Structured Component Analysis Research Articles

ANALYSIS OF MULTILEVEL STRUCTURAL EQUATION MODELING WITH GENERALIZED STRUCTURED COMPONENT ANALYSIS METHOD

Generalized Structured Component Analysis (GSCA) is a component-based SEM. One of the developments of GSCA is the GSCA method for multilevel data known as multilevel GSCA. Multilevel data is data that has a nested, grouped, or nested structure. This study aims to apply multilevel GSCA to the data on factors that affect poverty. The data used is on Indonesia's health, education and poverty in 2023.. The result is that all indicators are significant to the latent variables. The structural model shows that the quality of health has a negative and significant effect on poverty, education has a negative and significant effect on poverty, and the quality of health has a positive and significant effect on education. The results of between group show that health quality has a positive and significant effect on education in all regions, health quality has a negative and significant effect on poverty in Bali & Nusa Tenggara, Sulawesi, as well as Maluku and Papua, education has a negative and significant effect on poverty in Sumatra, Java, and Maluku & Papua. The overall goodness of fit value (FIT) is 0.622, meaning the model can explain 62.2% of data variation.

Are we too connected to social media? An explanatory research the problematic social media use in self-esteem, phubbing and procrastinating behaviour

ABSTRACT Indonesia is in the first position in the category of users with the highest screen time duration, which triggers problematic social media use (PSMU). Previous research has consistently proven PSMU to be related to dysfunctional behavior and harmful daily life activities, which affects academic. Therefore, this research aimed to measure the PSMU procrastination level of youths, phubbing behavior, and self-esteem. Generalized Structured Component Analysis (GSCA) was used to identify the structural relationships relevant to a multivariate dataset of 770 cross-sectional convenient samples aged 17 to 30 collected through an online questionnaire. The result obtained four hypotheses with a significant positive effect, and two negative impacts. This showed that PSMU will cause procrastination, including worse academic performance on mental and physical health. In addition, the higher the PSMU, the greater the possibility of phubbing in relation to friendship quality, and weakening communication within the family. An increase in PSMU tends to affect self-esteem leading to inferiority due to constant comparison of achievements with other social media users.

Lucerne's crossroads: residents’ perspectives on tourism development and the imperative for regulatory oversight

ABSTRACT This study examines how Lucerne residents perceive the impact of tourism across economic, socio-cultural, urban environment, and behavioural dimensions, focusing on its effect on their perceived quality of life and the perceived significance of tourism to the city. The study investigates three types of regulatory controls (i.e. distribution and flow, tourist characteristics, and marketing communication) imposed on the destination as mediators of these desirable outcomes. By analysing data from 1,530 residents using Integrated Generalised Structured Component Analysis (IGSCA) and Necessary Condition Analysis (NCA), the findings reveal that while economic benefits to local businesses reduce the need for restricting tourist markets, economic drawbacks for individuals, such as higher living costs, lead to calls for stricter tourist controls. Additionally, the study suggests that the cultural aspect of the socio-cultural dimension is a necessary condition for tourists to perceive that tourism enhances the quality of life, whereas the social aspect is not. The research highlights the crucial role of regulatory controls in enhancing residents’ quality of life and the perceived significance of tourism, thereby supporting sustainable tourism practices at the urban destination. Limitations and potential future research are also addressed.

Supply Chain Environmental Uncertainty, Competitive Advantage, and Operational Performance in Manufacturing Industry

