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Creating a new product or service promotes the status quo changes, seeking economic value and solving customer's urgent problems. Entrepreneurs play an important role in this changing process through start-ups and small and medium enterprises (SMEs), considered one of the leading forces driving an economy’s innovative and competitive power. However, despite the importance of entrepreneurs, public policies to foster entrepreneurship ecosystems could be ineffective in emerging countries. Therefore, action research proposes the qualification of entrepreneurs for the structuring of new businesses through remote orientation, connecting the country's main economic centers to emerging areas.

The study is qualitative research comprising two phases. The first phase consisted of four-month action research, connecting two researchers and three groups of specialists (from Sao Paulo), with three groups of entrepreneurs (located in Manaus in the Amazon region), through a remote orientation in entrepreneurship, lean start-up, lean product and process development (LPPD). The second phase, conducted by a third researcher, regards a case study grounded on interviews and data collection with the entrepreneurs to capture the outcomes of the remote orientation process.

The remote orientation helped shorten the geographical distance of Amazonas to approach the integration of business, research and knowledge exchange of such distinct areas in the same country. If a remote orientation program was established as public policy, it could enact subsequent cycles of the lean start-up model. Furthermore, the remote orientation could be an alternative to compose the training subsystem in the entrepreneurship ecosystem proposed by Isenberg (2011). On the other hand, a remote orientation could fail to shorten the distance of human values and beliefs, which cannot be neglected when facing a rich territory like the Amazon.

Because of the chosen research approach, a qualitative and exploratory study based on a combination of action research, interviews and case studies, the results may lack generalizability. However, further studies can replicate the remote orientation process conducted in the region of Manaus – Amazon, to obtain distinct results regarding the advantages, disadvantages and effectiveness of remote orientation as entrepreneurship ecosystem’s human capital dimension development.

The outcomes of this research have the potential to start discussions regarding the adoption of remote orientation as a public policy to develop entrepreneurship skills in emerging regions, not only in Brazil but worldwide. The Brazilian case could be a relevant benchmark due to the large territory and economic and social disparities impacting education and entrepreneurship.

Through start-ups and SMEs, entrepreneurship has innovation potential and is the most solid way to bring economic development. For emerging countries, it can be real game-changer in the economic order. The development of entrepreneurship skills through this remote orientation experience can help reduce the economic and social gaps in countries with relevant disparities like Brazil and other emerging countries.

This paper fulfills an identified need to “move the needle of entrepreneurship in the right direction” (Isenberg, 2010) by creating local solutions for global challenges. Policymakers and leaders need to continue the experiment and learn how to improve the entrepreneurship ecosystem. In this sense, the action research approach, combined with the remote orientation, proposes an alternative to promote changes in how human capital dimension can be developed in this challenging ecosystem.

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.

This study aims to analyze the phenomenon of entrepreneurial spawning in the new context of software startups, revisiting theory and identifying patterns within the emergence of startups/spin-offs in Brazil.

A study of two cases of startups recognized for generating several spin-offs founded by former employees. The authors based the data collection on the following triangulation: 11 in-depth interviews, systematic analysis of 33 resumes from entrepreneurs in spawned firms and document analysis.

Six skills developed in startups were identified: (1) structuring a company, (2) people management, (3) strategic/operational planning, (4) commercial/sales, (5) product development, and (6) behavioral traits. In addition, points of contradiction concerning the literature were found, such as the absence of the location effect, different professional experiences and new local agents to support startups.

The present study covers only two cases in the context of software startups, which requires caution and discretion in extrapolating to other contexts.

The understanding of the phenomenon may reflect in: university programs focused on internships in startups, corporate training programs for entrepreneurs and the design of public policies based on entrepreneurial spawning.

The present study stands out for its access to data from high-impact startups in Brazil, in addition to revisiting the literature bringing a new perspective to the specificities of high-growth software companies.

This paper aims to address which resources provided by an entrepreneurial ecosystem (EE) are necessary for deep technology entrepreneurship.

