Technology Management Research Articles

Unveiling the strategic impact of big data analytics capabilities in the Saudi Arabian banking sector: an explorative approach

Purpose The purpose of this study is to identify a critical pathway of the effect of big data analytics capabilities (BDACs) on strategic vigilance based on hierarchical process and a capability approach. Design/methodology/approach The researcher adopted a qualitative approach using interviews and a quantitative approach based on the interpretative structural modeling (ISM) fuzzy cross-impact matrix multiplication applied to classification (MICMAC) approach. A primary theoretical approach was also conducted to identify BDACs previously cited in the literature. Findings Four main subdivisions of BDACs were identified: management capabilities, infrastructure flexibility, talent capability and technology. Management capabilities followed by big data technical knowledge and associated with talent capabilities generate a flexible infrastructure to enhance SV. A dynamic capability perspective of knowledge and information is also required for SV. Research limitations/implications Despite the opportunity of this research and the originality of results, some limitations have to be mentioned and can constitute further directives for future researchers, such as the problem of result generalization. First, this research was based in Saudi Arabia, and a comparative approach to defining BDAC on an international level can be more beneficial in providing an exhaustive list of these capabilities. Second, reliability issues, in this research can be addressed due to the use of qualitative data collection which is considered by many researchers as unspecified and can lack scientific rigor. Future studies can improve the number of interviews during the data collection process and data process using an advanced methodological approach. Third, the effect of BDAC in SV according to the hierarchical final modal is not quantified, future work can use this research model to appreciate each effect using a quantitative approach such as correlation and structural equation modeling while considering respondents with different profiles to take into account different point of view in this concern. Practical implications This research enriches the BDAC and MICMAC literature and contributes to this aspect in three main levels. First, by providing an additional empirical asset in this field, this study offers by the way a new case to the big data literature on the banking sector. Based on the limited knowledge as well as results collected from different databases and rigorously analyzed, this subject was not treated previously and the author could not find similar studies with the same approach dealing with the key BDACs in Saudi Arabia. Social implications This research presents three main implications for policymakers and researchers interested in big data analytics (BDA) through a capability and strategic perspective. First, to attain SV, they should prioritize the development of interactive interfaces and open platforms as the primary step before collecting information and deconstructing it to guarantee the generation of knowledge and make decisions effectively. Second, policymakers must introduce organizational technologies in terms of technology management, technical knowledge and technology for decision-making. This requires simultaneous sharing and communication according to relational management. Third, the research conclusions have many critical managerial ramifications for banks in Saudi Arabia while considering the adoption of BDAC. The importance of BDACs (especially technical aspects) in shaping the decision-making to be strategically vigilant emphasizes policymakers’ orientation by paying close attention to these aspects and specific training programs to facilitate the use of such technologies and guarantee strong security measures. Moreover, findings support a balance between technical and functional BDAC. Originality/value The adoption of a knowledge-based dynamic capabilities (KBDCs) view to analyze the interaction between different BDACs in banks in Saudi Arabia to be strategically vigilant using a mixed approach.

Factors influencing the digital intelligence transformation of offshore wind power enterprise

China's offshore wind power industry is advancing toward a digital transformation, and its development is considered a crucial strategic pillar of China's energy structure transformation. Facing challenges such as high costs, technical difficulties, lack of industry standards, insufficient industrial economies of scale, and even ecological threats, China's offshore wind power industry in the new period urgently requires innovative paths for further development. Driven by policy guidance and market demand, many enterprises have embarked on digital upgrading by introducing digital technology into their business processes, thus achieving a more efficient and intelligent production management mode to enhance industry competitiveness. However, due to the inherent peculiarities of the offshore wind power industry, its implementation of digital technology faces certain technical difficulties and systemic risks. This study presents a case study of Mingyang Smart Energy and related organizations conducted using in-depth interviews, and focuses on the practical circumstances of China's offshore wind power industry undergoing digital transformation. This study also applies the grounded theory to analyze the driving factors and mechanisms of digital transformation and provides an in-depth discussion of the characteristics of different stages of the transformation, including digital technology function leap, management and platform construction, as well as digital operation and value creation. The study results can enrich the theoretical study of digital transformation and provide practical guidance for the offshore wind power industry to achieve intelligent, efficient, and sustainable development.

