mohammadreza kabaranzad ghadim

The Internet platform is a very powerful source of information that can be collected with the help of various tools and techniques and used after analysis in order to make better and more efficient decisions. According to previous researchers, when it comes to automatically extracting information from the web, Selenium is always the best option, however, this library has many challenges. One of the challenges of using the Selenium library is its asynchronous and the other is the slowness of the Selenium library, which we are trying to investigate and improve in this article.

Research Question(s):

 How to improve the challenge of slowness and asynchronous of the Selenium library?

Literature Review:

Selenium library, which is one of the best web scripting tools, has been used in different studies and with different purposes. This library is a free, open-source automated testing framework used to verify web applications across multiple platforms and browsers. Various programming languages ​​such as Java, C#, and Python can be used to create Selenium test scripts (Teotia et al., 2023). But despite its many advantages, selenium also has disadvantages, including: 1. Slowness, 2. Brittleness, 3. Flakiness, 4. Maintainability, 5. Asynchronous, 6. Time-consuming, 7. Cross-browser, 8. failure analysis, 9. Infrastructure, 10. Scalability, 11. Assertability, 12. Documentation and 13. Support (Leotta et al., 2023).

The first thing we examined in the Selenium library is the lack of time management. Time management actually refers to the fact that the waiting time for downloading information from the web platform in this library is not known. To solve the problem of slowness andasynchronous of the Selenium library, we have used a solution that includes three different steps:Step 1) According to the manual checks, first we define the variable t1:t1 = 0.5 where t1 is the value used in the sleep function (time required to open the main page in normal mode).Step 2) We use the while loop and try, except inside it. If the page does not open after 3 seconds, or after 6 attempts with different sleep times, the desired page and products do not appear, the error of the site not being available or the internet being slow will be printed:t1 = 0.5 try:while t1 <= 3:try:driver.get("""The Study site""") # to open the page time.sleep(t1) # Waiting for the page to open # Code related to page scrolling time.sleep(t1) # Waiting for information to be displayed after scrolling # Information collection codes except:t1 += 0.5 Except:print('The internet speed is very slow or the intended site is down')In this code, the program with time t1=0.5 first tries to display the page information in full and if it fails, it adds half a second to t1 and this repetition continues up to 6 times. If the page is displayed in full, we use the new value of t1 for the next pages.Step 3) If the page opens, we will enter the third step, which is related to collecting the basic information of the products and we must avoid the problem of asynchronous.At this stage, according to the existence of five different types of information (such as product name, price, amount of discount, price after discount, type of discount) of each product, we first define five different and empty lists for product information.Then, with the help of commands related to information collection, we take the information about each product and put it in the corresponding list. Then we run the following script to prevent wrong items in the list: check1 =  [[product_prices], [product_off], [product _prices2], [Product_off_type] ]for j in range(0,4):if len(product_name) < check1[len[j]]:  product_name.append(‘error’)elif len(product_name) > check1[len[j]]:check[j].append(‘error’) In other words, after taking the information of a product and adding them to the predefined main lists, the program calculates the number of items in the existing lists with the help of the len function and puts them in the checklist. Then, with the help of the for loop, the length of each list is compared with the rest of the lists, and if the number of items in a list is low, the word "error" is added to it.

In order to evaluate the solutions presented in this research, we have reviewed the information related to supplementary drugs on the DigiKala site, which was almost 3000 different medicines, 13 times on 13 different dates, from September 23, 2023, to March 15, 2024. In this study, the codes written in order to retrieve information from the mentioned site were executed the first time with the proposed solution and the second time without the proposed solution, and in each execution, both the time of information retrieval and the number of information related to each list or the same column was recorded and compared with each other, and the error rate and its percentage were calculated based on the difference in the time of information collection in the first and second execution and the difference in the number of information collected for each column in the first and second execution. After the implementation and use of the proposed solution, the investigations show that the accuracy and correctness of the collected information have increased compared to not using the proposed solution, and the time of information collection has also improved.

