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This study aims to identify various factors that have driven the knowledge transfer process for succession purposes in family business since the 1920s and discuss their implications for advancing effective succession planning in this business sector for the next 100 years.

The paper reviews and synthesizes current research on knowledge transfer drivers in family business from 1923 to 2023 and draws out future perspectives on what will influence the knowledge-transferring process in the next 100 years.

Trust, organizational culture and environmental factors such as the need to create competitive advantages, technological advancement and new sources of knowledge have been identified as the most prominent drivers of knowledge transfer for effective succession in family business throughout the 1920–2020s. In the future, the ability to create value, the internationalization process and business innovations will play an essential role in knowledge-sharing among family and non-family members during succession.

The paper provides a review of past development and a future perspective on factors enhancing the effectiveness of knowledge transfer for succession in family firms.

The paper aims to provide an efficient dispatching schedule for ready-mix concrete (RMC) trucks and create a balance between batch plants and construction sites.

The paper focused on developing a new metaheuristic swarm intelligence algorithm using Java code. The paper used statistical criterion: mean, standard deviation, running time to verify the effectiveness of the proposed optimization method and compared its derivatives with other algorithms, such as genetic algorithm (GA), Tabu search (TS), bee colony optimization (BCO), ant lion optimizer (ALO), grey wolf optimizer (GWO), dragonfly algorithm (DA) and particle swarm optimization (PSO).

The paper proved that integrating GWO and DA yields better results than independent algorithms and some selected algorithms in the literature. It also suggests that multi-independent batch plants could effectively cooperate in a system to deliver RMC to various construction sites.

The paper provides a compelling new hybrid swarm intelligence algorithm and a model allowing multi-independent batch plants to work in a system to deliver RMC. It fulfills an identified need to study how batch plant managers can expand their dispatching network, increase their competitiveness and improve their supply chain operations.

This paper aims to examine the management status quo of archaeological heritage in Vietnam seen in the case of Vuon Chuoi, a complex of Bronze Age sites located in Central Hanoi, which has been believed to be Hanoi’s first human settlement. Like other archaeological sites located in urban areas, this site has been under threat of destruction caused by land encroachment pressure. Although researchers have long waged a campaign for preservation, the dissensus among key stakeholders and the dispute over responsibility have left this site at the heart of an interminable polemic over legislation.

This research utilises a qualitative approach, and the primary data were collected throughout multiple field trips in 2019 and 2020. Several open-ended interviews were conducted with various state and nonstate actors involved in the Vuon Chuoi Complex’s management process. The discussion was also supported by analysing related legal documents retrieved from national archives and official online directories.

This paper dissects the current legislative and administrative framework applied in governing heritage in general and archaeological sites in Vietnam, in particular. The results indicate that existing flaws in Vietnam’s legal system are detectable, and the unsystematic organisation has led to deferment of the decision-making processes. Also, there is an apparent difference found in the attitude of the bodies in charge toward the treatment of listed and unlisted sites.

This research outlines that in the wake of urbanisation and industrialisation in Vietnam, a consensus among key stakeholders and an inclusive legal system are required to help preserve archaeological sites in urgent need of attention. Although several Vietnamese laws and regulations have been put into practice, they have shown critical barriers and gaps in conserving Vietnamese cultural heritage.

This study investigates the optimum size for manufacturing firms and the impact of subcontracting on firms' likelihood of achieving their optimal scale in Vietnam.

Using data from the enterprise census in 2017 and 2021, the paper first estimates the production function to identify the optimum firm size for manufacturing firms and then, applies the logit model to investigate factors associated with the optimal firm size.

The study reveals that medium-sized firms exhibit the highest level of productivity. Nevertheless, a consistent trend emerges, indicating that nearly 90% of manufacturing firms in Vietnam operated below their optimal scale in both 2017 and 2021. An analysis of the impact of subcontracting on firms' likelihood to achieve their optimal scale emphasizes its crucial role, especially for foreign firms, exerting an influence nearly five times greater than that of the judiciary system.

