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A Study on Business Types of IoT-based Smarthome: Based on the Theory of Platform Typology
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 Title & Authors
A Study on Business Types of IoT-based Smarthome: Based on the Theory of Platform Typology
Song, Minzheong;
  PDF(new window)
 Abstract
This paper aims to analyze the business types of 237 IoT based smart home companies in the world (launched during 1999~2014) which got global investment last few years. For this, the previous literatures trying to analze technology and service types of smart home are searched and the typology of the platform is discussed. Based on it, this research conceptualizes an analysis framework that includes three areas of smart home like home automation, home security, and energy efficiency with the three platform types like product, software, and service. This study concludes that the development of business type for IoT based smart home ecosystem is from the product to software and it can be a platform or not. In current status, there are a few platforms of product and software, but in the device management (16%) and thermostat (11%), companies are persuing more platform like. It is difficult to find the service platform in overall areas, for application based service has a few attractions in the investment market due to the lack of cloud infrastructure and data analytics. The following three are the implication to domestic market: 1) More active offering of API and SDK, 2) more active introduction of wireless Intenet network protocols, and 3) more active interoperability efforts and alliance activities are needed.
 Keywords
Smart Home;IoT;platform;open;home automation;home security;Energy efficiency;
 Language
Korean
 Cited by
1.
IoT 센서 시험 운용 시스템 설계 및 구현,채성윤;박진희;

한국인터넷방송통신학회논문지, 2016. vol.16. 5, pp.151-156 crossref(new window)
 References
1.
Park, Kwangro (2015). Home Network. Journal of TTA: 78-83.

2.
Chan, M., E.Campo, D. Esteve, and J.Y.Fourniols, C. Escriba (2009). Smart homes - current features and future perspectives, Maturitas, 64(2): 90-97 crossref(new window)

3.
Chan, M., D. Esteve, C. Escriba, and E.Campo (2008). A Review of smart homes - present state and future challenges, Computer Methods and Programs in Biomedicine, 91(1): 55-81. crossref(new window)

4.
Reinisch, C., M. J. Kofler, F. Iglesias, and W. Kastner (2011). Think home energy effiency in future smart homes, EURASIP Journal on Embedded Systems: 1-18

5.
Balta-ozkan, N., O. Amerighi, and B. Boteler (2014). A comparison of consumer perceptions towards smart homes in the UK, Germany and Italy: reflections for policy and future research, Technology Analysis & Strategic Management, Vol.26, No.10: 1176-1195. crossref(new window)

6.
Aldrich, F. K. (2003). Smart Homes: Past, Present and Future, Inside the Smart Home, edited by Richard Harper, 17-39, London: Springer.

7.
Park, S. H., S.H.Won, J.B. Lee, and S. W. Kim (2003). Smart Home - Digitally Engineered Domestic Life, Personal and ubiquitous Comuting, 7 (3-4): 189-196. crossref(new window)

8.
Bitterman, N. & Shach-Pinsly, D. (2015). Smart Home - a challenge for architects and designers, Architectural Science Review, Vol. 58, No.3, 266-274 crossref(new window)

9.
Kim, D.H., N.Lu, R.Ma, Y.S.Kim, R.H. Kim, S. Wang, J. Wu etal. (2011). Epidermal Electronics, Science, 333(6044): 838-843. crossref(new window)

10.
Chan, M., D. Esteve, J.Y.Fourniols, C. Escriba, and E.Campo (2012). Smart wearable systems: Current status and future challenges, Artificial Intelligence in Medicine, 56(3): 137-156 crossref(new window)

11.
Ding, D., R.A. Cooper, P.F. Pasquina, and L.Fici-Pasquina (2011). Sensor technology for smart home, Maturitas, 69(2): 1312-136.

12.
Labonnote, N. & K. Hoyland (2015). Smart home technologies that support independent living: Challenges and opportunities for the building industry - a systematic mapping study, Intelligent Buildings International, 1048767

13.
Hignett, S. (2010). Technology and building design: Initiatives to reduce inpatient falls among the elderly, Herd-Health Environments Research & Design Journal, 3(4): 93-105 crossref(new window)

14.
Chen, Y. T., Lin, Y.C., and Fang W. H. (2010). A video-based human fall detection system for smart homes, Journal of the Chinese Institute of Engineers, Vol.33, No.5: 681-690 crossref(new window)

15.
Alwan, M. (2009). Passive in-home health and wellness monitoring: Overview, value and examples, 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC2009, Minneapolis, MN: IEEE Computer Society, Sep. 2-6.

16.
Aicha, A.N., G. Englebienne, and B. Kroese (2012). How busy is my supervisor? Detecting the visits in the office of my supervisor using a sensor network.

