Customer Involvement, Ambidextrous Green Innovations and Firm Performance: The Moderating Role of Product Intelligence
Jia Tao1,2,Yan Rui1,Wang Yu3,Chen Qiujun1
(1. School of Management, Xi'an Jiaotong University, Xi'an 710049, China;2.Key Laboratory of Process Control & Efficiency Engineering, Ministry of Education, Xi'an Jiaotong University, Xi'an 710049, China;3. School of E-Business and Logistics, Beijing Technology and Business University, Beijing 100048, China)
[1] ZHAO Y, FENG T, SHI H. External involvement and green product innovation: the moderating role of environmental uncertainty[J]. Business Strategy and the Environment, 2018, 27(8): 1167-1180. [2] 左世全. 智能制造的中国特色之路[J]. 中国工业评论, 2015, 1(4): 48-55. [3] 解学梅, 余佳惠. 用户参与产品创新的国外研究热点与演进脉络分析——基于文献计量学视角[J]. 南开管理评论, 2021, 24(5): 4-17. [4] ANNING-DORSON T. Customer involvement capability and service firm performance: the mediating role of innovation[J]. Journal of Business Research, 2018, 86: 269-280. [5] 王娟茹, 刘娟. 双元性绿色创新对我国制造企业竞争优势的影响:技术动荡性的调节作用[J]. 科技管理研究, 2020, 40(9): 196-204. [6] WANG Y, SUN H, JIA T, et al. The impact of buyer-supplier interaction on ambidextrous innovation and business performance: the moderating role of competitive environment[J]. International Journal of Logistics Management, 2021, 32(2): 673-695. [7] 岳丽荣, 邵博, 申君宜. 工业互联网对绿色创新绩效的影响——基于制造业的实证研究[J]. 科技与管理, 2020, 22(3): 28-36. [8] 肖仁桥, 沈佳佳, 钱丽. 数字化水平对企业新产品开发绩效的影响——双元创新能力的中介作用[J]. 科技进步与对策, 2021, 38(24):106-115. [9] RIJSDIJK S A, HULTINK E J, DIAMANTOPOULOS A. Product intelligence: its conceptualization, measurement and impact on consumer satisfaction[J]. Journal of the Academy of Marketing Science, 2007, 35(3): 340-356. [10] PAUL R D, JAMES W. Human+machine: reimagining work in the age of AI[M]. Boston: Harvard Business Review Press,2018. [11] JOHNSON M, GUSTAFSSON A, WITELL L. The effect of customer information during new product development on profits from goods and services[J]. European Journal of Marketing, 2014, 48(9/10): 1709-1730. [12] DU L, ZHANG Z, FENG T. Linking green customer and supplier integration with green innovation performance: the role of internal integration[J]. Business Strategy and the Environment, 2018, 27(8): 1583-1595. [13] 吴卫红, 赵鲲, 张爱美. 企业协同创新风险对创新绩效的作用路径研究[J]. 科研管理, 2021, 42(5): 124-132. [14] XIE X, HUO J, ZOU H. Green process innovation, green product innovation, and corporate financial performance: a content analysis method[J]. Journal of Business Research, 2019, 101(8): 697-706. [15] BENNER M J, TUSHMAN M L. Exploitation, exploration, and process management: the productivity dilemma revisited[J]. Academy of Management Review, 2003, 28(2): 238-256. [16] WANG J, XUE Y, SUN X, et al. Green learning orientation, green knowledge acquisition and ambidextrous green innovation[J]. Journal of Cleaner Production, 2020, 250: 119-475. [17] 吕文晶, 陈劲, 刘进. 工业互联网的智能制造模式与企业平台建设——基于海尔集团的案例研究[J]. 中国软科学, 2019,34 (7): 1-13. [18] 温湖炜, 钟启明. 智能化发展对企业全要素生产率的影响——来自制造业上市公司的证据 [J]. 中国科技论坛, 2021, 37(1): 84-94. [19] RIJSDIJK S A, HULTINK E J. How today's consumers perceive tomorrow's smart products[J]. Journal of Product Innovation Management, 2009, 26(1): 24-42. [20] TETSUO T, ERIC L, RAINER S, et al. Development capabilities for smart products[J]. CIRP Annals, 2019, 68(2): 727-750. [21] WANG Y, JIA T, CHEN J, et al. Does supplier involvement enhance financial performance? the encapsulation effects of product modularity and smartness[J]. Supply Chain Management, 2021, 27(2):144-161. [22] 谢明磊, 刘德胜. 