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Employees may adopt deceptive knowledge hiding (DKH) due to nonworking time information and communication technology (ICT) demands. Drawing from the conservation of resources (COR) theory, this study aims to develop and test a model of deceptive knowledge hiding (DKH) due to nonworking time information and communication technology (ICT) demands.

In total, 300 service employees have joined the three-wave surveys. Path analysis and bootstrapping methods were used to test the theoretical model.

Results suggest that knowledge requests during nonworking time could deplete employees’ resources and increase their tendency to engage in DKH, whereas work recovery and emotional exhaustion mediate this relationship. In addition, employees’ work–family segmentation preferences (WFSP) were found to moderate the direct effects of nonworking time ICT demands on employees’ work recovery and emotional exhaustion and the indirect effects of knowledge requests after working hours on DKH through employees’ work recovery and emotional exhaustion.

First, the findings of this study shed light on the relationship between knowledge requests during employees’ nonworking time and knowledge hiding, suggesting that knowledge hiding could occur beyond working hours. Second, drawing on COR theory, this study explored two joint processes of resource replenishment failure and depletion and how nonworking time ICT demands trigger knowledge hiding. Third, the interaction effect of individuals’ WFSP and nonworking time factors on knowledge hiding deepens the understanding of when nonworking time ICT demands may induce knowledge hiding through various processes.

This paper aims to analyze the role and advantages of knowledge resources in the carbon emission reduction of the industrial chain, and how it can be used to promote the carbon emission reduction of the industrial chain, so that the industry can better achieve the saving of energy and the reduction of emission.

This paper argues that the traditional resource-plundering industrial chain production method can no longer meet the needs of sustainable development of the green and low-carbon industrial chain, and builds the coupling and coordination of knowledge technology innovation drive and industrial chain carbon emission reduction mechanism, in the four dimensions of industrial chain organization, government support, internet support and staff brainstorming, put forward suggestions for knowledge resources to drive carbon emission reduction in the industrial chain.

This paper holds that the use of knowledge resource advantages can better help industrial chain enterprises to carry out technological innovation, knowledge resource digital platform construction, knowledge resource overflow and transfer, application and management of network information technology, so as to reduce carbon emission in industrial chain.

This paper contributes to the discussion about the high-quality implementation of the revitalization strategy of the industrial chain and also deepens research on the knowledge resource-driven carbon emission reduction of the industrial chain. Further, this paper enriches the role of knowledge resources in the industrial industry, and the theoretical results support the advantages of knowledge resource in the field of chain carbon emission reduction.

Building on the premise of conservation of resources theory (COR) that people protect their knowledge as a resource, the authors questioned whether the contextual nature of job resources buffers the counterintuitive positive relationship between evasive knowledge hiding (KH) and task performance.

Two multisource field survey studies were conducted to examine the moderating influence of task-job resources on the knowledge hiders' task performance. Hierarchical regression analyses tested the main effect of evasive KH on task performance. In addition, conditional process analyses were applied to examine two-way and three-way interactions of evasive KH, job autonomy and task variety.

The data analysis showed a positive relationship between evasive KH and task performance. Moreover, the authors found that employees receiving accumulative task-job resources continued to hide knowledge and used abundant resources to increase their task performance further. However, contrary to expectations, for employees—who received partial task-job resources—their task performance deteriorated when evasively hiding knowledge.

Managers and human resource practitioners should acknowledge that employees' evasive KH to co-workers is not always wrong and should not be treated like it is. Moreover, they are endorsed to pay attention and invest in job resources since job autonomy and task variety create a beneficial context for knowledge holders' task performance.

The authors provided novel theoretical (the gain-loss perspective of COR theory) and consistent empirical (confirmed by two field-study evidence) arguments for an important contextual role of an HRM practice of job design in shaping the underrepresented knowledge behavior–task performance relationship.

Managing resources is crucial for firms to gain competitive advantages and succeed, particularly for startups with limited resources. It is important to understand how digital startups in general and digital academic spin-offs (ASOs) in particular may orchestrate their resources to optimize value. This paper integrates the resource-based perspective with digital entrepreneurship to analyze the resource configurations leading to success of digital ASOs.

