Towards a Unified Model of Planned Obsolescence and Innovation Adoption in Consumer Behavior: A Literature Review and Conceptual Proposition using the Stimulus-Organism-Response Framework
DOI:
https://doi.org/10.24425/mper.2024.151128Abstract
This study investigates the controversial practice of planned obsolescence in the electronics industry. The study explores how frequent new model releases affect smartphone pricing and consumer loyalty, along with factors influencing smartphone upgrades such as perceived necessity, technological advancements, and pricing incentives. The research aims to understand consumer perspectives on planned obsolescence using Venkatesh’s decision-making theory in dynamic purchase conditions. Key questions include defining planned obsolescence, dissecting the innovation and consumer behavior model, and examining how these concepts relate to purchasing the next smartphone version. The literature review covers 23 planned obsolescence references (1993-2022) and 21 innovation adoption references (1943-2021). It touches on various aspects of planned obsolescence. The study advocates for consumer awareness, sustainable practices by producers, and a balanced business model that serves all interests while protecting the environment. A legal framework supporting a circular economy is highlighted as essential in combating planned obsolescence.References
Ajzen, I., & Fishbein, M. (2000). Attitudes and the Attitude-Behavior Relation: Reasoned and Automatic Processes. European Review of Social Psychology, 11(1), 1–33. DOI: 10.1080/14792779943000116
Alalwan, A.A., Dwivedi, Y.K., Rana, N.P., Lal, B., & Williams, M.D. (2015). Consumer adoption of Internet banking in Jordan: Examining the role of hedonic motivation, habit, self-efficacy and trust. Journal of Financial Services Marketing, 20(2), 145–157. DOI: 10.1057/fsm.2015.5
Blair, K.S., Smith, B.W., Mitchell, D.G., Morton, J., Vythilingam, M., Pessoa, L., ... & Blair, R.J.R. (2007). Modulation of emotion by cognition and cognition by emotion. Neuroimage, 35(1), 430–440.
Brock, J.M., Payne, E.R., Collopy, P.D., & Brown, O.C. (2019). Considering obsolescence in system design. Procedia Computer Science, 153, 317–324. DOI: 10.1016/j.procs.2019.05.085
Cegala, D.J. (1984). Affective and cognitive manifestations of interaction involvement during unstructured and competitive interactions. Communications Monographs, 51(4), 320–338.
Cho, W.-C., Lee, K.Y., & Yang, S.-B. (2019). What makes you feel attached to smartwatches? The stimulus– organism–response (S–O–R) perspectives. Information Technology & People, 32(2), 319–343. DOI: 10.1108/ITP-05-2017-0152
Christensen, C.M. (1997). The Innovator’s Dilemma: When New Technologies Cause Great Firms to Fail. Harvard Business Review Press.
