Tahira Iram

The role of emotional intelligence (EI) in shaping the behavioural biases of women in financial decision-making remains underexplored in the literature. The current study addressed this gap by investigating how women entrepreneurs’ financial literacy influences their financial decisions, with EI serving as a mediator. A cross-sectional descriptive survey design was employed for data collection from 210 Pakistani women entrepreneurs. A proportional stratified sampling technique was used to collect data, and analysis was conducted using structural equation modelling (SEM) via AMOS 26. Findings reveal that financial literacy has significant positive impacts on EI and self-control and helps reduce loss aversion bias, but no significant relationship was found between financial literacy and regret aversion or mental accounting. Moreover, EI acts as a strong mediator between financial literacy and biases such as mental accounting, regret aversion and loss aversion, but not between financial literacy and self-control. This study’s findings underscore the critical role of EI in reducing biases and complementing financial literacy to empower women entrepreneurs to make rational financial decisions. Moreover, it also emphasizes the need to integrate EI into financial literacy programmes to foster more effective decision-making and advance entrepreneurship among women.

Green creativity is a key outcome of green HR management (G-HRM), fostering green work engagement and green service innovation in both service and manufacturing sectors. However, its implications in women-intensive industries in emerging markets remain unexplored. This study theorizes a unique blend of social exchange, job demand resources and ability motivation theories to examine the serial mediation of green work engagement and green service innovation between G-HRM and green creativity in women intrapreneurs. It also explores the moderating role of spiritual leadership in this relationship. Using SEM through SMART-PLS modelling, we analysed the sample of 250 women intrapreneurs from the five largest metropolitan cities in Punjab province. The results confirmed that green work engagement and green service innovation mediate the relationship between G-HRM and green creativity among women intrapreneurs, although the direct relationship was insignificant. Additionally, spiritual leadership significantly moderated the effect of G-HRM on green work engagement, enhancing the impact with greater support. These findings are particularly relevant for women-intensive industries, which comprise 20% of the workforce in Pakistan, and highlight the importance of fostering female employees’ creative potential at the intersection of employers and customers.

This study examines the influence of age on the investment decisions of women entrepreneurs, particularly in contexts where societal norms assign them primary responsibility for household responsibilities. The objective is to clarify the moderating role of age in the relationship between investment decision-making and behavioral biases. Data were collected from 260 women entrepreneurs operating small and medium-scale enterprises in Punjab, Pakistan, using a stratified sampling approach. Partial Least Square-Structural Equational Modeling(PLS-SEM) was used to analyze the data. The results show significant associations between overconfidence, anchoring, and availability biases and investment decision-making. However, the effect of representativeness bias depends on age as a moderator. The findings highlight the importance of age dynamics in understanding how behavioral biases shape investment decisions among female entrepreneurs in Pakistan. These insights can help policymakers design targeted interventions, such as specialized lending schemes and tax incentives, to support entrepreneurs across different age groups.

Purpose: AI has revolutionized the industry decision-making processes by offering unprecedented tools to enhance efficiency, precision and creativity. This study aims to uncover how AI literacy and AI efficacy empower French women entrepreneurs to overcome behavioral biases, particularly overconfidence and anchoring, thereby transforming their investment decisions for greater impact. Design/methodology/approach: Data were collected from the 330 women entrepreneurs residing in Strasbourg, France, using the proportionate stratified sampling technique. PLS-SEM was used to analyze the data and to build the structural relationship among the measured and latent constructs. Findings: The study findings explained that overconfidence and anchoring bias significantly impact investment decisions. Additionally, AI literacy significantly mediates the relationship between overconfidence and anchoring bias with investment decisions. Moreover, the moderating effect of AI efficacy strengthens the relationship between cognitive biases and investment decisions, suggesting that higher levels of AI efficacy mitigate the adverse effects of overconfidence and anchoring biases. This, in turn, enhances prudence in investment decisions and reduces the likelihood of irrational choices. Originality/value: This research provides new insights into how AI tools help overcome behavioral biases and improve investment decisions. By keeping in view, the women lead enterprises, this research fills the gap that enhancements in AI literacy tools can lead toward rational investment choices.

This study argued the growing concern of cognitive biases that hinder the rational decision-making among women entrepreneurs exhibiting narcissistic personality traits. Moreover, it also explores how narcissistic personality traits shape cognitive biases among women entrepreneurs, emphasizing financial literacy as a mediator and financial mindfulness as a moderator. For this purpose, data were collected from 215 registered women entrepreneurs operating in the SME sector across Punjab, Pakistan, using a proportionate stratified sampling technique and were analyzed through Smart-PLS. The results indicate the significant bonding between narcissistic personality traits and financial literacy as well as the financial literacy acts as the robust mediator between narcissism and cognitive biases. Furthermore, financial mindfulness serves as a strong moderator, significantly diminishing the cognitive biases and improving the rational financial decision-making. The findings highlight the necessity for focused financial literacy initiatives, particularly for women entrepreneurs susceptible to behavioral biases. This article addresses how personality-driven cognitive biases hinder women entrepreneurs’ financial decisions. Our findings indicate practical guidance for policymakers, financial institutions, and program developers to design gender-sensitive financial literacy and mindfulness initiatives that enhance resilience and rational decision-making. This paper also introduces a novel framework that connects personality traits, cognitive biases, and financial literacy to entrepreneurial decision-making, with a particular focus on the unique dynamics of emerging markets.

