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Talent management can provide an organization with a competitive advantage. However, little is known about how human resource practices pertaining to talent management drive positive outcomes. Drawing on social exchange theory, this study investigates the effect of talent management practices usage on employee commitment and intention to leave. Integrating social exchange theory and the theory of met expectations facilitated predicting the mediating role of perceived career growth in the talent management practices usage-employee outcomes relationship.

Data were collected using a survey from 268 employees from eight organizations from the financial and services industries in Jordan.

Talent management practices usage has a significant direct positive effect on employee commitment but no direct effect on employees’ intention to leave. Further, there is pioneering evidence that perceived career growth mediates the following relationships: talent management practices usage and commitment and talent management practices usage and intention to leave.

The study provides unprecedented evidence of the effect of TM practices usage on employee outcomes and the role of perceived career growth in the TM practices usage-employee outcomes relationship from an underexplored context of Jordon. Our research results contribute to theory development in TM by supporting, extending and integrating social exchange theory and the theory of met expectations.

This study examines the effect of political connections on the performance of banks in the MENA region separately and then moderated by family, institutional and state ownership.

A hierarchical regression method was used for a sample of 111 banks operating in 10 MENA countries observed from 2009 to 2019.

The results indicate significant negative relationships between political connections and bank performance. Furthermore, institutional and family ownership moderates this relationship; institutional investors and family shareholders attenuate separately the negative impact of political connections on bank performance. Moreover, state ownership positively moderates this relationship; states as shareholders accentuate the negative relationship between political connections and bank performance. Splitting our sample according to bank-specific features (banks in authoritarian regimes versus hybrid regimes, Islamic banks versus conventional banks) confirms our findings. Our results are robust to an alternative measure of bank performance.

Banks operating in the MENA region have to be aware of the consequence of political connections. In addition, they have to take into account the role of ownership structure when they seek to attenuate the harmful effect of political connections.

This paper offers an in-depth understanding of the impact of political connections on bank performance by drawing from two institutional logics: resource dependence logic and agency logic. Some recommendations on the importance of changing the existing ownership structure are highlighted, encouraging some investors to take part in the capital of banks in this region.

The purpose of this paper is to provide an organizing lens for viewing the distinct contributions to knowledge production from those research communities addressing the impact of competitive strategy on company performance in general, and the influence of cost leadership and differentiation strategy on organizational performance in detail.

The research methodology was based on the PRISMA review, and thematic analysis based on an iterative process of open coding was analyzed and then the sample was analyzed by illustrating the research title, objectives, method, data analysis, sample size, variables and country.

The main factor that influenced the competitive strategy is strategic growth; strategic growth has a significant influence on competitive strategy. Furthermore, competitive strategy will boost firm network, performance measurement and organization behavior. In the same way, the internal goal factor will enhance organizational effectiveness. Also, a differentiation strategy will support management practice factors, strategic positions, product price, product characteristics and company performance.

This study contributes to the literature by identifying a framework of competitive strategy factors, company performance factors, cost leadership strategy factors, differentiation strategy factors and competitive strategy with global market factors. This study provides a complete picture and description of the resulting body knowledge in competitive strategy and organizational performance.

Medicine distribution logistics pattern in pharmaceutical supply chains is a hot topic, which aims to predict applicable and efficient medicine distribution patterns so that the medicine can be distributed effectively. This research aims to propose a new method, named density-distance method, that works based on Kth proximity using patient features (including age, gender, education, inherent diseases, systemic diseases and disorders); geographical features (city, state, population, density, land area) and supply chain features (destination and transportation system).

The proposed method of this research consists of two main phases where in the first phase, quantitative data analytics will be carried out to find out the significant factors and their impacts on medicine distribution. Then, in the next phase, a new Kth-proximity density-distance-based method is proposed to determine the best locations for the wholesalers while designing a supply chain.

The findings show that the proposed method can effectively design a supply chain network using realistic features. In addition, it is found that while the distance-density aggregate index is applied, the wholesalers' locations will be different compared to classic supply chain designs. The results show that age, public hygiene level and density are the most influential during designing new supply chains.

The outcomes of this research can be used in the medicine supply chains to predict appropriate medicine distribution logistics patterns.

In this research, the machine learning method based on the nearest neighbor has been used for the first time in the design of the supply chain network.

The Russian export flow is highly concentrated on few trading partners that results in its high vulnerability to external shock. Furthermore, the Russian–Ukraine conflict and corresponding western sanctions has enhanced the need of export markets diversification for Russia. Therefore, this study is a baseline attempt to explore determinants of export flow along with identifying potential export markets. This objective is realized by employing an augmented version of gravity model on export flow of Russian Federation to 108 trading partners from 2000 to 2020.

