Special Issue "Ambidextrous Open Innovation for Sustainability"

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Economic and Business Aspects of Sustainability".

Deadline for manuscript submissions: closed (31 December 2020).

Special Issue Editors

Prof. Dr. JinHyo Joseph Yun *
Website
Guest Editor
Dr. Xiaofei Zhao

Guest Editor
DGIST, 333, Techno Jungang Daero, Hyeonpung-Myeon, Dalseong-Gun, Daegu 42988, Korea
Interests: open innovation culture; organization and strategy of China; the difference between Korean firms and Chinese firms
Special Issues and Collections in MDPI journals
Dr. Zheng Liu
Website
Guest Editor
Business School, University of South Wales, Pontypridd, CF37 1DL, UK; Centre for Innovation and Development, Nanjing University of Science and Technology, No. 200 Xiaolingwei, Nanjing 210094, China
Interests: innovation ecosystem; open innovation; innovation strategy and policy; creative industry
Special Issues and Collections in MDPI journals
Prof. Dr. KwangHo Jung
Website
Guest Editor
Graduate School of Public Administration, Seoul national University, Seoul, Korea
Interests: public administration; social innovation; market failure; system failure
Special Issues and Collections in MDPI journals
Prof. Dr. Tan Yigitcanlar
Website
Guest Editor

Special Issue Information

Dear Colleagues,

This Special Issue includes selected studies that contribute to our understanding of how the sustainability of firms in the ambidextrous open innovation is possible.

This Special Issue will cover all special sessions of SOItmC 2020 including smart cities, autonomous cars, intelligent robots, block chain, and sharing.

This Special Issue seeks to collect the top theoretical and empirical studies on open innovation policy and management, the open innovation economy, open business models, open service innovation, and others from high-quality papers of SOItmC 2020.

In addition to these 36 papers which were selected from SOItmC 2020 special sessions, a total of 50–60 papers will be submitted to this Special Issue. We expect to publish 30–40 of these.

Time schedule of this Special Issue:

  • Special Issue Open: 10th June 2020

Any SOItmC 2020 authors in addition to the planned papers can submit to this Special Issue after full paper submission to the SOItmC 2020 platform and paying the registration fee until 10 June 2020 from 10th June 2020;

  • Close: 31 December 2020.

All papers should be submitted to this Special Issue by 31 December 2020.

Dr. JinHyo Joseph Yun
Dr. Xiaofei Zhao
Dr. Zheng Liu
Dr. KwangHo Jung
Dr. Tan Yigitcanlar
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • dynamic open innovation and sustainability
  • open business model and sustainability
  • open innovation engineering and sustainability
  • smart city and sustainability
  • autonomous car and sustainability
  • intelligent robot and sustainability
  • block chain and sustainability
  • sharing economy and sustainability
  • smart wearable technology
  • machine intelligence in mechatronics and robotics
  • the impact of fire protection and safety technologies
  • construction education
  • innovation diversity for emerging economies
  • digital innovation and governance policy
  • open innovation and the role of Japan
  • quantum management, oriental wisdom and management innovation
  • the 4th industrial revolution a sustainable innovation
  • dynamics of open innovation in biomedical industry
  • open innovation and technology commercialization
  • technology, innovation and collaborative governance
  • innovation performance
  • knowledge transfer and convergence identification with intellectual property strategy
  • the roles of HR, organizational capabilities, and open innovation in the 4th industrial revolution
  • innovation, entrepreneurship, and sustainability
  • digital transformation and innovation in the public sector
  • green governance
  • digital innovation and entrepreneurship
  • industry innovation ecosystem design and strategic development
  • open innovation and strategic competitiveness
  • measuring business excellence and case studies for sustainability
  • patent analysis and open innovation
  • innovation ecosystem for sustainable development in China
  • beyond innovation, beyond smart city
  • entrepreneurship and technology based firms
  • climate change and enhancement of public awareness toward industry
  • stories about the Korean innovation companies from start-ups and ventures to medium-large enterprises
  • transdisciplinary research and education in deep-net age
  • open innovation in the tourism sector
  • efficiency issues in R&D and supply chain
  • open innovation study of University of South Wales, Business School
  • open innovation with inter-rationality
  • design, community innovation, creativity and culture
  • innovation and knowledge creation

Published Papers (8 papers)

