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The concept of productivity is central to performance management and decision-making, although it is complex and multifaceted. This paper aims to describe a methodology based on the use of Big Data in a cluster analysis combined with a data envelopment analysis (DEA) that provides accurate and reliable productivity measures in a large network of retailers.

The methodology is described using a case study of a leading kitchen furniture producer. More specifically, Big Data is used in a two-step analysis prior to the DEA to automatically cluster a large number of retailers into groups that are homogeneous in terms of structural and environmental factors and assess a within-the-group level of productivity of the retailers.

The proposed methodology helps reduce the heterogeneity among the units analysed, which is a major concern in DEA applications. The data-driven factorial and clustering technique allows for maximum within-group homogeneity and between-group heterogeneity by reducing subjective bias and dimensionality, which is embedded with the use of Big Data.

The use of Big Data in clustering applied to productivity analysis can provide managers with data-driven information about the structural and socio-economic characteristics of retailers' catchment areas, which is important in establishing potential productivity performance and optimizing resource allocation. The improved productivity indexes enable the setting of targets that are coherent with retailers' potential, which increases motivation and commitment.

This article proposes an innovative technique to enhance the accuracy of productivity measures through the use of Big Data clustering and DEA. To the best of the authors’ knowledge, no attempts have been made to benefit from the use of Big Data in the literature on retail store productivity.

Building on stimulus organism response theory, this study aims to examine the influence of Integrated store service quality (ISSQ) on omnichannel shoppers’ attachment to the integrated store with the mediating role of omnichannel customer engagement (CE) dimensions (absorptive attention, enthusiastic participation and social connection). This research demonstrates the effect of customers’ attachment to the integrated store on the willingness to pay more for omnichannel services and products of the retailer, their cross-buying behaviors in future purchases and loyal webrooming intentions. The moderating role of perceived relationship investment and alternative retailer attractiveness (ARA) in a few proposed relationships was also tested.

The research is descriptive, quantitative and cross-sectional investigation. A purposive sampling technique was used for selecting the study respondents. The data was collected from n = 589 Indian omnichannel shoppers who have experience shopping in the brick and mortar store of channel-integrated stores using a validated self-administered questionnaire. The proposed conceptual model was tested using PLS-SEM.

The results indicate that omnichannel CE dimensions (absorptive attention, enthusiastic participation and social connection) positively mediate the relationship between ISSQ and customer attachment to the store. Customer attachment to the store significantly impacts their willingness to pay more, cross-buying behaviors and loyal webrooming intentions. The moderating effect of the customer-perceived relationship investment and ARA revealed that it significantly impacted the relationship between ISSQ and willingness to pay more, cross-buying behaviors and loyal webrooming intentions. This research also demonstrated the direct impact of ISSQ on willingness to pay more, cross-buying behaviors, loyal webrooming intentions and the indirect impact through different CE dimensions and attachment with the store.

The study is conducted in the Indian population, where omnichannel retailing is still nascent.

This study addresses the need to investigate the impact of CE and their attachment to stores driven by the in-store service quality of integrated stores on the various postpurchase consumer behaviors. To the best of the authors’ knowledge, this study is the first to show that ISSQ might affect their willingness to pay more, cross-buying behaviors and loyal webrooming intentions through different CE dimensions and their attachment to the store. The moderating effect of customer-perceived ARA and their perception of retailers’ investment in a relationship on proposed hypotheses was also tested.

Design is an important construct in the retail environment literature. Yet, the measures used for design have not followed appropriate scale development procedures. The purpose of this study is to provide a conceptual definition and then develop a scale for retail environment design (RED).

Interviews with both consumers and marketing researchers are used to generate a potential list of items. Using four different studies, these items are refined, and the RED scale is offered.

This study develops and validates the four-dimensional RED scale to measure the design of retail environments. The dimensions are functional, aesthetic, lighting and signage.

The newly developed RED scale will allow retailing researchers to measure lighting and signage qualities as part of retail design, measure design of retail environments more accurately and allow different studies to be compared.

The newly developed RED scale will allow retailers to better understand customers’ perceptions of the four dimensions of design. Retailers spend significant time and money designing and redesigning retail environments. The RED scale will enable managers to ensure these significant investments create competitive advantages and an appropriate return on investment.

A scale to measure retail environment design is developed. The scale includes two dimensions (lighting and signage) that are not typically investigated.