The authors used a novel approach known as necessary condition analysis (NCA) to data on EEs and deep-tech startups from 132 countries, collected in a global innovation index and Crunchbase data sets. The NCA makes it possible to identify whether an EEs resource is a necessary condition that enables entrepreneurship.

Necessary conditions are related to political and business environment; education, research and development; general infrastructure; credit; trade; diversification and market size; and knowledge absorption capacity.

The results show that business and political environments are the most necessary conditions to drive deep-tech entrepreneurship.

Policymakers could prioritize conditions that maximize entrepreneurial output levels rather than focusing on less necessary elements.

Some resources require less performance than others. So, policymakers should consider allocating policy efforts to strengthen resources that maximize output levels.

Studies on deep-tech entrepreneurship are scarce. This study provides a bottleneck analysis that can guide the formulation of policies to support deep-tech entrepreneurship, as it allows to identify priority areas for resource allocation.

The purpose of this paper is to analyze the process of why a Brazilian digital startup company reached unicorn status the fastest.

After the literature review, the authors conducted the questionnaire containing 13 questions used in 18 in-depth interviews conducted in the case study. Saturation point combined with the independent and in-depth analysis of the researchers is used to achieve internal and external validity. The primary data collected underwent an analytical approach, followed by a resource-based view (RBV). RBV does not deal with time. There is a gap in the literature and an opportunity here: to analyze the fastest company to become a unicorn under the RBV lens.

The case reveals that value can be found in traditional sectors, as is the case of the real estate sector. This is a case of a company in the direct home-buying space.

The contribution of this paper is both practical, with the seven lessons, and theoretical. Resources allocated to a specific context in a specific geographic region shift the attention away from the absolute value of resources to the timing of aggregating them. Thus, the contribution accounting for time is new to the RBV.

The originality lies in the analysis of the dynamics of digital businesses with exponential growth.

The purpose of this paper is to identify the critical success factors of emblematic hotels from the perspective of the guest, by analysing the direct activities that make up the value chain of these types of establishments.

The authors use the case study methodology to derive conclusions that contribute to the development of a theory about the success factors of emblematic hotels. The case selected is the Spanish Tourist Parador chain. The authors carried out over a period of two years a data mining analysis of the online comments posted by its guests.

The results indicate that the attributes of location and facilities are critical success factors expected a priori given the nature of the business of such establishments, based on the singular nature of the buildings. Another critical success factor is personnel, which seems to indicate that the Paradors support their business model by employing highly qualified staff, but give less attention to restaurant services or the room, according to guest perceptions.

The paper provides required evidence on the critical success factors of emblematic hotels adapting Porter’s value chain, for the tourism accommodation sector, through the analysis of direct value chain activities. In addition, the existing literature is broadened by taking a perspective scarcely studied, the guest perception of hotel establishments, online content posted by the user on the establishment’s website, rather than simply considering the traditional views of the experts/managers, through structures questionnaires. Besides, the results provide practical and useful implications for the managements of the emblematic hotels under study.

The notion of deeper experiences of Hindu devotees inspired by divine images and sacred places has roots in the historical past, going back to the Vedic period (ca. 2500 BCE), where we find rich literature on performances, rituals and merits of pilgrimages. Considered the bridge between human beings and divinities, the experiences received are the resultant ‘blissful fruit’ (phala) that helps the spiritual healing of pilgrims through awakening conscience and understanding the manifested meanings, symbolism, purposes and gains. This system can be viewed concerning the ‘texts’ (the mythology, ancient text and related narratives) and the ‘context’ (contemporality and living tradition). These rules and performances have regional perspectives of distinctions, but they also carry the sense of universality, i.e. locality (sthānic) and universality (sarvavyāpika) interfaces. The devout Hindus reflect their experiences in conception, perception, reception and co-sharedness – altogether making the wholistic network of belief systems, i.e. the religious wholes in Hindu society. This chapter deals with four aspects: the historical and cultural contexts, the meanings and merits received, the motives and the journey and interfacing experiences. The study is based on the experiential and questionnaire-based exposition and interviews of pilgrims at nine holy places during 2015–2019 on various festive occasions and is illustrated with ancient texts and treatises. The sacred cities included are Prayagraj, Varanasi, Gaya, Ayodhya, Vindhyachal, Ganga Sagar, Chitrakut, Mathura Vrindavana and Bodh Gaya.

