Developing design process model and measuring acceptance of polytechnic cooperative e-retail website

Research on the process model of e-retail web design using Content Management System (CMS) remains scarce. CMS is one way of developing website quickly, with less cost and usage of IT expertise. Researchers mostly focus on identifying the significant relationship towards particular website especiall...

Full description

Saved in:
Bibliographic Details
Main Author: Rashdan, Rashid
Format: Thesis
Language:eng
eng
Published: 2015
Subjects:
Online Access:https://etd.uum.edu.my/5735/1/s93466_01.pdf
https://etd.uum.edu.my/5735/2/s93466_02.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-uum-etd.5735
record_format uketd_dc
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
advisor Hassan, Shahizan
topic T58.6-58.62 Management information systems
TK5015.888 Web sites
spellingShingle T58.6-58.62 Management information systems
TK5015.888 Web sites
Rashdan, Rashid
Developing design process model and measuring acceptance of polytechnic cooperative e-retail website
description Research on the process model of e-retail web design using Content Management System (CMS) remains scarce. CMS is one way of developing website quickly, with less cost and usage of IT expertise. Researchers mostly focus on identifying the significant relationship towards particular website especially on web design and suggest for practical implementation. Previous studies on web development are on the architecture of CMS while the use of CMS attracts little interest among researchers. Only a number of researchers concentrate on the process development of e-retail website especially using CMS. To fill the practical gap, this research proposed a process model of e-retail website through SDLC and extended the model with the introduction of internet marketing. It was tested in the development of a e-retail website. Each stage is discussed in details along the way of the web development. After the website was successfully developed, this research examined the acceptance of e-retail website by measuring consumers’ behavioural intention and actual usage using Unified Theory of Acceptance and Use of Technology (UTAUT). In addressing the theoretical gap, this research provides an empirical test of three forms of self-efficacy (Computer Self-efficacy, Internet Self-efficacy, and Online Shopping Self-efficacy) and anxiety (Computer Anxiety, Internet Anxiety, and Online Shopping Anxiety) towards behavioural intention to shop online. The research subjects were 91,830 polytechnic students from 33 polytechnics in Malaysia. A total of 357 fulltime polytechnic students from five polytechnics in Malaysia have been involved in this research. From a list of students’ name, self-administered survey questionnaires were distributed at response rate of 77.8%. Correlation and Multiple Regression were used to test the significant relationship while Hierarchical Regression was used to test the moderator of gender. The research reveals that Performance Expectancy, Social Influence, Facilitating Condition and Online shopping Self-Efficacy are found to have significant effect on students Behavioural Intention to use polytechnic co-operative eretail business. E-retailer needs to encourage the potential customer to make on-line purchasing because it is no longer a norm against the use of the Internet and computer. The process model is readily transferable to another website so that it describes as sufficient for use. The future research shall apply the extended UTAUT in different subject (adult) and the process model shall extend until the Return on Investment (ROI).
format Thesis
qualification_name Ph.D.
qualification_level Doctorate
author Rashdan, Rashid
author_facet Rashdan, Rashid
author_sort Rashdan, Rashid
title Developing design process model and measuring acceptance of polytechnic cooperative e-retail website
title_short Developing design process model and measuring acceptance of polytechnic cooperative e-retail website
title_full Developing design process model and measuring acceptance of polytechnic cooperative e-retail website
title_fullStr Developing design process model and measuring acceptance of polytechnic cooperative e-retail website
title_full_unstemmed Developing design process model and measuring acceptance of polytechnic cooperative e-retail website
title_sort developing design process model and measuring acceptance of polytechnic cooperative e-retail website
granting_institution Universiti Utara Malaysia
granting_department Othman Yeop Abdullah Graduate School of Business
publishDate 2015
url https://etd.uum.edu.my/5735/1/s93466_01.pdf
https://etd.uum.edu.my/5735/2/s93466_02.pdf
_version_ 1747827972306370560
spelling my-uum-etd.57352021-04-05T01:02:45Z Developing design process model and measuring acceptance of polytechnic cooperative e-retail website 2015 Rashdan, Rashid Hassan, Shahizan Othman Yeop Abdullah Graduate School of Business Othman Yeop Abdullah Graduate School of Business T58.6-58.62 Management information systems TK5015.888 Web sites Research on the process model of e-retail web design using Content Management System (CMS) remains scarce. CMS is one way of developing website quickly, with less cost and usage of IT expertise. Researchers mostly focus on identifying the significant relationship towards particular website especially on web design and suggest for practical implementation. Previous studies on web development are on the architecture of CMS while the use of CMS attracts little interest among researchers. Only a number of researchers concentrate on the process development of e-retail website especially using CMS. To fill the practical gap, this research proposed a process model of e-retail website through SDLC and extended the model with the introduction of internet marketing. It was tested in the development of a e-retail website. Each stage is discussed in details along the way of the web development. After the website was successfully developed, this research examined the acceptance of e-retail website by measuring consumers’ behavioural intention and actual usage using Unified Theory of Acceptance and Use of Technology (UTAUT). In addressing the theoretical gap, this research provides an empirical test of three forms of self-efficacy (Computer Self-efficacy, Internet Self-efficacy, and Online Shopping Self-efficacy) and anxiety (Computer Anxiety, Internet Anxiety, and Online Shopping Anxiety) towards behavioural intention to shop online. The research subjects were 91,830 polytechnic students from 33 polytechnics in Malaysia. A total of 357 fulltime polytechnic students from five polytechnics in Malaysia have been involved in this research. From a list of students’ name, self-administered survey questionnaires were distributed at response rate of 77.8%. Correlation and Multiple Regression were used to test the significant relationship while Hierarchical Regression was used to test the moderator of gender. The research reveals that Performance Expectancy, Social Influence, Facilitating Condition and Online shopping Self-Efficacy are found to have significant effect on students Behavioural Intention to use polytechnic co-operative eretail business. E-retailer needs to encourage the potential customer to make on-line purchasing because it is no longer a norm against the use of the Internet and computer. The process model is readily transferable to another website so that it describes as sufficient for use. The future research shall apply the extended UTAUT in different subject (adult) and the process model shall extend until the Return on Investment (ROI). 