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The paper aims to address the issue of Web service providers facing a major issue of estimating the potential effects of changing a Web service to other services, especially in large ecosystems of Web services which have become more common nowadays. Web service providers make constant changes to their Web services to meet the ever-changing business requirements.

The paper proposes an approach to predict change impact by mining a version history of a Web service ecosystem. The proposed approach extracts patterns of Web services that have been changed together from the version history by using association rule data mining techniques. The approach then uses this knowledge of co-changed patterns for predicting the impact of future changes based on the assumption that Web services which have been changed together frequently in the past will likely be changed together in future.

An empirical validation based on the Amazon’s ecosystem of 46 Web services indicates the effectiveness of the proposed approach. After an initial change, the proposed approach can correctly predict up to 25 per cent of further Web services to be changed with the precision of up to 82 per cent.

Traditional approaches to predict change impact in Web services tend to rely on having a dependency graph between Web services. However, in practice, building and maintaining inter-service dependencies that capture the precise semantics and behaviours of the Web services are challenging and costly. The proposed approach offers a novel alternative which only requires mining the existing version history of Web services.

Business process has become the core assets of many organizations and it becomes increasing common for most medium to large organizations to have collections of hundreds or even thousands of business process models. The purpose of this paper is to explore an alternative dimension to process mining in which the objective is to extract process constraints (or business rules) as opposed to business process models. It also focusses on an alternative data set – process models as opposed to process instances (i.e. event logs).

The authors present a new method of knowledge discovery to find business activity sequential patterns embedded in process model repositories. The extracted sequential patterns are considered as business rules.

The authors find significant knowledge hidden in business processes model repositories. The hidden knowledge is considered as business rules. The business rules extracted from process models are significant and valid sequential correlations among business activities belonging to a particular organization. Such business rules represent business constraints that have been encoded in business process models. Experimental results have indicated the effectiveness and accuracy of the approach in extracting business rules from repositories of business process models.

This research will assist organizations to extract business rules from their existing business process models. The discovered business rules are very important for any organization, where rules can be used to help organizations better achieve goals, remove obstacles to market growth, reduce costly mistakes, improve communication, comply with legal requirements, and increase customer loyalty.

There has very been little work in mining business process models as opposed to an increasing number of very large collections of business process models. This work has filled this gap with the focus on extracting business rules.

The purpose of this paper is to provide a deeper understanding of the different factors of destination quality in explaining European tourist satisfaction in Nha Trang city, which has one of the 29 most beautiful bays in the world and more than one million international tourists per year. The authors will also make some recommendations to attract more European visitors to Nha Trang and to increase satisfaction, as measured by their intention to return in the future.

A sample of 356 European visitors participated in this study. A structural equation modelling was applied in order to test the relationship between the constructs, and to evaluate their reliability and validity.

The results indicate satisfactory reliability and validity of the constructs and support the five hypotheses within a structural equation modelling. The findings highlight the importance of incorporating the roles of different factors in explaining tourists’ satisfaction. Specially, in some previous studies, the composition of the destination quality such as accommodation, food services, the retail and souvenir shops and destination attractions has a great impact on domestic tourist’s satisfaction. While the study found that the biggest factor affecting European tourist’s satisfaction was the friendliness and hospitality of the local people in Nha Trang city.

Future studies should test the difference in satisfaction with the quality of destinations of European tourists to Nha Trang city. Research sample surveys should be collected in order to the magnitude and priority of key European tourist markets such as Russia, England, France, Spain and Germany. In addition, future studies should include more representative samples in other cities and include both domestic and international visitors. The proposed model intends to combine some components of tourism behaviour dimensions (value, involvement, knowledge, ambivalence, certainty, preference, trust, etc.) to test the satisfaction and destination intentional loyalty within this multidimensional perspective in a tourist destination context. The study has not considered the relationship between the increase of Russian tourists to the Nha Trang city in recent years and the decline of the European tourists (England, France, Spain, and so on). Thus, future studies should extend the model to have a more comprehensive picture about the cultural differences and cultural conflict in explaining the loyalty destination of European tourists.

Based on the research findings, the paper strongly recommends the city government to build an image of Nha Trang with friendly and hospitable people. Schools, tourism companies, and local authorities should pay attention to education and training to raise public awareness for tourism development and respect for tourists. The local government needs to develop activities to help the city residents become the typical citizen in the eyes of European tourists, contributing to the sustainable development of tourism in the city.

This study explores and tests the different factors of destination quality in explaining European tourists’ satisfaction. The research findings confirm that different dimensions of perceived destination quality are important variables to explain European tourist satisfaction.

