群眾募資由2006年Howe於《連線》雜誌所提出的群眾外包概念而來，並在2008年美國知名群眾募資網站Indiegogo正式上線後，吸引了全球眾人的目光且以飛快地速度成長。此種新穎資金募集方式，不僅協助新創企業突破營運初期的財務危機，也可從平台上獲取消費者的意見回饋，藉以改善產品及服務的內容。拜互聯網服務的無遠弗屆性所賜，群眾募資風氣迅速在世界各地竄紅，目前全球以歐美國家因發展較早，所以已累積大量成功募資案例，且範圍涵蓋各種領域，而亞洲國家則以中國大陸的群眾募資發展規模最為龐大，成長力道也最為迅速。
台灣第一個群眾募資平台於2011年正式上線，至今已營運四年，且陸續有新平台成立，但無論規模、媒體關注度及社會大眾知曉程度都遠遠不及於外國市場現況。除產業界發展較為緩慢外，國內學術界對於群眾募資的研究也甚少，至今並未出現以群眾角度探討出資意願影響因素的研究。有鑑於此，本研究遂以群眾角度出發，探討社會大眾於群眾募資平台出資意願之影響因素。
本研究以延伸價值意向框架為基礎，結合科技接受模型中變項，並參考過去針對新創科技影響因素之文獻，發展為本研究之研究架構，目的為探討以下三個問題：一、瞭解社會大眾於群眾募資平台出資意圖之影響因素；二、瞭解認知利益、認知犧牲與個人創新性對認知價值與出資意圖的影響；三、驗證延伸價值意向框架應用於創新科技的解釋能力，如群眾募資。
本研究結果發現，認知有用性、認知價格、認知有趣性、個人創新性對於個人認知價值有顯著影響，且認知價值會正向影響出資意圖。希望藉由本研究結果，找出群眾募資出資意願影響因素，並提供其分析給業者及政府單位，進而改善台灣群眾募資的市場現況。

Crowdfunding comes from the concept of crowdsourcing, which was first proposed by Jeff Howe on Weird magazine in 2008. Since Indiegogo launched in 2008, the number of crowdfunding websites have blooming beyond everyone’s anticipate and still grown in rapid speed. Crowdfunding, a whole new way of fund raising, not only help SME and new ventures handling the financial issues, but also reaching the real consumers on the market. Due to the early development of crowdfunding, United States and Europe are now the leading country in crowdfunding field in the world, and have accumulated lots of successful cases. In Asia, China is the most successful country so far.
The first crowdfunding website in Taiwan lunched in 2011, but till now the industry scale and development are far from Unite States and Europe. We are also lack of relevant research about what kind of characteristics will influence the intention of participating in crowdfunding on websites. Therefore, this study used extend value-intention framework combined with TAM, aimed to realize the influence factors of crowdfunding and how perceived benefits, perceived sacrifice influence the perceived value and the intention of investment in crowdfunding. At Last, develop an effective model which can be used for innovative technology service like crowdfunding.
The study found that perceived usefulness, perceived playfulness, perceived price and personal innovativeness have significantly impact on perceived value and investment intention.

Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.
Belleflamme, P., Lambert, T., & Schwienbacher, A. (2014). Crowdfunding: Tapping the right crowd. Journal of Business Venturing, 29(5), 585-609.
Beugré, C. D., & Das, N. (2013). Limited Capital and New Venture Creation in Emerging Economies: a Model of Crowd-Capitalism. SAM Advanced Management Journal, 78(3), 21.
Brabham, D. C. (2008). Crowdsourcing as a model for problem solving an introduction and cases. Convergence: the international journal of research into new media technologies, 14(1), 75-90.
Bradford, C. S. (2012). Crowdfunding and the federal securities laws. Columbia Business Law Review, 2012(1).
Casamatta, C., & Haritchabalet, C. (2014). Dealing with venture capitalists: shopping around or exclusive negotiation. Review of Finance, 18(5), 1743-1773.
Cassar, G. (2004). The financing of business start-ups. Journal of Business Venturing, 19(2), 261-283.
Chen, X.-P., Yao, X., & Kotha, S. (2009). Entrepreneur passion and preparedness in business plan presentations: a persuasion analysis of venture capitalists' funding decisions. Academy of Management Journal, 52(1), 199-214.
