Demographic Analysis of Software Piracy Users

Demographic Analysis of Software Piracy Users Software Piracy: Most common factors that influence the intention to use among college students in Selangor, Malaysia Abstract Software piracy is one of the worst problems facing the software industry, and the piracy rate around the world is rising and in 2008 alone software industry lost more than US$ 5.3 billion due to software piracy, and in the same time frame Malaysian software industry lost around US$ 368 million. Many previous researches concluded that software piracy is common among college students, preventive and deterrents techniques were no effective in combating the piracy problem, therefore there is a great urgency to identify the factors that leads to software piracy in order to formulate better strategies to overcome the problem. This research identified six variables that influence the intention of college students to use pirated software; they are Gender, Age, Value Consciousness, Attitude, Peer pressure and Novelty seeking. A survey was conducted with students who are attending colleges in Selangor, Malaysia, with a total of 247 respondents participated in the survey. The study found out that Value consciousness, Attitude, Peer pressure and Novelty seeking are the factors that has significant relationship with intention to use pirated software, however gender and age was not found to be significant factors that influence the intention to use pirated software. 1.0 Chapter 1: Introduction: Software piracy can be considered as robbery, an infringement of copyrights, and anything that is copyrighted can be pirated and almost anything worth copying is worth pirating (Honick and Craig, 2005). Independent study sponsored by Business software Alliance (BSA) shows that software piracy is the worst problem that software industry faced, BSA defines software piracy as the unauthorized copying or distribution of softwares. When the end users purchase the software they do not become the owner of the product, however they have the rights to use the software under the terms and conditions oppose by the copyright owner of the software. According to Microsoft there are 5 basic type of piracy, 1- End user copying: Here individuals or organizations copy and distribute unlicensed copies of the software or purchase a licensed copy and use beyond the allowed limits. 2- Hard disk loading: this is practiced by computer manufacturers who use a legal copy of a software to install as many PC they want and sold to end users who are not aware of the wrong doing 3- Counterfeiting: software and its packaging are illegally produced in a large scale. 4- Online: Online piracy occurs when the end user download the software from an online source without the permission of the copyright owner. 5- License misuse: software distributed with a discount rates for the high-volume customers, computer manufactures, and academic institutions that then redistribute these software to others who are not qualified for the software. 1.1 Background of the problem TA study conducted by BSA (200X), shows that piracy rates went up from 38% in 2007 to 41% in 2008 worldwide, however the encouraging news is that among the 110 countries the study was conducted, in 57 counties (52%) the piracy went down and in one third of the countries piracy remained unchanged (35%).The monetary losses for software vendors grew from US $ 5.1 billion to US $ 5.3 billion from 2007 to 2008. Lowest piracy countries according to the BSA(200x), research were the United States Luxemburg, New Zealand and Japan, at around 20% and highest piracy rates were among Armenia, Georgia, Bangladesh and Zimbabwe around 90%. Research conducted by International Data Corporation (IDC 200X) shows that, if piracy is lowered 10% in four years it will create more that 600,000 jobs worldwide. Robert Holleyman, the president and CEO of Business software Alliance stated that in 2008 more that 40% of the software installed worldwide was obtained illegally and cost US $ 50 billion of losses to the software industry. For every dollar of the software sold another 3 or 4 dollars are paid to the local IT farms, in other words software piracy means less jobs in Information Technology Industry, as per IDC (200x) study if piracy is reduced 10%, governments will generate more that US $ 24 billion in revenue without increasing tax. According to Rothken (1998) buyers of legitimate software has to pay an additional 15 dollars to every 100 dollars spent on software, meaning software add 15% to the price of legitimate software because of software piracy. Software piracy will also increase cybercrime and security problems, a study conducted by IDC in 2006 shows that more than 29% of the websites and 61% of peer-to-peer sites offering illegal software infect the computers with virus and other types of identity theft tools. Software piracy is somewhat out of controlled in the real world, Microsoft investigators found pirated software in the computers of a police department who were investigating piracy, and also one out of three software used in business are pirated ( Carbon 1997). The population of Malaysia is estimated at 28 million and spends more than US$ 4.6 billion in information technology, which is 2.9% of the annual GDP. There are more than 6,900 companies employing 222,100 employers in the field of information technology (BSA, 2007). 1.2 Problem statement In Malaysia piracy increased by 1% (from 58% in 2007 to 59% in 2008) and it terms of financial losses, Malaysia lost over US $ 368 million compare to US $ 311 million in 2007. If piracy could be brought down to 10% in next 4 years (2008-2011), Malaysia could create an additional 2,600 jobs, financial gain of US $ 660 million to Malaysian software companies and US $ 144 million in tax revenue for federal, regional and local governments (BSA, 2007). This research aim to find the common factors that influences the intention of college students in Malaysia to use pirated software, as finding these factors will help to combat the issue of software piracy more efficiently. 1.3 Objective of the study: Software piracy has become a worldwide dilemma due to the financial and economic losses the software industry and governments has to face, also extra cost, viruses and other identity theft problems the consumers have to bear. For an issue that has gone out of control, like software piracy, its important to identify grass root problems. In the case of software piracy it is important to identify what factors influence the intention of individuals to use pirated software; this will help the software industry to come up with better strategies in the fight against software piracy. TAs colleges and universities are identified as breeding grounds for software piracy by Hinduja (2007,) and use of pirated software is a common problem in universities and which even happens inside classrooms (Kurger 2003) and college students believe its ethical to use pirated software (Cohen and Cornwell, 1989), its important to find what factors that influence these behaviors in college students in Malaysian context. 1.4 Purpose of the study: TA study conducted by Cohen and Cornwell (1989) shows that software piracy is acceptable among the college students, research done by Hinduja (2007) illustrate that colleges and universities are breeding grounds for software piracy. Protecting the intellectual property is a key factor for the copyright holder and for the consumers as well. The financial loss the software companies are facing is due to the casual attitude of the consumers towards intellectual property rights (SIIA KPMG 2001). Unauthorized distribution and use of software without copyright owners permission is illegal. Number of legal cases conforms that copy right and patent laws apply to computer software. In the case of Whelan Association Inc v. Jaslow Dental Laboratories, Inc (1986), Lotus Development Corp v. Paperback software Intl (1990), Plains Cotton Corporative International Inc v. Altai Inc (1992) court ruled that intellectual properties were protected (Lau, 2006). According to the Malaysian copy right act 1987, if an individual or a corporation was found in position with unauthorized software, the user may face criminal charges, they will face a fine of not exceeding RM 10,000 for each infringing copy, or prison sentence of not exceeding five years, or both. Preventives and deterrents are the commonly used techniques in the fight against software piracy (Gopal and Sanders, 1997), preventives makes it difficult for software crackers to crack the software by increasing the security features. The idea behind the preventive concept is that, when it becomes difficult to crack, the software hackers will find cracking softwares are hard and eventually give up. Deterrent uses the laws and regulation to prevent software piracy. The truth is preventives and deterrents are not so effective, the higher security that is placed in the softwares are checked by more advanced tools, its only a matter of time for software crackers to crack the security codes, the fact that deterrents are not working can be seen from the fact that only 1-5% of the computer abuse is detected. This proves the need to find the influential factors that derives individuals towards software piracy, understanding these factors will help to formulate better strategies to deal with the problem of software piracy. 1.5 Justification of the study: There have been number of studies conducted in relation with software piracy among the college students, however a study focused on college students in Malaysia is not found, Since Malaysia also looses enormous amount of revenue and jobs as a result of software piracy, and the fact that colleges and universities are identified as the breeding ground of software piracy and these are the people who are going to be professionals tomorrow, its important to identify the factors the influence the intention of college students in Malaysia to use pirated software. Since most of the current studies are conducted outside Malaysia, there might be some significant difference in the behavior of the college students in Malaysia compare to previous research done in other countries. As there are no researches done on college students in Malaysia, it will be difficult to guaranty that those factors brought in by other literature can we applied to college students in Malaysia. T 1.6 Research questions This study aims to answer following questions. Will factors like Value consciousness, Attitude, Peer pressure and Novelty Seeking influence the intention to use pirated software among college student in Malaysia? Will demographic factors like Age and gender influence the intention to use pirated software among college students in Malaysia? 