:::

詳目顯示

回上一頁
題名:物聯網開發平台經營策略暨服務創新之研究
作者:陳苔青
作者(外文):Chen. Tai-Ching
校院名稱:國立嘉義大學
系所名稱:企業管理學系
指導教授:吳泓怡
學位類別:博士
出版日期:2020
主題關鍵詞:物聯網開發平台經營策略服務創新Kano二維模式萃思法Internet of Thing (IoT) development platformBusiness strategyService innovationKano modelTheoria Resheneyva Isobretatelskehuh Zadach (TRIZ)
原始連結:連回原系統網址new window
相關次數:
  • 被引用次數被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:0
  • 共同引用共同引用:0
  • 點閱點閱:2
隨著全球物聯網(Internet of Things, IoT)蓬勃發展,物聯網應用類型與方式日趨廣泛,企業面臨少量多樣化的顧客需求,紛紛採取不同策略,以尋求新的成功商業模式,但是物聯網應用迄今尚未出現標準,致使物聯網開發平台之競爭愈趨激烈。物聯網具有開拓新市場與改變企業競爭地位的能力,故發掘並確實掌握物聯網開發平台策略選擇關鍵要素,提供滿足顧客需求之服務創新,則愈顯重要。鑑此,本研究主要建構以滿足顧客需求為導向之經營策略選擇關鍵要項評估暨服務創新分析模式,以有效提升物聯網開發平台顧客滿意及營運績效。本研究透過文獻彙整分析,進行四階段專家問卷調查:第一階段運用Kano二維模式針對物聯網開發平台顧客需求要素做屬性歸類;第二階段利用模糊德菲法(Fuzzy Delphi Method, FDM)篩選物聯網開發平台策略選擇關鍵要項;第三階段應用品質機能展開(Quality Function Deployment, QFD)結合灰關聯分析(Grey Relational Analysis, GRA) ,進行顧客需求要素與策略選擇要項關聯性分析,即以顧客需求為導向之策略選擇關鍵要項進行優先排序;第四階段運用萃思法(TRIZ)針對優先關鍵之物聯網開發平台經營策略評估要項,發展出適合物聯網開發平台服務創新設計之解決方案。經研究分析結果發現,可大幅提升顧客需求之「魅力品質」要素包括「客製化」、「數據分析」、及「異構連結」共三項,可作為物聯網開發平台最佳競爭武器。而以顧客需求為導向的物聯網開發平台經營策略選擇關鍵最優先的三項是「技術的攸關性」、「市場可行性」、及「技術的實用性」。最後,本研究應用TRIZ服務創新法則發展物聯網開發平台解決方案;即依重要物聯網開發平台關鍵經營策略要項,建構TRIZ服務創新法則綜合分析矩陣。本研究所提之分析模式除能提供物聯網開發平台經營者作為發展服務創新之實務應用外,亦可作為物聯網開發平台使用者(顧客)評選與政府相關單位政策制定重要參考。
The Internet of Things (IoT) is on the rise, and the types and methods of IoT applications are becoming more and more widespread. In view of the rapid development of the IoTs industry and the diversification of customer needs, enterprises have adopted different integration strategies in order to seek a successful business model. However, there has not been a consistent standard so far, and the competition for the integration of the IoT development platform (briefly, IoT platform) has become increasingly fierce. IoTs has the ability to open up new markets and change the competitive position of enterprise technology. Therefore, it is increasingly important to discover and precisely grasp the key factors affecting the strategy selection of the IoT platform and provide innovative services to meet customer requirements, so as to effectively reduce costs and increase profits. This study focuses on constructing an analytical model of business strategy selection and service innovation based on customer satisfaction analysis of the IoT platform to effectively enhance customer satisfaction and operational performance. Based on the synthesis of literature review, four stages of expert questionnaire surveys were conducted. In the first stage, the Kano model was used for the attribute classification of customer requirements (CRs) of IoT platform. In the second stage, the fuzzy Delphi method (FDM) was employed to screen the critical strategies of IoT platform. In the third stage, quality function deployment (QFD) combined with grey relational analysis (GRA) were applied to prioritize the key business strategies of IoT platform by relationship analysis among customer requirements and strategies. In the fourth stage, according to the TRIZ 40 innovation principles, innovative service solutions were developed to serve as important references of improvement of business strategy making and promotion of service quality for the IoT platform. According to the analysis results, “Customization”, “Data analysis”, and “Heterogeneous connection” are classified as “Attractive” factors that can greatly increase customer satisfaction, which can be adopted as the best competitive weapon for IoT platform. Moreover, the three most priorities of IoT platform strategies for customer requirements are “Technology relevance”, “Market feasibility”, and “Technical practicability”. Finally, this study developed the solutions applying TRIZ service innovation principles with illustrative examples as well as established a comprehensive analysis matrix of TRIZ service innovation based on the selected key strategies of IoT platform. The proposed analysis model can not only provide business operators of IoT platform as practical applications for developing innovative services, but also serve as an important reference for the selection of IoT platform for users (customers) and the formulation of relevant policies for government.
