جستجوی مقالات مرتبط با کلیدواژه « Innovation » در نشریات گروه « مدیریت »

The present study aims to propose the concept of Strategic Innovation. In this research, the qualitative method of concept analysis was used to form concept of Strategic Innovation through abductive and synthetic methods by using existing concepts and insights. For this purpose, articles published after 2000 in the database of Google scholar, Science direct, Web of science, SID.ir and Ensani.ir, which included keywords of Strategic Innovation, were selected. Then results were filtered by the keywords of Designing, Create, Changing, Development, Competitive and Performance. Finally, after reading the abstract of articles, 73 of them deemed relevant to our study and were reviewed. Studies showed that Strategic innovation is related but different from the concepts of Designing, Create, Changing, Development, Competitive and Performance. Characteristics of Strategic innovation are Innovative organizational Culture, dynamic capability, Strategic Agility, creativity, strategic entrepreneurship and Creative Destruction. The components of Strategic Innovation are the types of Strategic innovation (organizational innovation, innovation and redesign of the processes, product/service innovation, and market innovation), the methods of Strategic Innovation (incremental strategic innovation and transformational strategic innovation), the Strategic and Entrepreneurship orientation (strategic renewal, emergent strategies, Advantage and Opportunity-Seeking Behavior, and identifying the changing priorities) and Strategic Competitive behaviors (analyzing the competition mechanisms and the new competition routes). Strategic Innovation is a meta-capability that including a sum of characteristic and components.

Sericulture as an economic activity can provide employment and empower the villagers. Therefore, extension of innovations related to it should be prioritized in the activities of related officials. This study was carried out with the aim of designing a model for the extension of sericulture, s innovation. The research is qualitative in terms of general approach and practical in terms of purpose. The studied community were experts and sericulture farmers who were selected by non-probability (targeted) sampling method. The results of the semi-structured interview were analyzed with the help of the grounded theory paradigm model. The validity of the data was confirmed through the review of the findings by the participants and the technique of triangulation. The main components of extension model of sericulture, s innovation in the country are summarized in the form of causal factors, contextual factors, intervening factors, effective dimensions, strategies and consequences. Extension of sericulture, s innovation will be possible through the development of support policies, help to expand the marketing of sericulture products, and solve the cultural-educational problems of experts and sericulture farmers.

The main goal of this research is to investigate the effect of digital transformation on innovation performance with the mediating role of innovation factors. The current research is applied from the point of view of the objective, and descriptive-survey and correlational in terms of data collection. The statistical population of this research includes the employees of the oil products distribution company, whose number is 150 people. The sample number of 108 people was selected by simple random sampling method. The collected data were analyzed by the method of structural equation modeling with partial least squares approach. Research findings show that digital transformation has an impact on innovation performance, innovation awareness and investment in research and development. Awareness of innovation and investment in research and development has an effect on the performance of innovations. Awareness of innovation and investment in research and development mediate the relationship between digital transformation and innovation performance.

The purpose of the current research is to investigate the effect of uncertainty in economic policies on innovation, and according to the theoretical foundations in this regard, the role of risk taking by managers and the company will also be investigated. The statistical population considered by the researchers in this research was the companies accepted in the Iranian capital market during the period of 1393 to 1400, after the implementation of the systematic elimination sampling method, 1000 companies entered the final sample of the research. The research method used is correlational and causal, and the data collection method is post-event, and the data collection method used in this research is using library methods and databases of the Tehran Stock Exchange Organization. . The type of data used in this research is a panel type and the regression method to implement the research hypotheses is a multivariable type. Five sub-hypotheses in this research have been investigated at the confidence level of 0.95 with stata software. The results of the implementation of the hypotheses show that the uncertainty in economic policies caused by changes such as exchange rates, inflation and bank interest has had destructive effects on the level of innovation in different companies in Iran's capital market, and companies that focus on creativity and Innovations in their products will be more affected by this issue, and further, the results showed that the higher the level of risk-taking of managers in companies, the lower the destructive effects of uncertainty in these issues. Furthermore, it was found that state-owned companies have a moderating role in the mentioned relationship as the company's risk tolerance.

