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This paper aims to investigate the firm performance of micro, small and medium enterprises (MSMEs) by using artificial intelligence-based supply chain resilience strategies. A theoretical framework shows the relationship between artificial intelligence, supply chain resilience strategy and firm performance.

A questionnaire is developed to survey the MSMEs of India. A sample size of 307 is considered for the survey. The employees working in MSMEs are targeted responses. The conceptual model developed is tested empirically.

The study found that eight hypotheses were accepted and two were rejected. There are five mediating variables in the current study. Artificial intelligence, the independent variable, positively affects all five mediators. Then, according to the survey and analysis of the final 307 responses from MSMEs, the mediating variables significantly impact the dependent variable, firm performance.

This study is limited to emerging markets only. Also this study used only cross sectional data collection methods.

This study is essential for supply chain managers and top management willing to adopt the latest technology in their organisation or firmfor a better efficient supply chain process.

This study investigated artificial intelligence-based supply chain resilience for improving firm performance in emerging countries like India. This study tried to fill the research gap in artificial intelligence and supply chain resilience.

The workforce management model conceptualised for the effective management of the construction workforce was subjected to expert scrutiny to determine the suitability and applicability of the identified practices and their attributed variables to the construction industry. In achieving this, a Delphi approach was adopted using experts from construction organisations in South Africa. These experts comprised workforce management personnel and construction professionals in senior management positions. The data were analysed using appropriate statistical tools such as interquartile deviation, Kendell’s coefficient of concordance, and chi square to determine consensus among these experts. After a two-round Delphi, the seven constructs proposed in the conceptualised workforce management model were adjudged to be important and worthy of adoption by construction organisations seeking to improve workforce management in the current fourth industrial revolution era.

This chapter gives the conclusion of the book. The chapter draws from the discussion from previous chapters to make logical conclusions and recommendations. The chapter concludes that construction industries are failing to imbibe workforce management practices, resulting in high employee turnover, dissatisfaction among existing workers and ultimately, low productivity of workers and organisations. It was also noted that the fourth industrial revolution offers emerging technologies that, when adopted within construction organisations, can help improve how organisations deliver their projects and manage their workers. Therefore, implementing a construction workforce management model that recognises the impact of digital tools is crucial for organisations seeking to get the optimum productivity out of their workers. Thus, this book’s conceptualised construction workforce management model can be a valuable tool for construction organisations. Also, more credibility is given to the model’s structure by exploring the conceptualised model through experts’ opinions.

This study aims to gain new insight into how a set of maqasid-based consumption intelligence variables mediates exogenous variables (i.e. religiosity, Islamic university role and normative belief) and halal purchase intention as an endogenous variable.

The research model is empirically tested with a data set of 370 responses retrieved from the students of the millennial generation from the cross Islamic state university in Indonesia. Data were analysed with Partial Least Square Structural Equation Modelling (PLS-SEM). The sample size of this study is computed with preliminary power analysis.

The SEM finding revealed that two maqasid-based consumption intelligence variables had mediated the exogenous and endogenous variables, i.e. halal purchase intention. These variables mediating the exogenous and endogenous variables have explained 63.5 R² variances in halal purchase intention. Concerning individual impact size of cognition and motivation as a component of maqasid-based consumption intelligence has shown medium-level effect size (f²) in mediating the halal purchase intention. Interestingly, the exogenous variable does not directly affect halal purchase intention but must be mediated with maqasid-based consumption intelligence variables. However, before including variables of maqasid-based consumption intelligence, the R² was relatively small. It is just 30.4% in R² that explains the variance of halal purchase intention.

This study explores maqasid-based consumption intelligence as a relatively new model to explain the variable halal purchase intention. Therefore, it takes many types of exogenous variables to test how relevant maqasid-based consumption intelligence variables can define endogenous variables. Notwithstanding, this study does not do that because it only limits three exogenous variables (i.e. religiosity, Islamic university role and normative belief). Therefore, in further research, these limitations seem to be perfected by other scholars concerned about halal purchase intention.