Cooper, T. (2004). Inadequate Life?Evidence of Consumer Attitudes to Product Obsolescence. Journal of Consumer Policy, 27(4), 421–449. DOI: 10.1007/s10603-004-2284-6
Echegaray, F. (2016). Consumers’ reactions to product obsolescence in emerging markets: the case of Brazil. Journal of Cleaner Production, 134, 191–203. DOI: 10.1016/j.jclepro.2015.08.119
Eveland, JD (1986). Diffusion, Technology Transfer and Implementation. Knowledge: Creation, Diffusion, Utilization, 8(2), 303–322. DOI: 10.1177/107554708600800214.S2CID143645140
Fels, A., Falk, B., & Schmitt, R. (2016). Social Media Analysis of Perceived Product Obsolescence. Procedia CIRP, 50, 571–576. DOI: 10.1016/j.procir.2016.04.147
Ferlie, E., Gabbay, J., Fitzgerald, L., Locock, L., & Dopson, S. (2001). Evidence-based medicine and organisational change: an overview of some recent qualitative research. In: Organisational Behaviour and Organisational Studies in Health Care, Publisher: Palgrave, Editors: Lynn Ashburner
Gecit, B.B. (2020). Planned obsolescence: a keyword analysis. Pressacademia, 7(4), 227–233. DOI: 10.17261/Pressacademia.2020.1335
Giaretta, E. (2005). Ethical product innovation: in praise of slowness. The TQM Magazine, 17(2), 161–181. DOI: 10.1108/09544780510583236
Iizuka, T. (2007). An Empirical Analysis of Planned Obsolescence. Journal of Economics & Management Strategy, 16(1). DOI: 10.1111/j.1530-9134.2007.00137.x
Jacoby, J. (2002). Stimulus-Organism-Response Reconsidered: An Evolutionary Step in Modeling (Consumer) Behavior. Journal of Consumer Psychology, 12(1), 51–57. DOI: 10.1207/S15327663JCP1201_05
Karakus, U.E.; & Beyaz, R. (2021). Planned Obsolescence: Is It a Trap Set for the Consumer or Is It a Strategy Contributing to Social Development? Ege Akademik Bakis (Ege Academic Review), 181–191. DOI: 10.21121/eab.953538
Kim, A. (2021). Firm Utilization of Perceived Obsolescence. Global Journal of Economics and Business Administration, 36. DOI: 10.28933/gjeba-2021-09-1605
Kim, M.J., Lee, C.-K., & Jung, T. (2020). Exploring Consumer Behavior in Virtual Reality Tourism Using an Extended Stimulus-Organism-Response Model. Journal of Travel Research, 59(1), 69–89. DOI: 10.1177/0047287518818915
Kuppelwieser, V.G., Klaus, P., Manthiou, A., & Boujena, O. (2019). Consumer responses to planned obsolescence. Journal of Retailing and Consumer Services, 47, 157–165. DOI: 10.1016/j.jretconser.2018.11.014
Li, J. (2020). Blockchain Technology Adoption. Proceedings of the 2020 2nd International Conference on Management Science and Industrial Engineering, 253–260. DOI: 10.1145/3396743.3396750
Liu, Y., & Zhao, M. (2022). An obsolescence forecasting method based on improved radial basis function neural network. Ain Shams Engineering Journal, 13(6), 101775. DOI: 10.1016/j.asej.2022.101775
Makov, T., & Fitzpatrick, C. (2021). Is repairability enough? big data insights into smartphone obsolescence and consumer interest in repair. Journal of Cleaner Production, 313, 127561. DOI: 10.1016/ j.jclepro.2021.127561
Malinauskaite, J., & Erdem, F.B. (2021). Planned Obsolescence in the Context of a Holistic Legal Sphere and the Circular Economy. Oxford Journal of Legal Studies, 41(3), 719–749. DOI: 10.1093/ojls/gqaa061
Margarita, S., & Vargas, C. (2017). Planned obsolescenceThe age of the useless Planned obsolescence: The age of the useless. https://www.researchgate.net/publication/348309861
Maulia, R., & Halimatussadiah, A. (2018). Product obsolescence of cellular phone market in Indonesia: a consumer perspective. E3S Web of Conferences, 74, 05003. DOI: 10.1051/e3sconf/20187405003
Maycroft, N. (2009). Consumption, planned obsolescence and waste. http://eprints.lincoln.ac.uk/id/eprint/ 2062/1/Obsolescence.pdf
Monteiro, V. (2018). Does the planned obsolescence influence consumer purchase decisions? The effects of cognitive biases: bandwagons effect, optimism bias on consumer behavior. https://bibliotecadigital.fgv.br/dspace/bitstream/handle/10438/24214/Viviane%20 Monteiro%20_revis%C3%A3o%20final_2.pdf?sequence=3
Niklewicz-Pijaczyńska, M., Stańczyk, E., GardockaJałowiec, A., Gródek-Szostak, Z., Niemczyk, A., Szalonka, K., & Homa, M. (2021). A Strategy for Planned Product Aging in View of Sustainable Development Challenges. Energies, 14(22), 7793. DOI: 10.3390/en14227793
Permana, H., & Indrawati. (2020). Addition of lifestyle compatibility and trust in modified UTAUT2 model to analyze continuance intention of customers in using mobile payment. In Managing Learning Organization in Industry 4.0 (pp. 1–7). Routledge. DOI: 10.1201/9781003010814-1
Rivera, J.L., & Lallmahomed, A. (2016). Environmental implications of planned obsolescence and product lifetime: a literature review. International Journal of Sustainable Engineering, 9(2), 119–129. DOI: 10.1080/19397038.2015.1099757
Rogers Everett, M. (1995). Diffusion of innovations. Simon and Schuster
Ryan, B., & Gross, N.C. (1943). The diffusion of hybrid seed corn in two Iowa communities. Rural Sociology, 8(1), 15.
