5.3 後續建議(Follow-up Recommendations)
5.3.3 樣本性質之延伸方面(Sample Properties Extension)
本研究是以曾參與數位學習課程之學生的角度來分析，未來亦可增加教師以 及系統開發者與系統管理者的角度，全面探討數位學習環境的經營績效，結合多方 的意見與需求後，更可清楚了解我國發展數位學習所隱含的問題與困難，擬定解決 之道，促進國內數位學習的蓬勃發展。另外，甚至可延伸比較不同樣本之間，影響 數位學習經營績效之指標是否有所差異，使研究之結果更具代表性。
參考文獻
Ahn, T., Ryu, S., & Han, I. (2007). The impact of web quality and playfulness on user acceptance of online retailing. Information & Management, 44, 263-275.
doi:10.1016/j.im.2006.12.008
Akkoyunlu, B., & Soylu, M. Y. (2008). A study of student’s perceptions in a blended learning environment based on different learning styles. Educational Technology &
Society, 11, 183-193. Retrieved from Google Scholar.
Alsabawy, A. Y., Steel, C. A., & Soar, J. (2013). IT infrastructure services as a requirement for e-learning system success. Computers & Education, 69, 431-451.
doi:10.1016/j.compedu.2013.07.035
Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16, 74-94. doi:10.1177/009207038801600107 Bhattacherjee, A. (2001). An empirical analysis of the antecedents of electronic commerce service continuance. Decision Support Systems, 32, 201-214. Retrieved from ScienceDirect, Elsevier.
Chadha, G., & Kumail, S. M. N. (2002). E-Learning: An expression of the knowledge economy. New Delhi, India: Tata McGraw-Hill Publishing.
Chen, H. (2010). Linking employees’ e-learning system use to their overall job outcomes:
An empirical study based on the IS success model. Computers & Education, 55, 1628-1639. doi:10.1016/j.compedu.2010.07.005
Chen, H. J. (2012). Clarifying the empirical connection of new entrants’ e-learning systems use to their job adaptation and their use patterns under the collective-individual training environment. Computers & Education, 58, 321-337.
doi:10.1016/j.compedu.2011.07.010
Chen, H. L., & Mathews, S. (2013). The effects of portal website attitude and e-services on branding of e-stores. Australasian Marketing Journal(AMJ), 21, 155-160.
doi:10.1016/j.ausmj.2013.03.001
Chen, J. L. (2011). The effects of education compatibility and technological expectancy on e-learning acceptance. Computers & Education, 57, 1501-1511.
doi:10.1016/j.compedu.2011.02.009
Chen, S. S., Chuang, Y. W., & Chen, P. Y. (2012). Behavioral intention formation in knowledge sharing: Examining the roles of KMS quality, KMS self-efficacy, and organizational climate. Knowledge-Based Systems, 31, 106-118.
doi:10.1016/j.knosys.2012.02.001
Cheng, Y. M. (2013). Exploring the roles of interaction and flow in explaining nurses' e-learning acceptance. Nurse Education Today, 33, 73-80.
doi:10.1016/j.nedt.2012.02.005
Cheong, J. H., & Park, M. C. (2005). Mobile internet acceptance in Korea. Internet Research, 15, 125-140. doi:10.1108/10662240510590324
Chiu, C. M., Hsu, M. H., Sun, S. Y., Lin, T. C., & Sun, P. C. (2005). Usability, quality, value and e-learning continuance decisions. Computers & Education, 45, 399-416.
doi:10.1016/j.compedu.2004.06.001
Churchill, G. A., Jr., & Carol, S. (1982). An Investigation into the determinations of consumer satisfaction. Journal of Marketing Research, 19, 491-504. Retrieved from Google Scholar.
Cisco (2003). E-Learning introduction. Retrieved November 15, 2008, from http://www.cisco.com/
Compeau, D. R., & Higgins C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19.189-211. Retrieved from JSTOR.
