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The purpose of this study is to make an exploratory analysis of the impact of the entrepreneurial ecosystem (EE) as defined by Acs et al. (2014) on opportunity-driven senior entrepreneurial activity in Latin America.

The research uses data from the Global Entrepreneurship Monitor and the Global Entrepreneurship and Development Institute of five Latin America countries (Argentina, Brazil, Chile, Colombia and Mexico), providing a total of 15,019 observations of people that are 50+ years old, between the years 2013 and 2017. A multi-level logistic regression model was used to estimate the relation between the total entrepreneurial activity by opportunity of seniors and some EE indicators. A total of three equations were estimated on the data set described.

This research confirms the relevance of some elements of EE on senior entrepreneurship in Latin America. Entrepreneurial attitudes have a positive relationship with senior entrepreneurs, generating higher levels of entrepreneurial ventures. The combination of institutions that support these attitudes on the EE enhances senior entrepreneurial activity. It also demonstrates that a higher level of entrepreneurial education at postschool stages is relevant to increasing senior entrepreneurial activity.

This research makes some interesting contributions in the field of measuring the impact of EE on senior entrepreneurship by opportunity in developing countries, filling a literature gap. It allows us to glimpse some measures that policymakers could take to improve the entrepreneurial activity of this segment in the region, such as implementing programs that facilitate networking opportunities and mentorship, along with providing training in business and financial literacy.

The purpose of this study is to analyze the influence of social capital on human capital; the effect of social capital on transaction costs; the influence of social capital, human capital and transaction costs on empowerment; the indirect effect of social capital on empowerment through human capital; and the indirect effect of social capital on empowerment through transaction costs in Bangli Regency.

The population in this research is all wood carving business in Bangli Regency, in all districts some 366 business units. The number of respondents surveyed were 191 business units in all sub-districts. The sampling technique used is stratified random sampling, with strata of business area. Inferential analysis is preceded by using factor analysis techniques to obtain factor scores on each latent variable, followed by path analysis to answer the research objectives.

Based on the analysis, the following conclusions are drawn: social capital has a positive and significant impact on human resources; positive social capital and significant positive to transaction costs; social capital and human resources have a positive and significant effect while transaction costs and no significant positive effect on empowerment; human resources partially mediate the influence of social capital on empowerment; and transaction costs do not act as a variable, mediating the influence of social capital on empowering small woodcraft industry in Bangli Regency.

This study is one of the few to investigate the role of social capital, human capital and transaction cost on empowerment of small industries, especially wood carving in Bangli District. This small woodcraft industry is famous for its uniqueness that characterizes Balinese carving ornaments. But lately, the productivity of handicrafts wood carving, especially in Bangli District, fluctuates tend to decline. Social capital, in addition to human capital and technology, also plays an important role in the production process. Social capital equals other physical capital and can increase productivity and economic efficiency. Higher social capital owned by individuals or groups can reduce transaction costs; thus economic activity can run efficiently. Social capital is the information, trust and norms of reciprocity inherent in social networks.

This paper attempts to examine drivers of tourism development by affording a framework that sustains economic growth and protects the local environment. It develops evaluative and predictive models to measure city performance. Further, a strategy-based model of low carbon cities (SMLC) is used to demonstrate possible tourism development scenarios. The model was applied to the city of Surakarta to operationalize city's transformation towards sustainability.

The research methodology is constructed on three interrelated components: theoretical framework, analytical methods and SWOT. First, the authors have initiated this study by an understanding of linkages between planning and tourism. Second, the SMLC has been used to test sustainable tourism in the city of Surakarta. Third, Strength-Weakness-Opportunity-Threat (SWOT) analysis was applied to formulize the recommendations.

When evaluated by the static SMLC model, the city of Surakarta was categorized as an unsustainable touristic city. However, when the dynamic SMLC was applied, the city of Surakarta was categorized as a sustainable touristic city under a high economy scenario. By reason of the methodological and analytical frameworks and the dynamic SMLC, the city of Surakarta could be promoted to a sustainable touristic city after applying opportunity-seeking strategy and policies.

The paper concludes with policy implications to realign city plan and support sustainable tourism development in the city of Surakarta.

This paper attempts to develop a framework for sustainable tourism as it operates in the city of Surakarta by (1) introducing the sustainable touristic city concept, (2) definition and characters, (3) evaluative and predictive models using the SMLC to measure city performance of the city of Surakarta and (4) rigorous and relevant insight into the magnitude of the benefits of tourism.

This research aims to examine the role of knowledge sharing (KS) as mediation in the relationship between transactional leadership (TSL) and organizational creativity (OC) among construction workers in Jakarta.

The population in this research was the construction workers working in Jakarta. The sample used in this research consisted of 210 respondents. The validity of the hypothesis model was analyzed using the structural equation modeling–partial least squares (SEM-PLS) approach with the help of SmartPLS 3.2.8.

TSL affects KS and OC. Another most important thing is that KS acts as a partial mediator for the relationship of TSL to OC.

Originality in this research is the use of variable KS to mediate the relationship between TSL and OC in the research conducted in the scope of construction in Jakarta. Other theoretical implications for TSL are added by this research. This research has never been conducted in the construction sector in Jakarta, Indonesia.

This paper aims to present the internalization process by which Venezuelan migrants and refugees are resettled. Using system dynamics, the authors model a Brazilian humanitarian operation (“Acolhida” – Welcome), simulate the internalization process, propose policies and provide lessons learned for future migratory operations.

Using system dynamics simulation, the authors use Acolhida Operation’s historical data to recreate the reception and resettlement process of Venezuelan migrants and refugees. The authors identify the main bottlenecks in the system and propose policies to respond to scenarios according to the number of internalization vacancies, that is, available places in Brazil where migrants and refugees can be resettled. Finally, based on interviews with former decision-makers, the model represents a first attempt to convert the pressure of public opinion on authorities into temporary shelters as a way of reducing the number of unassisted people.

The results confirm that internalization vacancies are the main constraint when resettling Venezuelan migrants and refugees. Had the internalization program been promoted since the operation’s beginning, there would have been fewer unassisted people in Roraima and fewer shelters. The pressure-converting mechanism presented in this study, although incipient, constitutes a first attempt to support decision-makers in determining when to build temporary shelters.

This study can be useful to public authorities and humanitarian organizations when developing policies to enhance resettlement in migratory crises. In Acolhida’s case, the internalization program should continue to be the operation’s priority and can be enhanced by investing more resources to create internalization vacancies while maintaining logistical capacities.

The authors suggest policies to improve the Acolhida internalization program: give more people the choice to relocate in other cities, increase turnover in shelters and provide a more efficient and effective response to Venezuelan migration in Roraima.

Although a number of studies have applied system dynamics to humanitarian operations, few models have focused on migratory emergencies, such as those occurring in northern Brazil. The model is applied to the largest humanitarian operation carried out in the Brazilian territory and provides decision-makers with valuable insights and alternatives for better implementation in the future. Furthermore, this study narrows the gap between the social sciences and modeling and simulation techniques by proposing ways of predicting migratory implications in the construction of shelters and resettlement policies.