نوع مقاله : مقاله پژوهشی
نویسندگان
1 کارشناسیارشد مدیریت فناوری اطلاعات، گرایش سیستمهای اطلاعاتی پیشرفته، دانشکده مدیریت و حسابداری، دانشگاه علامه طباطبائی، تهران، ایران
2 دانشیار، گروه فناوری اطلاعات و مدیریت عملیات، دانشکده مدیریت و حسابداری، دانشگاه علامه طباطبائی، تهران، ایران نویسنده مسئول : imanraeesi@atu.ac.ir
3 استاد گروه فناوری اطلاعات و مدیریت عملیات، دانشکده مدیریت و حسابداری، دانشگاه علامه طباطبائی، تهران، ایران
کلیدواژهها
عنوان مقاله English
نویسندگان English
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 realization of digital transformation leads to value creation for business by enhancing the accuracy of management decision-making, making profit through increasing sales and reducing operational and fixed costs, reducing the time of performing processes and responding to changes, and increasing efficiency, and productivity. On the other hand, it affects customer experience improvement of received services, which leads to long-term relationships between the parties, which is very important in today's competitive market in the digital age. The innovation of this research is to design the thematic network through an in-depth review of texts and text mining analysis, which leads to a better understanding of the relationships between main components. Thematic network analysis and the making of relationship with topic modeling concepts is as an artifact that recommendations are given to researchers and managers to conduct future research.
Introduction
In recent years, the industrial world has been transforming into a digital world at a remarkable speed, and extensive advances in digital technologies have accelerated the realization of this transformation in businesses (Schmitt, 2023). Moreover, the threefold increase in published research in this field also shows the interest of academics and industries (Müller et al., 2024).
The adoption of digital technologies, including AI, IoT, machine learning, digital twins, virtual reality, robotic process automation, digital platforms, social media, etc., creates digital capabilities and new opportunities for businesses to improve operations, structures, and procedures (Khalil et al., 2022). According to scientific research, 84% of digital transformation projects have failed or reached goals less than expected (Facchini et al., 2022). As a result, analyzing the impact of digital transformation technologies on business performance has become one of the main priorities in management and information systems research (Oduro et al., 2023). However, despite the importance of the topic and the attention of researchers in the last decade, no comprehensive research has been conducted in the mentioned field, and the research conducted has been limited to a specific field, which shows the need for a holistic framework (Kraus et al., 2022).
Research Question
RQ1: What are crucial themes related to the impact of the development of digital technologies that can be used in providing solutions for the realization of digital transformation on business performance improvement?
RQ2: What are the major topics related to the impact of digital technologies that indicate opportunities and valuable changes to realize digital transformation on business performance improvement?
Literature Review
Digital transformation as a radical change represents an emerging digital paradigm for businesses worldwide. It usually begins with developing a digital technology infrastructure and is considered one of the fundamental requirements for the modernization of businesses (AlNuaimi et al., 2022). Digital transformation technologies create an integrated approach to the entire value chain by simplifying, optimizing, automating, and accelerating existing processes. These technologies create, store, process, manage, and transmit data (Papagnanou et al., 2022). They allow businesses to monitor production operations, identify bottlenecks, analyze market trends, consider customer behavior, manage inventory, and predict future demand by analyzing data. Automating activities and providing real-time information leads to task acceleration in existing processes. Also, due to the development of knowledge management systems, information transfer between stakeholders to share knowledge provides the basis for collaborative learning. On the other hand, digital technologies affect how businesses interact with customers and move businesses towards cross-border (Sandberg et al., 2022).
Research Methodology
This research approach is design science, which has been the focus of researchers in information systems and management, especially information technology management. This research is considered qualitative due to its review of the current situation and the use of articles. Advanced keywords such as digital transformation approach, business performance, digital technologies, and business processes were searched to select the articles. 201 targeted articles were chosen after applying the criteria. After studying the different parts of the articles, a thematic network is drawn. Then, the abstract texts are prepared using text preprocessing techniques; this work aims to use text mining algorithms for future analysis. Topic modeling analyzes and determines existing relationships and extracts hidden patterns. The coherence score is used to ensure that the selected model is optimal. After analyzing the findings, the results are interpreted, and solutions are presented to increase the impact of digital transformation technologies on business performance.
Results
Through thematic analysis of the articles, 7 main themes (digital technology development, digitalization, collaborative learning, digital interaction, data-driven decision-making, digital transformation, and business performance improvement) are interpreted. This research uses MAXQDA software to identify significant themes and draw the theme network.
The development of digital transformation technology affects different business sectors, and digitalization leads to intelligent automation, process improvement, and human error reduction. It is also imperative to increase the knowledge level of employees through collaborative learning. In addition, developing digital communication technologies enhances digital interaction and increases online communication between businesses and their customers, suppliers, employees, and other stakeholders. Also, digitization, analytical tools, and monitoring systems lead to real-time data analysis, which realizes data-driven decision-making and effectively causes digital transformation. Digital transformation leads to business models, flexible hierarchical structures, strategy planning, digital ecosystem, promoting employees' digital skills, production and quality control, supply chain management, marketing, digital servitization, financial management, and research and development. As a result, the creation of digital capabilities leads to business performance. It effectively reduces the product life cycle, creates value for customers, earns profits, and reduces risk in changing market conditions.
Figure 1. Thematic Network
Topic modeling findings show the effects of digital transformation technology as an inevitable opportunity to develop intelligent systems and create value to improve decision-making and increase agility based on the analysis of online interactions between businesses, customers, and partners in digital platforms.
Conclusion and Future Research Directions
Considering this research approach, which is a review of retrospective articles, it is suggested that researchers move toward prospective research. This will help them identify potential challenges and opportunities that may arise and require further attention and research. In today's industries, where digital technologies are rapidly advancing and becoming more complex, prospective research can aid in finding the best solutions and strategies to tackle challenges. Focusing on emerging issues or those that may arise in the future can help develop knowledge and progress in this field.
Keywords: Digital Technology, Business Performance Improvement, Digital Transformation, Thematic Analysis, Advanced Text Analytics
کلیدواژهها English
References
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