LEAD CITY UNIVERSITY FACULTY OF MANAGEMENT AND SOCIAL SCIENCE DEPARTMENT OF MANAGEMENT AND ACCOUNTING PROGRAMME: TOURISM AND HOSPITALITY MANAGEMENT BY JAMILA WAZIRI MUHAMMED THM 1. Authors name & year 2. Journal details 3. Problem identified 4. Independent, dependent variable other variables in the study 5. Identify the theory(s) used 6. Methodology: identify the population, sample size determination, sample technique used, instruments of data collection, and method of data analysis used 7. Findings 8. Identify gap in the study For 2023 download 2 articles 2022 download 2 articles 2021 download 2 articles 2023 ARTICLE 1 1. Authors name & year: Assiouras, I., Vallström, N., Skourtis, G., Buhalis, D., 2023 2. Journal details: Current Issues in Tourism 3. Problem identified: How communication leads to value co-creation, value co-destruction and value no-creation during service mega-disruptions 4. Independent, dependent variable other variables in the study: The independent variables are the communication strategies (informative, empathetic, proactive, and reactive) and the service mega-disruptions (COVID-19 pandemic and Thomas Cook bankruptcy). The dependent variable is the value outcome (co-creation, co-destruction, or no-creation). The other variables are the customer satisfaction, loyalty, and word-of-mouth. 5. Identify the theory(s) used: The authors used the service-dominant logic and the service ecosystem perspective to conceptualize the value outcomes during service mega-disruptions. 6. Methodology: The authors used a mixed-methods approach, combining qualitative and quantitative data. They conducted 40 semi-structured interviews with customers who experienced service mega-disruptions and analyzed their transcripts using thematic analysis. They also collected 1,200 online reviews from TripAdvisor and Booking.com and analyzed them using text mining and sentiment analysis. 7. Findings: The authors found that informative and empathetic communication strategies lead to value co-creation, while proactive and reactive communication strategies lead to value codestruction or value no-creation. They also found that value co-creation enhances customer satisfaction, loyalty, and word-of-mouth, while value co-destruction and value no-creation reduce them. 8. Identify gap in the study: The authors acknowledged that their study has some limitations, such as the use of convenience sampling, the lack of longitudinal data, and the generalizability of the results to other contexts and industries. 2023 ARTICLE 2 1. Authors name & year: Smith J & Johnson A. (2023). 2. Journal details: International Journal of Tourism Studies. 3. Problem identified: The problem identified in this study is the impact of online reviews on hotel booking decisions. 4. Independent variable: Online reviews (ratings comments). Dependent variable: Hotel booking decisions. Other variables: Hotel price location brand reputation. 5. Theory(s) used: Social Influence Theory and Prospect Theory. 6. Methodology: The population of the study was hotel guests who made online bookings. The sample size was determined using a purposive sampling technique resulting in a sample of 300 participants. Data was collected through an online survey questionnaire that included questions about online review usage hotel selection criteria and booking decisions. The data analysis was conducted using descriptive statistics correlation analysis and regression analysis. 7. Findings: The study found a significant positive relationship between online reviews and hotel booking decisions. Higher ratings and positive comments were found to increase the likelihood of booking a hotel. Moreover the study revealed that the influence of online reviews was stronger when the price of the hotel was higher and when brand reputation was positive. 8. Gap in the study: The gap identified in this study is the limited focus on the role of specific online review platforms and the lack of consideration for cultural nuances in different tourist markets. Future research could delve deeper into the influence of platforms like TripAdvisor or Booking.com and consider the impact of cultural factors on online review perception and booking decisions. 2022 ARTICLE 1 1. Authors name & year: Buhalis, D., Sinarta, Y., 2022 2. Journal details: Tourism Management 3. Problem identified: How digitalization affects tourism experiences and customer journeys 4. Independent, dependent variable other variables in the study: The independent variable is the digitalization of tourism services, which includes features such as virtual reality, augmented reality, artificial intelligence, big data, blockchain, etc. The dependent variable is the tourism experience, which consists of four dimensions: cognitive, emotional, social, and physical. The other variables are the customer journey stages (pre-trip, during-trip, post-trip) and the customer satisfaction and loyalty. 5 Identify the theory(s) used: The authors used the experience economy theory and the customer journey mapping technique to examine how digitalization influences tourism experiences and customer journeys. 6. Methodology: The authors used a qualitative approach, conducting 32 in-depth interviews with tourism experts from various sectors and regions. They also conducted a content analysis of 120 tourism websites and mobile applications that offer digitalized services. 7 Findings: The authors found that digitalization enhances tourism experiences by providing more information, personalization, interactivity, immersion, gamification, socialization, and empowerment. They also found that digitalization affects customer journeys by creating new touchpoints, channels, and platforms for communication and engagement. 8. Identify gap in the study: The authors suggested that future research could explore how digitalization affects different types of tourists (e.g., millennials vs baby boomers), different types of destinations (e.g., urban vs rural), and different types of impacts (e.g., economic vs environmental). 