Main Article Content
Abstract
The millennial generation is closely related to the Industrial Revolution 4.0, which focuses on digitalization and automation patterns in human life. There are six main barriers: usage perception barriers, perceived value barriers, risk barriers, tradition barriers, image barriers, and perceived cost barriers. Therefore, the role of universities is needed in encouraging the millennial generation to create more contemporary innovations. This study aims to analyze the negative impact of internal and external barriers that affect the low innovation of the millennial generation. The research method is quantitative exploratory, with a total sample of 274 respondents from various private universities in Semarang City. The sampling method used purposive sampling, and the data collection technique used a survey with a questionnaire designed in certain procedure. Analysis of research results using multiple linear regression, which in principle can address the hypothesis statistically and comprehensively. The results of this study are usage perception barriers, perceived value barriers, risk barriers, tradition barriers, image barriers, and perceived cost barriers have a negative significant effect on the low innovation level of the millennial generation. The importance of this research is to encourage university administrators to facilitate students to develop self-competence and create creative innovations.
Keywords
Article Details
Copyright (c) 2023 Febrianur Ibnu Fitroh Sukono Putra, Awanis Linati Haziroh, Risanda Alirastra Budiantoro, Selvia Puji Lestari, Tiara Daffa Arsanda
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References
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- Griliches, Z. (1957). Hybrid corn: An exploration in the economics of technological change. Econometrica, Journal of the Econometric Society, 25(4), 501–522. https://doi.org/10.2307/1905380
- Heidenreich, S., Wittkowski, K., Handrich, M., & Falk, T. (2015). The dark side of customer co-creation: Exploring the consequences of failed co-created services. Journal of the Academy of Marketing Science, 43(3), 279–296. https://doi.org/10.1007/s11747-014-0387-4
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- Jin, C.-H. (2013). The effects of individual innovativeness on users’ adoption of internet content filtering software and attitudes toward children’s internet use. Computers in Human Behavior, 2(9), 1904–1916. https://doi.org/10.1016/j.chb.2013.03.009
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- Lingelbach, D., Patino, A., & Pitta, D.A. (2012). The emergence of marketing in Millennial new ventures. Journal of Consumer Marketing, 29(2), 136–145. https://doi.org/10.1108/07363761211206384
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- Nygrén, N. A., Kontio, P., Lyytimäki, J., Varho, V., & Tapio, P. (2015). Early adopters boosting the diffusion of sustainable small-scale energy solutions. Renewable and Sustainable Energy Reviews, 4(6), 79–87. https://doi.org/10.1016/j.rser.2015.02.031
- Ortiz-Villajos, J.M. (2017). Forms of innovation throughout time: insights from the British business elite. Innovation, 19(4), 428–451. https://doi.org/10.1080/14479338.2017.1359102
- Popa, S., Soto-Acosta, P., & Martinez-Conesa, I. (2017). Antecedents, moderators, and outcomes of innovation climate and open innovation: An empirical study in SMEs. Technological Forecasting and Social Change, 118, 134-142. https://doi.org/10.1016/j.techfore.2017.02.014
- Purwanto, E., Sjarief, R. & Anwar, C. (2021). The effect of the innovation resistance factors on the digital fishery platform acceptance in developing country. Review of International Geographical Education Online, 11(5), 507–518.
