The rapid development of the internet and its technologies helps enhance business models, product lifecycles, and services, etc. In addition, the Internet of Things (IoT) manages platforms for e-business and functionality. Even though the IoT-based e-business model improves overall business possibilities, it has several issues such as exact information on business assets and difficulties in the requirements analysis as well as in managing the large volume of business data. This paper introduces the E3-value business model for examining each requirement that successfully predicts the core elements of business, distribution channels, company propositions, and so on. The E3-value model examines the business processes, business segments, interfaces, value objects, and value offerings that successfully defines business and the related business functionality used to improve the overall performance of the business process. The developed method successfully overcomes the abovementioned issues, and the excellence of the IoT-based e-commerce system is evaluated using a relevant medical e-business process case study. Further, the efficiency of the system is evaluated using business process accuracy, end-user satisfaction, the Magnitude Relative Error, and the Pearson Correlation Coefficient.
This is a preview of subscription content, access via your institution.
Buy single article
Instant access to the full article PDF.
Tax calculation will be finalised during checkout.
Subscribe to journal
Immediate online access to all issues from 2019. Subscription will auto renew annually.
Tax calculation will be finalised during checkout.
Ahmed, M., Kong, X., Liu, L., Xia, F., Abolfazli, S., Sanaei, Z., & Tolba, A. (2017). BoDMaS: Bio-inspired selfishness detection and mitigation in data management for ad-hoc Social Networks. Ad Hoc Networks, 55, 119–131.
Bai, X., Zhang, F., Hou, J., Xia, F., Tolba, A., & Elashkar, E. (2017). Implicit multi-feature learning for dynamic time series prediction of the impact of institutions. IEEE Access, 5, 16372–16382.
Chesbrough, H., & Rosenbloom, R. S. (2002). The role of the business model in capturing value from innovation: Evidence from Xerox Corporation's technology spin-off companies. Journal of Industrial and Corporate Change, 11(3), 535.
Dantanarayana, G., Wickramage, C., Jayaweera, P. (2014). Goal oriented value object classification for healthcare service development. Kecheng Liu; Stephen R. Gulliver; Weizi Li; Changrui Yu. 15th International Conference on Informatics and Semiotics in Organisations (ICISO), May 2014, Shanghai, China. Springer, IFIP Advances in Information and Communication Technology, AICT-426, pp.135–144, 2014, Service Science and Knowledge Innovation.
Dijkman, R. M., Sprenkels, B., Peeters, T., & Janssen, A. (2015). Business models for the internet of things. International Journal of Information Management, 35(6), 672–678.
Glova, J., & Gavurova, B. (2012). E-business in health Care Management Systems in Post-Transition Countries: The Slovak Republic perspective. Journal of Management and Business: Research and Practice., 4(2), 14.
Gregorio, D.D., Kassicieh, S.K., Neto, R.D.G., “Drivers of E-business activity in developed and emerging markets” IEEE Transactions on Engineering Management, Year: 2005 , Volume: 52 , Issue: 2, Page s: 155–166.
Guo, P., Han, M., Cao, N., Shen, Y. (2017). The research on innovative application of e-commerce in IoT Era”, 2017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC).
Han, J., & Li, Z. P. (2012). Constructing logistics e-commerce platform based on internet of things. Value Eng., 31, 10–14.
Liu, L., & Jia, W. (2010). Business model for drug supply chain based on the internet of things. In Proceedings of the international conference on network infrastructure and digital content (pp. 982–986). IEEE Press.
Liu, J., Tang, T., Kong, X., Tolba, A., Zafer, A. M., & Xia, F. (2018). Understanding the advisor–advisee relationship via scholarly data analysis. Scientometrics, 116, 161–181, 2018.
Lowry, P. B., Cherrington, J. O., & Watson, R. J. (2001). E-business handbook. Boca Raton: CRC Press.
Lowry, P. B., Vance, A., Moody, G., Beckman, B., & Read, A. (2008). Explaining and predicting the impact of branding alliances and web site quality on initial consumer trust of e-commerce web sites. Journal of Management Information Systems, 24(4), 199–224.
Openshaw, E., Hagel, J., Wooll, M., Wigginton, C., Brown, J. S., & Banerjee, P. (2014). The internet of things ecosystem: Unlocking the business value of connected devices. In Technical report. Deloitte., 18 pages.
Pettit, R. (2012). Learning from winners: How the ARF Ogilvy award winners use market research to create advertising success (pp. 32–33). Taylor & Francis ISBN 9781136676765 . Retrieved 2014-05-31.
Pijpers, V. & Gordijn, J. (2007a). Bridging business value models and process models in aviation value webs via possession rights, paper presented to the Hawaii international conference on system sciences.