財團法人資訊工業策進會產業情報研究所(Market Intelligence & Consulting Institute, MIC)。2015。台灣廠商在物聯網的機與桃戰,http://edn.udn.com/ACT/2015/tech/images/06.pdf,檢索日期:2019年7月14日。
Afzal, B., Umair, M., Shah, G. A., & Ahmed, E. (2019). Enabling IoT platforms for social IoT applications: Vision, Feature mapping, and Challenges. Future Generation Computer Systems, 92, 718-731.
Agarwal, S., Dash, R., Behura, A., & Pani, S.K. (2019). Critical Analysis of Internet of Things Application Development Platforms. Intelligent Data Communication Technologies and Internet of Things. ICICI 2019. 391-400.
Ahmad, S., & Wong, K. Y. (2019). Development of weighted triple-bottom line sustainability indicators for the Malaysian food manufacturing industry using the Delphi method. Journal of Cleaner Production, 229, 1167-1182.
Altshuller, G. (1999). The Innovation Algorithm: TRIZ, Systematic Innovation and Technical Creativity. MA: Technical Innovation Center.
Asghari, P., Rahmani, A., & Javadi, H. H. S. (2019). Internet of Things applications: A systematic review. Computer Networks, 148, 241-261.
Ashton, K. (2009). That ‘internet of things’ thing. RFiD Journal, 22(7), 97-114.
Asif, M. (2015). A critical review of service excellence models: towards developing an integrated framework. Quality & Quantity, 49, 763-783.
Atlason, R. S., Stefansson, A. S., Wietz. M., & Giacalone, D. (2018). A rapid Kano-based approach to identify optimal user segments. Research in Engineering Design, 29, 459-467.
Avikal, S., Singh, R., & Rashmi, R. (2017). QFD and Fuzzy Kano model based approach for classification of aesthetic attributes of SUV car profile. Journal of Intelligent Manufacturing, Retrieved 2019/01/28, from: https://doi.org/10.1007/s10845-018-1444-5.
Babar, S., Mahalle, P., Stango, A., Prasad, N., & Prasad, R. (2010). Proposed security model and threat taxonomy for the Internet of Things (IoT). Communications in Computer and Information Science, 89, 420-429.
Barragan-Ferrer, J.-M., Negny, S., Damasius, J., Barragan-Ferrer, D., & Cizeikiene, D. (2019). TRIZ evolution trends as an approach for predicting the future development of the technological systems in the food industry. Environments, Management and Industrial Engineering, 247-278. https://doi.org/10.1007/978-3-319-93716-8_12.
Baumann, P., (2010). The OGC Web Coverage Processing Service (WCPS) standard. Geoinformatica, 14(4), 447-479.
Bello, O., & Zeadally, S. (2019). Toward efficient smartification of the Internet of Things (IoT) services. Future Generation Computer Systems, 92, 663-673.
Ben-Daya, M., Hassini, E., & Bahroun, Z. (2019). Internet of things and supply chain management: A literature review. International Journal of Production Research, 57(15-16), 4719-4742.
Bolar, A. A., Tesfamariam, S., & Sadiq. R. (2017). Framework for prioritizing infrastructure user expectations using Quality Function Deployment (QFD). International Journal of Sustainable Built Environment, 6, 16-29.
Bort, J. (2013). Cisco’s John Chambers Has Found A New $14 Trillion Market. Retrieved from http://www.businessinsider.com/ciscos-john-chambers-has-found-a-new-14-trillion-market-2013-5.
Boulos, M. N. K., & Al-Shorbaji, N. M. (2014). On the Internet of Things, smart cities and the WHO Healthy Cities. International Journal of Health Geographics, 13(10), 1-6.
Bradley, R., Jawahir, I. S., Murrell, N., & Whitney, J. (2017). Parallel design of a product and Internet of Things (IoT) architecture to minimize the cost of utilizing big data (BD) for sustainable value creation. Procedia CIRP, 61, 58-62.
