mehrdad hosseini shakib

The emergence of industry 4.0 and the globalization of the supply chain has caused the supply chains to be more exposed to crises and disruptions. One of the concepts that can be a solution in this regard is resilience and how to design and implement strategies related to it. In this regard, emerging technologies Industry 4.0 can lead the way. The purpose of this applied and mixed exploratory research is to examine the dimensions of supply chain resilience with a focus on technology in sharing economy businesses.

The participants of the qualitative part of the research were 13 people from sharing economy business experts who were selected by the snowball method. The statistical population of the quantitative part was also 71 managers and experts who were selected in a purposeful and accessible way. In this research, data have been collected with the library method by reviewing articles, books and theses, and then a researcher-made questionnaire. in the qualitative part, using meta-synthesis and Delphi method with Excel and SPSS software, and in the quantitative part, data has been analyzed using confirmatory factor analysis with the method of partial least squares and Smart-PLS software.

Findings of this research include 64 extracted codes that are grouped into 4 factors. Organizational-cultural factor with 14 indicators, environmental-market factor with 17 indicators, technology factor with 13 indicators and supply chain factor with 20 indicators have been obtained. According to the results of the research, the supply chain factor has the greatest impact on the resilience of the supply chain, followed by the cultural-organizational factor and the technology factor, and finally, the environmental-market factor has the least impact. According to these results, it is suggested that increase coordination and cooperation among supply chain factors.

This study adopted a qualitative approach to investigate the obstacles faced by Small and Medium-sized Enterprises (SMEs) in financing for their production activities. Through the utilization of the meta-synthesis method and a comprehensive review of 23 relevant articles, this research identified 57 factors categorized into 10 key dimensions that acted as barriers to financing. These dimensions encompassed aspects, such as financial infrastructure and accessibility, legal framework and political implications, information asymmetry and transparency, collateral requirements, asset-based financing, loan terms and conditions, credit assessment and risk perception, market dynamics and competition, technology advancements and digitalization, social and economic factors, regional inequalities, financing mechanisms, and innovations. By presenting a structured framework, this research aimed to enhance the comprehension of these challenges and provide potential solutions. 

In today's intricate global economic landscape, Small and Medium-sized Enterprises (SMEs) represent thriving sectors characterized by their innovation, dynamism, and growth potential. These enterprises often hailed as the backbone of economies worldwide play a pivotal role in driving economic development, generating employment opportunities, and fostering technological advancements. However, despite their significant contributions, SMEs encounter a myriad of formidable challenges that impede their prosperity and hinder their optimal contribution to economic progress. From legal obligations and market competition to resource constraints and technological barriers, these businesses navigate a complex environment fraught with obstacles. Among the various hurdles they face, one of the most prominent one pertains to production financing, wherein SMEs encounter difficulties in accessing capital and securing adequate financial resources. Such barriers manifest in the form of stringent lending criteria imposed by financial institutions, information asymmetry and lack of transparency, restrictions on collateral, and exorbitant transaction costs. Consequently, these enterprises grapple with limited budgetary options, thereby curtailing their growth prospects and impeding their capacity to innovate and compete in the market. This study endeavored to bridge the existing research gaps by conducting an in-depth examination of the barriers faced by SMEs in securing financing for production activities. The primary objective was to develop a comprehensive model for analyzing production financing barriers in small and medium-sized enterprises. Such a model can serve as a valuable tool for policymakers, financial institutions, industry associations, and entrepreneurs alike, empowering them to formulate effective strategies aimed at overcoming these obstacles.

This study adopted a qualitative approach following the methodology proposed by Sandelowski and Barso (2007) for data collection. The methodology consisted of 7 steps, which involved formulating research questions, conducting a systematic literature review, selecting relevant studies, extracting information from the chosen studies, analyzing and synthesizing the findings, ensuring quality control, and presenting the outcomes. To conduct a comprehensive search, reliable databases were systematically queried using relevant keywords and phrases, such as "small and medium businesses", "production financing", "financing barriers", and related terms. The search covered titles, abstracts, and keywords. Inclusion criteria were applied, including the selection of non-Persian qualitative papers published between 2014 and 2023 indexed in ISI or Scopus, as well as valid Persian articles published between 2013 and 2014. Initially, 282 articles were identified and after a rigorous selection process, 23 articles were chosen for the final analysis. To ensure validity, entry criteria, team meetings, expert opinions, and EndNote software were employed. Reliability was determined by critically evaluating and scoring the articles. Parameters, such as authors, publication year, research purpose, methodology, and findings, were considered during the evaluation process.

Culmination of the meta-synthesis section yielded an analysis model illustrating the barriers to production financing in small and medium-sized businesses. Being presented in Figure 1, this model encompassed the key findings of the research.

