Search results

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.

Companies are adopting innovative methods for responsiveness and efficiency in the public transport sector. The implementation of air-taxi services (ATS) in the transport sector is a move in this direction. Air taxis have a two-pronged advantage as they can reduce travel times by avoiding traffic congestion and have the potential to reduce carbon footprint compared to traditional modes of public transportation. Many companies worldwide are developing and testing ATS for practical applications. However, many factors may play a significant role in adopting ATS in the transport sector. This paper attempts to unearth such critical success factors (CSFs) and establish the interrelationships between these factors.

Fifteen CSFs were identified by systematically reviewing the literature and taking experts' input. An integrated multi-criteria decision-making (MCDM) technique, Decision-Making Trial and Evaluation Laboratory-Analytic Network Process (DEMATEL-ANP [DANP]) was used to envisage the causal relationships between the identified CSF.

The results reveal that Govt Regulations (GOR), Skilled Workforce (SKF) and Conductive Research Environment (CRE) are the most influential factors that impact the adoption of ATS in the transport sector.

The research implications of these findings will help practitioners and policymakers effectively implement ATS in the public transportation sector.

This is the first kind of study that identifies and explores the different CSFs for ATS implementation in public transportation. The CSFs are evaluated with the help of a framework built with inputs from logistics experts. The study recognizes the CSFs for ATS implementation and provides a foundation for future research and smooth adoption of ATS.

This empirical study aims to examine luxury fashion retailers' localised multiple channel distribution strategies in China.

Through case studies of 15 participating retailers, qualitative data were collected from 33 semi-structured interviews.

Strong impacts of internationalisation strategies, distribution strategies and channel length towards multiple channel retailing are revealed. Multi-channel retailing is widely employed by firms who have entered China and further developed their businesses through local partnerships and adopted a selective distribution strategy via relatively longer channels. Omni-channel retailing is only suitable for the few retailers using an exclusive distribution strategy through direct marketing and wholly owned customer relationship management. As a dynamic transformation from multi- to omni-channel retailing, cross-channel retailing is adopted by those who are withdrawing from local partnerships and shifting to wholly owned expansions and operations in host markets.

The results are potentially challenged by relatively small sample size.

Practitioners are suggested to adapt multiple channel retailing to their international expansion strategies, distribution strategies and channel length in the host markets.

This paper contributes to the literature in both multiple channel retailing and international retailing by offering insights into the motives, development patterns and suitability of multiple channel retailing in the international retail marketing context.

This study aims to investigate the psychological mediating mechanisms through which omnichannel integration affects customer word-of-mouth (WOM) behaviors in omnichannel retailing.

Guided by prior omnichannel retailing studies, the authors identify taxonomy of customer WOM behaviors with three archetypes, namely, face-to-face WOM, online store WOM, and social media WOM. Then, the authors draw on social exchange theory (SET) to explain how omnichannel integration influences customer WOM behaviors through the mediating roles of perceived personal preference fit and perceived social relatedness. The authors empirically tested the model using structural equation modeling and multiple mediation analysis with a field survey of 335 omnichannel customers.

Perceived personal preference fit positively influences face-to-face WOM and social media WOM, whereas perceived social relatedness is positively associated with face-to-face WOM, online store WOM, and social media WOM. Furthermore, transactional integration and relational integration positively affect perceived personal preference fit, whereas relational integration has a positive effect on perceived social relatedness. Finally, perceived personal preference fit mediates the effects of transactional integration and relational integration on face-to-face WOM and social media WOM. Perceived social relatedness mediates the effects of relational integration on face-to-face WOM, online store WOM, and social media WOM.

The authors' study advances the omnichannel retailing literature by proposing a taxonomy of customer WOM behaviors in omnichannel retailing and identifying the mediating mechanisms through which omnichannel integration influences customer WOM behaviors.

The purpose is to explore how the configurations resulting from the interplay of last mile logistics practices and firm characteristics are associated with firm performance in an omni-channel context.

Drawing on configuration theory (CT), the authors use fuzzy-set qualitative comparative analysis (fsQCA) to analyze data on 72 Swedish omni-channel retailers.

Four configurations are identified—store-oriented small and medium-sized enterprises (SME's), online-oriented SME's, large store-oriented retailers and large online-oriented retailers. The results show that while offering a wide range of delivery options is necessary to achieve high performance, it is not sufficient, and that returns and fulfilment should be simultaneously considered. For instance, large high-performers leverage their stores and warehouses for fulfilment and returns in an integrated way irrespective of sales channel-mix. However, SME's appear to focus on fulfilment simplicity with less-costly delivery alternatives, where store-oriented SME's leverage stores and the online-oriented counterparts leverage warehouses. Consequently, the authors develop a configurational taxonomy and discuss a set of recipes which provide insights for researchers and practitioners.

The study provides a more comprehensive understanding of the pathways to success, and potential pitfalls, in the last mile logistics context.

This study applies a novel methodology in the field, namely fsQCA, to explore the paths to competitive advantage. It covers a wide range of stages in the LM including back-end fulfilment, delivery and returns. It also provides insight into the logistics practices of both SME's and large omni-channel retailers.

Drawing on the mSERVQUAL model and spillover theory, this study aims to examine the mechanism through which food-ordering mobile app service quality influences users’ mobile app satisfaction, food satisfaction and repurchase intentions.

