Innovative Companies Research Articles

Government subsidies and innovation in new energy vehicle companies: An empirical study of new energy vehicle listed companies based on Shanghai and Shenzhen A-shares.

The panel data of 50 new energy vehicle enterprises in Shanghai and Shenzhen A-shares from 2012 to 2021 are selected to empirically analyze the impact of government subsidies on the innovation of new energy vehicle enterprises and to further discuss the differences between such an impact in different forms and regions. The study finds that, first, government subsidies have a certain promotion effect on the innovation of new energy vehicle enterprises, and an inverted U-shaped relationship exists thereof. Second, at the enterprise level, government subsidies have a significant effect on the innovation of non-state enterprises, downstream vehicle enterprises, and enterprises with lower establishment years, and the inverted-U trend is evident. Third, at the regional level, government subsidies have a more significant effect on the innovation of enterprises in non-eastern regions and low-environmental regulation regions, and the inverted-U-shaped relationship trend is more apparent. The study establishes the nonlinear relationship between government subsidies and the innovation of new energy vehicle enterprises through empirical research, which expands the theory of enterprise innovation and has a certain guiding significance for improving the innovation capability of new energy vehicle enterprises in the future.

Корпоративна культура, орієнтація на клієнта, інновації як функції менеджменту та базові передумови ефективності бізнесу

Abstract. Introduction. The article examines customer orientation and innovation as components of corporate culture and management functionality. Purpose. The degree of orientation to the consumer, his involvement in the process of development and implementation of innovations, a realistic assessment of the management of the company's focus on the client are considered as the main factors influencing business efficiency. Results. Attention is focused on the interrelationships between the type of corporate culture, the degree of its innovativeness and customer orientation, on the one hand, and the innovativeness of products or services, on the other. Attention is paid to the analysis of research on customer orientation and innovativeness of companies operating in foreign markets, a certain systematization of the results of these studies is carried out. Consumers are considered as direct participants in the process of development and implementation of innovations at all its stages. The main consequences of insufficient customer orientation are analyzed - insufficient and excessive innovativeness of products and services. Since the second one manifests itself more in modern situation, a rather vivid illustration of it using the example of products of IT Companies is provided. Emphasis is placed on differences in assessments of client orientation of managers and consumers, overestimated self-esteem of management. Conclusions. Recommendations on strengthening the orientation of business structures on the client and balancing the level of innovativeness of products and services with the needs of the client are formulated: constant monitoring of the needs of consumers and clients; effective communication with them at all stages of development of innovative product ; "innovative enlightenment" for "pulling up" the consumers to the level of innovation of products or services. Implementation of these recommendations requires significant changes in corporate culture.

Capabilities for data-driven innovation in B2B industrial companies

Industrial companies are increasingly interested in innovating through data to develop solutions for customers' current and future needs. This study examines organizational capabilities for data-driven innovation (DDI) in the context of established industrial companies. Building on the prior innovation literature, resource-based view, and dynamic capabilities view, we conduct a qualitative study of technological and marketing capabilities in relation to DDI. Based on interview data from six multinational B2B companies, we find that even though technological capabilities are vital to DDI, five of the six examined companies struggle more with marketing capabilities in developing DDI. The research findings underline the central role of customer understanding and involvement in DDI, as well as the significance of the ability to articulate the DDI value proposition in a form that potential customers can grasp. The study contributes to our understanding of DDI as a phenomenon in the context of established manufacturing companies, and identifies key challenges for intangible data-driven innovations in this context.

