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Knowledge management during the pandemic has been a challenging task due to the sudden intervention of technology in the organisational environment and the unexpected shift to the work-from-home culture. This study aims to investigate the role of technology intervention in the relationship between knowledge diffusion and knowledge application.

A cross-sectional study was conducted and data were collected from 541 employees who were working from home during the pandemic in India.

This study found significant relationships between knowledge diffusion and technology intervention. This study also observed the mediating role of technology intervention in the relationship between knowledge diffusion and knowledge application.

Tis study stands with other pioneering studies that have explored the role of technology intervention in the knowledge diffusion–application relationship using the job demand-resource model.

The relative recency of online, networked distance education poses a question for teachers: Do the standards that were developed for the delivery of classroom‐based education apply to this newer ‘virtual’ educational environment? The author argues that the answer is broadly ‘Yes’, but identifies a significant gap in current standards.

In the past, a plethora of studies has investigated the organizational and individual outcomes of high-performance work systems (HPWS). However, less is known about the mechanism through which HPWS impacts employees’ behavior, particularly intrapreneurial behavior (IB). Drawing on the social exchange theory, this study aims to fill this gap by investigating the mediation effect of perceived organizational support (POS) on HPWS-IB linkages.

Data were collected with the help of structured questionnaires from employees working in service industries such as banking and insurance.

HPWS was conceptualized as a higher-order measurement model that includes four lower-order dimensions, namely, information sharing, decision-making participation, job security, training and development. Partial least squares structural equation modeling technique was used to test the hypothesized relationships. Results showed a positive and significant effect of HPWS on IB. Moreover, POS significantly mediated the HPWS-IB link.

Despite an increasing number of studies on the role of human resource management (HRM) practices in enhancing innovation and creativity, there has not been enough research on how HPWS affects IB at the individual level in the presence of POS. Thus, this research is the first of its kind to investigate the mediating role of POS in HPWS-IB linkages in the Malaysian context.

While previous research has demonstrated the positive effects of digital business strategies on operational efficiency, financial performance and value creation, little is known about how such strategies influence innovation performance. To address the gap, this paper aims to investigate the impact of a firm’s digital business strategy on its innovation performance.

Drawing on the dynamic capability view, this study examines the mechanism through which a digital business strategy affects innovation performance. Data were collected from 215 firms in China and analyzed using multiple regression and structural equation modeling.

The empirical analysis reveals that a firm’s digital business strategy has positive impacts on both product and process innovation performance. These impacts are partially mediated by knowledge-based dynamic capability. Additionally, a firm’s digital business strategy interacts positively with its entrepreneurial orientation in facilitating knowledge-based dynamic capability. Moreover, market turbulence enhances the strength of this interaction effect. Therefore, entrepreneurial-oriented firms operating in turbulent markets can benefit more from digital business strategies to enhance their knowledge-based dynamic capabilities and consequently improve their innovation performance.

This study contributes to the understanding of how a firm’s digital business strategy interacts with entrepreneurial orientation in turbulent markets to shape knowledge-based dynamic capability, which in turn enhances the firm’s innovation performance.

This study aims to examine Big Data and the management of libraries in the era of the Fourth Industrial Revolution and its implications for policymakers in Nigeria.

A qualitative methodology was used, involving the administration of open-ended questionnaires to librarians from six selected federal universities located in Southwest Nigeria.

The findings of this research highlight that a significant proportion of librarians are well-acquainted with the relevance of big data and its potential to positively revolutionize library services. Librarians generally express favorable opinions concerning the relevance of big data, acknowledging its capacity to enhance decision-making, optimize services and deliver personalized user experiences.

This study exclusively focuses on the Nigerian context, overlooking insights from other African countries. As a result, it may not be possible to generalize the study’s findings to the broader African library community.

To the best of the authors’ knowledge, this study is unique because the paper reported that librarians generally express favorable opinions concerning the relevance of big data, acknowledging its capacity to enhance decision-making, optimize services and deliver personalized user experiences.

The purpose of this study is to review the role of knowledge management (KM) in disaster management and crisis. Disaster causes many detrimental impacts on human lives through loss of life and damage to properties. KM has been shown to dampen the impact of the disaster on the utilization of knowledge among agencies involved and the local communities impacted by disasters.

Through a bibliometric methodology (co-citation, bibliographic coupling and co-word analysis), this study presents significant themes in the past, current and future predictions on the role of KM in disaster management. In this review paper, 437 publications were retrieved from the Web of Science and analyzed through VOSviewer software to visualize and explore the knowledge map on the subject domain.

Findings suggest that the significant themes derived are centralized to disaster preparedness during disaster and disaster postrecovery. This review presents a state-of-art bibliometric analysis of the crucial role of KM in building networks and interconnection among relevant players and stakeholders involved in disaster management.

The main implication of this study is how the authorities, stakeholders and local community can integrate the KM system within the three stages of disasters and the crucial role of technologies and social media in facilitating disaster management.

To the best of the authors’ knowledge, this is the first study to present a bibliometric analysis in mapping KM’s past, present and future trends in disaster management.

Despite the escalating significance and intricate nature of supply chains, there has been limited scholarly attention devoted to exploring the cognitive processes that underlie supply chain management. Drawing on cognitive-behavioral theory, the authors propose a moderated-mediation model to investigate how paradoxical leadership impacts manufacturing supply chain resilience.

