Digital Transformation Strategy Research Articles

The cost of pollution in the digital era: Impediments of air pollution on enterprise digital transformation

The negative externalities of air pollution constrain the transformation of the real economy. Identifying the intrinsic association between air pollution and enterprise digital transformation (EDT) under the wave of the digital economy can help realize the synergistic promotion of green development and the digitalization process. The paper examines the impact of air pollution on EDT by matching the data of listed enterprises in Shanghai and Shenzhen, China, from 2010 to 2019 with city-level air pollution data. This paper uncovers the following findings: First, air pollution significantly hinders EDT. This finding remains robust after accounting for endogeneity, strategic disclosure in enterprise annual reports, and sample self-selection. Second, the effect of air pollution on EDT is asymmetric at the enterprise, industry, and regional levels. Specifically, air pollution exerts a more pronounced dampening effect on EDT in state-owned enterprises, heavily polluting industries, and low-marketization regions. Third, air pollution dampens EDT by increasing economic policy uncertainty external to the enterprise, reducing its internal talent reserve, and crowding out its digital investments. Fourth, augmenting the size of government subsidies, promoting digital infrastructure construction, and strengthening digital financial development are effective ways to mitigate air pollution's impediments to EDT. Fifth, in the face of severe air pollution, aggressive digital transformation strategies adopted by enterprises can alleviate financing constraints and enhance enterprise value. This paper effectively identifies the cost of pollution in the digital era from an EDT perspective, providing important policy insights for advancing EDT under air pollution.

Digital Revolution In Public Communication Management: A Review Of Opportunities And Challenges For Maluku Regional Police Public Relations In The Digital Era

The role of public communication management has undergone significant changes in the digital era, particularly within law enforcement institutions such as the Maluku Regional Police. This article aims to explore the opportunities and challenges associated with public communication management in the Maluku Regional Police. By employing qualitative research methods, including in-depth interviews, observations, and document studies as data collection techniques, this article identifies various opportunities and challenges emerging alongside the digital revolution. Through a synthesis of available literature, this review considers the potential benefits offered by digital platforms such as social media, online news portals, and mobile applications in strengthening transparent communication, community engagement, and building public trust. However, significant challenges are also evident. Issues such as misinformation, privacy concerns, and the necessity for swift responses to online crises are focal points of discussion. Additionally, this article highlights the challenges posed by the digital revolution within the Maluku Regional Police (POLDA Maluku), including aspects such as digital government readiness, availability of ICT infrastructure, leadership influence, as well as organizational culture, and work environment. In confronting these challenges, it is hoped that POLDA Maluku can expand accessibility and improve digital infrastructure, develop digital transformation strategies, and establish regulations to finance and support digital transformation. Thus, this article offers a holistic perspective on the opportunities and challenges faced in public communication management within the Maluku Regional Police amid the current digital era.

A Mechanistic Study of Enterprise Digital Intelligence Transformation, Innovation Resilience, and Firm Performance

Enterprise Digital Intelligence Transformation is based on the Digital Conversion of information and process service upgrading, further touching the enterprise’s core business, with the goal of building a new business model of Digital Intelligence Transformation at a higher level. Based on dynamic capability theory, this paper conducts an in-depth study on the mechanism of enterprise Digital Intelligence Transformation and firm performance. This paper selects manufacturing companies listed in China’s Shanghai and Shenzhen A-shares from 2013 to 2022 as the research sample, and analyzes and tests the sample data using empirical research methods in order to explore the actual impact of Digital Intelligence Transformation on firm performance, including the specific pathways of action and moderating effects. This study helps enterprises to positively face the megatrend of Digital Intelligence Transformation and upgrading and the challenges it brings, and to grasp the new opportunities in the digital era. This study finds that enterprises carry out digital empowerment transformation and development strategies, and implement information Digital Conversion, service upgrading, and Digital Intelligence Transformation to promote firm performance to different degrees. Enterprise innovation resilience has a mechanism effect between information digitalization conversion enterprise performance and process service upgrading enterprise performance. The higher the environmental uncertainty, the greater the positive contribution of information digitalization to firm performance. Digital Conversion is the base and service upgrading is the process. The current sample enterprises have limited years of data collection, and most of them have only carried out the strategic implementation of Digital Conversion or servitization, and have not reached the high-level stage of digital and intellectual transformation. Therefore, it is found that enterprise innovation resilience has not yet shown a significant role mechanism effect between digital–intelligent transformation and enterprise performance at present. And environmental uncertainty has not yet shown a significant moderating effect in the stage of Servitization Upgrading and digital–intelligent transformation. The marginal contributions of this paper are mainly reflected in the following: (1) This study introduces the dynamic capability theory to explore the role of Digital Intelligence Transformation (Digital Conversion + service upgrading) on enterprise performance. (2) This paper investigates the role of Digital Intelligence Transformation in influencing the performance of enterprises from the Digital Conversion and service upgrading phases, and enriches the relevant role and regulatory mechanisms. (3) This study provides new ideas and strategic suggestions on Digital Intelligence Transformation for enterprises with different factor intensities, at different stages of development, and in different regions.