1.7 Organization of the study: This study has five chapters; the chapter one includes the background of the problem, problem statement, objective and purpose of the research, justification and research questions. The second chapter is a Literature review, which talks about different theories related to behavior and ethics, findings of the previous literature and few models used in articles writing in the subject of software piracy are discussed. Third chapter is the methodology, which talks about the research philosophy, purpose, approach, and strategy and sample selection used in this study. The forth chapter talks about the findings of the study and the fifth chapter is a conclusion of this study, along with the limitation of the study and further research suggestions. 2.0 Chapter 2: Literature Review First part of this chapter reviews different theories related to behavior and ethics, particularly the Theory of Reasoned Actions by Fishbein and Ajzen, Theory of planned behavior by Ajzen and theory of moral development by Kohlberg were discussed, which will be useful in understanding the factors influence an individuals intention to use pirated software. Second part of this chapter is focused on the findings of the previous literatures, specifically the literatures related to factors the influence individuals to use pirated software will be examined and finally the models used in some literatures will be used to explain software piracy. 2.1 Theory of reasoned action Theory of Reasoned Action, developed by Icek Ajzen and Martin Fishbein (1980) were used to explain why an individual behaves in a certain manner. The theory is based on the assumption that humans are rational and information available to them will be used systematically. TRA uses attitude and norms to predict behavioral intentions, that is when attitude leads to certain behavior but the relevant norms suggest something else, then both factors influence the behavior. The Theory of Reasoned Actions (TRA) identifies that behavior is a function of intention and intention is a function of both attitude and subjective norms. Theory of Reasoned Action is an useful tool used in predicting certain behaviors, its has been applied in predicting number of behaviors like dental hygiene, smoking, breast cancer examinations and the use of seatbelts. (Change, 1998) Enker (1987) examined how attitude and normative belief is related to cheating and he found out that theory of reasoned action was a useful tool in understanding moral behavior of an individual. The motive behind explaining the theory of reasoned action is to understand the sequence of actions that leads to a certain behavior such as software piracy. 2.2 Theory of planned behavior In 1985, Ajzen concluded that Theory of Reasoned Action was not fully completed; he explained that TRA was insufficient, as it does not give consideration to situations where behavior is not under the individuals control. To address these restrictions in TRA, Ajzen developed the Theory of Planned behavior (TPB), which was an extension of Theory of Reasoned Actions The new model proposed by Ajzen included the Perceived Behavior Control (PBC) which was not found in TRA. PBC could be easily measured, and identifies the individuals belief on the difficulty level in performing a certain behavior (Ajzen and Madden, 1986). The Theory of Planned Behavior states that an intention to behave in a particular fashion originates from persons attitude, subjective norms and perceived behavioral control. Similar to the Theory of Reasoned Action (TRA), Theory of Planned Behavior (TPB) is used is in wide range of situation to predict a behavior (Flanny and May, 2000) Chang (1998) tested the validity of both Theory of Reasoned Action and Theory of Planned behavior in software piracy. The research was conducted to see the capacity of TRA to explain software piracy behavioral intentions and to see whether TPB can predict software piracy more accurately than TRA. Chang (1998) concluded that perceived behavioral control is the most important factor that influences individuals to used pirated software. Individuals who behave unethically most of the time do not have the full control of the situation. Opportunities must be available to the individual for him to use pirated software. 2.3 Kohlbergs theory of moral development Kohlberg (1969) developed the theory of moral development, which consists of 3 level of moral development and each level contains 2 stages. The concept behind the moral development stages is that, an individual mature morally when they mature intellectually. Preconvention is the first level of moral development, this is the beginning of the moral development process, and in the first stage of preconvention level (Punishment and obedience orientation) an individual will have full respect for the authority and only concentrate on avoiding any punishment. At the second stage of the first level (reward orientation) an individual will focus on achieving personal benefits such and rewards. At this stage an individual will concentrate more on satisfying his or her own needs rather than fulfilling the needs of others or society as a whole. Conventional is the second level of moral development, in this level individuals focus more on a group, this is the level where peer pressure begins to influence the decision of an individual. At the first stage of this level an individual will think in terms of social convention, someone is labeled good or bad based on familial and social norms. If individuals turn to second stage of level two, they mature morally and focus on law and regulations, at this stage the focus is on maintaining social order, so that societies can function in an orderly manner. Post conventional is the final level of the moral development proposed by Kohlberg, if an individual reaches the first stage of post conventional level one should be able emphasize on what could be legally binding, however one should be able to understands that laws can be amended to meet the social demand. When an individual is at the final stage of moral development or the universal ethical principle orientation individuals see himself as a judge for the moral problems. Individuals at this stage are more concern about human rights, justices and equity in decision making. According to Kohlberg, most people are stuck at the conventional level, authority orientation stage, where law and order is the key aspect of moral decision making. A study conducted by Lane and Lane (1996) on the subject of softlifting (pirating software for personal use) found out that many students who participated in their study remained in the conventional level, authority orientation stage, of the moral development, based on their research they concluded that moral reasons behind software piracy was less important to the student compare to the benefit from softlifting. 2.4 Software piracy literature 2.4.1 Age Prior research conduct on software piracy shows that age had a significant influence on software piracy, hence younger responded were found more acceptable to use pirated software (Al-Rafee and Cronan 2006; Peace 1997 and Gopal and Sanders 1997). Research conducted by Liebowitz (2004) on piracy in the music industry showed that 41% of internet users between the age group of 18 29 download music illegally compare to 21% in the age group of 33-44. However a study conducted by Kini et al, (2004) concluded that age has no significant influence on software piracy. 2.4.2 Gender Kini et al.., (2004), suggest that female students have a higher morality than male students, thus female students use pirated software less than their male counterparts. Ford and Richardson in their research in 1994 also concluded that females are more ethical than males; therefore females will use pirated software less than males, as software piracy can be considered unethical. Even thought the research conducted by Weng et al, (2005) explained that gender was not a significant factor in the behavior to use pirated software, and one possible factor that researches shows male use pirated software is because they are more risk takers than female, this explanation seconds the research done by Solomon and OBrien, (1990) Banjerjee (1992) and Sim et al (1996),as they concluded that gender was practically accountable to the decision of an individual to use pirated software. 2.4.3 Consequences of using pirated software Using pirated software could be costly for an organization, even thought their employees used the pirated software without the knowledge of the top management, the management could be held liable for the action on their employees (Robinson and Reithel.., 1994). However individuals do not see the use of pirated software as a crime or unethical behavior (Im and Van Epps, 1991, Reid et al.., 1992). Also risk of been prosecuted was not identified as a significant factor in the study conducted by Hsu and Shiue (2008), because in reality its highly unlikely to get caught and been prosecuted for using pirated software. Kini et al, (2004) suggest that there is lack of recognition and enforcement to intellectual property laws, making software piracy a common phenomenon. 2.4.4 Income and economic conditions related to software piracy The study conducted by Gopal and Sanders, (2000) and Yang et al.., (2009) indicated that ability for an individual to purchase the original softwares is related to his or her income. Countries with higher Gross National Income (GNI) such as United States, Japan and Luxemburg has a lower piracy rate (less than 21%) compare to Georgia, Bangladesh, and Armenia, where piracy rate is more than 92% (BSA, 2008), and for these poor countries software piracy rate remains an economic issue (Moores, 2008). Individuals who earns a high income tend to use pirated software lesser than the individuals who earns a lower income (Wee et al.., 1995). Lamayem et al.., (2004) also backed this concept by stating that economic growth declines the piracy rate in a country; however some individuals might continue to use pirated software due to hobbits. Yang et al, (2009), also stressed that economic improvement tend to reduce the use of software piracy. 