Technological development and eco-efficiency: Drivers of total factor productivity in OECD countries

This study delves into the total factor productivity growth in OECD countries, focusing on the crucial role of technological advancement and environmental management. By utilizing the Malmquist-Luenberger index, the paper encompasses both positive and negative outputs, such as pollution, providing a comprehensive productivity analysis by breaking it down into efficiency and technical change. Data from 36 OECD countries from 2000 to 2021 were examined to uncover trends and patterns in productivity growth and its unintended environmental consequences. The results emphasize the dominant influence of technological progress, particularly after 2006, as the primary driver of productivity growth, surpassing improvements in technical efficiency. A significant increase in technical change (1.56 in 2021) compared to technical efficiency (1.05) underscores the importance of sustained investment in research and development (R&D), which correlates positively with patent generation and technological advancement. The study also illustrates that OECD countries have effectively integrated eco-efficient practices, aligning with global trends in environmentally conscious productivity analyses. By integrating environmental outputs such as PM2.5 pollution, the analysis demonstrates that countries mitigating these adverse effects achieve higher productivity growth. These findings challenge conventional productivity models, where productivity diminishes when environmental aspects are considered. The analysis emphasizes the necessity for tailored policy approaches to address disparities in R&D investments, technological adoption, and eco-efficiency among countries. Countries with more significant R&D investments consistently demonstrate superior technological advancement in patents (0.745). Policymakers are urged to prioritize long-term strategies that foster technological innovation and environmental sustainability to ensure sustained productivity growth and economic resilience.

Information Technology Governance Using the COBIT 2019 Framework at PT Bank Pembangunan Daerah Papua

Effective and efficient information technology (IT) management is crucial for the banking industry, especially for PT Bank Pembangunan Daerah Papua (BPDP), which seeks to reinforce its role within the Papua region. Leveraging the COBIT 2019 framework, BPDP aims to enhance IT governance, addressing operational efficiency, information security, and regulatory compliance. This study highlights BPDP's strategic priorities, such as revenue growth, fostering innovation, and customer service excellence, which are essential for sustaining competitive advantage amidst regional geopolitical challenges. By identifying these key priorities, the research uncovers critical areas of improvement, including IT investment optimization, mitigation of regulatory and security risks, and solidifying IT's strategic role in driving business growth. To evaluate BPDP's IT governance maturity, this study applies COBIT 2019's ten design factors, from enterprise goals and risk profiles to IT-related issues, compliance needs, and technology adoption strategies. The findings underscore gaps in risk management, project lifecycle oversight, and resource allocation, offering actionable insights for governance improvement. Enhanced IT integration can support BPDP's larger objectives of sustainable growth and economic development within the region. Furthermore, the study demonstrates that a well-structured governance framework strengthens BPDP's operational efficiency, builds customer trust, and ensures alignment with regulatory standards and evolving technology landscapes. By adopting these governance recommendations, BPDP can achieve long-term success and secure its position as a prominent financial institution in Papua, thus reinforcing its commitment to regional economic growth and compliance with national regulatory standards.

Assessing the mediating role of knowledge management in the relationship between technological innovation and sustainable competitive advantage.

This study employed the resource-based view theory to investigate the relationships between technological innovation, knowledge management, and sustainable competitive advantage in the hospitality sector, focusing explicitly on hotels in the Yaounde and Douala regions of Cameroon. Cluster sampling was employed to identify 370 respondents from of 35 hotels. Structural equation modelling (SEM) was utilized to analyze the data. The study found that technological innovation had a positive and significant influence on sustainable competitive advantage and knowledge management. It was observed that knowledge management had a positive and significant influence on sustainable competitive advantage. The investigation discovered that knowledge management partially mediates the relationship between technological innovation and sustainable competitive advantage. Cameroonian hotels can improve their competitive advantage by innovating technology and promoting efficient knowledge management techniques. Adopting cutting-edge technologies and fostering a culture of knowledge exchange can result in increased operational efficiency, enhanced service delivery, and differentiation from rivals, ultimately bolstering long-term competitiveness in the hospitality sector.

