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Few cases allow the student to understand the relationship between brand strategy, marketing strategy, implementation, and analysis. While some conceive of the process as being sequential, this case demonstrates that in fact, this process is more fluid, and that implementation and analysis impact subsequent strategy.

This field-based case provides a rare glimpse into the turnaround of a brand that was all but dead. After Buick suffered more than five decades of declining business results and an inferior brand image versus all rivals, few thought that the brand could be resuscitated. This case provides a valuable under-the-hood look at how the Buick team, over time, progresses through a series of marketing improvements all anchored on an evolved strategy. Specifically, Buick introduced a shift in brand strategy behind an evolved brand essence statement (i.e., brand positioning), improved product lineup, new-to-the-world innovation, enhanced dealership service, and more compelling advertising. The results led to a record number of product awards, significantly improved advertising measures, improved service ratings, and better business results.

Despite significant improvement across multiple dimensions of the business, Buick still trailed key competitors on one of the most important measures Buick tracked—the brand momentum rating—suggesting that there was still more work needed to complete the brand turnaround. The case introduces Molly Peck, the new marketing director on Buick, who is wondering what more, if anything, Buick should do. The material allows for instruction around marketing strategy and the process of converting it into implementation through the use of a creative brief.

Based on the stimuli-organism-response model and relationship marketing theory, the effect of different dimensions of Servicescape (Ambience, Cleanliness, Functionality, Spatial Layout, Employee Service Quality) on Customer Satisfaction and Behavioral Intention in hospitals during the COVID-19 pandemic are considered.

The study takes a quantitative approach, applying structural equation model using partial least square structural equation modeling to test the hypotheses. A total of 360 responses were collected using questionnaires distributed to different individuals who visited private hospitals in the past two months in India.

Contradicting previous research, this study found that among servicescape dimensions, employee service quality had the maximum influence on customer satisfaction and cleanliness does not have any significant impact on customer satisfaction as hypothesized. Mediation results show that customer satisfaction has a partial mediation effect for all servicescape dimensions except ambience, as both direct and indirect effects are significant. Importance-performance map analysis was performed on the responses collected, and it was found that employee service quality is the most important dimension affecting servicescape, followed by functionality and spatial layout. Thus, health-care institutions should focus on these factors to keep their customers satisfied.

Past studies have focused on the roles of servicescape and customer satisfaction separately. The authors have extended the literature by examining the combined effects of both servicescape and customer satisfaction. The findings from the study, therefore, help in developing a deeper understanding of the literature on the behavior intention relationship in the context of health care, as well as in service marketing.

Designing and developing responsible business practices can create various tensions for service organizations. The purpose of this research is to develop a deeper understanding of the relationship between customer engagement (CE) and responsible business practices (e.g. environmental, social and/or governance [ESG], corporate social responsibility [CSR] and diversity, equity, and inclusion [DEI]) and explore customer engagement tensions that service organizations may face.

This research develops a list of CE-related responsible business practice tensions and empirically explores their relevance through in-depth interviews with nine ESG professionals.

This paper makes three important contributions. First, we find support for nine distinct but related tensions with implications for CE that organizations must navigate when pursuing responsible business practices. Second, interview participants provide some suggestions for tackling these tensions, which we support with relevant theories. Finally, we develop a conceptual framework that may stimulate future service research and inform the implementation of ESG strategies.

To the best of the authors’ knowledge, this research is the first to conceptualize and empirically explore the tensions that emerge between responsible business practices and CE. The authors develop a novel analysis of the CE-related tensions that emerge when pursuing an ESG strategy.

The findings are based on a small sample of ESG professionals. Future research may take a quantitative approach to further evaluate the role that these tensions play in engaging customers.

This research provides a conceptual framework that may guide ESG professionals in understanding, framing and navigating CE-related tensions when pursuing responsible business practices.

A social benefit may be found when service organizations are better able to successfully navigate CE-related tensions when pursuing responsible business practices.

This study aims to examine differences in the perceived value of luxury as drivers of luxury purchase intentions between individualist and collectivist cultures (at a country level) and consumers of Muslim versus Christian religious backgrounds. Moreover, this study investigates how consumers’ acculturation to the global consumer culture (AGCC) impacts their perceived luxury values.

The authors conducted two online survey studies. The first study compares Muslim consumers in Kuwait versus Muslims consumers in the UK. The second study compares the UK Muslim sample to a UK Christian sample. The authors collected data from 600 and 601 respondents, respectively. Partial least square structural equation modeling was used to test this study’s research hypotheses.

The perceived personal values of luxury primarily drive consumers’ luxury purchase intentions. The hedonic value of luxury impacts luxury purchase intentions significantly more for Muslims in the UK than in Kuwait. No significant differences were observed between religions. Consumers’ AGCC exerts a positive impact on all included perceived luxury values and more strongly impacts perceived uniqueness for Muslims than for Christians.

The paper builds on an integrative luxury values framework to examine the impact of luxury values on consumers’ purchasing intentions by studying the moderating effect of culture and religion on these relationships. The study is partly set in Kuwait, an understudied country, and investigates a Muslim minority in the UK.

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.

The purpose of this exploratory study is to identify the antecedents of brand hate in respect to luxury brand gamification marketing activities.