2.4.4.1 Top 10 high and low piracy rates Countries with high piracy rate % Countries with low piracy rate % Georgia 95 United States 20 Bangladesh 92 Japan 21 Armenia 92 Luxembourg 21 Zimbabwe 92 New Zealand 22 Sri Lanka 90 Austria 24 Azerbaijan 90 Belgium 25 Moldova 90 Denmark 25 Yemen 89 Sweden 25 Libya 87 Switzerland 25 Table 2.2: Top 10 High and Low piracy rate Source: BSA piracy report 2008 Moores (2008) in his study on â€Å"An Analysis of the impact of economic Wealth and National Culture on the rise and fall of software piracy rates† found out that Software Piracy Rate (SPR) in a country is related to its economic wellbeing and Individualism-collectivism (IDV) of a country. 2.4.5 Cost of original software At an individual level, the cost of original software is considered as prime factor that influences the decision of an individual to use pirated software or not (Cheng et al, 1997). Moores and Dhillion, (2000), Rawlinson et al, (2007,) in their research found out that most university students do not have much discretionary income with which to purchase original software, they also point out that reduction of the price of the original software will reduce the software piracy rate. Studies conducted by many researchers in the subject of software piracy identifies that financial gain that an individual gets from using pirated software is the most common reason to use pirated software (Cheng et al..,1997, Moores and Dhillion, 2000; Traphagan Griffith, 1998; Wee et al.., 1995). According to Al-Rafee and Cronan (2006) many users believed that original softwares are overpriced, this concept was also supported by the studies conducted by Albert-Miller (1999);Block et al.., (1993); Cheng et al.., (1997). 2.4.6 Software piracy in an ethical context Banerjee et al.., (1998,) developed a research framework based on the Theory of Planned Behavior (TPB) to model the ethical behavior intentions of Information system (IS) professionals and found that individual and situational characteristics do influence ethical behavior intentions. Loch and Conger (1996) in their study found that attitude and social norms play an important role in ethical decision making situation which can be related to the use of pirated software. Researches done on the subject of software piracy found that software piracy was a normative and accepted behavior, (Cohen and Cornwell 1989), and many individuals do not consider software piracy as a moral issue and use of pirated software is widely common among the business students (Soloman and OBrien 1990) Simpson et al.., (1994,) examined factors influencing softlifting, and identified five factors that influence and individuals decision making process, they are, stimulus to act, socio- cultural factors, legal factors, personal factors, situational factors. They found out that personal and situational factor influence the softlifting behavior. Thong and Yap .., (1998,) also attempted to explain soft lifting behavior using ethical decision making theory (the theory suggest that individuals are influence by deontological[1]F and teleological[2]F consequences of behavior) study showed both were found to influence the decision to use pirated software. Peace et al.., (2003,) generated a software piracy model using Theory of Planned behavior (TPB) as a framework to explain the intention to use pirated software. The study concluded that attitude (which is affected by the cost of original software, punishment severity and punishment certainty), subjective norms and perceived behavioral control were found to be significant factors that influence the intention of and individual to use pirated software. Zhang et al.., 2009 used the general theory of crime and deterrence theory to explain behavior that leads to digital piracy and they found out that only risk taking and punishment certainty leads to digital piracy. Simpson et al.., (1994,) found out that, Academic institutions are increasingly including ethical education in their curriculum. However many studies done on software piracy suggest that ethical education in academic institution had no or minimal effect on the intention of the students to use pirated software (Simpson et al.., 1994; Taylor and Shim.., 1993). Even though, individuals who felt a moral obligation or guilt towards software piracy have less intention to use pirated software (Cronan and Al-Rafee.., 2007). Logsdon et al.., (1994) and Al-Rafee and Cronan (2006) in their studies tested the assumption that individuals with higher level of moral development, are less likely to use pirated software, however they did not find a strong relationship between level of moral judgment and attitude towards using software piracy. The researchers also warn the software developers that even individuals with higher moral reasoning may engage in software piracy. Its believed that culture of a country influences the development of an individuals moral judgment and on understanding of moral intensity regarding software piracy. Christensen and Eining (1990) indicated that individual do not see piracy as inappropriate behavior and they do not believe their friends and superiors believe its inappropriate behavior. Researches concludes that use of pirated softwares in colleges and universities are more common than the general public (Kini et al, 2004). A study conducted by Taylor and Shim (1993) found out that professors use pirated softwares more than business executives. With a sample size of 243 college students , Kuo and Hsu (2001) conducted a research based on Banduras social cognitive theory (Bandura, 1982) and they discovered that self-efficacy was an important element in software piracy, subject with higher self-efficacy were more likely to engage in piracy. The famous psychologist Albert Bandura defines self-efficacy as â€Å"over belief in our ability to succeed in a specific situation†. Kini et al (2004) studied the cultural differences between the students of United States and Thailand in relation to software piracy, and they found out that students of United States has higher moral understanding towards software piracy compare to the students in Thailand. Swinyard et al (1990) in their research suggested that Asians have a more casual attitude towards software piracy than Americans, they are more likely to copy or buy software and less likely to criticize anyone who uses pirated software. Ferrell and Gresham (1985) emphasized the importance of peer group working supervisors in affecting ethical behavior. Christensen and Eining (1991), identified that the decision to use pirated software are influenced by the attitudes of friends and organization, these researchers also indicated that students do not perceive software piracy as inappropriate since they also believe their friends and superiors share this same view. 2.4.7 Problem of software piracy Softwares were the first product thats copied electronically in a large scale (Swinyard et al.., 1990). According to Yang, (2009) software piracy is a huge problem for policy makers and consumers alike, due to the uncertainty involving cross border conflicts, business losses and consumer exposing to virus and different kind of identity theft. McDonald and Roberts (1994) also considered software piracy as a very serious problem though out the world and the reason that it has become so hard to deal with this problem is the easiness in duplicating a copyrighted product. Tang and Farn (2005) concluded that supply to the pirated software will exists as long as there is a demand for pirated software, enforcement of laws and regulation and awareness programs may minimize the piracy rates, but it will not stop people from using pirated software. 2.4.8 Software piracy from a different angle Researchers who try to take the use of software piracy positively suggests that, software piracy can be seen as a form of product sampling, and that sampling can aid in the diffusion of a good (Gupta et al, 2004).As per Mahajan and Muller 1995, the success of excel over lotus 1, 2, and 3 was due to the high tolerance level towards software piracy. Givon et al, (1995), in their paper, â€Å"Software Piracy: Estimation of lost sales and impact on software diffusion† used a diffusion modeling approach to estimate the sale of software piracy, and they concluded software piracy creates shadow diffusion of the software same as the diffusion of original software in the market, the shadow diffusion is a major influential factor on the diffusion of the original software. They argue that the sellers of the pirated softwares may influence the potential buyers to adopt the pirated software, and some of these adopters might even purchase the original software. However, Solomon and OBrien.., (1990,) had a different view; they think software piracy will de-motivate the software developers to bring quality products to the market. Also the consumers have to pay a higher price to use original software; because the price of the legitimate software is inflated in order to make up to the loss of revenue from software piracy (Eining and christensen.., 1991; Taylor and Shim, 1993,). In the fight against software piracy, Germany has started enforcing a charge on every CD burner that is sold to compensate the loss of revenue due to piracy (Cronan and Al-Rafee.., 2007,) 2. 5 Models used in literatures of software piracy In this section, previous research models are discussed in order to explain software piracy. Five models related to software piracy will be examined here, as shown below. 