Drivers Of Innovation Research Articles

Collaboration and Technology Transfer in the Defense Industry as Drivers of Innovation and Global Security Enhancement

Collaboration and Technology Transfer in the Defense Industry as Drivers of Innovation and Global Security Enhancement

Deep learning in autonomous driving: Advantages, limitations, and innovative solutions

With the rapid development of autonomous driving technology, deep learning has become a core driver for innovation in testing autonomous driving scenarios. This review paper delves into the critical role of deep learning in autonomous driving technology. The paper will describe how deep learning is at the center of driving innovation. The paper thoroughly explores the application of deep learning in obstacle detection, scene classification and understanding, and image segmentation, emphasizing the significant benefits in perception and decision-making while pointing out the challenges and innovative solutions adopted. The innovative solutions section proposes multimodal fusion and joint learning, new methods for 3D semantic segmentation, etc., aiming to improve image segmentation's accuracy and generalization ability. Overall, deep learning has great potential in automated driving technology, and by innovating and solving challenges, it will advance the system and provide reliable, intelligent, and efficient solutions for future transportation systems.

How Does Government Information Access Interplay with Resources of Emerging Market Small and Medium-Sized Enterprises for Innovation? Evidence from Vietnam

This study integrates the (extended) resource-based view (ERBV/RBV) and non-market strategy (i.e., corporate political activity) to investigate the role of internal and external resources as drivers of innovation in small and medium-sized enterprises in emerging markets (ESMEs). Using primary data from 192 Vietnam SMEs collected between 2014 and 2016, we adopted a partial least square estimation to examine our hypotheses, supplemented by ordinary least square and unobserved heterogeneity tests for robustness. Our PLS-SEM results reveal that firms with intangible resources, from human capital investment to political connections, are more likely to innovate. While the positive effect of human capital investment on innovation is not moderated by government information access, the impact of political connections as an extended resource is significantly enhanced by access to government information. On the other hand, international export experience is not related to innovation by itself, but it is positively moderated by government information access, suggesting that engaging in international markets alone is insufficient. This study contributes to the emerging market literature by examining the effects of intangible resources and political connections on ESMEs’ innovation and highlighting the role of government information as a non-market strategy access in enhancing these relationships.

Exploring Dynamic Capability Drivers of Green Innovation at Different Digital Transformation Stages: Evidence from Listed Companies in China

Digital transformation has emerged as a pivotal catalyst for corporate green innovation, specifically in the context of the green development of the manufacturing industry. Nevertheless, it is evident that there are significant disparities in the various stages of corporate digital transformation. Furthermore, the precise dynamic capabilities required to propel corporate green innovation at distinct stages of this transformation, along with their underlying influencing mechanisms, remain ambiguous. Drawing on dynamic capabilities, this paper delves into the inherent mechanism of corporate green innovation based on the data of listed companies in the Chinese manufacturing industry. The study reaches the following conclusions: (1) The driving process of digital transformation in green innovation exhibits distinct stage characteristics. Digital transformation significantly enhances the quantity of green innovation in the steering period and has a significant impact on both the quantity and quality of green innovation in the shaping and upgrading periods. Moreover, the shaping period has a stronger impact on quantity, while the upgrading period has a stronger impact on quality. (2) There is an evident evolution and upgrading of dynamic capabilities as digital transformation progresses. Among these capabilities, adaptive capability plays a mediating role in the steering period, and innovative capability plays a mediating role in the upgrading period. (3) Top management teams’ environmental attention plays a positive moderating role in digital-transformation-driven green innovation by strengthening absorptive and innovative capabilities. This study reveals the cascading evolution of dynamic capabilities in the digital transformation stage, explores the synergistic effect of top management teams’ environmental attention and specific dynamic capabilities, and provides management strategies for the “quantitative growth and qualitative enhancement” of corporate green innovation.

Exploring supply chain infrastructures for supply chain innovation: the roles of supply chain transformational leadership, supply chain collaboration and entrepreneurial emphasis

ABSTRACT Supply chain (SC) innovation is crucial for organisations to gain competitive advantage, limited research has investigated the core factors that facilitate member participation in SC innovation practices. Drawing on the ‘Context – Drivers – Sources of advantage – Positional advantage’ framework, we posit that SC transformational leadership, as a SC organisational infrastructure, is a critical driver of SC innovation. SC collaboration as a key inter-organisational infrastructure, is a source of advantage, explaining the effect of SC transformational leadership on SC innovation. We also examine the boundary condition that maximise the effectiveness of SC transformational leadership and SC collaboration, demonstrating the driving role of entrepreneurial emphasis. Based on survey data from 288 Chinese machinery manufacturing firms, we utilised structural equation modeling and interaction analysis to validate our hypotheses. The research findings provide empirical evidence supporting our viewpoints, contributing to the existing literature and offering practical guidance for firms’ SC innovation management practices.

