Technology-driven Innovation Research Articles

The Impact of Digital Finance Development on Enterprises

As a new generation of financial services combined with traditional financial services through the Internet and information technology, digital finance will certainly have a far-reaching impact on enterprises. This paper reviews the development of digital finance in recent years for the help of enterprises. This paper firstly discusses the influence of digital finance on the technological innovation of enterprise, mainly from the perspective of financing structure, and optimization of enterprises governance. Secondly, this paper discusses the role of digital finance in the high-quality development of enterprises, mainly from the perspective of financial support, reducing non-compliance and ESG performance. In addition, the paper summarizes the impact of digital finance on the optimization of enterprises financial structure and the positive effect of digital finance on enterprises value. Finally, the paper looks at the future development of digital finance in the context of technology-driven innovation and the comprehensive digitization of financial services.

Using Text Mining to Identify Research Trends in Management Information Systems Theses: A Topic Modeling Approach

This study employs topic modeling to analyze 386 master's and doctoral theses in the field of Management Information Systems (MIS) in Turkey between 2002 and 2024. Using Latent Dirichlet Allocation, the research uncovers key thematic areas such as digital transformation, system integration, process management, and user experience, alongside emerging trends in artificial intelligence, big data, and data mining. The findings reveal that MIS research increasingly addresses interdisciplinary challenges and provides practical solutions for societal and business needs. This study not only maps the evolution of research trends in the MIS field but also offers actionable insights to guide future academic and applied research. The results emphasize the pivotal role of MIS in advancing digital transformation and its potential to contribute significantly to addressing global challenges through technology-driven innovation.

AI-Driven Smart Transformation in Physical Education: Current Trends and Future Research Directions

Although the rapid development of Artificial Intelligence (AI) in recent years has brought increasing academic attention to the intelligent transformation of physical education, the core knowledge structure of this field, such as its primary research topics, has yet to be systematically explored. The LDA (latent Dirichlet allocation) topic model can identify latent themes in large-scale textual data, helping researchers extract key research directions and development trends from extensive literature. This study is based on data from the Web of Science Core Collection and employs a systematic literature screening process, utilizing the LDA topic model for in-depth analysis of relevant literature to reveal the current status and trends of AI technology in physical education. The findings indicate that AI applications in this field primarily focus on three areas: “AI and data-driven optimization of physical education and training”, “computer vision and AI-based movement behavior recognition and training optimization”, and “AI and virtual technology-driven innovation and assessment in physical education”. An in-depth analysis of existing research shows that the intelligentization of physical education, particularly in school and athletic training contexts, not only promotes sustainable development in the field but also significantly enhances teaching quality and safety, allowing educators to utilize data more precisely to optimize teaching strategies. However, current research remains relatively broad and lacks more precise and robust data support. Therefore, this study critically examines the limitations of current research in the field and proposes key research directions for further advancing the intelligent transformation of physical education, providing a solid theoretical framework and guidance for future research.

Marketing-Driven Supply Chain Innovation: A Framework for FMCG SME Sustainability

In an increasingly competitive and sustainability-conscious market, small and medium-sized enterprises (SMEs) in the Fast-Moving Consumer Goods (FMCG) sector face unique challenges in achieving long-term sustainability. This review explores the concept of marketing-driven supply chain innovation as a strategic framework for enhancing SME sustainability. By integrating consumer-centric marketing strategies with supply chain operations, SMEs can align their product offerings, sourcing practices, and logistics with growing consumer demand for environmentally and socially responsible products. The framework outlined in this study includes key components such as sustainable product design, green logistics, ethical sourcing, and the incorporation of circular economy principles. Additionally, technology-driven innovation, such as data analytics and digital platforms, is emphasized as a tool to improve supply chain transparency, reduce waste, and optimize resource utilization. Through these collaborative efforts, SMEs can foster stronger consumer trust, enhance brand loyalty, and build a competitive edge in the market. Despite the potential benefits, the review also discusses the challenges SMEs may face, including limited financial resources, resistance to organizational change, and balancing profitability with sustainability goals. However, by leveraging green financing options, cross-sector partnerships, and phased implementation strategies, SMEs can overcome these barriers. Ultimately, the integration of marketing-driven supply chain innovation is positioned as a critical path for FMCG SMEs to achieve long-term sustainability, profitability, and market competitiveness in an evolving global economy. Keywords: Marketing-Driven, Supply Chain, FMCG SME, Review.

