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This paper aims to model the mediating effects of facilitating conditions and innovativeness in the industrial Internet of Things (IIoT) and blockchain technology (BT) on manufacturing supply chain performance (MSCP).

Partial least square structural equation modelling was used to test the goodness of the model fit and hypotheses by using SmartPLS 3.3.3. Data was collected from 464 managers in Pakistan’s automotive industry through a stratified random sampling technique.

IIoT, BT, facilitating conditions and innovativeness significantly enhanced the MSCP. Therefore, the mediation between facilitating conditions and innovativeness to IIoT and BT adoption was significant in the MSCP.

The adoption of digital technology to improve the MSCP can assist companies in reducing the cost of complex procurement, production and distribution processes through secured and efficient operations. Furthermore, organisations must establish a conducive atmosphere that fosters experimentation, collaboration and resource allocation towards technological advancements to capitalise on the advantages of these technologies effectively.

This study developed a research model integrating IIoT technology, BT, facilitating conditions and innovativeness to determine the MSCP under the resource-based view theory. The outcome of this study could help organisations design a framework to improve supply chain performance by integrating innovativeness.

Sustainability issues are crucial in today’s competitive environment. The integration of technology plays a vital role in the attainment of sustainability objectives. The study aims to investigate the relationship between green intellectual capital (IC), green information systems (IS), green management initiatives (GMI) and green technology adoption in light of natural resource-orchestration theory (ROT). Moreover, digital technology adoption mediates between green IC, green IS, GMI and sustainable performance. Finally, digital transformation strategy is used as a moderator between green technology adoption and sustainable performance.

A sample of 484 managers from automobile manufacturing companies was used in this study to evaluate the proposed relationships using the Structural Equation Modeling (SEM) methodology.

Findings reveal that green IC, green IS and GMI significantly influence green technology adoption. Besides, green technology adoption plays a crucial role in improving sustainable performance. Moreover, green technology adoption significantly mediates between green IC, green IS, GMI and sustainable performance. Finally, a digital transformation strategy significantly strengthens the relationship between green technology adoption and sustainable performance.

The organizations need green technology adoption to address environmental concerns, respond to consumer demand, achieve cost savings and comply with government regulations. Besides, in decision-making, organizations must focus on green IC, green IS, GMI, green technology adoption and digital transformation strategy to boost sustainable performance.

The originality of this study lies in its use of the natural ROT as a framework to examine the impact of multiple green resources on green technology adoption, leading to sustainable performance. Digital transformation strategy is used as a moderator between green technology adoption and sustainable performance. This study provides a comprehensive and integrated perspective on the subject with empirical evidence and relevant insights, contributing to the advancement of the field.

This study aims to contribute to the International Business literature by investigating the marketing stimuli that drive impulsiveness and perceived value in mobile shopping (MS) platforms and their impact on consumer response.

This study uses a sample of 891 MS platform users and applies structural equation modeling based on the stimulus–organism–response and the consumption value theory.

The empirical finding revealed that rewards, recognition, reviews and ratings are the most influential factors driving perceived value. In addition, the results indicated that customized offerings and visually appealing experiences were the most critical factors affecting the state of impulsiveness. This study also highlights the negative impact of the ubiquitous nature of MS on impulse buying behavior, emphasizing the importance of providing consumers with tools to make informed decisions. This study demonstrates a significant positive relationship between perceived value and impulsiveness, influencing MS.

This study reveals generational differences in the impact of reviews and ratings on perceived value, which can inform businesses’ MS strategies. The results have implications for managers of international firms seeking to optimize their business strategies.

To the best of the authors’ knowledge, using structural equation modeling, this study is the first to conduct a comprehensive examination of marketing stimuli, impulsiveness and perceived value in MS platforms. It offers businesses strategic insights by identifying rewards, recognition and customized offerings as the key determinants of consumer behavior.

The purpose of this study is to investigate the role of knowledge management (KM) practices on innovation performance. It also examines whether organisational creativity and organizational learning mediate the relationship between KM practices and innovation performance.

The study uses a quantitative method by surveying (n = 291) hotel employees from Malaysia using self-administered questionnaires. Data collected were analysed by using partial least squares structural equation modelling.

Findings reveal that KM positively impacts innovation performance among Malaysian hospitality workers. This study further reveals that organisational learning and organisational creativity significantly mediate the relationship between KM and innovation performance.

Theoretically, this study establishes how KM practices influence innovation performance. Organizations that practice organizational learning and creativity are more likely to benefit from increased innovation outcomes through KM practices.

