Hemlata Gangwar, Mohammad Shameem, Sandeep Patel, Alex Koohang and Anuj Sharma
Generative artificial intelligence (GenAI) can potentially improve supply chain management (SCM) processes across levels and verticals. However, despite its promise, the…
Abstract
Purpose
Generative artificial intelligence (GenAI) can potentially improve supply chain management (SCM) processes across levels and verticals. However, despite its promise, the implementation of GenAI for SCM remains challenging, mainly due to the lack of knowledge regarding its key drivers. To address this gap, this study examines the factors driving GenAI implementation in an SCM environment and how these factors optimize SCM performance.
Design/methodology/approach
A thorough literature review was followed to identify the drivers. The resultant model from the drivers was validated using a quantitative study based on partial least squares structural equation modeling (PLS-SEM) that used responses from 315 expert respondents from the field of SCM.
Findings
The results confirmed the positive effect of performance expectancy, output quality and reliability, organizational innovativeness and management commitment to GenAI usage. Further, they showed that successful GenAI usage improved SCM performance through improved transparency, better decision-making, innovative design, robust development and responsiveness.
Practical implications
This study reports the potential drivers for the contemporary development of GenAI in SCM and highlights an action plan for GenAI’s optimal performance. The findings suggest that by increasing the rate of GenAI implementation, organizations can continuously improve their strategies and practices for better SCM performance.
Originality/value
This study establishes the first step toward empirically testing and validating a theoretical model for GenAI implementation and its effect on SCM performance.
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Manaf Al-Okaily and Aws Al-Okaily
Financial firms are looking for better ways to harness the power of data analytics to improve their decision quality in the financial modeling era. This study aims to explore key…
Abstract
Purpose
Financial firms are looking for better ways to harness the power of data analytics to improve their decision quality in the financial modeling era. This study aims to explore key factors influencing big data analytics-driven financial decision quality which has been given scant attention in the relevant literature.
Design/methodology/approach
The authors empirically examined the interrelations between five factors including technology capability, data capability, information quality, data-driven insights and financial decision quality drawing on quantitative data collected from Jordanian financial firms using a cross-sectional questionnaire survey.
Findings
The SmartPLS analysis outcomes revealed that both technology capability and data capability have a positive and direct influence on information quality and data-driven insights without any direct influence on financial decision quality. The findings also point to the importance and influence of information quality and data-driven insights on high-quality financial decisions.
Originality/value
The study for the first time enriches the knowledge and relevant literature by exploring the critical factors affecting big data-driven financial decision quality in the financial modeling context.
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Zaid Jaradat, Ahmad Mtair AL-Hawamleh and Marwan Altarawneh
The aim of this study is to investigate technological and innovation orientation contribution to the development and sustainability of the industrial sector.
Abstract
Purpose
The aim of this study is to investigate technological and innovation orientation contribution to the development and sustainability of the industrial sector.
Design/methodology/approach
The authors gathered the perspectives of many experts who were aware enough of their company’s technical and innovation orientations to participate in this study to understand how technology and innovation orientations may affect sustainability and development. These people included the company managers, accounting department heads, IT department workers and employees in the innovation department. This was accomplished by distributing a thorough questionnaire intended to gather their perspectives.
Findings
The study’s results highlight the significant positive relationship between technological and innovation orientation. Moreover, the study demonstrates that both technological and innovation orientation were found to positively impact the sustainability and development of the industrial sector.
Practical implications
This study provides practical insights for policymakers, industrial managers and innovation supporters in Jordan. Managers can use these insights to reassess technology adoption and innovation strategies. Additionally, investing in staff skills and technology readiness can boost efficiency, competitiveness and long-term growth.
Originality/value
To the best of the authors’ knowledge, this study is pioneering research to shed light on the connection between technological orientation, innovation orientation and sustainability and development in the industrial sector, providing valuable insights for policymakers and practitioners alike.
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Muhammad Yasir and Kainat Alam
This study aims to examine how employees’ perception of the ethical conduct of their leaders affects their level of green innovation and environmental performance. Therefore, this…
Abstract
Purpose
This study aims to examine how employees’ perception of the ethical conduct of their leaders affects their level of green innovation and environmental performance. Therefore, this study investigated green innovation as a mediator between ethical leadership and environmental performance, specifically within the context of Pakistani restaurants.
Design/methodology/approach
Data was collected from the frontline employees using a convenience sampling method having a sample size of 213 respondents. The hypothesized model was analyzed through structural equation modeling using SmartPLS v3 software.
Findings
This study shows a (i) positive relationship between ethical leadership and environmental performance, (ii) positive association between ethical leadership and green innovation, (iii) positive relationship between green innovation and environmental performance and (iv) green innovation mediates between ethical leadership and environmental performance.