This study explored the financing challenges faced by small and medium-sized enterprises using a hybrid approach and identified 57 indicators across 10 key dimensions that acted as barriers to financing. The dimension of "financial infrastructure and access" encompassed challenges related to accessing financial institutions, banking services, and venture capital. Additionally, the study examined microfinance as an alternative avenue with its own possibilities and challenges. In the dimension of "legal environment and political consequences", barriers, such as legal transparency, compliance, administrative ease, and government support programs were discussed as they impacted the performance of SMEs. The dimension of "information asymmetry and transparency" focused on challenges related to accessing information, transparency in lending practices, and disclosure requirements. The dimension of "collateral requirements and asset-based financing" addressed the complexities and challenges of evaluating and accepting collateral from SMEs, including collateral policies, asset valuation methods, loan-to-value ratios, and non-traditional collateral acceptance criteria, which often posed difficulties for businesses with limited assets. The dimension of "loan terms and conditions" highlighted the challenges that SMEs encountered when seeking financing, including issues related to interest rates, loan duration, flexibility of repayment terms, and collateral requirements. The dimension of "credit assessment and risk understanding" encompassed challenges, such as credit score assessment, financial statement analysis, business viability assessment, and understanding market and economic conditions. The dimension of "market dynamics and competition" explored the diverse effects of market dynamics on the access of SMEs to financing, including factors, such as market structure, competitive landscape, industry concentration, market entry barriers, and impact of new technologies. The dimension of "technology developments and digitization" examined how technology and digital advancements were reshaping the financing landscape for SMEs, including advancements in digital infrastructure, adoption of new financial technologies, and cybersecurity measures. The dimension of "economic and social factors and regional inequalities" addressed various challenges, including levels of economic development, income inequality, access to education, and infrastructure development. Lastly, the dimension of "alternative financing mechanisms and innovations" explored diverse avenues for SMEs to obtain financing. Peer-to-peer lending, crowdfunding platforms, and other innovative financing approaches provided these companies with new opportunities to raise capital and offer more flexible terms. In conclusion, this research shed light on the multifaceted barriers that SMEs faced in accessing financing. By comprehensively examining these dimensions, policymakers, financial institutions, and entrepreneurs could develop effective strategies to overcome these challenges and foster a more conducive environment for SMEs to thrive and contribute to economic growth.
This study proposed recommendations for addressing the barriers that hindered the access of small and medium-sized businesses to production financing. The key recommendations included enhancing transparency and access to financial information, simplifying laws and improving tax transparency, implementing financial education programs to enhance financial literacy, fostering collaboration among the government, financial institutions, and industries to develop innovative financing solutions, investing in digital infrastructure and cybersecurity measures, and implementing supportive policies to reduce regional disparities. It is important to acknowledge the limitations of this research, such as its reliance on the existing literature, which may have implications for the quality and comprehensiveness of the studies reviewed. To gain a deeper understanding of financing trends and dynamics and devise appropriate interventions, it is recommended to undertake longitudinal, comparative, exploratory, and interdisciplinary research.

Due to the growing importance of environmental issues in organizations, the present study investigates the impact of external pressures and internal impetus on organizational performance by considering the mediating role of green supply chain adoption and green procurement.

This study is categorized as applied and descriptive. The statistical population of the study consists of managers and experts of Iran Khodro Industrial Molds Company, that number was 331 people. The sample size was calculated based on Cochran's formula to be 178 people. For sampling, the available sampling method was used and data collection was done by a researcher-made questionnaire. The content validity of the questionnaire was confirmed using expert's opinion and its reliability was confirmed by Cronbach's alpha coefficient. In order to data analysis, the structural equation modeling method (SEM) and Amos software have been used.

Findings indicate that external pressures with the mediating role of green supply chain management adoption and green procurement have a positive significant effect on organizational performance. In addition, the effect of internal impetus on performance was confirmed by the mediating role of green supply chain management adoption.

Based on the findings, it can be said that the organization's actions to adapt to the environment and meet environmental requirements, is a way to differentiate from competitors. The use of a green supply chain, in addition to the organization benefits from the advantages of savings, can also maximize the profitability of the organization by creating innovation in the design and production of environmentally friendly products.

The purpose of this study is to investigate the impact of Delta model strategies on organizational performance with the moderating role of government regulation. This study is categorized as applied and descriptive. The statistical population was consisted of managers and experts of the strategic and marketing departments in IT firms located in the Pardis Technology Park that number was 266 people. According to the Cochran's formula, the sample size was calculated to be 158. Data collection was done by a researcher-made questionnaire. The content validity of questionnaire was confirmed using expert's opinion and its reliability was confirmed by Cronbach's alpha coefficient. Data analysis was performed using the structural equation modeling (SEM) in Amos software. Results of the study indicate that Delta model strategies, including best product, total customer solution, and system lock-in, have positive and significant impact on the IT firm’s performance. The impact of system lock-in on performance is greater than other Delta model strategies. Also, government regulation moderates the relationship between Delta model strategies and organizational performance. The greatest impact is related to the total customer solution and the least impact is related to the best product.