Crosby, L. A., Evans, K. R. & Cowles, D. (1990). Relationship quality in service selling:
An interpersonal influence perspective. Journal of Marketing, 54, 68-81. Retrieved from JSTOR.
Daniel, C., & Philip K., P. (1986). Anchoring, efficacy and action: The influence of judgmental heuristics on self-efficacy judgments and behavior. Journal of Personality and Social Psychology, 50, 92-501. doi:10.1037/0022-3514.50.3.492 Davis, F. D. (1989). Perceived usefulness, perceived ease of use and user acceptance of
information technology. MIS Quarterly, 13, 319-340. Retrieved from JSTOR.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35, 982-1003. Retrieved from INFORMS PubsOnLine.
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, 9-30. Retrieved from Google Scholar.
Ducoffe, R. H. (1996). Advertising value and advertising on the Web. Journal of Advertising Research, 36, 21-35. Retrieved from Emerald.
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, 521-535. Retrieved from ScienceDirect, Elsevier.
Fishbein, M., & Ajzen, I. (1975). Beliefs, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
Folkes, V. S. (1988). Recent attribution research in consumer behavior: A review and new directions. Journal of Consumer Research, 14, 548. Retrieved from JSTOR.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable and measurement errors. Journal of Marketing Research, 18, 39-50.
Retrieved from JSTOR.
Garvin, D. A. (1984). What does ‘product quality’ really mean? Sloan Management Review, 26, 25-43. Retrieved from Google Scholar.
Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping:
An integrated model. MIS Quarterly, 27, 51-90. Retrieved from JSTOR.
Gelle, E., & Karhu, K. (2003). Information quality for strategic technology planning.
Industrial Management & Data Systems, 103, 633-643.
doi:10.1108/02635570310497675
Gibson, P. A., Cotton, S. R., Simoni, Z., O’Neal, L. J., & Moroney, H. M. (2014).
Changing teachers, changing students? The impact of a teacher-focused intervention on students’ computer usage, attitudes, and anxiety. Computers & Education, 71, 165-174. doi:10.1016/j.compedu.2013.10.002
Gu, J. C., Lee, S. C., & Suh, Y. H. (2009). Determinants of behavioral intention to mobile banking. Expert Systems with Applications, 9, 11605-11616.
doi:10.1016/j.eswa.2009.03.024
Gyampah, K. A. (2007). Perceived usefulness, user involvement and behavioral intention:
an empirical study of ERP implementation. Computers in Human Behavior, 23, 1232-1248. doi:10.1016/j.chb.2004.12.002
Hennington, A., Janz, B., & Poston, R. (2011). I’m just burned out: Understanding information system compatibility with personal values and role-based stress in a nursing context. Computers in Human Behavior, 27, 1238-1248.
doi:10.1016/j.chb.2011.01.004
Hill, T., Smith, N. D., & Mann, M. F. (1987). Role of efficacy expectations in predicting the decision to use advanced technologies: The case of computers. Journal of Applied Psychology, 72, 307-313. Retrieved from ERIC-EBSCOhost.
Hofman, J. (2004). The synchronous trainer’s survival guide: Facilitating successful live and online courses, meetings, and events. San Francisco, CA: Pfeiffer.
Hong, J. C., Hwang, M. Y., Tai, K. H., & Chen, Y. L. (2014). Using calibration to enhance students' self-confidence in english vocabulary learningrelevant to their judgment of over-confidence and predicted by smartphone self-efficacy and english learning anxiety. Computers & Education, 72, 313-322. doi:10.1016/j.compedu.2013.11.011 Horton, W.(2000). Designing web-based training. New York: Wiley.
Hsieh, P. H., & Cho, V. (2011). Comparing e-Learning tools’ success: The case of instructor–student interactive vs. self-paced tools. Computers & Education, 57, 2025-2038. doi:10.1016/j.compedu.2011.05.002
Igbaria, M., Iivari, J., & Maragahh, H. (1995). Why do individuals use computer technology? A finnish case study. Information & Management, 29, 227-238.
