شناسایی عوامل موثر در ایجاد فرصت‌های کارآفرینی در بخش گردشگری نواحی روستایی با استفاده از مدل معادلات ساختاری(SME)

Extended abstract
1- Introduction
One of the most well-known strategies for rural development, tourism and related opportunities are in the field of entrepreneurship. Identification of opportunity is one of the key factors in the survival and development Villages Like’s cities are full of new and undetected opportunities that not discover and exploit these opportunities and creating new businesses and competitiveness basis it cans be Significant economic benefits for the villagers. Dimensions in order to identify environmental, social and economic potential context in each area, are an important issue to be considered in any assessment that has significant effect on the success of planning. Therefore adopt a systematic approach to social issues, economic and environmental planning will be critical. In this alienated explaining the current situation of rural in terms of population, infrastructure attractions a presence of ranging from natural and artificial are of special importance. Scientific studies on a list of indicators of social, economic, environmental and ecological potential of entrepreneurship in the tourism sector in rural areas in line with the pillars of entrepreneurship development. Most, research efforts in this regard, it has been a significant impact on the creation of entrepreneurial opportunities in the tourism sector with the use of the else studies in this filed and also voting of specialists and experts through the Delphi technique method to provide rural tourism sector.

2 - Research Methodology
With regard to the subject goals the research method is descriptive and casual analysis foundation in the library studies and record subject to review study based on indicators related obtain relevant in the indicators of impact in creating of entrepreneurial opportunities in the tourism sector of the study and written document from Delphi technique was used in the area. The software then uses factor analysis and classification was reduced variable R factors obtain in this way since they were not homogeneous therefore confirmatory factor analysis was used and the structural equation model using the Lisrel software to measure and verify its validity was assessed and approved.

3 - Discussion
To obtain the effective indices in the creation of entrepreneurial opportunities in the tourism sector of the study this questionnaire was designed this work in which the question was posed with this title: What in your view the creation of entrepreneurial opportunities in the tourism sector are effective? Experts were asked their opinions freely the comments in the 2nd questionnaire after which the categories were summed and again for the professional consensus in this area was it should be noted that in the first stage 120 questionnaires form post e-mail (E-mail) and 40 questionnaires were manually placed at the disposal of specialists and experts from the 56 questionnaires were completed and expert and scholar of geography, tourism, entrepreneurship, management, economics, sociology, declared their own opinions.In the present study for the summary indices of R-type factor analysis with Principal component method is used 48 indicators used to 9 operating through varimax rotation has been reduced. So Eigenvalue greater than 1 and 9 so that the operating pebbles figure confirmed these nine factors. One of the main steps in factor analysis is the name given to the opinions of different experts are of There was some heterogeneity in the operating variables, so named factors was not possible to resolve the problem of structural equations was used This study examined variables in the six operating principles and the study was summarized by After developing a conceptual model for validation of structural equation models by entering data into the desired end, the model was examined Using indicators such as root mean square residual goodness of fit index, comparative fitness ... and fit was evaluated.
after identifying the variables they validate, the linear regression to determine the ci contribution of each of the factors influencing entrepreneurial opportunities were used to perform this operation, the coefficient Ci expert opinions through techniques Tapsis was calculated, then the coefficient indices to the numerical factor was obtained After this number was calculated for all factors, then all the factors together and total number of factors were obtained for all The calculated data were transferred to SPSS software, The total number of factors as the dependent variable and each of the socioeconomic factors, cultural, educational and ... Were considered as independent variables, And thereby share any of the factors identified in the creation of entrepreneurial opportunities. With regard to the statistics that Sig