17.
Alwan, M., D.C.Mack, S.Dalal, S.Kell, B.Turner, and R.A.Felder (2006). Impact of passive in-home health status monitoring technology in Home health: Outcome pilot, 1st Transisciplinary Conference on Distributed Diagnosis and Home Healthcare, D2H2, 2006, Arlington, VA: Institute of Electrical and Electronics Engineers Computer Society, Apr. 2-4.

18.
Eriksson, H. & T. Timpka (2002). The potential of smart homes for injury prevention among the elderly, Injury Control and Safety Promotion, Vol.9, No.2: 137-131. crossref(new window)

19.
Darby, S. (2010). Smart metering: what potential for householder engagement? Building Research & Information, 38(5): 442-457. crossref(new window)

20.
Demiris, G. and B.K. Hensel (2008). Technologies for an aging society; A systematic review of 'Smart Home' applications, IMIA Yearbook of Medical Informatics, 3: 33-40.

21.
Khatib, T., A. Monacchi, W. Elmenreich, D. Egarter, S. D'Alessndro & A. m. Tonello (2014). European End-user's level of energy consumption and attitude toward smart homes: A case study of residential sectors in Austria and Italy, Energy Technology & Policy, 1: 97-105 crossref(new window)

22.
Kim, J.E. Barth, T., G. Boulos, J. Yackovich, C. Beckel, and D. Mosse (2015). Seamless integration of heterogeneous devices and access control in smart homes and its evaluation, Intelligent Buildings International, 1018116.

23.
Coughlin, J. F., L. A. D'Ambrosio, B. Reimer, and M. R. Pratt (2007). Older adult perceptions of smart home technologies: Implications for research, policy and market innovations in healthcare, Engineering in Medicine and Biology Society, EMBS 2007, 29th Annual International Conference of the IEEE, Lyon, France: 1810-1815.

24.
Courtney, K. L. (2008). Privacy and senior willingness to adopt smart home information technology in residential care facilities, Methods of Information in Medicine, 47(1): 76-81

25.
Demiris, G., D.P.Oliver, J.Giger, M.Skubic, and M. Rantz (2009). Older adults' privacy considerations for vision based recognition methods of eldercare applications, Technology and Health Care, 17(1): 41-48.

26.
Demiris, G. and B.K. Hensel (2009). "Smart Homes" for patients at the end of life, Journal of Housing for the elderly, 23: 106-115. crossref(new window)

27.
Mamill, L. (2006). Controlling smart devices in the home, The Information Society, 22: 241-249 crossref(new window)

28.
Al-Sumaiti, Ameena Saad, Ahmed, Mohammed Hassan, and Magdy M.A. Salama (2014). Smart Home Activities: A literature review. Electronic Power Components and Systems, 42(3-4): 294-305, DOI: 10.1080/15325008.2013.832439. crossref(new window)

29.
Chen, C. Y., Y. P. Tsoul, S. C. Liao, and Lin, C. T. (2009). Implementing the design of smart home and achieving energy conservation, 7th IEEE International Conference on Industrial Informatics (INDIN 2009), 273-276, Cardiff, Sales, June, 23-26.

30.
Williams, E. D. and Matthews, H. S. (2007). Scoping the potential of monitoring and control technologies to reduce energy use in homes, Proceedings of the 2007 IEEE International Symposium on Electronics & the Environment, 239-244, Orlando, FL, 710, May.

31.
Wood, G. and Newborough, M. (2003). Dynamic energy consumption indicators for domestic appliances: Environment, behavior and design, Energy Buildings, Vol. 35, No. 8: 821-841. crossref(new window)

32.
Jahn, M., Jentsch, M., Prause, C. R., Pramudianto, F., Al-Akkad, A., and Reiners, R. (2010). The energy aware smart home, 5th International Conference on Future Information Technology (FutureTech), Busan, May 21-23.

33.
Stoll, P., Bag, G., Rossebo, J.E.Y., Rizavanovic, L., and Akderholm, M. (2011). Scheduling residential electric loads for green house gas reductions, 2nd IEEE PES International Conference and Exbition on Innovative Smart Grid Technologies (ISGT Europe), Manchester, Dec. 5-7.

34.
Conte, G., D. Scaradozzi, A. Perdon, and G. Morganti (2008). Prameter Tuning in distributed home automation systems; Towards a Tabu Search Approach, The 16th Mediterranean Conferecne on Control and Automation, Ajaccio, France, June 25-27: 191-197.

35.
Hernandez, S., R. Romero, and D. Giral (2010). Optimization of the use of residential lighting with neural network, International Conference on Computational Intelligence and Software Engineering (CiSE), Wuhan, Dec. 10-12.

36.
Veleva, S., D. Davcev, and M. Kacarska (2011). Wireless smart platform for home energy management system, The 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies (ISGT Europe), Manchester, Dec. 5-7: 1-8.

37.
Nanda, A. K. & C. K. Panigrahi (2015). Review on smart home energy management, International Journal of Ambient Energy, 1004107.

