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Technology Analysis & Strategic Management Volume 30, 2018 - Issue 1
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Articles

Knowledge source strategy and enterprise innovation performance: dynamic analysis based on machine learning

Xin JinSchool of Economics & Management, Shanghai Maritime University, Shanghai, People’s Republic of ChinaCorrespondence[email protected]
,
Jie WangCenter for Sustainable Development and Global Competitiveness, Stanford University, Stanford, CA, USA
,
Tianshu ChuCenter for Sustainable Development and Global Competitiveness, Stanford University, Stanford, CA, USA
&
Jinghua XiaLandray Research Institute, Shanghai Landray Enterprise Management Consulting Co., Ltd., Shanghai, People’s Republic of China
Pages 71-83 | Received 12 May 2016, Accepted 17 Jan 2017, Published online: 03 Feb 2017

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Cheng Hu, Xuezhong Zhu, Rui Liu & Ziyou Teng. (2023) The impact of external technology acquisition on enterprise innovation performance: the moderating effect of geographical distance. Technology Analysis & Strategic Management 0:0, pages 1-15.
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Taeung Eom, Chungwon Woo & Dongphil Chun. (2022) Predicting an ICT business process innovation as a digital transformation with machine learning techniques. Technology Analysis & Strategic Management 0:0, pages 1-13.
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Paritosh Pramanik & Rabin K. Jana. (2022) Identifying research trends of machine learning in business: a topic modeling approach. Measuring Business Excellence 27:4, pages 602-633.
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Wei Huang, Yinke Liu, Peiqi Hu, Shiyu Ding, Shuhui Gao & Ming Zhang. (2023) What influence farmers’ relative poverty in China: A global analysis based on statistical and interpretable machine learning methods. Heliyon 9:9, pages e19525.
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Rabab H. Saleh, Christopher M. Durugbo & Soud M. Almahamid. (2023) What makes innovation ambidexterity manageable: a systematic review, multi-level model and future challenges. Review of Managerial Science.
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Salman Bahoo, Marco Cucculelli & Dawood Qamar. (2023) Artificial intelligence and corporate innovation: A review and research agenda. Technological Forecasting and Social Change 188, pages 122264.
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Jianmin Song, Shouxun Wen, Qingzhong Ren & Lu Zhang. (2022) The choice and acquisition of external knowledge in startups: matching improvisation to strategic flexibility. Management Decision 60:11, pages 2928-2951.
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Hui Zhu & Tianchu Feng. (2022) An Empirical Study on the Influence Mechanism of High-Level Universities on Local Enterprise Innovation under the Background of Machine Learning. International Transactions on Electrical Energy Systems 2022, pages 1-13.
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Yuanda Luo, Guobao Xiong & Abbas Mardani. (2022) Environmental information disclosure and corporate innovation: The “Inverted U-shaped” regulating effect of media attention. Journal of Business Research 146, pages 453-463.
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Shaoyi Bai & Shengtai Zhang. (2022) Evaluation for Development Effect of Enterprise Innovation with Neural Network from Low-Carbon Economy. Wireless Communications and Mobile Computing 2022, pages 1-9.
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Shankar Sundaresan & Zuopeng Zhang. (2021) AI-enabled knowledge sharing and learning: redesigning roles and processes. International Journal of Organizational Analysis 30:4, pages 983-999.
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Dengke Yu & Hongling Yan. (2021) Relationship Between Knowledge Base and Innovation-Driven Growth: Moderated by Organizational Character. Frontiers in Psychology 12.
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Yawen Li, Xiaoyang Wang, Chengcai Chen, Changyuan Jing & Tian Wu. (2020) Exploring firms’ innovation capabilities through learning systems. Neurocomputing 409, pages 27-34.
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Juan Shi & Xue Li. (2019) Cooperation, Network Characteristics, and Innovation Performance. Cooperation, Network Characteristics, and Innovation Performance.
Yue Qu, Xu Qian, Hongqing Song, Yi Xing, Zhengyi Li & Jinqiang Tan. (2018) Soil Moisture Investigation Utilizing Machine Learning Approach Based Experimental Data and Landsat5-TM Images: A Case Study in the Mega City Beijing. Water 10:4, pages 423.
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Hans Gruber & Christian HarteisHans Gruber & Christian Harteis. 2018. Individual and Social Influences on Professional Learning. Individual and Social Influences on Professional Learning 15 29 .

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