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Compulsive social media use has the potential to reduce well-being. In this study, the authors propose that there are two main paths to compulsive social media consumption. One is behavioral and based on habit; the other is motivational and rooted in the fear of missing out. This study aims to test the antecedents of these two drivers as well as their consequences for the tendency to engage in compulsive social media consumption.

The authors applied a quantitative research design and collected data through a survey of 600 respondents from a representative sample. The authors used structural equation modeling to test their conceptual model and hypotheses. Gender and age were included as moderators to investigate the model’s boundary conditions.

The authors found support for all the suggested relationships in the conceptual model. The findings indicate two main manifestations of compulsive social media use – always being logged in (i.e. the frequency of social media consumption) and excessive use (the intensity of consumption) – that in turn spurred a reinforcer of compulsivity: disconnection anxiety. The findings also indicate two main paths to compulsive social media consumption. One path is behavioral, based on habit, and the other is motivational, based on fear of missing out. Moreover, the authors identified the key antecedents of both paths. Habit formation was observed to be a function of situational cues (technological nudges in the online sphere) and consumer engagement. Fear of missing out was shaped by both injunctive norms (a consumer norm to be online) and descriptive norms (social proof).

Although the antecedents of compulsive social media consumption suggested in this study have a strong and significant effect, the explained variance in the dependent variables being always logged in and excessive social media use indicates that there might be other drivers as well. These should be explored along with moderators other than gender and age to identify the potential boundary conditions of the model.

The main implications of the present work point to the “ease” with which typical or normal social media use may spiral out of control and become compulsive, with adverse implications for consumer health and well-being.

The behavioral and motivational paths to compulsive social media consumption have been less explored and have not yet been studied in conjunction, nor have their antecedents and consequences. Thus, this is a novel approach to understanding how social media use can potentially lead to reduced control and well-being.

Building on the multi-divisional business model (M-model), the purpose of this paper is to develop a better understanding of triadic business models – T-models – and how they create value for their three categories of stakeholders, i.e., the suppliers, the platform firm and the buyers. The research question that guides the present study is twofold: How is value created individually and collectively in triadic business models and what might challenge their sustainability?

Anchored in extant literature and a process of conceptual modeling with empirical examples from Uber, a new business model archetype was developed for two-sided markets mediated by a middleman.

The paper provides a theoretically and conceptually derived roadmap for sustainable business in a triadic business model, i.e., for the buyers, sellers and the platform firm. This model is coined the T-model. A number of propositions are derived that argue the relationship between key constructs. Finally, the future beyond the T-model is explored.

The paper identifies, illustrates and discusses the ways in which value is created in sustainable T-models. First, value is created from a number of sources, not only from lower transaction costs. Second, it is proposed that it is not about a choice of either M-model or T-model but rather a continuum. Toward 2050, technology in general and Blockchain specifically may for some transactions or services, eliminate the need for middlemen. The main conclusion is that despite this development, there will, for most organizations, be elements of the M-model in all or most T-model businesses. In short: middlemen will have elements of the M-model embedded in the T-model when co creating value with buyers and sellers.

While two-sided T-models are not new to the business area, surprisingly no papers have systematically investigated, illustrated, and discussed how value is created among and between the three stakeholder categories of the T-model. With this insight, more sustainable T-models can be created.

Organizations (data gatherers in the context) drown in data while at the same time seeking managerially relevant insights. Academics (data hunters) have to deal with decreasing respondent participation and escalating costs of data collection while at the same time seeking to increase the managerial relevance of their research. The purpose of this paper is to provide a framework on how, managers and academics can collaborate better to leverage each other’s resources.

This research synthesizes the academic and the managerial literature on the realities and priorities of practitioners and academics with regard to data. Based on the literature, reflections from the world’s leading service research centers, and the authors’ own experiences, the authors develop recommendations on how to collaborate in research.

Four dimensions of different data realities and priorities were identified: research problem, research resources, research process and research outcome. In total, 26 recommendations are presented that aim to equip academics to leverage the potential of corporate data for research purposes and to help managers to leverage research results for their business.

This paper argues that both practitioners and academics have a lot to gain from collaborating by exchanging corporate data for scientific approaches and insights. However, the gap between different realities and priorities needs to be bridged when doing so. The paper first identifies data realities and priorities and then develops recommendations on how to best collaborate given these differences.

This research has the potential to contribute to managerial practice by informing academics on how to better collaborate with the managerial world and thereby facilitate collaboration and the dissemination of academic research for the benefit of both parties.

Whereas the previous literature has primarily examined practitioner–academic collaboration in general, this study is the first to focus specifically on the aspects related to sharing corporate data and to elaborate on academic and corporate objectives with regard to data and insights.

The purpose of this paper is to develop a framework for understanding service design and how service design relates to central concepts within service marketing.

For companies, service design is growing in importance and has become a crucial capability to survive in the service-dominant economy. Service design increases the capacity to improve not only service experiences but also organizational design. On this premise, the authors propose a conceptual framework.

By relating service design to research efforts within service marketing, dual value creation can be enhanced. As such, the conceptual framework portrays service design as an enhancer of customer experience and organizational performance.

To the authors knowledge, service design has not been discussed in the service marketing literature. Thus, this is the first attempt to see service design in light of well-established service marketing models such as SERVQUAL and an updated version of the Service-profit-chain.