- Qin, H. & Prybutok, V.R. (2008). Determinants of customer-perceived service quality in fast-food restaurants and their relationship to customer satisfaction and behavioral intentions. Quality Management Journal, 15(2), 35-50. https://doi.org/10.1080/10686967.2008.11918065
- Radziwon, A., & Bogers, M. (2019). Open innovation in SMEs: Exploring inter-organizational relationships in an ecosystem. Technological Forecasting and Social Change, 146, 573-587. https://doi.org/10.1016/j.techfore.2018.04.021
- Ridgway, N.M., Dawson, S.A., & Bloch, P.H. (1990). Pleasure and arousal in the marketplace: Interpersonal differences in approach-avoidance responses. Marketing Letters, 1(2), 139-147. https://doi.org/10.1007/BF00435297
- Sarstedt, M., Hair, J.F. Jr, Cheah, J.H., Becker, J.M., & Ringle, C.M. (2019). How to specify, estimate, and validate higher-order constructs in PLS-SEM. Australasian Marketing Journal, 27(3), 197-211. https://doi.org/10.1016/j.ausmj.2019.05.003
- Susanto, P., Hoque, M.E., Hashim, N.M.H.N., Shah, N.U., & Alam, M.N.A. (2022). Moderating effects of perceived risk on the determinants–outcome nexus of e-money behaviour. International Journal of Emerging Markets, 17(2), 530–549. https://doi.org/10.1108/IJOEM-05-2019-0382
- Terjesen, S., & Patel, P.C. (2017). In search of process innovations: The role of search depth, search breadth, and the industry environment. Journal of Management, 43(5), 1421-1446. http://dx.doi.org/10.1177/0149206315575710
- Thøgersen, J., Haugaard, A., & Olesen, A. (2010). Consumer responses to ecolabels. European Journal of Marketing, 44(12), 1787–1810. https://doi.org/10.1108/03090561011079882
- Urala, N., & Lahteenmaki, L. (2007). Consumers’ changing attitudes towards functional foods. Food Quality and Preference, 18(1), 1-12. https://doi.org/10.1016/j.foodqual.2005.06.007
- Venkatraman, M.P. (1991). The impact of innovativeness and innovation type on adoption. Journal of Retailing, 67(1), 51–67.
- Wadi, D.A., & Nurzaman, M.S. (2020). Millennials behaviour towards digital waqf innovation. International Journal of Islamic Economics and Finance (IJIEF), 3(2), 1–30. https://doi.org/10.18196/ijief.3232
- Yang, Q., Shen, Y., Foster, T., & Hort, J. (2020). Measuring consumer emotional response and acceptance to sustainable food products. Food Research International, 13(1), 108-122. https://doi.org/10.1016/j.foodres.2020.108992
- Yoon, B., & Chung, Y. (2018). Consumer attitude and visit intention toward food-trucks: Targeting millennials. Journal of Food Service Business Research, 21(4), 1-13. https://doi.org/10.1080/15378020.2017.1368807
- Zhang, X., Yu, P., Yan, J., & Spil, I.T.A.M. (2015). Using diffusion of innovation theory to understand the factors impacting patient acceptance and use of consumer e-health innovations: A case study in a primary care clinic. BMC Health Services Research, 1(5), 55-71. https://doi.org/10.1186/s12913-015-0726-2
- Zhao, L., Lee, S.H., & Copeland, L.R. (2019). Social media and Chinese consumers’ environmentally sustainable apparel purchase intentions. Asia Pacific Journal of Marketing and Logistics, 31(4), 855-874. https://doi.org/10.1108/APJML-08-2017-0183
References
Álvarez, R., & Crespi, G. A. (2015). Heterogeneous efects of financial constraints on innovation: Evidence from Chile. Science and Public Policy, 42(5), 711–724. https://doi.org/10.1093/scipol/scu091
Badri, M. (2019). Adoption of innovation online transportation application in post-millennial generation in Pekanbaru City. Jurnal Penelitian Komunikasi dan Opini Publik, 23(2), 115–128.