Innovations in daily commuting - what types of solutions are competitive? European case study.

Innovations drive dynamic changes in daily commuting especially in functional urban areas (FUAs), where transport systems are developed. Innovative solutions are being tested in FUAs, and they not only pose an alternative to conventional transport systems, but can also revolutionize daily commuting in cities. The main aim was to classify the innovation drivers identified in literature and to determine their impact on travel behaviour (TB) in FUAs with a use of expert survey. The following research hypothesis was examined: the level of innovation utilization in daily commuting and its impact on TB is similar in countries with similar levels of economic development. The survey results were processed to (1) create a ranking of innovations in TB in European OECD countries and (2) group countries based on similarity in prioritizing innovations influencing TB, using Ward hierarchical clustering method. As a result, innovative factors were comprehensively identified and classified in six categories.

Drivers of innovation in infrastructure development projects: A configurational analysis of boundary spanning roles

Innovation can provide new opportunities to improve project efficiency. However, enabling innovation is challenging, especially in public infrastructure development projects. Several impeding factors, such as limited contractual incentives and complexity, are prevalent in contract-based collaborative environments. Literature suggests that boundary spanners play an important role in driving innovation by seizing opportunities. This study aims to identify configurations of boundary spanning roles in typical project situations— varying in contract type and complexity— to facilitate innovation. The empirical data is from 58 projects and analyzed using fuzzy-set Qualitative Comparative Analysis (fsQCA). Results show that depending on the project conditions in terms of contract type and complexity, different combinations of boundary spanning roles can be taken up by project managers or other team members to facilitate innovation. This study highlights that in high-complexity situations, boundary spanning roles play a critical role in maintaining good relationships with collaborators, which is instrumental in developing innovation.

Research Project Topic Recommender System Using Generative Language Model

Education has become a driver of a person's continuous innovation to improve their quality. Currently, the use of artificial intelligence determines progress in education. In this research, artificial intelligence technology was applied to develop a web-based recommendation system to help students at the Faculty of Computer Science, Klabat University, choose appropriate research topics for their final assignments. To provide personalized and contextually relevant suggestions, the recommendation system leverages deep learning and generative language models, specifically GPT-3. The Rapid Application Development process model is employed to develop the system. Its key components include semantic search, rapid engineering, and an advanced vector database for effective data management and retrieval. The functions provided by the system include user account registration, login, input of major subject grades and research preferences, and personalized recommendation results. Some additional features such as profile management, previous recommendation history, and password reset options are also provided. All these functions have been tested using the black box method.

THE IMPACT OF FINANCIAL POLICIES ON PROMOTING THE DEVELOPMENT OF GREEN INNOVATION

This research investigates the factors influencing the development of green patents and their implications on green innovation. Green financing has the purpose of funding environmental initiatives by directing capital from financial institutions to eco-friendly projects. Through a review of existing literature and empirical analyses, we identify the influence of financial variables and economic policy strategy as key contributors. Preliminary findings suggest that these factors significantly impact the prevalence of green patents, highlighting the importance of policy and financial decisions in fostering environmentally sustainable technological advancements. Our findings reveal a positive correlation between environmental R&D expenditure and green innovation. Moreover, venture capital emerges as a significant driver of green innovation, facilitating the development of environmentally conscious solutions by mitigating financial risks. Additionally, the stringency of environmental policies and the presence of green bonds and carbon taxes demonstrate positive associations with green innovation. Consequently, the main objectives of this article are to examine the impact of financial policies such as R&D, Venture Capital, Debt financing and environmental regulations on the development of green patents and innovation as well as investigate the relationship between green bonds, carbon taxes and green innovation. Ultimately, this research contributes to the ongoing discourse on sustainable development, offering a nuanced understanding of the dynamics driving green innovation.

Digital economy and fiscal decentralization: Drivers of green innovation in China

The impact of government behavior under a fiscal decentralization system on the interplay between the digital economy and both the quality and efficiency of green innovation poses an intriguing question. To address this, the present study employs two-way fixed-effects models, instrumental variables, and spatial econometric techniques, using data from 30 provinces and cities in China spanning 2004 to 2019. The findings reveal that the advancement of the digital economy significantly enhances the quality and efficiency of green innovation. In the context of China's fiscal decentralization, local governments frequently employ a “race to the top” strategy, amplifying the digital economy's beneficial impact on green innovation. This effect is particularly pronounced in economically prosperous regions that prioritize environmental assessments. Additionally, the study identifies a spatial demonstration effect, indicating that fiscal decentralization bolsters the digital economy's influence in adjacent regions. Consequently, policy recommendations include deepening the digital economy, advocating for increased fiscal autonomy for local governments, refining the performance appraisal systems for local officials, and establishing a well-calibrated environmental transfer mechanism. Further, leveraging the positive spatial correlations among local governments can foster a competitive yet collaborative landscape for green innovation.

