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<Article>
<Journal>
				<PublisherName>Technology Development Institute</PublisherName>
				<JournalTitle>Quarterly journal of Industrial Technology Development</JournalTitle>
				<Issn>2676-5403</Issn>
				<Volume>24</Volume>
				<Issue>63</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>03</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Identifying and prioritizing success criteria for technology transfer and development projects in the petrochemical field</ArticleTitle>
<VernacularTitle>Identifying and prioritizing success criteria for technology transfer and development projects in the petrochemical field</VernacularTitle>
			<FirstPage>3</FirstPage>
			<LastPage>14</LastPage>
			<ELocationID EIdType="pii">725701</ELocationID>
			
<ELocationID EIdType="doi">10.22034/jtd.2025.2052537.1993</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Meisam</FirstName>
					<LastName>Amirabadi</LastName>
<Affiliation>Islamic Azad Uni</Affiliation>
<Identifier Source="ORCID">0009-0003-8672-3794</Identifier>

</Author>
<Author>
					<FirstName>Mohammad Javad</FirstName>
					<LastName>Ershadi</LastName>
<Affiliation>Iranian Research Institute for Information Science &amp; Technology (IRANDOC)</Affiliation>
<Identifier Source="ORCID">0000-0002-7006-7580</Identifier>

</Author>
<Author>
					<FirstName>Maryam</FirstName>
					<LastName>Fazelimoghadam</LastName>
<Affiliation>SRBIAU</Affiliation>
<Identifier Source="ORCID">0009-0005-2670-764X</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>02</Month>
					<Day>09</Day>
				</PubDate>
			</History>
		<Abstract>The transfer and absorption of technology in the third world is a topic that has been discussed scientifically, culturally, politically and economically in developing countries, western research societies and international organizations. In this research, the identification and prioritization of the success criteria of technology transfer and development projects in the field of petrochemicals have been discussed. The research method in this research is applied based on the purpose, but descriptive based on the research method. A researcher-made questionnaire was used to collect information. n this research, it is a combination of two Delphi methods and the best-worst method to identify and prioritize the success criteria of technology transfer and development projects in the petrochemical field. In the field of success factors of technology transfer and development projects, 20 effective factors were identified and classified in 4 dimensions. The results of the research show that the criterion of economic achievements, the criterion of research of strategic goals, and the criterion of acquiring scientific and technological capabilities have won the first to third rank, respectively. Among the sub-criteria of economic achievements and impact on the market; Improving the economic indicators of the company, increasing the share and raising the quality of the products have been ranked first to third respectively. Among the sub-criteria of increasing technical power; Increasing the production capacity, developing new products and developing skills, and finally improving the future prospects have been ranked first to third respectively.</Abstract>
			<OtherAbstract Language="FA">The transfer and absorption of technology in the third world is a topic that has been discussed scientifically, culturally, politically and economically in developing countries, western research societies and international organizations. In this research, the identification and prioritization of the success criteria of technology transfer and development projects in the field of petrochemicals have been discussed. The research method in this research is applied based on the purpose, but descriptive based on the research method. A researcher-made questionnaire was used to collect information. n this research, it is a combination of two Delphi methods and the best-worst method to identify and prioritize the success criteria of technology transfer and development projects in the petrochemical field. In the field of success factors of technology transfer and development projects, 20 effective factors were identified and classified in 4 dimensions. The results of the research show that the criterion of economic achievements, the criterion of research of strategic goals, and the criterion of acquiring scientific and technological capabilities have won the first to third rank, respectively. Among the sub-criteria of economic achievements and impact on the market; Improving the economic indicators of the company, increasing the share and raising the quality of the products have been ranked first to third respectively. Among the sub-criteria of increasing technical power; Increasing the production capacity, developing new products and developing skills, and finally improving the future prospects have been ranked first to third respectively.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">technology transfer</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">prioritization and identification of success criteria</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">transfer of technical knowledge</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jtd.iranjournals.ir/article_725701_d36d9bc17d78827157c97f745e7b779f.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Technology Development Institute</PublisherName>
				<JournalTitle>Quarterly journal of Industrial Technology Development</JournalTitle>
				<Issn>2676-5403</Issn>
				<Volume>24</Volume>
				<Issue>63</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>03</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Providing a Framework for Evaluating and Selecting Decentralized and Private Blockchain-Based Platforms</ArticleTitle>
<VernacularTitle>Providing a Framework for Evaluating and Selecting Decentralized and Private Blockchain-Based Platforms</VernacularTitle>
			<FirstPage>15</FirstPage>
			<LastPage>28</LastPage>
			<ELocationID EIdType="pii">736114</ELocationID>
			