Is technological innovation good or bad? An empirical investigation of technology startups

Digitalization has brought several unpredictable changes in the field of technology and innovation management. Despite several studies on how digital innovation stands out in terms of a firm's performance, there is an evident research gap for empirical studies on technology startups from developing countries. Therefore, this research investigates the impact of digitalization in three categories (digital interconnectedness, digitalized value chains and big data analytics) on exploratory and exploitative innovations under the moderation of absorptive capacity in technology startups of three different sizes operating in Pakistan. The study used the binary probit model and the results reveal the impact of digitalization on exploratory and exploitative innovations is heterogenous in startups of different sizes along with a significant moderating effect of absorptive capacity. The findings suggest that technological innovation plays a different role among different sizes of startups under the moderation of absorptive capacity.

“We switched from nano to femtosecond lasers and never looked back”

AbstractLasea is a provider of laser micromachining, plastic welding, marking and traceability, and surface treatment for the medical, watchmaking and jewelry, electronics, and R&D sectors. Its CEO and CCO were interviewed by EPIC's technology manager for biomedical and lasers.

Industrial Metaverse as a New Component of Digital Transformation: A Bibliometric Analysis

Abstract— The digital transformation process in businesses operates within the data and knowledge cycle. This cycle ensures that all functions and units of an business collaborate effectively to achieve maximum efficiency from technological advancements. Recently, industrial metaverse technology has emerged as a new catalyst in the digital transformation process. This technology integrates with various other technologies to generate a virtual work environment akin to the physical workspace. The objective of this study is to identify the technologies and processes that industrial metaverse technology collaborates with and to provide a vision for researchers and businesses interested in this field. To achieve this objective, a bibliometric analysis was conducted on studies indexed in the Web of Science (WoS) and Scopus databases using the keyword "industrial metaverse." The analysis included a total of 60 studies: 44 from the Scopus database and 16 from the WoS database. A comprehensive examination of these 60 studies was performed, with data compiled manually and analyzed using the Vosviewer application. The study concluded that industrial metaverse technology is associated with processes such as smart production, employee-technology collaboration, ensuring the functionality of the data and knowledge cycle infrastructure, employee training, and environmental sustainability. Additionally, technologies such as digital twins, blockchain, virtual reality (VR), augmented reality (AR), Industrial Internet of Things (IIOT), and artificial intelligence (AI) form the infrastructure of industrial metaverse technology. Keywords— Digital transformation, Industrial metaverse, knowledge management, technology and innovation management, Industry 5.0

How About Enhancing Organizational Security

Despite its importance, there is little research on how organizations perceive information security management. This study classified critical success factors in information security management at the organizational level. A performance model was designed to empirically test the validity of these factors. Data were collected through an online questionnaire from prominent information technology managers and specialists who worked in Saudi organizations and contributed to decision making about information security. The data were analyzed using structural equation modeling. The selected constructs—business alignment, top management support, information security awareness, and security controls—appeared to significantly influence information security management, with the balanced scorecard shown as an effective way of measuring performance.