2.5.2 Tim Goles et al Model Tim Goles et al.., 2007 proposed a model to identify the intention to softlift, their model is shown below: The model shows that there is a significant positive relationship between Perceived usefulness, past behavior, technical personal identity, and risk taking personal identity towards attitude to softlift. And negative relation between awareness of the law, moral personal obligation, and legal personal identity towards attitude to softlift. Furthermore the past behavior and attitude towards softlifting has a positive relation with the persons intention Demographic Analysis of Software Piracy Users Demographic Analysis of Software Piracy Users Software Piracy: Most common factors that influence the intention to use among college students in Selangor, Malaysia Abstract Software piracy is one of the worst problems facing the software industry, and the piracy rate around the world is rising and in 2008 alone software industry lost more than US$ 5.3 billion due to software piracy, and in the same time frame Malaysian software industry lost around US$ 368 million. Many previous researches concluded that software piracy is common among college students, preventive and deterrents techniques were no effective in combating the piracy problem, therefore there is a great urgency to identify the factors that leads to software piracy in order to formulate better strategies to overcome the problem. This research identified six variables that influence the intention of college students to use pirated software; they are Gender, Age, Value Consciousness, Attitude, Peer pressure and Novelty seeking. A survey was conducted with students who are attending colleges in Selangor, Malaysia, with a total of 247 respondents participated in the survey. The study found out that Value consciousness, Attitude, Peer pressure and Novelty seeking are the factors that has significant relationship with intention to use pirated software, however gender and age was not found to be significant factors that influence the intention to use pirated software. 1.0 Chapter 1: Introduction: Software piracy can be considered as robbery, an infringement of copyrights, and anything that is copyrighted can be pirated and almost anything worth copying is worth pirating (Honick and Craig, 2005). Independent study sponsored by Business software Alliance (BSA) shows that software piracy is the worst problem that software industry faced, BSA defines software piracy as the unauthorized copying or distribution of softwares. When the end users purchase the software they do not become the owner of the product, however they have the rights to use the software under the terms and conditions oppose by the copyright owner of the software. According to Microsoft there are 5 basic type of piracy, 1- End user copying: Here individuals or organizations copy and distribute unlicensed copies of the software or purchase a licensed copy and use beyond the allowed limits. 2- Hard disk loading: this is practiced by computer manufacturers who use a legal copy of a software to install as many PC they want and sold to end users who are not aware of the wrong doing 3- Counterfeiting: software and its packaging are illegally produced in a large scale. 4- Online: Online piracy occurs when the end user download the software from an online source without the permission of the copyright owner. 5- License misuse: software distributed with a discount rates for the high-volume customers, computer manufactures, and academic institutions that then redistribute these software to others who are not qualified for the software. 1.1 Background of the problem TA study conducted by BSA (200X), shows that piracy rates went up from 38% in 2007 to 41% in 2008 worldwide, however the encouraging news is that among the 110 countries the study was conducted, in 57 counties (52%) the piracy went down and in one third of the countries piracy remained unchanged (35%).The monetary losses for software vendors grew from US $ 5.1 billion to US $ 5.3 billion from 2007 to 2008. Lowest piracy countries according to the BSA(200x), research were the United States Luxemburg, New Zealand and Japan, at around 20% and highest piracy rates were among Armenia, Georgia, Bangladesh and Zimbabwe around 90%. Research conducted by International Data Corporation (IDC 200X) shows that, if piracy is lowered 10% in four years it will create more that 600,000 jobs worldwide. Robert Holleyman, the president and CEO of Business software Alliance stated that in 2008 more that 40% of the software installed worldwide was obtained illegally and cost US $ 50 billion of losses to the software industry. For every dollar of the software sold another 3 or 4 dollars are paid to the local IT farms, in other words software piracy means less jobs in Information Technology Industry, as per IDC (200x) study if piracy is reduced 10%, governments will generate more that US $ 24 billion in revenue without increasing tax. According to Rothken (1998) buyers of legitimate software has to pay an additional 15 dollars to every 100 dollars spent on software, meaning software add 15% to the price of legitimate software because of software piracy. Software piracy will also increase cybercrime and security problems, a study conducted by IDC in 2006 shows that more than 29% of the websites and 61% of peer-to-peer sites offering illegal software infect the computers with virus and other types of identity theft tools. Software piracy is somewhat out of controlled in the real world, Microsoft investigators found pirated software in the computers of a police department who were investigating piracy, and also one out of three software used in business are pirated ( Carbon 1997). The population of Malaysia is estimated at 28 million and spends more than US$ 4.6 billion in information technology, which is 2.9% of the annual GDP. There are more than 6,900 companies employing 222,100 employers in the field of information technology (BSA, 2007). 1.2 Problem statement In Malaysia piracy increased by 1% (from 58% in 2007 to 59% in 2008) and it terms of financial losses, Malaysia lost over US $ 368 million compare to US $ 311 million in 2007. If piracy could be brought down to 10% in next 4 years (2008-2011), Malaysia could create an additional 2,600 jobs, financial gain of US $ 660 million to Malaysian software companies and US $ 144 million in tax revenue for federal, regional and local governments (BSA, 2007). This research aim to find the common factors that influences the intention of college students in Malaysia to use pirated software, as finding these factors will help to combat the issue of software piracy more efficiently. 1.3 Objective of the study: Software piracy has become a worldwide dilemma due to the financial and economic losses the software industry and governments has to face, also extra cost, viruses and other identity theft problems the consumers have to bear. For an issue that has gone out of control, like software piracy, its important to identify grass root problems. In the case of software piracy it is important to identify what factors influence the intention of individuals to use pirated software; this will help the software industry to come up with better strategies in the fight against software piracy. TAs colleges and universities are identified as breeding grounds for software piracy by Hinduja (2007,) and use of pirated software is a common problem in universities and which even happens inside classrooms (Kurger 2003) and college students believe its ethical to use pirated software (Cohen and Cornwell, 1989), its important to find what factors that influence these behaviors in college students in Malaysian context. 1.4 Purpose of the study: TA study conducted by Cohen and Cornwell (1989) shows that software piracy is acceptable among the college students, research done by Hinduja (2007) illustrate that colleges and universities are breeding grounds for software piracy. Protecting the intellectual property is a key factor for the copyright holder and for the consumers as well. The financial loss the software companies are facing is due to the casual attitude of the consumers towards intellectual property rights (SIIA KPMG 2001). Unauthorized distribution and use of software without copyright owners permission is illegal. Number of legal cases conforms that copy right and patent laws apply to computer software. In the case of Whelan Association Inc v. Jaslow Dental Laboratories, Inc (1986), Lotus Development Corp v. Paperback software Intl (1990), Plains Cotton Corporative International Inc v. Altai Inc (1992) court ruled that intellectual properties were protected (Lau, 2006). According to the Malaysian copy right act 1987, if an individual or a corporation was found in position with unauthorized software, the user may face criminal charges, they will face a fine of not exceeding RM 10,000 for each infringing copy, or prison sentence of not exceeding five years, or both. Preventives and deterrents are the commonly used techniques in the fight against software piracy (Gopal and Sanders, 1997), preventives makes it difficult for software crackers to crack the software by increasing the security features. The idea behind the preventive concept is that, when it becomes difficult to crack, the software hackers will find cracking softwares are hard and eventually give up. Deterrent uses the laws and regulation to prevent software piracy. The truth is preventives and deterrents are not so effective, the higher security that is placed in the softwares are checked by more advanced tools, its only a matter of time for software crackers to crack the security codes, the fact that deterrents are not working can be seen from the fact that only 1-5% of the computer abuse is detected. This proves the need to find the influential factors that derives individuals towards software piracy, understanding these factors will help to formulate better strategies to deal with the problem of software piracy. 1.5 Justification of the study: There have been number of studies conducted in relation with software piracy among the college students, however a study focused on college students in Malaysia is not found, Since Malaysia also looses enormous amount of revenue and jobs as a result of software piracy, and the fact that colleges and universities are identified as the breeding ground of software piracy and these are the people who are going to be professionals tomorrow, its important to identify the factors the influence the intention of college students in Malaysia to use pirated software. Since most of the current studies are conducted outside Malaysia, there might be some significant difference in the behavior of the college students in Malaysia compare to previous research done in other countries. As there are no researches done on college students in Malaysia, it will be difficult to guaranty that those factors brought in by other literature can we applied to college students in Malaysia. T 1.6 Research questions This study aims to answer following questions. Will factors like Value consciousness, Attitude, Peer pressure and Novelty Seeking influence the intention to use pirated software among college student in Malaysia? Will demographic factors like Age and gender influence the intention to use pirated software among college students in Malaysia? 