<ELocationID EIdType="doi">10.22034/jtd.2026.1987364.1823</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Fatemeh</FirstName>
					<LastName>Askari</LastName>
<Affiliation>Department of Management, Shiraz University</Affiliation>
<Identifier Source="ORCID">0000-0003-0681-0525</Identifier>

</Author>
<Author>
					<FirstName>Maryam</FirstName>
					<LastName>Nekooeezade</LastName>
<Affiliation>Assistant Professor, Department of Management, Faculty of Economics, Management and Social Sciences, Shiraz University, Iran</Affiliation>
<Identifier Source="ORCID">0000-0002-9485-3594</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2023</Year>
					<Month>01</Month>
					<Day>12</Day>
				</PubDate>
			</History>
		<Abstract>The extent and importance of the digital economy in a world that increasingly welcomes the creation and application of emerging innovations is not hidden from anyone. Currently, the digital economy has changed the common forms of business actions and the ways of functioning and interacting with organizations, and its evolution cycle is still on its development path with the development of several transformative technologies such as blockchain. The new generation of blockchain with the potential to be used in commercial and public industries leads to the elimination of opaque, redundant, and often unprotected organizational structures. However, the implementation of private blockchain requires correct decisions of consortia and organizations in the selection of service providers. Hence, the present study aims to provide a decision-making process for the evaluation and selection of blockchain platforms in enterprise applications. To achieve the goal, a three-step process including extracting effective criteria for evaluating private blockchains, determining the importance and weight of the identified components, and Comparative analysis of organization options have been performed. The research findings show that 9 measures of security (with an importance coefficient of 0.16), fault tolerance (0.14), consensus algorithms (0.13), scalability (0.12), compatibility and interaction (0.11), cost factors (0.11), performance (0.10), ease of use (0.08), and popularity (0.03), are the most essential factors in evaluating private and permissioned blockchains. Also, the results of the comparison of private blockchain platforms show that Hyperledger Fabric is the most common platform used by organizations and is in a distinct position compared to competitors and other similar platforms.</Abstract>
			<OtherAbstract Language="FA">The extent and importance of the digital economy in a world that increasingly welcomes the creation and application of emerging innovations is not hidden from anyone. Currently, the digital economy has changed the common forms of business actions and the ways of functioning and interacting with organizations, and its evolution cycle is still on its development path with the development of several transformative technologies such as blockchain. The new generation of blockchain with the potential to be used in commercial and public industries leads to the elimination of opaque, redundant, and often unprotected organizational structures. However, the implementation of private blockchain requires correct decisions of consortia and organizations in the selection of service providers. Hence, the present study aims to provide a decision-making process for the evaluation and selection of blockchain platforms in enterprise applications. To achieve the goal, a three-step process including extracting effective criteria for evaluating private blockchains, determining the importance and weight of the identified components, and Comparative analysis of organization options have been performed. The research findings show that 9 measures of security (with an importance coefficient of 0.16), fault tolerance (0.14), consensus algorithms (0.13), scalability (0.12), compatibility and interaction (0.11), cost factors (0.11), performance (0.10), ease of use (0.08), and popularity (0.03), are the most essential factors in evaluating private and permissioned blockchains. Also, the results of the comparison of private blockchain platforms show that Hyperledger Fabric is the most common platform used by organizations and is in a distinct position compared to competitors and other similar platforms.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Blockchain,,;,</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Disruptive Innovation,,;,</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Distributed Ledger,,;,</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Peer-to-Peer network,,;,</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Consensus Mechanism,,;,</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">multi-criteria decision making</Param>
			</Object>
		</ObjectList>
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</Article>

<Article>
<Journal>
				<PublisherName>Technology Development Institute</PublisherName>
				<JournalTitle>Quarterly journal of Industrial Technology Development</JournalTitle>
				<Issn>2676-5403</Issn>
				<Volume>24</Volume>
				<Issue>63</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>03</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Presenting a Model of the roles of innovation intermediaries in pharmaceutical biotechnology industrialization</ArticleTitle>
<VernacularTitle>Presenting a Model of the roles of innovation intermediaries in pharmaceutical biotechnology industrialization</VernacularTitle>
			<FirstPage>29</FirstPage>
			<LastPage>44</LastPage>
			<ELocationID EIdType="pii">736432</ELocationID>
			
