جستجوی مقالات مرتبط با کلیدواژه « Knowledge-Based Companies » در نشریات گروه « مدیریت »

Collective stupidity as a destructive enemy of organizations is the cause of repetition of past mistakes, slowness in sharing knowledge, distorts the effective performance of knowledge workers and produces costs resulting from trial and error. Purpose of this research is to provide a model of CD of KBCs.Qualitative data extraction is the product of in-depth interviews and database approach. Targeted sampling of specialists and experts of 12 KBCs was done.Non strategic thinking and unilateralism, inefficient recruitment system, lack of improvement of human resources, defect of elitism system, managerial weakness, lack of productivity of payment system, High formality as the strategies provide the possibility of establishment of the phenomenon of CS. Causal factors in the three categories of individual, group and organizational factors have a direct effect on the strategies of CS. Organizational culture, the nature of knowledge activities and the characteristics of the organization are also provide the ground for the realization of CS strategies and have an indirect effect. Collective stupidity leads to individual and organizational consequences such as reduced creativity, lack of organizational agility and CS.

Today, the sports industry is an indispensable part of the economy, playing an essential role in both the practical and spectacular sectors, in the production and use of sports equipment and services, and in the development of the national economic sector. In today's world, the long-term survival of a business depends on its strength and ability to successfully introduce its new products to the market. The establishment of some companies in the sports industry has made it important to develop new products in this industry and create entrepreneurship and employment. Attention to the sports industry and the abilities of this industry to develop and expand entrepreneurship and create new businesses related to sports in Iran has created a suitable field. The purpose of this research was to investigate the effect of sports knowledge-based companies on entrepreneurship and the development of sports products.

The research was an applied study in terms of the objective and a descriptive survey in terms of data collection and analysis. The statistical population was made up of all managers and experts of sports-related knowledge-based companies in Tehran, which amounted to 43 companies based on the information obtained from Tehran Science and Technology Park, and all were selected as the research sample. The data collection instrument was a standard questionnaire whose validity was confirmed by management professors and whose reliability was endorsed by previous studies. Descriptive statistics (e.g., frequency, mean, and standard deviation) and structural equations were used for analysis using SPSS and AMOS software packages.

The findings showed that all absolute and relative fit indices were at a very good level. Also, the RMSEA fit index was 0.048. Therefore, the model had a good fit. Also, knowledge-based companies were found to promote the culture of sports entrepreneurship and innovation in producing new products in the sports industry. On the other hand, the impact factor of sports knowledge-based companies was 57% on sports entrepreneurship, 24% on the development of sports products, and 75% on the development of sports products.

Conclusion/ Implications: 

It can be drawn from the results that it is necessary to lay the ground for the establishment and expansion of knowledge-based sports companies to promote sports-related businesses and the production of sports products, goods, and equipment. Furthermore, the establishment of companies in the field of entrepreneurship and sports, the application of innovative technologies and systems, and the development of sports equipment and products with innovative and developmental capabilities can contribute to the sustainable development of sports activities and the creation of new business and economic opportunities in this industry.

The entrepreneurial ecosystem provides a growth model for entrepreneurs and by determining related indicators and elements, it identifies opportunities and threats and provides the basis for the growth of entrepreneurial activities. The aim of the current research is to develop the entrepreneurial ecosystem model with the approach of employability of knowledge-based businesses based in Science and Technology Park of Tehran University. In this regard, through interviews with 20 academic experts and entrepreneurs related to the field of research, the field under study was investigated with a qualitative method. The analysis of information in the qualitative section has been carried out by the method of theme analysis. The results of the research showed that the entrepreneurial ecosystem model can be designed with the approach of employability in six categories of human capital, financial capital, market capital, cultural capital, political capital and support capital, and each of these sectors had different subsystems. It was also concluded that paying attention to the development of the entrepreneurial ecosystem model has results such as the development of innovation and entrepreneurship and the creation of sustainable employability.

