Search results

Introduction: In the fiercely competitive insurance landscape, embracing personalized risk management offers insurers a strategic advantage, enabling the provision of innovative, customer-centric solutions tailored to individual policyholders.

Purpose: The purpose of the study was to identify AI factors that supports risk management in the insurance sector to assist investors and users to manage their risk using different AI tools.

Methodology: In the current study, primary data are collected by using simple random sampling from 372 respondents. A questionnaire was sent to more than 500 respondents, but the final sample size was 372 based on their complete responses and data provided in the questionnaire. Target audience was insurance services/policy users. The study is empirical in nature, and data analysis was done using factor analysis.

Findings: It was found that there are three major factors which can affect risk management in insurance such as better risk management, acceptance as well as anticipation, and better customization can be possible for the customers by utilizing AI-driven technology in insurance. The early identification of fraudulent behavior can enable the insurers in loss reduction as well as promoting competitive price policy for honest customers. An automative mechanism can be helpful in adjusting premiums on the basis of real-time assessment of risk factors.

This study aims to investigate international students’ experiences through a lens of knowledge management perspective, emphasizing their strategies for knowledge management in tandem with cultural adaptation. The primary objective is to elucidate how international students navigate cultural differences and use knowledge management strategies to augment their learning and integration, thereby supporting their academic progress in a new academic environment.

An in-depth qualitative research strategy was used, using semistructured interviews with Pakistani doctoral students who were studying in Australia. A thematic analysis was conducted to identify recurring themes and patterns in the data.

The findings reveal that international students adeptly adopt various knowledge management strategies to facilitate cultural adaptation. These strategies encompass embracing otherness through a sense of belonging, engaging in both personal and shared learning experiences, achieving individual success, and using critical inquiry as a guiding framework for observations. Notably, this study underscores the pivotal role played by cultural competence in conjunction with social networks, influencing cultural intelligence and, subsequently, impacting knowledge sharing and integration for academic progress.

This study’s findings provide practical insights for higher education institutions and policymakers, emphasizing the importance of supporting international students in their cultural adaptation and knowledge management endeavors. These practical implications encompass fostering a welcoming and inclusive environment, supporting intercultural engagement, using technology for enhanced learning and communication and promoting the development of cultural intelligence among international students.

This study contributes to the literature on international student experiences and knowledge management by providing insights into the strategies used by international students to navigate knowledge of cultural differences to enhance their learning experiences and advance academic progress. These findings contribute to a deeper understanding of the intersection between cultural adaptation and core knowledge management concepts of knowledge sharing and integration in the context of higher education.

To enhance the load capacity and dynamic characteristics of gas foil conical bearings (GFCBs), two kinds of microgrooves (sector and Fibonacci-like shape) are arranged on the top foil surface.

The Reynolds equation considering gas rarefaction effect is solved by the finite difference method, in which the 2D plate element stiffness model is used for the grooved top foil. The influence of groove on the static characteristics is studied, and the dynamic characteristics of novel bearing are obtained by the perturbation method.

The results show that the gas rarefaction effect on the load capacities is negligible, and the novel GFCB with microgrooved top foil has higher load capacities. Moreover, the deeper groove is conductive to the dynamic stability improvement. The positive Fibonacci-like groove seems to be the most suitable shape, which can largely increase the axial load capacity with little additional torque cost. And the improvement of dynamic characteristics for the Fibonacci-like grooved GFCB is also more favorable.

As the low cost of groove processing, it is an effective way to improve GFCB’s performance and even can be used to upgrade the bearings in service.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-04-2024-0148/