The impact of lead users on innovation success

Marzouki, Reem; Belkahla, Wafa

doi:10.1108/inmr-12-2018-0093

Cited by 12 publications

(3 citation statements)

References 50 publications

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“…Важность и приоритетность разработки передовых производственных технологий в ходе проведения научных исследований подчеркивают Ö. Karahan, O. Çolak [30]. Значимость обозначенных технологий выделяют R. Marzouki и W. Belkahla, по мнению которых только обладающие передовыми производственными технологиями, разработанными на основе новых знаний, полученных в результате научных исследований, производственные предприятия могут успешно внедрять новые высокоэффективные инновации и, следовательно, получать краткосрочную и долгосрочную прибыль [31].…”

Section: обзор литературыunclassified

Research performance and its impact on the innovation-driven development at the regional level

Vlasov

2023

PERM UNIVERSITY HERALD. ECONOMY

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Introduction . These days, the society attaches a particular importance to the innovative performance in the economy for faster economic growth. Purpose . The study is aimed to identify and quantify the impact of the research performance rate on the innovation -driven development at the regional level. Materials and Methods . The author analyzed the data taken from an official 2015– 2020 statistics book published by the Federal State Statistics Service. To analyze the impact of v arious types of research performance on innovation implementation, the author referred to a correlation analysis of the indicators characterizing the types of research performance and innovation performance at the regional level. Results . Theoretical analysis taken from the previous studies outlined the key types of research performance with the highest impact on the innovation performance. Correlation analysis revealed a strong stable connection between the analyzed indicators. This proves the fact that the development of various research performance types boosts innovation performance in the regions. The correlation regression analysis gave a regression model which could simulate the research- driven changes in the volume of innovative good s, services, and works at the regional level. The study offers a tool for the quantitative assessment of the research performance impact on the innovative performance of the entities – the research- to-innovation coefficient. Conclusion . The research- to -innovation coefficients were analyzed to differentiate the types of research performance by their impact on the innovation -driven development rate in the regions. The author offers theoretically important tools for quantitatively assessing the impact of various types of research performance on the innovative performance rate in the regions. The study gives a practically valuable quantitative assessment of the research- to -innovation transformations in the regions. This assessment could simulate a nd plan the development of innovative performance induced by the introduction of various scientific studies into the economic activities at the regional level.

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Section: обзор литературыunclassified

Research performance and its impact on the innovation-driven development at the regional level

Vlasov

2023

PERM UNIVERSITY HERALD. ECONOMY

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“…Social network analysis is a quantitative analysis method developed by sociologists utilising mathematical methods and graph theory to study the relationship between social actors. In the network community, the social network analysis method explores the topological structure characteristics of user networks and analyzes the impact of knowledge sharing and information dissemination [40][41][42]. Its core indicators include degree centrality, betweenness centrality and average clustering coefficient.…”

Section: Social Network Analysis Of Blockchain Information Disseminat...mentioning

confidence: 99%

Research on information dissemination of blockchain network community under the action of negative incentive mechanism

Xie

Zhang

2022

Journal of Information Science

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Traditional online communities suffer from false, repetitive or low-level content, with blockchain technology able to solve these problems. Specifically, the incentive mechanism is the blockchain’s core value, including positive and negative incentive mechanisms. The former strengthens people’s behaviour positively, while the latter, on the contrary, adopts mandatory methods such as punishment to eliminate the occurrence of certain types of behaviour. The negative incentive mechanism is the key factor to solve the problems presented above that traditional online communities face. Specifically, this article develops a solution that utilises the negative incentive mechanism, based on the classic infectious disease model (SIR model), introduces smart nodes, puts forward the SSIR model of information dissemination in the blockchain network community, and establishes a set of differential equations reflecting the information dissemination rules. Based on the parameter assumption and solving the equations with MATLAB, this article compares and reveals the changes of different user types on the SIR and SSIR models. Furthermore, we utilise the data collected from the Steemit blockchain community and Sina Weibo platform and apply the Social Network Analysis method to compare and analyse the information dissemination between the blockchain and the traditional network community. The research results highlight that the negative incentive mechanism in the blockchain network community affords a more rational behaviour of user information dissemination, a simpler interaction between users, and reducing to a certain extent the dissemination of ‘distorted’ or ‘uncertain’ information.

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“…Motivation is a personal characteristic and has been found to play an important role in many technologies and innovations' continuous intention to use IoMT and usage related concepts (Franke et al, 2006;Hang & Kau, 2016;Marzouki & Belkahla, 2019). This was tested as there is no compelling evidence in the literature to establish this.…”

Section: Motivation ➔ Continuous Intention To Use Iomtmentioning

confidence: 99%

Advancing the Understanding of the Role of Responsible AI in the Continued Use of IoMT in Healthcare

et al. 2021

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This paper examines the continuous intention by healthcare professionals to use the Internet of Medical Things (IoMT) in combination with responsible artificial intelligence (AI). Using the theory of Diffusion of Innovation (DOI), a model was developed to determine the continuous intention to use IoMT taking into account the risks and complexity involved in using AI. Data was gathered from 276 healthcare professionals through a survey questionnaire across hospitals in Bahrain. Empirical outcomes reveal nine significant relationships amongst the constructs. The findings show that despite contradictions associated with AI, continuous intention to use behaviour can be predicted during the diffusion of IoMT. This study advances the understanding of the role of responsible AI in the continued use of IoMT in healthcare and extends DOI to address the diffusion of two innovations concurrently.

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The impact of lead users on innovation success

Cited by 12 publications

References 50 publications

Research performance and its impact on the innovation-driven development at the regional level

Research performance and its impact on the innovation-driven development at the regional level

Research on information dissemination of blockchain network community under the action of negative incentive mechanism

Advancing the Understanding of the Role of Responsible AI in the Continued Use of IoMT in Healthcare

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