The development of non-oil exports is of great importance for a country whose industry is based on the export of oil and its derivatives. Given the emergence of technology-based industries in the past two decades and the increasing importance of the technology economy, focusing on the development of exports of innovation and technology-based products is more necessary than ever. Therefore, examining the existing supportive policies in the country and successful global models to optimize and increase the effectiveness of these policies is crucial.This research examines the supportive policies of the Vice Presidency for Science, Technology, and Knowledge-Based Economy in the development of exports of innovation and technology-based products and formulates an optimal model for supporting knowledge-based businesses. This study has been conducted using scientific research methods, and its results can be extended to other supportive institutions such as the Trade Promotion Organization, the Small Industries and Industrial Parks Organization of Iran, and the Innovation and Prosperity Fund of the Presidency.To achieve the research objectives, qualitative case studies were conducted, and other research areas were reviewed. Additionally, semi-structured interviews with experts and specialists in the fields of export and technology were conducted to gather their opinions.The obtained data indicate that supportive policies have been analyzed in three approaches: government-oriented, firm-oriented, and intermediary-oriented, and an optimal model based on these approaches has been proposed. The research results reveal that the executive policies in the country’s governmental structures, especially in the Vice Presidency for Science and Technology, have weaknesses that need to be addressed and improved. Among these weaknesses are the need for more attention to the export of knowledge-based companies, decentralization from reliance on budget and financial support, and maximum utilization of innovation and technology infrastructure in the country. Additionally, attention to the network of Iranians abroad and extracting comprehensive statistics on the official and unofficial exports of these companies are other important points for improving supportive policies.

The aim of the current research is to study the research process around the concept of dynamic capabilities and identify its components in knowledge-based companies, using bibliometric analysis method. Bibliometric analysis provides a critical review to identify the main themes and basic concepts of the subject. The data collection tool is the databases resulting from the search of WOS articles, and the analysis method is bibliometric tools using R. The number of reviewed articles is 2242 published in the period from 1991 to 2023. In the first step, the descriptive statistics of the extracted researches were stated, the growth rate of approximately 15% in this period of time indicates the importance of the research subject from the researchers' point of view. In the next step, the most influential people, works and publications were identified. In order to investigate contemporary trends and research flows in the field of dynamic capabilities, six clusters were obtained based on the clustering method through bibliographic pairing. The results of this clustering showed the centrality of knowledge in all these thought processes. After extracting and clustering the articles, the naming of each cluster was done based on the important parameters of the most frequent keywords of each, which are the seven components of "identifying, interpreting and exploiting opportunities", "creativity, innovation and agility", "leadership", "learning", " Organizational capitals, "adaptability" and "organizational culture" were identified. Stating the two components of "leadership" and "organizational culture" as aspects of dynamic capabilities is one of the innovative aspects of this research.

The current research has been conducted with the aim of identifying and investigating the effective factors of digital currency technology adoption in knowledge-based companies of Shiraz. The current research is considered an applied research in terms of its purpose. Considering that the purpose of this research is to provide a model and framework to identify factors affecting the adoption of digital currency technology; Therefore, no specific hypothesis is proposed for this research, but instead of testing the hypothesis, the researcher seeks to find the answers to the research questions as follows.What dimensions, components and indicators are included in the model of factors influencing the adoption of digital currency technology?What is the impact of the specified dimensions and factors on the adoption of digital currency technology in knowledge-based companies in Shiraz?In the new research method, the scope of the research is limited in terms of space, time and subject, so that there is a necessary focus on the subjects and the researcher can reach the desired answer by posing questions. Therefore, in this research, the subject, spatial and temporal scope of the current research are:Subject area: The current research is thematic in the field of digital marketing management in order to identify and examine the appropriate factors for the adoption of digital currency technology in knowledge-based companies.Spatial territory: Spatial territory of a research represents the environment of that research and the place where the research is carried out. In the current research, knowledge-based companies located in Science and Technology Park in Shiraz city and other knowledge-based companies in Shiraz city are selected as the spatial territory.Time domain: it is very important to conduct a research and collect its data in specific and precise time ranges, therefore the time range of this research is divided into two qualitative and quantitative categories, which is the collection of research literature and qualitative data in the second half of 2022 and Quantitative data collection and analysis was done in the first half of 2023.