Baptista, G., & Oliveira, T. (2017). Why so serious? Gamification impact in the acceptance of mobile banking services. NOVA IMS – Information Management School, New University of Lisbon, Lisbon, Portugal, 27(1), 118–139. https://doi.org/10.1108/IntR-10-2015-0295
Berraies, S., Ben Yahia, K., & Hannachi, M. (2017). Identifying the effects of perceived values of mobile banking applications on customers. International Journal of Bank Marketing, 35(6), 1018–1038. https://doi.org/10.1108/IJBM-09-2016-0137
Chen, H.-S., Tsai, B.-K., & Hsieh, C.-M. (2018). The effects of perceived barriers on innovation resistance of hydrogen-electric motorcycles. Sustainability, 10(6), 19-33. https://doi.org/10.3390/su10061933
Dedehayir, O., Ortt, R.J., Riverola, C., Miralles, F. (2017). Innovators and early adopters in the diffusion of innovations: A literature review. International Journal of Innovation Management, 21(08), 1-27. https://doi.org/10.1142/S1363919617400102
Evanschitzky, H., Iyer, G.R., Pillai, K.G., Kenning, P., & Schütte, R. (2015). Consumer trial, continuous use, and economic benefits of a retail service innovation: The case of the personal shopping assistant. Journal of Product Innovation Management, 32(3), 459–475. https://doi.org/10.1111/jpim.12241
Franceschinis, C., Thiene, M., Scarpa, R., Rose, J., Moretto, M., & Cavalli, R. (2017). Adoption of renewable heating systems: An empirical test of the diffusion of innovation theory. Energy, 12(5), 313–326. https://doi.org/10.1016/j.energy.2017.02.060
Griliches, Z. (1957). Hybrid corn: An exploration in the economics of technological change. Econometrica, Journal of the Econometric Society, 25(4), 501–522. https://doi.org/10.2307/1905380
Heidenreich, S., Wittkowski, K., Handrich, M., & Falk, T. (2015). The dark side of customer co-creation: Exploring the consequences of failed co-created services. Journal of the Academy of Marketing Science, 43(3), 279–296. https://doi.org/10.1007/s11747-014-0387-4
Im, S., Mason, C.H., Houston, M.B. (2007) Does innate consumer innovativeness related 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. https://doi.org/10.1007/s11747-006-0007-z
Jin, C.-H. (2013). The effects of individual innovativeness on users’ adoption of internet content filtering software and attitudes toward children’s internet use. Computers in Human Behavior, 2(9), 1904–1916. https://doi.org/10.1016/j.chb.2013.03.009
Kaur, P., Dhir, A., Ray, A., Bala, P. K., & Khalil, A. (2021). Innovation resistance theory perspective on the use of food delivery applications. Journal of Enterprise Information Management, 34(6), 1746–1768. https://doi.org/10.1108/JEIM-03-2020-0091
Tan, E., & Leby Lau, J. (2016). Behavioural intention to adopt mobile banking among the millennial generation. Young Consumers, 17(1), 18-31. https://doi.org/10.1108/YC-07-2015-00537
Lingelbach, D., Patino, A., & Pitta, D.A. (2012). The emergence of marketing in Millennial new ventures. Journal of Consumer Marketing, 29(2), 136–145. https://doi.org/10.1108/07363761211206384
Moldovan, S., Steinhart, Y., & Ofen, S. (2015). “Share and scare”: Solving the communication dilemma of early adopters with a high need for uniqueness. Journal of Consumer Psychology, 25(1), 1–14. https://doi.org/10.1016/j.jcps.2014.06.001
Moorthy, K., Ling, C.S., Fatt, Y.W., Yee, C.M., Yin, E.C.K., Yee, K.S., & Wei, L.K. (2017). Barriers of mobile commerce adoption intention: perceptions of generation X in Malaysia. Journal of Theoretical and Applied Electronic Commerce Research, 12(2), 37-53. https://doi.org/10.4067/S0718-18762017000200004
Nygrén, N. A., Kontio, P., Lyytimäki, J., Varho, V., & Tapio, P. (2015). Early adopters boosting the diffusion of sustainable small-scale energy solutions. Renewable and Sustainable Energy Reviews, 4(6), 79–87. https://doi.org/10.1016/j.rser.2015.02.031
Ortiz-Villajos, J.M. (2017). Forms of innovation throughout time: insights from the British business elite. Innovation, 19(4), 428–451. https://doi.org/10.1080/14479338.2017.1359102
Popa, S., Soto-Acosta, P., & Martinez-Conesa, I. (2017). Antecedents, moderators, and outcomes of innovation climate and open innovation: An empirical study in SMEs. Technological Forecasting and Social Change, 118, 134-142. https://doi.org/10.1016/j.techfore.2017.02.014
Purwanto, E., Sjarief, R. & Anwar, C. (2021). The effect of the innovation resistance factors on the digital fishery platform acceptance in developing country. Review of International Geographical Education Online, 11(5), 507–518.
