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The purpose of this paper is to examine the superiority of comparative evaluation or relative attitudinal measurement approach in which the respondent evaluates one object with direct comparison with other objects. The study uses comparative and non-comparative approaches to examine the effects of service quality, value, and customer satisfaction on attitudinal loyalty in a service setting.

The study uses the data collected from the survey of 300 customers of two large Indian banks.

The results provide partial support to the superiority of the comparative evaluation over non-comparative evaluation. Additionally, results indicate that service quality positively affects customer value, and both service quality and customer value have a direct positive effect on customer satisfaction. Customer satisfaction drives attitudinal loyalty which in turn leads to customers’ willingness to pay more.

In the study, two banks were used for comparative evaluation. Since consumers’ consideration set can consist of more than two alternatives, future studies can include more than two objects.

Non-comparative measurements do not always adequately explain customer loyalty and superior performance of firms. This could potentially lead to misinterpretations of effects of service quality improvement programs and thus sub-optimal management decisions. Managers should use comparative evaluation approach for measuring marketing variables wherever possible.

Although the use of comparative evaluation is suggested in the literature (Dick and Basu, 1994), extant research has not systematically examined its superiority over non-comparative evaluation. This study empirically tests the comparative evaluation approach against the non-comparative approach by examining a comprehensive model involving the interrelationships among service quality, value, customer satisfaction, and their impact on attitudinal loyalty and willingness to pay more.

Service technologies are transforming the business landscape rapidly. This paper aims to explore the current scope of research in regard to emerging service technologies by comparing the content of articles in academic journals with practitioner-oriented publication outlets.

A total of 5,118 technology-related articles from service journals, service conferences, business journals and business magazines are analyzed. Text-mining on abstracts is used for the thematic and semantic analysis. Common research themes and their relationships are depicted in a two-dimensional structured network. Further, the sample is analyzed regarding various technologies mentioned in the Gartner Hype Cycle.

The paper reveals differences in academic and business perspectives in regard to service technologies. In comparison to business journals, scientific service research is more focused on customer-related aspects of technology. Service research has a less concrete focus on technology than in business publications. Still, service conference articles show a broader scope of emerging service technologies than academic journal articles.

Scientific research should focus on more concrete service technologies. Business magazines serve as a good source for that and the paper identifies several promising new technology fields.

Although business magazines cover significantly more concrete service technologies, they miss the integrated perspective that academic articles usually offer. Academia can help business to better align concrete technologies with different internal and external perspectives.

This paper serves as an introduction to the special issue Future Service Technologies. Additionally, a quantitative study of recent service technology research serves as a reality check for academic researchers on business reality and provides research and practical recommendations.

Corporate social responsibility (CSR) is an increasingly important issue for service brands in fast fashion retailing, as consumers' negative impressions about retailers' CSR activities influence brand experience. Consumers' impressions of CSR efforts arise based on agendas communicated through many channels from different sources. The paper unravels the ‘wrinkles’, i.e. possible mismatches in CSR communication around service brands by studying differences between the three main sources of fast fashion brand-related CSR agendas: Autonomous company communication, news media and social media postings by consumers.

The authors use structural topic modeling (STM) to analyze a corpus of texts focusing on the CSR efforts of three major fast fashion service brands over three years. The texts included 89 items of company communication (CSR reports and press releases), 5,351 news media articles about the brands' CSR efforts and 57,377 consumer generated tweets about the brands.

The STM analysis extracted 26 different CRS-related topics from the texts. Results showed differences in how much the three sources emphasized topics. The brands' own communication puts emphasis on environmental responsibility. News media tended to report on economic issues, treatment of employees and specific CSR-related events. Twitter showed more activity in discussing incident-based and emotionally charged topics.

The results feed into the ongoing discussion about how companies' CSR communication relates to communication in the press and among consumers. The authors highlight themes in the individual topics that are emphasized by the three sources, and discuss how CSR themes emerge in the overall transformative agenda.

The paper highlights how fast fashion service brands can identify and understand different CSR agendas arising around their brand. Insight into such agendas can be used to tailor the brands' communication strategies.

The paper contributes to the understanding of the factors behind fashion service brands' CSR reputation, highlighting how the three main sources of CSR reputation (company reports, news and social media) emphasize different types of agendas.

Conversational agents (chatbots, avatars and robots) are increasingly substituting human employees in service encounters. Their presence offers many potential benefits, but customers are reluctant to engage with them. A possible explanation is that conversational agents do not make optimal use of communicative behaviors that enhance relational outcomes. The purpose of this paper is to identify which human-like communicative behaviors used by conversational agents have positive effects on relational outcomes and which additional behaviors could be investigated in future research.

This paper presents a systematic review of 61 articles that investigated the effects of communicative behaviors used by conversational agents on relational outcomes. A taxonomy is created of all behaviors investigated in these studies, and a research agenda is constructed on the basis of an analysis of their effects and a comparison with the literature on human-to-human service encounters.

The communicative behaviors can be classified along two dimensions: modality (verbal, nonverbal, appearance) and footing (similarity, responsiveness). Regarding the research agenda, it is noteworthy that some categories of behaviors show mixed results and some behaviors that are effective in human-to-human interactions have not yet been investigated in conversational agents.

By identifying potentially effective communicative behaviors in conversational agents, this study assists managers in optimizing encounters between conversational agents and customers.

This is the first study that develops a taxonomy of communicative behaviors in conversational agents and uses it to identify avenues for future research.