Traversing the uncommon boulevard: entrepreneurial trajectory of decentralised autonomous organisations (DAOs)

ABSTRACT Blockchain technology has revolutionised the ownership structures and business models of young companies, leading to the emergence of new digital entrepreneurship in innovative digital companies known as decentralised autonomous organisations (DAOs). This study examines the influence of blockchain use on the entrepreneurial structure and business models of DAOs. Following an inductive approach guided by the underlying theoretical framework of a nonfungible token (NFT) enabled entrepreneurship and the token economy business model, we conducted a qualitative content analysis of /the whitepapers of 22 selected DAOs obtained from the DeepDAO platform. The results reveal that blockchain assists the growth of digital companies by decentralising their ownership structure and improving their value propositions through NFT and a smart contract-enabled consensus mechanism. However, market uncertainties and the non-liquidity of tokens were identified as significant barriers to implementing DAOs. Three propositions emerged from this study with meaningful contributions to the theory and practice of entrepreneurship.

Specific aspects of green innovation and its industrial implementation

Aim. The presented study aims to consider the relevance of research on green innovation in industrial companies using quantitative methods.Tasks. The authors systematize major approaches to the definition of the concept of green innovation; consider the correlation between modern theories of innovation and innovative deve lopment and the concept of green innovation; analyze scientific papers on green innovation in the field of economics, management, and business.Methods. This study uses the methods of literature analysis, quantitative data analysis, comparison, and classification.Results. Approaches to the understanding of green innovation are summarized. In particular, the authors propose their own interpretation of environmental, value, technological, and ESG approaches. A logical diagram of the relationship between ESG factors and the implementation of green innovation is presented along with the authors’ definition of this phenomenon, the distinctive feature of which is that it takes into account the revealed relationship.Conclusions. Quantitative assessment methods prove the high relevance of research on green innovation in the international community. At the same time, it is indicated that this interest is just beginning to emerge in Russian science. In conclusion, recommendations are proposed for increasing the scale of green innovation in Russian industry.

Digital Transformation and Corporate Environmental Green Innovation Nexus: An Approach towards Green Innovation Improvement

The impact of digital transformation on green innovation is widely discussed. However, existing studies mainly focus on the impact of the digital transformation of enterprises and fintech company development on environmental green innovation, while ignoring the effect of the digital transformation of commercial banks (DTCB) on corporate green innovation. Therefore, to fill the research gap, this paper explores the impact of DTCB on environmental green innovation in companies based on the data of listed companies from 2010 to 2019. This study finds that DTCB has significantly promoted enterprises’ environmental green innovation. Mechanism analysis shows that DTCB can promote green environmental innovation by increasing R&D expenditures and reducing agency costs. The heterogeneity analysis indicates that DTCB can only promote the green environmental innovation of private enterprises and enterprises with a high degree of digital transformation, but it cannot promote the green environmental innovation of state-owned enterprises and enterprises with a low degree of digital transformation. From the perspective of DTCB, this paper enriches the research on the relationship between digital finance and enterprise environmental green innovation. The government should promote the digital transformation of enterprises to utilize the green innovation effect of DTCB.

The corporate executive leadership team and its diversity: impact on innovativeness and sustainability of the bioeconomy

Senior executives have a major role in leading corporations both strategically and operationally. In large corporations, the executive team is leading through their respective organizations, ensuring that corporate strategy is executed efficiently and effectively. In addition, executive management plays the key role in shaping the culture and the values of the corporation. There exists a wealth of research conducted on executive management team dynamics and the success factors related to their performance. This study examines how diversity in executive management impacts the perceived innovativeness of companies. We compare the most innovative companies and the largest players in the bioeconomy. Currently, the bioeconomy has received a lot of attention as it is considered one of the industries associated with solving global societal and environmental challenges. However, it is not perceived as highly innovative and is considered to be lacking in diversity among senior executive teams. This study adds to the body of knowledge connecting innovation, diversity, and corporate leadership and highlights similarities and differences from diversity perspective related to the companies investigated.