Based on theory from consumer behavior and cognitive psychology, the purpose of this paper is to discuss and test corporate image and customer satisfaction as two routes to customer loyalty. Based on data from 600 individual customers categorized as having high or low service expertise of three companies within the package tour industry, a conceptual model is proposed and tested empirically using structural equation modeling. The data used in the study are included in The Norwegian Customer Satisfaction Barometer. The paper concludes by claiming that for complex services, corporate image and customer satisfaction are not two separate routes to customer loyalty. Corporate image impacts customer loyalty directly whereas customer satisfaction does not. This finding was consistent with high and low service expertise. These results challenge the disconfirmation paradigm which predicts customer satisfaction as the primary route to customer loyalty. From a managerial perspective, information regarding the relative strength of the two routes is vital with regard to resource allocation in order to improve customer loyalty.

The purpose of this study is to explore three paradoxes of service innovation and provide a way forward for fresh thinking on the topic.

Through a conceptual model of service innovation research, the authors challenge the “pro-change” bias and explore what can be learnt from the duality of service innovation.

This paper suggests that research moves beyond a firm perspective to study service innovation on multiple levels of abstraction. A conceptual model based on two dimensions, level (individual, organization and society) and outcome (success, failure), is used to pinpoint and explore three dualities of service innovation: adopt–reject, change–static and good–bad.

By challenging the traditional perspective on service innovation, the authors present new avenues for fresh thinking in research on service innovation. In this paper, the authors encourage researchers and managers to learn from failures and to acknowledge the negative effects of service innovation.

The purpose of this paper is to provide insight into the decision process behind whether customers complain, and to identify the effects of the situational factor credence quality in this decision process.

A quasi-experimental design is used in which scenarios are applied in combination with a survey to test and to compare the model and its boundary conditions with existing consumer behavior models.

The mental-accounting process (theory of trying to complain (TTC)) seems to be a stronger predictor than mere attitude models (theory of planned behavior) when trying to explain intention to complain. Second, anticipated justice from complaint handling is a strong driver of intention to complain. Third, in both models, subjective norms are a strong predictor of intention to complain.

This study contributes to both theory and practice by extending existing theory and offering the TTC, and by providing practical insight for service managers.

To the best of the authors’ knowledge, the current study is the first to compare systematically two complaint approaches explaining complaint intention: the attitude model and the mental-accounting model.

The objective of this research is to provide insight into the management of service quality and emotions across customer relationships in the business‐to‐consumer market and to identify which segmentation method, i.e. conceptual versus data‐driven, is more effective for this purpose.

A cross‐sectional customer satisfaction survey conducted in the hotel industry was used to test the predictions. The respondents were Norwegian customers (n=689) of an international hotel chain, interviewed by telephone through a professional marketing research bureau. Several statistical analyses were applied to analyze the data, i.e. Cluster, MANOVA and regression. The conceptual model was estimated using PLS.

It would appear that the weaker the relationship segment, the more quality‐based and disappointing is the customer experience. The stronger or closer the relationship segment, the more balanced (with respect to price and quality) and joyful is the experience. One segmentation method seems to be more efficient than the other in this context.

The sample consists of Norwegian customers from the hotel industry represented by the business customer segment. There are more men than women in the samples.

The findings will allow service providers to develop more effective product‐service‐price offerings and manage the emotional responses of customers with whom they have very different relationships.

This is the first scientific study to examine just how the role of emotions varies across relationship segments while comparing the findings from two different segmentation techniques.

The strategy literature focuses on the firm or industry as the unit of analysis. In the game of “jockeying for positions” through “a process of creative destruction”, companies create imperfections (dominating suppliers and customers create entrance barriers) to achieve results above average. Very seldom is government, as an entity with its own strategies, discussed in this “war game” between companies. States that government (i.e. central and local) is the unit of analysis with a defined goal of maximizing utility for the inhabitants through the services rendered, i.e. internal efficiency and external effectiveness. To finance the services offered to the public and various organizations, government must develop strategies which will maximize both short‐ and long‐term tax revenues without reducing utility for the users. Consequently government succeeds when companies are competitive. Discusses strategic factors which are under the control of government in order to attract MNCs′ global investments by improving the industry structure and thereby competitiveness; to create a win‐win situation for both companies (domestic and MNC‐subsidiaries) and government in order to secure long‐term domestic growth (performance).

A large number of service corporations are configured with headquarters that determine the major principles of operation (services, pricing, marketing and advertising) and regional salesforces that are responsible for acquiring new customers and catering to the needs of existing customers. This separation of work within the corporation opens up a principal‐agency approach to the service production and delivery. Develops a conceptual model to examine the individual and joint work done by headquarters and regional salesforces in creating customer loyalty. Uses an external dyadic channel perspective ‐ i.e. channel and customer. A relationship between the channel and the customer is hypothesized to be one where customers perceive the regional salesforces to be their focal point to the company. Proposes and empirically tests a conceptual model based on data from 1,400 individual customers of a Norwegian life insurance company. Analyses data using structural equation modelling. Estimates headquarters’ and regional salesforces’ contribution to customer satisfaction and loyalty on the attribute level, based on path coefficients. Concludes by claiming that headquarters’ contribution to customer loyalty is more significant than that of the regional salesforces. These findings challenge headquarters’ assumptions about improving customer relations through regional salesforces. From a managerial perspective, information regarding channel members’ individual and joint contribution to customer loyalty is vital with regard to resource allocation to improve customer satisfaction and thus customer loyalty.