This study aims to focus on exploring the impact of the COVID-19 pandemic on the students’ academic performance in Jordanian higher education during the outbreak of the pandemic, evaluating the e-learning education and evaluating online education in practical lessons during the pandemic according to the university type, educational level, academic year and different specializations or faculty.

This study provides quantitative and qualitative analysis on the students’ e-learning performance during the pandemic. It presents the analysis of online learning preference of 424 questionnaires and 85 structured interviews with the university’s students and examines whether there is significant impact of the COVID-19 pandemic on their academic performance.

The findings of this study present evidence of students’ improvement in their academic performance and lend credence to the notion that organizational characteristics may play a role in the adaptation of emergency remote teaching. This was evident that more scientific-based faculties (engineering, pharmaceutical and medicine) faced more challenges during the pandemic, and it negatively influenced students’ performance. This was justifiable to the need for a more practical one-to-one interaction and integration.

The findings of this research present evidence of students’ improvement in their academic performance and lend credence to the notion that organizational characteristics may play a role in the adaptation of emergency remote teaching. This was evident that more scientific-based faculties (engineering, pharmaceutical and medicine) faced more challenges during the pandemic and it negatively influenced students’ performance. This was justifiable to the need for a more practical one-to-one interaction and integration.

This study embarks on a comprehensive investigation into the intricate relationship between consumer trust in e-commerce platforms and the adoption of Green Supply Chain Management (GSCM). It delves into a multifaceted analysis of how these dynamics influence the landscape of online shopping, with a specific focus on four critical dimensions: the efficiency of online purchasing processes, the fulfillment of product delivery commitments, the convenience associated with e-platform utilization, and the safeguarding of consumers' personal information.

This research employs sophisticated Structural Equation Modeling (SEM) techniques, facilitated by SPSS and SmartPLS software, to meticulously analyze the amassed data and subject the formulated hypotheses to rigorous testing. The empirical foundation of this study draws from a sample of 377 randomly selected online shoppers, providing a robust basis for its insights.

At its core, this research is squarely focused on unraveling the dynamics of consumer trust within e-commerce platforms and highlighting the pivotal role played by GSCM in making online shopping more ecologically responsible and sustainable. Of paramount importance is the novel dimension introduced by this study the integration of trust in e-commerce platforms, GSCM practices, and the multifarious dimensions of online shopping all within a unified conceptual framework. Trust on e-commerce platforms leads to GSCM. GSCM determines online shopping satisfaction, i.e. efficiency, fulfillment, convenience, and privacy. Finally, GSCM mediates between trust on e-commerce platforms and online shopping satisfaction.

This holistic approach represents a ground-breaking contribution to the existing body of literature. It presents a fresh perspective on the intricate interactions that define the contemporary e-commerce landscape.

This initial research integrates trust in e-commerce platforms, GSCM, and online shopping in a single framework through UTAUT2.

This paper analyzes and compares segments disclosure practices of listed companies of Pakistan and Bangladesh under International Financial Reporting Standard (IFRS) 8 with companies from India under Accounting Standard 17 over three-year period from 2013 to 2015. Furthermore, the purpose of this paper was to investigate that how the selection of chief operating decision-maker (CODM) by management, industry type, governance and firm characteristics affects segments disclosure practices in South East Asia. Finally, how the relationship among segment disclosure, firm characteristics and corporate governance is moderated through the big 4 audit firm.

To achieve these objectives, data were collected from annual reports of the top 100 companies of each country and selected based on market capitalization for three years period 2013–2015.

Results state that majority of companies in South East Asia are using business class for defining operating/primary segments. Regarding reporting of operating/primary segments and geographic/secondary segments along with geographic fineness score, Indian companies are continuously on the lower side as compared to companies from Pakistan and Bangladesh. Furthermore, it was found that industry type and selection of CODM have a highly significant effect on segments disclosure practices. Finally, results of regression analysis found that the application of IFRS 8 in Pakistan and Bangladesh has a significant positive effect on disclosure of operating/primary as well as geographic/secondary segments as compared to India. Further, the role of corporate governance mechanism in influencing segments disclosure was found as least in South East Asia. Further appointment of big 4 audit firm as external auditor has only significant positive effect on disclosure of segments items. Finally, based on additional analysis, it was found that big 4 auditor moderates the relationship only in the case of reporting of operating/primary segments.

Based on these results, the performance of Indian companies regarding disclosure of operating/primary segments, geographic/secondary segments along geographic fineness score is quite low despite the fastest growing economy in the world. This raises concerns about the quality of segment reporting in India, the world’s fastest expanding economy.

These results imply that there is a need of an effective role by the external auditor to improve the quality of segment reporting in developing countries, which is principle based.