2015 Thesis https://etd.uum.edu.my/5735/ https://etd.uum.edu.my/5735/1/s93466_01.pdf text eng public https://etd.uum.edu.my/5735/2/s93466_02.pdf text eng public Ph.D. doctoral Universiti Utara Malaysia Abdulhameed Rakan, A., Abdul Malik, A. K., & Arsaythamby, V. (2010).An empirical investigation into the role of enjoyment, computer anxiety, computer self efficacy and internet experience in influencing the studentd’ intention to use e-learning: A case study from Saudi Arabian government universities. The Turkish Online Journal of Education Technology, 9(4), 22–34. Abels, E. G., White, M. D., & Hahn, K. (1999). A user based design process for web sites. OCLC Systems and Services, 15(1), 35–44. Abendroth, L. J. (2011). The souvenir purchase decision: effects of online availability. International Journal of Culture, Tourism and Hospitality Research, 5(2), 173–183. doi:10.1108/17506181111139582 Adapa, S. (2008). Adoption of internet shopping: Cultural considerations in India and Australia. Journal of Internet Banking and Commerce, 13(2), 1–17. Agarwal, R., & Karahanna, E. (2000). Time flies when you’re having fun: Cognitive absorption and beliefs about information technology usage. MIS Quartely, 24(4), 665–694. Ahmad, N., Tarek Amer, N., Qutaifan, F., & Alhilali, A. (2013). Technology adoption model and a road map to successful implementation of ITIL. Journal of Enterprise Information Management, 26(5), 553–576. doi:10.1108/JEIM-07-2013-0041 Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211. Alberta Community and Co-operative Association. (2012). What is Co-operative. Retrieved from http://acca.coop/co-op-resources/what-is-a-co-operative/ Alekseev, N. ., & Bondarenko, V. . (2009). Comparative analysis of web-site content management systems. In 19th Int.Crimean Conference "Microwave & Telecommunication Technology (pp. 369–371). Sevastopol, Crimea. Alexander, R. R. (1982). Participant Observation, Ethnography, and Their Use in Educational Evaluation: A Review of Selected Works. In Studies in Art Education (pp. 63–69). National Art Education Association. doi:10.2307/1319805 AlGhamdi, R., Drew, S., & AlGhaith, W. (2011). Factors influencing e-commerce adoption by retailers in Saudi Arabia:A Qualitative analysis. The Electronic Journal on Information Systems in Developing Countries, 47(7), 1–23. Alkhunaizan, A., & Love, S. (2012). What drives mobile commerce? An empirical evaluation of the revised UTAUT model. International Journal of …, 2(1), 82–99. Retrieved from http://marcomacademy.co.uk/ijmma/What-drives-mobilecommerce-An-empirical-evaluation-of-the-revised-UTAUT-model.pdf Al-Qeisi, K., Dennis, C., Alamanos, E., & Jayawardhena, C. (2014). Website design quality and usage behavior: Unified Theory of Acceptance and Use of Technology. Journal of Business Research, 67(11), 2282–2290. doi:10.1016/j.jbusres.2014.06.016 American Marketing Association. (n.d.). Dictonary of Marketing Terms. Amoroso, D. ., & Hunsinger, D. S. (2009). Understanding consumers’ acceptance of online purchasing. Journal of Information Technology Management, 20(1), 15–41. Andersone, I., & Gaile-sarkane, E. (2008). Influence of factors on consumer behavior. In 5th International Scientific Conference Business and Management (pp. 331–337). Vilnius. Atilgan-Inan, E., & Karaca, B. (2011). Planned behaviour of young consumers shopping on the internet. European Journal of Social Sciences, 19(4), 528–537. Aulia, F., & Dhewanto, W. (2014). Formulation of E-Commerce Website Development Plan Using Multidimensional Approach for Web Evaluation. Procedia - Social and Behavioral Sciences, 115(Iicies 2013), 361–372. doi:10.1016/j.sbspro.2014.02.442 Awad, E. M. (2006). Electronic commerce from vision to fulfillment (3rd ed.). Pearson Prentice Hall. Azmah, O., & Fatimah, K. (2008). Enhancing co-operative movement to archive Malaysia’s development goals. In The Role of Co-operatives in Sustaining Development and Fostering Social Responsibility (pp. 1–39). Bailey, A. A. (2005). Consumer awareness and use of product review websites. Journal of Interactive Advertising, 6(1), 68–81. Ballantine, P. W. (2005).Effects of interactivity and product information on consumer satisfaction in an online retail setting. International Journal of Retail & Distribution Management, 33(6), 461–471. doi:10.1108/09590550510600870 Balzer, R., Egyed, A., Goldman, N., Hollebeek, T., Tallis, M., Wile, D., & Rey, M. Del. (2007). Adapting COTS applications : An experience report. In Second International Workshop on Incorporating COTS Software into Software Syatems: Tools and Technique. Bamasoud, D. M. S. (2010). E commerce guidelines for teen shoppers. University Teknology Malaysia. Bandura, A. (1997). Self-Efficacy: The Excercise of Control. New York: W.H Freeman. Bandura, A. (2006). Guide for constructing self-efficacy scales. In Self-Efficacy Beliefs of Adolescents (pp. 307–337). Information Age Publishing. Baron, R. M., & Kenny, D. a. (1986). The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–82. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/ 3806354 Battleson, B., Booth, A., & Weintrop, J. (2001). Usability testing of an academic library Web site: a case study. The Journal of Academic Librarianship, 27(3), 188–198. doi:10.1016/S0099-1333(01)00180-X Belkhamza, Z., & Azizi Wafa, S. (2014). The role of uncertainty avoidance on ecommerce acceptance across cultures. International Business Research, 7(5), 166–173. doi:10.5539/ibr.v7n5p166 Benzing, M. (2006). Luwak: a content management solution. Library Hi Tech, 24(1), 8–13. doi:10.1108/07378830610652077 Bergvall-kåreborn, B., & Stahlbrost, A. (2008). Participatory Design – One Step Back or Two Steps Forward ? In PDC’ 08: Proceedings of the Tenth Anniversary Conference on Participatory Design 2008 (pp. 102–111). Indiana University. Bonera, M. (2011). The propensity of e-commerce usage: the influencing variables. Management Research Review, 34(7), 821–837. doi:10.1108/01409171111146706 Brandt, E. (2006). Designing Exploratory Design Games : A Framework for Participation in Participatory Design ? In PDC 2006 - Proceedings of the ninth Participatory Design Conference 2006 Designing (pp. 57–66). Trento. Brannen, J. (1992). Combining qualitative and quantitative approavhes: an overview. In Mixing Methods: Qualitative and Quantitative Research (pp. 1–37). Avebury. Broekhuizen, T., & Huizingh, E. K. R. E. (2009). Online purchase determinants: Is their effect moderated by direct experience? Management Research News, 32(5), 440–457. doi:10.1108/01409170910952949 Brown, S., Massey, A., Montoya-Weiss, M., & Burkman, J. (2007). Do I really have to? User acceptance of mandate technology. European Journal of Information Systems, 11, 283–295. Burke, R. . (2002). Technology and the customer interface: What consumers want in the physical and vitual store. Journal of the Academy of Marketing Science, 30(4), 411–432. Butler, T., & Eireann, T. (1997). A case study of user participation in the information systems development process. In ICIS ’97: Proceedings of the eighteenth international conference on Information systems (pp. 411–426). Association for Information Systems. Cao, M., Zhang, Q., & Seydel, J. (2005). B2C e-commerce web site quality: an empirical examination. Industrial Management & Data Systems, 105(5), 645–661. doi:10.1108/02635570510600000 Celik, H. (2011). Influence of social norms, perceived playfulness and online shopping anxiety on customers’ adoption of online retail shopping: An empirical study in the Turkish context. International Journal of Retail & Distribution Management, 39(6), 390–413. doi:10.1108/09590551111137967 Celik, H., & Yilmaz, V. (2011). Extending the technology acceptance model for adoption of e-shopping by consumers in Turkey. Journal of Electronic Commerce Research, 12(2), 152–165. Center for Retail Research. (2012). Online Retailing: Britain and Europe 2012. Retrieved from http://www.retailresearch.org/ onlineretailing.php Cervone, H. F. (2008). Developing the business case for a digital library project. OCLC Systems & Services, 24(1), 18–21. doi:10.1108/10650750810847206 Cha, J. (2011). Exploring the internet as a unique shopping channel to sell both real and virtual items: A comparision of factors affecting purchase intention and consumer characteristics. Journal of Electronic Commerce Research, 12(2), 115–132. Cheek, G., Shehab, M., Ung, T., & Williams, E. (2011). iLayer: Toward an Application Access Control Framework for Content Management Systems. 