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This chapter describes the complementary benefits of model-building and data analysis using algorithm and statistical modeling methods in the context of unobtrusive marketing field experiments and in transforming findings into isomorphic-management models. Relevant for marketing performance measurement, case-based configural analysis is a relatively new paradigm in crafting and testing theory. Statistical testing of hypotheses to learn net effects of individual terms in MRA equations is the current dominant logic. Isomorphic modeling might best communicate what executives should decide using the findings from algorithm and statistical models. Data testing these propositions here uses data from an unobtrusive field experiment in a retailing context and includes two levels of expertise, four price points, and presence versus absence of a friend (“pal” condition) during the customer-salesperson interactions (n = 240 store customers). The analyses support the conclusion that all three approaches to modeling provide useful complementary information substantially above the use of one or the other alone and that transforming findings from such models into isomorphic-management models is possible.

The Minnesota State University System's Project for Automated Library Systems (MSUS/PALS) is a fully integrated library system that serves over 150,000 patrons on a network of 53 state university, community college, private college, and state agency libraries throughout Minnesota.

This study investigates the motivation among customers to be more loyal to online food delivery applications (OFDA) services even after the COVID-19 epidemic by using perceived service quality aspects in Sri Lanka. The data were gathered by physically distributing a self-administrated questionnaire to clients in Sri Lanka who continue to use OFDA services on platform to customer (P2C) service delivery platforms to buy food despite the COVID-19 outbreak. Multiple regression is employed to analyse 287 effective observations, and the data revealed the significant positive effect of interaction, environment, outcome, and food qualities on customer loyalty to OFDA services. In fact, there is no impact from the delivery quality on customer loyalty to OFDA services due to outsourced food delivery. The findings suggest regular improvements in attributes such as interaction, environment, outcome, and food qualities in this hyper-competitive business environment. Further, this study sets substantial facts for the interested parties to establish an exemplary delivery system and other technological advancements to have a sustainable competitive advantage and solid customer base in the long run.

This study aims to scrutinize the halal trust model by integrating the quality and valence theory in the mobile food purchasing service during the COVID-19 outbreak.

This research uses data from 368 Muslim customers collected via an online survey from Bandung, West Java, Indonesia. This study uses partial least square modelling to appraise the formation of halal trust, including halal food quality, mobile apps quality, perceived benefit and health risk as drivers and loyalty as the consequence.

The data analysis notes that the combination of perceived quality and valence theory provides a comprehensive understanding of halal trust in mobile halal food purchasing during COVID-19. This study also verifies the crucial role of halal food quality and mobile apps quality in gaining halal trust.

This study used data from Muslim customers of the greater Bandung, Indonesia. The data limited the generalization of this study's findings. Moreover, this study predicted halal trust by integrating perceived benefit, perceived trust and quality as the predictors, whereas other determinants such as commitment and reputation were not included. Therefore, future researchers can incorporate these issues in their future halal trust research.

To gain Muslim trust, this study recommends managers whose halal food is sold via mobile apps ensure that their halal food has a quality standard, made of, and processed according to Islamic values. Next, having a high-quality mobile app is also a must.

This study is early research that examines the integration of the quality and valence theory to evaluate halal trust in mobile halal food purchasing during COVID-19.

Creating superior customer experience quality is important to firm success, but the link between customer experience quality and customer-to-customer interaction quality – a critical component of customer experience quality in mass service settings – has seldom been spotlighted. This paper aims to propose and test a theoretical model of the relationship among three types of customer-to-customer interaction quality (friend-interaction, neighboring customer-interaction and audience-interaction) and customer experience quality. They also examine these variables’ effects on customer citizenship behavior in mass service settings.

The authors collected data through a self-administered survey. The proposed relationships were tested using structural equation modeling.

Friend-interaction and audience-interaction quality perceptions significantly influence customer experience quality, with neighboring customer-interaction quality perception significant only for low communication quality. We find that enhancing customer experience quality is crucial to promoting citizenship behavior in mass service settings.

Neighboring customer-interaction quality perception has a significant effect on customer experience quality, particularly in a low communication quality situation. Therefore, service marketers should provide effective neighboring customer-interaction management schemes to enhance experience quality together with friend-interaction and audience-interaction management schemes when customers experience low communication quality. Additionally, service marketers should focus on enhancing communication quality only when anticipating low neighboring customer-interaction quality.

The findings highlight the effects of three types of customer-to-customer interaction quality on customer citizenship behavior through experience quality perception in mass service settings, and the effect of neighboring customer-interaction quality perception on customer experience quality, moderated by communication quality.

