Kevin Kam Fung So
Biographic Data
| ID | 4626064 |
|---|---|
| NAME | Kevin Kam Fung So |
| GIVEN NAMES | Kevin Kam Fung |
| FAMILY NAME | So |
| SIGNATURE | SO K K F |
| AFFILIATIONS | Oklahoma State University |
| ORCID | 0000-0002-4846-7481 |
| VERIFIED | Yes |
| TOTAL WORKS | 21 |
| TOTAL CITATIONS | 118 |
| AUTHOR COUNT | 21 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 6 |
Enhancing the Effectiveness of Generative AI Travel Recommendations: Balancing Source Credibility and Cognitive Load
Generative AI (GenAI) is revolutionizing the hospitality industry by offering recommendations via online travel agencies (OTA) to enhance customers’ decision-making. These suggestions’ perceived usefulness depends on both the content and how it is presented. We draw on cognitive load and source credibility theories in performing two studies to explore information structure and sources. We specifically examine how presentation formats (structured …
Exploring the attractiveness of digital human influencers in destination marketing: The allure of two-path meaning transfer
The estrangement experience in travel and tourism
Artificial Intelligence in Hospitality and Tourism: Insights From Industry Practices, Research Literature, and Expert Opinions
Given that artificial intelligence (AI) is significantly transforming businesses, it is crucial to examine how AI will change the future of the hospitality and tourism industry. By integrating multiple data sources (i.e., practitioner literature, research literature, and expert opinions), we suggest three trends constituting opportunities and challenges (AI applications in different business sectors, primary AI functions, emerging AI topics), thr…
Unpacking the complexity of cultural distance in inbound and outbound tourism: A case‐oriented approach
Due to limitations in mainstream symmetric methodologies, the linkages between cultural dimensions and tourism demand have yet to be fully understood. Drawing on Hofstede's theory of national culture and adopting the asymmetric and case‐oriented fuzzy‐set qualitative comparative analysis method, this investigation explored configuration models of cultural distance between 65 countries in relation to China's inbound and outbound tourism flows. Usi…
Perceived Authenticity and Place Attachment: New Findings from Chinese World Heritage Sites
Building on previous research that claims tourists’ perceived authenticity is an antecedent to place attachment, this study explored the relationship between the two theoretical constructs. Specifically, the mechanism between perceived authenticity, place attachment, and loyalty was empirically tested. The data were collected at Kaiping Diaolou and Villages, and the Old Town of Lijiang, two UNESCO heritage sites in southern China. Contrary to pre…
The Missing Link in Resident Support for Tourism Events: The Role of Tolerance
Social exchange theory, the key theoretical framework in examining resident support, has often been criticized as ambiguous and difficult to measure. Extensive research has investigated the nature of resident support for tourism events, yet the role of a key construct, tolerance, has been underexplored. Building on the extant literature, this study conceptualizes and tests the theoretical construct of tolerance as a missing link to better underst…
Two decades of customer experience research in hospitality and tourism: A bibliometric analysis and thematic content analysis
Travel for Affection: A Stimulus-Organism-Response Model of Honeymoon Tourism Experiences
Taking stimuli-organism-response theory as a conceptual framework, this study advances theoretical understanding of the honeymoon tourism experience (HTE) by examining its empirical linkages with key constructs underlying the wider nomological network within which it is situated, including perceived destination attributes (PDAs), memorable tourism experiences (MTEs), emotions, overall satisfaction, and behavioral intentions. We adopted a sequenti…
Service robots: Applying social exchange theory to better understand human–robot interactions
Post-pandemic and post-traumatic tourism behavior
Tourism experiences vs. material purchases: Effects of eudaimonic consumption motive on consumers’ reactions to invidious comparisons
Customer Engagement in Hospitality and Tourism Services
Consumer adoption of the Uber mobile application: Insights from diffusion of innovation theory and technology acceptance model
The sharing economy literature has largely concentrated on the examination of peer-to-peer accommodation platforms such as Airbnb, with little attention paid on other innovations in collaborative consumption. This study investigates consumer adoption of the Uber mobile application through lenses of two theoretical models – Diffusion of Innovation Theory and Technology Acceptance Model. The results suggest that relative advantage, compatibility, c…
Motivations and constraints of Airbnb consumers: Findings from a mixed-methods approach
