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Benchmarking sustainable E‐commerce enterprises based on evolving customer expectations amidst COVID‐19 pandemic

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  • Saurabh Pratap
  • Sunil Kumar Jauhar
  • Yash Daultani
  • Sanjoy Kumar Paul

Abstract

The 2019 coronavirus disease (COVID‐19) pandemic has seriously impacted the performance of all types of businesses. It has given a tremendous structural boost to e‐commerce enterprises by forcing customers to online shopping over visiting physical stores. Moreover, customer expectations of the digital and operational capabilities of e‐commerce firms are also increasing globally. Thus, it has become crucial for an e‐commerce enterprise to reassess and realign its business practices to meet evolving customer needs and remain sustainable. This paper presents a comprehensive performance evaluation framework for e‐commerce enterprises based on evolving customer expectations due to the COVID‐19 pandemic. The framework comprises seven primary criteria, which are further divided into 25 sub‐criteria, including two sustainability factors, namely, environmental sustainability and carbon emissions. The evaluation approach is then practically demonstrated by analyzing the case of three Indian e‐commerce firms. The results are obtained using a multi‐criteria decision‐making (MCDM) method, namely, Fuzzy VIKOR, to capture the fuzziness of the inherent decision‐making problem. Further, numerical analysis is conducted to evaluate and rank various e‐commerce enterprises based on customer expectations and satisfaction benchmarks. The findings explain the most important criteria and sub‐criteria for e‐commerce businesses to ensure customer expectations along with their economic and environmental sustainability.

Suggested Citation

  • Saurabh Pratap & Sunil Kumar Jauhar & Yash Daultani & Sanjoy Kumar Paul, 2023. "Benchmarking sustainable E‐commerce enterprises based on evolving customer expectations amidst COVID‐19 pandemic," Business Strategy and the Environment, Wiley Blackwell, vol. 32(1), pages 736-752, January.
  • Handle: RePEc:bla:bstrat:v:32:y:2023:i:1:p:736-752
    DOI: 10.1002/bse.3172
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    References listed on IDEAS

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    1. Charles O. Manasseh & Felicia C. Abada & Jonathan E. Ogbuabor & Josaphat U. J. Onwumere & Chinasa E. Urama & Okoro E. Okoro, 2018. "The Effects of Interest and Inflation Rates on Consumption Expenditure: Application of Consumer Spending Model," International Journal of Economics and Financial Issues, Econjournals, vol. 8(4), pages 32-38.
    2. Stevens, Jennifer L. & Spaid, Brian I. & Breazeale, Michael & Esmark Jones, Carol L., 2018. "Timeliness, transparency, and trust: A framework for managing online customer complaints," Business Horizons, Elsevier, vol. 61(3), pages 375-384.
    3. Paul, Sanjoy Kumar & Chowdhury, Priyabrata & Moktadir, Md. Abdul & Lau, Kwok Hung, 2021. "Supply chain recovery challenges in the wake of COVID-19 pandemic," Journal of Business Research, Elsevier, vol. 136(C), pages 316-329.
    4. Nicolas Poggi & David Carrera & Ricard Gavaldà & Eduard Ayguadé & Jordi Torres, 2014. "A methodology for the evaluation of high response time on E-commerce users and sales," Information Systems Frontiers, Springer, vol. 16(5), pages 867-885, November.
    5. Seetharaman, Priya, 2020. "Business models shifts: Impact of Covid-19," International Journal of Information Management, Elsevier, vol. 54(C).
    6. Qin, Juanjuan & Fu, Huiping & Wang, Ziping & Xia, Liangjie, 2021. "Financing and carbon emission reduction strategies of capital-constrained manufacturers in E-commerce supply chains," International Journal of Production Economics, Elsevier, vol. 241(C).
    7. Dmitry Ivanov & Alexandre Dolgui, 2020. "Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak," International Journal of Production Research, Taylor & Francis Journals, vol. 58(10), pages 2904-2915, May.
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    1. Yanlai Li & Zifan Shen & Cuiming Zhao & Kwai-Sang Chin & Xuwei Lang, 2024. "Understanding Customer Opinion Change on Fresh Food E-Commerce Products and Services—Comparative Analysis before and during COVID-19 Pandemic," Sustainability, MDPI, vol. 16(7), pages 1-22, March.

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