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Open AccessArticle
What Is a Sustainable Coworking Space?
Sustainability 2020, 12(24), 10547; https://doi.org/10.3390/su122410547 - 16 Dec 2020
Abstract
Coworking is a trend that is becoming increasingly popular and is often associated with sustainability. However, a lack of consensus exists on what a sustainable coworking space is. This study addresses this by investigating what is currently understood by a sustainable coworking space. [...] Read more.
Coworking is a trend that is becoming increasingly popular and is often associated with sustainability. However, a lack of consensus exists on what a sustainable coworking space is. This study addresses this by investigating what is currently understood by a sustainable coworking space. Q-methodology is used to analyze 27 participants’ subjective ideas about what a sustainable coworking space is, resulting in four distinct perspectives. The four perspectives are identified as follows: 1. “New Work”, 2. “Resourceful Society”, 3. “Incubator, and 4. “Environmental”. These perspectives have distinct opinions on what important sustainability aspects in the context of coworking spaces are. Whilst some prioritize environmental and community factors, others have a mixed focus. Additionally, the four perspectives share some common beliefs. All of them believe in the importance of sustainable mobility, as well as in the moderate importance of encouraging their members to be socially responsible. These findings offer insight into the different understandings of coworking space sustainability. This is important because currently this field is under-researched, and a more systematic approach to sustainability in this field is needed. This research lays the foundation to do so and helps work toward a better understanding of coworking in a sustainability and innovative context. Full article
(This article belongs to the Special Issue Ambidextrous Open Innovation for Sustainability)
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Open AccessArticle
Relationship between User Innovation Activities and Market Performance: Moderated Mediating Effect of Absorptive Capacity and CEO’s Shareholding on Innovation Performance
Sustainability 2020, 12(24), 10532; https://doi.org/10.3390/su122410532 - 16 Dec 2020
Abstract
Although user innovation has been regarded as an important source of firms’ competitive advantage, the internal processes and mechanisms involved in the relationship between firms’ user innovation activities and market performance are seldom studied. By applying moderated mediation analyses, we examine (1) whether [...] Read more.
Although user innovation has been regarded as an important source of firms’ competitive advantage, the internal processes and mechanisms involved in the relationship between firms’ user innovation activities and market performance are seldom studied. By applying moderated mediation analyses, we examine (1) whether firms’ user innovation activities have a positive impact on market performance and (2) how and under what conditions user innovation activities can have a positive impact on a firm’s market performance. The findings on a sample of Korean manufacturing firms indicate that user innovation activities significantly increase firms’ innovation performance, which consequently leads to superior market performance (confirming the mediation effect of innovation performance). Additionally, we observe the positive mediation effect of innovation performance only in firms with higher levels of absorptive capacity (confirming the moderated mediation effect of absorptive capacity). Further analysis confirms that the positive interaction effects between user innovation activities and absorptive capacity on market performance through innovation performance were more pronounced for firms with higher Chief Executive Officer (CEO) shareholding levels (confirming the moderated mediation effect of CEO’s shareholding). Our findings provide theoretical and practical implications on the successful implementation of user innovation strategies. Full article
(This article belongs to the Special Issue Ambidextrous Open Innovation for Sustainability)
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Open AccessArticle
A Study on the Mechanisms Linking Environmental Dynamism to Innovation Performance
Sustainability 2020, 12(23), 9999; https://doi.org/10.3390/su12239999 - 30 Nov 2020
Abstract
The purpose of our study is to examine the mechanisms that link environmental dynamism to firms’ innovation performance. Although there have been extensive studies on the effect of environmental dynamism on innovation performance, they have focused primarily on its direct effect and have [...] Read more.
The purpose of our study is to examine the mechanisms that link environmental dynamism to firms’ innovation performance. Although there have been extensive studies on the effect of environmental dynamism on innovation performance, they have focused primarily on its direct effect and have resulted in rather inconsistent research findings. Thus, to explain the relationship between environmental dynamism and innovation performance more clearly, we intend to investigate the mechanisms through which environmental dynamism influences innovation performance in this study. Specifically, we aim to examine the mediation effects of strategic prospecting, absorptive capacity, and combined strategic prospecting–absorptive capacity on the relationship between environmental dynamism and innovation performance. Based on data collected from 266 small and medium-sized firms in Korea, our study has found that, assuming a causal interdependence between the mediators, both strategic prospecting and combined strategic prospecting–absorptive capacity mediate the relationship between environmental dynamism and innovation performance. It has also been found, however, that absorptive capacity alone does not mediate the relationship between environmental dynamism and innovation performance, while absorptive capacity mediates the relationship when it is linked to strategic prospecting. The results of our study further reveal that no direct effect of environmental dynamism on innovation performance exists, implying that the significant effect of environmental dynamism on innovation performance demonstrated in previous studies may be spurious in nature. Based on the findings, we present conclusions, theoretical and practical implications, and limitations with future research directions. Full article
(This article belongs to the Special Issue Ambidextrous Open Innovation for Sustainability)
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Open AccessArticle
Prediction of Plant Phenological Shift under Climate Change in South Korea
Sustainability 2020, 12(21), 9276; https://doi.org/10.3390/su12219276 - 08 Nov 2020
Abstract
Information on the phenological shift of plants can be used to detect climate change and predict changes in the ecosystem. In this study, the changes in first flowering dates (FFDs) of the plum tree (Prunus mume), Korean forsythia (Forsythia koreana [...] Read more.
Information on the phenological shift of plants can be used to detect climate change and predict changes in the ecosystem. In this study, the changes in first flowering dates (FFDs) of the plum tree (Prunus mume), Korean forsythia (Forsythia koreana), Korean rosebay (Rhododendron mucronulatum), cherry tree (Prunus yedoensis), and peach tree (Prunus persica) in Korea during 1920–2019 were investigated. In addition, the changes in the climatic factors (temperature and precipitation) and their relationship with the FFDs were analyzed. The changes in the temperature and precipitation during the January–February–March period and the phenological shifts of all research species during 1920–2019 indicate that warm and dry spring weather advances the FFDs. Moreover, the temperature has a greater impact on this phenological shift than precipitation. Earlier flowering species are more likely to advance their FFDs than later flowering species. Hence, the temporal asynchrony among plant species will become worse with climate change. In addition, the FFDs in 2100 were predicted based on representative concentration pathway (RCP) scenarios. The difference between the predicted FFDs of the RCP 4.5 and RCP 6.0 for 2100 was significant; the effectiveness of greenhouse gas policies will presumably determine the degree of the plant phenological shift in the future. Furthermore, we presented the predicted FFDs for 2100. Full article
