Systematic Approach to Measure Computer Based Information System Acceptance in Decision Making for Organizations in Jordan

The use of computer-based information system (CBIS) helps to facilitate decision makers and empowers them to make decisions in their workplace. A lower acceptance regarding the use of CBIS in private organizations in Jordan, however, leads to unsuitable decision making at various organizational leve...

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Main Author: Shakkah, Moh'd Suliman Hassan
Format: Thesis
Language:eng
eng
Published: 2012
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Online Access:https://etd.uum.edu.my/3367/1/MOH%60D__SULIMAN_HASSAN__SHAKKAH.pdf
https://etd.uum.edu.my/3367/4/mohd%20suliman.pdf
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institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
advisor Sheik Osman, Wan Rozaini
topic T58.5-58.64 Information technology
T58.5-58.64 Information technology
spellingShingle T58.5-58.64 Information technology
T58.5-58.64 Information technology
Shakkah, Moh'd Suliman Hassan
Systematic Approach to Measure Computer Based Information System Acceptance in Decision Making for Organizations in Jordan
description The use of computer-based information system (CBIS) helps to facilitate decision makers and empowers them to make decisions in their workplace. A lower acceptance regarding the use of CBIS in private organizations in Jordan, however, leads to unsuitable decision making at various organizational level, which eventually incurred cost and time to organizations. This research, which is based on the Unified Theory of Acceptance and Use of Technology (UTAUT), has the following objectives: (1) to measure the acceptance level of CBIS in decision making in organizations in Jordan, (2) to identify the decision making attributes (relevant factors) that affect decision making, (3) to develop a conceptual model of acceptance and use of the CBIS in decision making in organizations in Jordan. A questionnaire consisting of the variables such as time, cost, benefits, resources, risk, performance expectancy, effort expectancy, social influence, facilitating conditions, behavior intention to use CBIS, actual use of CBIS, and decision making process of CBIS, were used to collect the data for this study. The population of the study was private organizations registered in Jordan. A total of 642 questionnaires were distributed with the usable questionnaires of 360 returned, with a response rate of 56.07%. The Structural Equation Modeling (SEM) technique was used to analyze the data. All the proposed variables were significant except facilitating conditions. This study suggests organizations to take concrete steps to train their employees regarding the use, adoption and ultimately acceptance of CBIS in decision making.
format Thesis
qualification_name Ph.D.
qualification_level Doctorate
author Shakkah, Moh'd Suliman Hassan
author_facet Shakkah, Moh'd Suliman Hassan
author_sort Shakkah, Moh'd Suliman Hassan
title Systematic Approach to Measure Computer Based Information System Acceptance in Decision Making for Organizations in Jordan
title_short Systematic Approach to Measure Computer Based Information System Acceptance in Decision Making for Organizations in Jordan
title_full Systematic Approach to Measure Computer Based Information System Acceptance in Decision Making for Organizations in Jordan
title_fullStr Systematic Approach to Measure Computer Based Information System Acceptance in Decision Making for Organizations in Jordan
title_full_unstemmed Systematic Approach to Measure Computer Based Information System Acceptance in Decision Making for Organizations in Jordan
title_sort systematic approach to measure computer based information system acceptance in decision making for organizations in jordan
granting_institution Universiti Utara Malaysia
granting_department Awang Had Salleh Graduate School of Arts & Sciences
publishDate 2012
url https://etd.uum.edu.my/3367/1/MOH%60D__SULIMAN_HASSAN__SHAKKAH.pdf
https://etd.uum.edu.my/3367/4/mohd%20suliman.pdf
_version_ 1747827557188763648
