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The focus is the interplay of cognitive capabilities (mathematical understanding and heuristic problem solving) and learning from feedback. Furthermore, the authors analyze the role of individual factors in designing appropriate feedback systems for complex decision-making situations. Based on a learning model the purpose of this paper is to present an experimental study analyzing the feedback effectiveness in a repeated complex production planning task. Referring to individual characteristics in terms of educational background and problem solving capabilities of the decision maker the authors compare different forms of feedback systems.

The authors performed four experiments bi-weekly based on a realistic production planning situation. Participants received – depending on the treatment – different types of feedback concerning the final outcomes of the production plans. For testing the hypotheses, the authors conducted ANCOVAs and additional post hoc tests for each subgroup to explore the effects of different types of feedback on the subgroups’ decision-making performance.

The authors show that feedback information is not always helpful, but due to acquired knowledge and problem solving capabilities can even be harmful. The authors also show that, depending on the decision maker’s individual characteristics and her past performance, the type of feedback is crucial for the learning process.

The study provides important information about feedback design taking individual characteristics of decision makers (educational background, work experience) into account. Applying the results of the study can increase decision-making performance and enhance learning of production planning tasks.

The findings extend previous literature reporting that the performance in complex decision-making tasks depends on educational background and on the ability to cope with the phenomena of cognitive load, working memory limitations and the capability to utilize relevant heuristics to prevent information overload. Some of our results, e.g., the negative impact of non-financial feedback of high-performing economists, contradict the general findings in the literature.

With shortening product life cycles and an increasing number of product variants, manufacturing firms perform more production ramp-ups. In this context, learning is crucially important to quickly achieve high production process quality and stability. The paper aims to discuss this issue.

Through a laboratory experiment, this study analyzes spillover learning between consecutive ramp-ups and how this phenomenon is influenced by tacit knowledge transfer through observation and imitation.

The results prove the existence of spillover learning between consecutive ramp-ups. Moreover, they provide evidence how tacit knowledge transfer through observation and imitation enhances learning of new tasks in consecutive production ramp-ups.

Future research could focus on the specific psychological processes driving tacit knowledge transfer and spillover learning, a topic which is only touched upon in this paper.

The findings show that manufacturing firms should not only aim at reaching a steep learning curve during a single production ramp-up, but should also take into account the effects of spillover learning with regard to future production ramp-ups. Furthermore, the paper provides novel insights concerning the allocation of workers to production tasks with regard to previous experience when introducing new personnel and during ramp-up phases.

Previous evidence on the existence and characteristics of spillover learning in production ramp-up situations is not conclusive. This paper provides new and unambiguous insights by considering different organizational settings.

The purpose of this review is to examine the current state-of-the-art in artificial intelligence (AI) implementations within library settings across Southeast Asia.

The study uses the AI Library Services Innovative Conceptual Framework (AI-LSICF) to evaluate the AI initiatives in Southeast Asian libraries. Sources include relevant libraries and association’s websites, mainstream newspapers across Southeast Asia, together with academic papers published between 2019 and 2024, with a focus solely on English-language literature.

Most of the Southeast Asian libraries are in the decision and implementation stages in utilising AI technologies into library operations. It is evident that most of the libraries have made the decision to embrace AI techniques in the workplace and have started to implement the AI-enabled applications. Nevertheless, those implementations are not yet comprehensive and most of the projects are still in the trial stage. This suggests a unanimous decision concerning the use of AI in the libraries across the region has not been reached. Librarians may still face challenges and concerns in adopting AI, including resource constraints, application maintenance, staff reluctance, staff training, data security concerns and more.

A limitation of this study is its focus on completed and published projects, due to limited access to ongoing or unpublished initiatives. Non-English publications were excluded which may have omitted relevant studies and insights from non-English-speaking countries.

This paper seeks to address the gap by conducting a review of the current landscape of AI applications within libraries across Southeast Asia. Its aim to provide valuable insights for Southeast Asian libraries which seek to leverage AI advancements, ultimately supporting more user-centric and technologically adept library services.

The originality of this paper lies in its unique perspectives on library settings in Southeast Asia, showcasing successful projects while also pinpointing areas and countries in need of further development.

This study aimed to evaluate the antimicrobial activity of the aqueous extract from jaboticaba skin against important foodborne bacteria and fungi and its stability.

Jaboticaba skin aqueous extract (at ratio of 10 g L-1) was tested against Listeria monocytogenes, Staphylococcus aureus, Bacillus cereus and Escherichia coli. Stability of the anti-staphylococcal activity, total phenolics, monomeric anthocyanins, tannins, phenolic acid content were measured and statistically correlated.

The residue extract inhibited L.monocytogenes, S.aureus, B.cereus and E.coli growth but was not effective against fungi and was stable to the thermal treatments, remaining with its inhibitory activity against S.aureus. When stored for 14 days at 25 °C with an incidence of light, there was a reduction in the antibacterial activity and in the phenolic compounds. The change in pH slightly changed polyphenolic content profile, and the exposure to papain and bromelain did not affect the antimicrobial activity. Results showed strong correlation between anti-staphylococcal activity, the presence of polyphenols and anthocyanins, meanwhile moderate correlation with phenolic acids content in the extract.

Biopreservatives are a great trend in food microbiology. The present work shows deeper information about the utilization of jaboticaba skin as antimicrobial agent and its stability, which is not found in the current literature.