2011 IEEE International Symposium on Policies for Distributed Systems and Networks, 65–72. doi:10.1109/POLICY.2011.28 Chen, C.-W. D., & Cheng, C.-Y. J. (2009). Understanding consumer intention in online shopping: a respecification and validation of the DeLone and McLean model. Behaviour & Information Technology, 28(4), 335–345. doi:10.1080/01449290701850111 Chiou, J.-S. (1998). The effects of attitude, subjective norm, and perceived behavioral control on consumers’ purchase intentions : The moderating effects of product knowledge and attention to social comparison information. In Proceedings National Science Counc (ROC) (Vol. 9, pp. 298–308). Chiu, Y.-B., Lin, C.-P., & Tang, L.-L. (2005). Gender differs: assessing a model of online purchase intentions in e-tail service. International Journal of Service Industry Management, 16(5), 416–435. doi:10.1108/09564230510625741 Choon Ling, K., Dazmin, D., Hoi Piew, T., Keoy, K. H., & Hassan, P. (2011). Perceived risk, perceived technology, online trust for the online purchase intention in Malaysia. International Journal of Business and Management, 6(6), 167–183. doi:10.5539/ijbm.v6n6p167 Choon Ling, K., Hoi Piew, T., & Teck-Chai, L. (2010). Investigating the shopping orientations on online purchase intention in the e-commerce environment: A Malaysian study. Journal of Internet Banking and Commerce, 15(2), 1–22. Chung, S. Y., & Park, C. (2009). Online shopping behavior model : A literature review and proposed model. In ICACT 2009 (Vol. 2008, pp. 2276–2282). Cloniger, S. (2008). Theories of Personality Understanding Persons (5th ed.). New Jersy: Pearson Prentice Hall. Close, A. G., Kukar-kinney, M., & Benusa, T. K. (2012). Towards a Theory of Consumer Electronic Shopping Cart Behavior: Motivations of E-Cart Use and Abandonment. Online Consumer Behaviour: Theory and Research in Social Media, Advertising and E-Tail, 1–32. Retrieved from http://ssrn.com/abstract=1986310 Cody-Allen, E., & Kishore, R. (2006). An extension of the UTAUT model with equality, trust, and satisfaction constructs. In Proceedings of the 2006 ACM SIGMIS CPR conference on computer personnel research Forty four years of computer personnel research: achievements, challenges & the future - SIGMIS CPR ’06 (p. 82). New York, New York, USA: ACM Press. doi:10.1145/1125170.1125196 Cohen, J. (1998). Statistical power analysis for the behavioral sciences. New Jersey: Lawrence Erlbaum. Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2013). Applied multiple regression/correlation analysis for the behavioral sciences. (3rd ed.). Routledge. Retrieved from https://books.google.com.my/books?id=gkalyqTMXNEC&lpg=PP1&ots=tQFPZ4t8gh&dq=can correlation analysis nominal datagender&lr&pg=PP1#v=onepage&q= can correlation analysis nominal datagender&f= false Creswell, J. W. (1994). Research Design Qualitative & Quantitative Approaches. SAGE Publications. Creswell, J. W., & Miller, D. L. (2000). Determining validity in qualitative inquiry. Theory into Practice, 39(3), 124–131. Cunliffe, D. (2000). Developing usable web sites - a review and model. Internet Research: Electronic Networking Applications and Policy, 10(4), 295–307. Dasar Koperasi Negara 2011-2020. (2010) (1st ed.). Suruhanjaya Koperasi Malaysia. Davies, K., & Burt, S. (2007). Consumer co-operatives and retail internationalisation: problems and prospects. International Journal of Retail & Distribution Management, 35(2), 156–177. doi:10.1108/09590550710728101 Davis, F. D. (1989). Perceived usefulness, perceived ease of use and end user acceptance of information technology. MIS Quartely, 13(3), 319–340. Delafrooz, N., Laily, H. P., & Khatibi, A. (2010). Students’ online shopping behavior : An empirical study. Journal of American Science, 6(1), 137–147. Delafrooz, N., Paim, L. H. J., & Khatibi, A. (2011a). A research modeling to understand online shopping intention. Australian Journal of Basic and Applied Sciences, 5(5), 70–77. Delafrooz, N., Paim, L. H., & Khatibi, A. (2011b). Understanding consumers’ internet purchase intention in Malaysia. African Journal of Business Management, 5(3), 2837–2846. DeLone, W. H., & McLean, E. R. (1992). Information systems success: the quest for the dependent variable. Information Systems Research, 3, 60–65. Delone, W. H., & Mclean, E. R. (2002). Information systems success revisited. In Proceedings of the 35th Hawaii International Conference on System Sciences (Vol. 00, pp. 1–11). Hawai. Delone, W. H., & Mclean, E. R. (2003). The DeLone and McLean model of information systems success : A ten-year update. Journal of Management Information Systems, 19(4), 9–30. Dennis, C., Merrilees, B., Jayawardhena, C., & Wright, L. T. (2009). E-consumer behaviour. European Journal of Marketing, 43(9/10), 1121–1139. doi:10.1108/03090560910976393 Dholakia, R. R., & Zhao, M. (2008). Retail web site interactivity: How does it influence customer satisfaction and behavioral intentions? International Journal of Retail & Distribution Management, 37(10), 821–838. doi:10.1108/09590550910988011 Di Domenico, M., & Phillips, N. (2010). Participant Observation. In A. J. Mills, G. Durepos, & E. Wiebe (Eds.), Encyclopedia of Case Study Research (pp. 653–656). Thousand Oaks: SAGE Publications. doi: http://dx.doi.org/10.4135/9781412957397.n244 Dillman, A. . (2003). Selecting a software development life Cycle (SDLC) methodology: A practical decision framework to maximize business value. Project Management Solutions, Inc & Park Hill Technology LLC, 1–12. Distante, D., Risi, M., & Scanniello, G. (2014). Enhancing Navigability in Websites Built Using Web Content Management Systems. International Journal of Software Engineering and Knowledge Engineering, 24(03), 493–515. doi:10.1142/S0218194014500193 Doherty, N. F., & Ellis-Chadwick, F. (2009). Exploring the drivers, scope and perceived success of e-commerce strategies in the UK retail sector. European Journal of Marketing, 43(9/10), 1246–1262. doi:10.1108/03090560910976474 Du, J. (2005). A tentative study on the model of the campus e-commerce. In Proceedings of the 7th international conference on Electronic commerce (pp. 790–792). ACM. doi:10.1145/1089551.1089699 Durndell, A., & Haag, Z. (2002). Computer self efficacy, computer anxiety, attitudes towards the Internet and reported experience with the Internet, by gender, in an East European sample. Computers in Human Behavior, 18(5), 521–535. doi:10.1016/S0747-5632(02)00006-7 Economic Transformation Programme: A Roadmap For Malaysia. (2010). Retrieved from http://etp.pemandu.gov.my/upload/etp_handbook_ chapter_8_wholesale_and_retail.pdf Eisenhardt, M. (1989). Building theories from case study research. The Academy Of Management Review, 14(4), 532–550. Ellis, R. D., & Kurniawan, S. H. (2000). Increasing the usability of online information for older users: A case study in participatory design. International Journal of Human-Computer Interaction, 12(2), 263–276. Enterprise IT News. (2012). Malaysian Shoppers Skipped the Queues to shop online and on their mobile devices this festive season. Retrieved from http://www.enterpriseitnews.com.my/component/k2/ item/528-malaysianshoppers-skipped-the-queues-to- shop-online-and-on-their-mobile-devices-this festive-season.html Escobar-Rodríguez, T., & Carvajal-Trujillo, E. (2014). Online purchasing tickets for low cost carriers: An application of the unified theory of acceptance and use of technology (UTAUT) model. Tourism Management, 43, 70–88. doi:10.1016/j.tourman.2014.01.017 Evans, P. (2014). Malaysia becomes a regional leader with its nationwide broadband network. Retrieved from http://www.budde.com.au/Research/ Malaysia-Telecoms-Mobile-Broadband-and- Forecasts.html Ezlika, G., Adam, D. M., & Nurul Azlinawatee, M. (2006). Attitude towards online purchase of fish in urban Malaysia : An ethnic comparison. Journal of Food Products Marketing, 12(4), 109–128. doi:10.1300/J038v12n04 Fagan, M. H., Neill, S., & Wooldridge, B. R. (2004). An empirical investigation into the relationship between computer self-efficacy, anxiety, experience, support and usage. Journal of Computer Information Systems, 95–105. Fan, Y., & Miao, Y. (2012). Effect of electronic word of mouth on consumer purchase intention: The perspective of gender differences. International Journal of Electronic Business Management, 10(3), 175–181. Fang, X., & Salvendy, G. (2003). Customer-Centered Rules for Design of ECommerce Web Sites Xiaowen Fang and Gavriel Salvendy. Communication of the ACM, 46(12), 332–336. Faqih, K. M. S. (2013). Exploring the influence of perceived risk and internet self-efficacy on consumer online shopping intentions : Perspective of technology acceptance model. International Management Review, 9(1), 67–78. Fenech, T., & O’Cass, A. (2001). Internet users’ adoption of Web retailing: user and product dimensions. Journal of Product & Brand Management, 10(6), 361–381. doi:10.1108/EUM0000000006207 Field, A. (2009). Discovering Statistics Using SPSS (3rd ed.). SAGE Publications. Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior. Reading, MA: Addison-Wesley. Fogg, B. J., Marshall, J., Laraki, O., Osipovich, A., Varma, C., Fang, N., … Hall, C. (2001). What Makes Web Sites Credible? A Report on a Large Quantitative Study. Freeman, M., & Freeman, A. (2011). Online grocery systems design through task analysis. Journal of Enterprise Information Management, 24(5), 440–454. doi:10.1108/17410391111166512 Furnham, A. (1992). Personality at work: The role of individual differences in the workplace. London: Mackays of Chatnam. Fusilier, M., & Durlabhji, S. (2005). An exploration of student internet use in India: the technology acceptance model and the theory of planned behaviour. Campus-Wide Information Systems, 22(4), 233–246. doi:10.1108/10650740510617539 Gbenga, J. . (2010). Acceptability Factors of Iris-Based Authentication Approach among Nigerian Users of Automated Teller Machine. Universiti Utara Malaysia. Genuardi, P. (2004). User Adoption of Information Technology:Implication for Application Development Research. Georgetown University, USA. Glaser, J. M. (1996). The Challenge of Campaign Watching : Seven Lessons of Participant-Observation. In PS:Political Science and Politics (Vol. 29, pp. 533–537). American Political Science Association. Goi, C. L. (2007a). A review of existing web site models for e-commerce. Journal of Internet Banking and Commerce, 12(1), 1–17. Goi, C. L. (2007b). Correlation between Internet and ICT, Web Site Development, and Internet Marketing: Perception of Marketers in Malaysia and Singapore. Journal of Internet Banking and Commerce, 12(2). Golafshani, N. (2003). Understanding reliability and validity in qualitative research. The Qualitative Report, 8(4), 597–606. Gong, W., & Maddox, L. (2011). Online Buying Decisions in China. The Journal of American Academy of Business, 17(September), 43–51. Gong, Y. H., & Zhu, C. (2009). Design and implementation of electronic commerce website. In 2009 ISECS International Colloquium on Computing, Communication, Control, and Management (pp. 278–281). Ieee. doi:10.1109/CCCM.2009.5270433 Gopi, M., & Ramayah, T. (2007). Applicability of theory of planned behavior in predicting intention to trade online: Some evidence from a developing country. International Journal of Emerging Markets, 2(4), 348–360. doi:10.1108/17468800710824509 Ha, S., & Stoel, L. (2009). Consumer e-shopping acceptance: Antecedents in a technology acceptance model. Journal of Business Research, 62(5), 565–571. doi:10.1016/j.jbusres.2008.06.016 Ha, Y., & Lennon, S. J. (2010). Effects of site design on consumer emotions: role of product involvement. Journal of Research in Interactive Marketing, 4(2), 80–96. doi:10.1108/17505931011051641 Haag, S., Cummings, M., & Rea, J. A. I. (2004). Computing Concepts (2nd ed.). McGraw Hill. Hair, J. ., Black, W. ., Babin, B. ., & Anderson, R. . (2010). Multivariate data analysis: A global perspective (7th ed.). New Jersey: Pearson Prentice Hall. Hameed, M. A., & Counsell, S. (2014). User Acceptance Determinants of Information Technology Innovation in Organizations. International Journal of Innovation and Technology Management, 11(05), 1450033. doi:10.1142/S0219877014500333 Han, Q., Yang, R., & Du, M. (2009). A study of computer anxiety among chinese students majoring in information technology. In 2009 International Conference on Computational Intelligence and Software Engineering (pp. 1–4). Ieee. doi:10.1109/CISE.2009.5366804 Han, Y. (2004). Digital content management : the search for a content management. Library Hi Tech, 22(4), 355–365. doi:10.1108/07378830410570467 Hansen, T. (2008). Consumer values, the theory of planned behaviour and online grocery shopping. International Journal of Consumer Studies, 32(2), 128–137. doi:10.1111/j.1470-6431.2007.00655.x Haque, A., Sadeghzadeh, J., & Khatibi, A. (2006). Identifying potentiality online sales in Malaysia: A study on customer relationships online shopping. Journal of Applied Business Research, 22(4), 119–130. Hasan, L., Morris, A., & Probets, S. (2013). E-commerce websites for developing countries – a usability evaluation. Online Information Review, 37(2), 231–152. Hasina, M., Md. Aminul, I., Ku Halim, K. A., & Anayet, K. (2011). Customers satisfaction on online shopping in Malaysia. International Journal of Business and Management, 6(10), 162–169. doi:10.5539/ijbm.v6n10p162 Hassanein, K., & Head, M. (2007). Manipulating perceived social presence through the web interface and its impact on attitude towards online shopping. International Journal of Human-Computer Studies, 65(8), 689–708. doi:10.1016/j.ijhcs.2006.11.018 Hausman, A. V., & Siekpe, J. S. (2009). The effect of web interface features on consumer online purchase intentions. Journal of Business Research, 62(1), 5–13. doi:10.1016/j.jbusres.2008.01.018 Hernandez, B., Jimenez, J., & Martin, M. J. (2008). Differences between potential, new and experienced e-customers: Analysis of e-purchasing behaviour. Internet Research, 18(3), 248–265. Hernandez, B., Jimenez, J., & Martín, M. J. (2009). Adoption vs acceptance of ecommerce: two different decisions. European Journal of Marketing, 43(9/10), 1232–1245. doi:10.1108/03090560910976465 Hernandez, B., Jimenez, J., & Martín, M. J. (2011). Age, gender and income: do they really moderate online shopping behaviour? Online Information Review, 35(1), 113–133. doi:10.1108/14684521111113614 Hevner, A. R., March, S. T., Park, J., & Ram, S. (2004). Design science in information system research. MIS Quarterly, 28(1), 75–105. Hill, W. W., & Beatty, S. E. (2011). A model of adolescents’ online consumer selfefficacy (OCSE). Journal of Business Research, 64(10), 1025–1033. doi:10.1016/j.jbusres.2010.11.008 Hocko, J. (2011). User centered design in procured software implementations. Journal of Usability Studies, 6(2), 60–74. Hornby, A. . (2000). Oxford Advanced Learner’s Dictionary. (S. Wehmeier, Ed.) (6th ed.). Oxford University Press. Hsu, M.-H., & Chiu, C.