What Matters the Most? The Key Factors That Lead to a New Service Adoption

Human Factors and Ergonomics In Manufacturing

Volumn 26, Issue 6, 2016, Pages 680-691

  Yang, Jun ^a   Park, Jungkun ^b   Endo, Seiji ^c  

^a UNIVERSITY OF HOUSTON VICTORIA   (United States)

^b Hanyang University   (South Korea)

^c Tokai University   (Japan)

Author keywords

Adoption; New product service; Social influence; Strong ties; TAM model; VoIP

Indexed keywords

INTERNET TELEPHONY; REGRESSION ANALYSIS;

ADOPTION; NEW PRODUCT/SERVICE; SOCIAL INFLUENCE; STRONG TIES; TAM MODEL; VOIP;

VOICE/DATA COMMUNICATION SYSTEMS;

EID: 84992123250     PISSN: 10908471     EISSN: 15206564     Source Type: Journal    
DOI: 10.1002/hfm.20407     Document Type: Article

References (67)

1. Agarwal, R., & Bayus, B. L. (2002). The market evolution and sales take-off of product innovations. Management Science, 48, 1024–1041.
2. Aiken, L. S., & West, S. G. (1991). Multiple regressions: Testing and interpreting interactions. Newbury Park, CA: Sage Publications.
3. Arts, J., Frambach, R. T., & Bijmolt, T. (2011). Generalizations on consumer innovation adoption: A meta-analysis on drivers of intention and behavior. International Journal of Research in Marketing, 28(2), 1340–1144.
4. Bahmanziari, T., Pearson, J. M., & Crosby, L. (2003). Is trust important in technology adoption? A policy capturing approach. Journal of Computer Information Systems, 43, 46–54.
5. Bass, F. M. (1969). A new product growth for model consumer durables. Management Science, 15(5), 215–227.
6. Bearden, W. O., & Etzel, M. J. (1982). Reference group influence on product and brand purchase decisions. Journal of Consumer Research, 9(2), 183–194.
7. Boyd, T., & Mason, C. H. (1999). The link between attractiveness of “extrabrand” attributes and the adoption of innovations. Journal of the Academy of Marketing Science, 27(3), 306–319.
8. Brown, J. J., & Reingen, P. (1987). Social ties and word–of-mouth referral behavior. Journal of Consumer Research, 13, 350–362.
9. Cecere, G., & Corrocher, N. (2011). The intensity of VoIP usage in Great Britain: Users’ characteristics and firm's strategies. Telecommunications Policy, 35, 522–531.
10. Chaudhuri, A., & Holbrook, M. B. (2001). The chain of effects from brand trust and brand affect to brand performance: The role of brand loyalty. Journal of Marketing, 65(2), 81–93.
11. Childers, T. L., & Rao, R. (1992). The influence of familial and peer-based reference groups. Journal of Consumer Research, 19(2), 198–212.
12. Childers, T. L., Carr, C. L., Peck, J., & Carson, S. (2001). Hedonic and utilitarian motivations for online retail shopping behavior. Journal of Retailing, 77, 511–535.
13. Dabholkar, P. A., & Bagozzi, R. P. (2002). An attitudinal model of technology-based self-service: Moderating effects of consumer traits and situational factors. Journal of the Academy of Marketing Science, 30(3), 184–201.
14. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319–339.
15. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003.
16. De Rango, F., Tropea, M., Fazio, P., & Marano, S. (2006). Overview on VoIP: Subjective and objective measurement methods. International Journal of Computer Science and Network Security, 6(1B), 140–152.
17. Deutsch, M. (1960). The effect of motivational orientation upon trust and suspicion. Human Relations, 13, 123–139.
18. Gatignon, H., & Robertson, T. S. (1985). a propositional inventory for new diffusion research. Journal of Consumer Research, 11(4), 849–867.
19. Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51–90.
20. Godinho de Matos, M., Ferreira, P., & Krackhardt, D. (2014). Peer influence in the diffusion of iPhone 3G over a large social network. MIS Quarterly, 38(4), 1103–1133.
21. Goldsmith, R. E., & Newell, S. J. (1997). Innovativeness and price sensitivity: Managerial, theoretical and methodological issues. Journal of Product and Brand Management, 6(3), 163–174.
22. Granovetter, M. S. (1973). The strength of weak ties. American Journal of Sociology, 78(6), 1360–1380.
23. Gruen, T. W., Osmonbekov, T., & Czaplewski, A. J. (2006). eWOM: The impact of consumer-to-consumer online know-how exchange on customer value and loyalty. Journal of Business Research, 59(4), 449–456.
24. Gundlach, G. T., & Murphy, P. E. (1993). Ethical and legal foundations of relational marketing exchanges. Journal of Marketing, 57(4), 35–46.
25. Hartwick, J. & Barki, H. (1994). Explaining the role of user participation in information system use. Management Science, 40(4), 440–465.
26. Hirschman, E. C. (1980). Innovativeness, novelty seeking and consumer creativity. Journal of Consumer Research, 7, 283–295.
27. Hoeffler, S. (2003). Measuring preferences for really new products. Journal of Marketing Research, 40(4), 406–420.
28. Holak, S. L., & Lehmann, D. R. (1990). Purchase intentions and the dimensions of innovation: An exploratory mode. Journal of Product Innovation Management, 7, 59–73.
29. Im, S., Bayus, B. L., & Mason, C. H. (2003). An empirical study of innate consumer innovativeness, personal characteristics, and new-product adoption behavior. Journal of the Academy of Marketing Science, 31(1), 62–73.
30. Im, S., Mason, C. H., & Houston, M. B. (2007). Does innate consumer innovativeness relate to new product/service adoption behavior? The intervening role of social learning via vicarious innovativeness. Journal of the Academy of Marketing Science, 35(1), 63–75.
