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Today’s in-demand skills may not be needed tomorrow. As companies are adopting a new group of technologies, they are in huge need of information technology (IT) professionals who can fill various IT positions with a mixture of technical and problem-solving skills. This study aims to adopt a sematic analysis approach to explore how the US Information Systems (IS) programs meet the challenges of emerging IT topics.

This study considers the application of a hybrid semantic analysis approach to the analysis of IS higher education programs in the USA. It proposes a semantic analysis framework and a semantic analysis algorithm to analyze and evaluate the context of the IS programs. To be more specific, the study uses digital transformation as a case study to examine the readiness of the IS programs in the USA to meet the challenges of digital transformation. First, this study developed a knowledge pool of 15 principles and 98 keywords from an extensive literature review on digital transformation. Second, this study collects 4,093 IS courses from 315 IS programs in the USA and 493,216 scientific publication records from the Web of Science Core Collection.

Using the knowledge pool and two collected data sets, the semantic analysis algorithm was implemented to compute a semantic similarity score (DxScore) between an IS course’s context and digital transformation. To present the credibility of the research results of this paper, the state ranking using the similarity scores and the state employment ranking were compared. The research results can be used by IS educators in the future in the process of updating the IS curricula. Regarding IT professionals in the industry, the results can provide insights into the training of their current/future employees.

This study explores the status of the IS programs in the USA by proposing a semantic analysis framework, using digital transformation as a case study to illustrate the application of the proposed semantic analysis framework, and developing a knowledge pool, a corpus and a course information collection.

Despite the widespread recognition of the significance of entrepreneurial innovations in driving financial success and building firms' competitive advantage, there is a lack of empirical investigation into their impact on organizations. This research paper aims to address this gap by exploring how entrepreneurial innovations can contribute to firms' competitive advantage and the mediating role of entrepreneurial thinking in this relationship. To answer these research questions, this paper utilizes the resource-based view (RBV) of the firm and the dynamic capabilities view (DCV).

The study employed a quantitative research design, and survey data were collected from 102 chief executive officers (CEOs) of Jordanian manufacturing companies in various industries. Structural equation modeling was used to test the hypothesized relationships.

The findings of this study suggest that there is a positive and significant impact of entrepreneurial innovation and thinking on the competitive advantage of firms. The authors also found that entrepreneurial thinking positively mediates this relationship. This study’s results support the RBV and DCV perspectives, which suggest that firms need to leverage unique resources and capabilities and develop dynamic capabilities to achieve a sustained competitive advantage.

The significance of this study lies in its contribution to the literature on the relationship between entrepreneurial innovation, thinking and competitive advantage. While previous research has explored these concepts separately, this study integrates them into a comprehensive framework that highlights the mediating role of entrepreneurial thinking in the relationship between entrepreneurial innovation and competitive advantage.

In today’s competitive business landscape, organizations are increasingly recognizing the strategic advantage of implementing sustainable practices to gain a competitive edge. This study aims to investigate the effect of green artificial intelligence (AI) on achieving a green competitive advantage, examining the mediating roles of green organizational learning, green product innovation and green process innovation. Additionally, the research explores the moderating role of perceived green climate in the relationship between green AI and these mediating factors.

This research examined companies in Isfahan, Iran, that have varying levels of artificial intelligence adoption within their business processes. The target population consisted of 148 senior managers from these companies. This study uses structural equation modeling to examine the proposed model.

Green AI positively impacted green organizational learning and green process innovation but not green product innovation. In addition, the results showed that green organizational learning, green product innovation and green process innovation had positive effects on green competitive advantage. Finally, the results showed that the perceived green climate did not play a moderating role in the relationship between green AI and these mediating factors.

Organizations should prioritize green AI initiatives, foster a culture of green learning and invest in green innovation to achieve sustainable growth and outpace competitors in the environmentally conscious marketplace.

This study positions itself at the forefront of research on green AI and green competitive advantage. It offers a unique framework by examining the combined effects of green AI, green learning and both product and process innovation on achieving a sustainable competitive advantage.

This study investigates the impact of big data analytics capabilities on export performance. Moreover, it assesses the mediating effect of the supply chain innovation and moderating effect of supply chain agility.

This study is based on primary data that were collected from the manufacturing sector operating in Jordan. A total of 327 responses were used for the final data analysis. Data analysis was performed via a partial least square structural equation modeling (PLS-SEM) approach.

The results of the data analysis supported a positive relationship between big data analytics capabilities and the export performance as well as a mediating effect of supply chain innovation. It was confirmed that supply chain agility moderated the relationship of supply chain innovation and export performance.