Translation Technology for Foreign Language Teachers and Improvement of Translation Teaching Competencies

The rapid development of translation technology has profoundly impacted traditional foreign language teaching methods, providing extensive support for both teachers and students. This paper explores the influence of translation technology on foreign language teaching, analyzing the current status, attitudes, usage habits, and needs of teachers in relation to technology application. The swift advancement of technology has enriched foreign language teaching support and transformed traditional teaching models. The paper focuses on analyzing the types and applications of translation technology, its functions and roles in teaching, including classroom instruction, instructional design, and assignment assessment. Additionally, it examines the core elements of translation teaching competence, pathways for development, and strategies for enhancement, with a particular emphasis on technology-driven innovation models and the application of intelligent tools. Finally, the paper proposes future research directions, such as in-depth exploration of technology integration and data-driven teaching decisions, aiming to provide references for the development of translation teaching.

Financial inclusion through digitalization and economic growth in Asia-Pacific countries

Digital technology for financial inclusion tends to bring more benefits to people at the bottom of the economic pyramid across the Asia-Pacific region; therefore, financial inclusion is crucial for sustainable development and economic growth in this region. Digital financial services, based on technology-driven innovation, contribute to enhanced financial inclusion at affordable prices, which potentially reaches many new people who are unbanked or underbanked. This paper examines the impact of digital financial inclusion (DFI) on economic growth in 30 Asia-Pacific countries based on panel data for 2014, 2017, and 2021. A three-stage principal component analysis is used to develop the DFI index for the Asia-Pacific region, capturing both the digital and traditional aspects. We use fixed effect regression to examine the linear effect of DFI on economic growth, and results show a significant positive impact, contributing to the Theory of Finance and Growth, System Theory, and Diffusion Theory of Innovation. Given the different roles of DFI in different countries and the wide digital divide across the region, this paper employs a panel threshold regression model to identify any non-monotonic influence of DFI on economic growth. The results show a significant threshold effect of DFI, indicating the non-linear effect of financial inclusion on economic growth. The paper brings evidence-based policy implications to boost DFI to achieve inclusive growth.

SME owners’ roles for mutual reinforcement of innovation and entrepreneurship in dealing with digital technologies: case studies of selected Indonesian SMEs

ABSTRACT This article explores the relationships among innovation, entrepreneurship, and digital technology, specifically how the management of small and medium enterprises (SMEs) utilise innovation and entrepreneurship to deal with digital technologies and/or how the management leverages digital technologies for innovation and entrepreneurship. A qualitative research approach using a case study was employed to examine the phenomena, focusing on deep observations. The research found that SME owners play crucial roles in three areas: (i) demonstrating entrepreneurial ability through knowledge, experience, talent, and innovation; (ii) performing strategic functions by leveraging external sources of innovation, with the help of digital technology; and iii. acting as digitally minded entrepreneurs to enhance manufacturing processes and establish new marketing channels. The mutual reinforcement of innovation and entrepreneurship in dealing with digital technology, is influenced by both user and demand-driven innovation, knowledge and technology-driven innovation, experiential knowledge-driven innovation, articulation of innovation outcomes, digital network-based marketing, and technical guidance on digital transactions in e-commerce and e-business. This research confirmed that there is a mutual reinforcement between the innovation and entrepreneurship of SMEs in adopting digital technology. New insight for digitally minded entrepreneurs is the use of digital technology to boost business efficiency toward global enterprises’ competitiveness and sustainability.

Investigating the impact of digital transformation on manufacturers’ Business model: Insights from Swedish industry

Digital transformation (DT) triggers a fundamental technological shift in industry enabling the creation of smart and connected factories. DT is not only a technology-driven innovation approach: it also requires changes of the Business Model (BM). Despite this, there is a lack of comprehensive studies that examine how aspects of manufacturing digitalisation align with the Business Model Innovation (BMI) process. To address this gap, this paper analyses the DT journey of several Swedish medium and large firms through semi-structured interviews with staff involved in such process. The empirical findings reveal that the BM elements addressing value creation and strategy aspects are the most affected by DT. Additionally, this study identifies the links among such elements. The findings are compiled in a holistic framework that can serve as a blueprint for practitioners seeking to adopt digital technologies in their production environments. This holistic approach aims at supporting practitioners to understand the BMI process triggered by DT and consequently aligning their manufacturing strategy with the BM’s components.

