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1 – 10 of over 1000Min Zhang, Xujing Dai and Zhen He
E-retailing grows rapidly in recent years. The majority of previous research on e-retailing service recovery has been mainly focussed on the customers’ perspective. The purpose of…
Abstract
Purpose
E-retailing grows rapidly in recent years. The majority of previous research on e-retailing service recovery has been mainly focussed on the customers’ perspective. The purpose of this paper is to examine service recovery from the operations management perspective of the e-retailing industry in order to investigate the impact of an integrated service recovery system on e-retailers’ capability improvement and market performance.
Design/methodology/approach
Empirical data consists of a sample of 256 employees from a leading e-retailer in China. Structural Equation Model was used to verify the relationship between the integrated recovery system and employees’ job satisfaction and organizational citizenship behavior (OCB) as well as e-retailers’ capability improvement and market performance.
Findings
The empirical results reveal that e-retailers need to pay attention to establishing an integrated recovery system. The system can facilitate employee job satisfaction and OCB, ultimately the e-retailer’s market performance. However, the relationships between job satisfaction and OCB as well as market performance are found to be low in the context of e-retailing in China.
Originality/value
This research contributes to the effectiveness of an integrated service recovery system in the context of e-retailing and the important role played by employees during recovery process.
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Sunil Nandankar, Amit Sachan, Arindam Mukherjee and Arnab Adhikari
Although comprehensive work has been conducted in several scholarly journals in electronic service quality (e-SQ) measurement, there has been no cross-functional review of these…
Abstract
Purpose
Although comprehensive work has been conducted in several scholarly journals in electronic service quality (e-SQ) measurement, there has been no cross-functional review of these studies. The majority of the review studies focus on e-SQ assessment in the field of electronic retail. This paper explores and synthesizes e-SQ evaluation work across the various functional domains in the last two decades and maps critical methodological challenges. It further classifies the dimensions used by researchers in six broad categories for better comprehension.
Design/methodology/approach
To analyze and appreciate past e-SQ measurement research, a content assessment of the 50 most relevant research papers from various functional domains drawn from prestigious repositories was undertaken.
Findings
The results indicate shortcomings noticed in methodological issues in the e-SQ measurement research like research approaches, data analysis procedures, sampling methods, generation and purification of items, validity and reliability assessment, and dimensionality analysis. It further reveals that though e-SQ is multi-dimensional and context-specific, dimensions like content/information quality, website design, ease of use/usability, efficiency, security/and privacy, responsiveness, reliability, customer service, trust and fulfillment have been consistently cited in the reviewed studies across the various functional domains.
Originality/value
An assessment of 50 publications over the past 2 decades identifies key areas of concern in the existing research on e-SQ measurement in various functional domains for scholars and professionals. This study also provides a unique categorization of e-SQ dimensions used in various functional domains and has the potential to guide future research.
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Catherine J. Ashworth, Ruth Ä. Schmidt, Elke A. Pioch and Alan Hallsworth
This paper seeks to explore antecedents for online success and conceptualizes the stages by which a small‐sized “pure‐player” has achieved profitable and sustainable e‐retail in…
Abstract
Purpose
This paper seeks to explore antecedents for online success and conceptualizes the stages by which a small‐sized “pure‐player” has achieved profitable and sustainable e‐retail in the fashion sector by utilizing a multi‐niche strategy involving an e‐portfolio of five fashion‐related cyberstores.
Design/methodology/approach
This qualitative critical‐case utilizes the in‐depth interview technique and rich thematic data analysis to provide insight into e‐retail development, with conceptualizations inductively developed from the data. Findings are linked to business growth, e‐business strategy, portfolio management and entrepreneurship literatures.
Findings
Findings identify a staged, evolutionary approach to transactional cyberstore development and outline 20 key factors for e‐retail success. The “web‐weaving” process is conceptualized: this strategic “e‐portfolio management” approach identifies a multi‐niche opportunity for e‐retail, which spreads risk, maximizes revenue streams, utilizes knowledge economies/synergies across multiple‐web sites, promotes customer added value and offers potential for competitive advantage and sustainability for the smaller‐sized e‐retailer.
