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This study aims to develop a better understanding of the key determinants of repetitive visits to coffee shops. The paper intends to answer a simple, yet crucial question, “Why do people go to coffee shops repeatedly, and frequently?”.

Two coffee shops in North Cyprus are used as case studies in order to provide in-depth information about the perceptions and experiences of coffee shop clients, managers and staff. An inductive methodological structure together with qualitative data collection methods provided a rich, exploratory setting.

A social network of customers and employees, communication with familiar people and sharing a homely feel are found to be the key determinants of clients' attachment. Comfort, security, sense of belonging and the convenience of the place also play a pivotal role. The traditional habit of coffee drinking is a prime motivation for people of this area to meet up and socialize.

Managers can optimize operational results as it is evident that social and cultural elements are the key drivers for repeat customer visits, while regional planners can set society-driven policies.

This study contributes to the literature by using a holistic approach to understand the factors which influence revisit intentions of coffee shop clients in relation to the third place, the place attachment and the service space concepts. The research approach employed is also significant as it enabled the presentation of the real-life dynamics and its relation to the literature.

The central purpose of this study is to develop and test a model which examines the effects of customer verbal aggression on emotional dissonance, emotional exhaustion, and job outcomes such as service recovery performance, job satisfaction, and turnover intentions. The model also investigates the impact of emotional dissonance on emotional exhaustion and the effects of emotional dissonance and exhaustion on the above‐mentioned job outcomes.

Data were gathered from a sample of frontline hotel employees in Northern Cyprus via self‐administered questionnaires. A total number of 204 questionnaires were obtained.

As hypothesized, emotional dissonance and emotional exhaustion were found to be significant outcomes of customer verbal aggression. The results demonstrated that emotional dissonance amplified exhaustion. The results further revealed that customer verbal aggression and emotional dissonance intensified turnover intentions. As expected, emotional exhaustion reduced service recovery performance and job satisfaction and aggravated turnover intentions.

The cross‐sectional design of the study constrains the ability to make causal inferences. Therefore, future studies using longitudinal designs would be beneficial in establishing causal relationships. Although the paper controlled for common method bias via Harman's single‐factor test, future studies using multiple sources for data collection would minimize such a problem.

Hotel managers need to arrange training programmes to enable their employees to cope with the actions of boisterous and boorish customers. Having empowerment in the workplace seems to be an important weapon in managing such customers. In addition, managers should recruit and select the most suitable individuals for frontline service positions so that such employees can cope with difficulties associated with customer verbal aggression, emotional dissonance, and emotional exhaustion.

Empirical evidence pertaining to the consequences of customer verbal aggression in the hospitality management and marketing literatures is meagre. Thus the study partially fills this gap in the research stream of customer verbal aggression.

The aim of this work is to explore performance measurement practices in the context of an independent hotel in Northern Cyprus.

The study was conducted in a 392‐room five‐star resort hotel over a nine‐week period using multiple data collection methods comprising semi‐structured interviews, documentation collection and observation. In the context of the case hotel, three decision‐making groups – employees, managers, and regional executive – were involved in order that the performance measurement and the decision‐making mechanism could be described.

The findings indicated six main themes, which are grouped under business dynamics and overall performance, employee performance, customer satisfaction, financial performance, and innovative activities performance measures, so that understanding the type, the communication process and the purpose of utilising the performance measures is described and analysed.

This paper presents the results of performance measurement practice of an independent hotel setting, providing in‐depth information about the context of the business, the decision‐making process and the information flow. Also, the paper documents performance measurement practices in the hospitality management field, providing an insight into the kinds of measures used by decision‐makers of an independent hotel business in Northern Cyprus.

This study aims to identify key research clusters (or sub-fields) in the field of performance measurement research, analyse its historical development and propose future research avenues.

Several bibliometric analysis methods, including co-citation analysis and text mining techniques, were used to review papers published on performance measurement research.

This study reveals eight main clusters of research in this field, ranging from theoretical-focused clusters (e.g. strategic performance measurement) to practical-focused clusters (e.g. design of performance measurement). These clusters are further categorised into four groups based on the size and degree of connectedness. Regarding the analysis of historical development, the established clusters, such as supply chain management, remain important, while newer clusters, such as hospitality and humanitarianism, have recently gained increasing interest.

This study applies citation-based clustering, a type of bibliometric literature review method that has been underused in the field of performance measurement. Moreover, the results obtained from this study are also distinct from those of previous studies, offering valuable insights especially for researchers. With a comprehensive understanding of the field, researchers can use it to understand the key literature, observe ongoing developments within their specialisation and inform their future research directions.

The use of AI for operations management, with its ability to evolve solutions, handle uncertainty and perform optimisation continues to be a major field of research. The growing body of publications over the last two decades means that it can be difficult to keep track of what has been done previously, what has worked, and what really needs to be addressed. Hence, the purpose of this paper is to present a survey of the use of AI in operations management aimed at presenting the key research themes, trends and directions of research.