In this article, we studied and evaluated the challenges of being slow, time-consuming and asymmetric of the Selenium library. Our studies were conducted using the Python programming language. Studies show that it is very important to use the solution of checking the list and the same length of the list at the end of the collection of each product from the web platform, so that not using it in 12 out of 13 cases of information collection from the web platform makes us encountered an error. Also, using a constant value for the sleep function significantly increases the time to retrieve information compared to using a variable value for it. In general, the findings show that the use of the proposed solution when using the Selenium library in order to extract information from the web platform helps to increase the accuracy of the information and also improves the time of complete information retrieval from the web platform.

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.

This research is organized with the aim of designing a dynamic model to evaluate the effectiveness of social capital in the insurance industry using the method of content analysis, which in terms of purpose is practical and in terms of the method of collecting information, it is a part of qualitative research. The statistical population consists of insurance industry experts and managers of Iran's social security insurance branches in Tehran. For sampling in this research, the purposeful sampling method, which is non-probability sampling, was used. In addition, after collecting the information, the codes related to the written interviews were analyzed using thematic analysis method. The credibility of the research was obtained through the agreement of experts and validity with the help of consensus of opinions and face validity. Qualitative data analysis in this study was done with thematic analysis method. ATLAS TI software was used for qualitative content analysis. Also, by examining the data obtained from the text, 1 overarching theme, 5 organizing themes, and 21 basic themes were extracted. The results showed that all the themes identified from Expert opinions are relevant and there is favorable consensus about their importance.

Physically disabled people prefer entrepreneurship to working for other individuals and organizations; so that the rate of entrepreneurship among them is higher than healthy people. Entrepreneurship brings personal, social, financial and, most importantly, permanent employment benefits to people with disabilities. This study aimed to investigate the success factors of e-entrepreneurship from the perspective of entrepreneurs with physical disabilities . This research is an applied study that has been done in a descriptive-survey manner. The statistical population of this study was all entrepreneurs with physical disabilities in Markazi province. The number of them was 50 based on the obtained statistics and they were selected by counting method and a self-administered questionnaire consisting of 9 dimensions and 29 questions was distributed among them. Partial least squares technique using Smart PLS software was used to test the hypotheses. According to the results obtained from the view of entrepreneurs with physical disabilities in Markazi province, flexible organizational structure, social value, participatory management, personal motivation, personal skills, business knowledge and physical conditions of successful e-commerce establishment are . The proposed model can make the best use of the potential and actual capacity of the elements proposed in the e-entrepreneurship system for the physically disabled.

Today, partially due to the current crisis and the high rate of youth unemployment, the labor market is increasingly returning to the issue of entrepreneurship education; Therefore, academic education is facing new challenges that include preparing students to enter the labor market. Although entrepreneurship education has been integrated into new university academic degrees as a result, it is not enough to strengthen entrepreneurship among students and there is a need to develop the level of entrepreneurship of students. Therefore, universities are one of the most important centers for teaching entrepreneurial skills and encouraging students towards entrepreneurial attitudes. This article has focused on the design of an effective entrepreneurial attitude model on the entrepreneurial intention of students with an emphasis on entrepreneurship education. This research is applied in terms of purpose and qualitative in terms of method. The qualitative research community consists of 10 university professors and experts. To analyze the qualitative data, the qualitative method of theme analysis and MAXQDA software were used. The qualitative findings of the research showed that the level of entrepreneurship was placed in 5 main themes and 15 strategic components were obtained in the field of entrepreneurship. The components are creativity with 3 components (idea generation ability, experience acquisition, knowledge acquisition), innovation with 4 components (absorption and development of new technologies, innovative manpower, market knowledge and analysis, competitiveness), self-esteem with 3 components (self-knowledge, self-belief, improving psychological characteristics), risk-taking with 3 components (uncertainty conditions, risk-taking strategic measures, financial support) and perceived behavior control with 2 components (perceived internal behavior control, perceived external behavior control) and is aimed at creating an entrepreneurial attitude in morale students. Risk taking should be emphasized in them. Finally, according to the conceptual model presented in this research, an Interpretive Structural Modelling was performed in the leveling of the components.

