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Service failures usually occur in front of third-party customers. Third-party customers react emotionally and behaviorally to service failure and recovery efforts aimed at focal customers. However, there is a gap in the literature on how third-party customers react to a service failures incident and a recovery over another customer, depending on how socially close or distant they are from. This study investigates the effect of third-party customers' emotions on consumer forgiveness, negative word-of-mouth (WoM) and repatronage intentions in the service recovery process by comparing close and distant third-party customers.

This study utilizes a 2 (social distance to the focal customer: close, distant) × 2 (service recovery: yes, no) between-subjects design. The authors used a scenario-based experiment to test the proposed hypotheses. A total of 576 respondents were involved in the study.

The results from the authors' scenario-based experimental study show that positive and negative emotions felt by distant third-party customers are higher than those of close third-party customers. In addition, the effect of positive emotions on customer forgiveness is more substantial for distant third-party customers. Third, moderated-mediation analysis indicates that social distance has a moderator effect only on the relationship between positive emotions and customer forgiveness.

This study contributes to the service literature by comparing socially close and socially distant third-party customers' reactions to service failure and recovery attempts.

Changing the product characteristics and demand quantity resulting from the variability of the modern market leads to re-assigned tasks and changing the cycle time on the production line. Therefore, companies need re-balancing of their assembly line instead of balancing. The purpose of this paper is to propose an efficient algorithm approach for U-type assembly line re-balancing problem using stochastic task times.

In this paper, a genetic algorithm is proposed to solve approach for U-type assembly line re-balancing problem using stochastic task times.

The performance of the genetic algorithm is tested on a wide variety of data sets from literature. The task times are assumed normal distribution. The objective is to minimize total re-balancing cost, which consists of workstation cost, operating cost and task transposition cost. The test results show that proposed genetic algorithm approach for U-type assembly line re-balancing problem performs well in terms of minimizing total re-balancing cost.

Demand variation is considered for stochastic U-type re balancing problem. Demand change also affects cycle time of the line. Hence, the stochastic U-type re-balancing problem under four different cycle times are analyzed to present practical case.

As per the authors’ knowledge, it is the first time that genetic algorithm is applied to stochastic U-type re balancing problem. The large size data set is generated to analyze performance of genetic algorithm. The results of proposed algorithm are compared with ant colony optimization algorithm.

This study includes process planning of prismatic parts by means of an expert system. On the computer controlled machine tools, operation methods and mostly used process types in manufacture are drawn with solid modelling. Feature recognition process is achieved with the “B‐Rreb” modelling method to give vectorel direction knowledge and adjacent relationships of surface using the STEP standard interface program. Furthermore, operation type and sequence of operation are defined for the prismatic parts by using the databases achieved from the feature recognition module. This developed method was prepared on an IBM compatible PC by using C++ programming language for this purpose and is explained with a sample.

The metaverse offers great potential for creating a new educational environment with unique experiences. Currently, it has been integrated into many stages of education, including classroom study aids, clinical skill interaction and image training simulators, thanks to a new generation of Internet applications. This paper aims to provide a comprehensive systematic review using bibliometric analysis on the metaverse in health education and analyze the trends and patterns of research output within the field.

The paper conducts bibliometric analysis and follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to ensure a rigorous and transparent review process. Specifically, this article identifies research questions, develops a data-collection strategy and establishes a screening approach that includes determining relevant keywords and applying inclusion and exclusion criteria.

A bibliometric analysis is conducted comprising 231 studies from 145 scientific journals to assess the trends, patterns and collaboration networks in research on the use of metaverse technology in health education. This paper provides insights into the research themes, publication trends and countries leading in this field, which can guide future research in this field.

The use of metaverse technology in health education has gained momentum in recent years. Despite this interest, comprehensive studies to review and analyze the existing literature on this topic systematically are lacking. In response, this paper provides a systematic review that explores the potential role of the metaverse in health education. By considering the current research, key trends, research hotspots and opportunities for future investigations are identified. The findings not only shed light on the current state of research but also offer guidance for advancing this exciting field.

The current Industry 4.0 era is considered not only as a process that dominates technological developments but also as a process that influences the leadership styles. Management 4.0 is essential for businesses to find and apply the appropriate technologies in the age of Industry 4.0. The leadership styles that business managers will adopt in order to be successful in this process and to survive in an intensely competitive environment can play an important role. At this point, a significant problem arises: identifying leadership styles that will bring success. In this context, the primary purpose of this chapter is to explain the modern leadership styles that business managers can adopt or follow in the age of Industry 4.0. In line with this purpose, the chapter first describes the historical development of leadership, leadership theories and modern leadership styles, such as transactional, transformational, technological, strategic, visionary and agile leadership, and all these concepts are discussed based on the Industry 4.0 perspective.

