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Given the progressive growth of e-commerce sales and the rising interest in omni-channel (OC) retailing amongst academics and practitioners, the purpose of this paper is to provide an up-to-date literature review on the logistics involved when moving towards OC retailing. Specifically, we have examined the main issues relating to e-fulfilment and distribution, highlighting how the topic has been developed over time, and identifying the most promising research streams for the near future.

A systematic literature review methodology is adopted. The review is based on 58 papers published from 2002 to 2017 in 34 international journals. The papers were analysed and categorised according to their defining characteristics, methodologies adopted and themes addressed.

This paper provides an overview of the main issues relating to e-fulfilment and distribution experienced by companies shifting towards OC, mapped along three dimensions: distribution network design, inventory and capacity management, delivery planning and execution. Despite the growing interest in OC retailing, many key topics are still under-represented, including the evolution of retail distribution networks, assortment planning over multiple channels, the logistics role played by stores in the delivery process and the interplay between different logistics aspects.

The paper offers insights into the main logistics issues in MC and OC retailing, as well as highlights potential fields for further investigation. From a managerial perspective, this paper is useful for retailers adopting an OC approach to guide their future efforts concerning their business logistics model.

Demand forecast methodologies have been studied extensively to improve operations in e-commerce. However, every forecast inevitably contains errors, and this may result in a disproportionate impact on operations, particularly in the dynamic nature of fulfilling orders in e-commerce. This paper aims to quantify the impact that forecast error in order demand has on order picking, the most costly and complex operations in e-order fulfilment, in order to enhance the application of the demand forecast in an e-fulfilment centre.

The paper presents a Gaussian regression based mathematical method that translates the error of forecast accuracy in order demand to the performance fluctuations in e-order fulfilment. In addition, the impact under distinct order picking methodologies, namely order batching and wave picking. As described.

A structured model is developed to evaluate the impact of demand forecast error in order picking performance. The findings in terms of global results and local distribution have important implications for organizational decision-making in both long-term strategic planning and short-term daily workforce planning.

Earlier research examined demand forecasting methodologies in warehouse operations. And order picking and examining the impact of error in demand forecasting on order picking operations has been identified as a research gap. This paper contributes to closing this research gap by presenting a mathematical model that quantifies impact of demand forecast error into fluctuations in order picking performance.

This study aims to determine the effects of e-service quality (e-SQ) in fashion e-storescapes (online retail store environments) on e-customer citizenship behaviour (e-CCB) and e-repurchase intention (e-RI), as well as to investigate whether e-CCB plays a mediating role in these relations.

In line with the aim of this study, the relationships between the variables were examined by using the mediation effect analysis within the framework of a Stimulus-Organism-Response (S-O-R) model. An online survey was developed based on the scales with proven reliability and validity. The convenience sampling method on social media sites was used to collect data for analysis from 500 volunteer participants who had previously shopped online for fashion brands between 1st and 30th September 2020. The partial least squares (PLS) path analysis method was used to analyse the research model.

This study revealed that the dimensions of e-SQ, except e-efficiency and e-privacy, have positive effects on all dimensions of e-CCB. Concurrently, this study identified that the dimensions of e-CCB have positive effects on e-RI. Subsequently, the study determined that the dimensions of e-CCB played a full mediator role between the dimensions of e-SQ and e-RI.

The primary limitation of this study is that the study is based on the perceptions of fashion e-customers about the customers' e-tailing (online retailing) experiences, which is only reached via the convenience sampling method.

In this study, the positive relationships between e-CCB and e-RI were accepted as the acquirements of e-SQ in fashion e-storescapes. In this context, the reasons for fashion customers to repurchase from an e-storescape are not only low prices and product variety, but also the exhibition of extra-role behaviours in the form of e-SQ acquirements. These implications, which will attract the attention of fashion e-tailers, may enable the e-tailers to modify the e-SQ of e-tailers' e-storescapes based on customer feedback.

