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This study investigates the relationship between corporate social responsibility (CSR) and financial performance of the banking sector from the prospective of emerging countries.

This study obtained balance sheet and income statement data for 173 banks in 20 emerging countries from the Bankscope database from 2005–2018. The CSR-related data were taken from the Thomson Reuters ASSET4 database. Moreover, macroeconomic controls such as GDP per capita, inflation, and financial development are attained from the GFDD. The series of institutional quality indices (Political Stability, Rule of Law, Control of Corruption, Government Effectiveness, and Regulatory Quality) is obtained from the WGI. At the same time, national culture and bank regulation are attained from Hofstede Insights and Barth et al. (2013). We used the panel fixed-effects model in our baseline estimations, while 2SLS and GMM were applied to control for endogeneity.

The finding shows that CSR activities significantly improve bank performance, but the effect varies across the bank. Only environmentally friendly activities have shown a significant positive relationship with banking performance for CSR dimensions. However, the social and government dimensions did not significantly affect bank performance. Moreover, a sound institutional and regulatory environment and national norms play an important role in the nexus of CSR activities and bank performance.

This study provides empirical evidence that sheds light on CSR and bank performance in an emerging market context.

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.

Drawing upon the social network theory (SNT), the aim of this study is to examine the impact of value co-creation (VCC) on retailer loyalty (RL) and omni-channel shopping frequency (OCF) from the consumer perspective.

Grounded on SNT, the research focuses on VCC in omni-channel retailing. A paper-based questionnaire was used to examine the role of VCC on OCF and RL, and hypotheses were tested using structural equation modeling (SEM).

The findings supported the impact of VCC on RL, and in turn, the impact of RL on OCF. However, the results of the analysis reveal that RL has no mediator role between VCC and OCF.

The study shows the increasing role of VCC on RL, and the important role of RL on OCF. The findings reveal that RL has a significant role for VCC and OCF separately but does not have a mediator role between VCC and OCF. Moreover, the study extends the knowledge on VCC in omni-channel retailing.

The new research model, which was hypothesized from SNT, was validated. In the omni-channel retailing context, the study revealed the consumer perspective on VCC, and also the linkages between VCC, RL and OCF.

The emerging economies of Asia have made remarkable economic progress over the past few decades, primarily driven by rapid structural transformation towards industrialization and manufacturing in particular. The share of informal manufacturing sector value added to GDP and of employment in the informal sector in total employment has increased considerably in these countries. Although this shift from agricultural to industrial/manufacturing may be seen as positive for the goals of poverty reduction, increased standard of living, formation of human capital, etc., its impact on the environment is often not free from contention. The aim of the paper is to examine the impact of informal manufacturing sector growth on environmental degradation in emerging Asian economies. Here, we have used CO₂ emissions as an indicator of environmental degradation. The impact of other exogenous variables, such as population growth, energy consumption, trade openness and foreign direct investment, has also been studied. We have employed the fixed effect model and the random effect model on the data spanning from 2000 to 2022. We have also used the Hausman test to check the suitability of the models. The results of the analysis indicate the presence of a U-shaped relationship between CO₂ emissions and informal manufacturing growth, thus refuting the validity of the Environmental Kuznets Curve hypothesis.

There is an extensive body of contemporary educational literature concerning teachers' professional development (PD), but little attention has been paid to the PD of principals, despite their vital role in improving student learning outcomes. The available literature on principals' PD deals with content and quality while mostly ignoring whether and how PD activities have an impact on leadership practices. In our study, we wanted to examine the extent to which principals perform learning-centred leadership practices and whether and how their practices are influenced by the PD programmes they have engaged in during the past twelve months.

A total of 130 Turkish principals participated in the study. Using the SEM model, we examined the direct and indirect links between principals' PD and their self-perceived learning-centred leadership practices, with self-efficacy as the mediating variable.

We found a positive, statistically significant yet weak relationship between principals' PD and their leadership practices, with self-efficacy playing a considerable mediating role.

We argue that traditional types of PD activities can contribute to the leadership practices of principals, at least in countries where school principals are not adequately prepared for principalship positions. We suggest that such activities can contribute by providing newly appointed school principals with certain basic knowledge regarding effective leadership that many principals in developing countries are missing due to the lack of pre-service training. These activities can also strengthen principals' belief in their ability to overcome school problems and improve student learning. This, in turn, could motivate them to focus more on learning-centred leadership practices.

The motivation for this paper stems from the 2001 financial crisis which emerged in the banking industry and spread over the other industries, creating a domino effect. The purpose of this paper is to examine the market efficiency of Istanbul Stock Exchange (ISE) listed non-financial firms from 2000 through 2002.

A four-stage data envelope analysis (DEA) is developed to measure the performance of firms before and after the 2001 financial crisis. At each stage, production, profitability, marketability and overall efficiencies are measured. Further, Malmquist Productivity Index is applied to compare total factor productivity over time.

The findings show that firms are more efficient at the profitability stage than at other stages. However, the 2001 financial crisis eroded profitability efficiency. Overall, ISE-listed firms experienced diseconomies of scale so that many firms were not able to transform production into sales and therefore earnings efficiently, particularly during the crisis period.

The sample is limited to manufacturing companies. All financial firms are excluded from the sample.

This paper extends the three-stage market value efficiency process outlined in Zhu (2000) by adding production stage. It proposes four-stage DEA approach to measure production, profitability, marketability and overall efficiency of ISE-listed firms. To the best of authors’ knowledge, there has been no study using four-stage DEA approach for Turkish firms.

