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Free guided walking tours are one of the most successful tourism segments in the digital platform economy. It is beginning to be associated with negative impacts in some of the destinations where it is spreading rapidly. Although the platform economy is generating increasing academic interest, the free tour model remains largely unexplored area in the literature. This study aims to examine how such activity affects cultural destinations.

Focussing on the largest Free Tours platform operating in Spain, GuruWalk, the methodology used analyses its impact in six cultural destinations on two of the sustainability dimensions: the territorial dimension and the governance, through an exploratory study.

The findings help to understand the differences that such activity generates in each destination depending on the phase of its life cycle, and to implement, if necessary, corrective measures. The research confirms that the impacts differ according to the tourist destination’s maturity, concluding that such activity contributes to the increase of tourist agglomerations and the overcrowding of cultural destinations in their middle and mature life cycles. The findings highlighted the importance of the role of local governance on free tour activity.

The main contribution is the association of the impacts they produce (especially in terms of massification) with destination life cycle phases. There were no similar precedents with a spatial or territorial analysis to reliably demonstrate not only that this activity has an impact on the territory but also what type of impact is produced.

The Internet has encouraged rural tourism experience providers to develop a new management strategy that opts for disintermediation to access the market. In this context, incoming travel agencies (destination management companies [DMCs]), despite the local component, lose capacity to promote the rural tourism. The main question is what kind of relationship between stakeholders would enhance effective intermediation processes between them. The paper examines such constraints and limitations of existing relationships between small local rural tourism producers and DMCs.

Using the Basque Country region of northern Spain as a case study, the authors used a mixed qualitative and quantitative methodology based on semi-structured in-depth interviews and an online survey. The data analysis strategy used incorporated descriptive and exploratory factor analysis (EFA).

In this research, most of the tourism disintermediation factors identified in previous literature were reinforced when tested in the rural context. The results confirm that power, value, product differentiation, digitisation and stakeholder collaboration are key elements. The value provided in the international segment by DMCs, though, was found to be irrelevant.

This article contributes to filling a gap in the literature on rural tourism destination management from a holistic view of the destination understanding the business-to-business (B2B) relationship among stakeholders in rural tourism. This paper focuses on those elements that create value for local producers to sell the products through intermediaries and provides a framework for understanding the factors involved in value creation in rural tourism intermediation, which is applicable to further empirical studies and provides interesting managerial implications.

The purpose of this study is to examine how foreign firms consider natural disaster risk in subsequent investment decisions in a host country and whether different location portfolios can serve to mitigate investment risk.

The author sample includes data on 437 Fortune Global 500 firms and their initial entry into Chinese provinces between 1955 and 2008.

Using a fixed effects logit model of discrete time event history analysis, results show that geographic proximity to same multinational corporation (MNC) subsidiaries and different MNC subsidiaries from the same home country mitigates the negative effect of natural disasters on MNC entry into an affected province, while geographic proximity to other MNC subsidiaries from different home countries does not.

The knowledge needed to respond to severe disasters appears to be highly context-specific and shared only between firms with a high degree of commonality and trust.

The purpose of this paper is to analyze patterns and trends of articles that present the use of structural equation modeling (SEM) and that were published in several Brazilian journals. In addition, this paper maps the institutions where the authors of the identified articles are affiliated, and discusses aspects of searching the articles in journals’ archives and other scientific databases.

The work used bibliometrics, which is one of the forms of evaluation and measurement of information flows in scientific knowledge, using mathematical and statistical methods.

The study showed an exponential growth in using SEM in several areas in recent years, with predominance in marketing. Most of the publications were produced by authors from institutions such as USP, FGV and UFRGS, but most authors published only one article using SEM. Almost all published articles used one of the three most common software, especially AMOS®. Surprisingly, many articles did not mention the software used, indicating methodological flaw.

Weaknesses were found regarding the search for articles in the different sources used, indicating that, for literature reviews, the research should be conducted in several databases in a complementary way and not alternatively. This fact becomes critical especially when expressions in languages other than Portuguese were used. This situation suggests an aggravating lack of visibility for the Brazilian scientific community since the articles are less likely to be found.

The paper shows that among the various techniques of multivariate data analysis used in the field of administration, SEM has gained prominence being operationalized using specific software.

The purpose of this study is to evaluate whether the perceptions of cleanliness and organization of the point of sale, hygiene and training of those who serve the public (service) and healthiness of the products, constitute a base for the perception of the quality of food sold in the street. Studies about development of street food trade have gained relevance in academic debate because of its social and economic significance. Usually, aspects related to sanitary issues are presented, and the factors that influence consumer perception regarding quality of food consumed are less explored. This was the focus of this work. The relationships among possible predecessors – attendance, cleanliness, organization and healthiness – were tested, all acting together, influencing the variable perception of product quality. Competitive models were tested because of theoretical divergences regarding the relationship between quality and healthiness, not yet totally clear in the literature.