-M. (2004). Internet self-efficacy and electronic service acceptance. Decision Support Systems, 38(3), 369–381. doi:10.1016/j.dss.2003.08.001 Huang, Y., & Oppewal, H. (2006). Why consumers hesitate to shop online: An experimental choice analysis of grocery shopping and the role of delivery fees. International Journal of Retail & Distribution Management, 34(4/5), 334–353. doi:10.1108/09590550610660260 Husnayati, H., Rafidah, M. N., & Mohd Adam, S. (2008). Perceived attributes of ecommerce and the adoption decision : The case of Malaysian SMEs. Jurnal Teknologi Maklumat & Mulitmedia, 5, 107–125. Iacono, J., Brown, A., & Holtham, C. (2009). Research methods – A case example of participant observation. The Electronic Journal of Business Research Methods, 7(1), 39–46. Iacono, J. C., Brown, A., & Holtham, C. (2011). The use of the case study method in theory testing : The Example of steel eMarketplaces. The Electronic Journal of Business Research Methods, 9(1), 57–65. Im, H., & Ha, Y. (2011). The effect of perceptual fluency and enduring involvement on situational involvement in an online apparel shopping context. Journal of Fashion Marketing and Management, 15(3), 345–362. doi:10.1108/13612021111151923 Im, I., Hong, S., & Kang, M. S. (2011). An international comparison of technology adoption. Information & Management, 48(1), 1–8. doi:10.1016/j.im.2010.09.001 International Co-Operative Alliance (ICA). (2012). Co-operative Definition. Retrieved from http://www.aciamericas.coop/Co-operative-Definition Irfan, K. (2015). Nota jutawan nota perniagan internet. Selangor: Telaga Biru Sdn. Bhd. Islam, N. (2011). Understanding continued usage intention in e-learning context. In 24th Bled eConference efuture:Creating Solutions for the Individual, Organisations and Society (pp. 546–557). Bled, Slovenia. Jabatan Pengajian Politeknik. (2012). Informasi Politeknik Jabatan Pengajian Politeknik. Jaimangal-Jones, D. (2014). Utilising ethnography and participant observation in festival and event research. International Journal of Event and Festival Management, 5(1), 39–55. doi:10.1108/IJEFM-09-2012-0030 James, L. R., & Brett, J. M. (1984). Mediators, Moderators, and Tests for Mediation. Journal of Applied Pschology, 69(2), 307–321. Jariah, M., Husniyah, A. R., Laily, P., & Britt, S. (2004). Financial behavior and problems among university students: Need for financial education. Journal of Personal Finance, 3(1), 82–96. Jayawardhena, C., Wright, L. T., & Dennis, C. (2007). Consumers online: intentions, orientations and segmentation. International Journal of Retail & Distribution Management, 35(6), 515–526. doi:10.1108/09590550710750377 Johnson, M. (2008). A new approach to Internet banking. Cambridge. Jorgensen, D. L. (1989). Participant Observation. In D. L. Jorgensen (Ed.), Participant Observation (pp. 12–26). Thousand Oaks: SAGE Publications. Junaini, N. ., & Sidi, J. (2007). Customer-centered design approach to improve ecommerce web site usability. In Unimas Research Symposium (URS 2007) (pp. 147–154). Retrieved from myais.fsktm.um.edu.my/3073/1/urs_full_paper.pdf Kappel, G., Proll, B., Reich, S., & Retschitzegger, W. (2003). Web Engineering: The Discipline of Systemativ Development of Web Applications. Heidelberg: John Wiley & Sons Limited. Kauffman, R. J., & Walden, E. A. (2001). Economics and electronic commerce : Survey and directions for research. International Journal of Electronic Commerce, 5(4), 5–116. Keisidou, E., Sarigiannidis, L., & Maditinos, D. (2011). Consumer characteristics and their effect on accepting online shopping, in the context of different product types. Int. Journal of Business Science and Applied Management, 6(2), 31–51. Keong, M. L., Ramayah, T., Kurnia, S., & Chiun, L. M. (2012). Explaining intention to use an enterprise resource planning (ERP) system: an extension of the UTAUT model. Business Strategy Series, 13(4), 173–180. doi:10.1108/17515631211246249 Khairina, R., Yeow, P., & Siew, E.-G. (2012). Factors influencing audit technology acceptance by audit firms: A new I-TOE adoption framework. Journal of Accounting and Auditing: Research & Practice, 2012, 1–11. doi:10.5171/2012.876814 Khatibi, A., Haque, A., & Khaizurah, K. (2006). E-commerce: A study on internet shopping in Malaysia. Journal of Applied Sciences, 6(3), 696–705. Khechine, H., Lakhal, S., Pascot, D., & Bytha, A. (2014). UTAUT model for blended learning : The role of gender and age in the intention to use webinars. Interdisciplinary Journal of E-Learning and Learning Objects, 10, 33–52. Kiatruangkrai, P., Phusayangkul, P., Viniyakul, S., Prompoon, N., & Kanongchaiyos, P. (2010). Design and Development of Real-Time Communication Content Management System for E-Commerce. In 2010 Second International Symposium on Data, Privacy, and E-Commerce (pp. 111–116). Ieee. doi:10.1109/ISDPE.2010.24 Kim, J., & Forsythe, S. (2010). Adoption of dynamic product imagery for online shopping: does age matter? The International Review of Retail, Distribution and Consumer Research, 20(4), 449–467. doi:10.1080/09593969.2010.504011 Kirtis, a. K., & Karahan, F. (2011). To be or not to be in social media arena as the most cost-efficient marketing strategy after the global recession. Procedia - Social and Behavioral Sciences, 24, 260–268. doi:10.1016/j.sbspro.2011.09.083 Kobach, M. (2014). 10 Facebook Rules Every Business Needs to Know Before Posting. Retrieved from http://socialmediatoday.com/matthewkobach/ 2367336/facebook-cheat-sheet-10-facebook-rules-every-business-needsknow-posting-infographic Kotler, P., & Armstrong, G. (2010). Principles of Marketing (13th ed.). New Jersey: Pearson. Krejcie, R. V, & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30, 607–610. Kurt, N., Savaş, B., Günay, G., & Çeştepe, H. (2014). Consumers Perceived Online Purchasing. Academic Journal of Interdisciplinary Studies, 3(3), 185–192. doi:10.5901/ajis.2014.v3n3p185 Küster, I., & Vila, N. (2011). Successful SME web design through consumer focus groups. International Journal of Quality & Reliability Management, 28(2), 132–154. doi:10.1108/02656711111101728 Kyrnin, J. (2013). What is the difference between web design and web development. Retrieved from http://webdesign.about.com/od/jobs/qt/difference-web-designweb-development.htm Laporan Mesyuarat Agung Tahunan kali ke 7. (2011). Laudon, K. C., & Traver, C. G. (2007). E-commerce (3rd ed.). Pearson Prentice Hall. Laudron, K. C., & Traver, C. G. (2008). E-Commerce Business Technology. Pearson Prentice Hall. Lee, J., Park, D.-H., & Han, I. (2011). The different effects of online consumer reviews on consumers’ purchase intentions depending on trust in online shopping malls: An advertising perspective. Internet Research, 21(2), 187–206. doi:10.1108/10662241111123766 Lee, M. K. O., Shi, N., Cheung, C. M. K., Lim, K. H., & Sia, C. L. (2011). Consumer’s decision to shop online: The moderating role of positive informational social influence. Information & Management, 48(6), 185–191. doi:10.1016/j.im.2010.08.005 Lee, Y., Kozar, K., & Larsen, K. (2003). The technology acceptance model: past, present, and future. Communications of the Association for Information System, 12(50), 752–780. doi:10.1037/0011816 Li, J., & Sun, J. (2009). An empirical study of e-commerce website success model. In MASS ’09. International Conference on Management and Service Science (pp. 3–6). Lian, J.-W., & Lin, T.-M. (2008). Effects of consumer characteristics on their acceptance of online shopping: Comparisons among different product types. Computers in Human Behavior, 24(1), 48–65. doi:10.1016/j.chb.2007.01.002 Licker, P. S. (2001). E-commerce system success: An Attempt to extend and respecify the Delone and Mclane Model od IS Success. Journal of Electronic Commerce Research, 2(4), 131–141. Lim, Y. M., Yap, C. S., & Lee, T. H. (2011). Intention to shop online : A study of Malaysian baby boomers. Journal of Business Management, 5(5), 1711–1717. Lin, H.-F. (2007a). Predicting consumer intentions to shop online: An empirical test of competing theories. Electronic Commerce Research and Applications, 6(4), 433–442. doi:10.1016/j.elerap.2007.02.002 Lin, H.-F. (2007b). The role of online and offline features in sustaining virtual communities: an empirical study. Internet Research, 17(2), 119–138. doi:10.1108/10662240710736997 Lindvall, M., Muthig, D., Kiefer, D., Dagnino, A., Wallin, C., Stupperich, M., & May, J. (2004, December). Agile software development in large organizations. IEEE Computer Society, 26–34. doi:10.1109/MC.2004.231 Liu, B., Zhou, X., Dang, Y., & Chen, Z. (2010). Website building systems design and implementation based on content management. In International Conference on Computer, Mechatronics, Control and Electronic Engineering (CMCE) (pp. 200–203). IEEE Conference Publications. doi:10.1109/CMCE.2010.5610008 Liu, Z., Yang, D., & Gu, D. (2010). Design and implementation of customized course website of data structure. In 2010 Second International Workshop on Education Technology and Computer Science (pp. 491–494). Ieee. doi:10.1109/ETCS.2010.360 Long, H., Lage, K., & Cronin, C. (2005). The flight plan of a digital initiatives project, part 2: Usability testing in the context of user-centered design. OCLC Systems & Services, 21(4), 324–345. doi:10.1108/10650750510631703 Lu, J., Yu, C.