|
[1] Amoako-Gyampah, K. (2007). Perceived usefulness, user involvement and behavioral intention: an empirical study of ERP implementation. Computers in Human Behavior, 23(3), 1232-1248.
[2] Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or fun: measuring hedonic and utilitarian shopping value. Journal of consumer research, 20(4), 644-656.
[3] Brynjolfsson, E., & Kemerer, C. F. (1996). Network externalities in microcomputer software: An econometric analysis of the spreadsheet market. Management science, 42(12), 1627-1647.
[4] Babin, B. J., & Attaway, J. S. (2000). Atmospheric affect as a tool for creating value and gaining share of customer. Journal of Business research, 49(2), 91-99.
[5] Babin, B. J., & Kim, K. (2001). International students' travel behavior: a model of the travel-related consumer/dissatisfaction process. Journal of Travel & Tourism Marketing, 10(1), 93-106.
[6] Babin, B. J., & Babin, L. (2001). Seeking something different? A model of schema typicality, consumer affect, purchase intentions and perceived shopping value. Journal of Business research, 54(2), 89-96.
[7] Battistella, C., & Nonino, F. (2012). Open innovation web-based platforms: The impact of different forms of motivation on collaboration. Innovation, 14(4), 557-575.
[8] Boussard, J. (2014). Makers: The New Industrial Revolution, by Chris Anderson; The New Industrial Revolution: Consumers, Globalization and the End of Mass Production, by Peter Marsh.
[9] Brady, T., Salas, C., Nuriddin, A., Rodgers, W., & Subramaniam, M. (2014). MakeAbility: Creating accessible makerspace events in a public library. Public Library Quarterly, 33(4), 330-347.
[10] Childers, T. L., Carr, C. L., Peck, J., & Carson, S. (2002). Hedonic and utilitarian motivations for online retail shopping behavior. Journal of retailing, 77(4), 511-535.
[11] Chiu, H. C., Hsieh, Y. C., Li, Y. C., & Lee, M. (2005). Relationship marketing and consumer switching behavior. Journal of Business Research, 58(12), 1681-1689.
[12] Chiu, C. M., Hsu, M. H., Sun, S. Y., Lin, T. C., & Sun, P. C. (2005). Usability, quality, value and e-learning continuance decisions. Computers & Education, 45(4), 399-416.
[13] Chu, C. W., & Lu, H. P. (2007). Factors influencing online music purchase intention in Taiwan: An empirical study based on the value-intention framework. Internet Research, 17(2), 139-155.
[14] Chun, H., Lee, H., & Kim, D. (2012). The integrated model of smartphone adoption: Hedonic and utilitarian value perceptions of smartphones among Korean college students. Cyberpsychology, Behavior, and Social Networking, 15(9), 473-479.
[15] Colegrove, T. (2013). Editorial board thoughts: libraries as makerspace?. Information Technology and Libraries (Online), 32(1), 2.
[16] Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
[17] Davis, F. D. (1993). User acceptance of information technology: system characteristics, user perceptions and behavioral impacts.
[18] Deloitte (2013) IMPACT OF THE MAKER MOVEMENT
[19] Deloitte (2014) Maker Impact Summit 2014 Impacts of the maker movement.
[20] Retrieved from: https://www2.deloitte.com/us/en/pages/center-for-the-edge/articles/maker-impact-summit-2014.html
[21] Frey, K., Lüthje, C., & Haag, S. (2011). Whom should firms attract to open innovation platforms? The role of knowledge diversity and motivation. Long Range Planning, 44(5), 397-420.
[22] Forest, C. R., Moore, R. A., Jariwala, A. S., Fasse, B. B., Linsey, J., Newstetter, W. E. N. D. Y., ... & Quintero, C. (2014). The invention studio: A university maker space and culture. Advances in Engineering Education, 4(2), 1-32.
[23] Gurbaxani, V., & Mendelson, H. (1990). An integrative model of information systems spending growth. Information Systems Research, 1(1), 23-46.
