scholarly journals Assessing the impact of socio-technical congruence in software development: a systematic literature review

2021 ◽  
Vol 49 (1) ◽  
Author(s):  
Binish Raza ◽  
◽  
Rodina Ahmad ◽  
Mohd H.N.M Nasir ◽  
Shukor S.M Fauzi ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Literature Review ◽  
Software Development ◽  
Systematic Literature Review ◽  
Measurement Techniques ◽  
Evolutionary Trends ◽  
Team Members ◽  
The Impact

Software development is a critical task that depends on coordination among team members and organizational activities that bring team members together. The literature indicates various techniques that have been applied to control the coordination level among team members. Notable among these techniques is social-technical congruence (STC), which helps to measure the alignment between the social and technical capabilities of an organization and teams at various stages of software development. The dynamic nature and changes of coordination requirements make STC a potential research area in this regard. The main objective of this study is to perform a systematic literature review (SLR) that recognizes and structures existing studies that represent new evolutionary trends in the field of STC. A SLR is performed of 46 publications from 4 data sources, including journals, conferences and workshop proceedings, most of which were published between 2008 and 2019. To this end, a thorough analysis is carried out to elicit the studies based on 7 research questions in this SLR. The outcome of this SLR is a set of ample research studies representing various aspects, performance impacts, factors, and evolutionary trends in the field of STC. Furthermore, STC measurement techniques are classified in two distinct groups, matrix based and social network analysis-based measures. After a systematic exploration of these aspects, this study results in new insightful features and state of art of STC. This SLR concludes that some areas still require further investigation. For instance, (1) STC-related literature exists, but only one research work mainly focuses on the risk of overwhelming STC (i.e., excessive STC measurement may overburden the software development process); (2) STC measurement techniques facilitate the identification of congruence gaps, but no attention has been given towards the unweighted social network analysis based STC measurement models; (3) STC measurement techniques are generally applied in the development phase of the project lifecycle, but these measurements are rarely used in other software development phases, such as the requirement and testing phases or all phases; and (4) The development factors that effects on STC measurement are rarely focused by researchers in the context of various domains.

Social Network Analysis in Software Development Projects: A Systematic Literature Review

2020 ◽  
Vol 30 (03) ◽  
pp. 321-362
Author(s):  
Roland Robert Schreiber ◽  
Matthäus Paul Zylka
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Literature Review ◽  
Software Development ◽  
Systematic Literature Review ◽  
Project Teams ◽  
Development Projects ◽  
Project Organization

Software development in project teams has become more and more complex, with increasing demands for information and decision making. Software development in projects also hugely depends on effective interaction between people, and human factors have been identified as key to successful software projects. Especially in this context, managing and analyzing social networks is highly important. The instrument of social network analysis (SNA) provides fine-grained methods for analyzing social networks in project teams, going beyond the traditional tools and techniques of project management. This paper examines the importance of the application of SNA in software development projects. We conducted a systematic literature review (SLR) of research on software development projects and social network data published between 1980 and 2019. We identified and analyzed 86 relevant studies, finding that research on software development projects spans the topics of project organization, communication management, knowledge management, version and configuration management, requirement management, and risk management. Further, we show that most studies focus on project organization and that the most common method used to gather social data relies on automated extraction from various software development repositories in the SNA context. Our paper contributes to the software development literature by providing a broad overview of published studies on the use of social networks in helping software development projects. Finally, we identify research opportunities and make suggestions for addressing existing research gaps.

scholarly journals Social Network Analysis on Lean Production and World Class Manufacturing: how are associated in the literature?

