|
|
Cognitive Framework and Realization Logic for Industrial Competitive Intelligence Service under Digital Intelligence Background |
Zheng Rong1,2, Wang Xiaoyu1, Gao Zhihao1, Lei Yaxin1 |
1.School of Business and Management, Jilin University, Changchun 130012 2.Information Resources Research Center, Jilin University, Changchun 130012 |
|
|
Abstract To develop a healthy and orderly intelligence-enabled industry, cognition and realization of an industrial competitive intelligence service under digital intelligence background should be explored. This study presents a systematic literature review and case analysis according to the proof thinking formula of the cognition problem-analysis problem-solution problem, discusses the research progress of the industrial competitive intelligence from three service perspectives: cognition, analysis, and realization, and identifies and summarizes the new characteristics of the competitive intelligence service industry, including the intelligent interaction of service technology, problem-oriented service model, and positive ecology of service environment. The cognitive framework of the multi-dimensional integration of intelligent technology, deep transformation of service paradigm, and all-round reconstruction of service ecology, as well as the realization logic of the data fusion-knowledge mining-intelligence service will help expand the theory of industrial competitive intelligence service and provide new ideas for intelligence service practices.
|
Received: 14 June 2022
|
|
|
|
1 陈峰. 竞争情报理论方法与应用案例[M]. 北京: 科学技术文献出版社, 2014: 141-142. 2 Siddaway A P, Wood A M, Hedges L V. How to do a systematic review: a best practice guide for conducting and reporting narrative reviews, meta-analyses, and meta-syntheses[J]. Annual Review of Psychology, 2019, 70: 747-770. 3 郑彦宁, 赵筱媛, 陈峰. 产业竞争情报的解析[J]. 情报学报, 2009, 28(6): 917-922. 4 郑彦宁, 刘志辉, 赵筱媛, 等. 基于多源信息与多元方法的产业竞争情报分析范式[J]. 情报学报, 2013, 32(3): 228-234. 5 陈峰. 产业竞争情报理论方法研究综述[J]. 情报理论与实践, 2014, 37(10): 139-144. 6 赵筱媛, 李鹏. 产业竞争情报需求调查与分析[J]. 情报杂志, 2015, 34(4): 27-31, 18. 7 张立超, 房俊民, 高士雷. 产业竞争情报的内涵、意义及范畴界定[J]. 情报杂志, 2010, 29(6): 152-156. 8 Hoffman F P, Freyn S L. The future of competitive intelligence in an AI-enabled world[J]. International Journal of Value Chain Management, 2019, 10(4): 275-289. 9 陈峰, 杨宇田. 应对美国对华技术出口限制的产业竞争情报需求与服务研究——以半导体产业为例[J]. 情报杂志, 2019, 38(9): 36-41, 19. 10 吴琼, 陈思, 朱庆华. 产业链视角下我国老年智能可穿戴设备产业竞争情报分析[J]. 情报理论与实践, 2020, 43(5): 38-44, 67. 11 燕娜, 杨萍, 周雷, 等. 基于技术创新系统(TIS)的产业竞争情报分析框架研究——以稀土产业为例[J]. 情报杂志, 2021, 40(7): 36-44. 12 Gao K Z, Cao Z G, Zhang L, et al. A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems[J]. IEEE/CAA Journal of Automatica Sinica, 2019, 6(4): 904-916. 13 郑荣, 魏明珠, 高志豪, 等. 基于SCAN-CPM的产业新兴技术识别与演化路径分析: 以新能源汽车产业为例[J]. 图书情报工作, 2022, 66(11): 100-109. 14 Ranjan J, Foropon C. Big data analytics in building the competitive intelligence of organizations[J]. International Journal of Information Management, 2021, 56: 102231. 