scholarly journals The state of the art development of AHP (1979–2017): a literature review with a social network analysis

2017 ◽  
Vol 55 (22) ◽  
pp. 6653-6675 ◽  
Author(s):  
Ali Emrouznejad ◽  
Marianna Marra
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Literature Review ◽  
State Of The Art ◽  
The State

scholarly journals Application of Social Network Analysis for Analyzing the Relationships between Root and Direct Causes of Defects

2015 ◽  
Vol 9 (12) ◽  
pp. 12 ◽  
Author(s):  
Chantelle Van Den Brink ◽  
Sangwon Han
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Literature Review ◽  
Extensive Literature ◽  
Root Cause ◽  
Extensive Literature Review ◽  
Construction Defects

<p class="zhengwen">This paper addresses the application of social network analysis (SNA) in understanding and representing the relationships between the root and direct causes of defects. The root and direct causes of construction defects were identified through extensive literature review, and the thoroughness of the identified causes was confirmed by examining 91 non-conformance reports. The SNA software UCINET was used to visually map the links between the direct and root causes for identifying the root causes that accounted for the majority of direct causes and defects. A measure of centrality and adjacency indicated that the root cause Constructor Error/Omission was directly linked to seven of the ten identified direct causes. It was also determined that eliminating this root cause together with Transportation Error would reduce the number of defects by 90%. Since the root causes responsible for the majority of direct causes as well as the largest number of defects could be identified using SNA, it is concluded that SNA is a valuable tool for recognizing where resources should be employed for the elimination of defects.</p>

Incorporating Trust Relation with PMF to Enhance Social Network Recommendation Performance

2016 ◽  
Vol 30 (06) ◽  
pp. 1659016 ◽  
Author(s):  
Hui Li ◽  
Xiao-Ping Ma ◽  
Jun Shi
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Matrix Factorization ◽  
Web Applications ◽  
State Of The Art ◽  
Large Datasets ◽  
Trust Relation ◽  
The Empirical Analysis

In view of the exponential growth of information generated by social networks, social network analysis and recommendation have become important for many web applications. This paper examines the problem of social collaborative filtering to recommend items of interest to users in a social network setting. Many social networks capture the relationships among the nodes by using trust scores to label the edges. The bias of a node denotes its propensity to trust/mistrust its neighbors and is closely related to truthfulness. It is based on the idea that the recommendation of a highly biased node should be removed. In this paper, we propose a model-based approach for recommendation employing matrix factorization after removing the bias nodes from each link, which naturally fuses the users’ tastes and their trusted friends’ favors together. The empirical analysis on real large datasets demonstrate that our approaches outperform other state-of-the-art methods.

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.

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 Impact of Collective Trademarks in Mexican artisanal cheesemakers

2021 ◽  
Vol 22 (2) ◽  
Author(s):  
Mónica Andrea Agudelo-López ◽  
Fernando Cervantes-Escoto ◽  
Alfredo Cesín-Vargas ◽  
María Isabel Palacios-Rangel ◽  
Angélica Espinoza-Ortega
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Relations ◽  
Quantitative Information ◽  
Negotiation Process ◽  
The State ◽  
Strategic Networks ◽  
External Actors ◽  
Depth Interviews

Processes related to Collective Trademarks (CTMs), and the state of social friendship, productive support, and strategic networks, were studied for three different artisanal cheesemaker groups: Queso Bola de Ocosingo with an inactive CTM, Queso de Poro de Balancán, with an active CTM, and Quesillo de Reyes Etla, with a CTM undergoing its negotiation process. The influence of negotiation and operation of CTMs as consolidation strategies of three Mexican artisanal cheesemakers was analyzed through a mixed investigation involving in-depth interviews, social network analysis, and quantitative information. The research indicated that networks are small with scarce interaction among the actors, and, where collective strategies have not been induced, the networks are more disconnected and show a higher proportion of isolated nodes. It is concluded that, when collective strategies come from external actors without the necessary accompaniment, they tend to fail because their actions are supported by temporal actors, impacting social relations among cheesemakers.

scholarly journals A SYSTEMATIC LITERATURE REVIEW OF SOCIAL NETWORK ANALYSIS IN TOURISM FLOWS

2021 ◽  
Vol 6 (26) ◽  
pp. 143-154
Author(s):  
Pei Yee Tan ◽  
Hairul Nizam Ismail ◽  
Syed Muhammad Rafy Syed Jaafar
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Data Collection ◽  
Literature Review ◽  
Future Research ◽  
The Past ◽  
Behavioural Patterns ◽  
Meta Analyses ◽  
Tourism Flows

As the growing research interest and discussion on social network analysis associated with tourism flows, this paper reviewed 31 studies focused on tourism flows with social network analysis in the past ten years. To ensure the accuracy of the literature review, a systematic quantitative literature review with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), together with descriptive and content analyses, was used to synthesise these past studies. With that, this review aims to (1) identify the overall research trends of social network analysis in tourism flows studies, (2) types and methods of data collection used, as well as (3) future research opportunities. The review findings present an interesting result with the past studies mostly focusing on examining tourist movement, tourism destination management, and tourist behavioural patterns. Furthermore, this review also provides significant findings on emerging data collection methods, like big data, in tourism research. To sum up, this paper offers an insight into social network analysis in tourism flows, primarily on the state of knowledge, methodological understanding, and future research gaps.

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.

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