Keywords
Responsible Tourism Behavior, measurement instruments, Generation Y Tourists
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This quantitative study aimed to develop and evaluate instruments to measure responsible tourism behavior with high academic standards.
Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were employed to test the model’s fit with the empirical data. The sample consists of 550 Generation Y tourists selected through multistage quota random sampling. The instruments were created by the researchers to consist of 45 items, each rated on a 6-point scale.
The analysis results supported all three hypotheses, with the instruments showing an average reliability of .812. The EFA results indicated that 12 items met the criteria, derived from three main components: environmental (four items), social and cultural (four items), and economic (four items). These components explain 62.118% of the variance in responsible tourism behavior. The Confirmatory Factor Analysis results show that the model fits the empirical data well, with indices meeting the standard criteria: χ2 = 52.790, df = 45, p-value = .198, RMSEA = .034, CFI = .979, TLI = .969, SRMA = .054.
In conclusion, the researchers suggest using responsible tourism behavior measurement instruments experimentally to create social indices or to further study causal factors and effects.
Responsible Tourism Behavior, measurement instruments, Generation Y Tourists
In the context of global attention towards sustainable development, driven by awareness of the impacts of development on the dynamic and changing environmental, economic, social, political, technological, and value systems, there is a growing interest in the environment and community context. This shift has changed tourism patterns to incorporate diverse dimensions that cater to tourists’ increasingly complex needs. One of the emerging forms of tourism is responsible tourism, which involves conducting tourism activities with care, considering the environment and community context, and involving tourism providers who use business processes to enhance community well-being and environmental protection. This includes tourism service providers who use their business processes to improve community well-being and environmental protection, which can be done by business organizations themselves or in collaboration with partners (Kotler & Lee, 2005). The approach aligns with several Sustainable Development Goals (SDGs), including Goals 1, 4, 5, and especially Goal 12, which ensure sustainable consumption and production patterns (Assaker, 2024). Responsible tourism promotes knowledge for maintaining tourist areas, connecting tourism spots with a balanced economy, and supporting the local economy by encouraging local entrepreneurs, supply chains, and sustainable investments that reflect the natural and cultural uniqueness of the area. This may include food and beverages, crafts, performances, and agricultural products (Hagsten & Thomas, 2024). Responsible tourism is a fundamental approach for creating a mindset of awareness among both tourists and hosts, leading to its integration with the BCG Economy Model, which aims to enhance the value of the country’s tourism in terms of biodiversity and cultural diversity through technology and innovation. This shifts the economic system from “doing more but gaining less” to “doing less but gaining more”. This type of responsible tourism contributes to sustainable development in three areas: economic development to improve the local economy and enhance the quality of life in the community; social development to strengthen social relationships, culture, traditions, and lifestyles to prevent adverse changes; and natural and environmental resource development to manage tourism activities to avoid adverse impacts on community natural resources and the environment through fair and necessary allocation and utilization (Leslie & Gelman, 2012). This has made tourism an interest for the new generations of tourists who want to seek new travel experiences and value local values.
Generation Y tourists, born between 1980-2000, make up 40.79% of the tourism market. They emphasize sustainable development, self-confidence, and independence (Bayram & Cesaret, 2021). This group prefers to plan their own trips, adapt their travel plans as needed, and seek unique experiences in new destinations, cultures, food, and activities (Prasongthan & Silpsrikul, 2023). Generation Y tourists are also inclined towards responsible tourism, showing environmental and social responsibility, avoiding activities that harm the environment and local identity, and maximizing the economic benefits for the local community. Research on Generation Y tourists’ behavior and responsible tourism is crucial for understanding and meeting their needs, as they are the fastest-growing and high-spending group (Khoo-Lattimore et al., 2018). According to the WYSE Travel Confederation and United Nations World Tourism Organization (UNWTO), in 2014, the global market for young tourists was valued at $286 billion and was expected to reach $400 billion by 2020 with 370 million young tourists (UNWTO et al., 2016). This makes it interesting to study this group in terms of motivation and travel behavior.