1.7 Organization of the study: This study has five chapters; the chapter one includes the background of the problem, problem statement, objective and purpose of the research, justification and research questions. The second chapter is a Literature review, which talks about different theories related to behavior and ethics, findings of the previous literature and few models used in articles writing in the subject of software piracy are discussed. Third chapter is the methodology, which talks about the research philosophy, purpose, approach, and strategy and sample selection used in this study. The forth chapter talks about the findings of the study and the fifth chapter is a conclusion of this study, along with the limitation of the study and further research suggestions. 2.0 Chapter 2: Literature Review First part of this chapter reviews different theories related to behavior and ethics, particularly the Theory of Reasoned Actions by Fishbein and Ajzen, Theory of planned behavior by Ajzen and theory of moral development by Kohlberg were discussed, which will be useful in understanding the factors influence an individuals intention to use pirated software. Second part of this chapter is focused on the findings of the previous literatures, specifically the literatures related to factors the influence individuals to use pirated software will be examined and finally the models used in some literatures will be used to explain software piracy. 2.1 Theory of reasoned action Theory of Reasoned Action, developed by Icek Ajzen and Martin Fishbein (1980) were used to explain why an individual behaves in a certain manner. The theory is based on the assumption that humans are rational and information available to them will be used systematically. TRA uses attitude and norms to predict behavioral intentions, that is when attitude leads to certain behavior but the relevant norms suggest something else, then both factors influence the behavior. The Theory of Reasoned Actions (TRA) identifies that behavior is a function of intention and intention is a function of both attitude and subjective norms. Theory of Reasoned Action is an useful tool used in predicting certain behaviors, its has been applied in predicting number of behaviors like dental hygiene, smoking, breast cancer examinations and the use of seatbelts. (Change, 1998) Enker (1987) examined how attitude and normative belief is related to cheating and he found out that theory of reasoned action was a useful tool in understanding moral behavior of an individual. The motive behind explaining the theory of reasoned action is to understand the sequence of actions that leads to a certain behavior such as software piracy. 2.2 Theory of planned behavior In 1985, Ajzen concluded that Theory of Reasoned Action was not fully completed; he explained that TRA was insufficient, as it does not give consideration to situations where behavior is not under the individuals control. To address these restrictions in TRA, Ajzen developed the Theory of Planned behavior (TPB), which was an extension of Theory of Reasoned Actions The new model proposed by Ajzen included the Perceived Behavior Control (PBC) which was not found in TRA. PBC could be easily measured, and identifies the individuals belief on the difficulty level in performing a certain behavior (Ajzen and Madden, 1986). The Theory of Planned Behavior states that an intention to behave in a particular fashion originates from persons attitude, subjective norms and perceived behavioral control. Similar to the Theory of Reasoned Action (TRA), Theory of Planned Behavior (TPB) is used is in wide range of situation to predict a behavior (Flanny and May, 2000) Chang (1998) tested the validity of both Theory of Reasoned Action and Theory of Planned behavior in software piracy. The research was conducted to see the capacity of TRA to explain software piracy behavioral intentions and to see whether TPB can predict software piracy more accurately than TRA. Chang (1998) concluded that perceived behavioral control is the most important factor that influences individuals to used pirated software. Individuals who behave unethically most of the time do not have the full control of the situation. Opportunities must be available to the individual for him to use pirated software. 2.3 Kohlbergs theory of moral development Kohlberg (1969) developed the theory of moral development, which consists of 3 level of moral development and each level contains 2 stages. The concept behind the moral development stages is that, an individual mature morally when they mature intellectually. Preconvention is the first level of moral development, this is the beginning of the moral development process, and in the first stage of preconvention level (Punishment and obedience orientation) an individual will have full respect for the authority and only concentrate on avoiding any punishment. At the second stage of the first level (reward orientation) an individual will focus on achieving personal benefits such and rewards. At this stage an individual will concentrate more on satisfying his or her own needs rather than fulfilling the needs of others or society as a whole. Conventional is the second level of moral development, in this level individuals focus more on a group, this is the level where peer pressure begins to influence the decision of an individual. At the first stage of this level an individual will think in terms of social convention, someone is labeled good or bad based on familial and social norms. If individuals turn to second stage of level two, they mature morally and focus on law and regulations, at this stage the focus is on maintaining social order, so that societies can function in an orderly manner. Post conventional is the final level of the moral development proposed by Kohlberg, if an individual reaches the first stage of post conventional level one should be able emphasize on what could be legally binding, however one should be able to understands that laws can be amended to meet the social demand. When an individual is at the final stage of moral development or the universal ethical principle orientation individuals see himself as a judge for the moral problems. Individuals at this stage are more concern about human rights, justices and equity in decision making. According to Kohlberg, most people are stuck at the conventional level, authority orientation stage, where law and order is the key aspect of moral decision making. A study conducted by Lane and Lane (1996) on the subject of softlifting (pirating software for personal use) found out that many students who participated in their study remained in the conventional level, authority orientation stage, of the moral development, based on their research they concluded that moral reasons behind software piracy was less important to the student compare to the benefit from softlifting. 2.4 Software piracy literature 2.4.1 Age Prior research conduct on software piracy shows that age had a significant influence on software piracy, hence younger responded were found more acceptable to use pirated software (Al-Rafee and Cronan 2006; Peace 1997 and Gopal and Sanders 1997). Research conducted by Liebowitz (2004) on piracy in the music industry showed that 41% of internet users between the age group of 18 29 download music illegally compare to 21% in the age group of 33-44. However a study conducted by Kini et al, (2004) concluded that age has no significant influence on software piracy. 2.4.2 Gender Kini et al.., (2004), suggest that female students have a higher morality than male students, thus female students use pirated software less than their male counterparts. Ford and Richardson in their research in 1994 also concluded that females are more ethical than males; therefore females will use pirated software less than males, as software piracy can be considered unethical. Even thought the research conducted by Weng et al, (2005) explained that gender was not a significant factor in the behavior to use pirated software, and one possible factor that researches shows male use pirated software is because they are more risk takers than female, this explanation seconds the research done by Solomon and OBrien, (1990) Banjerjee (1992) and Sim et al (1996),as they concluded that gender was practically accountable to the decision of an individual to use pirated software. 2.4.3 Consequences of using pirated software Using pirated software could be costly for an organization, even thought their employees used the pirated software without the knowledge of the top management, the management could be held liable for the action on their employees (Robinson and Reithel.., 1994). However individuals do not see the use of pirated software as a crime or unethical behavior (Im and Van Epps, 1991, Reid et al.., 1992). Also risk of been prosecuted was not identified as a significant factor in the study conducted by Hsu and Shiue (2008), because in reality its highly unlikely to get caught and been prosecuted for using pirated software. Kini et al, (2004) suggest that there is lack of recognition and enforcement to intellectual property laws, making software piracy a common phenomenon. 