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This study aims to identify the irritating aspects in the mall environment that impact shoppers with disability and explore the opportunities to design inclusive mall environments.

A mixed-methods design was used in which data collected using a survey (n = 1,434 shoppers with and without disability) were analyzed by structural equation modeling (SEM) and repeated-measures two-way ANOVA. In addition, qualitative data were obtained from critical incident technique (CIT) stories (n = 521) from shoppers with and without disability.

Mall environmental irritants evoke feelings of irritation that mediate the impacts of “inconvenient ambient conditions,” “the annoying socialscape” and “overwhelming design and atmospherics” on decreased mall-visit frequency. Compared with shoppers without disability, shoppers with disability suffer more from these irritating aspects of the mall environment, as evidenced by significantly greater high-activation unpleasant emotions. The “poor access and accessibility” category of irritants mainly affects the mall experiences of shoppers with disability.

Based on the findings, this study offers spatial-, temporal-, social-, material- and virtual-oriented recommendations for the design of inclusive retail spaces. The authors suggest that people with disability have a unique “lived experience” perspective on retail environments and that solutions should be co-created based on ongoing consultations with shoppers and employees with disability.

To the best of the authors’ knowledge, this study offers the first systematic, comprehensive comparison of the impact of environmental irritants on shoppers with and without disability and extends the literature on irritating aspects of retail environments from individual stores to malls.

Hedonic value is commonly conceded as a determinant of behavioral intentions toward location-based advertising (LBA). However, the careful consideration of a mechanism behind hedonic motivation and its subsequent impact on continuance intention is inadequate. This study aims to explore the formation of hedonic value and its motivation for prolonged usage toward LBA.

A sample of 486 mobile users was recruited to evaluate the research model using structural equation modeling (SEM).

Results reveal that perceived utility and promotional offers are the strongest indicators of hedonic value. Moreover, social support and contextual convenience play an essential role in heightening hedonic value. Furthermore, the research lenses attempt to clarify the direct, indirect influences of hedonic value, irritation and perceived credibility on continuance intention.

The findings offer practitioners an understanding of how to improve hedonic value and continuance intention and develop effective LBA strategies in emerging markets.

This study narrows the gap of current literature by formulating a hedonic value-based continuance intention model based on uses and gratifications theory (UGT). Additionally, this work illuminates the insights into hedonic value toward LBA by identifying its motivations, including perceived utility, promotional offers, social support and contextual convenience.

This paper aims to examine experiences of low customer power in service interactions and the impact of those experiences on customers’ engagement and disengagement towards a firm. It subsequently identifies how such experiences may affect customers’ wellbeing.

The authors conducted visual elicitation interviews with 30 customers of a range of services. Data were analysed thematically using abductive reasoning.

Low customer power is influenced by several factors perceived by customers as associated with the firm and/or the context of the customer–firm relationship. Results show that low power drives negative customer engagement and may result in behavioural disengagement. Low customer power, negative engagement and disengagement can have negative implications for customers’ eudaimonic (physical and financial) and hedonic wellbeing.

Future studies might explore specific service contexts and power dynamics across service ecosystems and should further analyse the implications of these relationships on firms’ strategic organisational responses.

Firms should monitor customer power and explore means of enhancing the wellbeing of their customers through strategies designed to increase customer power, thus, reducing negative customer engagement and avoiding detrimental impact on customer wellbeing.

This study reframes discussions on low customer power in relation to firms and its impact on firms and customers. It identifies low customer power as a key variable in the study of customer engagement, disengagement and wellbeing.

The purpose of this paper is to examine the role of green intellectual capital in fostering societal sustainability. Also, this study investigated how co-creational customer capital mediates the relationship between green intellectual capital and societal sustainability. The paper draws attention to co-creating customer capital and understanding its impact on societal sustainability in high-contact service startups.

Data were collected from responses from 376 high-contact service startup firms headquartered in the Indian subcontinent, particularly emerging markets. The proposed conceptual model was analyzed using the partial least squares structural equation modeling (PLS-SEM) approach. The analysis is based on primary data obtained from strategic-level employees.