In the current era, companies can maintain their long-term advantages in competitive fields by relying on innovation and strengthening and promoting innovation within themselves. The current research was conducted of identifying and ranking the effective indicators of the capacity of innovation with a qualitative-quantitative approach, which in terms of purpose is included in the category of development-applied research. The population studied in the qualitative section included 14 activists and experts in the field of research and development and innovation, and the findings of semi-structured interviews with them using a purposeful snowball sampling method led to the identification of 23 open codes. became in the quantitative part, the statistical population included all the managers and senior experts of the cooperating private companies in the number of 400 people, and 180 of them were randomly selected using Morgan's table. The data collection tool in the quantitative part was a researcher-made questionnaire, which was developed using the literature study, research background, and interviews. The findings indicate that among the identified criteria, the highest average rank belongs to the process category (4.13) and the lowest average rank belongs to the output category (4.00). It can be said that the identified indicators have a great impact on innovation and capacity improvement for private companies, which should be properly examined and the weaknesses and strengths of the organization should be evaluated to maintain and increase capabilities.

The purpose of this research is to investigate and prioritize factors affecting the success of e-commerce in small and medium-sized companies in Mazandaran province. The current research is applicable in terms of purpose, and descriptive-analytical in terms of nature and method. The statistical population of this research includes 15 experts with master's degree or higher, and at least 10 years of work experience in the relevant field and managers, and experts of small and medium companies in Mazandaran. Fuzzy Delphi method was used for review and prioritization. The best-worst method (BWM) was used to prioritize the factors and its components, and Lingo software was used for analysis. Effective factors include the components of 1- infrastructure (access to the Internet network, electronic storage of information, security systems and electronic payments), 2- payment system (payment authorization, various customer payment methods, settlement operations), 3- Knowledge and awareness (customer notification system, customer privacy consideration, company's response to customers' frequent questions), 4- Customer satisfaction (variety of products and advertisements, company's seasonal auctions, timely delivery of goods, building trust). The results show that the prioritization of factors affecting the success of  e-commerce, respectively, payment system, infrastructure, customer satisfaction, and knowledge and awareness gained the first to fourth rank of importance.

The purpose of this research is to design and explain the policy model for the development of electric vehicles in Iran. The research method is fundamental-applicable in terms of purpose, qualitative in terms of implementation, and fundamental-exploratory in terms of nature. The statistical population of the research includes 15 experts and policy makers in the field of automobiles in Iran, and the sampling was done in a targeted manner, and the interviews continued until theoretical saturation was reached. The data collection tool is a semi-structured interview. Data-based method was used to collect and analyze data. Data analysis and model design were done in three stages of open, central and selective coding. For data analysis, MAXQDA 2020 software was used for coding. The results show 435 primary/open codes, 40 concepts and 12 categories (economy and livelihood, transportation electrification, transnational thinking, up-to-date technology, initiative and innovation, market recognition, environmental protection, infrastructural measures, competitiveness economy and industry, risk and challenge, development-oriented governance, strategy and foresight).

The aim of the current research is to present a model for the implementation of new fintechs in the banking industry (peer-to-peer lending). The research method is applicable in terms of purpose, mixed (qualitative-quantitative) in terms of implementation, and survey in terms of nature and method. The statistical population of the research was the managers, supervisors and employees of the financial and technological fields of banks, experts and specialists in the fintech field in the country; and according to the principles and rules of the unlimited population, 384 people were selected as a sample. Data collection was done by semi-structured interviews in the qualitative part, and by the researcher-made questionnaire in the quantitative part. Coding and MAXQDA software were used in qualitative part data analysis, and SPSS and AMOS software were used in quantitative part. The results of the qualitative data analysis of the research were categorized as follows: In this regard, the extracted categories were categorized as follows: Causal conditions: organizational learning, system attitude, and information technology. Key conditions: communication capital, human capital, and structural capital. Governing platform: partner banks, external theorists, government, and environmental conditions. Intervening conditions: obstacles and challenges including organizational factors, community conditions, individual factors, and lack of education and research. Strategies: policy making, strategic plan, and employee satisfaction and loyalty. Consequence: knowledge-based policy making, knowledge management, innovation, creativity and idea, and knowledge-based organization. The results of the quantitative part showed that the fit indices of the model indicate the confirmation of the model at the confidence level of 99%.