This study examined the impact of innovation orientation on innovation performance and firm performance with the mediating role of strategic market planning capability and strategic marketing implementation capability. This is an applied, descriptive and survey research. A researcher-made questionnaire with a five-point Likert scale is used for data collection. To measure the questionnaire validity, formal and content validity and confirmatory factor analysis are used while Cornbrash’s alpha is utilized to measure the reliability. The statistical population consisted of 119 Ariadysel company employees which are evaluated in total and 115 questionnaires are returned. Questionnaire data are tested using SPSS 25 software and hypotheses are analyzed using Structural Equation Method by Amos 24 software. The findings showed that the innovation orientation has a positive impact on strategic market planning capability and strategic marketing implementation capability and innovation performance. Also, strategic market planning capability and strategic marketing implementation capability have a positive effect on innovation performance. On the other hand, strategic market planning capability have a positive indirect effect on the relationship between innovation orientation and innovation performance. However, strategic marketing Implementation capability have no significant effect on the relationship between innovation orientation and innovation performance. In addition, innovation performance has a mediating role and strong positive impact in the relationship between innovation orientation and firm performance. Based on the results, it is suggested that the different units of the company continuously interact and communicate with each other in order to develop innovation and use different techniques (problem solving methods, simultaneous engineering, cross-functional teams and QFD) to create ideas.

Risk assessment is one of the important issues in insurance industry that can lead to better performance of insurance companies. The aim of this study is to provide a risk assessment model for the coverage of fetal malformations of supplementary insurance in the Iranian insurance industry in order to identify the effective factors and the extent of the impact of each with a mixed approach.

This research is exploratory-descriptive based on the way of data collection and is developmental-applied in terms of purpose. The qualitative section was conducted with in-depth interviews with 14 insurance industry experts and specialized physicians using the data method of the foundation in three stages of open coding, axial coding, and selective coding in MAXQDA software. In the quantitative section, the data collected using a questionnaire from 67 insurance industry experts were measured by the structural equation modeling method using SMART-PLS software. The reliability and validity of the quantitative method were calculated and confirmed using Cronbach's alpha coefficient and confirmatory factor analysis, respectively.

In the qualitative section, six main factors including parental characteristics, insured group characteristics, environmental factors, scientific and technological factors, cultural and social factors, and factors related to the insurance industry were identified, and 36 indicators as factors affecting risk of coverage fetal malformations insurance. Findings showed that 32 indicators out of 36 indicators are statistically confirmed and all six identified factors have a positive and significant effect on fetal malformations.

The results confirm that the insured group characteristics have the greatest impact on the risk of insurance coverage for fetal malformations. Therefore, in order to cover the mentioned risk, insurance companies should pay special attention to the indicators of education, geographical status, demographic composition, and gender composition of the members of the insurance group.

Industry 4.0 technologies can increase efficiency, promote the use of full production capacity, reduce costs, and thus improve the profitability of companies. Knowing the factors affecting the adoption of these technologies will greatly help manufacturing companies to invest in this field. This research aims to provide a pattern of adoption of Industry 4.0 technologies in Iran's auto part companies. In order to achieve the goal in this research, a mixed exploratory research method has been used in two stages, qualitative and quantitative. In this way, first, 86 related articles were reviewed using the metasynthesis method and the factors affecting the adoption of Industry 4.0 technologies in industries were identified. Then, in the Delphi phase, with the help of 15 experts in this field, these factors were localized and screened. In the quantitative stage, the data obtained from the analysis questionnaire and the final model were presented using the structural equation modeling approach using the partial least squares method. Based on the results, 38 indicators in the form of 11 dimensions and 4 main factors "organizational", "industrial", "national" and "international" were identified as effective factors on the adoption of Industry 4.0 technologies in Iran's auto part companies.

Proper pricing of products and services is one of the most important initiatives of any business, which is more complicated in multimodal transport companies due to their special nature. Faced with the complexities of pricing issues, most of the time managers' decisions are influenced by emotions because there is no accurate information to make a decision or this information is not available to senior managers. Therefore, the main purpose of this study is to identify the effective components of pricing of freight transportation services, as the most important part of the multidimensional transportation marketing mix. As a result, qualitative and applied research was defined to identify these components and indexes. By studying previous research, a qualitative Delphi questionnaire consisting of 8 factors and 64 indexes was prepared and sent to 15 senior managers of multimodal transport companies in the Middle East and North Africa region. After 3 rounds of the Delphi questionnaire consensus between expert panel members has been achieved. Adopting a theoretical framework according to result analysis showed that, at the both firm levels and at the macro level, all identified components were effective, but 10 of the identified indexes were removed and 5 new indexes were added by the panel members. As a result of the expert panel consensus, a conceptual model for the pricing of multimodal freight services in the Middle East and North Africa region was proposed.

