Iranian Research Organisation for Science and TechnologyJournal of Technology Development Management2008-506011420240220The role of technological knowledge and entrepreneurial orientation on entrepreneurial success with the mediating role of psychological capital (case study: knowledge-based companies in Lorestan province)The role of technological knowledge and entrepreneurial orientation on entrepreneurial success with the mediating role of psychological capital (case study: knowledge-based companies in Lorestan province)942141810.22104/jtdm.2024.6371.3204FAAliShariatnejadlorestan university, management faculty, assistant professor0000-0001-8609-6960SayedhNasimMousaviMSC of Management Department, Malayer branch, Islamic Azad University, Malayer, Iran0000-0001-8124-2180ElaheManasdaviPhD in Human Resource Management, Faculty of Management and Economics, Lorestan University, Khorramabad, IranJournal Article20230702Today, most businesses need efficient and new knowledge and technology to succeed in their field of activity. The present study was conducted with the aim of analyzing the role of technological knowledge and entrepreneurial orientation on entrepreneurial success with the mediating role of psychological capital. This study has been conducted in terms of applied purpose, descriptive type and survey method. The statistical population in this study is 384 employees of knowledge-based companies in Lorestan province, who were selected by convenience sampling. In order to analyze the data, partial least squares method and Smart PLS-3 software were used. Convergent validity was used to measure validity, and Cronbach's alpha was used to measure reliability, and its coefficient is greater than 0.7 for all research constructs. The results show that technological knowledge has a positive and significant effect on entrepreneurial success and psychological capital. Entrepreneurial orientation has a positive and significant effect on psychological capital and entrepreneurial success. Also, psychological capital has a positive and significant effect on entrepreneurial success. Finally, it can be said that psychological capital plays a mediating role both in the relationship between technological knowledge and entrepreneurial success and in the relationship between entrepreneurial orientation and entrepreneurial successToday, most businesses need efficient and new knowledge and technology to succeed in their field of activity. The present study was conducted with the aim of analyzing the role of technological knowledge and entrepreneurial orientation on entrepreneurial success with the mediating role of psychological capital. This study has been conducted in terms of applied purpose, descriptive type and survey method. The statistical population in this study is 384 employees of knowledge-based companies in Lorestan province, who were selected by convenience sampling. In order to analyze the data, partial least squares method and Smart PLS-3 software were used. Convergent validity was used to measure validity, and Cronbach's alpha was used to measure reliability, and its coefficient is greater than 0.7 for all research constructs. The results show that technological knowledge has a positive and significant effect on entrepreneurial success and psychological capital. Entrepreneurial orientation has a positive and significant effect on psychological capital and entrepreneurial success. Also, psychological capital has a positive and significant effect on entrepreneurial success. Finally, it can be said that psychological capital plays a mediating role both in the relationship between technological knowledge and entrepreneurial success and in the relationship between entrepreneurial orientation and entrepreneurial successhttps://jtdm.irost.ir/article_1418_309928d4b100a5d75adff48a9bfc1ddb.pdfIranian Research Organisation for Science and TechnologyJournal of Technology Development Management2008-506011420240220Analyzing the harms of scientific collaboration networks in the country and providing policy solutions to overcome themAnalyzing the harms of scientific collaboration networks in the country and providing policy solutions to overcome them4377142110.22104/jtdm.2024.6800.3288FAMahbobehShahiPhd student of science and technology policy, Faculty of Economic and Administrative Sciences, Mazandaran UniversityMehrdadMadhoshi. Prof. Department of Industrial Management, Faculty of Economics and Administrative Sciences University of Mazandaran, Babolsar, IranNaderRazeghiAssociate professor in Sociology, Faculty of Humanities and Social Sciences, University of Mazandaran0000-0002-9479-3317Journal Article20240319پژوهش حاضر با هدف واکاوی آسیبهای شبکههای همکاری علمی کشور و ارائه راهکارهای سیاستی برای غلبه بر آنها، با رویکرد آمیخته صورت گرفت. مشارکتکنندگان بخش کیفی شامل 19 نفر از خبرگان شبکههای همکاری علم و فناوری کشور بودند که با استفاده از روش نمونهگیری هدفمند و گلوله برفی، با اشباع نظری انتخاب شدند. برای تجزیهوتحلیل مصاحبههای نیمهساختاریافته از روش نظریه دادهبنیاد و نرمافزارMAXQDA استفاده شد. در بخش کمی با مشارکت 11 نفر از خبرگان و بهکارگیری روش ISM به سطحبندی مولفهها پرداخته شده است. یافتههای کیفی، در قالب یک الگوی پارادایمی شامل شرایط، راهبردها و پیامدها ارائهشده است. آسیبهای شبکههای همکاری علمی کشور، در دو مقوله مداخلهگر (شامل آسیبهای سیاستهای علم و فناوری کشور، فضای علم و فناوری کشور) و زمینهای (ضعف در ساختار شبکه، ضعف در مدیریت شبکه و ضعفهای فرهنگی بین اعضا) قرار گرفت. بر این اساس راهکارهای سیاستی در محور راهبردها، شامل 5مورد راهبرد برنامههای شبکه، تقویت هم افزایی در اعضای شبکه، ایجاد مدیریت اثربخش شبکه، ایجاد درک مشترک در بین اعضای شبکه و ارزیابی کارکرد شبکهها ارائه شد. یافتههای ISM حاکی از آن است که فضای علم و فناوری کشور و سیاستهای علم و فناوری کشور دارای بیشترین تاثیرگذاری و وابستگی کم از سایر عوامل هستند.