Corporate Social Responsibility in Difficult Times / / edited by David Crowther, Shahla Seifi

• Record Nr.: UNINA9910734880303321
• Pubbl/distr/stampa: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
• ISBN: 981-9925-91-6
• Edizione: [1st ed. 2023.]
• Descrizione fisica: 1 online resource (249 pages)
• Collana: Approaches to Global Sustainability, Markets, and Governance, , 2520-8780
• Disciplina: 658.408
• Soggetti: Corporate governance; Business ethics; Political science; Business logistics; Corporate Governance; Business Ethics; Governance and Government; Supply Chain Management
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: Part 1 Global approaches: 1. CSR communication on social media as a driver of the non-financial performance of the firm: Role of chief executive officers and senior executives in CSR communication – A viewpoint Shivani Thakur -- 2. Un/natural disasters III: Aesthetics, religion, and ethics and of multiple simultaneous un/natural disasters Kristijan Krkač -- 3. CORPORATE SOCIAL RESPONSIBILITY, MARKET VALUE CREATION AND THE MODERATING EFFECT OF PSII IN INDIAN FIRMS Nitika Gaba & R.Madhumathi -- 4. Exploring the Hybridity Dilemma: The Role of Personal Values Amira Magdy Mirghani & Raghda El Ebrashi -- Part 2 Regional approaches: 5. INTEGRATION INITIATIVES AND TRAJECTORIES OF INNOVATIVE DEVELOPMENT OF THE FINANCIAL MARKET Natallia V. Maltsevich, Ilya V. Maltsevich, Tatiana V. Proharava -- 6. A training evaluation context of Corporate Social Responsibility Education Case : Université des Mascareignes Nirmal Kumar Betchoo -- 7. Evaluating Extents of Assistanceof Telecommuting in Businesses ; During the Covid-19 Pandemic Shameera Lauthan, Mahejabeen Peermamode-Mohaboob, Mohammad Kaleem Galamali & Muhammad Hishaam Ibn Afzal Lauthan -- Part 3 Corporate approaches: 8. Are companies in Madagascar sensitive to CSR? Hajaina RAVOAJA, Justin Nathanaël ANDRIANAIVOARIMANGA & Lantoniaina Béatrice RALIJERSON -- 9. Determinants of Integrated Reporting Assurance: Evidence from Australia Girish Napaul & Dinesh Ramdhony -- 10. Environmental strategy & management and accounting information system’s relationship: a Portuguese case study Sónia Monteiro & Verónica Ribeiro -- 11. The impact of COVID-19 on the Corporate Social Responsibility of Top 100 Companies in Mauritius Sheistah Bundhoo-Deenoo.
• Sommario/riassunto: It has been fairly traumatic for everyone and every organization over the last couple of years as we have had to deal with the coronavirus pandemic. It has certainly been a shock to the economic system of the world from which many are still recovering. Equally it has affected social systems and the environment, the effects of which are still being felt and will be felt for some time to come. In addition, there has been a fairly general economic crisis around the world as people struggle and adapt to the new environment. Certainly, there have been and will be changes which are likely to become permanent. While recovering from one crisis however another is becoming more significant as climate change and its effects start to become ever more apparent. So, it seems inevitable that difficult times will continue into the future. This book therefore sets out to examine aspects of the changes to corporate and institutional behaviour which have come about by the difficult times of needing to deal with past and future crises. The international origins of the contributors to this volume make this very original, taking some of the best ideas from around the world. This approach is based on the tradition of the Social Responsibility Research Network (SRRNet.org), which in its 20-year history has sought to broaden the discourse and to treat all research as inter-related and relevant to business. This tradition has always been to explore the subject widely and to seek relevant solutions, while also sharing best practice. .

PRICAI 2024: Trends in Artificial Intelligence : 21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024, Kyoto, Japan, November 18–24, 2024, Proceedings, Part II / / edited by Rafik Hadfi, Patricia Anthony, Alok Sharma, Takayuki Ito, Quan Bai