A quantitative survey was carried out in the city of Diadema (SP, Brazil), getting 603 respondents, with data and theoretical models analyzed by structural equation modeling.

Results indicated that organization variable is not significant regarding perception of product quality, while attendance and healthiness directly affect this perception. On the other hand, cleanliness influences perceived healthiness and this, in turn, reinforces perception of product quality.

The focus of street food traders should be on clerk cleanliness and politeness (characteristics related to the service) that end up influencing the perception that the consumer develops regarding healthiness (characteristic related to product quality).

Usually research studies on this theme include only aspects related to sanitary and safety issues, and those which focus on consumer perception of food quality cover conventional outlets such as bars and restaurants. There are few ones performed as in this study that analyze street food consumer behavior regarding his/her perception of quality, cleanliness, care received, among others.

Purpose — New methods of measuring user satisfaction in transport services have been proposed and applied in the literature. In this paper, we compare three alternative measures for estimating user satisfaction: the numerical rating, the ordinal rating and the choice.

Approach — We analysed these measures considering their differences and limitations and the models that use these measures as dependent variables. We developed and applied a methodology to build these models. It comprises a preliminary qualitative analysis and a quantitative survey to identify the most relevant attributes of the satisfaction function, and a stated preference survey to obtain information of the alternative satisfaction measures for modelling purpose.

Findings — The ordinal rating may be a better user response to estimate satisfaction than score and choice based on its characteristics. The results obtained in the application reinforced this approach.

Research limitations — It is assumed that choice, score and ordinal valuation depend upon a latent stochastic satisfaction function of the same attributes. Further research is needed to analyse this assumption and how these responses vary according to the context for decision and exogenous factors, including the response scale of ratings.

Practical implications — Gathering alternative satisfaction responses simultaneously from users allowed for the consistency analysis and filtering of data, which greatly benefited the model estimation process.

Originality/value — The paper provides a methodology to estimate user satisfaction models in transit services, which can be applied in other transport services. The conceptual analysis and the application suggest that ordinal ratings are key user responses to uncover the underlying satisfaction function.

This study seeks to compare and contrast the contexts and processes of the formation and development of small and medium enterprises (SMEs) in Brazil and Mexico. Additionally, a research agenda is defined based on information generated by various sources regarding the initial stages of enterprise formation.

This research paper uses data collected from a 2002 study conducted by the Inter‐American Development Bank, along with institutional reports and academic literature, in order to perform a comparative analysis on the gestation and early development of SMEs in Brazil and Mexico.

This analysis of prior research studies indicates that emerging economies like Brazil and Mexico face enormous social and economic challenges that have in turn slowed down the efficiency and effectiveness of SME support programs. In addition, the differences found in the institutional, socio‐cultural, and economic context of Brazil and Mexico reveal that governments and entrepreneurs face the challenge of sustaining the existence of SMEs.

Since, there was no access to raw data and no statistical procedures could be conducted, the significance of the differences between SMEs in Brazil and Mexico discussed in this paper is perceptual. Future research resulting from this paper shall develop theories that would help to create effective SME support programs, identify how particularities in every country affect SME formation, development, and survival, and explore issues faced in the growth, maturity, and mortality stages of SMEs.

SMEs are extremely important to the economies of both Brazil and Mexico. However, an understanding of the micro and macro issues faced by these countries is very limited. This research paper identifies and analyzes such issues in order to specifically make way for future empirical research.

Purpose – The paper addresses the MNCs’ sensitivity to corruption which varies across economic sectors depending on the interaction between sectoral characteristics and home-country formal institutions’ strength.

Design/methodology/approach – A theoretical framework is proposed based on the economic sector and host-country's institutional factors. The framework is empirically tested using 245 cross-border FDI valuations. Given that the energy sector is representative of high levels of industry concentration and government involvement – the sectoral characteristics considered to be moderating the relationship between corruption and FDI – the focus of the paper is on the energy sector. The study also tests the moderating effect of corruption distance.

Findings – The results indicate a lack of evidence that MNCs are deterred by corruption when investing in the energy sector of emerging and developing economies.

Research limitations/implications – The study provides a starting-point for further research of how economic sector characteristics can moderate the relationship between corruption and FDI. A key practical implication is that international anti-corruption measures are likely to be insufficient for some economic sectors.

Originality/value – The paper has proven to be of interest to the US State Department for studying the effectiveness of the international foreign bribery laws, such as the Foreign Corrupt Practices Act. The framework can assist in identifying economic sectors likely to be resistant to comply with the foreign bribery laws when conditions of weak host-country formal institutions are present. The study challenges and complements the prevailing theory that host-country corruption has a negative effect on inward FDI.