Goal: This study investigates the impact of Supply Chain Environmental Uncertainty (SCEU) on competitive advantage and operational performance in manufacturing companies. The mediating role of competitive advantage and the moderating role of supply chain environmental uncertainty in the relationship between competitive advantage and operational performance were examined. Design/ Methodology/ Approach: This paper used quantitative approach to confirm the conceptual model. Data was collected through questionnaires from directors/operational managers in 121 large and medium-scale manufacturing companies in Southeast Sulawesi Indonesia. The analysis employs Generalized Structured Component Analysis (GSCA) to test the direct, mediating, and moderating effects of supply chain environmental uncertainty. Results: The findings demonstrate a significant positive influence of supply chain environmental uncertainty on competitive advantage and operational performance. However, competitive advantage does not significantly affect operational performance. The study reveals that competitive advantage is perfect mediator between supply chain environmental uncertainty and operational performance, while supply chain environmental uncertainty is a moderating predictor between competitive advantage and operational performance. Practical Implications: The research has implications for manufacturing company managers adapting to supply chain environmental uncertainty through supplier, customer, and technology considerations. It emphasizes the importance of adapting to supply chain environmental uncertainty to enhancing competitive advantage and operational performance in the manufacturing industry. Efforts to improve operational performance and strategically integrate competitive advantage should consider the business environment, including suppliers, customers, and technology. Limitations: This research is limited to large and medium-scale manufacturing industries, hindering generalization to other industries, particularly small-scale ones. Additionally, researchers can consider additional contextual factors such as supply chain integration, supply chain agility, and total quality management. Originality/Value: This study expands the theoretical framework of supply chain environmental uncertainty, competitive advantage, and operational performance through empirical testing of a theoretical model. The findings support the proposed model's validity and highlight the mediation role of competitive advantage and supply chain environmental uncertainty, providing a reference for future theory development and model building.

Comprehensive chromatographic profiling and structural analysis of key anticoagulant components in enoxaparin

Heparin is the most widely used anticoagulant in clinical practice, with enoxaparin being one of the most important low molecular weight heparins (LMWHs). In this study, an antithrombin III (ATIII) affinity column was used. Enoxaparin and its oligosaccharides of varying sizes, prepared using preparative size exclusion chromatography (SEC), were fractionated through the ATIII affinity column. The different affinity fractions from each oligosaccharide size were profiled using strong anion exchange (SAX) chromatography. Each peak was automatically transferred to an SEC column for desalting prior to mass spectrometry (MS) analysis, which enabled structural identification using a multiple heart-cut (MHC) 2D LC-MS system (SAX-SEC-MS). The high-affinity fraction from enoxaparin was further analyzed using the MHC 2D LC system (SEC-SAX). SAX profiles of the high-affinity oligosaccharides, prepared by both size and affinity fractionation, were consistent with those obtained by direct SEC-SAX analysis. The possible sequences of several high-affinity hexasaccharides and the domain compositions of high-affinity octa- and decasaccharides in enoxaparin were further elucidated by disaccharide analysis after manual collection of the oligosaccharides. This work advances the understanding of enoxaparin's structural features and offers a potential approach to improve the quality of enoxaparin, as well as to identify key structural motifs in heparin/LMWHs that contribute to protein binding.

Enhancing Organizational Citizenship Behavior Through Leader Behavior and Job Satisfaction in Construction Company Associations

This study aims to elucidate the influence of job satisfaction and leader behavior variables in enhancing organizational citizenship behavior (OCB). The sample consists of large qualified contractor companies and medium qualified contractor companies. Respondents were identified using purposive sampling technique for each category within a target population. Correlational analysis is employed using the Generalized Structured Component Analysis (GSCA) approach, an inventive approach to the Structural Equation Model (SEM). The GSCA analysis is used to derive a powerful structural model for predictive purposes. The research results show that leader behaviour and job satisfaction have significantly and simultaneously effect on OCB. Keywords: behaviour, job satisfaction, Organizational Citizenship Behaviour (OCB)

СУТЬ І СТРУКТУРА ЕКОНОМІЧНОЇ КУЛЬТУРИ МАЙБУТНІХ ТЕХНІКІВ З ТРАНСПОРТНИХ ТЕХНОЛОГІЙ ТА УПРАВЛІННЯ ПЕРЕВЕЗЕННЯМИ НА АВТОМОБІЛЬНОМУ ТРАНСПОРТІ

