scholarly journals Micro- and Macro-Dynamics of Open Innovation with a Quadruple-Helix Model

2019 ◽  
Vol 11 (12) ◽  
pp. 3301 ◽  
Author(s):  
JinHyo Joseph Yun ◽  
Zheng Liu
Keyword(s):  
Open Innovation ◽  
Cultural Policy ◽  
Industrial Revolution ◽  
Service Industry ◽  
Quadruple Helix ◽  
Special Issue ◽  
New Concepts ◽  
Practice Review ◽  
Social Environmental ◽  
Quadruple Helix Model

This paper explores how sustainability can be achieved through open innovation in the current 4th industrial revolution. Through a literature and practice review, we identify micro- and macro-dynamics of open innovation in addition to the dynamic roles of industry, government, university, and society. In particular, the industry continuously adopts open platforms to create and maintain ecosystem innovation. The government’s role has changed from regulation control toward facilitation. Universities have become proactively engaged in multiple areas, from technology transfer to knowledge co-creation. Societies and customers have started to form new concepts, R&D, and commercialization, resulting in a shared economy. Based on the analysis, we propose a conceptual framework to understand open innovation micro- and macro-dynamics with a quadruple-helix model for social, environmental, economic, cultural, policy, and knowledge sustainability. Furthermore, this provides an overview of the special issue, “Sustainability of Economy, Society, and Environment in the 4th Industrial Revolution”, which aims to respond to the 4th industrial revolution in terms of open innovation and cyber-physics from manufacturing to the service industry.

From translational research to open technology innovation systems

2015 ◽  
Vol 29 (2) ◽  
pp. 200-220 ◽  
Author(s):  
Clive Savory ◽  
Joyce Fortune
Keyword(s):  
Translational Research ◽  
Open Innovation ◽  
Technology Innovation ◽  
Health Technology ◽  
Healthcare Sector ◽  
Innovation Activity ◽  
Quadruple Helix ◽  
Content Type ◽  
Quadruple Helix Model

Purpose – The purpose of this paper is to question whether the emphasis placed within translational research on a linear model of innovation provides the most effective model for managing health technology innovation. Several alternative perspectives are presented that have potential to enhance the existing model of translational research. A case study is presented of innovation of a clinical decision support system. The paper concludes from the case study that an extending the triple helix model of technology transfer, to one based on a quadruple helix, present a basis for improving the performance translational research. Design/methodology/approach – A case study approach is used to help understand development of an innovative technology within a teaching hospital. The case is then used to develop and refine a model of the health technology innovation system. Findings – The paper concludes from the case study that existing models of translational research could be refined further through the development of a quadruple helix model of heath technology innovation that encompasses greater emphasis on user-led and open innovation perspectives. Research limitations/implications – The paper presents several implications for future research based on the need to enhance the model of health technology innovation used to guide policy and practice. Practical implications – The quadruple helix model of innovation that is proposed can potentially guide alterations to the existing model of translational research in the healthcare sector. Several suggestions are made for how innovation activity can be better supported at both a policy and operational level. Originality/value – This paper presents a synthesis of the innovation literature applied to a theoretically important case of open innovation in the UK National Health Service. It draws in perspectives from other industrial sectors and applies them specifically to the management and organisation of innovation activities around health technology and the services in which they are embedded.

Developing a sustainable Digital Health Innovation Ecosystem in a rural and resource-poor region: A monitored networking approach (Preprint)

2020 ◽  
Author(s):  
Arunangsu Chatterjee ◽  
Sebastian Stevens ◽  
Sheena Asthana ◽  
Ray B Jones
Keyword(s):  
Social Network ◽  
Network Analysis ◽  
Data Collection ◽  
Digital Health ◽  
Resource Poor Setting ◽  
Quadruple Helix ◽  
Innovation Ecosystem ◽  
Resource Poor ◽  
Quadruple Helix Model ◽  
Over Time

BACKGROUND Digital health (DH) innovation ecosystems (IE) are key to the development of new e-health products and services. Within an IE, third parties can help promote innovation by acting as knowledge brokers and the conduits for developing inter-organisational and interpersonal relations, particularly for smaller organisations. Kolehmainen’s quadruple helix model suggests who the critical IE actors are, and their roles. Within an affluent and largely urban setting, such ecosystems evolve and thrive organically with minimal intervention due to favourable economic and geographical conditions. Facilitating and sustaining a thriving DH IE within a resource-poor setting can be far more challenging even though far more important for such peripheral economics and the health and well-being of those communities. OBJECTIVE Taking a rural and remote region in the UK, as an instance of an IE in a peripheral economy, we adapt the quadruple helix model of innovation, apply a monitored social networking approach using McKinsey’s Three Horizons of growth to explore: • What patterns of connectivity between stakeholders develop within an emerging digital health IE? • How do networks develop over time in the DH IE? • In what ways could such networks be nurtured in order to build the capacity, capability and sustainability of the DH IE? METHODS Using an exploratory single case study design for a developing digital health IE, this study adopts a longitudinal social network analysis approach, enabling the authors to observe the development of the innovation ecosystem over time and evaluate the impact of targeted networking interventions on connectivity between stakeholders. Data collection was by an online survey and by a novel method, connection cards. RESULTS Self-reported connections between IE organisations increased between the two waves of data collection, with Small and Medium-sized Enterprises (SMEs) and academic institutions the most connected stakeholder groups. Patients involvement improved over time but still remains rather peripheral to the DH IE network. Connection cards as a monitoring tool worked really well during large events but required significant administrative overheads. Monitored networking information categorised using McKinsey’s Three Horizons proved to be an effective way to organise networking interventions ensuring sustained engagement. CONCLUSIONS The study reinforces the difficulty of developing and sustaining a DH IE in a resource-poor setting. It demonstrates the effective monitored networking approach supported by Social Network Analysis allows to map the networks and provide valuable information to plan future networking interventions (e.g. involving patients or service users). McKinsey’s Three Horizons of growth-based categorisation of the networking assets help ensure continued engagement in the DH IE contributing towards its long-term sustainability. Collecting ongoing data using survey or connection card method will become more labour intensive and ubiquitous ethically driven data collection methods can be used in future to make the process more agile and responsive.

