Digital Process Research Articles

The impact of entrepreneurial ecosystems on digital transformations: micro-level analysis

Purpose Entrepreneurial ecosystems (EEs) contribute to organisational success through enabling actors to restructure businesses, stimulating exchanges of resources as well as applications and improvements to technological approaches. Hence, the purpose of this paper is to study the impact of EE micro-level variables on digital transformations. Design/methodology/approach Based on data spanning 5,000 Portuguese firms, the authors selected a random sample of 300, including businesses in the industrial, retail and service sectors. The authors deployed the multiple linear regression statistical method to validate the hypotheses. Findings As a result, the authors may conclude the organisation and the micro-level actors of EEs, owners and their members of staff produce influences on digital transformation processes. Originality/value This study contributes to completing the gap in the literature regarding the shortage of quantitative empirical studies approaching micro-level EE variables from the perspective of their relationships with digital transformation processes.

Symbolic or Substantive? The Effects of the Digital Transformation Process on Environmental Disclosure

Symbolic or Substantive? The Effects of the Digital Transformation Process on Environmental Disclosure

The impact of applying digital process innovation to farm management on farmer welfare: A multiple case study

The impact of applying digital process innovation to farm management on farmer welfare: A multiple case study

FRAMEWORK FOR THE DEVELOPMENT OF DIGITAL STRATEGIES FOR INDUSTRIAL COMPANIES: PRINCIPLES, METHODS AND TOOLS

Strategic management and strategy as a tool for managing business development have become responses to the increasing instability of the external environment. With the advent and development of digital technologies, there has been another quantitative and qualitative leap in the growth of uncertainty in the operating conditions of industrial enterprises. In order to remain competitive, they have embarked on a digital transformation process, the success of which also largely depends on having a clear strategy for implementing the transformation. The requirements for such a strategy, and the methods and tools used to develop it, are in some respects very different from those used in traditional strategic management. This determines the research relevance in the field of determining the nature of the digital strategy of the industrial enterprise, methods and tools for its development. It is shown that a digital strategy is a strategy for business development in a digital environment and that the key problem in its development is the need to significantly increase flexibility while maintaining a certain stability. Analysis of trends in the area of adaptation and development of methods for strategy development in the digital environment was carried out. Four broad sets of methods for increasing strategic flexibility have been identified: based on scenario development, experimentation, the use of organisational and management mechanisms, and on the use of ecosystem capabilities. Taking into account the stages of digital transformation process of the industrial enterprise and the basic practices of adaptive management, a landscape of methods and tools for the formation of a digital strategy of a company has been built up, allowing to broaden the understanding and to make a reasonable choice of an instrumental and methodological base. The concept of a minimum viable strategy is highlighted as a promising direction for developing a flexible digital strategy for an enterprise. A tool for its development is proposed in the form of a one-page presentation (canvas) that logically combines the key components of a digital strategy, ensuring its flexibility and sustainability.

DLP 3D Printing of Levoglucosenone-Based Monomers: Exploiting Thiol-ene Chemistry for Bio-Based Polymeric Resins.

Additive manufacturing (AM) is a well-established technique that allows for the development of complex geometries and structures with multiple applications. While considered a more environmentally-friendly method than traditional manufacturing, a significant challenge lies in the availability and ease of synthesis of bio-based alternative resins. In our endeavor to valorize biomass, this work proposes the synthesis of new α,ω-dienes derived from cellulose-derived levoglucosenone (LGO). These dienes are not only straightforward to synthesize but also offer a tunable synthesis approach. Specifically, LGO is first converted into diol precursor, which is subsequently esterified using various carboxylic acids (in this case, 3-butenoic, and 4-pentenoic acids) through a straightforward chemical pathway. The resulting monomers were then employed in UV-activated thiol-ene chemistry for digital light process (DLP). A comprehensive study of the UV-curing process was carried out by Design of Experiment (DoE) to evaluate the influence of light intensity and photoinitiator to find the optimal curing conditions. Subsequently, a thorough thermo-mechanical characterization highlighted the influence of the chemical structure on material properties. 3D printing was performed, enabling the fabrication of complex and self-stain structures with remarkable accuracy and precision. Lastly, a chemical degradation study revealed the potential for end-of-use recycling of the bio-based thermosets.