Impact of Enterprise Digital Transformation on the Efficiency of Total Factor Energy Utilization

With the advent of the information age and the rapid progress of technology, it has become inevitable for enterprises to move towards digital transformation. Energy is one of the most vital material bases for national economic and social development, which plays a vital role in national economic growth. How to use energy efficiently has been the core factor to measure the sustainable development potential of an enterprise. Based on the data of listed companies in China, this paper empirically analyzes the impact of enterprise informatization on energy efficiency from different perspectives. Studies have shown that the degree of enterprise informatization has a direct relationship with its energy efficiency. At present, the overall informatization of enterprises in various regions of China is low. However, with the continuous popularization of digital technology and applications, it has a certain inhibitory effect on enterprise energy consumption, with the effect becoming more and more apparent. Especially during the digital transformation, the role of state-owned enterprises in promoting total factor energy consumption has been more significant. Therefore, from the perspective of digital transformation, it is of great significance to study the energy efficiency of state-owned enterprises. This research explores the significant differences in energy efficiency among various industries, and the adoption of digital transformation strategies will help narrow these differences and further promote energy efficiency improvement across the industry. In addition, through the analysis of typical cases, this topic reveals the main problems faced by enterprises in the process of digital transformation and their causes, which puts forward corresponding countermeasures and suggestions. This study can provide a solid theoretical basis for the positive role played by Chinese enterprises and related departments during the digital transformation.

The Principal-Agent Theoretical Ramifications on Digital Transformation of Ports in Emerging Economies

Background: Scholarly literature indicates a slow pace at which maritime ports fully embrace digital transformation (DT). The reasons to this are largely anecdotal and lack solid empirical grounding. This inhibits an overall understanding of DT’s tenets and the development of evidence-based policies and targeted actions. Methods: This study deployed a qualitative case study strategy to unpack the challenges of undertaking DT through the lens of principal-agent theory (PAT). Results: Analysis of data collected through 13 semi-structured interviews from a port’s value chain stakeholders revealed five thematic challenges that contradict successful implementation of DT. These included interagency constraints and system ownership tussles; system sabotage and prevalent corruption; prevalent human agency in port operations; cultural constraints; and political influence on port governance. Conclusions: To address these challenges, the study proposes a four-stage empirically grounded DT strategy framework that guides both practitioners and policymakers through DT endeavors. The framework includes: (1) the port’s value chain mapping, (2) stakeholder engagement, (3) resource mobilization, and (4) effective monitoring. For scholars, we provide an avenue for testing statistical significance of association and causality among the identified challenges.

Non-profit organisations in the digital age: A research agenda for supporting the development of a digital transformation strategy

Digital transformation (DT) research is moving to new frontiers of investigation, exploring the nexus between multi-scale and multi-level stimuli and effects. This article contributes to the literature examining how DT phenomena affect multiple and connected ecosystems among industries, governments, economies, and societies. Identifying DT outcomes in a given context includes considering the organisations’ unequal development and digital presence. Non-profit organisations (NPOs) are flagships of a unique organisational nature based on non-distributional constraints and the primacy of nonfinancial outcomes. Assuming DT as a process that could improve, transform, or change an entity’s property, this research examines which specific aspects link to DT outcomes in the context of NPOs, investigating preconditions, value-creation structures, and strategic development. The study performs a meta-synthesis by developing a taxonomy of 124 journal articles strictly discussing DT in NPOs to identify objects and characteristics describing the debate. Subsequently, it questions the validity of adopting insights resulting from other organisational forms to study and develop DT strategies for NPOs by comparing two frameworks. This study contributes to the current body of knowledge by suggesting a lens of analysis helpful in assessing the (DT) value-creation structures of NPOs, a research agenda outlining future directions, and recommendations intended to support NPOs’ policymakers and managers in undertaking DT projects.