<ELocationID EIdType="doi">10.22034/jtd.2026.2047713.1979</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Mahdi</FirstName>
					<LastName>Elyasi</LastName>
<Affiliation>Faculty member of Allameh Tabatabaei University</Affiliation>
<Identifier Source="ORCID">0000-0002-9883-3187</Identifier>

</Author>
<Author>
					<FirstName>Rouhollah</FirstName>
					<LastName>Zolfaghari</LastName>
<Affiliation>PhD student at Allameh Tabatabaei University</Affiliation>
<Identifier Source="ORCID">0009-0009-1811-7104</Identifier>

</Author>
<Author>
					<FirstName>Maghsud</FirstName>
					<LastName>Amiri</LastName>
<Affiliation>Faculty member of Allameh Tabatabaei University</Affiliation>
<Identifier Source="ORCID">0000-0002-0650-2584</Identifier>

</Author>
<Author>
					<FirstName>Seyedmohamdali</FirstName>
					<LastName>Khatami</LastName>
<Affiliation>Faculty member of Allameh Tabatabaei University</Affiliation>
<Identifier Source="ORCID">0000-0003-0903-6184</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2024</Year>
					<Month>12</Month>
					<Day>29</Day>
				</PubDate>
			</History>
		<Abstract>Innovation intermediary institutions have been formed as one of the key players in the Technological Innovation System (TIS) with the aim of facilitating the innovation process, and they have different functions, and these functions are developing and expanding day by day. Today, the industrialization of technology has become an important and strategic necessity in the innovation process. Industrialization of technological achievements, as one of the most basic functions of innovation intermediary institutions, provides significant economic values ​​for enterprises, while ensuring the sustainability and continuity of research activities, and also accelerates the growth of the knowledge-based economy. Innovation intermediaries can play a significant role in accelerating the industrialization of technology. Next, considering that the approach of the present research is qualitative, a role model for innovation intermediary institutions in the industrialization of Iranian biotechnology was developed using content analysis, a review of upstream documents, and semi-structured interviews with 25 biotechnology sector activists in the country. According to the results of the interviews, innovation intermediary institutions can play an effective role in helping the industrialization of biotechnology. The research findings identify 15 roles in 5 functional groups: development of scaling-up infrastructure, development of supporting industries, development of complementary products, development of technology and licensing, and facilitation of the business environment, as the role of innovation intermediary institutions in industrialization, and provide recommendations and solutions to improve the situation.</Abstract>
			<OtherAbstract Language="FA">Innovation intermediary institutions have been formed as one of the key players in the Technological Innovation System (TIS) with the aim of facilitating the innovation process, and they have different functions, and these functions are developing and expanding day by day. Today, the industrialization of technology has become an important and strategic necessity in the innovation process. Industrialization of technological achievements, as one of the most basic functions of innovation intermediary institutions, provides significant economic values ​​for enterprises, while ensuring the sustainability and continuity of research activities, and also accelerates the growth of the knowledge-based economy. Innovation intermediaries can play a significant role in accelerating the industrialization of technology. Next, considering that the approach of the present research is qualitative, a role model for innovation intermediary institutions in the industrialization of Iranian biotechnology was developed using content analysis, a review of upstream documents, and semi-structured interviews with 25 biotechnology sector activists in the country. According to the results of the interviews, innovation intermediary institutions can play an effective role in helping the industrialization of biotechnology. The research findings identify 15 roles in 5 functional groups: development of scaling-up infrastructure, development of supporting industries, development of complementary products, development of technology and licensing, and facilitation of the business environment, as the role of innovation intermediary institutions in industrialization, and provide recommendations and solutions to improve the situation.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Functional approach to technological innovation system</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">biotechnology</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">biotechnology industrialization</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Technological Innovation System</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">intermediary institution</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jtd.iranjournals.ir/article_736432_0e8aff3d18fc69779ebfa94d40e60a61.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Technology Development Institute</PublisherName>
				<JournalTitle>Quarterly journal of Industrial Technology Development</JournalTitle>
				<Issn>2676-5403</Issn>
				<Volume>24</Volume>
				<Issue>63</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>03</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Designing and explaining an organizational ambidexterity model for commercialization in technology-based organizations with a mixed approach</ArticleTitle>
<VernacularTitle>Designing and explaining an organizational ambidexterity model for commercialization in technology-based organizations with a mixed approach</VernacularTitle>
			<FirstPage>45</FirstPage>
			<LastPage>64</LastPage>
			<ELocationID EIdType="pii">724963</ELocationID>
			