Qin, H. & Prybutok, V.R. (2008). Determinants of customer-perceived service quality in fast-food restaurants and their relationship to customer satisfaction and behavioral intentions. Quality Management Journal, 15(2), 35-50. https://doi.org/10.1080/10686967.2008.11918065
Radziwon, A., & Bogers, M. (2019). Open innovation in SMEs: Exploring inter-organizational relationships in an ecosystem. Technological Forecasting and Social Change, 146, 573-587. https://doi.org/10.1016/j.techfore.2018.04.021
Ridgway, N.M., Dawson, S.A., & Bloch, P.H. (1990). Pleasure and arousal in the marketplace: Interpersonal differences in approach-avoidance responses. Marketing Letters, 1(2), 139-147. https://doi.org/10.1007/BF00435297
Sarstedt, M., Hair, J.F. Jr, Cheah, J.H., Becker, J.M., & Ringle, C.M. (2019). How to specify, estimate, and validate higher-order constructs in PLS-SEM. Australasian Marketing Journal, 27(3), 197-211. https://doi.org/10.1016/j.ausmj.2019.05.003
Susanto, P., Hoque, M.E., Hashim, N.M.H.N., Shah, N.U., & Alam, M.N.A. (2022). Moderating effects of perceived risk on the determinants–outcome nexus of e-money behaviour. International Journal of Emerging Markets, 17(2), 530–549. https://doi.org/10.1108/IJOEM-05-2019-0382
Terjesen, S., & Patel, P.C. (2017). In search of process innovations: The role of search depth, search breadth, and the industry environment. Journal of Management, 43(5), 1421-1446. http://dx.doi.org/10.1177/0149206315575710
Thøgersen, J., Haugaard, A., & Olesen, A. (2010). Consumer responses to ecolabels. European Journal of Marketing, 44(12), 1787–1810. https://doi.org/10.1108/03090561011079882
Urala, N., & Lahteenmaki, L. (2007). Consumers’ changing attitudes towards functional foods. Food Quality and Preference, 18(1), 1-12. https://doi.org/10.1016/j.foodqual.2005.06.007
Venkatraman, M.P. (1991). The impact of innovativeness and innovation type on adoption. Journal of Retailing, 67(1), 51–67.
Wadi, D.A., & Nurzaman, M.S. (2020). Millennials behaviour towards digital waqf innovation. International Journal of Islamic Economics and Finance (IJIEF), 3(2), 1–30. https://doi.org/10.18196/ijief.3232
Yang, Q., Shen, Y., Foster, T., & Hort, J. (2020). Measuring consumer emotional response and acceptance to sustainable food products. Food Research International, 13(1), 108-122. https://doi.org/10.1016/j.foodres.2020.108992
Yoon, B., & Chung, Y. (2018). Consumer attitude and visit intention toward food-trucks: Targeting millennials. Journal of Food Service Business Research, 21(4), 1-13. https://doi.org/10.1080/15378020.2017.1368807
Zhang, X., Yu, P., Yan, J., & Spil, I.T.A.M. (2015). Using diffusion of innovation theory to understand the factors impacting patient acceptance and use of consumer e-health innovations: A case study in a primary care clinic. BMC Health Services Research, 1(5), 55-71. https://doi.org/10.1186/s12913-015-0726-2
Zhao, L., Lee, S.H., & Copeland, L.R. (2019). Social media and Chinese consumers’ environmentally sustainable apparel purchase intentions. Asia Pacific Journal of Marketing and Logistics, 31(4), 855-874. https://doi.org/10.1108/APJML-08-2017-0183