spelling my-uum-etd.33672022-08-03T01:49:50Z Systematic Approach to Measure Computer Based Information System Acceptance in Decision Making for Organizations in Jordan 2012 Shakkah, Moh'd Suliman Hassan Sheik Osman, Wan Rozaini Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduate School of Arts & Sciences T58.5-58.64 Information technology HD28-70 Management. Industrial Management The use of computer-based information system (CBIS) helps to facilitate decision makers and empowers them to make decisions in their workplace. A lower acceptance regarding the use of CBIS in private organizations in Jordan, however, leads to unsuitable decision making at various organizational level, which eventually incurred cost and time to organizations. This research, which is based on the Unified Theory of Acceptance and Use of Technology (UTAUT), has the following objectives: (1) to measure the acceptance level of CBIS in decision making in organizations in Jordan, (2) to identify the decision making attributes (relevant factors) that affect decision making, (3) to develop a conceptual model of acceptance and use of the CBIS in decision making in organizations in Jordan. A questionnaire consisting of the variables such as time, cost, benefits, resources, risk, performance expectancy, effort expectancy, social influence, facilitating conditions, behavior intention to use CBIS, actual use of CBIS, and decision making process of CBIS, were used to collect the data for this study. The population of the study was private organizations registered in Jordan. A total of 642 questionnaires were distributed with the usable questionnaires of 360 returned, with a response rate of 56.07%. The Structural Equation Modeling (SEM) technique was used to analyze the data. All the proposed variables were significant except facilitating conditions. This study suggests organizations to take concrete steps to train their employees regarding the use, adoption and ultimately acceptance of CBIS in decision making. 2012 Thesis https://etd.uum.edu.my/3367/ https://etd.uum.edu.my/3367/1/MOH%60D__SULIMAN_HASSAN__SHAKKAH.pdf text eng public https://etd.uum.edu.my/3367/4/mohd%20suliman.pdf text eng public http://sierra.uum.edu.my/record=b1242593~S1 Ph.D. doctoral Universiti Utara Malaysia Abu-Shanab,E., & Pearson,M. (2009). Internet banking in Jordan: An Arabic instrument validation process. The International Arab Journal of Information Technology, 6(3), 235-246. Adiar,J. (2007).Decision making & problem solving strategies. London and Philadelphia: Kogan. Retreiveed at August 3, 2008, from http://gigapedia.com. Al-Abdul Gader,A. (1999). Managing Computer based Information Systems in Developing countries: A cultural Perspective. Idea Group Publishing, London. Al-Ahmad Malkawi,N.M.M., Alraja,M.N., & Alkhayer,T. (2010). Information systems auditing applied study at banks listed in the Damascus stock exchange Syria. European Journal of Economics, Finance and Administrative Sciences, 1(21), 119-132. Al-Dalabeeh, A.Kh., & Al- Zeaud,H.A. (2012). Accounting information systems and their role in the measurement and cost thrifting in public shareholding industrial companies in Jordan. International Journal of Business and Management, 7(12), 97-106. Al-Gahtani,S.,S. (2003). Computer technology acceptance success factors in Saudi Arabia: an exploratory study. Journal of Global Information Technology Management, 7(1), 5–29. Al-Gahtani,S.S., Hubona,G.S., & Wang,J. (2007). Information technology (IT) in Saudi Arabia: Culture and the acceptance and use of IT. Information & Management, 44(8), 681-691. Al-Mahid,M.T., & Abu-Taieh.E.O. (2006). Information system in developing countries: Reasons for failure, Jordan, case study. Idea Group Inc. 4, USA, retrieved 12, March, 2009. from: http://www.idea-group.com. Al-Omari,B.M.A., Al-Gatawneh,A.S.Z., & Al-Majali,A.Y. (2012). The impact of information technology in the process of managerial decision making afield study in Jordanian touristic companies. European Journal of Economics, Finance and Administrative Sciences, 50, 121-131. Al-Zhrani,S. (2010). Management information systems role in decision making during crises: case study. Journal of Computer Science, 6(11), 1247-1251. Al-Zahrani,M.E., & Goodwin,R.D. (2012). Towards a UTAUT-based model for the study of E-Government citizen acceptance in Saudi Arabia. International Journal of Economics and Management Sciences, 6, 109-115. Ajzen,I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. Anderson,J., & Schwager,P. (2004). SME adoption of wireless LAN technology: Applying the UTAUT Model. Paper presented at the 7th Annual Conference of the Southern Association for Information Systems. Savannah, GA, USA. Arnott,D., & Pervan,G. (2008). Eight key issues for the decision