In this study, to find supply chain resilience strategies, 14 indicators for logistics capability and 13 indicators for risk were achieved from factor analysis. The logistics capability questionnaire was filled by customers, and the risk questionnaire was answered by managers and employees of transport companies. Six factors for the logistics capability and five factors for the risk were detected through factor analysis. Indicators were analyzed by canonical correlation using SPSS software. Findings from the canonical correlation analysis show a suitable linear combination and a significant correlation between the logistics capability and risk variables. In the first canonical coefficient, the amount of variance was 81%, and in the second canonical coefficient of variance, 78% was obtained between two canonical linear combinations. The results show that risk indices can cause changes in logistics capability up to 13.2%, and logistics capability indices can change up to 16.8% in the risk variable . Moreover, insurance and safety guarantee indicators and timely delivery of goods have the greatest impact on improving logistics, and fleet delays and fuel supply problems of the transport fleet have the greatest impact on increasing risk.
{"title":"The Relationship between Logistics Capability and Risk in Freight Transport Supply Chain Resilience with Canonical Correlation Analysis Approach","authors":"Mansour Jangizehi, Ahmad Gaini","doi":"10.52547/jimp.11.2.247","DOIUrl":"https://doi.org/10.52547/jimp.11.2.247","url":null,"abstract":"In this study, to find supply chain resilience strategies, 14 indicators for logistics capability and 13 indicators for risk were achieved from factor analysis. The logistics capability questionnaire was filled by customers, and the risk questionnaire was answered by managers and employees of transport companies. Six factors for the logistics capability and five factors for the risk were detected through factor analysis. Indicators were analyzed by canonical correlation using SPSS software. Findings from the canonical correlation analysis show a suitable linear combination and a significant correlation between the logistics capability and risk variables. In the first canonical coefficient, the amount of variance was 81%, and in the second canonical coefficient of variance, 78% was obtained between two canonical linear combinations. The results show that risk indices can cause changes in logistics capability up to 13.2%, and logistics capability indices can change up to 16.8% in the risk variable . Moreover, insurance and safety guarantee indicators and timely delivery of goods have the greatest impact on improving logistics, and fleet delays and fuel supply problems of the transport fleet have the greatest impact on increasing risk.","PeriodicalId":303885,"journal":{"name":"Journal of Industrial Management Perspective","volume":"27 25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128206692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Easa Narimani Ghourtoular, Naser Feg-Hi Farahmand, N. Pilevari, Kamaleddin Rahmani, M. Motadel
This paper aims to design a fuzzy inference system to evaluate the green supply chain of export manufacturing companies. This research has been applied from the point of view of purpose. The statistical population of this study included export manufacturing companies in the northwest of the country. The statistical sample is targeted, and 143 companies are determined. A research questionnaire based on the research literature was used to collect the data. In order to examine the validity of the questionnaire, while using formal validity, the validity of the structure has been used based on confirmatory factor analysis. Cronbach's alpha coefficient was also used to evaluate the reliability of the questionnaire. The research questionnaires were distributed among the statistical sample members of the research after confirming the validity and reliability. In order to evaluate the green supply chain of companies, a fuzzy inference system has been used based on triangular membership functions and Mamdani inference. The results show that the designed system is able to show how green the supply chain of companies is based on numerical values and linguistic terms.
