Smart services – characteristics, challenges, opportunities and business models

Author:

Marquardt Katrin1

Affiliation:

1. The Bucharest University of Economic Studies , Bucharest , Romania

Abstract

Abstract “Industry 4.0”, “Digitalization”, “Internet of Things” and “Smart Services” are the today’s buzzwords when tracking economic news. It is to ask about the meaning of those phrases. The world has changed over the last decade from a mainly physical to software controlled economy and the information technology has become an integral part of our industry and society in its entirety. Nowadays it is no longer the product that matters it is the data that are generated by using the product or service. Those usage data collected and analyzed commence new business models and services. The economic future of a company will much more rely on the ability to collect and use the data to generate Smart Services for their customers and to transform from a simple product supplier to an entertainment provider. However there are not only opportunities there are also challenges on the way to that new services which needs to be known and considered. For instance the development cycles need to be faster, the business models need to be adjusted and the positive financial results will not come into the picture on the first day. Based on those thoughts and while there only a handful of researches about that new services exists, the main purpose of the present study is at first, to gain a common understanding about the meaning and the characteristics of Smart Services and their adjacencies. Secondly, the study summarizes the identified challenges and opportunities in relation to them. Thirdly, the author introduce and explain the main business models usable for those Smart Services and the requirements for starting the transformation towards those services. The aim of this paper is to set a basis for this exciting and relatively unsought topic and to produce an interest in further empirical and practical researches in this area. The methodologies used for this research are a systematic literature review and an evaluation of existing studies with the subjects “Industrie 4.0”, “Digitization”, “Internet of Things” and “Smart Services”. Additional national initiated programs and best-practice of transformations where analyzed and interpreted. The outcome of the study is always focused on service providers.

Publisher

Walter de Gruyter GmbH

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference44 articles.

1. Aghaei, S., Nematbakhsh, M.A., Farsani, H.K. (2012). Evolution of the World Wide Web:From Web 1.0 to Web 4.0. International Journal of Web & Semantic Technology (IJWesT), 3 (1), 1-10. doi: 10.5121/ijwest.2012.3101.

2. Allmendinger, G. and Lombreglia, R. (2005). Four Strategies for the Age of Smart Services, Harvard Business Review. Retrieved from https://hbr.org/2005/10/four-strategies-for-the-age-of-smart-services.

3. Arp, L. (2015, December 11). Do you know these popular online business models? Retrieved from http://sunriseprowebsites.com/know-popular-online-business-models.

4. Bley, S., Dr. Kilger, C., & Prof. Dr. Vogel, J. (2016). Industrie 4.0 — das unbekannte Wesen?. Ernst & Young GmbH. Retrieved from http://www.ey.com/Publication/vwLUAssets/EY-industrie-4-0-das-unbekannte-wesen/$FILE/EY-industrie-4-0-das-unbekannte-wesen.pdf.

5. BMBF - Federal Ministry of Education and Research. (2014). The new High-Tech Strategy Innovations for Germany. Retrieved from https://www.bmbf.de/pub/HTS_Broschuere_eng.pdf

Cited by 24 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3