Brill, J. (2014). The Internet of Things: Building trust and maximizing benefits through consumer control. Fordham Law Review, 83(1), 205-217.
Bughin, J., Chui, M., & Manyika, J. (2013). Ten IT-enabled business trends for the decade ahead. McKinsey Quarterly, McKinsey Global Institute.
Burkitt, F. (2014). A strategist’s guide to the Internet of Things. Strategy+Business, 77, 2-12.
Business Insider Intelligence. (2019). IoT Report: How Internet of Things technology growth is reaching mainstream companies and consumers. Retrieved From: https://www.businessinsider.com/internet-of-things-report.
Cardoso, J. F., Filho, N. C., & Miguel, P. A. C. (2015). Application of quality function deployment for the development of an organic product. Food Quality and Preference, 40, 180-190.
Chang, Y. P., Dong, X. B., & Sun, W. (2014). Influence of characteristics of the Internet of Things on consumer purchase intention. Social Behavior and Personality, 42(2), 321-330.
Chowdhury, M. H., & Quaddus, M. A. (2016). A multi-phased QFD based optimization approach to sustainable service design. International Journal of Production Economics, 171, 165-178.
Cicibaş, H., & Demir, K. A. (2016). Integrating Internet of Things (IoT) into enterprises: Socio-technical issues and guidelines. Management Information Systems Magazine, 1(3), 106-117.
Dalkey, N., & Helmer, O. (1963). An experimental application of the Delphi method to the use of experts. Management Science, 9, 458- 467.
Dawid H., Decker, R., Hermann, T., Jahnke, H., Klat, W., König, R., & Stummer, C. (2017). Management science in the era of smart consumer products: Challenges and research perspectives. CEJOR, 25, 203-230.
Decker, R., & Stummer, C. (2017). Marketing management for consumer products in the era of the Internet of Things. Advances in Internet of Things, 7(3), 47-70.
Dehe, B., & Bamford, D. (2017). Quality Function Deployment and operational design decisions –a healthcare infrastructure development case study. Production Planning & Control, 28(14), 1177-1192.
Deng, J. L. (1982). Control problems of grey systems. Systems & Control Letters, 1(5), 288-294.
Deng, J. L. (1989). Introduction to grey system. The Journal of Grey System, 1(1), 1-24.
Dijkman, R. M., Sprenkels, B., Peeters, P., & Janssen, A. (2015). Business models for the Internet of Things. International Journal of Information Management, 35(6), 672-678. http://www.triz-journal.com/archives/2003/08/e/05.pdf
Efe, B. (2019). Fuzzy cognitive map based quality function deployment approach for dishwasher machine selection. Applied Soft Computing Journal, 83, 105660.
Filyushkina, A., Strange, N., Löf, M., Ezebilo, E. E., & Boman, M. (2018). Applying the Delphi method to assess impacts of forest management on biodiversity and habitat preservation. Forest Ecology and Management, 409, 179-189.
El-Gazzar, R., Hustad, E., & Olsen, D. H. (2016). Understanding cloud computing adoption issues: A Delphi study approach. The Journal of Systems and Software, 118, 64-84.
European Telecommunications Standards Institute (ETSI). (2012). Machine-to-Machine communications (M2M); Applicability of M2M architecture to Smart Grid Networks; Impact of Smart Grids on M2M platform. Sophia-Antipolis, France.
Fiorineschi, L., Frillici, F. S., Rotini, F., & Tomassini, M. (2018). Exploiting TRIZ Tools for enhancing systematic conceptual design activities. Journal of Engineering Design, 29. Retrieved from https://doi.org/10.1080/09544828.2018.1473558
Fodor, M., & Brem, A. (2015). Do privacy concerns matter for Millennials? Results from an empirical analysis of location based services adoption in Germany. Computers in Human Behavior, 53, 344-353.
Gartner. (2015). Top 10 technology trends signal the digital mesh. Retrieved from http://www.gartner.com/smarterwithgartner/top-ten-technology-trends-signal-the-digital-mesh/.
Gates, B. (1995). The Road Ahead, N.Y.: Penguin Book USA Inc.
Galo, J. J.M., Macedo, M. N.Q., Almeida, L. A.L., & Lima, A. C.C. (2014). Criteria for smart grid deployment in Brazil by applying the Delphi method, Energy, 70, 605-611.
Gubbi, J., Buyya, R., Marusica, S., & Palaniswamia, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7), 1645-1660.
Hauser, J. R., & Clausing, D. (1988). The house of quality. Harvard Business Review, 66(3), 63-73.
