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The paper aims to investigate the difference in total factor productivity (TFP) among those firms with and without outsourcing in a developing country like Vietnam. Also, it explores the effect of outsourcing activities on total factor productivity with a specified concentration on the Vietnamese small and medium-sized enterprises (SMEs).

The panel data set of SMEs used in this study was originated from biannual surveys conducted under the collaboration between educational organizations and government agencies: Stockholm School of Economics (SSE), Department of Economics – the University of Copenhagen, the Institution of Labor Studies and Social Affairs (ILSSA) in the Ministry of Labor, Invalids and Social Affairs (MOLISA). In this study, the model is developed based on the production function in accordance with the model of Girma and Görg (2004). The firms’ TFP is the difference between the actual and the predicted output as with the approach by Levinsohn and Petrin (2003).

This study finds out that firms with outsourcing have higher total factor productivity than those without outsourcing activities. In addition, the more firms spend on outsourcing, the higher total factor productivity they can gain. Outsourcing to SMEs in a developing country can significantly increase its TFP by means of either maintaining core competencies or searching external resources in conducting some internal activities.

Although outsourcing has been widely applied by large firms, the research studying its impact on productivity at firm level is limited. Especially, this study can shed light on the impact for the case of SMEs in a developing economy.

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.

This study aims to deeply understand customer experiences toward Internet of Things (IoT) applications in retail by developing machine learning models for aspect-based sentiment analysis (SA). It includes creating a related terms dictionary and proposing implications for retail businesses in Vietnam based on these analyses. The ultimate goal is to gain insights into customer opinions and assist administrators in formulating effective digital transformation and business strategies within the Vietnamese market.

Initially, this research uses qualitative methods to identify different aspects of customer experience at stores equipped with IoT applications. Then, quantitative methods were applied through classification machine learning models which were trained on the annotated data set to classify comments into aspects and sentiments. Finally, the classification results were analyzed and visualized to draw implications about customer opinions of these stores.

This study collected 77,042 customers’ comment from potential and actual customers who have ever shopped at retail stores with IoT applications deployed worldwide, identified ten new aspects of customer experience in this field and built a dictionary of related terms. Furthermore, this study contributed two efficient ensemble models with an accuracy of 81% and 89% for analyzing aspects and customer sentiments, respectively. This study also proposes implications for managers regarding the use of IoT technology in retail stores to improve shopping experiences for customers.

This study’s findings help managers develop appropriate digital transformation and business strategies for integrating IoT technology into retail stores, especially for retail businesses in the Vietnamese market based on the analysis results and proposed model.

The call for consumption reduction behavior has been getting more attention from scholars and practitioners. However, the consumption reduction often receives backfire from consumers because it does not follow the business philosophy of demand creation. Thus, this research dissolves this issue by using a holistic corporate social responsibility (CSR) approach regarding sustainable development.

A conceptual model was developed to represent the proposed relationships among the related variables. The current study employed an online survey to collect data from 341 international program students of three prominent universities in Ho Chi Minh City, Vietnam.

The findings indicate that the perception of the holistic CSR negatively impacts perceived corporate hypocrisy, triggering in turn brand credibility, resulting in brand advocacy and mindful consumption behavior.

This research forms a holistic CSR including economic, environmental and societal dimensions and proposes that the holistic CSR triggers brand advocacy and mindful consumption behavior representing consumption reduction behavior via the mediating roles of perceived corporate hypocrisy and brand credibility. These findings contribute to theoretical and managerial implications in CSR practices with the aim of consumption reduction.

A series of “learning lab” projects on disaster risk management for sustainable development (DRM-SD) have been accomplished from 2014 to 2016 in Malaysia, Vietnam, Lao PDR and Cambodia by the Centre for Global Sustainability Studies. The project is designed for professionals from the disaster risk management field to encourage integration of sustainable development (SD) concerns into the larger planning framework for DRM. As a case study for capacity building (CB) evaluation, the central purpose of this study is to explore the approaches, feedbacks and implications of the DRM-SD CB project that have been developed and carried out.

Three methods have been used which are participation observations, surveys and document analysis. The results show that the project had successfully applied seven different tools to enhance analytical skills and professional knowledge of development practitioners in specific areas of DRM-SD.

Based on the survey, the project received positive response and valuable information from participants for future project development. Regarding the perspective of outcomes, the result indicates that south–south, ASEAN regional and triangular cooperation and role of higher education in DRM-SD are significant impacts from this project which can bring several benefits and should be promoted as an approach for the DRM-CB project as a whole.

It is hoped that this study will serve as a transfer learning initiative to provide approach guidelines and innovative mechanisms for DRM practitioners who will have the know-how and potential for leadership in DRM-SD.

One Commune One Product (OCOP) program, a rural economic development program in Vietnam, aims to empower local communities for sustainable social and economic welfare development, protect the environment and preserve tradition. This study aims to employ this program associated with tourism to support small family businesses in rural areas cost-effectively.

This study used the geographic location mapping method to design tourist routes that connect tourism resources with OCOP producers. A stakeholder approach was employed to identify suggested practical works that need to be implemented while developing this tourism initiative.

