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Aiming to resolve cross-cultural paradoxes in combining artificial intelligence (AI) with human intelligence (HI) for international humanitarian logistics, this paper aims to adopt an unorthodox Yin–Yang dialectic approach to address how AI–HI interactions can be interpreted as a sophisticated cross-cultural knowledge creation (KC) system that enables more effective decision-making for providing humanitarian relief across borders.

This paper is conceptual and pragmatic in nature, whereas its structure design follows the requirements of a real impact study.

Based on experimental information and logical reasoning, the authors first identify three critical cross-cultural challenges in AI–HI collaboration: paradoxes of building a cross-cultural KC system, paradoxes of integrative AI and HI in moral judgement and paradoxes of processing moral-related information with emotions in AI–HI collaboration. Then applying the Yin–Yang dialectic to interpret Klir’s epistemological frame (1993), the authors propose an unconventional stratified system of cross-cultural KC for understanding integrative AI–HI decision-making for humanitarian logistics across cultures.

This paper aids not only in deeply understanding complex issues stemming from human emotions and cultural cognitions in the context of cross-border humanitarian logistics, but also equips culturally-diverse stakeholders to effectively navigate these challenges and their potential ramifications. It enhances the decision-making process and optimizes the synergy between AI and HI for cross-cultural humanitarian logistics.

The originality lies in the use of a cognitive methodology of the Yin–Yang dialectic to metaphorize the dynamic genesis of integrative AI-HI KC for international humanitarian logistics. Based on system science and knowledge management, this paper applies game theory, multi-objective optimization and Markov decision process to operationalize the conceptual framework in the context of cross-cultural humanitarian logistics.

The study aims to assess the effectiveness of engaging tutors in designing and using ICT integrated lesson activities in strengthening their pedagogical use of ICT competences.

Survey data from an intervention group of 70 tutors from two teachers colleges (TCs) were used to compare their level of ICT competences and domains of professional practice before and after the intervention. Document analysis, lesson observations and feedback from the learning management system (LMS) were used to describe tutors’ experiences from the intervention.

There was a statistically significant increase in tutors’ level of pedagogical use of ICT competences and domains of professional practice associated with hands-on practice in designing and implementing the intervention.

The intervention focus on hands-on practice, actual teaching and learning needs, and the use of active learning strategies like flipped classroom and the LMS, were useful means for tutors to make sense of pedagogical use of ICT competences.

The results offer useful insights to teacher education institutions and policymakers on how to prepare professional learning and supportive policies to enhance teaching and learning with ICT for addressing the learning needs of the subject matter.

Creating 16 ICT integrated lesson activities helped tutors to learn pedagogical use of ICT competences by doing. Use of such intervention could be a useful strategy in teacher education institutions to reposition ICT competence development from reproducing technological competences toward developing knowledge creators who could innovate their pedagogical practice with support from mentors, digital learning resources and networks.

The purpose of this study is to offer the bibliometric analysis of the Journal of Knowledge Management (JKM) to understand how the literature has developed over time.

This study used bibliometric approaches to analyze a sample of 669 studies from 1997 to 2021. This study focused on performance analysis and scientific mapping of articles using the R package.

The results indicate that the number of publications during the period has significantly increased which shows a growing interest of researchers in the JKM. This study highlights new emerging themes such as change management, change readiness, product innovation and digital libraries which uncover exciting avenues for new research opportunities. USA and UK were the most productive countries in terms of the number of citations followed by few European countries including Spain, Finland, Germany and Sweden. However, it is worth noting that India was the most productive country in the emerging economies.

This study will act as a guide for researchers of various fields to evaluate the development of scientific publications in a particular theme over time, especially for those who are in the field of knowledge management (KM).

This study aims to accomplish the systematic bibliometric analysis of the JKM for more than two decades, providing useful insights into the key developments in the field of KM. This study is more rigorous and comprehensive in terms of the analytical techniques used.

The application of good buildability practices is vital for improving the performance of projects and businesses in the construction sector. Despite the plethora of research into buildability in construction in the previous years, there is little information concerning how buildability practice can be successfully implemented. This paper aims to develop a conceptual framework that explains how buildability practice can be implemented successfully in the construction industry.

The paper uses an integrative literature review method to synthesise literature from different domains to describe various themes by which buildability assessment can be successfully implemented in the construction industry.

The findings of the review of literature conceptualised a buildability implementation framework at four principal themes: buildability attributes for improving the practice of construction management, factors supporting the implementation of buildability assessment, measures for improving the buildability of building designs and factors impeding the implementation of buildability assessment.

The outcome of this study contributes to knowledge in three different ways. First, the framework emerging from this study provides guidance to stakeholders on strategies for the successful implementation of buildability. Second, the information gathered in this study is useful for the development of buildability assessment tool. Finally, the framework has a potential of improving the practice of embedding buildability into designs. The detailed descriptions of the relevant variables at each principal theme advance the understanding of buildability in the construction industry and are fundamental to developing buildability assessment tools for the industry.

This paper aims to address the challenges knowledge actors face when using knowledge codifiability to develop common interests. The challenge is compounded when actors with diverse knowledge domains depend on each other to complete tasks, and, simultaneously, update their knowledge to address novelty in the organizational environment.

Given this context, this paper studies the impact of two moderating variables, systems dependence (Z) and novelty (W), on the relationship between knowledge codifiability (X) and common interests (M). This study also examines whether common interests (M) mediate the relationship between knowledge codifiability (X) and knowledge transfer (Y). To test the hypotheses, the authors collected data from 163 entrepreneurs in the southwest USA.