Hoffmann, J., Heimes, P., & Senel, S. (2018). IoT Platforms for the Internet of Production. IEEE Internet of Things Journal, Citation information: DOI 10.1109/JIOT.2018.2875594, 1-8.
Hsu, C., & Lin, C. (2016). An empirical examination of consumer adoption of Internet of Things services: Network externalities and concern for information privacy perspectives. Computers in Human Behavior, 62, 516-527.
Huang, K.-L., Chen, K.-H., & Ho C.-H. (2014). Promoting in-depth reading experience and acceptance: design and assessment of Tablet reading interfaces. Behaviour & Information Technology, 33(6), 606-618.
Huang, Z., Luo, Y., & Wang, D. (2018). Online customer service quality of online shopping: evidence from Dangdang.com. Cluster Computing. Retrieved from https://doi.org/10.1007/s10586-018-2565-5.
Huo, Y., Qiu, P., Zhai, J., Fan, D., & Peng, H. (2018). Multi-objective service composition model based on cost-effective optimization. Applied Intelligence, 48(3), 651-669.
Hwang, C. L. & Lin, M. L. (1987). Group decision marking under multiple criteria. Springer-Verlag, New York.
International Data Group (IDC). (2019). IDC Forecasts Worldwide Spending on the Internet of Things to Reach $745 Billion in 2019, Led by the Manufacturing, Consumer, Transportation, and Utilities Sectors. Retrieved from ttps://www.idc.com/getdoc.jsp?containerId=prUS44596319.
International Telecommunication Union (ITU) (2005). ITU Internet Reports 2005: The Internet of Things. The International Communication Union (ITU), Geneva.
Ishikawa, A., Amagasa, M., Shiga, T., Tomizawa, G., Tatsuta, R., & Mieno, H. (1993). The max-min Delphi method and fuzzy Delphi method via fuzzy integration. Fuzzy Sets and Systems, 55(2), 241-253.
Jeeradist, T., Thawesaengskulthai, N., Sangsuwan T. (2016). Using TRIZ to enhance passengers' perceptions of an airline's image through service quality and safety. Journal of Air Transport Management, 53, 131-139.
Jorge, E., Félix, F., Brenda, L., Larysa, & María A. (2017). Tracking the evolution of the internet of things concept across different application domains. Sensors (Basel), 176(6), 1379, 1-24.
Jiang, J-C., Sun, P., & Chou, Y-J. (2012) Two main cognitive gaps by using TRIZ and tools in service system design. International Journal of Services, 4(4), 317-330.
Jiang, J-C., Sun, P., & Cheng, C-Y. (2013), TRIZ contradiction parameter options for Service System Design (SSD), Journal of Statistics and Management Systems, 13(6), 1343-1361.
Kano, N. (1995). Upsizing the organization by attractive quality creation. Total Quality Management, Springer Netherlands, 60-72.
Kano, N., Seraku, N., Takahashi, F., & Tsuji, S. (1984). Attractive quality and must-be quality. Journal of the Japanese Society for Quality Control, 41, 39-48.
Kauko, K. & Palmroos, P. (2014). The Delphi method in forecasting financial markets-An experimental study. International Journal of Forecasting, 30, 313-327.
Kaur, N., & Sood, S. K. (2015). Cognitive decision making in smart industry. Computers in Industry, 74, 151-161.
Kayam. (2018). 40 Inventive Principles in Quality Management. Retrieved from https://triz-journal.com/40-inventive-principles-quality-management/.
Keshanchi, B., Souri, A., & Navimipour, N. J. (2017). An improved genetic algorithm for task scheduling in the cloud environments using the priority queues: Formal verification, simulation, and statistical testing. Journal of Systems and Software, 124, 1-21.
Kim, J. M., & Choi, S. B. (2017). An integrated application of Kano’s model and AHP to Korean online open market services. Multimed Tools Appl, 76(19), 19621-19634.
Konu, H. (2015). Developing nature-based tourism products with customers by utilizing the Delphi method. Tourism Management Perspectives, 14, 42-54.
Kowalska, M., Pazdzior, M., & Krzton-Maziopa, A. (2018). Implementation of QFD method in quality analysis of confectionery products. Journal of Intelligent Manufacturing, 29, 439-447.
Krotov, V. (2017). The Internet of Things and new business opportunities. Business Horizons, 60, 831-841
Kuo, Y. F., & Chen, P. C. (2008). Constructing performance appraisal indicators for mobility of the service industries using fuzzy Delphi method. Expert Systems with Applications, 35(4), 1930-3939.