15 Casarotto E L, Malafaia G C, Martínez M P, et al. Interpreting, analyzing and distributing information: a big data framework for competitive intelligence[J]. Journal of Intelligence Studies in Business, 2021, 1(1): 6-18. 16 Potan?ok M, ?erny J. Competitive technical intelligence: using patent data to determine smart city trends[J]. Journal of Urban and Regional Analysis, 2020, 12(1): 5-17. 17 Contreras R, Ochoa A, Cossío E, et al. Design and implementation of an IoT-based Háptical interface implemented by memetic algorithms to improve competitiveness in an industry 4.0 model for the manufacturing sector[C]// Proceedings of the 9th International Conference on Innovations in Bio-Inspired Computing and Applications. Cham: Springer, 2019: 103-117. 18 化柏林, 李广建. 从多维视角看数据时代的智慧情报[J]. 情报理论与实践, 2016, 39(2): 5-9. 19 刘如, 吴晨生, 刘彦君, 等. 中国科技情报工作的传承与发展[J]. 情报学报, 2019, 38(1): 38-45. 20 罗立群, 李广建. 智慧情报服务与知识融合[J]. 情报资料工作, 2019, 40(2): 87-94. 21 郑荣, 杨竞雄, 魏明珠, 等. 活动理论视角下的产业竞争情报智慧服务分析框架研究[J]. 情报杂志, 2021, 40(8): 38-44, 52. 22 郑荣, 杨竞雄, 张薇, 等. 多源数据驱动的产业竞争情报智慧服务研究[J]. 情报学报, 2020, 39(12): 1295-1304. 23 黄云芳, 王秉. 智能安全情报分析模型的构建[J]. 情报理论与实践, 2020, 43(11): 59-64. 24 朱文韬, 栾敬东. 大数据时代竞争情报方的供应链信息源选择方法研究[J]. 情报理论与实践, 2022, 45(8): 90-96. 25 Song J K, Zhao Z H, Zhang Y M. Study on enterprise competitive intelligence evaluation based on mixed uncertain attribute group decision-making[C]// Proceedings of IOP Conference Series: Materials Science and Engineering. Bristol: IOP Publishing, 2020: 012101. 26 Mihaela M, Sabin M, Raluca B. Decision conceptual model for innovation ways using the competitive intelligence system[J]. Ovidius University Annals: Economic Sciences Series, 2017, 17(1): 319-324. 27 Tavera Romero C A, Ortiz J H, Khalaf O I, et al. Business intelligence: business evolution after industry 4.0[J]. Sustainability, 2021, 13(18): 10026. 28 Yiu L M D, Yeung A C L, Jong A P L. Business intelligence systems and operational capability: an empirical analysis of high-tech sectors[J]. Industrial Management & Data Systems, 2020, 120(6): 1195-1215. 29 唐晓波, 郑杜, 谭明亮. 融合情报方法论与人工智能技术的企业竞争情报系统模型构建[J]. 情报科学, 2019, 37(7): 118-124, 162. 30 郑荣, 王晓宇, 张艺源. 基于ACP理论的企业竞争情报智能系统构建研究[J]. 情报理论与实践, 2021, 44(12): 148-157. 31 李川, 朱学芳, 方志耕. 竞争情报动态干扰因素系统动力学仿真模型研究[J]. 情报理论与实践, 2021, 44(6): 132-137. 32 Kumar V, Saboo A R, Agarwal A, et al. Generating competitive intelligence with limited information: a case of the multimedia industry[J]. Production and Operations Management, 2020, 29(1): 192-213. 33 Lutz C J, Bodendorf F. Analyzing industry stakeholders using open-source competitive intelligence—a case study in the automotive supply industry[J]. Journal of Enterprise Information Management, 2020, 33(3): 579-599. 34 赵筱媛, 郑彦宁, 周洋, 等. 产业竞争情报服务模式分析流程研究与应用[J]. 情报理论与实践, 2014, 37(1): 74-78, 83. 35 张焱, 邢新欣. 基于“情报+”模式下产业竞争情报价值的实现机理研究——以电子信息产业为例[J]. 情报杂志, 2021, 40(9): 65-72. 36 龚花萍, 刘嘉良, 余建兵. 面向区域科技创新的竞争情报联动供给服务模式研究[J]. 情报杂志, 2020, 39(5): 64-70, 88. 37 王晓慧, 李倩. 基于三螺旋理论的区域政府、产业、科研机构竞争情报协作模式研究[J]. 竞争情报, 2021, 17(2): 20-26. 38 石峰, 郭静怡, 张雯. 科技情报动态监测与技术预警体系优化与实践[J]. 