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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.

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.

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.

This study underscores the critical importance of well-functioning sewer systems in achieving smart and sustainable urban drainage within cities. It specifically targets the pressing issue of sewer overflows (SO), widely recognized for their detrimental impact on the environment and public health. The primary purpose of this research is to bridge significant research gaps by investigating the root causes of SO incidents and comprehending their broader ecological consequences.

To fill research gaps, the study introduces the Multi-Phase Causal Inference Fuzzy-Based Framework (MCIF). MCIF integrates the fuzzy Delphi technique, fuzzy DEMATEL method, fuzzy TOPSIS technique and expert interviews. Drawing on expertise from developed countries, MCIF systematically identifies and prioritizes SO causes, explores causal interrelationships, prioritizes environmental impacts and compiles mitigation strategies.

The study's findings are multifaceted and substantially contribute to addressing SO challenges. Utilizing the MCIF, the research effectively identifies and prioritizes causal factors behind SO incidents, highlighting their relative significance. Additionally, it unravels intricate causal relationships among key factors such as blockages, flow velocity, infiltration and inflow, under-designed pipe diameter and pipe deformation, holes or collapse, providing a profound insight into the intricate web of influences leading to SO.

This study introduces originality by presenting the innovative MCIF tailored for SO mitigation. The combination of fuzzy techniques, expert input and holistic analysis enriches the existing knowledge. These findings pave the way for informed decision-making and proactive measures to achieve sustainable urban drainage systems.

The purpose of this study is to test the antecedent factors that directly influence accounting information systems (AIS) usage, which, in turn, affects net benefits of AIS usage, drawing upon the technology acceptance model (TAM) in the context of Jordan.

To test the suggested research model, an online questionnaire was employed to collect data from 213 owners in Jordanian small and medium-sized enterprises (SMEs). The data were analyzed utilizing bootstrapped procedure by the partial least Squares-structural equation modeling (PLS-SEM).

Out of ten postulated hypotheses, eight were accepted. Mainly, the empirical outcomes confirm the suggested hypotheses that the perceived usefulness (PUS) of AIS is positively and significantly impacted by perceived convenience (PCN) and perceived ease of use (PEU). Besides, the outcomes confirm that AIS usage is significantly influenced by PUS, PEU and perceived compatibility (PCM). Finally, the net benefits of AIS are positively influenced by AIS usage and information technology (IT) knowledge, whereby it was revealed that IT knowledge has a direct and indirect effect.

This study addresses a vital research gap in the literature by suggesting a comprehensive research model that can help garner enhanced usage of an AIS to obtain a better achievement among Jordanian SMEs performance.