Banks, as the main sources of liquidity for manufacturing and service enterprises, have a very important role in the economic growth and development of a country. In addition, the existence of competitive markets increases the importance of this issue. One way to gain competitive advantage, is internationalization, which many banks around the world have taken this step. The internationalization of banks is not a new phenomenon. Throughout the history of banking, internationalization has always been tied to banking. Today, banking services have become so diverse that many banks prefer to remove the old banking terms from their advertising programs and emphasize on the more prominent role of financial services firms _innovative, dynamic and customer-oriented service . The purpose of this article is to explain the factors affecting the internationalization of banks. The method of this research is theme analysis. In this regard, the study of theoretical literature has been used as a source of research. In order to complete and confirm the obtained themes, interviews with experts and then a comparative study have been conducted. Finally, 12 categories and 59 themes were extracted from the studied sources.

This article identifies the main factors and components of the university's ability. In this study, after extracting the indicators of the entrepreneurial university and the interdisciplinary factors that create these indicators, the prioritization and weight of each of them have been measured to provide a model for measuring the ability of higher education institutions to become an entrepreneurial university. The extraction of this new knowledge has been done by using the opinions of interdisciplinary experts. In terms of data collection, it is a kind of descriptive research. The online questionnaires were distributed and the answers were collected and the answers were collected after extensive review of theoretical foundations and identification of the main factors and components in universities across the country and in different universities. The obtained results show that twelve internal and external factors are effective in creating and strengthening sixty-nine indicators necessary to become an entrepreneurial university. 28.04% of this model is related to structural indexing factors, 65.97% to content indexing factors and only 5.98% of the factors are related to contextual indicators. The proposed strategy of this article is to pay attention to the content indicators in the first place and in the second place to pay attention to the structural indicators in higher education institutions to become an entrepreneurial university. In this strategy, 68.20% of the factors affecting the readiness of the higher education institution to its internal factors and the impact of external factors is less than one third (31.80%).

Businesses are the heart of every economic and social system. However, some of them are faces with failure due to the lack of a proper business model or having an inappropriate one. For designing a business model or innovating it, different elements should be taken into account. Not only considering these elements is crucial, but also their role in the system and detecting the interrelations between them are of outmost importance. With this regard, the aim of this article is investigating the possible effects and impacts of each element on others in a Business Model and categorizing them based on their importance and their net contribution in the selected model. For this purpose, Decision Making Trial and Evaluation Laboratory (DEMATEL) method is hired. The business model investigated in this article is the one introduced by krumeich and consisted of 20elements. Although all the elements are interdependent, based on the findings of this research, Resource Model is the most effectual component as well as being the most important element in the system. Furthermore, Cost Model is the highest impact receiver due to the highest amount of impacts receives from other elements. The results of this research are depicted in the form of tables and graphs.

To investigate the effect of organizational culture dimensions on the development of knowledge management in ACECR as a necessity in research-based organizations.

The present study is a quantitative one with an applied purpose and in terms of descriptive-correlational data collection. Its statistical population consisted of middle and basic managers of ACECR and based on Morgan table, a sample of 148 people were selected by non-random-purpose sampling method. Data collection tool was a questionnaire and its analysis was performed using multivariate structural equation modeling method using SPSS and AMOS software.

Each dimension of organizational culture in ACECR research-oriented organization has a direct and high relationship with the development of knowledge management. The effect of adaptation dimension with the development of knowledge management is more than other dimensions.