2.4.4 Income and economic conditions related to software piracy The study conducted by Gopal and Sanders, (2000) and Yang et al.., (2009) indicated that ability for an individual to purchase the original softwares is related to his or her income. Countries with higher Gross National Income (GNI) such as United States, Japan and Luxemburg has a lower piracy rate (less than 21%) compare to Georgia, Bangladesh, and Armenia, where piracy rate is more than 92% (BSA, 2008), and for these poor countries software piracy rate remains an economic issue (Moores, 2008). Individuals who earns a high income tend to use pirated software lesser than the individuals who earns a lower income (Wee et al.., 1995). Lamayem et al.., (2004) also backed this concept by stating that economic growth declines the piracy rate in a country; however some individuals might continue to use pirated software due to hobbits. Yang et al, (2009), also stressed that economic improvement tend to reduce the use of software piracy. 2.4.4.1 Top 10 high and low piracy rates Countries with high piracy rate % Countries with low piracy rate % Georgia 95 United States 20 Bangladesh 92 Japan 21 Armenia 92 Luxembourg 21 Zimbabwe 92 New Zealand 22 Sri Lanka 90 Austria 24 Azerbaijan 90 Belgium 25 Moldova 90 Denmark 25 Yemen 89 Sweden 25 Libya 87 Switzerland 25 Table 2.2: Top 10 High and Low piracy rate Source: BSA piracy report 2008 Moores (2008) in his study on â€Å"An Analysis of the impact of economic Wealth and National Culture on the rise and fall of software piracy rates† found out that Software Piracy Rate (SPR) in a country is related to its economic wellbeing and Individualism-collectivism (IDV) of a country. 2.4.5 Cost of original software At an individual level, the cost of original software is considered as prime factor that influences the decision of an individual to use pirated software or not (Cheng et al, 1997). Moores and Dhillion, (2000), Rawlinson et al, (2007,) in their research found out that most university students do not have much discretionary income with which to purchase original software, they also point out that reduction of the price of the original software will reduce the software piracy rate. Studies conducted by many researchers in the subject of software piracy identifies that financial gain that an individual gets from using pirated software is the most common reason to use pirated software (Cheng et al..,1997, Moores and Dhillion, 2000; Traphagan Griffith, 1998; Wee et al.., 1995). According to Al-Rafee and Cronan (2006) many users believed that original softwares are overpriced, this concept was also supported by the studies conducted by Albert-Miller (1999);Block et al.., (1993); Cheng et al.., (1997). 2.4.6 Software piracy in an ethical context Banerjee et al.., (1998,) developed a research framework based on the Theory of Planned Behavior (TPB) to model the ethical behavior intentions of Information system (IS) professionals and found that individual and situational characteristics do influence ethical behavior intentions. Loch and Conger (1996) in their study found that attitude and social norms play an important role in ethical decision making situation which can be related to the use of pirated software. Researches done on the subject of software piracy found that software piracy was a normative and accepted behavior, (Cohen and Cornwell 1989), and many individuals do not consider software piracy as a moral issue and use of pirated software is widely common among the business students (Soloman and OBrien 1990) Simpson et al.., (1994,) examined factors influencing softlifting, and identified five factors that influence and individuals decision making process, they are, stimulus to act, socio- cultural factors, legal factors, personal factors, situational factors. They found out that personal and situational factor influence the softlifting behavior. Thong and Yap .., (1998,) also attempted to explain soft lifting behavior using ethical decision making theory (the theory suggest that individuals are influence by deontological[1]F and teleological[2]F consequences of behavior) study showed both were found to influence the decision to use pirated software. Peace et al.., (2003,) generated a software piracy model using Theory of Planned behavior (TPB) as a framework to explain the intention to use pirated software. The study concluded that attitude (which is affected by the cost of original software, punishment severity and punishment certainty), subjective norms and perceived behavioral control were found to be significant factors that influence the intention of and individual to use pirated software. Zhang et al.., 2009 used the general theory of crime and deterrence theory to explain behavior that leads to digital piracy and they found out that only risk taking and punishment certainty leads to digital piracy. Simpson et al.., (1994,) found out that, Academic institutions are increasingly including ethical education in their curriculum. However many studies done on software piracy suggest that ethical education in academic institution had no or minimal effect on the intention of the students to use pirated software (Simpson et al.., 1994; Taylor and Shim.., 1993). Even though, individuals who felt a moral obligation or guilt towards software piracy have less intention to use pirated software (Cronan and Al-Rafee.., 2007). Logsdon et al.., (1994) and Al-Rafee and Cronan (2006) in their studies tested the assumption that individuals with higher level of moral development, are less likely to use pirated software, however they did not find a strong relationship between level of moral judgment and attitude towards using software piracy. The researchers also warn the software developers that even individuals with higher moral reasoning may engage in software piracy. Its believed that culture of a country influences the development of an individuals moral judgment and on understanding of moral intensity regarding software piracy. Christensen and Eining (1990) indicated that individual do not see piracy as inappropriate behavior and they do not believe their friends and superiors believe its inappropriate behavior. Researches concludes that use of pirated softwares in colleges and universities are more common than the general public (Kini et al, 2004). A study conducted by Taylor and Shim (1993) found out that professors use pirated softwares more than business executives. With a sample size of 243 college students , Kuo and Hsu (2001) conducted a research based on Banduras social cognitive theory (Bandura, 1982) and they discovered that self-efficacy was an important element in software piracy, subject with higher self-efficacy were more likely to engage in piracy. The famous psychologist Albert Bandura defines self-efficacy as â€Å"over belief in our ability to succeed in a specific situation†. Kini et al (2004) studied the cultural differences between the students of United States and Thailand in relation to software piracy, and they found out that students of United States has higher moral understanding towards software piracy compare to the students in Thailand. Swinyard et al (1990) in their research suggested that Asians have a more casual attitude towards software piracy than Americans, they are more likely to copy or buy software and less likely to criticize anyone who uses pirated software. Ferrell and Gresham (1985) emphasized the importance of peer group working supervisors in affecting ethical behavior. Christensen and Eining (1991), identified that the decision to use pirated software are influenced by the attitudes of friends and organization, these researchers also indicated that students do not perceive software piracy as inappropriate since they also believe their friends and superiors share this same view. 2.4.7 Problem of software piracy Softwares were the first product thats copied electronically in a large scale (Swinyard et al.., 1990). According to Yang, (2009) software piracy is a huge problem for policy makers and consumers alike, due to the uncertainty involving cross border conflicts, business losses and consumer exposing to virus and different kind of identity theft. McDonald and Roberts (1994) also considered software piracy as a very serious problem though out the world and the reason that it has become so hard to deal with this problem is the easiness in duplicating a copyrighted product. Tang and Farn (2005) concluded that supply to the pirated software will exists as long as there is a demand for pirated software, enforcement of laws and regulation and awareness programs may minimize the piracy rates, but it will not stop people from using pirated software. 2.4.8 Software piracy from a different angle Researchers who try to take the use of software piracy positively suggests that, software piracy can be seen as a form of product sampling, and that sampling can aid in the diffusion of a good (Gupta et al, 2004).As per Mahajan and Muller 1995, the success of excel over lotus 1, 2, and 3 was due to the high tolerance level towards software piracy. Givon et al, (1995), in their paper, â€Å"Software Piracy: Estimation of lost sales and impact on software diffusion† used a diffusion modeling approach to estimate the sale of software piracy, and they concluded software piracy creates shadow diffusion of the software same as the diffusion of original software in the market, the shadow diffusion is a major influential factor on the diffusion of the original software. They argue that the sellers of the pirated softwares may influence the potential buyers to adopt the pirated software, and some of these adopters might even purchase the original software. However, Solomon and OBrien.., (1990,) had a different view; they think software piracy will de-motivate the software developers to bring quality products to the market. Also the consumers have to pay a higher price to use original software; because the price of the legitimate software is inflated in order to make up to the loss of revenue from software piracy (Eining and christensen.., 1991; Taylor and Shim, 1993,). In the fight against software piracy, Germany has started enforcing a charge on every CD burner that is sold to compensate the loss of revenue due to piracy (Cronan and Al-Rafee.., 2007,) 2. 5 Models used in literatures of software piracy In this section, previous research models are discussed in order to explain software piracy. Five models related to software piracy will be examined here, as shown below. 2.5.2 Tim Goles et al Model Tim Goles et al.., 2007 proposed a model to identify the intention to softlift, their model is shown below: The model shows that there is a significant positive relationship between Perceived usefulness, past behavior, technical personal identity, and risk taking personal identity towards attitude to softlift. And negative relation between awareness of the law, moral personal obligation, and legal personal identity towards attitude to softlift. Furthermore the past behavior and attitude towards softlifting has a positive relation with the persons intention