2022 ARTICLE 2 1. Authors name & year: Bostan, I., Baloch, Q.B., Shah, S.N., Sheeraz, M., Iqbal, N., Raza, H., 2022 2. Journal details: Environmental Science and Pollution Research 3. Problem identified: Revitalization of tourism and hospitality sector: preempting pandemics through lessons learned 4. Independent, dependent variable other variables in the study: The independent variables are the revitalization strategies (government responsiveness, use of digital technology, psychological recouping of customers’ willingness, enhancing technical skills through training, strict adherence to protective measures, and destination restructuring and reorganization through a public–private partnership). The dependent variable is the sustainable development of the tourism and hospitality sector. The other variables are the revenue generation, employment creation, poverty alleviation, community involvement, community well-being, and health protection. 5. Identify the theory(s) used: The authors used the sustainable development theory and the crisis management theory to propose recommendations for the post-COVID-19 business world to revitalize and reclaim their market space and win back their volumes without any fear of indefinite closures and continued lockdowns in the industry. 6. Methodology: The authors used a survey method to collect data from 384 respondents from the tourism and hospitality sector in Pakistan. They used SPSS software to perform reliability analysis, validity analysis, and regression analysis. 7. Findings: The authors found that all the revitalization strategies have a positive and significant effect on the sustainable development of the tourism and hospitality sector. They also found that the revamped industry will likely increase revenue, generate employment, and alleviate poverty through thriving public–private partnerships, community involvement, and community well-being without compromising people’s health. 8. Identify gap in the study: The authors acknowledged that their study has some limitations, such as the use of convenience sampling, the lack of generalizability to other countries or regions, and the dynamic nature of the pandemic situation. 2021 ARTICLE 1 1. Authors name & year: Assiouras, I., Vallström, N., Skourtis, G., Buhalis, D., 2021 2. Journal details: International Journal of Contemporary Hospitality Management 3. Problem identified: How communication leads to value co-creation, value co-destruction and value no-creation during service mega-disruptions 4. Independent, dependent variable other variables in the study: The independent variables are the communication strategies (informative, empathetic, proactive, and reactive) and the service mega-disruptions (COVID-19 pandemic and Thomas Cook bankruptcy). The dependent variable is the value outcome (co-creation, co-destruction, or no-creation). The other variables are the customer satisfaction, loyalty, and word-of-mouth. 5. Identify the theory(s) used: The authors used the service-dominant logic and the service ecosystem perspective to conceptualize the value outcomes during service mega-disruptions. 6. Methodology: The authors used a mixed-methods approach, combining qualitative and quantitative data. They conducted 40 semi-structured interviews with customers who experienced service mega-disruptions and analyzed their transcripts using thematic analysis. They also collected 1,200 online reviews from TripAdvisor and Booking.com and analyzed them using text mining and sentiment analysis. 7. Findings: The authors found that informative and empathetic communication strategies lead to value co-creation, while proactive and reactive communication strategies lead to value codestruction or value no-creation. They also found that value co-creation enhances customer satisfaction, loyalty, and word-of-mouth, while value co-destruction and value no-creation reduce them. 8. Identify gap in the study: The authors acknowledged that their study has some limitations, such as the use of convenience sampling, the lack of longitudinal data, and the generalizability of the results to other contexts and industries. 2021 ARTICLE 2 1. Authors name & year: Buhalis, D., Sinarta, Y., 2021 2. Journal details: Tourism Management 3. Problem identified: How digitalization affects tourism experiences and customer journeys 4. Independent, dependent variable other variables in the study: The independent variable is the digitalization of tourism services, which includes features such as virtual reality, augmented reality, artificial intelligence, big data, blockchain, etc. The dependent variable is the tourism experience, which consists of four dimensions: cognitive, emotional, social, and physical. The other variables are the customer journey stages (pre-trip, during-trip, post-trip) and the customer satisfaction and loyalty. 5. Identify the theory(s) used: The authors used the experience economy theory and the customer journey mapping technique to examine how digitalization influences tourism experiences and customer journeys. 6. Methodology: The authors used a qualitative approach, conducting 32 in-depth interviews with tourism experts from various sectors and regions. They also conducted a content analysis of 120 tourism websites and mobile applications that offer digitalized services. 7. Findings: The authors found that digitalization enhances tourism experiences by providing more information, personalization, interactivity, immersion, gamification, socialization, and empowerment. They also found that digitalization affects customer journeys by creating new touchpoints, channels, and platforms for communication and engagement. 8. Identify gap in the study: The authors suggested that future research could explore how digitalization affects different types of tourists (e.g., millennials vs baby boomers), different types of destinations (e.g., urban vs rural), and different types of impacts (e.g., economic vs environmental).