{"title":"Design of Fuzzy Inference System for Green Supply Chain Evaluation of Export Manufacturing Companies","authors":"Easa Narimani Ghourtoular, Naser Feg-Hi Farahmand, N. Pilevari, Kamaleddin Rahmani, M. Motadel","doi":"10.52547/jimp.11.2.125","DOIUrl":"https://doi.org/10.52547/jimp.11.2.125","url":null,"abstract":"This paper aims to design a fuzzy inference system to evaluate the green supply chain of export manufacturing companies. This research has been applied from the point of view of purpose. The statistical population of this study included export manufacturing companies in the northwest of the country. The statistical sample is targeted, and 143 companies are determined. A research questionnaire based on the research literature was used to collect the data. In order to examine the validity of the questionnaire, while using formal validity, the validity of the structure has been used based on confirmatory factor analysis. Cronbach's alpha coefficient was also used to evaluate the reliability of the questionnaire. The research questionnaires were distributed among the statistical sample members of the research after confirming the validity and reliability. In order to evaluate the green supply chain of companies, a fuzzy inference system has been used based on triangular membership functions and Mamdani inference. The results show that the designed system is able to show how green the supply chain of companies is based on numerical values and linguistic terms.","PeriodicalId":303885,"journal":{"name":"Journal of Industrial Management Perspective","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123989057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hossein Ebrahimi Mahmoudi, Mir Saman Pishvaei, E. Teymouri
Abstrac As one of the essential commodities in the agricultural sector, rural farmers generally cultivate rice based on experience in agricultural fields. This method of cultivation has led to a waste of natural resources. In this study, the aim is to find suitable areas and determine the pattern of rice cultivation using a two-phase methodology. In the first phase, GIS integration and the best-worst method have been used to classify suitable areas for rice cultivation in Iran. The first phase's result is considered an input to the second phase, i.e., the optimization model to determine the pattern of rice cultivation. A multi-stage stochastic optimization approach has been used in the second phase to consider the weather uncertainty in all periods. Climatic conditions in each period are modeled in three scenarios. The application of the proposed model has been investigated in a case study in Iran. As a result, it has been observed that most of the suitable areas for rice cultivation are located in the north and western parts of Iran. Also, the suitable cultivation pattern for most rice farmers is the high-yield cultivation using the transplanting method.
{"title":"A Two-Stage Model for Rice Cultivation Preparation Considering Dynamic Uncertainty: A Case Study in Iran","authors":"Hossein Ebrahimi Mahmoudi, Mir Saman Pishvaei, E. Teymouri","doi":"10.52547/jimp.11.2.145","DOIUrl":"https://doi.org/10.52547/jimp.11.2.145","url":null,"abstract":"Abstrac As one of the essential commodities in the agricultural sector, rural farmers generally cultivate rice based on experience in agricultural fields. This method of cultivation has led to a waste of natural resources. In this study, the aim is to find suitable areas and determine the pattern of rice cultivation using a two-phase methodology. In the first phase, GIS integration and the best-worst method have been used to classify suitable areas for rice cultivation in Iran. The first phase's result is considered an input to the second phase, i.e., the optimization model to determine the pattern of rice cultivation. A multi-stage stochastic optimization approach has been used in the second phase to consider the weather uncertainty in all periods. Climatic conditions in each period are modeled in three scenarios. The application of the proposed model has been investigated in a case study in Iran. As a result, it has been observed that most of the suitable areas for rice cultivation are located in the north and western parts of Iran. Also, the suitable cultivation pattern for most rice farmers is the high-yield cultivation using the transplanting method.","PeriodicalId":303885,"journal":{"name":"Journal of Industrial Management Perspective","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131196469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mohammad Ali Torabandeh, Behrouz Dorri Nokorani, A. Motameni, M. Rabieh
In this article, by presenting the scope of national innovation capability in the context of a multi-sector system, a dynamic network model is introduced. In this system, to identify Iran's performance problem, at first by bibliometric studying and holding focus group sessions with experts, the steps and indicators of the processed model were identified and designed. Then, the dynamic network data envelopment analysis model was implemented to compare Iran's performance with other countries. The model results indicated that Iran's national innovation capability has a poor performance in the third phase of its three steps that include converting patents to high-tech products and creative goods. Then, to present the proposed policy to enhance Iran’s performance in the third step of the mentioned model, by using qualitative comparative analysis of fuzzy set (fSQCA), the combinations of institutional, human capital and research, infrastructure, market sophistication, and business sophistication dimensions were investigated. For calibration of these data, K-MEANS clustering method was used. The output of the mentioned comparative analysis indicated that the combination of the two dimensions of institutions and human capital and research in promoting the country's performance is sufficient.