Well-Candidate-Recognition Solution Offers Time Savings, Production Enhancement

_ This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 213329, “Data-Driven Well-Candidate-Recognition Solution: Case Study in a Digital Oil Field in Abu Dhabi,” by Erismar Rubio, SPE, Nagaraju Reddicharla, SPE, and Mayada Ali Sultan Ali, ADNOC, et al. The paper has not been peer reviewed. _ A well-candidate-recognition (WCR) data-analytics solution was developed to expedite the process of identifying unhealthy wells that may require rig or rigless interventions based on data integration, automation, and advanced data-driven models. The solution expedites the well-performance-review process to pinpoint candidates for stimulation, nitrogen lift, gas lift conversion, and water or gas shutoff, providing a flexible visualization platform to highlight hidden well-performance insight. Introduction Mature oil fields will face challenges in terms of increasing water cut, lack of pressure support, and the requirement of artificial lift. The critical concern is prioritization of remedial actions that are economically attractive with high returns and low risk. In the past, the asset was prioritizing the rig and rigless intervention candidates on a manual basis with no technical framework, mostly relying on engineers’ backgrounds and experience. Lack of understanding and failure to apply lessons learned from previous jobs were frequent outcomes because no single, comprehensive database or documentation existed that effectively captured well-intervention history. Every year, the operator requested a well-performance-review report for every reservoir containing hundreds of diagnostic plots that required massive manual updates, although the subject asset is a digital oil field fully instrumented with real-time data streaming. However, no tools were available to integrate periodic and nonperiodic required data. The complete paper addresses these challenges of integrating huge amounts of data and model frameworks and developing a systematic workflow to identify opportunities for production enhancement. Data-driven models, combined with the integration of static and dynamic data, enable proactive surveillance routines that allow engineers to focus on problematic wells and opportunity generation in a timely manner. Objective The WCR data-analytics solution was developed as part of the operator’s digital transformation strategy to streamline the process of improving diagnostics, identifying unhealthy wells, and reviewing value gain. The solution aims to help achieve the following objectives: - Facilitate well-performance review to pinpoint candidates for rig and rigless intervention - Provide a flexible visualization platform to highlight hidden well performance insight - Integration of real-time data and official databases - Create a collaborative environment for improved decision-making - Improve rigless success factor for the most-expensive activities - Optimize and prioritize the reservoir-monitoring plan (RMP)

Exploring the performance effects of digitalisation: a measurement tool based on the sustainability balanced scorecard framework

ABSTRACT Although recent research has confirmed the positive economic effects of digitalisation on firm performance, fewer investigations have addressed the potential non-economic effects of digitalisation on organisational performance, including sustainability performance. To address the inconclusive relationship between digitalisation and organisational sustainable performance the current research considers the mixed effects of digitalisation and proposes a practical tool for assessing those effects. An exploratory, qualitative study reveals several mixed effects of digitalisation across six performance perspectives: financial, customer, internal business processes, learning and growth, social, and environmental. The practical proposed ‘digimpact’ tool can evaluate these various impacts of digitalisation on sustainable organisational performance and thereby help managers design effective digital transformation strategies. The digimpact measurement tool also can be tested, confirmed, and revised in ongoing research to expand and improve its effectiveness.

Navigating the digital transformation journey: strategies for startup growth and innovation in the digital era

This study delves into the strategies for startup growth and innovation within the digital transformation journey, highlighting the imperative for startups to adapt and thrive in the digital era. Employing a systematic literature review and content analysis, the research scrutinizes peer-reviewed articles, industry reports, and case studies from 2013 to 2023 to unearth pivotal digital transformation strategies and their impact on startup success. The methodology ensures a comprehensive exploration of the digital landscape, focusing on the integration of digital technologies, the cultivation of a digital-first culture, and the navigation of regulatory landscapes. Key findings reveal that successful digital transformation for startups hinges on a multifaceted approach encompassing agile methodologies, digital literacy, customer-centric innovation, and proactive regulatory engagement. The study identifies emerging technologies, such as AI and blockchain, as critical enablers of innovation and operational efficiency, while emphasizing the significance of digital ecosystems and platform-based models for future growth. Finally, the research offers actionable recommendations for startups, including fostering innovation cultures, enhancing digital skills, engaging in ecosystem partnerships, and adopting customer-centric strategies. It also outlines future research directions, suggesting a focus on the impact of emerging technologies, digital transformation outside the tech sector, and longitudinal studies on startup success. This study contributes to the understanding of digital transformation strategies, providing a roadmap for startups aiming to navigate the complexities of the digital age and underscores the ongoing need for adaptive strategies in the face of rapid technological evolution.