Technology audit of the Nigerian agricultural sector: towards food security

Technology-driven innovation has been generally believed to play a key role in the building of a sustainable economy. The object of the research is the audit of agricultural technology for businesses in Nigeria. This research aimed to audit the existing technologies for agricultural businesses in Nigeria, in a bid to determine the technological strengths, weaknesses, opportunities and needs that are required to transform the sector to an enviable status. The methodology involved the use of a well-structured questionnaire for data collection from 133 randomly selected agriculture-based firms, spread across the country. The instrument inquired about the technology use, needs, and prospective technological potentials. Issues relating to effective utilization, technology diffusion, and factors affecting the firms were also assessed. The results of the technology audit of the Nigerian agriculture sector revealed the prevalence of medium and low-classed technologies among the surveyed firms, while a majority desired the technologies in the medium-to-high category. Firms scarcely (4.4 %) deploy high technologies, and effective diffusion of available technologies is due largely to human/technical factors. A good percentage of respondents affirmed competency and continuous training as critical factors for the effective utilization of technologies. Finances are critical not only to acquire, but also to run, maintain, hire experts, and perform other necessary activities that would enhance effective use of technologies. The present results revealed that most firms do not opt for high technologies mainly because of a huge capital base, and unavailability of basic infrastructures such as power, and space which many of the surveyed firms considered unsurmountable. Thus, a lot is required technology-wise for Nigeria to achieve sustainable and innovative agricultural growth.

Technology-Driven Innovation in Cultural Heritage: A Museum Experience Perspective

This study explores the evolving impact of technology on cultural heritage encounters, specifically within museum settings. It introduces a comprehensive conceptual framework that encompasses various aspects of the museum experience influenced by technology and assesses its effects on visitor satisfaction and loyalty intentions. Through an empirical investigation involving 300 individuals visiting archaeological sites in Rome (Italy), including both permanent and temporary exhibitions with varying levels of technological integration, this research employs a self-administered questionnaire to validate its hypotheses. The results underscore the significance of technology in shaping diverse facets of the visitor experience, such as education-entertainment fusion, engagement, and ambience, with substantial implications for enhancing customer satisfaction and fostering visitor loyalty. This research adopts a mixed-methods approach to investigate the evolving role of technology in cultural heritage encounters within museums. In a first phase, a comprehensive conceptual model that captures various dimensions of the museum experience influenced by technology was designed. Subsequently, data was collected from a purposive sample of 300 individuals visiting archaeological sites in Rome, encompassing both permanent and temporary exhibitions. This sample is intentionally diverse in terms of technology integration, allowing for a nuanced analysis. Data is gathered through the administration of a self-administered questionnaire designed to empirically test the hypotheses formulated in the conceptual model. Statistical analyses, including regression analysis and structural equation modeling, are employed to assess the impact of technology on visitor satisfaction and loyalty intentions. This research contributes to the field by introducing a comprehensive conceptual framework that holistically examines the multifaceted influence of technology on the museum experience, including dimensions such as edutainment, engagement, and ambience. Furthermore, it provides empirical evidence of these effects through a diverse sample of museum visitors. This study offers valuable insights into the evolving role of technology in cultural heritage contexts, filling a gap in the existing literature and providing actionable guidance for cultural institutions seeking to enhance visitor engagement and loyalty. The findings of this research hold practical significance for cultural institutions, particularly museums, aiming to leverage technology to enrich visitor experiences. By understanding how technology influences dimensions such as edutainment, engagement, and ambience, museums can strategically integrate technology to enhance customer satisfaction and foster visitor loyalty. This research encourages museums to adopt innovative technological solutions that cater to diverse visitor preferences, ultimately ensuring a more immersive and satisfying cultural heritage encounter.

Integrative model for integrating green initiatives in Industry 4.0 enterprises

The convergence of green initiatives and Industry 4.0 presents both opportunities and challenges for modern enterprises. The aim of this study is to propose a model that offers a structured approach for companies and entrepreneurs to embed green initiatives into their operations, capitalizing on the technological advancements and operational efficiencies of Industry 4.0. By drawing parallels to Intel's Environmental, Social, and Governance (ESG) framework, this model is designed to be comprehensive, addressing critical aspects such as resource efficiency, supply chain sustainability, and technology-driven innovation. The proposed Integrative Model provides a strategic roadmap for achieving sustainability goals while leveraging the technological advancements of Industry 4.0. By incorporating cutting-edge technologies such as IoT, big data analytics, and advanced manufacturing, the model not only enhances operational efficiency but also promotes sustainable practices across the value chain. The study underscores the necessity of a phased approach for implementation, involving assessment, strategic planning, and continuous improvement. This model complements existing frameworks like Intel's ESG by providing specific tools and strategies tailored to the unique demands of Industry 4.0 enterprises. Ultimately, it serves as a critical resource for companies aiming to achieve a competitive advantage through sustainable, technology-driven practices.