{"title":"Comparative-fuzzy Analysis of National Innovation Capability Based on Results of Dynamic Network DEA Model","authors":"Mohammad Ali Torabandeh, Behrouz Dorri Nokorani, A. Motameni, M. Rabieh","doi":"10.52547/jimp.11.2.207","DOIUrl":"https://doi.org/10.52547/jimp.11.2.207","url":null,"abstract":"In this article, by presenting the scope of national innovation capability in the context of a multi-sector system, a dynamic network model is introduced. In this system, to identify Iran's performance problem, at first by bibliometric studying and holding focus group sessions with experts, the steps and indicators of the processed model were identified and designed. Then, the dynamic network data envelopment analysis model was implemented to compare Iran's performance with other countries. The model results indicated that Iran's national innovation capability has a poor performance in the third phase of its three steps that include converting patents to high-tech products and creative goods. Then, to present the proposed policy to enhance Iran’s performance in the third step of the mentioned model, by using qualitative comparative analysis of fuzzy set (fSQCA), the combinations of institutional, human capital and research, infrastructure, market sophistication, and business sophistication dimensions were investigated. For calibration of these data, K-MEANS clustering method was used. The output of the mentioned comparative analysis indicated that the combination of the two dimensions of institutions and human capital and research in promoting the country's performance is sufficient.","PeriodicalId":303885,"journal":{"name":"Journal of Industrial Management Perspective","volume":"206-207 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130700940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Seyed Mohammad Sajadiyan, R. Hosnavi, M. Abbasi, M. Karbasian, M. H. Karimi Gavareshki
Roadmap and especially technology roadmap is a management tool and technique to achieve future goals in order to link business to technology. With the increasing trend and the need to use different types of roadmaps, new tools are needed to analyze the complex relationships between layers and roadmap elements. The purpose of this study is to focus on a new tool for analyzing the relationships between roadmap layers with a combined method with a proposed framework. Previous research has addressed relationships between layers only with tools such as quality function deployment (QFD) and the linking grid. Although DSM and TRM have been extensively studied independently so far, this study, therefore, proposes an integrated six-step framework combining a multi-domain matrix and design structure matrix and fuzzy set theory in designing, creating, and developing technology roadmaps for Suggest systems to support decision making and case studies. In this study, multi-domain MDM matrix and fuzzy inference, and network theory were used in designing the technology roadmap. The advantage of using a multi-domain matrix is the simultaneous analysis of each domain specifically in the DSM format as well as the entire domain in the MDM format. The results of the present study indicate the provision of detailed instructions for managers to prepare a suitable roadmap.
{"title":"Integration of MDM and Fuzzy Inference System in Designing, Creating, and Developing TRM for Systems","authors":"Seyed Mohammad Sajadiyan, R. Hosnavi, M. Abbasi, M. Karbasian, M. H. Karimi Gavareshki","doi":"10.52547/jimp.11.1.211","DOIUrl":"https://doi.org/10.52547/jimp.11.1.211","url":null,"abstract":"Roadmap and especially technology roadmap is a management tool and technique to achieve future goals in order to link business to technology. With the increasing trend and the need to use different types of roadmaps, new tools are needed to analyze the complex relationships between layers and roadmap elements. The purpose of this study is to focus on a new tool for analyzing the relationships between roadmap layers with a combined method with a proposed framework. Previous research has addressed relationships between layers only with tools such as quality function deployment (QFD) and the linking grid. Although DSM and TRM have been extensively studied independently so far, this study, therefore, proposes an integrated six-step framework combining a multi-domain matrix and design structure matrix and fuzzy set theory in designing, creating, and developing technology roadmaps for Suggest systems to support decision making and case studies. In this study, multi-domain MDM matrix and fuzzy inference, and network theory were used in designing the technology roadmap. The advantage of using a multi-domain matrix is the simultaneous analysis of each domain specifically in the DSM format as well as the entire domain in the MDM format. The results of the present study indicate the provision of detailed instructions for managers to prepare a suitable roadmap.","PeriodicalId":303885,"journal":{"name":"Journal of Industrial Management Perspective","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132013269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mohammad Ali Tousi, Seyed Mahdi Sadat Rasoul, S. Shafia
After the success of Digikala as the largest online retailer in Iran, many online retailers emerged to achieve their appropriate market share. It seems that examining customer behavior in online retailers needs to be further explored and enhanced to achieve competitive power. The purpose of this study is to investigate the impact of pre-buying, buying, and post-buying processes on customer experience and the effects of customer experience on customer satisfaction, then customer satisfaction and customer experience on Repurchase behavior in online retailers. The current research is descriptive and applied. The community of this study is all those who have experience in buying from Digikala retailers. To determine the sample size, the Cochran formula was applied, and because of the infinite statistical population, a sample size of 384 people was selected. A researcher-made questionnaire was created, and a combination was used to collect data. In order to analyze the data obtained from the questionnaire, the structural equation modeling method was used. The hypothetical test was performed using descriptive and inferential statistics. The results suggest that pre-buying, buying, and postbuying processes affect the customer experience in Digikala online retail. Customer experience also affects customer satisfaction and re-purchasing from Digikala online retailers.