This article aims to present the model of social banking innovation process with digital transformation approach by fuzzy Delphi method, which is applied in terms of purpose and qualitative research in terms of data collection. The statistical population includes all university experts and senior bank managers who were selected for the Delphi process using 16 people using the snowball technique. The collection tool in this study is the Delphi questionnaire. Indicators were collected using fuzzy Delphi technique. The validity of the research was obtained by agreement of experts and validity with the help of consensus and formal validity. The results showed that during the three stages of the survey of 66 components, the final model has 43 components and has 6 dimensions. Based on the results obtained from fuzzy Delphi method and research literature was expressed. The 43 factors (indices) identified and approved by experts are the basis of the formation of the research model, which are classified into 6 separate groups: 1- Social factors (SF), 2- Rules and policies (RP), 3- Digital transformation infrastructure (DTI), 4- Innovative approach (IA), 5- Security (S) and 6- Banking industry structure (SBI)

Nowadays, capabilities for continuous sustainable innovation creation and development in organizations is considered as a vital mean to achieve competitive advantage in complicated and changing business environments. In the automotive industry, due to the significant impact of its products on environmental challenges emergence and regulatory constraints increase, it requires new capabilities and competencies development for successful implementation of green innovations and achieving sustainability goals. Accordingly, this study’s purpose is providing a model for innovative capabilities development, focusing on how to strategically enhance green innovations in the automotive industry using qualitative and quantitative (mixed) methods. In the qualitative section, Data gathered by extensive literature review and doing interviews with 14 experts through Thematic Analysis method with Maxqda software, and the research model was presented in the form of 84 indicators, 16 components and 4 main dimensions. In the quantitative section, with the Fuzzy Best Worst Method and Lingo software, dimension ranking was done and results reveal that the dimensions of green research and development, environmental factors, green organizational contexts, and green operational practices, respectively, have the greatest significance for developing green innovation capabilities in the automotive industry. According to research findings and considering the technological gaps and constraints in the Iranian automotive industry, focusing on the successful incremental green innovation implementation taking into account environmental incentives and internal technological learning capacities, along with specialized networking to promote clean advanced technologies and developing effective regulatory mechanisms are recommended.

Today, the economy of innovation based on knowledge as an important and vital factor, has attracted the attention of businesses for value acquisition and a sustainable competitive advantage. Therefore, the aim of this research is identifying and ranking the key factors affecting the value acquisition based on the innovation economy in knowledge-based IT (information technology) companies. The study was conducted using mixed method approach. In the qualitative phase, the most important indicators were extracted using MAXQDA software based on the theoretical foundations and literature review, as well as interviews with 12 experts in the IT field, who were selected by the snowball method. Then, in the quantitative phase, a questionnaire was designed based on the indicators and given to 103 policymakers and practitioners in the knowledge-based IT companies, who were purposefully selected. The validity of the questionnaire has been confirmed according to the opinion of experts. The reliability of the questionnaire, the analysis of the extracted factors and the validation of the final research model were investigated using SMART PLS software. Finally, the final research model with 22 indices in 7 factors was confirmed. The results showed that all 7 factors have a significant impact on the value acquisition based on the innovation economy. The factor regarding dimensions of the value acquisition is in the highest rank and then the IT resources, innovation in IT, IT, business and market, the innovation economy, and security and laws are placed in the next ranks, respectively.

One of the key areas addressed by the sustainable development discourse is the role of sustainability as a driver of green innovation. The aim of this study was to study the mediating role of company sustainability and sustainability strategies in the relationship between smart technologies and green innovation in companies constructing wastewater treatment plants in the Iran. This research is applicable in terms of purpose and descriptivesurvey in terms of method. The statistical population of the study consists of senior managers of companies designing, constructing and operating municipal wastewater treatment plants, 250 of which were selected using the available sampling method. Findings indicate that intelligent technologies have a significant effect on firm stability and sustainability strategies, and according to the resulting path coefficients with values ​​of 0.74 and 0.31, this relationship is positive and directional. In addition, the results indicate that the sustainability strategy has a significant effect on the stability of the company and the path coefficient with a value of 0.25, indicates a positive and directional relationship. In addition, according to the results of the research, the stability of the company has a significant effect on green innovation and according to the path coefficient with a value of 0.41, this relationship is positive and directional. In addition, the results show that smart technologies have a positive and significant effect on green innovation with the mediating role of company sustainability and the indirect impact of smart technologies on green innovation in this direction is equal to 0.30. Research shows that smart technologies have a positive and significant effect on company sustainability with the mediating role of company sustainability strategy and the rate of indirect impact of smart technologies on company sustainability in this direction is equal to 0.08. In addition, according to the research results, the company's sustainability strategy has a significant effect on green innovation with the mediating role of company sustainability and the indirect impact of the sustainability strategy on green innovation in this direction is equal to 0.10.

