Assessing technological innovation change on efficiency of top E-commerce site in the US market

T. Nguyen, Thanh-Tuan Dang, Tsung-Chieh Zheng, Chia-Nan Wang
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Abstract

The Covid-19 pandemic has fueled the shift towards a more digital world and incremental online shopping behavior changes. It also highlights how decision-makers can leverage the potential of digital transformation in retail and related areas to support business adaption and enhance their competitive ability. This paper measures the top eight e-commerce sites’ technological innovation efficiency in the US market from 2016 to 2019 using the data envelopment analysis (DEA) Malmquist model. The proposed model considers total assets, total equity, portfolio investment, and total liabilities as input factors, while total revenue and net income as output factors. This paper aims to provide comprehensive managerial implications to the e-commerce industry for assessing technological evolution effects with other competitors. The results show that the best performing e-commerce site is DMU2-eBay, followed by DMU4-Target and DMU1-Amazon. In contrast, DMU5-Groupon and DMU7-Costco showed the worst performance during the research periods. The current study assists e-commerce practitioners and investors in determining key performance indicators, aiming for effective strategies, and expediting the industry toward sustainability development.
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技术创新变化对美国市场顶级电子商务网站效率的影响
新冠肺炎大流行推动了人们向数字化世界的转变,也推动了网上购物行为的不断变化。它还强调了决策者如何利用零售及相关领域数字化转型的潜力,以支持业务适应并提高其竞争能力。本文采用数据包络分析(DEA) Malmquist模型,对2016 - 2019年美国市场排名前八的电子商务网站的技术创新效率进行了测量。该模型考虑总资产、总权益、组合投资和总负债为投入因素,总收入和净收入为产出因素。本文旨在为电子商务行业评估与其他竞争者的技术演进效应提供全面的管理启示。结果表明,表现最好的电商网站是DMU2-eBay,其次是DMU4-Target和DMU1-Amazon。相比之下,DMU5-Groupon和DMU7-Costco在研究期间表现最差。本研究有助于电子商务从业者和投资者确定关键绩效指标,制定有效的战略,加快电子商务行业的可持续发展。
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