Biological engineering as a driver of innovation: implications for the economy

Biological engineering as a driver of innovation: implications for the economy

THE MEDIATING ROLE OF ENVIRONMENTAL KNOWLEDGE SHARING ON THE IMPACT OF GREEN LEADERSHIP ON INNOVATION IN VIETNAMESE SMALL AND MEDIUM ENTERPRISES

With environmental sustainability gaining significance, firms require green leadership to drive the adoption of eco-innovations through appropriate culture-building. This quantitative study uses upper echelons theory to analyze green innovation levels in Vietnamese small and medium enterprises (SMEs) and to assess intermediary mechanisms that transmit strategic leaders’ influence. Results of partial least squares structural equation modeling (PLS-SEM) provide strong empirical support for the hypotheses that environmental knowledge sharing practices mediate the impact of green leadership behaviors on higher performance in green product and process innovation. Specifically, knowledge exchange through cross-functional collaborations and external partnerships explains the effect of leadership. Findings respond to calls for research on green innovation drivers in emerging markets such as Vietnam, where institutional pressures for ecological responsibility remain underdeveloped. Furthermore, identifying actionable transmission mechanisms informs policy guidelines regarding interventions necessary to nurture sustainable innovation. This study offers multi-level theoretical and practical contributions.

Elevating Your Business: Insights from Successful Entrepreneurs in Bangladesh

Entrepreneurship is increasingly recognized as a vital driver of economic growth and innovation. In today's dynamic business environment, strategic thinking and entrepreneurial acumen are indispensable for navigating challenges and capitalizing on opportunities. This paper delves into the journeys of five successful entrepreneurs in Bangladesh, shedding light on their strategies for scaling up businesses and achieving remarkable success. The primary objective of this research is to elucidate the strategic pathways employed by successful entrepreneurs in Bangladesh to elevate their businesses from modest beginnings to thriving enterprises. By analyzing the experiences of these entrepreneurs and integrating them with existing strategic entrepreneurship models, the study aims to develop a comprehensive framework that captures the essence of entrepreneurial success. This research adopts a qualitative approach, drawing on case studies of the five entrepreneurs and a thorough review of existing literature on strategic entrepreneurship. Thematic analysis is utilized to identify common patterns, key factors, and critical elements contributing to business growth and success. The existing strategic entrepreneurship model is then refined and augmented based on insights gleaned from the entrepreneurs' experiences. The findings reveal significant commonalities among the entrepreneurial journeys, including the importance of determination, resourcefulness, value creation, and continuous improvement. The newly developed model synthesizes these insights, providing a structured framework for aspiring entrepreneurs to scale up their businesses strategically. In this study underscores the pivotal role of entrepreneurial Mindset and strategic decision-making in driving business success. The proposed model offers actionable insights for entrepreneurs and policymakers seeking to foster a conducive environment for entrepreneurship and economic development. By leveraging the strategic pathways outlined in the model, entrepreneurs can navigate the complexities of business growth and achieve sustainable success in today's competitive landscape.

Industry and regional peer effects on company innovation

Innovation is crucial for business development and economic growth. This study examines the significance of industry and regional peer effects on company innovation, the underlying motivations, and their economic consequences. We find industry and regional peer significantly affects company innovation. Instrumental variables method is used to confirm the robustness of the findings. We also find that rivalry-based imitation is the key driver of innovation among peers. Further analysis reveals that these peer effects enhance companies’ total factor productivity. The peer effects, driven by rivalry-based imitation, positively influence the focal companies. This study expands the scope of factors influencing company innovation and enriches understanding of peer effects.

Bioeconomic innovations breeding more sustainable innovations: A value chain perspective from Argentina

AbstractInnovations are crucial for the transition to a sustainable bioeconomy. They are embedded in and linked to complex value chains, but these interrelationships have not received much attention in the empirical literature yet. Using current typologies of four bioeconomic innovation types and six value chain models, this case study analyzes detailed data from 11 companies in Argentina to identify the drivers of sustainable innovations, their linkage to different value chain characteristics, and the main innovation types. The results show that certain factors such as supply and demand, interindustry cooperation and R&D, diversification strategies, personal values and the search for sustainable solutions particularly shape certain types of innovation. The structure and governance of the value chains influence the type of sustainable innovation. Innovations take place at different levels, and in succession, they complement each other and can thus make the bioeconomy more sustainable. Therefore, appropriate policies to promote the bioeconomy in Argentina and beyond should consider the type of value chains and specific innovation systems involved.

