Search results

We investigate whether/how various kinds of experience predict managers' selection outcomes.

Drawing from personnel selection and decision-making research, we used a multilevel model to examine whether various types of experience predict employee selection outcomes in the National Basketball Association. We examined 289 selection events of basketball players by 63 general managers. Measures of general manager experience included tenure, education level, family relations, experience as a college coach, experience as a National Basketball Association Player, experience as a National Basketball Association scout and experience as a National Basketball Association coach.

College coaching experience, tenure and vicarious experience through family relations improved selection decision outcomes, while experience as a basketball player reduced the quality of selection decision outcomes. Tenure was associated with general managers’ ability to select employees who made high individual contribution to team wins; vicarious experience improved ability to select players with high peak individual performance, and college coaching experience improved general managers’ ability to select employees with higher contributions to team wins, higher peak individual performances and higher average performances over the course of players’ careers.

Experience’s importance is taken for granted, but this paper demonstrates that all experience is not equally effective. Notably, experience as a professional athlete did not seem to make managers better decision-makers about personnel than people who did not have that experience.

This study explores the factors influencing artificial intelligence (AI)-driven decision-making proficiency (AIDP) among management students, focusing on foundational AI knowledge, data literacy, problem-solving, ethical considerations and collaboration skills. The research examines how these competencies enhance self-efficacy and engagement, with curriculum design, industry exposure and faculty support as moderating factors. This study aims to provide actionable insights for educational strategies that prepare students for AI-driven business environments.

The research adopts a hybrid methodology, integrating partial least squares structural equation modeling (PLS-SEM) with artificial neural networks (ANNs), using quantitative data collected from 526 management students across five Indian universities. The PLS-SEM model validates linear relationships, while ANN captures nonlinear complexities, complemented by sensitivity analyses for deeper insights.

The results highlight the pivotal roles of foundational AI knowledge, data literacy and problem-solving in fostering self-efficacy. Behavioral, cognitive, emotional and social engagement significantly influence AIDP. Moderation analysis underscores the importance of curriculum design and faculty support in enhancing the efficacy of these constructs. ANN sensitivity analysis identifies problem-solving and social engagement as the most critical predictors of self-efficacy and AIDP, respectively.

The study is limited to Indian central universities and may require contextual adaptation for global applications. Future research could explore longitudinal impacts of AIDP development in diverse educational and cultural settings.

The findings provide actionable insights for curriculum designers, policymakers and educators to integrate AI competencies into management education. Emphasis on experiential learning, ethical frameworks and interdisciplinary collaboration is critical for preparing students for AI-centric business landscapes.

By equipping future leaders with AI proficiency, this study contributes to societal readiness for technological disruptions, promoting sustainable and ethical decision-making in diverse business contexts.

To the author’s best knowledge, this study uniquely integrates PLS-SEM and ANN to analyze the interplay of competencies and engagement in shaping AIDP. It advances theoretical models by linking foundational learning theories with practical AI education strategies, offering a comprehensive framework for developing AI competencies in management students.

The complexity of contemporary societal challenges in emerging countries reanimates the necessity of collective action to resolve them. What is required is system change, namely, transformations in policy, practice, power relationships, market dynamics and social customs that underlie social and environmental issues. Technological innovations, paired with intentional social changes, might play a transformative role in this effort. This paper aims to investigate the relationship between the adoption of technologies in social enterprises (SEs) and their contribution to achieving system change. It also addresses the effects of their hybrid nature on this relationship.

The analysis relied on data collected through a survey of the global population of Ashoka fellows, which is largely based in emerging economies. Three models were developed concerning different pathways to achieve system change identified in the theoretical framework. These were tested using Probit regressions.

The investigation confirms that technology can support SEs in navigating complex pathways to achieve system change rather than merely enabling linear scaling operational strategies. The pursuit of economic value creation, in conjunction with a social mission, decreases the ability of SEs to achieve system change. This is because the scaling paths which hardly create revenues are neglected.

The study conceptualises a multifaceted model of system change. It tests the framework empirically to show that SEs can adopt technologies to unleash complex system change processes to generate societal impact, on top of merely demonstrating linear approaches to scaling or replication. The paper questions the capacity of SEs to facilitate system change without appropriate financial support and the inherent tensions between hybridity and the depth of system change dynamics.

The purpose of this study is to assess the role of renewable energy as a means of promoting women’s economic participation and improving their health by mitigating climate vulnerability.

To shed light on this relationship, the authors assess the capacity of renewable energy to reduce the negative impact of climate vulnerability on women’s economic empowerment and health, using the generalized method of moments estimator for 36 African countries over the period 1990–2021.

The empirical results show that climate vulnerability reduces economic empowerment and climate vulnerability increases child mortality. These results are mitigated by the use of renewable energy. The use of renewable energy mitigates the negative impact of climate vulnerability on women’s economic empowerment. Renewable energy use also reduces the pressure of climate vulnerability on child mortality. In addition, the authors take into account regional heterogeneities and find distinct effects. The results remain stable after further robustness testing.