support systems discipline. Decision Support Systems, 44(3), 657-672, from science Direct Databases. Barakat,S., Yaghi,Kh., & Hamdan,H. (2011). MIS students’ perception of most wanted MIS job market skills. Computer & Information Science, 4(3), 33-42. Ben-Zvi,T., (2010). The efficacy of business simulation games in creating Decision Support Systems: An experimental investigation. Decision Support Systems, 49(1), 61-69, from Science Direct Databases. Bhushan,N., & Rai,K. (2004). Strategic Decision Making: Applying the Analytic Hierarchy Process. Springer, Retrieved at September 18, 2009, from http://gigapedia.com. Brislin,R. (1976). Comparative research methodology: cross-cultural studies. International Journal of Psychology, 11(3), 215-229. Brown,S.A., Dennis,A.R., and Venkatesh,V. (2010). Predicting collaboration technology use: Integrating technology adoption and collaboration research. Journal of Management Information Systems, 27(2), 9-53. Byrne,B.M. (2010). Structural Equation Modeling with AMOS: Basic Concepts, Applications, and Programming, (2nd edition). New York, NY: Taylor and Francis Group. Carlsson,S.A., Hrastinski,S., Henningsson,S., & Keller,C. (2009). An approach for designing management support system: the design science research process and its outcomes. Proceedings of the 4th International Conference on Design Science Research in Information Systems and Technology, art. No.21. Campion,M.A., Pursell,E.P., & Brown,B.K. (1988). Structured interview: Raising the psychometric prosperities of the employment interview. Personnel Psychology, 41(1), 25-42. Cha,M.Z, Minai,S.M., & Romli,A. (2004). User interface: The concept and significance in designing computer-based information system. ASPAC on ASET, 1-10. Indonesia: Institute Technology Bandung. Chau,P.Y.K. (1996). An empirical investigation on factors affecting the acceptance of CASE by systems developers. Information & Management, 30(6), 269-280. Chismar,W.G., & Patton,S.,W. (2003). Does the extended technology acceptance model apply to physicians. Proceedings of the 36th Hawaii International Conference on System Sciences (HICSS). Compeau,D.R., & Higgins,C.A. (1995).Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189–211. CXO systems, (2003). CIO Metrices and decision-making survey results. Retrieved November 2, 2008, from: http://209.85.173.132/search?q= cache:AwhJwcSXXAJ:hosteddocs.ittoolbox.com/ VD042304.pdf+CXO+systems,+2003.+CIO+Metrices+ and+DecisionMaking+Survey+Results&cd=1&hl=en &ct=clnk&gl=my. Daniel,F. (211).Diversity as technology: A new perspective. Journal of Diversity Management, 6(2), 31-40. Dasgupta,S., Hadddad,M., Wesis,P., & Bermudez,E. (2007). User acceptance of case tools in systems analysis and design an empirical study. Journal of Informatics Education Research, 9(1), 51-77. Davis,F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. Davis,D.F., Bagozzi,P.R., & Warshaw,R.P. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003, from EBSCOhost Databases. Davis, Fred D., Richard P.Bagozzi, and Paul R.Warshaw (1992), Extrinsic and Intrinsic Motivation to Use Computers in the Workplace. Journal of Applied Social Psychology, 22(14), 1111-1132. Dhillon,G. (2005). Gaining benefits from IS/IT implementation: Interpretations from case studies. International Journal of Information Management, 25(1), 502-51, from Science Direct Database. Dlodlo,N., Hunter,L., Cele,C. , Botha,A.F, & Metelerkamp,R. (2009). A Decision support system for wool classification. AUTEX Research Journal, 9(2), 42-46. Doll,W.J., Hendrickson,A., & Deng,X.(1998). Using Davis’s perceived usefulness and ease-of-use instruments for decision making: A confirmatory and multigroup invariance analysis. Decision Sciences, 29(4), 839-869. Ellahi,A., & Manarvi,I. (2010). Understanding attitudes towards computer use in the police department of Pakistan. The Electronic Journal on Information Systems in Developing Countries, 42(1), 1-26. Eom,B.H., Lee,M.S. & Suh,E-H. (1990).Group decision support systems: An essential tool for resolving organizational conflicts. International Journal of Information Management, 10(1), 215-227, from ScienceDirect Database. Fishbein,M., & Ajzen,I. (1975).Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley. Retrieved, from: http://www.people.umass.edu/aizen/f&a1975.html. Fitzgerald,P.S. (2002). Decision Making. John Wiley & Sons, Retrieved at September 2, 2008, from http://gigapedia.com. Fogarty,G.J., & Armstrong,B. (2009). Modeling the interactions among factors that influence successful computerisation of small businesses. Australasian Journal of Information Systems, 15(2), 73-89. Fornell C, Larcker D.,F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. Fuller,F., & Manning,W. (1994). Computer and Information Processing. USA: International Thomson Publishing. Gefen,D., Straub,D.W., & Boudreau,M.-C. (2000. Structural equation modeling and regression: Guidelines for research practice. Communications of the AIS, 4(7), 1-79. Gonzalez-Benito,O., Martinez-Ruiz,M.P., & Molla-Descals,A. (2010). Retail pricing decisions and product category competitive structure. Decision Support Systems, 49(1), 110-119, from science Direct Databases. Gonzalez,C. (2005). Decision support for real-time dynamic decision making tasks. Organizational Behavior & Human Decision Processes, 96, 142–154. Goodwin,C. (1997). The impact of a computer based information system (CBIS) on foreign investments opportunities. Proceedings of 12th Annual Conference of the International Academy for Information Management. USA, 362-367. Halawi,L., & McCarthy,R. (2006). Which theory applies: An analysis of information systems research. Issues in Information Systems, 7(2), 252-256. Hassard,S.T., Blandford,A., & Cox,A.,L. (2009). Analogies in design decisionmaking. Proceedings of the 23rd British HCI Group Annual Conference on People and Computers: Celebrating People and Technology, 140-148. Hair,J., Black,W., Babin,B., Anderson,R., & Tatham,R. (2006). Multivariate Data Analysis, 6th ed. Pearson Prentice Hall, Upper Saddle River, New Jersey. Hair,J., Black,W.C., Babin,B.J., & Anderson,R.E. (2010). Multivariate Data Analysis: A Global Perspective. London: Pearson. Hair,J., Anderson,R., Tatham,R., & Black,W. (1995). Multivariate data analysis (4th ed.). Upper Saddle River, NJ: Prentice Hall. Hair,J.F., Anderson,R.E., Tatham,R.L., & Black,W.C. (1998). Multivariate Data Analysis. Upper Saddle River, NJ: Prentice Hall. Harisson,D.A., Mykytyn,P.P., & Riemenschneider,C.K. (1997). Executive decisions about adoption of information technology in small business: Theory and empirical tests. Information system Research, 8(1), 171–195. Hatcher,L. (1994). A step-by-step approach to using the SAS system for factor analysis and structural equation modeling. Cary, NC: SAS Institute Inc. Huang,C.-C., Lin,T.-C., & Wang,J.-W. (2008). Understanding knowledge management system usage antecedents: An integration of social cognitive theory and task technology fit. Information & Management, 45(6), 410–417. Huang,E., Nai Ching Yeh .,N.C., & Hung,I.C. (2011). Using decomposed theory of planned behavior to explain virtual currency use intention. International Conference on E-Business and E-Government (ICEE 2011), 6–8 May 2011. Shanghai, China. Hu,L., & Bentler,P.M. (1999). Cut off criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55. Igbaria,M. (1993). User acceptance of microcomputer technology: an empirical test. Omega, 21(1), 73-90. Ismail,S.,T. (2011). The role of marketing information system on decision making: An applied study on royal Jordanian air lines (RJA). International Journal of Business and Social Science, 2(3), 175-185. Jurkiewicz,C.L., & Giacalone,R.A. (2004).A values framework for measuring the impact of workplace spirituality on organizational performance. Journal of Business Ethics, 49, 129–142. Kim,H.-S., Kim,G.-Y., & Park,C.-W. (2010). Integration of firm`s resource and capability to implement enterprise CRM: A case study of a retail bank in Korea. Decision Support Systems, 48(1), 313-322, from science Direct Databases. Kim,W., Jeong,O-R., Kim,C., & So,J. (2011). The dark side of the Internet: Attacks, costs and responses, Information Systems, 36(3), 675-705. Kline,R.B. (2005). Principlesand Practice of Structural Equation Modeling (2nd Edition). New York: The Guilford Press. Koufaris,M. (2002). Applying the technology acceptance model and flow theory to online consumer behavior. Information System Research, 13(2), 205-223. Laudon,C.K., & Laudon,P.J. (2005). Essential of Management Information Systems: Managing the Digital Firm, sixth ed. New Jersey: Prentice-Hall, Pearson. Lee,T. & King,W.R. (1991).The effects of user participation on system success: Toward a contingency theory of user satisfaction. Proceedings of the International Conference on Information Systems, New York, NY, 327-338. Lee,Y.-C., Li, M.-L., Yen, T.-M., & Huang,T.