پژوهش حاضر با هدف واکاوی آسیبهای شبکههای همکاری علمی کشور و ارائه راهکارهای سیاستی برای غلبه بر آنها، با رویکرد آمیخته صورت گرفت. مشارکتکنندگان بخش کیفی شامل 19 نفر از خبرگان شبکههای همکاری علم و فناوری کشور بودند که با استفاده از روش نمونهگیری هدفمند و گلوله برفی، با اشباع نظری انتخاب شدند. برای تجزیهوتحلیل مصاحبههای نیمهساختاریافته از روش نظریه دادهبنیاد و نرمافزارMAXQDA استفاده شد. در بخش کمی با مشارکت 11 نفر از خبرگان و بهکارگیری روش ISM به سطحبندی مولفهها پرداخته شده است. یافتههای کیفی، در قالب یک الگوی پارادایمی شامل شرایط، راهبردها و پیامدها ارائهشده است. آسیبهای شبکههای همکاری علمی کشور، در دو مقوله مداخلهگر (شامل آسیبهای سیاستهای علم و فناوری کشور، فضای علم و فناوری کشور) و زمینهای (ضعف در ساختار شبکه، ضعف در مدیریت شبکه و ضعفهای فرهنگی بین اعضا) قرار گرفت. بر این اساس راهکارهای سیاستی در محور راهبردها، شامل 5مورد راهبرد برنامههای شبکه، تقویت هم افزایی در اعضای شبکه، ایجاد مدیریت اثربخش شبکه، ایجاد درک مشترک در بین اعضای شبکه و ارزیابی کارکرد شبکهها ارائه شد. یافتههای ISM حاکی از آن است که فضای علم و فناوری کشور و سیاستهای علم و فناوری کشور دارای بیشترین تاثیرگذاری و وابستگی کم از سایر عوامل هستند.https://jtdm.irost.ir/article_1421_9aa42b31882ec039965f3c4923ce901b.pdfIranian Research Organisation for Science and TechnologyJournal of Technology Development Management2008-506011420240220Identification and prioritization of artificial intelligence applications in supply chain 4.0 (retail industry case study)Identification and prioritization of artificial intelligence applications in supply chain 4.0 (retail industry case study)78106142210.22104/jtdm.2024.6904.3317FAMehdiMohammadiJalilHeidaryd DahooieAssociate professor, Technology Management, Faculty of management, university of Tehran, Tehran, IranAtefehAhmadiFaculty of Management, University of TehranJournal Article20240529Today, artificial intelligence has brought about huge changes in the digitization of the supply chain in the retail industry. <br />Previous researches have identified some of the applications of artificial intelligence in the retail industry, but the list of known applications is not comprehensive and has not been prioritized. Since it is important to assess the possibility of success in adapting to the challenges of this field. The aim of the research is to identify and prioritize the applications of artificial intelligence in supply chain 4.0 in Iran's retail industry, which have less implementation challenges.<br />In this research, first of all, the articles on the use of artificial intelligence in the 4.0 supply chain in the retail industry have been reviewed using the meta-combination method, and the challenges have been identified using the Denap method and the prioritization of applications has been determined using the Aras method.The results show the applications of providing personalized recommendations, the integrated and intelligent system of warehouse management, the intelligent system of welcoming customers and the challenges of regulatory complexity in the implementation of artificial intelligence system, the high cost of IT infrastructure, the unavailability of suitable ways to train chatbots from the highest have priority.Today, artificial intelligence has brought about huge changes in the digitization of the supply chain in the retail industry. <br />Previous researches have identified some of the applications of artificial intelligence in the retail industry, but the list of known applications is not comprehensive and has not been prioritized. Since it is important to assess the possibility of success in adapting to the challenges of this field. The aim of the research is to identify and prioritize the applications of artificial intelligence in supply chain 4.0 in Iran's retail industry, which have less implementation challenges.<br />In this research, first of all, the articles on the use of artificial intelligence in the 4.0 supply chain in the retail industry have been reviewed using the meta-combination method, and the challenges have been identified using the Denap method and the prioritization of applications has been determined using the Aras method.The results show the applications of providing personalized recommendations, the integrated and intelligent system of warehouse management, the intelligent system of welcoming customers and the challenges of regulatory complexity in the implementation of artificial intelligence system, the high cost of IT infrastructure, the unavailability of suitable ways to train chatbots from the highest have priority.https://jtdm.irost.ir/article_1422_0ed9422357395a0d4879191c66f4faa2.pdfIranian Research Organisation for Science and TechnologyJournal