Search results

1 – 2 of 2
Article
Publication date: 17 July 2024

Makhmoor Bashir, Rayees Farooq and M. Muzamil Naqshbandi

Despite the growing literature on business model innovation (BMI) and its implications for firm performance, the research on the antecedents of BMI is still at a budding stage…

Abstract

Purpose

Despite the growing literature on business model innovation (BMI) and its implications for firm performance, the research on the antecedents of BMI is still at a budding stage. Therefore, the purpose of this paper is to bridge this gap by examining the causal relationships between knowledge management, BMI, competitive advantage, and firm performance.

Design/methodology/approach

A purposive sample of 300 micro, small, and medium enterprises was collected with more than 500 employees and total revenue between 50 and 500 million Indian Rupees, according to the Development Act, 2005. The collected data were analyzed using structural equation modeling through smart PLS 3.

Findings

The study’s findings show that knowledge management significantly influences BMI. This study also highlights the synergic impact of Knowledge management and BMI on firm performance. Furthermore, findings highlight the mediating role of competitive advantage in the relationship between knowledge management, BMI, and firm performance.

Practical implications

Understanding the impact of BMI and knowledge management is crucial for business owners, managers, and other stakeholders to plan for the continuous improvement of their businesses. Managers can secure a favorable position in the competitive market and improve organizational performance by paying attention to effectively managing their knowledge resources.

Originality/value

The study is one of the first few empirical efforts to investigate the causal relationships between knowledge management, BMI and firm performance. The study adds to the scant literature in this area by highlighting the mediating role of competitive advantage.

Details

Business Process Management Journal, vol. 30 no. 7
Type: Research Article
ISSN: 1463-7154

Keywords

Article
Publication date: 12 October 2022

Md. Zahidul Islam, M. Muzamil Naqshbandi, Makhmoor Bashir and Nurul Amirah Ishak

This study aims to develop a framework that demonstrates the role of social capital in alleviating knowledge hiding behaviour in organisations while also considering the…

Abstract

Purpose

This study aims to develop a framework that demonstrates the role of social capital in alleviating knowledge hiding behaviour in organisations while also considering the moderating roles of perceived organisational politics and the perceived value of knowledge in this process.

Design/methodology/approach

The authors conducted a systematic literature review of research papers on the topic of knowledge hiding to develop a framework for mitigating knowledge hiding.

Findings

This paper conceptualises social capital into three interrelated dimensions (e.g. structural, cognitive and relational). Based on the findings of the review, all the three social capital dimensions can potentially mitigate an individual’s propensity towards knowledge hiding. Additionally, the paper integrates two potential moderators: perceived organisational politics and perceived value of knowledge, which could undermine the outcomes of social capital in mitigating knowledge hiding.

Research limitations/implications

Although the proposed framework may provide preliminary insights to practitioners and scholars, one of its key limitations is that it is conceptual. Future empirical research is needed to validate the proposed framework.

Originality/value

Existing research has focused on studying the antecedents and consequences of knowledge hiding. However, scant scholarly work explores how such behaviour can be mitigated. This paper addresses this gap and contributes to understanding how organisations can alleviate the prevalence of knowledge hiding by developing their social capital and by focusing on contextual factors.

Details

VINE Journal of Information and Knowledge Management Systems, vol. 54 no. 6
Type: Research Article
ISSN: 2059-5891

Keywords

Access

Year

Last 3 months (2)

Content type

1 – 2 of 2