Nearly 75% of EU buildings are not energy-efficient enough to meet the international climate goals, which triggers the need to develop sustainable construction techniques with high degree of resilience against climate change. In this context, a promising construction technique is represented by ventilated façades (VFs). This paper aims to propose three different VFs and the authors define a novel machine learning-based approach to evaluate and predict their energy performance under different boundary conditions, without the need for expensive on-site experimentations

The approach is based on the use of machine learning algorithms for the evaluation of different VF configurations and allows for the prediction of the temperatures in the cavities and of the heat fluxes. The authors trained different regression algorithms and obtained low prediction errors, in particular for temperatures. The authors used such models to simulate the thermo-physical behavior of the VFs and determined the most energy-efficient design variant.

The authors found that regression trees allow for an accurate simulation of the thermal behavior of VFs. The authors also studied feature weights to determine the most relevant thermo-physical parameters. Finally, the authors determined the best design variant and the optimal air velocity in the cavity.

This study is unique in four main aspects: the thermo-dynamic analysis is performed under different thermal masses, positions of the cavity and geometries; the VFs are mated with a controlled ventilation system, used to parameterize the thermodynamic behavior under stepwise variations of the air inflow; temperatures and heat fluxes are predicted through machine learning models; the best configuration is determined through simulations, with no onerous in situ experimentations needed.

Hotels are immersed in a very competitive environment and hoteliers have to plan and redesign their strategies to stay in the hospitality industry while faced with a steady rise in competition. Hoteliers can employ horizontal differentiation strategies and pricing decisions to gain a competitive advantage over their competitors. The goal of our work is to analyse the effect of pricing and horizontal differentiation strategy of a hotel on its online reputation and to analyse if the hotel location and agglomeration of competitors moderates their relationship with online reputation.

With a sample of 264 hotels from Paris, an empirical study is developed that aims to analyse, using regression techniques, the impact of price, differentiation, location and competitive environment on online ratings given by consumers in the hospitality context.

The paper provides empirical evidence of how a good location improves the online reputation of a company and how pricing strategies should take into account the location and number of competitors since a good location allows premium prices to be valued positively by consumers while an inappropriate location can produce the opposite effect. Depending on location, the number of competitors can intensify or reduce the effect of price on online reputation. Finally, online reputation only benefits from horizontal differentiation strategies when the degree of agglomeration is low.

This work provides insights about how hotels can strengthen their online reputation through pricing and differentiation strategies, incorporating elements of their environment such as location and competition in this decision-making process.

酒店處於一個競爭非常激烈的經營環境中，營運者要面對競爭日益加劇的挑戰，在這情況下，他們必須計劃並重新設計其策略，以在酒店服務業中仍能繼續其業務。營運者可採用水平分化策略和定價決策，以取得比同業更大的競爭優勢。本研究旨在分析，若酒店採用價格及水平差異之策略，這對它們的網上聲譽會起什麽效應；研究亦探討酒店所處的位置及競爭者的凝聚會否減弱其與網上聲譽的關係。

研究樣本為來自巴黎264間酒店。研究人員採用實驗研究法，透過迴歸分析法，去分析在酒店服務的背景下，價格、差異化、地點和競爭環境如何影響消費者所給予的網上評分。

本文提供了經驗性證據，證明良好的地點會改善公司的網絡聲譽； 同時，亦證明釐定價格策略時，經營者應考慮競爭者的位置和數目，這是因為良好的地點會讓消費者正面評價溢價，而不合適的地點則會導致相反的效應。根據所在的地點，消費者的數目能增強或減弱價格對網絡聲譽的影響。最後，本文也證明了網絡聲譽只會在凝聚程度低的情況下才會受惠於水平分化策略。

本研究提供啟示，使我們更明瞭酒店如何能透過價格及差異化策略，同時亦透過把它們的環境元素如地點和競爭等納入決策程序中，來強化網絡聲譽。