{"title":"Identifying the Factors That Affect the Customer Experience and Customer Satisfaction Impact on Repurchasing Behaviors in Online Retailers in IRAN","authors":"Mohammad Ali Tousi, Seyed Mahdi Sadat Rasoul, S. Shafia","doi":"10.52547/jimp.11.1.271","DOIUrl":"https://doi.org/10.52547/jimp.11.1.271","url":null,"abstract":"After the success of Digikala as the largest online retailer in Iran, many online retailers emerged to achieve their appropriate market share. It seems that examining customer behavior in online retailers needs to be further explored and enhanced to achieve competitive power. The purpose of this study is to investigate the impact of pre-buying, buying, and post-buying processes on customer experience and the effects of customer experience on customer satisfaction, then customer satisfaction and customer experience on Repurchase behavior in online retailers. The current research is descriptive and applied. The community of this study is all those who have experience in buying from Digikala retailers. To determine the sample size, the Cochran formula was applied, and because of the infinite statistical population, a sample size of 384 people was selected. A researcher-made questionnaire was created, and a combination was used to collect data. In order to analyze the data obtained from the questionnaire, the structural equation modeling method was used. The hypothetical test was performed using descriptive and inferential statistics. The results suggest that pre-buying, buying, and postbuying processes affect the customer experience in Digikala online retail. Customer experience also affects customer satisfaction and re-purchasing from Digikala online retailers.","PeriodicalId":303885,"journal":{"name":"Journal of Industrial Management Perspective","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127854471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this research, a multi-objective mathematical model is proposed for the airline multi-skilled crew scheduling problem. The multi-skilled crew can be assigned to flights and airplanes according to their skills. The objective functions of the proposed model are: (1) Maximizing the number of leave days planned according to the days announced by the flight crew, and (2) Minimizing the penalty costs associated with violation of minimum and maximum working hours. Several test problems have been designed based on the data acquired by the airline studied in this research. Due to the NP-hard essence of the model, we have employed two meta-heuristics, namely the multi-objective differential evolution (MODE) and Non-dominated Sorting Genetic Algorithm II (NSGA-II). These algorithms are calibrated using the Taguchi method. The algorithms have been compared based on several multi-objective performance measures. Each algorithm has been more successful in terms of some metrics. The comparisons between algorithms and sensitivity analysis show that the proposed model and algorithms can produce appropriate schedules for the airline crew scheduling problem.