The paper adopts an inductive approach and applies qualitative comparative analysis (QCA) on a longitudinal dataset of digital ASOs to identify the resource configurations for a successful outcome.

The authors' paper identifies two main paths to success among digital ASOs, consisting of five distinct resource configurations. The first path is termed “market exploiters” that operate in favorable market conditions where specific technological resources and research collaboration resources are lacking. The second path involves “technology explorers” that combines both technological and commercial resources to achieve success.

By outlining distinct pathways to the success of digital ASOs, this paper contributes to the digital academic entrepreneurship literature and the resource-based view of entrepreneurial firms. The paper also suggests implications for policymakers and managers in managing resources for the success of digital ventures.

By exploring the resource configurations leading to the success of ASOs commercializing digital technologies, the paper shows that favorable market conditions and complementary resource configurations can be alternative pathways to success.

Organizations sustain competitiveness by improving product or service quality, performing efficiently or innovating. This paper aims to investigate the relationship between knowledge management (KM) and sustainable competitive advantage (SCA) in business organizations in the Kingdom of Bahrain. The KM initiatives are categorized into knowledge creation, knowledge storage, knowledge transfer and knowledge application. Employees’ attitudes toward workplace knowledge resources are derived from their perceptions of their importance, usefulness and ease of use.

This paper adopts a cross-sectional survey design. Data is collected via an electronic questionnaire developed using Google Forms. Purposive sampling used a list of 122 business organizations. Ninety responses were received and taken into consideration for data analysis.

Spearman correlation analysis and partial least square structural equation modeling revealed a positive association between KM and SCA. This study reflected a positive association between employees’ attitudes toward knowledge resources and sustaining organizations’ competitive advantages.

In Bahrain, empirical studies still need to be developed to explore KM in business organizations and investigate its association with SCA. This study aims to fill this gap by examining the relationship between KM and the sustainability of quality, efficiency and innovation-based competitive advantages in business organizations in an emerging economy context.

This study aims to explore talent retention in knowledge-intensive industries by investigating the mediating processes between the existence and application of human resource management (HRM) and employee turnover. Toward this end, drawing on the conservation of resources and job demands–resources theories, a three-dimensional model is examined, which includes the relationship between HRM, knowledge management (KM) and change management (CM), as well as their relationship with employee engagement and employee turnover intention.

The proposed research model has been studied with a sample of 168 talented employees in over six European countries, using a quantitative approach, involving the structural equation modeling method. All data were gathered by a multidimensional questionnaire via prolific, an academic crowdsourcing platform.

Results indicated that knowledge-intensive services firms may achieve higher talent retention through the interaction of HRM with KM and CM practices, which may lead to enhanced employee engagement.

Possible limitations of the study include the relatively small sample size, the self-rate questions for the collection of data and the use of cross-sectional data.

To retain their talented employees, organizations should identify ways to improve their HRM, CM and KM practices. In addition, HR practitioners ought to include their talented employees in all organizational change and KM processes and create mechanisms that successfully support knowledge acquisition, creation, sharing, retention and codification.

To the best of the authors’ knowledge, this is the first study to examine various factors of retaining talented employees in knowledge-intensive services. Furthermore, the study took place in six European countries, i.e. UK, Poland, Italy, Germany, Portugal and Greece, where the research on talent retention is very limited.

Currently, the Tang tomb mural cultural relic resources are presented in a multi-source and heterogeneous manner, with a lack of effective organization and sharing between resources. Therefore, this study aims to propose a multidimensional knowledge discovery solution for Tang tomb mural cultural relic resources.

Taking the Tang tomb murals collected by the Shaanxi History Museum as an example, based on clarifying the relevant concepts of Tang tomb mural resources and considering both dynamic and static dimensions, a top-down approach was adopted to first construct an ontology model of Tang tomb mural type cultural relics resources. Then, the actual case data was imported into the Neo4J graph database according to the defined pattern hierarchy to complete the static organization of knowledge, and presented in a multimodal form in knowledge reasoning and retrieval. In addition, geographic information system (GIS) technology is used to dynamically display the spatiotemporal distribution of Tang tomb mural resources, and the distribution trend is analysed from a digital humanistic perspective.