-S., Liu, C., & Yao, J. E. (2003). Technology acceptance model for wireless Internet. Internet Research, 13(3), 206–222. doi:10.1108/10662240310478222 Ma’ruf, J. ., Mohamad, O., & Ramayah, T. (2003). Intention to purchase via the internet:a comparison of two theoretical models. In The Proceedings of the 5th Asian Academy of Management Conference. Kuantan, Pahang. MacGregor, R. C., & Vrazalic, L. (2005). A basic model of electronic commerce adoption barriers: A study of regional small businesses in Sweden and Australia. Journal of Small Business and Enterprise Development, 12(4), 510–527. doi:10.1108/14626000510628199 Mackellar, J. (2013). Participant observation at events: theory, practice and potential. International Journal of Event and Festival Management, 4(1), 56–65. doi:10.1108/17582951311307511 Malek Mohammad, A.-M. (2011). The Antecedents of Internet Banking Service Adoption in Jordan: Using Decomposed Theory of Planned Behaviour. Universiti Utara Malaysia. Malik, G., & Guptha, A. (2013). An empirical study on behavioral intent of consumers in online shopping. Business Perspectives and Research, 13–29. Manstead, A. ., & Eekelen, S. . (1998). Distinguishing between perceived behavioral control and self-efficacy in the domain of academic achievement intentions and behaviors. Journal of Applied Social Psychology, 28(15), 1375–1392. Marchewka, J. T., Liu, C., & Kostiwa, K. (2007). An Application of the UTAUT Model for Understanding Student Perceptions Using Course Management Software. Communications of the IIMA, 7(2), 93–104. Mariani, M. G., Curcuruto, M., & Gaetani, I. (2013). Training opportunities, technology acceptance and job satisfaction: A study of Italian organizations. Journal of Workplace Learning, 25(7), 455–475. doi:10.1108/JWL-12-2011- 0071 Marshall, C., & Rossman, G. . (2009). Designing Qualitative Research (4th ed.). SAGE Publications. Masrom, M., & Ramlah, H. (2008). User Acceptance of Information Technology: Understanding Theories and Models. Batu Caves: Venton Publishing. Maxis. (2000). MaxisNet launches the e365 cyber-mall for online merchants and shoppers. Retrieved from http://www.maxis.com.my/mmc/index. asp?fuseaction=press.view&recID=7 Melati, M. A. (2012). “TUKAR”, A Move To Provide New Image For Retailers. Retrieved from http://www.kpdnkk.gov.my/en/web/guest/program-tukar-bantunaik-imej-kedai-runcit;jsessionid= 345408613C0656DAC4393FC1CA4381B0 Michael, D., Nripendra, P., & Yogesh, K. (2011). Is UTAUT realy used or just citied for the sake of it? A Systematic review of citations of UTAUT’s. In 19th European Conference of Information System, ECIS 2011. Helsinki. Mohammad, I. (2013). Factors influencing consumers’ acceptance of mobile marketing services. Universiti Utara Malaysia. Mohammed Atiquil Islam, A. Y. (2011). Viability of the extended technology acceptance model: An empirical study. Journal of ICT, 10(1), 85–98. Monsuwé, T. P. Y., Dellaert, B. G. C., & Ruyter, K. De. (2004). What drives consumers to shop online? A literature review. International Journal of Service Industry Management, 15(1), 102–121. doi:10.1108/09564230410523358 Moon, J., Chadee, D., & Tikoo, S. (2008). Culture, product type, and price influences on consumer purchase intention to buy personalized products online. Journal of Business Research, 61(1), 31–39. doi:10.1016/j.jbusres.2006.05.012 Moshrefjavadi, M. H., Rezaie Dolatabadi, H., Nourbakhsh, M., Poursaeedi, A., & Asadollahi, A. (2012). An Analysis of Factors Affecting on Online Shopping Behavior of Consumers. International Journal of Marketing Studies, 4(5), 81–98. doi:10.5539/ijms.v4n5p81 Muhayiddin, M.-N., Musa, E., & Ismail, H. (2011). Technology Acceptance of a Gold Dinar Based Electronic Payment System. iBusiness, 03(03), 295–301. doi:10.4236/ib.2011.33039 Mustafa, S. H., & Al-Zoua’bi, L. F. (2008). Usability of the academic websites of Jordans’ Universities An evaluation study. Retrieved from http://faculty.ksu.edu.sa/lalzouabi/Documents/ Usability of the Academic Websites of Jordan’s Universities An Evaluation Study.pdf Naseri, M. B., & Elliott, G. (2011). Role of demographics, social connectedness and prior internet experience in adoption of online shopping: Applications for direct marketing. Journal of Targeting, Measurement and Analysis for Marketing, 19(2), 69–84. doi:10.1057/jt.2011.9 Nasir, A. G. (2010). UKM bantu wanita jadi e-usahawan melalui pasaraya maya 1nita.my. Retrieved from http://www.ukm.edu.my/news/index. php/ms/beritapenyelidikan/452-ukm-helps-to-create- virtual-market-for-small-time-womenentrepreneurs- 1nitamy.html National Australia Bank. (2012). Online sales growth recorded a recovery in June. Retrieved from http://www.nab.com.au/wps/wcm/connect/bb3bea004c1 ce8df8033aba00d1e0a8c/NAB-OnlineRetailSalesIndex 285June2012.pdf?MOD=AJPERES&CACHEID=bb3bea004c1ce 8df8033aba00d1e0a8c Nikolaeva, R. (2006). E-commerce adoption in the retail sector: empirical insights. International Journal of Retail & Distribution Management, 34(4/5), 369–387. doi:10.1108/09590550610660288 Noorfadzilah, M. Z., Wan Fatimah, W. A., & Goh, K. N. (2010). Designing ecommerce user interface. In 2010 International Conference on User Science and Engineering (i-USEr) (pp. 163–167). Ieee. doi:10.1109/IUSER.2010.5716744 Norazah, M. S. (2010). An empirical study of factors affecting the internet banking adoption among Malaysia consumers’. Journal of Internet Banking and Commerce, 15(2), 1–11. Norazah, M. S., Ramayah, T., & Norbayah, M. S. (2008). Internet shopping acceptance: Examining the influence of intrinsic versus extrinsic motivations. Direct Marketing: An International Journal, 2(2), 97–110. doi:10.1108/17505930810881752 Norshuhada, S., & Shahizan, H. (2010). Design Research in Software Development. Universiti Utara Malaysia Press. Norzieiriani, A., Azizah, O., & Ramayah, T. (2010). Consumer lifestyles and online shopping continuance intention. Business Strategy Series, 11(4), 227–243. doi:10.1108/17515631011063767 Nurminen, J. K., Wikman, J., Kokkinen, H., Muilu, P., & Grönholm, M. (2008). Drupal content management system on mobile phone personal mobile website Apache Symbian MySQL. In IEEE Computer Society (pp. 1228–1229). Nysveen, H., & Pedersen, P. E. (2014). Consumer adoption of RFID-enabled services. Applying an extended UTAUT model. Information Systems Frontiers, 1–22. Öncü, S., & Sengel, E. (2010). Conducting preliminary steps to usability testing : investigating the website of Uluda University. Procedia Social and Behavioral Sciences, 2, 890–894. doi:10.1016/j.sbspro.2010.03.122 Onwuegbuzie, A. J., & Leech, N. L. (2007). Sampling designs in qualitative research : Making the sampling process more public. The Qualitative Report, 12(2), 19–20. Retrieved from http://www.nova.edu/ssss/QR/QR12-2/onwuegbuzie1. pdf Oostveen, A., & Besselaar, P. Van Den. (2004). From small scale to large scale user participation : A case study of participatory design in e-government systems. In Proceedings of the eight conference on Participatory Design. (pp. 173–182). Toronto: ACM. Oye, N. ., Noorminshah, A., & Nor Zairah, A. . (2011). Examining the effect of Technology Acceptance Model on ICT usage in Nigerian tertiary institutions. Journal of Emerging Trends in Computing and Information Sciences, 2(10), 533–545. Ozdemir, E., & Kilic, S. (2011). Young ocnsumers’ perspectives of website visualization : A gender perspective. Business and Economics Research Journal, 2(2), 41–60. Pallant, J. (2007). SPSS Survival Manual A step by step guide to data analysis (3rd ed.). Open University Press. Palsson, H. (2007). Participant observation in logistics research: Experiences from an RFID implementation study. International Journal of Physical Distribution & Logistics Management, 37(2), 148–163. doi:10.1108/09600030710734857 Pavlou, P. ., & Fygenson, M. (2006). Understanding and predicting electronic commerce adoption: an extension of the theory of planned behavior. MIS Quartely, 30(1), 115–143. Pavlou, P. A. (2003). Consumer acceptance of electronic commerce : Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 69–103. Paynter, J., & Lim, J. (2001). Drivers and impediments to e-commerce in Malaysia. Malaysian Journal of Library & Information Science, 6(2), 1–19. Perez-Hernandez, J., & Sanches-Mangas, R. (2011). To have or not to have internet at home: Implications for online shopping. Information Economics and Policy, 23(3-4), 213–226. Peter, J. P., & Olson, J. C. (2008). Consumer Behavior and Marketing Strategy (8th ed.). McGraw-Hill/Irwin. Retrieved from http://books.google.com.my/books/about/Consumer_ Behavior_and_Marketing_Strategy.html?id=2ZgVAAAA CAAJ&redir_esc=y Prasad, J. S., & Aryasri, A. R. (2009). Determinants of Shopper Behaviour in Etailing: An Empirical Analysis (Vol. 13). Retrieved from www.cob.unt.edu/slides/paswan/e-tailing/India.pdf Pressman, R. S., & Lowe, D. (2009). Web Engineering: A Practitioner’s Approach. Singapore: McGraw Hill. Puenesvary, M., Radziah, A. R., Sivabala, R. N., Noor Fadhilah, M. . ., & Noor Hashima, A. A. (2008). Qualitative Research: Data Collection & Data Analysis Technique. Universiti Utara Malaysia Press. Ramayah, T., & Ignatius, J. (2010). Intention to shop online:The mediaton role of perceived ease of Use. Middle-East Journal of Scientific Research, 5(3), 152–156. Reblex. (2013). 3rd Asia E-Commerce Conference. Malaysia: Reblex. Retrieved from www.e-commerceconference.com Rogayah, A. M., Nor Laila, M. N., Wan Adilah, W. A., & Suria, M. (2010). A survey on user involvement in software development life cycle from practitioner’s perspectives. In 5th International Conference on Computer Sciences and Convergence Information Technology (ICCIT), 2010 (pp. 240–243). Seoul. doi:10.1109/ICCIT.2010.5711064 Rosli, M., & Noor Azizi, I. (2009). Electronic commerce adoption in SME:The trend of prior studies. Journal of Internet Banking and Commerce, 14(2), 1–17. Sam, H. K., Abang Ekhsan, A. O., & Zaimuarifuddin Shukri, N. (2005). Computer self-efficacy, computer anxiety and attitudes toward the internet : A study among undergraduates in Unimas. Educational Technology & Society, 8(4), 205–219. Sejarah Gerakan Koperasi di Malaysia. (n.d.). Retrieved from http://www.skm.gov.my/sejarah-gerakan-koperasi1 Sekaran, U., & Bougie, R. (2010). Research Methods for Business: A skill Building Approach (5th ed.). West Sussex, United Kingdom: John Wiley & Sons Limited. Sellappan, P. (2000). Software Engineering: Management and Method. Sejana Publishing. Seman, E. A. A., Idyawati, H., & Sura, S. (2009). Website design evaluation: Comparison of telecommunication websites in Malaysia. In PICMET ’09-2009 Portland International Conference on Management of Engineering & Technology (pp. 1790–1797). IEEE. doi:10.1109/PICMET.2009.5261948 Shahizan, H., & Li, F. (2005). Evaluating the usability and content usefulness of web sites : A benchmarking Approach. Journal of Electronic Commerce in Organizations, 3(June), 46–48. Shahizan, H., Norshuhada, S., & Ab Salam, S. (2015). Social media as persuasive technology for business : Trends and perceived impact in Malaysia. International Journal of E-Business Research, 11(June), 18–39. doi:10.4018/ijebr.2015040102 Shao, X., & Siponen, M. (2011). Consumer Acceptance and Use of Information Technology : Adding consumption theory to UTAUT2. In SIGSVC Workshop (Vol. 11). Retrieved from http://sprouts.aisnet.org/11-157 Sharma, A., Singhal, Y. K., Makhija, D., Goyal, A. K., Agarwal, N., & Bakhshi, A. (2007). Factors affecting e-tailing website effectiveness: An Indian perspective. In Second International Conference on Internet and Web Applications and Services (ICIW’07) (pp. 41–41). Ieee. doi:10.1109/ICIW.2007.33 Shen, W., Liu, J., & Wang, H. (2009). The research of the effects of consumer traits on online purchasing intentions. In IEEE. Siddiqui, N., O’Malley, A., McColl, J. C., & Birtwistle, G. (2003). Retailer and consumer perceptions of online fashion retailers: Web site design issues. Journal of Fashion Marketing and Management, 7(4), 345–355. doi:10.1108/13612020310496949 Siemer eCommerce Report. (2013). Retrieved from http://www.siemer.com/dev/wpcontent/uploads/2013/ 07/Siemer-Associates-eCommerce-Report_Spring-2013. pdf Sinha, P. K., & Uniyal, D. P. (2005). Using observational research for behavioural segmentation of shoppers. Journal of Retailing and Consumer Services, 12(1), 35–48. Small Retailer Transformation Programme (TUKAR). (2011). Retrieved from http://etp.pemandu.gov.my/8_March_2011-@-Small_ Retailer_Transformation_Programme_(TUKAR).aspx SME’s Urged To Tap The Global Market Via-E-commerce. (2014, August 14). Bernama. Retrieved from http://www.bernama.com/bernama/v7/bu/news business.php?id=1060273 So, W. C. M., Wong, T. N. D., & Sculli, D. (2005). Factors affecting intentions to purchase via the internet. Industrial Management & Data Systems, 105(9), 1225–1244. doi:10.1108/02635570510633275 Souer, J., Joor, D.-J., Helms, R., & Brinkkemper, S. (2011). Identifying commonalities in web content management system engineering. International Journal of Web Information Systems, 7(3), 292–308. doi:10.1108/17440081111165901 Souer, J., Urlings, T., Helms, R., & Brinkkemper, S. (2011). Engineering web information systems : A content management system-based approach. In Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services (pp. 5–7). Ho Chi Minh City. Spake, D. F., Finney, R. Z., & Joseph, M. (2011). Experience, comfort, and privacy concerns: antecedents of online spending. Journal of Research in Interactive Marketing, 5(1), 5–28. doi:10.1108/17505931111121507 Spinuzzi, C. (2005). The methodology of participatory design. Technical Communication, 52(2), 163–174. Stafford, T. F., Turan, A., & Raisinghani, M. S. (2004). International and crosscultural Influences on online shopping behavior. Journal of Global Information Management, 7(2), 70–87. Stockdale, R., & Standing, C. (2006). A classification model to support SME ecommerce adoption initiatives. Journal of Small Business and Enterprise Development, 13(3), 381–394. doi:10.1108/14626000610680262 Straub, D., Limayem, M., & Karahanna, E. (1995). Measuring System Usage : Implications for IS Theory Testing. Management Scinece, 41(8), 1328–1342. Su, D., & Huang, X. (2011). Research on online shopping intention of undergraduate consumer in China: Based on the theory of planned behavior. International Business Research, 4(1), 86–93. Suratida, R., & Settapong, M. (2005). Information technology implementation by applying NIE - SDLC model : The case study on an organization in Thailand. In Engineering Management Conference 2005 (pp. 250–254). Suruhanjaya Koperasi Malaysia. (2011). Indeks 100 koperasi terbaik Malaysia. Retrieved from www.skm.gov.my Suruhanjaya Koperasi Malaysia. (2012). Statistik. Retrieved from http://www.skm.gov.my/documents/ 10157/5bd19d87-7282-44ab-aa85-c8d8f1fe5cd6 Syed, S. A. (2009). E-Commerce in Malaysia: issues and cases. University Publication Center, UiTM. Syed, S. A., Zaharah, B., Hishamuddin, I., & Nilufar, A. (2008). Young consumers online shopping : an empirical study. Journal of Internet Business, (5), 81–98. Systems Development Life Cycle : Objectives and Requirements. (2003). Tabachnick, B. G., & Fidell, L. . (2007). Using multivariate statistics (4th ed.). New York: HarperCollins. Tangani Digital Malaysia. (2013, November 14). Bernama. Kuala Lumpur. Retrieved from http://ww3.utusan.com.my/utusan/Dalam_Negeri/ 20131115/dn_01/Tangani-Digital-Malaysia Taylor, M. ., McWilliam, J., Forsyth, H., & Wade, S. (2002). Methodologies and website development: a survey of practice. Information and Software Technology, 44(6), 381–391. doi:10.1016/S0950-5849(02)00024-1 Teo, T. S. H. (2006). To buy or not to buy online: adopters