An omni-channel is a retailing strategy that the behavior of companies adopts many retail channel types to combine and integrate cross-channel sales to meet the comprehensive needs of customers in shopping, entertainment and social networking both online and offline. This leads to several research questions of retailing omni-channel in this study. First, do channel brand trust (CBT) and store image (SI) affect re-patronage intentions through customer satisfaction (CS)? Second, regarding online rating (OR) and online involvement (OI), will CS be determined by consumer perception as well as the relevance of those attributes to the customer's re-patronage intentions? Third, do OR and OI have a role in exploring the moderating effect in the research model? Fourth, if there are positive effects from this relationship, it can generate a positive power return online. In addition, online-to-offline moves on a path for case firm omni-channel with customers' OR and OI with a reciprocal positive influence.

This study aims to investigate the relationship between CBT, SI, CS and re-patronize intention in an omni-channel. By using structural equation models (SEMs), this study aims to investigate offline-to-online and online-to-offline re-patronizing in the Taiwan Chunghwa Telecom (CHT) omni-channel (N = 1,642). Two moderated mediation models are investigated in this study.

This study first found that CBT and CS use SI to influence re-patronize intention in the omni-channel. SI plays a mediating role in this process; OR and OI influence the relationships of CBT, CS and re-patronize intention with two moderating roles.

This study first found that there is a reciprocal way with two paths in an omni-channel, starting with offline-to-online, in terms of confirming the relationship of CBT, CS and re-patronize intention in an omni-channel. There are positive effects from this relationship, and it can generate a positive power return online. In addition, we found that online-to-offline moves on a path that has a stronger influence of re-patronize intention for omni-channel with customers' OR and OI.

Tourism destination marketers use videos that incorporate storytelling and visual and audio components to evoke emotional arousal and memorability. This study aims to examine the increase in participants’ level of arousal and the degree of memorability after watching two different videos.

A quasi-experimental study was conducted with 45 participants who watched two destination promotional videos. One video used storytelling whereas the other used scenic images and music. The level of arousal was measured using both tonic and phasic electrodermal activity levels. The memorability of each video was measured after seven days by testing the recall accuracy.

Scenic imagery and music videos were associated with higher-than-average arousal levels, while storytelling videos generated larger-amplitude arousal peaks and a greater number of arousal-evoking events. After a week, the respondents recalled more events from the storytelling video than from the scenery and musical advertisements. This finding reveals that the treatment, storytelling and sensory stimuli in advertising moderate the impact of arousal peaks and memorability.

These results indicate that nonnarrative videos using only sceneries and music evoked a higher average level of arousal. However, memorability was associated with higher peak levels of arousal only in narrative storytelling. This is the first tourism study to report the effects of large arousal peaks on improved memorability in advertising.

The purpose of this meta-analysis is to encapsulate the outcomes and generate meaningful conclusions by examining the factors that influence consumers' purchase and non-purchase behaviour intention in a virtual reality retailing context.

This study integrates the outcomes from 52 studies, including 403 relationships involving 19,188 samples. The analysis was conducted using R-metafor and AMOS software.

The findings indicate that key factors that influence purchase and non-purchase behavioural intentions are virtual reality (VR)characteristics, virtual reality experience and consumer attitudes. VR experience is the strongest predictor for purchase decisions in virtual environment ,while consumer attitude towards VR most strongly influences the non-purchase behaviour of the consumers. Furthermore, the age of the respondents, cultural backgrounds (high vs low power distance) and gender moderate the relationship between consumers' attitudes and purchase and behaviour intentions.

Marketers can positively influence consumer attitudes and behavioural intentions by prioritizing the design of the virtual environment and facilitating unique experiences (by manipulating different sensory stimuli) in virtual retailing.

The current meta-analysis reconciles and reinforces the findings in the extant literature and provides a robust empirical generalization of the critical factors that influence consumers' purchase or behavioural intentions in a virtual retailing context.

Businesses are increasingly striving to become sustainable in terms of economic, environmental and social aspects. However, in the fresh food retail supply chains (SCs), achieving environmental objectives can be challenging because of the unique characteristics of products such as perishability, bulkiness, short product lifecycle and the requirement for cold chain infrastructure. The retail industry is the face of a SC. Therefore, its role in achieving sustainable objectives is pivotal. This study examines the effect of green in-store operations on sustainability performance indicators of fresh food retail and examines the moderating role of organization size in this context.