Evasive attacks against autoencoder-based cyberattack detection systems in power systems

The digital transformation process of power systems towards smart grids is resulting in improved reliability, efficiency and situational awareness at the expense of increased cybersecurity vulnerabilities. Given the availability of large volumes of smart grid data, machine learning-based methods are considered an effective way to improve cybersecurity posture. Despite the unquestionable merits of machine learning approaches for cybersecurity enhancement, they represent a component of the cyberattack surface that is vulnerable, in particular, to adversarial attacks. In this paper, we examine the robustness of autoencoder-based cyberattack detection systems in smart grids to adversarial attacks. A novel iterative-based method is first proposed to craft adversarial attack samples. Then, it is demonstrated that an attacker with white-box access to the autoencoder-based cyberattack detection systems can successfully craft evasive samples using the proposed method. The results indicate that naive initial adversarial seeds cannot be employed to craft successful adversarial attacks shedding insight on the complexity of designing adversarial attacks against autoencoder-based cyberattack detection systems in smart grids.

Identifying consumer-based digital content marketing consumption motives: a qualitative study

PurposeThis study attempts to enrich the digital content marketing (DCM) literature by identifying consumer-based DCM consumption motives and the preferable content dissemination platforms and formats to fulfil these motives exclusively in the context of beauty brands.Design/methodology/approachThematic analysis has been used as the qualitative technique for the study. In-depth interviews in a semi-structured format were conducted with 30 consumers who were mandated to be active followers of at least one beauty content creator on digital/social media platforms. Utilising NVivo 11.0, transcripts were analysed.FindingsThe findings reveal seven consumer-based DCM consumption motives: authenticity, economic, exploration, functional, hedonic, suitability and purchase decision. Further, the findings also demonstrate the most preferred content dissemination platforms and formats, namely digital channels of content creators, customers' reviews and social media (Instagram and YouTube) to fulfil these motives.Research limitations/implicationsThe study advances the existing literature by exploring novel consumer-based DCM consumption motives postulated as “antecedents to digital content marketing”. Moreover, it also enriches practical knowledge as the efficient and effective application of the research findings can prove fruitful to beauty brands employing DCM as the primary marketing tool.Originality/valueThis study makes a distinctive contribution by promoting work on unexplored areas of digital content marketing. It proposes content strategies for beauty brands and digital content creators to augment the digital content creation, dissemination and evaluation process. Furthermore, it also outlines the research topics that future scholars can focus on to advance the DCM literature.

Research on the Evaluation System of Digital Management Process Improvement of Automobile Transaction Business Based on CMMI

With the rapid development of information technology, enterprise digitalization, and Internet + application, the digitalization and improvement of the used car trading business and its management process improvement are facing many challenges. This paper attempts to use the CMMI process improvement model to analyze the factors affecting the digital construction, business process optimization, and digital management process improvement of the used car market through research on the digital management process and the related theories of CMMI, such as talent training, application of information technology, immature business development, irregular business process, and industry policy restriction. The FAHP analysis method is used to establish a comparison matrix to explore the construction of an evaluation system model for the improvement of the digital management process of the used car trading market based on the CMMI model.

