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This chapter examines the dynamic linkages between the returns of Bitcoin, gold, and oil by using daily closing price data between July 17, 2010 and January 8, 2021. This study applies the diagonal BEKK–GARCH model for the purpose of analyzing a volatility spillover of variables in positive or negative ways. The empirical results show that the lagged returns inversely affect their current returns in oil. Based on the return spillovers between Bitcoin and gold, the empirical results indicate a unidirectional return spillover from Bitcoin to gold. Moreover, the authors found a unidirectional return transmission is observed from oil to Bitcoin, implying that oil returns are useful in forecasting Bitcoin returns. These findings are not only valuable for understanding of the interrelationships between the returns of Bitcoin, gold, and oil, but they are also of great interest to portfolio managers, investors, and investment funds that are actively dealing in Bitcoin, gold, and oil.

Introduction – Female employment and policies are an important aspect of growth and development. Inadequate utilisation of female labour force within the national economy reflects in economic and social indicators especially in developing countries. Women’s self-development, active participation in labour markets, and social and economic opportunities are the main factors in the development of countries. This study attempts to research the effects of female work force participation in the member countries of the Organisation of Islamic Cooperation (OIC) on economic growth in time period between 2004 and 2016. The countries were selected among the countries that have high and middle human development index according to Human Development Report in 2017.

Purpose – In this chapter, it is aimed to support the employment of female labour force and to show its share in development and growth in the member countries of the OIC. The aspect differs from similar studies to address the issue in term of Islamic countries.

Methodology – While analysing the impact of female employment on growth, the panel data analysis method and fixed and random effect model were used.

Findings – It has been found that female employment has a positive impact on economic growth for the selected OIC countries.

The purpose of this study was to determine the effect of consumer-based brand authenticity (CBBA) on customer satisfaction (CS) and brand loyalty (BL). The moderating effect of the variable “alternative attractiveness” in the relationship between CS and BL was further investigated. The study compared and analyzed the difference between global sportswear brands and domestic ones and the difference between global chocolate brands and domestic ones in terms of CBBA, CS, BL and attractiveness of alternatives (AA).

Structural equation modeling and multigroup analysis were conducted in order to analyze the data collected from 600 consumers via face-to-face survey.

The results showed that quality commitment and heritage-sincerity, which are subdimensions of CBBA, had a significant positive effect on CS. Additionally, both of them affected CS differently in the comparison of the global brands with the domestic ones. Furthermore, CS had a significant positive effect on BL, and AA had a negative effect on BL.

This study deepens the insights into the effects of antecedents of CBBA on CS and BL, enhancing the research with quantitative analysis through two different product groups. The study provides important cues on which antecedents of CBBA help to strengthen the authenticity of brands of Turkish and global origin, and also differs in that it examines to what extent the effect of CBBA on CS and BL varies across global and domestic brands.

The purpose of this study is to investigate if a supportive psychological climate specifically aimed at older workers (i.e. employee perceptions that the organization supports and activates older workers) will result in higher levels of older workers' vitality and dedication mediated through increased levels of older workers' perceived organizational support (POS).

The authors conducted a two-wave survey study among 209 older university employees (aged above 45 years) using structural equation modeling.

The results revealed that a change in supportive psychological climate is positively associated with a change in vitality and dedication, which was mediated by a change in POS.

Since workforces are aging around the world, one of the most pressing challenges for human resource managers is to find effective strategies to encourage older workers to remain engaged and active members of the workforce for as long as possible. In this study, the authors demonstrate that a supportive psychological climate for older workers is particular important in this regard.

The main contribution of this study is that it identifies the important role of a supportive psychological climate for older workers in predicting older workers engagement i.e. vitality and dedication, while also shedding light on the underlying mechanisms involved.

This study aims to discover the general trends, the structural characteristics of the knowledge base, and developments in the field of internationalization of higher education (IHE) in Turkey. In this respect, the studies published in journals indexed by SSCI, SCI-Expanded, ESCI, and AHCI in Web of Science (WoS) between January 1, 1975, and November 20, 2021, were analyzed. The dataset included 260 articles. We administered descriptive analysis reflecting the topographical features and the dynamics of the related literature through Excel and the WoS analysis tools. We conducted bibliometric analyses to shed light on the current view of the literature and reveal the intellectual structure of the knowledge base and topical foci. The volume of the research in the field of IHE in Turkey and their yearly distribution suggests that this area of research is still in its infancy; however, there has been a rapid growth in the number of publications recently. Author co-citation analysis reveals four distinct schools of thought labeled as “Higher Education Policy Studies in EU,” “Global Socio-politics and Economics of IHE,” “Socio-cultural and Psychological Dimensions of Internationalization” and “Language Studies.” Finally, topical foci in the knowledge base emerged as “International Student Mobility,” “Psychological and Cultural Adaptation of International Students,” “Higher Education Policy Reforms,” “International Staff Mobility” and “Migration Related Issues.” The results are discussed with related review studies and suggestions for future research are provided.

Green supplier selection is one of the crucial activities in green supply chain management. However, limited studies have addressed the vagueness and complexities during the selection process, particularly in multi-criterion decision-making (MCDM) circumstances. Hence, the purpose of this paper is to develop a group decision model using a modified fuzzy MCDM approach for green supplier selection under a complex situation.

The proposed study develops a framework for sorting decisions in green supplier selection by using the hesitant fuzzy qualitative flexible multiple attributes method (QUALIFLEX). The synthetic consistent or inconsistent indexes were used to calculate all alternative suppliers by normalizing the hesitant fuzzy decision matrix.

The proposed framework has been successfully applied and illustrated in the case example of CB02 contract section in Hong Kong–Zhuhai–Macau Bridge project. The results show various complicated decision-making scenarios can be addressed through the proposed approach. The synthetic (in)consistent indexes are able to calculate all alternative suppliers by normalizing the hesitant fuzzy decision matrix.

The research contributes to improving accuracy and reliability decision-making processes for green supplier selection, especially under vagueness and complex situations in megaprojects.

Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes and relies on the analysis of uncertain, imprecise and incomplete information, including subjective and linguistically expressed information. Various modelling and computing techniques have been used by construction researchers and applied to practical construction problems in order to overcome these challenges, including fuzzy hybrid techniques. Fuzzy hybrid techniques combine the human-like reasoning capabilities of fuzzy logic with the capabilities of other techniques, such as optimization, machine learning, multi-criteria decision-making (MCDM) and simulation, to capitalise on their strengths and overcome their limitations. Based on a review of construction literature, this chapter identifies the most common types of fuzzy hybrid techniques applied to construction problems and reviews selected papers in each category of fuzzy hybrid technique to illustrate their capabilities for addressing construction challenges. Finally, this chapter discusses areas for future development of fuzzy hybrid techniques that will increase their capabilities for solving construction-related problems. The contributions of this chapter are threefold: (1) the limitations of some standard techniques for solving construction problems are discussed, as are the ways that fuzzy methods have been hybridized with these techniques in order to address their limitations; (2) a review of existing applications of fuzzy hybrid techniques in construction is provided in order to illustrate the capabilities of these techniques for solving a variety of construction problems and (3) potential improvements in each category of fuzzy hybrid technique in construction are provided, as areas for future research.