Previous research on Generation Y tourists’ behavior has often lacked comprehensive academic coverage, making it difficult to use the findings for policy-making or project development. This study aims to develop reliable and valid instruments to measure responsible tourism behavior among Generation Y tourists. It involves creating and developing instruments through Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and assessment of validity and measurement invariance to ensure that the newly developed instruments meet stringent academic standards. These instruments can be used for comparative behavioral and tourism research, benefiting community development and economic enhancement and leading to sustainable future growth.
The World Tourism Organization (2007) has discussed the roles and activities of alternative tourism. This type of tourism emphasizes social responsibility and environmental awareness, leading to the term Responsible Tourism (RT), which has replaced alternative tourism. RT is defined as “all forms of tourism that prioritize the host’s nature, cultural environment, and the benefits of all involved parties” (Ferguson, 2007). This aligns with Liu (2003), who defines responsible tourism as the type and quality of products tourists seek. Tourists gain more experience and prioritize quality tourism. Responsible tourism is linked to concepts such as fair-trade tourism, green tourism, ecotourism, and alternative tourism. Responsible tourism aims to minimize the impact and maximize benefits to the area, involving key stakeholders such as developers, tourism business operators, tourists, and environmentalists, each with different responsibilities (Xin & Chan, 2014). Responsible tourism has become a popular practice. Although it is very similar to sustainable tourism, “responsible tourism” has become the most popular term in the industry. Tour operators tend to use “responsible tourism” almost five times more than other terms (Caruana, Glozer, Crane, & McCabe, 2014) because its main goal is to make everyone responsible, aware of sustainability, and work together to minimize environmental and community impacts. Studies have shown that most research on responsible tourism issues is considered from the perspective of tourists. For example, Spenceley et al. (2002) found that 66% of tourism operators believe that responsible tourism positively affects local communities. Frey and George (2010) studied responsible tourism management from the perspective of tourism business owners. The study found that, although operators have a positive attitude towards responsible tourism, business operations still need to consider profit costs, making it difficult for operators to focus solely on social or community operations. Other factors, such as cost, competitive environment, and government support, are essential for sustainable responsible tourism. Although responsible tourism is not as widely known in Thailand as mainstream tourism, the country has abundant tourism resources that meet the needs of mainstream tourists. However, these resources are often wastefully used to support a country’s economic development. In 2019, Thailand ranked 31st out of 140 countries in terms of travel and tourism competitiveness, 9th in Asia, and 3rd in ASEAN, behind Singapore and Malaysia. The country has abundant natural resources, infrastructure readiness for tourists, air infrastructure, human resources, and competitive pricing. However, Thailand lags significantly in environmental sustainability, ranking 130th, and in security and safety, ranking 111th (Miró-Pérez, 2020). This indicates that the country’s tourism development lacks balance between economic success and the environment. In addition, past Thai tourism development and promotion policies have mainly focused on the number of tourists and tourism revenue, with little consideration for tourist quality. Spenceley (2008) suggests that broader consumer market trends impact ethical business operations and spread to tourism. The emphasis on the environment alongside the economy is something that tourists are beginning to consider. The Cape Town Declaration outlines six characteristics of responsible tourism: 1) minimizing impacts, 2) creating economic benefits for host communities, 3) involvement of local people, 4) conservation of natural and cultural heritage, 5) creating meaningful connections between tourists and locals, and 6) ensuring accessibility and consideration of traditional cultures (Mihalic, 2016). Crans (2010) adds that responsible tourism improves local people’s economic benefits by connecting them with tourists and involving them in natural and cultural heritage management. Stanford (2009) proposed three key points on responsible tourism: 1) it includes all forms of alternative and mass tourism; 2) it encompasses four philosophical aspects to promote and enhance local communities, culture, environment, economy, and reduce negative impacts; and 3) it benefits all involved. This agrees with Goodwin (2011), who stated that responsible tourism aims to change mainstream tourism to make it more sustainable, not only for tourism planners and managers but also for everyone involved, from residents to the government and business operators.