The multi-dimensional knowledge discovery of Tang tomb mural cultural relics resources can help establish the correlation and spatiotemporal relationship between resources, providing support for semantic retrieval and navigation, knowledge discovery and visualization and so on.

This study takes the murals in the collection of the Shaanxi History Museum as an example, revealing potential knowledge associations in a static and intelligent way, achieving knowledge discovery and management of Tang tomb murals, and dynamically presents the spatial distribution of Tang tomb murals through GIS technology, meeting the knowledge presentation needs of different users and opening up new ideas for the study of Tang tomb murals.

Technical knowledge is a key factor in firm innovation. This study aims to construct a theoretical framework of technological boundary-spanning search, exploratory innovation and exploitative innovation to help firms adjust their search strategies and improve the effect of external resources on internal innovation.

The study uses questionnaires to collect data and conducts empirical analysis using SPSS25 and AMOS24.

Technological boundary-spanning search is positively correlated with ambidextrous innovation. Additionally, knowledge base positively moderates the effect of technological boundary-spanning search on ambidextrous innovation and knowledge distance negatively moderates the effect of technological boundary-spanning search on ambidextrous innovation. When a firm’s knowledge base is robust, its ambidextrous innovation can benefit more from technological boundary-spanning search. Additionally, when the knowledge distance is less, a firm’s ambidextrous innovation can benefit more from technological boundary-spanning search.

Considering organizational ambidexterity, this study divides firm innovation into exploratory innovation and exploitative innovation and presents a theoretical framework for the effect of technological boundary-spanning search on ambidextrous innovation. Additionally, it provides a comprehensive understanding of the crucial roles of knowledge base and knowledge distance in the relationship between technological boundary-spanning search and exploratory and exploitative innovation.

Previous research has analyzed the consequence of network stability; however, little is known about how partner type diversity influence network stability in R&D network. Based on knowledge-based view and social network theory, the purpose of this paper is to unravel the internal mechanisms between partner type diversity and network stability through the mediating role of knowledge recombination in R&D network.

The authors collected an unbalanced panel patent data set from information communication technology industry for the period 1994–2016. Then, the authors tested the different dimensions of partner type variety and its relevance in the R&D network and the mediating role of knowledge recombination through adopting the multiple linear regression.

Results indicate an inverted U-shaped relationship between partner type diversity (variety and relevance) and network stability, whereas knowledge recombination partially mediate these relationships.

From the perspective of R&D networks, this paper explores that there are the under-researched phenomena the antecedent of network stability through nodal attributes (i.e. partner type variety and partner type relevance). Moreover, this paper empirically examined the mediating role of knowledge recombination in the partner type diversity–network stability relationships. The novel perspective allows focal firm to recognize importance of nodal attributes, which are critical to fully excavate the potential capabilities of cooperating partners in R&D network.

This study investigates the integration of information technology (IT) competencies with organizational inclusion initiatives and its impact on firm performance. It examines the role of organizational inclusion in promoting knowledge management capability (KMC) and the moderating effect of approach and avoidance motivation on the relationship between KMC and operational performance.

The study is grounded in the resource orchestration theory (ROT), which conceptualizes the integration of IT competencies and organizational inclusion. It employs hierarchical regression analysis on data collected from 204 firms and 374 managerial respondents to test the proposed hypotheses.

The results indicate that IT competencies enhance the relationship between organizational inclusion and KMC. Additionally, the relationship between KMC and operational performance is weaker when employees exhibit higher levels of avoidance motivation.

This study offers theoretical and managerial insights for integrating IT competencies into organizational inclusion initiatives, providing guidance for organizations seeking to enhance their performance, with a specific focus on the relevance of China as the research context.

This study enriches the scholarly discourse by examining the underexplored integration of IT competencies with organizational inclusion, notably in the context of China. It illuminates the moderating role of motivation in the KMC-operational performance relationship, benefiting both academia and practitioners. Furthermore, this work extends the literature by demonstrating how combining organizational inclusion and IT competencies can enhance workplace KMC, connecting it to internal knowledge resources. Theoretical implications extend beyond organizational inclusion and IT to show the broader application potential of ROT in management and information systems.