Open Journal Systems

Perilaku Pasca-Adopsi Teknologi Personal Terhadap Intensi Sustainable Behavior

Ardiwansyah Nanggong

Abstract


Abstrak. Perilaku paradoks dalam adopsi teknologi terjadi ketika tingkat kecanggihan teknologi tidak bersesuaian dengan perilaku individu. Teknologi yang dapat mengurangi penggunaan sumberdaya alam dan meminimalisir biaya sehingga perilaku intensi adopsi teknologi seharusnya menstimuli hadirnya perilaku berkelanjutan (sustainable behavior). Oleh karena itu, penelitian ini bertujuan menguji efek perilaku pasca-adopsi teknologi oleh konsumen yang mengarah pada sustainable behavior. Prediktor penggunaan teknologi meminjam sebagian model UTAUT2 dengan menambahkan perceived benefit sebagai peran moderasi dalam hubungannya dengan perilaku berkelanjutan. Pengumpulan data dilakukan dengan penyebaran kuesioner online, sebanyak 162 kuesioner valid berhasil diperoleh dengan analisis data menggunakan Partial Least Square (PLS). Hasil mengungkap sumbangsih motivasi hedonis, nilai harga dan kebiasaan terhadap perilaku intensi adopsi teknologi sedangkan efek peran moderasi persepsi manfaat tidak ditemukan dalam hubungan antara perilaku intensi dan perilaku berkelanjutan.

Kata kunci: Pasca-adopsi, UTAUT2, adopsi teknologi, persepsi manfaat, perilaku berkelanjutan.


Abstract. The paradoxical behavior in technological adoption occurs when the level of technological sophistication is incompatible with individual behavior. Technology which can reduce the use of natural resource and minimize cost so that the intention behavior of technological adoption should stimulate an existence of sustainable behavior. Therefore, this study aims to examine the behavioral effect of consumers' post-adoption technology that leads to sustainable behavior. The utilizing technology predictor take some models of UTAUT2 by adding perceived benefit as a moderation role relating to sustainable behavior. The data collection is conducted by spreading online questioners. Totally, 162 valid questioners are successfully obtained and Partial Least Square (PLS) is applied as a data analysis. The result shows the contribution of hedonic motivation, price value, and habit to the intention behavior of technological adoption, while the moderation role effect of perception is not found in relationship between behavior intention and sustainable behavior.

Keyword: Post-Adoption, UTAUT2, technology adoption, perceived benefit, sustainable behavior.



Keywords


Post-Adoption; UTAUT2; Sustainable Behavior

Full Text:

PDF

References


Abou-Shouk, M., Megicks, P. & Lim, W. M. (2013). Perceived benefits and e-commerce adoption by SME travel agent in developing countries: Evidence from Egypt. Journal of Hospitality & Tourism Research. 37(4), 490-515.

Alwahaishi, S., & Snásel, V. (2013). Consumers' acceptance use of information and communication technology: a utaut and flow based theoritical model. Journal of Technology Management & Innovation, 8(2), 61-73.

Ariaeinejad, R. & Archer, N. (2014). Importance of mobile technology in successful adoption and sustainability of a chronic support system. International Scholarly and Scientific Research & Innovation, 8(4), 903-908.

Arenas-Gaitan, J., Peral-Peral, B. & Ramon-Jeronimo, M. A (2015). Elderly and internet banking: An application of UTAUT2. Journal of Internet Banking and Commerce, 20(1), 1-23.

Bhattacherjee, A. (2001) Understanding information systems continuance: an expectation-confirmation model. MIS Quarterly, 25, 351–370.

Bhattacherjee, A., Perols, J., & Sanford, C. (2008). Information technology continuance: A theoretic extension and empirical test. Journal of Computer Information Systems, 49(1), 17-26.

Brown, S. A. & Venkatesh, V. (2005). Model of adoption of technology in the household: A baseline model test and extension incorporating household life cycle. MIS quarterly, 29(4), 399-426.

Carfora, V., Caso, D., Sparks, P. & Conner, M. (2017) Moderating effects of pro-environmental self-identity on pro-environmental intention and behaviour: A multi-behaviour study. Journal of Environmental Psychology, 53, 92-99.

Carlsson, C., Carlsson, J. & Hyvonen, K. (2006) Adoption of mobile devices/services – searching for answers with the UTAUT. Proceedings of the 39th Hawaii International Conference on System Sciences.