• Record Nr.: UNISA996630872103316
• Autore: Hadfi Rafik
• Pubbl/distr/stampa: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
• ISBN: 9789819601196; 9789819601189
• Edizione: [1st ed. 2025.]
• Descrizione fisica: 1 online resource (482 pages)
• Collana: Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 15282
• Altri autori (Persone): AnthonyPatricia; SharmaAlok; ItoTakayuki; BaiQuan
• Disciplina: 006.3
• Soggetti: Artificial intelligence; Computers; Computer networks; Social sciences - Data processing; Image processing - Digital techniques; Computer vision; Pattern recognition systems; Artificial Intelligence; Computing Milieux; Computer Communication Networks; Computer Application in Social and Behavioral Sciences; Computer Imaging, Vision, Pattern Recognition and Graphics; Automated Pattern Recognition
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: -- Deep Learning. -- STLB-GN: Spatio-Temporal Dual Graph Network with Learnable Bases. -- Rethinking the Reliability of Post-hoc Calibration Methods under Subpopulation Shift. -- Zero-shot ; Heterogeneous Graph Embedding via Semantic Extraction. -- TG-PhyNN: An Enhanced Physically-Aware Graph Neural Network framework for forecasting Spatio-Temporal Data. -- Stock Market Index Movement Prediction using Partial Contextual Embedding BERT-LSTM. -- SCBC: A Supervised Single-cell Classification Method Based on Batch Correction for ATAC-seq Data. -- TS-CATMA: A Lung Cancer Electronic Nose Data Classification Method Based on Adversarial Training and Multi-Scale Attention. -- Visualizing the Unseen: Arabic Image-to-Story Generation Using Deep Learning Techniques. -- Federated Learning. -- Federated Prompt Tuning: When is it Necessary?. -- Dirichlet-Based Local Inconsistency Query Strategy for Active Domain Adaptation. -- FedSD: Cross-Heterogeneous Federated Learning Based on Self-Distillation. -- Personalized Federated Learning with Feature Alignment via Knowledge Distillation. -- Multi-Party Collaborative Hate Speech Study on Social Media via Personalized Federated Learning. -- Preserving Individual User’s Right to be Forgotten in Enterprise-Level Federated Learning. -- Generative AI. -- Dance Generation From Music with Enhanced Beat. -- Contrastive Prototype Network for Generative Zero-Shot learning. -- Steganography: An improved robust model for deep hidden network. -- Human- and AI-Generated Marketing Content Comparison Corpus, Evaluation, and Detection. -- Natural Language Processing. -- Mongolian-Chinese Cross-lingual Topic Detection Based on Knowledge Distillation and Contrastive Learning Methods. -- Emergence of Grounded Language Representations for Continuous Object Properties through Decentralized Embodied Learning. -- AI-facilitation for consensus-building by virtual discussion using large language models. -- False Positive Detection for Text-based Person Retrieval. -- An End-to-End Method for Chinese Spelling Error Detection and Correction. -- Dialogue Summarization based on Feature Extraction and Commonsense Injection. -- SPA: Towards A Computational Friendly Cloud-Base and On-Devices Collaboration Seq2seq -- Personalized Generation with Causal Inference. -- Document-Level Relation Extraction Model Based On Boundary Distance Loss And Long-Tail Relation Enhancement. -- MCQG: Reading Comprehension Multiple Choice Questions Generation based on Pre-trained Language Models. -- ZeFaV: Boosting Large Language Models for Zero-shot Fact Verification. -- EC-PEFT: An Expertise-Centric Parameter-Efficient Fine-Tuning Framework for Large Language Models. -- Enhanced Classification of Delay Risk Sources in Road Construction Using Domain- Knowledge-Driven. -- Modeling the Structural and Semantic Features for Japanese Lyrics Generation of J-pop Songs. -- FINE-LMT: Fine-grained Feature Learning for Multi-Modal Machine Translation. -- Segmentation Strategies and Data Enrichment for Improved Abstractive Summarization of Burmese Language. -- Constrained Reasoning Chains for Enhancing Theory-of-Mind in Large Language Models. -- Spatial-Temporal Union Channel Enhancement for Continuous Sign Language Recognition. -- KLoB: a Benchmark for Assessing Knowledge Localization Methods in Language Models. -- Cross-lingual Entity Alignment Model based on Multi-entity Enhancement and Semantic Information. -- Large Language Models. -- A Decomposed-Distilled Sequential Framework for Text-to-Table Task with LLMs. -- Are Dense Retrieval Models Few-Shot Learners?. -- An Empirical Study of Leveraging PLMs and LLMs for Long-Text Summarization. -- A Novel MLLMs-based Two-stage Model for Zero-shot Multimodal Sentiment Analysis. -- DeepTTS: Enhanced Transformer-Based Text Spotter via Deep Interaction Between Detection and Recognition Tasks.
• Sommario/riassunto: The five-volume proceedings set LNAI 15281-15285, constitutes the ; refereed proceedings of the 21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024, held in Kyoto, Japan, in November 18–24, 2024. The 145 full papers and 35 short papers included in this book were carefully reviewed and selected from 543 submissions. The papers are organized in the following topical sections: Part I: Machine Learning, Deep Learning Part II: Deep Learning, Federated Learning, Generative AI, Natural Language Processing, Large Language Models, Part III: Large Language Models, Computer Vision Part IV: Computer Vision, Autonomous Driving, Agents and Multiagent Systems, Knowledge Graphs, Speech Processing, Optimization Part V: Optimization, General Applications, Medical Applications, Theoretical Foundations of AI.