The literature review on responsible tourism highlights its relevance to all three components of sustainable tourism: 1) Environmental Responsibility, 2) Social and Cultural Responsibility, and 3) Economic Responsibility (Kim et al., 2018; Xin & Chan, 2014). The scope of these responsibilities can be explained as follows:
Environmental Responsibility involves the sustainable use of natural resources, reducing waste and excessive consumption, promoting and raising awareness of natural diversity, and setting appropriate tourism levels according to an area’s capacity. All stakeholders, including locals, landowners, business owners, government, private sector, and tourists, must understand and follow the best environmental practices. This responsibility includes behaviors such as consuming only what is needed, disposing of waste in designated areas, planning tourism to avoid pollution, minimizing multiple travel steps, and not disposing excess baggage or waste in tourist areas, such as food containers. It also involves legislation to protect the environment, with clear penalties.
Social and Cultural Responsibility entails local involvement in planning and decision-making at the tourism development level, which is a key aspect of responsible tourism. It includes monitoring social impacts and promoting tourism that enhances the health and education of local communities, linking tourism to other sectors, such as politics, environment, economy, and society. This responsibility includes the behavior of business owners operating with integrity, not exploiting tourists, and considering the uniqueness and cultural context of tourist sites. Visitors must respect cultural differences and diversity by researching destinations before traveling and understanding local traditions, food practices, and religions.
Economic Responsibility means that tourism development should assess economic benefits and decide which tourism forms best develop the economy, choosing those that benefit the local population. It involves training and fair business practices, supporting small and medium-sized enterprises for grassroots development. This responsibility includes supporting community strength, promoting local identity for grassroots economic development, and encouraging locals to own products or services, rather than outside investors.
Responsible tourism is also reflected in SDG 12, Responsible Consumption and Production (Rodríguez-Díaz & Pulido-Fernández, 2019). Developing and implementing responsible tourism to achieve a tangible sustainability balance requires instruments to monitor sustainable development impacts, such as policies to reduce plastic use, clean energy policies, create jobs, and promote local culture and products. Over the past decade, RT has been a core concept for tourism operators in Southeast Asia (Cambodia, Malaysia, Thailand, and Indonesia) as a strategy for responsible business planning and management (Mondal & Samaddar, 2021), such as community-valued tourism and environmentally considerate business planning. However, responsible tourism remains an activity and instrument for those responsible, including tourists, business operators, and government agencies that design policies and oversee regulations. It can raise awareness among stakeholders in the tourism system to consider the natural, community, and cultural capacities during travel and design tourism activities aimed at protecting, conserving, and developing these aspects for future generations. Thus, designing tourism activities based on informal education is crucial for raising awareness among tourism system stakeholders, including tourists, locals, business operators, and tourism-related agencies. Mathew and Sreejesh (2017) studied community understanding of responsible tourism and analyzed the mediating role of perceived destination sustainability. A survey of 432 residents from three Indian tourist destinations found that local residents’ perceptions of responsible tourism significantly influenced their perceived destination sustainability, affecting their perceived quality of life. The findings of this study are significant for successful tourism business management, and the sustainability and well-being of local communities.
For biosocial background characteristics, this involves asking basic information about Generation Y tourists, including gender, age, educational level, occupation, income, travel frequency, and understanding of responsible tourism.
The literature review on responsible tourism behavior and factor analysis can be summarized in the research framework as follows ( Figure 1).
1. Exploratory Factor Analysis (EFA) can evaluate the instruments used to measure responsible tourism behavior with at least three items per factor. The Kaiser-Meyer-Olkin measure of sampling adequacy should not be less than .600 (Trujillo-Ortiz et al., 2006), and the Factor Loading should not be less than .400 (Fabrigar & Wegener, 2011).