Proposed Initiatives to Protect Small Businesses in Wales; the United Kingdom Due to Covid-19

In the wake of the COVID-19 pandemic, small businesses worldwide have faced unprecedented challenges. This study presents a detailed analysis of these challenges and explores the effectiveness of government interventions in supporting small business recovery. Utilizing a mix of quantitative research methods, including statistical analysis and a comprehensive literature review, the research focuses on the specific impacts of the pandemic on small business operations and finances. Key findings indicate that small businesses have suffered significant disruptions, primarily in supply chain management and customer engagement. The study evaluates various government initiatives, such as financial aid packages and regulatory relaxations, highlighting their role in mitigating the pandemic's adverse effects. Furthermore, it proposes a set of recommendations for both government and small businesses, emphasizing the need for tailored financial support, enhanced digital transformation strategies, and flexible operational adjustments. The research concludes that a collaborative approach between government and small businesses is essential for ensuring sustainable growth and recovery in the post-pandemic era. This study contributes to the existing body of knowledge by providing actionable insights and practical strategies for policymakers and business owners, aiming to bolster the resilience and long-term prosperity of small businesses, which are integral to the global economy.

The Development of Digital Competencies for Royal Thai Armed Forces Headquarters Lead to an Intelligent Headquarters

Purpose: The study aims to enhance digital competencies towards establishing an Intelligent Headquarters within the Royal Thai Armed Forces. Theoretical Framework: It leverages third-order confirmatory factor analysis based on the Rough set Delphi theory to evaluate digital competencies. Design/Methodology/Approach: A mixed-method approach is adopted, combining qualitative insights from 21 experts with quantitative data from 600 individuals, using EFA and CFA for analysis. Findings: A validated model highlights six primary and eighteen secondary factors crucial for digital competency, including Digital Literacy, Communication, Management, Analysis, Development Tools, and Performance. Implications: The model provides a strategic framework for officers to enhance digital competencies, essential for transitioning to an Intelligent Headquarters, offering implications for organizational development and digital transformation strategies.

Digital transformation for supply chain collaborative innovation and market performance

PurposeManufacturers increasingly resort to digital transformation to shape their competitiveness in the digital economy era, while supply chain (SC) collaborative innovation helps them cope with market uncertainties. However, whether and how digital transformation can facilitate SC collaborative innovation remain unclear. To address this gap, we aims to investigate the effects of digital transformation (strategy and capability) on SC collaborative (process and product) innovation and market performance.Design/methodology/approachWe use partial least squares-structural equation modelling (PLS-SEM) with a sample of 210 Chinese manufacturers to investigate the effects of digital transformation (strategy and capability) on SC collaborative (process and product) innovation and market performance.FindingsThe results show that digital strategy and capability positively impact SC collaborative process and product innovation, which enhances market performance. In addition, SC collaborative innovation mediates the relationship between digital transformation and market performance.Originality/valueThis study contributes to the literature by identifying how digital transformation drives SC collaborative innovation towards improving market performance and providing practical guidance for enterprises in promoting digital transformation and SC collaborative innovation.

Data-Driven Enterprise Architecture for Pharmaceutical R&D

This paper addresses the research gap in the realm of data-driven transformation by leveraging the Resource-Based View (RBV) theory and the dynamic capabilities concept to the contours of a data-driven enterprise. It confronts the limitations of conventional digital and data transformation programs, which often prioritize technological enhancements over crucial organizational and cultural shifts. Proposing a more holistic perspective, the Data-Driven Enterprise Architecture Framework (DDA) is introduced, emphasizing the domain decomposition and productization of an architecture, distributed ownership, and federated governance, while ensuring the continuous harmonization of data, application, and business architecture. A case study featuring a leading pharmaceutical company illustrates the practical implementation of the DDA framework as a pillar of their Digital Transformation Strategy. By integrating scalable and distributed data architecture into the overarching Enterprise Architecture landscape, the company has initiated their data-driven transformation journey, showcased through their initial and very early results. This research not only offers valuable insights for pharmaceutical organizations navigating the complexities of data-driven transformations, but also addresses a research gap in the field.

