Special Issue "Electronics and Dynamic Open Innovation"

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: closed (30 December 2019).

Special Issue Editors

Prof. Dr. JinHyo Joseph Yun *
Website
Guest Editor
Prof. Dr. DaeCheol Kim
Website
Guest Editor
School of Business, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Korea
Interests: open innovation of industrial engineering; project management; supply chain management; production planning and control; healthcare operations management; service operations management
Prof. Dr. Min-Ren Yan
Website
Guest Editor
Department of International Business Administration, Chinese Culture University, Taipei, Taiwan
Interests: system dynamics of open innovation

Special Issue Information

Dear Colleagues,

As the fourth industrial revolution arrives, not just the IT sector, but all industries, including smart city, autonomous car, intelligent robot, and block chains, are moving to become electronic industries. In addition, the sharing economy, which is opposed to owning economy and market- and crowd-based products in the sharing economy, is expanded to all industries with the extensions of electronic platforms, like Uber, Airbnb, Justpark, LiquidSpace, Getaround, BlaBlaCar, Etsy, Eatwith, Fon, TaskRabbity, Skillshare, Yayable, and so on.

Thus, dynamic open innovation between electronic technologies and markets are appearing as the requisite for firms of all types, such as start-ups, SMEs, or MNCs, in order to succeed in the fourth industrial revolution.

In order to encourage scientists and researchers to present their progress in the above fields, we would like to set up this Special Issue to publish the latest research work on, but not limited to, the following topics:

  • second IT revolution;
  • dynamic open innovation;
  • smart city;
  • autonomous car;
  • intelligent robot;
  • block chain to sharing economy;

In addition, the authors of the papers, which will be presented at SOItmC 2019, being organized at Meijo University, Nagoya, Japan, on 28 June–1 July 2019, are invited to submit their extended versions to this Special Issue of the Journal Electronics after the conference. Submitted papers should be extended to the size of regular research or review articles, with at least a 50% extension of new results. There are no page limitations for this journal.

Open for SOItmC 2019 authors: 1 July 2019

Any SOItmC 2019 authors in addition to the planned papers can submit to this special issue after full paper submission to SOItmC 2019 platfrom and paying the registration fee until 31 May 2019.

Close: 31 December 2019

Prof. Dr. JinHyo Joseph Yun
Prof. Dr. DaeCheol Kim
Prof. Dr. Min-Ren Yan
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. Electronics is an international peer-reviewed open access monthly 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 1500 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

  • electronics
  • open innovation
  • business model
  • artificial intelligence
  • autonomous car
  • big data
  • intelligent robot
  • smart city
  • block chain
  • sharing economy

Published Papers (6 papers)

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Editorial

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Open AccessEditorial
Open Innovation Engineering—Preliminary Study on New Entrance of Technology to Market
Electronics 2020, 9(5), 791; https://doi.org/10.3390/electronics9050791 - 11 May 2020
Cited by 20
Abstract
As engineering is required to answer directly and more heartily than before the requirement of society and markets, we want to answer the following questions. What kind of open innovation channels exist, and how can these channels operate as a knowledge funnel to [...] Read more.
As engineering is required to answer directly and more heartily than before the requirement of society and markets, we want to answer the following questions. What kind of open innovation channels exist, and how can these channels operate as a knowledge funnel to conquer the growth limit of capitalism in the 4th industrial revolution? At first, we built up the concept model of open innovation engineering from a conceptual experiment and attempted to prove this model by literature reviews. Second, we applied this open innovation concept model at the papers of Society of Open Innovation: Technology, Market, and Complexity (SOI) 2019 Special Issues of Electronics as a preliminary study. Additional field researches on each open innovation engineering channel in addition to research on finding out more open innovation engineering channels are required. Full article
(This article belongs to the Special Issue Electronics and Dynamic Open Innovation)
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Research

