Public Management
Ali Ghorbani; Mohammad Amin Torabi; Matineh Moghaddam
Abstract
This article examines the phenomenon of "meeting madness" among managers, recognized as a significant challenge in workplace and organizational environments. The primary aim of this research is to identify the causes and contributing factors to the emergence of this phenomenon and to propose solutions ...
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This article examines the phenomenon of "meeting madness" among managers, recognized as a significant challenge in workplace and organizational environments. The primary aim of this research is to identify the causes and contributing factors to the emergence of this phenomenon and to propose solutions for managers to counteract it. For this study, an advanced meta-synthesis method using artificial intelligence algorithms and natural language processing has been employed. Specifically, scripts alongside the development of advanced AI algorithms such as recurrent neural networks and genetic algorithms were utilized to search for and extract data. These algorithms, particularly the machine learning models, were capable of analyzing key concepts and emerging trends in the realm of meeting madness with high precision. Utilizing these technologies has led to the creation of a centralized database that organizes data for subsequent analyses, reduces human error, and enables quicker and more accurate data analysis. Various causes of this phenomenon include issues in meeting planning and organization, defects in organizational culture and communications, psychological and emotional issues of managers and employees, among other reasons. Following this identification, the consequences of meeting madness have been detailed, and ultimately, a set of practical and applicable solutions such as improving managerial skills, reforming culture and organizational structure, enhancing effective communications, and introducing innovative methods like leadership symbiosis, meeting diplomacy, decision-making quantization in meetings, and organizational pluralism have been presented.
Elham Hossini Chegeni; Ali Ghorbani; Mohammadreza Mashayekh; Ali Shahnazari
Abstract
The purpose of this research is to design and explain the generalization social network applications. The current research is in the framework of the research strategy of mixed methods (quantitative and qualitative). In the first stage of using this strategy, in order to explain the generalization model ...
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The purpose of this research is to design and explain the generalization social network applications. The current research is in the framework of the research strategy of mixed methods (quantitative and qualitative). In the first stage of using this strategy, in order to explain the generalization model for social network applications, we have designed and compiled the foundation data theory, and in the second stage, we have exposed it to a quantitative test to determine the generalizability of the Research to make sure. In order to collect the qualitative data of the research, according to the sampling of the communication range and diverse as well as the critical sampling, a number of expert professors in this field were selected as participants and after conducting in-depth interviews with them, the data collection continued until theoretical saturation. Found. The result of this stage of the research was a qualitative model with propositions that took the form of hypotheses in the second stage and were subjected to quantitative testing. The data collection tool was a researcher-made questionnaire. In open coding, the researcher obtained 184 concepts, which were classified into 39 components and 7 dimensions, based on which the conceptual model of the research was presented. Based on this model, in the quantitative part, it was determined that the platform has a significant effect on the functioning of social networking applications (0.210). Challenges have a significant effect on the functioning of social network applications (-0.239). The function of social network applications has an effect on the marketing of native applications (0.381). It was also found that government support moderates the impact of the platform (0.111) and challenges (-0.120) on the functionality of social networking applications. Security moderates the impact of the platform (0.116) and challenges (-0.117) on the functionality of social networking applications.
Ali Ghorbani
Abstract
This article is to explain an widespread and emerging problem in management styles as showcase management.To design a conceptual framework, the grounded theory was used. Data collection instruments consisted of "exploratory interviews" and "observation". 17 of the university professors had at least five ...
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This article is to explain an widespread and emerging problem in management styles as showcase management.To design a conceptual framework, the grounded theory was used. Data collection instruments consisted of "exploratory interviews" and "observation". 17 of the university professors had at least five years of work experience were selected for interview. For choice of them the purposive sampling and snowball method was used. Also 26 of managers of some organization were observed and semi-structured interviews were conducted with them. The adequacy of the sample was achieved by theoretical saturation. Over two rounds, the creditability of model was discussed by "focus group" of 15 elites and theoreticians. The designated framework for Showcase Management Theory is supported literature. The results shows 4 factors affects showcase management and 7 strategy for confront with this management style. Finally, to test the proposed framework and the applicability of the theory, certain hypotheses are proposed to be tested by other researchers.
Public Management
Ali Ghprbani; Hosein Gharehbiglo; Freidoon Payman
Volume 5, Issue 3 , July 2017, , Pages 131-140
Abstract
Nowadays, advances in human knowledge have also influenced marketing, with the emergence of a new field called neural marketing. In this way, it is believed that the study of the biological and physical brain is the most important way to understand the behavior of the buyers of the product or service. ...
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Nowadays, advances in human knowledge have also influenced marketing, with the emergence of a new field called neural marketing. In this way, it is believed that the study of the biological and physical brain is the most important way to understand the behavior of the buyers of the product or service. The purpose of this study is to design a model for attracting clients with a nerve marketing approach to attract customers in the bank. To achieve this goal, qualitative methodology has been used. The process of collecting and analyzing data in three stages including open coding, axial coding and selective coding led to the selection of categories. Generally, in the coding stage, 55 open source codes were identified. In the open coding step, the data was collected through a visit to the branches of the banks, observation of various processes in providing customer service, negotiation and interviews with banking experts, managers and experts of the bank. In the central coding step, 36 concepts were formed as the concepts of research. Finally, there were 9 items in the selection process using the Farsi constant comparison of categories. In this research, the participants' viewpoints are the implementation of neural marketing and its use as a tool to increase the attraction of customers in banks.
