Reverse relationship between reward, knowledge sharing and performance

Blockchain Technology: Benefits, Challenges, Applications, and Integration of Blockchain Technology with Cloud Computing

The real-world use cases of blockchain technology, such as faster cross-border payments, identity management, smart contracts, cryptocurrencies, and supply chain–blockchain technology are here to stay and have become the next innovation, just like the Internet. There have been attempts to formulate digital money, but they have not been successful due to security and trust issues. However, blockchain needs no central authority, and its operations are controlled by the people who use it. Furthermore, it cannot be altered or forged, resulting in massive market hype and demand. Blockchain has moved past cryptocurrency and discovered implementations in other real-life applications; this is where we can expect blockchain technology to be simplified and not remain a complex concept. Blockchain technology’s desirable characteristics are decentralization, integrity, immutability, verification, fault tolerance, anonymity, audibility, and transparency. We first conduct a thorough analysis of blockchain technology in this paper, paying particular attention to its evolution, applications and benefits, the specifics of cryptography in terms of public key cryptography, and the challenges of blockchain in distributed transaction ledgers, as well as the extensive list of blockchain applications in the financial transaction system. This paper presents a detailed review of blockchain technology, the critical challenges faced, and its applications in different fields. Blockchain in the transaction system is explained in detail with a summary of different cryptocurrencies. Some of the suggested solutions are given in the overall study of the paper.

Effects of organizational culture, affective commitment and trust on knowledge-sharing tendency

Purpose

Prevailing corporate culture coupled with affective trust in co-workers and affective organizational commitment may promote or hinder the tendency for people to share knowledge. This study aims to determine whether knowledge-sharing tendency varies from one form of organizational culture to another by examining the concurrent mediation of affective trust in co-workers and affective organizational commitment and provide insights for appropriate knowledge-sharing initiatives.

Design/methodology/approach

Adult learners (N = 408) enrolled in the MBA and MSc postgraduate programs at five private universities in Singapore participated in a two-part self-administered anonymous survey. Data were analyzed with SmartPLS partial-least squares structural equation modeling using a two-stage analytical technique that examined the measurement and structural models.

Findings

The concurrent effects of affective trust in co-workers and affective organizational commitment complementarily mediated the relationship of organizational culture on the knowledge-sharing tendency for adhocracy, clan and market cultures but fully mediated for hierarchy culture.

Practical implications

This study provides insights for managers to understand the characteristics of their organizational culture and choose appropriate practices for improving knowledge-sharing tendency among its employees.

Originality/value

A model is established to determine the type of organizational culture that facilitates knowledge-sharing tendency. It offers new theoretical insights into how and why affective trust in co-workers and affective organizational commitment impact the relationship of organizational culture on knowledge-sharing tendency. Understanding these relationships can provide valuable insights into various strategies for different organizational cultures to increase employees’ knowledge-sharing tendency.

Mitigating knowledge-sharing risks among ICT knowledge workers in the government sector

Purpose

This study aims to assess the knowledge-sharing risks and controls in the government sector from the knowledge workers’ perspective.

Design/methodology/approach

This qualitative study combines two techniques. First, the study uses the Delphi technique to identify the risks and rank them. Second, the study used a follow-up interview approach to identify the needed controls to mitigate these identified risks.

Findings

The Delphi study revealed the top knowledge-sharing risks are related to organizational and individual risks. Furthermore, the study identified the top controls that needed to mitigate these identified risks from technology, process and people dimensions. The study findings suggested that implementing controls on people and processes is the most important, and the focus must be on them, especially in the government sector.

Originality/value

The study offers several practical implications for the government sector to establish a knowledge-sharing risks management strategy. Such study has been given little attention in previous research, especially in developing countries.

SECI Model Combined with ISO 9001 2015 to Support Organizational KM for Manual Assembly Manufacturing Operations

In a large number of industrial sectors, manual assembly manufacturing operations highly engage tacit knowledge at an individual level. Companies in these sectors need to effectively manage organizational knowledge since it represents a real performance and sustainability lever. Although knowledge management (KM) specialists developed several models, these latter remain difficult to implement due to several barriers and limitations related to industrial reality and models ambiguity. This paper proposes an organizational knowledge management (OKM) framework for manual assembly manufacturing operations that is based on ISO 9001:2015 and SECI conversion cycle. This framework offers guidance for implementing a KM approach within the quality management system (QMS) allows to manage knowledge differently with regards to its tacitness level and overcomes many of the most common KM limitations. An experimental application based on a single case research design in an aeronautical assembly company is conducted to confirm the applicability and effectiveness of the framework suggested.

Knowledge Sharing Through Enterprise Social Media in a Telecommunications Context

This study investigated the motivators knowledge workers employ when sharing knowledge though enterprise social media (ESM) in a telecommunications context. A questionnaire was distributed among knowledge workers in one of the leading telecommunication companies in the Sultanate of Oman. Based on the Structural Equation Modelling-Partial Least Squares (SEM-PLS) analysis of 100 responses from knowledge workers, results showed that technological motivators had significant effects on knowledge workers’ knowledge sharing through ESM. Further analysis based on the knowledge type indicated that technological motivators and organizational motivators significantly impact knowledge workers’ tacit knowledge sharing, whereas only technological motivators impact knowledge workers’ explicit knowledge sharing. This study provides decision makers with useful insights on the motivators of sharing knowledge through ESM and further advances knowledge workers’ learning and business operations, especially in under-investigated countries.

Exploring the impacts of network mechanisms on knowledge sharing and extra-role behavior

Purpose

This study aims to not only develop measurements of preferential attachment and homophily mechanisms based on their definitions and network theory but also examine the associations among these network mechanisms, community commitment, knowledge sharing and community citizenship behavior.

Design/methodology/approach

In total, 250 valid questionnaires are collected to examine the hypothesized associations. These hypotheses are examined by using partial least squares structural equation modeling.

Findings

The findings reveal both mechanisms are beneficial to develop new entrants’ emotional attachment to a virtual community, thereby motivating knowledge sharing and community altruistic behavior. The results contribute some practical and theoretical implications that are very helpful for the conceptualization of network mechanisms, community development, relationship management and incentives for extra-role behavior.

Originality/value

The literature on the link between network selection mechanisms and knowledge sharing remains unknown. This study is the pioneer to disclose this unknown association and examine the impacts of preferential attachment and homophily network mechanisms.