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Open AccessArticle
Development of the Road Pavement Deterioration Model Based on the Deep Learning Method
Electronics 2020, 9(1), 3; https://doi.org/10.3390/electronics9010003 - 18 Dec 2019
Cited by 3
Abstract
In Korea, data on pavement conditions, such as cracks, rutting depth, and the international roughness index, are obtained using automatic pavement condition investigation equipment, such as ARAN and KRISS, for the same sections of national highways annually to manage their pavement conditions. This [...] Read more.
In Korea, data on pavement conditions, such as cracks, rutting depth, and the international roughness index, are obtained using automatic pavement condition investigation equipment, such as ARAN and KRISS, for the same sections of national highways annually to manage their pavement conditions. This study predicts the deterioration of road pavement by using monitoring data from the Korean National Highway Pavement Management System and a recurrent neural network algorithm. The constructed algorithm predicts the pavement condition index for each section of the road network for one year by learning from the time series data for the preceding 10 years. Because pavement type, traffic load, and environmental characteristics differed by section, the sequence lengths (SQL) necessary to optimize each section were also different. The results of minimizing the root-mean-square error, according to the SQL by section and pavement condition index, showed that the error was reduced by 58.3–68.2% with a SQL value of 1, while pavement deterioration in each section could be predicted with a high coefficient of determination of 0.71–0.87. The accurate prediction of maintenance timing for pavement in this study will help optimize the life cycle of road pavement by increasing its life expectancy and reducing its maintenance budget. Full article
(This article belongs to the Special Issue Electronics and Dynamic Open Innovation)
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Open AccessArticle
A Comparative Study of Digital Government Policies, Focusing on E-Government Acts in Korea and the United States
Electronics 2019, 8(11), 1362; https://doi.org/10.3390/electronics8111362 - 17 Nov 2019
Cited by 2
Abstract
The first enactment of a single national e-government act took place in Korea in 2001. Subsequently, the United States enacted its electronic government act in November 2002. Unified e-government acts in Korea and the United States have since been established and enforced for [...] Read more.
The first enactment of a single national e-government act took place in Korea in 2001. Subsequently, the United States enacted its electronic government act in November 2002. Unified e-government acts in Korea and the United States have since been established and enforced for nearly two decades, and provide interesting case studies for examining the long-term influences of the e-government act on national e-government and digital government policies. The e-government act of the United States is much more comprehensive than the e-government act of Korea. The US e-government act focuses on strengthening the federal government’s ability to regulate the Office of Management and Budget (OMB)’s role in e-government implementation. The OMB has overall jurisdiction over the e-government promotion process and will continue to consult with ministries on appropriate budget support for each project. In contrast, the e-government law in Korea is based on electronic document processing as the basic viewpoint and has been downgraded to a level that supports document reduction and electronic processing of documents, rather than a comprehensive law that can support e-government projects. The comparative case study of e-government acts in Korea and the United States revealed that, from the standpoint of digital government transformation using information technology, it is most important to promote digital government policy directly from the ministry that manages the budget, or to establish a dedicated organization under the ministry to secure strong coordination while linking it with the budget. Full article
(This article belongs to the Special Issue Electronics and Dynamic Open Innovation)
Open AccessArticle
Evaluation of M-Payment Technology and Sectoral System Innovation—A Comparative Study of UK and Indian Models
Electronics 2019, 8(11), 1282; https://doi.org/10.3390/electronics8111282 - 04 Nov 2019
Cited by 2
Abstract
The paper constructs a sectoral system of innovation model specifically for the mobile payments (m-payments) sector. Both the UK and Indian sectoral system of innovation were studied in regards of the actors involved in providing the m-payment service with an emphasis on emergent [...] Read more.
The paper constructs a sectoral system of innovation model specifically for the mobile payments (m-payments) sector. Both the UK and Indian sectoral system of innovation were studied in regards of the actors involved in providing the m-payment service with an emphasis on emergent business models. We integrated open innovation and Ogle’s ideas into our model and demonstrated the importance of active agency in shaping innovation systems, for example in leveraging existing social networks. The research draws upon original interviews with companies and regulators in both India and the UK. Our overall conclusion is that the m-payments sectoral system of innovation in India is more customer-oriented and far-reaching as compared to the practices in UK. It concludes that no matter the context, the importance of integrating firms’ activity into integrated service systems in demand-driven innovation is key for success. Full article
(This article belongs to the Special Issue Electronics and Dynamic Open Innovation)
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Open AccessArticle
Can User Innovation Grow a Firm? The Case of the Korean Smart Media Industry
Electronics 2019, 8(10), 1114; https://doi.org/10.3390/electronics8101114 - 02 Oct 2019
Cited by 3
Abstract
With the rapid development of information and communications technology (ICT), smart society has arrived. The emergence of smart media has changed the user’s role. Broader communication coverage, faster Internet speeds, and an expanding application market promote user participation. Therefore, the role of users [...] Read more.
With the rapid development of information and communications technology (ICT), smart society has arrived. The emergence of smart media has changed the user’s role. Broader communication coverage, faster Internet speeds, and an expanding application market promote user participation. Therefore, the role of users in innovation has become more important than ever. In this rapidly changing environment, it has become important for firms to consider the role of users when developing innovation strategies. It is hard for a firm to maintain all abilities and resources amid this sudden change; therefore, firms have to develop their strategy considering the user’s role. For that reason, firms need to network with universities, researchers, firms, and users from the open innovation perspective. This study divides firm strategy into exploitation and exploration strategies in the value chain and identifies the effects of utilization strategy, exploration strategy, and the role of users in the smart media industry on firm performance. Full article
(This article belongs to the Special Issue Electronics and Dynamic Open Innovation)
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Open AccessArticle
Expressing Personalities of Conversational Agents through Visual and Verbal Feedback
Electronics 2019, 8(7), 794; https://doi.org/10.3390/electronics8070794 - 16 Jul 2019
Cited by 2
Abstract
As the uses of conversational agents increase, the affective and social abilities of agents become important with their functional abilities. Agents that lack affective abilities could frustrate users during interaction. This study applied personality to implement the natural feedback of conversational agents referring [...] Read more.
As the uses of conversational agents increase, the affective and social abilities of agents become important with their functional abilities. Agents that lack affective abilities could frustrate users during interaction. This study applied personality to implement the natural feedback of conversational agents referring to the concept of affective computing. Two types of feedback were used to express conversational agents’ personality: (1) visual feedback and (2) verbal cues. For visual feedback, participants (N = 45) watched visual feedback with different colors and motions. For verbal cues, participants (N = 60) heard different conditions of agents’ voices with different scripts. The results indicated that the motions of visual feedback were more significant than colors. Fast motions could express distinct and positive personalities. Different verbal cues were perceived as different personalities. The perceptions of personalities differed according to the vocal gender. This study provided design implications for personality expressions applicable to diverse interfaces. Full article
(This article belongs to the Special Issue Electronics and Dynamic Open Innovation)
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