Hamidreza Rostami; Shaban Elahi; ali moeini; Alireza Hassanzadeh
Abstract
Actor-Network theory (ANT), in social sense, is an approach to sociological analysis in the field of science and technology studies and focuses on understanding how things get to the situations in which they find themselves. In recent years, this theory has been considered by researchers as a methodological ...
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Actor-Network theory (ANT), in social sense, is an approach to sociological analysis in the field of science and technology studies and focuses on understanding how things get to the situations in which they find themselves. In recent years, this theory has been considered by researchers as a methodological approach to analyze the use of technology in the workplace and describe the various dimensions of socio-technical systems. Despite numerous examples of research based on ANT methodology, no codified framework has been introduced for it and no examples of using this theory in the form of methodology have been found in the country. The present study tries to introduce a framework for data collection and analysis in the context of this theory, while explaining the methodology of this theory in an analytical-descriptive manner. The feasibility and validity of the proposed framework have been assessed in the form of a case study. The results of the research can be effective in the systematic application of ANT methodology, especially in the country.
Elham Sadoughinia; Alireza Hasanzadeh; Shaban Elahi; Shaghayegh Sahraei
Abstract
In new competitive market, the survival of companies depends on recognition and absorption of customers and because of high costs of acquiring new customers, retention of loyal customers is the most important goal of a company. This study is based on the identification of loyalty factors and designing ...
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In new competitive market, the survival of companies depends on recognition and absorption of customers and because of high costs of acquiring new customers, retention of loyal customers is the most important goal of a company. This study is based on the identification of loyalty factors and designing an expert system for the evaluation of customers’ loyalty in the logistic industry. According to the literature, there are two groups of attitudinal and behavioral factors of customers’ loyalty. Attitudinal factors consist of frequency, recency and monetary of shopping, shopping cart, and profitability of shopping. Behavioral factors consist of satisfaction, trust, brand popularity and perceived customer value. Due to the capabilities of the expert systems in evaluation, this study is based on fuzzy inference system which called CLEXS which stands for Customer Loyalty EXpert System. In CLEXS the situation of customers’ loyalty can be detected in different areas and this system is a kind of data mining system in nature.
Shaban Elahi; Azam Sorani; Ali Rajabzadeh
Abstract
Knowledge management (KM) makes noticeable changes in different levels of new organizations. Human components related to knowledge sharing and workers motivation are two important components in successful implementation of knowledge management systems. The aim of this study is to determine the situation ...
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Knowledge management (KM) makes noticeable changes in different levels of new organizations. Human components related to knowledge sharing and workers motivation are two important components in successful implementation of knowledge management systems. The aim of this study is to determine the situation of knowledge sharing and workers motivation, before and after of implementing knowledge management system and to present a framework for companies active in chilling industry. In this study, we extracted and examined 9 components consist of social interactions, culture, subjective norms, social media, efficient knowledge, helping enjoyment, trust, feedback, and perceiving the usefulness of social media. Also, a framework was presented for knowledge sharing and workers motivation and according to this framework the situation of these two components was indicated before and after implementation of knowledge management system in 2 companies active in chilling industry. As a result, this framework can indicate the situation of knowledge sharing and employees’ motivation before and after implementation of knowledge management in an organization and can help private organizations to improve their current situation. The results showed that employee motivation and knowledge sharing after implementation of KM in comparison with the previous one has a significant difference and improved. With the help of this framework, the chilling industry can examine the impacts of KM implementation on employees’ motivation and knowledge sharing.
