Analysis and Modeling of Enterprise Competitive Intelligence Based on Social Media User Comments-Reference-Cited by-同舟云学术

Analysis and Modeling of Enterprise Competitive Intelligence Based on Social Media User Comments

Published:2021-01-11 Issue:2 Volume:11 Page:47-69
ISSN:2157-5665
Container-title:Entrepreneurship Research Journal
language:en
Short-container-title:

Author:

Ding Jian-lan¹²,Shi Bing²

Affiliation:

1. School of Sports Economics and Sports Management , Xi’an Physical Education University , Xi’an , Shaanxi , 710068 , P. R. China

2. Physical Education Institute , Shaanxi Normal University , Xi’an , Shaanxi , 710119 , P. R. China

Abstract

Abstract Under modern information conditions, competitive intelligence has an important strategic role for an enterprise to reduce market, financial and other risks. How to correctly evaluate the value of competitive intelligence and make the right decision for an enterprise directly determines the survival and development of an enterprise. By establishing a co-occurrence relationship between the two, the core themes of corporate microblog communication are discovered. Proceeding from the basic theory of the value of competitive intelligence, it is proposed that due to the connection of business departments within the enterprise system, the transfer value of competitive intelligence within the enterprise system is changed, and a mathematical analysis method is used to establish a value transfer analysis model. The value-added process of enterprise competitive intelligence and the internal and external operational processes of the enterprise are unified, and the internal and external competitive intelligence value-added operation modes of enterprises led by different strategies are studied. This provides a new and widely-referenced operational reference for different companies to effectively formulate and implement their competition and cooperation strategies through internal and external competitive intelligence operations.

Funder

Shaanxi University Youth Outstanding Talent Support Program

National Social Science Foundation Project

Publisher

Walter de Gruyter GmbH

Subject

Management of Technology and Innovation,Strategy and Management,Business and International Management

Link

https://www.degruyter.com/document/doi/10.1515/erj-2020-0206/pdf

Reference20 articles.

1. Benevene, P., E. Kong, A. De Carlo, M. Lucchesi, and M. Cortini. 2019. “A Qualitative Study on the Perception of Intellectual Capital Among a Group of Senior Managers of Italian Social Enterprises.” Knowledge Management Research and Practice 17 (2): 161–71, https://doi.org/10.1080/14778238.2018.1538600.

2. Chakraborti, S., and S. Dey. 2019. “Analysis of Competitor Intelligence in the Era of Big Data: An Integrated System Using Text Summarization Based on Global Optimization.” Business & Information Systems Engineering 61 (3): 345–55, https://doi.org/10.1007/s12599-018-0562-0.

3. Gellweiler, C. 2020. “Types of IT Architects: A Content Analysis on Tasks and Skills.” Journal of Theoretical and Applied Electronic Commerce Research 15 (2): 15–37, https://doi.org/10.4067/s0718-18762020000200103.

4. Groenewald, D., and B. Okanga. 2019. “Optimising Enterprise Resource Planning System to Leverage a Firm’s Absorptive and Adaptive Capabilities.” South African Journal of Information Management 21 (1): 1–15, https://doi.org/10.4102/sajim.v21i1.962.

5. Jorge, B., C. Francisco, N. Marinho do Nascimento, J. Souza, S. Vinícius, and M. Vitoriano. 2019. “Use of Access to Information Law in the Process of Competitive Intelligence in the Context of the Private Health in Brasil: An Analysis in SulAmerica Insurance.” Revista Cubana de Información en Ciencias de la Salud (ACIMED) 30 (1): 1–25.

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