This study developed a theoretical and empirical model to investigate the relationship between big data analytics capabilities, export performance, supply chain innovation and supply chain agility. This study offers new theoretical and managerial contributions that add value to the supply chain management literature by testing the moderated-mediated model of these constructs in the manufacturing sector in Jordan.

Given the remarkable increase in entrepreneurial activities initiated by women in the Egyptian context in addition to the scarcity of empirical studies on digital self-employment there, the authors of the present paper aim to identify what motivates women to engage in digital entrepreneurship, and to identify how those women establish their digital entrepreneurial activities.

The authors employed a qualitative research method through semi-structured interviews with 30 women entrepreneurs who own and manage digital businesses. Thematic analysis was subsequently used to determine the main ideas in the transcripts.

The authors have found that enjoying absolute independence, securing more time for family, guaranteeing an independent source of income in addition to the ease of accessing extensive online markets are the main motives behind the engagement of women in the Egyptian context in digital entrepreneurship activities. Moreover, the authors have also asserted that the minimal training and government support stimulate women entrepreneurs there to start and continue their digital business activities informally.

This paper contributes by filling a gap in entrepreneurship studies in which empirical studies on establishing and managing digital entrepreneurship among women in developing economies has been limited so far.

The aim of this paper is to discuss a selection of policy strategies, regional initiatives and market approaches to uncover the realities of twenty-first-century building energy performance. A position that market-based approaches, human influence and policy interventions are part of an ecosystem of building energy performance is presented.

An exploratory search of secondary sources spanning the last three decades was conducted. Both peer-reviewed and grey literature were included to capture a broader understanding of the discourse in literature. Research questions guided the literature search, and a data extraction tool was designed to categorise the literature. The primary limitation of this study is that only a few applications could be discussed in a condensed format.

Several challenges about the current status quo of building energy performance were identified and summarised as follows. (1) Inconsistencies in measurement and verification protocols, (2) Impacts of market approaches, (3) National policy priorities that are at variance with regional targets and (4) Ambiguous reporting on environmental impacts of energy efficiency (EE) technologies.

The practical implications of the findings in this paper for practice and research are that as part of the building energy performance ecosystem, national responses through government interventions must become adaptive to keep up with the fast-paced energy sector and social trends. Simultaneously, before market-based approaches overcome the messiness of socio-economic dynamics, institutional conditions and cultural nuances, they ought to transparently address environmental impacts and the infringement of several SDGs before they can become viable solutions to building energy performance.

This paper presents building energy performance as an ecosystem comprising human influence, market-based approaches and policy interventions which form interdependent parts of the whole. However, evidence in the literature shows that these aspects are usually investigated separately. By presenting them as an ecosystem, this paper contributes to the discourse by advocating the need to re-align building energy performance to socio-economic-political dynamics and contextually viable solutions.

Despite some academic recognition that leadership is particularly significant in reshaping the oil and gas industry’s contributions to global economic development and the sustainability of global energy supplies at affordable prices (Sharma et al., 2022), the attendant problem of how the industry’s leadership contributes towards the preservation of global environment and the maintenance of ecosystems’ balance, among other sustainability challenges, remains an academic lag. This calls for the urgent need for oil and gas companies to practice effective sustainable leadership approach at multiple organisational levels to address global environmental, economic and social challenges.

This paper adopts an interpretivist/constructivist philosophical stance, where findings have been extracted from in-depth thick descriptive qualitative research in Bahrain oil and gas industry. Companies operating within Bahrain oil and gas industry were identified as the unit of analysis. Empirical data are gathered through semi-structured interviews from senior management and analysed using thematic analysis. This paper is structured as follows: introduction, contextualisation of the UNSDGs in the oil and gas industry, literature on network leadership, research methods used to gather and analyse data from Bahrain oil and gas industry findings, contributions, limitations and trajectories for further studies.

The study’s participants argued that the emergence of transformational and Sustainable Network Leadership is essential to successfully and sustainably implementing the UN SDGs. In other words, the Sustainable Network Leadership is a contribution to the single, leadership competences approach of previous scholarship (Weber et al., 2022; Kumalo and Scheepers, 2021) partly because it evolves around the notion of positioning different network and change actors based on their capacity to lead, exchange their knowledge, effectively communicate the need to comply with SDGs and the skills to establish high density within a complex network of actors.

This study recognises its limitations in the sense that it is based on the single context of Bahrain oil and gas, and data were collected from senior management and executives only. Gathering data from a broader swathe of employees may have provided greater levels of leadership and organisational member nuances in both single and collective differences of leadership attributes.

