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We investigate behavioral reactions toward exogenous changes of implicit norm-relevant information in a natural field setting where customers are free to choose if and how much to pay for a service. Customers' voluntary payments are significantly affected by subtle information cues: cues that signal a high rather than a low payment norm increase payments by some 27%. Consistent with the conjecture that this effect is in large part driven by customers' uncertainty about the actual norm, responses are mitigated when explicit norm-relevant information is provided. Additional treatments suggest that the reactions to the cues are not driven by mere saliency but by the information deduced from the cues in the presence of uncertainty.

How can we ensure high-quality public services such as health care and education? Governments spend huge amounts of public money on public services such as health, education, and social care, and yet the services that are actually delivered are often low quality, inefficiently run, unresponsive to their users, and inequitable in their distribution. In this book, Julian Le Grand argues that the best solution is to offer choice to users and to encourage competition among providers. Le Grand has just completed a period as policy advisor working within the British government at the highest levels, and from this he has gained evidence to support his earlier theoretical work and has experienced the political reality of putting public policy theory into practice. He examines four ways of delivering public services: trust; targets and performance management; \"voice\"; and choice and competition. He argues that, although all of these have their merits, in most situations policies that rely on extending choice and competition among providers have the most potential for delivering high-quality, efficient, responsive, and equitable services. But it is important that the relevant policies be appropriately designed, and this book provides a detailed discussion of the principal features that these policies should have in the context of health care and education. It concludes with a discussion of the politics of choice.

This study uses the critical incident technique to collect and analyze incidents of service failure and success involving a logistics sharing service in which the service providers are individuals. The authors also explore the key factors that affect customer satisfaction, along with the official and ideal recovery strategies. Data is based on interviews with 35 business users in Taiwan in 2017. A card sorting exercise is employed to classify the collected incidents and strategies into categories. The results show that the determinants of success and failure in logistics sharing services include drivers, platform operation, the matching system, and communication. Compensation is the most effective recovery strategy, whereas doing nothing is the least effective. Suggestions based on our results can help managers of the sharing economy to avoid or recover from failures and attain success.

Service-dominant logic continues its evolution, facilitated by an active community of scholars throughout the world. Along its evolutionary path, there has been increased recognition of the need for a crisper and more precise delineation of the foundational premises and specification of the axioms of S-D logic. It also has become apparent that a limitation of the current foundational premises/axioms is the absence of a clearly articulated specification of the mechanisms of (often massive-scale) coordination and cooperation involved in the cocreation of value through markets and, more broadly, in society. This is especially important because markets are even more about cooperation than about the competition that is more frequently discussed. To alleviate this limitation and facilitate a better understanding of cooperation (and coordination), an eleventh foundational premise (fifth axiom) is introduced, focusing on the role of institutions and institutional arrangements in systems of value cocreation: service ecosystems. Literature on institutions across multiple social disciplines, including marketing, is briefly reviewed and offered as further support for this fifth axiom.

In this article, we offer a broadened view of service innovation—one grounded in service-dominant logic—that transcends the tangible–intangible and producer–consumer divides that have plagued extant research in this area. Such a broadened conceptualization of service innovation emphasizes (1) innovation as a collaborative process occurring in an actor-to-actor (A2A) network, (2) service as the application of specialized competences for the benefit of another actor or the self and as the basis of all exchange, (3) the generativity unleashed by increasing resource liquefaction and resource density, and (4) resource integration as the fundamental way to innovate. Building on these core themes, we offer a tripartite framework of service innovation: (1) service ecosystems, as emergent A2A structures actors create and recreate through their effectual actions and which offer an organizing logic for the actors to exchange service and cocreate value; (2) service platforms, which enhance the efficiency and effectiveness of service exchange by liquefying resources and increasing resource density (facilitating easy access to appropriate resource bundles) and thereby serve as the venue for innovation; and (3) value cocreation, which views value as cocreated by the service offer(er) and the service beneficiary (e.g., customer) through resource integration and indicate the need for mechanisms to support the underlying roles and processes. In discussing these components, we consider the role of information technology—both as an operand resource and as an operant resource—and then examine the implications for research and practice in digitally enabled service innovation.

Over the past 15 years, digital media platforms have revolutionized marketing, offering new ways to reach, inform, engage, sell to, learn about, and provide service to customers. As a means of taking stock of academic work's ability to contribute to this revolution, this article tracks the changes in scholarly researchers' perspectives on three major digital, social media, and mobile (DSMM) marketing themes from 2000 to 2015. The authors first use keyword counts from the premier general marketing journals to gain a macro-level view of the shifting importance of various DSMM topics since 2000. They then identify key themes emerging in five-year time frames during this period: (1) DSMM as a facilitator of individual expression, (2) DSMM as decision support tool, and (3) DSMM as a market intelligence source. In both academic research to date and corresponding practitioner discussion, there is much to appreciate. However, there are also several shortcomings of extant research that have limited its relevance and created points of disconnect between academia and practice. Finally, in light of this, an agenda for future research based on emerging research topics is advanced.

The article reports on an exploratory, multisite case study of four organizations from the insurance, banking, telecommunications, and e-commerce industries that implemented big data analytics (BDA) technologies to provide individualized service to their customers. Grounded in our analysis of these four cases, a theoretical model is developed that explains how the flexible and reprogrammable nature of BDA technologies provides features of sourcing, storage, event recognition and prediction, behavior recognition and prediction, rule-based actions, and visualization that afford (1) service automation and (2) BDA-enabled human-material service practices. The model highlights how material agency (in the case of service automation) and the interplay of human and material agencies (in the case of human-material service practices) enable service individualization, as organizations draw on a service-dominant logic. The article contributes to the literature on digitally enabled service innovation by highlighting how BDA technologies are generative digital technologies that provide a key organizational resource for service innovation. We discuss implications for research and practice.

This study examines frontline employee responses to corporate social responsibility (CSR) using a multisourced data set at a Global 500 financial services company. The authors find that frontline employees identify with the organization (i.e., organizational identification) and with customers (i.e., employee–customer identification) as a function of how much the employees perceive management and customers (respectively) to support the company’s CSR activities. However, these respective effects are stronger among employees for whom CSR is already tied to their sense of self (i.e., CSR importance to the employee). In addition, both organizational identification and employee–customer identification are related to supervisor-rated job performance; however, only the effect of employee–customer identification is mediated by customer orientation, suggesting that these two targets of identification manifest through distinct mechanisms. The research empirically addresses the open questions of whether and when CSR can yield observable changes in employee behavior and alerts researchers to a novel target of identification for frontline employees.

Teachers affect a variety of student outcomes through their influence on both cognitive and noncognitive skill. I proxy for students’ noncognitive skill using non–test score behaviors. These behaviors include absences, suspensions, course grades, and grade repetition in ninth grade. Teacher effects on test scores and those on behaviors are weakly correlated. Teacher effects on behaviors predict larger impacts on high school completion and other longer-run outcomes than their effects on test scores. Relative to using only test score measures, using effects on both test score and noncognitive measures more than doubles the variance of predictable teacher impacts on longer-run outcomes.