关系如何驱动客户参与中小企业新产品开发——一个有调节的中介效应模型[J]. 技术经济, 2020, 39(3): 20-29. [23] KO W W, LIU G. How information technology assimilation promotes exploratory and exploitative innovation in the small-and medium-sized firm context: the role of contextual ambidexterity and knowledge base[J]. Journal of Product Innovation Management, 2019, 36(4): 442-466. [24] 曹翠珍. 资源型企业绿色创新与竞争优势研究[D]. 太原:山西财经大学, 2015. [25] 王璐. 供应链协同对创新绩效的影响机理研究[D]. 西安:西安理工大学, 2020. [26] ALAVI M, LEIDNER D E. Review: knowledge management and knowledge management systems: conceptual foundations and research issues[J]. Mis Quarterly, 2001, 25(1): 107-136. [27] LI Y, WU F, ZONG W, et al. Supply chain collaboration for ERP implementation[J]. International Journal of Operations & Production Management, 2017, 37(10): 1327-1347. [28] BUCIC T, NGO L V. Examining drivers of collaborative inbound open innovation: empirical evidence from Australian firms[J]. International Journal of Innovation Management, 2012, 16(4):123-167. [29] STANOVCIC T, VESNA B V, MIRJANA B P, et al. The effect of knowledge management on environmental innovation[J]. Baltic Journal of Management, 2015, 10(4): 413-431. [30] LI H, ATUAHENE-GIMA K. Product innovation strategy and the performance of new technology ventures in China[J]. Academy of Management Journal, 2001, 44(6): 1123-1134. [31] JANSEN J P, VANDEN B F, VOLBERDA H W. Exploratory innovation, exploitative innovation, and performance: effects of organizational antecedents and environmental moderators[J]. Management Science, 2006, 52(11): 1661-1674. [32] ANDERL R, FLEISCHER J. Guiding principles for the implementation of Industry 4.0 in small and medium sized businesses[M]. Frankfurt am Main: VDMA Verlag GmbH, 2016. [33] BODE C, WAHNER S M. Structural drivers of upstream supply chain complexity and the frequency of supply chain disruptions[J]. Journal of Operations Management, 2015, 36(5): 215-228. [34] SONG M, BENEDETTO C. Supplier's involvement and success of radical new product development in new ventures[J]. Journal of Operations Management, 2008, 26(1): 1-22. [35] PODSAKOFF P M, MACKENZIE S B, LEE J Y, et al. Common method biases in behavioral research: a critical review of the literature and recommended remedies[J]. Journal of Applied Psychology, 2003, 88(5): 879-903. [36] HU L T, BENTLER P M. Cut off criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives[J]. Structural Equation Modeling: a Multidisciplinary Journal, 1999, 6(1): 1-55. [37] FRONDEL M, HORBACH J, RENNINGS K. End-of-pipe or cleaner production? an empirical comparison of environmental innovation decisions across OECD countries[J]. Business Strategy and the Environment, 2007, 16(8): 571-584. [38] HAIR J F, RINGLE C M, SARSTEDT M. Partial least squares structural equation modeling: rigorous applications, better results and higher acceptance[J]. Long Range Planning, 2013, 46(1-2): 1-12. [39] MCCLELLAND G H, JUDD C M. Statistical difficulties of detecting interactions and moderator effects[J]. Psychological Bulletin, 1993, 114(2): 376-390.