The findings of this study allow Islamic universities to mainstream halal issues as a subject of learning, especially concerning consumption ethics. In addition, the empirical results of this study encourage the industry to pay attention to the essential components in determining the halal quality of the products offered because the millennial generation is now very aware of the importance of halal products.

This study contributes to the existing literature on halal purchase intention by testing maqasid-based consumption intelligence variables as mediators. Moreover, this is a pioneer study to consider and construct maqasid-based consumption intelligence as a model that explains halal purchase intention.

There is strong excitement during Ponzi schemes and financial bubble periods. This emotion causes investors to turn to “unknown and new investment instruments”. This study, the factors that made “unknown and new investment instruments” preferable to “known and experienced investment instruments” were investigated.

It was taken into account unconscious like phantasy, emotional like emotional intelligence, both affective and cognitive like financial literacy and subjective beliefs like trust and overconfidence. In addition, risk preferences were measured with four different risk variables. In this context, data were collected by online survey method between November 2020 and May 2021 with convenience sampling. First, the data were collected from 832 participants in the pilot study. Additional data were also collected using convenience sampling and online surveys, and a total of 1,692 participants were obtained. Data were analyzed using Statistical Package for the Social Sciences (SPSS) 25 and AMOS 24.

As a result of the analyses made, the variables that lead investors to choose “unknown and new investment instruments” were determined as risky investment intention, phantasy, risk taking/risk avoidance, confidence, risk tolerance and subjective financial literacy. Trust and risk perception have a very weak effect on preferences. However, no effect of emotional intelligence and objective financial literacy was detected. In addition, a moderately positive and significant relationship was found between objective and subjective financial literacy. Subjective financial literacy was found to have a strong and significant relationship with emotional intelligence, confidence, trust, risky investment intention and phantasy.

This study investigates the factors underlying individuals' investment preferences from a broad perspective. We think that this study is unique in this structure and wide variables. We believe that the findings obtained in this manner are unique to both academics and practitioners. We also believe that the findings of the study will make an important contribution to understanding participation behavior in various Ponzi schemes and financial bubbles.

Illicit trade is pervasive in many nations and may be influenced by the level of national IQ. The current interdisciplinary paper aims to study the association between national intelligence and illicit trade across nations.

The illicit trade index scores for 84 countries, developed by the Economics Intelligence Unit, are used to measure the dependent variable. The independent variable is national intelligence, while economic development, unemployment and Hofstede’s cultural dimensions are the control variables. Two-level hierarchical linear models (HLMs) are used to empirically test the above-mentioned association.

The empirical results suggest that the higher the degree of national intelligence, the lower is the degree of illicit trade across nations. In addition, economic development, unemployment and national culture play an important role in explaining cross-country differences in illicit trade.

Regulatory authorities should find the results of this cross-national research useful in evaluating the likelihood of illicit trade from a cognitive perspective, and in implementing reforms to curb this type of economic crimes.

This interdisciplinary study makes novel contributions to the literature on economic and financial crimes. First, for the first time to the best of the authors’ knowledge, an association between national intelligence and illicit trade is examined. A second original contribution of this study compared to earlier research is related to the use of two-level HLMs. Third, the investigation of the association between intelligence and illicit trade takes a new control variable into consideration, i.e. unemployment, a variable which is found to have a significant effect on illicit trade and that has not been used directly in relationship with illicit trade so far.

While the relationship between some leadership styles and emotional intelligence has been studied, leadership practices and emotional intelligence have not been studied for an understanding of how both variables enable a leader to look for pathways to goal attainment. This study aims to examine the impact of leadership practices on pathways to goal attainment while considering the mediating effect of emotional intelligence.

This study was empirical with an associative strategy. The type of study was explanatory, and latent variables design was followed. The sample consists of 496 Colombian managers, obtained through a non-probability sampling (purposive sample), who work in companies located in Bogota, Colombia. For measuring the variables, three instruments were used, Leadership Practices Inventory, Adult Dispositional Hope Scale and Wong and Law Emotional Intelligence Scale.