Data are collected through surveys using self-administered questionnaires from 70 retail stores with 188 completed responses. Data are analyzed using structural equation modeling.

Results show a positive relationship between green in-store operation with environmental social and economic performance. Furthermore, these relationships are moderated by the organization size such that the positive green in-store operation and performance relationships are stronger in the case of environmental and social performance only and for larger retail stores. No moderation is seen for economic performance.

The study broadens the understanding of green SC management’s effect on sustainability performance in the retail industry. It shows how the positive implications of a green SC are contingent on organization size and have prominence for environmental and social performance.

Retailers can use their mobile app to send location-based advertisements to consumers in the store. Goal congruence is an important driver for this type of ad's effectiveness. However, evidence of goal congruence influence on positive and negative outcomes and, in turn, on product purchase intention, is lacking. Research also leaves out the moderating effect of shopping motivation and price promotion level. The paper tests the impact of goal congruence on purchase intention through attitude to the ad and its intrusiveness, as well as the moderating effect of shopping motivation and price promotion.

Two online experiments are conducted to investigate these effects. The first experiment investigates the influence of goal congruence (i.e. low vs high) and the moderating effect of shopping motivation (i.e. utilitarian vs hedonic) on attitudes to the ad, level of perceived intrusiveness and, ultimately, purchase intention. The second experiment introduces the moderating effect of price promotion.

Goal congruence has a positive effect on attitude to the ad but no impact on intrusiveness. Goal congruence and shopping motivation further have a significant effect on attitude to the ad, as well as on purchase intention. Finally, no interaction effect of price promotion level is found.

This study tests the effect of goal congruence for in-store mobile apps on attitude towards the ads and intrusiveness and ultimately purchase intention. It further tests the moderating effect of shopping motivation (i.e. utilitarian vs hedonic) and price promotion level on these relationships.

This study focuses on memorable customer shopping experience design in the sporting goods retail setting. It aims to identify the phygital customers' needs and expectations that are satisfied through in-store technologies and to detect the in-store strategies that use these technologies to make the store attractive and experiential.

This exploratory study adopted a qualitative research methodology, specifically a multiple-case study, by performing semi-structured interviews with sporting goods store managers.

Sporting goods retailers use various in-store technologies to create a phygital customer shopping experience, including devices, mobile apps, wireless communication technologies, in-store activations, support devices, intelligent stations, and sensors. To improve the phygital customer journey and the phygital shopping experience, retailers meet customers' needs for utilitarian, hedonic, social, and playfulness experiences. Purely physical or digital strategies, as well as phygital strategies, are identified. This research also proposes a model of in-store phygital customer shopping experience design for sporting goods retailers.

Sporting goods managers can invest in multiple technologies by designing a physical environment according to the customers' needs for utilitarian, hedonic, social, and playful experiences. In addition, they can improve the phygital customer shopping experience with specific push strategies that increase customer engagement and, in turn, brand and store loyalty.

This study highlights how the phygital customer experiential journey can be created through new technologies and improved with specific reference to the sporting goods stores.

This stud aims to analyze the influence that the enabling and coercive management control systems (MCS) have on the individuals’ mental representations and their commitment to goals, satisfaction with the system and perceived organizational support. Under the lens of the construal level theory (CLT), it is assumed that: individuals exhibit more positive behaviors when the MCS is enabling rather than coercive; the effects of MCS on the behavior of individuals are explained by the way they mentally represent events; and these effects are intensified or mitigated according to the psychological distance.

The predictions were tested in an experiment with 131 undergraduate students, assuming a company that decides to implement a performance measurement system.

The results show that enabling MCS are interpreted more abstractly (high level of construction) and coercive MCS are represented more concretely (low level of construction). Furthermore, enabling systems lead to more positive behaviors (commitment to goals and perceived organizational support) than coercive ones, however, the satisfaction with the MCS is affected by both depending on psychological distance.

The CLT allowed broadening the understanding of the effects of enabling and coercive controls on individuals’ behavior, by assuming that mental representation can explain individuals’ behaviors. To the best of the authors’ knowledge, this study is the first to point out that temporal distance can attenuate the negative effects of coercive MCS on satisfaction with the system.