This study examined how entrepreneurial personality traits influence perceived succession success, considering the daughter successor's willingness to lead as a mediating factor. This study targeted the daughter successors designated as chairwomen or managing directors in the small-family business (S-FB) retail sector. A purposive sampling technique was used, and the sample size was 236. Using trait activation theory, we induced two filter questions to determine the unbiased relationship of exogenous, endogenous, and mediating variables. The daughter successor’s innovativeness traits have a positive significance, while internal locus of control and autonomy traits have non-significant associations with perceived succession success. Daughters with traits of innovativeness and a strong internal locus of control show a positive significance, whereas autonomy does not significantly relate to their willingness to take on leadership roles. Furthermore, the daughter successor’s readiness to lead partially mediates the relationship between innovativeness and perceived succession success, fully mediates the connection between an internal locus of control and succession success, and shows no mediation between autonomy traits and perceived succession success in S-FB. The successor’s unwillingness to lead results in succession failure and the closing down of family businesses. Through the support of trait activation theory, this study revealed that the allocation of job responsibilities and the provision of values, traditions, and cultural cues congruent with the successor’s personality traits not only increase her interest in leading but also enhance the likelihood of succession success for her family business.

Purpose: This research aligns with Saudi Vision 2030 and aims to investigate the impact of AI assimilation on entrepreneurial performance, focusing on the mediating role of entrepreneurial agility and the moderating effect of AI proficiency, guided by the theory of technology dominance (TTD).Design/methodology/approach: Data were collected from a sample of 390 women entrepreneurs in Riyadh, Saudi Arabia, engaged in small and medium-sized enterprises within low-technology service industries, where the adoption of intelligent decision aids is on the rise. The dataset was analyzed by using the structural equation modeling (PLS-SEM) technique to ensure robust empirical validation and hypothesis testing.Findings: The findings indicate that AI assimilation enhances entrepreneurial performance through increased agility. However, AI assimilation alone is insufficient for achieving optimal agility and improved entrepreneurial performance; the proficiency of the entrepreneur in AI is also crucial. When an entrepreneur’s skills and expertise align with AI assimilation, their agility is significantly enhanced, leading to better entrepreneurial performance.Originality/value: In line with the objectives of Saudi Vision 2030, this study emphasizes how crucial it is for Saudi Arabian women’s enterprises to embrace AI to improve their agility and decision-making. To guarantee alignment with organizational systems, which will increase innovation and workforce involvement, entrepreneurs should place a high priority on AI expertise. To assist these initiatives, policy improvements should concentrate on AI education, certifications, training and funding.

Drawing on the combined strengths of Conservation of Resources (COR) theory and Information Processing Theory (IPT), we explored the relationship between technological turbulence and knowledge hiding, with employees’ awareness of AI as a key mediating factor. We also examined the dual moderating effects of hierarchical flatness in an organization and change leadership to test the theoretical synergy of COR and IPT. Data were collected from 315 women-owned manufacturing firms and analyzed through PLS-SEM. The findings reveal that employees’ AI awareness mediates the link between technological turbulence and knowledge-hiding behaviors. A flatter organizational structure aids in spreading AI awareness among employees, while effective change leadership serves as a crucial moderator, reducing knowledge hiding by influencing employee behavior. The survey highlights that increased AI awareness can lead to fears about AI's impact on job security, driving knowledge hiding. However, skilled leadership can mitigate this by promoting innovation and encouraging collaboration with external partners. This study provides original insights by developing and empirically validating a model of knowledge hiding in response to technological turbulence in women-owned manufacturing sectors in Punjab, Pakistan. It deepens the understanding of knowledge management by examining the interplay between organizational flatness and AI integration, areas often overlooked in existing literature.

Purpose: This paper investigates the mediating role of employee awareness of artificial intelligence (AI) in the relationship between technological turbulence and knowledge hiding, with a focus on the moderating impact of change leadership. Design/methodology/approach: The survey study adopted a quantitative approach to propose and test a model based on predictors of knowledge hidings. The survey approach received 320 respondent firms in the hotel management sector. The structural and measurement model was calculated using SmartPLS. Findings: Employee AI awareness mediates the relationship between technological turbulence and knowledge hiding. Change leadership significantly moderates this relationship, reducing knowledge hiding by promoting innovative discussions and collaboration. High employee AI awareness can lead to knowledge hiding due to perceived threats to job security, but effective leadership mitigates this by fostering a collaborative environment. Originality/value: The study highlights the importance of effective leadership in reducing knowledge hiding and emphasizes the need for a collaborative environment where employees view external partnerships as opportunities for learning and acquiring AI knowledge.

International tourism and foreign direct investment (FDI) constitute the bedrock of economic vitality, propelling growth and progress in the economies. This study delves into the intricate relationships among international tourism, FDI, and economic growth within the context of Thailand. Nevertheless, a tourism development index is created by pooling distinct components of global tourism to evaluate the aggregate effect on economic growth. Using data from 1991 to 2021 and the ARDL bound testing approach to cointegration, this study indicates that international tourism and FDI have long-term positive impacts on Thailand's economic growth. The sensitivity and stability tests were used to assess the robustness of these results. The study's results promise to influence policy choices and shape industry approaches while enriching discussions on the economic impacts of the factors investigated.