Sentiment Evolutions in Blended Learning Contexts: Investigating Dynamic Interactions Using Simulation Investigation for Empirical Social Network Analysis

2020 ◽  
pp. 249-263
Author(s):  
Zhongmei Han ◽  
Changqin Huang ◽  
Qionghao Huang ◽  
Jianhui Yu
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Blended Learning ◽  
Dynamic Interactions ◽  
Learning Contexts

scholarly journals Identifying Project Corporate Behavioral Risks to Support Long-Term Sustainable Cooperative Partnerships

2021 ◽  
Vol 13 (11) ◽  
pp. 6347
Author(s):  
Marco Nunes ◽  
António Abreu ◽  
Célia Saraiva
Keyword(s):  
Social Network ◽  
Project Management ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Building Blocks ◽  
Research Literature ◽  
Management Tools ◽  
Dynamic Interactions ◽  
Major Factors

Projects are considered crucial building blocks whereby organizations execute and implement their short-, mid-, and long-term strategic visions. Projects are thought, developed, and implemented to solve problems, drive change, satisfy unique needs, add value, and exploit opportunities, just to name a few objectives. Although existing project management tools and techniques aim to deliver projects with success, according to the latest reviewed literature, projects still keep failing at an impressive pace. Among the extensive list of factors that may threaten project success, several articles from the research literature place particular importance on a still underexplored factor that may strongly lead to unsuccessful project delivery. This factor—usually known as corporate behavioral risks—usually emerges and evolves as organizations work together to deliver projects across a bounded period of time, and is characterized by the mix of formal and informal dynamic interactions between the different stakeholders that constitute the different organizations. Furthermore, several articles from the research literature also point out the lack of proper models to efficiently manage corporate behavioral risks as one of the major factors that may lead to projects failing. To efficiently identify and measure how such corporate behaviors may contribute to a project’s outcomes (success or failure), a heuristic model is proposed in this work, developed based on four fundamental fields ((1) project management, (2) risk management, (3) corporate behavior, and (4) social network analysis), to quantitatively analyze four critical project social networks ((1) communication, (2) problem-solving, (3) advice, and (4) trust), by applying the theory of social network analysis (SNA). The proposed model in this work is supported with a case study to illustrate its implementation and application across a project lifecycle, and how organizations can benefit from its application.

Instructional Design of Blended Learning with MOOCs and Social Network Analysis

2018 ◽  
Vol 24 (11) ◽  
pp. 7952-7955
Author(s):  
Helmi Norman ◽  
Norazah Nordin ◽  
Melor Md Yunus ◽  
Mohamed Ally
Keyword(s):  
Instructional Design ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Blended Learning

Blended learning communities

2010 ◽  
pp. 256-276 ◽  
Author(s):  
S. Annese ◽  
M. Traetta ◽  
P. F. Spadaro
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Blended Learning ◽  
Learning Communities ◽  
Sense Of Belonging ◽  
Interactive Environments ◽  
Group Members ◽  
Psychosocial Processes ◽  
Specific Learning

Blended learning communities are defined by specific learning and psychosocial processes based on the multilayered sense of belonging of the group’s members, related to the merging of both virtual and real interactive contexts. This chapter focuses on the psychosocial dynamics of blended communities, in order to identify some specific participation strategies and identity dynamics, which both vary with the double interactive context. We used a qualitative variant of Social Network Analysis to analyse the interactions of two blended student communities, identifying various participation trajectories and identity positionings of the group members. The results revealed that the blending of two communication contexts generates different psychosocial dynamics from those activated by the same community in a wholly on- or offline context. The combination of interactive environments results in participation strategies in which members can choose distinctive trajectories, shaping their original identity positionings.

scholarly journals Applying Social Network Analysis to Identify Project Critical Success Factors

2020 ◽  
Vol 12 (4) ◽  
pp. 1503 ◽  
Author(s):  
Marco Nunes ◽  
António Abreu
Keyword(s):  
Social Network ◽  
Project Management ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Critical Success Factors ◽  
Success Factors ◽  
Dynamic Interactions ◽  
Critical Success ◽  
Project Lifecycle ◽  
Collaboration Types

A key challenge in project management is to understand to which extent the dynamic interactions between the different project people—through formal and informal networks of collaboration that temporarily emerge across a project´s lifecycle—throughout all the phases of a project lifecycle, influence a project’s outcome. This challenge has been a growing concern to organizations that deliver projects, due their huge impact in economic, environmental, and social sustainability. In this work, a heuristic two-part model, supported with three scientific fields—project management, risk management, and social network analysis—is proposed, to uncover and measure the extent to which the dynamic interactions of project people—as they work through networks of collaboration—across all the phases of a project lifecycle, influence a project‘s outcome, by first identifying critical success factors regarding five general project collaboration types ((1) communication and insight, (2) internal and cross collaboration, (3) know-how and power sharing, (4) clustering, and (5) teamwork efficiency) by analyzing delivered projects, and second, using those identified critical success factors to provide guidance in upcoming projects regarding the five project collaboration types.

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