Chen, Z., & Dubinsky, A. J. (2003). A conceptual model of perceived customer value in e‐commerce: A preliminary investigation. Psychology & Marketing, 20(4), 323-347.
Cheung, C. M., Chiu, P.-Y., & Lee, M. K. (2011). Online social networks: Why do students use facebook? Computers in Human Behavior, 27(4), 1337-1343.
Chiao, Y.-C. (2001). An integrated model for the effects of perceived product, perceived service quality, and perceived price fairness on consumer satisfaction and loyalty.
Chin, W. W., & Gopal, A. (1995). Adoption intention in GSS: relative importance of beliefs. ACM SigMIS Database, 26(2-3), 42-64.
Chu, C.-w. (2007). STUDIES OF CONSUMERS'ADOPTION BEHAVIOR IN ONLINE CONTENT SERVICES.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace1. Journal of applied social psychology, 22(14), 1111-1132.
Deci, E. L., & Ryan, R. M. (1987). The support of autonomy and the control of behavior. Journal of personality and social psychology, 53(6), 1024.
Doan, A., Ramakrishnan, R., & Halevy, A. Y. (2011). Crowdsourcing systems on the world-wide web. Communications of the ACM, 54(4), 86-96.
Dodds, W. B., & Monroe, K. B. (1985). The effect of brand and price information on subjective product evaluations. Advances in consumer research, 12(1), 85-90.
Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers' product evaluations. Journal of marketing Research, 307-319.
Estellés-Arolas, E., & González-Ladrón-de-Guevara, F. (2012). Towards an integrated crowdsourcing definition. Journal of Information science, 38(2), 189-200.
Faiers, A., & Neame, C. (2006). Consumer attitudes towards domestic solar power systems. Energy Policy, 34(14), 1797-1806.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research.
Gerber, E. M., Hui, J. S., & Kuo, P.-Y. (2012). Crowdfunding: Why people are motivated to post and fund projects on crowdfunding platforms. Paper presented at the Proceedings of the International Workshop on Design, Influence, and Social Technologies: Techniques, Impacts and Ethics.
Griffin, Z. J. (2012). Crowdfunding: fleecing the American masses. Case W. Res. JL Tech. & Internet, 4, 375.
Hellmann, T. (2007). Entrepreneurs and the process of obtaining resources. Journal of Economics & Management Strategy, 16(1), 81-109.
Heslop, L. A., & Marshall, J. (1990). Prise de décision jointe chez les couples âgés: un schéma d'étude. Recherche et Applications en Marketing, 5(3), 27-52.
Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: conceptual foundations. The Journal of Marketing, 50-68.
Horton, J. J., & Chilton, L. B. (2010). The labor economics of paid crowdsourcing. Paper presented at the Proceedings of the 11th ACM conference on Electronic commerce.
Howe, J. (2006). The rise of crowdsourcing. Wired magazine, 14(6), 1-4.
Huili, Y., & Yaodong, Z. (2014). Research on Influence Factors of Crowdfunding. International Business and Management, 9(2).
Hung, S.-Y., Ku, C.-Y., & Chang, C.-M. (2003). Critical factors of WAP services adoption: an empirical study. Electronic Commerce Research and Applications, 2(1), 42-60.
Igbaria, M., Zinatelli, N., Cragg, P., & Cavaye, A. L. (1997). Personal computing acceptance factors in small firms: a structural equation model. MIS quarterly, 279-305.
Jin, X., Zhou, Y., & Mobasher, B. (2004). Web usage mining based on probabilistic latent semantic analysis. Paper presented at the Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining.
Johnson, R. A., & Hignite, M. A. (2000). Applying the technology acceptance model to the WWW. Academy of Information and Management Sciences Journal, 3(2), 130-142.
Kamel Boulos, M. N., & Wheeler, S. (2007). The emerging Web 2.0 social software: an enabling suite of sociable technologies in health and health care education1. Health Information & Libraries Journal, 24(1), 2-23.
Kappel, T. (2008). Ex ante crowdfunding and the recording industry: A model for the US. Loy. LA Ent. L. Rev., 29, 375.
