Oct 2026· Jurnal Ilmu Sosial, Manajemen, Akuntansi dan Bisnis.
Quality and Supply Management
Abstract
This systematic literature review examines the impact of business operations management on organizational business performance in Indonesia during 2015-2025. From 37 peer-reviewed articles analyzed using qualitative and quantitative approaches, research findings demonstrate that business operations management, particularly supply chain management, quality management, and digital transformation, significantly influence organizational performance in Indonesia across operational, financial, and strategic dimensions. The study identifies competitive advantage, organizational innovation, and supply chain integration as strong mediating variables in the relationship between operations management practices and organizational performance. Additionally, the adoption of Industry 4.0 technologies such as IoT, artificial intelligence, and big data analytics shows substantial positive impacts on operational efficiency. These findings contribute to a deeper understanding of the mechanisms through which business operations management enhances organizational performance in the Indonesian and ASEAN context. Practical implications include recommendations for managers and policymakers to integrate sustainable operations management practices with digital technology investments to achieve long-term competitive advantage.
This paper investigates developing real-world perception for active agents, proposes Gibson Environment for this purpose, and showcases a set of perceptual tasks learned therein.
F. Xia, Amir Zamir, Zhi-Yang He et al.· 2018 IEEE/CVF Conference on...· 1,069 citations· ⚡112
GAOKAO-Bench is introduced, an intuitive benchmark that employs questions from the Chinese GAOKAO examination as test samples, including both subjective and objective questions that contribute a robust evaluation benchmark for future large language models and offers valuable insights into the advantages and limitations...
Xiaotian Zhang, Chun-yan Li, Yi Zong et al.· arXiv.org· 216 citations· ⚡17
An algorithm is proposed which leverages disentangled semantic factors to generate adversarial perturbation by altering controlled semantic attributes to fool the learner towards various "adversarial" targets.
Haonan Qiu, Chaowei Xiao, Lei Yang et al.· arXiv.org· 208 citations· ⚡17
This work proposes a HALO that directly maximizes the utility of generations instead of maximizing the log-likelihood of preferences, and suggests that the best loss depends on the inductive biases most appropriate for a given setting, an oft-overlooked consideration.
This work investigates the possibilities of using LLMs in a resume screening setting via a document retrieval framework that simulates job candidate selection and finds that the MTEs are biased, significantly favoring White-associated names in 85% of cases and female-associated names in only 11.1% of cases.
This work shows that orders of magnitude enhancement in performance could be obtained by a combination of hardware improvements and tight quantum-HPC integration and introduces high-performance architectures for quantum-probabilistic computing with custom-designed accelerators to tackle today's industry-scale classical...
Masoud Mohseni, Artur Scherer, K. Johnson et al.· arXiv.org· 121 citations· ⚡9