In recent years, preparations for the transition from the Post-industrial society to Community 5.0 have been continuing at full speed. The change in this process necessitates changes in the roles and structure of the labour force in societies. While work and family living spaces of the individual change the dimensions of his/her interaction, they increase the importance of work–family life balance gradually. The basis of conflicts (imbalances) in roles in work and family life is based on three pillars: time, tension and behaviour. The conflicts in the work and family life spaces take place in two sub-dimensions, namely ‘work-family conflict’ which is directed from work to family and ‘family-work conflict’ which is directed from family to work. The conflict between work and family life leads to individual, organisational and familial consequences. Effective communication with the social support of the organisation and the members of family is of great importance for individuals not to experience a work–family conflict.

This study seeks the effect on static thrust, thrust specific energy consumption (TSEC) and exhaust emissions of euro diesel-hydrogen dual-fuel combustion in a small turbojet engine.

Experimental studies are performed in a JetCat P80-SE type small turbojet engine. Euro diesel and hydrogen is fed through two different inlets in a common rail distributing fuel to the nozzles. Euro diesel fuel is fed by a liquid fuel pump to the engine, while hydrogen is fed by a fuel-line with a pressure of 5 bars from a gas cylinder with a pressure of approximately 200 bars.

At different engine speeds, it is found that there is a decrease at the TSEC between a range of 1% and 4.8% by different hydrogen energy fractions (HEF).

The amount of hydrogen is adjusted corresponding to a range of 0–20% of the total heat energy of the euro diesel and hydrogen fuels. The small turbojet engine is operated between a range of 35,000 and 95,000 rpm engine speeds.

On the other hand, remarkable improvements in exhaust emissions (i.e. CO, CO₂, HC and NO_x) are observed with HEFs.

This is through providing improvements in performance and exhaust emissions using hydrogen as an alternative to conventional jet fuel in gas turbine engines.

Industry 4.0 and the new technological transformation process it represents pose major challenges for the world today. Now, a new period has been entered, which will affect every point of daily life, from production to trade, and from health to entertainment. In terms of its scope and complexity, this period is unlike any that humanity has experienced before. The concept of Industry 4.0 is an external reflection of the innovations and applications made and to be made not only in today but also in the production methods of the future. Because this change and development occurs as a result of a certain accumulation and continues to occur continuously, it is evident that strategy is of great importance in today’s constantly changing and developing world. It is of great importance for leaders to develop strategies for evaluating the opportunity areas emerging by anticipating change in the Industry 4.0 process and to carry organizations and society into the future. Strategic leaders can do this effectively. At this point, strategic leadership is an important issue. Based on this idea, in this study, the strategic leadership issue from Industry 4.0 perspective will be examined in a theoretical context.

As media texts, advertisements use representation practices to construct ideological meanings. This study traced the representation of the worker in advertisements with the help of content and thematic analysis. The study aimed to reveal the representation of the worker in the advertisements and to make the representations of the worker built through advertisements visible. The study was limited to ads that received an Effie Award in Turkey in 2020 and 2021. In the 2020 Effie Awards, 73 awards were given in 41 categories and in the 2021 Effie Awards, 68 awards were given in 42 categories. Content analysis was applied to 24 advertisements in 2020 and 31 advertisements in 2021. The quantitative data helped to determine the themes in the thematic analysis. Thematic analysis was carried out by regarding the worker as the (in)visible, the (un)voiced, and the bypassed. This study, which reveals that the worker is represented in advertisements through being invisible, unvoiced, and bypassed, claims that the labor of the worker in the production process is ignored through representation practices. In this context, it can be said that the worker is erased and omitted in TV ads on a symbolic level.

With the pandemic and digital developments, digital transformation has begun in Human Resources Management (HRM). Applications such as robotic applications, information technology, IIoT, Industry 4.0 have led to a decrease in the need for human resources (HR) and an increase in the need for skilled workers. Along with this need, new-collar, digital-collar, cyber-collar, and metal-collar employee types have been added to the distinction between blue-collar and white-collar. To adapt to Industry 4.0 and to survive the pandemic process, businesses have also met the digitalization process very quickly and almost unpreparedly. In this context, the HRM of the businesses has started to experience digital transformation. With the digitalization of HR processes, digital conflicts have also emerged. Conflict management problems arising from digital transformation and the pandemic process, health problems, and cyber-attacks due to remote working have become one of the most important problems of the digital age. In this chapter, the issue of digital conflicts in HRM is discussed. In this context, first of all, the concept of digital conflict is included. Then, Industry 4.0, information technology and HR, the impact of information systems on digitalization and HR, digital transformation in HRM, opportunities, and threats arising from digitalization, and HR conflict management problems in the COVID-19 pandemic, collar change of employees during the pandemic, possible problems that may arise after the pandemic, future predictions, and strategic principles are mentioned.