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The deployment of analytic hierarchy process (AHP) to help the retail industry to recognize which retail service quality (RSQ) dimensions require attention to create a sustainable competitive advantage. The purpose of this paper is to use a comparative evaluation model to compare retail stores (supermarkets) across several RSQ dimensions, validated and tested RSQ model in the context of Indian supermarkets and explore the existence of RSQ gap by studying the difference between customers’ perception and expectations.

This study deploys AHP in which the decision problem is broken down into hierarchy; thus customer preference involves the structuring of a hierarchy in terms of the overall objective, the selection criteria and the decision alternatives. AHP technique allows pairwise comparisons to be made among the alternatives with respect to the service dimensions.

This study validated the formal RSQ scale developed by Dabholkar et al., (1996) by a modification that led to making it more suitable to the Indian context.

This research does not provide guidance on different course of action to be taken. Though this study identifies which service dimensions require improvement, it does not provide guidance on an appropriate action plan to address deficiencies.

Prospective and existing retailers can use this instrument effectively to measure the quality of their services as perceived by customers in comparison to their competition. This work will not only help the supermarkets to improve their competitive positioning in the marketplace but will help them to identify areas of services needing improvement on priority basis.

Application of AHP to determine the best customer preference is the first ever done in RSQ studies. It does open up another dimension for further studies.

Enhancing retailing service quality (RSQ) serves as a basic strategy for gaining competitive advantage in the retailing industry and enables retailers to make a loyal customer base. The purpose of this paper is to propose and empirically investigate a comprehensive mechanism for enhancing customer loyalty to retail stores via service quality practices. This study suggests information on retailers can be the antecedent of the RSQ and its dimensions, thereby proposing a comprehensive mechanism for enhancing customer loyalty to retailers.

The data were collected using questionnaire surveys from 2,375 customers of three main supermarkets in Sri Lanka. After testing the measurement model, two structural models were run to test hypotheses.

The findings showed that the RSQ positively influenced customer loyalty. From all the RSQ dimensions, the store’s physical aspects, personal interaction and policy had a significant influence on customer loyalty. The findings also demonstrated that information on retailers contributes to enhancing a customer’s favorable evaluation of the supermarket’s physical aspects, personal interaction and retailing policy.

This study was conducted with supermarket customers in one country using the cross-sectional data. Hence, the model should be replicated among retail customers in other countries with the longitudinal data.

Practically, this study recommends to retailers which dimensions of service quality they need to focus to enhance customer loyalty to their business. The study furthermore recommends certain dimensions that need to be emphasized while retailers design their promotional and communication programs.

Information on retailers has been suggested as an antecedent for enhancing supermarkets’ service quality practices. Thus, this study proposes a comprehensive mechanism for enhancing customer loyalty to retailers via service quality practices.

This study investigates the impacts of return channel type on the relationships between return service quality (RSQ) and customer loyalty (CL) in an omnichannel retailing environment.

Data comes from Chinese customers having a return experience in omnichannel retailing that uses the channel type of both buy-online-return-in-store (BORIS) and buy-in-store-return-to-online warehouses (BSROW). The authors use the structural equation modeling to test the hypotheses and the bootstrapping method to test the mediation and moderation effect.

For BORIS channel, satisfaction of customer returns (CRS) partially mediates the relationship between convenience and CL, and fully mediates that between CL and responsiveness, transparency and competence, respectively. For BSROW channel, CRS partially mediates the relationship between responsiveness and CL, and fully mediates that between CL and convenience, transparency and competence, respectively. The mediation effects indicate that omnichannel customers may feel more satisfied due to higher omnichannel fulfillment (responsiveness and convenience) and omnichannel trust (transparency and competence) provided by retailers. Return channel type moderates the relationship between RSQ-convenience and CL. The results show the different expectations between BORIS and BSROW customers in the return process.

This paper serves as a pioneering study to apply cognition-affect-behavior paradigm into the field of return management in omnichannel retailing.

The findings suggest retailers develop their strategies on customer returns and post-sales service quality improvement in the omnichannel. Also, retailers should develop an integrated return system across channels to provide convenient service to BORIS customers and quick response to BSROW customers.

Studying return service management in the omnichannel from customer's cognition appraisal, this study contributes to the literature of the reverse service management by bringing in the effect of omnichannel type to explore the relationship between RSQ and CL.

The purpose of this paper is to explore the qualities of a small town centre and how such centres can enhance their attractiveness.

A convenience sampling procedure was used to administer a web survey to visitors of a small Swedish town. Importance-performance analysis and statistical methods were used to analyse quality attributes and quality dimensions. Correlation analysis was run to measure the relationship between centre attractiveness and shopping loyalty.

The variety of retail outlets is what is most valued by visitors to a small town centre, followed by the provision of events and non-commercial activities and the design and maintenance of the physical environment in the centre. Surprisingly, the interpersonal behaviour has less impact on the perceived attractiveness than the aforementioned quality dimensions. Visitors’ shopping loyalty is significantly related to the perceived attractiveness.

The study is a one-off study based upon a small Swedish town, but it is indicative of global shopping trends.

Implications for town centre management to enhance the attractiveness of the business district of a small town.

Traditional town centres have been props for the surrounding societies, providing anscillary services beside retailing. When retail moves to out-of-town retail locations, this could lead to the erosion of interpersonal communications and central services for citizens.

Pioneering research on small Swedish town shopping.