Charles Darwin & theory of evolution Essay

Charles Darwin in his theory of evolution suggests that man evolved from ape-like creatures. In this theory, there is an indication that the early man was distinct from apes. Hence, some discovery have pointed out the early man could stand upright while apes could not. The hands of the apes were made for climbing and clinging while the early man’s hands were jointed in such a way that he could use and make tools. Despite the little evidence on the tool-making affair of early man, remains of polished bones suggest that he made simple digging tools from bone. Generally, the early man appeared about 3 million years ago. However, the 1932 discovery by Louis Leaky in South Western Kenya reveal that Ramapitheticus is probably the oldest man known to date. Ramapitheticus is believed to have lived 12 to 14 years ago. Astralopitheticus, also known as the southern ape, were first discovered in South Africa. The creature had human-like maxillary form and walked upright. The teeth resembled that of human being and it has a full face, jaws and an endocranial bone. Some scientist believes that this creature was the first branch of apes that evolved into modern man. Other evidences of Australopithecines have been unearthed at Kromdraii, Makapansgat and Swartkrans. The Homo habilis also known as the handy man are believed to be the first true humans. Discovered in 1915 by Mary Leaky, it lived 1. 8 millions ago in Africa. Homo habilis are credited with making stone tools and basic weapons. They were taller than their ancestors. Homo habilis had huge non-human molars, a small brain, and a large sagital crest. Their main diet was probably wild fruits, nuts, roots, and vegetables. Although, the handy man did not have skills to make fire they built fire camps out of existing fires. The Homo erectus succeeded the Homo sabilis. They existed between 1. 6 million BCE to 30 000 BCE. He was about the same size as the modern man although the size of their brain was two third the size of human brain. Their tool making skills improved considerably; they made stone axes and knives. Homo erectus made fire and cooked their food. Besides fire camping, fire brought about social occasions in. Homo erectus had much semblance with human especially their teeth and jaws. They walked upright. Scientist discovered that these early men skeleton was shaped like modern man. Their skulls grew forward for their brain to develop. Besides, creating stone tools, and bone needles and fish hooks, the Homo sapiens sew clothes from animal skins. The Homo sapiens were also hunters and gatherers. In conclusion, several other discoveries that purport the existence of early man lack credibility. Piltdown man, also known as the dawn man and scientifically referred as Eanthropus dawsoni was discovered by Charles Dawson in 1912. He concluded that Piltdown man existed in 500 000 million years ago, had ape-like jawbone but the teeth and the skull resembled that of human being. However, after forty years of discovery, Kenneth Oakley, Joseph Weiner and Wilfred Le Gros Clark termed the discovery as a hoax. They claimed that the skull was indeed human and the jawbone was of a modern ape whose teeth were filed to resemble that of human. Again, Nebraska scientifically known as Hesperopithecus haroldcookii was discovered in Pliocene deposits of Nebraska in 1922 by Mr. Cook. It was publicized by Henry Osborn who likened its teeth to that of man. Unfortunately, he failed to conclude whether Hesperopithecus was an ape or human ancestor. References: Muller, H. J. (1959). One Hundred Years Without Darwin Are Enough. Osborn, H. F. (1926). The Evolution of Human Races, Natural History. Spielvogel, J. J. Western Civilization, Volume 1, Sixth Edition.

Computerized Enrollment System Essay

Today, the progress of institutions is largely determined by the ability to make use of computer technology. Computerization is a conclusive evidence of the advancement in science and technology which task is to maximize its purpose, primarily in education. The converting of manual to automated system is one best alternative to carry out manually workloads such as keeping records, computations, and retrieving information in the shortest possible. In the global village of the new economy, larger automation companies have little option- they must find more ways and means to expand worldwide. To do this they need to minimize domination of the central corporate culture, and maximize responsiveness to local customer needs. And thus, utilizing a computerized system can be simple change like providing production workers for greater freedom of movement in performing their task (http:/www.automationworld.com.auto.thml). In Bataan Polytechnic State College, the college-wide computerized enrollment system was implemented. Last October 2005, they put into operation the college –wide enrollment system for the first semester of the academic year 2005-2006. Applying the results and data generated by the administration, the college was able to remedy usual problems during admissions and enrollments such as the tendency to overlook procedures, confusion among the students on proper enrollment steps, and the inconsistency of the information generated and submitted to various offices within and outside the BPST. Furthermore, the college was able to triple the number of students served each day during the enrollment period. This made the operation faster, more accurate and efficient. (http://www.bpsc.edu.ph/news2.html). Tagum Doctors College (TDC) of Tagum City a private institution of learning is dedicated to the quality of education of the youth to preserve and enrich the life of all Filipino heritages. Its current enrollment process is totally paper-based. Their enrollment process was the result of disconnected accounting, cashiering, and student records systems.  This led to staff manually calculating individual fees. Additionally, the staff could not accommodate the expanding student population. Faced with these manual, disconnected processes, Tagum Doctors College wanted to simplify student enrolment with a self-service system that automatically generated payment amounts by centralizing all student, course, and accounting details. In this connection, the researchers intend to unload their agonies by creating a computerized enrollment system. Statements of the Problem After the preliminary investigation to the institution of Tagum Doctors College, the researchers encountered the following problems. 1. Difficulty in retrieving records of the students 2. Feasible errors in computing students’ accounts 3. Complexity in tracing the records of current enrolled students 4. Delayed in processing a report 5. Difficult to identify the rooms and teacher on its subject and 6. There is a conflict arise in making manual students class schedule. Objectives of the Study This study aimed to satisfy its main objective of developing an automated enrollment system that will support one of the operations of Tagum Doctors’ College. Along with this general objective, this also aimed to satisfy the following objectives: 1. To access easily in retrieving record of the students; 2. To establish errors free in computing Students Accounts; 3. To trace easily outline record of the currently enrolled students; 4. To automatically generate accurate reports; 5. To identify the room and teacher on its subject; 6. To lessen conflict that arises in making students class schedule; Scope and Limitation The researcher designed this study to the institution of Tagum Doctor’s College to serve the administration to have accurate processing during enrollment period. This study designed a client/server system that shall cover the process in the registrar’s office, Dean’s office and Cashier’s office. The System caters the following: a) The Student’s information must have encoded into the system to search easily, to give/provide a back-up files for the students. b) For the cashier, the system can compute the total assessment of the student including the miscellaneous fees etc. it also automatic deduct the payment of the student if they fully paid before the examination period and the remaining balance. c) The system can provide automatically a student class schedule. For the transferee and irregular student, the system can schedule their subjects. In addition, it can edit one-by-one the subject codes, time schedule if the student wants to change their schedule. d) Automatic generate the student’s number, receipt number and arrange the report what the user’s need. e) The system can also view the grades of the students. f) Can print out hard copy for the important means such as lists of students, subject codes, time schedule and the assigned teachers. Significance of the Study This proposed Computerized Enrollment System is relevant and beneficial to the college in away that the process in keeping data’s, cashiering and making reports becomes more consistent. In addition, it would be easier and would be lessen the workload of the involved offices. It would also help the school administration to manage and transact with other schools. The registrar’s office would handle the student assessment accurate. It also eases for the student’s transaction. Furthermore, the adoption of this system would provide data security which reliable on every transactions. The following persons can benefits this study: Cashier. These systems will the school cashier in computing the total  assessment of the students and other miscellaneous fees accurate and clear Dean. This system will help the Dean in keeping all the transactions regarding the student’s records, organized and manage all the transactions accurate and safety. Faculty. This system will help the faculty minimal their work load during enrollment period. It gives an easier way of identifying their assigned subject. Registrar. This system will help them in keeping the