Pijpers, V. & Gordijn, J. (2007b). Considering software quality requirements as networked business quality requirements', viewed 3 Jun 2009 <http://e3value.few.vu.nl/docs/bibtex/pdf/Vincent.-e3styles2008.pdf. Accessed 5 April 2019
Rahim, A., Ma, K., Zhao, W., Tolba, A., Al-Makhadmeh, Z., & Xia, F. (2018). Cooperative data forwarding based on crowdsourcing in vehicular social networks. Pervasive and Mobile Computing., 51, 43–55.
Said, O., & Tolba, A. (2018). Design and performance evaluation of mixed multicast architecture for internet of things environment. The Journal of Supercomputing, 74, 3295–3328, 2018.
Shang, X., Zhang, R., & Chen, Y. (July 2012). Internet of things IoT service architecture and its application in E-commerce. Journal of Electronic Commerce in Organizations in ACM, 10(3), 44–55.
Shen, G., & Liu, B. (2010). Research on application of Internet of Things in electronic commerce. In Proceedings of the International Symposium on High Performance Structures and Materials Engineering, Guangzhou, China pp. 217–218.
Sumita, U., & Yoshii, J. (May, 2010). Enhancement of e-commerce via mobile accesses to the internet. Electronic Commerce Research and Applications, 9(3), 217–227.
Sun, Y., Yan, H., Lu, C., Bie, R., & Thomas, P. (2012). A holistic approach to visualizing business models for the internet of things. Communications in Mobile Computing, 1(1), 1–7.
The Economist Intelligence Unit. (2013). The internet of things business index. In In technical report. London, UK: The Economist Intelligence Unit 29 pages.
Thestrup J, Sorensen TF, De Bona M. (2006). Using conceptual modeling and value analysis to identify sustainable m>business models in industrial services, Mobile business, ICMB ‘06. International conference on Mobile business in Copenhagen.
Tolba, A. (2019). Content accessibility preference approach for improving service optimality in internet of vehicles. Computer Networks, 152, 78–86.
Tolba, A., & Elashkar, E. (2018). Soft computing approaches based bookmark selection and clustering techniques for social tagging systems. Cluster Computing, 1–7. https://doi.org/10.1007/s10586-018-2014-5.
Wang, J., Kong, X., Rahim, A., Xia, F., Tolba, A., & Al-Makhadmeh, Z. (2017a). IS2Fun: Identification of subway station functions using massive urban data. IEEE Access, 5, 27103–27113.
Wang, W., Bai, X., Xia, F., Bekele, T. M., Su, X., & Tolba, A. (2017b). From triadic closure to conference closure: The role of academic conferences in promoting scientific collaborations. Scientometrics, 113(1), 177–193.
Wang, J., Kong, X., Zhao, W., Tolba, A., Al-Makhadmeh, Z., & Xia, F. (2018). STLoyal: A Spatio-temporal loyalty-based model for Subway passenger flow prediction. IEEE Access, 6, 47461–47471.
Westfall, J. (2010). Privacy: Electronic information and the individual." Santa Clara University. Markkula Center for Applied Ethics, 2010. Web. 30 Nov. 2010.
Wu, D., Zhang, G., & Lu, J. (2015 Feb). A fuzzy preference tree-based recommender system for personalized business-to-business E-services. IEEE Transactions on Fuzzy Systems, 23(1).
Xia, F., Liaqat, H. B., Ahmed, A. M., Liu, L., Ma, J., Huang, R., & Tolba, A. (2016). User popularity-based packet scheduling for congestion control in ad-hoc social networks. Journal of Computer and System Sciences, 82, 93–112.
Yang, D., & Tian, L. W. (2012). Applied research on E-commerce logistics and distribution based on internet of things. Logistics Engineering and Management, 34, 23–37.
Qingfeng Zeng ; Wenbo Chen ; Lihua Huang, “E-business transformation: An analysis framework based on critical organizational dimensions”, Tsinghua Science and Technology in IEEE, Volume: 13 , Issue: 3 , June 2008, 408, 413.
Xu, X. (2014). IOT technology research in E-commerce. Information Technology Journal, 13(16), 2552–2559.
Zhang, J., Hu, Y., Ning, Z., Tolba, A., Elashkar, E., & Xia, F. (2018a). AIRank: Author impact ranking through positions in collaboration networks. Complexity, 2018.
Zhang, J., Xu, B., Liu, J., Tolba, A., Al-Makhadmeh, Z., & Xia, F. (2018b). PePSI: Personalized prediction of scholars’ impact in heterogeneous temporal academic networks. IEEE Access, 6, 55661–55672.
The authors extend their appreciation to the Deanship of Scientific Research at King Saud University for funding this work through research group no. RG-1437-027.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
This article is part of the Topical Collection on Internet of Things for Electronic Markets
Responsible Editor: Gunasekaran Manogaran
About this article
Cite this article
Shoukry, A., Khader, J. & Gani, S. Improving business process and functionality using IoT based E3-value business model. Electron Markets (2019). https://doi.org/10.1007/s12525-019-00344-z
- Internet of things (IoT)
- Business data
- E3-value business model
- Distribution channels
- Company proposition