In recent years, the development of information and communication technology infrastructures, has equipped banks with online information and communication resources and led them from traditional space to a banking platform based on centralized and multi-branch infrastructures. Relying on promotion of technology and data orientation, social banking has provided a new space to the country's banking industry. Adopting a digital transformation approach, the current research is to identify factors affecting the innovation process of social banking.

 THEORETICAL FRAMEWORK:

According to research institutes, digital innovations in the banking industry have created various opportunities and threats for banks. These institutions introduce digital transformation as a double-edged sword, one side of which will increase the bank's profitability by creating a competitive advantage and reducing costs. On the other hand, with the empowerment of competitors and the pressure to reduce the profit margin and increase some operational risks, it may lead to a decrease in profitability. In the path of digital transformation and implementation plans, it is necessary to be realistic and then proceed to develop a strategy and carry out the necessary activities. One of the major challenges of digital transformation is that we cannot reach the highest level of digital maturity at once and should go through a series of intermediate steps. In the field of fintech digital transformation, open banking and mobile technology are of great importance and are considered as the main drivers of the development and realization of digital transformation.

In this research, fuzzy Delphi method has identified and prioritized the factors affecting innovation process in social banking with an approach to digital transformation. This was accomplished based on 377 questionnaires. To analyze the data and to check the research model fitness, structural equation modeling was conducted in Amos software. The opinion of industry experts confirmed the validity of the questionnaire, and its reliability was confirmed by Cronbach's alpha coefficients of greater than 0.7.

The results showed that 36 out of 43 indicators affect the innovation process of social banking in the form of six distinct factors. Based on obtained results with a digital transformation approach, the key affecting factors were as follows respectively (in terms of their effect size): digital transformation infrastructure, laws and policies, innovative approach, banking industry structure, security, and social factors.

CONCLUSIONS & SUGGESTIONS:

Digital transformation infrastructure: Developing countries such as Iran must take the necessary local measures to implement the appropriate technical infrastructure for electronic commerce. For the successful implementation of digital transformation, banks need strong infrastructures to support data. Laws and policies: Regarding digital transformations, legislators and upper bodies can implement and facilitate the process of digital transformation by formulating laws in the field of entrepreneurship.Innovative approach: The digital economy creates unique opportunities for entrepreneurs who have an innovative approach to the environment and new entrepreneurial activities. Banking industry structure: Customers prefer personalized services. Banks, to be successful, should switch to platforms that can offer a variety of capabilities to a larger ecosystem of specialized providers. Security: Electronic banking, like any other Internet-based service, is one of the favorite fields for cybercriminals. Maintaining information security is one of the important topics of electronic commerce and banking. Social factors: Digital banking allows customers to take advantage of IT benefits when using their banking processes that increase their intention to use onlinbanking.Based on research results, the following practical suggestions are presented to the banking industry managers and practitioners: Government institutions and legislators are suggested to formulate and implement new laws and regulations for the effective use of technology in this industry. Banks should identify and exploit the opportunities existing in the environment by creating a strong expert group. Banks should utilize powerful support systems to protect information and customers. Banks should change their organizational structure for deploying new technology. Banks should empower their employees by exploiting up-to-date knowledge based on information technology. Managers should digitize the banks' environment and climate to internalize digital procedures in employees' habits and behaviors.

The purpose of this study is to validate the real customers of Bank Mellat using fuzzy Delphi approach and multiple logistic regression. For this purpose, first, the effective indicators on assessing the credit risk of real customers were identified by library method and then, the fuzzy Delphi method was used and the indicators were screened. The community of this section was formed by banking experts (Bank Mellat) who were selected by snowball method. Then, the final data related to the indicators, including the files of 7318 real customers of Bank Mellat during the years 2014-2020, were collected and analyzed by multiple logistic regression method in four categories of timely receipt, past due date, delinquent and doubtful receipt. The results showed that the loan amount, loan repayment time, installment interval, installment amount, loan extension, previous loan, real estate collateral, inventory average, facility interest rate and education level have a significant effect on credit risk of real customers. Also, the significance of gender, age and occupation indices was not confirmed.

sustainable technology transfer is one of the necessities of sustainable technology transfer in developing and developing societies . unfortunately , in most cases , technology transfer in countries and especially our country leads to technology transfer . accordingly , in this research , we present a model of sustainable technology transfer in rail transport industry to achieve environmental goals , social , economic and political impacts with grounded theory approach . the statistical sample of the research in the qualitative section , of the people of railway transportation areas of iran , were selected by snowball sampling method until theoretical saturation . the statistical population in quantitative section consisted of thirty managers and experts in rail transport companies which were selected by purposeful and available sampling method . in order to identify the effective factors , the approach based on data theory of the foundation of the foundation is used and the validity of the model is obtained by factor analysis and smart pls - smart pls software . according to the research findings in the qualitative section , the final model of the research was approved in seven stages . along with elements , economic , social , environmental and political element for the first time as well as the results of data theory about frequency and importance in the stage of technological component technology , in the stage of technological component technology , in the stage of technological component technology , in the stage of technological component technology development , in the stage of technological component technology development , has impact on the process of technology transfer .