Kleemann, F., Voß, G. G., & Rieder, K. (2008). Un (der) paid innovators.
Kshetri, N. (2015). Success of Crowd-based Online Technology in Fundraising: An Institutional Perspective. Journal of International Management, 21(2), 100-116.
Kunze, O., & Mai, L.-W. (2007). Consumer adoption of online music services: The influence of perceived risks and risk-relief strategies. International Journal of Retail & Distribution Management, 35(11), 862-877.
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, 25(1), 103-110.
Lai, V. S., & Li, H. (2005). Technology acceptance model for internet banking: an invariance analysis. Information & Management, 42(2), 373-386.
Lam, S. Y., Shankar, V., Erramilli, M. K., & Murthy, B. (2004). Customer value, satisfaction, loyalty, and switching costs: an illustration from a business-to-business service context. Journal of the Academy of Marketing Science, 32(3), 293-311.
Lee, D. Y., & Lehto, M. R. (2013). User acceptance of YouTube for procedural learning: An extension of the Technology Acceptance Model. Computers & Education, 61, 193-208.
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.
Lehner, O. M. (2012). A literature review and research agenda for crowdfunding of social ventures. Paper presented at the Research Colloquium on Social Entrepreneurship, University of Oxford, Skoll Center of SAID Business School.
Lichtenstein, D. R., Ridgway, N. M., & Netemeyer, R. G. (1993). Price perceptions and consumer shopping behavior: a field study. Journal of marketing Research, 234-245.
Liu, C., & Forsythe, S. (2011). Examining drivers of online purchase intensity: Moderating role of adoption duration in sustaining post-adoption online shopping. Journal of Retailing and Consumer Services, 18(1), 101-109.
Luarn, P., & Lin, H.-H. (2005). Toward an understanding of the behavioral intention to use mobile banking. Computers in Human Behavior, 21(6), 873-891.
McGrath, J. E., & Kelly, J. R. (1986). Time and human interaction: Toward a social psychology of time: Guilford Press.
Mollick, E. (2014). The dynamics of crowdfunding: An exploratory study. Journal of Business Venturing, 29(1), 1-16.
Morris, M. G., & Dillon, A. (1997). How user perceptions influence software use. IEEE software, 14(4), 58-65.
Nov, O. (2007). What motivates wikipedians? Communications of the ACM, 50(11), 60-64.
O'reilly, T. (2007). What is Web 2.0: Design patterns and business models for the next generation of software. Communications & strategies(1), 17.
Park, N., Rhoads, M., Hou, J., & Lee, K. M. (2014). Understanding the acceptance of teleconferencing systems among employees: An extension of the technology acceptance model. Computers in Human Behavior, 39, 118-127.
Rao, A. R., & Monroe, K. B. (1989). The effect of price, brand name, and store name on buyers' perceptions of product quality: An integrative review. Journal of marketing Research, 351-357.
Reichwald, R., & Piller, F. (2006). Interaktive Wertschöpfung. Open Innovation, Individualisierung und neue Formen der Arbeitsteilung, Wiesbaden.
Rogers, E. M. (2010). Diffusion of innovations: Simon and Schuster.
Rogers, E. M., & Shoemaker, F. F. (1971). Communication of Innovations; A Cross-Cultural Approach.
Sandelancls, L. E., & Buckner, G. C. (1989). Of art and work: Aesthetic experience and the psychology of work feelings. Research in organizational behavior, 100.
Starbuck, W. H., & Webster, J. (1991). When is play productive? Accounting, Management and Information Technologies, 1(1), 71-90.
Steenkamp, J.-B. E. (1990). Conceptual model of the quality perception process. Journal of Business research, 21(4), 309-333.
Tam, J. L. (2004). Customer satisfaction, service quality and perceived value: an integrative model. Journal of marketing management, 20(7-8), 897-917.
Udoh, E. (2012). Technology acceptance model applied to the adoption of grid and cloud technology. International Journal of Grid and High Performance Computing (IJGHPC), 4(1), 1-20.
Valanciene, L., & Jegeleviciute, S. (2013). Valuation of crowdfunding: benefits and drawbacks. Economics and Management, 18(1), 39-48.
