original-application paper
Zahra Bagheri; Seyed Javad Hosseininezhad; Nasser Safaie
Volume 2, Issue 2 , September 2021, Pages 116-127
Abstract
Purpose: This study aims to implement and change the administrative system using conventional methods and build a strategic transformation model for universities.Methodology: The present research method is qualitative. By examining the organization's strategic plan, identifying the effective indicators, ...
Read More
Purpose: This study aims to implement and change the administrative system using conventional methods and build a strategic transformation model for universities.Methodology: The present research method is qualitative. By examining the organization's strategic plan, identifying the effective indicators, and ranking the components based on a multi-criteria decision-making method, TOPSIS, the final transformation model has been prepared using the interpretive structure model (ISM). Findings: By studying the strategic planning developed for the organization, the main components were determined, and using the ISM technique, the main components of levelling. Finally, the transformation model was considered at four levels. Finally, it was observed that knowledge management is at level 1 and affects other barriers. Also, the environment of change, competitors, and effective communication with the industry are influenced by different factors and do not affect other factors.Originality/value: Traditional management and leadership methods lack effectiveness in today's changing and dynamic conditions. Considering that university administrators are the primary decision-makers, paying attention to their managerial capabilities significantly impacts the success of the country's higher education system.
Original Article
Hamed Nozari; Javid Ghahremani-Nahr,
Volume 2, Issue 2 , September 2021, Pages 128-136
Abstract
Purpose: In recent years, with the growth of sustainable development and textual tools on information technology, supply chain agility has become a powerful tool to compete in the business environment. In such an environment, stakeholders expect digital developments and efficient tools to play a role ...
Read More
Purpose: In recent years, with the growth of sustainable development and textual tools on information technology, supply chain agility has become a powerful tool to compete in the business environment. In such an environment, stakeholders expect digital developments and efficient tools to play a role in these supply chain developments. Therefore, this tool, namely the Internet, can play a crucial role in agility, accelerate supply chain activity, and create value in the organization. Given the importance of the supply chain and its prominent role as a core in industrial activities, this study aims to provide a framework for implementing an agile supply chain based on big data from the Internet of Things.Methodology: This research is of developmental and applied type and has been done qualitatively. In this study, the components affecting supply chain agility are identified based on big data from the Internet of Things, and the conceptual framework of agile supply chain is presented.Findings: The results provide a framework that intelligently identifies the agility needs of the organization and strives to achieve them, thus creating a more competitive advantage for the company, increasing customer satisfaction, and expanding the organization's market share.Originality/Value: This framework can be a practical guide to implementing an agile and clean supply chain based on big data.
Original Article
Mehdi Ajalli; Mohammad Mahdi Mozaffari; Mina Akbari Ghalee Jough
Volume 2, Issue 2 , September 2021, Pages 137-152
Abstract
Purpose: This study aimed to investigate the effect of total quality management and entrepreneurship on the organizational performance of Iran Paint Company using a descriptive correlation method.Methodology: The study's statistical population was 200 employees of Iran Paint Company, 132 selected by ...
Read More
Purpose: This study aimed to investigate the effect of total quality management and entrepreneurship on the organizational performance of Iran Paint Company using a descriptive correlation method.Methodology: The study's statistical population was 200 employees of Iran Paint Company, 132 selected by simple random sampling. For data collection, three questionnaires, Moghimi Inclusive Quality Management (2009), Antoncic and Hisrich Entrepreneurship (2003), and Carabulot Organizational Performance Questionnaire (2015), were used. Their reliability through Cronbach's alpha coefficient was 0.86 and 0.82, respectively. And 0.89 was obtained. A structural equation model test was used to analyze the data using SPLS software.Findings: The results showed that total quality management and entrepreneurship have a positive and significant effect on the organizational performance of Iran Paint Company. The results also showed that entrepreneurship positively and significantly affects organizational performance. Finally, the results show the impact of total quality management on organizational performance with the role of entrepreneurial mediator.Originality/Value: In total quality management and entrepreneurship, organizations that care about these variables perform better in achieving high levels of growth and development.
Original Article
Hadi Hosein Panahi; Heresh Soltanpanah
Volume 2, Issue 2 , September 2021, Pages 153-166
Abstract
Purpose: The concepts of mental image and marketing relationships are becoming more critical for businesses. To some extent, previous studies have examined the effect of service quality and brand image on consumer behaviour, so this study aimed to investigate the relationship between social marketing ...