The relevance of the article is due to the need to define and substantiate the essence and structure of the economic culture of future technicians in transport technologies and transportation management in road transport, to reveal the content of each component of the structure of economic culture, as well as to determine the key factors that contribute to its formation in the process of professional training of future technicians in transport technologies technologies and management of road transport. The purpose of the article is to determine the essence and structure of the economic culture of future technicians in transport technologies and management of road transport. Methods: the study of scientific sources regarding the interpretation of the essence of the concept "economic culture of the culture of future technicians in transport technologies and management of transportation by road transport" - to formulate one's own views on defining the content of this phenomenon; structural-component analysis - to distinguish the components of the economic culture of future technicians in transport technologies and transportation management by road transport; generalization and systematization - and formulation of conclusions and prospects for further research. Results: the main approaches in scientific sources to the interpretation of the concept of "economic culture of future technicians in transport technologies and management of road transport" were determined; the main components of the structure of economic culture and the components of the formation of the economic culture of future technicians in transport technologies and management of road transport are characterized. Conclusions: the essence of the economic culture of future technicians in transport technologies and transportation management in road transport is an integrative formation of the personality of a specialist, reflecting a system of professionally important qualities, values, knowledge, abilities and skills in planning technologies for the organization of transportation, providing transport and warehouse services, using resource potential for development transport enterprises in market conditions; characterized by a high degree of discipline, responsibility, independence with an awareness of the priorities of economic culture in the performance of professional tasks. The component structure of the economic culture of technicians in transport technologies and transportation management in road transport includes motivational-value, innovative-cognitive, activity-technological, personal-reflexive.

The Model of Nursing Administration and Quality of Working Life Management of Nurses after COVID-19 Pandemics, in Thailand

The research results showed that 1) Conditions and guidelines the nursing administration and quality of working life in during and after the pandemics COVID-19 were explored and found that executives understood their personnel and emphasized that relevant personnel must perform their duties according to the measures to prevent the spread of COVID-19. Problems found included insufficient personnel for the work and overlapping roles. Factors that supported personnel to manage their work quality after the COVID-19 outbreak included teamwork, participation in planning and solving work safety issues, having time for work and family, and job satisfaction. The guidelines for operations after the COVID-19 outbreak should include changes to the work system, building morale, participation, teamwork, and job satisfaction. Good time management could affect the quality of life of nurses. 2) In the study of measurement model, it was found that all sub-component latent variables were suitable as the observed variables of each main component, and all main components were suitable as the observed variables of the nursing administration model and the management of working life quality of nurses after the COVID-19 outbreak. When checking the consistency of the measurement model, the measurement model was consistent with the empirical data, thus confirming the development of the nursing administration model and the management of working life quality of nurses after the COVID-19 outbreak in Thailand, by the linear structural component analysis method. 3) the model of nursing administration and quality of working life management of nurses after the COVID-19 pandemic in Thailand or SWAP FECT MODEL; it was found that all experts confirmed that the model was a model with practical steps, consisting of 2 main components, 10 sub-components, and 66 indicators. The main components of nursing administration in the VUCA model had 3 sub-components: transparency, empowerment of subordinates, and collaboration. The main components of management of working life quality had 7 sub-components: agency support, work safety, work participation, work satisfaction, well-being, self-development, and free time management. There were 3 steps of good management: 1. Inputs 2. Processes and 3. Outputs.

Pengaruh Financial Knowledge terhadap Keputusan Keuangan Usaha Kecil dan Menengah (UKM) di Pulau Lombok dengan Risk Perception sebagai Variabel Intervening

This study aims to analyze the impact of Financial Knowledge on Financial Decision-Making, with Risk Perception as an intervening variable among Small and Medium Enterprise (SME) owners in Lombok Island. The research adopts a quantitative approach with explanatory research design. The population includes all SMEs in Lombok, with a sample of 35 SMEs involved in the pottery craft industry that have engaged in export activities, selected using judgment sampling. The respondents are the owners of these SMEs, who participated through questionnaires. Data were analyzed using Generalized Structured Component Analysis (GSCA). The findings reveal that Risk Perception does not mediate the relationship between Financial Knowledge and Financial Decision-Making. However, Financial Knowledge has a significant negative effect on Risk Perception, and Risk Perception has a significant negative effect on Financial Decision-Making. These results are influenced by the characteristics of the respondents, who are mostly in their productive age, predominantly male, with education levels ranging from high school to university, and have been in business for over 15 years

Contribution of distinct components in divergent organic amendments to long-term accumulation of soil organic matter in agricultural soils: evidence from thermally assisted hydrolysis and methylation-GC/MS.