-H. (2010). Analysis of adopting an integrated decision making trial and evaluation laboratory on a technology acceptance model.Expert Systems with Applications, 37(2), 1745-1754. Lee,Y., Kozar,K.A., & Larsen,K. (2003). The Technology Acceptance Model: Past, Present, and Future. Communications of the Association for Information Systems, 12(50), 752-780. Lee,Y-L., & Huang,F-H. (2011). Recommender system architecture for adaptive green marketing, Expert Systems with Applications: An International Journal, 38(8), 9696-9703. Liang,T. (2008). Recommendation systems for decision support: An editorial introduction. Decision Support Systems, 45(1), 385-386. From ScienceDirect Database. Lurie,N.H., & Swaminathan,J.,M. (2009). Is timely information always better? The effect of feedback frequency on decision making. Organ. Behav. Human Decision Processes, 108(2), 315–329. Liu,S. Duffy,A.H.B. Whitfield,R.I., & Boyle,I.M. (2009). Integration of decision support systems to improve decision support performance. Knowledge and Information Systems, Springer London. 22(3),261-286. From Springerlinkt Database. Luecke,R. (2006). Harvard Business Essentials: Decision Making 5 Steps to Better Results, Boston: Harvard Business School Press. Li,J.P., & Kishore,R. (2006). How Robust is the UTAUT instrument? A multigroup invariance analysis in the Context of acceptance and use of online community weblog systems. Proceedings of the 2006 ACM SIGMIS CPR Conference on Computer Personnel Research, 183–189. Mahar,F. (2003). Role of information technology in transaction processing system. Pakistan Journal of Information and Technology, 2(2), 128-134, retrieved December 21, 2008, from: http://www.scialert.net/qredirect.php? doi= itj.2003.128.134&linkid=pdf. Mathieson,K. (1991). Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173-191. Martinsons,G.M., & Davison,M.R. (2007). Strategic decision support systems: comparing American, Japanese and Chinese management. Decision Support Systems, 43(1), 284-300, from Science Direct Database. Marakas,M.G. (1999). Decision Support Systems in the Twenty-First Century. New Jersey: Prentice Hall. Mentis,H.M,, Bach,P.M., Hoffman,B., Rosson,M.B., & Carroll, J.M. (2009). Development of decision rationale in complex group decision making. Proceedings of the 27th international conference on Human factors in computing systems, 1341-1350, from ACM Database. Mentzas,G. (1994). Toward intelligent organizational information systems. International Journal of Information Management, 14(6), 397-410, from Citseers Database. Miller.M.,B. (1995). Coefficient alpha: A basic introduction from the perspectives of classical test theory and structural equation modeling. Structural Equation Modeling, 2(3), 255-273. Moore,G.C., & Benbasat,I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Inform. Systems Resources. 2(3), 192–222. Murray,J.T. (1985).Computer Based Information Systems.USA: HomeWood, Illinios. Mykytyn JR,P.P., & Harrison,D.A. (1993). The application of the theory of reasoned action to senior management and strategic information systems. Information Resource Management Journal, 6(2), 15–26. Nabali,H.M. (1991). Hospital information systems in Arab Gulf countries. Information & Management, 20(1), 323-332. Nelson,R.R., & Cheney,H.P. (1987).Educating the CBIS user: A case analysis. SIGMIS Database, 18(2), 11-16. Nunnally,J.C. (1978). Psychometric Theory. New York, NY: McGraw-Hill. Nunnally,J.C., & Bernstein,I.H. (1994). Psychometric theory (3rd ed.). New York: McGraw-Hill. Ok,S., & Shon,J. (2006).The determinant of internet banking usage behavior in Korea: A comparison of two theoretical models. CollECTeR ’06, 9 December. Adelaide. Oshlyansky,L., Cairns,P., & Thimbleby,H. (2007). Validating the unified theory of acceptance and use of technology (UTAUT) tool cross-culturally. Proceedings of the 21st BCS HCI Group Conference, UK, 2(1), 3-7. Pallant,J. (2005). SPSS Survival Manual: a Step by Step Guide to Data Analysis using SPSS for Windows version 12 (2nd Ed.). Sydney: Allen & Unwin. Patel,S., & Zaver,J. (2010). A risk assessment model for cyber-attack on information system. Journal of Computers, 5 (3), 352–359. Persson,S., Malmgren,L., & Johnsson,H. (2009). Information management in industrial housing design and manufacture. Journal of Information Technology in Construction, 14(1), 110-122. Post,V.G., & Anderson,L.D. (2003). Management Information Systems: Solving Business Problems with Information Technology. Third ed. Boston: McGraw-Hill/Irwin. Rajagopal,P. ( 2002). An innovation-diffusion view of implementation of enterprise resource planning (ERP) systems and development of a research model. Information & Management, 40, 87–114. Sekaran,U (2000). Research Method For Business: A Skill Building Approach.