Research limitations/implications
This is an in‐depth study of a single, long‐standing e‐retailer maintaining superior retention levels across an international customer base. That this enterprise bucks current trends by surviving (when 75 per cent e‐retail ventures fail) adds validity to web‐weaving as a sustainability strategy. Future research should explore this phenomenon within a wider inter/intra‐niche context to further contribute to the enhancement of e‐retail strategic marketing/enterprise development.
Practical implications
Implications indicate that a (niche) e‐portfolio strategy is perceived as defensible, from an owner‐director perspective, for sustaining a fashion e‐retail enterprise. Targeting multiple‐niches via “web‐weaving” provides a clear route to critical‐mass and sustainability, which could prove a valuable lesson for many small e‐retailers – potentially providing a framework for internet‐strategy development in other marketing domains.
Originality/value
This research presents a rich picture of how an e‐retail enterprise, in a highly competitive/dynamic market, can develop and sustain transactional e‐business over the longer‐term – presenting obvious implications to SME retail/marketing management.
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Abhijeet Ghadge, Sujoy Bag, Mohit Goswami and Manoj Kumar Tiwari
An uncertain product demand in online retailing leads to loss of opportunity cost and customer dissatisfaction due to instances of product unavailability. On the other hand, when…
Abstract
Purpose
An uncertain product demand in online retailing leads to loss of opportunity cost and customer dissatisfaction due to instances of product unavailability. On the other hand, when e-retailers store excessive inventory of durable goods to fulfill uncertain demand, it results in significant inventory holding and obsolescence cost. In view of such overstocking/understocking situations, this study attempts to mitigate online demand risk by exploring novel e-retailing approaches considering the trade-offs between opportunity cost/customer dissatisfaction and inventory holding/obsolescence cost.
Design/methodology/approach
Four e-retailing approaches are introduced to mitigate uncertain demand and minimize the economic losses to e-retailer. Using three months of purchased history data of online consumers for durable goods, four proposed approaches are tested by developing product attribute based algorithm to calculate the economic loss to the e-retailer.
Findings
Mixed e-retailing method of selling unavailable products from collaborative e-retail partner and alternative product's suggestion from own e-retailing method is found to be best for mitigating uncertain demand as well as limiting customer dissatisfaction.
Research limitations/implications
Limited numbers of risk factor have been considered in this study. In the future, others risk factors like fraudulent order of high demand products, long delivery time window risk, damage and return risk of popular products can be incorporated and handled to reduce the economic loss.
Practical implications
The analysis can minimize the economic losses to an e-retailer and also can maximize the profit of collaborative e-retailing partner.
Originality/value
The study proposes a retailer to retailer collaboration approach without sharing the forecasted products' demand information.
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Reihaneh Alsadat Tabaeeian, Majid Mohammad Shafiee and Azarnoush Ansari
This paper aims to develop a validated scale that can help in measuring the gamified e-service quality (GE-SQ) in the e-retailing industry.
Abstract
Purpose
This paper aims to develop a validated scale that can help in measuring the gamified e-service quality (GE-SQ) in the e-retailing industry.
Design/methodology/approach
The paper uses a mixed-method approach to develop and validate a scale for GE-SQ. First, reviewing the literature and interviewing with 14 experts were conducted to explore the initial items and themes. A sample of 215 participants was collected from online customers in Iran. Explanatory factor analysis (EFA) was conducted to this sample to validate the categorized themes. Next, confirmatory factor analysis (CFA) was used to confirm the validity of the established dimensions by a sample of 549 online customers.
Findings
The results extracted 26 items and categorized them to 6 dimensions. “Ease of use”, “reliability”, “emotional appeal”, “interactivity”, “security” and “visual appeal” have been identified as the dimensions of the GE-SQ scale in the e-retailing industry. The validity of the developed scale containing 6 dimensions and 26 items was confirmed.
Originality/value
This research identified GE-SQ as a valid and reliable scale with six dimensions for measuring e-service quality in e-retailing. This finding has made significant academic contributions to the service quality and the retailing literature.
