KEY FACTORS INFLUENCING USERS' INTENTIONS OF ADOPTING RENEWABLE ENERGY TECHNOLOGIES

In last 30 years, the usage of Power had grown highly in developed and developing countries. The storage of petroleum has decreased in recent years. OPEC (Organization of Petroleum Exporting Countries) estimated the storage of oil will be used out in the end of century, In addition, the globe warming erode constantly. How to make good use of Renewable Energy is an urgent issue. The purpose of this research is to analyze the key factors that affect users’ intentions of adopting renewable energy technologies. The research was based on TRA, TAM and Roger’s Diffusion of Innovation. It helps us to figure out acceptance model and influencing factors. The result of the research could be used not only for promoting the adoption of renewable energy technologies, but also for providing insights to government institution. This study interviews 273 persons to comprehend their attitude and behavior about renewable energy technologies. These results reinforce some of the past findings of technology diffusion, renewable energy implementation, and partner relationship literatures. Therefore, to ensure effective renewable energy technology diffusion, technology promoter and policy maker need to ensure not only that appropriate technology is considered and adopted, but also that the person’s attitude and new environmental changes.

[1]  F. Damanpour Organizational Size and Innovation , 1992 .

[2]  Mark S. Granovetter,et al.  Threshold models of diffusion and collective behavior , 1983 .

[3]  Robert W. Zmud,et al.  Behavioral Intention Formation in Knowledge Sharing: Examining the Roles of Extrinsic Motivators, Social-Psychological Factors, and Organizational Climate , 2005, MIS Q..

[4]  Young-Gul Kim,et al.  Extending the TAM for a World-Wide-Web context , 2000, Inf. Manag..

[5]  Susan K. Lippert,et al.  Cultural Effects on Technology Performance and Utilization: A Comparison of U.S. and Canadian Users , 2007, J. Glob. Inf. Manag..

[6]  Wynne W. Chin,et al.  Adoption intention in GSS: relative importance of beliefs , 1995, DATB.

[7]  Barbara Wejnert Integrating models of diffusion of innovations: a Conceptual Framework. , 2002 .

[8]  Fred D. Davis A technology acceptance model for empirically testing new end-user information systems : theory and results , 1985 .

[9]  Detmar W. Straub,et al.  Gender Differences in the Perception and Use of E-Mail: An Extension to the Technology Acceptance Model , 1997, MIS Q..

[10]  G. Hofstede Culture′s Consequences: Comparing Values, Behaviors, Institutions and Organizations Across Nations , 2001 .

[11]  Hung-Pin Shih,et al.  An empirical study on predicting user acceptance of e-shopping on the Web , 2004, Inf. Manag..

[12]  Thiagarajan Ravichandran,et al.  Swiftness and Intensity of Administrative Innovation Adoption: An Empirical Study of TQM in Information Systems , 2000, Decis. Sci..

[13]  Chin-Lung Hsu,et al.  Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation , 2008, Inf. Manag..

[14]  E. Carayannis,et al.  Is technological learning a firm core competence, when, how and why? A longitudinal, multi-industry study of firm technological learning and market performance , 2002 .

[15]  David J. Paper,et al.  User Acceptance of Voice Recognition Technology: An Empirical Extension of the Technology Acceptance Model , 2007, J. Organ. End User Comput..

[16]  Julian Ming-Sung Cheng,et al.  Consumer acceptance of the internet as a channel of distribution in Taiwan—a channel function perspective , 2006 .

[17]  Albert L. Lederer,et al.  The technology acceptance model and the World Wide Web , 2000, Decis. Support Syst..

[18]  David Gefen,et al.  TAM or Just Plain Habit: A Look at Experienced Online Shoppers , 2003, J. Organ. End User Comput..

[19]  Raghu Garud,et al.  The innovation journey , 1999 .

[20]  Staffan Jacobsson,et al.  The diffusion of renewable energy technology: an analytical framework and key issues for research , 2000 .

[21]  Leiser Silva,et al.  Post-positivist Review of Technology Acceptance Model , 2007, J. Assoc. Inf. Syst..

[22]  L. Burns,et al.  Adoption and abandonment of matrix management programs: effects of organizational characteristics and interorganizational networks. , 1993, Academy of Management journal. Academy of Management.

[23]  Kar Yan Tam,et al.  Determinants of User Acceptance of Digital Libraries: An Empirical Examination of Individual Differences and System Characteristics , 2002, J. Manag. Inf. Syst..

[24]  Ing-Long Wu,et al.  Understanding senior management's behavior in promoting the strategic role of IT in process reengineering: use of the theory of reasoned action , 2003, Inf. Manag..

[25]  Joseph J. Martocchio,et al.  Microcomputer playfulness: development of a measure with workplace implications , 1992 .

[26]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[27]  Jerry C. Olson,et al.  Consumer Behavior and Marketing Strategy , 1990 .

[28]  M. A. Quaddus,et al.  Exploring the Factors Influencing End Users' Acceptance of Knowledge Management Systems: Development of a Research Model of Adoption and Continued Use , 2007, J. Organ. End User Comput..

[29]  Jae-Nam Lee,et al.  Understanding outsourcing partnership: a comparison of three theoretical perspectives , 2005, IEEE Trans. Engineering Management.

[30]  Hugh M. O'Neill,et al.  Patterns in the Diffusion of Strategies Across Organizations: Insights from the Innovation Diffusion Literature , 1998 .

[31]  Victor R. Prybutok,et al.  An empirical study of online shopping: a service perspective , 2004, Int. J. Serv. Technol. Manag..

[32]  Charles D. Barrett Understanding Attitudes and Predicting Social Behavior , 1980 .

[33]  Magid Igbaria,et al.  Personal Computing Acceptance Factors in Small Firms: A Structural Equation Model , 1997, MIS Q..

[34]  Eric C. Turner,et al.  Innovation diffusion and technology acceptance: The case of PKI technology , 2006 .

[35]  Elias G. Carayannis,et al.  The strategic management of technological learning in project/program management: the role of extranets, intranets and intelligent agents in knowledge generation, diffusion, and leveraging , 1998 .

[36]  Wu,et al.  Determinants of Internet Shopping Behavior: An Application of Reasoned Behaviour Theory , 2007 .

[37]  Rosabeth Moss Kanter,et al.  When a Thousand Flowers Bloom: Structural, Collective, and Social Conditions for Innovation in Organization , 2000 .

[38]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[39]  Jason Bennett Thatcher,et al.  Moving Beyond Intentions and Toward the Theory of Trying: Effects of Work Environment and Gender on Post-Adoption Information Technology Use , 2005, MIS Q..