The augmented gravity model of export flow is estimated by using employing contemporary panel econometrics such as panel generalized ordinary least square estimation technique with cross-sectional weight along with heteroskedasticity consistent white coefficients is employed to explore impact of selected macroeconomic and policy variables. Furthermore, the sensitivity analysis is performed by using panel random effect along with the Driscoll–Kraay standard errors with pooled ordinary least squares (OLS) regression and random effect generalized least square (GLS) estimator techniques. The estimated result of panel GLS technique is subjected to in-sampled forecasting technique to explore potential export markets.

The findings show that an increase in the income of trading partners and enhancement of domestic production capacity has significant positive impact on Russian export flow, whereas geographic distance has a significant negative impact. Income of trading partners emerged as major determinant of export flow with high explanatory power. Among augmented variables, the real exchange rate reveals a significant positive impact of lower intensity, whereas binary variables for the common border, common history and preferential/free trade agreement show a significant positive impact. The finding of export potential reveals a high concentration of export with existence of large potential for exports across the globe. For instance, many developing countries in Asia, Africa and America reveal high potential for Russian exports.

The findings urge Russian Federation to diversify its export markets by targeting potential export markets. Many emerging developing countries are witnessing a high potential for Russian exports, therefore attempts should be taken to diversify toward them. The expansion of existing transportation facilities along with development of cargo trade can be important policy instrument to realize objective of export diversification.

This study is the first comprehensive analysis that employs augmented gravity model to explore potential export markets for Russian Federation by using panel data of 108 global trading partners from 2000 to 2020. This finding of this study provides a framework of export diversification toward potential markets across the globe.

The global financial crisis (GFC) has undermined the legitimacy of orthodox neo-classical economic assumptions, which nevertheless continue to frame the philosophical assumptions of teaching in business schools. The purpose of this paper is to make a case in favour of an expansion of the business school curriculum to incorporate behavioural economics. The paper will also contend that behavioural economics can be connected to social economics, as they are both heterodox in this study and analyse economic phenomenon outside of a neo-classical framework. The aim is to contribute to arguments for an expanded curriculum, beyond the framing assumptions of neo-classical rationalism. This paper will also support its case by reviewing behavioural economics to make the case that this literature can be connected to social economics. This assertion is based on shared connections, including the importance of Kantianism in behavioural economics and in social economics. These connections will be discussed as a common point of reference points, or ties that can serve to broker links between these two economic paradigms. Practical implications (if applicable) the GFC presents an opportunity to re-shape the business school curriculum to acknowledge the centrality of socio-economics and behavioural economics, and consequently to offer an alternative to the dominant ontological assumptions – taken from the economic understanding of rationality – that have previously underpinned business school pedagogy.

The paper presents an inter-disciplinary teaching case, which incorporates socio-economic and behavioural economics perspectives. The teaching case concerned a socio-economic understanding of corruption and white-collar crime. It was also inter-disciplinary to include inputs from business history and criminology. The teaching case developed an appreciation among students that corruption, white-collar crime and entrepreneurship can be analysed within a social economics and behavioural economics lens.

The teaching case example discussed an alternative socio-economic and behavioural economics understanding to core areas of the MBA curriculum with the potential to be included in other academic disciplines. This enabled students to apply a behavioural economic approach to white-collar crime. The findings derived from this case study are that behavioural economics has the potential to enhance the teaching of socio-economics.

The originality of this paper is to apply behavioural economics to a socio-economic teaching case, in core subject areas of the MBA curriculum.

The study will add to the current discourse on the Israel-Hamas conflict by examining the impact of the war on the stock markets of trading partners. Stock market returns inevitably rise as globalization keeps integrating financial markets and economies around the world. Thus, the impact of war is assessed across a range of indicators that are similar in some way, such as geographic location, political climate or economic standing. Thus, the goal of this study is to investigate how the Israel-Hamas war affects trading partner countries' stock performance.

Event study methodology is applied using Morgan Stanley Capital Index (MSCI) as a benchmark index. The influence of the Israel-Hamas war on the world's major stock markets is evaluated using a market model. The study takes into account Israel and its 23 trading partners. To capture the locational asymmetry in the outcome, the countries are further categorized according to their geographic locations. The official declaration of war came on October 7, 2023, a non-trading day. Consequently, October 9, 2023, is designated as the event day in this study. The data was gathered between January 1, 2023, and December 31, 2023, with an estimation period of 140 days taken into account to minimize bias.

Asymmetric response is shown among the nations due to their economic standing, geographic proximity and trading links with Israel. While Austria, Greece, Egypt, Palestine and Israel had the greatest negative effects, Argentina, Japan and Chile saw significant beneficial effects. The remaining nations had little effect. The market quickly adjusted itself, eliminating anomalous returns.

