Successful Innovation Research Articles

The Role of Information Technology and Trust Culture in Knowledge Transfer to Local Employees: A Systematic Literature Review

Knowledge transfer is a crucial process for foreign construction companies operating in diverse cultural and operational environments. Effective knowledge transfer to local employees enhances productivity, innovation, and long-term project success. This study explores the role of Information Technology (IT) and Trust Culture in facilitating knowledge transfer to local employees through a Systematic Literature Review (SLR) approach. Relevant studies from reputable databases (e.g., Scopus, Web of Science, and ScienceDirect) were analyzed systematically. Findings reveal that IT plays a significant role in streamlining communication, documentation, and knowledge sharing, while trust culture fosters collaboration and reduces resistance to knowledge absorption. The interplay between IT and trust culture creates an environment conducive to seamless knowledge transfer. This study contributes to the understanding of how organizations can optimize IT infrastructure and build trust culture to enhance knowledge-sharing processes. Future research directions and practical recommendations are also discussed. Keywords: Knowledge Transfer, Information Technology, Trust Culture, Local Employees, Systematic Literature Review, Foreign Construction Companies

The Influence of External Drivers on Collaborative Innovation

Collaborative innovation has become a critical strategy for enterprises navigating the complexities of modern technological development. This study examines how external drivers can be adjusted to foster and enhance collaborative innovation. Foucusing on key factors such as government support, market competition, and intellectual property protection, the research highlights their impact on the success of collaborative innovation. Drawing on qualitative research and case analysis, this study identifies challenges such as market failure, resource allocation inefficiencies, and risks of knowledge leakage. The findings reveal that government policies, financial assistance, and fostering an innovation ecosystem significantly enhance collaborative efforts, while robust intellectual property protection bolsters confidence in knowledge sharing and commercialization. Additionally, the study highlights the importance of cultivating a collaborative culture within enterprises, supported by clear objectives, talent development, and ethical practices. This research offers actionable insights for optimizing external drivers to maximize the benefits of cross-organizational innovation, contributing to a more sustainable and efficient innovation ecosystem.

The Impact of Green Technology Innovation, Pro-environmental Behavior and Eco-Design on Green New Product Success: Examine the Moderating Role of Green Corporate Image

Abstract Environmental consciousness has grown, and businesses have been increasingly compelled to adhere to international treaties and regulations. The present study posits that eco-design, green technology and pro-environmental behavior impact the success of new green products by utilizing green process innovation and green product innovation as mediators, with green corporate image serving as a moderator. Furthermore, this study underscores the important of building a positive green corporate image to enhance the effectiveness of sustainable initiatives in the textile sector. Data for the present study were collected from 756 individuals in top, middle, and low-level management positions in various textile sectors operating in Pakistan, using a standardized questionnaire and appropriate sampling strategy for empirical investigation. Data were analyzed using Smart PLS. The results of this study demonstrate that eco-design, green technology and environmentally conscious behavior positively influence a company's performance with new products. Green process innovation also mediated the relationship between eco-design, green technology, and pro-environmental behavior and a company's success with new products. Additionally, the data reveal that a green corporate image moderates the link between green product innovation, green process innovation, and an organization’s performance with new products. The research also indicates that green product innovation does not attenuate the link between a company's eco-design process and the success of new green products. The current study has significantly implications for management, theory, and practice, as it contributes to the existing literature with empirical research on green technology innovation, pro-environmental behavior, and organizational success in developing new products.

