Students' intentions to purchase electronic textbooks

Journal of Computing in Higher Education

Volumn 25, Issue 1, 2013, Pages 27-47

  Stone, Robert W ^a   Baker Eveleth, Lori J ^a  

^a UNIVERSITY OF IDAHO   (United States)

Author keywords

Behavioral intentions to purchase; Electronic textbook; Outcome expectancy usefulness; Self efficacy

Indexed keywords

EID: 84879471018     PISSN: 10421726     EISSN: 18671233     Source Type: Journal    
DOI: 10.1007/s12528-013-9065-7     Document Type: Article

References (60)

1. Allen, N. (2009). Course correction: How digital textbooks are off track, and how to set them straight? (pp. 1-21). Chicago: The Student Public Interest Research Group.
2. Anderson, J. C., & Gerbing, D. W. (1988). Structural equations modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411-423.
3. Ballhaus, W., van der Donk, M., & Stokes, P. (2010). Turning the page: The future of ebooks (Vol. Technology, Media and Telecommunications): Price Waterhouse Coopers.
4. Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191-215.
5. Bandura, A. (1982). Self-Efficacy mechanism in human agency. American Psychologist, 37, 122-147.
6. Bandura, A. (1986). Social foundation of thought and action: A social cognitive theory. NJ: Prentice-Hall.
7. Barbeite, F. G., & Weiss, E. M. (2004). Computer self-efficacy and anxiety scales for an Internet sample: Testing measurement equivalence of existing measures and development of new scales. Computers in Human Behavior, 20, 1-15.
8. Baronas, A. K., & Louis, M. R. (1988). Restoring a sense of control during implementation: How user involvement leads to system acceptance? MIS Quarterly, 12(1), 111-123.
9. Bates, R., & Khasawneh, S. (2007). Self-efficacy and college students' perceptions and use of online learning systems. Computers in Human Behavior, 23, 175-191.
10. Beezer, R. (2009). The truly free textbook. EduCause Review, 44(1), 23-24.
11. Birch, A., & Irvine, V. (2009). Preservice teachers' acceptance of ICT integration in the classroom: Applying the UTAUT model. Educational Media International, 46(4), 295-315. doi: 10. 1080/09523980903387506.
12. Brown, M. (2009). The NetGens 2. 0: Clouds on the horizon. EduCause Review, 44(1), 66-67.
13. Busch, T. (1995). Gender differences in self-efficacy and attitudes toward computers. Journal of Educational Computing Research, 12, 147-158.
14. Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189-211.
15. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-339.
16. Dillon, N. (2008). The evolving textbook. American School Board Journal, 195(7), 20-23.
17. Ellison, N. B., Steinfield, C., & Lampe, C. (2007). The benefits of Facebook ''friends:'' Social capital and college students' use of online social network sites. Journal of Computer-Mediated Communication, 12(4), 1143-1168.
18. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, XVIII, 39-50.
19. Hair, J., Jr., Anderson, R. E., Tatham, R. L., & Black, W. C. (1992). Multivariate data analysis: With readings. New York: MacMillan.
20. Hasan, B. (2003). The influence of specific computer experiences on computer self-efficacy beliefs. Computers in Human Behavior, 19(4), 443-450.
21. Havelka, D. (2003). Predicting software self-efficacy among business students: A preliminary assessment. Journal of Information Systems Education, 14(2), 145.
22. Henry, J. W., & Stone, R. W. (1995a). Computer self-efficacy and outcome expectancy: The effects on the end-user's job satisfaction. Computer Personnel, 16(4), 15-34.
23. Henry, J. W., & Stone, R. W. (1995b). End-user perceptions of a computer-based medical information system's impact on patient care. Journal of Health Information Management Research, 3(2), 1-16.
24. Henry, J. W., & Stone, R. W. (1999). End-user perceptions of the impacts of computer self-efficacy and outcome expectancy on job performance and patient care when using a medical information system. International Journal of Healthcare Technology and Management, 1(1, 2), 103-112.
25. Henry, J. W., & Stone, R. W. (2001). The role of computer self-efficacy, outcome expectancy, and attribution theory in impacting computer system use. Journal of International Information Management, 10(1), 1-16.
26. Hill, R. (2010). Turning the page: Forget about those bulky backbreakers, digital textbooks are the future. School Library Journal, 24-27. Retrieved from website: http://www. schoollibraryjournal. com/slj/home/886880-312/turning_the_page_forget_about. html. csp.
27. Hooper, D., Caughlan, J., & Mullen, M. R. (2008). Structural equation modelling: Guidelines for determining model fit. Electronic Journal of Business Research Methods, 6(1), 53-60. Retrieved from website: http://www. ejbrm. com/front/search/index. html.
28. Hughes, A. D., Price, R. L., & Marrs, D. W. (1986). Linking theory construction and theory testing: Models with multiple indicators of latent variables. Academy of Management Review, 11(1), 128-144.
29. Igbaria, M., & Greenhaus, J. H. (1992). Determinants of MIS employee's turnover intentions: A structural equation model. Communications of the ACM, 35, 35-49.
