The focus of this research project will be to explore the relationships between social networks and organizational effectiveness in a professional volunteer organization. In this study, I will be working with quantitative data – specifically I will be conducting a survey to generate data. Quantitative methodologies are conventional for Social Network Analysis (SNA) data generation (Edwards, 2010). Furthermore, the data I will be gathering is discrete, and therefore, of a quantitative nature. For example: presence or absence of social ties among members of the sample, frequency of interaction, etc. (Edwards, 2010). I hypothesize that teamwork/connectedness and effectiveness are positively correlated. Sample Selection
I will …show more content…
5). Harris & Harris (1996) also explain that a team has a common goal or purpose where team members can develop effective, mutual relationships to achieve team goals. Teamwork replies upon individuals working together in a cooperative environment to achieve common team goals through sharing knowledge and skills. Inter-teamwork refers to teamwork between members of the same portfolio, whereas intra-teamwork¬ refers to teamwork between members of different portfolios. Inter and intra-teamwork will be measured based on the ten principles of good teamwork identified by Nancarrow, Booth, Ariss, Smith, Enderby, and Roots, (2013) and through the analysis of sociometric relational data. I will quantify relational data via an adjacency matrix, where ties between actors are recorded as present (W) or absent (0) – where “W” is a weighted integer, representing the strength of ties. Weights will be added based on frequency of interaction, length of relationship (tie life), and individual perceptions of tie strength. This will provide data on tie existence as well as tie strength. In addition, reciprocity – the ratio of the number of relations, which are reciprocated (i.e. there is bi-directional edge/tie) – and clustering will be analyzed as indicators of …show more content…
Organizational network research can be especially vexing from an ethical standpoint because people’s jobs and futures may be directly at stake (Kadushin, 2005). An additional ethical concern in studying organizations is ‘preserving’ the image of the organization. Similarly to employees’ jobs being at risk, the image of the studied organization is also at risk (Kadushin, 2005). To mitigate this concern and preserve anonymity and confidentiality, I will report my results using pseudonyms for participants and also for the location of the