Retrieved from ScienceDirect, Elsevier.
intention: Moderating roles of computer self-efficacy and computer anxiety. Expert Systems with Applications, 36, 7848-7859. doi:10.1016/j.eswa.2008.11.005
Ismail, N. Z., Razak, M. R., Zakariah, Z., Alias, N., & Aziz, M. N. A. (2012). E-learning continuance intention among higher learning institution students’ in Malaysia.
Procedia-Social and Behavioral Sciences, 67, 409-415.
doi:10.1016/j.sbspro.2012.11.345
Jeong, H. (2011). An investigation of user perceptions and behavioral intentions towards the e-library. Library Collections, Acquisitions, and Technical Services, 35, 45-60.
doi:10.1016/j.lcats.2011.03.018
Jeong, M., & Lambert, C. U. (2001). Adaptation of an information quality framework to measure customers’ behavioral intentions to use lodging web sites. International Journal of Hospitality Management, 2, 129-146. Retrieved from ScienceDirect, Elsevier.
Johnson, R. D. (2005). An empirical investigation of sources of application-specific computer-self-efficacy and mediators of the efficacy-performance relationship.
International Journal of Human-Computer Studies, 62, 737-758.
doi:10.1016/j.ijhcs.2005.02.008
Kaisara, G., & Pather, S. (2011). The e-government evaluation challenge: A South African Batho Pele-aligned service quality approach. Government Information Quarterly, 28, 211-221. doi:10.1016/j.giq.2010.07.008
Karaali, D., Gumussoy, C. A., & Calisir, F. (2011). Factors affecting the intention to use a web-based learning system among blue-collar workers in the automotive industry.
Computers in Human Behavior, 27, 343-354. doi:10.1016/j.chb.2010.08.012 Kher, H. V., Downey, J. P., & Monk, E. (2013). A longitudinal examination of computer
self-efficacy change trajectories during training. Computers in Human Behavior, 29, 1816-1824. doi:10.1016/j.chb.2013.02.022
Kim, S. S., Lee, C. K. & Klenosky, D. B. (2003). The influence of push and pull factors at Korean national parks. Tourism Management, 24,169-180.
Kuo, Y. C., Walker, A. E., Schroder, K. E. E., & Belland, B. R. (2014). Interaction, Internet self-efficacy, and self-regulated learning as predictors of student satisfaction in online education courses. The Internet and Higher Education, 20, 35-50.
doi:org/10.1016/j.iheduc.2013.10.001
Kuo, Y. F., & Yen, S. N. (2009). Towards an understanding of the behavioral intention to use 3G mobile value-added services. Computers in Human Behavior, 1, 103-110.
doi:10.1016/j.chb.2008.07.00
Lam, T., Cho, V., & Qu, H. (2007). A study of hotel employee behavioral intentions towards adoption of information technology. International Journal of Hospitality Management, 1, 49-65. doi:10.1016/j.ijhm.2005.09.002
Landrum, H., & Prybutok, V. R. (2004). A service quality and success model for the information service industry. European Journal of Operational Research, 156, 628-642. doi:10.1016/S0377-2217(03)00125-5
Lee, B. C., Yoon, J. O., & Lee, I. (2009). Learners’ acceptance of e-learning in South Korea: Theories and results. Computers & Education, 53, 1320-1329.
doi:10.1016/j.compedu.2009.06.014
Lee, C. L., Yen, D. C. Peng, K. C., & Wu, H. C. (2010). The influence of change agents' behavioral intention on the usage of the activity based costing/management system and firm performance: The perspective of nified theory of acceptance and use of technology. Advances in Accounting, 26, 314-324. doi:10.1016/j.adiac.2010.08.00 Lee, H., Choi, S. Y., & Kang, Y. S. (2009). Formation of e-satisfaction and repurchase
intention: Moderating roles of computer self-efficacy and computer anxiety. Expert Systems with Applications, 36, 7848-7859. doi:10.1016/j.eswa.2008.11.005
Lee, J. K., & Lee, W. K. (2008). The relationship of e-learner’s self-regulatory efficacy and perception of e-learning environmental quality. Computers in Human Behavior, 24, 32-47. doi:10.1016/j.chb.2006.12.001
Lee, J. W. (2010). Online support service quality, online learning acceptance, and student satisfaction. The Internet and Higher Education, 13, 277-283.
doi:10.1016/j.iheduc.2010.08.002
Leso, T., & Peck, K. (1992). Computer anxiety and different types of computer courses.