Coelho, F., Pereira, M., Cruz, L., Simoes, P. & Barata, E. (2017). Affect and the adoption of pro-environmental behaviour: A structural model. Journal of Environmental Psychology, 54, 127-138.

Cosic, A. (2015). Sustainable Consumer Behavior. PhD Dissertation. Sant' Anna School of Advanced Studies, Institute of Management, Pisa: Italy.

Crosno, J. L. & Cui, A. P. (2014). A multilevel analysis of the adoption of sustainable technology. Journal of Marketing Theory and Practice, 22(2), 209–224.

de Groot, J.I.M. & Steg, L. (2010). Relationship value orientation, self-determined motivational types and pro-environmental behavioural intentions. Journal of Environmental Psychology, 30, 368-378.

Ertz, M., Karakas, F. & Sarigöllu, E. (2016) Exploring pro-environmental behavior of consumers: An analysis of contextual factors, attitude, and behaviors. Journal of Business Research, 69, 3971-3980.

Hair, J. F,. Hult, G. Tomas,. Ringle, C. M. & Sarstedt. M. (2013). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). SAGE Publications.

Hair, J. F., Black, W. C., Babin, B. J. & Anderson, R. E. (2014). Multivariate data analysis: Seventh Edition. Pearson Education Limited.

Heiskanen, E., Kasanen, P. & Timonen, P. (2005). Consumer participation in sustainable technology development. International Journal of Consumer Studies, 29(2), 98-107.

Iveroth, E. & Bengtsson, F. (2014). Changing behavior towards sustainable practices using information technology. Journal of Environmental Management, 139, 59-68.

Joshi, Y. & Rahman, Z. (2017). Investigating the determinant of consumer' sustainable purchase behavior. Sustainable Production and consumption, 10, 110-120.

Kim, S. S & Malhota, N. K. (2005). A longitudinal model of continued is use: An integrative view of four mechanisms underlying postadoption phenomena. Management Science, 51(5), 741-755.

Kostadinova, E. (2016). Sustainable consumer behavior: Literature overview. Economic Alternatives, 2, 224-234.

Kwon, O. & Song, M. S. (2012). Understanding customer intention to adopt sustainablle it products through two dimensional value structure and perceived sustainability. Asia Pacific Journal of Information Systems, 2(3).

Lee, M. C. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic Commerce Research and Applications, 8(3), 130-141.

Lock, C.M., Staake, T. & Thiesse, F. (2013). Motivating energy-efficient behavior with green is; An investigation of goal setting. MIS quarterly, 37(4).

Luchs, M. G & Mooradian, T. A (2012). Sex, personality, and sustainable consumer behavior: Elucidating the gender effect. Journal of Consumer Policy, 35(1), 127-144.

Melville, N. P. (2010). Information system innovation for environmental sustainability. MIS quarterly, 34(1), 1-21.

Midden, C., McCalley, T., Ham, J. & Zaalberg, R. (2008). Using persuasive technology to encourage sustainable behavior. Sustainability WS Pervasive, 113

Nguyen, T. D., Nguyen, D. T., & Chao, T. H. (2014). Acceptance and use of information system: E-Learning based on cloud computing in Vietnam. In Information and Communication Technology-EurAsia Conference (pp. 139-149). Springer, Berlin, Heidelberg.

Oliveira, T. & Martins, M. F. (2011). Literature review of information technology adoption models at firm level. The Electronic Journal Information Systems Evaluation. 14(1), 110-121.

Ozaki, R. (2011). Adopting sustainable innovation: What makes consumer sign up to green electricity? Business Strategy and the Environment, 20, 1-17.

Pei, Y., Wang, S., Fan, J., & Zhang, M. (2015, August). An empirical study on the impact of perceived benefit, risk and trust on e-payment adoption: comparing quick pay and union pay in China. In Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2015 7th International Conference on (Vol. 2, pp. 198-202). IEEE.

Raman, A. & Don, Y.(2013). Preservice teachers' accepatance of learning management: An application of the UTAUT2 model. International Education Studies, 6(7), 157-164.

Roy, S. & Sivakumar, K. (2007). The role of information technology adoption in the globalization of business buying behavior: a conceptual model and research propositions. Journal of Business & Industrial Marketing, 22(4), 220 – 227.