38.
Ha, L. D., S. Ploix, E. Zamai, and M. jacomino (2006). Tabu search for the optimization of household energy consumption, IEEE International Conference on Information Reuse and Integration, Waikoloa, HI, USA, Sep. 16-18: 86-92.

39.
Morganti, G., A. Perdon, G. Conte, D. Scaradozzi, and A. Brintrup (2009). Optimising home automation systems: A comparative study on Tabu Search and Evolutionary Algorithms, The 17th Mediterranean Conference on Control and Automation, MED'09, Thessaloniki, June 24-26: 1044-1049.

40.
Corno, F., & F. Razzak (2012). Intelligent Energy Optimization for User Intelligible Goals in smart home environments, IEEE Transactions on Smart Grid, 3(4): 2128-2135. crossref(new window)

41.
Mohsenian-Rad, A. H., V. W. Wong, J. Jatskevich, R. Schober, and A. Leon-Garcia (2010). Automomous demand-side management based on game-theoretic energy consumption scheduling for the future smart grid, IEEE Transactions on Smart Grid, 1(3): 320-331. crossref(new window)

42.
Stluka, P., D. Godbole, and T. Samad (2011). Energy management for buildings and microgrids, The 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC), Orlando, FL, Dec. 12-15: 5150-5157.

43.
Zhou, S., Z. Wu, J. Li & Z. Zhang (2014). Real-time Energy control approach for smart home energy management system, Electric Power Components and Systems, 42(3-4): 315-326. crossref(new window)

44.
Liao, Y., M. Turner, and Y. Du (2014). Development of a smart grid roadmap for Kentucky, Electric Power Components and System, 42(3-4): 267-279. crossref(new window)

45.
Yan, W. & Z. Hui (2010). CO2 Emission induced by household consumption in China, The 2nd IEEE International Conference on Information and Financial Engineering (ICIFE), Chonqing, Sep. 17-19: 59-63.

46.
Kwon, HY, Song, MZ, and Han, KG(2015). Digital media management, Communication books.

47.
Sandberg, Johan et al. (2014). Platform change: Theorizing the evolution of hybrid product platforms in process automation, working paper, Umea University, June.

48.
Meyer, MH and AP Lehnerd (1997). The power of product platforms, Free Press

49.
Sanderson, S. and M. Uzumeri (1995). Management product families: The case of the Sony Walkman. Research Policy 24(5): 761-782 crossref(new window)

50.
Robertson, D and K. Ulrich (1993). Planning for product platforms. Sloan Management Review.

51.
Rochet, J.C. and Tirole (2003). Platform competition in two sided markets. Journal of the Europen Economic Association. 1(4): 990-1029. crossref(new window)

52.
Schiff, A. (2003). Open and closed systems of two-sided networks, Information Economics and policy, 15(4): 425-442. crossref(new window)

53.
Eisenmann, Thomas R. (2007). Managing proprietary and shared platforms: A lifecycle view (research paper no. 07-105), Harvard Business School Technology & Operation Management Unit.

54.
Song, M.Z. (2013). A Study on the business model as alternative of network neutrality conflict: Based on the six points of two-sided market platform strategy, Journal of Cybercommunication, Academic Society of Cybercommunication, 30(1): 191-237.

55.
Ballon, P. (2009). Platform types and gatekeeper roles: The case of the mobile communications industry, Summer Conference on CBS (Copenhagen Business School), June 17-19, Denmark.

56.
Gawer, A. (2009). Platform dynamics and strategies: From products to services, In: Gawer, A. (Eds.). Platforms, markets and innovation (pp.45-76), Cheltenham, UK: Edward Elgar Publishing.

57.
Evans, D., Hagiu, A. and Schmalensee, R. (2005). A survey of the economic role of software platforms in computer-based industries, CESifo Economic Studies, 51(2-3): 189-224. crossref(new window)

58.
Hagiu and Schmalensee (2006), Invisible Engine: How Software Platforms Drive Innovation and Transform Industries.

59.
Baldwin, C.Y. & Woodard, C.J. (2009). The Architecture of Platforms: A Unified View. In Gawer, A. (Eds.), Platforms, Markets and Innovation (pp. 19-44). Cheltenham, UK: Edward Elgar Publishing.

60.
Tiwana, Amrit, et al. (2010). Platform Evolution: Coevolution of Platform Architecture, Governance, and Environmental Dynamics, Information Systems Research, Vol.21, Issue 4.

61.
Ventura Team Analysis (2014). http://www.telco2research.com/articles/EB_M2M-Embedded-Overview-Healthcare-Strategic-Options_Summary.

62.
ITU-T (2005). The Internet of Things - Executive Summary, Internet Report. November.

63.
Tracxn (2015). Smart Homes, Tracxn research.

64.
Electronic Telecommunications Research Institute (ETRI) (2010). Market perspective of Home network industry and its service acceptance analysis, January.