Purpose – The authors aim to present partial least squares (PLS) as an evolving approach to structural equation modeling (SEM), highlight its advantages and limitations and provide an overview of recent research on the method across various fields. Design/methodology/approach – In this review article, the authors merge literatures from the marketing, management, and management information systems fields to present the state-of-the art of PLS-SEM research. Furthermore, the authors meta-analyze recent review studies to shed light on popular reasons for PLS-SEM usage. Findings – PLS-SEM has experienced increasing dissemination in a variety of fields in recent years with nonnormal data, small sample sizes and the use of formative indicators being the most prominent reasons for its application. Recent methodological research has extended PLS-SEM's methodological toolbox to accommodate more complex model structures or handle data inadequacies such as heterogeneity. Research limitations/implications – While research on the PLS-SEM method has gained momentum during the last decade, there are ample research opportunities on subjects such as mediation or multigroup analysis, which warrant further attention. Originality/value – This article provides an introduction to PLS-SEM for researchers that have not yet been exposed to the method. The article is the first to meta-analyze reasons for PLS-SEM usage across the marketing, management, and management information systems fields. The cross-disciplinary review of recent research on the PLS-SEM method also makes this article useful for researchers interested in advanced concepts.

PurposeThis article explores the impact of crises, such as the coronavirus pandemic, on service industries, service customers, and the service research community. It contextualizes pandemics in the realm of disasters and crises, and how they influence actors' well-being across the different levels of the service ecosystem. The paper introduces a resources–challenges equilibrium (RCE) framework across system levels to facilitate service ecosystem well-being and outlines a research agenda for service scholars.Design/methodology/approachLiterature on disasters, crises, service and well-being is synthesized to embed the COVID-19 pandemic in these bodies of work. The material is then distilled to introduce the novel RCE framework for service ecosystems, and points of departure for researchers are developed.FindingsA service ecosystems view of well-being co-creation entails a dynamic interplay of actors' challenges faced and resource pools available at the different system levels.Research limitations/implicationsService scholars are called to action to conduct timely and relevant research on pandemics and other crises, that affect service industry, service customers, and society at large. This conceptual paper focuses on service industries and service research and therefore excludes other industries and research domains.Practical implicationsManagers of service businesses as well as heads of governmental agencies and policy makers require an understanding of the interdependence of the different system levels and the challenges faced versus the resources available to each individual actor as well as to communities and organizations.Social implicationsDisasters can change the social as well as the service-related fabric of society and industry. New behaviors have to be learned and new processes put in place for society to maintain well-being and for service industry's survival.Originality/valueThis paper fuses the coronavirus pandemic with service and well-being research, introduces a resources-challenges equilibrium framework for service ecosystem well-being and outlines a research agenda.

This paper takes a closer look at the emerging topic of transformative service research (TSR) and compares its facets with the more established concept of the service-dominant logic (SDL). The paper thus contributes to both theory development and practical application. This work highlights the conceptual parallels in the two approaches, for example, their holistic approach, their systems thinking, addressing entities or actors within such system(s), inclusion of the wider environment, and their focus on the co-creative and interactive nature of well-being generation and value co-creation. The paper also reveals some differences, for example TSR's focus on eudaimonic and hedonic well-being outcomes vs. SDL's value co-creation. The paper concludes that both perspectives have merits, but could benefit from being used integratively. By comparing the areas of theory focus, practical application, value co-creation and co-destruction, intentionality, well-being and value concepts, and TSR and SDL's "logic", the paper provides suggestions for future research.

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This special issue has explored ways in which consumers engage with brands and firms within ever-evolving technological environments (Ostrom et al., 2015). The articles show how firms adopt an increasingly broad array of emerging technologies to facilitate interactions with their prospects and customers (