Read More
Purpose: The concepts of mental image and marketing relationships are becoming more critical for businesses. To some extent, previous studies have examined the effect of service quality and brand image on consumer behaviour, so this study aimed to investigate the relationship between social marketing and image. It is the mentality of the customers of insurance companies in Kurdistan province.Methodology: The method of the present study is a survey and is applied in terms of purpose. The statistical population of this study included all insurance customers in Kurdistan province. By random sampling method, the sample size is 385 people. Spearman and Friedman correlation test and SPSS software were used to analyze the data to show the effect of each independent variable and whether their effect was real.Findings: The results showed a significant relationship between social marketing and customers' mental image. Also, among the three variables of social marketing affecting the mental image of insurance companies' customers, according to the respondents, communication programs had an average of 2.29, behaviour management programs had an average of 2.25, and symbolic programs had an average of 1.15.Originality/Value: Using social networks in insurance companies to form the mental image of customers and thus increase the quality of services, profits, and productivity is very effective and valuable. Managers of insurance companies can use the results of this study.
Original Article
Seyed Reza Seyed Nezhad Fahim; Ayat Balali; Fereshteh Hasanzadeh
Volume 2, Issue 2 , September 2021, Pages 167-179
Abstract
Purpose: Dividend payment decisions are one of the critical components of corporate policy and one of the most important issues in the financial literature. On the one hand, they affect companies' investments. On the other hand, many shareholders with short-term investment horizons want to distribute ...
Read More
Purpose: Dividend payment decisions are one of the critical components of corporate policy and one of the most important issues in the financial literature. On the one hand, they affect companies' investments. On the other hand, many shareholders with short-term investment horizons want to distribute cash dividends, so managers must constantly balance their interests and profitable investment opportunities to maximize wealth. This study examines the effect of investor pressure on dividend policy.Methodology: Eighty-four companies listed on the Tehran Stock Exchange from 2013 to 2018 were selected. Using the combined data approach, we tested the research hypotheses.Findings: The results of this study indicate that the pressure of investors has a positive and significant effect on the dividend per share and the ratio of dividends to sales.Originality/Value: Explaining the policy of profit sharing of companies and its determining factors is one of the biggest challenges that has always been faced by thinkers in the field of financial economics, which was examined in the present study.
Original Article
Marziyeh Nourahmadi; Hojjatollah Sadeqi
Volume 2, Issue 2 , September 2021, Pages 180-194
Abstract
Purpose: One of the issues that significantly impact how people invest is the behavioural characteristics of investors. Given the importance of this issue, investors should be able to categorize investors into different classes and recommend investments appropriate to the personality type of the same ...
Read More
Purpose: One of the issues that significantly impact how people invest is the behavioural characteristics of investors. Given the importance of this issue, investors should be able to categorize investors into different classes and recommend investments appropriate to the personality type of the same class for each class. One of the solutions that can be used for this purpose is clustering. Clustering is one of the unsupervised learning methods and has a descriptive nature. In this method, the data are allocated based on a similarity criterion so that the data in each cluster are most similar and the least comparable to the data in other clusters.Methodology: This study identifies a group of investors with similar ability and willingness to accept risk using K-means clustering and Affinity propagation clustering. We also show how to allocate assets effectively using investor characteristics and clustering techniques.Findings: Use silhouette coefficient to evaluate two clustering methods to select the best method for data clustering. The k-means coefficient was equal to 0.17, and the Affinity propagation clustering was equal to 0.097. Therefore, we choose the k-means method as the optimal clustering method. Using the K-means clustering method, we cluster investors based on financial, behavioural, and demographic characteristics, and according to the clustering results, we divide individuals into seven categories with low to high-risk acceptance.Originality/Value: All calculations in this study were performed by Python 3.8. Investment managers and stock advisors can use the results of this study.
Original Article
Seyed Mohammad Reza Davoodi; Mohammad Ebrahim Khatami
Volume 2, Issue 2 , September 2021, Pages 195-215
Abstract
Purpose: In today's world, due to the increasing progress of the world in various fields, the needs and wants of customers in improving the quality of services and consumer goods have increased. These needs, which occur implicitly and explicitly, have grown significantly in all areas of industrial units. ...
Read More
Purpose: In today's world, due to the increasing progress of the world in various fields, the needs and wants of customers in improving the quality of services and consumer goods have increased. These needs, which occur implicitly and explicitly, have grown significantly in all areas of industrial units. On the other hand, organizations that seek to meet customer expectations and needs are forced to use the tools and systems that they have. Quality performance enhancement is one of the most essential tools to help achieve this goal.Methodology: This study intends to evaluate the needs of companies using a questionnaire and a combination of quality performance and fuzzy DEMATEL. The statistical population of this research includes service companies in Razi industrial town. Using Cochran's formula, 120 companies were selected as a sample, and a needs prioritization questionnaire was sent to them.Findings: Based on the research results, the company identified 64 needs, and drinking water was the company's priority. Then, this company identified 8 services or technical requirements, and the Quality House determined the relations between the needs of Razi Industrial City Service Company customers. Service priority was set.Originality/Value: The quality performance enhancement technique is an essential tool for translating the customer's voice, considering their wants and needs, and prioritizing the technical requirements of production, which was used for the first time in this study.