Effects of behavioural types on the problem‐solving performance of wild house mice under controlled and semi‐natural conditions

Animals often face challenges that require them to come up with solutions to novel problems or to find new solutions to existing ones; i.e. they need to innovate. However, not all individuals in a population are equally likely to solve novel problems, and it is unclear which individual characteristics make a successful innovator. Theoretical frameworks suggest the importance of intrinsic (e.g. individual characteristics) and extrinsic (e.g. study condition) factors on problem‐solving performance. Such frameworks have been empirically tested in model, highly neophobic species, leaving the generality of these processes unclear. We examined whether behavioural traits such as exploration and risk‐taking are linked to problem‐solving behaviour, using two replicated populations (n = 121) of wild house mice Mus musculus domesticus living under semi‐natural conditions. There, we presented a battery of four problem‐solving setups that individuals could access voluntarily, and we tested the mice for risk‐taking and exploration. Furthermore, after acclimatising to cages, we tested a subset (n = 50) of the same individuals in controlled conditions, to validate the cross‐context stability of cognitive performance and potential influences of behaviours. We placed single individuals overnight in arenas containing another four novel problem‐solving setups. Contrasting most existing literature, we found no direct effects of behavioural type on the likelihood to problem‐solve in either condition. However, there was an indirect effect, with shyer individuals visiting the problems more, which improved their likelihood of solving them. Additionally, mice were more likely to solve alone, and individuals were not consistent across conditions. Our findings suggest that exploration and risk‐taking do not affect the ability to problem‐solve across different conditions, but impact the non‐cognitive steps that lead to the final performance. Also, individuals did not perform consistently across conditions, questioning the ecological validity of measures taken under controlled, artificial conditions when they do not reflect the animals' natural experience.

Assessing the Impact of Key Marketing Variables on the Diffusion and Commercial Success of Technological Innovations

An all-inclusive profit-maximizing methodology for optimising the cost of selling and warranties term of technical improvements is presented in this research. In order to reduce warranty expenses and maximise product dependability, the model combines preventative maintenance tactics. To predict consumer actions, we use a two-dimensional diffusion of innovations framework that accounts for the impact of pricing and time on uptake rates. The distribution calculated by Weibull is used to simulate breakdown rates, taking into consideration the effect of routine upkeep on lowering the cost of repairs and systems deterioration. While making sure that supply and demand are met, profit management incorporates important cost factors such as manufacturing costs, structural expenses, costs for warranties, and servicing charges. To help manufactures maximise profits, the suggested methodology offers an ordered approach to determining the appropriate guarantee periods and marketplace prices. Validating the theory's practicality and demonstrating large profit benefits via optimum decision-making are computational optimisation methods and instances, such as repaired semiconductors. Variables like as warranties duration as well as service level have a significant influence on economic viability, as shown by sensitivity analysis. Organisations seeking to increase customer happiness, guarantee fiscal viability, and gain edge over competitors in ever-changing marketplaces might find useful insights in the profit maximisation approach, which combines sales methods with technological dependability approaches. The accuracy of Profit Maximisation Model approach is far much higher that of LR, DT, and RF by a margin of around 96.5%. This work suggests that the proposed approach improves the conventional algorithms with respect to prediction accuracy and error minimisation. This is true as evidenced by its exceptional performance on different parameters to demonstrate its reliability and coherence in delivering excellent results.

Impact of capacity building through learning, training, and coaching on agricultural innovation.

Successful innovation requires employees to have intellectual and technical capacity. This study explored the effects of capacity building through educational learning, organizational training, and coaching on agricultural innovation. A sample of 142 operational-level agriculture scientists working within a public sector agricultural research organisation in Zimbabwe. Six key informants were also consulted. Descriptive statistics, factor analysis, principal component analysis (PCA), correlation analysis, and binary logistic regression analysis were employed. Results showed significant positive relationships between the variables stating that operational scientists receive adequate academic study opportunities from the research organisation and the one stating that they have relevant academic qualifications to help drive agriculture innovation (r = 0.421***). This reflects that once capacitated through educational learning, the employees gain the confidence and ability to innovate, which could be attributed to improved intelligence quotient (IQ). A significant positive relationship was also observed between the variables, stating that research employees required further training and that improving training would significantly improve innovation (r = 0.47***). Lastly, the variables, stating that direct supervisors offer adequate guidance to stimulate innovation positively correlated to the one stating that coaching has helped improve the operational staff's innovativeness (P = 0.493***). This implies that efforts being put in by supervisors significantly contribute to innovation. Budgetary constraints were the leading challenge mentioned by 90.1% of the sample. Notably, there is a critical need to improve physical training workshops, exposure visits, and short courses to enhance innovativeness, as revealed by more than 70% of the respondents. The study also suggests cost-effective strategies to enhance capacity building and consequently stimulate innovation.