Durian Agribusiness Development Strategy in Boven Digoel Regency

The agricultural sector, which includes forestry, fisheries, animal husbandry, hunting, and farming services, is the main contributor to forming Boven Digoel Regency's GRDP. The largest commodity contributing to GRDP comes from the plantation crop subsector, not the horticulture subsector, such as durian, even though the subsector has considerable production potential. This is due to suboptimal post-harvest management and limited knowledge of durian cultivation technology among local farmers. Most farmers still use less efficient traditional methods, so the yield could be more optimal. This study aims to analyze internal and external factors and formulate local economic development strategies based on durian agribusiness. The data used included primary and secondary data, and the analysis was conducted using descriptive methods, IFE, EFE, IE Matrix, SWOT Analysis, and QSPM. The results showed that the durian agribusiness economy in Boven Digoel Regency based on the IE matrix is in quadrant I (growth and investment) with internal factors 3.13 and external factors 3.08. SWOT analysis resulted in three main strategies: market expansion, diversification of durian processed products, and restructuring the production system. Diversification of processed products, such as dodol and ice cream, proved to be the most effective strategy based on QSPM analysis, with a score of 6.32.

Devising a project risk management method under scrum conditions based on cognitive approach

Any project implemented using Scrum is characterized by the impact of risks, including negative changes in the environment and crisis circumstances. Therefore, the processes related to risk management, which is the object of this paper, become important. The problem solved in this study is to improve the efficiency of projects through the construction of a long-term strategy for reducing the level of risk and avoiding negative consequences for projects in the context of Scrum. The proposed method of risk management has been developed on the basis of the application of the synthesis of management of intelligent decision-making technologies and formalized methods. Difficult external circumstances are characterized by a high degree of uncertainty and do not always contribute to the successful implementation of the project. Therefore, this method of project risk management under Scrum conditions based on a cognitive approach is characterized by a combined combination of cognitive analysis, mathematical modeling, and expert methods. As part of the method, a model of project risk management under Scrum conditions has been built in the form of a fuzzy cognitive map, which could ensure determining the optimal strategic decision in dynamics, taking into account the effects of various factors. The result of applying this method is compliance with time limits, reduction of overspending of resources and losses in the project, as well as adaptation to rapidly changing circumstances and adequate response. The method of project risk management is characterized by solving the problem of formalizing management decision-making procedures and their information support, taking into account the availability of both quantitative and qualitative data. Within the framework of this method, a project risk management procedure under Scrum conditions has been proposed, which contributes to the systematization, monitoring, and control of risks under the conditions of complex, rapidly changing crisis circumstances

A Comprehensive Model for Innovation Ecosystems

Abstract Research on innovation ecosystems is mostly approached from the point of view of institution-oriented aspects, which typically focus on the structural elements of innovation systems. However, this perspective has limitations to describe a really functioning innovation system, as it does not take into account its complex nature of dynamics and the functional features. The authors run research on models of innovation ecosystems based on complexity theory principles. The presented perspective, based on complexity theory, takes into account not only the structural and the complex but also the dynamic feature of the innovation ecosystems, still using the triple helix approach as a basis. The objective of the article is to present a system model framework for innovation ecosystems, that can be used for development of technology and science parks management models. The approach of the research is based on literature review and discussion of relevant results, followed by explanation and concluding a possible innovation ecosystem framework model, finally demonstrated its interpretation through a specific case. In its first part, the article gives a general overview on complex systems from point of related findings on innovation ecosystems. Based on literature review, the preliminary analysis of the authors in the subject is given. Then, the relevant model features are described, then and the proof of the concept is explained according to the research. The descriptive features of complex systems based on the referenced papers are used to interpret the proposed model. The main outcome of the article is a comprehensive innovation ecosystem model as a tool to understand and analyse such systems based on actors, functions and key factors. The authors demonstrated in the article that features of complex systems not only help describing innovation ecosystems but also support defining key model elements. An empiric case of ZalaZONE Technology Park was shown related to the presented innovation ecosystem model. Finally, the next steps of the model development are outlined and advice is concluded for application of the model in the practice and in further research. The novelty of the article is pointing out that the simple model of triple helix and the complexity approach as a view for modelling the real circumstances, can be well-combined to outline a comprehensive model for innovation ecosystems.