scholarly journals The Overview of the Conservation and Renewal of the Industrial Belgian Heritage as a Vector for Cultural Regeneration

Information ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 27
Author(s):  
Jiazhen Zhang ◽  
Jeremy Cenci ◽  
Vincent Becue ◽  
Sesil Koutra
Keyword(s):  
Textile Industry ◽  
Industrial Revolution ◽  
Service Industry ◽  
Industrial Heritage ◽  
Industrial History ◽  
Tourism Experience ◽  
Industrial Civilization ◽  
The City ◽  
Protection And Renewal ◽  
Cultural Regeneration

Industrial heritage reflects the development track of human production activities and witnessed the rise and fall of industrial civilization. As one of the earliest countries in the world to start the Industrial Revolution, Belgium has a rich industrial history. Over the past years, a set of industrial heritage renewal projects have emerged in Belgium in the process of urban regeneration. In this paper, we introduce the basic contents of the related terms of industrial heritage, examine the overall situation of protection and renewal in Belgium. The industrial heritage in Belgium shows its regional characteristics, each region has its representative industrial heritage types. In the Walloon region, it is the heavy industry. In Flanders, it is the textile industry. In Brussels, it is the service industry. The kinds of industrial heritages in Belgium are coordinate with each other. Industrial heritage tourism is developed, especially on eco-tourism, experience tourism. The industrial heritage in transportation and mining are the representative industrial heritages in Belgium. There are a set of numbers industrial heritages are still in running based on a successful reconstruction into industrial tourism projects. Due to the advanced experience in dealing with industrial heritage, the industrial heritage and the city live together harmoniously.

scholarly journals A Bayesian Control Chart for Monitoring Process Variance

2021 ◽  
Vol 11 (6) ◽  
pp. 2729
Author(s):  
Chien-Hua Lin ◽  
Ming-Che Lu ◽  
Su-Fen Yang ◽  
Ming-Yung Lee
Keyword(s):  
Service Quality ◽  
Control Chart ◽  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Service Industry ◽  
Service Process ◽  
Time Varying ◽  
Exponential Process ◽  
Free Process ◽  
Process Variance

Automation in the service industry is emerging as a new wave of industrial revolution. Standardization and consistency of service quality is an important part of the automation process. The quality control methods widely used in the manufacturing industry can provide service quality measurement and service process monitoring. In particular, the control chart as an online monitoring technique can be used to quickly detect whether a service process is out of control. However, the control of the service process is more difficult than that of the manufacturing process because the variability of the service process comes from widespread and complex factors. First of all, the distribution of the service process is usually non-normal or unknown. Moreover, the skewness of the process distribution can be time-varying, even if the process is in control. In this study, a Bayesian procedure is applied to construct a Phase II exponential weighted moving average (EWMA) control chart for monitoring the variance of a distribution-free process. We explore the sampling properties of the new monitoring statistic, which is suitable for monitoring the time-varying process distribution. The average run lengths (ARLs) of the proposed Bayesian EWMA variance chart are calculated, and they show that the chart performs well. The simulation studies for a normal process, exponential process, and the mixed process of normal and exponential distribution prove that our chart can quickly detect any shift of a process variance. Finally, a numerical example of bank service time is used to illustrate the application of the proposed Bayesian EWMA variance chart and confirm the performance of the process control.

scholarly journals MOTIVASI, KOMITMEN ORGANISASIONAL DAN KEPUASAN KERJA KARYAWAN DI WAROENG SPESIAL SAMBAL, JATINANGOR

2019 ◽  
Vol 10 (1) ◽  
pp. 29-42
Author(s):  
Sir Kalifatullah Ermaya ◽  
Siti Mujdalipah
Keyword(s):  
Job Satisfaction ◽  
Organizational Commitment ◽  
Employee Satisfaction ◽  
Industrial Revolution ◽  
Service Industry ◽  
Food Service ◽  
Quantitative Approach

The food service industry has received many challenges in the current era of disruption of the industrial revolution 4.0. Given the urgency of increasing the Motivation and Organizational Commitment in one of the restaurants in Jatinangor, the title of this study is "Motivation, Organizational Commitment and Job Satisfaction in Waroeng Spesial Sambal, Jatinangor". This research belongs to the category of associative causal research using a quantitative approach. The results showed: 1. Motivation partially has a significant effect on the Employee Satisfaction variable; 2. Organizational Commitment partially has no effect and isn’t significant on the Employee Satisfaction variable; 3. Motivation and Organizational Commitment simultaneously have a positive and significant effect on the Employee Satisfaction variable.

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