مجله مدیریت کسب و کار
پیاپی 61 (بهار 1403)

AbstractIntellectual property (IP) is one of the factors influencing the attraction of foreign direct investment (FDI). Even though previous research has focused extensively on the relationship between FDI attraction and intellectual property, the categories of technology transfer, governments' legal protection, and membership in international conventions have received less attention. Therefore, the present study seeks to explain how IP and legal protections contribute to FDI attraction, focusing on technology transfer. This study included 1236 managers and macro-planning experts in the statistical population. According to Krejcie and Morgan's table, 213 individuals were included in the study. A simple random sampling method was used to select respondents. A questionnaire was used for data collection. Data analysis was conducted using the exploratory factor analysis (EFA) technique. It was found that IP plays a multidimensional role in FDI attraction. According to the findings, IP facilitates the attraction of FDI through technology transfer. Furthermore, the results indicate that adopting international laws and agreements (e.g., membership in conventions) plays a significant role in attracting FDI.Keywords: foreign direct investment, FDI, intellectual property, IP, technology transfer

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.

Considering that knowing the systematic and irregular tendency of customers to consume in the world is one of the important and fundamental conditions for boosting the business environment and achieving the development of companies; The purpose of this research is to develop and explain the dimensions of persuasive messages in the context of social media marketing on the customers purchase intention. This research is applied in terms of purpose, from the point of view of the research method, it is a mixture of qualitative and quantitative methods. In the qualitative part of the research, according to the experts of the consumer goods market, it was used to design the initial framework of the research, and then in the quantitative part, in the quantitative part, in the field and based on the questionnaire obtained from the qualitative part of the customers and consumers of the survey was carried out. The statistical population of this research is all the customers of food stores in Tehran, and its sample is 302 customers who, at the time of data collection, intended to suddenly buy food from the store. The data collection tool is a questionnaire and Smart PLS software was used for data analysis.

The present analysis was done with the aim of presenting the integrated marketing mix model of Behran Oil Company with emphasis on the behavior of the industrial customer of IMM. This research is applied-developmental in terms of its purpose, and in terms of its nature and form of implementation, it is an exploratory study with a mixed approach. The statistical sample in the qualitative part of the research includes 15 senior managers of Behran Oil Company and in the quantitative part it includes 253 employees of this company. For data collection, a semi-structured interview was used in the qualitative part and a questionnaire including 24 dimensions and 75 questions was used in the quantitative part. In the qualitative part of the research, database theory has been used to identify the components of the industrial marketing mix model. In this way, six categories of factors were identified along with the relevant subcategories, which are: causal conditions (customer orientation, strengthening the CRM system, and developing strategies to promote the company's brand), contextual conditions (technology, global markets, and competitive environment), intervening conditions (state customers, perceived risk and customer characteristics),

This research was done with the aim of evaluating the model of resistance businesses in order to develop service industries. The research is mixed (qualitative and quantitative) in terms of practical purpose, in terms of exploratory approach, and in terms of data analysis method.In the qualitative phase of the research, a group of service industry experts were selected and in-depth interviews were conducted with them.In this phase, the purposeful sampling method was used and continued until theoretical saturation was reached and a total of 15 interviews were conducted.In the quantitative phase, managers of service industries were considered as the population and among them, 240 people were selected as a statistical sample based on stratified random sampling and proportional distribution.In the qualitative phase of the research, the data collection tool was unstructured interviews with experts. The main tool for data collection, in the quantitative phase of the research, was a questionnaire made up of 94 items, which was designed based on the initial conceptual model. The results of the present research led to the design of a process model for evaluating the model of resistance businesses in order to develop service industries.

The purpose of this study is to design a quality risk management model in the supply chain of the automotive industry. This research was conducted with a mixed approach. In the qualitative part, Delphi method was used to identify effective factors and derive a conceptual model. In the quantitative part, hierarchical data analysis was used to prioritize the indicators. The statistical sample includes 16 academic and automotive industry experts who were selected by judgmental sampling and snowball sampling. The data collection tool includes a questionnaire According to the results of the Delphi, the 70 sub-indices finalized in the research are divided into 14 main branches and 3 main fields including quality risk based on: supply chain capabilities, different parts of the supply chain and work stages. After performing the process of hierarchical analysis of data at three levels, the first 14 indicators of the research, which obtained the most weights, were identified as the most important indicators.By identifying the types of quality risks during the process and supply chain in the automotive industry, this research helps the managers of the automotive industry in developing the correct strategies for risk management and quality management of the supply chain.

As a critical key point of development all over the world, investment has been an arguing issue for years, the importance of economical achievements has been reflected in different markets especially financial ones. In this study the effect of markets -capital, commodities and services - on Foreign Direct Investment (FDI) has been surveyed in all countries listed in Word Bank (WB). Considering statistical population, among the countries, membered in world bank, 10 developed and also 30 developing countries which had the most adequate data, were selected as sample . The 22-year data of these countries (since 2000 till 2021) were investigated for data analysis. Multivariable regression and panel data has been used for statistical hypothesis testing. Findings of this study showed that the capital market index had significant and direct effect on foreign direct investment in selected countries, meanwhile Gross National Production had significant and also negative effect on FDI.

Green marketing has paid the attention of organizations due to the increase in environmental concerns and the pressure of interested parties for an attractive strategy.The aim of this research is to identify the factors affecting green marketing in the hotel industry.The research method is qualitative.The statistical population of the research was 10 university and hotel experts.Data were collected through in-depth semi-structured interviews and literature review.Data analysis was done based on the grounded theory approach, which includes open, axial and selective coding. The validity of the questionnaire was measured and confirmed by experts and its reliability through Cronbach's alpha.Convergent validity of AVE is adequate for all research constructs.Finally,by communicating between the categories, the research paradigm model was presented,including 18 factors affecting green marketing and 69 concepts.The value of the Kappa coefficient is equal to 0.696, which indicates the validity of the agreement level of the model.The factor of green product (green hotel) was determined as the main phenomenon.The results of the research show the effect of green product,behavioral response of customers,ecological literacy,trust and green marketing mix on corporate image,motivation and improvement of hotel performance.Also,the category of trust was identified as an intervening factor and the most important factor affecting green marketing.

Tax is the transfer of a part of the profit of economic activities that belongs to the government. According to the existing restrictions, governments are trying to collect the maximum tax by identifying high-risk taxpayers according to the laws and regulations. Thus, the purpose of this research is to provide a comprehensive model for the taxable income of companies in the light of the theories of trust and information validity. The statistical population of the current study consists of auditors of the Tax Affairs Organization with at least 10 years of auditing experience, who have conducted 15 semi-structured interviews in 1400 and 1401 using the theme analysis method. To extract the components, the qualitative method of theme analysis was used, and to extract the model, as well as to determine the weight of the components, one of the methods of the multi-criteria decision model (Shannon's entropy) was used. This comprehensive model can be a tool to realistically evaluate the declared taxable income of companies in terms of the effectiveness of the desired factors, audit factors, technical and systemic factors, environmental factors, company specific factors and financial and accounting factors.