Domestic Technology Adoption: Comparison of Innovation Adoption Models and Moderators

Human Factors and Ergonomics In Manufacturing

Volumn 26, Issue 2, 2016, Pages 177-190

  Chen, Nai Hua ^a   Huang, Stephen Chi Tsun ^b  

^a CHIENKUO TECHNOLOGY UNIVERSITY   (Taiwan)

^b NATIONAL KAOHSIUNG UNIVERSITY OF APPLIED SCIENCES   (Taiwan)

Author keywords

Innovation adoption; Lead user; Robot; Technology acceptance model (TAM); Theory of planned behaviour (TPB); Theory of reasoned action (TRA)

Indexed keywords

ALGORITHMS; BEHAVIORAL RESEARCH; CLEANING; COMPENSATION (PERSONNEL); ROBOTS; WAGES;

INNOVATION ADOPTION; LEAD USERS; TECHNOLOGY ACCEPTANCE MODEL; THEORY OF PLANNED BEHAVIOUR; THEORY OF REASONED ACTION;

CONSUMER BEHAVIOR;

EID: 84960116737     PISSN: 10908471     EISSN: 15206564     Source Type: Journal    
DOI: 10.1002/hfm.20621     Document Type: Article

References (70)

1. Adams, D. A., Nelson, R. R., &, Todd, P. A., (1992). Perceived usefulness, ease of use, and usage of information technology: A replication. MIS Quarterly, 16, 227-247.
2. Ajzen, I., (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50 (2), 179-211.
3. Ajzen, I., (2011). The theory of planned behaviour: Reactions and reflections. Psychology & Health, 26 (9), 1113-1127.
4. Ajzen, I., &, Madden, T. J., (1986). Prediction of goal-directed behavior: Attitudes, intentions, and perceived behavioral control. Journal of Experimental Social Psychology, 22 (5), 453-474.
5. Alden, D. L., Steenkamp, J.-B. E., &, Batra, R., (2006). Consumer attitudes toward marketplace globalization: Structure, antecedents and consequences. International Journal of Research in Marketing, 23 (3), 227-239.
6. Anderson, J. C., &, Gerbing, D. W., (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103 (3), 411.
7. Armstrong, J. S., &, Overton, T. S., (1977). Estimating nonresponse bias in mail surveys. Journal of Marketing Research, 14, 396-402.
8. Bagozzi, R. P., &, Yi, Y., (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16 (1), 74-94.
9. Bozionelos, N., (2004). Socio-economic background and computer use: The role of computer anxiety and computer experience in their relationship. International Journal of Human-Computer Studies, 61 (5), 725-746.
10. Ceccarelli, M., (2012). Service robots and robotics: Design and application. Hershey, PA: IGI Global.
11. Chen, C.-W., Shen, C.-C., &, Chiu, W.-Y., (2007). Marketing communication strategies in support of product launch: An empirical study of Taiwanese high-tech firms. Industrial Marketing Management, 36 (8), 1046-1056.
12. Choi, G., &, Chung, H., (2013). Applying the technology acceptance model to social networking sites (SNS): Impact of subjective norm and social capital on the acceptance of SNS. International Journal of Human-Computer Interaction, 29 (10), 619-628.
13. Cleveland, M., Papadopoulos, N., &, Laroche, M., (2011). Identity, demographics, and consumer behaviors: International market segmentation across product categories. International Marketing Review, 28 (3), 244-266.
14. Davis, F. D., (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319-340.
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. Deci, E. L., &, Ryan, R. M., (2000). The "what" and "why" of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11 (4), 227-268.
17. Der-karabetian, A., &, Ruiz, Y., (1997). Affective bicultural and global-human identity scales for Mexican-American adolescents. Psychological Reports, 80 (3), 1027-1039.
18. Doukas, C., Metsis, V., Becker, E., Le, Z., Makedon, F., &, Maglogiannis, I., (2011). Digital cities of the future: Extending@ home assistive technologies for the elderly and the disabled. Telematics and Informatics, 28 (3), 176-190.
19. Economist (2005). Japan's humanoid robots: Better than people. Economist, Dec.20th. Tokyo (accessible at http://www.economist.com/node/5323427)
20. Fishbein, M., &, Ajzen, I., (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
