Knowledge transfer to aid social coding: The case of Stack Overflow

Name: Knowledge transfer to aid social coding: The case of Stack Overflow
Author: Temizkan, Orçun, Kumar, R. L.

İsim	Knowledge transfer to aid social coding: The case of Stack Overflow
Yazar	Temizkan, Orçun, Kumar, R. L.
Basım Tarihi:	2024-04
Basım Yeri	- Elsevier
Konu	Gamification, Hierarchical random effect model, Knowledge transfer, Social capital, Social coding
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	0167-9236
Kayıt Numarası	35c9943c-a084-478e-9335-340816d9919a
Lokasyon	Management Information Systems
Tarih	2024-04
Notlar	Belk College of Business ; UNC-Charlotte ; U.S. Department of Commerce
Örnek Metin	Focused online question and answer (Q&A) communities aid social coding. Despite the growing importance of social coding, knowledge transfer in this context remains under-researched. Our primary objective is to understand the knowledge transfer process in this context. We conceptualize knowledge transfer as a process that is impacted by the prior knowledge transfer interactions (network) among participants and is augmented by gamification. We argue that social capital resulting from prior knowledge transfer network interactions impact answer quality. Moreover, we also argue that the relationship between social capital and answer quality is moderated by the complexity of the knowledge transferred. Hence, our models draw from multiple related research streams: online communities, knowledge transfer, social capital, and gamification. These models are empirically tested using data from Stack Overflow (SO), a popular online Q&A community that aids social coding. Our results help to understand knowledge transfer in Q&A communities that aid social coding. Moreover, our results have implications for research on other types of Q&A communities and can inform development of platforms to support online communities.
DOI	10.1016/j.dss.2024.114174
Cilt	179

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Knowledge transfer to aid social coding: The case of Stack Overflow

Yazar Temizkan, Orçun, Kumar, R. L.

Basım Tarihi 2024-04

Basım Yeri - Elsevier

Konu Gamification, Hierarchical random effect model, Knowledge transfer, Social capital, Social coding

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 0167-9236

Kayıt Numarası 35c9943c-a084-478e-9335-340816d9919a

Lokasyon Management Information Systems

Tarih 2024-04

Notlar Belk College of Business ; UNC-Charlotte ; U.S. Department of Commerce

Örnek Metin Focused online question and answer (Q&A) communities aid social coding. Despite the growing importance of social coding, knowledge transfer in this context remains under-researched. Our primary objective is to understand the knowledge transfer process in this context. We conceptualize knowledge transfer as a process that is impacted by the prior knowledge transfer interactions (network) among participants and is augmented by gamification. We argue that social capital resulting from prior knowledge transfer network interactions impact answer quality. Moreover, we also argue that the relationship between social capital and answer quality is moderated by the complexity of the knowledge transferred. Hence, our models draw from multiple related research streams: online communities, knowledge transfer, social capital, and gamification. These models are empirically tested using data from Stack Overflow (SO), a popular online Q&A community that aids social coding. Our results help to understand knowledge transfer in Q&A communities that aid social coding. Moreover, our results have implications for research on other types of Q&A communities and can inform development of platforms to support online communities.

DOI 10.1016/j.dss.2024.114174

Cilt 179