Journal of Educational Computing Research, 8, 469-478. doi:10.2190/Q1TJ-8JCU-LDAP-84H8
Li, Y., Duan, Y., Fu, Z., & Alford, P. (2012). An empirical study on behavioural intention to reuse e-learning systems in rural China. British Journal of Educational Technology, 43, 933-948. doi:10.1111/j.1467-8535.2011.01261.x
Liaw, S. S. (2008). Investigating students’ perceived satisfaction, behavioral intention, and effectiveness of e-learning: A case study of the Blackboard system. Computers
& Education, 51, 864-873. doi:10.1016/j.compedu.2007.09.005
Lim, D. H., & Morris, M. L. (2008). Learner and instructional factors influencing learning outcomes within a blended learning environment. Educational technology &
Society, 12, 282-293. Retrieved from ERIC-EBSCOhost.
Lin, J. C. C., & Lu, H. (2000). Towards an understanding of the behavioral intention to use a web site. International Journal of Information Management, 20, 197-208.
Retrieved from ScienceDirect, Elsevier.
Lin, W. S., & Wang, C. H. (2012). Antecedences to continued intentions of adopting e-learning system in blended e-learning instruction: A contingency framework based on models of information system success and task-technology fit. Computers &
Education, 58, 88-99. doi:10.1016/j.compedu.2011.07.008
Loukis, E., Pazalos, K., & Salagara, A. (2012). Transforming e-services evaluation data into business analytics using value models. Electronic Commerce Research and Applications, 11, 129-141. doi:10.1016/j.elerap.2011.12.004
Luarn, P., & Lin, H. H. (2005). Toward an understanding of the behavioral intention to use mobile banking. Computers in Human Behavior, 21, 873-891.
doi:10.1016/j.chb.2004.03.003
Luarn, P., & Lin, H. H. (2005). Toward an understanding of the behavioral intention to use mobile banking. Computers in Human Behavior, 6, 873-891.
doi:10.1016/j.chb.2004.03.003
Mathieson, K., Peacock, E., & Chin, W. W. (2001). Extending the technology acceptance model: the influence of perceived user resources. ACM SIGMIS Database－Special issue on adoption, diffusion, and infusion of IT Homepage archive, 32, 86-112.
doi:10.1145/506724.506730
McKinney, V., Yoon, K., & Zaheidi, F. M. (2002).The measurement of web-customer satisfaction: An expectation and disconfirmation approach. Information Systems Research, 13, 296-315. doi:10.1287/isre.13.3.296.76
Mclnerney, V., Mclnerney, D. M., & Sinclair, K. E. (1994). Student teachers, computer anxiety and computer experience. Journal of Educational Computing Research, 11, 27-50. doi:10.2190/94D0-B0AF-NLAX-7RYR
Meléndez, A. P., Aguila-Obra, A. R., & Garrido-Moreno, A. (2013). Perceived playfulness, gender differences and technology acceptance model in a blended learning scenario. Computers & Education, 63, 306-317.
doi:10.1016/j.compedu.2012.12.014
Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perception of adopting an information technology innovation. Information Systems Research, 2, 192-222. Retrieved from INFORMS PubsOnLine.