Transformational and Sustainable Network Leadership provides a new construct in the perception (the “what”), instrumentalisation (the “how”) and theoretical re-conceptualisation of leadership within organisational change settings needing radical rethink for sustainable and successful change. The practical implications of transformational and Sustainable Network Leadership expose the way a variety of highly challenged organisational change contexts are interconnected to highlight not only their different sets of challenges but also their opportunities and the resolution mechanisms they present for organisational leaders and staff alike.

This paper identified the single, leadership competence approach as the dominant discourse in organisational change, leadership studies and presented an alternative collective set of leaders’ attributes. The less utilised network leadership concept was drawn upon to contribute network leadership attributes as a way of addressing the challenges faced by Bahraini oil and gas company leaders. Therefore, this study contributes to both network leadership, transformational leadership by expanding both domains to include organisational transformation and the leadership-of-risky change. This was done by identifying attributes and characteristics of Sustainable Network Leadership, then showing their significance as an approach to successfully and sustainably implementing the UNSDGs.

This study aims to analyse the existing literature on factors motivating higher education institutions to disclose their Sustainability Development Goals initiatives.

This study used an interdisciplinary systematic review to develop a review protocol for Sustainability Development Goals and higher education institutions-related literature. Thematic analysis was performed using NVivo Release 1.4 to generate the theme related to the motivating factors of disclosure and further analysed using content analysis.

The study identified five clusters relating to Sustainability Development Goals and higher education institutions. The main subcategory consists solely of motivating factors as the main child note. The four main factors that motivate Higher Education Institutions to disclose their Sustainability Development Goals practices are the curriculum, research activities, human resource management and collaborations in research and operations.

This paper provides an overview of factors that contribute to Sustainable Development Goals disclosure among higher education institutions with regard to their primary functions of pioneering research, providing education, exercising governance and providing external leadership. Several implications in light of multiple stakeholders are provided in the paper.

This study is among the few studies that develop a review protocol for Sustainability Development Goals and higher education institutions-related literature. The review provides international overview of the current academic debate on the topic of Sustainability Development Goals disclosure.

This study aims to explore how institutional quality impacts private capital participation in large-scale infrastructure development, particularly in public–private partnership (PPP) projects, aiming to enhance incentives for private sector involvement.

Building on new institutional theory, a triangular theoretical framework was constructed to analyze the high participation of private capital in PPP projects, focusing on seven key institutional factors. Data from 1,319 PPP projects across 36 Belt and Road Initiative (BRI) countries from 2015 to 2020 were then analyzed using a combination of necessary condition analysis (NCA) and fuzzy set qualitative comparative analysis (fsQCA) to evaluate the combined impact and interactions of these factors.

Results indicate that high private capital participation does not hinge on a single institutional quality factor but results from the synergistic influence of multiple factors. The paths leading to high private capital participation can be categorized as regulatory-led, normative-cognitive synergistic, regulatory-normative synergistic and institutional failure-led. Among these, regulatory quality plays a central role in the regulatory-led; the synergy between political stability and voice and accountability is pivotal in the normative-cognitive synergistic, and the rule of law, in combination with voice and accountability, is essential to the regulatory-normative synergistic.

This research systematically examines the multidimensional impact of institutional quality, revealing how different institutional factors interact to influence private capital’s willingness to participate and behavior. It enriches applied research in institutional economics within PPP projects and provides a new theoretical perspective and methodological framework to the scholarly community.

The well-being of employees is very crucial, especially for the survival and sustainability of the mobile telecommunication industry and thus, the deployment of flexible working arrangements becomes paramount for managers and industry practitioners to implement. This research aimed to assess the impact of flexible working arrangements on employee well-being within the mobile telecommunication industry.

Utilizing multiple linear regression analysis, the research tested hypotheses to examine the significance of the relationships. Grounded in the Border Theory of Balanced Work, the study sought to explore the relationship between flexible working arrangements, including flextime schedules, compressed workweeks and telecommuting and various dimensions of employee well-being.

The results of the study demonstrated a statistically significant positive effect of flexible working arrangements on employee well-being within the mobile telecommunication industry. It concluded that flexible working arrangements that are measured with a flextime schedule, a compressed workweek and telecommuting improve employee well-being through psychological well-being, social well-being and workplace well-being.

This research contributes to the existing body of knowledge by establishing a positive connection between flexible working arrangements and employee well-being in the context of the mobile telecommunication industry. Managers of telecommunication firms should continue with the implementation of flexible working arrangements to enhance the well-being of their employees. The study provides valuable insights for both scholars and industry practitioners, emphasizing the significance of continued implementation of flexible working arrangements to promote and sustain the well-being of employees.