چکیده:
The vastness and complexity of human societies and the importance of figuring out the structure of interpersonal communications to explore the effect of these communications to achieve recognized, precise and predetermined goals have highlighted the role of consulting networks and their analyses over the past decades. Today activities of large companies of the world are pertinent directly to the evaluation and analysis of social networks. Meanwhile, since organizations and enterprises are often formed and continue to operate to make profits, managers try so that nothing hurts their profitability. Service companies whose income is mainly derived from services they procure and are highly reliant on their human force need more than other companies to identify exact position and role of employees in formal and informal structures of the organization in attracting and maintaining customers in order to boost revenue through encouraging counseling networks and promoting knowledge and knowhow of employees in various levels of the organization. This study in an attempt to explore its prediction goals used a network structure and collected behavioral data of employees working in 36 branches of a private bank to detect their internal counseling network. Then network graph was made and profitability prediction analysis was performed by determining the association relatively strength of internal counseling networks and bank profitability via regression model. According to the results obtained from a nonlinear regression model, this study supported the association between the independent variables and the dependent variables.
خلاصه ماشینی:
Applying a graph theory-based approach to identify the internal advisory network of a bank and its relationship with profitability (Case study: one of the domestic private banks) 1 Seyyed Farid Mousavi 2 Kaveh Khalili Damghani 3 * Arezoo Gazari Nishaburi Abstract The extensiveness and complexity of human societies and the importance of recognizing the communicative structure among individuals, in order to discover the impact of these connections for achieving specific and predetermined goals, has revealed the role of identifying advisory networks and their related analyses in recent decades.
Research Background in the Field of Internal Networks Sarkar, Fienberg & Krackhardt 1 (2009) from Carnegie Mellon 2 University, USA, investigated the role of employee connections and their relationship with bank profitability in a study.
Ghasemi (2012), regarding the present subject, prepared a research titled "Predicting the Profitability of Individual Bank Branches Considering the Internal Branch Advisory Network" and in it, conducted a case study of Eghtesad Novin Bank.
Tong, Lian, Niu, Xie & Zhang Research methodology and preliminary data analysis The aim of the present research is to identify the network structure and the impact of employee communication on organizational profitability.
Communication network graph of employees in a branch Model Estimation and Fit Now, considering the indicators calculated for each of the branches, the overall regression model will be as follows (Sarkar, Finberg and Krackhardt, 2010): Equation 4) ߝ +ሻܯଵߚ+ߚ)ఈܪ=ݐ݂݅ݎܲ ٠ =ሿߝሾܧ ଶߜ=ሿߝሾݎܽ V where Profit is the pre-tax profit of each branch at the end of the considered fiscal year, H is the sum of evaluation scores of the employees working in each branch, M, as previously mentioned, is the work interaction among branch individuals at different organizational levels, and α, β₀, β₁ are the parameters.
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