Renewable energy thresholds are provided at which climate vulnerability no longer reduces women’s socio-economic well-being.

Firms are increasingly digitalizing their business processes and expanding them into digital platforms, which are believed to generate digital and relational resources that can facilitate and deliver innovations for firms. Instead of focusing on the extent of digital integration capability (DI), this paper seeks to empirically evaluate whether the DI asymmetry between the buyer and supplier firms influences bilateral information sharing and the buyer’s product innovation. We also examine the moderating effects of firms’ external (environmental dynamism) and internal (innovative climate) environments on these relationships.

Primary and secondary archival data on 180 buyer-supplier Chinese dyadic relationships were collected and analyzed using multiple linear regression models. Additionally, the Process macro was used to shed a nuanced light on the moderation effects of environmental dynamism and innovative climate.

The results show that DI asymmetry negatively impacts buyer firms’ product innovation through decreased information sharing. Environmental dynamism weakens the negative relationship between DI asymmetry and information sharing. Meanwhile, the innovative climate negatively moderates the relationship between information sharing and product innovation.

This study adds knowledge to the literature regarding the dark side of “one-sided digitalization.” By exploring the influences of unbalanced DI in buyer-supplier relationships, this study yields essential theoretical and managerial implications for product innovation success in a digital era.

The purpose of this study was to explore and critique the benefits and disbenefits that transport orientated development (TOD) brings to neighbourhoods in proximity to public transport hubs.

This is an exploratory study that may also be described as a rapid review that aims to provide coverage of the available literature in a systematic process that is simplified to produce information in a timely manner. Due to the relatively small number of available studies from peer-reviewed sources, the variety of methods and data used and the constrained time available for this study, the study did not immediately lend itself to a more thorough systematic literature review.

The literature shows the discourse on TOD upholds its promise to create a high-density mixed-use walkable neighbourhood supported by transport infrastructure, increasing accessibility, minimising vehicle dependency, reducing traffic congestion, moderating urban sprawl and reducing pollution. There are few articles on the negative aspects of TOD, particularly concerning social exclusion, crime, sustainability and concerns about gentrification of neighbourhoods.

The study did not immediately lend itself to a more thorough systematic literature review due to the relatively small number of available studies, the variety of methods and data used and the constrained time available for this study.

This study allows social investigators, policymakers and developers understand the benefits and disbenefits of TOD including policy implications regarding potential criminogenic factors.

This study aims to explore blockchain potential for digital marketing (BlkChn-Mk-KAP) by developing and validating a measurement model for assessing the constructs of knowledge, attitude and practice (KAP) related to blockchain technology in digital marketing.

A four-study process was used. The first study reviewed the literature to develop a pool of possible measurement items. Using exploratory factor analysis and reliability assessments, Study 2 (n = 162) investigated the dimensionality of the items developed in Study 1. The factorial structure from Study 2 was validated in Study 3 (n = 204), and the measurement model invariance was assessed using covariance-based structural equation modelling (CB-SEM). Finally, in Study 4 (n = 203), the predictive validity of the BlkChn-Mk-KAP was tested using a CB-SEM approach, testing its constructs correlations with the perceived usefulness of blockchain for digital marketing.

The findings indicate that the BlkChn-Mk-KAP measurement model comprises three-dimensional multi-item scales: knowledge, attitude and practice.

This study introduces a promising BlkChn-Mk-KAP model to examine blockchain’s role in digital marketing. The authors acknowledge the sampling limitation in this research. To enhance the generalisability of the findings, future research should expand to different groups, including generation, gender and age. In addition, further exploration of the explicit links between blockchain knowledge, attitudes and subsequent digital marketing performance is warranted.

Educating employees about blockchain technology’s unique features can shape favourable attitudes and stimulate the utilisation of blockchain-enabled technologies in digital marketing practice. BlkChn-Mk-KAP can offer a reliable and valid instrument to benchmark marketers’ KAP of blockchain-powered digital marketing as they implement blockchain technology to gain a competitive advantage.

This study helps to adopt sustainable practices ensuring the wellbeing of the key stakeholders.

This research introduces the first validated conceptualisation and measurement model, BlkChn-Mk-KAP, to evaluate blockchain KAPs among digital marketing professionals.

This study aimed to produce a functional gluten-free pasta, fortified with shrimp meat and shell powder, designed to be nutritionally rich and easily consumable and to meet the specific dietary needs of individuals with particular nutritional requirements.

The gluten-free pasta, developed using response surface methodology, incorporated 5.1% shrimp meat, 1.0% shrimp shell powder and 0.5% microbial transglutaminase, with psyllium husk powder utilized to enhance consistency. The pasta was dried using oven drying, fluidized bed drying and freeze-drying, and the resulting properties were characterized.

