当前位置: X-MOL 学术J. Strategic Inf. Syst. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Pathways to digital business models: The connection of sensing and seizing in business model innovation
The Journal of Strategic Information Systems ( IF 7 ) Pub Date : 2022-11-07 , DOI: 10.1016/j.jsis.2022.101742
Timo Phillip Böttcher , Jörg Weking , Andreas Hein , Markus Böhm , Helmut Krcmar

Digital business model innovation (BMI) is critical to achieving and sustaining competitiveness in technology-driven environments. In those environments, firms must not only sense changes to identify opportunities but also effectively seize them in BMI. Therefore, sensing and seizing cannot be considered as isolated dynamic capabilities, but must be combined for successful BMI. However, research on sensing and seizing does not offer compelling suggestions for firms that struggle with connecting both while pursuing digital BMI. We use qualitative configurational analysis (QCA) to analyze a sample of 49 case studies on digital BMI to identify the antecedents that firms sense before seizing these changes with digital BMI. Based on ten configurations of sensing (represented by six antecedents) and seizing (represented by four BMI types), we explain the relationship between sensed antecedents and seized digital BMI. In addition, we derived four variables that explain “what” and “how” firms connect sensing and seizing. Based on the sensing-seizing connection, we introduce consolidating BMI as a new type of BMI unique to the digital context. This novel type enables firms to exploit and explore new BMs and subsequent digital BMIs through the means of digital infrastructure. This study extends the understanding of how different business models emerge and how firms create digital BMIs.



中文翻译:

通向数字化商业模式的途径:商业模式创新中感知与捕捉的连接

数字商业模式创新 (BMI) 对于在技术驱动的环境中实现和保持竞争力至关重要。在这些环境中,公司不仅要感知变化以识别机会,还要在 BMI 中有效地抓住它们。因此,传感和捕获不能被视为孤立的动态能力,而必须结合起来才能成功实现 BMI。然而,对于在追求数字 BMI 的同时努力将两者联系起来的公司来说,关于传感和捕获的研究并没有提供令人信服的建议。我们使用定性配置分析 (QCA) 来分析 49 个关于数字 BMI 的案例研究样本,以确定公司在利用数字 BMI 抓住这些变化之前感知到的前因。基于感知(由六个前因表示)和捕获(由四种 BMI 类型表示)的十种配置,我们解释了感知的前因和查获的数字 BMI 之间的关系。此外,我们推导出了四个变量来解释企业将感知和抓取联系起来的“什么”和“如何”。基于感知-捕获连接,我们将整合 BMI 作为数字环境独有的新型 BMI 进行了介绍。这种新颖的类型使公司能够通过数字基础设施开发和探索新的 BM 和随后的数字 BMI。这项研究扩展了对不同商业模式如何出现以及公司如何创建数字 BMI 的理解。这种新颖的类型使公司能够通过数字基础设施开发和探索新的 BM 和随后的数字 BMI。这项研究扩展了对不同商业模式如何出现以及公司如何创建数字 BMI 的理解。这种新颖的类型使公司能够通过数字基础设施开发和探索新的 BM 和随后的数字 BMI。这项研究扩展了对不同商业模式如何出现以及公司如何创建数字 BMI 的理解。

更新日期:2022-11-08
down
wechat
bug