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Turkey has been an active member of the Bologna Process (BP) since 2001. This chapter focuses on the impact of the BP on higher education (HE) in Turkey by outlining the reforms that were carried out and the narratives surrounding the changes. The focus of the chapter will be on how the BP has been accommodated, negotiated debated or rejected in Turkey and the societal and political tensions surrounding the process. The chapter is based on the findings of semi-structured interviews conducted with the Bologna experts and the officials of universities in Turkey, who were responsible for the reforms between 2009 and 2016, as well as a review of updated data and the analysis of secondary literature and official texts, such as the National Reports of the BP and the relevant policy documents in Turkey. After a very intense reform process, the policy transfer in Turkey slowed down, and Turkey's discussions, specifically about the BP both at the policy and the university level, became close to non-existent. The chapter aims to analyse the reasons behind the loss of interest in the BP in Turkey by focusing on the critical voices and discussions surrounding the neoliberalisation of HE. The chapter will also refer to how Euroscepticism in Turkey impacted the reform process in HE.

This paper aims to provide a comprehensive understanding of factors that contribute to refugees’ exclusion from health-care services. More specifically, using institutional theory, this paper identifies regulative pillar-, normative pillar- and cultural/cognitive pillar-related challenges that result in refugees having limited or no access to health-care services.

The paper draws on both secondary research and empirical insights from two qualitative fieldwork studies totaling 37 semi-structured meso-level interviews, observations and focus groups in three Turkish cities (Izmir, Ankara and Edirne), as well as a total of 42 micro-level, semi-structured interviews with refugees and migrants in one large city (Izmir) in Turkey.

This study reveals that systematically stratified legal statuses result in different levels of access to public health-care services for migrants, asylum seekers or refugees based on their fragmented protection statuses. The findings suggest access to health-care is differentiated not only between local citizens and refugees but also among the refugees and migrants based on their legal status as shaped by their country of origin.

While the role of macro challenges such as laws and government regulations in shaping policies about refugees have been examined in other fields, the impact of such factors on refugee services and well-being has been largely ignored in service literature in general, as well as transformative service research literature in particular. This study is one of the first attempts by explicitly including macro-level factors to contribute to the discussion on the refugees’ access to public health-care services in a host country by relying on the institutional theory by providing a holistic understanding of cognitive, normative and regulative factors in understanding service exclusion problem.

In this chapter, the authors will examine turnover in Turkey. In the first section, the authors will briefly describe the legal, institutional, and cultural context with a particular emphasis on their implications for employment conditions and turnover in Turkey. In the second section, the authors will review the academic literature on turnover that originated from Turkey. The authors divide the reviewed studies into two groups: generalizability studies, which are primarily replications of the mainstream literature with no focus on any specific characteristics of Turkey, and contextual studies, which emphasized the role of the economic, legal, or cultural background in formulating or interpreting their research. In the final section, the authors will discuss the findings of the review vis-á-vis the mainstream literature as well as practical implications and conclude with potential future research directions in the Turkish context.

In recent years, determining the effective and suitable supplier in the supply chain management (SCM) has become a key strategic consideration to the success of any manufacturing organization in terms of business intelligence (BI), as many quantitative and qualitative critical factors are measured from big data. In today’s competitive business scenario, the main purpose of this study is to determine suitable and sustainable suppliers during supplier selection process is to reduce the risk of investment along with maximize overall value to the customer and develop closeness and long-term relationships between customers and suppliers to build a resilient SCM to mitigate uncertainty for automotive organizations.

As these types of decisions generally involve more than a few criteria and often necessary to compromise among possibly conflicting factors, the multiple-criteria decision-making becomes a useful approach to solve this kind of problem. Considering both tangible and intangible criteria, the aim of this paper is the presentation of a new integrated fuzzy analytic hierarchy process and fuzzy additive ratio assessment method with fuzzy entropy using linguistic values to solve the supplier selection problem to build the resilient SCM under uncertain data. Fuzzy entropy is used to obtain the entropy weights of the criteria.

Organizations gather massive amounts of information known as BD on the basis of historical records of uncertainties from several internal and external sources to manage uncertainty to improve the overall performance of organizations using BI strategy for analyzing and making effective decision to support the managements of automotive manufacturing organizations in an information system.

Although this study tries to represent a full analysis on suitable and resilient global supplier selection under various types of uncertainty, still there are some improvements that can be made in the future by developing a more refined and more sophisticated approach to further enhance the performance of the proposed scheme to calculate overall rating scores of the alternatives.

The novelty of this paper is to propose a framework of BI in SCM to determine a suitable and resilient global supplier where all the meaningful information, relevant knowledge and visualization retrieved by analyzing the huge and complex set of data or data streams, i.e. BD based on decision-making, to develop any manufacturing organizational performance worldwide.

Taking the deadliest mine accident in Turkey’s history as a case of corporate social irresponsibility (CSI), this study aims to examine the adequacy of Campbell’s (2007) model to explain firms’ CSI behaviour.

The authors applied a case study research method and collected secondary data in both English and Turkish from multiple sources between 2010 and 2017.

The authors found seven of the eight propositions in Campbell’s framework applicable. The only condition that did not fit the authors’ case was financial pressure. The authors concluded that top management’s greed and lack of conscience significantly contributed to their gross negligence of safety measures and employee welfare. Their exploitative human resource practices, supported by low employee voice culture, added to the vulnerability of the mining workers.

The authors depended on secondary data in developing and analysing the case. The authors had no primary data collected directly from the participants involved in the accident. Moreover, relying on a single case to challenge an established framework may not achieve the necessary rigour, although an in-depth case study is likely to produce a good story.