Influence of corporate social responsibility in the Dominican mining sector: A comparative study of extractive and auxiliary industries

The mining sector has an enormous complexity generated by the management of economic, social and environmental factors. This leads us to study the behaviour of the mining sector in the Dominican Republic: CSR strategies, its relationship with extractive industry and business success based on competitiveness and innovation in this sector. At the same time, the role of CSR in auxiliary companies and its relationship with their performance, cooperation and competitiveness are analyzed.For this purpose, structural equations models are used. The results reveal that CSR favours the competitiveness and innovation of extractive companies, as well as their performance. For the auxiliary industry, CSR favours competitiveness, cooperation and performance. Among the practical applications we can highlight that companies should serve as tools for the development of the Dominican society, adhering to ethical, moral and fair principles. Therefore, mining companies are encouraged to establish CSR as a management model, since internal management in extractive companies can be used to improve their performance and competitiveness while introducing environmental management systems, as well as how to reinforce the productive chain through the strengthening of auxiliary companies, improving their technical capacities and increasing their profitability.

How machine learning changes Project Risk Management: a structured literature review and insights for organizational innovation

PurposeIn the current economic scenario characterized by turbulence, innovation is a requisite for company's growth. The innovation activities are implemented through the realization of innovative project. This paper aims to prospect the promising opportunities coming from the application of Machine Learning (ML) algorithms to project risk management for organizational innovation, where a large amount of data supports the decision-making process within the companies and the organizations.Design/methodology/approachMoving from a structured literature review (SLR), a final sample of 42 papers has been analyzed through a descriptive, content and bibliographic analysis. Moreover, metrics for measuring the impact of the citation index approach and the CPY (Citations per year) have been defined. The descriptive and cluster analysis has been realized with VOSviewer, a tool for constructing and visualizing bibliometric networks and clusters.FindingsProspective future developments and forthcoming challenges of ML applications for managing risks in projects have been identified in the following research context: software development projects; construction industry projects; climate and environmental issues and Health and Safety projects. Insights about the impact of ML for improving organizational innovation through the project risks management are defined.Research limitations/implicationsThe study have some limitations regarding the choice of keywords and as well the database chosen for selecting the final sample. Another limitation regards the number of the analyzed papers.Originality/valueThe analysis demonstrated how much the use of ML techniques for project risk management is still new and has many unexplored areas, given the increasing trend in annual scientific publications. This evidence represents an opportunities for supporting the organizational innovation in companies engaged into complex projects whose risk management become strategic.

The Influential Factors on the Attraction of Outstanding Scientific and Technological Talents in Developed Cities in China

With the rapid development of science and technology, the demand for talents in developed countries and regions has been focused on the outstanding scientific and technological talents. How to reflect the city’s attraction and effectively implement related policies to attract, cultivate, and retain outstanding scientific and technological talents has become one of the essential development strategies. This paper investigates the factors attracting outstanding scientific and technological talents in developed cities in China with an evaluation system composed by 8 sub-criteria indicators and 25 index indicators. The results show that the urban ecological attraction level is much higher than that of human resource ecological development. A good public service system and a standardized management platform are important factors influencing the concentration of top talents. In addition, it is important to provide related policies to support innovative companies to create a better environment that can tolerate failures.

Do customer centricity and innovativeness mediate the relationship between total quality management and the corporate success of SaaS companies?

PurposeThis research explores the mediating role of a firm's innovativeness and customer orientation on the relationship between commercial success and total quality management (TQM) in the Indian SaaS (Software-as-a-Service) sector.Design/methodology/approachThe hypotheses suggested for this study were validated using partial least squares-based structural equation modeling on data collected from 189 executives working in SaaS companies in India.FindingsThe findings of this study revealed that a SaaS company's innovativeness fully mediates the relationship between TQM and corporate performance, whereas the customer orientation of SaaS companies partially mediates the relationship between TQM and corporate performance.Originality/valueFindings of this paper indicate that, in addition to TQM deployment, SaaS companies' innovativeness and customer-focused strategy will improve their corporate performance. With minimal research focusing on India, this study may be considered a pioneer work. It can serve as a basis for SaaS company promoters to improve their corporate performance by implementing TQM processes.