In the automotive industry, the high process complexity becomes an important issue because of the increased number of product and process variants demanded by the customers. To avoid quality defects in assembly and losses in such a complex manufacturing environment, new predictive support systems are required. This study aims to develop a multiple attribute decision support system (DSS) for the prediction and quantification of the risk of failures on the workstations of a leading Turkish automotive manufacturing company.

Initially, the factors affecting the failures in workstations and the attributes to evaluate the factors are identified. Subsequently, the relations among the attributes are specified and priorities of them are calculated. Finally, the risk of failures is calculated and tested in a pilot study and validated with real production data.

To the best of authors’ knowledge, this is a unique study that computes the risk scores on the workstations via DSS. The DSS has various advantages for improvements of the manufacturing quality: the risk of failures can be detectable and comparable, the effect of changes in the design of new workstations can be observed. Stations that have medium or high complexity scores demonstrated strong correlation with failure rates. A sensitivity analysis is conducted to predict the effect of improvement actions on the riskiness of the workstations.

High level of production complexity becomes a crucial issue for companies that use various production processes. Considering this fact, it is a requirement for companies to observe and monitor the risk factors, especially in the assembly lines to be able to eliminate failures derived from complexity. Accordingly, to measure risk scores of the workstations in the assembly lines, a decision support for companies aids executives to manage the complexity level in a reliable and effective way. In this study, the authors develop such a DSS for TOFAS, a leading Turkish automotive company. The proposed DSS is verified and applied through a pilot study on a specific basic production unit. A sensitivity analysis is also conducted to see the effects of potential improvements on the risk scores. Additionally, the trend of risk scores for the stations can also give valuable information for tracing the changes in the time horizon. The proposed DSS also enables an opportunity for the executives in their decision of design processes of new production lines by allocating limited resources in an appropriate way based on the risk scores of possible workstations. The proposed DSS is the first and unique proactive failure prevention model developed in a Fiat Chrysler Automobiles (FCA) plant across the world. TOFAS executives also plan to introduce and enlarge the usage of the model to other FCA plants. It may also be possible to apply the model to other assembly lines in any sector. Another plan of the executives of TOFAS is developing a software, which manages each parameter, to constitute data to the DSS to run this system more instantly and effectively. Moreover, they can take integration actions of the software with world-class manufacturing problem management system that is currently in use in TOFAS.

The purpose of this study is to examine the association between inward foreign direct investment (FDI) and bank level productivity changes.

The paper uses an international sample of 566 publicly quoted commercial banks operating in 75 countries, covering the period 2000‐2004. The empirical analysis is conducted in two stages. First, a non‐parametric Malmquist analysis is employed to decompose total factor productivity (TFP) change of banks into pure efficiency, scale efficiency and technological change. Then, panel regressions are performed to identify the productivity impact of FDI while controlling for relevant bank‐specific and country‐specific characteristics.

The results indicate that inward FDI has a negative short‐term level effect but a positive long‐term rate effect on TFP change, which is consistent with the evidence from the Malmquist analysis suggesting that banks experience episodes of technical regress and progress.

The paper explores for the first time the link between FDI and bank level total factor productivity, hypothesising that aggregate FDI inflows yield productivity changes in the banking sector as part of the overall environmental effect on the economy, and providing supportive cross‐country evidence.

This research investigates the threshold effects of the interplay between finance, development and carbon emissions across 97 countries, including 50 low-income and 47 high-income countries, during the period from 1991 to 2019.

Employing various econometric modeling techniques such as dynamic linear regression, dynamic panel threshold regression and in/out of sample splitting, this study analyzes the data obtained from the World Bank's world development indicators.

The results indicate that low-income countries require a minimum financial development threshold of 0.354 to effectively reduce carbon emissions. Conversely, high-income countries require a higher financial development threshold of 0.662 to mitigate finance-induced carbon emissions. These findings validate the presence of a finance-led Environmental Kuznet Curve (EKC). Furthermore, the study highlights those high-income countries exhibit greater environmental concern compared to their low-income counterparts. Additionally, a minimum GDP per capita of US$ 10,067 is necessary to facilitate economic development and subsequently reduce carbon emissions. Once GDP per capita surpasses this threshold, a rise in economic development by a certain percentage could lead to a 0.96% reduction in carbon emissions across all income levels.

This study provides a novel contribution by estimating practical financial and economic thresholds essential for reducing carbon emissions within countries at varying levels of development.

Like other European countries, Germany is facing regional physician shortages, which have several consequences on patient care. This study analyzes how hospitals perceive physician shortages and which strategies they adopt to address them. As a theoretical framework, the resource dependency theory is chosen.

The authors conducted 20 semi-structured expert interviews with human resource officers, human resource directors, and executive directors from hospitals in the northwest of Germany. Hospitals of different ownership types, of varying sizes and from rural and urban locations were included in the sample. The interviews were analyzed by using qualitative content analysis.

The interviewees reported that human resource departments in hospitals expand their recruiting activities and no longer rely on one single recruiting instrument. In addition, they try to adapt their retaining measures to physicians' needs and offer a broad range of employment benefits (e.g. childcare) to increase attractiveness. The study also reveals that interviewees from small and rural hospitals report more difficulties with attracting new staff and therefore focus on recruiting physicians from abroad.

Since the staffing situation in German hospitals will not change in the short term, the study provides suggestions for hospital managers and health policy decision-makers in dealing with physician shortages.

This study uses the resource dependency theory to explain hospitals' strategies for dealing with healthcare staff shortages for the first time.