[24] Gandal, N. (1994). Hedonic price indexes for spreadsheets and an empirical test for network externalities. the RAND Journal of Economics, 160-170.
[25] Gefen, D., & Straub, D. W. (2000). The relative importance of perceived ease of use in IS adoption: A study of e-commerce adoption. Journal of the association for Information Systems, 1(1), 8.
[26] Gupta, S., & Mela, C. F. (2008). What is a free customer worth? Armchair calculations of nonpaying customers' value can lead to flawed strategies. Harvard Business Review, 86(11), 102-9.
[27] Gao, L., & Bai, X. (2014). An empirical study on continuance intention of mobile social networking services: Integrating the IS success model, network externalities and flow theory. Asia Pacific Journal of Marketing and Logistics, 26(2), 168-189.
[28] Holbrook, M. B., & Corfman, K. P. (1985). Quality and value in the consumption experience: Phaedrus rides again. Perceived quality, 31(2), 31-57.
[29] Havlena, W. J., & Holbrook, M. B. (1986). The varieties of consumption experience: comparing two typologies of emotion in consumer behavior. Journal of consumer research, 13(3), 394-404.
[30] Hsiao, K. L., Chuan-Chuan Lin, J., Wang, X. Y., Lu, H. P., & Yu, H. (2010). Antecedents and consequences of trust in online product recommendations: An empirical study in social shopping. Online Information Review, 34(6), 935-953.
[31] Honey, M., & Kanter, D. E. (Eds.). (2013). Design, make, play: Growing the next generation of STEM innovators. Routledge, p. 13.
[32] Hess, T. J., McNab, A. L., & Basoglu, K. A. (2014). Reliability Generalization of Perceived Ease of Use, Perceived Usefulness, and Behavioral Intentions. Mis Quarterly, 38(1), 1-28.
[33] Halverson, E. R., & Sheridan, K. (2014). The maker movement in education. Harvard Educational Review, 84(4), 495-504.
[34] Katz, M. L., & Shapiro, C. (1985). Network externalities, competition, and compatibility. The American economic review, 75(3), 424-440.
[35] Kim, H. W., Chan, H. C., & Gupta, S. (2007). Value-based adoption of mobile internet: an empirical investigation. Decision support systems, 43(1), 111-126.
[36] Kim, J., Fiore, A. M., & Lee, H. H. (2007). Influences of online store perception, shopping enjoyment, and shopping involvement on consumer patronage behavior towards an online retailer. Journal of retailing and Consumer Services, 14(2), 95-107.
[37] Kim, G. S., Park, S. B., & Oh, J. (2008). An examineination of factors influencing consumer adoption of short message service (SMS). Psychology & Marketing, 25(8), 769-786.
[38] Kayeser Fatima, J., & Abdur Razzaque, M. (2013). Roles of customer involvement in rapport and satisfaction. Asia Pacific Journal of Marketing and Logistics, 25(3), 452-471.
[39] 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. [40] Lakhani, K. R., & Von Hippel, E. (2003). How open source software works:“free” user-to-user assistance. Research policy, 32(6), 923-943.
[41] Lin, C. P., & Bhattacherjee, A. (2008). Elucidating individual intention to use interactive information technologies: The role of network externalities. International Journal of Electronic Commerce, 13(1), 85-108.
[42] Lu, Y., Zhou, T., & Wang, B. (2009). Exploring Chinese users’ acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory. Computers in human behavior, 25(1), 29-39.
[43] Lu, H. P., & Hsiao, K. L. (2010). The influence of extro/introversion on the intention to pay for social networking sites. Information & Management, 47(3), 150-157.
[44] Lin, K. Y., & Lu, H. P. (2011). Why people use social networking sites: An empirical study integrating network externalities and motivation theory. Computers in Human Behavior, 27(3), 1152-1161.
