利用大数据,充分利用客户需求多样性,实现突破性创新

IF 3.5 3区 管理学 Q2 BUSINESS
Tereza Dean, Haisu Zhang, Yazhen Xiao
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引用次数: 1

摘要

摘要尽管顾客需求的多样性日益增加,但很少有经验证据能够指导管理者利用顾客需求多样性(CND)进行突破性创新。在基于知识的观点和动态能力的基础上,作者探讨了CND、战略灵活性、大数据分析能力和激进创新绩效之间的关系。通过对308名创新经理的调查反馈,作者发现CND通过(1)战略灵活性的中介作用和(2)与大数据分析相关的数量、种类和速度能力的调节作用来影响突破性创新绩效。体积和速度能力的调节作用同时是正面和负面的,这取决于CND的使用目的。因此,为了充分利用客户需求的多样性,企业需要建立战略灵活性,并在利用大数据分析能力时谨慎行事。关键词:突破性创新、客户需求、战略灵活性、大数据、新产品开发披露声明作者未发现潜在利益冲突。虽然我们的研究侧重于数量、种类和速度,但值得注意的是,最近的研究增加了四个v来描述大数据的特征,即准确性、价值、可行性和可视化。我们专注于数量、种类和速度,因为它们是大数据的原始属性。我们将其定义为公司与大数据分析相关的能力。作者简介:tereza Dean tereza Dean是波尔州立大学市场营销学助理教授。她拥有密歇根州立大学博士学位。Tereza的研究兴趣包括产品创新、营销策略和营销渠道,她的研究成果发表在Journal of marketing、marketing Letters、technology innovation和Journal of marketing Education上。张海粟,新泽西理工学院市场营销与创业学副教授。主要研究方向为产品创新、营销策略、共享经济、3D打印等。他的研究成果发表在《Journal of Product Innovation Management》、《Journal of Business Research》、《International Journal of Research in Marketing》、《R&D Management》、《Journal of International Marketing》、《Industrial Marketing Management》、《technology》、《International Journal of Production Research》和《Journal of Organizational Change Management》上。肖亚珍,波特兰州立大学市场营销学助理教授。她在伊利诺伊大学芝加哥分校(UIC)获得工商管理博士学位。她的研究兴趣包括创新和新产品开发、数字创新采用和医疗保健服务。她曾在《市场科学学会杂志》、《商业研究杂志》、《商业伦理杂志》、《产品创新管理杂志》、《服务研究杂志》、《工业营销管理》、《国际营销评论》和《营销研究评论》等期刊上发表文章。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use big data to leverage customer need diversity for radical innovation
ABSTRACTDespite the growing diversity of customer needs, little empirical evidence would guide managers to leverage customer need diversity (CND) for radical innovation. Building on the knowledge-based view and dynamic capabilities, the authors explore relationships among CND, strategic flexibility, big data analytics capabilities, and radical innovation performance. With 308 survey responses from innovation managers, the authors find that CND impacts radical innovation performance via (1) mediation through strategic flexibility and (2) moderation by volume, variety, and velocity capabilities associated with big data analytics. The moderation effects of volume and velocity capabilities are positive and negative simultaneously, depending on the purpose for which CND is utilised. Therefore, to leverage customer need diversity, firms need to build strategic flexibility and exercise caution when utilising big data analytics capabilities.KEYWORDS: Radical innovationcustomer needsstrategic flexibilitybig datanew product development Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1. While our research focuses on volume, variety, and velocity, it is important to note that recent research added four more Vs to characterise big data which are veracity, value, viability, and visualisation. We focus on volume, variety, and velocity since they are the original properties of big data. We conceptualise them as a firm’s capabilities associated with big data analytics.Additional informationNotes on contributorsTereza DeanTereza Dean is Assistant Professor of Marketing at Ball State University. She holds a Ph.D. degree from Michigan State University. Tereza’s research interests include product innovation, marketing strategy, and marketing channels and her work has been published in Journal of Marketing, Marketing Letters, Technovation, and Journal of Marketing Education.Haisu ZhangHaisu Zhang is Associate Professor of Marketing and Entrepreneurship at New Jersey Institute of Technology. His research interests include product innovation, marketing strategy, sharing economy, and 3D printing. His work has been published in Journal of Product Innovation Management, Journal of Business Research, International Journal of Research in Marketing, R&D Management, Journal of International Marketing, Industrial Marketing Management, Technovation, International Journal of Production Research, and Journal of Organizational Change Management.Yazhen XiaoYazhen Xiao is Assistant Professor of Marketing at Portland State University. She obtained her doctorate in Business Administration from the University of Illinois at Chicago (UIC). Her research interests include innovation and new product development, digital innovation adoption, and health care services. She has published in refereed journals, including the Journal of the Academy of Marketing Science, Journal of Business Research, Journal of Business Ethics, Journal of Product Innovation Management, Journal of Service Research, Industrial Marketing Management, International Marketing Review, and Review of Marketing Research.
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