student’s records orderly and safely. School Administration. This system will help them to manage and organize the time schedule in handling the transaction. Student. This system will also help ease the students in updating their subjects available and other transactions easier and faster. It will also provide the students to view their grades. Review of Related Literature The Review of Related Literature represents the mention principles, ideas, concept, theories, facts and views regarding the relevant variables of aspects as gathered from different books scrutinized by the researchers and searched from the internet Today, the trend of technology speeding up very rapidly, automation was developing as a result advanced in the design of machine. Technology has affected society and its surroundings in a number of ways. In many societies, technology has helped develop more advanced economies including today’s global economy and has allowed the rise of a leisure class. Most early machine was design to operate under a specific set of condition, when this condition change manual adjustment was necessary to assure proper operation. This was not a major shortcoming, since the machines operated at relatively slow speeds. It was quickly recognized as valuable to assure efficiency and accuracy and manufacturing process. The term operation refers to a wide variety of system and processes that operate with little or no human intervention. In the most modern information system, control is exercise by the system itself through control devices that sense changes in such condition as temperature, rate of flow to make adjustment to compensate these changes. The development of digital computer, which can monitor external condition and make an appropriate adjustment to the system, added farther impetus to the application of automation. It trices to increase understanding of the ways  in which information is generated, stored made available, and used. In the practical sense it undertake specific action to try to improved the same function of information technology (Grolier Internal Encyclopedia Vol. 2, 1995) Automation plays an increasingly important role in the global economy and in daily experience. Engineers strive to combine automated devices with mathematical and organizational tools to create complex systems for a rapidly expanding range of applications and human activities. A computerized system will allow you to make better use of your time. Why spend time typing information into a document, when you could be hosting a job search workshop (www.truckwin32.com and www.Shippernet.com). The De la Salle University’s ITC Systems management Office designs, develops, implements and evaluates computer- based information systems as requested by the academic and administrative units to facilitate their operations. These information systems include their enrollment system, student’s information systems and accounting system for student’s assessments. The University desires to fully computerize its processes and integrated all its information systems that are evaluated annually. Its quality policy includes the list 99.9 percent availability of computing resources, at most customer satisfaction, prompt and positive response to customer’s requests, feedback on customer’s request (http:/www.disu.edu.ph/offices/itc/smo/default.asp). The Automated Enrollment System of Samar State University aims for an accurate, user friendly, efficient system that can help both the student and personnel for fast data processing of enrollment. Engr. Hediki Hashimoto, a Japanese volunteer headed the creation and conceptualization of the system. He was assisted by the information technology faculty from the College of Engineering and Arts and Sciences. The system, which is web, based, uses PHP programming language with data stored in MySQL is run through the intranet of SSU. A dry-run for this automated enrolment was done last summer and the first semester of this school year. Offices affected with the automation were the registrar, cashier, accounting, and the Colleges of Education, Engineering, Arts and Sciences, Industrial Technology, Nursing and Graduate Studies. Feedbacks from the students were formulated when the first semester started. Over 75 % of them says that the automation process of enrollment was better compared with the old system. With the good result of the dry-run  the automated enrolment system will be finally implemented this 2nd semester. Saint Louis University’s Computerized Program was envisioned by Father Ghesleen de Vos. He saw the importance of automating the academic systems particularly the accounting and registrar’s offices. His goal was to lessen the burden of handling tedious tasks that was brought about by the voluminous records processed every semester. In June 1969, Fr. De Vos’ vision became a reality with the acquisition of the IBM 1130 system. This gave birth the Saint Louis University International Business Machines Electronic Data Processing Office (http:/www.slu.edu.ph). Mapua Institute of Technology started its computerized operations in the collection of relevant student information in the 1960’s. During the 1997 University days of the Mapua Institute of Technology, the MIS office held a demonstration of a Windows-based prototype of an on-line enrollment system for the Deans and several Heads of Offices. The system, developed using Fox Pro for Windows, displayed various features for a faster enrolment. The first on-line enrollment system and student information system was developed and was tested on the summer of 1998 where all students gathered at the Burgos Gym for their enrollment (http:/do-it.mapua.edua.ph). Context Flow Diagram The Context Diagram also includes the people and other organizations which the system communicates. It also contains the data the system produces and the data that the system receives from the external entities. The entire system is placed on the process Recording and accessing, under which several processes make up the entire Computerized Enrollment System. Figure 1, are the external entities that send or receive information from the system are included in the Context Diagram. During enrollment, the students provide their necessary data for the system to process the transaction. The system activate by supplying the needed data that will comprise the student information, payment of enrollment fees and other charges. The student’s information given by the student to the Registrar’s Office that will be stored in the system. After the student paid his obligation and receive a receipt from the Cashier. The Registrar releases the class schedule of the students with the other student’s records to have a hard copy for them. The Dean will have the record of class list. Figure 1. The Context Flow Diagram of Computerized Enrollment System Definition of Terms The following term used in this study are defined conceptually for clarity and easy understanding of the concepts. Class list. The lists of the student every subject given by the Dean of College to the Faculties. Class Schedule. The form of the student with the room and time assignment, and total assessment of the student. Requesting Class list. The Dean’s has the authority to access on the system and to have a hard copy. Printed Student’s Record. The hardcopy records of the student kept by the Registrar. Printed Student’s Record. The hardcopy records of the student kept by the Registrar. Recording and Accessing. The automated system can kept the records, monitor, and compute the assessment of the student. Registration form. The form that need to filled up by the student to have a Student’s record to the Registrar’s Office. Student’s Accounts. The assessment of the student saved also on the system. Student ID number. This number assigned on the students to retrieve their profile and accounts. Student’s Record. The records of the student saved on the system.

Reflective Reflection - 1277 Words

Having arrived in Cambridge with a list of particular goals which I wanted to attain during my staying, I understood that it would be challenging to fulfill all my learning needs in such a short time, though now looking back at my initial plan, I see that in fact I have learnt and discovered much more than I expected. Therefore, my reflection essay is multifaceted and demonstrates all the aspects which I have developed and discovered for myself during the studying, such as knowledge, skills, understanding and attitudes. Initially, I wanted to develop my conceptual understanding of my topic, in terms of improving and shaping the literature review and modelling my conceptual framework (Phases of mentoring implementation and its focuses by†¦show more content†¦Furthermore, knowing how to present the literature was also an important discovery for me, as I understood that it could have been better if I organized the sources in the chronological order to demonstrate how the ideas were evolving throughout time. Apart from that, while working on my literature chapters, I learnt how to navigate the Cambridge Library database and how to use it properly, which greatly contributed to my ICT skills (Abbott Berninger, 1993), and I also visited University Library to find specific books for my study which also positively influenced the content of my literature review. Another important discovery for me and my thesis in terms of metacognitive knowledge (Wilson, 2016) was Toulmin’s (2003) theory of a rgumentation (the six components: claim, evidence, warrant, qualifier, backing grounds), which explicitly elucidates how you should approach arguments and claims in your writing and develop your ideas in a smooth manner, avoiding jumping to conclusions. So, I noticed that before I did not construct my arguments accordingly and that caused stylistic ambiguity and confusion at times. However, now I know that prior to claiming something it is better to prepare your claim properly: you should not only use the supportive evidence, but also not skip some warrants in your writing. This strategy will help theShow MoreRelatedReflective Reflection On Reflective Practice2289 Words   |  10 PagesReflection is considered as a state of mind which is a continuous practice (Fanghanel, 2004, p. 576). 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