{"title":"The Application of Quality Function Deployment to Smartwatches: The House of Quality for Improved Product Design","authors":"An Wun Lee, G. Lin, Wen-Hsun Kuo, Shin-Jye Lee","doi":"10.23919/PICMET.2017.8125413","DOIUrl":"https://doi.org/10.23919/PICMET.2017.8125413","url":null,"abstract":"Consumers are confused about the benefits of using Smartwatches due to the various insignificant functionalities included and the unclear value propositions promoted by Smartwatch manufacturers. In order to improve the quality of products and to provide features that can satisfy consumers' needs, technicians must understand the expectations of consumers. This paper recommends the use of quality function deployment (QFD), a method that integrates consumers' dynamic requirements with product designs, which can be represented using a House of Quality (HoQ) matrix diagram. Here, the unmet and uncovered needs of consumers relating to the Smartwatch are analyzed extensively using a questionnairebased survey. The opinions of consumers and technicians are then examined, and a HoQ diagram is constructed to evaluate the relationship between the Smartwatch's design attributes and its technical attributes. Finally, the attributes that need to be improved are listed in a suggested order of priority.","PeriodicalId":438177,"journal":{"name":"2017 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128133433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Dynamics of Patent Collaboration: The Case of Nanocomposite Materials","authors":"N. Islam, Sercan Ozcan","doi":"10.23919/PICMET.2017.8125284","DOIUrl":"https://doi.org/10.23919/PICMET.2017.8125284","url":null,"abstract":"Nano-composite materials are reported to be the smartest materials of the century due to the property combinations that were not found in conventional composites. Since nanocomposite materials are at an early phase of their lifecycles, an exploratory analysis on collaborations between actors seem to be important towards the generation and dissemination of the required knowledge for actually benefiting from nanocomposite applications. This study analyses the actors' patent collaboration structures and dynamics, and to identify the determinants of collaboration in the sector. Through the use of tech mining method and patent data on nano-composite materials (multi-dimensional nano-composites and single dimensional nanorods), the paper examines whether such collaborations in nano-composite materials affect national systems of innovation owing to its interdisciplinary type and its dispersion across scientific fields. The results indicate that Asian organizations have a significant advantage in developing strong collaborations networks, with the active involvement of large organisations. Linear (mono-linkage) collaborations among actors in the case of multi-dimensional nano-composites were appeared to be an effective model, revealed the stronger bonds particularly in Japan, China and South Korea. Whilst in single dimensional nanorods' case, more distribute and decentralised collaborations were appeared to be most efficient model, revealed the strongest bonds among actors.","PeriodicalId":438177,"journal":{"name":"2017 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115076774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Internet of Things Technology Diffusion Forecasts","authors":"Y. Marinakis, S. Walsh, R. Harms","doi":"10.23919/PICMET.2017.8125435","DOIUrl":"https://doi.org/10.23919/PICMET.2017.8125435","url":null,"abstract":"Prognosticators and pundits are forecasting an explosion over the next decade in the number of sensors connected to wired and wireless networks, also referred to as the Internet of Things. The challenge is that these sensor forecasts are being made without taking into account the infrastructure required to manufacture and operate the sensors. Financial forecasts of individual infrastructure components have been made, but they give point forecasts rather than diffusion curves. It is also often not clear what models these forecasters are using, as they are often in proprietary reports. The present study provides sensor and sensor infrastructure technology component diffusion forecasts using a sigmoidal model of product diffusion. A plurality of technology diffusion curves was computed, one for each sensor infrastructure component technology. To identify the potential lack of availability of a component or a set of components, the forecast curves were then examined for temporal commonalities and differences. Thus this study provides a method for forecasting an emerging technology.","PeriodicalId":438177,"journal":{"name":"2017 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126908730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Influencing Factors Analysis of 3D Printing Technology Diffusion Across Industries","authors":"Yuanyuan Shi, Lucheng Huang","doi":"10.23919/PICMET.2017.8125368","DOIUrl":"https://doi.org/10.23919/PICMET.2017.8125368","url":null,"abstract":"With the rapid development of technology, growing number of technology diffusion not only appears among different technology sectors, but also appears among different industry sectors. It shows high level of complexity. The influencing factors of technology