A Research on Digital Transformation Strategies of Retailing Industry: Based on the Case Analysis of Walmart and Amazon

A Research on Digital Transformation Strategies of Retailing Industry: Based on the Case Analysis of Walmart and Amazon

Transformasi Digital Humas Bandara Internasional Jenderal Ahmad Yani Semarang Melalui Instagram

Company public relations has a strategic role, especially in the context of communication and information distribution. This research will explore PT Angkasa Pura I's public relations strategy in utilizing Instagram as a digital transformation medium, with the hope of providing a deeper understanding of the company's efforts to communicate and disseminate information through social media. The purpose of this research is to describe PR strategies PT Angkasa Pura I General Ahmad Yani International Airport in disseminating information and communication in the era of digital transformation, especially through social media Instagram @semarangairport. This research uses a qualitative method with a descriptive approach. The theories used are Public Relations, Digital Transformation, Social Media and PESO. The results of this research show that the Public Relations of PT Angkasa Pura I General Ahmad Yani International Airport Semarang has implemented a digital transformation strategy through Instagram by applying the PESO theory (Paid, earned, shared, owned) in disseminating information and communicating with the public.

Digital Transformation and Innovation Strategies in Classification Societies

In recent years, classification societies have faced significant challenges as the shipping industry undergoes digital transformation. This shift has prompted the need for innovative strategies to adapt to the evolving landscape. However, some experts argue that the traditional practices and regulations of classification societies, developed over decades, provide a strong foundation for safety and reliability in the shipping industry. In response to the challenges posed by digital transformation, classification societies have recognized the importance of incorporating innovative strategies into their operations. This study aims to contribute to understanding The influence of the digital revolution on the trajectory of the future of classification societies and provide valuable insights for classification societies seeking to navigate the complexities of digital transformation and drive sustainable innovation in the maritime sector. This study will analyze existing research and literature to comprehend the consequences of digital transformation on classification societies' operations. This Study uses a systematic literature review to identify the critical digital transformation and innovation strategies employed by classification societies. The Data is taken from the Scopus Database and identifies several countries of origin for the publications, allowing for a comprehensive analysis of global perspectives on this topic. The result of this study will provide valuable insights into the digital transformation and innovation strategies that classification societies are adopting to address the challenges in the shipping industry. The finding implies that classification societies increasingly prioritize technological advancements and innovative approaches to ensure they remain relevant and effective in the digital era. The findings of this study will offer valuable insights for classification societies, industry stakeholders, and policymakers better to understand the implications of digital transformation and innovation strategies. Furthermore, the analysis will provide a robust foundation for future research and strategic decision-making in classification societies and the shipping industry.

DIRECTIONS FOR THE DEVELOPMENT OF THE INNOVATION POTENTIAL OF ENTERPRISES IN THE CONTEXT OF DIGITAL TRANSFORMATIONS

The article is aimed at reviewing and clarifying the theoretical and methodological aspects of forming the concept of "innovation potential of enterprise". To assess the state of development of the innovative potential of Ukrainian enterprises in the context of digital transformation. To substantiate the feasibility of using a digital transformation strategy to achieve the set goals in the current competitive environment. The level of development of the innovation potential of Ukrainian enterprises was measured over a number of years (2010-2021). Methodology. The article uses economic and abstract and logical research methods in combination with methods of analysis, synthesis and graphical representation. This made it possible to assess the level of development of the innovative potential of Ukrainian enterprises according to the main international rating and macroeconomic indicators. Results. The results of the assessment of the development of Ukraine's innovation potential revealed that the cost of implementing innovative developments in the country's GDP is decreasing every year. It was found that Ukrainian enterprises are slowly diversifying their production towards knowledge-intensive goods and services. This slow state of innovation is reflected in global indices, where Ukraine ranks among lower-middle-income countries. The main reason for this situation is the limited state policy in the field of innovation. It is established that at the state level, the development of innovation potential in the context of digital transformations is formed within the framework of scientific research and high-tech start-ups. Practical implications. In order to increase the innovation activity of enterprises and grow their innovation potential, it is advisable to change the values and guidelines of strategic management. In these conditions, the digital transformation strategy, which is considered as part of the overall communication strategy of the enterprise, becomes relevant for application. In the course of implementing the digital transformation strategy, effective communication interaction between the enterprise and its customers is ensured, and a qualitatively new model of communication processes management is formed and applied, taking into account digital technologies. Value/originality. Research on the development of innovation potential in Ukraine proves the need to use a digital transformation strategy as an effective modern tool for managing an enterprise in the context of digital transformation.