情报理论与实践, 2022, 45(4): 35-40. 39 赵辉, 化柏林, 何鸿魏. 科技情报用户画像标签生成与推荐[J]. 情报学报, 2020, 39(11): 1214-1222. 40 王艺, 王克平, 车尧. 基于大数据思维的小微企业风险识别与竞争情报预警机制研究[J]. 情报杂志, 2022, 41(2): 77-85. 41 上海市科学技术委员会. 上海发布技术转移相关服务地方标准, 5月1日起实施![EB/OL]. (2021-02-20) [2021-03-20]. http://stcsm.sh.gov.cn/xwzx/mtjj/20210220/c9a0d821f6144aa88bf414f8db114cd8.html. 42 He W, Tian X, Chen Y, et al. Actionable social media competitive analytics for understanding customer experiences[J]. Journal of Computer Information Systems, 2016, 56(2): 145-155. 43 郭培燕, 李艳. 在线问答社区信息披露质量与公司绩效的相关性——基于“上证e互动”[J]. 情报理论与实践, 2021, 44(10): 151-157, 128. 44 Stylos N, Zwiegelaar J B, Buhalis D. Big data empowered agility for dynamic, volatile, and time-sensitive service industries: the case of tourism sector[J]. International Journal of Contemporary Hospitality Management, 2021, 33(3): 1015-1036. 45 Ahmad T, Zhang D D, Huang C, et al. Artificial intelligence in sustainable energy industry: status Quo, challenges and opportunities[J]. Journal of Cleaner Production, 2021, 289: 125834. 46 BOSCH. 博世携手苏州工业园区打造智改数转赋能中心[EB/OL]. [2023-06-22]. https://www.bosch.com.cn/news-and-stories/bosch-and-sip-establish-an-intelligent-and-digital-transformation-enabling-center/. 47 树根互联. 产品方案及服务[EB/OL]. [2023-06-22]. https://www.rootcloud.com/product/. 48 湖南省科学技术信息研究所. 情报服务[EB/OL]. [2023-06-22]. http://www.hninfo.org.cn/qbfw/. 49 中国科学技术信息研究所. 服务平台[EB/OL]. [2023-06-22]. https://www.istic.ac.cn/html/1/185/365/index.html. 50 张素娟. 第四范式视角下基于多源信息与多元方法的企业竞争情报服务范式[J]. 情报探索, 2020(8): 31-36. 51 巴志超, 李纲, 周利琴, 等. 数据科学及其对情报学变革的影响[J]. 情报学报, 2018, 37(7): 653-667. 52 许鑫. 大数据环境下竞争情报分析的变化与方法创新[J]. 科技情报研究, 2020, 2(2): 20-38. 53 Javan M S, Akbari M K. SmartData 4.0: a formal description framework for big data[J]. Journal of Supercomputing, 2019, 75(7): 3585-3620. 54 Le-Phuoc D, Quoc H N M, Quoc H N, et al. The graph of things: a step towards the live knowledge graph of connected things[J]. Journal of Web Semantics, 2016, 37/38: 25-35. 55 Pan B, Zheng Y, Wilkie D, et al. Crowd sensing of traffic anomalies based on human mobility and social media[C]// Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. New York: ACM Press, 2013: 344-353. 56 Liu Z Z, Zhang W Y, Quek T Q S, et al. Deep fusion of heterogeneous sensor data[C]// Proceedings of the 2017 IEEE International Conference on Acoustics, Speech and Signal Processing. Piscataway: IEEE, 2017: 5965-5969. 57 Zheng Y, Liu F R, Hsieh H P. U-Air: when urban air quality inference meets big data[C]// Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York: ACM Press, 2013: 1436-1444. 58 Yang Q, Liu Y, Chen T J, et al. Federated machine learning: concept and applications[J]. ACM Transactions on Intelligent Systems and Technology, 2019, 10(2): Article No.12. 59 Manaligod H J T, Di?o M J S, Jo S, et al. Knowledge discovery computing for management[J]. Information Technology and Management, 2020, 21(2): 61-62. 60 Last M, Danon G. Automatic question generation[J]. WIREs Data Mining and Knowledge Discovery, 2020, 10(6): e1382. |
|
|
|