The present study seeks to identify and prioritize the components and dimensions of e-commerce and categorize them as a comprehensive model by using the meta-synthesis method. In this research, total of 58 articles in the field of E-commerce was identified and examined in the first step. Latin articles were in the period of 1996 to 2017 and Persian articles were related to the period of 2001 to 2017. Finally, after three stages of the evaluation of articles, 29 articles remained. Then, based on the results of the meta-synthesis method and the use of open coding, three main fields and a number of subfields were found for the e-commerce variable. Also, at this stage, the initial data was also introduced in the form of a new subset and added to the comprehensive model by using the indexing, conceptualization and categorization method. The main fields of e-commerce included customer trust and satisfaction in e-commerce, the development and application of e-commerce and the success of e-commerce. Each of these main fields has a number of subfields. Suggestions are presented in accordance with the comprehensive model identified. The e-commerce model can be a good tool for decision making managers and decision-makers, and should be used as a basis for future research. Manuscript profile

This paper offered a procedure for ranking the entrepreneurial and innovative indicators using Multi Criteria Decision Making (MCDM), taking into account three individual,organizational and cultural dimensions simultaneously in decision making procedure. Henceforward, by using the Meta synthesis framework, the form of group classification of indicators from afinding’s combination was suggested and recognized. After that, the entrepreneurship and innovation specialists' sight were congregated based on Meta-analysis. Then, the indicators were arranged using Analytical Network Process (ANP) and the Decision-Making Trial and Assessment Laboratory (DEMATEL). The outcomes foundfrom Meta-analysis and MCDM methods were used as input and output data, respectively, to describe the methodology of evaluating and prioritizing entrepreneurial and innovative criteria in smart international companies. Manuscript profile

The present paper presented a methodology for prioritizing the innovative and entrepreneurial indicators using Multi Criteria Decision Making (MCDM) and Artificial Neural Networks (ANNs), taking into account three individual, organizational and cultural dimensions simultaneously in decision making procedure. This methodology has two main advantages: first, the speed of operation in the accounting process and its simplification, and the other is the high precision with the elimination of errors in the calculations. Hence, a combination of findings were considered and identified in the Meta synthesis framework in the form of group categorization of indicators. Then, the entrepreneurship and innovation experts' opinion were gathered based on Meta-analysis. Next, the indicators were prioritized using Analytical Network Process (ANP) and the Decision-Making Trial and Assessment Laboratory (DEMATEL). The results obtained from Meta-analysis and multi criteria decision making methods were used as input and output data, respectively, to create an Artificial Neural Network model. Finally, the Artificial Neural Network model was designed in the form of Multi-layer Perceptron (MLP) Neural Network. Manuscript profile

پژوهش حاضر به منظور پیاده‌سازی عملکرد و توانایی بازاریابی داخل بر پیامدهای سازمانی و شغلی در شرکت تولیدات صنایع توسعه دیجیتال (سهامی خاص)، با هدف شناسایی عوامل محیطی و موثر، نقاط قوت و ضعف داخلی سازمان می‌باشد. در این راستا از رویکردهای توصیفی-پیمایشی و مدل ساختاری-تفسیری برای تعیین استراتژی مدیریت بازاریابی سازمانی بهره گرفته شده که به سبب آن عوامل پیرامونی درگیر در سازمان شامل عوامل انگیزشی مادی، عوامل انگیزشی غیرمادی، عوامل محیطی، ابزار و تجهیزات متناسب کاری، دانش و تخصص پرسنل و مدیران، پشتیبانی و بهینه‌سازی، چشم‌انداز و آینده‌نگری سازمانی شناسایی گردیده است. این عوامل به عنوان ورودی مدل ISM در قالب ماتریس‌های خود تعاملی ساختاری، دستیابی‌ها تهیه شده و در برآورد نمودار قدرت نفوذ-وابستگی بکار گرفته شده است. نتایج مدل‌سازی نشان می‌دهد که عامل انگیزشی مادی (بلاترین سطح و عامل کلیدی) مهمترین تاثیر را در اولویت‌بندی نسبت به سایر عوامل شناسایی شده را به خود اختصاص داده است. Manuscript profile