Advantages and disadvantages of digital reading: technical university students’ perspective

The article considers implementation of the state strategy for digital transformation of the Russian education, in particular, the integration of digital reading in the educational space of technical universities. It determines the ongoing scientific discussions about digitalization and its impact on such cognitive processes as perception, interpretation, and assimilation of information by university students. Reading is fundamental to learning and education. Therefore, it is relevant to analyze digital reading in the academic environment including its learning potential, as well as advantages and disadvantages. Although many domestic and foreign authors have written about digital reading, there is a lack of empirical studies analyzing the impact of modern technologies on readers’ perceptions of digital resources. Our article aims to fill this gap. The goal is to determine the technical university students’ attitudes towards digital reading, its advantages and disadvantages. We also identify methods for enhancing the use of digital reading in the university’s educational environment. Our pedagogical research employs such empirical methods as questionnaires, pedagogical observation, and interviews in the form of free frontal discussion. Quantitative and statistical analyses are used to process and interpret the obtained data. The novelty consists in digital reading as a new educational technology and the readers’ attitude towards it. The study involves 1st to 3rd year students from Bauman Moscow State Technical University (n = 222). The data obtained do not only identify the students’ assessments of the digital integration in the Russian higher education, but also outlines ways to optimize the use of digital technologies in the educational process. The study shows that the shift from traditional print media to digital reading has both advantages and disadvantages. It requires students to communicate with interactive multimodal texts on digital media, which can affect their cognitive, emotional, volitional, and physical development. This places special demands on the competence of university teachers.

Digital Transformation and Innovation and Business Ecosystems: A Bibliometric Analysis for Conceptual Insights and Collaborative Practices for Ecosystem Innovation

This research aims to provide an ecosystem-inspired approach to digital transformation (DT) for sustainable innovations by reviewing state-of-the-art research. Focusing on DT innovation pathways for Sustainable Development Goals (SDGs), a DT innovation roadmap incorporating various notions of ecosystems can thus be developed based on the findings in response to advancements in the “Helix” models of innovation and policy progress in green digital transformation.Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol, a bibliographic search was conducted in the Web of Science (WoS) database. A bibliometric analysis was then performed, leading to various science mapping outcomes. The research findings suggest practical DT innovation pathways for stakeholders aiming to achieve SDGs and a DT innovation roadmap to assist researchers in navigating the evolving innovation landscape.Since 2007, research output has experienced rapid growth, especially after 2018, with active contributions from countries such as China, Australia, England, and Italy, as well as affiliations such as Guangzhou Nanfang College, Curtin University, and Harvard University. The findings, including a performance overview, a set of clustering analyses of concepts and themes, the conceptual and intellectual structure, and an SDG identification table, provide the basis for the proposed Green Digital Transformation (GDT) innovation roadmap with DT innovation pathways.This research is the first to conduct a bibliometric analysis and science mapping of the DT literature focusing on innovation and business ecosystems. The proposed GDT innovation roadmap outlines the usefulness of the concept of “ecosystem innovation,” integrating the natural ecosystem, ecosystem services, ecosystem economy, business ecosystem, innovation ecosystem, and digital ecosystems, thereby calling for the eco-design of DT strategies that foster alignment and partnership across sectors and disciplines.

Driving Towards Digitalization and Industry 4.0 in the Coal Mining Sector

This research provides an in-depth analysis of the impact of digitalization on the coal mining sector, with a special focus on PT X. The study employs a combination of content analysis, narrative analysis, and business solution mapping to extract insights from interviews conducted with five key stakeholders at PT. X. The objective is to assess how technological advancements can elevate operational efficiency and competitiveness in the era of Industry 4.0, and to identify strategies for effectively reducing reliance on human resources in site monitoring, while ensuring employee satisfaction and smooth transition. Through the methodological triangulation of content and narrative analysis, the study distils crucial themes and perspectives from the interviews. It identifies that the integration of advanced technologies like IoT, data analytics, and automation is vital for enhancing operational efficiency and reducing operational downtime. The research highlights the importance of transitioning from manual to automated site monitoring, emphasizing the adoption of drones and automated systems to bolster operational accuracy and efficiency. A key finding of the study is the identification of potential obstacles in digital technology investment, such as cost, system integration challenges, and employee resistance to new technologies. The study suggests that overcoming these barriers requires effective communication strategies and comprehensive training programs for employees. Drawing on the successful digital transformation strategies of companies like Adaro, the research recommends that PT. X should adapt similar strategies, customized to its unique challenges and context. The study contributes valuable insights into the digital transformation process in the coal mining sector, offering practical recommendations for companies like PT. X navigating the complex landscape of Industry 4.0.