UNLEASHING THE IMPACT OF FINTECH ADOPTION BY COMMERCIAL BANKS: A DYADIC APPROACH THROUGH TECHNOLOGY DRIVEN INNOVATION THEORY

The banking sector has been enduring a rapid evolution with the growth of fintech products. Fintech products (FTPs) are innovative methods that use technology to enhance financial services and provide customers with innovative products and services. There is hardly found any research in aspects of customers and employee perspective. Therefore, this research paper explores impacts of fintech products in financial and non-financial performance in banking industry in Bangladesh on aspects of customers and employee perspective. To conduct the research, Technology Driven Innovation (TDI) theory is employed. Technology Driven Innovation is essential for banking industry as it qualifies banks to develop customer experience, to be competitive and overcome emerging encounters and unveil new opportunity for expansion & growth. To investigate the research, primary data is employed as quantitative method. Smart PLS 4.0 is utilized to run the analysis. In findings, perceived usefulness and perceived difficulty of use of FTPs have significant relation with firm performance. Perceived usefulness of use of FTPs is highly related to customer satisfaction as well as Firm performance. Similarly, perceived difficulty of use of FTPs is related with service quality and work efficiency. KEYWORDS- Customer Satisfaction, Fintech, Fintech Product, Service quality and Work Efficiency.

Special libraries’ odyssey into the 3D realm

PurposeThis paper aims to explore the dynamic evolution of the integration of three-dimensional (3D) technologies into special libraries. This analysis examines the difficulties and advantages that emerge from this significant shift and emphasises the possibilities for improving research, education and preservation in these specific environments.Design/methodology/approachThis study uses a comprehensive approach, synthesising existing literature and case studies to gain insights into the adoption of 3D technology in special libraries. It also explores the synergy between 3D technology and artificial intelligence (AI) within library services.FindingsThis research uncovers a dynamic landscape in special libraries, marked by a growing embrace of 3D technology. Specialised industries and organisations increasingly use this technology to enrich their services, from crafting physical models for in-depth research to safeguarding precious artifacts through digital replication. Challenges include the need for specialised expertise, financial constraints and limitations in access. Notably, the integration of AI enhances user experiences by streamlining search and discovery.Originality/valueThis study adds value to the field by shedding light on the transformative potential of 3D technology and AI in special libraries. It underscores the significance of strategic planning, collaboration, staff training and tailored needs assessments to ensure successful technology integration. This paper’s originality lies in its exploration of emerging trends and the outlook for technology-driven innovation and collaborative endeavours shaping the future of special libraries.

Towards a Model for the Transfer of Technology-Driven Innovation in Accessible and Inclusive Public Transport.

This article reports on work undertaken by AAATE researchers in the framework of the EU-funded TRIPS Project. The project (2021-2023) has aimed to contribute to transforming public transport in Europe and beyond toward more inclusive models, leaving no one behind. The reported findings refer to a specific aspect of the transformation process that has been investigated by the authors, namely the factors that impact the transfer of innovation in accessibility by the public transport providers. A framework model was created due to a process of factor extraction from existing literature and their validation by a sample of decision-makers in the public transport sector.

Robots and firm innovation: Evidence from Chinese manufacturing

Automation technology-driven innovation, as a key component of the Fourth Industrial Revolution, has significantly increased in recent years with the rapid development of artificial intelligence and robots. This paper aims at investigating robots as an unconventional source of innovation and a driver of desirable outcomes such as sustainability. We study unconventional innovation with the adoption of robots through the lens of user innovation theory and carry out a series of empirical analyses by compiling a unique dataset containing firm characteristics, patent applications, and robot stock in Chinese manufacturing. The regression results show a positive and significant relationship between robots and firm innovation. We also find that robots drive firm sustainable innovation measured as patents that are related to environmental innovation. Lastly, we empirically analyze several mediating mechanisms of robots as the unconventional source of innovation through the factor-augmenting technology effect, substitution effect, and absorptive capacity effect.

