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This chapter aimed to uncover the gaps in the existing construction supply chain management (CSCM) models. Organisational culture and the fourth industrial revolution (4IR) components are the two gaps that were identified through reviewing existing CSCM models. The 4IR is driven by three components which are smart management, virtualisation and cyber-physical system. It was proposed in this chapter that the practice of CSCM should be in tandem with the components of 4IR. This chapter recommended that for the effective practice of the construction supply chain (CSC) in the 4IR era, construction stakeholders should adopt an innovative and collaborative organisational culture. The organisational culture adopted by a construction firm performs a crucial role in encouraging construction stakeholders in adopting 4IR components for CSCM. Each of the 4IR components is driven by technologies like autonomous robots, building information modelling (BIM), radio frequency identification (RFID), the internet of things (IoT) and others. Among all the technologies, it was discovered that RFID and BIM had gained prominence in most CSC literature. The chapter recommended that blockchain, digital twins and the cyber-physical system are the next trending technology for CSCM.

The purpose of this paper is to develop a multi-criterion group decision-making (MCGDM) method by combining the regret theory and the Choquet integral under 2-tuple linguistic environment and apply the proposed method to deal with the supplier selection problem.

When making a decision, the decision-maker is more willing to choose the alternative(s) which is preferred by the experts so as to avoid the regret. At the same time, the correlative relationships among the criterion set can be sufficiently described by the fuzzy measures, later the evaluations of a group of criteria can be aggregated by means of the Choquet integral. Hence, the authors cope with the MCGDM problems by combining the regret theory and the Choquet integral, where the fuzzy measures of criteria are partly known or completely unknown and the evaluations are expressed by 2-tuples. The vertical and the horizontal regret-rejoice functions are defined at first. Then, a model aiming to determine the missing fuzzy measures is constructed. Based on which, an MCGDM method is proposed. The proposed method is applied to tackle a practical decision-making problem to verify its feasibility and the effectiveness.

The vertical and the horizontal regret-rejoice functions are defined. The relationships of the fuzzy measures are expressed by the sets. A model is built for determining the fuzzy measures. Based on which, an MCGDM method is proposed. The results show that the proposed method can solve the MCGDM problems within the context of 2-tuple, where the decision-maker avoids the regret and the criteria are correlative.

The paper proposes an MCGDM method by combining the regret theory and the Choquet integral, which is suitable for dealing with a variety of decision-making problems.

From the perspective of top management heterogeneity, this paper aims to study the impact of the psychological traits of executive pay bandwagon on earnings management in the listed companies of China.

This paper applies the ratio of executive pay to the median pay level of executives in firms of similar size and industry, namely, the comparing coefficient, as an alternative variable of executive pay bandwagon, and earnings management as the behavior choice of executive pay bandwagon, to examine whether executives in the listed companies of China have comparing mentality, and whether the result is influenced by executive heterogeneity by using the multiple linear regression models.

The lower the executives’ compensation is than the median pay level of executives in firms of similar size and industry, the stronger the incentive the executives have to compare with others whose pay is higher, increasing the extent of earnings management in the future, and executives tend to use real activities manipulation rather than accrual-based earnings management to increase their performance-based compensation. As pay bandwagon is a kind of executives’ individual psychological reaction, in a large extent, its behavioral performance is likely to be affected by executive heterogeneity. Specifically, when the proportion of male executives, young executives or low educated executives is relatively high, or executives are located in remote cities, there will breed more earnings management behaviors induced by pay bandwagon. Further study shows that pay bandwagon is positively correlated with rigging compensation based on real earnings management and pay bandwagon also has significantly negative effects on the firms’ future value creation.

Pay bandwagon is an important inducement of executives’ earnings management, with implication that for executives with different characteristics, one should pay attention to the subjective psychological perception and expectation of their pay in the future studies related to executives’ compensation incentives.

This study introduces the research within sociology, psychology and experimental economics, and considers the executives’ subjective perception of their pay, to explore the internal mechanism that executives affect firm performance via a specific earnings management method and to implement self-interested behavior due to pay bandwagon. And this is the first study to select several typical executive individual characteristics to investigate the influence of executive heterogeneity on pay bandwagon and its economic consequences.

This paper, from a marketing and management perspective, aims to review the relevant literature germane to casino studies. The review discusses the major findings from previous studies, provides a critique and identifies research gaps for future studies. In particular, the research foci presented in this paper rest on the service profit chain (SPC) model. The review involves studies relating to the constructs of the chain model and comprises sections that are categorized based on the internal link between management and employees, interaction between casino service employees and customers and profitability link.

