scholarly journals Introduction: Ambidextrous Open Innovation in the 4th Industrial Revolution

2021 ◽  
pp. 097172182110069
Author(s):  
Jinhyo Joseph Yun ◽  
Zheng Liu ◽  
Xiaofei Zhao
Keyword(s):  
Artificial Intelligence ◽  
Open Innovation ◽  
Service Sector ◽  
Industrial Revolution ◽  
Service Innovation ◽  
Financial Service ◽  
Smart System ◽  
Technology Advancement ◽  
Manufacturing Sectors ◽  
Innovation Model

With the popularity of artificial intelligence, big data and Internet of Things, business nowadays is featured with technology advancement, open innovation and collaboration. This happens particularly in the manufacturing sectors, known as the Industrial 4.0 or the 4th Industrial Revolution. Alongside this trend, there is also a movement towards servitisation and service innovation. In the financial service sector, FinTech firms, traditional large firms, intermediaries, users and regulators are actively engaged together to develop a smart system of banking, investing and insurance service. Nevertheless, the sector is facing challenges in relation to security, trust and external disruptions. To solve this, first, this article builds an ambidextrous open innovation model with multi-dimensions, which are motivated by the arriving of the 4th Industrial Revolution. Second, this article applies the ambidextrous open innovation model with multi-dimensions to the financial sectors to validate the model basically. Third, this model is applied to several research studies to obtain additional validation of it.

scholarly journals Open Innovation and Serial Entrepreneurs

2019 ◽  
Vol 11 (18) ◽  
pp. 5055 ◽  
Author(s):  
Jinhyo Joseph Yun ◽  
MinHwa Lee ◽  
KyungBae Park ◽  
Xiaofei Zhao
Keyword(s):  
Open Innovation ◽  
Industrial Revolution ◽  
Joint Venture ◽  
Innovation Strategy ◽  
Loop Model ◽  
Serial Entrepreneurship ◽  
Serial Entrepreneur ◽  
Innovation Model ◽  
Serial Entrepreneurs ◽  
Medical Device Company

With the advent of the Fourth Industrial Revolution, the role of entrepreneurs has become more crucial than ever. As a result, an open innovation model is suggested here that can promote serial entrepreneurs by answering the following question: “How does the serial entrepreneur in open innovation conditions continuously identify business opportunities?” This question is answered through an in-depth case study of Medison from 1985 to 2016, as Medison is not only a representative Korean medical device company, but is also a representative example of serial entrepreneurship in Korea. First, we examined the diverse open innovation channels, such as spin-offs, venture investment, and joint venture, used by Medison before it was merged with Samsung. Second, we examined the open innovation serial entrepreneurs of Medison and then analyzed the direct serial entrepreneurs of Medison. Fourth, we built a causal loop model of Medison open innovation with emergence and complexity combined. Finally, a sustainable open innovation strategy and an approach to sustainable serial entrepreneurship was formulated. The foundation of this research is as follows. First, an open innovation strategy can be a strong motivator for serial entrepreneurs. Second, a balance between emergence and complexity is required to trigger sustainable serial entrepreneurs of open innovation.

scholarly journals Factors of Open Innovation

2020 ◽  
Vol 13 (44) ◽  
pp. 160-173
Author(s):  
Miroslava Prváková
Keyword(s):  
Literature Review ◽  
Influencing Factors ◽  
Open Innovation ◽  
Service Sector ◽  
Primary Method ◽  
Basic Model ◽  
Innovation Model ◽  
Secondary Survey

Abstract The issue of open innovation has become a popular topic in recent years. The literature review revealed that within the Open Innovation theories and its aspects, some elements were differently defined which showed a space for further exploration. The main aim of the paper is to synthesize knowledge about open innovation and to create a basic model of the open innovation environment in terms of influencing factors and to identify relevant actors, that may be part of this process. The primary method was a secondary survey aimed at the analyze of 24 definitions and integrating scientific definitions of open innovation, its factors, barriers and relevant players. By synthesizing this knowledge, we have developed a basic model of open innovation factors and identified relevant players in this process. This paper is part of the author's dissertation thesis, which aims to design and test an open innovation model in the service sector. The model will include all factors contained in this article. Further model could be used as an effective tool for implementing open innovation and evaluating its usefulness for theories and praxis as well.

Sustainable Development Through Innovation In Service Sector

2014 ◽  
Vol 1 (1) ◽  
pp. 175-178
Author(s):  
Ilie Banu ◽  
Ioana Madalina Butiuc
Keyword(s):  
Sustainable Development ◽  
Tax Evasion ◽  
Service Sector ◽  
Service Innovation ◽  
Slow Recovery ◽  
Quality Research ◽  
Development Indicators ◽  
Economic Cycles ◽  
Sustainable Development Indicators ◽  
Research And Innovation

AbstractRegarding the economic crises and the slow recovery that still continues, we believe that a solution can be improving the capacity to research and innovate in order to achieve sustainable development. Another key issue of the paper is about developing the cooperation between academia and business. The challenge of this development is how to increase the amount to finance research and innovation that can be implemented in the economy. As a global solution, to this problem we can recommend, for example, reducing tax evasion and by fiscal education. Also particular sources have to be found in order to develop innovation on SME level. It is essential for innovation to make quality research in order to be better prepared and increase adaptability to economic cycles. The aim of the paper is to find out how service innovation and cooperation between academia and business can enhance sustainable development indicators. The conclusions of the paper are structured in particular proposals and recommendations.