Van der Heijden, H. (2003). Factors influencing the usage of websites: the case of a generic portal in The Netherlands. Information & Management, 40(6), 541-549.
Van der Heijden, H. (2004). User acceptance of hedonic information systems. MIS quarterly, 695-704.
Van der Heijden, H., Verhagen, T., & Creemers, M. (2003). Understanding online purchase intentions: contributions from technology and trust perspectives. European journal of information systems, 12(1), 41-48.
Varki, S., & Colgate, M. (2001). The role of price perceptions in an integrated model of behavioral intentions. Journal of Service Research, 3(3), 232-240.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.
Yang, K., Li, X., Kim, H., & Kim, Y. H. (2015). Social shopping website quality attributes increasing consumer participation, positive eWOM, and co-shopping: The reciprocating role of participation. Journal of Retailing and Consumer Services, 24, 1-9.
Yang, K. C. (2005). Exploring factors affecting the adoption of mobile commerce in Singapore. Telematics and informatics, 22(3), 257-277.
Yang, Z., & Peterson, R. T. (2004). Customer perceived value, satisfaction, and loyalty: The role of switching costs. Psychology & Marketing, 21(10), 799-822.
Yoon, C. (2009). The effects of national culture values on consumer acceptance of e-commerce: Online shoppers in China. Information & Management, 46(5), 294-301.
Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. The Journal of Marketing, 2-22.
Zheng, H., Li, D., Wu, J., & Xu, Y. (2014). The role of multidimensional social capital in crowdfunding: A comparative study in China and US. Information & Management, 51(4), 488-496.
Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.
Belleflamme, P., Lambert, T., & Schwienbacher, A. (2014). Crowdfunding: Tapping the right crowd. Journal of Business Venturing, 29(5), 585-609.
Beugré, C. D., & Das, N. (2013). Limited Capital and New Venture Creation in Emerging Economies: a Model of Crowd-Capitalism. SAM Advanced Management Journal, 78(3), 21.
Brabham, D. C. (2008). Crowdsourcing as a model for problem solving an introduction and cases. Convergence: the international journal of research into new media technologies, 14(1), 75-90.
Bradford, C. S. (2012). Crowdfunding and the federal securities laws. Columbia Business Law Review, 2012(1).
Casamatta, C., & Haritchabalet, C. (2014). Dealing with venture capitalists: shopping around or exclusive negotiation. Review of Finance, 18(5), 1743-1773.
Cassar, G. (2004). The financing of business start-ups. Journal of Business Venturing, 19(2), 261-283.
Chen, X.-P., Yao, X., & Kotha, S. (2009). Entrepreneur passion and preparedness in business plan presentations: a persuasion analysis of venture capitalists' funding decisions. Academy of Management Journal, 52(1), 199-214.
Chen, Z., & Dubinsky, A. J. (2003). A conceptual model of perceived customer value in e‐commerce: A preliminary investigation. Psychology & Marketing, 20(4), 323-347.
Cheung, C. M., Chiu, P.-Y., & Lee, M. K. (2011). Online social networks: Why do students use facebook? Computers in Human Behavior, 27(4), 1337-1343.
Chiao, Y.-C. (2001). An integrated model for the effects of perceived product, perceived service quality, and perceived price fairness on consumer satisfaction and loyalty.
Chin, W. W., & Gopal, A. (1995). Adoption intention in GSS: relative importance of beliefs. ACM SigMIS Database, 26(2-3), 42-64.
Chu, C.-w. (2007). STUDIES OF CONSUMERS'ADOPTION BEHAVIOR IN ONLINE CONTENT SERVICES.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace1. Journal of applied social psychology, 22(14), 1111-1132.
Deci, E. L., & Ryan, R. M. (1987). The support of autonomy and the control of behavior. Journal of personality and social psychology, 53(6), 1024.
Doan, A., Ramakrishnan, R., & Halevy, A. Y. (2011). Crowdsourcing systems on the world-wide web. Communications of the ACM, 54(4), 86-96.
Dodds, W. B., & Monroe, K. B. (1985). The effect of brand and price information on subjective product evaluations. Advances in consumer research, 12(1), 85-90.
Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers' product evaluations. Journal of marketing Research, 307-319.