The nutritional content of the pasta remained consistent across the different drying methods. The cooking loss and weight gain values of the gluten-free pasta ranged from 6.95% to 7.29% and from 222.2% to 246.7%, respectively, with oven drying yielding the best cooking quality. The gluten-free pasta contained astaxanthin (1.361–1.691 ppm) and exhibited more than twice the antioxidant activity (0.158–0.187 µmol TE/g) compared to commercial pasta. While hardness, cohesion and chewiness values were highest in the freeze-dried pasta, the lowest springiness was observed. Texture profile analysis results were consistent with the scanning electron microscopy images. Mineral content was largely preserved by the freeze-drying method, with Na, P, K, Ca, Mg and Se being the most abundant, respectively. Gluten-free pasta offers a viable alternative for individuals with gluten intolerance, promotes increased consumption of aquatic products and contributes to waste recycling efforts.

The authors are aware that individuals with gluten intolerance have difficulty finding alternative foods.

Introducing a new formulation in gluten-free pasta production in order to overcome the difficulty of creating consistency in gluten-free dough. In addition to its nutritional value, a pasta that is rich in bioactive compounds has been produced, prominent in terms of astaxanthin, antioxidant activity and minerals.

Bring added value to pieces of shrimp meat with reduced economic value. Reuse of shrimp shells. Providing food security and a sustainable environment. Figure out the role of drying methods on gluten-free pasta comparatively with commercial pasta including gluten.

This study developed a novel functional gluten-free pasta formulation that promotes seafood consumption while offering ecological and economic benefits through the utilization of by-products.

Qualitative social media research has flourished in the field of marketing, but navigating the scope of inherent ethical concerns can be challenging, given the dynamic and nuanced nature of social media itself. The purpose of this paper is to propose a feminist ethic of care framework for conducting qualitative social media research in marketing.

This paper adopts a conceptual approach, theoretically guided by a feminist ethic of care perspective. A feminist ethic of care encourages ethical principles that align with qualitative methods, including empathy, collaboration, flexibility, interconnectedness, contextuality and recognizing power dynamics.

The feminist ethic of care framework outlines three considerations for conducting qualitative social media research: care to the platform, care to the participant and care to the procedure. To develop practical strategies for navigating core concerns, the authors offer reflexive questions that marketing scholars can ask themselves, guided by Tronto’s (1993) ethic of care principles: attentiveness (how am I becoming aware of needs to enact care?), responsibility (how am I willing to take care of needs?), responsiveness (how am I adjusting care practices to meet changing needs?) and competence (how am I developing the skills and knowledge to provide effective care?).

As a companion guide, the authors provide “A Practical Worksheet for Applying a Feminist Ethic of Care in Qualitative Social Media Research,” designed to support researchers in ethical decision-making at various stages throughout the research lifecycle. Researchers can use this tangible resource to navigate the nuances of their own qualitative social media research projects at critical inflection points (e.g. starting a project, data immersion, drafting a manuscript and preparing a submission).

This paper argues that a feminist ethic of care provides a context-sensitive, axiological lens for conducting qualitative social media research – starting with the “why-to,” or ethical principles, before moving to the “how-to”, or practical strategies.

The purpose of this paper is to investigate the influence of the external environment on the strategic thinking dimensions in Malaysia and Palestine on the banking sector.

This paper focuses on dynamism and complexity in political and economic external environments. This study uses qualitative methodology through a comparative case study method. Purposive sampling was used to collect data from in-depth semistructured interviews with 33 bank executives from Malaysia and 17 from Palestine.

The findings revealed that the banking sector in both Malaysia and Palestine shared five common strategic thinking dimensions, including vision, creativity, conceptual thinking, futurism and opportunity. However, a sixth dimension, intent-focused, was unique to Palestinian bank executives. This study indicates that Palestine’s financial strategic thinking environment is more dynamic and complex than Malaysia’s. Additionally, the study highlights the significant influence of both microenvironments (such as types of banks) and the macroenvironment (such as political and economic situations). These findings hold important implications for decision-makers in the banking sector of both countries.

As with many studies, this study has some limitations. First, the analysis examines only the turbulent and stable environment in the two countries by using a qualitative approach which enables the analysis of thoughts and actions and exposes the beliefs, perceptions, mental maps and structures of belief in their perceptions (Cavana et al., 2001). As such, the results are limited to a particular time, date and geographical location; thus, opinions and perceptions might be altered due to changes in the external political and economic environment. The second limitation of this work is that the case study might not be appropriate for generalization (Stake, 1978). Finally, the limited number of female participants in Palestine shows a high level of inequality compared to Malaysian participants.

This study explores the implication of uncertain environments at the national level on executives’ cognition and actions, links the micro- and macro-environment of the banking industry to a theoretical perspective and develops a conceptual circular model to show the effect of macro environments on bank performance. The findings offer practical contributions to the current literature, providing insights for executives to navigate a dynamic and complex banking industry.

This study fills the literature gap by exploring how strategic thinking dimensions triggered by macro- and micro-environments impact banking sector performance in Malaysia and Palestine.