IoT as a disruptive technology is contributing toward ground-breaking experiences in contemporary enterprises and in our daily life. Rapidly changing business environment and phenomenally evolving technology enhancement necessitate a robust understanding of IoT implications from business and management perspective. The current study benefits from an explanatory sequential mixed-method approach to represent and interpret the inductive topical framework of IoT literature in business and management with emphasis on business model. Bayesian statistical topic model called latent Dirichlet allocation is employed to conduct a comprehensive analysis of 347 related scholarly articles to reveal the topical composition of related research. Further, we followed a thematic analysis for interpreting the extracted topics and gaining in-depth qualitative insights. Theoretical implications with emphasizing on research agenda for future study avenues and managerial implications based on influential themes are provided.

物联网作为一种颠覆性技术正在为当代企业和我们日常生活中的突破性体验做出贡献。快速变化的商业环境和飞速发展的技术增强需要从业务和管理的角度深入了解物联网的影响。当前的研究受益于解释性顺序混合方法方法来表示和解释物联网文献在商业和管理中的归纳主题框架，重点是商业模型。采用称为潜在狄利克雷分配的贝叶斯统计主题模型对347篇相关学术文章进行综合分析，揭示相关研究的主题构成。此外，我们遵循主题分析来解释提取的主题并获得深入的定性见解。