Lam, J. S. L., & Bai, X. (2016). A quality function deployment approach to improve maritime supply chain resilience. Transportation Research Part E, 92, 16-27.
Lam, J. S. L., & Zhang, X. (2019). Innovative solutions for enhancing customer value in liner shipping. Transport Policy, 82, 88-95.
Lee, I. (2019). The Internet of Things for enterprises: An ecosystem, architecture, and IoT service business model. Internet of Things, 7, 100078. Retrieved from https://doi-org.ezproxy.lib.ncyu.edu.tw/10.1016/j.iot.2019.100078.
Lee, C., Wang, C., Kim, E., & Helal, S. (2017). Blueprint Flow: A Declarative Service Composition Framework for Cloud Applications. IEEE Access, 5, 17634-17643.
Lee, C.-H., Wang, Y.-H., & Trappey, A. J.C. (2015). Service design for intelligent parking based on theory of inventive problem solving and service blueprint. Advanced Engineering Informatics, 29, 295-306.
Lee, I., & Lee, K. (2015). The Internet of Things (IoT): Applications, investments, and challenges for enterprises. Business Horizons, 58(4), 431-440.
Lee, J. D., Yoon, T. S., Chung, S. H., & Cha, H. S. (2015). Service-oriented security framework for remote medical services in the internet of things environment. Healthcare Informatics Research, 21(4), 271-282.
Lee, C.-H., Zhao, X., & Lee, Y.-C. (2019). Service quality driven approach for innovative retail service system design and evaluation: A case study. Computers & Industrial Engineering, 135, 275-285.
Leminen, S., Rajahonka, M., Wendelin, R., & Westerlund, M. (2019). Industrial internet of things business models in the machine-to-machine context. Industrial Marketing Management, Retrieved from https://doi.org/10.1016/j.indmarman.2019.08.008.
Li, S. C., Xu, L. D., & Zhao, S. S. (2015). The Internet of Things: A survey. Information Systems Frontiers, 17(2), 243-259.
Li, X. (2017). KANO quality attribute classification method based on trapezoidal fuzzy number similarity measures. Journal of Intelligent & Fuzzy Systems, 33(5), 2869-2876.
Li, Y., Hou, M., Liu, H., & Liu, Y. (2012). Towards a theoretical framework of strategic decision, supporting capability and information sharing under the context of Internet of Things. Information Technology and Management, 13(4), 205-216.
Lin, C. S., & Su, C. T. (2007). An innovative way to create new services: Applying the TRIZ methodology. Journal of the Chinese Institute of Industrial Engineers, 24(2), 142-152.
Lin, F.-H., Tsai, S.-B., Lee, Y.-C., Hsiao, C.-F., Zhou. J., Wang, J, & Shang, Z. (2017). Empirical research on Kano's model and customer satisfaction. PLOS ONE, Retrieved from https://doi.org/10.1371/journal.pone.018388.8.
Lindtner, S. (2014). Hackerspaces and the Internet of Things in China: How makers are reinventing industrial production, innovation, and the self. China Information, 28(2), 145-167.
Linstone, H. A. (1978). The delphi technique. In J.Fowless (Ed.), Handbook of futures research, 273-300, London: Greenwood Press.
Liu, W., Tan, R.-H., Dong, Y.-F., Cao, G., & Liu, L., (2018). A Creative Design Approach Based on TRIZ and Knowledge Fusion. 18th TRIZ Future Conference (TFC): Oct 2018, Strasbourg, France, 167-179.
Lu, Y., Papagiannidis, S., & Alamanos, E. (2018). Internet of Things: A systematic review of the business literature from the user and organisational perspectives. Technological Forecasting and Social Change, 136, 285-297.
Ly, P. T. M., Lai, W. H., Hsu, C. W., & Shihc, F. Y. (2018). Fuzzy AHP analysis of Internet of Things (IoT) in enterprises. Technological Forecasting & Social Change, 136, 1-13.
MacGillivray, C., Turner, V., Lund, D. (2013). Worldwide Internet of Things (IoT) 2013-2020 Forecast: Billions of Things, Trillions of Dollars. IDC, 243661(3), 1-22.
Mann, D., & Domb, E. (1999). 40 Inventive (Business) Principles with Examples. The TRIZ Journal. Web: https://triz-journal.com/40-inventive-business-principles -examples/.