{"title":"A Multi-Objective Mathematical Formulation for the Airline Crew Scheduling Problem: MODE and NSGA-II Solution Approaches","authors":"V. Baradaran, A. Hosseinian","doi":"10.52547/jimp.11.1.247","DOIUrl":"https://doi.org/10.52547/jimp.11.1.247","url":null,"abstract":"In this research, a multi-objective mathematical model is proposed for the airline multi-skilled crew scheduling problem. The multi-skilled crew can be assigned to flights and airplanes according to their skills. The objective functions of the proposed model are: (1) Maximizing the number of leave days planned according to the days announced by the flight crew, and (2) Minimizing the penalty costs associated with violation of minimum and maximum working hours. Several test problems have been designed based on the data acquired by the airline studied in this research. Due to the NP-hard essence of the model, we have employed two meta-heuristics, namely the multi-objective differential evolution (MODE) and Non-dominated Sorting Genetic Algorithm II (NSGA-II). These algorithms are calibrated using the Taguchi method. The algorithms have been compared based on several multi-objective performance measures. Each algorithm has been more successful in terms of some metrics. The comparisons between algorithms and sensitivity analysis show that the proposed model and algorithms can produce appropriate schedules for the airline crew scheduling problem.","PeriodicalId":303885,"journal":{"name":"Journal of Industrial Management Perspective","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116054427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
صنعت نفت در ساختار انرژی و اقتصاد جهانی سهم بسزایی دارد و برنامهریزی سطوح استراتژیک و عملیاتی زنجیره تأمین آن با هدف ارتقای موقعیت رقابتی کشورها در سطح جهانی و توسعه اقتصادی صورت میگیرد. در این پژوهش یک مدل ریاضی برای طراحی زنجیره تأمین نفت خام با در نظر گرفتن مسائل مربوط به مکانیابی تسهیلات، تخصیص تقاضا، برنامهریزی حملونقل و توزیع ارائه میشود. در مدل پیشنهادی، الزامات زیستمحیطی مربوط به انتشار گازهای گلخانهای در نظر گرفته خواهد شد و بهموجب آن میزان انتشار گازهای گلخانهای ناشی از حملونقل نفت نمیتواند از یک مقدار مشخص فراتر رود. نظر به اینکه در دنیای واقعی به ندرت میتوان مقدار دقیق پارامترها را مشخص کرد، عدمقطعیت پارامترهای بودجه، ظرفیت حملونقل، ظرفیت واحدهای بهرهبرداری، میزان صادرات، مقدار استخراج و تولید نفت خام، تقاضای محصولات پالایشگاهی و میزان تولید آنها در مدل پیشنهادی لحاظ میشود. برای برخورد با عدمقطعیت موجود در پارامترهای مدل از رویکرد بهینهسازی استوار استفاده میشود. نتایج عددی کارایی مدل پیشنهادی را تأیید میکنند و نشان میدهند با افزایش سطح عدمقطعیت سودآوری کاهش مییابد؛ اما میتوان با مهار عدمقطعیت پارامترها و مدیریت مناسب تولید و توزیع سودآوری زنجیره تأمین نفت را تضمین کرد.
{"title":"ارائه یک مدل بهینهسازی استوار برای طراحی استراتژیک و عملیاتی زنجیره تأمین نفت","authors":"ناعمه زرین پور, امیدواری زهرا","doi":"10.52547/JIMP.10.4.155","DOIUrl":"https://doi.org/10.52547/JIMP.10.4.155","url":null,"abstract":"صنعت نفت در ساختار انرژی و اقتصاد جهانی سهم بسزایی دارد و برنامهریزی سطوح استراتژیک و عملیاتی زنجیره تأمین آن با هدف ارتقای موقعیت رقابتی کشورها در سطح جهانی و توسعه اقتصادی صورت میگیرد. در این پژوهش یک مدل ریاضی برای طراحی زنجیره تأمین نفت خام با در نظر گرفتن مسائل مربوط به مکانیابی