31. Ingham, J., Cadieux, J., & Berrada, A. M. (2015). E-shopping acceptance: A qualitative and meta-analytic review. Information & Management, 52, 44–60.
32. Jaccard, J., & Turrisi, R. (2003). Interaction effects in multiple regression (2nd ed.). Thousand Oaks, CA: Sage Publications.
33. Jaiswal, M. P., & Raghav, B. (2004). Cost-quality based consumer perception analysis of Voice over Internet Protocol (VoIP) in India. Internet Research, 14(1), 95–102.
34. Johnson, D. S. (2007). Achieving customer value from electronic channels through identity commitment, calculative commitment, and trust in technology. Journal of Interactive Marketing, 21(4), 2–22.
35. Katona, Z., Zubcsek, P., & Sarvary, M. (2011). Network effects and personal influences: The diffusion of an online social network. Journal of Marketing Research, 48, 425–443.
36. Koller, M. (1988). Risk as a determinant of trust. Basic and Applied Social Psychology, 9(4), 265–276.
37. Kulviwat, S., Bruner, G. C., & Al-Shuridah, O. (2009). The role of social influence on adoption of high tech innovations: The moderating effect of public/private consumption. Journal of Business Research, 62, 706–712.
38. Labay, D. G., & Kinnear, T. C. (1981). Exploring the consumer decision process in the adoption of solar energy systems. Journal of Consumer Research, 8(3), 271–278.
39. Lin, N. (2001). Social capital: A theory of social structure and action. New York, NY: Cambridge University Press.
40. Lovelock, C. H. (1983). Classifying services to gain strategic marketing insights. Journal of Marketing, 47, 9–20.
41. Mahajan, V., Muller, E., & Srivastava, R. (1990). Determination of adopter categories by using innovation diffusion models. Journal of Marketing Research, 27, 37–50.
42. McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). Developing and validating trust measures for e-commerce: An integrative typology. Information System Research, 13(3), 334–359.
43. Midgley, D. F., & Dowling, G. R. (1993). A longitudinal study of product form innovation: The Interaction between predispositions and social messages. Journal of Consumer Research, 19(4), 611–625.
44. Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192–222.
45. Moorman, C., Deshpande, R., & Zaltman, G. (1993). Factors affecting trust in market research relationships. Journal of Bank Marketing, 57(1), 81–101.
46. Morgan, R. M., & Hunt, S. D. (1994). The commitment-trust theory of relationship marketing. Journal of Marketing, 58, 20–38.
47. Murray, K. B. (1991). A test of services marketing theory: Consumer information acquisition activities. Journal of Marketing, 55, 10–25.
48. Nelson, P. J. (1970). Information and consumer behavior. Journal of Political Economy, 78(2), 311–329.
49. Park, N. (2010). Adoption and use of computer-based voice over internet protocol phone service: Toward an integrated model. Journal of Communication, 60, 40–72.
50. 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), 101–134.
51. Pike & Fischer. (2009). A BNA business broadband advisory service report. Silver Spring, MD: Author.
52. Rao, B., Angelov, B., & Nov, O. (2006). Fusion of disruptive technologies: Lessons from the Skype case. European Management Journal, 24(2–3), 174–188.
53. Reinhardt, R., & Gurtner, S. (2015). Differences between early adopters of disruptive and sustaining innovations. Journal of Business Research, 68, 137–145.
54. Risselada, H., Verhoef, P. C., & Bijmolt, T. H. A. (2014). Dynamic effects of social influence and direct marketing on the adoption of high-technology products. Journal of Marketing, 78, 52–68.
55. Rogers, E. M. (1995). Diffusion of innovations. New York, NY: Free Press.
56. Schepers, J., & Wetzels, M. (2007). A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects. Information & Management, 44, 90–103.
57. Shin, D. (2012). What makes consumers use VoIP over mobile phones? Free riding or consumerization of new service. Telecommunications Policy, 36, 311–323.
58. Spekman, R. E. (1988). Strategic supplier selection: Understanding long-term buyer relationships. Business Horizon, 31(4), 75–81.
59. Steenkamp, J. E., Hofstede, F., & Wedel, M. (1999). A cross-national investigation into the individual and national cultural antecedents of consumer innovativeness. Journal of Marketing, 63(2), 55–69.
60. Swan, J. E., & Nolan, J. J. (1985). Gaining customer trust: A conceptual guide for the sales-person. Journal of Personal Selling and Sales Management, 5(2), 39–48.
61. Thompson, R. L., Higgins, C. A, & Howell, J. M. (1991). Personal computing: Towards a conceptual model of utilization. MIS Quarterly, 15(1), 124–143.
62. Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating perceived behavioral control, computer anxiety and enjoyment into the technology acceptance model. Information Systems Research, 11(4), 342–365. doi:10.1287/isre.11.4.342.11872
63. Venkatesh, V., & Davis, V. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 45(2), 186–204.
64. Venkatesh, V., & Morris, M. G. (2000). Why don't men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. Management Information Systems Quarterly, 24(1), 155–139. doi:10.2307/3250981
65. 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.
66. Wang, Q., Dacko, S., & Gad, M. (2008). Factors influencing consumers' evaluation and adoption intention of really-new products or services: Prior knowledge, innovativeness and timing of product evaluation. Advances in Consumer Research—North American Conference Proceedings, 35, 416–422.
67. Werbach, K. (2005). Using VoIP to compete. Harvard Business Review, 48, 140–147.