The purpose of this research is to design the behavioral model of managers in the digital era by the approach of data-based theory. The research method is applicable in terms of purpose, and exploratory in terms of nature. The statistical population of the research is the managers of petrochemical companies affiliated to the National Company of Petrochemical Industries of Iran. 8 members of the participating team were selected by the purposeful sampling method. To collect and analyze the data, the foundation's data theory research strategy was used. The data collection tool is a semi-structured interview. Data analysis and model design were done in three stages of open, central and selective coding. The findings indicate that causal conditions include human factors, environmental factors, and organizational factors; the main phenomenon of managers' behavior include communications and interactions, trust, decision-making in uncertainty, personality traits, and digital behavior; background conditions include digital knowledge and understanding, digital education and culture, management of experience and digital talent and skills, future-oriented and digital strategic thinking, change management, and digital leadership ability; intervening conditions include digital mentality and attitude, manager's intelligence, manager's values, and the innovation and nature of business and industry; strategies and mechanisms include innovation and learning strategy, retention strategy, digital combination and focus, digital participation strategy, and digital leadership and governance strategy; and consequences includes consequences of individual dimensions and organizational dimensions.

Today, the role of start-ups in the economic development of societies is such that it has a significant share of planning and studies at various levels, including policy and business management models. Startups have to overcome many obstacles as they grow and mature, and non-dynamic and non-innovative groups rarely escape these developments. Therefore, in order for start-ups to be able to survive in a dynamic business environment, they need to have key marketing capabilities in a pattern that fits their life cycle, Accordingly, this research is defined with the aim of identifying marketing capabilities in start-up companies. In this regard, from a methodological point of view, it is an exploratory research that is applied in terms of purpose and mixed in terms of variables, and was conducted in a cross-sectional time horizon and with an inductive approach in a real and non-laboratory environment. Also, the geographical area of those start-up businesses located in Science and Technology Park, whose data was collected in the second half of 2019 and the first half of 2010. This research has been implemented in three main stages. In the first stage, the marketing capabilities have been identified and extracted using the literature review and previous studies. The method used in this step is systematic review. The reason for choosing this method is the accuracy and completeness of the scientific use of the main researches to minimize mistakes and random errors, and to identify the largest possible number of related studies on this issue. At this stage, the statistical population has all available valid articles and books of the last 20 years, and the validity of the used researches has been evaluated using the Kasp method. At the completion of this stage, using in-depth interviews, the list of marketing capabilities of Nova businesses has been completed. In the second step, the importance of marketing capabilities in the life cycle of start-up businesses was determined using a field survey and using a researcher-made questionnaire. At this stage, the statistical population has been the co-founders of startups based in the Fars Science and Technology Park Growth Center, and the participants were determined based on the list received from the Growth Center, based on access. The statistical population at this stage has been 242 active startups in this center, based on Cochran's relationship and with an error rate of 10%, the sample size of 69 cases was determined, and 56 questionnaires were completed based on accessibility and willingness to cooperate. The validity of the questionnaire was confirmed by formal method and based on the opinion of two academic experts and its reliability was confirmed using Cronbach's alpha coefficient (0.726).In the following, the average of the collected data was compared using the non-parametric Kruskal-Wallis test, and based on the significance of the average difference, the important capabilities at each stage of the life cycle of start-up businesses were determined and the final model was presented. Based on the findings, 56 features were identified and grouped into 13 categories. Names of groups: communication capital management, product management, marketing systems and resources, operational capability, distribution, marketing research, marketing human resources management, brand management, customer management, promotion and advertising, diversification of marketing methods, sales management, digital marketing. As a management recommendation, startups can use this model as a scientific tool for decision-making and problem-solving of the marketing capabilities of their businesses. In addition, the use of this model can help start-up companies in a dynamic business environment, by recognizing important marketing capabilities at different stages, strengthen these capabilities and add to their previous capabilities. Also, scientifically, this model has led to the expansion of the scientific scope of innovation of business models and can be a basis for research related to the management of start-up businesses.