Estellés-Arolas, E., & González-Ladrón-de-Guevara, F. (2012). Towards an integrated crowdsourcing definition. Journal of Information science, 38(2), 189-200.
Faiers, A., & Neame, C. (2006). Consumer attitudes towards domestic solar power systems. Energy Policy, 34(14), 1797-1806.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research.
Gerber, E. M., Hui, J. S., & Kuo, P.-Y. (2012). Crowdfunding: Why people are motivated to post and fund projects on crowdfunding platforms. Paper presented at the Proceedings of the International Workshop on Design, Influence, and Social Technologies: Techniques, Impacts and Ethics.
Griffin, Z. J. (2012). Crowdfunding: fleecing the American masses. Case W. Res. JL Tech. & Internet, 4, 375.
Hellmann, T. (2007). Entrepreneurs and the process of obtaining resources. Journal of Economics & Management Strategy, 16(1), 81-109.
Heslop, L. A., & Marshall, J. (1990). Prise de décision jointe chez les couples âgés: un schéma d'étude. Recherche et Applications en Marketing, 5(3), 27-52.
Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: conceptual foundations. The Journal of Marketing, 50-68.
Horton, J. J., & Chilton, L. B. (2010). The labor economics of paid crowdsourcing. Paper presented at the Proceedings of the 11th ACM conference on Electronic commerce.
Howe, J. (2006). The rise of crowdsourcing. Wired magazine, 14(6), 1-4.
Huili, Y., & Yaodong, Z. (2014). Research on Influence Factors of Crowdfunding. International Business and Management, 9(2).
Hung, S.-Y., Ku, C.-Y., & Chang, C.-M. (2003). Critical factors of WAP services adoption: an empirical study. Electronic Commerce Research and Applications, 2(1), 42-60.
Igbaria, M., Zinatelli, N., Cragg, P., & Cavaye, A. L. (1997). Personal computing acceptance factors in small firms: a structural equation model. MIS quarterly, 279-305.
Jin, X., Zhou, Y., & Mobasher, B. (2004). Web usage mining based on probabilistic latent semantic analysis. Paper presented at the Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining.
Johnson, R. A., & Hignite, M. A. (2000). Applying the technology acceptance model to the WWW. Academy of Information and Management Sciences Journal, 3(2), 130-142.
Kamel Boulos, M. N., & Wheeler, S. (2007). The emerging Web 2.0 social software: an enabling suite of sociable technologies in health and health care education1. Health Information & Libraries Journal, 24(1), 2-23.
Kappel, T. (2008). Ex ante crowdfunding and the recording industry: A model for the US. Loy. LA Ent. L. Rev., 29, 375.
Kleemann, F., Voß, G. G., & Rieder, K. (2008). Un (der) paid innovators.
Kshetri, N. (2015). Success of Crowd-based Online Technology in Fundraising: An Institutional Perspective. Journal of International Management, 21(2), 100-116.
Kunze, O., & Mai, L.-W. (2007). Consumer adoption of online music services: The influence of perceived risks and risk-relief strategies. International Journal of Retail & Distribution Management, 35(11), 862-877.
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, 25(1), 103-110.
Lai, V. S., & Li, H. (2005). Technology acceptance model for internet banking: an invariance analysis. Information & Management, 42(2), 373-386.
Lam, S. Y., Shankar, V., Erramilli, M. K., & Murthy, B. (2004). Customer value, satisfaction, loyalty, and switching costs: an illustration from a business-to-business service context. Journal of the Academy of Marketing Science, 32(3), 293-311.
Lee, D. Y., & Lehto, M. R. (2013). User acceptance of YouTube for procedural learning: An extension of the Technology Acceptance Model. Computers & Education, 61, 193-208.
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.
Lehner, O. M. (2012). A literature review and research agenda for crowdfunding of social ventures. Paper presented at the Research Colloquium on Social Entrepreneurship, University of Oxford, Skoll Center of SAID Business School.
Lichtenstein, D. R., Ridgway, N. M., & Netemeyer, R. G. (1993). Price perceptions and consumer shopping behavior: a field study. Journal of marketing Research, 234-245.