diffusion is complicated and gradually become a hot academic research field. We take the 3D printing technology as the research object, using patent citation data computing industry association strength and building the VAR model that including the factors of technology diffusion degree, R&D investment, R&D organization, R&D staff, and market capacity. By collecting data from related statistical yearbook, conduct Granger causality test, impulse response and variance decomposition analysis to the above model. The empirical results show that volatility of the technology diffusion is influenced by itself and R&D investment, R&D organization, R&D staff, and market capacity. This effect is of certain continuity, but the influences of different factors on the technology diffusion have great difference.","PeriodicalId":438177,"journal":{"name":"2017 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126759225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Ontology Design for Automatic Evaluation of Web User Interface Usability","authors":"T. Robal, Jevgeni Marenkov, A. Kalja","doi":"10.23919/PICMET.2017.8125425","DOIUrl":"https://doi.org/10.23919/PICMET.2017.8125425","url":null,"abstract":"The rapid development of the Internet and associated technologies for content delivery has led to a situation where the Web can be accessed on a multitude of different platforms - from desktop computers, laptops and tablets to smart-phones, which have become a crucial part of our lives, raising the question of usability on this plethora of devices. Testing and validating user experience (UX) throughout the whole development process is costly. However, some of this work done by humans could be executed automatically starting in early development. In this paper we address web user interface (UI) automatic evaluation and in particular discuss the ontology design for capturing knowledge of web usability domain for UI evaluation.","PeriodicalId":438177,"journal":{"name":"2017 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131837564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Role of Strategic Orientation in Business Innovation","authors":"Chung-Shing Lee, Leong Chan, D. McNabb","doi":"10.23919/PICMET.2017.8125241","DOIUrl":"https://doi.org/10.23919/PICMET.2017.8125241","url":null,"abstract":"Focusing on technology-driven industries, this paper describes a model by which it is possible to identify and evaluate business strategies according to a matrix of four generic strategy categories. The model may assist in assuring that business functional strategies fit the requirement of the adopted business orientation. The model is illustrated by our interpretation of past and present strategies followed by leading firms in a variety of industries. We identify four generic categories of business strategic orientations: strategies designed to reallocate earnings or acquire greater market share, strategies that expand the profit pool by implementing innovations, strategies designed to readjust competitive positions in a declining market, or strategies designed to capitalize on \"the next big thing.\" Examples of hightech companies with one or more of these strategic orientations are provided. The framework presented in this article contributes to research in strategic management, and supports m anagers in making business decisions for high-tech companies.","PeriodicalId":438177,"journal":{"name":"2017 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114137719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Perspective of the 3D Printing Technology Applied on Medical Resource Integration and Service Innovation Business Model","authors":"James K. C. Chen, Hanna T. T. Do","doi":"10.23919/PICMET.2017.8125298","DOIUrl":"https://doi.org/10.23919/PICMET.2017.8125298","url":null,"abstract":"Clinical data shows that many oral cancers, car accidents and major accidental injuries cause to remove organs and limbs partially or completely due to incomplete physical appearance surgery. This is not only cause inconvenience to life, but also directly affects to patients' psychology and influences their job opportunities in the community. In the past, patients have been treated through Medical Equipment Company using the artificial prostheses or artificial organs. However, it was not give a sufficient result, which were a waste of time and money. Fortunately, nowadays, 3D printing technology provides opportunity for patients to solve their problems quickly with low financial burden. Indeed, 3D printing technology introduced by Nagoya Municipal Industrial Research Institute in 1982. Later, the industry applies this technology in prototype manufacturing and/or a convenient mold. Only a few years ago, 3D printing technology application started to use in the healthcare industry. This research creates one evaluation system of a hospital/organization purchasing 3D printing that it includes domain evaluation, criteria, and sub-criteria factors through AHP method processing. Analysis includes four evaluation domains, such as Novelty, Importance, Uncertainty, and Complexity. The result shows that \"Uncertainty\" (D3) domain is the best factor among four domains by AHP framework. \"Artificial limb-model\" is the first object on 3D printing in the