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Article
Publication date: 23 April 2024

Jialing Liu, Fangwei Zhu and Jiang Wei

This study aims to explore the different effects of inter-community group networks and intra-community group networks on group innovation.

Abstract

Purpose

This study aims to explore the different effects of inter-community group networks and intra-community group networks on group innovation.

Design/methodology/approach

The authors used a pooled panel dataset of 12,111 self-organizing innovation groups in 463 game product creative workshop communities from Steam support to test the hypothesis. The pooled ordinary least squares (OLS) model is used for analyzing the data.

Findings

The results show that network constraint is negatively associated with the innovation performance of online groups. The average path length of the inter-community group network negatively moderates the relationship between network constraint and group innovation, while the average path length of the intra-community group network positively moderates the relationship between network constraint and group innovation. In addition, both the network density of inter-community group networks and intra-community group networks can negatively moderate the negative relationship between network constraint and group innovation.

Originality/value

The findings of this study suggest that network structural characteristics of inter-community networks and intra-community networks have different effects on online groups’ product innovation, and therefore, group members should consider their inter- and intra-community connections when choosing other groups to form a collaborative innovation relationship.

Details

Industrial Management & Data Systems, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0263-5577

Keywords

Open Access
Article
Publication date: 11 August 2023

Michael Nii Laryeafio and Omoruyi Courage Ogbewe

Qualitative research that involves the use of human participants calls for the need to protect those participants to give their honest view during data collection. This is an…

13549

Abstract

Purpose

Qualitative research that involves the use of human participants calls for the need to protect those participants to give their honest view during data collection. This is an important part of every primary data collection in qualitative studies using interviews. This paper aims to investigate all available ethical considerations that need to be observed by the researcher when conducting primary data collection through interview and to explore the theories that underpin the ethics in qualitative studies.

Design/methodology/approach

This paper systemically reviewed existing qualitative data on ethics and gathered information that were analysed and presented on the topic area.

Findings

The findings show that ethical considerations deal with the various approaches adopted by the researcher to make the participants feel safe to participate in any given researcher. During an interview process in qualitative research, the findings show that anonymity, voluntary participation, privacy, confidentiality, option to opt out and avoiding misuse of findings are ethical considerations that must be observed by the researcher. The outcome of the investigation also shows that deontology and utilitarianism, rights and virtue are the main theories that underpin ethical considerations in research.

Originality/value

The rights of the research participants need to be respected in qualitative research to assist in gathering accurate information to achieve the objectives of study. This and other ethical principles such as anonymity, privacy, confidentiality, voluntary participation and option to opt out guide the researcher to systematically adhere to data collection approaches that yield valid results in qualitative data collection using interviews.

Details

Journal of Ethics in Entrepreneurship and Technology, vol. 3 no. 2
Type: Research Article
ISSN: 2633-7436

Keywords

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