Liu, C., & Forsythe, S. (2011). Examining drivers of online purchase intensity: Moderating role of adoption duration in sustaining post-adoption online shopping. Journal of Retailing and Consumer Services, 18(1), 101-109.
Luarn, P., & Lin, H.-H. (2005). Toward an understanding of the behavioral intention to use mobile banking. Computers in Human Behavior, 21(6), 873-891.
McGrath, J. E., & Kelly, J. R. (1986). Time and human interaction: Toward a social psychology of time: Guilford Press.
Mollick, E. (2014). The dynamics of crowdfunding: An exploratory study. Journal of Business Venturing, 29(1), 1-16.
Morris, M. G., & Dillon, A. (1997). How user perceptions influence software use. IEEE software, 14(4), 58-65.
Nov, O. (2007). What motivates wikipedians? Communications of the ACM, 50(11), 60-64.
O'reilly, T. (2007). What is Web 2.0: Design patterns and business models for the next generation of software. Communications & strategies(1), 17.
Park, N., Rhoads, M., Hou, J., & Lee, K. M. (2014). Understanding the acceptance of teleconferencing systems among employees: An extension of the technology acceptance model. Computers in Human Behavior, 39, 118-127.
Rao, A. R., & Monroe, K. B. (1989). The effect of price, brand name, and store name on buyers' perceptions of product quality: An integrative review. Journal of marketing Research, 351-357.
Reichwald, R., & Piller, F. (2006). Interaktive Wertschöpfung. Open Innovation, Individualisierung und neue Formen der Arbeitsteilung, Wiesbaden.
Rogers, E. M. (2010). Diffusion of innovations: Simon and Schuster.
Rogers, E. M., & Shoemaker, F. F. (1971). Communication of Innovations; A Cross-Cultural Approach.
Sandelancls, L. E., & Buckner, G. C. (1989). Of art and work: Aesthetic experience and the psychology of work feelings. Research in organizational behavior, 100.
Starbuck, W. H., & Webster, J. (1991). When is play productive? Accounting, Management and Information Technologies, 1(1), 71-90.
Steenkamp, J.-B. E. (1990). Conceptual model of the quality perception process. Journal of Business research, 21(4), 309-333.
Tam, J. L. (2004). Customer satisfaction, service quality and perceived value: an integrative model. Journal of marketing management, 20(7-8), 897-917.
Udoh, E. (2012). Technology acceptance model applied to the adoption of grid and cloud technology. International Journal of Grid and High Performance Computing (IJGHPC), 4(1), 1-20.
Valanciene, L., & Jegeleviciute, S. (2013). Valuation of crowdfunding: benefits and drawbacks. Economics and Management, 18(1), 39-48.
Van der Heijden, H. (2003). Factors influencing the usage of websites: the case of a generic portal in The Netherlands. Information & Management, 40(6), 541-549.
Van der Heijden, H. (2004). User acceptance of hedonic information systems. MIS quarterly, 695-704.
Van der Heijden, H., Verhagen, T., & Creemers, M. (2003). Understanding online purchase intentions: contributions from technology and trust perspectives. European journal of information systems, 12(1), 41-48.
Varki, S., & Colgate, M. (2001). The role of price perceptions in an integrated model of behavioral intentions. Journal of Service Research, 3(3), 232-240.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.
Yang, K., Li, X., Kim, H., & Kim, Y. H. (2015). Social shopping website quality attributes increasing consumer participation, positive eWOM, and co-shopping: The reciprocating role of participation. Journal of Retailing and Consumer Services, 24, 1-9.
Yang, K. C. (2005). Exploring factors affecting the adoption of mobile commerce in Singapore. Telematics and informatics, 22(3), 257-277.
Yang, Z., & Peterson, R. T. (2004). Customer perceived value, satisfaction, and loyalty: The role of switching costs. Psychology & Marketing, 21(10), 799-822.
Yoon, C. (2009). The effects of national culture values on consumer acceptance of e-commerce: Online shoppers in China. Information & Management, 46(5), 294-301.
Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. The Journal of Marketing, 2-22.
Zheng, H., Li, D., Wu, J., & Xu, Y. (2014). The role of multidimensional social capital in crowdfunding: A comparative study in China and US. Information & Management, 51(4), 488-496.
【中文文獻】
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