Future Challenges of Implementing Innovative Business Model in the Automotive Industry

Abstract The innovative business model is implemented today in all industries. In the automotive industry, this model appears as a valid source of guidance in smart manufacturing, but also in the sales process, throughout the functional lifetime of a car. Using digital business processes opens new opportunities for innovation, from simple automation implementations to a fully automated assembly of a production line or a digitized sales flow. Specific objectives of this paper are based on the research of specialized literature regarding the implementation of business processes and the preparation of the environment for Industrial Revolution 6.0, by integrating innovations with major implementation challenges in the business model. The purpose of this study is to identify if there is research on innovative business models or innovative processes in specialized literature. Research questions are related to the terms associated with innovation such as an innovative business model, industrial revolutions, digital ecosystems, smart factories, or digital business processes. The research was carried out with the help of bibliometric analysis of scientific articles in Web of Science. Articles were analyzed in the VOSviewer application by identifying several clusters on key concepts. Innovative business studies in the automotive industry is a model that led to the creation of links maps between articles on the same topic, keywords, authors, in the last five years. Connections between the concepts and processes used to implement the innovative business model, in different stages of the industrial revolution development are highlighted in this research.

Inkjet-printed low temperature co-fired ceramics: process development for customized LTCC

This paper investigates the utilization of digital printing technologies for the fabrication of low temperature co-fired ceramics (LTCC). LTCC offer great opportunities for applications such as antennas, sensors or actuators due to their outstanding properties like low dielectric loss, low permittivity, low coefficient of thermal expansion and at the same time high reliability in harsh environments (heat, humidity, and radiation). LTCC are multilayer circuits that are typically functionalized by screen-printing. This publication investigates the replacement of screen-printing by digital printing processes, such as inkjet and Aerosol Jet printing, to facilitate a more resource-friendly and customizable manufacturing of LTCC. The use of digital printing technologies not only streamlines small-scale productions and development processes but also offers the advantage of achieving miniaturization down to single-digit microns. In this publication, digital printing processes, filling of vias, lamination processes, co-firing at 850 °C and printing on fired LTCC were investigated. Three layers of nanoparticle silver ink were printed on green LTCC tape and 100% of the embedded printed structures were conductive after co-firing. Filling of vias with inkjet printing was investigated and the most important process parameters were found to be the clustering of vias, the amount of active nozzles and the substrate temperature. Printing on fired LTCC demonstrated high precision, and sintering at 600 °C achieved strong adhesion of printed structures to LTCC. These successful findings culminate in presenting a process chain for fully maskless structured, multilayer LTCC.

Digital dimension of human capital development

Methods. When conducting the research, the following methods were used: scientific generalization – when determining the essence of the categories «digitalization», «digital economy», «human capital»; analysis and synthesis – when clarifying trends and forms of development of digitalization processes; logical analysis – when establishing the correlation between indicators of the development of the digital economy and human capital. Results. The article analyzes theoretical approaches to defining the concepts of «digitalization» and «digital economy». The importance of digital transformation processes in modern society is emphasized, in particular as a transition to new ways of working and thinking with the use of digital, social, mobile and new technologies. The main digital systems of the digitized environment are characterized. It is emphasized that the functioning of the digital economy based on digital systems is due to, firstly, the presence of a special infrastructure formed with the help of hardware, software, telecommunications, and secondly, specific business models that function based on the use of computer networks within virtual interactions and, thirdly, electronic commerce, through which trade operations are implemented within the global Internet network. The essence of human capital, its types and conditions of formation are analyzed. The existing approaches to the evaluation of human capital are considered, the need to take into account aspects of information technology ownership when measuring its level of development is emphasized. The indicators of the development of the digital economy and human capital were considered, a direct correlation between them was established. Novelty. Correspondence between the indicators of the development of human capital and the digital economy has been established. Practical value. The results of the study can be used in the process of assessing the level of development of national human capital.