<ELocationID EIdType="doi">10.22034/jtd.2025.2058761.2002</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Mohammad Reza</FirstName>
					<LastName>Pourabedy</LastName>
<Affiliation>Faculty member, Business Management Department, Faculty of Humanities, University of Science and Culture</Affiliation>
<Identifier Source="ORCID">0009-0009-5908-859X</Identifier>

</Author>
<Author>
					<FirstName>Ali</FirstName>
					<LastName>Ghafary</LastName>
<Affiliation>PhD in Technology Management, Islamic Azad University, South Tehran Branch</Affiliation>
<Identifier Source="ORCID">0009-0000-5277-4081</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>04</Month>
					<Day>23</Day>
				</PubDate>
			</History>
		<Abstract>The current research aims to develop a theory in the field of organizational ambidexterity to better understand this phenomenon in the technology-based businesses of ACECR. The research strategy in the qualitative phase is based on grounded theory, and the data analysis method used in this research is the systematic approach (Strauss and Corbin&#039;s systematic model). Data collection was conducted through interviews. Accordingly, in the qualitative phase, 16 interviews were conducted with experts from ACECR&#039;s technology-based organizations, and 4 supplementary interviews were also conducted to achieve theoretical saturation. In the quantitative phase, the research method was descriptive-survey, and the data collection tool in this phase was a questionnaire. The results showed that organizational ambidexterity management was identified as the core category in this research. Its sub-concepts include ambidexterity structure management, innovative culture management, and ambidexterity processes management, which constituted the core category. Based on the obtained results, the causal conditions in this research are ambidextrous management and leadership, ambidextrous human resources, and multi-faceted structures. On the other hand, the contexts were organizational ambidexterity culture, upstream documents, and Jihadi culture. Furthermore, the strategies resulting from the grounded theory model are designing ambidextrous human resource processes, designing a technology commercialization model, designing an organizational ambidexterity evaluation system, and designing a resource allocation system. On the other hand, institutional communications in the field of science and technology and the organizational ambidexterity environment were identified as intervening factors. Finally, value creation, completion of the technology chain, organizational development, and organizational paradox management were the consequences identified and explained as factors influencing organizational ambidexterity in line with commercialization in technology-based organizations.</Abstract>
			<OtherAbstract Language="FA">The current research aims to develop a theory in the field of organizational ambidexterity to better understand this phenomenon in the technology-based businesses of ACECR. The research strategy in the qualitative phase is based on grounded theory, and the data analysis method used in this research is the systematic approach (Strauss and Corbin&#039;s systematic model). Data collection was conducted through interviews. Accordingly, in the qualitative phase, 16 interviews were conducted with experts from ACECR&#039;s technology-based organizations, and 4 supplementary interviews were also conducted to achieve theoretical saturation. In the quantitative phase, the research method was descriptive-survey, and the data collection tool in this phase was a questionnaire. The results showed that organizational ambidexterity management was identified as the core category in this research. Its sub-concepts include ambidexterity structure management, innovative culture management, and ambidexterity processes management, which constituted the core category. Based on the obtained results, the causal conditions in this research are ambidextrous management and leadership, ambidextrous human resources, and multi-faceted structures. On the other hand, the contexts were organizational ambidexterity culture, upstream documents, and Jihadi culture. Furthermore, the strategies resulting from the grounded theory model are designing ambidextrous human resource processes, designing a technology commercialization model, designing an organizational ambidexterity evaluation system, and designing a resource allocation system. On the other hand, institutional communications in the field of science and technology and the organizational ambidexterity environment were identified as intervening factors. Finally, value creation, completion of the technology chain, organizational development, and organizational paradox management were the consequences identified and explained as factors influencing organizational ambidexterity in line with commercialization in technology-based organizations.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">organizational ambidexterity</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Exploration and Exploitation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">ambidexterity of technological organizations</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">technological businesses</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">mixed approach</Param>
			</Object>
		</ObjectList>
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</Article>

