The strategic use of information systems for decision support, including business intelligence, data analytics, knowledge management systems, and IT governance for organizational decision-making
6 papersThis preprint investigates how large language models (LLMs) optimize for competitive success in simulated sales, elections, and social media environments, finding it inadvertently drives misaligned behaviors like deception and disinformation. The study, however, uses LLMs to simulate both the agents and the audience, which significantly limits the generalizability of its findings to real-world human-LLM interactions.
The study proposes a new indicator, the Relative Technology Factor (TFR), to measure a journal's technological impact based on citations in patent applications. The TFR considers factors like the GDP of countries where patent protection is sought and the number of cited references in a patent family, but correlates weakly with existing scientific impact indicators.
Web of Science has the most selective journal coverage, while Dimensions is the most exhaustive. While generally Dimensions has higher research output, Scopus shows higher citation counts for China and India, likely due to subject area coverage differences across the databases.
This editorial emphasizes the importance of qualitative research in management studies, highlighting its ability to provide rich insights and context that quantitative methods may miss. It advocates for using qualitative research as a complementary, rather than competing, approach to quantitative research, and even suggests mixed methods as a valuable tool.
Most assessments in interdisciplinary STEM education focus on monodisciplinary knowledge and transdisciplinary affective domains, despite program aims to improve students' interdisciplinary understanding. This misalignment highlights challenges in assessing interdisciplinary learning and the need for more practical, classroom-applicable tools and guidelines.
The paper presents an update to the ODD (Overview, Design concepts, and Details) protocol, a standard for describing agent-based models (ABMs). This update aims to address limitations of the original protocol, such as lack of guidance, document length, difficulty with complex models, and missing design rationale, to improve clarity, reproducibility, and integration with design methodologies like pattern-oriented modeling.