Study on Intelligently Designed Business Innovation Service Models Driven by Big Data

被引:0
|
作者
Liu, Huiying [1 ,2 ]
Shang, Jianfeng [2 ,3 ]
Wan, Gang [4 ]
机构
[1] Jose Rizal Univ, Grad Sch, Manila 1552, Philippines
[2] Shenzhen Perth Ind Design Co Ltd, Shenzhen 518038, Peoples R China
[3] Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Peoples R China
[4] Talkweb Yunchuang Technol Co Ltd, Changsha 410000, Peoples R China
基金
国家重点研发计划;
关键词
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Although conventional business models have been increasingly affected in front of the big data technology application, it has also brought new opportunities and challenges for enterprise development. In order to create a higher value, enterprises should keep pace with the times and actively develop business innovation service models. The greatest value brought by data is to help enterprises find potential business value. It can provide a broader user market and channels, avoid homogeneous competition, and realize the integration of upstream and downstream value chains. In addition, it abandons the extensive development under the traditional model and allows enterprises to return to real value services, which is also an irresistible trend of business model transformation. This paper studies and analyzes business innovation service models. First, the business model as required is presented, and the management system and risk evaluation method are introduced. Then, the construction of the business service model is discussed, and the typical big data technologies are reviewed. Next, according to the evaluation theory of business model, the index system of business innovation service model is explored, which can examine the development of business model objectively and comprehensively. Last, the operations of the business model under the big data are analyzed. The research on the business model in this paper can be provided with universality and has a certain practical value for the development of business innovation service.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] RETRACTED: Study on Intelligently Designed Business Innovation Service Models Driven by Big Data (Retracted Article)
    Liu, Huiying
    Shang, Jianfeng
    Wan, Gang
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
  • [2] Creative Industries and Big Data: A Business Model for Service Innovation
    Morelli, Giovanna
    Spagnoli, Francesca
    [J]. EXPLORING SERVICES SCIENCE, IESS 2017, 2017, 279 : 144 - 158
  • [3] Mechanism of Digital Business Model Innovation Driven by Big Data in Manufacturing Enterprises
    Sun, Xinbo
    Wang, Haochong
    Zhang, Yuan
    He, Jiandu
    [J]. FRONTIERS OF BUSINESS RESEARCH IN CHINA, 2024, 18 (02) : 95 - 120
  • [4] The Business Mode Innovation in Big Data Era
    Zhang Yongsheng
    [J]. PROCEEDINGS OF INTERNATIONAL SYMPOSIUM - MANAGEMENT, INNOVATION & DEVELOPMENT (MID2014), 2014, : 274 - 277
  • [5] Business model innovation through Big Data
    Chaudhary, Rashi
    Pandey, Prakhar
    Pandey, Jajaj Ranjan
    [J]. 2015 International Conference on Green Computing and Internet of Things (ICGCIoT), 2015, : 259 - 263
  • [6] Digitalizing business models in hospitality ecosystems: toward data-driven innovation
    Troisi, Orlando
    Visvizi, Anna
    Grimaldi, Mara
    [J]. EUROPEAN JOURNAL OF INNOVATION MANAGEMENT, 2023, 26 (07) : 242 - 277
  • [7] BIG DATA AND DISRUPTIONS IN BUSINESS MODELS
    van Heck, Eric
    [J]. RAE-REVISTA DE ADMINISTRACAO DE EMPRESAS, 2019, 59 (06): : 430 - 432
  • [8] Dynamic service innovation capability, radical service innovation and open business models
    Cheng, Colin
    [J]. INTERNATIONAL JOURNAL OF SERVICES TECHNOLOGY AND MANAGEMENT, 2011, 16 (3-4) : 229 - 242
  • [9] Prospects of Big Data Driven Innovation in Enterprises
    Victor, Vijay
    Maria, Fekete Farkas
    [J]. INNOVATION MANAGEMENT AND EDUCATION EXCELLENCE THROUGH VISION 2020, VOLS I -XI, 2018, : 4503 - 4510
  • [10] Study on Innovation of Smart Library Service Model in the Era of Big Data
    Ruan, Jian
    Wang, Sheng-Bin
    [J]. PROCEEDINGS OF THE 2016 4TH INTERNATIONAL CONFERENCE ON ELECTRICAL & ELECTRONICS ENGINEERING AND COMPUTER SCIENCE (ICEEECS 2016), 2016, 50 : 1077 - 1081