Considering that the factor load is a positive value, there is a direct, significant and positive relationship between the dimensions of organizational culture (involvement in work, adaptation, adaptability and mission) and the development of knowledge management. Therefore, by further supporting and developing the dimensions of organizational culture and creating infrastructure in ACECR, better implementation of knowledge management development can be achieved.

This research aims to design an integrated model for digital marketing based on marketing intelligence and validate the model in the ISACO Company. The research uses a mixed-methods descriptive survey design. In the qualitative phase, the model and nine theoretical hypotheses were proposed using grounded theory and a semi-structured questionnaire. Fourteen academic experts and managers in the area of marketing and sales were interviewed until theoretical saturation was achieved. Then, the model and proposed hypotheses were validated using the quantitative method of structural equation modeling. A questionnaire rated by the Likert scale was distributed among 340 active employees in the relevant areas to the research topic with at least a Bachelor’s degree chosen by the convenience sampling method in the ISACO Company and affiliated companies. The structural model and hypotheses related to causal factors, core category, contextual factors, strategies, and consequences (except the moderating role of environmental factors) were validated by the research findings.

The aim of this article is to investigate the effective factors and consequences of explaining the role of social capital in the success of international entrepreneurship. Statistical population of qualitative section: academic and organizational experts (managers of Tehran Chamber of Commerce) and quantitative section: all members of Tehran Chamber of Commerce.The sample size of the qualitative part with theoretical saturation (20 people) and quantitative according to Cochran's formula is 335 people. Sample selection of qualitative part of purposive sampling and quantitative partial stratified random sampling. Data collection tools, qualitative, interview and quantitative sections, researcher-made questionnaire based on a 5-item scale. The validity of the questionnaire was confirmed in terms of form and content by several experts, the validity was confirmed by calculating the angles, and the validity was confirmed by calculating the square root of the AVE. Reliability through Cronbach's alpha for the whole questionnaire was 0.86. For data analysis, Cronbach's alpha tests, orthodontics (AVE), AVE root matrix, Kolmogorov-Smirnov and confirmatory factor analysis using Lisrel software. The results identified 7 influential components: social prosperity, social solidarity, social cohesion, social acceptance, social participation, trust in the organization, networking and 3 influential dimensions: international activity, international competitiveness and economic growth.

System thinking is a holistic approach that has been considered by many thinkers in the field of organization and management in recent decades. This thinking helps managers look at an organization as a whole and manage its components in relation to each other. In addition to this thinking, another important issue is the wisdom in organizations. Wisdom, which is a changeable dynamic, is an important factor in creating and increasing competitive advantage in organizations. Therefore, its advancement, management and strengthen are very important for organizations. However, by reviewing, evaluating and measuring the wisdom of each department in the organization at a specific time, it is not possible to properly review, manage and strengthen the wisdom of the entire organization, because it ignores the synergy and even eliminates it, so that not it only does not help to create a competitive advantage, but also may cause many problems such as data loss, and lack of proper use of people's knowledge and information at the right time for the organization. Therefore, in this article, system thinking, organizational wisdom and then the role of system thinking in the creation and management of wise organizations and why system thinking or holistic thinking is needed to strengthen wisdom in the whole organization? are examined.

Throughout the history of banking, internationalization has always been tied to banking. In recent years, Iran's banking system has faced a variety of limitations and challenges, including economic sanctions, the FATF, and Iran's failure to accession the WTO. On the other hand, there is intense competition in the banking sector. In order to maintain their superiority in line with international developments, banks must create value and satisfying the needs of their customers. For this purpose, banks can enter international markets through innovation and entrepreneurship, and thus take a step towards internationalization. This can be achieved through entrepreneurial strategies. The purpose of this article is to explain the impact of entrepreneurial strategy on the internationalization of banks. The method of this research is confirmatory factor analysis. In this regard, the study of theoretical literature and questions from experts has been used as a source of research. Finally, the relationship between the main components was confirmed and it was found that entrepreneurial strategies and removal of international barriers and restrictions, have a positive and significant effect on the internationalization strategies of banks. However, only three strategies: “accelerating Internationalization”, “moderate internationalization” and “Established Internationalization” were identified as effective strategies, and the effect of the two internationalization strategies: “Imploding Internationalization” and “Retreating Internationalization” on internationalization was not confirmed.