Considering that this research uses a mixed approach, in the current research, in the qualitative section, through library studies, information is collected about indicators related to the acceptability of digital currency technology using the theories of technology acceptability, and in the section Shortly after designing the research model and model, the model is tested by examining the relationships between the variables. So this research will work with a mixed method. Therefore, the approach of this research is presented in an inductive and comparative form, the analysis method of this research is in the qualitative part of the content analysis using the information obtained from the studies and in the quantitative part, the survey strategy will be used in the knowledge-based companies of Shiraz. This research will be exploratory in the qualitative part and descriptive in the quantitative part, because in the qualitative discussion the researcher is looking for revelation and understanding and in the quantitative part, he is looking for description and explanation. The environment of this research will be in the qualitative part of the library and in the quantitative part of the field. In terms of philosophical foundations, this research is placed in the pragmatism paradigm. In this research, which uses qualitative content analysis, after defining the main question of the research, the researcher looks for the indicators needed for the research, then the indicators are divided into smaller categories in the form of coded categories and the smaller components are displayed in the form of more regular dimensions. According to these steps, first the research problem regarding the necessity or non-obligation of accepting digital currency in knowledge-based companies was determined, and the research question was determined that what dimensions, components and indicators are included in the digital currency technology acceptance model? After that, the research variables were selected based on the previous research literature and then its sampling, which includes articles, books, magazines and other scientific publications regarding the adoption of new technologies, especially digital currency. was selected, and in the next step, coding and categorization were done using related researches that have been done, and finally, the validity and reliability of the model was tested, and in other words, the final model was fitted.

The variables of economic control and economic trust are from the dimensions of economy-related factors, appropriate distribution and access variables, price-related factors, advertising from the dimension of marketing factors and individual trust variables, perceptual factors, attitude and related factors with the health of people, they can influence the acceptance of digital currency technology from an individual and social perspective. And only the variable of subjective norms from the individual and social dimension could not get the acceptable quorum.

Factors related to the economy, effective factors, and individual and social factors each contribute to the adoption of digital currency technology in knowledge-based companies in Shiraz.

The purpose of the current research is to identify and prioritize the antecedents and consequences of Engaging Leadership in knowledge-based oil refineries using the fuzzy Delphi approach. The method of this research is mixed (quantitative and qualitative) in the inductive paradigm, which is exploratory in terms of purpose, application and nature. The statistical population of the research consists of 16 experts of oil refineries, who were selected based on the principle of theoretical adequacy and using the purposeful sampling method. In the qualitative part, a semi-structured interview was used to collect information, the validity and reliability of which was confirmed using the CVR coefficient and Cohen's kappa test, and the data obtained from the interview were coded and analyzed using the Atlas ti8 software. As a result, the antecedents and consequences of passionate leadership style were identified. In the quantitative section, a pairwise comparison questionnaire was used to collect information, and its validity and reliability were confirmed using content validity and retesting.

The role of organizational knowledge in the economic development of countries and the creation of added value, especially in developing countries, has been the focus of development-oriented economists and politicians. In this view, knowledge-based industries and new technologies, as well as the growth of knowledge-based companies, are very important. Technological learning is one of the important topics for developing innovation and improving the business performance of these companies. The purpose of this research is to provide an integrated model for improving the business performance of knowledge-based nanotechnology companies based on technological learning modes. In terms of purpose, this research is applied, in terms of data collection method, it is a correlational description and in terms of data type, it is a quantitative research. Structural equation modeling and partial least squares method and SPSS and SMART PLS software were used for data analysis. Using appropriate techniques, the reliability and validity of the structures were measured and confirmed. The results of the model in the standard estimation mode showed that the direction and intensity of the relationship between all the variables were acceptable and the model had appropriate validity. The findings of this research confirmed the existence of a positive and significance relationship between different modes of technological learning, innovation and commercial performance of nanotechnology companies. Also, the experience-based learning mode has a greater impact on the innovation and business performance of these companies than the science-based learning mode, and external drivers have a greater impact on the technological learning modes of nanotechnology companies than internal drivers.

