Assessing the role of competitive intelligence and practices of dynamic capabilities in business accommodation of SMEs

被引:365
作者
Wu, Qihan [1 ]
Yan, Dong [2 ]
Umair, Muhammad [3 ]
机构
[1] Z&H Consulting Wenzhou Co LTD, Wenzhou 325000, Zhejiang, Peoples R China
[2] Dong A Univ, Univ Coll, Dept Int Law, Busan 48974, South Korea
[3] Univ Lakki Marwat, Dept Econ, Lakki Marwat, Pakistan
关键词
Dynamic capability; Social media monitoring; small and medium-sized enterprises (SMEs); Shanghai; Competitive intelligence; ENERGY POVERTY; ECONOMICS;
D O I
10.1016/j.eap.2022.11.024
中图分类号
F [经济];
学科分类号
02 ;
摘要
Dynamic capability is an emerging topic for organizations confronting a chaotic environment. Previous research has emphasized that organizations with low dynamic capacities boost performance suffers from several survival issues. This paper discusses how small and medium-sized enterprises (SMEs) may strengthen their dynamic capabilities using metrics and knowledge management procedures encompassing information planning, collecting, analyzing, and distributing. Specifically, this research explores the influence of social media analytics on four stages of competitive intelligence to strengthen the dynamic capacities inside manufacturing enterprises. Social media analytics is better utilized in some major corporations but less accepted in small and medium enterprises. However, little empirical research has applied the dynamic capabilities method and studied the causal linkages between social media monitoring and data-driven business processes. A survey was undertaken among 150 manufacturing small and medium enterprises in Shanghai to understand this connection better. Consequently, a closed-structured questionnaire was issued to the small and medium enterprises' chief executive officers and management. The data gathered was examined using structural equation modeling. Our study results suggest that social media analytics favorably influences four stages of competitive intelligence, notably the phases of collecting and analysis. (c) 2022 Economic Society of Australia, Queensland. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:1103 / 1114
页数:12
相关论文
共 58 条
[1]   A bird's eye view of Ghana's renewable energy sector environment: A Multi-Criteria Decision-Making approach [J].
Agyekum, Ephraim Bonah ;
Amjad, Fahd ;
Mohsin, Muhammad ;
Ansah, Michael Nii Sanka .
UTILITIES POLICY, 2021, 70
[2]   Novel approach of Principal Component Analysis method to assess the national energy performance via Energy Trilemma Index [J].
Al Asbahi, Ahmed Abdulwali Mohammed Haidar ;
Gang, Feng Zhi ;
Iqbal, Wasim ;
Abass, Qaiser ;
Mohsin, Muhammad ;
Iram, Robina .
ENERGY REPORTS, 2019, 5 :704-713
[3]   Energy end-use and efficiency potentials among Swedish industrial small and medium-sized enterprises - A dataset analysis from the national energy audit program [J].
Andersson, Elias ;
Karlsson, Magnus ;
Thollander, Patrik ;
Paramonova, Svetlana .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2018, 93 :165-177
[4]   A multi-perspective assessment approach of renewable energy production: policy perspective analysis [J].
Baloch, Zulfiqar Ali ;
Tan, Qingmei ;
Kamran, Hafiz Waqas ;
Nawaz, Muhammad Atif ;
Albashar, Gadah ;
Hameed, Javaria .
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2022, 24 (02) :2164-2192
[5]  
Barker T, 2017, STU ECO ECO, V6, P237, DOI 10.1007/978-3-319-38919-6_11
[6]   Religion and economic growth across countries [J].
Barro, RJ ;
McCleary, RM .
AMERICAN SOCIOLOGICAL REVIEW, 2003, 68 (05) :760-781
[7]   Spillover effects of credit default risk in the euro area and the effects on the Euro: A GVAR approach [J].
Bettendorf, Timo .
INTERNATIONAL JOURNAL OF FINANCE & ECONOMICS, 2019, 24 (01) :296-312
[8]  
Bhatia M, 2015, Beyond connections: energy access redefined. ESMAP technical report 008/15
[9]  
Briere Marie., 2021, Working paper,
[10]   A Multiobjective Intelligent Decision-Making Method for Multistage Placement of PMU in Power Grid Enterprises [J].
Cao, Bin ;
Yan, Yanlong ;
Wang, Yu ;
Liu, Xin ;
Lin, Jerry Chun-Wei ;
Sangaiah, Arun Kumar ;
Lv, Zhihan .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 19 (06) :7636-7644