Ranjit Singh – författare

Elgar Research Agendas outline the future of research in a given area. Leading scholars are given the space to explore their subject in provocative ways, and map out the potential directions of travel. They are relevant but also visionary.This innovative Research Agenda explores how the metaverse is reshaping the tourism and hospitality industry. Highlighting both the opportunities and challenges created, it outlines how tourism and hospitality professionals can integrate metaverse technologies into their operations and planning.Expert contributing authors analyze the key concepts and applications of the metaverse within tourism and hospitality, and trace rapidly shifting views on the technology. They showcase important areas of transformation, including the amplification of personalized experiences and the creation of new revenue streams. The Research Agenda also demonstrates how the metaverse can reshape business operations, from human resource management to destination marketing. Ultimately, it provides practical strategies and actionable insights, and identifies key avenues for future research.This Research Agenda is an essential read for students and scholars of tourism and hospitality management. It is also a valuable resource for tourism and hospitality professionals seeking to adapt to and use developing metaverse technologies.

Elgar Research Agendas outline the future of research in a given area. Leading scholars are given the space to explore their subject in provocative ways, and map out the potential directions of travel. They are relevant but also visionary.

This innovative Research Agenda explores how the metaverse is reshaping the tourism and hospitality industry. Highlighting both the opportunities and challenges created, it outlines how tourism and hospitality professionals can integrate metaverse technologies into their operations and planning.

Expert contributing authors analyze the key concepts and applications of the metaverse within tourism and hospitality, and trace rapidly shifting views on the technology. They showcase important areas of transformation, including the amplification of personalized experiences and the creation of new revenue streams. The Research Agenda also demonstrates how the metaverse can reshape business operations, from human resource management to destination marketing. Ultimately, it provides practical strategies and actionable insights, and identifies key avenues for future research.

This Research Agenda is an essential read for students and scholars of tourism and hospitality management. It is also a valuable resource for tourism and hospitality professionals seeking to adapt to and use developing metaverse technologies.

Elgar Research Agendas outline the future of research in each area. Leading scholars are given the space to explore their subject in provocative ways and map out the potential directions of travel. They are relevant but also visionary.This timely Research Agenda examines how Generative AI (GAI) is radically changing tourism and hospitality businesses and customer expectations. Expert contributors critically analyse the advantages and associated risks of using GAI across the industry and its impacts for consumers.Exploring key synergies between theory and practice, authors evaluate the way GAI is currently being used within tourism and hospitality. Outlining both opportunities and challenges, authors use a variety of international case studies to illustrate the adoption of GAI in businesses, from augmented tourist experience and engagement, to travel bias and destination diversity. Ultimately, chapters present practical strategies and actionable insights for the industry and highlight areas for further research.This Research Agenda is a valuable resource for students and scholars of tourism and hospitality studies. It is also beneficial for tourism and hospitality professionals, providing foundational knowledge for effective integration of GAI into operations and future planning.

Elgar Research Agendas outline the future of research in each area. Leading scholars are given the space to explore their subject in provocative ways and map out the potential directions of travel. They are relevant but also visionary.This timely Research Agenda examines how Generative AI (GAI) is radically changing tourism and hospitality businesses and customer expectations. Expert contributors critically analyse the advantages and associated risks of using GAI across the industry and its impacts for consumers.Exploring key synergies between theory and practice, authors evaluate the way GAI is currently being used within tourism and hospitality. Outlining both opportunities and challenges, authors use a variety of international case studies to illustrate the adoption of GAI in businesses, from augmented tourist experience and engagement, to travel bias and destination diversity. Ultimately, chapters present practical strategies and actionable insights for the industry and highlight areas for further research.This Research Agenda is a valuable resource for students and scholars of tourism and hospitality studies. It is also beneficial for tourism and hospitality professionals, providing foundational knowledge for effective integration of GAI into operations and future planning.

Elgar Research Agendas outline the future of research in each area. Leading scholars are given the space to explore their subject in provocative ways and map out the potential directions of travel. They are relevant but also visionary.This timely Research Agenda examines how Generative AI (GAI) is radically changing tourism and hospitality businesses and customer expectations. Expert contributors critically analyse the advantages and associated risks of using GAI across the industry and its impacts for consumers.Exploring key synergies between theory and practice, authors evaluate the way GAI is currently being used within tourism and hospitality. Outlining both opportunities and challenges, authors use a variety of international case studies to illustrate the adoption of GAI in businesses, from augmented tourist experience and engagement, to travel bias and destination diversity. Ultimately, chapters present practical strategies and actionable insights for the industry and highlight areas for further research.This Research Agenda is a valuable resource for students and scholars of tourism and hospitality studies. It is also beneficial for tourism and hospitality professionals, providing foundational knowledge for effective integration of GAI into operations and future planning.

Nimesh is walking home from school. Except…there happens to be a shark in the corridor. And a dragon in the library! And why would crossing the road lead to the North Pole? A fun-filled story about a little boy with a BIG imagination, Nimesh the Adventurer will surely make even the dullest journey a dazzling adventure.

Nimesh is walking home from school. Except…there happens to be a shark in the corridor. And a dragon in the library! And why would crossing the road lead to the North Pole? A fun-filled story about a little boy with a BIG imagination, Nimesh the Adventurer will surely make even the dullest journey a dazzling adventure.

Research Paper (postgraduate) from the year 2020 in the subject Engineering - Mechanical Engineering, grade: 5.0, , language: English, abstract: The ejector system design is one of the crucial activities of die-design for die-casting dies. It involves determination of the ejection area, area of ejecting pins, no. of ejector pins and at last placement of ejector pins. Traditionally, a die-casting engineer uses his knowledge and experience along with information like part design, no. of cavities, gating system and process parameters to determine ejection system parameters for a die-casting part. The part CAD model parameters are then used to model the ejection system for the die-casting part. Thereafter, the ejection system design for the die-casting part is tested using ejection simulations. The necessary modifications in the ejection system design are made till the desired results are obtained. This makes the process iterative and time-consuming. This paper presents an algorithm that would help in automatic design of the ejector system. The proposed algorithm is able to calculate the ejecting area, area of ejection pins, number of ejection pins and placement of ejection pins on the part. To demonstrate the capabilities of the proposed algorithm we have to determine the parameters the parameters of case study using the MATLAB 7.0. The result from the case study is quite encouraging and is in-line with the best industry practice.

Document from the year 2014 in the subject Mathematics - Applied Mathematics, grade: 13, , course: B.Tech, Semester-II, language: English, abstract: Its applied mathematics notes for B.Tech students of Second Semester of Indian Universities. Strictly according to the syllabus of P.T.U (Jalandhar)