2017 ◽  
Vol 8 (2) ◽  
pp. 536 ◽  
Author(s):  
Gustavo Antiqueira Goes ◽  
Eduardo Guilherme Satolo ◽  
Timóteo Ramos Queiroz ◽  
Cristiane Hengler Correa Bernardo ◽  
Juliana Delgado Martins Raymundo
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Initial Phase ◽  
Lean Production ◽  
World Class ◽  
Characteristic Part ◽  
World Class Manufacturing

This paper aims to conduct a Systematic Literature Review (SLR) to identify how to configure the publications that relate WCM and Lean Production issues. Therefore, a search on the Brazilian metasearch portal called CAPES Periodicals was conducted focusing on articles of the last five years. They were identified after screening and filtering a total of 42 articles, which were analyzed. The construction of the network analysis has identified that the issues are still in an initial phase of association, with the characteristic part of decentralizes networks, with some points of greatest association. It was also identified that the theme Lean Production has greater representation between the two topics due its higher use by authors.

scholarly journals Association of Social Network Analysis with Mental Models in Emergency Management Teams

2019 ◽  
Author(s):  
Bjørn Sætrevik ◽  
Line Solheim Kvamme
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Emergency Management ◽  
Mental Models ◽  
Shared Mental Models ◽  
Management Teams ◽  
Interaction Patterns ◽  
Team Members ◽  
The Impact

Social network analysis is a preferred approach to examine the impact of social processes and mechanisms on team performance, but it can be challenging to measure these dynamics in applied settings. Our aim was to test whether the understanding of the task at hand was more accurate and more shared for teams with more evenly distributed interaction patterns. We pre-registered a novel approach for measuring social networks from sparse reporting of ranked interactions. Our sample was eleven emergency management teams that performed a scenario training exercise, where we asked factual questions about the ongoing task during performance, and retrospective questions about who were the most important communication and collaboration partners. We quantified shared mental models as the extent to which a team member showed the same understanding as the rest of their team, and quantified situation awareness as the extent to which team members showed the same knowledge as their team leader. We calculated which team members where most central to the network, and which networks had more evenly distributed networks. Our findings support the pre-registered hypotheses that more interconnected teams are associated with more accurate and more shared mental models, while the individual’s position in the network was not associated with MM.

scholarly journals Social Network Analysis of Alzheimer’s Teams: A Clinical Review and Applications in Psychiatry to Explore Interprofessional Care

2021 ◽  
Vol 18 ◽  
Author(s):  
Carlo Lazzari ◽  
Yasuhiro Kotera ◽  
Pauline Green ◽  
Marco Rabottini
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Patient Care ◽  
Psychiatric Hospitals ◽  
Geriatric Psychiatry ◽  
Team Members ◽  
Interprofessional Teams ◽  
The Social ◽  
The Impact

Introduction: Understanding the social networks of professionals in psychiatric hospitals and communities working with persons with Alzheimer’s (PWA) disease helps tackle the flow of knowledge in patient care and the centrality of team members in providing information and advice to colleagues. Objectives: To use Social Network Analysis (SNA) to confirm or reject the hypothesis that psychiatric professionals have equal status in sharing information and advice on the care of PWA and have reciprocal ties in a social network. Methods: The sample consisting of 50 psychiatric professionals working in geriatric psychiatry in the UK completed an anonymous online survey asking them to select the professional categories of the colleagues in the interprofessional team who are most frequently approached when providing or receiving advice about patient care and gathering patient information. SNA is both a descriptive qualitative analysis and a quantitative method that investigates the degree of the prestige of professionals in their working network and the reciprocity of their ties with other team members. Findings: The social network graphs and numerical outcomes showed that interprofessional teams in geriatric psychiatry have health carers who play central roles in providing the whole team with the knowledge necessary for patient care; these are primarily senior professionals in nursing and medical roles. However, the study reported that only 13% of professionals had reciprocal ties within teams. Conclusion: The current research findings show that the impact of psychiatric health carers in interprofessional teams caring for PWA is not evenly distributed. Those with apparently higher seniority and experience are more frequently consulted; however, other more peripheral figures can be equally valuable in integrated care.

scholarly journals Social Network Analysis and Online Learning Communities in Higher Education: A Systematic Literature Review