Usually, the strategies established by institutions affect the company's performance, so less attention is paid to systems such as taxation, incentive strategies, maintaining business ownership, and their mentality towards sustainable and continuous growth of startups. This article aims to design a model of entrepreneurial financing strategies. The research method applied has a mixed approach (qualitative-quantitative) of an exploratory type. In the quantitative part of the research, the data collected through a questionnaire designed based on the identification indicators of the entrepreneurial financing strategies model and distributed among the studied community were quantitatively analyzed statistically. For statistical analysis, the structural equation method and SPSS and SMART-PL software were used. In the qualitative section, after reviewing and analyzing the content of all interviews, the proposed model of entrepreneurial financing strategies for knowledge-based companies in Iran includes eight main components, including contextual factors related to potential sources of financing, legal and upstream factors, communication factors, international, regional factors, and sanctions, entrepreneur's characteristics, innovation, business-related factors and, management factors.

Engaging leadership, due to its unique capabilities in creating people's Engagement at work and its role in interpersonal relationships, as an emerging concept, can be effective in increasing the ability to face the challenges of knowledge companies. Therefore, this research explores the lived experiences of engaging leadership challenges in interpersonal relationships of knowledge-based companies. The research methodology is Husserli's descriptive-phenomenological. The research environment is knowledge-based companies and the research population is people who were working in knowledge-based companies, and information was collected through semi-structured and in-depth interviews; interviews were conducted with 16 employees until data saturation. Convenience-sampling method dependent on the criterion was employed. The researcher was looking for an answer to the question, what challenges does the engaging leadership face in the inter-personal relations of Iran's knowledge-based companies, and what requirements should be considered for the leadership of these knowledge workers? The validity of the research data was verified by returning to the interviewees, in-depth descriptions, and external auditors. Data analysis was done by the 7-step Collaizi method. The results show that the challenges of engaging leadership in knowledge-based companies can be seen in elements such as consensus on the same goals, avoiding reality, added social dignity, stimulation of collective self-efficacy, and communication conflicts.

Today, knowledge-based companies play a very important role in achieving advanced technologies and producing innovative products, and as a result, the growth and development of countries. The success of these companies is due to the development of advanced research and development activities that have a high level of technological complexity.

The current research is of mixed type. In the qualitative part, the grounded theory approach was used and the data was collected using interview tools and literature review. Quantitative part data was collected from the desired statistical population through a researcher-made questionnaire, then data analysis and model fitting with structural equation modeling method and using smart software pls3 done.

91 effective factors on determining the level of technological complexity in the form of six categories were identified and the presented model was confirmed.

The model for determining the level of technological complexity of research and development activities resulting from the present study can be a suitable tool for managers of research and development departments of knowledge-based companies in order to improve the level of research and development activities based on global standards and creating transformation in the fields of technology and knowledge production.

Courage is important and necessary for ethical behavior in organizational environments that moves people in the right and moral direction. PolicyMaking in knowledge-based companies on organizational courage is to expose harmful behaviors and prevent them. To present the policy model of knowledgebased companies by measuring organizational courage. Based on a mixed research approach; In the first stage, in the qualitative part with the foundational data theory method and the method of interviewing managers , through 20 interviews up to the theoretical saturation, information was collected, and in the second stage, quantitative research, relying on the paradigm model, designed a questionnaire and 40 samples with SmartPLS software was reviewed and the final model was presented. five main components and nine components were extracted; Causal conditions (characteristics, flexibility and changeability), intervening component (organizational structure), strategy component (human resources development), background conditions component (behavioral courage, verbal courage, courage in thinking and mental courage) and finally the consequences component with subcomponent organizational development. Knowledgebased companies, which are based on private capital and specialized knowledge of individuals, must bravely receive the expert opinions of individuals and involve their opinions in managerial decisionmaking in order to implement organizational policies. Policy, Model, Organizational Courage, KnowledgeBased Companies