Although maintaining/improving soil organic matter (SOM) quantity through utilizing organic amendments (OAs) is a productive practice, information on OA components contributing to long-term SOM accumulation in agricultural soils remains meager. Hence, we examined soil samples from a long-term experiment with different fertilizer managements, including no fertilizer (NF), chemical fertilizer (CF) only (CF), bark compost plus CF (BC + CF), coffee residue compost plus CF (CRC + CF), cattle manure compost plus CF (CMC + CF), and cattle manure compost (CMC) or sewage sludge compost (SSC) alone at a higher application rate. SOM in those samples was physically fractionated into free particulate form (fSOM), free form occluded in aggregates (oSOM), weakly bound form (wSOM), and strongly bound form (sSOM). Analysis of structural components in OAs and SOM fractions using thermally assisted hydrolysis and methylation combined with gas chromatography/mass spectrometry (THM-GC/MS) revealed OA components that have contributed to long-term SOM accumulation in each treatment. The SSC was characterized by higher proportions of short-chain fatty acids (FAs; 50%) and other aliphatic compounds (22%). Correlation analysis suggested that these characteristics may be effective for greater C accumulation in the bulk soil and wSOM fraction. The proportion of lignin-derived phenols, e.g., 3,4-dimethoxybenzaldehyde (Vh) and 1,2-dimethoxy-4-(1,2,3-trimethoxypropyl)benzene, was high in CMC (43%), presumably vital for promoting C accumulations in the oSOM, wSOM, and sSOM fractions in the CMC treatment. The short-chain FAs in CRC and aromatic components in BC are likely important for contributing fSOM accumulation.

What drives fulfilment and repeat visits among Asian domestic travellers: the application of IGSCA and fsQCA

ABSTRACT This study examines the critical role of domestic tourism as an alternative market to international tourism post-pandemic. It analyses travel motivations alongside perceived risks and safety to assess their impact on trip fulfilment and revisiting intentions. Data from 846 respondents in China, South Korea, and Thailand revealed patterns. Integrated Generalized Structured Component Analysis (IGSCA) and Fuzzy Set Qualitative Comparative Analysis (fsQCA) were used to discern the relationships influencing the desire to return. Findings highlight ‘arousal’ and ‘social sharing’ as essential for low-level fulfilment, while ‘self-actualization’ and ‘social sharing’ are key for high-level fulfilment. ‘Perceived safety’ significantly affects both levels of fulfilment, which in turn affect the intention to revisit. FsQCA identified specific necessary conditions and configurations predicting the two types of fulfilment and the intention to revisit domestic destinations.

Data vulnerability and privacy risk among hotel guests who share personal data

This research explores the guests’ perception toward data vulnerability and its impact on the privacy risk, privacy concern, and the perceived benefits of sharing personal data with hotels, which is in response to rising concerns about the personal data collection for service facilitation in hotels. A proposed research framework that explains the antecedents and outcomes of hotel guests’ privacy risk and privacy concern that is related to personal data sharing was examined using the generalized structured component analysis with measurement errors incorporated (GSCAM), the necessary condition analysis (NCA), and a fuzzy-set qualitative comparative analysis (fsQCA). The results expand the antecedents → privacy concerns → outcomes (APCO) model by determining a set of salient variables, such as data access, data breach vulnerabilities, privacy risk, and concern in regards to determining hotel guests’ perceived benefits of sharing personal data. This study provides valuable insights into privacy dynamics, enabling hotel professionals to develop targeted marketing strategies prioritizing both data utilization and guest privacy. It also suggests enhancing data security measures to mitigate concerns and foster trust among guests.

Unveiling population structure and selection signatures of riverine and genetically improved rohu, Labeo rohita using genome wide SNPs.

Captive breeding, along with artificial selection can significantly impact population structure by influencing allele frequencies and driving populations towards specific adaptation. Selective sweeps are powerful forces in shaping genetic variation within populations and can drive rapid spread of beneficial alleles while simultaneously reducing genetic diversity in localized regions of the genome. The present work was undertaken to assess the genetic structure and consequences of artificial selection in 10th generation of genetically improved rohu by comparing with wild populations. The present study used 11,022 high-quality genome wide SNPs to compare the population genetic structure and signatures of selection between Jayanti rohu population and its wild counterpart. Outlier analysis revealed presence of 14 adaptive SNPs, out of which 5 were classified to be under decisive selection pressure. Notably, Jayanti rohu (JR) displayed 297 private alleles exclusive to its population. Chromosomes 7 and 16 emerged as potential hotspots containing a majority of the identified SNPs. Structure and principal component analysis revealed two distinct clusters, effectively distinguishing the JR and wild rohu populations. Phylogenetic analysis indicated a separate cluster of JR population distant from wild groups. The results of present study shall help in elucidating patterns of genetic variation and characterizing selection signatures associated with captive bred and natural populations of rohu. The genomic resources generated through this work shall be helpful in improving the traceability of selectively bred germplasm for developing future strategies of genetic management.