Manufacturing innovation for Industry 4.0: an innovation capability perspective

PurposeThe number of small and medium-sized manufacturing companies that have successfully embraced the digital transformation envisioned by the Fourth Industrial Revolution (Industry 4.0) remains low. This paper argues that one reason is the significant innovation required in manufacturing systems to undergo such a transformation. This innovation demands capabilities vastly different from those traditionally employed for continuous improvements in manufacturing systems. The conventional development of manufacturing systems emphasizes resilience, robustness, and efficiency, typically thriving in stable and predictable conditions. However, developing a manufacturing system under highly complex and unpredictable circumstances requires new capabilities. We term this “manufacturing innovation”. At this stage, learning from successful cases is a valuable step towards unifying scattered evidence and developing coherent knowledge of how SMEs successfully do manufacturing innovation in the context of Industry 4.0.Design/methodology/approachWe conducted a multiple case study involving seven small and medium-sized Danish manufacturing companies to investigate successful manufacturing innovation in the context of Industry 4.0. Cross-case analysis identified four critical propositions regarding the capabilities contributing positively to manufacturing innovation.FindingsThe research findings highlight various capabilities for successful manufacturing innovation in the context of Industry 4.0. They suggest that such significant digital transformation of manufacturing systems begins with radical innovations in enabling processes rather than core processes. A flexible approach facilitates it, often operationalized through iterative methods. Moreover, the accumulation of knowledge from previous manufacturing innovation initiatives forms a foundational basis for strategically approaching Industry 4.0, suggesting that experience in manufacturing development generally enhances the capacity to adopt Industry 4.0 technologies effectively.Research limitations/implicationsThe results underscore the need for viewing digital transformation towards Industry 4.0 as a manufacturing innovation process, which relies on significantly different organizational capabilities than those supporting continuous manufacturing development. This insight has two implications for research in this domain; (1) Innovation process models must be developed to support radical systemic innovation, gradual learning and agile processes in manufacturing, and (2) Industry 4. 0 technologies enable new potential, but the actualization of this potential is dependent on organizational competences.Practical implicationsThe findings also offer several practical implications. Identifying patterns of best practices provides much-needed inspiration and insight into how manufacturing innovation for Industry 4.0 may be approached. While we agree with studies showing that competencies are one of the biggest challenges for companies to get started, our results also suggest that by using a flexible approach, companies can build competencies gradually and as needed, which can yield the right results over time. Furthermore, the findings suggest that a specific starting point for manufacturing companies may be enabling processes rather than core processes. This new understanding of the types of solutions companies manage to progress with may suggest that the technologies here are more mature or that there is greater motivation to get started. This implication is supported by the result that a long-term strategy is needed, but that it must be operationalized into smaller solutions to avoid biting off more than they can chew initially. While other researchers have also pointed this out, we provide a deeper understanding of why it is necessary and how it can be operationalized.Originality/valueThe article is one of the first to make a qualitative study on multiple cases to understand how manufacturing companies successfully introduced manufacturing innovation for Industry 4.0.