Progress Tracker Breast Cancer Registry: A Breast Cancer Canada initiative.

e23018 Background: Significant gaps exist in the collection of real-world evidence and validated patient-reported outcome measures (PROMs) data from individuals with breast cancer. Variations in treatment and surveillance care across regional jurisdictions present knowledge gaps across diverse populations which remain difficult to study. The PROgress Tracker Breast Cancer Registry, a large, prospective Canadian PROMs cohort study aims to identify care gaps through the lived patient experience to inform patient-centered care and new research directions. Methods: PROgress Tracker is a real-world, longitudinal, non-interventional PROMs registry directed by Breast Cancer Canada, a registered non-profit patient-led organization, and data managed by University of Calgary’s POET program. Launched in October 2023, this registry aims to enroll up to 50,000 adult Canadian participants with a histologic diagnosis of in-situ or invasive breast cancer (stage 0 through IV) within 10 years. A volunteer-led peer-to-peer support model, based in regional and provincial hubs across Canada, facilitates participant recruitment, engagement, and retention. Individuals who self-identify for study inclusion provide informed consent, demographic and socioeconomic profile, and clinical information on their breast cancer diagnosis. Every three months (and up to 10 years) a bilingual digital platform to reduce barriers to access is used to provide all PROgress Tracker participants 8 validated PROMs to capture evolving measures of self-efficacy for wellbeing, symptoms and overall global functioning. Based on treatment, up to 10 additional PROMs to assess the immediate adverse effects and long-term impacts of treatment are collected. PROgress Tracker has the additional capacity to link to external ethics-approved studies to investigate clinical outcome and healthcare utilization metrics for participants consenting to additional studies. Results: In progress. Conclusions: PROgress Tracker represents Canada’s first national PROMs breast cancer registry. Its unique design and implementation by a patient-led research organization helps fill gaps in current knowledge through longitudinal follow up of patients prior to, during, and after cancer care, and from the time from diagnosis through active treatment, long-term survivorship, and/or palliative care. The PROgress Tracker Registry will comprehensively gather the validated real-world data information rarely collected in in the traditional clinical or trial-based research setting using a novel self-enroll design and digital process. Such information is crucial to support evidence-based decision making to inform patient-centered healthcare change. This allows comparison across Canadian jurisdictions, is scalable to other jurisdictions around the world and further explores the utility of electronic PROMs data capture within a diverse patient population.

BIM-enabled built-asset information management conceptual framework: A case of public university buildings in Addis Ababa, Ethiopia

The integration of BIM with other digital advancements has demonstrably led to an increase of performance in the Architecture, Engineering, Construction and Operation (AECO) industry. This integration not only is showing promising results in boosting the industry's performance, but also the productivity and promotes data-driven decision-making. Despite these benefits, there are limited studies that address the integration of BIM and digital data for managing built-assets in general and in developing countries in particular. To fill this gap, a closer assessment of current built-asset information management practice is necessary. The assessment of the practice examines how digital processes and/or technology can be seamlessly integrated into existing practices. In this regard, this study aims to provide valuable insights into increasing the maturity of built-asset information management by integrating digital data with BIM. The study uses a case-based research design using built-assets (universities in Addis Ababa) as public building representative to capture the prevailing information management practices in Ethiopian public buildings. The findings reveal that traditional paper-based practices still dominate the management of built-assets. This leads to difficulties in terms of data loss, unavailability, inaccuracy, and unreliability, all of which are detrimental to the overall performance. Based on these findings, a conceptual framework is designed to improve the performance of built-assets and help owners, end-users, and managers in defining data and information requirements for BIM-enabled asset information management. The framework delineates processes for structured information requirements definition and validation of various asset data from varying sources. The framework utilizes a BIM-enabled platform as a single source of truth and offers a comprehensive solution to the identified challenges. The findings of this study holds significant promise for improving the existing practice of built-asset information management within the study context.

