Seller heterogeneity in electronic marketplaces: A study of new and experienced sellers in eBay

Góes, Paulo; Tu, Yanbin; Tung, Y. Alex

doi:10.1016/j.dss.2013.06.007

Cited by 17 publications

(9 citation statements)

References 49 publications

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“…This variable quantifies the seller's effectiveness in adhering to the service levels of the e‐commerce platform in terms of the delivery schedule committed to them (GeM, 2019). The expected delivery time is an essential metric of trust (Chen & Dhillon, 2003; Goes et al, 2013; Yu & Singh, 2002). We calculate a single variable rating at each completed transaction level.…”

Section: Terminology Variable Literature Review Theory and Hypothesis...mentioning

confidence: 99%

“…There is an overwhelming body of literature on ratings and their importance in determining the quality of products, services and sellers. Numerous studies have demonstrated that consumer ratings and reviews impact purchasing behaviour and intentions (Chatterjee, 2019; Goes et al, 2013; Park et al, 2007; Von Helversen et al, 2018). Von Helversen et al (2018) investigate hypothetical online purchasing decisions of younger and older adults using product attributes, average consumer ratings and single affect‐rich positive or negative consumer reviews.…”

Section: Introductionmentioning

confidence: 99%

“…It is found that younger adults prefer products with better attributes and higher average ratings. In addition, new sellers are in a disadvantageous situation compared with experienced sellers (Goes et al, 2013). The quality of online reviews positively affects consumers' purchasing intention (Park et al, 2007).…”

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confidence: 99%

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E‐commerce sellers' ratings: Is user feedback adequate?

Das

Kumar

2023

Int J Consumer Studies

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The literature on the theory of public procurement points out two well-known informational problems arising out of information asymmetry: (i) adverse selection and (ii) moral hazard. To reduce these issues and foster credibility and trust in the procurement process while maintaining quality and efficiency in public procurement, e-procurement platforms have turned to reputation or rating systems. Therefore, the research and design of such rating systems are crucial. In this study, we discuss the theoretical underpinnings of procurement and employ the information-theoretic, regression analysis, artificial neural network and principal component analysis (PCA) approaches to estimate the weights of the variables entering the rating system. Using real data from Government e-Marketplace, a business-to-business public e-commerce portal, we empirically determine the weights of the rating variables derived from the transaction-level and user feedback data for sellers. The weights obtained from the PCA are the most applicable compared with the other three methods. We compare the old rating system with the newly proposed design using the Wilcoxon signed-rank test. This results in a statistically significant difference between the two ratings. The canonical correlation and Wilks' trial reveal that the ratings derived from transaction-level data and user feedback are uncorrelated to a great extent. Hence, considering only transaction-level data or user feedback is unlikely to divulge sellers' intrinsic worth. E-commerce platforms can use this approach to quickly implement methods to obtain rating scores on a real-time basis for sellers on online platforms.

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Section: Terminology Variable Literature Review Theory and Hypothesis...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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E‐commerce sellers' ratings: Is user feedback adequate?

Das

Kumar

2023

Int J Consumer Studies

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“…A careful reading of the papers extracted from the search process enabled the authors to shortlist ten studies, on the strength of which the research gap identification and finalization of the theme in the context of the current study were materialized. These studies are Che et al (2019), Gao et al (2018), Yechiam et al (2017), Munson and Jackson (2015), Bartezzaghi and Ronchi (2005), Wongkitrungrueng et al (2020), Tucker and Massad (2004), Dholakia et al (2002), Goes et al (2013) and Onur et al (2020). Annexure 1 provides a comparative view of prominent online marketplace-based literature in terms of primary objectives, broad methodology adopted and unique contribution.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Seller experience assessment in online marketplace: a scale development study

Kumar

Sikdar

Saha

2021

BIJ

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PurposeRecent decade has witnessed exponential growth in e-commerce segment, leading to emergence of various online selling platforms catering to diverse product requirements of customers. Such a development has provided impetus to both existing businesses and newly established ventures to make available their offerings through online selling platforms with a view to improve the reach of their products. This study is an attempt to identify the experience of registered vendors with the online marketplaces. It aims to develop and validate a scale to measure vendor's experience with e-commerce platforms.Design/methodology/approachAs a part of the scale development process, relevant literature sources were scanned to spot the precise knowledge gap and to put in place a sound theoretical background for the study. Thereafter, a scientific approach was adopted for scale creation. First, the scale items were identified through interviews of vendors registered with major online selling platforms and other academic experts pertaining to the marketing domain. Subsequently, major dimensions of seller experience were identified through exploratory factor analysis (EFA) applied on data collected from active vendors by the means of a structured survey instrument. The final data set was subjected to confirmatory factor analysis (CFA) in a bid to validate the scale.FindingsThe study’s outcomes reveal that seller experience in an online marketplace can be best captured by a multidimensional scale characterized by six major dimensions. These are “Registration,”; “Product Listing”; “Pricing Autonomy”; “Ease of Pick-up and Delivery”; “Credit of Receivables” and “Vendor Assistance.” A proper emphasis to continually improve upon these dimensions by the e-commerce platforms is expected to enhance the utility and overall experience of vendors from such platforms. Existence of a mutually beneficial relationship between vendors and online marketplaces will help marketplaces to mitigate concerns like nonfulfillment of orders and dispatch of substandard products.Originality/valueSustainable long-term relations between vendors and online marketplaces hold the key for such marketplaces to render error-free and delightful service on each individual order received. Seller experience of registering and operating on such e-marketplaces inspite of playing a defining role in vendor–marketplace relations has received scant attention of researchers, both in academia and industry till date. The present research is a seminal attempt to address this gap in marketing literature and offer additional know-how.

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“…Another kind of equilibrium arises when the information-seeking consumers’ quantity is less. Goes et al (2013) classify sellers in the electronic marketplaces into new and experienced seller groups and compare their auction performance based on three outcome measures: success rates, ending prices and feedback ratings. Through empirical analysis they show that the performance of new sellers is worse than that of experienced sellers in all three measures.…”

Section: Literature Reviewmentioning

confidence: 99%

Cooperation strategies for e-commerce platforms with seller classification

Sun

2016

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Purpose The purpose of this paper is to study the cooperation and pricing strategies for e-commerce platforms when considering seller classification. Design/methodology/approach E-commerce platforms serve to facilitate trade and generate revenue from the participants. By classifying the sellers in the market into two types (the individual sellers vs the professional sellers), the authors examine how the interaction between the two types of sellers affects the platform’s cooperation and pricing decisions. Specifically, the authors compare two cooperation strategies for the platform: cooperating only with the professional sellers (strategy I); and cooperating with both the two types of sellers (strategy II). Findings When the platform attractiveness for the professional sellers is high enough, strategy II is absolutely beneficial than strategy I; whereas when the platform attractiveness for the professional sellers is low and the performance requirement of the individual sellers is relatively high, strategy I will be more beneficial. Practical implications For a platform choosing strategy II, it should make effort to differentiate between the different types of sellers by the product or service quality. Originality/value The paper is among the first to study the cooperation and pricing strategies for the e-commerce platform with seller classification.

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Seller heterogeneity in electronic marketplaces: A study of new and experienced sellers in eBay

Cited by 17 publications

References 49 publications

E‐commerce sellers' ratings: Is user feedback adequate?

E‐commerce sellers' ratings: Is user feedback adequate?

Seller experience assessment in online marketplace: a scale development study

Cooperation strategies for e-commerce platforms with seller classification

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