Human Resources Management and Creative Talent Management through Wise Leadership: Suggested Framework

The study delves into the critical linkage of Human Resource Management, creative talent management, and wise leadership in driving innovation, creativity, and long-term organizational success through an integrated holistic approach. The paper develops a complete theoretical framework, synthesizing secondary data through, among others, peer-reviewed academic articles and case studies, adding the authors' professional experiences of the last twenty years in a manner that aligns the goals of the organization with the HR practices while maintaining nurturance for creativity and wise leadership. The research points out the important lacuna in the existing literature, which has been dealing with HRM, creative talent management, and leadership in isolation, hence fragmented. The findings indicate that an integrated approach is imperative, especially in innovation-intensive sectors like academia, technology, and media. This may call for a paradigm shift in viewing HRM as being proactive enough to develop innovation and employee-empowerment initiatives. Although based on secondary data, the study makes a valuable theoretical contribution with practical recommendations for the organizational adoption of HRM strategies that foster sustainable creativity. It pinpoints several implications for both social and institutional contexts and calls for further research in order to explore these concepts in diverse organizational and cultural settings

INNOVATIVE STRATEGIES FOR MANAGING ENTERPRISE COMPETITIVENESS IN THE CONTEXT OF GLOBAL MARKET CHANGES

In the context of global market changes and technological innovations, the question of rapid adaptation to a transformational environment arises, where technological, social, and economic factors are constantly evolving, creating new challenges and opportunities for business and management. The article elucidates the definition of innovative strategies for managing enterprise competitiveness, which examines the approaches and methods that enable companies to effectively maintain and enhance their competitiveness amid rapid changes and new market challenges. The concepts of competitive advantages and success factors of innovative competitiveness strategies are differentiated. The article explores contemporary innovative competitiveness management strategies, including: product innovation development, technological leadership, digital transformation, agile management, collaboration and partnerships, customer orientation, market expansion, and sustainable development and ESG strategies. Real case studies analyze successful innovative business strategies. The experience of well-known companies demonstrates how different companies effectively use innovative strategies to enhance their competitiveness in the global market. Success factors of innovative competitiveness strategies are identified as key elements that determine the effectiveness of a company's operations and its ability to achieve strategic goals and maintain competitive advantages. Key success factors include: investment in research and development, digital technologies, adaptability and flexibility of business models, integration of sustainability and social responsibility principles, global diversification of products and markets, partnerships and strategic alliances, customer orientation, innovation culture, analysis and utilization of big data (Big Data), effective supply chain management, and optimization of marketing campaigns. Innovative success factors for competitiveness strategies ensure effective entry into international markets, adaptation of products and services to different cultural and regional needs, and contribute to business expansion and profit maximization.

Review of Geomatics Solutions for Protecting Cultural Heritage in Response to Climate Change

In the context of an increasing risk to cultural heritage due to climate change, this review explores and analyzes different geomatics techniques to efficiently monitor and safeguard historical sites and works of art. The rapid succession of technological innovations relating to the production of 3D models and the growth in recent years of the risks to which monumental heritage is exposed poses an all-round reflection on the prospects for the development and refinement of the disciplines of geomatics. The results highlight that geomatics techniques certainly improve data collection and the assessment of risks associated with climate change, also supporting geospatial-based decisions aimed at managing vulnerable cultural sites. The field of digital goods represents, in fact, one of the sectors where it is not possible to centralize knowledge in a single figure, instead postulating a synergistic interaction between different knowledge and techniques. Referring to the national framework, the distinction between protection and enhancement also involves us for both aspects, combining the more consolidated use of digital heritage for cognitive purposes and for the preparation of restoration projects. The study concludes by exploring possible future directions, emphasizing the need for interdisciplinary collaboration and the creation of effective guidelines and policies for the preservation of cultural heritage. Finally, the growing interest in this field in artificial intelligence and, in particular, machine learning is underscored.

Enhancing the development of technology and partnership-based business incubator models in indonesia: the role of human resource availability, industry connections, and access to finance

This study aims to analyze the development of technology and partnership-based business incubator models in Indonesia is the subject of this study, which focuses on the importance of relationships with industry, the availability of funds, and the availability of human resources. Using a quantitative approach, with a random sampling technique of 300 samples representing start-ups and business incubators in various industries and regions in Indonesia, the study was analyzed using Structural Equation Modeling with Partial Least Squares (SEM-PLS) 4. The findings show a strong correlation between human resource availability and technological advancement, industry ties and partnership-based business models, and startup growth and financing availability. These results highlight how innovation and entrepreneurial success in the Indonesian ecosystem can be encouraged by investing in human capital, fostering collaboration among industry stakeholders, and building a climate that supports startup financing.