Analysis of Scale of Business in mediating Financial Technology and Knowledge Management on Digital-Based Accounting of Micro, Small and Medium Enterprises in Medan City

Micro, small and medium enterprises are businesses that can help neraga in improving the community's economy, reducing unemployment so that the government is now very enthusiastic in supporting the development of MSMEs. It is inseparable from the local government of Medan City which motivates business actors in using digitalisation in every sector in running a business so that it can develop not only at the national level but even at the international level. This research was conducted in Medan City with the variables used were Scale of Business, Finalcial Technology with Knowledge Management as the mediating variable on digital-based accounting of MSMEs. The population in this study were MSMEs under the guidance of the Medan City UKM cooperative office which already had a Business Identification Number of 488 businesses with a sampling method using the Slovin formula with an error rate of 5%. The analysis model used to test the hypothesis in this study is multiple regression analysis using the Smart PLS application. multiple regression analysis is a statistical method used to determine the magnitude of the influence between independent variables. Indirectly Scale of Business Mediates Financial Technology, on Digital-Based Accounting, Indirectly Scale of Business does not Mediate Knowledge Management, on Digital-Based Accounting, Directly Scale of Business, Financial Technology, Knowledge Management, have a significant effect on Digital-Based Accounting, Directly, Financial Technology has a significant effect on Scale of Business, Directly, Knowledge Management does not have a significant effect on Scale of Business micro small and medium enterprises in Medan City.

Factors Affecting the Management of Small and Medium-Sized Enterprises and Corresponding Recommendations

Abstract: Small and medium-sized enterprises (SMEs)play a crucial role in economic development. Their management methods and internal strategic decisions not only affect their own development but also influence the establishment of internal management systems within related industries. Therefore, identifying the factors that influence changes in business management methods is of paramount importance for SMEs. Additionally, due to the smaller size and scale of SMEs, they are easily affected by changes in various management factors. To mitigate risks and enhance development, SMEs must assess both individual and combined impacts of various factors. This article employs a literature review to examine SMEs comprehensively. It summarizes and analyzes existing research, identifies key management factors, and offers targeted recommendations. The research results show that human resource management, financial management, and technology management have important effects on the management methods of SMEs. All three aspects originate from the enterprise itself and continuously affect enterprise development from different angles. Therefore, this article also proposes corresponding recommendations for SMEs concerning these three aspects, in order to continuously improve enterprise management methods.

The Influence of Accessibility, Design, and BUMDes Website Features on the Effectiveness of BUMDes Management in Sumberpucung District

Good management of Village-Owned Enterprises (BUMDes) is very important to support economic growth in the region. The BUMDes website of Sumberpucung District has been developed to support the effectiveness of BUMDes management there. This study aims to explore the influence of the existence of the website in terms of accessibility, interface design, and website features on the effectiveness of BUMDes management. Research data were obtained through literature studies and filling out questionnaires from 25 research samples. The research instruments used were tested through validity and reliability tests, and the data and regression models used were tested through classical assumption tests and hypothesis tests. The results of the study showed that accessibility, interface design, and website features had a significant positive effect on the effectiveness of BUMDes management in Sumberpucung District. The three variables also had a simultaneous effect on the effectiveness of BUMDes management. The results of this study are expected to be a consideration in the management of BUMDes in Sumberpucung District in the future and provide broader insights regarding the use of information technology and organizational management.

The Impact of Green Logistics on the Sustainable Development of Enterprises

This study examines the importance of green logistics for the sustainable development performance of enterprises. It analyzes the connotation and application of green logistics, the significance of corporate sustainable development, and the relationship between the two, to clarify the decisive influence of green logistics in contemporary enterprises. At the same time, it points out the existing problems in the development process of green logistics from multiple perspectives, indicating that the further development of green logistics requires the efforts and cooperation of enterprises, governments, and multiple parties in the supply chain. Following this positioning, several conceptual solutions are proposed, such as the innovation and sustainable utilization of green technology and green management in logistics, and the government's role as a third party in regulating the application of green logistics. The research results have theoretical significance, highlighting the impact of green logistics on corporate sustainable development and the important role of the government in sustainable development. The practical significance includes improving corporate sustainable development performance indicators in the technical and management dimensions, in order to further improve the organization's sustainable operations and behavior.