Murphy, C. A., Coover, D., & Owen, S. V. (1989). Development and validation of the computer self-efficacy scale. Educational and Psychological Measurement, 49, 893-899. doi:10.1177/001316448904900412
Nicolaou, A. I., Ibrahim, M., & Heck, E. V. (2013). Information quality, trust, and risk perceptions in electronic data exchanges. Decision support systems, 54, 986-996.
doi:10.1016/j.dss.2012.10.024
Oliver, R. L. (1981). Measurement and evaluation of satisfaction processes in retail settings. Journal of Retailing, 57, 25-48. Retrieved from ERIC-EBSCOhost.
Ong, C. H., Lai, J. Y., & Wang, Y. S. (2004). Factors affecting engineers’ acceptance of asynchronous e-learning systems in high-tech companies. Information &
Management, 41, 795-804.
Ong, C. S., & Lai, J. U. (2006). Gender differences in perceptions and relationships among dominants of e-learning acceptance. Computers in Human Behavior, 22, 816-829. doi:10.1016/j.chb.2004.03.006
Ozkan, S., & Koseler, R. (2009). Multi-dimensional students’ evaluation of e-learning systems in the higher education context: An empirical investigation. Computers &
Education, 53, 1285-1296. doi:10.1016/j.compedu.2009.06.011
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64, 12-40. Retrieved from Google Scholar.
Peter, J. P. (1981). Construct validity: A review of basic issues and marketing practices.
Journal of Marketing Research, 18, 133-145. Retrieved from JSTOR.
Rai, A., Lang, S. S., & Welker, R. B. (2002). Assessing the validity of IS success models:
An empirical test and theoretical analysis. Information Systems Research, 13, 50-69.
doi:10.1287/isre.13.1.50.96
Raygor, A. L., & Wark, D. M. (1970). Systems for study. New York: McGraw-Hill.
Richmond, A. (1996). Enticing online shoppers to buy: A human behavior study.
Computer Network and ISDN Systems, 28, 1469-1480. Retrieved from Emerald.
Roca, J. C., Chiu, C. H., & Martínez, F. J. (2006). Understanding e-learning continuance intention: An extension of the technology acceptance model. International Journal of Human-Computer Studies, 64, 683-696. doi:10.1016/j.ijhcs.2006.01.003
Rogers, E. M. (1983). Diffusion of Innovations (3rd ed.). New York: Free Press.
Rosen, L. D., & Weil, M. M. (1995). Computer anxiety: A cross-cultural comparison of university students in ten countries. Computers in Human Behaviors, 11, 45-64.
Retrieved from ScienceDirect, Elsevier.
Rosenberg, M. (2001). E-learning strategies for delivering knowledge in the digital age.
New York: McGraw-Hill.
Rovai, A. P. (2000). Building and sustaining community in asynchronous learning networks. Internet and Higher Education, 3, 285-297. Retrieved from ScienceDirect, Elsevier.
Sabherwal, R., Jeyaraj, A., & Chowa, C. (2006). Information system success: individual and organizational determinants. Management Science, 52, 1849-1864. Retrieved from INFORMS PubsOnLine.
Sanderson, P. E. (2002). E-learning: Strategies for delivering knowledge in the digital age. The Internet and Higher Education, 5, 185-188. Retrieved from Google books.
Schaik, P. V., Barker, P., & Beckstrand, S. (2003). A comparison of on-campus and online course delivery methods in southern Nevada. Innovations in Education and Teaching International, 40(1), 5-15. doi:10.1080/1355800032000038859
Seddon, P. B. (1997). A respecification and extension of the Delone and McLean model of IS Success. Information Systems Research, 8, 240-253. Retrieved from INFORMS PubsOnLine.
Seddon, P. B., & Kiew, M. Y. (1996). A partial test and development of Delone and McLean’s model of IS success. Australian Journal of Information System, 4(1), 90-109. Retrieved from Google Scholar.
Sedera, D., & Gable, G. G. (2004). A factor and structural equation analysis of the enterprise systems success measurement model. Proceedings of the 25th International Conference on Information Systems, Washington DC, USA, 2004.