Critical edge: shaping the future of skills management for organizational success

Purpose Organizations face increasing pressure to optimize their human capital management strategies in today’s competitive business environment. As the nature of work evolves, the ability to identify, develop and leverage critical thinking skills has become paramount for organizational success. The purpose of this paper is to introduce the Critical Edge Skills Framework (CESF), a novel approach to skills management that focuses on the cognitive demands of various roles within an organization. Design/methodology/approach The CESF provides a structured method for categorizing skills based on the level of critical thinking required and the nature of the work involved. By adopting this framework, organizations can better align their talent acquisition, development and succession planning strategies with the cognitive demands of different roles, ultimately driving strategy execution, innovation and competitive advantage. Findings The CESF represents a significant advancement in how organizations approach talent acquisition, development and succession planning. By adopting this framework, organizations can better understand the cognitive demands of various roles, align talent with the appropriate level of critical thinking and ensure that employees are well-suited to the nature of their work, whether it involves designing or executing tasks. Originality/value This paper’s skills taxonomy: provides a clear progression of cognitive abilities, from foundational skills to leadership and transformational thinking, allowing organizations to better understand critical thinking development; helps organizations identify the cognitive abilities required for different job roles, enabling more targeted and cost-effective talent acquisition, training and development; emphasizes the importance of higher-order thinking skills, which are crucial for driving innovation and organizational success; aligns with common educational frameworks, ensuring that graduates possess the critical thinking skills required by the modern workforce; and clarifies skill requirements, making it more manageable to determine the most suitable production resource for specific tasks. This optimizes the use of organizational resources and enhances productivity.

Facilitating Individual Innovation from the Perspective of Social Network Ties: A Fuzzy‐Set QCA Approach

ABSTRACTPursuing successful innovation poses a significant challenge for employees, as generating creative ideas does not guarantee final innovation outcomes (i.e., products). To enrich our understanding of the critical factors that contribute to the success of transforming creative ideas into innovation outcomes, drawing on the social network perspective and configuration theory, we utilize the fuzzy‐set qualitative comparative analysis (fsQCA) approach to identify how different social network tie configurations facilitate various stages of individual innovation, including idea generation and idea implementation. Through a survey of 216 R&D employees in China, we have identified four pathways with distinct configurations that promote high levels of idea generation and three pathways that facilitate high levels of idea implementation. This work contributes to developing a configurational strategy for facilitating individual innovation from the perspective of social network ties, thus shedding light on how employees might successfully traverse different stages of the innovation journey.

HPR90 Interim Access in Scotland: Successful Innovation or a Cautionary Tale?

HPR90 Interim Access in Scotland: Successful Innovation or a Cautionary Tale?

Role of the Bridge Maker in Innovation Ecosystems

This research explores the crucial role of bridge makers in fostering the success of open innovations within innovation ecosystems. Emphasizing governance structures, this study highlights the importance of creating synergies among participants through effective intermediaries. Bridge makers act as connectors, facilitators, and integrators, crucial for fostering collaboration among diverse stakeholders, aligning interests, and overcoming barriers to innovation. By integrating the bridge maker role into ecosystem strategies, stakeholders can ensure that the connections formed are not only numerous but also robust, inclusive, and capable of driving long-term innovation and collaboration. Given the fragmented nature of recent literature on the role of bridge makers, and the various terminologies used to describe similar roles, this research aims to provide a clear definition and comprehensive understanding of the bridge maker's role. The objective is to analyze different aspects and names attributed to this role within the context of innovation ecosystems. This paper concludes by discussing future research avenues that can build on the developed role typology, shedding further light on the process of open innovation ecosystem genesis. By incorporating the bridge maker role into the various ecosystem models, this research suggests that enhanced connectivity and synergy can be achieved, benefiting the entire ecosystem.