Creating a Sustainable Competitive Advantage: The Roles of Technological Innovation, Knowledge Management, and Organizational Agility

Creating a Sustainable Competitive Advantage: The Roles of Technological Innovation, Knowledge Management, and Organizational Agility

As a Public Diplomacy Component Technology Management Policy and Technology Transfer Offices of Turkey

This paper explores the role of Turkey's National Technology Management Policy and Technology Transfer Offices (TTOs) as components of public diplomacy. The National Technology Management Policy plays a significant role in shaping Turkey's international image, influence, and soft power. The centralized approach to policy formulation and implementation underscores the strategic alignment of technology management policies with the country's objectives, including those related to public diplomacy. Additionally, TTOs play a crucial role in facilitating the transfer of technologies and knowledge between universities, research institutions, and industry, contributing to Turkey's technological advancement and competitiveness. The paper evaluates the impact of these components on Turkey's public diplomacy efforts and their potential to enhance the country's international standing and influence.

CPH-Fmnet: An Optimized Deep Learning Model for Multi-View Stereo and Parameter Extraction in Complex Forest Scenes

The three-dimensional reconstruction of forests is crucial in remote sensing technology, ecological monitoring, and forestry management, as it yields precise forest structure and tree parameters, providing essential data support for forest resource management, evaluation, and sustainable development. Nevertheless, forest 3D reconstruction now encounters obstacles including higher equipment costs, reduced data collection efficiency, and complex data processing. This work introduces a unique deep learning model, CPH-Fmnet, designed to enhance the accuracy and efficiency of 3D reconstruction in intricate forest environments. CPH-Fmnet enhances the FPN Encoder-Decoder Architecture by meticulously incorporating the Channel Attention Mechanism (CA), Path Aggregation Module (PA), and High-Level Feature Selection Module (HFS), alongside the integration of the pre-trained Vision Transformer (ViT), thereby significantly improving the model’s global feature extraction and local detail reconstruction abilities. We selected three representative sample plots in Haidian District, Beijing, China, as the study area and took forest stand sequence photos with an iPhone for the research. Comparative experiments with the conventional SfM + MVS and MVSFormer models, along with comprehensive parameter extraction and ablation studies, substantiated the enhanced efficacy of the proposed CPH-Fmnet model in addressing difficult circumstances such as intricate occlusions, poorly textured areas, and variations in lighting. The test results show that the model does better on a number of evaluation criteria. It has an RMSE of 1.353, an MAE of only 5.1%, an r value of 1.190, and a forest reconstruction rate of 100%, all of which are better than current methods. Furthermore, the model produced a more compact and precise 3D point cloud while accurately determining the properties of the forest trees. The findings indicate that CPH-Fmnet offers an innovative approach for forest resource management and ecological monitoring, characterized by cheap cost, high accuracy, and high efficiency.

Extracorporeal membrane oxygenation in critically ill patients with active hematologic and non-hematologic malignancy: a literature review.

Combined progress in oncology and critical care medicine has led to new aspirations and discussions in advanced life support modalities in the intensive care unit. Over the last decade, extracorporeal membrane oxygenation, previously considered unsuitable for oncologic patients, has become increasingly popular, with more diverse applications. Nevertheless, mortality remains high in critically ill cancer patients, and eligibility for extracorporeal membrane oxygenation can be extremely challenging. This scenario is even more difficult due to the uncertain prognosis regarding the underlying malignancy, the increased rate of infections related to intensive care unit admission, and the high risk of adverse events during extracorporeal membrane oxygenation support. With advances in technology and better management involving extracorporeal membrane oxygenation, new data on clinical outcomes can be found. Therefore, this review article evaluates the indicators for extracorporeal membrane oxygenation in different types of oncology patients and the possible subgroups that could benefit from it. Furthermore, we highlight the prognosis, the risk factors for complications during this support, and the importance of decision-making based on a multidisciplinary team in the extracorporeal membrane oxygenation indication.