The missing link in building customer brand identification: The role of brand attractiveness
The Role of Customer Engagement in Building Consumer Loyalty to Tourism Brands
Customer engagement has recently emerged in both academic literature and practitioner discussions as a brand loyalty predictor that may be superior to other traditional loyalty antecedents. However, empirical inquiry on customer engagement is relatively scarce. As tourism and hospitality firms have widely adopted customer engagement strategies for managing customer–brand relationships, further understanding of this concept is essential. Using str…
Residents’ Support for Tourism: Testing Alternative Structural Models
Social exchange theory (SET) has made significant contributions to research on residents’ support for tourism. Nevertheless, studies are based on an incomplete set of variables and are characterized by alternative, yet contradictory, and theoretically sound research propositions. Using key constructs of SET, this study develops a baseline model of residents’ support and compares it with four competing models. Each model contains the terms of the …
Responding to negative online reviews: The effects of hotel responses on customer inferences of trust and concern
Customer Engagement With Tourism Brands: Scale Development and Validation
Although customer engagement (CE) has emerged as a widely used term in many industries, including tourism and hospitality, academic research lacks a clear conceptualization and rigorous measurement of the construct. This study develops and validates a 25-item CE scale that comprises five factors: identification, enthusiasm, attention, absorption, and interaction. The scale, developed from a survey of hotel and airline customers, demonstrated stro…
Voluntary carbon offsetting: Who does it
Responding to negative online reviews: The effects of hotel responses on customer inferences of trust and concern
Motivations and constraints of Airbnb consumers: Findings from a mixed-methods approach
Service robots: Applying social exchange theory to better understand human–robot interactions
Post-pandemic and post-traumatic tourism behavior
Tourism experiences vs. material purchases: Effects of eudaimonic consumption motive on consumers’ reactions to invidious comparisons
The missing link in building customer brand identification: The role of brand attractiveness
Voluntary carbon offsetting: Who does it
Artificial Intelligence in Hospitality and Tourism: Insights From Industry Practices, Research Literature, and Expert Opinions
Given that artificial intelligence (AI) is significantly transforming businesses, it is crucial to examine how AI will change the future of the hospitality and tourism industry. By integrating multiple data sources (i.e., practitioner literature, research literature, and expert opinions), we suggest three trends constituting opportunities and challenges (AI applications in different business sectors, primary AI functions, emerging AI topics), thr…
Exploring the attractiveness of digital human influencers in destination marketing: The allure of two-path meaning transfer
Customer Engagement With Tourism Brands: Scale Development and Validation
Although customer engagement (CE) has emerged as a widely used term in many industries, including tourism and hospitality, academic research lacks a clear conceptualization and rigorous measurement of the construct. This study develops and validates a 25-item CE scale that comprises five factors: identification, enthusiasm, attention, absorption, and interaction. The scale, developed from a survey of hotel and airline customers, demonstrated stro…
Voluntary carbon offsetting: Who does it
Residents’ Support for Tourism: Testing Alternative Structural Models
Social exchange theory (SET) has made significant contributions to research on residents’ support for tourism. Nevertheless, studies are based on an incomplete set of variables and are characterized by alternative, yet contradictory, and theoretically sound research propositions. Using key constructs of SET, this study develops a baseline model of residents’ support and compares it with four competing models. Each model contains the terms of the …
Responding to negative online reviews: The effects of hotel responses on customer inferences of trust and concern
The Role of Customer Engagement in Building Consumer Loyalty to Tourism Brands
Customer engagement has recently emerged in both academic literature and practitioner discussions as a brand loyalty predictor that may be superior to other traditional loyalty antecedents. However, empirical inquiry on customer engagement is relatively scarce. As tourism and hospitality firms have widely adopted customer engagement strategies for managing customer–brand relationships, further understanding of this concept is essential. Using str…
The missing link in building customer brand identification: The role of brand attractiveness