Recognizing Gigerenzer’s (1991) dictum that scientists’ tools are not neutral (tools-in-use influence theory formulation as well as data interpretation), this chapter reports theory and examines data in ways that transcend the dominant logics for variable-based and case-based analyses. The theory and data analysis tests key propositions in complexity theory: (1) no single antecedent condition is a sufficient or necessary indicator of a high score in an outcome condition; (2) a few of many available complex configurations of antecedent conditions are sufficient indicators of high scores in an outcome condition; (3) contrarian cases occur, that is, low scores in a single antecedent condition associates with both high and low scores for an outcome condition for different cases; (4) causal asymmetry occurs, that is, accurate causal models for high scores for an outcome condition are not the mirror opposites of causal models for low scores for the same outcome condition. The study tests and supports these propositions in the context of customer assessments (n = 436) of service facets and service-outcome evaluations for assisted temporary-transformations of self via beauty salon and spa treatments. The findings contribute to advancing a nuanced theory of how customers’ service evaluations relate to their assessments of overall service quality and intentions to use the service. The findings support the need for service managers to be vigilant in fine-tuning service facets and service enactment to achieve the objective of high customer retention.

Observable oral participation (OOP) of customers, in the service delivery system in general and in a store format retail setting in particular, occurs in many forms and frequencies. Focusses on customer‐to‐customer observable oral participation (OOP2), studied in relation to the more frequently researched customer‐employee observable oral participation (OOP1). From a study of the literature, and through a controlled customer survey at a retail store, findings clearly demonstrate customer reliance on person‐to‐person encounters, even in a predominantly self‐service environment, and identify the characteristics of customers more likely to engage in OOP2. Service providers devote little attention to OOP2 (compared to OOP1) in service delivery. However, OOP2 is a form of word‐of‐mouth which can be observed and, therefore, measured and managed, and customers are arguably a neglected human resource for a service organization. With this in mind, discusses implications for service encounter and human resource management.

The current study aims to explore the relationships between three kinds of customer-to-customer (C2C) interaction quality and brand loyalty via customer promotion and prevention emotions.

In order to test the model, we gathered self-administered data through an online survey. The relationships were examined using structural equation modelling (SEM).

The findings show that the influence of customer-to-customer interaction quality on promotion/prevention emotion varies: friend-interaction quality evokes both promotion emotion (high-arousal feelings) and prevention emotion (low-arousal feelings), whereas neighbouring customer-interaction quality elicits promotion emotion, and audience-interaction quality elicits prevention emotion. Moreover, the findings show that enhancing both promotion and prevention emotions is crucial to improve customer attitudinal loyalty in mass service settings, and the strength of the link from promotion emotion to attitudinal loyalty is stronger than that from prevention emotion.

The authors suggest that marketers should focus on facilitating effective friend- and neighbouring customer-interaction to enhance promotion emotion.

The paper contributes to a stream of research on customer-to-customer interaction by exploring the relative influences of three kinds of customer-to-customer interaction quality on customer attitudinal loyalty via post-consumption emotions.

Independent travelers are those vacationers who have booked only a minimum of their transportation and accommodation arrangements prior to departure on the vacation. Independent travel is an important and growing sector of worldwide tourism. Choice of vacation itinerary for the independent vacation represents a complex series of decisions regarding purchase of multiple leisure and tourism services. This chapter builds and tests a model of independent traveler decision-making for choice of vacation itinerary. The research undertaken employs a two-phase, inductive–deductive case study design. In the deductive phase, the researcher interviewed 20 travel parties vacationing in New Zealand for the first time. The researcher interviewed respondents at both the beginning and the end of their New Zealand vacations. The study compares pre-vacation research and plans, and actual vacation behaviors, on a case-by-case basis. The study examines case study narratives and quantitative measures of crucial variables. The study tests two competing models of independent traveler decision-making, using a pattern-matching procedure. This embedded research design results in high multi-source, multi-method validity for the supported model. The model of the Independent Vacation as Evolving Itinerary suggests that much of the vacation itinerary experienced in independent travel is indeed unplanned, and that a desire to experience the unplanned is a key hedonic motive for independent travel. Rather than following a fixed itinerary, the itinerary of an independent vacation evolves as the vacation proceeds. The independent traveler takes advantage of serendipitous opportunities to experience a number of locations, attractions and activities that they had neither actively researched nor planned.

This study used both qualitative and quantitative data to test hypotheses related to consumers’ motivations to engage in impulse buying. A grounded theory approach was used to develop hypotheses from in‐depth interviews. These hypotheses were tested by the collection and analysis of survey data. Data support the theory that impulse buying is a common method of product selection, in part, because the shopping act and impulsive product selection provide hedonic rewards. Further information‐processing overload confounds product selection, reinforcing the rewards to be obtained from alternative section heuristics, like impulse buying.