(This article belongs to the Special Issue Ambidextrous Open Innovation for Sustainability)
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Open AccessArticle
What Determines Innovative Performance of International Joint Ventures? Assessing the Effects of Foreign Managerial Control
Sustainability 2020, 12(21), 8770; https://doi.org/10.3390/su12218770 - 22 Oct 2020
Cited by 1
Abstract
International joint ventures (IJVs) have long been considered a vibrant venue for innovation, one source of sustainable competitive advantage. Nonetheless, there is a paucity of research that seeks to understand what determines their innovative performance. We draw attention to and examine the control [...] Read more.
International joint ventures (IJVs) have long been considered a vibrant venue for innovation, one source of sustainable competitive advantage. Nonetheless, there is a paucity of research that seeks to understand what determines their innovative performance. We draw attention to and examine the control structure of IJVs as a determinant of innovation. Using the complementary lenses of local embeddedness, the liability of outsidership, and open innovation, we argue that foreign managerial control reduces IJV innovation and that equity ownership balance between foreign and local parent firms and affiliation of IJVs with local market business groups weaken this negative relationship. Using panel data of 48 IJVs in Korea during the periods between 2000 and 2016, we find empirical support for these arguments. This study contributes to the literature by extending our understanding of how to design IJVs for enhancing innovative output and consequently improving their sustainability. Full article
(This article belongs to the Special Issue Ambidextrous Open Innovation for Sustainability)
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Open AccessArticle
Literature Trend Identification of Sustainable Technology Innovation: A Bibliometric Study Based on Co-Citation and Main Path Analysis
Sustainability 2020, 12(20), 8664; https://doi.org/10.3390/su12208664 - 19 Oct 2020
Abstract
In the past 20 years, there have been increasingly more studies on sustainable technology innovation (STI), possessing a significance for sustainable development. This paper aims to provide a research landscape, since the systematic understanding of STI is still inadequate. Through bibliometric analysis, it [...] Read more.
In the past 20 years, there have been increasingly more studies on sustainable technology innovation (STI), possessing a significance for sustainable development. This paper aims to provide a research landscape, since the systematic understanding of STI is still inadequate. Through bibliometric analysis, it explores the literature distribution characteristics and the literature citation network. Based on the relevant literature data in the Web of Science (WOS), the study visually analyzes the development trend, topic distribution, burst literature, and co-citation network of the research literature, and extracts the evolution path of literature citation by using the main path analysis method. Through the analysis of co-citation and main path, 13 clusters in the co-citation network are found, which are further extracted as the main path network containing 82 nodes. Furthermore, this paper summarized the bibliometric landscape and discussed the frontier STI research topics. The comprehensive framework contributes to the understanding of STI themes and identifying future research agenda. Full article
(This article belongs to the Special Issue Ambidextrous Open Innovation for Sustainability)
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Open AccessArticle
Hybrid Deep Learning Algorithm with Open Innovation Perspective: A Prediction Model of Asthmatic Occurrence
Sustainability 2020, 12(15), 6143; https://doi.org/10.3390/su12156143 - 30 Jul 2020
Abstract
Due to recent advancements in industrialization, climate change and overpopulation, air pollution has become an issue of global concern and air quality is being highlighted as a social issue. Public interest and concern over respiratory health are increasing in terms of a high [...] Read more.
Due to recent advancements in industrialization, climate change and overpopulation, air pollution has become an issue of global concern and air quality is being highlighted as a social issue. Public interest and concern over respiratory health are increasing in terms of a high reliability of a healthy life or the social sustainability of human beings. Air pollution can have various adverse or deleterious effects on human health. Respiratory diseases such as asthma, the subject of this study, are especially regarded as ‘directly affected’ by air pollution. Since such pollution is derived from the combined effects of atmospheric pollutants and meteorological environmental factors, and it is not easy to estimate its influence on feasible respiratory diseases in various atmospheric environments. Previous studies have used clinical and cohort data based on relatively a small number of samples to determine how atmospheric pollutants affect diseases such as asthma. This has significant limitations in that each sample of the collections is likely to produce inconsistent results and it is difficult to attempt the experiments and studies other than by those in the medical profession. This study mainly focuses on predicting the actual asthmatic occurrence while utilizing and analyzing the data on both the atmospheric and meteorological environment officially released by the government. We used one of the advanced analytic models, often referred to as the vector autoregressive model (VAR), which traditionally has an advantage in multivariate time-series analysis to verify that each variable has a significant causal effect on the asthmatic occurrence. Next, the VAR model was applied to a deep learning algorithm to find a prediction model optimized for the prediction of asthmatic occurrence. The average error rate of the hybrid deep neural network (DNN) model was numerically verified to be about 8.17%, indicating better performance than other time-series algorithms. The proposed model can help streamline the national health and medical insurance system and health budget management in South Korea much more effectively. It can also provide efficiency in the deployment and management of the supply and demand of medical personnel in hospitals. In addition, it can contribute to the promotion of national health, enabling advance alerts of the risk of outbreaks by the atmospheric environment for chronic asthma patients. Furthermore, the theoretical methodologies, experimental results and implications of this study will be able to contribute to our current issues of global change and development in that the meteorological and environmental data-driven, deep-learning prediction model proposed hereby would put forward a macroscopic directionality which leads to sustainable public health and sustainability science. Full article
(This article belongs to the Special Issue Ambidextrous Open Innovation for Sustainability)
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Other