and non-adopters of online shopping in Singapore. Behaviour & Information Technology, 25(6), 497–509. doi:10.1080/01449290500256155 Thatcher, J. B., Loughry, M. L., Lim, J., & McKnight, D. H. (2007). Internet anxiety: An empirical study of the effects of personality, beliefs, and social support. Information & Management, 44(4), 353–363. doi:10.1016/j.im.2006.11.007 Thatcher, J. B., & Perrewe, P. L. (2002). An empirical examination of individual traits as antecedents to computer anxiety and computer self-efficacy. MIS Quartely, 26(4), 381–396. Retrieved from http://onlinelibrary.wiley.com/ doi/10.1002/cbdv.200490137/abstract Thomas, I., Davie, W., & Weidenhamer, D. (2012). Quarterly retail e-commerce sales. Retrieved from http://www.census.gov/retail/mrts/www/data/pdf/ ec_current.pdf TM and Lelong.my in pact to aid SMEs. (2012, December 18). Digital News Asia. Retrieved from http://www.digitalnewsasia.com/enterprise-updates/ tm-andlelongmy-in-pact-to-aid-smes Turban, E., King, D., & Lang, J. (2009). Introduction to Electronic Commerce (2nd ed.). Pearson Prentice Hall. Vaishnavi, V., & Kuechler, B. (2004). Design science research in information sytems. Retrieved from http://www.desrist.org/desrist/content/ design-science-researchin-information-systems.pdf Van Der Sijde, P., Van Reekum, R., Jeurissen, W., & Rosendaal, B. (2014). To adopt or not to adopt? The RFID adoption consideration by entrepreneurs in a purchasing cooperative in Dutch Book retailing. International Journal of Innovation and Technology Management, 12(1), 1550006. doi:10.1142/S0219877015500066 Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204. Retrieved from http://mansci.journal.informs.org/ content/46/2/186.short Venkatesh, V., Morris, M., & Ackerman, P. (2000). A longitudinal field investigation of gender differences in individual technology adoption decision-making processes. Organizational Behavior and Human Decision Processes, 83(1), 33–60. doi:10.1006/obhd.2000.2896 Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology:Toward a unified view. MIS, 27(3), 425–478. Venkatesh, V., Thong, J. Y. ., & Xu, X. (2012). Consumer acceptance and use of information technology:Extending the unified theory of acceptance and use of technology. MIS Quartely, 36(1), 157–178. Wan, Y., Nakayama, M., & Sutcliffe, N. (2010). The impact of age and shopping experiences on the classification of search, experience, and credence goods in online shopping. Information Systems and E-Business Management, 10(1), 135–148. doi:10.1007/s10257-010-0156-y Wang, Y. (2008). Assessing e-commerce systems success: a respecification and validation of the DeLone and McLean model of IS success. Information Systems Journal, 18(5), 529–557. doi:10.1111/j.1365-2575.2007.00268.x Wang, Y., Hung, Y.-H., & Chou, S.-C. T. (2006). Acceptance of e-government service : A validation of the UTAUT department of information management. In 5th WSEAS International Conference on E-Activities (pp. 165–170). Venice, ITALY. Wang, Y., & Liao, Y.-W. (2006). Assesing e-government Systems Success: A validation of the Delone and Mclean Model of Information Systems Success. In Proceedings of the 11th Annual Conference of Asia Pacific Decision Sciences Institute (pp. 356–366). Weaver, P. (2004). Success in Your Project A Guide to student System Development Project. Prentice Hall Financial Times. Weisberg, J., Te’eni, D., & Arman, L. (2011). Past purchase and intention to purchase in e-commerce: The mediation of social presence and trust. Internet Research, 21(1), 82–96. doi:10.1108/10662241111104893 Wigder, Z. ., Sehgal, V., Evans, P. ., & Johnson, C. (2010). Asia Pacific Online Retail Forecast, 2010 to 2015. Retrieved from http://www.forrester.com/eCommerce#/Asia+Pacific +Online+Retail+Forecast+2010+To+2015/quickscan/-/ E-RES57481 Williams, A. (2009). User centered design, Activity centered design and goal-directed design: A review of three methods for designing web applications. In Proceedings of the 27th ACM international conference on Design of communication (pp. 1–8). ACM. Wu, S.-I. (2003). The relationship between consumer characteristics and attitude toward online shopping. Marketing Intelligence & Planning, 21(1), 37–44. doi:10.1108/02634500310458135 Xu, Y., & Paulins, V. A. (2005). College students’ attitudes toward shopping online for apparel products: Exploring a rural versus urban campus. Journal of Fashion Marketing and Management, 9(4), 420–433. doi:10.1108/13612020510620795 Yang, Y., & Li, Q. (2010). A quantitative research on influencing factors of the behavior that consumers buying diamond jewelry online. In 2010 International Conference on Internet Technology and Applications (pp. 1–4). Ieee. doi:10.1109/ITAPP.2010.5566582 Yao, C., & Liao, S. (2011). Measuring the antecedent effects of service cognition and internet shopping anxiety on consumer satisfaction with e-tailing service. Management & Marketing Challenges for the Knowledge Society, 6(135), 59–78. Yao, G., & Li, Q. (2009). The effects of online shopping familiarity and internet selfefficacy on the formation of trust toward online shopping. In 2009 International Conference on E-Business and Information System Security (pp. 1–5). IEEE. doi:10.1109/EBISS.2009.5138114 Yao, X. (2009). Study on internet purchase behavioral intention. In 2009 International Conference on E-Business and Information System Security (pp. 1–4). Ieee. doi:10.1109/EBISS.2009.5138085 Yaping, C., Dan, H., & Jun, Y. (2009). The impact of B2C website design features on consumers’ purchase intention. In 2009 International Conference on Networks Security, Wireless Communications and Trusted Computing (pp. 17–20). Ieee. doi:10.1109/NSWCTC.2009.179 Yin, R. K. (2009). Case Study Research Design and Methods (4th ed.). SAGE Publications. Yin, R. K. (2011). Qualitative Research from Start to Finish. New York: The Guilford Press. Yoshida, H., Tani, S., Uchida, T., Masui, J., & Nakayama, A. (2013). Structural Analysis of Anxiety in Online Cooperative Learning. International Journal of EEducation, E-Business, E-Management and E-Learning, 3(5), 381–385. doi:10.7763/IJEEEE.2013.V3.263 Yousept, I., & Li, F. (2005). Building an online grocery business : The case of asda.com. International Journal of Cases on Electronic Commerce, 1(June), 57–78. Yu, S., & Fu, F. (2010). Investigating customer needs and evaluation behavior in online shopping. In IEEE (pp. 462–467). IEEE. Yulihasri, Md.Aminul, I., & Ku Amir, K. D. (2011). Factors that influence customers’ buying intention on shopping online. International Journal of Marketing Studies, 3(1), 128–140. Zetty Madina, M. Z., Norazlin, R., Fatimah, A. G., Azlina, S., Munirah, H., Jusoff, K.,… Mushaireen, M. (2011). Online grocery shopping: The affect of time availability on Malaysian consumer preferences. World Applied Sciences Journal, 12, 60–67. Retrieved from http://www.idosi.org/wasj/wasj12(SSTE)/10.pdf Zhang, G., & Liu, C. (2010). Analysis and design on campus e-commerce system. In Information Management Innovation Management and Industrial Engineering ICIII 2010 International Conference on (Vol. 1, pp. 612–615). doi:10.1109/ICIII.2010.152 Zhang, G., & Liu, Z. (2011). Effects of influential factors on consumer perceptions of uncertainty for online shopping. Nankai Business Review International, 2(2), 158–171. doi:10.1108/20408741111139927 Zhang, K. Z. K., Cheung, C. M. K., & Lee, M. K.O. (2014). Examining the moderating effect of inconsistent reviews and its gender differences on consumers’ online shopping decision. International Journal of Information Management, 34(2), 89–98. doi:10.1016/j.ijinfomgt.2013.12.001 Zhao, L., & Du, S.-F. (2010). Design and implementation of j2EE-based web website content management system. In 2010 International Conference on E-Product EService and E-Entertainment (pp. 1–4). IEEE International. doi:10.1109/ICEEE.2010.5660870 Zhou, L., Dai, L., & Zhang, D. (2007). A critical survey of consumer factors in online shopping. Journal of Electronic Commerce Research, 8(1), 41–62.