To prevent mining accidents from happening, Turkey needs to strengthen all three types of institutions (legal and regulative, normative and cultural-cognitive) related to mining safety. As coal mining is harmful to the environment and public health, regulators and policymakers need to consider their dependence on coal mining as a source of energy and actively seek to adopt other clean energy alternatives.

This study contributes to the under-researched field of CSI by applying a dual economic and institutional perspective and refining it with the authors’ data.

Emotions affect food intake and food choice. Therefore, this paper aims to investigate the relationship between sociodemographic factors, eating habits and anthropometric measurements and negative and positive emotional eating.

This cross-sectional study was conducted with 343 female college students 18–24 years of age. Data were collected using the Emotional Appetite Questionnaire (EMAQ). Anthropometric measurements were obtained (height, weight, triceps skinfold thickness, neck, mid-upper arm, waist and hip circumference). Sociodemographic factors and lifestyle and eating habits were questioned. Generalized linear models were used to identify each EMAQ score.

While high body mass index (BMI) was associated with high negative emotional eating scores, low BMI was related to high positive emotional/situation eating scores (p < 0.01). There was no relationship between waist circumferences (p = 0.09), triceps skinfold thickness (p = 0.09) and negative emotional eating. Participants consuming vegetables and fruit = 5 portions/day had higher negative emotional eating scores, regardless of BMI (p = 0.04). Smokers (p < 0.01) and participants doing regular physical activity (p = 0.02) had lower positive emotional eating scores.

Negative emotional eating was related to higher BMI but not adiposity. Active female participants were less likely to eat in response to positive emotions.

To the best of the authors’ knowledge, this is one of the first studies examining positive emotion scores from many aspects. The authors also investigated the association between emotional eating and anthropometric measurements by using different methods, including neck and mid-upper arm circumference and triceps skinfold thickness.

The personality of an individual plays a vital role in the way an individual perceives organizational politics and justice in the workplace. However, there is meager research on how an individual's personality affects the perceptions of organizational politics and justice. This study endeavors to fill this gap by analyzing the mediating role of organizational politics perceptions on the relationship between Big Five personality dimensions and organizational justice by controlling various demographic variables. The study also proposes a benchmarking model that the policymakers can use to create positive organizational justice perceptions.

In this cross-sectional research, the data were collected through a multi-stage random sampling technique from 493 faculty members working in four public universities of Punjab, India. Out of 493 employees, 76.9% of the employees were assistant professors, 12.0% were associate professors and 11.2% were assistant professors. 51.5% of the employees were female, and 48.5% of the employees were male. To test the proposed hypothesized relationships, a structural equation modeling technique was used.

Results of the structural equation modeling showed that openness to experience, conscientiousness and extraversion have a negative relationship with perceptions of organizational politics. However, their relationship with perceptions of organizational justice is positive. Neuroticism has a positive relationship with perceptions of organizational politics, whereas it has a negative relationship with perceptions of organizational justice. Results also showed that high perceptions of organizational politics have a negative effect on employee's perceptions regarding organizational justice. The mediation analysis results showed that perceptions of organizational politics mediate the relationship between an individual's personality and perceptions of organizational justice.

There is a scant amount of research available that considers Big Five personality dimensions and organizational politics as the antecedents of organizational justice. Hence, the current study tries to fill this research gap by proposing a research model on antecedents and consequences of perceptions of organizational politics based on the cognitive-affective processing system (CAPS).

The purpose of this paper is to examine the influence of one personal variable (locus of control) and two relationship variables (leader-member exchange and co-worker cooperation) on perceptions of organizational politics in Lebanese small and medium-sized enterprises (SMEs).

Survey data was collected from 300 Lebanese employees from different SMEs located between Tripoli and Beirut.

Results of regression analysis indicated that all the three variables were significant predictors of perceptions of politics, and that perceptions of politics affected employee outcomes. More specifically, higher levels of politics are associated with higher turnover intention and lower job satisfaction.

Results of this study raise several implications for companies and employers. Perceptions of politics were found to have a negative impact on employee attitudinal and behavioral outcomes. Therefore, employers must examine the factors that affect employee perceptions of politics in the workplace. Since leader-member exchange and co-worker cooperation were found to predict politics, management's efforts should focalize on improving the relationships between employees and their supervisor as well as their relationships with each other. Management should develop strategies to create an atmosphere of cooperation and support in the organization.

There is paucity of studies on organizational politics in Arabic cultures. This study extends the organizational politics literature by investigating antecedents and outcomes of politics in Lebanon, a country that differs in its culture from US and European contexts.

This study examines the relevance of information and communication technologies in the effect of gender economic inclusion on environmental sustainability.

The focus is on a panel of 42 sub-Saharan African countries over the period 2005–2020. The empirical evidence is based on generalized method of moments. The environmental sustainability indicator used is CO2 emissions per capita. Three indicators of women’s economic inclusion are considered: female labour force participation, female employment and female unemployment. The chosen ICT indicators are mobile phone penetration, Internet penetration and fixed broadband subscriptions.

The results show that: (1) fixed broadband subscriptions represent the most relevant ICT moderator of gender economic inclusion for an effect on CO2 emissions; (2) negative net effects are apparent for the most part with fixed broadband subscriptions (3) both positive ICT thresholds (i.e., critical levels for complementary policies) and negative ICT thresholds (i.e., minimum ICT levels for negative net effects) are provided; (4) ICT synergy effects are apparent for female unemployment, but not for female employment. In general, the joint effect of ICTs or their synergies and economic inclusion should be a concern for policymakers in order to better ensure sustainable development. Moreover, the relevant ICT policy thresholds and mobile phone threshold for complementary policy are essential in promoting a green economy.

The study complements the extant literature by assessing linkages between information technology, gender economic inclusion and environmental sustainability.