Learning from artificial intelligence researchers about international business implications DOI Creative Commons
Vanessa Ratten, Rakibul Hasan, Deepak Kumar

и другие.

Thunderbird International Business Review, Год журнала: 2024, Номер 66(2), С. 211 - 219

Опубликована: Фев. 22, 2024

Abstract Artificial intelligence is a dynamic and emerging form of technological innovation that has numerous ramifications for international business managers. The aim this article to obtain commentary from researchers about the role artificial will play in global arena. This includes asking questions how it affect internationalization processes whether lead more collaboration. Well‐known provide advice on what managers should do terms staying competitive but also they can integrate learning into their operations. Lastly, suggestions future research regarding interplay between are provided.

Язык: Английский

Advancing Sustainability DOI
Nitish Kumar Minz,

Yash Khattar

Advances in business information systems and analytics book series, Год журнала: 2024, Номер unknown, С. 246 - 261

Опубликована: Янв. 16, 2024

This research explores how artificial intelligence (AI) can enhance corporate sustainability by leveraging environmental, social, and governance (ESG) practices. It investigates the effective integration of AI into ESG initiatives, addressing challenges ethical considerations. The study employs a literature review case studies to demonstrate AI's impact on efforts, focusing data analysis, predictive modeling, risk assessment. highlights potential revolutionize ESG, enabling data-driven decision-making fostering sustainability-driven innovation. chapter contributes understanding expanding role for sustainability, emphasizing its importance in today's business landscape.

Язык: Английский

Процитировано

7

Automating attendance management in human resources: A design science approach using computer vision and facial recognition DOI Creative Commons
Tat-Bao-Thien Nguyen,

Minh-Quoc Bui,

Vuong M. Ngo

и другие.

International Journal of Information Management Data Insights, Год журнала: 2024, Номер 4(2), С. 100253 - 100253

Опубликована: Май 23, 2024

Haar Cascade is a cost-effective and user-friendly machine learning-based algorithm for detecting objects in images videos. Unlike Deep Learning algorithms, which typically require significant resources expensive computing costs, it uses simple image processing techniques like edge detection features that are easy to comprehend implement. By combining with OpenCV2 on an embedded computer the NVIDIA Jetson Nano, this system can accurately detect match faces database attendance tracking. This aims achieve several specific objectives set apart from existing solutions. It leverages Cascade, enriched carefully selected features, such as Haar-like wavelets, employs advanced techniques. These enable precise face matching both videos, contributing high accuracy robust performance. doing so, minimizes manual intervention reduces errors, thereby strengthening accountability. Additionally, integration of Nano optimizes efficiency, making suitable resource-constrained environments. caters diverse range educational institutions, including schools, colleges, vocational training centers, various workplace settings small businesses, offices, factories. Its adaptability distinct organizational requirements ensures its relevance effectiveness across broad spectrum users. One distinguishing databases. enables efficient storage records supports customizable report generation. comprehensive data management capability readily accessible monitoring analysis purposes, improved decision-making processes. Implementing Cascade-based offers benefits. not only workload associated tracking but also enhancing overall accuracy. The system's affordability efficiency democratize technology, broader audience. Consequently, has potential transform practices, ultimately leading heightened productivity In conclusion, represents groundbreaking approach management. OpenCV2, addresses needs institutions workplaces, offering cost-effective, efficient, adaptable solution revolutionize practices.

Язык: Английский

Процитировано

6

Indicators to Digitization Footprint and How to Get Digitization Footprint (Part 2) DOI
Qiang Huang,

Xu Wang,

Qi Gao

и другие.

Computers and Electronics in Agriculture, Год журнала: 2024, Номер 224, С. 109206 - 109206

Опубликована: Июль 15, 2024

Язык: Английский

Процитировано

6

Unrevealing the nexus between Digital Sustainability and Corporate Digital Responsibility: a dual-track systematic literature review towards a framework of Corporate Digital Sustainability DOI Creative Commons
Claudia Covucci, Maria Giovanna Confetto, Aleksandr Ključnikov

и другие.

Technology in Society, Год журнала: 2024, Номер unknown, С. 102743 - 102743

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

6

Learning from artificial intelligence researchers about international business implications DOI Creative Commons
Vanessa Ratten, Rakibul Hasan, Deepak Kumar

и другие.

Thunderbird International Business Review, Год журнала: 2024, Номер 66(2), С. 211 - 219

Опубликована: Фев. 22, 2024

Abstract Artificial intelligence is a dynamic and emerging form of technological innovation that has numerous ramifications for international business managers. The aim this article to obtain commentary from researchers about the role artificial will play in global arena. This includes asking questions how it affect internationalization processes whether lead more collaboration. Well‐known provide advice on what managers should do terms staying competitive but also they can integrate learning into their operations. Lastly, suggestions future research regarding interplay between are provided.

Язык: Английский

Процитировано

5