<Article>
<Journal>
				<PublisherName>Technology Development Institute</PublisherName>
				<JournalTitle>Quarterly journal of Industrial Technology Development</JournalTitle>
				<Issn>2676-5403</Issn>
				<Volume>24</Volume>
				<Issue>63</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>03</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Prediction of the future market share of Iranian passenger railway transport companies using the Markov chain model with the green innovation capability assessment approach</ArticleTitle>
<VernacularTitle>Prediction of the future market share of Iranian passenger railway transport companies using the Markov chain model with the green innovation capability assessment approach</VernacularTitle>
			<FirstPage>65</FirstPage>
			<LastPage>74</LastPage>
			<ELocationID EIdType="pii">726280</ELocationID>
			
<ELocationID EIdType="doi">10.22034/jtd.2025.2052113.1989</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Omid</FirstName>
					<LastName>Sharifimehr</LastName>
<Affiliation>Department of Technology Management, S T. C., Islamic Azad University, Tehran, Iran</Affiliation>
<Identifier Source="ORCID">0000-0001-7085-7972</Identifier>

</Author>
<Author>
					<FirstName>Ghanbar</FirstName>
					<LastName>Abbaspour Esfeden</LastName>
<Affiliation>Department of Industrial Management, S T. C., Islamic Azad University, Tehran, Iran</Affiliation>
<Identifier Source="ORCID">0009-0005-8831-5385</Identifier>

</Author>
<Author>
					<FirstName>Manoochehr</FirstName>
					<LastName>Manteghi</LastName>
<Affiliation>Industrial Management and Engineering University Complex, Malek Ashtar University of Technology, Tehran, Iran</Affiliation>
<Identifier Source="ORCID">0000-0003-1839-0994</Identifier>

</Author>
<Author>
					<FirstName>Mahmoud</FirstName>
					<LastName>Modiri</LastName>
<Affiliation>Department of Industrial Management, S T. C., Islamic Azad University, Tehran, Iran</Affiliation>
<Identifier Source="ORCID">0000-0001-9694-5102</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>01</Month>
					<Day>30</Day>
				</PubDate>
			</History>
		<Abstract>Considering the important role of the transportation system in sustainable urban development, adopting appropriate policies in the urban transportation sector and developing sustainable transportation as one of the main areas of urban growth is considered. Innovation capabilities are an important part of the value of companies. Innovative activities require companies to be able to identify and evaluate these capabilities and to forecast the future market share to formulate their strategies.&lt;br&gt;The statistical population of this research includes the senior managers of the Railway Company and rail passenger companies of the country. In this research, after examining the current market share of seven passenger companies by exploiting the comprehensive model for evaluating the innovation capability of rail passenger companies in Iran, The forecast of the market share of the companies was discussed. Using the Markov chain model, after identifying the situation, the transfer matrix was determined, and in the next step, the future market share of each company was calculated.&lt;br&gt;According to the results of Raja Company, it will lose nearly 20% of its market share, and Mehtab Sir Jam and Pars Larim companies have a downward growth, and Rail Trabar Saba, Nur al Reza, Jopar and Rail Pardaz Noafarin companies have an upward growth in gaining market share.</Abstract>
			<OtherAbstract Language="FA">Considering the important role of the transportation system in sustainable urban development, adopting appropriate policies in the urban transportation sector and developing sustainable transportation as one of the main areas of urban growth is considered. Innovation capabilities are an important part of the value of companies. Innovative activities require companies to be able to identify and evaluate these capabilities and to forecast the future market share to formulate their strategies.&lt;br&gt;The statistical population of this research includes the senior managers of the Railway Company and rail passenger companies of the country. In this research, after examining the current market share of seven passenger companies by exploiting the comprehensive model for evaluating the innovation capability of rail passenger companies in Iran, The forecast of the market share of the companies was discussed. Using the Markov chain model, after identifying the situation, the transfer matrix was determined, and in the next step, the future market share of each company was calculated.&lt;br&gt;According to the results of Raja Company, it will lose nearly 20% of its market share, and Mehtab Sir Jam and Pars Larim companies have a downward growth, and Rail Trabar Saba, Nur al Reza, Jopar and Rail Pardaz Noafarin companies have an upward growth in gaining market share.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Innovation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">innovation capability assessment</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Markov Chain</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Sustainable development</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">green transportation</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jtd.iranjournals.ir/article_726280_b3ea05abe8879235c6fd6d8b7fc205b7.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Technology Development Institute</PublisherName>
				<JournalTitle>Quarterly journal of Industrial Technology Development</JournalTitle>
				<Issn>2676-5403</Issn>
				<Volume>24</Volume>
				<Issue>63</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>03</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Identification and Ranking of New Lending Technologies Using Fuzzy Multi-Criteria Decision-Making Methods</ArticleTitle>
<VernacularTitle>Identification and Ranking of New Lending Technologies Using Fuzzy Multi-Criteria Decision-Making Methods</VernacularTitle>
			<FirstPage>75</FirstPage>
			<LastPage>86</LastPage>
			<ELocationID EIdType="pii">725712</ELocationID>
			
