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Mentoring has been shown to positively affect student engagement, confidence, leadership, and skills. It is through the development of relationships, knowledge sharing, increased engagement, and a sense of belonging that mentors gain confidence and build leadership skills. However, little is known about the types of leadership, practices, and behaviors that mentors develop when undertaking the mentorship role. The purpose of this study is to examine the development of exemplary leadership practices that the mentoring role nurtures in undergraduate female student mentors. In particular, this study adopted the Kouzes and Posner (2002) transformational and servant leadership practices model to collect data from undergraduate female mentors (n = 94) and mentees (n =142). Results demonstrated significant correlations among all Student Leadership Practices Inventory Scale (S-LPI) subscales – Inspite a shared vision, Model the way, Challenge the process, Enable others to act, and Encourage the heart – and provided evidence for the association of the mentoring role with the development of transformational and servant practices. However, among the five transformational leadership practices, Inspire a shared vision was not correlated with the mentoring role. Based on the findings of this study, it is recommended that curriculum developers of undergraduate programs create curricula containing an array of peer teaching/mentoring experiences based on clear roles and job descriptions for mentors. Further research is recommended to explore the impact of mentoring programs with a wider sample of students from diverse backgrounds.

Managers and scholars alike claim that artificial intelligence (AI) represents a tool to enhance supply chain collaborations; however, existing research is limited in providing frameworks that categorise to what extent companies can apply AI capabilities and support existing collaborations. In response, this paper clarifies the various implications of AI applications on supply chain collaborations, focusing on the core elements of information sharing and trust. A five-stage AI collaboration framework for supply chains is presented, supporting managers to classify the supply chain collaboration stage in a company’s AI journey.

Using existing literature on AI technology and collaboration and its effects of information sharing and trust, we present two frameworks to clarify (a) the interrelationships between information sharing, trust and AI capabilities and (b) develop a model illustrating five AI application stages how AI can be used for supply chain collaborations.

We identify various levels of interdependency between trust and AI capabilities and subsequently divide AI collaboration into five stages, namely complementary AI applications, augmentative AI applications, collaborative AI applications, autonomous AI applications and AI applications replacing existing systems.

Similar to the five stages of autonomous driving, the categorisation of AI collaboration along the supply chain into five consecutive stages provides insight into collaborations practices and represents a practical management tool to better understand the utilisation of AI capabilities in a supply chain environment.

Applying the stimulus-organism-response (S-O-R) theory in a wine museum context, this paper aims to examine how and why experience design characteristics influence visitor satisfaction, particularly investigating the role of epistemic (learning) and hedonic (having fun) values as the underlying mechanisms of this relationship.

The authors collected field survey data from 652 visitors at a world-leading wine museum. The authors tested the research model on ten modules of the museum using path analysis and a bootstrap approach; the authors further conducted mediation analyses to test how the design of the museum’s modules influenced perceived value and satisfaction.

Content comprehensibility and surprise, as well as interactivity and ease of use, are core design characteristics that drive visitor satisfaction. More significantly, hedonic and epistemic values play a significant mediating role in influencing the relationship between design characteristics and visitor satisfaction.

The authors provide clear and actionable recommendations to help managers design museums that provide educational, entertaining and satisfying visitor experiences.

To the best of the authors’ knowledge, this is the first study to apply the S-O-R theory in a wine museum context. The significance of this study lies in demonstrating how and why experience design characteristics support the creation of an edutainment visitor experience that drives visitor satisfaction.

This paper aims to compare the mission statements of Indian and Singaporean firms in the healthcare sector, and define the main components of Indian and Singaporean mission statements.

The study was based on a network analytic approach and content analysis. The research was performed on 200 companies (100 Indian companies and 100 Singaporean companies). For each company, we searched for a mission statement published in the company website. Nonnegative Matrix Factorization (NMF) in Python programming language was utilized to obtain the differences in the components of mission statements between Indian and Singaporean firms.

The study results indicate a similarity and variation between Indian and Singaporean mission statements. Both countries are more concerned about patients, service, community, quality, and healthcare in their mission statements, but Indian mission statements emphasize quality, affordable price, and technology more than Singaporean firms. In contrast, Singaporean mission statements tend to highlight innovation and company value. This research will assist strategic managers in identifying the mission statement components and choosing the right strategy for the organization.

This study contributes to the literature and ethos theory by identifying and distinguishing the paramount differences between the Indian and Singaporean mission statement components in the healthcare sector.

This study aims to examine whether diversified economies enhance the growth benefits from foreign direct investment (FDI). Diversified economies benefit from stable export earnings, stable investment composition and greater factor endowments through forward and backward linkages that can leverage superior foreign technology embedded in FDI. This is crucial as many African economies suffer from dependency while FDI is concentrated in the primary sector.

The authors use a dataset of 15 Economic Community of West African States from 1995 to 2020 and compile variables from various sources, including an export diversification index measured using the Herfindahl–Hirschman index of product concentration. The authors use a growth regression model estimated using dynamic panel estimators to control for endogeneity and simultaneity issues.

The results show that the effects of direct FDI are insignificant to growth considering diversification and controlling for other confounding factors. Meanwhile, diversification is associated with growth, which highlights the importance of industrial policy. More importantly, the authors find that the marginal effects of FDI are positively and significantly associated with growth when diversification levels are low, implying that production structure matters for the FDI–growth nexus in developing economies.

Previous studies have overlooked the role of export production structure on the FDI–growth nexus. Many developing economies are dependent on primary exports and suffer from dependency, which implies lower levels of factor endowments. As such, this reduces the growth gains from FDI. The authors provide new empirical evidence on the importance of export production structure on the FDI–growth nexus.