21. Fishbein, M., &, Ajzen, I., (2010). Prediction and change of behavior: The reasoned action approach. New York, NY: Psychology Press.
22. Fornell, C., &, Bookstein, F. L., (1982). Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research, 19 (4), 440-452.
23. Fornell, C., &, Larcker, D. F., (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 39-50.
24. Fu, F. Q., Richards, K. A., Hughes, D. E., &, Jones, E., (2010). Motivating salespeople to sell new products: The relative influence of attitudes, subjective norms, and self-efficacy. Journal of Marketing, 74 (6), 61-76.
25. Gates, B., (2007). A robot in every home. Scientific American, 296 (1), 58-65.
26. Gentry, L., &, Calantone, R., (2002). A comparison of three models to explain shop bot use on the web. Psychology & Marketing, 19 (11), 945-956.
27. Hair, J. F., Ringle, C. M., &, Sarstedt, M., (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19 (2), 139-152.
28. Hair, J. F., Sarstedt, M., Ringle, C. M., &, Mena, J. A., (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40 (3), 414-433.
29. Hassan, S. S., &, Katsanis, L. P., (1994). Global market segmentation strategies and trends. In, S. S. Hassan, &, E. Kaynak, (Eds.), Globalization of consumer markets: Structures and strategies (pp. 47-62). Binghamton, NY: Howarth Press.
30. Hauser, J., Tellis, G. J., &, Griffin, A., (2006). Research on innovation: A review and agenda for marketing science. Marketing Science, 25 (6), 687-717.
31. Homburg, C., Wieseke, J., &, Kuehnl, C., (2010). Social influence on salespeople's adoption of sales technology: A multilevel analysis. Journal of the Academy of Marketing Science, 38 (2), 159-168.
32. Katz, M. L., &, Shapiro, C., (1986). Technology adoption in the presence of network externalities. Journal of Political Economy, 94, 822-841.
33. Lee, D. Y., &, Ryu, H., (2013). Learner acceptance of a multimedia-based learning system. International Journal of Human-Computer Interaction, 29 (6), 419-437.
34. Lee, W. -I., Chiu, Y. T., Liu, C.-C., &, Chen, C.-Y., (2011). Assessing the effects of consumer involvement and service quality in a self service setting. Human Factors and Ergonomics in Manufacturing & Service Industries, 21 (5), 504-515.
35. Lee, Y., &, O'Connor, G. C., (2003). New product launch strategy for network effects products. Journal of the Academy of Marketing Science, 31 (3), 241-255.
36. Legris, P., Ingham, J., &, Collerette, P., (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40 (3), 191-204.
37. Mangold, W. G., &, Faulds, D. J., (2009). Social media: The new hybrid element of the promotion mix. Business Horizons, 52 (4), 357-365.
38. Marchi, G., Giachetti, C., &, de Gennaro, P., (2011). Extending lead-user theory to online brand communities: The case of the community Ducati. Technovation, 31 (8), 350-361.
39. Meuter, M. L., Bitner, M. J., Ostrom, A. L., &, Brown, S. W., (2005). Choosing among alternative service delivery modes: An investigation of customer trial of self-service technologies. Journal of Marketing, 69 (2), 61-83.
40. Morris, M. G., &, Venkatesh, V., (2000). Age differences in technology adoption decisions: Implications for a changing work force. Personnel psychology, 53 (2), 375-403.
41. Morrison, P. D., Roberts, J. H., &, Midgley, D. F., (2004). The nature of lead users and measurement of leading edge status. Research Policy, 33 (2), 351-362.
42. Nakata, C., &, Weidner, K., (2012). Enhancing new product adoption at the base of the pyramid: A contextualized model. Journal of Product Innovation Management, 29 (1), 21-32.
43. Nysveen, H., Pedersen, P. E., &, Thorbjørnsen, H., (2005). Explaining intention to use mobile chat services: moderating effects of gender. Journal of Consumer Marketing, 22 (5), 247-256.
44. Ong, C.-S., &, Lai, J.-Y., (2006). Gender differences in perceptions and relationships among dominants of e-learning acceptance. Computers in Human Behavior, 22 (5), 816-829.
