Data-driven insights from visualization of bibliometric analysis on consumer purchase decision
List of Authors
  • Ahmad Faiz Ghazali , Aishah Suhaimi

Keyword
  • consumer purchase decision, bibliometric analysis, visualization network, co-citation analysis

Abstract
  • The development of scientific research in the area of customer purchase decisions in computer sciences is one of the most important areas of study, accounting for 37.5% of all publications and expanding steadily over time. Identifying the possible area of interest and the significance of this research is essential. Through bibliometric analysis, this study aims to illustrate the scientific research on customer and buy decision. Using the Scopus database's VOSviewer programme and data analysis tool, the analysis was conducted. From 2002 to 2022, a total of 519 publications on consumer purchasing choice were retrieved from the Scopus database. To show the progression of research ideas in this discipline, co-citation analysis and co-word analysis were undertaken. Co-word analysis found seven major themes in the consumer purchase decision work based on the most commonly used keyword in the research, which are decision support system, purchase decision, consumer decision making, consumer behavior, consumer satisfactions, online reviews and online shopping. The findings of this study may help researchers understand the nature of consumer and purchase decision research related to computer science from across the world and suggest future research directions.

Reference
  • 1. Bobiak, M. (2015). The science of retail visual merchandising and consumer behavior. Retrieved from https://www.bigeyeagency.com/the-science-of-retail-visual-merchandising-and-consumer-behavior/ (2022, Sept 6).

    2. Fernqvist, F., & Ekelund, L. (2014). Credence and the effect on consumer liking of food – A review. Food Quality and Preference, 32, 340–353.

    3. Grunert, K. G., & Wills, J. M. (2007). A review of European research on consumer response to nutrition information on food labels. Journal of Public Health, 15(5), 385–399.

    4. Kotler, P. (2017). Principles of Marketing. Pearson Education. Seventh European Edition.

    5. Kotler, P. & Keller, L.K. (2016). Marketing Management. Pearson Education. Fifteenth Edition.

    6. Leung, X.Y., Sun, J., Bai, B. (2017). Bibliometric of Social Media Research: A Co-citation and Co-word Analysis. International Journal of Hospitality Management. 66, 35-45.

    7. Lombart, C., Labbe-Pinlon, B., Filser, M., Anteblian, B., & Louis D. (2018). Regional product assortment and merchandising in grocery stores: Strategies and target customer segments. Journal of Retailing and Consumer Services, 42, 117-132.

    8. Lulewicz-Sas, A. (2017). Corporate Social Responsibility in the Light of Management Science–bibliometric Analysis. Procedia Engineering. 182, 412-417.

    9. Lumen. (n.d.). The Consumer Decision Process. Lumen boundless marketing. Retrieved from https://courses.lumenlearning.com/boundlessmarketing/chapter/the-consumer-decision-process/ (2019, Sept 15).

    10. Oh, J., Fiorito, S. S., Cho, H., & Hofacker, C. F. (2008). Effects of design factors on store image and expectation of merchandise quality in web-based stores. Journal of Retailing and Consumer Services, 15, 237-249.

    11. Perianes-Rodriguez, A., Waltman, L., & van Eck, N.J. (2016). Constructing Bibliometric Net-works: A Comparison Between Full and Fractional Counting. Journal of Informetrics. 10, 1178-1195.

    12. Ram Komal Prasad and Manoj K. Jha. (2014). Consumer buying decision models: A descriptive study. International Journal of Innovation and Applied Studies ISSN 2028-9324, 6(3), pp. 335-351 © 2014 Innovative Space of Scientific Research Journals.

    13. Shma. (2012). Management Education, Management Articles and Institutes. Retrieved from https://managementation.com/5-stages-ofconsumer-buying-decision-process/ (2019, Sept 12).

    14. Steenkamp, J. B. E. M. (1990). Conceptual model of the quality perception process. Journal of Business Research, 21(4), 309–333.

    15. Suhaimi, A., Othman, A. A., Sundram, V. P. K., & Ghazali, A. F. (2021). Consumer’s purchase decision based on intrinsic and extrinsic factors related to food safety issues: A review, IOP Conference Series: Earth and Environmental Science 756 (1), 012010.

    16. Van Eck, N.J., Waltman, L. (2014). Visualising Bibliometric Networks. In: Y. Ding, R. Rousseau, D. Wolfram. (eds.) Measuring scholarly impact: Methods and practice, pp. 285-320. Springer.

    17. .Wu, I.-L., Chiu, M.-L., & Chen, K.-W. (2020). Defining the determinants of online impulse buying through a shopping process of integrating perceived risk, expectation confirmation model, and flow theory issues. International Journal of Information Management, 52, 1-12.

    18. Zhu, L. (2009). Effective visual merchandising in fashion retailing (Doctoral thesis, University of Leeds, United Kingdom.