Luxury and communism are perceived to be ideologically incompatible values. Prior to the end of the Cold War, luxury tourism and socialist economies had an accommodating relationship and were rationalised at the national level for foreign exchange revenues, showcasing national development in some instances and finally promoting leisure and political education. However, contemporary scholarship on political ideology and luxury tourism is limited given changes in the political and tourism domain over the last two decades. The start of luxury travel and increasing private promotion in Vietnam comes at a time where the communist regime is hurriedly developing the economy at a breakneck speed. Key cities like Hanoi and Ho Chi Minh City have become the forefront of luxury travel for Vietnam. Luxury malls, fine dining and five-star hotel resorts have sprung over the years in tandem with Doi Moi (economic restructuring). Tourism literature has seldom ventured into regime politics and luxury tourism. Using a historical approach, the chapter traces the preamble of luxury tourism in the age of Vietnam's modernity. A critical assessment of contemporary luxury tourism in Vietnam reveals a favourable relationship with socialist principles.

This paper aims to provide a deep understanding of rural household livelihoods in the Mekong Delta and to explore how they can cope with climate stressors at the ground level.

The paper employs the sustainable livelihood framework at a household and also an individual scale. The general data obtained from a survey of 2,100 households provide an overview of their livelihoods. Qualitative and quantitative methods were adopted, as case studies, to comprehensively assess 100 households in one commune affected by annual floods and an additional 100 households in another commune affected by sea level rises. Livelihood profile analysis is beneficial to identify specific livelihood change patterns that have taken place in these specific cases.

There are four types of livelihood adaptation to climate stressors: (1) change of structure of agricultural systems, (2) change of employment locations, (3) resettlement with strong impact on livelihoods and (4) out-migration. The household livelihood resources and the local economic structures have significant roles in driving adaptive solutions.

This paper provides detailed profiles of the livelihood change considered as passive adaptation of smallholders in the Mekong Delta.

It contributes to the knowledge of rural households in multiple aspects with regard to how they cope with climate change via reflection on their livelihoods.

Groundwater plays a critical part in both natural and human existence. When surface water is scarce in arid climates, groundwater becomes an immensely valuable resource. Dak Lak is an area that frequently lacks water resources for everyday living and production, and the scarcity of water resources is exacerbated during the dry season. As a result, it is critical to do study and understand about groundwater to meet the region's water demand. This study aims to extend the use of the MODFLOW model for groundwater simulation and assess the overall groundwater reserves and water demand in the highland province Dak Lak.

The MODFLOW model is used in this work to compute and analyze the flow, prospective reserves of groundwater from which to plan extraction and estimate groundwater variation in the future.

The application of the MODFLOW model to Dak Lak province demonstrates that, despite limited data, particularly drilling hole data for subterranean water research, the model's calculation results have demonstrated its reliability and great potential for use in other similar places. The use of the model in conjunction with other data extraction modules is a useful input for creating underground flow module maps for various time periods. The large impact of recharge and evaporation on groundwater supplies and water balance in the research area is demonstrated by simulations of climate change scenarios RCP4.5 and RCP8.5.

None of the studies has been done previously to analyze water resources of Dak Lak and the scarcity of water resources is exacerbated during the dry season. Therefore, this study will provide useful insights in the water resource management and the conservation of Dak Lak. The groundwater in Dak Lak can meet the area's water demand, according to the results obtained and water balance in the study area. However, the management of water resources and rigorous monitoring of groundwater extraction activities in the area should receive more attention.

Vietnam is located in the tropical monsoon area, one of five storm hubs of Pacific Asia, and is regularly faced with various disasters. Drought, a normal part of the climate for virtually all regions of Vietnam, is of particular concern, where an interruption of the country already limited water supplies for extended periods of time can produce devastating impacts. Historical records indicate that drought occurs almost everywhere in those places almost every year (Hieu, 2002). However, multiyear droughts are of great concern to water-resource managers, natural-resource managers, and policy makers (Nguyen, 2010b).

This study aims to study the moderating effects of private ownership and government support on the relationship between outsourcing and product innovation in entrepreneurial ventures in a transition economy.

The data of 10,296 Vietnamese entrepreneurial ventures from the four rounds of the survey conducted by the General Statistics Office (GSO) of Vietnam to investigate the moderating effects of private ownership and government support on the association between outsourcing and entrepreneurial ventures’ product innovation performance. The Probit regression model is employed to estimate such associations.

Our research uncovered that the impact of outsourcing on the likelihood of product innovation is more significant for entrepreneurial operations characterized by a substantial degree of private ownership and government backing as opposed to those without.

The results of our research indicated that the resource-based perspective and extended resource-based view (ERBV) are essential in examining the impact of gaining resources or skills from external sources on the growth of entrepreneurial enterprises. These ideas have significance and importance not just in industrialized economies but also in countries undergoing transition. Our findings suggest that entrepreneurial enterprises should have the ability to manage a wide range of resources and make decisions about which activities should be handled internally and which should be delegated to other parties.

Our findings also imply that entrepreneurial ventures should be able to control many resources and choose which tasks should be performed in-house and which should be outsourced to third parties.

By adopting and leveraging the resource-based view (RBV) and extended resource-based views (ERBV), our study developed a theoretical model about private ownership and government support for moderate outsourcing’s impact on entrepreneurial innovation in a transition economy.