2. Exploratory Factor Analysis (EFA) (https://www.ibm.com/spss) can explain more than 60% of the variance in responsible tourism behavior (Tucker & MacCallum, 1997; Fabrigar & Wegener, 2011).
3. Confirmatory Factor Analysis (CFA) (https://www.ibm.com/spss) demonstrates that the model fits well with the empirical data, and the model fit indices meet academic standards (Harrington, 2009).
This quantitative research employs both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) techniques to develop and evaluate high-standard instruments to measure responsible tourism behavior and to test the model’s alignment with empirical data. This research project was approved by the Ethics Committee of the University of the Thai Chamber of Commerce (certificate number Expedited 007/2024) on 26th March, 2024. Study commenced on April 2, 2024.
The sample consisted of Generation Y tourists, calculated using the G*Power3.1.9.2 program software (https://gpower.software.informer.com/3.1/), which determined a suitable sample size of at least 500 participants (Kang, 2021). To account for incomplete responses, an additional 10% was added to the sample size. The researchers used multi-stage quota random sampling to ensure a comprehensive and systematic representation of a large sample (Burger & Silima, 2006) as follows: 1) Regions in Thailand were divided into North, Northeast, West, Central, East, South, 2. Sex, consisting of males and females; 3. Age consisted of tourists born in 1980-1989 and tourists born–1990-1999 with a total sample size of 550 participants.
In this study, data were collected from 562 Generation Y tourists, with 550 completed and usable questionnaires. The preliminary characteristics of the sample include: 52.70% female, average age of 33 years and 9 months, with a standard deviation of 5.17, 56.40% holding a bachelor’s degree, 54.40% traveling between provinces more than 12 times per year, and 46.50% understanding the importance and meaning of responsible tourism behavior only partially.
The measurement instruments used in this research were a 45-item scale developed by the researchers based on theoretical concepts of responsible tourism in three main components: 1) Environmental Component for 15 items, 2) Social and Cultural Component for 15 items, and 3) Economic Component for 15 items. In addition, each main component includes sub-components, such as community participation (five items), opportunities for tourist involvement (five items), and promotion of sustainable development (five items). Each item is rated on a 6-point scale from “Most True” to “Not True at All” (Alhassan et al., 2022), with scores ranging from 45 to 270. The average reliability of the scale is.812 (Sainani, 2017). All items were evaluated for quality, including content validity and index-objective congruence, by a panel of five experts in tourism and behavioral sciences. Item discrimination was assessed using an Independent Sample t-test (Sedgwick, 2010), and item-total correlations were analyzed (Sedgwick, 2012). Exploratory Factor Analysis was conducted (Fabrigar & Wegener, 2011) using Principal Component Analysis (PCA) and Varimax Orthogonal Rotation (Jackson, 2005), followed by Confirmatory Factor Analysis for model validation (Harrington, 2009).
Two types of statistical analyses were used. The first is Question Item Quality Analysis, which includes 1) an independent-sample t-test (Sedgwick, 2010), and Pearson’s Correlation Coefficient Analysis (Sedgwick, 2012), 2) Exploratory Factor Analysis (Fabrigar & Wegener, 2011), 3) confirmatory factor analysis (Harrington, 2009). The second is Inferential Statistics, including Path Analysis using a Linear Structural Relationship Model (Lavee, 1988).
Preliminary quality assessment of the responsible tourism behavior measurement ( Table 1) revealed that out of the initial 45 items, 12 met the criteria with t ≥ 3.0 (Sedgwick, 2010) and r ≥ .30 (Sedgwick, 2012). These 12 items were distributed equally across the three main components: Environmental Component (E) for four items, Social and Cultural Component (S) for four items, and Economic Component (EC) for four items.