This study has presented the local model of knowledge management in research-oriented organizations and the need for its implementation in such organizations.

The present study is an exploratory mix in terms of applied purpose and data collection, and a cross-sectional survey in terms of nature and type. In the qualitative section, 31 ACECR experts were selected, and in the quantitative section, 100 people were selected as the sample of ACECR managers and elites. Interview data collection tool, questionnaire, and data collected were analyzed by SPSS software. Content analysis and confirmatory factor analysis using software (EQS) were used to analyze the data.

Finally, data analysis showed that this indigenous model has eight key dimensions with 55 vital components and infrastructural dimensions of culture, structure and technology. The relationship between dimensions, components and infrastructures is designed and presented in the form of a conceptual model and a matrix.

Most research-based organizations in Iran do not have a coherent model in the field of knowledge management or have several problems in its implementation. Providing an indigenous model appropriate to the culture and structure of Iran can lead these organizations to develop and achieve a competitive advantage through the systematic management of intellectual assets. Therefore, by creating the necessary infrastructure in the field of information technology, culture and modification of processes and organizational structure, knowledge management can be implemented in research-based organizations.

In recent years, information and communication technology has come to the aid of entrepreneurship and a new debate called digital entrepreneurship has emerged. The purpose of this study is to present a conceptual model of digital entrepreneurship development in small and medium knowledge based companies.  After reviewing literature and interviewing with 17 experts in universities and organizations digital entrepreneurship developmental factors were presented that were 147 codes. Using content analysis and focus group methods, these codes were grouped into 29 based content and 7 organizer contents. In the next step, using interpretative structural modeling method, the modeling of the basic themes and the organizing content created and the final model of digital entrepreneurship development in SME knowledge-based companies has been made in three level of contextual, structural and content factors. The results showed that the contextual factors with the most impact and structural factors with the most impressionability, have an important role in the development of digital entrepreneurship in SME knowledge-based companies.

Digital entrepreneurship is a new way of doing business that paves the way for economic development in developing countries, and the need for its development has accelerated in line with the prevalence of Covid-19. On the other hand, the development of digital entrepreneurial businesses in Iran is relatively slow and so far a comprehensive study has not examined the dimensions of the development of such businesses. Therefore, the purpose of this study is to identify and analyze the dimensions of digital entrepreneurship development in small and medium-sized knowledge-based firms and develop a model for it. In this research, first, by literature review and semi-structured interviews, 147 codes related to digital entrepreneurship development have been identified. Then the codes have been classified into 29 basic themes and 7 organizing themes through qualitative content analysis and the themes are classified into three levels (contextual, structural, and content) using interpretive structural modeling. Finally, the proposed model has been confirmed by confirmatory factor analysis in structural equation modeling. According to the research findings, among the 7 effective factors in the development of digital entrepreneurship, structural and contextual factors are the most influential and impressionable factors, respectively, and therefore have a key role in the development of digital entrepreneurship in small and medium-sized knowledge-based firms.

In today economy, knowledge-based companies have distinguished position and play a key role as the engine of technology-based economic growth in leading societies. These businesses are prone to looking beyond national borders because of their potential for competitive advantage due to their unique knowledge, Therefore, it is necessary to strengthen their presence in the international business market.In addition, the national law of supporting the development of knowledge-based products, has emphasized the implementation of export development program and internationalization of knowledge-based companies. Therefore, in this exploratory mixed research, in the first step, the findings of previous studies on effective variables for identifying international entrepreneurial opportunities were listed. In the next step, with in-depth interviews with experts and content analysis, using MaxQDA software, dimensions, key categories and components were identified, updated and localized. Based on the findings of the qualitative stage, the key influential categories are: personality traits and individual capabilities of the entrepreneur, environmental factors of the country of origin and destination, and the capabilities of the entrepreneurial firm whose validity was confirmed by the Delphi-fuzzy method. In the final stage, the levels of key categories and the relationships between them were determined and introduced by interpretive structural modeling (ISM).

