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This study employs the norm activation model (NAM) and the elaboration likelihood model (ELM) to investigate the drivers of consumers’ buying intent (BUI) for eco-friendly products (EFP). The primary emphasis is on eco-consciousness, which includes environmental literacy (ENL) and environmental concern (ENC). The research further examines the mediating role of ENC in the relationship between ENL and BUI while also considering the sequential mediation effects involving both ENC and eco-responsible practices (ERP). Additionally, the study explores the moderating influence of attitude (ATT) on the relationship between ENC and ERP and its effect on ERP and BUI.

Employing purposive sampling, 412 online survey responses were statistically analysed using partial least squares structural equation modelling (PLS-SEM).

The findings of this study demonstrate that ENL exerts a significant and positive influence on ENC, subsequently enhancing BUI. Moreover, there is a positive relationship between ENC and ERP and ERP and BUI. This research further indicates that ENC positively mediates the relationship between ENL and BUI. Additionally, ENC and ERP sequentially and positively mediate the relationships involving ENL and BUI. Furthermore, the results suggest that the strength of the association between ENC and ERP marginally decreases (trivial), and the strength of the relationship between ERP and BUI decreases (small).

This study advances the existing body of knowledge by integrating NAM and ELM to examine the drivers of consumers’ BUI toward EFP thoroughly. The research offers novel insights into the relationship between ENL and ENC and their effects on ERP and BUI, underscoring the significant role of consumers’ eco-consciousness. The findings have practical implications for businesses and policymakers who seek to formulate strategies that align with consumers’ psychological, cognitive, and behavioural processes in the context of Sustainable Development Goal 12 (SDG12), which can contribute to the global effort to foster more eco-friendly products and a sustainable future.

Implementing big data analytics (BDA) for supply chain ambidexterity (agility and adaptability) and green supply chain (GRSC) presents various organizational challenges. These include leveraging BDA capabilities to balance agility and adaptability, integrating this combined approach with GRSC and aligning these efforts to enhance firm performance. This study explores the associations between BDA, supply chain agility and adaptability, GRSC and their impact on firm performance.

Incorporating a resource-based view and contingency theory, we developed a research framework and validated it with data from 355 Chinese firms. Partial least squares structural equation modeling was used to analyze the data.

The findings demonstrate that BDA capabilities had direct impact on supply chain agility and adaptability, GRSC and firm performance. Moreover, the combination of supply chain agility and adaptability affected GRSC; which in turn significantly influenced firm performance. Supply chain agility and adaptability mediated the relationship between BDA capabilities and GRSC. Additionally, GRSC mediated the relationship between BDA capabilities, supply chain agility and adaptability and firm performance.

This study offers both a theoretical and empirical examination of the relationships between BDA capabilities, supply chain agility and adaptability, GRSC and firm performance. By assessing the direct and mediating effects of these factors on China’s industrial sector, it presents new theoretical and practical insights into BDA and GRSC, thereby enhancing the value of the existing literature.

The primary purpose of this research is to investigate the flow and heat transfer characteristics of non-Newtonian nanofluids, specifically Reiner–Philippoff (R-Ph) fluids, across a radially magnetized, curved, stretched surface. By considering factors such as Brownian motion, thermophoresis and viscous dissipation, the study aims to enhance the understanding of heat transfer mechanisms in various engineering and industrial applications, thereby contributing to improved thermal management strategies.

This study employs the local non-similarity method to analyze the flow and thermal behavior of R-Ph nanofluids over a radially magnetized, curved, stretched surface. The governing system is simplified using suitable transformations, and a local non-similarity approach is applied to treat non-dimensional partial differential equations as ordinary differential equations. The resulting system is numerically solved by employing the Bvp4c algorithm via MATLAB. Various dimensionless parameters, such as thermophoresis and magnetic numbers, are systematically varied to evaluate their impact on the velocity, concentration and temperature profiles of the nanofluid.

The results indicate that the concentration profile of the nanofluid improves with increasing thermophoresis and magnetic numbers, while it decreases with higher Schmidt and Bingham numbers. The velocity of the nanofluid decreases with larger magnetic numbers and curvature parameters but increases with the R-Ph fluid and Bingham numbers. Additionally, the temperature profile shows a decreasing trend for higher curvature and Bingham numbers while rising with higher Brinkman and magnetic numbers. The Sherwood number increases with Schmidt number, thermophoresis and Brownian motion parameters.

This study provides a novel analysis of R-Ph nanofluids in the context of curved stretching surfaces under magnetic fields, contributing to the understanding of non-Newtonian fluid dynamics. The use of the local non-similarity method to transform and solve the governing equations offers a fresh perspective on heat transfer phenomena. The findings have significant implications for various fields, including engineering, electronics and biomedical applications, by enhancing thermal efficiency and performance in systems utilizing nanofluids.

Construction projects in developing countries frequently face criticism for engaging in social and environmentally irresponsible practices. Therefore, the purpose behind this research stems from the critique, requiring to formulate a comprehensive corporate social responsibility (CSR) framework that integrates sustainable innovation into business processes through stakeholder engagement.