Integrated Management System To Improve Corporate Sustainability Performance The Case Study In The Pharmaceutical Manufacturing Industry

This study aims to investigate the mediating factors of achieving quality, environmental and social performance concerning the sustainability of pharmaceutical manufacturing companies. Effective implementation of an integrated management system is essential in achieving business process performance to improve the company’s sustainability performance. The priority of the pharmaceutical industry is to satisfy the requirements of quality assurance and product safety. Thus, a balance is required toward implementing an integrated management system. This research was conducted in one of the pharmaceutical manufacturing companies in Indonesia. Data were collected using questionnaires and interviews with respondents and analysed using generalised structural component analysis (GSCA). Results of this study show that implementing an integrated management system can improve social performance and corporate sustainability. The implications of this study indicate that the balanced implementation of the integrated management system has not been effectively achieved. Consequently, a strategy is required to evaluate the quality and environmental performance achievements and to improve the implementation of the integrated management system in a balanced manner.

Contribution of groundwater-borne nutrients to eutrophication potential and the share of benthic algae in a large lowland river

Groundwater inflow can be a significant source of nutrients for riverine ecosystems, which can affect eutrophication i.e., the elevated primary production and the corresponding accumulation of algal biomass. Experimental and modelling work has shown that benthic algae (autotrophic biofilms) in particular benefit, as they have direct access to the inflowing groundwater-borne nutrients. Primarily the supply of phosphorus (P) enhances pelagic algal biomass, as it is the limiting nutrient for primary production in most freshwater systems. In this study, we estimate the effect of groundwater inflow on overall eutrophication of a large, European lowland river and tested its seasonal effect on biofilms in particular. We calculated the effects on overall eutrophication during summer according to the estimated input of groundwater-borne P and the C:P stoichiometry of planktonic algae in the Elbe River. Our model indicated that these diffuse P inputs have the potential to significantly increase eutrophication. Groundwater-P can contribute up to 1.5 t/d PO4 over the investigated 450 km stretch of the Elbe River under low flow conditions. This would result in an additional planktonic load of about 46 t/d of particulate organic carbon, thereby contributing to eutrophication at the regional scale in this river. In contrast, at the local scale, biofilms were collected seasonally from artificial substrata exposed in the river either in hydrogeologically active areas with groundwater inflow, or in areas of varying hydraulic connectivity. Analyses of biofilm macronutrients, structural components and biofilm community composition show distinct effects of season, hydrogeology and groundwater inflow. The dominant predictors were season and the interaction between hydrogeology and groundwater. Benthic eutrophication is most likely to occur in autumn in areas of loose rock with high groundwater inflow. The strong interaction of environmental factors in determining benthic eutrophication highlights the need to assess these factors in combination rather than in isolation.

Shear buckling behaviour of sinusoidal corrugated web girders with stiffened circular openings

The mechanical properties and failure behaviours of three different specimens of sinusoidal corrugated web girders with stiffened circular openings were investigated experimentally and numerically. The experimental outcomes showed similarities in the mechanical properties and failure model of the specimens, despite differences in the geometric dimensions. The numerical simulations further confirmed the buckling as well as post-buckling behaviours of the experimental results. The influence of initial geometric imperfections on the shear buckling load of the corrugated web girders was quantified and neglecting geometric imperfections led to an overestimation of the actual shear load capacity, emphasizing the importance of considering imperfections in the design of structural components. The investigation results showed that the shear load capacities of the girders were significantly affected by the thickness of the opening stiffeners, and that the presence of openings reduced the load carrying capacity and the overall stiffness of the beams, whereas the existence of opening stiffeners increased both the ultimate load bearing capacity and the global stiffness. However, the strengthening effect of the opening stiffener becomes less pronounced beyond a specific thickness. Besides, a comparison between hand calculations and numerical simulations show that the recently developed calculation method provided a more reliable prediction of the shear buckling resistance of corrugated web with stiffened openings. This investigation provides valuable guidance on the shear buckling behaviour of sinusoidal corrugated web girders with circular opening stiffeners, thus benefiting the design and analysis of steel structural components with sinusoidal corrugated web.

