Main Article Content
Abstract
The desire to search for products sequentially is dominated by the gifts or rewards offered and the costs of searching for a product itself. A person's cognitive ability will affect when they stop searching for a product until they decide to buy without remembering. Advances in computerized technology that are more intensive, like today's purchase decisions, will be faster and better. Cognitive intelligence and preferences as well as long-term memory in superior decision making, if applied, will successfully avoid negative purchase decision results, where consumers who have good numeracy skills will produce more explicit mental representations; this process can be necessary for superior decision making. Resume of prior research in this study use 13 of manuscript form scopus databased index in year 2017 - 2021. The proposition in this mapping is Correlation Theory of planned behavior theory in the aspect of the field of management (e.g., marketing, Technology, Marketing, E-Commerce) make a positive contribution as a grounded theory to explain the variable antecedent and also its correlation to other theories.
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References
- Andor, M. A., Frondel, M., Gerster, A., & Sommer, S. (2019). Cognitive reflection and the valuation of energy efficiency. Energy Economics, 84, 104527. https://doi.org/https://doi.org/10.1016/j.eneco.2019.104527
- Bhatia, S., He, L., Zhao, W. J., & Analytis, P. P. (2021). Cognitive models of optimal sequential search with recall. Cognition, 210, 104595. https://doi.org/https://doi.org/10.1016/j.cognition.2021.104595
- Brooks, L. L. Z., & Johnston, J. (2012). Electronic copy available at : https://ssrn.com/abstract=3182015 Electronic copy available. Jm, 4(April), 1–55.
- Chen, A., Lu, Y., & Wang, B. (2017). Customers’ purchase decision-making process in social commerce: A social learning perspective. International Journal of Information Management, 37(6), 627–638. https://doi.org/https://doi.org/10.1016/j.ijinfomgt.2017.05.001
- Fu, H., Ma, H., Bian, J., Wang, C., Zhou, J., & Ma, Q. (2019). Don’t trick me: An event-related potentials investigation of how price deception decreases consumer purchase intention. Neuroscience Letters, 713, 134522. https://doi.org/https://doi.org/10.1016/j.neulet.2019.134522
- Guo, J., Wang, X., & Wu, Y. (2020). Positive emotion bias: Role of emotional content from online customer reviews in purchase decisions. Journal of Retailing and Consumer Services, 52, 101891. https://doi.org/https://doi.org/10.1016/j.jretconser.2019.101891
- Kowalczuk, P., Siepmann (née Scheiben), C., & Adler, J. (2021). Cognitive, affective, and behavioral consumer responses to augmented reality in e-commerce: A comparative study. Journal of Business Research, 124, 357–373. https://doi.org/https://doi.org/10.1016/j.jbusres.2020.10.050
- Medina, C. A. G., Martinez-Fiestas, M., Viedma-del-Jesús, M. I., & Casado Aranda, L. A. (2020). The processing of price during purchase decision making: Are there neural differences among prosocial and non-prosocial consumers? Journal of Cleaner Production, 271, 122648. https://doi.org/https://doi.org/10.1016/j.jclepro.2020.122648
- Moon, M. A., Khalid, M. J., Awan, H. M., Attiq, S., Rasool, H., & Kiran, M. (2017). Consumer ’ s perceptions of website ’ s utilitarian and hedonic attributes and online purchase intentions : A cognitive-. Spanish Journal of Marketing - ESIC, 21(2), 73–88. http://dx.doi.org/10.1016/j.sjme.2017.07.001
- Park, J., & Hill, W. T. (2018). Exploring the role of justification and cognitive effort exertion on post-purchase regret in online shopping. Computers in Human Behavior, 83, 235–242. https://doi.org/https://doi.org/10.1016/j.chb.2018.01.036
- Sobkow, A., Olszewska, A., & Traczyk, J. (2020). Multiple numeric competencies predict decision outcomes beyond fluid intelligence and cognitive reflection. Intelligence, 80, 101452. https://doi.org/https://doi.org/10.1016/j.intell.2020.101452
- Sohn, Y. S., & Ko, M. T. (2021). The impact of planned vs. unplanned purchases on subsequent purchase decision making in sequential buying situations. Journal of Retailing and Consumer Services, 59, 102419. https://doi.org/https://doi.org/10.1016/j.jretconser.2020.102419
- Wattanacharoensil, W., & La-ornual, D. (2019). A systematic review of cognitive biases in tourist decisions. Tourism Management, 75, 353–369. https://doi.org/https://doi.org/10.1016/j.tourman.2019.06.006
References
Andor, M. A., Frondel, M., Gerster, A., & Sommer, S. (2019). Cognitive reflection and the valuation of energy efficiency. Energy Economics, 84, 104527. https://doi.org/https://doi.org/10.1016/j.eneco.2019.104527
Bhatia, S., He, L., Zhao, W. J., & Analytis, P. P. (2021). Cognitive models of optimal sequential search with recall. Cognition, 210, 104595. https://doi.org/https://doi.org/10.1016/j.cognition.2021.104595
Brooks, L. L. Z., & Johnston, J. (2012). Electronic copy available at : https://ssrn.com/abstract=3182015 Electronic copy available. Jm, 4(April), 1–55.
