Soraya Bakhtiari bastaki,; Peyman Ghafari ashtiani,; Ali Hamidizadeh,; Rasoul Sanavi Fard,
Abstract
he present research aimed at developing a model for perceived social media advertising deception. To attain the aim, the interpretive structural modeling approach was employed. The research sample included all of the lecturers and experts of social media marketing and advertisement field selected by ...
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he present research aimed at developing a model for perceived social media advertising deception. To attain the aim, the interpretive structural modeling approach was employed. The research sample included all of the lecturers and experts of social media marketing and advertisement field selected by the purposeful sampling method. Eventually, eight lecturers and experts of social media marketing and advertisement answered the considered questions. The selected experts had at least ten years of experience in studying, teaching, or working in the field of social media. The sampling continued up to the theoretical saturation point. To determine the reliability of the measurement instrument, the ICC value was confirmed in terms of its consistency and absolute agreement. The research results indicated that in relation to the research subject and the proposed model for perceived social media advertising deception, social media advertising attributes had the strongest effect, while the perceived usefulness, customer knowledge, perceived trust, customer attitude, customer attributes, and media attributes were mostly affected by and their own effects were trivial. In addition, the results revealed that the primary factor in the research i.e. social media advertising attributes, was among the influential or driving variables due to its high directional power and low dependency. Other factors were described with high directional power and high dependency. The variables were non-static and so classified as the hybrid variables.
Seyyed Ali Akbari Hashem; Hasan Alvedari; Mohammad Reza Daraei; Rohollah Razini
Abstract
Organizational Dashboard is a tool full of rich indicators, reports, and graphs that dynamically acts to help managers to control the performance of their organization at any time. For data productivity, using Business Intelligence(BI) logic is inevitable. BI is a system in which different, dispersed ...
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Organizational Dashboard is a tool full of rich indicators, reports, and graphs that dynamically acts to help managers to control the performance of their organization at any time. For data productivity, using Business Intelligence(BI) logic is inevitable. BI is a system in which different, dispersed and heterogeneous data of an organization is integrated and through the establishment of analytical database for managers to make decisions. This study is a developmental and practical research. After reviewing literature and interviewing with 38 experts in universities and organizations, organizational dashboard developmental factors with the business intelligence logic were presented that were 357 codes. Using content analysis and focus group methods, these codes were grouped into 24 based content and 7 organizer contents. In the next step, in two distinct stages, using interpretative structural modeling method, the modeling of the basic themes and the organizing content separately and considering the consistency of the two models, their integration and creation of the final model of evaluation of the development of organizational dashboard with the logic of business intelligence has been made. This can be a precise roadmap for organizations to design and implement this system.