Mann, D. L. (2006). Case Studies from a Breakthrough Innovation Product Design Program for Local Industries. The TRIZ Journal, Retrieved from http://www.triz-journal.com/archives/2006/09/2006-09.pdf
Mansoor, M., Mariun, N., & AbdulWahab, N. (2017). Innovating problem solving for sustainable green roofs: Potential usage of TRIZ – Theory of inventive problem solving. Ecological Engineering, 99, 209-221.
Markets and Markets. (2017). Internet of Things Technology Market by Node Component (Processor, Sensor, Connectivity IC, Memory Device, and Logic Device), Network Infrastructure, Software Solution, Platform, Service, End-use Application, and Geography - Global Forecast to 2022. Retrieved from https://www.marketsandmarkets.com/Market-Reports/iot-application-technology-market-258239167.html.
Mary, M. (2016), From Strategy to Action: Driving IoT to Industrial Scale.” Cognizant, 9(1), 1-8.
Matzler, K., & Hinterhuber, H. H. (1998). How to make product development projects more successful by integrating Kano’s model of customer satisfaction into quality function deployment. Technovation, 18(1), 25-38.
McAfee, A., & Brynjolfsson, E. (2012). Big data: The management revolution. Harvard Business Review, 90(10), 60-68.
Metallo, C., Agrifoglio, R., Schiavone, F., & Mueller, J. (2018). Understanding business model in the Internet of Things industry. Technological Forecasting & Social Change, 136, 298-306.
Miao, Y., Liu, Y., & Chen, Y. (2015). Determination of target values of engineering characteristics in QFD using uncertain programming. Journal of Uncertainty Analysis and Applications, 3(1), 16.
Mitic, V. V., Petkovic, D., Kocic, L. (2016). TRIZ Creativity Approach to the Design of an Innovative Wind Turbine System. TRIZ Creativity Approach to the Design, 283-305.
Mineraud, J., Mazhelis, O., Su, X., & Tarkoma, S. (2016). A gap analysis of Internet-of-Things platforms. Computer Communications, 80-89, 5-16.
Moon, H., Han, S. H. (2016). A creative idea generation methodology by future envisioning from the user experience perspective. International Journal of Industrial Ergonomics, 56, 84-96.
Moussa, F. Z. B., Rasovska, I., Dubois, S., Guio, R. D., & Benmoussa R. (2017). Reviewing the use of the theory of inventive problem solving (TRIZ) in green supply chain problems. Journal of Cleaner Production, 142, 2677-2692.
Mozuni, M., & Jonas, W. (2017). An introduction to the morphological delphi method for design: a tool for future-oriented design research. The Journal of Design, Economics, and Innovation, 3(4), 303-318.
Ng, I., Scharf, K., Pogrebna, G., & Maull, R. (2015). Contextual variety, Internet-of-Things and the choice of tailoring over platform: Mass customization strategy in supply chain management. International Journal of Production Economics, 159, 76-87.
Nguyen, B., & Simkin, L. (2017). The Internet of Things (IoT) and marketing: the state of play, future trends and the implications for marketing. Journal of Marketing Management, 33, 1-12.
Nitti, M., Girau, R., & Atzori, L. (2014). Trustworthiness management in the social Internet of Things. IEEE Transactions on Knowledge and Data Engineering, 26(5), 1253-1266.
Nolin, J., & Olson, N. (2016). The internet of things and convenience. Internet Research, 26(2), 360-376.
Nunnally, J. C. (1978). Assessment of reliability. In: Psychometric Theory, 245. New York: McGraw-Hill.
Organisation for Economic Co-operation and Development (OECD). (2015). OECD Digital Economy Outlook 2015. Retrieved from http://dx.doi.org/10.1787/9789264232440-en, citing shodan, www.shadanhq.com.
Ondemir, O., & Gupta, S. M. (2014). Quality management in product recovery using the Internet of Things: An optimization approach. Computers in Industry, 65(3), 491-504.
Orman, H., & Streak, P. (2015). The research horizon: Four nearly practical concepts. Internet Computing, 19(5), 92-95.
Ou, W., Huynha, V.-N., & Sriboonchittab, S. (2018). Training attractive attribute classifiers based on opinion features extracted from review data. Electronic Commerce Research and Applications, 32, 13-22.
Pacheco, D. A. J., Caten, C. S., Jung, C. F., Navas, H. V. G., Cruz-Machado V. A., Tonetto, L. M. (2019). State of the art on the role of the Theory of Inventive Problem Solving in Sustainable Product-Service Systems-Past Present and Future. Journal of Cleaner Production, 212, 489-504.