The purpose of this study is to investigate the impact of strategic quality orientation and absorptive capacity on sustainable business growth with the mediating role of innovation.

This study is categorized as applied and descriptive. The statistical population was all managers and experts of Shir Pegah Company in Tehran and the sample size was calculated as 207 people based on Morgan and Krejcie's table. The sampling method was simple random sampling and data collection was done by a researcher-made questionnaire. The content validity of the questionnaire was confirmed using an expert's opinion and its reliability was confirmed by Cronbach's alpha coefficient. Data analysis was performed using the Structural Equation Modeling (SEM)  method in PLS software.

The findings showed that strategic quality orientation and absorptive capacity, both, have a significant impact on innovation and sustainable business growth in Shir Pegah Company. Innovation has a mediating role in the impact of strategic quality orientation and absorptive capacity on sustainable business growth. Based on findings, companies can focus on strategic quality practices, leadership commitment, employee management, continuous improvement, company quality culture, and focus on customer needs; because it enables them to achieve a high level of exploitation and exploration innovation and sustainable business growth. Because while growing business and exploring exploratory innovation is not easy and requires a lot of resources for organizational learning, harnessing existing capabilities may not lead to sustainable competitive advantage.

Originality/Value: 

The concept of strategic quality orientation is derived from the general principles of total quality management and has a significant impact on the sustainable business performance. Innovation is also recognized as the most important strategic option that can significantly increase the organization's ability to meet the changing needs of customers and changing technology and maintain competitive performance. Given the research gap that has existed in previous studies, this study examines the impact of strategic quality orientation and absorptive capacity on sustainable business growth with the mediating role of innovation in the dairy industry.

Today, all businesses and organizations are increasingly facing a dynamic, changing environment with high uncertainty and in order to survive and maintain themselves in this complex world, they have to constantly adapt themselves to these sudden changes and change their strategies accordingly. Due to limited resources, increase in service users, increase in equipment costs, financial and logistical problems, urgent need for after-sales services, development of communication networks, increase in wages, etc. It has become very difficult to make a decision and choose a strategy that fits the structure of the organization, and the issue of organizational resilience has been associated with great success. Based on this, the theories of crisis and disaster management also seek to create resilient societies against risks and have listed resilience as the most important factor to achieve sustainability [1]. One of the most important crises in recent years has been the contamination of the whole world with the Corona virus or Covid-19, and the involvement of the countries of the world with this epidemic has affected all their economic, political, social and cultural fields. It has been disrupted. Communication and information technology is the most important driver of innovation and growth for the economy of the countries of the world, and digital technologies and related innovations are powerful and comprehensive and have a multifaceted and indirect effect on the economy of the countries [3]. One of the industries that has been severely affected by the Corona pandemic is the information and communication technology industry And Iran Telecommunication Company, as the largest organization under this industry, has faced extensive challenges in this era. Considering the importance and necessity of the subject, this research seeks to provide a model for organizational resilience in telecommunication companies in the era of Covid-19 and to face its hazards and consequences. Finally, by recognizing and strengthening the factors affecting it, it is possible to increase the efficiency and productivity of the organization.

The present research was done with a mixed approach (qualitative and quantitative). This research is considered exploratory-descriptive in terms of data collection and developmental-applicative in terms of its purpose. Thus, in order to achieve a brief description of the experiences, attitudes and perceptions of the interviewees regarding the dimensions of the organizational resilience model in telecommunication companies, the qualitative research method and specifically, from the Strauss and Corbin grounded theory approach used [4]. Therefore, 11 managers and experts of the telecommunication company of Alborz province, who mostly worked in management positions, were interviewed. Retest reliability method was also used to calculate the reliability of the interviews. The statistical population in the quantitative part was all official and contractual employees of Alborz province Telecommunications Company (N=281). The sample size at this stage was selected based on Cochran's formula, with the number of 163 people. The questionnaire was prepared based on the opinions of the experts of the Alborz province telecommunication company and based on the Likert scale and was randomly distributed to collect data in this statistical population, which was used for data analysis. In order to check the reliability of the research data in the quantitative part, Cronbach's alpha coefficient was used, and in all cases, the alpha coefficient was higher than 0.7. To ensure the validity of the model constructs, the confirmatory factor analysis technique was used [2].

After performing open, axial and selective coding, finally 40 indicators were identified and categorized into five factors. Then, using confirmatory factor analysis and Amos software, eight indicators that had a factor load less than 0.5 were removed and 32 indicators were confirmed. The results of the research hypotheses test showed that all five identified factors have a significant impact on the organizational resilience of telecommunication companies and the factors of human resources, political and social, infrastructure and technology, economic and management and organization have had the greatest impact on organizational resilience, respectively.

