An Empirical Study on the Factors Influencing the Innovation of Internet Business Model
Science Journal of Business and Management
Volume 6, Issue 2, April 2018, Pages: 55-65
Received: Aug. 9, 2018;
Published: Aug. 13, 2018
Views 989 Downloads 120
Zhu Zongqian, School of Economics and Management, Xi’an University of Technology, Xi’an, China
Shang Yanying, School of Economics and Management, Xi’an University of Technology, Xi’an, China
Yan Tong, School of Economics and Management, Xi’an University of Technology, Xi’an, China
Zhang Ruocheng, School of Economics and Management, Xi’an University of Technology, Xi’an, China
On the mode of integration of the relevant literature and interviews in the enterprise, Internet background from the practice of value creation from the perspective of the construction of driving factors identification framework of business model innovation, using exploratory factor analysis to extract the common factor of Internet business model innovation factors. After factor analysis, the common factor is named. Conclusion: from the practice of value creation of 4 common factors were extracted from the perspective of industry chain integration driven subject, degree, Value flow degree and outside the enterprise resource integration mode and profit mode. Enterprises should strengthen the complementarity and stability of cooperative networks and expand the channel resources of partners from the angle of industry chain and driving agent. Strengthen the knowledge absorption ability of the staff and the innovation ability of the product orientation of the enterprise, and control the replicability of the enterprise value-added service on the basis of ensuring the data security of the enterprise. Enterprises should pay attention to marginal users, strengthen the win-win of enterprise cooperation network and innovation of revenue channels. From the perspective of internal resource integration and external resource integration, enterprises should strengthen communication with users and suppliers, improve customer satisfaction, and explore the depth of value.
An Empirical Study on the Factors Influencing the Innovation of Internet Business Model, Science Journal of Business and Management.
Vol. 6, No. 2,
2018, pp. 55-65.
Dan Fengru, Wang Tong. Based on the "Internet" formula for China's retail enterprises 020 business model innovation mechanism and modeling of J. Journal of Bohai University (NATURAL SCIENCE EDITION), 2015, 03:242-248..
Liu Zhou. Research on Internet and industrial cluster Internet upgrade [J]. Science and technology management, 2015, 08:73-82.
Zhu Zongqian, Ma Xiqiang, Shang Yanying. Research on SaaS ERP Service provider selection Model based on risk Control [J]. Research on Productivity, 2017, 08:1-7.
Changlong Tang, Jiqiang Liu. Selecting a Trusted Cloud Service Provider for your SaaS Program [J]. Conputers & Security, 2015, 50:60-73.
Daniel Kiel, Christian Arnold, Kai-Ingo Voigt. The influence of the Industrial Internet of Things on business models of established manufacturing companies – A business level perspective [J]. Technovation 68 (2017) 4–19.
Xingang Weng, Liying Zhang. Analysis of O2O Model’s Development Problems and Trend [J]. IBusi-ness, 2015, 7:51-57.
Gouillart F, Ramaswami V. Building the Cocreative Enterprise [J]. Harvaed Business Review, 2010, 88 (10):100-109.
Jiang Jihai. Business model is the "old wine in a new bottle"? - academic controversy, the dominant logic and theoretical foundation of J. Research and development management, 2015, 02:12-24.
Feng Hua, Chen Yaqi. Research on the innovation of platform business model -- spatio temporal fit analysis based on the Internet environment [J]. Chinese industrial economy, 2016, 03:99-113.
Feng Xuefei, Dong Da, Zhang Ruixue. Internet thinking: a shortcut for Chinese traditional enterprises to realize business model innovation [J]. Contemporary economic management, 2015, 04:20-23.
Chen Yu. The application of "one 1= ten" thinking in the localization and development of small and medium sized clothing enterprises in Min faction [J]. Journal of Xiamen University of Technology, 2015, 04:13-18.
