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This study aims to examine a dual-pathway model that recognizes two distinct (formal and informal) but complementary mechanisms of knowledge exchanges – knowledge sharing and knowledge helping. It also investigates how team members use their limited human and psychosocial capital for prosocial knowledge effectiveness.

A survey-based approach was used to examine the hypotheses of the study. A moderated-mediation model was proposed and tested using bootstrap approach.

Knowledge sharing and knowledge helping were found to be the significant links through which human capital (capability) and psychosocial capital (motivation and efficacy) significantly predict prosocial knowledge effectiveness. Post hoc analysis suggests that human capital through knowledge sharing influences team learning, whereas the psychosocial capital through knowledge helping influences team leadership.

The present study found two distinct but complementary and yet necessary mechanisms of knowledge exchanges to be linked as the important outlay for the human and psychosocial capital to be effective in the prosocial knowledge behaviours.

The purpose of this paper is to investigate a supply chain consisting of a producer and multiple suppliers of a type of component needed for the production of a certain product. The effects of carbon emission taxes, quality of components and human inspection errors as well as the collaboration among the supply chain members are considered.

A mathematical model is formulated for a non-collaborative supply chain, and the optimal policy is shown to be the solution of a constraint optimization problem. The mathematical model is modified to the case of a collaborative supply chain and to account for inspection errors. Algorithms are provided, and a numerical example is given to illustrate the determination of the optimal policy.

This study offers a new conceptual and analytical model that analyzes the production problem from a supply chain perspective. Human resource management practices and environmental aspects were incorporated into the model to reduce risk, optimally select the suppliers and properly maximize profit by accounting for human inspection error as well carbon emission taxes. Algorithms describing the determination of the optimal policy are provided.

This study provides practical results that can be useful to researchers and managers aiming at designing sustainable supply chains that incorporate economic, environmental and human factors.

This study can be useful to researchers and managers aiming for designing sustainable supply chains that incorporate economic and human factors.

The application of knowledge management (KM) is critical to public sector firm as it is to private sector firm. However, despite its significance, the academic enquiry of KM in public sector is at its nascent stage. This forms the motivation of the present work; this paper aims to analyze and understand the intricate relationship between KM processes and public sector firm performance in terms of operational, quality and innovation performance.

A comprehensive KM processes–performance framework consisting of seven constructs (four constructs of KM processes and three constructs of KM performance) and their underlying factors was developed through an extensive literature review. The employee perceptions of these seven constructs were captured on a five-point Likert scale using a country-wide survey in the UAE public sector. The 270 valid responses captured were then used to first validate the KM framework and then test the hypothesized relationships between KM processes and KM performance.

The findings show that all four KM processes (knowledge creation, knowledge capture and storage, knowledge sharing and knowledge application and use) had a positive and significant impact on operational, quality and innovation performance of public sector in the UAE.

The findings confirm the validity and reliability of all the seven constructs and their underlying factors and the assessment framework. Overall, this study fills a gap in the literature about applying/implementing a KM framework for the public sector and therefore significantly contributes toward the theoretical advancement of the field. However, the study does acknowledge the use of perceptual measures of individual employees as a limitation instead of more objective measures to capture the impact KM processes on KM performance.

The strong and significant impact of KM processes on firm performance is expected to provide the impetus for practitioners and policymakers to implement and leverage from KM processes and improve firm performance in the public sector.

A comprehensive development, validation and assessment of a KM framework for the public sector has not been attempted previously anywhere, let alone UAE, and hence constitutes the novelty of this work.

Cloud-based enterprise resource planning (ERP) enables an organization to pay for the services they need and removes the need to maintain information technology infrastructure. The purpose of this paper is to empirically test the role of cloud-based ERP services on the performance of an organization. Here, the performance is categorized as supply chain performance and organizational performance that comprises of financial performance and marketing performance. Contingent resource-based view (RBV) theory was used to develop a theoretical framework in which supply base complexity (SBC) acts as a moderating variable on the relationship between cloud ERP and the performance.

Contingent RBV theory is used to explain the relationship between all identified variables in this paper. Partial least squares (PLS) based on structural equation modeling (SEM) is used to empirically test our theoretical framework.

The PLS-SEM analysis of 154 respondents supports the contingent RBV theory. Six hypotheses – out of the eight hypotheses formulated in this paper – are supported by data.

Given this study was conducted in India where the potential of cloud ERP has not been fully implemented yet, the results may reflect more of perceived usefulness of this technology. The authors have attempted to understand the effect of SBC as a moderator in the relationship between cloud ERP and organizational performance which may not be the only moderator affecting this relationship among other potential moderators.

This paper empirically validates the theoretical framework based on the contingent RBV theory as it mitigates the static nature of the resource-based view approach suggested in the seminal article of Barney (1991).

The purpose of this study is to examine the relationship between organisational learning and adaptive performance. Furthermore, the study investigates the moderating role of emotional intelligence in the perspective of organisational learning for addressing adaptive performance of executives employed in manufacturing organisations.

The participants were selected through purposive sampling. The study has used established scales on organisational learning, emotional intelligence and adaptive performance to collect data from the respondents. Data were analysed through structural equation modelling using linear structural model (LISREL 8.72). Moderated regression analysis was carried out through a series of hierarchical models to test the hypotheses. The authors have followed the interaction graphs recommended by Aiken and West (1991) to check the moderating effect of emotional intelligence.

The result of the study indicates a significant relationship between organisational learning and adaptive performance. The significant moderation effect was observed in the interaction graph, wherein it was found that the relationship between organisational learning and adaptive performance was stronger among the executives with high levels of emotional intelligence and weaker for those having low levels of emotional intelligence.

The present study gains significance through highlighting the role of emotional intelligence in the perspective of organisational learning and, thus, offers insights to practitioners for addressing adaptive performance of employees.

This paper aims to examine a research model that links knowledge sharing enablers, processes and outcome dimensions in law enforcement in the United Arab Emirates (UAE). It attempts to examine the impact of knowledge self-efficacy and top management support on knowledge donating and collecting. It also attempts to examine the effect of these two aspects of knowledge sharing on firm innovation capability.

This study used a quantitative approach, with data collected by questionnaire from 685 police officers in a law enforcement agency in the UAE.

Knowledge self-efficacy and top management support have a positive impact on knowledge donating and collecting. Only knowledge collecting, however, had a positive effect on firm innovation capability.

The study has significant academic and practical implications. It supports a previous research model that links enablers, processes and outcomes of knowledge sharing, and confirms them in the context of law enforcement in the UAE. It could also help law enforcement agencies to promote a knowledge sharing culture to support innovation in the UAE.

The research model is likely to be particularly valuable in knowledge-intensive organizations such as the law enforcement sector. Knowledge sharing is often overlooked by organizations in the UAE because there has to date been little research in this field.