The paper's findings offer crucial policy implications, suggesting that initiatives aimed at enhancing the overall productivity of the manufacturing sector should prioritise facilitating contract arrangements to encourage firms to reach their optimal size. These insights are also valuable for other countries with comparable firm size distributions.

This paper provides the first empirical evidence on the relationship between firm size and productivity as well as the role of subcontracting in firms' ability to reach their optimal scale in a country with a right-skewed distribution of firm sizes.

Dehydrated bacterial cellulose’s (BC) intrinsic rigidity constrains applicability across textiles, leather, health care and other sectors. This study aims to yield a novel BC modification method using glycerol and succinic acid with catalyst and heat, applied via an industrially scalable padding method to tackle BC’s stiffness drawbacks and enhance BC properties.

Fabric-like BC is generated via mechanical dehydration and then finished by using padding method with glycerol, succinic acid, catalyst and heat. Comprehensive material characterizations, including international testing standards for stiffness, bending properties (cantilever method), tensile properties, moisture vapor transmission rate, moisture content and regain, washing, thermal gravimetric analysis, derivative thermogravimetry, Fourier-transform infrared spectroscopy and colorimetric measurement, are used.

The combination of BC/glycerol/succinic acid dramatically enhanced porous structure, elongation (27.40 ± 6.39%), flexibility (flexural rigidity of 21.46 ± 4.01 µN m; bending modulus of 97.45 ± 18.20 MPa) and moisture management (moisture vapor transmission rate of 961.07 ± 86.16 g/m²/24 h; moisture content of 27.43 ± 2.50%; and moisture regain of 37.94 ± 4.73%). This softening process modified the thermal stability of BC. Besides, this study alleviated the drawbacks for washing (five cycles) of BC and glycerol caused by the ineffective affinity between glycerol and cellulose by adding succinic acid with catalyst and heat.

The study yields an effective padding process for BC softening and a unique modified BC to contribute added value to textile and leather industries as a sustainable alternative to existing materials and a premise for future research on BC functionalization by using doable technologies in mass production as padding.

This study investigates the moderating effect of eco-destination image on the relationships between travel motivations and ecotourism intention.

The study employs the convenience sampling method to develop a research sample, and the multivariate data analysis method to analyse the data of 435 valid observations collected in the structured questionnaire survey conducted in Vietnam.

The paper reports that the eco-destination image significantly strengthens the effects of four travel motives (i.e. excitement, escape, knowledge-seeking and self-development) on ecotourism intention. However, the moderating impact of eco-destination image on the link between socialising motive and ecotourism intention is insignificant.

This study is the first to shed light on the role of eco-destination image in strengthening the effects of travel motivations on ecotourism demand. The study provides a framework for segmenting promotion materials associated with destination image based on different types of customers' internal travel motivations. The framework includes four dimensions: (1) destination image reflecting enablers of excitement, (2) destination image reflecting enablers of escaping from daily life routine, (3) destination image reflecting enablers of knowledge-seeking and (4) destination image reflecting enablers of personal development.

This study aims to use 67 developing countries to examine the role of financial inclusion as an “empowering tool” for renewable energy uptake and to improve environmental sustainability in developing countries.

Using a battery of econometric models, including the generalized method of moment-panel vector autoregression (GMM-PVAR), impulse response function, Granger causality, fully modified ordinary least squares and dynamic ordinary least squares, the study proposed and tested three hypotheses.

The results from various estimations indicate that financial inclusion has a positive effect on renewable energy consumption and environmental sustainability improvement in developing countries. The findings suggest that financial inclusion can improve environmental sustainability by increasing access to financing to fund renewable energy projects, support sustainable businesses and promote sustainable practices.

This study suggests that policymakers prioritize financial inclusion to promote renewable energy consumption and environmental sustainability. Policies should enhance access to financial services, offer financial incentives and subsidies, provide affordable loans through microfinance institutions and fintech companies and promote sustainable businesses and green technologies.