scholarly journals Enacting Clan Control in Complex IT Projects: A Social Capital Perspective

MIS Quarterly ◽  
2012 ◽  
Vol 36 (2) ◽  
pp. 577 ◽  
Author(s):  
Chua ◽  
Lim ◽  
Soh ◽  
Sia
2018 ◽  
Vol 30 (2) ◽  
pp. 187-205 ◽  
Author(s):  
Alexander Ströbele ◽  
Paul Wentges

ABSTRACT Interest in so-called “soft controls,” such as clan control, and what role they may play in designing management control systems has been growing in recent years. In particular, the conditions under which clan control and formal bureaucratic controls complement or substitute each other are the subject of an ongoing debate. The aim of this paper is to investigate the role of organizational social capital in the design of management control systems and, more specifically, to better understand the functioning of clan control. We argue that adopting a social capital perspective can help explain how clan control works and what positive effects it has on performance: organizational social capital moderates the positive effect of clan control on performance and enables organizations to use clan control and bureaucratic controls complementarily. We provide empirical evidence that supports our hypotheses and is based on survey data from 523 small and medium-sized enterprises in Germany.


2018 ◽  
Vol 2018 ◽  
pp. 310-310
Author(s):  
Chih-Hsing Liu ◽  
◽  
Jeou-Shyan Horng ◽  
Sheng-Fang Chou ◽  
Yung-Chuan Huang ◽  
...  

Author(s):  
Janet A. Boekhorst ◽  
Michael Halinski ◽  
Jessica R.L. Good

Author(s):  
Zhigang Li ◽  
Xu Xu

In tandem with internet development and widespread social media use, e-health communities have begun to emerge in recent years. These communities allow doctors to access forums anywhere, anytime, seek or exchange medical information online, find literature, and so on. This is convenient and can solve some problems for doctors while also promoting doctor communication. This study collected and collated 102 doctors in the “Lilac Forum” and used social network tools to quantify the overall network density, centrality, core–periphery structure, and structural hole indicators of doctors’ information exchange from a social-capital perspective. The results showed that the frequency of interaction between doctors differed because of differences in the identities and participation of doctors in the e-health community. The density of the doctors’ information dissemination network (0.228) and network cohesion (0.610) were relatively high. Thus, the doctors were more closely connected, and information was easily spread. At the same time, doctors with higher professional titles had obvious location characteristics, familiarity and trust, and high levels of reciprocity. They could obtain redundant information in the network and were more likely to influence the behavior of other doctors. This study’s findings provide support for improving information exchange among doctors in e-health communities and improving the service levels of the platforms.


2010 ◽  
Vol 29 (6) ◽  
pp. 561-576 ◽  
Author(s):  
Verónica H. Villena ◽  
Elena Revilla ◽  
Thomas Y. Choi

Evaluation ◽  
2017 ◽  
Vol 23 (3) ◽  
pp. 339-357 ◽  
Author(s):  
Sara Dewachter ◽  
Nathalie Holvoet

While community-based monitoring is becoming increasingly commonplace, evidence as to its functioning remains inconsistent. Based on Ugandan village network and survey data, this article studies community-based monitoring from a social-capital and perceived-efficacy perspective. From a social-capital perspective, the prospects for community-based monitoring look promising as there is a high social-capital stock and an efficient information-sharing network galvanizing information for a few key individuals. The dominant efficacy profiles are also encouraging as there is an abundance of ‘followers’ (with high belief in collective capabilities) and some ‘leaders’ for collective action (with high belief in individual and collective capabilities). And yet, few community-based monitoring activities are undertaken. Our article shows that only the intersection of both theoretical lenses explains the underperformance in community-based monitoring, as those actors who are central in the information-sharing network do not have a ‘leadership’ efficacy profile while those who are ‘leaders’ are not central in the village information network.


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