Research limitations/implications
This research suggests that top management of the restaurants needs to focus on exhibiting ethical leadership behavior, thereby fostering green innovation practices that will improve the environmental performance of Pakistani restaurants.
Originality/value
The current study is novel as it investigates the association between ethical leadership, green innovation and environmental performance, specifically within the context of Pakistani restaurants.
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Artificial intelligence (AI) integration in the workplace yields positive outcomes, yet its impact on employees remains incompletely understood. This study aims to examine…
Abstract
Purpose
Artificial intelligence (AI) integration in the workplace yields positive outcomes, yet its impact on employees remains incompletely understood. This study aims to examine employee viewpoints regarding AI and its influence on employee career attitudes, behaviors and skill enhancement. The author examines how employees perceive AI and its impact on their career adaptability within the context of career self-management.
Design/methodology/approach
The researchers conducted hypothesis testing using AMOS; data was collected from 255 software house employees working in Pakistan. This study is time-lagged in nature. Data on AI perception was collected at time 1. After three weeks, data was collected for hypotheses related to mediation, and employees filled out a questionnaire related to career adaptability at time 3 with the interval of three weeks.
Findings
This study indicates a strong correlation between beliefs about AI dominance in the job market and increased career adaptability. The researchers discovered that career insecurity and skill development are pathways that elucidate employees’ perceptions of AI dominating their decisions regarding career adaptability.
Originality/value
This study demonstrates that AI perception has the potential to influence employees, motivating them to enhance their abilities and pursue adaptable career trajectories. The study indicates that employees’ unfavorable perceptions of AI can result in behaviors associated with career adaptability.
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Tagreed Ali and Piyush Maheshwari
Blockchain technology, renowned for its decentralization, security, reliability, and data integrity, has the potential to revolutionize businesses globally. However, its full…
Abstract
Blockchain technology, renowned for its decentralization, security, reliability, and data integrity, has the potential to revolutionize businesses globally. However, its full potential remains unrealized due to adoption barriers, necessitating further studies to address these challenges. Identifying these barriers is crucial for businesses and practitioners to effectively tackle them. This systematic review analyzed 70 eligible studies out of 1944 gathered from various databases to understand and identify common blockchain adoption barriers. The Technology–Organization–Environment (TOE) framework was the most popular theory used in these studies. Despite differences in variable definitions, financial constraints, lack of stakeholder collaboration and coordination, and social influences like resistance to change and negative perceptions emerged as the top three barriers. The supply chain domain had the highest number of studies on blockchain adoption. Notably, there was a significant increase in studies addressing blockchain adoption in 2023, comprising 34.2% of the total reviewed studies. This review provides a comprehensive overview of identified barriers, serving as a valuable foundation for future research. Understanding these challenges allows researchers to design targeted studies aimed at developing solutions, strategies, and innovations to overcome obstacles hindering blockchain adoption.
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Admire Mthombeni, Obert Sifile, Julius Tapera, Rahabhi Mashapure, Purity Hamunakwadi and Bronson Mutanda
The concept of frugal innovation has been scholarly discussed from different perspectives. It is a concept that has in the recent years been receiving much attention. In this…
Abstract
The concept of frugal innovation has been scholarly discussed from different perspectives. It is a concept that has in the recent years been receiving much attention. In this view, much of the scholarly attention has been given to the benefits of frugal innovation. However, sparse and little attention has been given to the possibilities and challenges of frugal innovation in attaining sustainable development in African Nations. Much of the work has explored the benefits of disruptive frugal innovation. Given this background, this chapter, therefore, seeks to contribute to disruptive frugal digital innovation by highlighting the challenges and possibilities frugal innovation brings in an attempt to achieve the Sustainable Development Goals (SDGs) especially SDG 1 that aims to end poverty in all forms as well as SDG 8 that aims to build resilient infrastructure, promote inclusive and sustainable industrialisation and foster innovation. Hence, this chapter aims to unleash some possibilities and challenges that can be brought by frugal innovation. Using literature analysis from 21 articles from Google Scholar, the chapter pre-empts key definitions and highlights the SDGs, the possibilities and challenges brought by frugal innovation in achieving economic and social sustainability in Africa. It is through these insights that the chapter seeks to inform theory, practice and policy in the context of SDGs in Africa.