The results highlight the impact of co-creational customer capital in the Green Intellectual Capital – Societal Sustainability (GICS) model. Green intellectual capital components significantly influence societal sustainability outcomes in the existence of co-created customer values. It establishes customer capital as an essential factor that mediates the relationship between green intellectual capital and societal sustainability.

This research provides conceptualization and subsequent investigation of customer value creation in service-led startups. The construct co-creation is more appropriate for the service industry in common.

This paper establishes co-created customer capital as an enabler in transforming underlying components of green intellectual capital into societal sustainability measures. Firms may generate higher customer value by pooling green human and relational capital along with active customer response and shared knowledge. This creates an organizational asset termed co-created customer capital specific to service industries.

The article proposes a novel way to analyze customer value in service organizations. To the best of the authors’ knowledge, no study has looked at how co-creational customer capital could act as a mediator between green intellectual capital and societal sustainability in the service industry context, particularly for SMEs and startups from emerging economies. Co-created customer capital may be used as an instrument to overcome managerial challenges in the context of transforming green intellectual capital into societal capital.

The study aims to examine fast fashion consumers' negative in-store experiences focusing on the effect of the two store environment factors, product overload and store ambiance, on their confusion and consequent shopping avoidance behavior.

A research model of fast fashion consumers' confusion and store avoidance behavior is proposed using the Stimulus–Organism–Response framework. A pretest and the main online survey with 281 samples are analyzed, and the structural equation modeling (SEM) is conducted to test the proposed model.

The SEM results support the proposed paths statistically. Consumers' confusion, measured with the two dimensions, inefficiency and helplessness, is significantly influenced by their perceived product overload and negative perception of store ambiance in the fast fashion shopping environment. Subsequently, fast fashion consumers' confusion results in less time spent in the store.

The study sheds light on utilitarian shopping value in the fast fashion shopping environment by focusing on the fast fashion consumers' confusion in association with overloaded information caused by too many products and store ambiance.

The study implies that improving fast fashion stores' inherent issues with too many products and store ambiance might help consumers mitigate their confusion and prevent customer attrition. However, the study includes only two factors. Future studies may include other various fast fashion store factors. Additionally, one of the dimensions of confusion, irritation, did not emerge in this study. More work is needed to investigate fast fashion consumers' confusion, such as using a multigroup analysis by age.

There are numerous studies on satisfaction, but not enough on dissatisfaction when its consequences can be harmful. This study aims to examine different unsatisfactory situations during customer–supplier relationships in industrial markets combining the appraisal theory with the critical incident technique to identify potential problems and strategies to minimize their effect.

This research follows an exploratory qualitative approach based on 18 in-depth interviews with managers from business-to-business firms. The information obtained was object of a textual and conceptual analysis using the analytical software ATLAS TI 9.0.

The results show that negative cognitions have greater influence than negative emotions, and those dissatisfied customers may respond by expressing complaints, ending transactional relationships, reporting the other party legally, asking for explanations or continuing commercial relationships, even though they are dissatisfied. This will depend on the severity of the critical incident and the negative cognitions and emotions perceived. Proactivity and understanding of this situation will allow for understanding what specific actions to take to resolve conflicts and mitigate the negative effects among the parties.

This paper focuses on dissatisfaction, instead of satisfaction, in industrial markets through the appraisal theory. Furthermore, it applies the critical incident technique to understand the cognitions and emotions related with dissatisfaction in the commercial relationships. Finally, it provides ideas on what are the main source of dissatisfaction and how to manage them to anticipate and better manage those incidents.

The main purpose of this research is exploring the tipping points for a radical shift in supplier (dis)satisfaction. This study identifies triggers and links them to consequences for the buyer–supplier relationship.

The Critical Incident Technique (CIT) was used to interview Dutch supplier representatives in the infrastructure sector, resulting in rich descriptions of 29 critical incidents, extracting first-hand information.

