Knowledge-Based Companies

The purpose of this study was to design and fit an e-commerce implementation model in knowledge-based companies active in the field of information and communication technology in Tehran province. In this research, the research policy of data foundation theory was used. The statistical population of the qualitative section consists of experts familiar with the subject of research (university professors and experts in the field of study). In order to determine the sample size, a purposeful method was used and until the new concepts were not enumerated, the interview process continued until the 15th person. The statistical population of a small part is all employees of knowledge-based companies active in the field of information and communication technology in Tehran that according to surveys, approximately 21,000 people work in these companies which 378 people were selected as the sample size by racemose or random classification and Morgan table. In this research, two questionnaires have been used to collect the data needed to measure the studied variables. Experts' opinions were used to evaluate the validity of the questionnaire and Cronbach's alpha reliability of 0.87 was obtained. To analyze the data, the grounded theory approach and structural equations have been used and the software is PLS. Findings showed that 81 sub-components constitute the dimensions of the model and the results of model fit also showed that the research model is valid for implementation and according to the analysis, it was found that at the 95% confidence level, all paths are significant, and as a result, the six main dimensions and subcomponents related to the model are approved.

The present study aimed to provide a framework for identifying the determinants affecting the export development of nanotechnology products of knowledge-based companies in the construction industry. Methodologically, the research was conducted qualitatively using a grounded theory approach. Data collection was conducted through document review and interview. The purposive and snowball sampling continued until theoretical saturation. The data analysis results were obtained in three steps of open, axial, and selective coding. During the open coding process, categories such as causal, contextual, intervening factors, strategies and actions, and consequences of export development of nanotechnology products were extracted. Then, in the axial coding stage, a link between these categories was identified within the coding paradigm. In the selective coding stage, all components of the coding paradigm were explained, and the theory was developed. After the coding process, the main categories were extracted by conducting fifteen in-depth and semi-structured interviews with practitioners and experts of nanotechnology knowledge-based companies in the construction industry. The benefits of exporting knowledge-based products and services made this a strategic issue for the industry. According to the results, the export of knowledge-based products and services had benefits, including job creation, wealth creation, economic prosperity, comprehensive corporate development, synergy, and increased exports.

The purpose of the present study is to present a model for the use of the Internet of Things in Iranian knowledge-based companies. From a purpose point of view, this research can be classified as applied research and in terms of data collection, it can be categorized as a qualitative and quantitative study. The main approach for achieving the model of using the Internet of Things is the grounded theory methodology which is based on a paradigmatic model. The research population for the qualitative phase is comprised of 25 executives and practitioners of knowledge-based companies who are somehow specialized in Internet of Things topics. The sample of this study was selected using the snowball sampling method and Cochran's formula for finite communities among all the managers and technology experts working in knowledge-based companies. After careful analysis of the interviews, 59 extracted concepts were identified in 5 main categories and 13 subcategories. Management requirements, customer requirements, and resistance economics give rise to the Internet of Things in knowledge-based companies.  The characteristics of the company, the characteristics of the human resources and the characteristics of the managers can provide a suitable ground for using the Internet of Things. And the conditions in the country, international pressures and international cooperation can be among the intermediary factors influencing the use of the Internet of Things. Raw materials and infrastructure can also be effective strategies for using the Internet of Things. Using the Internet of Things, customer-related factors, international collaborations, and expected results can be expected in knowledge-based companies.

Knowledge, as one of the pillars of success, is an essential factor for innovation, production and economic growth. Knowledge management is a new strategy that organizations, would need that so as to increase their performance and success. In case companies don’t use knowledge management system correctly and at proper time, they would be either faced with failure or obliged to leave the arena of contest. Agricultural knowledge-based companies have a key role for the regeneration of the agriculture and increase of the employment of agricultural graduates in this field. As presently the challenge of managers is to provide a suitable environment for the growth of the human mind in knowledge-oriented companies that embrace a cutting-edge approach to knowledge management, wherein knowledge is tailored to fit the specific context, are poised for success. By fostering effective learning, this approach leads to enhanced performance and improved efficiency. In this study, many studies were reviewed and generations of knowledge management were analyzed with a paradigmatic approach. Almost 100 related books and articles were reviewed through archival research. The findings showed that knowledge-based companies should go from the first generation of knowledge management to the use of the fourth generation; that way the internet use, social networks, analytical tools, intelligent agents, etc., might have a great participation with one another, which leads to their stay in the contest scene, and their faster achievement of future-oriented and dynamic results. Therefore, it is suggested that agricultural knowledge-based companies have focus on transformational management and its characteristics.

High transaction costs have been cited as limiting access to credit in developing countries. This issue is much more critical for knowledge-based companies due to their position in accelerating economic growth and the particular characteristics of these companies. Therefore, this research aims to evaluate the transaction cost of financing knowledge-based companies from an official fund in Iran that provides financial support for innovations and technologies. The data was collected through interviews and questionnaires in a sampling of knowledge-based companies in 2022. In this study, after calculating the transaction costs of financing, the effect of the factors affecting it has been investigated. The investigated sample was 123 companies from the fund's customers. The results showed that, on average, the ratio of transaction cost to the facility, transaction cost rate, total cost rate (transaction cost and interest rate), and the ratio of transaction cost to interest rate are equal to 3.33, 7.04, 15.66, and 0.81, respectively. Based on the results, the facility amount, the number of payment steps, the distance between the request for the facility and the contract, the interest rate, and dummy variables for the type of facility have a positive and significant effect on the transaction cost

Purpose: This research aimed to identify some of the existing financial frictions in the Iran's digital economy. In particular, based on cases taken from digital and knowledge-based companies, it empirically investigated the importance of the role of base volume in the liquidity of those companies' stocks in Tehran Stock Exchange.Method: To evaluate the empirical implications of applying the base volume in daily stock market practice, retrospectively a quantitative estimate of the base volume was implied by the economic model within the rules imposed by the market regulator via MATLAB software programming. Then, using the Generalized Method of Moments (GMM), the effects of the estimated base volume, percentage of free-floating share, securities turnover, and the ratio of transaction volume to base volume on Amihud index were econometrically studied for the selected companies during the period 2015-2020.Findings: The findings indicate that the applying base volume on the selected digital and knowledge-based companies has had a negative effect on the calculation of the final price and on the liquidity of studied knowledge-based companies. Also, the results of using the machine learning method (decision tree) showed a importance coefficient of 32.6% for the base volume on the Amihud index of the selected companies.Conclusion: Our results suggest that base volume as an idiosyncratic financial friction induced by Iranian stock market regulator has aggravated the illiquidity of studied digital and knowledge-based companies and thereby could have raised the financing costs for those companies. This would ultimately impede those companies’ growth prospect.