Understanding the role of the determinants of the ethical decision making in business organizations has become increasingly appealing to the field of business ethics. Various ethical decision making models put more emphasis on a narrow set of determinants. In concert with other contextual factors, these determinants appear to drive the ethical decision making in business organizations. However, in the literature there seems to be room for a more holistic set of determinants, which can explain effectively and holistically the diverse ethical rationales underlying the decision making more effectively. In this paper, the authors set out several ethical models and extract the predominant determinants. After portraying the main literature, the authors conclude that the most recent models are based on the first generation of ethical models, which tend to be more theoretical than empirical. They note the lack of empirical research in this area, which can be explained by both the nature and the intricateness of business ethics. They find that empirical analysis, when it exists, tends to focus on specific variables. The authors highlight at the end of the paper the need for integrative ethical models, which tackle not only the “how” but also the “why” of ethical decision making.

The proliferation of the internet of things makes the gray area of ethics darker and lighter simultaneously, and the law is currently not construed to accompany the steady progression toward the internet of bodies. The internet of things is challenging the traditional construct of ownership, and users are progressively losing control over their IoT devices. The internet of bodies is the awaiting new normal where human bodies and minds form a connected network pervaded by the Internet. The integrity of human bodies will rely more and more on the internet. In this context, the future calls for a balance between divergent interests of appealing technological progress and vital human safety.

In the era of the Internet of Things, innovative business model initiatives continue to deepen, and the trend of search domains continues to expand. This paper aims to scientifically analyze research trends of the Internet of Things in relation to Business Model Innovation through bibliometric studies. The data were collected using the Clarivate Web of Science (WoS) Core Collection (SSCI and SCI indexed) from 2005 to 2022 (November). However, the publications for the research domains started in 2015. The results show that scientific publications on the Internet of Things in relation to Business Model Innovation have increased gradually since 2019. The WoS database is utilized for analyses because it contains journals and conference proceedings deemed more relevant by the academic domain and highly reputable sources for bibliometric studies. The VOS viewer, R Language, and Microsoft Excel were also used to analyze and complete the study. Bibliometric and scientometric analyses were conducted to identify publication patterns, text analysis, most important keywords (co-word, word cloud, and co-occurrence), trends for the topicality, and content clustering for the publication periods. The visualization of the research trends of the Internet of Things in relation to Business Model Innovation resulted in four co-occurrence clusters leading to some of the topic areas mentioned as follows: (1) The Internet of Things, (2) Business model innovation, (3) Technology infrastructure, and (4) Digital transformation and capabilities. The results of this study will assist academics in identifying worldwide research trends related to the Internet of Things and Business Model Innovation as well as recommending future research areas.