Four rural districts of Bac Giang Province, a northern province in Vietnam known as the place of various indigenous people live and traditional craft villages. Many cultural and historical tourist sites have been chosen as sample areas for this study. By using Google map, based on the Bac Giang Tourist Map and a list of recognized OCOP products in Bac Giang Province, main tourist sites (16 locations) and small family businesses (known as cooperatives and households) that have OCOP products (17 places) in the four districts have been identified. Four notable tourist routes have been formed to propose four thematic tours (two 1-day tours and two 2 days-1 night homestay tours). Suggestions for related stakeholders to ensure the sustainability of this initiative are provided.

This study is supposed to be a model of promoting small family businesses through OCOP programs and tourism activities in a sustainable way in Vietnam. The outcome of this study is in line with the stakeholder theory emphasizing the systematic connection of various stakeholders such as employees, suppliers, local communities, government agencies and others towards complex business sustainability. The results of the study cannot conclude the small family businesses in Vietnam because it adopts geographic location mapping alone. Moreover, this study focused on OCOP programs only. Future research can use other methods of primary data collection, especially from tourists' perspectives. Data triangulation can be done to explore and verify the tourist routes that have been formed according to the four thematic tours proposed. Future research could also compare hotels managed by family businesses with non-family businesses.

This study is supposed to be a model of promoting small family businesses through OCOP programs and tourism activities in a sustainable way in Vietnam.

This chapter clarifies the “dark tourism” in Vietnam; a case study of Hoa Lo Prison Relic. Development orientation of “dark tourism” in Vietnam contributes to healing the wounds of war. The author mainly uses a system approach, method of analysis and synthesis, and method of comparison. “Dark tourism” in Vietnam has not really developed as a specific type of tourism like ecotourism or meetings, incentives, conferences, and exhibitions (MICE) tourism. At Hoa Lo Prison historical site, “dark tourism” has been effectively exploited: (1) in the first 6 months of 2023, Hoa Lo Prison welcomes nearly 295 thousand visitors, charging fees of 7 billion VND, the situation of “sold out” takes place regularly; (2) many unique tourism products, one of the successful and widespread tourism products must be mentioned the “night tour” experience; (3) many creative forms of sightseeing with automatic explanation system so that visitors can experience 35 historical stories in their own way; and (4) always create the best conditions for visitors’ sightseeing experience. To promote dark tourism in Vietnam, it is necessary to execute some schemes: (i) enhance the sense of responsibility for peaceful tourism in the operation of monuments; (ii) stakeholders coordinate the organization of the tour program and tourist routes with appropriate contents and forms for each target group, especially foreign tourists; (iii) there is cooperation between national and international experts in organizing the “dark tourism” program aimed at peace, preventing the risk of war and conflict, and overcoming the consequences of war; and (iv) application of scientific and technological achievements in “dark tourism” activities.

Farmers' risk attitudes and risk perceptions play an essential role in shaping risk management strategies to address risks and uncertainties. Contract farming is considered as one of the feasible approaches to tackle farmers' concerns. However, risk perspectives under various categories have not been included in studies on farmers' preferences for contract farming in the literature, especially in Vietnam. This study aims to determine factors affecting farmers' choices of different contract farming practices.

The explanatory factor analysis (EFA) and multinomial logit model (MNL) were applied to explore the impacts of risk perspectives on farmers' preferences for contract farming. Data have been collected from 211 rice farmers in An Giang Province, “the rice bowl” of the Mekong Delta, Vietnam.

The study found that farm size, cooperatives, extension, market access and trust have significantly impacted on contract participation while a delay payment was a barrier for farmers' motivation to opt for the contract. Farmers' contract choices were also influenced by their risk attitudes and perceptions under different risk dimensions. The financial, policy and human risk-averse behavior predisposed farmers to single out the full contract while the policy and human risk-loving and production, market and finance risk-averse respondents were in favor of the marketing contract. Moreover, the findings indicated that the more farmers concerned about risk of weather and market, the more choices for the full contract, whereas the risk perceptions of weather and policy encouraged farmers to use the limited contract. By contrast, farmers who perceived the impacts of risk of diseases/pests and human were likely to adopt the marketing contract.

This study just focuses on collecting data from farmers’ perspective. Future studies involving stakeholders such as enterprises and policy makers are strongly recommended so as to design suitable contracts and enforce contract schemes effectively in Vietnam.

The findings also contribute to the literature on different types of contracts and the multidimensional aspect of risk for rice production in Vietnam.

The purpose of this paper is to examine the effects of share repurchase announcements on the stock price of rival firms in the same industry in Vietnam during 2010–2017.

Both event study and t-test are employed to test the effects of share repurchase announcements on rival firms. In addition, cross-sectional analysis by ordinary least square regression is also applied for investigating the heterogeneous effects due to information transfer.

The finding shows that stock repurchase announcements result in a positive and significant valuation effect for both announcing firms and rival firms in Vietnam. Furthermore, the degree of signal to the industry is conditional on the degree of signal about the announcing firms as a contagious effect. Intra-industry effects are more favorable when profit performance of rival firms is good and when leverage of rival firms is low.

Rival firms can seize opportunities surrounding share repurchase announcements in the same industry in Vietnam. However, due to firm characteristics, intra-industry effects of stock repurchases differ among industries.

By examining different methods, the paper attributes valuable results to investigate the stock price behavior of rival firms in the same industry when firms announce stock repurchase in Vietnam.