Despite the existence of various scientific-research infrastructures, such as research institutes and research centers, science and technology parks, and different incubators in Ilam province, student-based knowledge-based companies and nuclei are few. Considering the importance of developing and promoting entrepreneurial activities and the role of universities and higher education centers in the formation of the entrepreneurial ecosystem, this research was conducted to develop a model for the promoters of the entrepreneurial ecosystem at Ilam University.

In this research, the promoters of the entrepreneurship ecosystem of Ilam University were analyzed using the Delphi technique in three rounds. After reviewing the literature and the internal and external experiences of the formation of academic entrepreneurship ecosystems, a semi-structured questionnaire was developed to explore the promoters of the entrepreneurship ecosystem from the perspective of the research participants. The participants were 14 faculty members of Ilam University who were experts in the field of entrepreneurship and innovation ecosystem and were studied purposefully. In the first round, based on a semi-structured interview, the promoters of the entrepreneurial ecosystem were compiled based on the participants' points of view and examined the literature. In the second and third rounds, the participants expressed their opinions about these promoters on a Likert scale. SPSS version 26 and Excel software were used for data analysis.

The results showed that some promoters of the innovative entrepreneurial ecosystem at Ilam University included improving the structure of the entrepreneurship ecosystem in the university to develop technological and entrepreneurial activities of faculty members and students, setting up a business and entrepreneurship consulting office in colleges, defining and allocating innovation grants for projects of faculty members, theses, and student theses in the form of student business cores, strengthening group and team cooperation in teaching, projects, and research plans, project cooperation with organizations, forcing faculty members to specialize their research and consulting activities and to set up the market and labor market information system of Iraq and the jobs and labor market of the country and the province.

Conclusion/ Implications: 

Considering the importance of the structure in advancing the entrepreneurship ecosystem and the experiences of successful universities in the world in this field, it is suggested that Ilam University, taking into account the existing laws and regulations, set up the Vice-Chancellor of Entrepreneurship and Technology in the university. Changing the title and function of the Science and Technology Development Center Council to the Innovation and Entrepreneurship Ecosystem Council is another recommendation. In the next step, it is necessary to revise the description of the duties of this council and formulate its duties according to the functions of the innovation and entrepreneurship ecosystem of the university.

The Purpose of This Research is to Determine a Suitable Model for Evaluating the Strategic Thinking of the Studied Employees. In This Research, Strategic Thinking from Global, Competitive, Outsourcing and Privatization Approaches, Productivity, Technological, Knowledge-Oriented, Motivational, Systemic, Intuitive, Innovation and Creativity, Customer-Oriented and Marketing, Thinking in Time and The Focus is on the Goal, and to Evaluate Strategic Thinking, we Can Examine These Dimensions. The Current Research is Survey in Terms of Method, Analytical in Terms of Type and Practical in Terms of Purpose. The Statistical Population of the Research is the Customers of Sadarat Bank Branches in East Azarbaijan Province. The Sampling Method was Clustered and the Sample Size was 200 People Using Cochran's Formula.In Order to Analyze the Data and Information, Descriptive and Inferential Statistical Methods Were Used and For the Statistical Description of the Variables, Frequency Distribution and Central and Dispersion Indices Were Calculated. For the Inferential testing of the Hypotheses, Independent t-Test, Analysis of Variance, Pearson and Multiple Linear Regression Were Used Step by Step and to Perform Calculations Related to Data Analysis, SP Software Package Was Used. SS has Been Used. The Findings of the Research Show that There is a Significant Relationship for the Evaluation of Strategic Thinking with its Dimensions.

