Roshd-e-Fanavari
Year:2021 | Volume:18 | Issue:71|Papers Count:7

the present study seeks to semantically reconstruct the various dimensions of the model / optimal model of technological entrepreneurship financing policy in the early stages of business creation using the combined approach and the exploratory goal of the field theory analysis method in the qualitative section and using the opinions of senior managers. And the professors specializing in this field have examined the existing concepts and interpretations from their point of view and in the quantitative part a questionnaire has been made using the main concepts extracted from the qualitative part in order to generalize and confirm the findings. In this research, first in order to identify financing methods and also the criteria for selecting the appropriate financing method, fuzzy Delphi method is used and then to determine priorities, hierarchical analysis is used and after determining these weights through TOPSIS method to prioritize the option. The issues raised were addressed. The results showed that among the methods of financing the formation of cooperative companies (0. 93), receiving facilities with weight (0. 87), issuing participation bonds with weight (0. 72), creating investment companies (0. 60), presence in the stock market (0. 33) ), Creating a plan as a shareholder (0. 22), and finally attracting foreign capital (0. 00001) had the highest and lowest priority among financing methods, respectively.

Online travel shopping has become attractive for researchers. In our country, online travel shopping is thriving and researchers try to recognize customers’,behavior in online context and factors that impact on their behavior. Companies and organizations recognize customers’,behavior and effecting factors to find their strength and weaknesses in marketing and find customers’,demands,this subsequently leads to customer loyalty and an increase in their profit. Previous researches largely concentrated on Davis’, s technology acceptance model, theory of reasoned action and theory of planned behavior. In this research by using technology acceptance model, 10 hypotheses were tested to analyze their impact on online travel purchase. In this descriptive –,survey research, a questionnaire consists of 35 questions distributed online. Validity of the questionnaire was confirmed by professors and experts’,comments and reliability was confirmed using Cronbach alpha. A sample of 250 were analyzed and the results indicate attitude, perceived usefulness, trust, and price have a meaningful relationship with online purchase intention. Secondly, perceived usefulness and trust have impact on attitude about online travel purchase. Separately perceived ease of use showed no significant relationship with attitude and online travel purchase. Results on perceived privacy suggest that it has a meaningful relationship with trust in online travel purchase, contrarily it has no significant impact on online travel purchase intention. .

With the advancement of technology in the present century and the increasing number of online stores, the question that occupies the minds of sellers and marketers is how in this competitive environment and what technology can be used to further influence consumers of goods and products. One of these new technologies that has the potential to inspire customer behavior is augmented reality. Augmented reality covers and integrates virtual information into the user's perception of the real world. Given the growing prospects of augmented reality technology in the global arena, companies are increasingly interested in using augmented reality in their advertising. This research provides more knowledge about the latent potentials of augmented reality technology in marketing. In this context, our argument is that the use of augmented reality technology in online store applications can lead to psychological and behavioral inspiration for customers to buy products. The statistical population of this research is the users of Digikala online store in the municipal office of Chahar district of Karaj with a sample size of 176 people and was evaluated with a questionnaire whose validity and reliability were confirmed. In order to analyze demographic data and extract central indicators, descriptive statistics and SPSS 24 software were used, and for analysis and analysis of inferential statistics, structural equation model and PLS2 Smart software were used. Findings indicate a positive and significant effect of the role of this technology on psychological and behavioral inspiration of customers

In the open innovation system, in addition to ideas within the organization, organizations can also benefit from ideas outside the organization. In this way, the boundaries between organizations and their external environments become more permeable, and if appropriate policies are developed for the development of open innovation, it will be possible to take advantage of the facilities of other organizations in an appropriate way. This research have been reviewed texts and articles and researches related to open innovation and policy issues in open innovation. Requirements for open innovation policy in Iran regarding open innovation policy in the field of research and technology development, open innovation policy In the field of networking and interactions of open innovation ecosystem, open innovation policy in the field of entrepreneurship, open innovation policy in the field of science, open innovation policy in co-creation in universities, open innovation policy in the field of labor market, Competitive Open Innovation Policy-Making Provides International Open Innovation Policy-Making.

