مطالب

The traditional anthropocentric understanding of human rights is undergoing a profound re-evaluation in contemporary legal discourse. While historically focused on the individual human being, recent developments in international and regional human rights law reveal a nascent yet significant trend towards extending rights and protections to non-human entities. This article examines the legal basis and implications of recognizing "rights of nature" and considering the human rights dimensions of artificial intelligence, arguing that these emerging subjects challenge and reshape foundational concepts within human rights law. Abstract: The traditional anthropocentric understanding of human rights is undergoing a profound re-evaluation in contemporary legal discourse. While historically focused on the individual human being, recent developments in international and regional human rights law reveal a nascent yet significant trend towards extending rights and protections to non-human entities. This article examines the legal basis and implications of recognizing "rights of nature" and considering the human rights dimensions of artificial intelligence, arguing that these emerging subjects challenge and reshape foundational concepts within human rights law. Abstract: The traditional anthropocentric understanding of human rights is undergoing a profound re-evaluation in contemporary legal discourse. While historically focused on the individual human being, recent developments in international and regional human rights law reveal a nascent yet significant trend towards extending rights and protections to non-human entities. This article examines the legal basis and implications of recognizing "rights of nature" and considering the human rights dimensions of artificial intelligence, arguing that these emerging subjects challenge and reshape foundational concepts within human rights law.

Purpose : The purpose of this research is to design a model for evaluating digital innovation and transformation in startup business models. Method : The methodology of this reseatch is descriptive-exploratory and employs a qualitative approach. The thematic analysis was employed to study digital innovation and transformation in startup business models. The participants in this research were academic and industrial experts with a background in research and executive work in lean startups. Initially, a purposive sampling method was used to select the samples, and this was later extended using the snowball method. Ultimately, the researcher conducted 14 expert interviews to collect data. The data obtained from the interviews were reviewed and analyzed using coding based on theme analysis. Initially, codes were extracted from the text of the interviews. These codes were aggregated into more general codes, which were further studied and integrated into components. From these components, relevant dimensions were proposed, leading to the presentation of a model based on these dimensions and extracted components. Findings : The results indicate that the digital Innovation and transformation evaluation model for startup business models includes six main dimensions and 19 sub-themes. The proposed model consists of the following dimensions: "monitoring and analysis of market needs" with three components, "evaluation of product development costs" with three components, "digital innovation and transformation in the business model" with four components, "coordination and integration inside and outside the organization" with two components, "evaluation of learning ability and absorption of organizational knowledge" with three components, and "organizational resources and capacities" with four components. Conclusion : Based on the research findings, it is suggested that managers in the technology field understand the importance of lean startups. The indicators in the proposed model may be considered to help prepare and empower startups to improve their products and services. Each proposed dimension can be seen as a management skill necessary for the success of lean startups. Managers may create the appropriate conditions to integrate all of company capabilities.