Relevance of the digitalization process in the development of domestic enterprises in the context of socio-economic instability

Methods. During the research, the following methods were used: systemic approach – when studying the process of digital transformation of the economy and its consequences for the functioning of enterprises; analysis and synthesis – when determining the advantages and challenges of introducing digital technologies into the economic activity of domestic enterprises; structural and functional analysis – when distinguishing the components of the cycle of information processes in CRM. Results. The cycle of information processes in CRM is considered and analyzed, covering the concepts on which the management activities of enterprises are based, including the collection, storage and analysis of information about consumers, suppliers, partners and information about relationships with them. Digitalization processes have been shown to provide tools to organize, automate and synchronize all aspects of customer interaction, including marketing, sales, customer service and support, and more. The main components of Big Data based on the use of big data analysis are defined and it is shown that it can significantly contribute to the development of enterprises in various industries. Businesses generate massive amounts of data from a variety of sources, including transactions, social media and sensors. Analysis of this data allows you to identify hidden patterns and trends, quickly react to changes and make operational decisions. Novelty. The article highlights the advantages and identifies the challenges of the digitization process. The key aspects of the implementation of ERP systems have been determined, which allows for the integration of various aspects of the company's activities, providing more accurate planning, control and analysis. This helps to optimize the use of resources and increase productivity, which is critically important in conditions of instability, when it is necessary to use the available resources as efficiently as possible. Practical value. It was determined that digital transformation significantly affects various aspects of enterprise activity, improving business processes, management models, communication with clients and consumers, as well as interaction with suppliers. The implementation of digital technologies contributes to increasing the efficiency, flexibility and competitiveness of enterprises, which are key success factors in today's dynamic market environment.

The Role of Digital Technology and Artificial Intelligence in Enhancing Education: Reviewing Challenges and Opportunities in the Digital Transformation Era

Digitization and artificial intelligence have a significant impact on the quality of education, representing a pivotal topic in the current educational landscape. The emergence of digital transformation brings about fundamental changes in the educational field, with the traditional way of knowledge acquisition evolving into sophisticated digital methods, where prominent e-learning takes its place. Our research focuses on understanding the role of virtual electronic platforms and their impact on education, attempting to explore the challenges and opportunities presented by digital transformation. Additionally, the article addresses the concept of e-learning and its role in enhancing and developing the educational process. Furthermore, this research analyzes the impact of digitization on the quality of education and how educational environments are transformed into advanced educational sites. Moreover, the article discusses the challenges facing the digital transformation process and how to improve educational outcomes overall. The article emphasizes the importance of adopting digital technologies to enhance education and achieve more effective and efficient results in modern education through the adoption of artificial intelligence.

The role of IT capabilities and managerial support in advancing digital transformation and internal audit: a literature review

Abstract This literature review focuses on concepts related to the role of information technology (IT) capabilities and managerial support in the context of advancing digital transformation and improving internal audit in the institutional environment. Through the synthesis of relevant academic sources, it is investigated how IT capacities and strategic management support influence the organizational ability to adapt to digital innovations. Special emphasis is placed on the complex dynamics that shape the interactions between these factors and their impact on institutional responsibility and performance. The results of the literature review illustrate the key mechanisms that support the digital transformation process, including the integration of technological systems, the development of digital competencies, and the role of management in providing resources and support. Further, a deeper understanding of the complexity of these interactions serves as a basis for further research in the field of digital transformation management and internal audit in an institutional context.

Validity of digital analysis versus manual analysis on orthodontic casts

As artificial intelligence within digital processes continues to advance and replace conventional manual workflows, it is crucial that digital data are consistent with analog data. The aim was to evaluate the validity and time efficiency of digital cast analysis on digital models in comparison with the manual, gold standard, cast analysis on plaster models. Cast analysis was performed on 30 patients in three various methods: manually measured variables on plaster models (MP), manually measured variables on digital three-dimensional models (MD), and automatically measured variables on digital three-dimensional models (AD) on digital models. Digital cast analysis was performed in CS Model+. Analyses included metrical and categorical variables and the required work time. Measurements in MD and AD were validated to MP. Validity of the metrical variables was analyzed with Bland-Altman, Dahlberg's formula, and paired sample t test. Categorical variables were validated by Cohen's Kappa. Work time was analyzed with Wilcoxon signed-rank test. Metrical variables had measurement errors ranging 0.4 to 1.4 mm between MP-MD, and 0.6 to 3.2 mm between MP-AD. Observations of categorical variables had a moderate to strong (0.65 to 0.9) level of agreement between MP-MD, and a weak to moderate (0.4 to 0.68) level of agreement between MP-AD. Data for dental stage, vertical, and transversal relation was not provided in AD. Cast analysis was performed quicker digitally, P ≤ 0.05. Digital cast analysis is consistent with manual cast analysis for metrical variables. Analyses of categorical variables show a weak level of agreement with automatic digital analysis, such as space conditions and midline assessments. Digital cast analysis optimizes time compared with manual cast analysis, with automatic analysis being the fastest.