current market. The result states that the 3D printing technology can be applied on medical models and innovation service of the business model.","PeriodicalId":438177,"journal":{"name":"2017 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114835329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cross-Domain Academic Paper Recommendation by Semantic Linkage Approach Using Text Analysis and Recurrent Neural Networks","authors":"K. Ravi, Junichiro Mori, I. Sakata","doi":"10.23919/PICMET.2017.8125417","DOIUrl":"https://doi.org/10.23919/PICMET.2017.8125417","url":null,"abstract":"In this digital age, free-flow and exchange of knowledge and information are of paramount importance. This is the prime reason why we decided to tackle cross-domain linkage. Firstly, we build a system which recommends scholarly academic papers based on the content of news article a user is reading using text analysis techniques. We perform a human expert evaluation to test the system for relevance. Our judges show good agreement with a kappa value of 0.869. To improve the quality of recommendations further, we use an RNN-LSTM model trained on Wikipedia to measure document relevance. We reorder a list of academic papers based on their semantic similarity with the input document using our RNN-LSTM model. Our model achieves a slightly better performance than one of the best document embedding techniques doc2vec (paragraph vector). To the best of our knowledge, ours is the first study linking the domains of News Media and Academic landscape, and bridging the knowledge-gap.","PeriodicalId":438177,"journal":{"name":"2017 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121029607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Study on the Development of Human Resources in Science and Technology in China","authors":"Hui Luo, Yuanxi Huang, Linjia Zhao","doi":"10.23919/PICMET.2017.8125249","DOIUrl":"https://doi.org/10.23919/PICMET.2017.8125249","url":null,"abstract":"Human resources in science and technology (HRST) is an important component of innovative talents. The amount, structure and efficiency of HRST in a country, determine the strength of national innovation and potential development in science and technology field. In China, the amount of HRST reached to 81.14 million with ranking the first in the world until the end of 2014. Obviously, the main body of HRST in China is the young people with the average age of 33.73, which means that China has entered the \"golden age of HRST bonus\" release. The education level of HRST in China is gradually improving, and the proportion of bachelor degree owners in the future will increasing. Highly educated HRST mainly gathered in the fields of education, public management, science and technology, financial. However, there are still some problems have to be concerned in the process of HRST development and utilization in China. They are mostly on the aspects of the relationship between the quality and efficiency, the differences among regions and the lack of global HRST utilization. Suggestions about how China develop its HRST better are discussed. And also combine some specific foreign countries' experience in the whole critical thinking process. Human resources in science and technology (HRST) is the richest and most precious strategic resource. Thus, the more China develop and utilize it's HRST fully, the more positive impact of HRST can be raised and released. In other words, the fully used of HRST could help with China's new drive in participating international competition, and new vigor to accelerate innovation-driven development strategy and \"science & technology innovation\"-centered comprehensive innovation.","PeriodicalId":438177,"journal":{"name":"2017 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128845327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Technology Connectivity: A Tool for the Selection, Recruitment and Enrolment of Potential Students in South African Universities","authors":"J. F. Agwa-Ejon, A. Pradhan","doi":"10.23919/PICMET.2017.8125282","DOIUrl":"https://doi.org/10.23919/PICMET.2017.8125282","url":null,"abstract":"Most of the higher academic institutions in the world have accustomed to automating manual application and registration processes to stay abreast with increasingly advancing information technology. Whilst the paper-based application would normally require a lot of work and time, the online process (paperless) speeds up the enrolment and registration process. This paper evaluates the usage and impact of online application and registration process in the enrolment of potential students in the University of Johannesburg (UJ), South Africa. The study revealed that the current online process is satisfactory. Ease of use, reduction in time and cost, no loss of documents, and accessibility of the process remotely anytime from anywhere were reported to be the major benefits of the online process. The study reported the positive impact of the current online process, however the process requires a continuous improvement in the future to address the issues raised by the respondents.","PeriodicalId":438177,"journal":{"name":"2017 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124391124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}