of Technology Development Management2008-506011420240220Identifying and analyzing the key factors and consequences of implementing cyber entrepreneurshipIdentifying and analyzing the key factors and consequences of implementing cyber entrepreneurship107133142410.22104/jtdm.2024.6262.3172FAAliShariatnejadlorestan university, management faculty, assistant professor0000-0001-8609-6960RezvanMennatiGraduated from Master of Business Administration, Lorestan University, Khorramabad, Iran0000-0002-5896-2646MaryamMousavizadehGraduated from Master of Business Administration, Lorestan University, Khorramabad,Journal Article20230503Nowadays, the advancement of Science and technology and the rapid changes in the course of life are closing the way to repetitive methods and requiring new and creative solutions. In the meantime, cyber entrepreneurship uses innovation and initiative to harness the potential of technology to solve problems, thus creating the basis for the formation of new jobs. Therefore, the present study was conducted with the aim of identifying and analyzing the key success factors and consequences of implementing cyber entrepreneurship. The present study is a mixed study that has been done qualitatively and quantitatively. This research is a survey and exploratory method in terms of practical purpose and data collection method, which has an inductive comparative research approach. The statistical research community, experts consist of managers of start-ups, startups and online businesses of the province of larestan, whose sample members were selected using the targeted sampling method and based on the principle of theoretical saturation. The data collection tool is in the qualitative part of the interview and in the quantitative part of the questionnaire, where the validity and reliability of the tools were analyzed using the Guba and Lincoln partial strength indicators for the interview and the content validNowadays, the advancement of Science and technology and the rapid changes in the course of life are closing the way to repetitive methods and requiring new and creative solutions. In the meantime, cyber entrepreneurship uses innovation and initiative to harness the potential of technology to solve problems, thus creating the basis for the formation of new jobs. Therefore, the present study was conducted with the aim of identifying and analyzing the key success factors and consequences of implementing cyber entrepreneurship. The present study is a mixed study that has been done qualitatively and quantitatively. This research is a survey and exploratory method in terms of practical purpose and data collection method, which has an inductive comparative research approach. The statistical research community, experts consist of managers of start-ups, startups and online businesses of the province of larestan, whose sample members were selected using the targeted sampling method and based on the principle of theoretical saturation. The data collection tool is in the qualitative part of the interview and in the quantitative part of the questionnaire, where the validity and reliability of the tools were analyzed using the Guba and Lincoln partial strength indicators for the interview and the content validhttps://jtdm.irost.ir/article_1424_489d0396e6826eb0c1e611d82ca8b215.pdfIranian Research Organisation for Science and TechnologyJournal of Technology Development Management2008-506011420240220Presenting a management model for the development of emerging technologies based on the stabilization of supply chains in the agricultural industryPresenting a management model for the development of emerging technologies based on the stabilization of supply chains in the agricultural industry134174142510.22104/jtdm.2024.5872.3075FASeyed AmiraliDidegahPhD Student Department of Industrial Management, Faculty of Management, University of Tehran, Tehran, Iran.TahmooresSohrabiAssistant Professor of Industrial Management Department. Central Tehran Branch, Islamic Azad University, Tehran, Iran. (Corresponding author)Journal Article20220925The purpose of this research is to provide a management model for the development of emerging technologies based on the stabilization of supply chains in the agricultural industry. The type of research is applied in terms of purpose and exploratory-mixed in terms of paradigm. In the first step, the effective factors were extracted through a systematic review of the research background and confirmed through a semi-structured interview with 15 university experts and managers of the agricultural jihad using the Delphi method. The output of this stage was 184 components and 34 subcategories, which were categorized into six dimensions based on the qualitative method of the theory arising from the data. In the second step, the dimensions were verified by the structural equation method with Amos software, and it was found that the selection of concepts, the results of the quantitative part confirmed the findings of the qualitative part. Intervening conditions, background conditions and central phenomenon indirectly have a positive and significant relationship with the consequences and causal conditions indirectly with the