Empreendedorismo Internacional: Mapeamento Temático e Proposta de Agenda de Pesquisa

Abstract This study aimed to carry out a bibliometric analysis of the production on International Entrepreneurship IE based on perspectives of the thematic structure of the field using thematic mapping techniques to model the knowledge produced in it. Data from the scientific production on the subject were collected from Scopus and Web of Science databases. Three thematic maps representing the periods of 1995-2004, 2005-2014 and 2015-2022 were yielded in the study. The discussion of results concludes that IE is a research area that has grown significantly since the second period, showing a considerable increase in publications from 127 in the first period to 1,042 in the second. This increase remained constant reaching 1,934 in the third and final period. The themes that stood out the most and were most representative in the field of IE were: performance of companies in IE, innovation, knowledge, entrepreneurial companies, entrepreneurial orientation, management, strategy, model and export behavior. A conceptual variation of the themes was also observed with the performance theme standing out, maintaining a high representativeness in the three periods analyzed with displacements between the basic themes – transversal – and the driving themes. Another highlight was the capabilities theme, which, over time, resulted in the dynamic capabilities theme. As emerging themes, performance, entrepreneurial orientation, entrepreneurship, impact and management appear. Based on the results and conclusions of this study, a research agenda is proposed.

O Processo Decisório para o Desenvolvimento da Inovação Sustentável Via Capacidades Dinâmicas nas Cleantechs

Abstract This article aims to present a model of how the decision-making process can drive the development of dynamic capabilities for generating sustainable innovation in cleantech companies. Cleantechs are highly technological organizations, one of whose main characteristics is little or no use of non-renewable resources to produce any type of product, service, or process. The use of these technologies and identification of opportunities in the market makes sustainable innovation the core competence of this type of company. A multiple case study was conducted with cleantechs using a qualitative approach, supported by the content analysis technique. The primary data collection was carried out via semi-structured interviews, between October of 2020 and December of 2021, using an interview script as a collection instrument. The results provide a model that illustrates how the decision-making process can drive the development of dynamic capabilities for generating sustainable innovations, by means of categories that reflect technological sustainability, spillover effects, and a drive toward digitalization in clean technologies. The scientific contribution of the study is the presentation of how organizations can restructure their business models and develop sustainable and technological innovations, digitally leapfrogging to address bottlenecks related to energy rationing, social inclusion through monitoring technologies, access to low-cost clean and renewable energy, and other solutions.

Culture and Consumer Perception on Gucci’s Marketing

Gucci has become one of fashion’s most influential, innovative and progressive companies. The use of different cultures as marketing strategies in different countries is one of the factors contributing to Gucci’s success. However, perception is people’s perception and cognition of external things, and further processing of information through stimulation. Perception is one of consumer behaviors. Gucci changes consumer behavior by perceiving visual stimuli. This report examines and compares Gucci’s marketing activities in Italy and China, and critically examines how culture and perception influence Gucci’s marketing activities.

XAI-based cross-ensemble feature ranking methodology for machine learning models

Artificial Intelligence (AI) as one robust technology has been used in various fields, making innovative society possible and changing our lifestyles. However, the black box problem is still one big problem for artificial intelligence. In this study, we first compared the results of kernel Shapley Additive exPlanations (SHAP) for various machine learning models and found that the single SHAP model cannot explain the models at the human knowledge level. Then the factors’ global ranking was calculated using our proposed ensemble methodology. Finally, the new factors’ ranking was compared with other factor ranking method. Our experimental results declare that the proposed cross-ensemble feature ranking methodology provides stable and comparatively reliable feature ranking in both the classification and regression models.