According to the results and the factor loading of indicators, it is suggested that in order to achieve more and more stable resilience and also to provide high quality services at the standard level, it is necessary to create a suitable and safe environment. Action should be taken to increase the motivation, health, calmness and adequate concentration of human resources. Also, there is a need for more interaction with the government to deal with sanctions and increase the budget for infrastructure development in order to maintain and increase resilience. In addition, it is recommended to develop infrastructure and equipment before the occurrence of future crises. Buying and saving IP in order to grow the stability of the network and upgrade the Uplink in order to increase the quality of service and create a balance between supply and demand, as well as increasing the necessary infrastructure to support customers in a timely and appropriate manner is also one of the necessities of this industry. Another suggestion is that the income from the increase in the number of customers and of course the increase in income caused by this crisis should be used to compensate for the lack of liquidity for the development of fiber optic network and technical equipment. And finally, the managers of the organization should be prepared to face the future crises by gaining experience from the Corona crisis at the same time as solving the problems that have arisen.

In recent decades, innovation management has always been considered by researchers. Their efforts to improve the performance of this process is ongoing. In this research, in order to design a model for managing innovation process routines, first, by reviewing previous studies, the relevant indicators were extracted and a model was presented after performing the fuzzy Delphi technique and the experts reached a consensus. To implement the model designed in ANFIS, a questionnaire was used (survey method). The designed rules came with an acceptable error with 40 training courses. Findings showed that the organizational factor is the most important variable and educational factor is in the last rank. Therefore, it is suggested that following measures should be taken: establishment of Iran Gas Turbine Center, stabilizing organizational routines as the main source of innovation, creating a suitable environment for cultural and social interactions, deepening innovative capabilities and increase technical and managerial skills.

Car safety systems, as one of the most important parts of the automotive industry, to improve quality and prepare for the future, require the identification of modern technologies and appropriate methods of their transmission.

The aim of this study is to identify the components of improving the transmission capabilities of technology in automotive safety systems and to analyze the relationships between them with a forward-looking approach.

This study is applied and descriptive survey study and based on mathematical modeling with fuzzy inference system. Using previous literature and research studies and interviews with 11 experts from automotive safety systems companies, indicators are identified and categorized. And to analyze the relationships between the factors, the fuzzy inference approach with Matlab software are used.

20 indicators are identified and categorized into 4 components. The localization and deployment component of technology with the first rank and 34.38% weight criterion is the most important variable and the identification and selection of technology with 19.66 weight criterion is in the last rank.

senior executives and automakers should pay special attention to the indicators of the capability of localize and deploy technology.

In order to study the behavior of employees during the crisis, the present study was conductedwith the aim of providing a model of human resource resilience in the banking industry duringthe Covid 19 period, which was done using qualitative and quantitative methods in a mixedapproach. This research is exploratory-descriptive based on the method of data collection andnature and development-applied in terms of purpose. Participants in the qualitative sectionwere 14 experts in the field of management and banking industry who were selected based ona purposeful method and they were interviewed semi-structured. In the quantitative part, datawere collected using a questionnaire from 196 managers and employees of Mellat Bank inAlborz province who were randomly selected. In order to present the qualitative model, thegrounded theory and MAXQDA software were used, and to validate the model, the structuralequation modeling method and SMART PLS software was used. The results of open and axialcoding led to the extraction of 4 categories (individual and personality, infrastructure andtechnology, social and cultural, political and legal factors), 9 sub-categories, and 33 indicators.The findings of the quantitative section showed that 28 out of 33 indicators are statisticallyconfirmed and all four identified factors have a positive and significant impact on the humanresource resilience of Mellat Bank in the Covid-19 era. Comparison of coefficients ofdetermination also showed that individual and personality, infrastructure and technology,social and cultural, and political and legal factors had the greatest impact on the resilience ofbank’s human resources, respectively. The results of this study allow bank managers to havean integrated plan to improve the existing conditions to deal with crises and accidents in orderto increase these factors in their organization, by identifying the basic points dimensions, andcomponents of human resilience.

This study aims to present a systems model of Value Acquisition based on innovation economics in knowledge-based businesses in the field of information technology.

Beside the review of Literature, in order to further enrich the data gathering process, in-depth interviews were conducted with 12 experts in the field of information technology and consequently the most important dimensions and components were identified. Then, a questionnaire was designed and made available to 103 specialists and managers of knowledge-based businesses in the field of information technology. Adaptive neural-fuzzy inference system (ANFIS) was used to validate the predicted model.

Results show that the most important dimensions affecting value acquisition based on innovation economics in knowledge-based businesses in IT domain fall into the following order of importance: business and market, innovation economics, value acquisition, information technology resources, information technology, innovation in information technology, security and law. Also, due to the amount of errors observed and the lack of meta-adaptation phenomenon in the designed ANFIS, the model has acceptable validity and high predictive power.

