Business ecosystem model innovation based on Internet of Things big data

被引:1
|
作者
Yang, Yang [1 ]
机构
[1] North China Univ Water Resources & Elect Power, Sch Management & Econ, Zhengzhou 450046, Henan, Peoples R China
关键词
Big data; Business model innovation; Internet of things; Structured output from input;
D O I
10.1016/j.seta.2023.103188
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The research paper presents a novel big data technique for conceptual modelling of Internet of Things (IoT) networks. This method enables the development of models that incorporate IoT based devices into its activities to give a business for the company while taking into account the business operational activities. This study's major goal is to assist management in making quicker effective options that depend on the structured output from their input to develop IoT networks and resources. In the big data business ecological model based on the Internet of Things, 47.5% of the integrated enterprises started to innovate the enterprise ecological model, which can better help enterprises make decisions and plan. In order to include IoT into business model innovation programs to ensure that IoT is taken into account in the overall strategy business planning and decision-making at all levels, such that the modelling and formal descriptions must be used. A number of interviews with workers from various companies and with their experts, throughout such platform were done to further illuminate this research area. Future challenges will create a constant challenge to create and adopt fresh IoT-related business models for large manufacturing organisations. The high-level strategic steps of business model innovation (BMI) are an intriguing topic for current research. These results represent a first step in the exploration of IoT adoption and serve as a springboard for promising new research directions.
引用
收藏
页数:6
相关论文
共 50 条
  • [41] Analysis of Internet Business Model Innovation Based on Embeddedness
    Li, Xuan
    Xu, Di
    NINTH WUHAN INTERNATIONAL CONFERENCE ON E-BUSINESS, VOLS I-III, 2010, : 1538 - 1544
  • [42] Design and Analysis of English Intelligent Translation System Based on Internet of Things and Big Data Model
    Lei, Li
    Wang, Hao
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022
  • [43] Innovative Risk Early Warning Model Based on Internet of Things Under Big Data Technology
    Wang, Changlin
    Liu, Siting
    IEEE ACCESS, 2021, 9 : 100606 - 100614
  • [44] Innovative risk early warning model based on internet of things under big data technology
    Wang, Changlin
    Liu, Siting
    IEEE Access, 2021, 9 : 100606 - 100614
  • [45] An Architecture to Analyze Big data in the Internet of Things
    Dinl, Sadia
    Ghayvat, Hemant
    Paul, Anand
    Ahmad, Awais
    Rathore, M. Mazhar
    Shafi, Imran
    2015 9TH INTERNATIONAL CONFERENCE ON SENSING TECHNOLOGY (ICST), 2015, : 677 - 682
  • [46] A Review on Big Data Analysis and Internet of Things
    Ahsan, Umar
    Bais, Abdul
    PROCEEDINGS 2016 IEEE 13TH INTERNATIONAL CONFERENCE ON MOBILE AD HOC AND SENSOR SYSTEMS (MASS 2016), 2016, : 325 - 330
  • [47] A Big Data Correlation Orchestrator for Internet of Things
    Mozumdar, Mohammad
    Shahbazian, Amir
    Nhat-Quang Ton
    2014 IEEE WORLD FORUM ON INTERNET OF THINGS (WF-IOT), 2014, : 304 - 308
  • [48] Big Data Analysis of Internet of Things System
    Lv, Zhihan
    Singh, Amit Kumar
    ACM TRANSACTIONS ON INTERNET TECHNOLOGY, 2021, 21 (02)
  • [49] Challenges of Internet of Things and Big Data Integration
    Alansari, Zainab
    Anuar, Nor Badrul
    Kamsin, Amirrudin
    Soomro, Safeeullah
    Belgaum, Mohammad Riyaz
    Miraz, Mahdi H.
    Alshaer, Jawdat
    EMERGING TECHNOLOGIES IN COMPUTING, ICETIC 2018, 2018, 200 : 47 - 55
  • [50] Big Data Privacy in the Internet of Things Era
    Perera, Charith
    Ranjan, Rajiv
    Wang, Lizhe
    Khan, Samee U.
    Zomaya, Albert Y.
    IT PROFESSIONAL, 2015, 17 (03) : 32 - 39