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The purpose of this study is to investigate the behavior of individual employee's performance concerning their organizational citizenship and turnover intention in the higher education sector. This study attempts to examine the effects of two potential sequential mediators – job satisfaction and employee engagement – on employees' job embeddedness, organizational citizenship behavior, and turnover intention.

This study is based on a survey conducted among the employees of major universities in the Republic of Korea. A total of 213 valid responses are used to analyze the hypotheses.

The results suggest that the relationship between job embeddedness and organizational citizenship behavior is significantly mediated by job satisfaction. However, the mediating role of job satisfaction on the link between job embeddedness and employees' intention to leave is not significant. Relatedly, employee engagement has a significant mediating effect on job embeddedness and organizational citizenship behavior but no demonstrable mediating effect between job embeddedness and employees' turnover intentions.

The results provide guidance that can assist organizations in increasing their employees' organizational citizenship behavior and lowering their intentions to leave, particularly in the education sector.

This study contributes to existing knowledge regarding the roles that job satisfaction and employee engagement play as two potential sequential mediators in the relation between job embeddedness and organizational citizenship behavior.

The 17 Sustainable Development Goals (SDGs) of the United Nations (UN) gained attention, particularly SDG 4 which focuses on quality education. Tecnologico de Monterrey, popularly known as TEC, is one of the few elite private universities in Mexico that took significant steps to enhance the quality of education amidst the COVID-19 pandemic, in view of students’ career plans. In this empirical research, an online survey was employed to investigate the mediating role of peers’ feedback on team-based learning (TBL) and career planning skills among university students. The study included 86 students from bachelor’s and master’s programmes. IBM SPSS version 26 and PROCESS Macro v 3.5 were used for the quantitative data analysis. The results confirm that peers’ feedback partially mediates the relationship between TBL and the career planning skills of students. This study provides recommendations to university authorities to develop educational policies in-line with SDG 4, thoroughly revise course curricula of the degree programmes offered, and include online learning activities for solving problems in the current world scenario.

Higher education institutions (HEI) are acknowledged as a key driver for the development of sustainable societies, so much so that some profess education for sustainable development to be the most fundamental of the United Nation’s (UN) 17 sustainable development goals (SDGs). This chapter provides an overview of the chapters in the book: Higher Education for the SDGs, divided into two themes, namely (i) Research from the Global North and Global South and (ii) Rethinking curriculum.

Although total quality management (TQM) is an innovative management philosophy, how it connects innovative behaviour (INB) to innovation performance (INP) has gone unnoticed. Also, the external factors (technological turbulence [TUR], competitive intensity [CMP], market dynamism [MKD] and government regulation [GOV]) under which the INB–TQM connection may grow are yet to be understood. In spite of the various evolutions that have occurred in the banking industry, there remains a necessity to enhance the quality of service offered to clients. This paper aims to address these issues in the total quality management literature.

This study constructs and analyses a research framework by analysing the replies of 260 executives in senior and intermediate positions across 21 quality-certified universal banks in Ghana, using the Smart PLS methodology.

TQM played a partial mediating role between INB and INP (variance accounted for = 46.85%, p = 0.000). TUR (β = 0.023, p = 0.000), CMP (β = 0.043, p = 0.000), MKD (β = 0.056, p = 0.000) and GOV (β = 0.068, p = 0.000) positively and significantly moderated the INB–TQM connection.

Future research may examine the proposed framework in various environments and sectors.

Practical insights for industry players in the sector are discussed.

To the best of the authors’ knowledge, this study is the first to show how innovation serves both as an antecedent and consequence of TQM. It is also the first to explicate the boundary conditions under which the INB–TQM relationship may flourish.

The purpose of this study aims to examine the effect of fintech on pre- and post-financing credit risks faced by the Islamic banks.

This research uses primary data for fintech awareness and adoption and secondary data of various financial and economic variables from 2009 to 2021. It uses baseline regression to identify moderation of fintech controlling gross domestic products, size, return on assets and leverage. The findings are confirmed using robustness against key variable bias. It also uses a dynamic panel two-stage generalized method of moments for endogeneity.

The study finds that the fintech awareness and adoption are not the same across all Islamic countries. The Asia Pacific region is far ahead of the other two regions where Indonesia is ahead in terms of fintech awareness and adoption, and Malaysia is ahead in terms of reaping its benefits in credit risk management. Fintech affects prefinancing credit risk significantly more than postfinancing credit risk. Also, the study finds that Islamic banks suffer from the problem of “Adverse selection under Shariah compliance.”