Chen, A., Lu, Y., & Wang, B. (2017). Customers’ purchase decision-making process in social commerce: A social learning perspective. International Journal of Information Management, 37(6), 627–638. https://doi.org/https://doi.org/10.1016/j.ijinfomgt.2017.05.001
Fu, H., Ma, H., Bian, J., Wang, C., Zhou, J., & Ma, Q. (2019). Don’t trick me: An event-related potentials investigation of how price deception decreases consumer purchase intention. Neuroscience Letters, 713, 134522. https://doi.org/https://doi.org/10.1016/j.neulet.2019.134522
Guo, J., Wang, X., & Wu, Y. (2020). Positive emotion bias: Role of emotional content from online customer reviews in purchase decisions. Journal of Retailing and Consumer Services, 52, 101891. https://doi.org/https://doi.org/10.1016/j.jretconser.2019.101891
Kowalczuk, P., Siepmann (née Scheiben), C., & Adler, J. (2021). Cognitive, affective, and behavioral consumer responses to augmented reality in e-commerce: A comparative study. Journal of Business Research, 124, 357–373. https://doi.org/https://doi.org/10.1016/j.jbusres.2020.10.050
Medina, C. A. G., Martinez-Fiestas, M., Viedma-del-Jesús, M. I., & Casado Aranda, L. A. (2020). The processing of price during purchase decision making: Are there neural differences among prosocial and non-prosocial consumers? Journal of Cleaner Production, 271, 122648. https://doi.org/https://doi.org/10.1016/j.jclepro.2020.122648
Moon, M. A., Khalid, M. J., Awan, H. M., Attiq, S., Rasool, H., & Kiran, M. (2017). Consumer ’ s perceptions of website ’ s utilitarian and hedonic attributes and online purchase intentions : A cognitive-. Spanish Journal of Marketing - ESIC, 21(2), 73–88. http://dx.doi.org/10.1016/j.sjme.2017.07.001
Park, J., & Hill, W. T. (2018). Exploring the role of justification and cognitive effort exertion on post-purchase regret in online shopping. Computers in Human Behavior, 83, 235–242. https://doi.org/https://doi.org/10.1016/j.chb.2018.01.036
Sobkow, A., Olszewska, A., & Traczyk, J. (2020). Multiple numeric competencies predict decision outcomes beyond fluid intelligence and cognitive reflection. Intelligence, 80, 101452. https://doi.org/https://doi.org/10.1016/j.intell.2020.101452
Sohn, Y. S., & Ko, M. T. (2021). The impact of planned vs. unplanned purchases on subsequent purchase decision making in sequential buying situations. Journal of Retailing and Consumer Services, 59, 102419. https://doi.org/https://doi.org/10.1016/j.jretconser.2020.102419
Wattanacharoensil, W., & La-ornual, D. (2019). A systematic review of cognitive biases in tourist decisions. Tourism Management, 75, 353–369. https://doi.org/https://doi.org/10.1016/j.tourman.2019.06.006