An Approach for Modeling and Simulation of Virtual Sensors in Automatic Control Systems Using Game Engines and Machine Learning.

We live in an era characterized by Society 4.0 and Industry 4.0 where successive innovations that are more or less disruptive are occurring. Within this context, the modeling and simulation of dynamic supervisory and control systems require dealing with more sophistication and complexity, with effects in terms of development errors and higher costs. One of the most difficult aspects of simulating these systems is the handling of vision sensors. The current tools provide these sensors but in a specific and limited way. This paper describes a six-step approach to sensor virtualization. For testing the approach, a simulation platform based on game engines was developed. As contributions, the platform can simulate dynamic systems, including industrial processes with vision sensors. Furthermore, the proposed virtualization approach allows for the modeling of sensors in a systematic way, reducing the complexity and effort required to simulate this type of system.

The importance of product innovation in maintaining a competitive advantage

Product innovation is crucial in creating and sustaining a competitive advantage for companies. Companies can differentiate themselves from competitors by constantly improving, introducing new products, and appealing to customers. The success of product innovation depends not only on how new the product is but also on its quality and Price. Therefore, the relationship between product innovation, Price, and quality is vital for creating and maintaining a competitive advantage. This study analyzes the relationship between product innovation and (price, quality) with a sustainable competitive advantage, the data shows that there is an effective and positive relationship between product innovation and price, quality. Additionally, we collected data through forum questionnaires and analyzed it using the multiple regression method, and We used SPSS version 25 for assistance in data analysis. So, the study can analyze the influence of the independent variables (product innovation) on the dependent variable (sustained competitive advantage). After analyzing the data, it was found that process innovation, product innovation, Price and quality positively impact sustained competitive advantage. The results also indicate that these three independent variables significantly affect the dependent variable.

Resilient Regional Labour Markets as Triggers of Innovation Success during Crises: Perspective of EU Innovation Leaders

Resilient Regional Labour Markets as Triggers of Innovation Success during Crises: Perspective of EU Innovation Leaders

Urban Rail Transit in China: Progress Report and Analysis (2015–2023)

AbstractThe urban rail transit (URT) system in China has undergone development spanning over 50 years. In the period from 2008 to 2015, numerous URT lines were under construction. After 2015, an increasing number of cities have transitioned to multi-line network operations, with greater emphasis on system efficiency and passenger service. This transition has been accompanied by numerous successful innovations and applications aimed at enhancing system intelligence and automation. This paper provides a review of operational statistics based on annual reports, successful operational practices, and industry development characteristics over the past decade in mainland China. Additionally, suggestions and trends for the further development of URT in China are proposed.

Examining the Effects of Industry 4.0 Adoption, Information Acquisition Capability, and Organizational Ambidexterity on Innovation and Circular Economy Performance

ABSTRACTRegulatory authorities are putting a lot of pressure on manufacturers to devise strategies to boost their contribution to the circular economy. The limited comprehension surrounding the complex interplay that exists between the deployment of Industry 4.0 (I4.0) strategies, the capability to acquire information, and the ability to balance exploration and exploitation activities within an organization acts as a barrier for manufacturers to attain the optimal levels of organizational performance. As a result, the purpose of the current investigation is to investigate the strategic execution of I4.0 on manufacturers' information acquisition capability in order to foster the ambidexterity required to flourish in the innovation‐driven high‐performance ecosystem for attaining circular economy performance. In this study, data from a cross‐sectional survey that included responses from a sample of 238 Indian manufacturers were assessed using structural equation modeling. According to the results, I4.0 technologies assist organizations in strengthening their exploitative and explorative capabilities, allowing them to achieve success in innovation, which is directly related to their performance in circular economy activities. Unexpectedly, the association between an organization's information acquisition capability and its innovation performance is not substantial, but it is completely mediated by both exploitative and explorative capabilities, which are characterized as organizational ambidexterity.