45. Ozer, M., (2009). The roles of product lead-users and product experts in new product evaluation. Research Policy, 38 (8), 1340-1349.
46. Pagani, M., (2004). Determinants of adoption of third generation mobile multimedia services. Journal of Interactive Marketing, 18 (3), 46-59.
47. Pavlou, P. A., &, El Sawy, O. A., (2006). From IT leveraging competence to competitive advantage in turbulent environments: The case of new product development. Information Systems Research, 17 (3), 198-227.
48. Podsakoff, P. M., &, Organ, D. W., (1986). Self-reports in organizational research: Problems and prospects. Journal of Management, 12 (4), 531-544.
49. Ringle, C. M., Sarstedt, M., &, Straub, D. W., (2012). A critical look at the use of PLS-SEM in MIS Quarterly. MIS Quarterly, 36, iii-xiv.
50. Ringle, C. M., Wende, S., &, Will, S., (2005). SmartPLS 2.0 (M3) Beta, Hamburg.
51. Rogers, E. M., (2003). The diffusion of innovation (5th ed.). New York, NY: Free Press.
52. Sauer, P. L., &, Dick, A., (1993). Using moderator variables in structural equation models. Advances in Consumer Research, 20 (1), 637-640.
53. Schepers, J., &, Wetzels, M., (2007). A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects. Information & Management, 44 (1), 90-103.
54. Scopelliti, M., Giuliani, M. V., &, Fornara, F., (2005). Robots in a domestic setting: A psychological approach. Universal Access in the Information Society, 4 (2), 146-155.
55. Sheppard, B. H., Hartwick, J., &, Warshaw, P. R., (1988). The theory of reasoned action: A meta-analysis of past research with recommendations for modifications and future research. Journal of Consumer Research, 15, 325-343.
56. Shih, D.-H., Hsu, S.-F., Yen, D. C., &, Lin, C.-C., (2012). Exploring the individual's behavior on self-disclosure online. International Journal of Human-Computer Interaction, 28 (10), 627-645.
57. Shin, D.-H., (2007). User acceptance of mobile Internet: Implication for convergence technologies. Interacting with Computers, 19 (4), 472-483.
58. Song, M., Parry, M. E., &, Kawakami, T., (2009). Incorporating network externalities into the technology acceptance model. Journal of Product Innovation Management, 26 (3), 291-307.
59. Taylor, J. W., (1974). The role of risk in consumer behavior. Journal of Marketing, 38, 54-60.
60. Taylor, S., &, Todd, P., (1995). 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.
61. Tenenhaus, M., Vinzi, V. E., Chatelin, Y. M., &, Lauro, C., (2005). PLS path modeling. Computational Statistics & Data Analysis, 48 (1), 159-205.
62. Teo, T., &, van Schaik, P., (2012). Understanding the intention to use technology by preservice teachers: An empirical test of competing theoretical models. International Journal of Human-Computer Interaction, 28 (3), 178-188.
63. Thorbjørnsen, H., Pedersen, P. E., &, Nysveen, H., (2007). " This is who I am": Identity expressiveness and the theory of planned behavior. Psychology & Marketing, 24 (9), 763-785.
64. Turel, O., Serenko, A., &, Bontis, N., (2010). User acceptance of hedonic digital artifacts: A theory of consumption values perspective. Information & Management, 47 (1), 53-59.
65. Venkatesh, V., &, Davis, F. D., (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46 (2), 186-204.
66. 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. MIS Quarterly, 24, 115-139.
67. Von, Hippel, E,. (1986). Lead users: A source of novel product concepts. Management Science, 32 (7), 791-805.
68. Westjohn, S. A., Arnold, M. J., Magnusson, P., Zdravkovic, S., &, Zhou, J. X., (2009). Technology readiness and usage: A global-identity perspective. Journal of the Academy of Marketing Science, 37 (3), 250-265.
69. Wetzels, M., Odekerken-Schroder, G., &, Van Oppen, C., (2009). Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration. Management Information Systems Quarterly, 33 (1), 177-195.
70. Young, J. E., Hawkins, R., Sharlin, E., &, Igarashi, T., (2009). Toward acceptable domestic robots: Applying insights from social psychology. International Journal of Social Robotics, 1 (1), 95-108.