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The Online Travel Booking Services is the modern way of attracting people for the tourism industry. The tourism has become so easy because of this service and there are lots of improvements needed for this industry as whole. There are OTBS functions even for middle class people or salaried person who cannot afford costlier services. So there are few online tourist websites which provide quality service at a cheaper cost which is a great advantage for middle class people. This would increase the revenue of the tourism industry which is in turn an advantage for the government. The more detailed and beautiful websites attracts more tourists as they have a glimpse of what is available in the place and all the details about their travel. So our government should take keen action on developing more services regarding to OTBS which is the future of tourism industry.

In the article four development indicators have been carefully selected and their impact on the level of acceptance of the Internet booking of travel and holiday accommodation in selected European countries has been observed. The statistical panel analysis approach was used to determine the individual and the common impact of the development indicators. The analysis has shown that an individual's wealth, the public expenditure on education, and the Internet penetration rate have a positive statistically significant impact on the level of acceptance of the Internet booking of travel and holiday accommodation whereas the share of individuals with low level Internet skills has a negative statistically significant impact. These results carry significant importance for economists, politicians and all other stakeholders responsible for tourism development in a country. The use of the unbalanced panel is the main limitation of the article.

Intro -- Preface -- Organization -- Contents -- Towards Dynamic Business Process Management: Adapting Processes via Cloud-based Adaptation Processes -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Solution Approach -- 4 Realization -- 4.1 Adaptation Patterns and AaaS -- 4.2 Implementation Details -- 5 Evaluation -- 5.1 Case Study in the Business Domain: Travel Booking -- 5.1.1 Initial Travel Booking Workflow -- 5.1.2 Travel Booking Adaptation Workflows -- 5.1.3 Resulting Travel Booking Workflow -- 5.1.4 Conventional Travel Booking Workflow -- 5.2 Case Study in Software Engineering -- 5.2.1 Sequential Waterfall Process -- 5.2.2 Quality Assurance Adaptation Process -- 5.2.3 TDD adaptation Process -- 5.2.4 Aspect-Oriented Adaptations -- 5.2.5 Self-adaptive Processes -- 5.3 Measurements -- 6 Conclusions -- Acknowledgments -- New Approaches for Automated Process Model Discovery -- 1 Introduction -- 2 Process Model Discovery in Time from Internet of Things -- 3 Existing Process Discovery Approaches and Their Limitations -- 3.1 Process Mining -- 3.2 Application Usage Mining -- 3.3 Web Usage Mining -- 3.4 RFID -- 3.5 Evaluation -- 4 Identified Possibilities for Data Capturing -- 4.1 Screen Capturing and Optical Character Recognition -- 4.2 Operating System Information -- 4.3 Process ID in Application Systems -- 4.4 Tracking of Business Objects -- 4.5 Summary -- 5 Challenges During the Development of a Method -- 5.1 The Example of the Data Entry Process -- 5.2 Challenges of Automated Process Model Discovery -- 6 Conclusion and Outlook -- References -- A Business Process Meta-Model for Knowledge Identification Based on a Core Ontology -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Background: A Core Ontology of Organization's Processes -- 4 Sensitive Business Processes Specification -- 4.1 SBP Characterization -- 4.2 SBP Modeling Approaches.

This paper investigates the impacts of economic indicators and the Internet penetration rate, as well as people's ICT skills based on the Percentage of Individuals who booked travel and holiday accommodation over the Internet as the main variable under study. Recent data on member states in the European Union (EU28) are analyzed, including data on the three official EU candidate countries: Turkey, the FYR of Macedonia and Serbia. The research focuses on the position of the above mentioned EU candidates, considered part of South East Europe (SEE) and the Western Balkans (WB). The main variable under study and four variables making a statistically significant impact on the main variable are explored. High positive correlations between pairs of the variables for 30 countries were found. Multiple linear regression modelling using the OLS estimators resulted in several acceptable models. Most hierarchical and non-hierarchical clustering methods resulted in clear grouping of the SEE countries (Turkey, the FYR of Macedonia, Serbia, Bulgaria and Romania) into the same clusters. Other more developed SEE countries in terms of the analyzed variables and utilizing specific clustering techniques joined other EU countries in different combination setups.

PurposeThis paper delves into the multi-faceted factors influencing the adoption and utilisation of online travel agencies (OTAs) for reserving hotel accommodations. The study aims to expand upon the unified theory of acceptance and use of technology (UTAUT2) framework to accomplish this objective by integrating the critical dimension of technology readiness (TR).Design/methodology/approachFour hundred and fifty-three (453) inbound tourists were asked to share their feedbacks on their recent OTA booking experience. Structural equation modelling (SEM) was used to confirm the study model and test the study hypotheses.FindingsThis study found that the motivating TR attributes favourably affect the acceptance and actual use of OTAs, while the inhibitors TR reflects adverse effects on OTA's usage. On the other hand, the OTAs usage attributes: performance expectancy, effort expectancy, social influence, facilitating condition, hedonic motivation, price value and habit are all significant determinants of consumers' behavioural intention.Originality/valueThe originality of this study lies in providing a more comprehensive explanation and prediction of consumer behaviour in relation to OTAs. Specifically, it recognises the importance of TR as a significant determinant of technology adoption and usage within the service industry realm.