Saeed, K. A & Abdinnour, S. (2013). Understanding post-adoption IS usage stages: An empirical assessment of self-service information systems. Information Systems Journal, 23, 219-244.

Son, M. & Han, K. (2011). Beyond the technology adoption: Technology readiness effects on post-adoption behavior. Journal of Business Research, 178-1182.

Steg, L. & Vlek, C. (2009). Encouraging pro-environmental behaviour: An integrative review and research agenda. Journal of Environmental Psychology, 29, 309-317.

Steg, L., Bolderdijk, J. W., Keizer, K. & Perlaviciute, G. (2014). An Integrate Framework for Encouraging Pro-environmental Behaviour: The role of values, situasional factors and goals. Journal of Environmental Psychology, 38, 104-115.

Tanoglu, I., Basoglu, N. & Daim, T. (2010). Exploring Technology Diffusion; Case Of Information Technologies. International Journal of Information Technology & Decision Making, 9(2), 195-222.

Tapia-Fonllem, C., Corral-Verdugo, V., Fraijo-Sing, B., & Durón-Ramos, M. F. (2013). Assesing sustanable behavior and its correlaes: A measure of pro-ecological, frugal, altruistic and equitable actions. Sustainability, 5, 711-723.

Thompson, S. C. G., & Barton, M. A. (1994). Ecocentric and anthropocentric attitudes toward the environment. Journal of environmental Psychology, 14(2), 149-157.

Vantamay, N. (2018) Investigation and recommendations on the promotion of sustainable consumption behavior among young consumer in Thailand. Kasetsart Journal of Social Sciences, 39, 51-58.

Van Biljon, J., & Kotzé, P. (2008). Cultural in a mobile phone adoption and usage Model. Journal of Universal Computer Science, 14(16), 2650-2679.

Van de Kerk, G. & Manuel, A. R (2008). A Comprehensive index for a sustainable society: The SSI-the Sustainable Society Index. Ecological Economics, 66, 228-242.

Van der Werff, E., Steg, L. & Keizer, K. (2013). The value of environmental self-identity: The relationship between biospheric values, environmental self-identity and environmental preferences, intentions and behaviour. Journal of Environmental Psychology, 34, 55-63.

Venkatesh, V., Morris, M. G., Davis, G. B & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly. 27(3), 425-478.

Venkatesh, V., Thong, J. Y., Chan, F. K., Hu, P. J. H., & Brown, S. A. (2011). Extending the two-stage information systems continuance model: Incorporating UTAUT predictors and the role of context. Information Systems Journal, 21(6), 527-555.

Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS quarterly, 36(1), 157-178.

Vermeir, I. & Verbeke, W. (2006). Sustainable Food Consumption: Exploring the Consumer “Attitude-Behavioral Intention” gap. Journal of Agricultural and Environmental Ethics, 19, 169-194.

Vicente-Molina, M. Sainz, A & Izagirre-Olaizola (2018). Does gender make a different in pro-environmental behavior? The case of the Basque Country University students. Journal of Cleaner Production, 176, 89-98.

Wang, S. C., Sy, E. & Fang, K. (2010). The post-adoption behavior of online knowledge community: Decomposing customer value. Journal of Computer Information Systems, 51(2), 60-70.

White, K. & Simpson, B. (2013). When do (and don't) normative appeals influence sustainable consumer behaviors? Journal of Marketing, 77, 78-95.

Wu, C.S., Zhou, X. & Song, M. (2016). Sustainable consumer behavior in China: An empirical analysis from the Midwest regions. Journal of Cleaner Production, 147-165.

Yang, S. (2013). Understanding undergraduate students' adoption of mobile learning model: A perspective of the extended UTAUT2. Journal of Convergence Information Technology, 8(10), 969-979.

Ye, C. & Potter, R. (2011). The Role of Habit in Post-Adoption Switching of Personal Information Technologies: An Empirical Investigation. Communication of The Association for Information Systems, 28(35), 585-610.

Yu, C.S. (2012). Factor affecting individual to adopt mobile banking: Empirical evidence from the UTAUT model. Journal of Electronic Commerce Research, 13(2), 104-121.

Zhou, T. (2011). An empirical of users' post-adoption behavior of mobile services. Behavior & Information Technology, 30(2), 241-250.




DOI: http://dx.doi.org/10.12695/jmt.2018.17.1.2

Refbacks

  • There are currently no refbacks.