[45] Lin, T. C., Wu, S., Hsu, J. S. C., & Chou, Y. C. (2012). The integration of value-based adoption and expectation–confirmation models: An example of IPTV continuance intention. Decision Support Systems, 54(1), 63-75.
[46] 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.
[47] Moital, M., Vaughan, R., & Edwards, J. (2009). Using involvement for segmenting the adoption of e-commerce in travel. The Service Industries Journal, 29(5), 723-739.
[48] Morar, D. D. (2013). An overview of the consumer value literature–perceived value, desired value. Marketing From Information to Decision, (6), 169-186.
[49] Martin, L. (2015). The promise of the maker movement for education. Journal of Pre-College Engineering Education Research (J-PEER), 5(1), 4.
[50] Olson, J. C., & Peter, J. P. (1987). Consumer Behavior: Marketing Strategy Perspectives.
[51] 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.
[52] Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of applied psychology, 88(5), 879.
[53] Peppler, K., & Bender, S. (2013). Maker movement spreads innovation one project at a time. Phi Delta Kappan, 95(3), 22-27.
[54] Richins, M. L., & Bloch, P. H. (1986). After the new wears off: The temporal context of product involvement. Journal of Consumer research, 13(2), 280-285.
[55] Rayna, T., Striukova, L., & Darlington, J. (2015). Co-creation and user innovation: the role of online 3D printing platforms. Journal of Engineering and Technology Management, 37, 90-102.
[56] Richardson, M., & Haylock, B. (2012). Designer/maker: the rise of additive manufacturing, domestic-scale production and the possible implications for the automotive industry. Computer-Aided Design & Applications PACE, 2, 33-48.
[57] Sherif, M., & Cantril, H. (1947). The psychology of ego-involvements: Social attitudes and identifications.
[58] Saadé, R. G., & Kira, D. (2007). Mediating the impact of technology usage on perceived ease of use by anxiety. Computers & education, 49(4), 1189-1204.
[59] Sánchez-Fernández, R., & Iniesta-Bonillo, M. Á. (2007). The concept of perceived value: a systematic review of the research. Marketing theory, 7(4), 427-451.
[60] 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.
[61] Svendsen, G. B., Johnsen, J. A. K., Almås-Sørensen, L., & Vittersø, J. (2013). Personality and technology acceptance: the influence of personality factors on the core constructs of the Technology Acceptance Model. Behaviour & Information Technology, 32(4), 323-334.
[62] Stager, G. S. (2013, June). Papert's prison fab lab: implications for the maker movement and education design. In Proceedings of the 12th International Conference on Interaction Design and Children (pp. 487-490). ACM.
[63] Sánchez, R. A., Cortijo, V., & Javed, U. (2014). Students' perceptions of Facebook for academic purposes. Computers & Education, 70, 138-149.
[64] Schön, S., Ebner, M., & Kumar, S. (2014). The Maker Movement. Implications of new digital gadgets, fabrication tools and spaces for creative learning and teaching. eLearning Papers, 39, 14-25.
[65] Thaler, R. (1985). Mental accounting and consumer choice. Marketing science, 4(3), 199-214.
[66] Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.
[67] Venkatesh, V., & Brown, S. A. (2001). A longitudinal investigation of personal computers in homes: adoption determinants and emerging challenges. MIS quarterly, 71-102.
[68] Van der Heijden, H. (2004). User acceptance of hedonic information systems. MIS quarterly, 695-704.
[69] Von Busch, O. (2012). Molecular management: Protocols in the maker culture. Creative Industries Journal, 5(1-2), 55-68.
[70] Yang, J., & Mai, E. S. (2010). Experiential goods with network externalities effects: An empirical study of online rating system. Journal of Business Research, 63(9), 1050-1057.
[71] Zaichkowsky, J. L. (1985). Measuring the involvement construct. Journal of consumer research, 12(3), 341-352.
[72] Zaichkowsky, J. L. (1994). The personal involvement inventory: Reduction, revision, and application to advertising. Journal of advertising, 23(4), 59-70.
|