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The need to advance in the understanding of the processes associated with knowledge creation and diffusion is becoming critical for policy‐making and for management. This understanding was emphasized during the First International Conference on Technology, Policy and Innovation, based on which a research agenda is developed to inform policy‐making and management decisions in the emerging knowledge‐based economy. Three main directions for research are proposed: the development of a better conceptual understanding of the mechanisms that make knowledge so relevant nowadays; the construction of indicators associated with the immaterial aspects of the knowledge‐based economy; and the study of the opportunities and threats faced by developing nations.

This study aims to examine the association of knowledge-oriented leadership (KOL), knowledge management (KM) behaviour and innovation performance in project-based small and medium-sized enterprises. It investigates the moderation of goal-orientation in the relationship of KOL with knowledge-acquisition, transfer, documentation and application.

Data are collected from 215 employees in 32 small project-based software firms in Pakistan. Partial least square is used to test the hypotheses.

KOL is positively associated with KM behaviour and innovation performance. KM mediates the relationship of KOL and innovation performance. Furthermore, goal orientations play a moderating role in the relationship of KOL with knowledge acquisition, transfer and application activities.

This study extends the literature on knowledge-based dynamic capabilities, by examining the relationship of KOL, KM behaviour and project-based innovation performance. Investigating the moderation of goal-orientation in the relationship of KOL with KM behaviour is also an original contribution.

This study aims to investigate the relevance of knowledge-oriented leadership (KOL) to technology standard innovation (TSI) from a temporary-team perspective. The mediating and moderating effect on knowledge integration (KI) and leader–member exchange (LMX) is emphasized.

The conceptual model is built based on an exhaustive literature review and is empirically tested in terms of a sample of 341 Chinese individuals with TSI experience. Quantitative analysis was performed using a questionnaire with the bootstrapping method used to demonstrate the mediating effect of KI.

The empirical results of this study prove that KI mediates the relationship between KOL and TSI. The authors deduce that LMX moderates the positive relation between KOL and KI.

Few studies have investigated the innovation activities of technology standards from a temporary-team perspective. To the best of the authors’ knowledge, this is the first study to look into the underlying mechanism of KOL in TSI. This research deepens the analysis by introducing LMX’s moderating role in the innovation process of technology standards, thereby providing valuable insights for leaders of innovation activities of technology standards and illuminating new aspects of knowledge-intensive temporary-team management.

In the wake of the COVID-19 outbreak understanding the behavioral dynamics and role of knowledge-oriented leadership (KOL) in driving knowledge worker performance (KWP) is paramount for organizations striving to adapt and thrive in the post-pandemic era. Drawing on the path-goal theory, this study explores the impact of KOL on KWP. In addition, this study seeks to examine both the direct and indirect influences of KOL on KWP via digital orientation (DO) and digital citizenship practices (DCP), especially for higher education institutions (HEIs) located in China.

The sample consisted of 319 academic staff from HEIs in China. The study used Smart-PLS 4.0 for analytical examination.

The results indicate that the impact of knowledge-oriented leadership on KWP is negligible. Furthermore, DCP and DO partially mediate the relationship between KOL and KWP. The findings of this research have practical implications for Chinese HEIs and organizations across industries, providing insights into how to navigate the complexities of the post-pandemic work environment and effectively harness digitalization to optimize the KWP.

The implications of this research extend beyond the HEIs, providing organizations in various industries with evidence-based strategies to promote effective leadership, foster digital skills, and cultivate a culture of digital citizenship in the post-pandemic work landscape.

Despite the increasing significance of KOL in the higher education sector, there is a dearth of studies establishing a relationship between KOL and KWP in HEIs. The present study seeks to fill this gap by examining the association among KOL, KWP, DO, and DCP in HEIs during the post-pandemic. This research provides significant contributions to the existing literature on the topic by scientifically exploring the association between KOL and KWP by examining the intervention mechanism of both digital citizenship practices and digital orientation.

The aim of this study is to investigate technological and innovation orientation contribution to the development and sustainability of the industrial sector.

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.

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.

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.

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.

This study examines the mediating roles of the three dimensions of business intelligence (sensing capability, transforming capability and driving capability) in the relationship between the three dimensions of big data analytics capability (big data analytics management, technology and talent capabilities), and radical innovation among Chinese manufacturing enterprises.

A theoretical framework was developed using the resource-based view. The hypothesis was tested using empirical survey data from 326 Chinese manufacturing enterprises.