DEVELOPING THE SCIENTIFIC MAGAZINE IN THE PERIOD OF THE FOURTH INDUSTRIAL REVOLUTION 4.0

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Nguyen Duy Dung
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Industrial Revolution ◽  
Scientific Journal ◽  
Publishing Research ◽  
The Other ◽  
High Tech ◽  
Fourth Industrial Revolution ◽  
Socio Economic Development ◽  
International Scientific Journal

Characteristics of the industrial revolution 4.0 is the wide application of high-tech achievements, especially information technology, digitalization, artificial intelligence, network connections for management to create sudden changes in socio-economic development of many countries. Therefore, to reach the high-tech time, many magazines in Vietnam have changed dramatically, striving to reach the international scientific journal system of ISI, Scopus. The publication of international standard scientific journal will meet the demand of publishing research results of local scientists, on the other hand contribute to strengthening exchange, cooperation, international integration in science and technology.

scholarly journals The fourth industrial revolution and labour market regulation in Singapore

2020 ◽  
Vol 31 (3) ◽  
pp. 347-363
Author(s):  
Peter Waring ◽  
Azad Bali ◽  
Chris Vas
Keyword(s):  
Artificial Intelligence ◽  
Labour Market ◽  
Industrial Revolution ◽  
Autonomous Systems ◽  
Market Regulation ◽  
Jel Codes ◽  
Fourth Industrial Revolution ◽  
Labour Market Regulation ◽  
Social Safety Nets ◽  
Large Survey

The race to develop and implement autonomous systems and artificial intelligence has challenged the responsiveness of governments in many areas and none more so than in the domain of labour market policy. This article draws upon a large survey of Singaporean employees and managers (N = 332) conducted in 2019 to examine the extent and ways in which artificial intelligence and autonomous technologies have begun impacting workplaces in Singapore. Our conclusions reiterate the need for government intervention to facilitate broad-based participation in the productivity benefits of fourth industrial revolution technologies while also offering re-designed social safety nets and employment protections. JEL Codes: J88, K31, O38, M53

scholarly journals Artificial intelligence for good health: a scoping review of the ethics literature

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Kathleen Murphy ◽  
Erica Di Ruggiero ◽  
Ross Upshur ◽  
Donald J. Willison ◽  
Neha Malhotra ◽  
...  
Keyword(s):  
Public Health ◽  
Artificial Intelligence ◽  
Global Health ◽  
Population Health ◽  
Health Systems ◽  
Scoping Review ◽  
Industrial Revolution ◽  
Ethical Issues ◽  
Grey Literature ◽  
Ethical Implications

Abstract Background Artificial intelligence (AI) has been described as the “fourth industrial revolution” with transformative and global implications, including in healthcare, public health, and global health. AI approaches hold promise for improving health systems worldwide, as well as individual and population health outcomes. While AI may have potential for advancing health equity within and between countries, we must consider the ethical implications of its deployment in order to mitigate its potential harms, particularly for the most vulnerable. This scoping review addresses the following question: What ethical issues have been identified in relation to AI in the field of health, including from a global health perspective? Methods Eight electronic databases were searched for peer reviewed and grey literature published before April 2018 using the concepts of health, ethics, and AI, and their related terms. Records were independently screened by two reviewers and were included if they reported on AI in relation to health and ethics and were written in the English language. Data was charted on a piloted data charting form, and a descriptive and thematic analysis was performed. Results Upon reviewing 12,722 articles, 103 met the predetermined inclusion criteria. The literature was primarily focused on the ethics of AI in health care, particularly on carer robots, diagnostics, and precision medicine, but was largely silent on ethics of AI in public and population health. The literature highlighted a number of common ethical concerns related to privacy, trust, accountability and responsibility, and bias. Largely missing from the literature was the ethics of AI in global health, particularly in the context of low- and middle-income countries (LMICs). Conclusions The ethical issues surrounding AI in the field of health are both vast and complex. While AI holds the potential to improve health and health systems, our analysis suggests that its introduction should be approached with cautious optimism. The dearth of literature on the ethics of AI within LMICs, as well as in public health, also points to a critical need for further research into the ethical implications of AI within both global and public health, to ensure that its development and implementation is ethical for everyone, everywhere.

Sports Medicine and Artificial Intelligence: A Primer

2021 ◽  
pp. 036354652110086
Author(s):  
Prem N. Ramkumar ◽  
Bryan C. Luu ◽  
Heather S. Haeberle ◽  
Jaret M. Karnuta ◽  
Benedict U. Nwachukwu ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Sports Medicine ◽  
Injury Risk ◽  
Industrial Revolution ◽  
Improve Patient Care ◽  
Great Promise ◽  
Patient Reported ◽  
Athlete Injury ◽  
Improve Patient ◽  
Applications Of Ai

Artificial intelligence (AI) represents the fourth industrial revolution and the next frontier in medicine poised to transform the field of orthopaedics and sports medicine, though widespread understanding of the fundamental principles and adoption of applications remain nascent. Recent research efforts into implementation of AI in the field of orthopaedic surgery and sports medicine have demonstrated great promise in predicting athlete injury risk, interpreting advanced imaging, evaluating patient-reported outcomes, reporting value-based metrics, and augmenting the patient experience. Not unlike the recent emphasis thrust upon physicians to understand the business of medicine, the future practice of sports medicine specialists will require a fundamental working knowledge of the strengths, limitations, and applications of AI-based tools. With appreciation, caution, and experience applying AI to sports medicine, the potential to automate tasks and improve data-driven insights may be realized to fundamentally improve patient care. In this Current Concepts review, we discuss the definitions, strengths, limitations, and applications of AI from the current literature as it relates to orthopaedic sports medicine.

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