Social Media Applications as a Element for Project Management of Territory Development

Project communication and collaboration is a crucial activity that makes or breaks a project. And thus the territorial development today cannot do without a new generation of projects that embody the real needs of residents and visitors. Excellent technical skills and intuition may be insufficient to drive performance if not accompanied by appropriate levels of interpersonal interaction within project groups. Evidently that Global participation platforms and social networks like Facebook, LinkedIn and others and a mass of local blogs and web communities are an important source for next generation of project managers. How these new technologies will impact organizations, however, is not entirely clear. Therefore, it represents an important field for information systems research. This paper presents a survey study of the intrusion of social media in project management. We investigate some basic questions such as the possibilities, dangers, and limits (e. g. legal or ethical) of using social media services in project management. Also we analyzed the existed approaches that can serve as a start point for the successful and efficient implementation of such services. Ours results indicate that social media analysis can serve as an improvement tool for project management of territory development to reduce the product development time and associated cost through the implementation of social network analysi

Herding a Deluge of Good Samaritans: How GitHub Projects Respond to Increased Attention

Collaborative crowdsourcing is a well-established model of work, especially in the case of open source software development. The structure and operation of these virtual and loosely-knit teams differ from traditional organizations. As such, little is known about how their behavior may change in response to an increase in external attention. To understand these dynamics, we analyze millions of actions of thousands of contributors in over 1100 open source software projects that topped the GitHub Trending Projects page and thus experienced a large increase in attention, in comparison to a control group of projects identified through propensity score matching. In carrying out our research, we use the lens of organizational change, which considers the challenges teams face during rapid growth and how they adapt their work routines, organizational structure, and management style. We show that trending results in an explosive growth in the effective team size. However, most newcomers make only shallow and transient contributions. In response, the original team transitions towards administrative roles, responding to requests and reviewing work done by newcomers. Projects evolve towards a more distributed coordination model with newcomers becoming more central, albeit in limited ways. Additionally, teams become more modular with subgroups specializing in different aspects of the project. We discuss broader implications for collaborative crowdsourcing teams that face attention shocks.National Science Foundation Grant No. IIS-1617820.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/153786/1/Maldeniya et al. 2020.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/153786/4/Maldeniya et al. 2020 Published Version.pdfDescription of Maldeniya et al. 2020.pdf : Main ArticleDescription of Maldeniya et al. 2020 Published Version.pdf : Published Versio

The Case of Wikipedia

In this paper we propose a theoretical framework to understand the governance of internet-mediated social production. Focusing on one of the most popular websites and reference tools, Wikipedia, we undertake an exploratory theoretical analysis to clarify the structure and mechanisms driving the endogenous change of a large-scale social production system. We argue that the popular transactions costs approach underpinning many of the analyses is an insufficient framework for unpacking the evolutionary character of governance. The evolution of Wikipedia and its shifting modes of governance can be better framed as a process of building a collective capability, namely the capability of editing and managing a new kind of encyclopedia. We understand Wikipedia evolution as a learning phenomenon that gives over time rise to governance mechanisms and structures as endogenous responses to the problems and conditions that the ongoing development of Wikipedia itself has produced over the years. Finally, we put forward five empirical hypotheses to test the theoretical framework

Social Structure and Mechanisms of Collective Production: Evidence from Wikipedia

In my dissertation I propose three counterintuitive social mechanisms to alleviate the risk that collective production will fail to maintain participant involvement and respond to demand. My first study, based on a panel dataset of edits and views of articles in the English Wikipedia, shows that, although collective production lacks a price-like mechanism to estimate demand for the goods it produces, consumers’ contributions act as such a signal to expert producers. In the second paper I examine the theory that collective production participation is greatest when social norms of collaboration are obeyed. Using a large panel dataset of production networks and normrelated behavior in Wikipedia, I show that social norm infringement is not completely detrimental to participation because norm enforcement increases the likelihood that the beneficiary producer continues participating. In my third paper, I rely on interviews with experienced Wikipedia producers to examine whether producers’ ties to non-participants in collective production increase the likelihood of turnover, and whether producers’ embeddedness in collective production reduces turnover risk. Surprisingly, I find that producers with networks rich in ties to non-producers and with a task-oriented approach to collective production are those least likely to stop participating

Participation of New Editors After Times of Shock on Wikipedia

User participation is vital to the success of collaborative crowdsourcing platforms such as Wikipedia. Previously user participation has been studied during “normal times”. However, less is known about participation following shocks that draw attention to an article. Such events can be recruiting opportunities due to increased attention; but can also pose a threat to the quality and control of the article and drive away newcomers. We study the collaborative dynamics of Wikipedia articles after times corresponding to shocks generated by drastic increases in attention as indicated by data from Google trends.We find that participation following such events is indeed different from participation during normal times–both newcomers and incumbents participate at higher rates during shocks. We also identify collaboration dynamics that mediate the effects of shocks on continued participation after the shock. The impact of shocks on participation is mediated by the amount of negative feedback given to newcomers in the form of reverted edits and the amount of coordination editors engage in through edits of the article’s talk page.National Science Foundation Grant No. IIS-1617820Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/148429/1/Zhang et al. 2019.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/148429/4/3253-Article Text-6302-1-10-20190531.pdfDescription of Zhang et al. 2019.pdf : Preprint versionDescription of 3253-Article Text-6302-1-10-20190531.pdf : Final Versio