Taking into account the topic's criticality, the current work has certain limits. The study has used the daily data to limit its reach to the stock market exclusively. In the future, academics can combine high-frequency stock market data with data from other macroeconomic variables, such as currency or different commodities markets, to further their research. Furthermore, a cross-national comparison of the impact in terms of direction and intensity regarding developing global groups such as I2U2, LEVANT, BRICS, MIKTA, SCO, NATO, SAARC and OECD can provide a more comprehensive understanding in this context. To gain insight into the durability and adaptation of financial systems over time, longitudinal studies could be conducted to monitor the long-term effects of geopolitical crises on the stock markets of trading partner countries.

By better managing investment portfolios and evaluating potential risks associated with trading partners involved in such conflicts, investors and businesses can lessen the impact of geopolitical tensions on stock market performance. These results contribute to our understanding of how geopolitical conflicts affect stock markets.

This research provides an extensive analysis of the global impact of Israel-Hamas tensions on stock market volatility by taking into account trading partners. This allows for the investigation of how various market structures and economic systems react to geopolitical turmoil. The present study is one of the first attempts to look into how disturbances in one region might affect continents to better understand the dynamics of global trade and economic interdependencies.

This study aims to analyze how cultural variations impact the relationship between long-term debt use and managerial overconfidence. Investigate into how the relationship between growth prospects and the utilization of long-term debt is moderated by managerial overconfidence. In addition, the research explores the moderating effect of managerial overconfidence on cash flow levels.

The study used long-term debt as the dependent variable and used generalized method of moments–instrumental variables regression analysis to examine data from 356 firms across 11 Middle East and North Africa (MENA) countries and 5 industries between 2013 and 2021.

CEO overconfidence moderately boosts the link between long-term debt maturity and growth potential, particularly for firms with limited internal funding. Cultural factors, such as masculinity and uncertainty avoidance, play a significant role in moderating the relationship between managerial overconfidence and debt maturity choices.

To understand the impact of managerial overconfidence on a company’s debt maturity decision, it is essential for boards and shareholders to consider and monitor the CEO’s behavioral traits, particularly for growing companies. Regulators and policymakers must also be wary of the risk of internal control weakening due to overconfident managers, especially in MENA markets.

The authors’ contribution to the literature lies in exploring how managerial overconfidence moderates the agency conflict between shareholders and debtholders in MENA region firms, which has received minimal attention in previous studies. This study expands the knowledge of the impact of managerial overconfidence on emerging economies and provides evidence that national culture plays a vital role in determining debt financing decisions.

This paper aims to investigate whether managerial overconfidence has an impact on investment inefficiency beyond its influence on the use of internal financing or whether internal financing behaves as a full intermediary.

The study employed three dependent variables, namely business investment scale, overinvestment and underinvestment, and analyzed data from 282 firms across five different industries listed in 11 Middle East/North Africa (MENA) countries between 2013 and 2019 using regression analysis via least square dummy variable (LSDV).

The findings indicate that while internal financing can provide funding for investment opportunities and address capital shortages, it may also result in overinvestment, particularly in companies led by overconfident managers.

Stakeholders, including shareholders and board of directors, should pay attention to the chief executive officer (CEO)'s behavioral aspects such as overconfidence in decision-making while undertaking new investment projects. Additionally, regulators and policymakers in emerging markets like MENA should re-evaluate the corporate governance framework, devise a corporate governance index and promote boardroom gender diversity as it can significantly reduce risk.

This study adds to the limited research on the impact of managerial overconfidence on investment efficiency in the MENA region. By focusing on this region, which has unique economic, political and social characteristics, the study provides new insights into the role of behavioral biases in investment decision-making in emerging markets.

The purpose of this study is to assess the impact of the shadow economy on three sustainable development indicators while considering the moderating effect of the governance quality, and to highlight the non-linearity of the considered relationship.

A sample of 82 countries covering the period from 1996 to 2017. The dynamic first-differenced generalized method of moments (FD-GMM) panel threshold model is implemented to control for non-linearity.

The shadow economy hinders sustainable development in countries with low-governance quality, while the opposite result holds in countries with high-governance quality. The critical thresholds triggering the switch from one regime to another vary across the sustainable development indicators. Boosting growth requires enhancing the legal system and the economic dimension of governance, while promoting environmental quality requires the implementation and enforcement of specific environment-friendly regulations.

The study addresses non-linearity and the moderating effect of governance quality. The use of six governance indicators allows to gauge the ability of each governance dimension to curb the negative effects of the shadow economy. Considering the three objectives of sustainable development allows to identify specific policy recommendations for each of them.