Rajalakshmi Subramaniam – författare
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4 produkter
4 produkter
Inbunden, Engelska, 2021
573 kr
Skickas
Software organizations in South Asia have particular organizational cultures and hierarchies, where teamwork and creativity are essential. Investigating research methodologies and collected data from team leaders across these industries, Team Work Quality subjects them to statistical analysis in order to infer how team work quality contributes towards the enhancement of creativity with respect to software organizations.Team Work Quality, a very recent term being widely applied in software organizations across the world now, has been measured in this book using Weimar’s model of Team Work Quality. The relationship of five team characteristics namely, team size, team age, team ethnicity, team role and tenure of the team leader, on the relationship between ‘Team Work Quality’ and ‘Creativity is also explored in this book.Strategies are also offered to software organizations for improving their levels of organizational creativity, through enhancement of Team Work Quality thereby helping its readers in creating a better work environment.
Inbunden, Engelska, 2023
625 kr
Skickas inom 5-8 vardagar
Managing big data and data analytics poses unique challenges to many organisations. The effective use of such data is essential to planning business strategies and ensuring future corporate success. Organizations need to know how best to capitalise on the information that they have access to.Enabling Strategic Decision-Making in Organizations through Dataplex breaks down the role of data in strategic decision making, examining the organizational benefits but also utilising real-world examples of limitations and challenges and how these can be overcome. Dataplex allows for the central management of all data resources in the cloud, removing data silos while also maintaining ethical considerations and policies – the intellectual fabric of data provides a path to centrally monitor, manage and rule the data.The use of case studies, frameworks and applied models makes this text applicable to data practitioners, managers and strategic planners, as well as researchers focusing on problem solving at the organizational level.
Inbunden, Engelska, 2026
1 037 kr
Skickas inom 5-8 vardagar
Enhancing the Dining Experience through Augmented and Virtual Reality Technology: An Indian Perspective explores the transformative impact of immersive technologies on food and beverage service operations. With a focus on the Indian hospitality sector, this book examines how augmented reality (AR) and virtual reality (VR) are reshaping the dining experience by creating engaging, multisensory environments. It offers foundational knowledge in food and beverage service, departmental organization, and beverage management while contextualizing these elements within India’s diverse culinary landscape.By integrating advanced technologies into traditional hospitality practices, the book highlights innovative strategies for enhancing guest satisfaction and competitiveness in a post-pandemic world. Drawing on recent research and industry trends, it provides practical insights for hospitality professionals, educators, and students. Topics include the cultural significance of food in India, the structure of service operations, and the adoption of AR/VR to enrich customer engagement. This timely resource equips readers to navigate and contribute to the evolving hospitality industry with a forward-thinking, tech-enabled approach.
Inbunden, Engelska, 2024
625 kr
Skickas inom 5-8 vardagar
Big Data analytics and machine learning are being adopted in a range of industries – but how can these technologies be utilised and what can they offer to the tourism industry? In the process of their journeys and in their decision-making processes, people who travel contribute to the generation of a huge flow of data; all this information is a potential base for creating smart destinations and improving tourism organizations’ potential to customize their products and service offerings.The real execution of such inventive forms of data-driven value generation in tourism continues to be more restricted to the theory or used in a few exceptional cases. Big data and machine learning techniques in tourism persists as an unclear concept and a subject of investigation that necessitates closer analysis from an extensive range of field and research methods. Big Data Analytics for the Prediction of Tourist Preferences Worldwide tackles this challenge, exploring the benefits, importance and demonstrates how Big Data can be applied in predicting tourist preferences and delivering tourism services in a customer friendly manner.The authors provide theoretical and experiential contributions designed to see a wider adoption of these technologies in the tourism industry.