تسهیلات، تخصیص تقاضا، برنامهریزی حملونقل و توزیع ارائه میشود. در مدل پیشنهادی، الزامات زیستمحیطی مربوط به انتشار گازهای گلخانهای در نظر گرفته خواهد شد و بهموجب آن میزان انتشار گازهای گلخانهای ناشی از حملونقل نفت نمیتواند از یک مقدار مشخص فراتر رود. نظر به اینکه در دنیای واقعی به ندرت میتوان مقدار دقیق پارامترها را مشخص کرد، عدمقطعیت پارامترهای بودجه، ظرفیت حملونقل، ظرفیت واحدهای بهرهبرداری، میزان صادرات، مقدار استخراج و تولید نفت خام، تقاضای محصولات پالایشگاهی و میزان تولید آنها در مدل پیشنهادی لحاظ میشود. برای برخورد با عدمقطعیت موجود در پارامترهای مدل از رویکرد بهینهسازی استوار استفاده میشود. نتایج عددی کارایی مدل پیشنهادی را تأیید میکنند و نشان میدهند با افزایش سطح عدمقطعیت سودآوری کاهش مییابد؛ اما میتوان با مهار عدمقطعیت پارامترها و مدیریت مناسب تولید و توزیع سودآوری زنجیره تأمین نفت را تضمین کرد.","PeriodicalId":303885,"journal":{"name":"Journal of Industrial Management Perspective","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124134276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
با توجه به اهمیت موضوع اجرا و استقرار آموزش عالی ناب در دانشگاه، هدف پژوهش حاضر مدلسازی و رتبهبندی عوامل مؤثر بر آموزش عالی ناب از نظر اعضای هیئتعلمی «دانشگاه تهران» است. پژوهش حاضر از نظر هدف، کاربردی و از منظر گردآوری دادهها توصیفی ـ پیمایشی به شیوه همبستگی است. جامعه آماری پژوهش کلیه اعضای هیئتعلمی «پردیس علوم انسانی دانشگاه تهران» را دربرمیگیرد که از میان آنها تعداد 147 نفر به شیوه نمونهگیری تصادفی ساده انتخاب شدند. بهمنظور گردآوری دادهها از پرسشنامه پژوهشگرساخته استفاده و روایی پرسشنامهها با استفاده از روایی محتوایی و سازه و پایایی آن با استفاده از ضریب آلفای کرونباخ بررسی و تأیید شد. دادهها با استفاده از آزمونهای ضریب رگرسیون، تحلیل عاملی تأییدی، محاسبه مقادیر t، مدل معادلات ساختاری و تحلیل مسیر در نرمافزار Lisrel موردبررسی و تحلیل قرار گرفت. اعتبارسنجی مدل و نتایج تحلیل عاملی نشان داد که ابزار سنجش عوامل مؤثر بر آموزش عالی ناب دارای برازش مطلوبی است و مدل موردتأیید قرار گرفت. نتایج معادلات ساختاری و تحلیل مسیر حاکی از آن است که روابط معناداری بین متغیرها و سازههای مکنون وجود دارد و تعهد مدیریت و رهبری، چشمانداز و راهبرد دانشگاه با میانجیگری انتخاب افراد مناسب بر رضایت دانشجویان و کارایی آموزش اثرگذار است.
{"title":"مدلسازی و رتبهبندی عوامل مؤثر بر آموزش عالی ناب","authors":"زینب السادات مصطفوی, فاطمه نارنجی ثانی","doi":"10.52547/JIMP.10.4.91","DOIUrl":"https://doi.org/10.52547/JIMP.10.4.91","url":null,"abstract":"با توجه به اهمیت موضوع اجرا و استقرار آموزش عالی ناب در دانشگاه، هدف پژوهش حاضر مدلسازی و رتبهبندی عوامل مؤثر بر آموزش عالی ناب از نظر اعضای هیئتعلمی «دانشگاه تهران» است. پژوهش حاضر از نظر هدف، کاربردی و از منظر گردآوری دادهها توصیفی ـ پیمایشی به شیوه همبستگی است. جامعه آماری پژوهش کلیه اعضای هیئتعلمی «پردیس علوم انسانی دانشگاه تهران» را دربرمیگیرد که از میان آنها تعداد 147 نفر به شیوه نمونهگیری تصادفی ساده انتخاب شدند. بهمنظور گردآوری دادهها از پرسشنامه پژوهشگرساخته استفاده و روایی پرسشنامهها با استفاده از روایی محتوایی و سازه و پایایی آن با استفاده از ضریب آلفای کرونباخ بررسی و تأیید شد. دادهها با استفاده از آزمونهای ضریب رگرسیون، تحلیل عاملی تأییدی، محاسبه مقادیر t، مدل معادلات ساختاری و تحلیل مسیر در نرمافزار Lisrel موردبررسی و تحلیل قرار گرفت. اعتبارسنجی مدل و نتایج تحلیل عاملی نشان داد که ابزار سنجش عوامل مؤثر بر آموزش عالی ناب دارای برازش مطلوبی است و مدل موردتأیید قرار گرفت. نتایج معادلات ساختاری و تحلیل مسیر حاکی از آن است که روابط معناداری بین متغیرها و سازههای مکنون وجود دارد و تعهد مدیریت و رهبری، چشمانداز و راهبرد دانشگاه با میانجیگری انتخاب افراد مناسب بر رضایت دانشجویان و کارایی آموزش اثرگذار است.","PeriodicalId":303885,"journal":{"name":"Journal of Industrial Management Perspective","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121056794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