Sjöstrand, F., Lobo Pérez, J., & Nilsson, M. (2022). Planned Obsolescence: A deal-breaker for smartphone consumers or not? Master’s Programme of Sustainable Management Supervisor.
Schirtzinger, Warren (1989-08-22). Crossing the Chasm Summary. High Tech Strategies. Retrieved 2022-07-19
Soto Pineda, J.A., & Prada Salmoral, M. (2017). A Juridical “Theory” of Planned Obsolescence. SSRN Electronic Journal. DOI: 10.2139/ssrn.2966052
Tamilmani, K., Rana, N.P., & Dwivedi, Y.K. (2021). Consumer Acceptance and Use of Information Technology: A Meta-Analytic Evaluation of UTAUT2. Information Systems Frontiers, 23(4), 987–1005. DOI: 10.1007/s10796-020-10007-6
Islam, J., & Rahman, Z. (2017). The impact of online brand community characteristics on customer engagement: An application of Stimulus-Organism-Response paradigm. Telematics and Informatics, 34(4), 96–109. DOI: 10.1016/j.tele.2017.01.004
Utaka, A. (2000). Planned obsolescence and marketing strategy. Managerial and Decision Economics, 21(8), 339–344. DOI: 10.1002/mde.1007
Venkatesh, Thong, & Xu. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1), 157. DOI: 10.2307/41410412
Venkatesh, V., Thong, J., & Xu, X. (2016). Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead. Journal of the Association for Information Systems, 17(5), 328–376. DOI: 10.17705/1jais.00428
Waldman, M. (1993). A New Perspective on Planned Obsolescence. The Quarterly Journal of Economics, 108(1), 273–283. DOI: 10.2307/2118504
Wieser, H. (2016). Beyond Planned Obsolescence: Product Lifespans and the Challenges to a Circular Economy. GAIA – Ecological Perspectives for Science and Society, 25(3), 156–160. DOI: 10.14512/gaia.25.3.5
Wu, Y.-L., & Li, E.Y. (2018). Marketing mix, customer value, and customer loyalty in social commerce. Internet Research, 28(1), 74–104. DOI: 10.1108/IntR-08-2016-0250
Young, G. (2016). Stimulus–Organism–Response Model: SORing to New Heights. In Unifying Causality and Psychology (pp. 699–717). Springer International Publishing. DOI: 10.1007/978-3-319-24094-7_28
Zhao, Y., Wang, A., & Sun, Y. (2020). Technological environment, virtual experience, and MOOC continuance: A stimulus–organism–response perspective. Computers & Education, 144, 103721. DOI: 10.1016/j.compedu.2019.103721
Zhu, B., Kowatthanakul, S., & Satanasavapak, P. (2019). Generation Y consumer online repurchase intention in Bangkok. International Journal of Retail & Distribution Management, 48(1), 53–69. DOI: 10.1108/IJRDM-04-2018-0071
Zolghadri, M., Addouche, S.-A., Boissie, K., & Richard, D. (2018). Obsolescence prediction: a Bayesian model. Procedia CIRP, 70, 392–397. DOI: 10.1016/j.procir.2018.02.037
