What is he best known for?
The fields of study he is best known for:
- Law
- World War II
- Social science
Philip L. Pearce mainly focuses on Tourism, Marketing, Social psychology, Advertising and Social science.
His studies deal with areas such as Context, Public relations, Consumer satisfaction, Experiential learning and Personal development as well as Tourism.
The Marketing study combines topics in areas such as Rural tourism, Conceptual framework, Conceptualization and Destinations.
His study in the field of Maslow's hierarchy of needs also crosses realms of Sketch.
His work deals with themes such as Narrative, Hospitality industry, Recreation, Set and Social media, which intersect with Advertising.
His work on Social psychology and Sociology of culture as part of general Social science study is frequently linked to Community participation, bridging the gap between disciplines.
His most cited work include:
- Developing the Travel Career Approach to Tourist Motivation (578 citations)
- The Social Psychology of Tourist Behaviour (517 citations)
- Perceived changes in holiday destinations (370 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Tourism, Marketing, Public relations, Advertising and Social psychology.
His study in Tourism is interdisciplinary in nature, drawing from both Context and Value.
His Marketing study combines topics in areas such as Government, Emic and etic, Hospitality management studies and Appeal.
The study incorporates disciplines such as Publishing, Project commissioning, Social science and Focus group in addition to Public relations.
His Advertising research includes themes of Entertainment, Recreation and China.
His work in Social psychology is not limited to one particular discipline; it also encompasses Aesthetics.
He most often published in these fields:
- Tourism (82.66%)
- Marketing (29.41%)
- Public relations (25.70%)
What were the highlights of his more recent work (between 2017-2021)?
- Tourism (82.66%)
- Public relations (25.70%)
- Destinations (10.22%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Tourism, Public relations, Destinations, Marketing and Value.
His Tourism research incorporates themes from Quality, Context, Aesthetics, Action and Empirical research.
Philip L. Pearce combines subjects such as Special Interest Group, Focus group, Recreation and Perception with his study of Public relations.
His research in Destinations intersects with topics in Advertising, Order, Religious tourism and Set.
Philip L. Pearce has included themes like Experiential learning and Personal development in his Marketing study.
His Value study combines topics from a wide range of disciplines, such as Benchmarking, Power and Media studies.
Between 2017 and 2021, his most popular works were:
- Media representation of digital-free tourism: A critical discourse analysis (36 citations)
- Entertaining international tourists: an empirical study of an iconic site in China (25 citations)
- Not losing our collective face: Social identity and Chinese tourists' reflections on uncivilised behaviour (19 citations)
In his most recent research, the most cited papers focused on:
- Law
- World War II
- Social science
Philip L. Pearce spends much of his time researching Tourism, Destinations, China, Religious tourism and Public relations.
His biological study spans a wide range of topics, including Stakeholder, Target audience, Value, Economy and Experiential learning.
His Destinations research focuses on Empirical research and how it relates to Entertainment, Advertising and Tourism planning.
His China research is multidisciplinary, relying on both Human geography, Gerontology, Social determinants of health, Tertiary sector of the economy and Mindset.
His research integrates issues of Social science, China mainland and Happiness in his study of Religious tourism.
His work carried out in the field of Public relations brings together such families of science as Context, Perception and Sustainable development.
This overview was generated by a machine learning system which analysed the scientist’s
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