Reverse Engineering Workflows for the Structural Assessment of Historical Buildings

ABSTRACT Supported by advancements in 3D scanning and parametric modeling tools within the architecture, engineering, and construction sectors, reverse engineering processes for cultural heritage (CH) have recently gained popularity. While many studies have focused on simple 3D reconstructions to create virtual environments, a specialized subarea of this research field has targeted more specific digitization objectives, including, among many, structural analysis of building components. This emerging field has not yet been systematically developed due to the intrinsic challenges associated with CH. Within this context, this paper proposes and describes a reverse engineering-based method that utilizes terrestrial laser scanning and visual programming (VP) to analyze displacements and deformations that occurred over time in historical masonry buildings and applied it to the timber trusses, masonry facades, and columns of two selected Italian case study buildings. This method allows for comparing the surveyed condition of these components, considered the “deformed state”, with their ideal configuration, reconstructed using VP algorithms, considered the “original state”. The outcomes of this comparison facilitate the investigation of the components’ structural behavior and support joint considerations to assess the overall condition of the investigated building, providing helpful knowledge for guiding structural improvement interventions.

TERM FORMATION IN THE LEXICAL-SEMANTIC FIELD “CHEMICAL ENGINEERING” IN MODERN ENGLISH: STRUCTURAL AND DERIVATIONAL ASPECTS

Background. In modern linguistics, research is being carried out on the methods of term formation in the lexical-semantic fields of various spheres of human activity. The purpose of the article is to study term formation in modern English in the lexical-semantic field “chemical engineering” based on structural and derivational aspects. The structural aspect means component analysis, which allows us to identify the number of special lexical units in a terminological combination. Materials and methods. A sample of special lexical units (363) from English-language articles in the chemical industry is presented as material for the study. Descriptive, structural, typological, as well as the method of component analysis were used to study the material. Results. The most common and less common structural models have been identified based on the partial compatibility of components, as well as the lexical length of special lexical units, i.e. the number of components in a terminological combination. The morphological features of special lexical units have been determined. Analysis of grammatical derivation allowed us to identify linear models, including affixation and compounding, as well as non-linear models represented by abbreviations, for example, abbreviations, combinations with abbreviations, nomenclature units, combinations with nomenclature units and word mergers with truncation of word stems. The semantic aspect of the analysis of special lexical units allowed us to identify a few anthroponyms, as well as units with internal predication. Scope of application of the results. The results of the study can be used for further research on term formation in lexical-semantic fields.

Intelligent Hysteresis Modeling for Capturing Structural Features via Multi-Physics Guided Neural Network and Its Earthquake Resistant Test

ABSTRACT The hysteresis model simplifies the relationship between resilience and deformation in seismic performance analysis of structural components. However, accurately capturing structural performance poses a challenge due to the intricate nature of hysteresis data. To enhance precision, this study introduces a multi-physics-guided neural network model. This innovative approach integrates explicit hysteresis models with an implicit network to create a robust hybrid model. The network architecture is grounded in physical principles, with the loss function incorporating physical parameter relationships for effective training. Through quasi-static testing, this approach demonstrates its robust adaptability and precision to the unique hysteretic curves of diverse components.

Systematic Literature Review: The Use of SEM in Journal of Travel & Tourism Marketing (JTTM) Between 2020 – 2022

The aim of this study was to categorize and analyze the patterns of structural equation modeling (SEM) used in research in the travel and tourism industry, published in the journal of travel & tourism marketing (JTTM) between 2020 and 2022. This review seeks to provide an updated literature overview and identify gaps in the literature relevant to future research by employing the systematic literature review (SLR) method. The findings of the study indicate that factor-based SEM has been more frequently used compared to composite-based SEM. However, for future research, there should be more emphasis on composite-based SEM, particularly utilizing techniques such as integrated generalized structured component analysis (IGSCA) and partial least square consistent structural equation modeling (PLSc-SEM). These methods are hybrid techniques that can analyze both factor and composite variables within the same model. Additionally, this study has categorized research in the travel and tourism industry into eight major themes: 1) destination, 2) attraction, 3) hotel/resort, 4) airline, 5) restaurant, 6) social media, 7) festival/event, and 8) travel agency. For future research, there should be a focus on the festival/event and travel agency themes, as there is a relatively limited body of research within these themes.