Impact of Digital Marketing on Small Scale Startup Business with Special Reference to Madhya Pradesh

Abstract: This thesis aims to research the value and influence of digital marketing on the competitive establishment of startup companies. The research would further explore whether digital marketing can substantially affect the growth of startups, enhance brand recognition, gain consumer loyalty, and strengthen customer relationships. This concept has yet to be previously researched. The only related Study we found was the correlation between social media and innovation in startups, which indicates that social media positively affects innovation in startup companies. The research used a qualitative approach in which five startup firms were interviewed using a semi- structured interview as the primary data collection method. The research also collected secondary data from peer-reviewed articles, journals, and websites. The Study concludes that digital marketing is recognised as a creative and efficient way of obtaining, sustaining, and establishing customer relationships. Online channels and platforms, such as websites, industry-specific outlets, and forums, have been identified to be the most beneficial for startups.

Development strategies of high-tech companies in China: Huawei and Tencent

Currently, China is the second largest economy in the world and a rapidly developing innovative country. The improving position of China is evident not only from the rankings of the largest innovative companies but also from the reaction of major Western nations (once technological leaders) to China’s achievements in high-tech industries. Their biggest concerns refer to increased control over foreign direct investment from China, the cancellation of major investment deals, the refusal of the services of Chinese companies due to a threat to national security, the trade war between the United States and China, etc. This article aims at identifying and analyzing the development strategies of high-tech companies in China as exemplified by its largest national companies: Huawei and Tencent. The authors used such methods as document analysis, analysis of quantitative data, comparative analysis, and synthesis. While studying the development strategies of the most prominent high-tech companies in China, Huawei and Tencent, the authors confirmed the general trends of their innovative development, including active investment in new technologies (artificial intelligence, cloud services, blockchain, big data, Internet of things, digital platforms), expanding the network of users and deepening connections between them, as well as personalizing services.

Innovation in hyperlink and social media networks: Comparing connection strategies of innovative companies in hyperlink and social media networks.

This paper seeks to unveil how (geospatial) connection strategies associated with business innovation, differ between geolocated social media and hyperlink company networks. Thereby, we provide a first step towards understanding connection strategies of innovative companies on social media platforms. For this purpose, we build a hyperlink and Twitter follower network for 11,892 companies in the information technology (IT) sector and compare them along four dimensions. First, underlying network structures were assessed. Second, we asserted information flow patterns between companies with the help of centrality measures. Third, geographic and cognitive proximities of companies were compared. Fourth, the influence of company characteristics was examined through linear and logistic regression models. This comparison revealed, that on a general level the basic connection patterns of the hyperlink and Twitter network differ. Nevertheless, the geospatial dimension (geographic proximity) and the knowledge base of a company (cognitive proximity) appear to have a similar influence on the decision to connect with other companies on Twitter and via hyperlinks. Further, the results suggest that innovative companies most likely align their connection strategies across hyperlink and Twitter networks. Thus, business innovation might effect connection strategies across online company networks in a comparable manner.

Knowledge Management, a Path to Technological Innovation: A Comparative International Case Study of Engineering Companies in Japan, Ghana, and Northwestern China

A civil engineering company in Northwestern China faces communication and innovation challenges, preventing it from moving forward as an organization. These issues stem from challenges of managing knowledge related to technological innovation within the organization. While the company is developing new practices generated in its civil engineering design service, knowledge management system development is insufficiently adopted. Knowledge management has been proven to be an efficient means to create, identify, and share knowledge and best practices in developed countries such as the UK, Japan, and the US. This comparative case study explores the successful applications of knowledge management in technological innovation for companies like the one in Northwest China -- by comparing it to two different organizations in different countries. These companies were chosen as part of this research as they provide insights through the lenses of the macro and micro issues relating to knowledge management. The findings from the study should provide practical guidance for civil engineering companies to practice knowledge management of technological innovation.

Hıstorıcal Development of Automotıve Industry at Indıa and Turkey and The Formatıon of Innovative Company

Hıstorıcal Development of Automotıve Industry at Indıa and Turkey and The Formatıon of Innovative Company