Today, it is believed that the existing and central phenomenon of the post-industrial age or the information age is information and communication technologies. The high efficiency of such technologies has led to increasing tendencies to invest in this field and to place it within the framework of development plans and the emergence of knowledge-based development plans. Therefore, the present study aims to investigate information and communication technology on empowerment by considering social capital and self-efficacy. The statistical population of the study consists of 130 employees of Isfahan Steel Company during the period 1398 to 1399. Using Morgan table, a sample of 97 people was examined using a questionnaire and the data obtained using statistical software spss 25 and Smart pls were analyzed. The research is descriptive-correlational in terms of practical purpose and in terms of data collection. Data analysis algorithm by partial least squares method which includes: review of measurement models (Cronbach's alpha, hybrid reliability, convergent validity) and structural model fit (factor load coefficients, significance of path coefficients and determination coefficient, model prediction index, good fit), direction The four components of information and communication technology, social capital, self-efficacy and empowerment were evaluated. Fitting of both parts of the data algorithm with combined reliability values equal to 0. 894, 0. 881, 0. 864, 0. 821 and convergent validity equal to 0. 661, 0. 702, 0. 631 and 0. 689, respectively, also indicates the desirability and The acceptability of the latent structure was at the level of indicators and components, so the final model was able to properly express the relationships between the questions describing the variable. Also, the findings of this study showed that information and communication technology is effective on empowerment by considering social capital and self-efficacy in Isfahan Steel Company.

The purpose of this research is to identify and prioritize the criteria of knowledge management systems using BSC. The research method is descriptive-survey and the type of applied developmental research is Friedman and AHP ranking tracking method. Statistical population included all experts and top managers of Pars Khodro Company (157 people) and sample size was 111 people based on Cochran formula. Data were collected using a questionnaire designed by previous studies and expert opinions. Content validity index (CVR) was used to determine the validity of the questionnaire and Cranach’, s alpha coefficient of 0. 728 was used to determine its reliability. Data were analyzed using SPSS and EXPERT CHOICE statistical software. The results showed that: BSC's vision is financial, customer, growth and learning and internal processes respectively. From the financial point of view, the CEO's financial knowledge is the highest and avoidance of duplication of costs is the lowest, and from the customer's perspective, the highest priority is to improve the quality of customer service and the customer's least. And change in the system is the least important of the improvements, and lastly, the internal process view has the least degree of effectiveness of the system in achieving the most desirable organizational objectives and document size.

Given that Iran is on the path of development and older entrepreneurs have an increasing share in economic activities in developed countries, the category of elderly entrepreneurship can help accelerate the country's development. Therefore, the aim of this study was to identify the factors affecting aging entrepreneurship and model design with an interpretive structural approach. The present research is applied and based on the method, descriptive-correlation. The decision team consisted of 11 senior entrepreneurs and university professors. In the first step, the factors affecting elderly entrepreneurship were identified using in-depth interviews using data-based method, which includes 24 components in eight dimensions (personality traits, entrepreneurial skills, entrepreneurial competence, entrepreneurial motivation, entrepreneurial attitude, cognitive factors, human networks and behavioral characteristics. Are entrepreneurs). In the second step, interpretive structural modeling with Excel software was used to present the model. The results showed that the elderly entrepreneurship model has four levels: human networks in the first level, dimensions (entrepreneurial skills, entrepreneurial competence, entrepreneurial motivation, entrepreneurial attitude and cognitive factors) in the second level, entrepreneurial behavioral characteristics in the third level and personality traits in the fourth level. Are located. Therefore, it can be said that the foundation of aging entrepreneurship is personality traits. Also, MICMAC analysis showed that the dimensions (1-8) are in the independent cluster and the dimension (7) is in the dependent cluster and the dimensions (2-3-4-5-6) are in the link cluster. Findings Research reflects aging entrepreneurship as a process of seizing opportunities by combining resources by human factors in order to create new values.