Patel, K. K., & Patel, S.M. (2016). Internet of things-IoT: definition, characteristics, architecture, enabling technologies, application & future challenges. International Journal of Engineering Science and Computing, 6(5), 6122-6131.
Peppet, S. R. (2014). Regulating the Internet of Things: First steps toward managing discrimination, privacy, security, and consent. Texas Law Review, 93(1), 85-178.
Prince, K., Barrett, M., & Oborn, E. (2014). Dialogical strategies for orchestrating strategic innovation networks: The case of the Internet of Things. Information and Organization, 24(2), 102-167.
Restuccia, F., D'Oro, S., & Melodia, T. (2018). Securing the Internet of Things in the age of machine learning and software-defined networking. IEEE Internet of Things Journal, 1(1), 1-14.
Retseptor, G. (2007). 40 inventive principles in customer satisfaction enhancement. The TRIZ Journal, January.
Roman, R., Najera, P., & Lopez, J. (2011). Securing the Internet of Things. Computer, 44(9), 51-58.
Roman, R., Zhou, J., & Lopez, J. (2013). On the features and challenges of security and privacy in distributed Internet of Things. Computer Networks, 57(10), 2266-2279.
Rowe, G., Wright, G., & Bolger, F. (1991). The Delphi Technique: A re-evaluation of research and theory, Technological Forecasting and Social Change, 39(3), 235-251.
Saarikko, T., Westergren, U. H., & Blomquist, T. (2017). The Internet of Things: Are you ready for what’s coming? Business Horizons, 60(5), 667-676.
Sakashita, A., Kizawa, Y., Kato, M., Akizuki, N., Nakazawa, Y., Kaizu, M., Yano, K., Sato, T., & Tokoro, A. (2018). Development of a Standard for Hospital-Based Palliative Care Consultation Teams in Japan Using a Modified Delphi Method. Journal of Pain and Symptom Management, 56(5), 746-751.
Salim, F., & Haque, U. (2015). Urban computing in the wild: A survey on large scale participation and citizen engagement with ubiquitous computing, cyber physical systems, and Internet of Things. International Journal of Human-Computer Studies, 81, 31-48.
Sayar, D., & Er, O. (2018). The Antecedents of Successful IoT Service and System Design: Cases from the Manufacturing Industry. International Journal of Design, 12(1), 67-78. Retrieved from: http://www.ijdesign.org/index.php/IJDesign/article/view/3006/805.
Scully, P. (2018). IOT Platforms Market Report 2018-2023. IOT Analytics GmbH, Retrieved from http://www.iot-analytics.com.
Seo, Y.-J., & Um, K.-H. (2019). The asymmetric effect of fairness and quality dimensions on satisfaction and dissatisfaction: An application of the Kano model to the interdisciplinary college program evaluation. Studies in Educational Evaluation, 61, 183-195.
Shahin, A., Iraj, E. B., & Shahrestani, V. S. (2016). Developing House of Quality by integrating top roof and side roof matrices and service TRIZ with a case study in banking services. The TQM Journal, 28(4), 597-612.
Shannon, C. E., & Weaver, W. (1949). The mathematical theory of communication. Urbana, IL: The University of Illinois Press, 1-117.
Shnai, I. (2018). Digital learning design: from ideation via TRIZ to implementation. In Advances and Impacts of the Theory of Inventive Problem Solving (pp. 1-16). Springer, Cham.
Sicari, S., Rizzardi, A., Grieco, L.A., & Coen-Porisini, A. (2015). Security, privacy and trust in Internet of Things: The road ahead. Computer Networks, 76, 146-164.
Silva, J. D. C., Rodrigues, J. J., Al-Muhtadi, J., Rabêlo, R. A., & Furtado, V. (2019). Management platforms and protocols for Internet of Things: A survey. Sensors, 19(3), 676.
Souri, A., Asghari, P., & Rezaei, R. (2017). Software as a service based CRM providers in the cloud computing: Challenges and technical issues. Journal of Service Science Research, 9(2), 219-237.
Sousa-Zomer, T. T., & Miguel, P. A. C. (2017). A QFD-based approach to support sustainable product-service systems conceptual design. Int J Adv Manuf Technol, 88,701-717.
Su, C.-T., Lin, C.-S., & Chiang, T.-L. (2008). Systematic improvement in service quality through TRIZ methodology: An exploratory study. Total Quality Management, 19, 223-243.
Sullivan, L. P. (1986). Quality function deployment. Quality Progress, 19(6), 39-50.