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Ma Dolores Del Carmen Sepulveda-Nuñez, Carlos Fong Reynoso and Irving Llamosas-Rosas
This study aims to examine the effect of the board of directors (BoD) structure on environmental, social and governance (ESG) performance in publicly traded non-financial firms…
Abstract
Purpose
This study aims to examine the effect of the board of directors (BoD) structure on environmental, social and governance (ESG) performance in publicly traded non-financial firms from the perspective of agency theory, with investors as the principal, the management team as the agent, the BoD as an information system that reduces information asymmetries between them and ESG performance as a shareholder’s expectation.
Design/methodology/approach
Sample data is cross-sectional as of January 2023 and includes 1,695 non-financial firms listed in 59 stock markets across 54 countries. Data were sourced from the FactSet Research Systems database. The generalized least squares method was used to run quadratic and exponential models to assess the research hypotheses.
Findings
Results revealed that board size, independence, age, gender diversity and participation on other corporate boards have a nonlinear relationship with ESG performance. Board tenure is the only BoD attribute for which a nonlinear association is not found. This study found that firms with larger boards and more female board members tend to exhibit a stronger commitment to ESG performance. In contrast, companies with a board of directors consisting of independent members, advanced age, service on other corporate boards and CEO duality may struggle to prioritize positive ESG outcomes.
Originality/value
This study contributes to the academic discussion on BoD–ESG by examining nonlinear relationships among a large sample of publicly traded firms; providing results that could be applied internationally; using ESG data that is based on the Sustainability Accounting Standards Board's materiality framework, which identifies key ESG factors for investors; emphasizing the significance of diversity and inclusion within the decision-making bodies of public companies, thereby improving their ESG performance; and supporting the agency theory perspective and suggesting that the effect of board structure on ESG may reflect the board's focus on investors’ best interests.
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Guoli Pu and Weiting Qiao
Given the sudden disruption caused by COVID-19, knowledge sharing between organizations has become a meaningful way to improve supply chain resilience. However, there is still a…
Abstract
Purpose
Given the sudden disruption caused by COVID-19, knowledge sharing between organizations has become a meaningful way to improve supply chain resilience. However, there is still a lack of in-depth research on how to reduce the threat to knowledge sharing caused by increased levels of relational risk. With the emergence of new digital technologies, whether blockchain governance can control relational risk and replace traditional relational governance remains to be demonstrated.
Design/methodology/approach
This study uses a cross-sectional survey approach in which quantitative data are collected from 300 participants from Chinese manufacturing enterprises to test the hypotheses.
Findings
The results show that relational and blockchain governance can significantly and complementarily reduce the level of relational risk in knowledge sharing. When the relational risk is at a low, medium or high level, the best matches of relational and blockchain governance are low-level relational governance–low-level blockchain governance, high-level relational governance–low-level blockchain governance and high-level relational governance–high-level blockchain governance, respectively.
Practical implications
The findings of this study have important practical implications for manufacturing enterprises in terms of how to choose reasonable governance modes to manage relational risk behaviour according to different relational risk levels to better understand the positive role of knowledge sharing in supply chain resilience.
Originality/value
The antecedent variables of knowledge sharing in previous studies are based on transaction cost theory or relational theory and have not moved beyond the original theoretical framework. This paper addresses this limitation, puts knowledge sharing in the academic context of digital technology, considers blockchain governance into the process of relational risk-knowledge sharing and defines blockchain governance, which is a novel approach in the supply chain resilience management literature.
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This research endeavors to conduct a thorough and holistic analysis of the foundational elements that empower the cultivation of dynamic capabilities in micro, small and…
Abstract
Purpose
This research endeavors to conduct a thorough and holistic analysis of the foundational elements that empower the cultivation of dynamic capabilities in micro, small and medium-sized enterprises (MSMEs). The purpose of this study is to determine whether these capabilities have a noticeable impact on the sustainable performance of these enterprises. The study aims to support future research efforts in understanding this phenomenon by filling this knowledge gap and presenting a conceptual framework, thereby enhancing the scholarly discourse in this field.
Design/methodology/approach
The study consists of a systematic review of 126 articles meticulously chosen through a series of screening stages employing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework. This examination is conducted within the organized framework of antecedents, decisions and outcomes-theory, context and methods (ADO-TCM), ensuring a structured and comprehensive analysis.
Findings
The study uncovers significant insights, identifying four key antecedents: resource base, organizational learning, managerial expertise and external environment management. These factors are instrumental in fostering dynamic capabilities within the enterprise, leading to sustainable entrepreneurial success and a competitive advantage over rivals.
Research limitations/implications
By comprehending the mechanisms by which dynamic capabilities are established within the enterprise, this study provides a valuable resource for entrepreneurs, professionals and managers, offering them practical insights to leverage.
Originality/value
This systematic literature review is the initial attempt to explain how dynamic capabilities can be used to enhance and accomplish sustainable performance in the context of MSMEs.