This research invites regulators to introduce fintech in Islamic banks on war footing. Similar studies can be conducted on the role of other risks such as operational and market risks. Fintech will also help in improving the risk profile and stability of Islamic banks against systemic risks and financial crises.

This research has variety of originalities. First, it is the pioneering study that addresses the effect of fintech pre- and post-financing credit risks in Islamic banks. Second, it identifies “Adverse selection under Shariah compliance” for Islamic banks. Third, it helps identify how fintech can be useful in reducing credit risk that will help in reducing capital charge for regulatory capital.

The relationship between idiosyncratic risk and stock return has been debated for decades; this study reexamined this relationship in the Pakistani stock market by using the quantile regression approach along with the prospect theory.

The present study is quantitative, and secondary data obtained from an emerging market are used. The quantile regression method allows the estimates of idiosyncratic risk to vary across the entire distribution of stock returns, i.e. the dependent variable. In this study, the standard deviation of regression residuals from the Fama and French three-factor model was used to measure idiosyncratic risk. Convenience sampling is employed; the sample consists of 82 firms listed on the KSE-100 index, with 820 annual observations for the ten years from 2011 to 2020. After computing results by using quantile regression, the study's findings, ordinary least squares (OLS) and least sum of absolute deviation (LAD) regression techniques are also compared.

The quantile regression estimation results indicate that idiosyncratic risk is positively correlated with stock returns and that this relationship is contingent on whether prices are rising or falling. Consistent with the prospect theory, the finding suggests that stock investors tend to avoid risk when they anticipate a loss but are more willing to take risks when they anticipate a profit. The results of the OLS and LAD regressions indicate that the method typically employed in previous studies does not adequately describe the relationship between idiosyncratic risk and stock return at extreme points or across the entire distribution of stock return.

These empirical findings shed new light on the relationship between idiosyncratic risk and stock return in Pakistani stock market literature.

This study aims to examine the short- and long-term equilibrium relationship between All share price index (ASPI), macroeconomic variables and the economic crisis in Sri Lanka.

Monthly time series data for inflation (CPI), industrial production (IP), an exchange rate (EX), an interest rate (TB), short-term interest rate (CD) and economic crisis were used from 2010 to 2021. The ADF test, the bound testing approach, the CUSUM test and the CUSUMQ test were used in this study.

The findings show a long-run stable relationship between stock price, macroeconomic variables and political crisis (i.e., CPI, IP, ER, TB, CD and economic crisis). The results of the Johansen cointegration test suggest that there is at least one cointegrating equation, indicating that there is a long-run equilibrium relationship between macroeconomic variables and stock prices in Sri Lanka.

The vector error correction estimates show that the coefficient of the error correction term is significant with a negative sign, indicating that a long-run dynamic relationship exists between macroeconomic variables and stock prices. In the short term, economic crisis has had a big effect on stock prices suggesting that Sri Lanka’s domestic financial markets are linked to the stability of the country.

This research establishes the links between stock returns, macroeconomic variables and economic crisis. So far, research has been unable to establish the empirical nature of such links. The authors believe that this paper fills that gap.

The key purpose of this research paper was to identify the association between mass collaboration and knowledge management in the context of Jordanian companies. Apart from that, this study also aims to examine the moderating effect of trust and leadership on the association between mass collaboration and knowledge management.

In this study, the researcher has followed theprimary quantitative method. For data collection, the researcher has conducted a survey questionnaire, whereas the sample was based on 323 participants from the manufacturing sector of Jordan specifically for data analysis; the technique of structural equation modeling was implemented.

All the independent variables, including organizational structure, adoptedtechnologies in mass collaboration and collaborative learning techniques, have a significantimpact on knowledge management and leadership. Moreover, leadership was also found to be significantly moderating the association between adopted technologies in mass collaboration and knowledge management. Similarly, trust also significantly moderates the association of organizational structure and adopted technologies in mass collaboration significantly with knowledge management.

All study respondents were from Jordan, which might limit the generalizability of the findings. The researchers also invited for more researchers in the incorporation of the time sequence in the proposed causal relations and in the organization level through which mass collaboration and knowledge management.

This study promises to make a valuable contribution to the existing literature, as there was a lack of evidence in the previous studies regarding the impact of mass collaboration on knowledge management within the context of Jordan.