In total, 23 experts from the Pakistan construction industry took part in the Delphi study. Criteria set in terms of diverse backgrounds, organization size, characteristics or experiences of experts.

The finding reveals that the integration of CSR with sustainable innovation demands significant change in business processes, starting from planning, implementing and oversighting stages of project management and a demand for top management commitment to realize sustainable benefits that deliver value to all stakeholders.

Construction projects in developing countries frequently face criticism for engaging in socially and environmentally irresponsible practices. Therefore, the purpose behind this research stems from the critique, requiring to formulate a comprehensive CSR framework that integrates sustainable innovation into business processes through stakeholder engagement. In total, 23 experts from the Pakistan construction industry took part in the Delphi study. Criteria set in terms of diverse backgrounds, organization size, characteristics, or experiences of experts. The finding reveals that the integration of CSR with sustainable innovation demand significant change in business processes, starting from the planning, implementing and oversighting stages of project management and a demand for top management commitment to realize sustainable benefits that deliver value to all stakeholders.

This study aims to examine the association between responsible leadership and work engagement through the mediation of knowledge sharing. Further, the study explored the boundary condition of helping initiative behavior (HIB) between responsible leadership and knowledge-sharing (KS) behavior.

Considering work engagement as a global challenge, the data for this study was collected from 386 employees working in various organizations on convenience basis. Specifically, the data was collected in two waves through a questionnaire-based survey method and structural equation modeling was used for hypotheses testing.

The results reveal that responsible leadership directly and indirectly (through knowledge sharing) affects work engagement. In addition, HIB strengthens the association between responsible leadership and knowledge sharing.

The study collected data from a developing country. However, the findings suggest management should implement such practices that enable leaders to be more responsible. Such leaders create a learning environment that enhances knowledge sharing and promotes work engagement.

Based on social exchange, this study explored the mediating role of KS behavior between responsible leadership and work engagement and the conditional role of HIB between responsible leadership and KS behavior.

Current research in the field of behavioural finance has attempted to discover behavioural biases and their characteristics in individual investors’ irrational decision-making. This study aims to find out how biases in information based on knowledge affect decisions about investments.

In step one, through existing research and consultation with specialists, 13 relevant items covering major aspects of bias were determined. In the second step, multiple linear regression and artificial neural network were used to analyse the data of 337 retail investors.

The investment choice was heavily impacted by regret aversion, followed by loss aversion, overconfidence and the Barnum effect. It was observed that the Barnum effect has a statistically significant negative link with investing choices. The research also found that investors’ fear of making mistakes and their tendency to be too sure of themselves were the most significant factors in their decisions about where to put their money.

This research contributes to the expansion of the knowledge base in behavioural finance theory by highlighting the significance of cognitive psychological traits in how leading investors end up making irrational decisions. Portfolio managers, financial institutions and investors in developing markets may all significantly benefit from the information offered.

This research is a one-of-a-kind study, as it analyses the emotional biases along with the cognitive biases of investor decision-making. Investor decisions generally consider the shadowy side of knowledge management.

The literature has generally examined supply chain disruptions and mitigation, assuming that resilience capabilities are universal. This assumption undermines the productivity and competitiveness of manufacturing firms in developing economies due to differences in contextual attributes and challenges. In this study, we advance the current knowledge in the literature and explore context-driven disruptions in developing economies to provide a foundational step for disruption-mitigation fit to enhance operational efficiency and business continuity.

This study adopts a qualitative multi-case study approach and explores the operational environment of manufacturing firms in developing economies to unpack context-driven disruptions and strategies for managing disruptions. An in-depth exploratory multiple case study of 8 manufacturing firms was conducted using semi-structured interviews with 31 key informants across the case firms.

Findings indicate that manufacturing firms in developing economies face operational disruptions and challenges specific to their business environment, contrasting with those experienced in developed countries and documented in the literature. This contrast suggests that mitigation strategies designed for disruptions in developed economies may prove ineffective in addressing emergent and context-driven disruptions in developing countries.

Since this paper is based on an in-depth single case study, its findings may not be empirically generalisable to other sectors and countries beyond Africa.

Considering the interconnectivity of global supply chains, this study highlights the need for firms and managers in developed economies to be cognisant of context-specific disruptions affecting firms in developing economies. The study provides valuable insights into how manufacturing firms can build resilience by embedding context-specific planning practices into their strategic supply chain agenda.

With Africa’s lack of production contribution to the global manufacturing value-added, this study underscores the need for manufacturing firms in developing economies to be proactive, pragmatic, and strategic in devising planning consistent with their operations and the dynamic business environment.

The emergence of virtual reality (VR) has the potential to revolutionize various industries, including tourism, as it delivers a simulated environment that closely emulates real-life experiences. Therefore, this study aims to explore how the factors, i.e. enjoyment, emotional involvement, flow state, perceived privacy risk, physical risk and cost, influence the customers’ intention to use VR for tourism.

This study integrates the technology acceptance model, hedonic consumption theory with other factors, including cognitive response, authenticity, perceived privacy risk, perceived physical risk, perceived cost and perceived presence. Partial least squares structural equation modelling approach was used to test the proposed research model.