Nowadays, customers have big chunks of information on their smartphones and can acquire information and make decisions rapidly, oftentimes with the use of specific apps. Most of the research on this topic to date has been conducted from the perspective of the provider, or the company, therefore missing the value that is created with these apps in the customer’s own domain according to the customer-dominant logic (CDL) approach.

As compared with prior research, CDL requires a different type of research that is much more inclined towards customers and specific circumstances. This paper is positioned within CDL (Heinonen and Strandvik, 2015) and aims to quantitatively explore app usage in different customer contexts.

Seven apps were tested in two different usage contexts: a social vs an individual context and a calm vs dynamic context. It was found that for the social vs individual context there was no difference; thus, managers should not pay too much attention to whether the user of the digital service is in a social context. For the calm vs dynamic social context, it was found that customers’ satisfaction, enjoyment, pleasure and their overall rating of an app were higher when the customer as in a tranquil vs dynamic context.

The proposed method provides a highly relevant way to approach app development from a CDL perspective.

These findings provide evidence that context matters and that we should study customer behavior from a more integral and detailed perspective as has been advocated by CDL.

App research should incorporate a customer focused approach. This means that not only the customers’ needs need to be considered. The circumstances and context in which apps are used are highly relevant as well.

This research uses a CDL approach to provide evidence about the consequences for app usage and satisfaction and shows the necessity of incorporating specific circumstances, customer experience and usage variables to a larger extend than has been advocated in the past.

Brand alliances take various forms, yet academic research has not investigated how value spillovers differ between partners. The purpose of this paper is to address psychological mechanisms to uncover consumers’ perceptions of a service alliance when a strong service brand partners with a weak one.

An experiment used a 2 (perceived value of parent brand X: high vs low)×2 (perceived value of parent brand Y: high vs low)×2 (alliance contribution: equal vs unequal) full-factorial between-subjects design.

Service alliance value is maximal when both parent brands have high perceived value but is lowest when both are of low perceived value. When their perceived value varies, the alliance value approximates the higher rather than the lower value parent. This effect increases with the relative size of a parent brand’s contribution to the alliance service. Alliances also enhance perceptions of the value of each parent brand.

In an alliance between a strong and a weak service brand, the strong brand lifts the alliance, and consumers perceive high value. Companies should avoid service alliances with weaker brands that make major contributions.

This study investigates how value spillovers vary across different forms of service alliances. Moreover most alliance research focusses on products while services (such as education) are more involved in alliances than ever.

The purpose of this paper is to craft a future research agenda to advance smart service research and practice. Smart services are delivered to or via intelligent objects that feature awareness and connectivity. For service researchers and managers, one of the most fascinating aspects of smart service provision is that the connected object is able to sense its own condition and its surroundings and thus allows for real-time data collection, continuous communication and interactive feedback.

This article is based on discussions in the workshop on “Fresh perspectives on technology in service” at the International Network of Service Researchers on September 26, 2014 at CTF, Karlstad, Sweden. The paper summarizes the discussion on smart services, adds an extensive literature review, provides examples from business practice and develops a structured approach to new research avenues.

We propose that smart services vary on their individual level of autonomous decision-making, visibility and embeddedness in objects and customer lives. Based on a discussion of these characteristics, we identify research avenues regarding the perception and nature of smart services, the adoption of smart services, the innovation through smart services as well as regarding the development of new business models.

Smart services is a new emerging topic in service marketing research, their implications on organizations, customers and the service landscape have not been fully explored. We provide a fresh perspective on service research by characterizing relevant aspects of smart service that will stimulate fruitful future research and advance the understanding and practice of smart services.

States that providing quality customer service is increasingly regarded as an important basis for establishing and maintaining solid and long‐term relationships between manufacturers and distributors in marketing channels. Discusses the results of a research project which was undertaken to study the relationship between perceived service quality, supplier power bases and perceived relationship strength in international marketing channels. Finds that two dimensions can be used for characterizing perceived service quality in international marketing channels: service elements controlled by intermediary personnel; and service elements controlled by management. Moreover reveals that perceived service quality is an important determinant of perceived relationship strength, in contrast to coercive power bases such as offering rewards or undertaking punitive action. Concludes that, particularly in long channel structures, perceived service quality forms an important marketing channel instrument for relationship marketing.

Notes that after‐sales field service has become an established competitive differentiator among equipment manufacturers. From the service provider’s perspective, effective field service management is essential for operational productivity, customer satisfaction and retention, and profitability. Benchmarking is a process for measuring a firm’s performance against the best‐in‐class, and using such an analysis to meet or exceed the best‐in‐class performance. Develops a benchmarking approach that utilizes customer satisfaction survey results in conjunction with a zero defects metric. The applicability of this method is demonstrated through its use in competitive and internal benchmarking of equipment field services in the case of a European office‐equipment manufacturer.

Effective measurement and analysis of service quality are an essential first step in its improvement. This paper discusses the development of neural network models for this purpose. A valid neural network model for service quality is initially developed. Customer data from a SERVQUAL survey at an auto‐dealership network in The Netherlands provide the basis for model development. Different definitions of service quality measurement are modelled using the neural network approach. The perception‐minus‐expectation model of service quality was found not to be as accurate as the perception‐only model in predicting service quality. While this is consistent with the literature, this study also shows that the more intuitively appealing but mathematically less convenient expectation‐minus‐perception model out‐performs all the other service quality measurement models. The study also provides an analytical basis for the importance of expectation in the measurement of service quality. However, the study demonstrates the need for further study before neural network models may be effectively used for sensitivity analyses involving specific dimensions of service quality.