The paper builds upon our previous survey of this field which was carried out for the ten‐year period 1995‐2004. Like the previous survey, it uses Elsevier's Science Direct database as a source. The framework and methodology adopted for the survey is kept as similar as possible to enable continuity and comparison of trends. Thus, the application categories adopted are: design; scheduling; process planning and control; and quality, maintenance and fault diagnosis. Research on utilising neural networks, case‐based reasoning (CBR), fuzzy logic (FL), knowledge‐Based systems (KBS), data mining, and hybrid AI in the four application areas are identified.

The survey categorises over 1,400 papers, identifying the uses of AI in the four categories of operations management and concludes with an analysis of the trends, gaps and directions for future research. The findings include: the trends for design and scheduling show a dramatic increase in the use of genetic algorithms since 2003 that reflect recognition of their success in these areas; there is a significant decline in research on use of KBS, reflecting their transition into practice; there is an increasing trend in the use of FL in quality, maintenance and fault diagnosis; and there are surprising gaps in the use of CBR and hybrid methods in operations management that offer opportunities for future research.

This is the largest and most comprehensive study to classify research on the use of AI in operations management to date. The survey and trends identified provide a useful reference point and directions for future research.

The primary purpose of this research is to examine how total quality management (TQM) boosts corporate green growth (CGG) with the involvement of corporate social responsibility (CSR) and customer loyalty (CL) as mediators in the relationship between TQM and CGG for small- and medium-sized enterprises (SMEs) in an emerging economy.

This research adopts a quantitative approach. According to the scope of this study, constructs of TQM, CSR, CL and CGG and the conceptual relationships between them are established using a systematic literature review. This study uses enterprise-level primary data collected from a questionnaire-based survey. The respondents are those holding managerial positions in their enterprises. There were 424 valid responses obtained following the necessary screening steps to ensure the eligibility of the collected data for analysis using AMOS version 20.

This study reveals that TQM has a positive and significant relationship with CSR, CL and CGG. Amongst these direct connections, TQM has the most substantial influence on CGG, followed by CL and CSR. Furthermore, the findings assert that CSR positively and significantly affects CGG and CL. When comparing the weighting of these effects, the results show that the impact of CSR on CGG is stronger than that on CL. Furthermore, the results confirm that CSR and CL partially mediate the relationship between TQM and CGG, both independently and simultaneously. The article also discusses the theoretical and managerial implications based on the stated findings.

The originality of this study stems from its contribution to enriching the body of the current literature on TQM and its combined influence on corporate performance. In this respect, this study adds to the existing literature by providing additional empirical evidence on the mechanism by which TQM boosts CGG with the involvement of CSR and CL in mediating the stated relationship between TQM and CGG for SMEs in an emerging economy. To the best of the author’s knowledge, such holistic incorporation is rare in the current literature. Furthermore, this study sheds light on the TQM enabling factors that are extended beyond the quality or technical scope as previously assumed. The stated contributions deserve to be originally derived from the attempt of this scientific work that may be of interest to academics, professionals and business practitioners.

This paper aims to review the effect of using recycled aggregates (RA) on the properties of recycled aggregate concrete (RAC) following the steady rise in global demand for concrete and the large generation of construction and demolition waste.

This study reviewed relevant literature of research work carried out by previous researchers, leading to a deeper understanding of the properties of both RA and RAC. The properties of RA and RAC reported in the various studies were then compared to their corresponding natural aggregate (NA) and natural aggregate concrete, as well as the specifications provided in different codes of practice. In addition, the mix design methods appropriate to RAC and the cost implication of using RA were reviewed.

Findings show that the contribution of RA to strength appears inferior in comparison to NA. The shortcoming is attributed to the mortar attached to the RA, which raises its water absorption capacity and lowers its density relative to those of NA. However, it has been reported that the use of regulated quantity of RA, new mixing and proportioning methods, the addition of admixtures and strengthening materials such as steel fibres, can improve both mechanical and durability properties of RAC. Cost evaluation also showed that some savings can be realized by using RA instead of NA.

This research serves as a guide for future works and suggests that the use of RA as aggregate in new concrete is technically possible, depending on the mix design method adopted.

Owners, managers and employees may be criticized personally and professionally by consumers in online reviews, and may suffer emotional and burnout consequences. The purpose of this paper is to examine the impact of customer-generated negative online reviews on hospitality employees.

This research analyzed the effects of traditional face-to-face customer-related social stressors, as well as a newly added negative online review (NOR) stressor, on anger and burnout in a sample of 418 US hospitality workers.

Structural equation modeling revealed that, after taking into account the contribution of customer-related social stressors, receipt of NORs predicts anger and anger mediates the relationships between NOR-receipt and two indices of burnout.

This research extends our understanding of social stressors that apply to workers in the hospitality industry. It offers strategies for managing the threats and optimizing the opportunities, provided by negative online reviews.

This study is one of the first studies that provide evidence of the personal impact of NORs on hospitality industry employees, thereby extending our understanding of social stressors that apply to workers in this industry.