The new age is the age of competition for scarce resources and creative and talented employees. If organizations make the most of scarce resources and turn the new knowledge into new products and services in the light of educated people, they will be successful in this field. Having access to these innovations requires paying attention to strategic entrepreneurship. Strategic entrepreneurship in organizations promotes new products and services and processes, improves growth and profitability, increases financial efficiency, creates wealth, and most importantly, creates and maintains competitive benefits. The aim of this study is to investigate the effect of strategic entrepreneurship on competitive advantage in knowledge-based companies in Bushehr. This research is applied in terms of purpose and descriptive-correlational in terms of data collection and the required data have been collected by distributing a questionnaire among 150 employees of knowledge-based companies active in Bushehr Science and Technology Park. To test the research hypotheses, structural equation modeling has been used based on the partial least squares regression. The results show that the main hypothesis of the research and the three hypotheses (the effects of entrepreneurial culture and leadership, the use of creativity, and innovation and entrepreneurial mentality) were confirmed and hypothesis of positive and significant effect of strategic resources on competitive advantage was rejected. If the strategic entrepreneurship is followed up correctly, and culture improvement, entrepreneurial leadership, innovation and creativity and entrepreneurial mentality are persuaded by the organizations and companies’ leaders, they can overtake their competitors. Therefore, pursuing the innovative and beneficial ideas with the aim of creating permanent competitive advantage is suggested in a long-term perspective.

This study examines the factors affecting the model that is presented for the competitiveness of selected knowledge-based companies in the fourth industrial revolution. 23 components were identified and categorized into six factors: causal, contextual, intervening, central phenomenon, strategies and measures, and consequences. Using these components, a questionnaire was designed to determine the current status of selected knowledge-based companies in Iran, and a total of 127 completed questionnaires were collected from 197 knowledge-based manufacturing companies of the first type in the field of electricity and electronics, laser and photonics in the country. was done to examine the current state of the model components. The data was analyzed with SPSS and PLS software. In the analysis carried out, the coefficients of factor loadings of the components are more than 0.4, which shows the appropriateness of this model. Cronbach's alpha and composite reliability is more than 0.7, which indicates the appropriate reliability of the model. Construct validity, convergent validity and divergent validity also had favorable results. The results showed that all the components in the presented model for the competitiveness of selected knowledge-based companies in the fourth industrial revolution played a role, and the current state of all factors except the causal factor, which is in an average state, are in a favorable state.

The current research was conducted with the aim of presenting a model of dynamic capabilities for the development of the innovation ecosystem. The research method was fundamental in terms of objective and in terms of data collection, it was mixed exploratory, using inductive-deductive approach. The data were analyzed in the qualitative stage, using thematic analysis, and in the quantitative stage, with the combined technique of Dimtel-ANP. The participants in the qualitative and quantitative part were 12 managers and entrepreneurs of knowledge-based companies active in the field of export in Semnan province, who were selected through a purposeful-judgmental process.The model of dynamic capabilities for the development of the innovation ecosystem was categorized during the coding process in the theme analysis with Maxqda software. Then, a model was presented with the fuzzy Dimetal technique of themes, and finally, the indicators were prioritized by the fuzzy ANP technique. The results of the research indicate four core codes of dynamic capability in products, dynamic organization in ecosystem, dynamic capability in management and dynamic capability in technology. Moreover, the components of dynamic capabilities in products and technology are considered the most important and influential, and dynamic capabilities in management and dynamic organization are considered the most effective dynamic capabilities in the ecosystem.