The main purpose of this paper is to investigate the effect of using the Blue Ocean strategy on commercialization of production while using innovative production and systematic innovative production in Kaleh Amol Company. The research method is correlational. 89 experts of Kaleh Amol Dairy Products Company were selected as a statistical sample based on simple random sampling method using Karajsi and Morgan table. To collect data, there are four standard questionnaires, including the Kim and Maboren Blue Ocean Strategy (with a validity of 0.91), the David and North Production Commercialization Questionnaire (with a validity of 0.89), the Yadollahi Farsi Innovative Production Questionnaire, and Kalati (with validity). 0.87) and the Questionnaire for Systematic Innovative Production of David and North (0.96) were used. The research findings show that the use of the Blue Ocean strategy has a positive effect on the commercialization of innovative production and production, but the effect of using the Blue Ocean strategy on systematic innovative production has not been confirmed. It has also been shown that innovative production has a positive effect on systematic innovative production and systematic innovative production on commercialization of production.

This research has been conducted in the field of entrepreneurship studies in resistive economics with the aim of identifying and prioritizing the components of resistive economics for entrepreneurship. This study is applied and methodologically mixed. In the qualitative phase, the data collection tools were qualitative and in-depth interviews with experts. The statistical population consisted of Entrepreneurship Experts and Resistance Economics with a sample size of 25 individuals, selected through purposive sampling to reach the theoretical saturation point. The findings were analyzed using the basic data theory approach with the classical approach. In the quantitative phase, the data collection tool was a researcher-made questionnaire and the statistical sample of the study was 384 entrepreneurs and economic activists of Iran. Data analysis was performed using structural equation modeling and SPSS and Smart PLS softwares. The results showed that the components of Resistance Economics for Entrepreneurship in this economy include five priority components: 1. Entrepreneurial economy with 0.834 impact intensity, 2. Knowledge economy with 0.789 impact intensity, 3. Extraversion with intensity Impact 0.758, 4. Active private sector with impact intensity 0.749, 5. Endogeny with an impact intensity of 0.736%. This research, while contributing to the development of entrepreneurial literature in the resisting economy, can be useful and applicable to the country's scientific, executive and entrepreneurial community and provide significant guidance and implications for macroeconomic policymakers and entrepreneurs for entrepreneurship in the resistive economy.

Entrepreneurship is the creative destruction and process of value creation and the foundation for the growth and excellence of human society. This research has been conducted in the field of entrepreneurship studies in resistive economics with the aim of identifying and prioritizing the value creation components for entrepreneurship in resistive economics.

it is practical and in terms of method, is mixed. In the qualitative stage; the data collection tool was a qualitative and profound interview with experts. The statistical population consisted of experts in entrepreneurship and resistance economics with a sample size of 25 people with a purposeful sampling method to reach the theoretical saturation point. The analysis of the findings was done by the methodology of the Grounded theory with the classical approach (glaser). In the quantitative stage, the data gathering tool was a researcher-made questionnaire. The sample was 384 entrepreneurs and economic activists of the country. Data analysis was performed using structural equation modeling and SPSS and Smart PLS software.

The results showed that the four components of value creation for entrepreneurship in the resistive economy include four components in order of priority: 1. Creating a new business (new business) with an impact of 0.895, 2. Creating wealth (generating wealth) with an impact of 0.894, 3. Developing businesses (business survival, business expansion) with intensity Impact 0.892, 4. New achievement (innovative technology, new product) with an impact intensity of 0.865.

The ultimate goal of entrepreneurship in a resisting economy is to create value.