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Yong Lin, Jing Luo, Shuqin Cai, Shihua Ma and Ke Rong
The purpose of this paper is to explore the quality factors influencing customer satisfaction in the electronic commerce (e-commerce) context using a triadic view of…
Abstract
Purpose
The purpose of this paper is to explore the quality factors influencing customer satisfaction in the electronic commerce (e-commerce) context using a triadic view of customer-e-retailer-third-party logistics provider, and to investigate the impacts of service quality on customer satisfaction and loyalty in the e-retailing supply chain.
Design/methodology/approach
A literature review is used to determine the conceptual model and develop the measurement scales. Data are collected through a web survey mainly conducted in China. Structural equation modeling is used to analyze the collected data and test the research hypotheses.
Findings
The results verify the proposed service quality framework, consisting of two dimensions (electronic service (e-service) quality and logistics service quality), in the e-commerce context. The results indicate that e-service quality and logistics service quality are strongly linked to customer satisfaction; that is, with e-service and logistics service, respectively. e-Service quality positively impacts customer satisfaction with logistics services, but logistics service quality negatively impacts customer satisfaction with e-services. Moreover, customer satisfaction with e-services is positively associated with customer loyalty for both e-services and logistics services. However, customer satisfaction with logistics services has no direct impact on related customer loyalty, and negatively impacts customer loyalty with e-services.
Research limitations/implications
The survey focusses only on China; future data should verify whether different cultural backgrounds will impact the research results.
Practical implications
The results show that e-retailers should not only focus on e-service quality, but also logistics service quality, which is critical to the success of e-commerce.
Originality/value
A two-dimensional (e-service and logistics) service quality framework is proposed and empirically assessed in the context of the e-retailing supply chain. These impacts of the path of service quality on customer satisfaction and loyalty are highlighted.
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Sanjit Kumar Roy, Walfried M. Lassar and Gul T. Butaney
The purpose of the study is to develop and empirically test a model which examines the relationship between e-servicescape dimensions, website quality dimensions, website…
Abstract
Purpose
The purpose of the study is to develop and empirically test a model which examines the relationship between e-servicescape dimensions, website quality dimensions, website stickiness, website loyalty and word-of-mouth (WOM). The role of WOM in influencing consumer behaviour is documented in literature. However, despite its growing importance, research on the antecedents of WOM in the e-retail context is sparse.
Design/methodology/approach
Data were collected by circulating the questionnaire using an online survey from the graduate and undergraduate students enrolled in a large university in the northeastern USA. Out of 660 questionnaires distributed, 509 were usable. Data were analysed using confirmatory factor analysis and structural equation modelling.
Findings
Results show that website stickiness and website loyalty are two different constructs which form the immediate antecedents of WOM. Results also show the indirect effects of e-servicescape and website quality dimensions on WOM.
Practical implications
The findings of the study provides a better understanding of the factors likely to influence the WOM behaviour of e-retail store customers. Findings also provide valuable insights into the factors which managers need to focus on to make their e-retail website increasingly stickier.
Originality/value
The contribution of the paper lies in eliciting the differences between stickiness to and loyalty to retail websites and extending the research on e-servicescapes.
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Chengbo Wang, Zhaofang Mao, James O'Kane and Jun Wang
The purpose of this paper is to introduce a research exploring the important strategic elements and their prioritisation for e-retailers’ home delivery logistics process efficacy…
Abstract
Purpose
The purpose of this paper is to introduce a research exploring the important strategic elements and their prioritisation for e-retailers’ home delivery logistics process efficacy improvement.
Design/methodology/approach
The research was completed through focus group, survey and importance-performance analysis.
Findings
The research identified, confirmed and prioritised a set of explicitly important strategic elements currently deemed important by e-retailers for ensuring the efficacy of their home delivery logistics process in Chinese marketplace, and also referential to the other similar emerging marketplaces.
Research limitations/implications
The research contributes positively to the enrichment of the theoretical knowledge pool of e-retailers’ logistics performance improvement.