Implementation of Scrum in the manufacture of non-invasive blood sugar detection devices using PPG signals

This study presents the effective integration of Scrum methodology in the production process of non-invasive blood sugar testing devices using Photoplethysmography (PPG) signals. During three months, a team consisting of a Product Owner, Scrum Master, and Developer Team successfully utilized Scrum's agile structure to manage the challenges of PPG signal processing, hardware integration, and software development. The repeated sprint cycles enabled swift adjustment to new obstacles and stakeholder input, guaranteeing both effectiveness and agility in the development process. The dynamic approach facilitated both the punctual delivery of complex medical equipment and the cultivation of a culture focused on ongoing enhancement, establishing a model for the future use of agile approaches in healthcare technology. The successful implementation highlights the effectiveness of Scrum in managing the complexities of medical device development. It provides a model for improving non-invasive blood sugar detection devices and establishes agile methodologies as a key driver of innovation in healthcare technology.

Exploring critical drivers of global innovation: A Bayesian Network perspective

This study adopts a Bayesian Belief Network (BBN) methodology to explore relationships among innovation indicators within the Global Innovation Index (GII) framework using 2023 data. The analysis identifies 'research and development’, 'online creativity’, and 'knowledge creation' as pivotal factors influencing innovation outcomes. The BBN model demonstrates a predictive accuracy of 90.9%. For high-performing countries, 'information and communication technologies’, 'regulatory environment’, and 'education' are critical, whereas 'investment' shows a low performance in driving innovation excellence. In low-performing countries, 'innovation linkages' and 'research and development' are strongly associated with the low innovation performance of these countries. Sensitivity analysis highlights 'knowledge workers’, 'online creativity’, and 'institutional environment' as significant drivers, illustrating the complex nature of innovation dynamics. This study enhances our understanding of innovation within the GII framework and offers actionable insights for policymakers and stakeholders. Existing methods often rely on simplistic linear models that fail to capture the complex interdependencies among innovation indicators. This study addresses this limitation by leveraging the BBN approach to provide a better understanding of innovation dynamics.

IT as a driver of R&D processes and strategic renewal

Recent advancements in information technology are profoundly impacting a variety of business functions across different industries. R&D and strategic renewal, as critical drivers of organisational innovation, are particularly influenced by these tectonic shifts in the technological landscape. In response, there has been a growing interest among business academics and practitioners in understanding how these technologies can be leveraged to maximise benefits and foster the creation of new value in organisations. This editorial paper proposes a moderated mediation model that provides a comprehensive view of the connections between IT‐related antecedents and outcomes in R&D, strategic renewal, and innovation performance. Through this model, we elucidate the pathways through which IT impacts organisational processes and identify key areas for future research. Additionally, we introduce six papers published in this special issue that explore these themes across various contexts, contributing to the discourse on the strategic implications of IT in digital transformation and business sustainability.

India's Digital Transformation: Opportunities and Challenges in the Digital Economy

India's digital transformation has emerged as a critical driver of economic growth, innovation, and social development. This paper explores the opportunities and challenges presented by India's digital economy. With the government's Digital India initiative and the rapid adoption of digital technologies, India stands at the forefront of global digital innovation. However, challenges such as digital divide, cybersecurity threats, and regulatory complexities pose significant hurdles to realizing the full potential of India's digital transformation. By analyzing current trends, identifying key opportunities, and addressing challenges, this study aims to provide insights into India's digital economy and its impact on various sectors.

Future research directions of information technology investment: a systematic literature review

Research aims: This study aims to conduct a systematic literature review on IT investment to answer the following research questions: 1) What are the current trends and future research directions in IT investment research? 2) What are the benefits and challenges of IT investments?Design/Methodology/Approach: The authors collected 57 published articles from the Scopus database and analyzed them using a hybrid approach that integrates the principles of structured review and bibliometric analysis.Research findings: Four current research trends have been observed in information technology investment: (1) IT investment, (2) sustainability development, (3) costs, and (4) profitability. The benefits of IT investment have become the primary driver of innovation, profitability, competitiveness, and performance within a business. IT investment has a negative effect in a stable environment, and companies with low levels of IT investment may be forced to choose between expanding revenue and reducing expenses.Theoretical contribution/Originality: This study used a structured literature review and bibliometric analysis. The authors present a new method of reviewing literature that provides a more focused and comprehensive view of future research.Practitioner/Policy implication: Three practical contributions are provided: (1) identifying trends and directions of IT investment research, (2) revealing the benefits and challenges of IT investment, and (3) integrating the principles of structured review and bibliometric analysis.Research limitation/Implication: It only used data from the Scopus database, which may not encompass all relevant articles on the topic of IT investment. Additionally, the study only selected articles written in English, potentially overlooking articles written in other languages. There is also a potential subjectivity in the content analysis process and in naming each cluster.