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Efforts aimed at evaluating quality in leisure, tourism and hospitality have concentrated predominantly on measuring perceived service quality using the SERVQUAL scale, either in its original form or with modifications. While these studies are of great theoretical and practical value, the focus on measuring consumer satisfaction may limit the potential scope of the quality-measurement process. This is particularly true in assessing the quality of complex services such as those found in the leisure, tourism and hospitality sectors, which may require the application of a range of measures that will collectively contribute to the identification of quality levels. This article critically evaluates the potentialities and limitations of the SERVQUAL scale in measuring quality in leisure, tourism and hospitality. It concludes that the SERVQUAL scale is a necessary but insufficient measure of quality within these sectors and specifies implications for future research.

In complex environments, the use of technology to enhance the capability of people is commonplace. In rapidly changing and often unpredictable environments, it is not enough that these human-automated “teams” perform well when events go as expected. Instead, the human operators and automated aids must be flexible, capable of responding to rare or unanticipated events. The purpose of this chapter is to discuss the Framework of Automation Use (Dzindolet, Beck, Pierce, & Dawe, 2001) as it relates to adaptive automation. Specifically, our objectives are to: (1) examine a number of factors that determine how people can effectively integrate their activities with their machine partners in fluid environments and (2) consider the implications of these findings for future research.

The level of trust in a service provider is an important decision factor when buying industrial services. Especially, the outcome uncertainties of services, its individuality, and asymmetric information between buyer and seller are some reasons that the evaluation of trust is a key component in service trading. Consequently, searching of potential new suppliers involves examining providers’ trustworthiness. This paper focuses on the study of online trust signals used by buyers, to assess provider’s trustworthiness in the context of industrial services. The main research objective is to propose the basis for a digital tool, which helps buyers to assess provider’s trustworthiness by providing a “standardized trustworthiness signal description” and “trust functionalities.” A particular approach is used, wherein different methods are mixed such as a case study, expert interviews, and a quantitative method following the guideline of the design science paradigm. The aim is to propose a useful tool for trustworthiness assessment to enhance e-markets for industrial services.

The study here responds to the view that the crucial problem in strategic management (research) is firm heterogeneity – why firms adopt different strategies and structures, why heterogeneity persists, and why competitors perform differently. The present study applies complexity theory tenets and a “neo-configurational perspective” of Misangyi et al. (2016) in proposing complex antecedent conditions affecting complex outcome conditions. Rather than examining variable directional relationships using null hypotheses statistical tests, the study examines case-based conditions using somewhat precise outcome tests (SPOT). The complex outcome conditions include firms with high financial performances in declining markets and firms with low financial performances in growing markets – the study focuses on seemingly paradoxical outcomes. The study here examines firm strategies and outcomes for separate samples of cross-sectional data of manufacturing firms with headquarters in one of two nations: Finland (n = 820) and Hungary (n = 300). The study includes examining the predictive validities of the models. The study contributes conceptual advances of complex firm orientation configurations and complex firm performance capabilities configurations as mediating conditions between firmographics, firm resources, and the two final complex outcome conditions (high performance in declining markets and low performance in growing markets). The study contributes by showing how fuzzy-logic computing with words (Zadeh, 1966) advances strategic management research toward achieving requisite variety to overcome the theory-analytic mismatch pervasive currently in the discipline (Fiss, 2007, 2011) – thus, this study is a useful step toward solving the crucial problem of how to explain firm heterogeneity.

The aim of this chapter is to investigate factors affecting four of the gaps encompassed in the GAP model, which then results in Gap 5, the so-called customer gap, related to the variance between customer expectations and the perception of service quality (SQ). Four predictors were selected based on the literature review – marketing research orientation (MRO), service specification design (SSD), integrated technology (ITC) and integrated communication (ICO) – to examine their relationship with the customer gap. A valid and reliable questionnaire, developed for the purpose of the study, was used to collect data from a sample consisting of 600 employees from six hotels located in Amman, Jordan. The findings show that MRO, SSD, ITC and ICO significantly predict the four gaps in SQ on the provider side, which in turn significantly predict the customer gap. For companies, more attention should be paid to the four gaps that induce the customer gap.

Recovery seems to be one of the most important mechanisms explaining the relationship between acute stress reactions and chronic health complaints (Geurts & Sonnentag, 2006). Moreover, insufficient recovery may be the linking mechanism that turns daily stress experiences into chronic stress. Given this role recovery has in the stress process, it is important to ask in which contexts and under what circumstances recovery takes place.