(2nd Edition), Wiley, USA. Sekaran,U. (2003). Research Method for Business, A Skill Building Approach. (Forth ed). USA: John Wiley & Sons, Inc. Seymour,L., Makanya,W., & Berrange,S. (2007). End users` acceptance of enterprise resource planning systems: An investigation of antecedents.Proceedings of The 6 Annual Conference ISOnEworld, April 11-13, 2007, Las Vegas, NV: www.isoneworld.org. Standing,S., Standing,C., & Love,P.E.D. (2010). A review of research on emarketplaces 1997-2008. Decision Support Systems, 49(1), 41-51. From ScienceDirect Database. Stair,R., & Reynolds,G. (2006). Principles of Information Systems, 7th ed., Boston, MA, Thomson Course Technology. Stair,R., & Reynolds,G. (2010). Principles of Information Systems, 9th ed., Boston, MA, Thomson Course Technology. Tabachnick,B.G., Fidell,L.S., (2000). Using Multivariate Statistics, 4th ed. Allyn and Bacon, New York. Taylor,S., & Todd,P. (1995a). Decomposition and crossover effects in the theory of planned behavior: A study of consumer adoption intentions. International Journal of Research in Marketing, 12(2), 137-155. Taylor,S., & Todd,P. (1995b).Understanding the information technology usage: a test of competing models. Information Systems Research, 6(2), 144-176. Thompson,R.L., Higgins,C.A, & Howell,J.M. (1991). Personal computing: Toward a conceptual model of utilization. MIS Quarterly, 15(1), 124–143. Tseng,Y-F., & Lee,T-Z. (2009). Comparing appropriate decision support of human resource practices on organizational performance with DEA/AHP model. Expert Systems with Applications, 36(3), 6548-6558. Turban,E., Aronson,J., Liang,T., & Sharda,R. (2007). Decision Support and Business Intelligence Systems, 8th ed. New Jersey: Prentice-Hall, Pearson. Turban,E., Aronson,J., Liang,T., & Sharda,R. (2011). Decision Support and Business Intelligence Systems, 9th ed. New Jersey: Prentice-Hall, Pearson. Venkatesh,V., & Bala,H. (2008). Technology acceptance Model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273-315. Venkatesh,V., & Davis,F.D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204. Venkatesh, V., Morris, M.G., Davis, G.B., & Davis, F.D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478, from EBSCOhost Databases. Venkatesh,V., Morris,M.G., & Davis,F.D. (2007). Dead or alive? the evolution, trajectory, and future of technology adoption research. Journal of the Association for Information Systems, 8(4), 267-286. Venkatesh,V., & Zhang,X. (2010).Unified theory of acceptance and use of technology: U.S. Vs. China. Journal of Global Information Technology Management, 13(1), 5-27. Venkatesh,V., Thong,J., Y.L., &, Xu.,X. (2012). Consumer acceptance and use of information technology: extended the unified theory of acceptance and use of technology. MIS Quarterly, 26(1), 157-178. Vlahos,E.G., & Ferratt,W.T. (1995). Information technology use by managers in Greece to support decision making: Amount, perceived value, and satisfaction. Information & Management, 29(6), 305-315. From ScienceDirect Database. Vlahos,E.G., Ferratt,W.T., & Knoepfle,G. (2004). The use of computer-based information systems by German managers to support decision making. Information & Management, 41(6), 763-779. From ScienceDirect Database. Walker,W.D. (1988). Computer Based Information Systems: An introduction. Australia: Pergamon Press. Wang,Y.S., & Shih,Y.W. (2009).Why do people use information kiosks? A validation of the unified theory of acceptance and use of technology. Government Information Quarterly, 26(1), 158-165. Wang,H.-I., & Yang,H.-L. (2005). The role of traits in UTAUT model under online stocking. Contemporary Management Research, 1(1), 69-82. Wilson,R.S., & Arvai,J.L. (2006). When less is more: How affect influences preferences when comparing low and high-risk options, Journal of Risk Research, 9(2), 165-178. Wong,J., & Du,T. (2003). Project-centered teaching on CBIS to IBBA students in Hong Kong. SIGCSE Bulletin, 35(4), 35-38. ACM Databases. Wu,M.-Y., Chou,H.-P., Weng,Y.-C, & Huang,Y.-H. (2008). A Study of web 2.0 website usage behavior using TAM 2. Asia-Pacific Services Computing Conference, 2008, APSCC '08. IEEE, 1477-1482.