Although customer-perceived quality (CPQ) has been studied for years, very little is known about the implications of CPQ to informal retail stores particularly in collectivist and high uncertainty avoidance societies like Nigeria. More specifically, this study aims to investigate the indirect implications of CPQ to post-purchase behaviour primarily word-of-mouth (WoM) communication which is even more critical for customer acquisition in the research context. By so doing, it develops a contextualised model in which the emerging concept of commercial friendship (CF) is incorporated to mediate the relationship between CPQ and WoM communication.

Using a survey-based design, data were gathered from 372 informal merchants’ customers. Structural equation modelling technique primarily PLS-SEM (partial least squares structural equation modelling) was used in analysing the data.

The data confirm that the multifaceted CPQ construct has an important implication for WoM through the mediation of CF. Supplementary analysis reveals that CF fully mediates one of the sub-components of CPQ, namely, personal interaction in relationship to WoM in addition to acting as a partial mediator between store policy, physical aspect and reliability and WoM.

The value of this study is that it draws attention to the special role that CF plays in the investigation of the relationship between CPQ and WoM communication in the research context. Additionally, it is a step towards extending and contextualising research about service quality perceptions and its outcomes in non-traditional Western contexts.

Using corporate value statements of the top Fortune 300 firms for the year 2012, we examine relationships among the stated values of these companies, their industries, and their Corporate Social Responsibility (CSR) performance measures. We classify stated values into 21 broad categories. We find that corporate values exhibit strong industry affiliations. Correspondence analysis and regression models indicate that 19 out of 21 values are related to at least one performance measure and while some values are associated with improved performance (e.g., ethics), others (e.g., safety) have a negative impact. Further, while some values have the anticipated impact on performance (e.g., the shareholder value is positively associated with financial performance), some show no relationship (e.g., the environment value is not associated with environmental performance). Finally, our findings also suggest possible CSR washing in some cases. Overall, the study finds corporate values do affect their performance.

First feelings and first impressions largely govern and delimit the kinds of experiences one expects and seeks. This paper reviews the application of multidimensional scaling (MDS) to retail market research and discusses how MDS is able to map these impressions and hence explain the retail centre image held by consumers. It proposes that retail centre image is not just relevant to marketers and retailers, but is also of importance to property managers who need an informed and holistic consumer orientation in order to create and sustain property value. By means of illustration MDS is applied to data based on shopper evaluations of seven retail centre items and an interpretation the results is offered.

Several studies have reported on psychometric and factor‐analytic work related to the team climate inventory (TCI), including its four scales and 13 subscales. This exploratory study reports on the first research to examine team typologies based on team climate scores. The TCI was administered twice to 84 and 63 self‐managed teams of management undergraduates completing graded term projects. Following each TCI administration, a two‐stage clustering procedure (Ward’s and K‐means) was used to determine the number and team composition of clusters. Clusters were then plotted on the multidimensional space (INDSCAL) and a discriminant analysis performed to determine how well cluster membership was predicted using scores from the 13 TCI subscales. At the first TCI administration, three weeks into the term projects, the study obtained three team clusters on a two‐dimensional space. Near the end of the term projects, the study found two team clusters on a two‐dimensional space. Implications are presented for team building, interventions to improve team climate and management training.

This study aims to verify the dimensions of perceived quality of services which influence the satisfaction of accounting firm clients and verifies whether customer satisfaction influences loyalty and word-of-mouth recommendations.

A model is proposed and tested using a survey of 292 accounting firm clients; structural equation modeling and partial least squares are used for data analysis.

The constructs of internal policies, personal relationships and trust influence the satisfaction of accounting firm clients which directly influences word-of-mouth recommendations and customer loyalty; however, the constructs of physical aspects and problem solving have no influence on satisfaction.

The main contribution to the accounting field is an identification of the aspects in which firms should invest to deliver quality to clients. The development of internal policies, personal relationships and trust can lead to more satisfied clients, resulting in loyalty and word-of-mouth recommendations. These are novel results within the literature and can guide accounting firms toward better performance.

This study is justified by the fact that accounting firms must adapt to the new environment and the new requirements of the accounting field and look for solutions that follow the progress of financial and managerial accounting, primarily with regard to service quality, satisfaction, loyalty and word-of-mouth recommendations. We also introduce a new scale to reveal novelties which cannot be observed using traditional service quality scales. This is another important contribution to the quality of accounting services.

Digital transformations are altering service models and care delivery methods in healthcare. Artificial Intelligence (AI) represents the next wave of transformation in healthcare. This study aims to understand patient perceptions of AI and its impact on value co-creation.

A conceptual model was developed to investigate how value co-creation operant resources (digital self-efficacy and relational service quality) impact value co-creation engagement (shared decision-making) and value co-creation outcomes (anticipatory AI value co-creation and intention to adopt AI). Data were collected from 332 respondents and analyzed using structural equation modeling.

The results indicate that the value co-creation process for AI technologies is a function of inputs, experiences and AI outputs. Operant resources were found to be positively associated with shared decision-making. However, not all operant resources directly and positively impacted AI outcomes. The indirect and positive mediated relationships through shared decision-making to AI outcomes suggest an interactive AI value co-creation process.

AI technologies are still in early stages of consumer adoption in healthcare. Future research is warranted that investigates the validity of the model through maturing service life cycles.

Customer perceptions of new digital innovations are formed in the context of previous digital experiences. Marketers need to understand how customers view their current non-AI technologies. Strong engagement and perceived value of current technologies will help ease customers into the usage of AI technologies.

This study investigates the unique stages of the value co-creation process for AI technologies in healthcare. The results demonstrate that the value co-creation process is a function of inputs, tech-enabled experiences and AI outputs.