Motivations and constraints of Airbnb consumers: Findings from a mixed-methods approach
Consumer adoption of the Uber mobile application: Insights from diffusion of innovation theory and technology acceptance model
The sharing economy literature has largely concentrated on the examination of peer-to-peer accommodation platforms such as Airbnb, with little attention paid on other innovations in collaborative consumption. This study investigates consumer adoption of the Uber mobile application through lenses of two theoretical models – Diffusion of Innovation Theory and Technology Acceptance Model. The results suggest that relative advantage, compatibility, c…
Customer Engagement in Hospitality and Tourism Services
Tourism experiences vs. material purchases: Effects of eudaimonic consumption motive on consumers’ reactions to invidious comparisons
Two decades of customer experience research in hospitality and tourism: A bibliometric analysis and thematic content analysis
Travel for Affection: A Stimulus-Organism-Response Model of Honeymoon Tourism Experiences
Taking stimuli-organism-response theory as a conceptual framework, this study advances theoretical understanding of the honeymoon tourism experience (HTE) by examining its empirical linkages with key constructs underlying the wider nomological network within which it is situated, including perceived destination attributes (PDAs), memorable tourism experiences (MTEs), emotions, overall satisfaction, and behavioral intentions. We adopted a sequenti…
Service robots: Applying social exchange theory to better understand human–robot interactions
Post-pandemic and post-traumatic tourism behavior
Perceived Authenticity and Place Attachment: New Findings from Chinese World Heritage Sites
Building on previous research that claims tourists’ perceived authenticity is an antecedent to place attachment, this study explored the relationship between the two theoretical constructs. Specifically, the mechanism between perceived authenticity, place attachment, and loyalty was empirically tested. The data were collected at Kaiping Diaolou and Villages, and the Old Town of Lijiang, two UNESCO heritage sites in southern China. Contrary to pre…
The Missing Link in Resident Support for Tourism Events: The Role of Tolerance
Social exchange theory, the key theoretical framework in examining resident support, has often been criticized as ambiguous and difficult to measure. Extensive research has investigated the nature of resident support for tourism events, yet the role of a key construct, tolerance, has been underexplored. Building on the extant literature, this study conceptualizes and tests the theoretical construct of tolerance as a missing link to better underst…
Unpacking the complexity of cultural distance in inbound and outbound tourism: A case‐oriented approach
Due to limitations in mainstream symmetric methodologies, the linkages between cultural dimensions and tourism demand have yet to be fully understood. Drawing on Hofstede's theory of national culture and adopting the asymmetric and case‐oriented fuzzy‐set qualitative comparative analysis method, this investigation explored configuration models of cultural distance between 65 countries in relation to China's inbound and outbound tourism flows. Usi…
Enhancing the Effectiveness of Generative AI Travel Recommendations: Balancing Source Credibility and Cognitive Load
Generative AI (GenAI) is revolutionizing the hospitality industry by offering recommendations via online travel agencies (OTA) to enhance customers’ decision-making. These suggestions’ perceived usefulness depends on both the content and how it is presented. We draw on cognitive load and source credibility theories in performing two studies to explore information structure and sources. We specifically examine how presentation formats (structured …
Exploring the attractiveness of digital human influencers in destination marketing: The allure of two-path meaning transfer
The estrangement experience in travel and tourism
Artificial Intelligence in Hospitality and Tourism: Insights From Industry Practices, Research Literature, and Expert Opinions
Given that artificial intelligence (AI) is significantly transforming businesses, it is crucial to examine how AI will change the future of the hospitality and tourism industry. By integrating multiple data sources (i.e., practitioner literature, research literature, and expert opinions), we suggest three trends constituting opportunities and challenges (AI applications in different business sectors, primary AI functions, emerging AI topics), thr…
Business (18 works) · Tourism (17 works) · Digital Marketing and Social Media (13 works) · Marketing (13 works) · Psychology (13 works) · Political science (11 works) · Social Psychology (11 works) · Computer Science (10 works) · Advertising (9 works) · Consumer Behavior in Brand Consumption and Identification (8 works)