This paper aims to unveil the darker side of cryptocurrencies by delving into its role as an obstacle to investments in Middle East and African (MEAs) countries, unravelling the challenges involved. Indeed, despite the rise of blockchain-related technologies, specifically cryptocurrencies, having undeniably unlocked new avenues for business and society, crypto for venture funding purposes may exhibit a “dark side” due to their use for unethical purposes, for example, money laundering or terrorism financing, largely diffused in certain areas of MEA countries.

Through an explorative research design, using a mix of techniques based on both qualitative and interpretive methods, we conducted in-depth interviews among 33 European managers of companies engaged in MEA markets or aspiring to invest in such foreign markets, to analyse their thoughts, perceptions and possible strategies concerning the management of the “dark side” of cryptocurrencies in MEAs.

Our investigation unearthed seven pivotal issues, which manifest as significant barriers related to the ambivalent use of crypto for funding projects, encompassing seven important consequential elements: (1) lack of knowledge about the technology’s potentialities; (2) perceptions of crypto technology’s ambivalence; (3) reputation and image consequences; (4) uncertainty about the destination of the invested funds; (5) decreased attractiveness of MEAs; (6) competition and market; and (7) lack of control and regulation. We grouped these into technology-related, business-related and legal- and policy-related barriers. Such findings underline the probable decrease in attractiveness of MEAs in terms of investments, together with the triggering factors and potential strategic solutions to mitigate such circumstances.

Future studies could explore a broader sample of managers since we only considered the perception of European managers operating in companies that invest (or are intending to invest) in MEAs. Moreover, future research may extend the analysis to MEA-native companies or those engaging in reciprocal exchanges with Western countries.

Practically, our findings suggest several elements in which to intervene to mitigate managers’ negative perception of the unethical use of cryptocurrencies in MEAs and to support CEOs’ and CFOs’ strategies, together with requirements to ensure the unaltered attractiveness of investments in an otherwise thriving region of the world, without overlooking the protection and safeguarding of investments and the health of the market and competition. Furthermore, a call for future research in this domain, along with at least minimal regulatory mechanisms, clearly emerges.

Our findings underline the social challenges associated with the perception and acceptance of cryptocurrencies in these contexts, influencing cultural and social dynamics. Moreover, the identification of these barriers could underscore the significance of awareness of and education on blockchain technology and cryptocurrencies within society, including implications for policymakers.

Despite prior investigations into the negative effects of cryptocurrencies as a form of venture funding, no studies to date have examined managers’ perceptions by focusing on possible barriers to investment in MEA countries due to the unethical usage of crypto. Importantly, this paper unravels the unexplored complexities of crypto’s impact on ethical investments in MEAs, showcasing an original perspective.

Our study was designed to investigate the longitudinal trajectories of student leader development capacities in a sample of students enrolled in multiple leadership-focused courses across several semesters. Our goal was to assess the degree to which course enrollment was associated with growth over the time that students engage as undergraduates in academic leadership programs, and if so, to assess the shape and speed of capacity change.

We utilized a multilevel intra-individual modeling approach assessing students’ motivation to lead, leader self-efficacy, and leadership skills across multiple data collection points for students in a campus major or minor focused on leadership studies. We compared an unconditional model, a fixed effect model, a random intercept model, a random slope model, and a random slope and intercept model to determine the shape of score trajectories. Our approach was not to collect traditional pre-test and post-test data – choosing to collect data only at the beginning of each semester – to reduce time cues typically inherent within pre-test and post-test collections.

Our results strongly suggested that individual students differ greatly in the degree to which they report the capacity to lead when initially enrolling in their first class. Surprisingly, the various models were unable to predict a pattern of longitudinal leader development through repeated course enrollment in our sample.

Our investigation employed statistical methods that are not often utilized in leadership education quantitative research, and also included a data collection effort designed to avoid a linear pre-test/post-test score comparison.

There does not exist any precise definition of ‘development’. In view of the indispensability of an interpretation of this concept a degree of speculation seems to exist in a development process. This is the reason this chapter has been included in this work. No scholar has precisely defined ‘development’ and ‘developing’ countries. It is believed that indigenous people know best what would be most suitable for them for development of their country. However, any discussion of these topics becomes incomplete, controversial, etc. in the absence of any precise definition. This chapter is no exception to this although an attempt has been made to outline development.

This study aims to explore the mechanism of boundary-spanning search on firm’s innovation performance under environmental dynamics from the perspective of strategic knowledge integration.

A survey was conducted among Chinese firm managers and R&D personnel, resulting in the collection of 315 valid samples. Hierarchical regression analysis was mainly adopted to demonstrate the hypothesized relationships, while the Sobel test and bootstrap method were used to further validate the mediating effects.

The results demonstrate that boundary-spanning search in different dimensions is a critical factor in the improvement of firm innovation performance (FIP). Two types of strategic knowledge integration are the main factors causing FIP and mediate the influence of boundary-spanning search on FIP. Furthermore, environmental dynamics moderate the relationship among boundary-spanning search, strategic knowledge integration and FIP.

Managers need to strengthen the boundary-spanning search for market and technical knowledge, which will promote firm innovative performance. Managers also need to implement strategic knowledge integration, which specifically includes using planned strategic knowledge integration to compensate for knowledge deficiencies, thereby achieving predetermined objectives; and using emergent strategic knowledge integration to update their understanding of internal and external environments, and to reset strategic objectives. In dynamic environments, managers should emphasize strategic knowledge management activities more.

From a strategic management perspective, this study categorizes strategic knowledge integration into planned and emergent forms. By applying the logic of knowledge acquisition, integration and creation, it explores how boundary-spanning search affects FIP through strategic knowledge integration as the intermediary and the boundary conditions of environmental dynamics. This not only provides a deeper understanding of the nature and effects of boundary-spanning research but also enhances the theory of strategic knowledge management.