2019 ◽  
Vol 23 (1) ◽  
Author(s):  
Shazia K. Jan ◽  
Panos Vlachopoulos ◽  
Mitch Parsell
Keyword(s):  
Higher Education ◽  
Online Learning ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Literature Review ◽  
Learning Communities ◽  
Systematic Literature Review ◽  
Online Learning Communities ◽  
Analytical Technique

This paper presents the results of a systematic literature review which sets out to explore the use of social network analysis (SNA) for investigating online learning communities in higher education. The impetus for such a review originated from an increased interest by researchers in SNA techniques to investigate interactions and learning engagement in various types of online communities. However, the researchers often omit to ground their research and SNA methods in community based learning frameworks such as communities of inquiry (CoI) and communities of practice (CoP). We identified a handful of studies that integrate SNA methods and key constructs from these frameworks and examined: SNA measures and corresponding theoretical constructs used; other analytical techniques used; limitations and; suggestions for further research. We found that while SNA is effective in detecting prominent participants, sub-groups and certain aspects of a CoP, a specific SNA measure cannot be correlated with a particular presence in a CoI. Therefore, SNA needs to be complemented with a qualitative analytical technique. Whether SNA can be used as a stand-alone technique for identifying communities remains to be seen. We also find a lack of consideration to attributional and performance variables in existing studies. In conclusion, we propose the development of a fully integrated research framework for a holistic analysis of online learning and teaching.

Communication Network Analysis of Project Teams in Korean Building Constructions

2013 ◽  
Vol 357-360 ◽  
pp. 2338-2341 ◽  
Author(s):  
Jae Yeob Kim ◽  
Sang Tae No ◽  
Yong Kyu Park
Keyword(s):  
Communication Network ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Construction Project ◽  
Project Teams ◽  
Degree Centrality ◽  
Analysis Program ◽  
Team Members ◽  
Communication Frequency

This study used social network analysis (SNA) in order to analyze communication relationship between project team members in typical cases of Korean building constructions. Data was collected by conducting a survey from key members of construction project teams. We analyzed and digitized degree centrality by using Netminer, a SNA analysis program. According to the result of analysis in communication frequency, intermediate managers such as construction deputy managers were shown the highest and architectural designers were shown the lowest. With respect to communication credibility, construction managers were shown the highest and architectural designers were shown to be low. We discovered that intermediate managers and construction managers of the construction teams play important role in the communication of project teams.

Measuring the Impact of Social Media

2011 ◽  
pp. 24-36 ◽  
Author(s):  
Kimiz Dalkir
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Evaluation Method ◽  
Real Life ◽  
Work Processes ◽  
The Social ◽  
Post Test ◽  
The Impact

This chapter focuses on a method, social network analysis (SNA) that can be used to assess the quantity and quality of connection, communication and collaboration mediated by social tools in an organization. An organization, in the Canadian public sector, is used as a real-life case study to illustrate how SNA can be used in a pre-test/post-test evaluation design to conduct a comparative assessment of methods that can be used before, during and after the implementation of organizational change in work processes. The same evaluation method can be used to assess the impact of introducing new social media such as wikis, expertise locator systems, blogs, Twitter and so on. In other words, while traditional pre-test/post-test designs can be easily applied to social media, the social media tools themselves can be added to the assessment toolkit. Social network analysis in particular is a good candidate to analyze the connections between people and content as well as people with other people.

Introduction

2020 ◽  
pp. 1-29
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Structure ◽  
Research Methods ◽  
The Other ◽  
Traditional Research ◽  
The Social ◽  
Social Realm ◽  
The Impact

The traditional research approaches common in different disciplines of social sciences centered around one half of the social realm: the actors. The other half are the relations established by these actors and forming the basis of “social.” The social structure shaped by these relations, the position of the actor within this structure, and the impact of this position on the actor are mostly excluded by the traditional research methods. In this chapter, the authors introduce social network analysis and how it complements the other methods.

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