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The purpose of this paper is to identify the key drivers of share of wallet for credit cards issued by either a credit union (CU) or bank using a Wallet Allocation Rule (WAR) framework.

A survey approach engaging 1,649 current CU members at nine CUs regarding their use of 3,487 different credit cards is employed. Binary logistic regression is used to discriminate when CU issued vs bank issued credit cards are perceived to be “best” by their owners.

This research indicates the key drivers differ significantly when CU members prefer a CU-issued credit card vs a bank-issued credit card. For example, CU-issued credit cards are attractive to some CU members because of prior relationships with the CU and offering lower interest rates on revolving balances. By contrast, customers who choose a bank-issued credit card are much more likely to be driven by the rewards offered on the card.

Using the WAR key driver approach, managers can identify differentiating attributes that influence customers’ perceptions of their rank vis-à-vis competition and thereby grow share.

This research provides a significant contribution to both the banking literature and the scientific literature by examining the robustness of a relative metrics approach within the retail banking and CU market. It represents the first empirical analysis of a WAR key driver approach in the scientific literature.

The purpose of this investigation is to gain insight into parents' perceptions of benefits vs burdens (value) of educational and healthcare service received for their child with ASD. Parents are the main integrators of long-term educational and healthcare service for their child with ASD.

Design/methodology/approach included (1) a sentiment analysis of discussion forum posts from an autism message board using a rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media and (2) a qualitative content analysis of one-on-one interviews with parents of children diagnosed with ASD, complemented with interviews with experienced educators and clinicians.

Findings reveal the link between customized service integration and long-term benefits. Both parents and service providers emphasize the need to integrate healthcare and educational service to create holistic long-term care for a child with ASD. Parents highlight the benefits of varied services, but availability or cost are burdens if the service is not publicly provided, or covered by insurance. Service providers' lack of experience with ASD and people's ignorance of the challenges of ASD are burdens.

Ensuring health outcomes for a child with ASD requires an integrated service system and long-term, customer-centric service process because the scope of service covers the child's entire childhood. Customized educational and healthcare service must be allocated and budgeted early in order to reach the goal of a satisfactory service output for each child.

This is the first service research to focus on parents' challenges with obtaining services for their child with ASD. This paper provides service researchers and managers insight into parents' perceptions of educational and healthcare service value (i.e. benefits vs. burdens) received for their child with ASD. These insights into customer-centric perceptions of value may be useful to research and may help service providers to innovate and provide integrated service directly to parents, or indirectly to service providers, who serve children with ASD.

The purpose of this paper is to look into the topic of IP category extensions in an entertainment setting. The main goal of the study is to explore the reciprocal spillover effect of customer experience (CX) ratings with an intellectual property (IP) in one medium (i.e. film) on the sales of the same IP in other media (i.e. comic books).

The study is based on 21-years of monthly top 300 comic book direct market sales data linked to the release schedule and domestic box office gross figures for films featuring Marvel and DC comic book IP appearing in the weekly top 50 films over the same time period. The analysis is based on a hierarchical linear (i.e. mixed) model to account for the nested structure of the data.

The analysis reveals that CX ratings of weekly top 50 films featuring comic book IP have a quadratic relationship with comic book sales by the two major publishers. Films receiving very good but not excellent ratings are associated with the highest levels of incremental comic book sales.

The model is based on sales of periodical comic books in the direct market only (i.e. specialty shops) and does not account for sales of digital comics or collected editions through other channels. The analysis is also limited to IP for the two major publishers (Marvel and DC comics).

This study expands current knowledge on CX spillover effects between different media, contributing to entertainment and CX-literature alike.

The purpose of this study is to present a methodology for enhancing the quality and usefulness of online reviews for prospective customers to investigate how this contemporary form of instrumental support can be facilitated to strengthen customer-to-customer support.

This study develops an analytics framework with applications of machine learning models using customer review data from Amazon.com. Linear regression is commonly used for review helpfulness and sales prediction. In this study, Random Forest model is applied because of its strong performance and reliability. To advance the methodology, a custom script in Python is created to generate Partial Dependence Plots for intensive exploration of the dependency interpretations of review helpfulness and sales. The authors also apply K-Means to cluster reviewers and use the results to generate reviewer qualification scores and collective reviewer scores, which are incorporated into the review facilitation process.

The authors find the average helpfulness ratio of the reviewer as the most important determinant of reviewer qualification. The collective reviewer qualification for a product created based on reviewers’ characteristics is found important to customers’ purchase intentions and can be used as a metric for product comparison.

The findings of this study suggest that service improvement efforts can be performed by developing software applications to monitor reviewer qualifications dynamically, bestowing a badge to top quality reviewers, redesigning review sorting interfaces and displaying the consumer rating distribution on the product page, resulting in improved information reliability and consumer trust.

This study adds to the research on customer-to-customer support in the service literature. As customer reviews perform as a contemporary form of instrumental support, the authors validate the determinants of review helpfulness and perform an intensive exploration of its dependency interpretation. Reviewer qualification and the collective reviewer qualification scores are generated as new predictors and incorporated into the helpfulness-based review facilitation services.

This research aims to better understand customer experience, as it relates to customer commitment and provides a framework for future research into the intersection of these emerging streams of research.

This research contributes to theoretical and practical perspectives on customer experience and its measurement by integrating extant literature with customer commitment and customer satisfaction literature.

The breadth of the domains that encompass customer experience – cognitive, emotional, physical, sensorial and social – makes simplistic metrics impossible for gauging the entirety of customers’ experiences. These findings provide strong support of the need for new research into customer experience and customer commitment.