Assessing the Impact of Digitisation on Progress in Agriculture: A Bibliometric Analysis

Abstract The paper shows how the agri-sector is influenced by the emergence and development of the digitisation process. This is presented using a bibliometric analysis. The importance of studying and understanding the current challenges facing the agricultural sector including the emergence and development of the digitisation process of the sector is the main aim of this paper. All these challenges are felt by both the agricultural sector and the economy as a whole. This paper contributes to the literature. This is due to the bibliometric analysis through which the most important aspects of the challenges facing the entire agricultural sector today are observed. Among the current challenges facing the agricultural sector, climate change is among the most important. The results of the bibliometric analysis show that the keywords searched and their clustering confirm that the emergence and rapid development of digitisation brings both positive and negative effects to the whole agricultural sector. Following the search of Web of Science and Scopus databases, 203 papers were identified in Web of Science and Scopus using the phrase "the impact of digitization on agriculture". The bilbiometric analysis comprises several steps, including the analysis of the years of emergence of studies on the emergence of the digitisation process in agriculture. Thus, within this stage, the analysis of the years, it is signalled the transition from some aspects that concern the technological side to other economic and even human aspects. On the whole, there is a shift in research topics towards studying how the emergence and development of the digitisation process brings both positive and negative influences between the agricultural sector and society.

Emerging Trends and Future Directions in Artificial Intelligence for Museums: A Comprehensive Bibliometric Analysis Based on Scopus (1983-2024)

Abstract Artificial Intelligence is changing the future of museums, opening the door to unprecedented innovations that are revolutionising the way collections are managed and experiences are designed. This bibliometric analysis, covering four decades of research (1983-2024) from the Scopus database, explores how Artificial Intelligence is transforming museum activities — from creating personalised visitor experiences to preserving cultural treasures through advanced digitisation processes. The study shows that the number of publications on Artificial Intelligence has increased dramatically in recent years, reflecting the growing momentum in the field. The integration of AI in museums demands careful reflection on its implications for human rights, cultural values, and social responsibility. As AI adoption accelerates, addressing ethical concerns—such as potential biases, transparency, and accountability—has become increasingly vital. Institutions are encouraged to develop robust ethical frameworks that mitigate these risks, ensuring AI does not reinforce inequalities or distort cultural representation. By embracing AI responsibly, museums can not only enhance visitor engagement and streamline operations but also uphold their commitment to inclusivity, safeguarding their role as stewards of knowledge, culture, and education.

The Banker of the Future: Characteristics and Trends

Abstract In the age of technological advancement and ever-changing consumer expectations, banking is undergoing a major metamorphosis. New technologies are mostly related to the digitization of banking activities. As the digitization process deepens, banks will be required to be more agile, to accelerate innovative activity and to focus more on the customer. The basis of these transformations is the labor force employed in the banking sector. The process of implementing new information technologies required new specialties for employees of banking institutions. This article examines the essential roles and skill sets of the future in banking. Likewise, modern trends in the digitalization of banking were examined. To perfect this article, the futurological visions of banking experts placed in open access were examined. The purpose of this publication is to present the basic trends of the professional transformation of the banking worker and the banking industry in general in the horizon up to the year 2030.