30. Iivari, J. (2005). An empirical test of the DeLone-McLean model of information system success. The Data Base for Advances in Information Systems, 36(2), 8-27.
31. Luszczynska, A., Scholz, U., & Schwarzer, R. (2005). The general self-efficacy scale: Multicultural validation studies. Journal of Psychology, 139(5), 439.
32. Martinko, M. J., Henry, J. W., & Zmud, R. W. (1996). An attributional explanation of individual resistance to the introduction of information technologies in the workplace. Behaviour & Information Technology, 15(5), 313-330.
33. McQuiggan, S. W., Mott, B. W., & Lester, J. C. (2008). Modeling self-efficacy in intelligent tutoring systems: An inductive approach. User Modeling and User Adapted Interaction, 18(1-2), 81-123. doi: 10. 1007/s11257-007-9040-y.
34. Meier, S. T. (1985). Computer aversion. Computers in Human Behavior, 1(2), 171-179.
35. Nelson, M. R., & Hains, E. (2010). E-books in higher education: Are we there yet? EDUCAUSE Center for Applied Research, Research Bulletin, 2. Retrieved from website: http://www. educase. edu/ecar.
36. Niemuth, T. (2010). New tools for student engagement. Leadership, 39(3), 24-27.
37. Nunnally, J. (1978). Psychometric methods (2nd ed.). New York: McGraw-Hill.
38. Pendegraft, N., Rounds, M., & Stone, R. W. (2010). Factors influencing college students' use of computer security. International Journal of Information Security and Privacy, 4(3), 51-60.
39. Potosky, D. (2002). A field study of computer efficacy beliefs as an outcome of training: The role of computer playfulness, computer knowledge, and performance during training. Computers in Human Behavior, 18(3), 241-255.
40. Potosky, D., & Bobko, P. (1998). The computer understanding and experience scale: A self-report measure of computer experiences. Computers in Human Behavior, 14(2), 337-348.
41. Rachlin, N. (2011). Digital textbooks slow to catch on: Lower prices fail to spur sales, but study hints at boost with rise of tablets. The International Herald Tribune, p. 18.
42. 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(1), 50-69.
43. Rainer, R. K., Jr, & Harrison, A. W. (1993). Toward development of the end user computing construct in a university setting. Decision Sciences Journal, 24(6), 1187-1202.
44. Rampell, C. (2008). Free textbooks: An online company tries a controversial publishing model. Chronicle of Higher Education, 14-15. Retrieved from website: http://chronicle. com.
45. Reynolds, R. (2011). Trends influencing the growth of digital textbooks in US higher education. Publishing Research Quarterly, 27(2), 178-187.
46. Sang-ho, S. (2011). All textbooks to go digital by 2012. Seoul: The Korea Herald.
47. Seidel, K. (2009). Online textbooks: Deliver timely, real-world content. EduCause Review, 44(1), 28-30.
48. Shiratuddin, N., Landoni, M., Gibb, F., & Hassan, S. (2003). E-book technology and its potential applications in distance education. Journal of Digital Information, 3(4). Retrieved from website: http://journals. tdl. org/index. php/jodi/article/view/90/89.
49. Staples, D. S., Hulland, J. S., & Higgins, C. A. (1998). A self-efficacy theory explanation for the management of remote workers in virtual organizations. Journal of Computer-Mediated Communication, 3(4), 48-65.
50. Stewart, R. (2009). Some thought on free textbooks. EduCause Review, 44(1), 24-26.
51. Stone, R. W., & Henry, J. W. (2003). The roles of computer self-efficacy and outcome expectancy in influencing the computer end-user's organizational commitment. Journal of End User Computing, 15(1), 38-53.
52. Sweeney, M. J., Siegfried, J. J., Raymond, J. E., & Wilkinson, J. T. (1983). The structure of the introductory economics course in United States colleges. The Journal of Economic Education, 14(4), 68-75.
53. Thompson, B. (1997). The importance of structure coefficients in structural equation modeling confirmatory factor analysis. Educational and Psychological Measurement, 57(1), 5-19.
54. Tsai, M.-T., & Cheng, N. C. (2010). Programmer perceptions of knowledge-sharing behavior under social cognitive theory. Expert Systems with Applications, 37(12), 8479-8485.
55. Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.
56. Venkatesh, V., Morris, M., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Towards a unified view. MIS Quarterly, 27(3), 425-478.
57. Weisberg, M. (2011). Student attitudes and behaviors towards digital textbooks. Publishing Research Quarterly, 27(2), 188-196.
58. Wilson, B. C., & Shrock, S. (2001). Contributing to success in an introductory computer science course: A study of twelve factors. ACM SIGCSE Bulletin, 33(1), 184-188.
59. Woody, W. D., Daniel, D. B., & Baker, C. A. (2010). E-books or textbooks: Students prefer textbooks. Computers & Education, 55(3), 945-948.
60. Yi, M. Y., & Hwang, Y. (2003). Predicting the use of web-based information systems: Self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. International Journal of Human-Computer Studies, 59, 431-449.