This study is unique as the study draws on the S-O-R theory to provide insight into the stimulus effect of e-storescape e-SQ on the mediating role of e-CCB. The current study is expected to contribute to the literature by highlighting the reasons for changes in consumption attitudes, intentions and behaviours amongst customers that prefer e-tailing for fashion apparel shopping.

The growth in online shopping has presented challenges for physical distribution service quality (PDSQ) provided by retailers, including both multi‐channel and pure players, and logistics service providers (LSPs). Issues emerging from a consumer survey regarding electronic physical distribution service quality (e‐PDSQ) informed this paper's research, which aims to consider this phenomenon.

The research study employed qualitative interviews with retailers, logistics service providers and experts to consider the consumer survey findings and discuss the current market situation and suggestions for improvement.

Interviewees confirmed that pure players offer better e‐PDSQ than multi‐channel retailers as well as important constructs of availability, time, condition and returns regarding this phenomenon, but also raised issues of relationships between retailers and LSPs and costs regarding service trade‐offs.

The research undertaken was exploratory and will require further and wider testing in other contexts and geographical areas to assure external validity.

The findings have strategic importance for online retailers and LSPs to achieve competitive advantage and offer superior customer service.

This paper extends earlier, limited work on e‐PDSQ and considers retailer and LSP points of view concerning previous research into consumer expectations and perceptions of e‐PDSQ.

The purpose of this paper is to analyse the interaction of two topics: supply chain management (SCM) and the internet. Merging these two fields is a key area of concern for contemporary managers and researchers. They have realised that the internet can enhance SCM by making real time information available and enabling collaboration between trading partners.

A literature review in prestigious academic journals in Operations Management and Logistics has been conducted for the period 1995‐2005. The objective is to collect, organise and synthesise existing knowledge relating to SCM and the internet.

The paper describes the impact that the internet has on the different processes that SCM embrace. The literature review undertaken on the topic has shown that e‐SCM has been acknowledged as an outstanding topic in the supply chain literature in the most prestigious operations management and logistics journals, especially after year 2000. The main topics have been e‐procurement, e‐fulfilment and information flows.

The value of this paper is to define e‐SCM, to analyse how research in this area has evolved during the period 1995‐2005 and to identify some lines of further research.

Purpose – The core theme of this paper is that, to provide the best kind of process systems to support a “quality” healthcare provider, it is essential to “engineer‐in” quality as early as possible – effectively at the specification and design phase. It extends to the healthcare context a novel approach, which provides a transparent model of how an envisioned structure delivers services and fulfils stakeholders' needs. Design/methodology/approach – In the paper a new construct, developed by the authors, is described and then extended to the healthcare sector. The underpinning theories of the new construct are discussed and examples for a health care service are presented. Findings – The paper finds that there is a full literature on quality and TQM, but relatively little offers practical tools for supporting design and implementation processes that enhance the likelihood of achieving quality operations. The presentation and discussion of the construct presented argue that the approach presented here can achieve this aim. Practical implications – In the paper, as with many ventures, organisations charged with healthcare delivery are presently facing the dual challenges of seeking to satisfy widely extended stakeholder groups and implement complex ICT systems to support e‐fulfilment. To ensure that quality is “engineered‐in”, a holistic, integrated and quality approach is required, and Total Quality Management (TQM) principles are the obvious foundations for this. Originality/value – The paper shows that electronically delivered information and funds transaction systems do offer healthcare organisations great potential, but many large integrated ICT systems have notoriously disappointed the stakeholder health care service. An integrative view of the delivery system design, based on the literature from strategic management, business process design, e‐business design, and TQM, has yielded a unique construct, which integrates these views in a transparent model readily accessible to the various domain experts. The specific role of this in healthcare fulfilment system design applications is demonstrated.

The purpose of this paper is to expand existing research on fulfillment systems for multi-channel retailers by combining analysis of customer expectation (CE) with economic performance (EP) aspects.

This exploratory study is based on a literature review of supply chain management and marketing combined with the results of an online questionnaire submitted to French and Chinese multi-channel retailers from two sectors.