Gao S. Managerial Ties, Absorptive Capacity and Innovation [J]. Asia Pacific Journal of Management, 2008, 25 (3):395-412.
Higgins M, Gulati R. Stacking the deck: the Effects of Top Management Backgrounds on Investor Decisions [J]. Strategic Management Journal, 2006, 27 (1):1-25.
Christina H, etal. Big Data and the Creative Destruction of Today’s Business Models [R]. AT Kearney, 2013.
Guo Zhe. Corporate reputation capital on the business model of the impact mechanism of J. The financial times, 2015, 21:71-72.
Piller, F, Weller, C. Business Models with Additive Manufacturing: Opportunities and Challenges form the Perspective of Economics and Management [J]. Advances in Production, 2015, 15 (4):39-48.
Bulger M, Taylor G, Schrieder R. Data-Driven Business Models Challenges and Opportunities of Big Data [R]. Oxford Internet Institute University of Oxford, 2014.
Heli Holttinen. Contextualizing Value Propositions: Examining How Consumers Experience Value Propositions in Their Practices [J]. Australasian Marketing Journal, 2014, 22 (14):103-110.
Wang Xiaoyu, Zheng Yaqin. A review of the impact of UGC on brand attitude in the context of social business [J]. Journal of Zhengzhou Institute of Aeronautics Industry Management, 2014, 03:78-81.
Wisner J, Tan k, Leong K. Principles of Supply Chain Management: A Balanced Approach [M]. Mason, OH: South-Western, 2008.
Wang Qiaoyu, Qian Huimin,. Money online and offline channels of financing business model analysis based on J. Business studies, 2015, 20:9-11.
Li Yao. Customers create value individually under customer dominant logic: An Empirical Study Based on the perspective of cognitive interaction [J]. Chinese industrial economy, 2014, 01:101-113.
Stuart, Bames. The Mobile Value Chain: A nalysis and Future Developments [J]. International Journal of Information Management, 2002, (22):91-108.
Zhang Baosheng, Zhang Qingpu. Research on the factors influencing the willingness of cooperation of tacit knowledge transfer network based on grounded theory [J]. Journal of management, 2015, 08:1224-1229.
Fang Benxin, Zhang Ning. Value network: the innovative significance and function from the cultural perspective [J]. Research management, 2008, 01:138-143187.
Peng Xinmin. Relationship between network connection and organizational performance from contingency perspective [J]. Research management, 2009, 03:47-55.
Wang Liping, He Yarong. Complementary resources, interactive capabilities and cooperative innovation performance [J]. Science research, 2016, 01:132-141.
Huang Changsheng, Yu Hongxian. Internet enterprises to participate in energy cooperation under the effects of Lotka-Volterra model based on the analysis of J. Chinese and foreign energy, 2016, 04:14-21.
Yang Luming, Shan Liang, Wu Yana. The choice of payment method to predict the tendency of the traditional financial analysis of the effect of J. Journal of Guizhou University of Finance and economics, 2016, 04:57-68.
Tao Ran. China C2C shopping site pricing strategy based on cost analysis from the perspective of J transfer of information products. Journal of Postgraduates in Huazhong Normal University, 2012, 02:157-162.
Yang Haoxiong, Wei Bin. A game study on the competition between online taxis and taxis -- Based on platform subsidy [J]. Beijing Social Sciences, 2016, 05:68-76.
Wu Juhua, Cao Qiang, Li Pinyi, et al. Research on the progress of cloud computing -- Based on the dual perspectives of technology and Commerce [J]. Science and technology management research, 2013, 15:23-28.
Federico Cosenz, Guido Noto. A dynamic business modelling approach to design and experiment new business venture strategies [J]. Long Range Planning, 2018, 51: 127-140.
Fredrik Hacklin, Joakim Bjorkdahl, Martin W. Wallin. Strategies for business model innovation: How firms reel in migrating value [J]. Long Range Planning, 2018, 51:82-110.