Applying AHP-TOPSIS Approach for Selecting Marketplace based on Preferences of Generation Z

Authors

  • Wandhansari Sekar Jatiningrum (Scopus ID: 57192999049) Universitas Ahmad Dahlan
  • Sri Nastiti Andayani Sesanti Retno Utami Universitas Diponegoro
  • Wardatus Sholihah Universitas Ahmad Dahlan
  • Ashof Abdulmajid Universitas Ahmad Dahlan
  • Reinna Desstryani Universitas Ahmad Dahlan

DOI:

https://doi.org/10.31315/opsi.v15i1.6824

Keywords:

AHP-TOPSIS, generation Z, marketplace

Abstract

The increasing ease of internet access leads to good opportunities for marketplace growth. The marketplace's popularity is gaining among many people, especially Generation Z, and makes the marketplace becomes their primary solution for online shopping. According to the massive amount of generation Z and their lives that get used to sophisticated technology, this generation can become the critical marketplace consumer in the upcoming years. This research examines the selection of generation Z’s preferences towards the marketplace using the AHP-TOPSIS approach. The selection was based on three criteria: service quality, information, and price. AHP approach was applied to calculate each criterion's weight, while TOPSIS was used to obtain the alternative ranking of marketplaces. The result shows that service quality becomes the most influential criterion for selecting marketplace platforms. The weight of each criterion is service quality of 0.425, information quality of 0.280, and price of 0.295. Shopee is chosen as the most suitable marketplace platform for Generation Z. The proposed model of this research can allow the business players to effectively select the suitable marketplace for selling their products targeted to Generation Z.

References

Adellia, N., & Prasetio, A. (2016). Customer Perception Mapping Analysis of Indonesian E-commerce Marketplace Sites based on Attributes Usability , Site Design , Information Quality , Trust , and Empathy (Case Study of Tokopedia, Bukalapak, Elevania, Qoo10, and Rakuten). 2016 4th International Conference on Cyber and IT Service Management, 1–7. IEEE.

Appsflyer. (2021). The State of E-Commerce App Marketing.

Chadawada, R., Sarfaraz, A., Jenab, K., & Pourmohammadi, H. (2015). Integration of AHP-QFD for selecting facility location. The Eletronic Library, 22(3), 411–425.

Frieyadie, Sukmawati, A. H., & Nurajijah. (2020). Combination of the SAW and TOPSIS Method for Determining the Best Marketplace Recommendations. Journal of Physics: Conference Series, 1641(1). https://doi.org/10.1088/1742-6596/1641/1/012004

Gustavsson, M., & Wänström, C. (2009). Assessing information quality in manufacturing planning and control processes. International Journal of Quality and Reliability Management, 26(4), 325–340.

Hasan, A. (2008). Marketing. Yogyakarta: Penerbit MedPress.

Ishak, A., Ginting, R., & Wanli, W. (2021). Evaluation of e-commerce services quality using Fuzzy AHP and TOPSIS. IOP Conference Series: Materials Science and Engineering, 1041(1), 012042. https://doi.org/10.1088/1757-899x/1041/1/012042

Jatiningrum, W. S., Astuti, F. H., Sabiq, C. S., Andika, A. L., Adityo, L. B., & Mastrisiswadi, H. (2019). Consumer Preference for Mocaf Packaging using Analytical Hierarchy Process (AHP). Jurnal Ilmiah Teknik Industri, 18(2), 153–160.

Korgaonkar, P. K., & Wolin, L. D. (1999). A Multivariate Analysis of Web Usage. Journal of Advertising Research, 39(2), 53–68.

Kusumawardani, R. P., & Agintiara, M. (2015). Application of Fuzzy AHP-TOPSIS Method for Decision Making in Human Resource Manager Selection Process. Procedia Computer Science, 72, 638–646.

Lokadata.id. (2020). Pasar E-Commerce Terbesar Indonesia dari Milenial. Retrieved from Lokadata website: https://lokadata.id/artikel/pasar-e-commerce-terbesar-indonesia-dari-milenial

Michael, D. (2019). Where Millennials end and Generation Z begins | Pew Research Center. Pew Research Center, 1–7.

Mohapatra, S. (2013). E-Commerce Strategy. In E-Commerce Strategy (pp. 155–171). New York: Springer Science Business Media.

Narti, Sriyadi, Rahmayani, N., & Syarif, M. (2019). Pengambilan Keputusan Memilih Sekolah Dengan Metode AHP. 6(1), 143–150.

Prakash, C., & Barua, M. K. (2015). Integration of AHP-TOPSIS method for prioritizing the solutions of reverse logistics adoption to overcome its barriers under fuzzy environment. Journal of Manufacturing Systems, 37, 599–615.

Ramseook-Munhurrun, P., Naidoo, P., & Nundlall, P. (2010). A proposed model for measuring service quality in secondary education. International Journal of Quality and Service Sciences, 2(3), 335–351.

Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal Services Science, 1(1), 83–98. https://doi.org/10.1108/JMTM-03-2014-0020

Siew, L. W., Bakar, M. A. Bin, Hoe, L. W., Wai, C. J., & Lee, M. H. (2018). Evaluation on the preference of coffee shop among the undergraduate students with analytic hierarchy process model. International Journal of Supply Chain Management, 7(4), 209–215.

Susanto. (2004). Information quality is defined as an ability of a company to satisfy the customers’ expectations towards stated and implied needs of information. Bandung: Penerbit Linggar Jaya.

Tamrakar, S., Tawari, D. A., & Tandon, P. (2014). Application of Analytical HIERARACHY Process in Industries n. Ijmer, 4(3), 28–32.

TrenAsia. (2021). Top 10 Best Selling E-Commerce 2021 in Indonesia: Tokopedia Becomes the Champion, Shopee Couped.

Ulfa, M. A., Selo, & Hidayat, M. (2021). K-MEANS APPROACH ( CASE STUDY : SHOPEE ). ASEAN Journal of System Engineering, 5(2), 31–38.

Vimal, J., Chaturvedi, V., & Dubey, A. K. (2012). Application of TOPSIS Method for Supplier Selection in Manufacturing Industry. 2(5), 25–35.

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Published

2022-06-18

Issue

Vol. 15 No. 1 (2022): ISSN 1693-2102

Section

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