Results from this study suggest that the relationship between leadership practices (model the way, inspire a shared vision and enable others to act) and pathways to goal attainment is mediated by emotional intelligence. Also, leadership practices and emotional intelligence explained 45.60% of the variability of the pathways to goal attainment.

The effectiveness of leadership practices can be explained through the hope they have about the future by using emotional intelligence as an influencing strategy. This study aims to explain how emotional intelligence helps leaders to look for pathways to goal attainment.

This paper investigates the factors affecting individual dispositions toward intentions. Specifically, this study aims to investigate the effects of emotional intelligence, entrepreneurial motivation and creativity on the entrepreneurial intentions of university students in Jordan.

The data were gathered through self-administered questionnaires from a sample of 745 university students in Jordan. The hypotheses were tested using partial least squares (PLS) analysis.

The results indicate a robust relationship between entrepreneurial motivation and creativity and entrepreneurial intention. However, an insignificant relationship was found between emotional intelligence and entrepreneurial intention. The findings of this study reveal that both creativity and emotional intelligence exert a significant and positive indirect effect on entrepreneurial intentions through the mediation of entrepreneurial motivation.

This work suggests that university administrators should consider the significant roles that emotional intelligence, entrepreneurial motivation and creativity play in shaping the entrepreneurial intentions of university students.

While there is limited existing research on this matter within the Middle Eastern context, especially in Jordan, this study aims to address this gap in the Jordanian entrepreneurial literature. As the first of its kind conducted within Jordanian universities, this study contributes significantly to the understanding of entrepreneurial dynamics in the region. Using the Wong and Law Emotional Intelligence Scale, this study evaluates emotional intelligence in Jordan. The results contribute to social psychology literature and suggest actionable government measures, integrated into education systems, to encourage entrepreneurial paths for students and alleviate graduate unemployment.

This study aims at investigating how hybrid intelligence might enhance employee engagement in breakthrough innovation. Specifically, it empirically examines the mediating role of self-extinction and moderating role of social intelligence.

This study, using the lens of socio-technical system (STS) theory, collected data from 317 employees through cross-sectional survey. The hypotheses were tested using MPlus 8.3 by applying Structural Equation Modelling (SEM).

The results support the proposed model, suggesting that hybrid intelligence fosters employees' breakthrough innovation engagement and such a relationship is fully mediated by self-extinction. Besides, the findings provide support for the positive moderating impact of social intelligence on such indirect relationships in a way that high social intelligence will further strengthen the relationship.

As a pioneering contribution, the study uncovers the social mechanism that underlies hybrid intelligence–breakthrough innovation engagement relationship via self-extinction. The research suggests managers leveraging employees' social intelligence for playing a critical role in countering the negative impact of self-extinction by enhancing the employees' engagement in the breakthrough innovation process.

Following the theory of emotional events, this paper aims to use the bright triad and the dark tetrad as representations to investigate the role of positive and negative personality patterns in achieving positive and negative innovation. The study also examines the mediating role of emotional intelligence and abusive supervision and the interactive role of emotional exhaustion in understanding the relationship between positive and negative personality patterns and positive and negative innovation.

To test the hypotheses of the study model, a set of questionnaires was distributed to a sample of 500 medical officers working in different departments of public hospitals in southern Iraq. The data were analysed using the structured equation model.

The results of the current study confirm previous studies on emotional intelligence because the bright triad negatively associates with negative innovation and positively associates with positive innovation. Meanwhile, the dark tetrad positively associates with negative innovation through abusive supervision, and that emotional exhaustion reinforces the negative side and weakens the positive side of the relationships.

This study contributes to the literature by emphasising that the values represented by the bright triad have a strong readiness to show positive innovation and immunity to negative influence caused by abusive supervision. Meanwhile, the negative emotions of the dark tetrad pattern result in negative patterns because they correlate with negative innovation and the avoidance of positive behaviour, which is escalated by abusive supervision.