The results of Exploratory Factor Analysis using Principal Component Analysis (PCA) with Varimax Orthogonal Rotation (Jackson, 2005) indicated that there were 12 items with Factor Loadings of at least.400 and Eigenvalues greater than 1. The Factor Loadings ranged from .484 to .855, and communalities ranged from.471 to.761. All weights were statistically significant at a.05 level. The sub-components identified are ( Table 2): 1) Environmental Component (E) for four items with an eigenvalue of 4.222, explaining 35.180% of the variance in responsible tourism behavior, 2) Social and Cultural Component (S) for four items with an eigenvalue of 2.034, explaining an additional 16.950% of the variance, bringing the total explained variance to 52.130%, and 3) Economic Component (EC) for four items with an eigenvalue of 1.199, explaining an additional 9.988% of the variance, bringing the total explained variance to 62.118%. This supports Hypothesis two stating that EFA can explain more than 60% of the variance in responsible tourism behavior (Tucker & MacCallum, 1997; Fabrigar & Wegener, 2011).
The results of the Kasier-Meyer-Olkin (KMO) Measure of Sampling Adequacy test showed a value of .824, which exceeded the standard threshold of .600. The Bartlett’s test of sphericity was 1244.364, indicating that the 12 standardized questions had a high level of correlation (Trujillo-Ortiz et al., 2006; Fabrigar & Wegener, 2011). In addition, the overall results of the questions show that all 12 questions that met the criteria supported Hypothesis 1, which states that there should be at least three questions for each component. In this research, four questions were developed for each component.
The results of the Confirmatory Factor Analysis for the Responsible Tourism Behavior Measurement indicated that the model fits the empirical data, supporting Hypothesis 3. These indices are consistent with the standard criteria (Harrington, 2009) ( Table 3 and Figure 2).
These research findings support all three hypotheses by successfully developing and evaluating the quality of instruments to measure responsible tourism behavior among Generation Y tourists through Exploratory Factor Analysis (Fabrigar & Wegener, 2011). The analysis identified 12 valid items across the three main components:
1) There are four items, E10, E2, E12, and E13, with high Factor Loadings of .797, .768, .753, .730, respectively. These findings show that E12 and E13 pertain to the subcomponent of promoting sustainable development, E10 relates to engaging tourists, and E2 involves community participation. The instruments used to measure responsible tourism behavior within the environmental component effectively cover all three subcomponents. With a predictive coefficient (R2 = 0.942), it ranked first. The findings suggest that the environmental component explains 52.13% of the variance in responsible tourism behavior, indicating that most tourists have a strong understanding of environmental aspects that are likely linked to sustainable tourism concepts. These data suggest that most tourists’ awareness and understanding of responsible tourism are primarily focused on environmental aspects that are potentially linked to the concept of sustainable tourism. Therefore, the environmental component should be used as a bridge to enhance Generation Y tourists’ knowledge of and understanding of responsible tourism. In addition, it is important to clarify the similarities between sustainable development, which focuses on maximizing resource use, and responsible tourism, which emphasizes accountability to places and communities and minimizes the negative impacts of changes. To achieve this, strategies may include creating engaging content and involving tourists in participatory roles or discussions. Furthermore, promoting responsible tourism among family groups or close acquaintances can serve as a catalyst, encouraging other groups to adopt more responsible tourism behaviors.
2) Social and Cultural Component for 4 items: S8, S11 with high Factor Loadings of .817, .751, And S7, S2 have high Factor Loadings of .817 and .751, while S7 and S2 have moderate factor loadings of.695 and .485. Considering the initial measurement, S8 and S7 belonged to the sub-component of tourist engagement. S11 is related to the promotion of sustainable development, and S2 pertains to community participation. The instruments used to measure responsible tourism behavior in the social and cultural components also cover all three subcomponents. With a predictive coefficient (R2 = 0.624), it ranked second.