Five gamified product placements characterized by the ad hoc design of luxury co-branded virtual and/or physical products were selected for the research study. Content analysis was used to identify patterns and classify negative comments shared online into categories.

A content analysis of the negative comments (n. 2,321) related to the perception toward gamification of luxury fashion in videogames revealed the following seven domains: monetization of the game; promotion of inappropriate behavior; unethical placement; games commodified by brands; predatory monetization; perceived incongruence; poor product performance.

The exploratory research study revealed how the perception of gamification activities trigger negative emotions toward luxury fashion brands. It was significant that many of these emotions fall within the antecedents of brand hate.

Luxury companies and game developers need to be aware and manage the antecedents of brand hate in respect to luxury brand gamification activities in videogames. Moreover, luxury brands need to consider customers’ influencing behavior via online word-of-mouth and the potential to impact attitudes and behaviors of other consumers toward brands.

The ethics of gamification within a marketing context have largely escaped inquiry. The study provides evidence that luxury brands need to align the fundamentals of luxury brand management in the digital world of gaming.

The study aims to determine the role of online retail website experience on brand happiness and willingness to share personal information using the theoretical lens of the Stimulus-Organism-Response (SOR) framework. Further, it explores the role of brand intimacy and brand partner quality in mediating the path between brand happiness and willingness to share personal information.

This study used a cross-sectional survey design to collect data from 439 online retail consumers in India, using an online questionnaire. The data were analysed using Structural Equation Modelling in IBM Amos.

The present study found that online retail website experience is significantly related to brand happiness. The finding also supports that brand happiness was positively and significantly related to ‘consumers' willingness to share personal information. This relationship was fully mediated by brand intimacy. Brand happiness also mediated the relationship between website experience and the willingness to share personal information.

This study contributes to the emerging literature on brand happiness and willingness to share personal information. It establishes a central role of brand happiness as a driver and a mediator of consumers' willingness to share personal information with e-commerce retailers, extending the stimulus-organism-response framework in the context of brand happiness and willingness to share personal information. Further, the study establishes the role of website experience as a marketer (and brand) led driver of brand happiness.

The results have implications for the role of the website in enhancing the consumer experience, which in turn is a driver of brand happiness. Further, managers need to promote brand happiness with the help of website experience to enable consumers’ willingness to share personal information and help organizations customize their marketing campaigns.

This is among the first studies to evaluate brand happiness from the perspective of an online retail website experience and consider consumers’ willingness to share personal information from a branding rather than a technological perspective. Additionally, the study introduces the SOR framework in the context of brand happiness, with website experience acting as a stimulus for consumers, resulting in brand happiness, which is mediated by brand partner quality and brand intimacy (organism), leads to consumers' willingness to share personal information with online retail brands (response).

With every successful organization embracing various facets of diversity in this new era, one such facet that is lesser talked about but has huge potential to bring organizational success is “Generational Diversity.” This paper emphasizes the significance of multiple generations in the workplace and suggests organization led strategies for achieving the benefits of generational diversity.

This paper draws on extant literature and knowledge in the field of generational diversity. By reviewing the characteristics, values, work styles and perspectives of multiple generations, this paper offer several strategies to successfully manage and leverage generational diversity.

This paper provides an overview of generational diversity and insights on its relevance at workplace. Besides, it also enlists and emphasizes eight different strategies that can help the organizations embrace and leverage the strengths of multiple generations at workplace.

Diversity & Inclusion (D&I) teams responsible for nurturing a diverse and inclusive culture at work can design and implement the strategies specified in this paper as per the suitability of their cohort(s) of employees to achieve the benefits of multigenerational workforce in organizations.

Generational diversity at workplace is an important factor toward achieving organizational success. For organizations with age-diverse workforce driving relentlessly toward success, there is a need to design and implement customized strategies and practices for managing multiple generations successfully. This study attempts to address this need by highlighting several organization led strategies to manage multiple generations successfully at workplace.

This paper aims to explore ChatGPT’s (generative pre-trained transformers) potential as a tool for retailers to improve customer experience and boost sales. While it provides benefits like personalized recommendations and 24/7 assistance, there are limitations, like difficulty in understanding unconventional language. The paper stresses careful integration to overcome these limitations and create a better customer experience. Additionally, it discusses the potential for further development and integration of ChatGPT in retail, such as generating product descriptions and virtual try-on experiences. Finally, the paper encourages retailers to embrace ChatGPT to meet their customer needs.

Case-based methodology involves using specific cases or examples to explore a broader issue or phenomenon. Researchers have analysed real-world cases to identify patterns, themes and insights that can be applied to other contexts or situations. This was useful for understanding complex and multifaceted issues as it allowed us to delve deeper into specific examples and explore the nuances of the situation.

While ChatGPT is a powerful tool for retailers, limitations such as difficulty in understanding non-standard accents and unconventional language can arise, causing customer frustration. Retail managers must integrate ChatGPT in a way that enhances customer experience. In the future, ChatGPT has the potential to generate product descriptions, provide virtual try-on experiences and integrate with augmented or virtual reality technology to offer more immersive experiences. Careful consideration and integration can help retailers overcome these limitations and offer personalized recommendations, round-the-clock assistance and an engaging customer experience that improves sales.

The case topic is very much in a novel stage of research and writing.

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.