Empirical results show that, in the Chinese manufacturing context, business intelligence sensing capability, business intelligence transforming capability and business intelligence driving capability positively mediate the impact of big data analytics capability on radical innovation.

The results offer managerial guidance for leaders to properly use big data analytics capability, business intelligence and radical innovation as well as offering theoretical insight for future research in the manufacturing industry’s radical innovation.

This is among the first studies to examine three dimensions of big data analytics capability on the manufacturing industry’s radical innovation by considering the mediating role of three dimensions of business intelligence.

The purpose of this study is to examine big data capability's impact on product improvement and explore supply chain dynamics including relationship building and knowledge sharing as important contribution to big data capability.

The research model is tested with survey data. Data analysis results empirically support the proposed model and the hypothesized relationships between the concepts.

First, the hypothesis testing results of this study show that big data capability directly enhances product improvement. Second, this study shows that supply chain relationship building and knowledge sharing are positively related to the development of big data capability.

In supply chain management, there are multiple factors, besides relationship building, that serve as conditioners to knowledge sharing's effect on product performance. We only examined the role of relationship building in this area.

Findings from this research encourage firms to take advantage of their supply chain resources to develop a big data capability that positively contributes to firm performance.

The contribution lies in that it brings to light this step that connects big data capabilities and market and financial performance, which is missing in prior research. This study contributes to the literature by identifying supply chain management activities, more specifically, supply chain relationship building and knowledge sharing, as antecedents to big data capability. This helps to extend this emergent enterprise of big data research to a new area and points to new directions for future research.

This systematic literature review aims to explore the adoption, global acceptance and implementation of human resources (HR) analytics (HRA) by reviewing literature on the subject. HRA adoption can assist HR professionals in managing complex procedures and making strategic human resource management (SHRM) decisions more effectively. The study also aims to identify the applications of analytics in various disciplines of management.

The review is conducted using a domain-based structured literature review (SLR), emphasizing the diffusion of innovative thinking and the adoption process of HRA among early adopters. The philosophical stances are analyzed with the combination of research onion model and PRISMA protocol. Secondary data are gathered from published journals, books, case studies, conference proceedings, web pages and media stories as the primary source of information.

The study finds that skilled professionals and management assistance can significantly impact adoption intentions, enabling professionals to deal with analytics. The examples and analytical models provided by early adopters allow managers to manage complex processes and make SHRM decisions.

The study suggests that the lack of use of quantitative techniques is a key limitation and should be considered in future studies. Despite the rise in the number of research papers on HRA, its application in the workplace remains limited.

This research can assist managers in implementing HRA and help resolve complex and inefficient processes, making SHRM decisions.

This study adds to the existing body of knowledge on how HRA can aid a company's efficacy and performance and can be considered one of the first to link adoption and HRA.

This study aims to examine the necessity effects of big data analytics capabilities (BDAC) on decision-making performance (DMP), particularly in the public sector.

The authors used the combined methods of partial least square structural equation modeling (PLS-SEM) and necessary condition analysis (NCA) to test the hypothesized relationships.

The findings show that the presence of all three BDAC (infrastructure, management and personnel) is significant and necessary to achieve higher levels of DMP. Specifically, the results revealed big data management capabilities to be of higher necessity to achieve the highest possible DMP. The findings provide public-sector practitioners with insights to support the development of their BDAC.

Time-sensitive domains such as the public sector require insight and quality decision-making to create public value and achieve competitive advantage. This study examined BDAC in light of the combined methods of (PLS-SEM) and NCA to test the hypothesized relationships in the public sector context.

The advancement of human knowledge is the result of evolution of human capabilities for absorbing, developing and processing human intelligence, and perhaps just as equally, on the human capability to develop symbols and artifacts for assisting in the creation, diffusion and sharing of knowledge. These artifacts not only have evolved in their sophistication and ability to help human knowledge enterprise, but also they have become embedded in the knowledge networks and the global knowledge enterprises. The universal knowledge architecture today can be best represented as a set of interconnected networks linking the neural networks of our brain with our organizational, institutional, professional and societal networks, and the networks of knowledge artifacts. Within this context the knowledge enterprise is viewed as a sustaining quest for sense making through the human to human process for scaffolding of knowledge where the knowledge artifacts play quintessential and inseparable roles. The effectiveness of our efforts in developing and implementing the knowledge artifacts or management tools depends to a large extent on our ability to refocus the design context of these tools as artifacts, from an information centric paradigm to one of knowledge within the context of a sense‐making paradigm.