Sundmaeker, H., Guillemin, P., Friess, P., & Woelfflé, S. (2010). Vision and challenges for realising the Internet of Things. Publications Office of the European Union.
Tahriri, F., Mousavi, M., Haghighi, S. H., & Dawal, S. Z. M. (2014). The application of fuzzy Delphi and fuzzy inference system in supplier ranking and selection. Journal of Industrial Engineering International, 10(3), 66.
Talavera, J. M., Tobón, L. E., Gómez, J. A., Culman, M. A., Aranda, J. M., Parra, D. T., Quiroz, L. A., Hoyos, A., & Garreta, L. E. (2017). Review of IoT applications in agro-industrial and environmental fields. Computers and Electronics in Agriculture, 142(A), 283-297.
Tesch, J. F., Brillinger, A., & Bilgeri, D. (2017). IoT Business model innovation and the stage-gate process: An exploratory analysis. International Journal of Innovation Management (IJIM), 21(5), 1-16.
Ting, C., & Yi, F. M. (2013). ICT policy for the “socialist new countryside”-A case study of rural informatization in Guangdong, China. Telecommunications Policy, 37(8), 626-638.
Trappey, A. J.C., Trappey, C. V., Fan, C.-Y., & Lee, I. J.Y. (2018). Consumer driven product technology function deployment using social media and patent mining. Advanced Engineering Informatics, 36, 120-129.
Violante, M. G., & Vezzetti, E. (2017). Kano qualitative vs quantitative approaches: An assessment framework for products attributes analysis. Computers in Industry, 86, 15-25.
Wan, J., & Zeng, M. (2015). Research on key success factors model for innovation application of Internet of Things with grounded theory. Association for Information Systems, AIS Electronic Library (AISeL), 646-654.
Wang, Y.-H., Lee, C.-H., & Trappey, A. J. C. (2017). Service design blueprint approach incorporating TRIZ and service QFD for a meal ordering system: A case study. Computers & Industrial Engineering, 107, 388-400.
Weber, R. H. (2013). Internet of Things - Governance quo vadis?. Computer Law & Security Review, 29(4), 341-347.
Weber, R. H. (2015). Internet of Things: Privacy issues revisited. Computer law & Security review, 31(5), 618-627.
Weinberg, B. D., Milne, G. R., Anonova, Y. G., & Hajjat, F. M. (2015). Internet of Things: Convenience vs. privacy and secrecy. Business Horizons, 58(6), 615-624.
Westerbeek, J. (2016). The perceived customer satisfaction of the Fitbit activity tracker: The Internet of Things as a potential business marketing tool. 7th IBA Bachelor Thesis Conference, July 1st, Enschede, the Netherlands, 1-12.
Winter, J. S. (2014). Surveillance in ubiquitous network societies: Normative conflicts related to the consumer in-store supermarket experience in the context of the Internet of Things. Ethics and Information Technology, 16(1), 27-41.
Yadav, H. C., Jain, R., Singh, A. R., & Mishra, P. K. (2017). Kano integrated robust design approach for aesthetical product design: A case study of a car profile. Journal of Intelligent Manufacturing, 28, 1709-1727.
Yang, C.-L., & Hsu, H.-K. (2019). Optimized New Product Development Strategy. International Journal of Organizational Innovation, 12, 110-121.
Yang, S., Lu, Y., Gupta, S., & Cao, Y. (2012). Does context matter? The impact of use context on mobile Internet adoption. International Journal of Human-Computer Interaction, 28(8), 530-541.
Yu, J., Subramanian, N., Ning, K., & Edwards, D. (2015). Product delivery service provider selection and customer satisfaction in the era of Internet of Things: A Chinese e-retailers’ perspective. International Journal of Production Economics, 159, 104-116.
Zhang, J. (2017). Evaluating regional low-carbon tourism strategies using the fuzzy Delphi- analytic network process approach. Journal of Cleaner Production, 141, 409-419.
Zhang, Y. C., & Yu, J. (2013). A Study on the Fire IoT Development Strategy. Procedia Engineering, 52, 314-319.
Zhao, S., Zhang, Q., Peng, Z., & Fan, Y. (2020). Integrating customer requirements into customized product configuration design based on Kano’s model. Journal of Intelligent Manufacturing, 31(3), 597-613.
Zhou, W., & Piramuthu, S. (2015). Information relevance model of customized privacy for IoT. Journal of business ethics, 131(1), 19-30.
 
 
 
 
第一頁 上一頁 下一頁 最後一頁 top
QR Code
QRCODE