Safety issues, technical disputes and recruitment of supplier’s technical staff have been identified as tipping points for suppliers to become dissatisfied. Implementing performance-based contracting is another critical incident that caused irritation and disappointment. On a more operational level, dissatisfaction was provoked by tender errors and price discussions with the buyer. This study also identified tipping points by which dissatisfied suppliers abruptly turned into satisfied suppliers. The effect of a solution-oriented buyer intervention appears to be most powerful if this behaviour transcends prior expectations.

Consequences of misunderstandings and discussion between supplier and buyer may be manageable or repairable, depending on the causes and triggers that influenced a supplier’s dissatisfaction. An early warning system could prove its worth, so that buyers are not faced with unpleasant surprises.

Despite the growing number of studies, processes of how antecedents lead to supplier (dis)satisfaction are not well understood. Antecedents are predominantly investigated by cross-sectional survey data, giving little insights into micro-processes and actual interaction between buyers and suppliers. Although CIT has been applied in many disciplines, the technique is hardly used within the context of purchasing and supply management research.

This study is based on a web-based advertising value model, adding emotional appeal, advertising credibility, advertising clicks, product evaluation and incentive to examine the impact on consumers' product evaluation and purchase intention.

In total, 313 valid online questionnaires were collected from those who had browsed the social media advertisement.

The results show that advertising credibility and emotional appeal have a higher impact on advertising attitude than informativeness and irritation in the original web-based advertising value model.

The findings strengthen the literature on the antecedents of advertising attitude in social media context, confirming advertising clicks as a predictor of product evaluation, and determining that advertising attitude, product evaluation and incentive play key roles as predictors of consumer purchase intention.

The findings are particularly relevant to advertising marketing managers. In the context of social media advertising, the advertising credibility of consumers is the key to increasing consumers' willingness to purchase. Advertisers must establish a good advertising reputation to consumers in the social media context.

This study combines the web-based advertising value model, advertising clicks, product evaluation and incentive to investigate the factors that influence customers' purchase decisions in the context of social media.

Digitalization is revolutionizing the retail sector as today's consumers prefer a seamlessly integrated, fluid and irritation-free shopping experience enhanced with artificial intelligence (AI)-powered technologies. Literature highlights gaps in the understanding of the shopping experience in an omnichannel context, involving aesthetic, cognitive and affective experience dimensions. This research highlights the direct effects and the mechanism triggered in the presence of such device.

A sample of 259 consumers was interviewed at the point of sale. Data have been collected after a shopping experience in two concept stores belonging to the same fashion brand: (1) not equipped with AI-powered technology and (2) equipped with these tools. The measurement scales were validated through ANCOVA analysis and causal relationship analysis with structural equation modeling.

The results show that the presence of an in-store AI-powered technologies in a connected store generates a higher aesthetic reaction when visiting the store, a higher absorption when shopping through the flow and a higher intent to purchase. The authors further investigate the underlying mechanism triggered by the presence of this technology, which enables the authors to outline their consequences regarding purchase intention.

The study, conducted within an actual connected store in France, explores the impact of AI technology in connected retail environments on consumer responses. It is an early research in this field, shedding light on a rarely explored area. The authors’ research addresses a significant gap, providing insights into AI-driven retail experiences.

The service effort behavior (SEB) of health professionals may be impeded by many factors. This study aims to draw upon the conservation of resources and stressor–strain–outcome theories to test a moderated mediation model that explores how work–family conflict (WFC) influences SEB. The mediating effect of emotional irritation (EI) and the moderating effect of organizational identification (OI) was also tested.

Data was collected over two waves from 524 health professionals working across India and was tested using SPSS PROCESS macros and Amos 24.

The results revealed that WFC has a significantly negative relationship with SEB, and EI mediates the relationship between the two variables. The mediation process was further moderated by OI.

There is an absolute scarcity of evidence that has explored the association of WFC and SEB with the mediating role of EI. Along with offering a nuanced understanding of these relationships, this study also presents some interesting insights to health-care administrators.