consequences. Also, the causal conditions indirectly have a positive effect on the management model strategies for the development of emerging technologies based on the stabilization of supply chains.The purpose of this research is to provide a management model for the development of emerging technologies based on the stabilization of supply chains in the agricultural industry. The type of research is applied in terms of purpose and exploratory-mixed in terms of paradigm. In the first step, the effective factors were extracted through a systematic review of the research background and confirmed through a semi-structured interview with 15 university experts and managers of the agricultural jihad using the Delphi method. The output of this stage was 184 components and 34 subcategories, which were categorized into six dimensions based on the qualitative method of the theory arising from the data. In the second step, the dimensions were verified by the structural equation method with Amos software, and it was found that the selection of concepts, the results of the quantitative part confirmed the findings of the qualitative part. Intervening conditions, background conditions and central phenomenon indirectly have a positive and significant relationship with the consequences and causal conditions indirectly with the consequences. Also, the causal conditions indirectly have a positive effect on the management model strategies for the development of emerging technologies based on the stabilization of supply chains.https://jtdm.irost.ir/article_1425_a424ed4bd3a7d6aea720b86d4a360f75.pdfIranian Research Organisation for Science and TechnologyJournal of Technology Development Management2008-506011420240220Intra-organizational drivers of business model innovation in developers of Defense Complex Products and SystemsIntra-organizational drivers of business model innovation in developers of Defense Complex Products and Systems175210142610.22104/jtdm.2024.4987.2823FAMortezaMaroufani AslDepartment of Industrial Management, North Tehran Branch, Islamic Azad University, Tehran IranGholamrezaTavakoliFaculty of Management, Industrial Engineering, Malek Ashtar University of Technology, Tehran, IranHassanFarsijaniFaculty of Management, Shahid Beheshti University, Tehran, IranMohammad HoseinKarimi GavareshkiFaculty of Management and Industrial Engineering, Malek Ashtar University, Tehran, IranJournal Article20210609The internal drivers of business model innovation have been introduced as a research stream. Not much knowledge about these drivers has been developed for developers of complex products. The purpose of this research is to identify the aforementioned drivers with a mixed methodology and an exploratory approach. The statistical population includes experts in the development of complex defense products, who were selected by the purposeful sampling method. The triangulation approach (review of research background, review of industry strategic documents and formation of focal groups) was used to identify the mentioned drivers. 81 experts participated in 8 focus groups. Thematic analysis method was used to extract important drivers. To achieve group agreement, 26 policy-level experts participated in two fuzzy Delphi steps. 54 sub-drivers related to 8 main drivers in order of governance and effective policy-making; entrepreneurial leadership; creative and motivated human capital, generating assets and stabilizing resources; Open and effective approach in knowledge, research, and innovation; flexibility of manufacturing processes; development of cooperation and long-term relationships with the network; Market development and intimate relationships with customers were identified. Sub-drivers with priority corresponding to each main driver were identified.The internal drivers of business model innovation have been introduced as a research stream. Not much knowledge about these drivers has been developed for developers of complex products. The purpose of this research is to identify the aforementioned drivers with a mixed methodology and an exploratory approach. The statistical population includes experts in the development of complex defense products, who were selected by the purposeful sampling method. The triangulation approach (review of research background, review of industry strategic documents and formation of focal groups) was used to identify the mentioned drivers. 81 experts participated in 8 focus groups. Thematic analysis method was used to extract important drivers. To achieve group agreement, 26 policy-level experts participated in two fuzzy Delphi steps. 54 sub-drivers related to 8 main drivers in order of governance and effective policy-making; entrepreneurial leadership; creative and motivated human capital, generating assets and stabilizing resources; Open and effective approach in knowledge, research, and innovation; flexibility of manufacturing processes; development of cooperation and long-term relationships with the network; Market development and intimate relationships with customers were identified. Sub-drivers with priority corresponding to each main driver were identified.https://jtdm.irost.ir/article_1426_299fb2142d7de959380f91c01c3a293c.pdf