Given the complexity of customer experience, managers are unlikely to track and manage all relevant elements of the concept. This research provides a framework identifying empirically the most salient attributes of customer experience with particular emphasis on those elements that enhance commitment. This offers insight into service design to correspond with specific commitment and experience dimensions.

This research is the first to examine the customer experience as it relates to customer commitment – a key factor in customer loyalty, positive word of mouth and other desired outcomes for managers and marketers. This paper provides a framework for future research into these emerging topics.

The purpose of this paper is to assess the role of platforms in diffusing data value across multiple stakeholders.

Seminal theoretical and managerial work has been critically examined in order to justify the need for improving/extending the contemporary understanding of the data value creation process.

The results suggest that existing frameworks and conceptualizations of reciprocal data value provide incomplete understanding of the role of platforms in data value diffusion.

This paper provides service researchers with a better understanding of the role of platforms in data value diffusion. Future research can develop and validate new frameworks that reflect the proposed extended/improved view of data value creation.

Service and hospitality managers will be able to more effectively manage the role of platforms in data value diffusion. Specifically, this paper proposes that, in order for data to become a source of competitive advantage, there must be a symbiotic relationship among all the stakeholders of the data ecosystem.

The authors discuss how data creates value for different stakeholders in the hospitality industry.

The purpose of this paper is to highlight challenges for service firms communicating Environmental, Social and Governance (ESG) efforts to customers. Specifically, it focuses on the relationship between ESG metrics and reporting and customer perceptions of social innovativeness.

The empirical material comprises three years of data (2018–2020) covering more than 100 firms from three sources: (1) Social Innovation Index (Sii), which is collected as part of the American Innovation Index (Aii), (2) Bloomberg Sustainability Accounting Standards Board (SASB) ESG and (3) Datamaran.

ESG metrics and reporting do not suffice to explain customer perceptions of social innovativeness. Rather, a firm's industry plays the prominent role in affecting these perceptions where service firms are at a disadvantage as customers perceive services as less socially innovative compared to goods.

While ESG metrics and reporting provide important information for investors and regulators, they are not reflected in customers' perceptions of firms' social innovativeness, and services are at a disadvantage relative to goods. Therefore, services researchers and managers must advance their knowledge regarding how to better link ESG metrics and report to customers' perceptions.

The paper offers a first large-scale, cross-industry investigation of how ESG metrics and reporting impact customer perceptions of social innovativeness, leading to a research agenda on communication of ESG.

Absolute satisfaction ratings are widely used, but demonstrate a poor link to share of wallet, in part because this relationship is mediated and/or moderated by customer characteristics (including total spend in the category) and heterogeneity of scale usage. Relative satisfaction metrics, such as the Wallet Allocation Rule, have been shown to produce a much stronger link to share of wallet than absolute monadic ratings. This study compares absolute and relative satisfaction models after controlling for these mediating and moderating factors and re-examines the impact of these factors when using relative, rather than absolute metrics.

3,793 satisfaction ratings by 1,172 unique grocery customers across 5 countries (US, Brazil, Chile, France & Germany) are used to evaluate the mediating and moderating impacts of scale usage and customer characteristics on the relationship between satisfaction and share of wallet.

Relative metrics continue to significantly outperform absolute metrics after controlling for these factors. With the exception of the moderating influence of income, effects of customer characteristics and country differences are insignificant when linking relative satisfaction to share of wallet.

Managers need to re-evaluate their satisfaction measurement strategy in order to establish a strong link to actual behavior. While calculating relative satisfaction requires managers to collect data on competitors as well as the focal brand, this need for additional information is mitigated by a trade-off in terms of mediating and moderating information that is essential to properly model absolute metrics, but is not needed when using relative measures.

Provides a significant contribution to both retail literature and scientific literature in general by examining the robustness of a relative metrics approach within the grocery retail sector across a disparate collection of countries.

A common tactic in the analysis of the racial civil disorders of the 1960s has been to eliminate from data sets those events that occurred on university and college campuses. This procedure assumed a disjuncture between urban and campus collective violence, specifically in that the former would be related to local economic and social conditions and the latter would not. As a result, campus racial riots have not been well represented in the research on the rioting of the 1960s and their place in, and contribution to, the riot wave are not well understood. Contrary to earlier assumptions, our analysis shows a strong connection between campuses and their local context. First, campuses having stronger ties to local communities had higher rates of racial disorder during 1967–1969. Second, economic competition indicators for the local community influenced campus rioting, just as they influenced inner-city rioting. We conclude by discussing the implications of omitting campus events from past riot research.

The satisfaction and loyalty research argues that customer satisfaction is an antecedent to share of wallet (SOW). The double jeopardy view, however, argues that satisfaction and SOW levels are driven exclusively by penetration levels. Customer satisfaction and penetration, however, are not always positively related. The purpose of this paper is to explore the relevance and validity of these two divergent perspectives to creating growth in customer share of spending.

The authors examine a series of models evaluating the impact of both the relative penetration of a brand, and the satisfaction ratings of its customers on SOW using data covering 11 industry sectors, 188 brands, and 4,263 customers.

The authors find that part of the problem in reconciling these two views has been in how satisfaction is measured and analyzed. When using absolute satisfaction ratings of the firm/brand, the explanatory power of satisfaction on SOW is very weak at both the individual and firm level. When using satisfaction metrics relative to other competing brands, however, satisfaction is a strong predictor of customers’ share of category spending.

As predicted by double jeopardy, penetration is a strong predictor of firm-level SOW, but has almost no explanatory power at the individual level.

Managers need to focus on both improving penetration/reach and becoming the preferred brand in a customer’s usage set.

The research examines if (and if yes, how) satisfaction and penetration contribute to customers’ SOW allocations both at the individual and brand level.