Practical implications
The research findings guide/inform the strategy development and implementation for e-retailers entering and/or operating in Chinese marketplace. And the findings can also be referential to the e-retail strategy development for entering and operating in other emerging markets similar to China’s. This point is particularly meaningful for those e-retailers that want to expand the outreaching and increase the popularity of their businesses in the global marketplace.
Originality/value
Corresponding to the much needed further research on e-retailing home delivery performance improvement, the research provides findings that add substantial new insights into the field, with a particular focus on China, as one of the emerging developing marketplaces.
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Khan Md. Raziuddin Taufique, Md. Mahiuddin Sabbir, Sarah Quinton and Syed Saad Andaleeb
Acknowledging previous scholarly focus on functional attributes in understanding technology acceptance behaviour, the current study aims to offer a novel perspective by…
Abstract
Purpose
Acknowledging previous scholarly focus on functional attributes in understanding technology acceptance behaviour, the current study aims to offer a novel perspective by integrating eight different dimensions of utilitarian and hedonic attributes to examine their influence in delivering a holistic web-based retail shopping experience.
Design/methodology/approach
The research model was tested and validated through data collected from 370 online shoppers across both hedonic and utilitarian product ranges. Hypotheses were tested using covariance-based structural equation modelling with multi-group analysis to examine the moderation effect.
Findings
The findings strongly support the model confirming eight new utilitarian and hedonic dimensions that influence web-based retail shopping behaviour. The findings also confirm that hedonic attributes remain important even for utilitarian product purchasing.
Practical implications
The key managerial implication is the demonstrated need to balance utilitarian and hedonic attributes in web-based retail platforms, where previously, there has been an overemphasis on functional features. Web-based retailers should consider the optimal blend of utilitarian (e.g. information quality) and hedonic (e.g. aesthetic) attributes in the design of a retail shopping site, irrespective of the product category.
Originality/value
This study integrates multiple dimensions of utilitarian and hedonic attributes into a single model and highlights the interplay of these attributes, thus extending the technology acceptance model. This paper also advances scholarship through its identification of attribute impact across different product categories.
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Rohit Titiyal, Sujoy Bhattacharya and Jitesh J. Thakkar
This paper aims to review the literature on “E-fulfillment” with respect to marketing and operations issues in the current dynamic and complex e-tailing environment and thereby…
Abstract
Purpose
This paper aims to review the literature on “E-fulfillment” with respect to marketing and operations issues in the current dynamic and complex e-tailing environment and thereby generate significant insights.
Design/methodology/approach
This paper is based on a systematic literature review on e-fulfillment focusing on marketing and operations issues therein. This systematic literature review consists of a critical review on e-fulfillment under planning (review question initialisation), searching (literature search), screening (literature evaluation), extraction and synthesis and reporting phases to conceptualise e-fulfillment. A total of 122 research articles have been reviewed to explore e-fulfillment and to develop key constructs and propositions.
Findings
This review provides the following three outcomes. First, the varied-fulfillment definitions have been critically reviewed, leading to synthesis, and thereby, an e-fulfillment definition is provided. Further, the variations for e-fulfillment across product types, which have been identified as a key variable for e-fulfillment, have been explored. Second, authors find five e-fulfillment components at the marketing and operations interface: website quality, customisation strategy, distribution strategy, last mile delivery and return management. Continuing with the e-fulfillment interface with marketing, the linkages between e-fulfillment and select post-purchase consumer behaviours measures across different product types have been reviewed. The paper thus with a focus on synthesising e-fulfillment literature from a process perspective emphasises the consumer behaviour metric for measuring e-fulfillment performance.
Practical implications
This study would help academicians, researchers, e-tailers and practitioners to understand e-fulfillment from a process perspective. For the researcher, it presents areas for future research by giving possible research directions in this emerging area. This study also brings out the impact of e-fulfillment according to product type on the post-purchase consumer behaviour measures, which will help e-tailers to link e-fulfillment to consumer behaviour metrics.
Originality/value
The paper classifies the fragmented literature to develop constructs and propositions for e-fulfillment. This is the first kind of study on e-fulfillment process and its impact on select post-purchase consumer behaviour measures across product types.
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