Research on the Synergetic Innovation Between Pharmaceutical Enterprises and Scientific Research Institutions Based on the Quantum Game

Wang, Lin; Zhe, Huang

doi:10.1109/access.2020.2976544

Cited by 8 publications

(2 citation statements)

References 27 publications

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“…Recognising the need for synergies to deliver new solutions and systems, researchers tend to agree on the need for co-creation (Kumari et al 2020 ; Sharma and Sharma 2021 ), co-management (Léopold et al 2019 ; Casagrande et al 2021 ), and co-decisions for institutional resources (Shackleton and Raunio 2003 ). For instance, modern innovative drugs increasingly require co-development by pharmaceutical enterprises and scientific research institutions (Wang and Huang 2020 ). Thus, the complementary nature of institutions (Da Silva 2019 ), institutional roles (Garrick et al 2011 ) and institutional arrangements (Lee and Yoo 2008 ; Corsi and Prencipe 2019 ), serves as foci for some studies seeking to improve integration and accountability in institutions.…”

Section: Management Priorities For Institutional Innovationmentioning

confidence: 99%

Systematic review of institutional innovation literature: towards a multi-level management model

AlMalki

Durugbo

2022

Manag Rev Q

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Institutional innovation creates smart institutions that idiosyncratically thrive in a world of exponential change. Through policy-driven interventions and experiential learning, managers of institutions become adept at delivering praxis- and crisis-driven innovations required for survival and success. Similarly, the management of institutional innovation remains an interest in research due to links of this form of innovation to economic growth, and the demands of on-going major socioeconomic transformations due to technological advances, increased occurrences of major crises, and emerging socioeconomic challenges. Accordingly, a key question arising from the literature concerns the range of determinants and priorities that influence institutional innovation for delivering society value. Thus, the onus is on scholarship to capture and advance knowledge for harnessing the potency of institutional innovation. The purpose of this article is to analyse the current state of research on institutional innovation. Using the systematic review methodology, we identify and critically appraise 485 peer-reviewed scientific publications between 1969 and 2021. The review finds key determinants and management priorities with a view to developing a multi-level management model of institutional innovation. Guided by insights from the review, the article sets a research agenda for future management studies of institutional innovation.

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Section: Management Priorities For Institutional Innovationmentioning

confidence: 99%

Systematic review of institutional innovation literature: towards a multi-level management model

AlMalki

Durugbo

2022

Manag Rev Q

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“…According to Jackson and Deeg (2008), the institutions will affect the investments. The decisions related to the firm's innovation and the regulation that allows interactions between the institutions depend on each country (Wang and Huang, 2020).…”

Section: Institutionsmentioning

confidence: 99%

The effect of cultural orientations (performance and sociality) on country innovation: a trajectories analysis perspective

Ramirrez-Urraya

Escandón-Barbosa

Salas

2022

JSTPM

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Purpose This study aims to analyze the effects of cultural orientations (performance and sociality) on the trajectories of innovation inputs and their results in different countries worldwide between 2011 and 2021. Design/methodology/approach As a technique for data analysis, one of the spatial Bayesian models and Gray forecasting methods is used. This technique is adequate to achieve the objectives of the investigation because it allows analyzing how the variables move in time ranges and allow the generation of forecasts. This model also allows knowing if there are spills, which investing in a country can positively affect countries with geographical proximity. The databases used were the Global Innovation Index with data from 131 nations and the Globe Project with data from 157 countries between 2011 and 2021. The variables analyzed are institutions, human capital, research infrastructure, market sophistication and business sophistication. On the other hand, regarding moderations of cultural orientations, The Globe Project developed two factors: performance orientation (high degree of masculinity, avoidance of ambiguity, power distance and future orientation) and humane orientation (high-level of femininity, institutional and societal collectivism). Findings The results reveal that all inputs grow at different rates over time. In the case of institutions, it is the most difficult to generate changes over time. However, human capital, market sophistication and business sophistication are the ones that have grown the most over time, regardless of the country’s cultural orientation. Research limitations/implications Among the main limitations is the set of data used because it only considers one approach to culture, especially the one considered by Hofstede. However, other approaches could help evaluate the results of this research. Considering the results obtained, the study attempts to provide a different view of the effects of cultural variables on companies’ innovation performance in different countries in the world. In the same way, evaluating these effects allows firms to consider variables associated with the country that will affect the strategies and performance of the firm. Practical implications The results achieved make it possible to strengthen the analysis of the countries’ strategies when it comes to innovation, especially in the permanent evaluation of the results that allow to encourage changes in the execution of innovative activities to maintain their performance over time. Social implications The contributions allow us to understand the dynamics of innovation in the knowledge and creative outputs of countries over time. Originality/value The trajectory analysis used in the data analysis is perhaps one of the most robust techniques that makes a time series analysis. This allows identifying trajectories for the independent variables of the study and their influence on the innovation of the country.

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The multi-soliton phenomena in quantum game model

Wang

2022

Quantum Inf Process

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Research on the Synergetic Innovation Between Pharmaceutical Enterprises and Scientific Research Institutions Based on the Quantum Game

Cited by 8 publications

References 27 publications

Systematic review of institutional innovation literature: towards a multi-level management model

Systematic review of institutional innovation literature: towards a multi-level management model

The effect of cultural orientations (performance and sociality) on country innovation: a trajectories analysis perspective

The multi-soliton phenomena in quantum game model

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