The finding based on the sample of 252 respondents revealed that authenticity is the most influential factor impacting behavior intention followed by perceived cost, attitude, cognitive response and enjoyment. Also, the study supported the moderating impact of personal innovativeness between attitude and behavioral intention to use VR for tourism.

The findings of the study offers practical implications for service providers, site managers, destination marketers, tourist organizations and policymaker to develop more effective strategies for offering VR services for tourism.

This study enriches the current understanding of VR adoption in context of tourism with empirical evidences.

虚拟现实的出现有可能彻底改变包括旅游在内的多个行业, 因为它提供了一个模拟环境, 密切模拟真实生活体验。因此, 本研究旨在探讨愉悦、情感投入、流体状态、感知隐私风险、身体风险和成本等因素如何影响顾客使用虚拟现实进行旅游的意愿。

本研究将TAM模型、享乐消费理论与其他因素相结合, 包括认知反应、真实性、感知隐私风险、感知身体风险、感知成本和感知存在。 PLS SEM 方法用于测试所提出的研究模型。

基于 252 名受访者样本的研究结果表明, 真实性是影响行为意图的最大因素, 其次是感知成本、态度、认知反应和享受。此外, 该研究还支持个人创新性对使用虚拟现实进行旅游的态度和行为意图之间的调节影响。

该研究的结果为服务提供商、站点管理者、目的地营销人员、旅游组织和政策制定者制定更有效的策略来为旅游业提供 VR 服务提供了实际意义。

本研究通过实证证据丰富了当前对旅游背景下虚拟现实采用的理解。

La aparición de la realidad virtual tiene el potencial de revolucionar diversas industrias, incluyendo el turismo, ya que proporciona un entorno simulado que emula de cerca las experiencias de la vida real. Por lo tanto, este estudio tiene como objetivo explorar cómo los factores, como la diversión, la participación emocional, el estado de flujo, el riesgo percibido de privacidad, el riesgo físico y el costo, influyen en la intención de los clientes de utilizar la realidad virtual para el turismo.

Este estudiointegra el modelo TAM, la teoría del consumohedónico con otrosfactores que incluyen la respuestacognitiva, la autenticidad, el riesgo de privacidadpercibido, el riesgofísicopercibido, el costopercibido y la presenciapercibida. Se utilizó el enfoque PLS SEM para probar el modelo de investigaciónpropuesto.

El hallazgobasadoen la muestra de 252 encuestadosreveló que la autenticidades el factor másinfluyente que afecta la intención de comportamiento, seguido del costopercibido, la actitud, la respuestacognitiva y el disfrute. Además, el estudioapoyó el impactomoderador de la innovación personal entre la actitud y la intención de comportamiento al utilizar la realidad virtual para el turismo.

Los hallazgos del estudioofrecenimplicacionesprácticas para que losproveedores de servicios, administradores de sitios, comercializadores de destinos, organizacionesturísticas y formuladores de políticasdesarrollenestrategiasmásefectivas para ofrecerservicios de realidad virtual para el turismo.

Este estudioenriquece la comprensión actual de la adopción de la realidad virtual en el contexto del turismo con evidenciasempíricas.

The purpose of this study is to explore the evolving landscape of money laundering (ML) research in emerging economies, identifying key trends, challenges, and future research directions.

The paper adopts bibliometric and systematic literature review approaches to distill the main trends, themes and knowledge gaps in the areas of ML research. This paper analyzed indicators of bibliometrics, keyword co-occurrence network and thematic clustering while identifying evolving patterns in researching ML by analyzing 102 articles indexed in both Scopus and Web of Science.

ML research has taken a quantum leap after 2018. It discusses thematic clusters on the challenges facing developing countries, corruption and its interaction with financial systems, illicit financial flows and the macroeconomic consequences of financial crimes. Globalization, political dynamics and informal financial systems pose other challenges. These findings emphasize adaptive, technology-driven frameworks oriented toward the sustainable development goals.

The research provides a cumulative overview of fragmented studies on ML in emerging economies, thereby bridging the gaps between academic research and policy-making. The paper contributes to the wider understanding of the socio-economic and environmental dimensions of financial crimes and positions ML within the global agenda of equitable development.

The purpose of this paper is to integrate job demands–resources theory with core self-evaluation theory to examine how and when sustainable project leadership stimulates sustainable project performance. Psychological empowerment is used as a mechanism between sustainable project leadership and sustainable project performance, whereas core self-evaluation acts as a moderator between sustainable project leadership and psychological empowerment.

This study adopts a time-lagged two-phase approach to collecting data from 257 software engineers working in medium-sized and large companies in the Polish financial sector.

This study reveals the direct and indirect (through psychological empowerment) effects of sustainable project leadership on sustainable project performance. It also confirms that the “sustainable project leadership–psychological empowerment” relationship strengthens with increasing level of project team members’ core self-evaluation.

This article explores a unique research framework. It significantly enriches the literature on sustainable project management, increasing the understanding of effective leadership practices that address the needs of software engineering teams to support sustainable project performance.