By conducting a two-wave study encompassing 164 supply chain managers from Chinese manufacturing firms, the authors employ partial least squares structural equation modeling (PLS-SEM) to empirically examine and validate the proposed hypotheses.

The findings indicate that managers' paradoxical cognition significantly affects supply chain resilience, with supply chain ambidexterity acting as a mediating mechanism. Surprisingly, the study findings suggest that big data analytics negatively moderate the effect of paradoxical cognition on supply chain ambidexterity and supply chain resilience, while positively moderating the effect of supply chain ambidexterity on supply chain resilience.

These findings shed light on the importance of considering cognitive factors and the potential role of big data analytics in enhancing manufacturing supply chain resilience, which enriches the study of behavioral operations.

The results offer managerial guidance for leaders to use paradoxical cognition frames and big data analytics properly, offering theoretical insight for future research in manufacturing supply chain resilience.

This is the first empirical research examining the impact of paradoxical leadership on supply chain resilience by considering the role of big data analytics and supply chain ambidexterity.

This chapter makes the case that school-related material and informally used content need to be considered equally important as complete, higher education (HE)-level courses when exploring how open education (OE) is used in practice. It provides a brief overview of several key HE and school-related OE projects, what they offer, their approximate reach and the significance of established brands, with short case studies of TES Connect, Khan Academy and TESSA. It also examines the evidence of impact on students, and how some of the projects counter criticism that they promote ‘closed’ forms of traditional, instructor-led education through blended and flipped teaching approaches or peer-led learning.

The purpose of the chapter is to explore how OE sites are used in practice by examining some of the key projects that provide free materials to students and teachers.

This chapter provides an overview of some of the biggest OE providers online, drawing particular attention to those that provide school-level material instead of just HE-level resources. It examines the motives of open education resources (OER) users, and provides mini case studies of a selection of HE-level and school-level projects. It also explores the reach and impact of the schemes, the significance of brand and the criticism that they simply provide a new form of ‘closed’ education. This provides a handy overview of key OE projects and an introduction to the significance of school-related projects. It should be a source of material of special interest to those involved in teacher training or development, or in OE from either a school or a university.

This chapter makes an original case for school teachers to have greater recognition in the discussion about OE, and reveals a finding from an international poll of more than a quarter of million teachers who use OE resources with their students.

Findings of this chapter indicate that the significance of school-level OE has been underestimated, given the extent of user-generated teaching material available and teachers’ powers to multiply the reach of a single downloaded resource to several classes of students.

The overview however is not exhaustive, and the author stresses the problematic nature of attempting to compare projects that deliver different kinds of content for different contexts.

Taking an organizational perspective, this paper aims to understand how organizations respond to such strong and concurrent societal effects, and to answer the question, “How should researchers conceptualize the symbiotic relationship between society and business during a catastrophic societal event?”

The authors highlight through numerous examples, the impact of COVID-19 on society is well-evidenced in the research. They also draw on such evidence of the effects of catastrophic societal events like COVID-19 to support the appropriateness of this conceptualization.

The authors found that organizations that use both short- and long-term activities concurrently are better able to tackle the concurrent short- and long-term effects of catastrophic events like COVID-19.

The authors use ambidexterity theory, supported by evidence derived from organizational responses to COVID-19, to offer a new and more comprehensive conceptualization that frames the concurrent and interrelated short-term and long-term organizational response to a catastrophic societal event. Further, they highlight the importance of studying such organizational responses in the context of the organization’s referent groups.

This paper aims to enrich the scholarly discourse on learning within small social entrepreneurial organisations by examining how leadership can facilitate conditions conducive to collective learning during crises.

A longitudinal single-case study was conducted on a social entrepreneurial organisation in Sweden, operating within the integration field. The study involved comprehensive interviews and observations. Using a longitudinal approach facilitated an in-depth analysis of the organisation’s development over time.

The findings underscore that shifts in leadership can significantly influence collective learning. Specifically, the results suggest that establishing trust between the CEO and team members is a pivotal factor in cultivating conditions for collective learning and fostering the related processes, which persisted even during the pandemic. This trust catalysed inclusive and interactive actions that encouraged team members’ participation in day-to-day decision-making and strategic planning. Consequently, the organisation successfully leveraged its diverse knowledge resources, promoting knowledge sharing and experience exchange, crucial components of successful collective learning.

This paper advocates for a departure from conventional leadership perspectives, proposing that a focus on team–leader relationships – a form of leadership in practice – can offer valuable insights into cultivating collective learning. This approach underscores the significance of collaboration and engagement among team members in promoting collective learning and accentuates the role of leadership in creating these conditions.

The examples provided on structuring, organising and leading virtual meetings could offer valuable insights for leaders. With the increasing adoption of hybrid workplaces combining remote and office environments, communication challenges within teams may arise. Therefore, these examples can aid leaders in formulating effective communication strategies that bridge the gap between remote and in-person team members, ensuring that everyone stays informed and engaged.

This study seized a unique opportunity to explore how leadership can create favourable conditions for collective learning during crises by collecting data both before and during the Covid-19 pandemic.