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J. Open Innov. Technol. Mark. Complex., Volume 5, Issue 1 (March 2019)

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Open AccessArticle Efficiency Analysis of East Asian Zinc Smelters and the Effects of Capacity and Bonus Zinc on Efficiency
J. Open Innov. Technol. Mark. Complex. 2019, 5(1), 4; https://doi.org/10.3390/joitmc5010004
Received: 16 November 2018 / Revised: 11 January 2019 / Accepted: 14 January 2019 / Published: 16 January 2019
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Abstract
Non-ferrous metals are widely used as basic materials in various industrial fields, and zinc is a metal that is produced and used next to iron, aluminum, and copper. In this study, DEA (data envelopment analysis) was applied to measure the efficiency of 43
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Non-ferrous metals are widely used as basic materials in various industrial fields, and zinc is a metal that is produced and used next to iron, aluminum, and copper. In this study, DEA (data envelopment analysis) was applied to measure the efficiency of 43 zinc smelters in three countries in East Asia: Korea, China, and Japan. The constant returns to scale (CRS) and the variable returns to scale (VRS) models, and the slack-based measure (SBM) were used for the analysis. As a result of the efficiency analysis, there were three efficient zinc smelters in the CRS model, 14 in the VRS model and 14 in the SBM. The average efficiency was 0.458 based on the SBM, which indicates that there is room for improvement in efficiency. In addition, the average scale efficiency value was 0.689, showing the scale to be inefficient. Therefore, it can be seen that the labor cost and the energy cost must be brought to an appropriate level. The Tobit regression analysis was used to analyze the causes of efficiency. The greater the capacity and the larger amount of bonus Zn of the refinery, the higher the efficiency of the refinery. Full article
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Open AccessEditorial Acknowledgement to Reviewers of Journal of Open Innovation: Technology, Market, and Complexity in 2018
J. Open Innov. Technol. Mark. Complex. 2019, 5(1), 3; https://doi.org/10.3390/joitmc5010003
Published: 9 January 2019
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Abstract
Rigorous peer-review is the corner-stone of high-quality academic publishing [...] Full article
Open AccessArticle Model to Measure the Readiness of University Testing Laboratories to Fulfill ISO/IEC 17025 Requirements (A Case Study)
J. Open Innov. Technol. Mark. Complex. 2019, 5(1), 2; https://doi.org/10.3390/joitmc5010002
Received: 24 November 2018 / Revised: 1 January 2019 / Accepted: 2 January 2019 / Published: 6 January 2019
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Abstract
Universities are considered as a source of open innovations by producing new technology. The innovations need to be tested in licensed laboratories in order to create certified products if they are to be commercialized to the market. Many universities have established laboratories that
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Universities are considered as a source of open innovations by producing new technology. The innovations need to be tested in licensed laboratories in order to create certified products if they are to be commercialized to the market. Many universities have established laboratories that provide testing services to society and act as a revenue-generating source. Universitas Sebelas Maret (UNS) owns an accredited center laboratory that provides testing services to external parties. In addition, the university owns other laboratories in several faculties to conduct academic activities and research and yet provide testing services, but have not been accredited. Therefore, the laboratories have the potential to be developed as part of the testing service business to support the incubation process of new technology and provide testing services. In this article, we chose UNS, one of the universities in Indonesia, to develop a framework of readiness level measurement instrument, to evaluate the readiness and to suggest improvements for laboratories to achieve accreditation. A framework of laboratory readiness measurement was developed using integration of management approach and laboratory approach. Descriptive statistics were used to create a radar chart to determine the readiness level. Based on findings and evidence analysis, we proposed improvement planning using ISO 17025 and management concept. Full article
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Open AccessArticle Patterns of Learning in Dynamic Technological System Lifecycles—What Automotive Managers Can Learn from the Aerospace Industry?
J. Open Innov. Technol. Mark. Complex. 2019, 5(1), 1; https://doi.org/10.3390/joitmc5010001
Received: 26 October 2018 / Revised: 15 December 2018 / Accepted: 21 December 2018 / Published: 28 December 2018
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Abstract
Not only with respect to the common overlaps within the market of urban air mobility, but also in terms of their requirement profile with regard to the systemic core, all mobility industries are converging. This article focuses on the required patterns of learning
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Not only with respect to the common overlaps within the market of urban air mobility, but also in terms of their requirement profile with regard to the systemic core, all mobility industries are converging. This article focuses on the required patterns of learning in order to cope with these changes, and what automotive managers can learn from the aerospace industry in this context. As organizational learning is the central parameter of economic evolution, and technology develops over trajectory shifts, companies are, at the very least, cyclically forced to learn ambidextrously, or are squeezed out of the market. They have to act and react as complex adaptive systems in their changing environment. Especially in these dynamics, ambidextrous learning is identified to be a conditio sine qua non for organizational success. Especially the combination of efficiency-oriented internal exploitation with an explorative and external-oriented open innovation network turns out to be a superior strategy. By combining patent data, patent citation analysis and data on the European Framework Programs, we show that there are temporal differences, i.e., position of the product in the product, technique, technology, and industry life cycle. Furthermore, we draw a conclusion dependent on the systemic product character, which enforces different learning requirements concerning supply chain position and, as an overarching conclusion, we identify product structure to be decisive for how organizational learning should be styled. Full article
(This article belongs to the Special Issue Technology Driven Innovation, Research Management and Policy Making)
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J. Open Innov. Technol. Mark. Complex. EISSN 2199-8531 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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