The purpose of this research is to investigate the effect of characteristics of capitalism on environmental performance.

The authors analyzed a sample of 6,257 companies, based in 55 countries and 8 typologies of capitalism. The independent variables are the characteristics of capitalism, measured through five indicators: cooperation between employees and employers, index of economic freedom, local competition between industries, human development index (HDI) and quality of the governance environment. To measure environmental performance, the authors created an index composed of 20 indicators. Data were analyzed using panel data regression and dynamic panel of the generalized method of moments.

The results indicate that the characteristics of capitalism can shape the environmental behavior of companies. The authors find that in countries with better cooperation between employees and employers, more economic freedom, and competition between firms, in addition to better HDI and national governance, companies have higher environmental performance. When they are in more developed countries, companies have a greater environmental performance.

Managers must consider the country's characteristics of capitalism when making their environmental decisions and strategies. The findings invite governments to incorporate into their regulations mechanisms to protect other interest groups, not just shareholders.

Few studies have examined environmental performance, which is less susceptible to greenwashing. The metric for environmental performance measures the company's concrete effort in relation to environmental issues and not just the disclosure of information. Additionally, the authors examine characteristics of capitalism supported by Varieties of Capitalism, an approach still little explored in the environmental management.

This study examines how compliance with government and firm's own policy and reverse logistics practices relate with firm environmental performance.

This study draws on insights from stakeholder theory, and follows a two-phase research approach. The first phase utilized an extended literature review that seeks to provide a qualitative and comprehensive understanding of the research problem. The 2001–2023 data was collected from the Web of Science and Scopus databases, complemented with Google Scholar. The second phase involved an empirical study—adopting a quantitative cross-sectional survey design with a self-administered questionnaire to validate the theoretical conceptualizations deriving from the literature review. The empirical data were collected from 203 food and beverages manufacturing firms in Uganda and analysed using the partial least squares structural equation modelling (PLS-SEM) approach.

The study findings suggest that compliance with government policy positively influences firm environmental performance, both directly, and indirectly through fostering reverse logistics practices, and that the relationship between compliance with government policy and reverse logistics practices is contingent upon compliance with the focal firm's own policy.

The study findings will enhance the theoretical and conceptual development of the ideas that underpin stakeholder theory and applications. The Ugandan government will come up with better mechanisms for enforcing compliance with policy regulating the application of reverse logistics practices. In addition, the study advances the use of multi-method approaches in investigating interesting research aspects requiring in-depth examination. However, considering the fact that the empirical study was conducted in a single country context, and focused on firms more or less from the same sub-sector, the findings of the study might not be generalizable globally.

This study provides useful insights to logistics and supply chain managers involved in reverse logistics activities in food and beverages manufacturing firms. These managers can know how to leverage reverse logistics practices to enhance environmental performance of firms amidst environmental policies in the industry where they operate.

This study contributes to the built body of knowledge in operations, logistics and supply chain management literature; understanding about reverse logistics practices as a mechanism through which compliance with government policy influences environmental performance of firms. The interaction between compliance with government policy and compliance with firm policy is essential in explaining the performance effects of reverse logistics practices. In addition, the study advances the use of multi-method approaches in investigating interesting research aspects requiring in-depth examination. Complementing extended literature review with and empirical research to investigate reverse logistics practices influences on firm environmental performance, and incorporating the role of policy in explaining this relationship should make considerable contribution. Besides, the study highlights important areas for future research.

Infrastructure projects are pivotal for regional economic development, but also face low project effectiveness. Leadership is always regarded as a key enabler for project team effectiveness, including vertical leadership and team-level leadership. The purpose of this paper is to examine how vertical leadership facilitates shared leadership in infrastructure project teams.

This paper develops the conceptual model based on the literature review. Then the questionnaire survey was conducted. The empirical data obtained from 117 infrastructure project teams in China were analyzed by partial least squares structural equation modeling (PLS-SEM) for validating the proposed model. Finally, the results were comparatively discussed to explain the dual-pathway between vertical leadership and shared leadership. And the practical implications were presented for the project managers in infrastructure project teams.

Drawing on social learning theory and social cognitive theory, the results show that both participative leadership and task-oriented leadership can facilitate shared leadership. Further, team atmosphere fully mediates the link between participative leadership and shared leadership. Team efficacy fully mediates the relation between task-oriented leadership and shared leadership. Also, role clarity has a negative moderating effect on the former path.

The study extends the knowledge of leadership theory in the construction field. Based on the proposed conceptual model and PLS-SEM results, this study unveils the black box between vertical leadership and shared leadership and contributes to the theory of leadership on how the impact of different vertical leadership on team process promotes shared leadership.