Presenting a systems model which includes the most important dimensions and components of value acquisition based on innovation economics, this research can help policy makers and managers involved in knowledge-based businesses in the field of information technology.

The importance of information and communication technology (ICT) start-ups in economic, social and entrepreneurial development, as well as their extensive uses in various industries and sectors, has led to their welcome and support. On the other hand, their failure rate is very high and makes it difficult for supporters and funders to predict their future success. Therefore, considering the distinct conditions and high rate of technological developments of the ICT industry compared to other sectors and its high share of GDP, the purpose of this study, is to identify the local failure factors of ICT start-ups by interviewing experts and practitioners.This article is an applied, qualitative and quantitative research based on inductive approach which extracted failure factors using qualitative thematic analysis with MAXQDA software and then, these factors were ranked by using the fuzzy best-worst method through Excel and Lingo softwares.The basic themes extracted from the text of the interviews were classified into fourteen organizing themes and three global themes: internal factors of the start-up, near environmental factors and distant environmental factors. The results showed that the start-up internal factors, close and distant environment have the greatest impact on the failure of ICT start-up, respectively. The entrepreneurial team and the government were also recognized as the most important internal and external factors for the start-ups failure. From the point of view of all experts, an entrepreneurial team with complementary specialties and different capabilities can overcome all the challenges of the business development path. In their view, the government should play proper governance role, including regulation and enacting new laws in this area.

Technology transfer abilities play an important role in the process of successful and effective technology transfer. Accordingly, this study sought to provide a practical model to identify the factors and indicators contributing to technology transfer abilities in downstream petrochemical industry. The present study is an applied and qualitative-quantitative research studies. The statistical population consisted of managers and experts in the relevant industry, and that the research questionnaire was designed according to the indicators identified from the literature and opinions of industry experts. Structural Equation Modeling running AMOS software was used to analyze the data and to examine the fit of the research theoretical model. The results show that a total of 82 indicators under the rubric of 8 factors contribute into the technology transfer abilities. Also, technology transfer abilities is in the first rank in the industry, and the technology adaptation abilities and development and improvement of technology abilities were ranked second and third in importance. This result suggests that senior managers and policy makers in the petrochemical industry should pay special attention to abilities of technology dissemination stage and strive to strengthen these factors.

As technology plays a key role in increasing national security and defense capabilities of countries, huge budgets are allocated to this sector. Thus, to make technological progress in commercial businesses and consequently the economic growth and development of their country, it is necessary for governments to pay special attention to commercial businesses with a strategic view of defense technology overflows to commercial businesses. The aim of this study was to identify the factors affecting the overflow of defense technologies to commercial businesses in Iran and to rank those factors. In the first phase, after reviewing the conducted research and extracting the initial indicators, a framework was developed for asking semi-structured interview questions with experts in this field. Then, by interviewing 13 experts who were selected through purposive sampling method (snowballing), 51 indigenous indicators were extracted in the frame of 7 factors. Then, the extracted indices were reviewed in an expert meeting involving 13 experts, and the output of the meeting which was a consensus pairwise comparison questionnaire was entered into a "super design" software. In the final step, the indicators were ranked using the Fuzzy Network Analysis Process (FANP). According to the experts' opinions and the results of the network analysis process, the policy and regulation factor was in the first place and then the communication factors, technological capability, external environment, human, financial and technological characteristics were in the next ranks. Therefore, it is suggested that managers and policy makers, in order to facilitate and systematize the process, pay special attention to the creation/reinforcement of policy and executive institutions in commercialization and overflow of defense technologies to create the necessary infrastructure and mediation units.

Many technologies designed in the military sector can be used in civilian sector as well. The spillover of military technologies to civil has many positive consequences at the national, commercial and defense levels. The purpose of this study is to identify the factors affecting the spillover of military technologies to civilian via a model. The research is of mixed type (qualitative-quantitative). The statistical sample of the research in the qualitative section is 17 experts in the field of defense and commercial businesses in the country who have been selected by the method of snowball until theoretical saturation. The statistical sample in the quantitative section is 177 managers and experts in these two fields who were selected by purposive and available sampling. In order to identify the effective factors, the approach based on grounded theory and software MAXQDA-2020 was used and finally the validation of the obtained model was performed by factor analysis and software SMART PLS-3. According to the research findings in the qualitative section, 148 codes were identified in the form of 7 categories and after confirmatory factor analysis, 5 codes were deleted and the final research model was approved with 143 codes and 7 categories. The results of grounded theory regarding the frequency and importance of categories of military technology spillover to civilian, show that policies and regulations, communication factors between military and civil sectors, technological capability, environmental factors, socio-cultural factors, economic and financial factors, and technological features are the most important.