<ELocationID EIdType="doi">10.22034/jtd.2025.2051071.1986</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Ahmadreza</FirstName>
					<LastName>Mahmoodi Khaledi</LastName>
<Affiliation>semnan univesity</Affiliation>
<Identifier Source="ORCID">0009-0003-7857-758X</Identifier>

</Author>
<Author>
					<FirstName>Mohsen</FirstName>
					<LastName>Shafiei Nikabadi</LastName>
<Affiliation>Industrial Management, Faculty of Economics, Management and Administrative Sciences, Semnan University</Affiliation>
<Identifier Source="ORCID">0000-0002-9744-960X</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>01</Month>
					<Day>20</Day>
				</PubDate>
			</History>
		<Abstract>Abstract: &lt;br&gt;In the modern era, fintechs are recognized as critical players within the financial industry, with new lending technologies rapidly evolving. These technologies have the potential to transform traditional lending processes by enhancing accessibility, speed, and efficiency. This study aims to identify and rank new lending technologies employed by fintechs. The research methodology is qualitative, with a statistical population comprising 12 senior employees from the research and planning department of Bank Tejarat. Initially, based on the existing literature and prior research, emerging lending technologies, along with relevant criteria and sub-criteria, were identified and finalized through expert validation. Using the fuzzy DEMATEL method, the interrelationships among organizational, technical, operational, and financial-economic criteria were analyzed. Results indicated that the technical criterion had the highest influence, while the organizational criterion was the most influenced. Subsequently, fuzzy ANP was utilized to assign weights to the criteria and sub-criteria. Finally, rankings were conducted using two fuzzy methods, SAW (Simple Additive Weighting) and TOPSIS, entirely within Excel. By averaging the results of both SAW and TOPSIS methods, the final ranking of 17 sub-criteria was obtained, with artificial intelligence, big data, blockchain, payment systems, and cloud computing securing the top five positions, respectively. Artificial intelligence emerged as the top choice in this analysis. This research can assist financial institutions and fintech startups in selecting and implementing the appropriate technology to effectively enhance lending performance.</Abstract>
			<OtherAbstract Language="FA">Abstract: &lt;br&gt;In the modern era, fintechs are recognized as critical players within the financial industry, with new lending technologies rapidly evolving. These technologies have the potential to transform traditional lending processes by enhancing accessibility, speed, and efficiency. This study aims to identify and rank new lending technologies employed by fintechs. The research methodology is qualitative, with a statistical population comprising 12 senior employees from the research and planning department of Bank Tejarat. Initially, based on the existing literature and prior research, emerging lending technologies, along with relevant criteria and sub-criteria, were identified and finalized through expert validation. Using the fuzzy DEMATEL method, the interrelationships among organizational, technical, operational, and financial-economic criteria were analyzed. Results indicated that the technical criterion had the highest influence, while the organizational criterion was the most influenced. Subsequently, fuzzy ANP was utilized to assign weights to the criteria and sub-criteria. Finally, rankings were conducted using two fuzzy methods, SAW (Simple Additive Weighting) and TOPSIS, entirely within Excel. By averaging the results of both SAW and TOPSIS methods, the final ranking of 17 sub-criteria was obtained, with artificial intelligence, big data, blockchain, payment systems, and cloud computing securing the top five positions, respectively. Artificial intelligence emerged as the top choice in this analysis. This research can assist financial institutions and fintech startups in selecting and implementing the appropriate technology to effectively enhance lending performance.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Fintech</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Lending</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">artificial intelligence</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Big Data</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Blockchain</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">cloud computing</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jtd.iranjournals.ir/article_725712_92066b32e204299f33349bcd48721d93.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
