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Identify the capabilities of the Internet of Things in the industrial sector with multi-feature decision methods
Dr Alireza Shahraki, Mrs Vajiheh Bahrami,
Volume 0, Issue 0 (5-2022)
Abstract
Background and Purpose: The IoT is recognized as one of the most efficient and pervasive technologies that is constantly evolving. In order to use it effectively, it is necessary to get acquainted with the capabilities of this technology and the importance of each of them. Therefore, this study was conducted with the aim of identifying and ranking the capabilities of the Internet of Things in the industrial sector using multi-criteria decision-making techniques. And quantitative-qualitative research in terms of data analysis.
Materials and methods: In this study, IoT capabilities were identified in three categories of capabilities, benefits and challenges using library resources and Delphi method through a survey of experts. Data collection was done through questionnaires. Expert Choice software was performed.
Findings: The results of data analysis in this study showed that among the three main criteria, obstacles and challenges, advantages and capabilities are the most important, respectively. Also, among the sub-criteria of obstacles and challenges, security and operating system were the most important and compatibility was the least important. Among the sub-criteria of capabilities, artificial intelligence and communication had the highest and sensors the lowest and weighted rank. Also, among the benefits, saving time and reducing costs were the most important, and process improvement was the least important.
Conclusion: The results of this study showed that in order to use technologies such as the Internet of Things in the manufacturing sector, including the industrial sector, in order to use them more effectively and efficiently, it is necessary to identify the capabilities, advantages and obstacles of this technology. By determining the degree of importance and effectiveness of each of these criteria, selecting and prioritizing that aspect of technology for implementation is determined. Therefore, the results of this study, in addition to identifying the capabilities, advantages and obstacles of using this technology, also identified the priority of each criterion in terms of their importance.
 
Providing an intergenerational knowledge sharing model for the car leasing industry
Saeed Rouhi Shalemaie, Mohammad Khandan, Ali Shabani,
Volume 0, Issue 0 (5-2022)
Abstract
Purpose: The purpose of this research is to design a model for intergenerational knowledge sharing in the car leasing industry.
Method: This applied research was conducted with a mixed exploratory method. The statistical population of this research is divided into two parts, in the first (qualitative) part, the statistical population consisted of 17 experts in the leasing industry who were selected in a targeted way, and in the second (quantitative) part, the statistical population consisted of 970 employees. were employed in the car leasing industry, based on Cochran's formula and 22% increase of the minimum sample, 336 people were selected by simple random method for the sample. The method of collecting information was library and field method with semi-structured interview tools and questionnaire. MAXQDA and SMART PLS software environment were used to analyze the obtained data.
Findings: The findings showed that the components (knowledge sharing, external environment, innovation, foresight, reaction, analytical, information technology governance, organizational structure, learning organization, organizational learning, knowledge management) on knowledge sharing between Nesli has a direct and significant impact on the leasing industry.
Conclusion: according to the obtained analysis and identification of components (knowledge sharing, external environment, innovation, foresight, reaction, analytical, information technology governance, organizational structure, learning organization, organizational learning, knowledge management), It can be concluded that all these components are a suitable model for improving the performance of the car leasing industry, and it is recommended that this model be considered to advance the goals and success of this industry.

Investigating the Effect of Spatial Proximity on Iran University- Industry Co-publications by using Gravity Model
Farideh Osareh, Abdolhossein Farajpahlou, Ms Mansoureh Serati Shirazi,
Volume 3, Issue 3 (12-2016)
Abstract

Background and Aim: Due to the importance of scientific relations between university and industry, it is so important to identify the factors that affect these relations. So,the aim of this study is to investigate the effect of spatial proximity on university- industry collaboration. The collaboration indicator which is used here is University- Industry Co-publications.

Methods: The research is done by spatial scientometrics aproach and the university- industry co-publications of Iran in the period 2010-2014 from Science Citation Index Expanded of Web of Science were analyzed. In order to to investigate the effect of spatial proximity the Gravity Model was employed. This model for collaboration implays that co-publication between university and industry depens on their total scientific output  and the geographical distance between them.

Results: the research findings showed the significant effect of spatial proximity on co-publication.

Conclusion. The findings of this research can be used in research policy making in the way that on the one hand, both university and industry benefit from the co-publication advantages by domestic knowledge flow and on the other hand the rsearchers be able to find propr reseach partner who are not co-located with them


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