مهدی کریمی, فرشید نمامیان, فرهاد وفایی, علی بیک مرادی
با توجه به حیاتی بودن کارآفرینی و وابستگی آن به نوآوری، این پژوهش به دنبال ارائه یک روش تلفیقی برای تخمین اولویتبندی شاخصهای کارآفرینی و نوآوری با بهرهگیری از روشهای تصمیمگیری چندمعیاره (MCDM) شامل ابعاد فردی، سازمانی و فرهنگی است. سپس در چارچوب روش فراترکیب، تلفیقی از یافتهها در قالب دستهبندی شاخصها معرفی شد. بر مبنای روش فراتحلیل نظر خبرگان حوزه کارآفرینی و نوآوری گردآوری شد؛ همچنین به دو روش فرآیند تحلیل شبکهای (ANP) و آزمایشگاه ارزیابی و امتحان تصمیمگیری (DEMATEL) فرایند ارزیابی، شناسایی وزنها و اولویتبندی شاخصها صورت پذیرفت. این پژوهش بهوضوح نشان داد که تواناییهای فردی زمینهساز خلق نوآوری و کارآفرینی در سازمان هستند و قابلیتهای سازمان باید فضا و امکانات متناسب را در اختیار فرد قرار دهد تا به این دو مهم فعلیت بخشد. مهمترین معیارها بهترتیب انگیزه شغلی با وزن 3578/0 و آموزش و یادگیری در قالب سطح مهارت فردی با وزن 1240/0 شناخته شدند. مهمترین گزینه که میتواند بهعنوان هدف و الگو قرار گیرد، شرکت اول از سه شرکت تابعه شرکت بینالمللی کیسون است که از منظر اولویت بهترین جایگاه را با وزن بالای 4498/0 به خود اختصاص داده است. شرکتهای بعدی بهترتیب با وزنهای 2579/0 و 2132/0 در جایگاههای دوم و سوم قرار گرفتند.
{"title":"شناسایی و ارزیابی شاخصهای کارآفرینی و نوآوری شرکتهای بینالمللی هوشمند با استفاده از DEMATEL-ANP","authors":"مهدی کریمی, فرشید نمامیان, فرهاد وفایی, علی بیک مرادی","doi":"10.52547/JIMP.10.4.117","DOIUrl":"https://doi.org/10.52547/JIMP.10.4.117","url":null,"abstract":"با توجه به حیاتی بودن کارآفرینی و وابستگی آن به نوآوری، این پژوهش به دنبال ارائه یک روش تلفیقی برای تخمین اولویتبندی شاخصهای کارآفرینی و نوآوری با بهرهگیری از روشهای تصمیمگیری چندمعیاره (MCDM) شامل ابعاد فردی، سازمانی و فرهنگی است. سپس در چارچوب روش فراترکیب، تلفیقی از یافتهها در قالب دستهبندی شاخصها معرفی شد. بر مبنای روش فراتحلیل نظر خبرگان حوزه کارآفرینی و نوآوری گردآوری شد؛ همچنین به دو روش فرآیند تحلیل شبکهای (ANP) و آزمایشگاه ارزیابی و امتحان تصمیمگیری (DEMATEL) فرایند ارزیابی، شناسایی وزنها و اولویتبندی شاخصها صورت پذیرفت. این پژوهش بهوضوح نشان داد که تواناییهای فردی زمینهساز خلق نوآوری و کارآفرینی در سازمان هستند و قابلیتهای سازمان باید فضا و امکانات متناسب را در اختیار فرد قرار دهد تا به این دو مهم فعلیت بخشد. مهمترین معیارها بهترتیب انگیزه شغلی با وزن 3578/0 و آموزش و یادگیری در قالب سطح مهارت فردی با وزن 1240/0 شناخته شدند. مهمترین گزینه که میتواند بهعنوان هدف و الگو قرار گیرد، شرکت اول از سه شرکت تابعه شرکت بینالمللی کیسون است که از منظر اولویت بهترین جایگاه را با وزن بالای 4498/0 به خود اختصاص داده است. شرکتهای بعدی بهترتیب با وزنهای 2579/0 و 2132/0 در جایگاههای دوم و سوم قرار گرفتند.","PeriodicalId":303885,"journal":{"name":"Journal of Industrial Management Perspective","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117285724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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