The significance of technology-driven entrepreneurship activities: Lessons from SMEs operating in the manufacturing industry

Innovation in small and medium enterprises (SMEs) is often the result of technology-driven or market-pull entrepreneurship activities. So far, although its importance in practice, as well as in academia continues to grow, extant research exhibits little theory about the process of technology-driven entrepreneurship in SMEs. The study aims to better understand how technology-driven entrepreneurship processes transform business in SMEs in the manufacturing industry. Therefore, we developed a technological entrepreneurship (TE) process framework by utilizing the flexible pattern matching approach (FPMA). We iteratively compared a priori patterns from existing theoretical knowledge to empirical findings that emerged from in-depth interviews with corporate executives in the manufacturing industry. The framework highlights the TE process in SMEs leading to four output components: (1) corporate-function-related, (2) business-model-related, (3) competitiveness-related, and (4) customer-related. This study makes a unique contribution to academia by being the first that develops a TE process framework tailored to SMEs from the manufacturing industry. We point out that sustainable growth and competitiveness of SMEs depends on appropriate TE process management, and we underline the strategic importance of TE-driven transformation for SME managers. Our study expands the scope of TE and SME research and provides empirically grounded insights into technology-driven innovation.

The ideology of innovation: philanthropy and racial capitalism in global food governance

ABSTRACT The converging crises of growing food insecurity and climate change have produced a global struggle to govern food systems. While a range of actors promote innovation as a solution to transform food systems, Bill Gates has leveraged his vast philanthropic funding to advocate for a particular vision of technology-driven innovation led by the private sector. This article elaborates Gates' ‘ideology of innovation' and analyzes its continuities with an earlier ideology developed to legitimize racial capitalism-improvement. In doing so, it reveals how Gates’ ideology serves to reproduce racialized regimes of ownership and relations of dependence in the information economy.

A Methodological Framework to Predict Future Market Needs for Sustainable Skills Management Using AI and Big Data Technologies

Analysing big data job posts in Saudi cyberspace to describe the future market need for sustainable skills, this study used the power of artificial intelligence, deep learning, and big data technologies. The study targeted three main stakeholders: students, universities, and job providers. It provides analytical insights to improve student satisfaction, retention, and employability, investigating recent trends in the essential skills pinpointed as enhancing the social effect of learning, and identifying and developing the competencies and talents required for the Kingdom of Saudi Arabia’s (KSA’s) digital transformation into a regional and global leader in technology-driven innovation. The methodological framework comprises smart data processing, word embedding, and case-based reasoning to identify the skills required for job positions. The study’s outcomes may promote the alignment of KSA’s business and industry to academia, highlighting where to build competencies and skills. They may facilitate the parameterisation of the learning process, boost universities’ ability to promote learning efficiency, and foster the labour market’s sustainable evolution towards technology-driven innovation. We believe that this study is crucial to Vision 2030’s realisation through a long-term, inclusive approach to KSA’s transformation of knowledge and research into new employment, innovation, and capacity.

Can Carbon Trading Policy Promote China’s Decoupling of Carbon Emission From the Perspective of Technology-Driven Innovation?

The emissions trading policy is considered a key measure for China to achieve its “double carbon” goal. In this study, two types of Tapio carbon decoupling models are constructed, panel data for 30 provinces and cities in China from 2004 to 2017 are selected, and the difference-in-differences (DID) model is used to evaluate the role of carbon trading policies in carbon decoupling. The study shows that carbon emissions trading policies can significantly promote carbon decoupling in China and that the formulation and implementation of such environmental regulations promote carbon decoupling with the help of two intermediary variables: gray technology innovation and clean technology innovation. Based on the findings, it is concluded that China should actively build a unified national carbon trading market, ensure the synergistic coupling of emission reduction targets and economic growth targets, and effectively play the role of the carbon trading market in inducing and promoting low-carbon technology innovation to help decouple carbon.

Degree of Awareness and the Antecedents of the Digital Media Platform: The Case of Mobile Wallets

Digitalization—a technology-driven innovation—is shaping the future of the economy and society at large. The impact of digitalization on digital payment industry has been phenomenal. The purpose of this article is (i) to examine the degree of awareness associated with mobile wallets and its relationship with demographic variables and (ii) to build a logistic model to predict the attitude towards mobile wallet using a group of antecedents. A total of 744 responses were obtained. Convenience and purposive sampling were used. The results show that 69% of the respondents had high awareness level with respect to mobile wallets. Further, it was found that out of the various demographic variables under consideration only gender, occupation and income significantly impact awareness levels. It was also revealed that awareness levels, perceived usefulness, trust, security and lifestyle compatibility are strong and significant predictors of attitude towards mobile wallets. The predictive ability of the model as is 89.11%, which is satisfactory. This study provides a framework for academicians to understand awareness, user behaviours and attitude related to mobile wallets. It can also guide mobile service providers to focus on important factors affecting user’s adoption decision.