3) There are four items within the economic component: EC1, EC4, and EC2, with high Factor Loadings of .855, .753, and .721, respectively. Considering the initial creation of measurement EC1, EC4, EC2 are mainly related to the sub-component of community participation, reflecting tourists’ understanding of local economic aspects tied to community involvement. This includes tourists feeling satisfied if the amount of money spent can be used to develop the local area in a tangible manner. Such an approach should be used to develop responsible tourism in terms of increasing the quality of products and services, promoting more employment from local people, with empirical evidence such as writing messages, making summaries in various places so that tourists can access information, and also make them feel that the expenses spent are truly used to develop the community. EC12 is a sub-component that promotes sustainable development. The predictive coefficient (R2 = 0.234) ranked third. This research aligns with previous studies such as Xin and Chan (2014) and Kim et al. (2018), who examined responsible tourism behavior indicators and predictions. Kim et al. (2018)
It suggests promoting self-reliant local enterprises using grassroots economics, supported by government intervention in financial education, and securing financial systems, such as savings and small community enterprises. From Phongkraphan et al. (2024), who studied the cost of tourism management, it was found that the establishment of medium and small enterprises contributes to the development of the community economy.
Overall, the instruments used to measure responsible tourism behavior explain 62.118% of the variance in responsible tourism behavior, with an average reliability coefficient of.812 (Tucker & MacCallum, 1997; Fabrigar & Wegener, 2011), indicating high accuracy. Confirmatory Factor Analysis (CFA) results further show that the model fits well with empirical data and meets established criteria (Harrington, 2009).
1. Given the Kaiser-Meyer-Olkin measure of sampling adequacy of.824, exceeding the .600 threshold, and a chi-square value of 1244.364, indicating high inter-item correlation (Trujillo-Ortiz et al., 2006; Fabrigar & Wegener, 2011), the questionnaire items can be further developed for other groups, such as elderly tourists, working adults, and family tourists. This would help to create standardized and reliable measurement instruments, leading to more accurate and precise findings that align with the interests of different tourist segments and inform marketing strategies and communication efforts.
2. The measurement instruments can be adapted for future research to identify the causal predictors of the components. It can also be used to explore relationships and prediction quantities in different contexts, such as the Path Analysis of tourism behavior.
3. Efforts should be made to develop responsible tourism behavior measurement tools for other sample groups, using the dimensions or components identified in this study as a foundation. This can lead to the creation of social indices relevant to these groups, or experimental use to further validate the instruments.
The study has been approved by the Human Research Ethics Committee, University of the Thai Chamber of Commerce on 26 March 2024, and the approval number is UTCCEC/Expedited007/2024. The research was adhered to ethical standards throughout its execution. A written informed consent was obtained from all participants, ensuring they were fully aware of the study’s objectives, methodologies, and their right to withdraw at any time without consequence. Participant confidentiality was strictly maintained, with all data anonymized to prevent identification.
Underlying Data. figshare. Dataset. https://doi.org/10.6084/m9.figshare.27325431.v1.
This project contains the following file:
Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).
figshare. Dataset. https://doi.org/10.6084/m9.figshare.27325431.v1
Questionnaire
Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).
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Is the work clearly and accurately presented and does it cite the current literature?
Partly
Is the study design appropriate and is the work technically sound?
Partly
Are sufficient details of methods and analysis provided to allow replication by others?
No
If applicable, is the statistical analysis and its interpretation appropriate?
Partly
Are all the source data underlying the results available to ensure full reproducibility?
Partly
Are the conclusions drawn adequately supported by the results?
Partly
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Cultural tourism, health tourism, wellness, wellbeing, urban tourism
Is the work clearly and accurately presented and does it cite the current literature?
No
Is the study design appropriate and is the work technically sound?
Partly
Are sufficient details of methods and analysis provided to allow replication by others?
Partly
If applicable, is the statistical analysis and its interpretation appropriate?
Yes
Are all the source data underlying the results available to ensure full reproducibility?
Partly
Are the conclusions drawn adequately supported by the results?
No
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Regional Economics; Regional Planning; Tourism Economics; Heritage Tourism; Regional Development.
Alongside their report, reviewers assign a status to the article:
Invited Reviewers | ||
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Version 1 02 Jan 25 |
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