Online surveys were completed by 1,000 customers who used a food-ordering mobile app to order fast food on the day they completed the online survey. Structural equation modelling was then used to examine the proposed mechanism.

Results showed that the effects of food-ordering mobile app service quality on customer satisfaction (i.e. mobile app satisfaction and food satisfaction) and repurchase intention varied widely across service quality dimensions. Mobile app service quality had significant spillover effects on food satisfaction and repurchase intention.

Online food-delivery platforms should find the results insightful to better design their food-ordering mobile app. The findings can also assist restaurateurs and mobile payment companies with supporting the whole online food delivery process.

Rather than examining online food delivery service quality based on the service delivery process in the during-consumption stage or the service outcomes in the post-consumption stage, this study focused on the service quality in the pre-consumption stage to highlight the important role of online food delivery mobile apps. From a longitudinal perspective, this study drew on the associate network theory to explain the spillover effect of mobile app satisfaction in the pre-consumption stage on food satisfaction in the during-consumption stage and repurchase intention in the post-consumption stage.

This study explores the present state of research related to omnichannel retail, investigates retail's different sub-areas and suggests future research directions.

The subdomains of omnichannel retail have been identified using a keyword co-occurrence network (KCN) map and content analysis. The 5W1H method assisted in finding the bibliographies of 258 SCOPUS-indexed and ABDC-ranked journal articles and showcasing the omnichannel retail landscape.

Most research on omnichannel retail is concentrated on five subdomains: customer behaviour, channel integration, technological innovation, supply chain and operations and strategy. The study's conceptual framework illustrates the omnichannel retailing environment and the variables that must be considered whilst establishing an omnichannel strategic vision. Besides, future researchers have been urged to concentrate on interdisciplinary research, as a seamless experience is unachievable if focussed on a single subdomain.

There is a slight probability of missing out on some good articles as this study considered only those articles that have been published in SCOPUS and ranked by the ABDC quality list.

This study emphasises that for businesses to capitalise on the omnichannel model, the businesses must undergo a transformation involving technology convergence, customer-centricity and internal process reorganisation that integrates consumer feedback to co-create value. When a business adopts an omnichannel model, the business's priorities shift. Rather than depending solely on technology, faster delivery and channel integration, an omnichannel strategy requires strong leadership, a clear vision, training for all stakeholders and an understanding of customer pain points to reach the full potential.

The illustration of the omnichannel retail landscape using the 5W1H methodology and antecedents-decisions-outcomes (ADO) framework.

The purpose of this study is to measure the impact of perceived benefits offered by loyalty programmes on store patronage behaviour and repeat purchase behaviour of customers. Another purpose of this study is to assess the impact of mediating and influencing factors on patronage behaviour and customer loyalty.

The convenience sampling method was adopted for the sample selection. Structured questionnaire instruments were distributed to subscribers who are enrolled or subscribed to any loyalty programme and asked them to mark their opinions about subscriptions to a loyalty programme and the benefits or perceived values that customers get from the subscribed loyalty program. To determine respondent responses, closed-end questions and Likert scales were used. A SmartPLS statistical programme was used to analyse the coefficient and p-value of the perceived value of the loyalty programme and its relation with patronage behaviour.

The study finds a significant impact of various loyalty programme determinants on store patronage behaviour, supported by hypothesis testing. Researchers have used variable commitment to the test with satisfaction and trust and found it supportive. Another hypothesis tested for the impact of satisfaction on trust shows a significant relationship. They found a significant relationship between the perceived benefits of a loyalty programme and satisfaction with the store and trust. Another hypothesis tested for the impact of satisfaction on trust shows a similar relationship. The impact of commitment on loyalty behaviour (store patronage) was analysed and found to be significant.

To the best of the authors’ knowledge, to date, this methodology has not been used to measure the influence of loyalty programme values on patronage behaviour in the present context. Based on the understanding that the measurement of the impact of perceived values of loyalty programmes on repeat purchase behaviour could be very useful in providing guidance for decision-making in consumer retention strategy, this paper contributes to the literature on the evaluation of store patronage behaviour with its influencing variables.

This study aims to understand the motivations behind using Airbnb as a collaborative housing platform brand, their impact on satisfaction and engagement, and how the latter affects brand electronic Word of Mouth (eWOM) and brand loyalty. It also analyzes the potential moderating effect of the use intensity of collaborative housing platforms for the proposed causal relationships.

An online survey was addressed to active users of Airbnb with a final sample of 405 users. Data were analyzed using a covariance-based structural equation modeling (SEM) to test the causal model and a multigroup SEM to test the moderator effect of the intensity of use.

The results show that convenience affects brand satisfaction and hedonic motivation influences brand engagement, and both affect return intention and eWOM. In contrast, sustainability motivations seem unrelated both with satisfaction and engagement. Furthermore, the mechanism by which people reach loyalty in terms of return intention varies according to their usage intensity. Thus, the engagement–intention way is stronger for more intensive brand users. In contrast, the satisfaction–intention mechanism is significantly stronger for those with more sporadic use.

The management of collaborative housing platforms should promote tools and actions that favor enjoyment and fun since they increase engagement. On the other hand, it should be interesting to communicate the idea of the convenience of the applications, such as availability for a great offer, ease of contracting, or saving time, since this type of motivation directly correlates with customer satisfaction.

The motivational and behavioral heterogeneity demonstrated in this research can make it easier for people to be reached through different communication strategies and arguments both by the collaborative housing platforms and by public agencies with interests in city tourism management.