The results demonstrate that novelty in the knowledge domain of actors provides a supporting context for knowledge codifiability to develop common interests, but only when actors’ dependence on each other to complete tasks is at low to medium level. Moreover, the results also provide evidence that common interests mediate the relationship between codifiability and ease of knowledge transfer.

Using the results, this study provides a decision-making framework for managing tasks based on system dependence and novelty level.

Robotic Process Automation (RPA) is a digital transformation tool that demonstrated tremendous growth in research output as well as its application in the past decade. This study attempts to identify essential research gaps and proposes future research agendas in the field by analyzing publishing trends, major stakeholders (authors, countries, affiliations, journals), key clusters and evolving themes by mapping the most recent research (2016–2022) in the field.

Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) was used to retrieve a total of 244 publications from the Web of Science (WOS) database for this analysis. The study then uses the open-source R program bibliometrix to conduct bibliometric analysis. A variety of tools and methods including collaboration network, word dynamics, co-occurrence network, thematic map and strategy map were utilized.

The analysis reveals the most influential stakeholders (country: the USA, author: Arai K, affiliation: Christ Deemed University), main clusters of intellectual structure (process mining, digital transformation, blockchain, information systems) and the evolution of themes (model innovation, artificial intelligence, big-data, design science and user acceptance) in the subject.

This study uses bibliometric analysis to provide a comprehensive overview of RPA literature which unravels the conceptual structure of the stream and proposes a research agenda for the future. Based on the growth of themes and the strategy map, this study may assist entrepreneurs and practitioners in determining field priorities for strategizing process innovation.

Customer firms and suppliers are valuable knowledge resources that can be used for achieving superior new service development (NSD) performance. This study aims to investigate how supply chain relationship quality (SCRQ) and knowledge sharing promote the success of NSD, and examines service modularity as an important contingency factor that enhances NSD performance in supply chains.

Based on service-dominant logic, this study builds a conceptual model to empirically explore the impacts of SCRQ and knowledge sharing on NSD performance, and highlights the moderating effect of service modularity by means of survey methodology of 295 Chinese service firms to test the research hypotheses.

Regression analysis results show that SCRQ has significant positive effects on knowledge sharing and NSD performance; knowledge sharing plays a partial intermediary role between SCRQ and NSD performance; and service modularity partially moderates the relationships between SCRQ, knowledge sharing and NSD performance.

Generalizations here are limited to Chinese service firms. Service modularity in manufacturing firms experimenting with servitization has yet to be examined and provides a good avenue for future research.

This study contributes to service management literature by providing empirical understanding of how service modularity affects NSD performance in multiprovider contexts. Furthermore, this study offers novel insights on the impacts of inter-firm relationship quality and knowledge sharing in modular collaborative innovation.

The purpose of the study is to identify how knowledge management processes impact innovation performance in the Jordanian medical sector (private hospitals) as well as identify how big data analytics moderates this performance.

Two hundred ninety-one questionnaires were analyzed for the purpose of this study. A structural equation model (SEM) was used to test convergence validity, discriminant validity and reliability. In order to analyze the data, bootstrapping was used.

The empirical results showed that all knowledge management processes are statistically significant in influencing innovation performance. Furthermore, big data analytics moderates the relationship between knowledge management processes and innovation performance.

The results of this cross-sectional study are limited to one country and one industry due to methodological limitations, and the results represent a snapshot at a particular point in time.

Jordan's medical leaders will benefit from this study, since it emphasizes the importance of knowledge management processes to enhance innovation performance, especially given the importance of big data analytics in the field, increasing innovation capabilities in the medical field, thereby increasing innovation levels.

Creativity and productivity are important factors for corporate and government institutions in the COVID-19 era. As a result, there is an urgent need to ensure that construction projects can recover adequately to survive potential surges or even potential epidemics. Therefore, this study aims to explore social capital by examining the effect/impact of knowledge creation on construction performance in the COVID-19 era.

A simple random sampling approach focused on Ghanaian construction firms was used. Completed responses were obtained and analyzed from employees who had tasks on sites. SmartPLS 3.3.3 and Statistical Package for Social Sciences v. 26 was used.

One key finding from this research was that construction firms with solid social capital built by their management staff are more connected and have better adaptive systems than firms with low capital. A company’s development programs must concentrate not only on the development of targeted or selective know-how and professional abilities but also on capacity creating, collaboration and knowledge creation and sharing among its employees.

Using this study’s findings, construction professionals can develop successful solutions to the COVID-19 epidemic and future emergencies. Additionally, the comprehensive exposition of the implications, constraints and preventive methods in this study may enable scholars to discover current gaps in the literature and investigate other elements of the pandemic’s influence on the construction industry.

This study aims to underline the importance of addressing gender issues in family firms. It reinvigorates research in this field by revealing its current state, identifying research gaps and suggesting future agendas.

A bibliometric approach using a co-word analysis of 376 papers from the Web of Science database and their 885 keywords was performed to reveal the thematic structure of gender and family firm research, research topics, associations among them and their evolution over the last 30 years (1991–2021).

This review provides an extensive literature base and suggests research topics that facilitate the adoption of a gendered lens in family firm literature and business practice.

This review demonstrates how gender issues are intertwined with management, leadership and family firm approaches. Our observations inform scholars, policymakers and practitioners on the need to integrate gender issues into organizational culture and to connect empowerment strategies with the sociocultural environment.

This study shows the need to address women’s empowerment in business, considering different sociocultural contexts in addition to a Western focus. It also calls for embracing gender and feminist perspectives in research.