Sep 2026· Management Research Review· 15 references
ERP Systems Implementation and Impact
Abstract
Purpose This study aims to investigate the combined effects of advanced information technologies that include data analytics, enterprise resource planning (ERP) and the Internet of Things (IoT) and enterprise risk management (ERM) on organizational performance, with a specific focus on profitability across various industries. Design/methodology/approach The research uses a random effects panel regression model to estimate the impact of capital, labor and other independent variables (i.e. ERM maturity, ERP adoption, IoT use and data analytics) on gross profit. The study uses data collected from 88 Fortune 1,000 companies, yielding 853 firm-year observations across an unbalanced panel spanning 3–10 years. Panel data modeling techniques ensure robust analysis by accounting for firm-specific heterogeneity and temporal variation. Other data sources include Google searches, third-party data vendors and specialized data collection websites. Findings The findings indicate a positive association between the use of advanced information technologies and organizational performance. Specifically, data analytics and IoT significantly enhance the effectiveness of ERM, leading to improved profitability. The results are particularly pronounced in information technology-intensive industries, whereas manufacturing and financial services show mixed outcomes. The study highlights that frequent ERM activities and advanced data analytics capabilities are critical drivers of better performance. Research limitations/implications There may be additional factors that the authors did not get to explore that might increase the effectiveness of ERM programs, such as Generative AI. In addition, the authors would have liked to obtain more qualitative information about the interactions of advanced technologies with ERM programs and processes. Originality/value This study contributes to the literature by providing a comprehensive model that integrates ERM practices with advanced information technologies. It underscores the importance of technological advancements in enhancing ERM’s impact on performance. The research also provides a framework for assessing ERM maturity and frequency, offering practical insights for organizations aiming to leverage technology for improved risk management and organizational outcomes.
The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.
Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson· EUROMICRO Conference on Soft...· 64 citations· ⚡6
The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
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A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
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The use of large language models to automatically improve the user story quality in Austrian Post Group IT agile teams is explored, with a reference model for an Autonomous LLM-based Agent System developed and implemented at the company.
Zheying Zhang, M. Rayhan, Tomas Herda et al.· International Conference on...· 48 citations· ⚡4
This paper introduces a novel multi-AI-agent system designed to fully automate SLRs, and demonstrates how it substantially reduces the time and effort traditionally required for SLRs while maintaining comprehensiveness and precision.
Abdul Malik Sami, Z. Rasheed, Kai-Kristian Kemell et al.· arXiv.org· 44 citations· ⚡2
The proposed LLM-based multi-agent system automates qualitative data analysis process, creating opportunities for researchers and practitioners, and future improvements focus on enhancing multilingual performance and integrating continuous expert feedback.
Z. Rasheed, Muhammad Waseem, Aakash Ahmad et al.· arXiv.org· 41 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
MIT News · Artificial Intelligence· news.mit.eduOct 15, 2026