Selnes, F. (1993). An examination of the effect of product performance on brand reputation, satisfaction and loyalty. Journal of Product & Brand Management, 2, 45-60. doi:10.1108/EUM0000000002981
Shyu, S. H., & Huang, J. (2011). Elucidating usage of e-government learning: A perspective of the extended technology acceptance model. Government Information Quarterly, 28, 491-502.
Snitkin, S. R., & King, W. R. (1986). Determinants of the effectiveness of personal decision support systems. Information & Management, 10, 83-89. Retrieved from ScienceDirect, Elsevier.
Straub, D., Limayem, D., & Karahanna, E. (1995). Measuring system usage: Implication for IS theory testing. Management Science, 41, 1328-1342. Retrieved from JSTOR.
Sun, Y., Bhattacherjee, A., & Ma, Q. (2009). Extending technology usage to work settings:
The role of perceived work compatibility in ERP implementation. Information &
Management, 46, 351-356. doi:10.1016/j.im.2009.06.003
Sundar, S. S., & Nass, C. (2001). Conceptualizing sources in online news. Journal of Communication, 51, 52-72.doi:10.1111/j.1460-2466.2001.tb02872.x
Terzis, V., Moridis, C. N., & Economides, A. A. (2012). The effect of emotional feedback on behavioral intention to use computer based assessment. Computers & Education, 2, 710-721. doi:10.1016/j.compedu.2012.03.003
Torkzadeh, G., & Koufteros, X. (1994). Factorial validity of a computer self-efficacy scale and the impact of computer training. Educational and Psychological Measurement, 54. 813-821. DOI：10.1177/0013164494054003028
Tung, F. C., & Chang, S. C. (2008a). Nursing students’ behavioral intention to use online courses: A questionnaire survey. International Journal of Nursing Studies, 45, 1299-1309. doi:10.1016/j.ijnurstu.2007.09.011
Tung, F. C., & Chang, S. C. (2008b). A new hybrid model for exploring the adoption of online nursing courses. Nurse Education Today, 28, 293-300.
doi:10.1016/j.nedt.2007.06.003
Tung, F. C., Tung, S. C., & Chou, C. M. (2008). An extension of trust and TAM model with IDT in the adoption of the electronic logistics information system in HIS in the medical industry. International Journal of Medical Informatics, 5, 324-335.
doi:10.1016/j.ijmedinf.2007.06.006
Udo, G., Bagchi, K. K., & Kirs, P. J. (2012). Exploring the role of espoused values on e-service adoption: A comparative analysis of the US and Nigerian users. Computers in Human Behavior, 28, 1768-1781. doi:10.1016/j.chb.2012.04.017
Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39, 273-315. doi:10.1111/j.1540-5915.2008.00192.x
Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use:
Development and test. Decision Sciences, 27, 451-481. doi:10.1111/j.1540-5915.1996.tb00860.x
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46 186-204. Retrieved from INFORMS PubsOnLine.
Vijayasarathy, L. R. (2004). Predicting consumer intentions to use on-line shopping: The case for an augmented technology acceptance model. Information & Management, 41, 747-762. doi:10.1016/j.im.2003.08.011
Wang, Y. S., Wang, H. Y., & Shee, D. Y. (2007). Measuring e-learning systems success in an organizational context: Scale development and validation. Computers in Human Behavior, 23, 1792-1808. doi:10.1016/j.chb.2005.10.006
Webster, J., & Hackley, P. (1997). Teaching effectiveness in technology mediated distance learning. The Academy of Management Journal, 40, 1282-1309. Retrieved from JSTOR.
Zeithaml,V. A., Berry, L. L., & Parasuraman, A. (1996). The behavioral consequences of service quality. Journal of Marketing, 60, 31-46. Retrieved from Google Scholar.
附錄：研究問卷
問卷網址：https://docs.google.com/forms/d/1UyIaseRBCNG-zMwEfpyVfGe0f7BWT76nkBDwq_Wa6Xs/viewform
日期：2014/ / 時間： : 地點： 編號：
四、數位教材協助學習： 五、使用數位教材成效：