黑客
概念化
过程(计算)
计算机科学
知识管理
产品创新
业务
营销
计算机安全
人工智能
操作系统
作者
Augusto Bargoni,Luboš Smrčka,Gabriele Santoro,Alberto Ferraris
出处
期刊:Technovation
[Elsevier BV]
日期:2023-12-20
卷期号:131: 102945-102945
被引量:28
标识
DOI:10.1016/j.technovation.2023.102945
摘要
The purpose of this study is to conceptualize the role of growth hacking, a data-driven iterative experimentation process, in minimizing the likelihood of innovation failure within firms. Drawing upon existing literature on innovation and growth hacking, we provide a conceptual background to frame our research. To investigate this phenomenon, we employ a qualitative approach that combines the Gioia method and phenomenography. Our primary data source consists of in-depth interviews conducted with managers and practitioners who possess extensive experience in innovation management and growth hacking. Through a systematic inductive concept development approach and a multilevel analysis, we develop a novel conceptualization that illustrates how growth hacking strategies can be effectively implemented across four levels of analysis: market, organization, project, and product. Our findings highlight the importance of adopting growth hacking practices to minimize the likelihood of innovation failure in each of these domains. From a practical perspective, we offer recommendations on the strategies that companies should employ to effectively learn from the challenges associated with innovation. By leveraging these insights, firms can enhance their ability to overcome potential obstacles and optimize their innovation processes.
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