Today, with regard to preserving the environment and generating sustainable income, the closed-loop supply chain is at the center of attention as a means to reuse products. However, utilizing knowledge management in these chains without modern technologies such as blockchain is challenging. For this purpose, knowledge blockchains have been developed to enhance these capabilities. On the other hand, knowledge-based companies in the country, if they can harness the benefits of knowledge blockchains in their closed-loop supply chain structure, will be able to gain many advantages. This research has been conducted as an innovative effort to integrate knowledge management with the modern technology of knowledge blockchains in the closed-loop supply chain of knowledge-based companies. The objective of this research is to improve the performance and efficiency of these companies in knowledge management and the utilization of knowledge blockchains in the field of the closed-loop supply chain. To achieve this goal, first, by reviewing the research background, 10 factors influencing this research were identified. Subsequently, to validate the impact of these factors on the implementation of knowledge blockchains in the supply chain of knowledge-based companies, a One sample t test was employed. By confirming the influence of 10 significant factors and utilizing data from 14 knowledge-based companies situated in Yazd Science and Technology Park and collecting 83 questionnaires, the current status of knowledge-based companies in implementing blockchains in their closed-loop supply chain was identified using the fuzzy cognitive map technique. Based on the developed system structure, backward and forward scenarios were designed. The research findings indicate that the cooperation factor exerts the greatest influence on the behavior of other research factors. Among other results of the research, we can highlight the significant role of the reliability and security assurance factor compared to the interoperability factor.

The purpose of this research is to identify the dimensions and components of the maturity model of the open innovation ecosystem in Iran's defense industries based on the purposeful use of knowledge flows, in the form of ideas, science or technology in order to create value that can bring significant benefits to the individuals and organizations, including accelerating the main processes inside the organization (internal innovation) or expanding the market (external innovation) outside the organization. This research is an applied-basic one. In order to do so, 485 papers in the field of open innovation were collected using the meta-synthesis method. Based on the algorithm for selecting the final articles, the data of 80 articles were analyzed, and the maturity model of open innovation ecosystem was designed using the coding method and Maxqda Analytics Pro Software. To check the quality or reliability of the indicators, Kappa coefficient was used in SPSS software, which is equal to 0.86 in the current research, that indicates the appropriate reliability of the indicators. The analysis of the concluding model and the findings of this research showed that the open innovation ecosystem has several components in forms of 13 categories and 23 concepts, including collaborations and joint ventures, investment in ideas and research, and crowdsourcing. Also, the results showed that participating in investment, making mutual contracts with companies active in the field of business, and acquiring small and knowledge-based companies can accelerate the main processes of innovation within the organization.

Today, there is a highly competitive environment between organizations and the dynamics of technology and environmental complexities have caused organizations to survive in this competitive environment to think about differentiating and creating features for their products to be able to compete with competitors. Overcoming and looking for ways to make more profit, one of the things that is used in this regard is the discussion of branding. Therefore, the present study was conducted with the aim of designing a model for branding technological products in knowledge-based companies. This research is a qualitative research in terms of applied purpose. The statistical population of the study consists of branding experts and marketing managers of knowledge-based companies who have been selected using purposive sampling method. The data collection tool for identifying categories is semi-structured and unstructured interview. To check the validity, the Cresol model was used along with the content validity and the reliability of the encoder and intermediate encoder. In this research, to present the research model, the data theory theory approach with Strauss and Corbin method has been used. In Strauss and Corbin model, the main elements of the model are causal conditions, underlying factors, interfering factors, pivotal phenomena and strategies and consequences, which are identified in this section using Atlas.ti software and coding method. The results of the research include providing a model including causal conditions (brand planning, competitive conditions, sanctions and market research), context (culture, organizational performance and organic structure) and interventionist (legal infrastructure). And management, organizational effectiveness, economic status and social responsibility) along with introducing the central phenomenon (brand Architecture, brand position and brand trust) and presenting technological product branding strategies (brand architecture, advertising and marketing strategies) and identifying its consequences (Profitability, brand equity, economic development and program and technology development). In this research, the branding model of technological products is presented based on the three axes of brand awareness, brand position and brand trust.