[1] YOO Y. Computing in everyday life: a call for research on experiential computing[J]. MIS Quarterly, 2010,34(2):213-231. [2] 邢小强, 周平录, 张竹, 等. 数字技术、BOP商业模式创新与包容性市场构建[J]. 管理世界, 2019,35(12):116-136. [3] 谢卫红,林培望,李忠顺, 等.数字化创新:内涵特征、价值创造与展望[J].外国经济与管理,2020,42(09):19-31. [4] 谢卫红,李忠顺,李秀敏, 等.数字化创新研究的知识结构与拓展方向[J].经济管理,2020,42(12):184-202. [5] CHENG M, SHAO Z, GAO F, et al. The effect of research and development on the energy conservation potential of China's manufacturing industry: the case of east region[J]. Journal of Cleaner Production, 2020, 258(4):1-13. [6] KENNEY M,ROUVINEN P,SEPPALA T,et al. Platforms and industrial change[J]. Industry and Innovation, 2019,26(8):871-879. [7] 李英杰, 韩平. 数字经济发展对我国产业结构优化升级的影响——基于省级面板数据的实证分析[J]. 商业经济研究, 2021,40(6):183-188. [8] 卢洪友, 陈思霞. 第三产业技术进步与技术效率的财政政策效应实证分析[J]. 广东商学院学报, 2009,24(3):74-80. [9] 沈运红, 黄桁. 数字经济水平对制造业产业结构优化升级的影响研究——基于浙江省2008—2017年面板数据[J]. 科技管理研究, 2020,40(3):147-154. [10] ZHANG C. An empirical study on the impact of digital economy development on the upgrading and optimization of industrial structure[C]//E3S Web of Conferences. EDP Sciences, 2021, 275-276. [11] 孟庆时, 余江, 陈凤, 等. 数字技术创新对新一代信息技术产业升级的作用机制研究[J]. 研究与发展管理, 2021,33(1):90-100. [12] LING S, HAN G, AN D, et al. The impact of green credit policy on technological innovation of firms in pollution-intensive industries: evidence from China[J]. Sustainability, 2020,12(11):1-16. [13] SHEN L, FAN R, WANG Y, et al. Impacts of environmental regulation on the green transformation and upgrading of manufacturing enterprises[J]. International Journal of Environmental Research and Public Health, 2020,17(20):1-14. [14] 包晨晨, 于思淼. 企业兼并重组来源于技术内生——来自中国上市公司的经验证据[J]. 经济体制改革, 2016,15(5):184-189. [15] PRADHAN R P, ARVIN M B, NAIR M, et al. Short-term and long-term dynamics of venture capital and economic growth in a digital economy: a study of European countries[J]. Technology in Society, 2019,57(5):125-134. [16] ARDOLINO M, RAPACCINI M, SACCANI N, et al. The role of digital technologies for the service transformation of industrial companies[J]. International Journal of Production Research, 2018,56(6):2116-2132. [17] 王文倩, 张羽. 金融结构、产业结构升级和经济增长——基于不同特征的技术进步视角[J]. 经济学家, 2022,42(2):118-128. [18] ZHANG L, LONG R, CHEN H, et al. Performance changes analysis of industrial enterprises under energy constraints[J]. Resources Conservation and Recycling, 2018,136(12):248-256. [19] ZHOU L, JIANG Z, GENG N, et al. Production and operations management for intelligent manufacturing: a systematic literature review[J]. International Journal of Production Research, 2022,60(2):808-846. [20] ROMERO-SILVA R, HERNANDEZ-LOPEZ G. Shop-floor scheduling as a competitive advantage: a study on the relevance of cyber-physical systems in different manufacturing contexts[J]. International Journal of Production Economics, 2020,224(4):1-54. [21] 黎继子, 李柏勋. 集群式供应链大规模定制化运作模式分析——以晋江鞋业产业集群为例[J]. 科研管理, 2007,34(6):167-174. [22] 洪银兴. 科技创新中的企业家及其创新行为——兼论企业为主体的技术创新体系[J]. 中国工业经济, 2012,29(6):83-93. [23] 郝凤霞, 江文槿, 楼永. 劳动力流动与地区制造业升级——基于转移升级和转型升级角度[J]. 产经评论, 2021,38(6):90-109. [24] 张峰, 殷秀清. 劳动力供给要素变迁对制造业转型升级影响的统计检验[J]. 统计与决策, 2020,36(4):91-95. [25] 王冬, 吕延方. 数字技术影响实体经济就业的非线性效应研究[J]. 现代管理科学, 2021,40(8):110-120. [26] 王文. 数字经济时代下工业智能化促进了高质量就业吗[J]. 经济学家, 2020,32(4):89-98. [27] DUMAN M C, AKDEMIR B. A study to determine the effects of industry 4.0 technology components on organizational performance[J]. Technological Forecasting and Social Change, 2021,167(5):1-14. [28] HUNTER J E, SCHMIDT F. Methods of meta-analysis: correcting error and bias in research findings [M]. Sage, 2004. [29] HIGGINS J, THOMPSON S G, DEEKS J J, et al. Measuring inconsistency in meta-analyses[J]. British Medical Journal, 2003,327(12):557-560. [30] COHEN J. Statistical power analysis for the behavioral sciences[M]. New York: Academic Press, 1977.