The results enable the authors to identify 13 important key performance indicators (KPIs) used by multi-channel retailers for measuring e-fulfillment system performance and also to determine under which of the EP or CE criteria these KPIs might be linked.

Although the sample size is limited, this research is intended to be exploratory, based on the practices of supply chain and marketing managers. Moreover, the results do not address interdependencies among the different KPIs.

E-fulfillment is a major challenge for multi-channel retailers; it is cost intensive and critical for customer satisfaction. The identified set of KPIs enables retailers to choose those relevant to their particular infrastructure.

A limited number of scholarly works have explored the operational implications of online retailing in terms of e-fulfillment in a multi-channel context. In order to manage such supply chains efficiently and effectively, traditional measures of supply chain performance need to be adapted. This study expands existing knowledge by developing measurement systems and metrics for the evaluation of supply chain performance in this context.

The purpose of this paper is to derive monetary benchmarks and managerial implications for omni-channel retailers’ B2C e-fulfillment strategies by investigating the trade-offs between lead time, delivery convenience and total price including shipment in the context of online electronics retailing.

Based on a choice-based conjoint analysis among 550 US online shoppers, the monetary values of lead time and convenience were calculated in a log-log regression model. In addition, latent class segmentation was applied to identify consumer segments according to their differing e-fulfillment preferences.

From a consumer perspective, the analysis suggests that price is the most important criteria in omni-channel retailer selection, followed by lead time and convenience. The value of time is, on average, $3.61 per day. Regarding convenience, the results indicate that delivery to the home is highly preferred over pick-up options. The value of the consumer’s travel time was estimated at $10.62 per hour. The latent class segmentation identified four segment groups with different preferences.

To validate the findings, future research could analyze real data from omni-channel retailers’ customers’ buying behavior. It should also be interesting to extend the research to other price ranges, market segments and e-fulfillment factors, such as return options, shop ratings and membership programs aiming for further generalization.

The findings guide omni-channel retailers to focus on efficient B2C e-fulfillment strategies. Considerable competitive advantages may be gained by reducing lead times and offering convenient delivery in line with the lead time valuation of the identified customer segment.

This study fills gaps in the academic research of consumer behavior in retailer selection, which has primarily concentrated on the choice between “brick-and-mortar” and online sales channels. It paves the way for a more service-oriented perspective in omni-channel retailing research.

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.

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.

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.

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.

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.

There is limited literature linking e-fulfillment and product type with postpurchase consumer behavior measures like loyalty, even though there has been a rapid increase in e-tailing. E-fulfillment is defined in literature as a sequence of processes. Each process in this sequence is expected to have a different impact on consumer loyalty across product type. Thus relative importance of e-fulfillment processes leading to consumer loyalty. The purpose of this study is to investigate the impact of e-fulfillment on consumer loyalty across two product types: “standard, regular” and “physical product” (e.g. book, clothing, etc.) and “standard, nonregular” and “physical product” (e.g. computer, refrigerator, etc.) using the peak-end rule theory for an e-tailer.

To know the consumer loyalty for e-fulfillment across the two product types, the partial least square-structural equation modeling approach aided by the SmartPLS 3 tool was used for data analysis as it avoids biases in the parameter estimation in regression analysis. A total of 603 consumer responses through an online and physically administered questionnaire were obtained and were used for the empirical analysis.

Results indicate that for standard, nonregular and physical products, all the e-fulfillment components (customization strategy, website quality, distribution strategy, last mile delivery and return management) positively impact consumer loyalty. Except for the customization strategy, for standard regular and physical product types, all other e-fulfillment components positively impact consumer loyalty.

This study will be helpful to e-tail managers to configure the e-fulfillment components according to product types, thereby increasing consumer loyalty.

While some e-fulfillment components have been linked to consumer loyalty in literature, there is no study establishing linkages between e-fulfillment as a construct and consumer loyalty across product types. This has implications for decision makers in e-tail as the study provides e-fulfillment strategy customization across product types for achieving consumer loyalty in e-tail, a key marketing metric.