Data science, intelligence and future analysis
Mohammad Amin Yalpanian; Iman Raeesi Vanani; Mohammad Taghi Taghavifard
Abstract
The ever-increasing development of digital technologies has brought about significant changes in business performance. The increase in the number of published articles on this topic also shows the special attention of researchers in information systems, business management, and innovation. While digital ...
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The ever-increasing development of digital technologies has brought about significant changes in business performance. The increase in the number of published articles on this topic also shows the special attention of researchers in information systems, business management, and innovation. While digital changes are inevitable in the digital age, previous research has been limited to a specific domain. This research aims to identify key themes and macro topics through a systematic review of 201 articles from 2018 to 2023 through two high-quality databases (Scopus and Web of Science). First, using thematic analysis, the main themes are identified, and their relationships are investigated from the perspective of digital technology development. In the next step, by using topic modeling (Latent Dirichlet Allocation), the major domains of the impact of these technologies will be investigated, and future research trends will be identified using the scientometric approach. The innovation of this research is designing a thematic network through in-depth text review and text mining analysis, which leads to a better understanding of the relationships between critical components. In the last step, recommendations are given to researchers and managers to conduct future research.
Abbas Moayya; Ali Otarkhani; Ali Rezaeian; Bahman Hajipour
Abstract
Business Model Innovation (BMI) is an innovation process which is associated with radical change (i.e., designed, novel, nontrivial changes) in the configuration of an existing BM, aimed at building and maintaining competitive advantages. One of the important subjects regarding this concept is the drivers ...
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Business Model Innovation (BMI) is an innovation process which is associated with radical change (i.e., designed, novel, nontrivial changes) in the configuration of an existing BM, aimed at building and maintaining competitive advantages. One of the important subjects regarding this concept is the drivers of this level of innovation in businesses. However, despite the interest of many researchers in BMI in recent years, few articles have studied its antecedents directly and comprehensively, and most of existing articles are case studies. Therefore, in this study, an attempt has been made to integrate the antecedents reported in scattered case studies with the Meta-Synthesis method, and combining them with the Thematic Analysis method to provide a comprehensive list of Business Model Innovation drivers. For this purpose, after searching related articles in Scopus database and refining the results, 140 case studies reported in selected articles were analyzed. Extraction of instances of drivers, coding, searching for themes and naming them during the recursive steps of the content analysis method, led to identification of 10 main themes including 30 sub-themes. Eventually, the research report is presented along with the researcher's definition of all 10 main drivers and 30 sub-drivers.
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.