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Open AccessHypothesis
Innovative Resources, Promotion Focus and Responsible Innovation: The Moderating Roles of Adaptive Governance
Sustainability 2020, 12(7), 2860; https://doi.org/10.3390/su12072860 - 03 Apr 2020
Cited by 1
Abstract
This paper discusses the relationship between innovative resources, promotion focus, adaptive governance and responsible innovation. In accordance with the path of “demand—motivation—behavior”, this paper takes adaptive governance as the moderator, and constructs an influence relationship model of “innovative resources—promotion focus (adaptive governance)—responsible innovation”. [...] Read more.
This paper discusses the relationship between innovative resources, promotion focus, adaptive governance and responsible innovation. In accordance with the path of “demand—motivation—behavior”, this paper takes adaptive governance as the moderator, and constructs an influence relationship model of “innovative resources—promotion focus (adaptive governance)—responsible innovation”. Then this paper takes 361 managers from above the middle management level and the technical personnel of enterprises as the investigation objects, and conducts empirical research by using the structural equation model. The results show that: (1) innovative resources have a significant positive impact on responsible innovation; (2) promotion focus partially mediates the effect of innovative resources on responsible innovation; (3) adaptive governance has a positive moderating effect on the relationship between innovative resources and responsible innovation. The results enrich the quantitative research of responsible innovation, reveal the internal mechanism of innovative resources affecting responsible innovation, provide a new way for technological innovation governance and provide a new way of thinking for the transformation from the traditional innovation paradigm into a sustainable innovation paradigm. Full article
(This article belongs to the Special Issue Ambidextrous Open Innovation for Sustainability)
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