The development of sustainable and environmentally friendly solutions is critical in today's world. Technology-based startups play a crucial role in achieving these goals through innovation and the use of advanced technologies. This study aims to qualitatively analyze the experiences of entrepreneurs in sustainable development and environmental domains within technology-based startups. This qualitative study utilized semi-structured interviews to collect data from 25 entrepreneurs active in sustainable development and environmental fields within technology-based startups. Theoretical saturation was achieved, and the data were analyzed using NVivo software. Four main themes emerged from the analysis: financial and investment challenges, technological challenges, environmental challenges, and opportunities and benefits of technology-based startups. Each theme included various subcategories and concepts, reflecting the diverse experiences and viewpoints of the entrepreneurs. The study highlights that technology-based startups face numerous challenges in sustainable development and environmental domains but also have significant opportunities. Addressing these challenges and leveraging the available opportunities can enhance the performance and sustainability of these startups.

During the Fourth Industrial Revolution, technological advancements have posed new challenges for businesses. Traditional methods of operation often rely on historical evidence and past indicators, making them susceptible to discontinuous changes. Consequently, managing and understanding uncertainties has led to the growing importance of future-oriented approaches in designing business models. However, no comprehensive study has been conducted on suitable foresight methods for designing business models in startups. Given the unique characteristics of startups, such as age, growth, and resource constraints, the methods that commonly employed by medium and large enterprises may not be applicable to them. Therefore, there is a need for independent research in this area. The main question of this research is: "What are the most important foresight methods that are considered in the analysis or design of the business model in startups?". Based on this question, a quantitative approach using the scientometric method and a qualitative approach using the questionnaire method were used. Based on scientometric studies, it was revealed that the trend of using forecasting methods in designing and developing business models is growing. Summarizing the obtained results shows that the "scenario" method is the most important appropriate foresight method in the design of a futuristic business model.

Despite the importance of strategic innovation in the organization, research in this field is in its infancy and most studies have only described one or more aspects of these influencing factors. The purpose of this study is to identifying and conceptualizing the Antecedents of strategic innovation.

This research is a mixed method (qualitative-quantitative) and in terms of purpose, it is applied-developmental research. At first, in the qualitative stage, meta synthesis method was used, then case study, and in the quantitative stage, DEMATEL method was used. To collect the data in the meta synthesis stage, a systematic literature review published in the years 1998 to 2022 was used, and in the case study stage, interviews were conducted with 21 experts active in the executive and academic department of football industry. Content analysis was used to analyze it, and finally, in the survey phase, using a questionnaire, the DEMATEL technique was used for the final model.

Research innovation: 

The results of the present research help managers and activists of the football industry to have a comprehensive view of the antecedents of strategic innovation in the football industry and provide the necessary background and platforms for strategic innovation in the football industry.

Innovation is the key to economic development that should be considered in reviewing the processes and policies of organizations. The purpose of this study is to present a model of innovative behaviors, considering the changes in the market and technology in knowledgebased companies, technology and growth centers.The research is applied in terms of purpose, descriptive-survey in terms of nature and method. To test the hypotheses, a 78-item questionnaire according to Likert scale was used. The statistical population of the research is 224 knowledge-based companies, technology and service growth centers located in the Science and Technology Park of Hamedan province. The sample size was 141 companies based on Krejcie and Morgan table. Cronbach's alpha coefficient was calculated and confirmatory factor analysis was used to evaluate the validity of the structure using Lisrel software. In order to analyze the findings, the path analysis model, for the analysis of the mediating variable, the Sobel test, and for the analysis of the moderator variable, the modified multiple regression test method was used. The results showed that the values supporting innovation, innovative behaviors and innovation norms can have a direct and indirect positive and significant effect on the agility and performance of the company. The results of the mustard test and the adjusted multiple regression test (moderator) indicated that the company's agility plays the role of the mediator variable and technology and market turbulence the role of the moderator variable in the relationship between other variables.