The approach used in the current study involves a systematic review of the relevant academic literature with a focus on SPC studies in the casino industry, along with critical evaluation and analysis to identify research gaps. Google Scholar, EBSCOHost, Science Direct, Emerald and other academic databases were used to search relevant studies relating to casino and gambling research streams.

The review identifies several research gaps on the basis of the SPC link. Specifically, internal service quality needs more attention from both the practice and research points of view. Casino employee research should be extended to include personal traits and characteristics that may contribute to employee performance and loyalty. In the interaction between casino service providers and gamblers, more studies should be undertaken on the efficiency and effectiveness of marketing initiatives and promotions. Externally, the paper points out that more appropriate measurement of customer loyalty and casino profitability should be explored.

This review provides references to focusing on key competitive advantages and presents guidelines on improving business growth and profitability for casino managers. The paper also identifies research areas that future studies should attend to.

The paper is the first thorough literature review of gaming research on marketing and management with a focus on the SPC model. This review represents a new era of gaming research, extending the problem gambling research focus into a broader scope embracing other disciplines.

This study attempts to demonstrate how a tourism attraction (i.e., museum) could establish its brand equity. It involves a case study on one of the most famous museums in Taiwan which involves an in-depth interview. The results show that the museum under investigation has established a clear brand identification and its brand communications but has a limited interpretation of its brand assets. Recommendations include strengthening its experiential propaganda, organizing large-scale intercity festivals, coordinating with other vendors to sell cultural products, increasing the number of professional exhibitions, and establishing a self-evaluation mechanism.

This research constructs the critical predictors of visitation that shall allow the practitioners to foresee the visitation in the years to come through secondary data. For this study, tourist arrival data associated with the most popular forest park (i.e., Xiton Forest Park) in Taiwan along with relevant socio-economic data are utilized. This research adopts a group of analytical procedures involving correlation analysis, regression, and curve estimation analyses. The results show that the number of holiday per month and the average monthly rainfall have positive and negative correlations, respectively, with the visitation. Meanwhile, average monthly temperature and monthly gross domestic product per capita show a positive correlation in all three analytical methods and therefore are regarded as the primary predictors of tourist arrival. Consequently, this study provides managerial implications to increase the tourist arrivals to the forest park.

Slot machines and other machine gaming generate between 65 percent and 90 percent of a US casino's revenue. This article aims to examine the motivations, behaviors, and preferences of slot machine customers, and to develop market segments.

The study's objectives include: understanding the demographic, gambling motivation, and gambling behavioral characteristics of slot machine players; identifying important reasons for choosing one slot machine game over another; examining player attitudes and behaviors pertaining to progressive machines; and investigating player desire for theme‐based games. This was accomplished through an online survey of slot machine players.

Profiles of slot machine players are developed and the slot players are segmented into four clusters that explain motivations and game preferences.

This article fills in some of the gaps in understanding the gambling behavior of slot players. This study can help gaming machine manufacturers design new products and features to serve existing machine gaming customers and to attract new customers. Casino and other gaming operators can use this information not only to select the right types of machines to provide on‐site, but also to develop advertising and promotions to attract and retain new and existing customers for slot machines and other types of gaming machines.

This is the first published study that segments slot machine players from a marketing perspective and identifies their preferences, behaviors, and demographic groupings.

The purpose of this paper is to increase wear resistance of aluminum.

The authors have studied the ways to improve the tribological performance of aluminum by assembling stearic acid on aluminum coated by sol-gel-derived TiO₂ film. The samples were characterized by infrared spectroscopy, contact angle measurements and a macro friction and wear tester.

Enhanced wear resistance was clearly obtained after functionalization of TiO₂ film on aluminum by stearic acid.

The relevant results might be helpful for guiding the surface modification of aluminum devices in industrial applications.

The purpose of the study is to identify how knowledge management processes impact innovation performance in the Jordanian medical sector (private hospitals) as well as identify how big data analytics moderates this performance.

Two hundred ninety-one questionnaires were analyzed for the purpose of this study. A structural equation model (SEM) was used to test convergence validity, discriminant validity and reliability. In order to analyze the data, bootstrapping was used.

The empirical results showed that all knowledge management processes are statistically significant in influencing innovation performance. Furthermore, big data analytics moderates the relationship between knowledge management processes and innovation performance.

The results of this cross-sectional study are limited to one country and one industry due to methodological limitations, and the results represent a snapshot at a particular point in time.

Jordan's medical leaders will benefit from this study, since it emphasizes the importance of knowledge management processes to enhance innovation performance, especially given the importance of big data analytics in the field, increasing innovation capabilities in the medical field, thereby increasing innovation levels.