Evolution of indigenous tourism among the Lacandon of Chiapas: an application of Weaver’s model

ABSTRACT

In this paper, Weaver’s six-stage indigenous tourism model is applied to the Lacandon Maya (Hach Winik) of Chiapas, Mexico. Based on a comprehensive review of the anthropological and historical literature on this indigenous group, combined with longitudinal ethnographic and collaborative research performed with tourism entrepreneurs, the Lacandon tourism experience is assessed from the pre-European period until present. By analysing a case study of indigenous tourism in Mexico, a developing country in another geographical region and with a different colonial past, this work supplements Weavers’ perspective. The results show that the fourth and fifth stages of Weaver’s model coincide in this case study, while the sixth stage is still incomplete. Although the Lacandon case has its peculiarities and bearing in mind that several different factors should be considered in the Latin American context, the model proves to be an interesting tool for indigenous tourism analysis in developing countries.     

Restoring balance: how consumers orchestrate family care following unplanned disruptions

ABSTRACT

How do consumers orchestrate multiple and complex practices of care when faced with unplanned disruptions to their lives, such as chronic health conditions? We conduct a qualitative study of families where a child was diagnosed with Type-1 diabetes. Inspired by a dance metaphor, we explain how families (1) gather materials for movement, (2) link movements into phrases, and (3) develop an orchestrated style of care as they sense and respond to the dynamic requirements of caregiving when faced with insufficient or unfeasible market solutions. Adding this new perspective to the managerial view used by prior consumer research on family care, we propose an extended perspective on care, which better accounts for how families search to restore life balance in challenging circumstances. This extended perspective illuminates new aspects of consumer engagement with paid and non-paid service providers, and opens avenues for future research in the domain of family care.     

Impression Management Tactics and Performance Ratings: A Moderated-Mediation Framework

Purpose: The objective of this study is to contribute to the sales management literature by analyzing whether self-monitoring dimensions (the ability to adjust the presentation of one’s self and the sensitivity to the expressive behaviors of others) play a moderating role in the use of impression management—supervisor liking—performance rating nomological network.

Methodology/approach: Empirical analysis is based on dyadic data from 122 industrial salespeople and their sales managers in 9 different industries. Structural equation modelling was used to analyze the psychometric proprieties of the measurement scales, and conditional process analysis was used to test the proposed hypotheses.

Research implications: The results obtained indicate that the use of supervisor-focused impression management tactics is an indirect antecedent of a salesperson’s performance rating through sales manager liking, but not the self-focused tactics. Results also show that a self-monitoring dimension i.e., the ability to adjust the presentation of one’s self, moderates the “impression management—supervisor liking—performance rating” chain. These results provide an increased understanding of the processes involved in sales managers—salespeople’s interactions.

Practical implications: The main implication for salespeople is that the use of impression management tactics to influence performance ratings only is effective when they use supervisor-focused tactics because attempts to influence via self-focused tactics will not have any effect. The most important implication for sales managers’ is that not all impression management tactics are successfully executed and that the identification of combinations of impression management tactics and the levels of salespeople’s self-monitoring can positively influence performance appraisals by generating evaluative biases. Given that evaluative biases can produce inequitable behaviors by sales managers in the task assignments and support provided to the salespeople, it is important that sales managers are aware of when they can occur (i.e., when salespeople with a moderate ability to adjust their self-presentation use supervisor-focused tactics).

Originality/value/contribution of the article: This article contributes to the existing knowledge by two important means. First, this study proposes a model and presents an empirical test of constructs that mediate (i.e., supervisor liking) and moderate (i.e., self-monitoring dimensions) the “use of impression management tactics—sales manager liking—performance appraisal” relation. This model responds to calls for studies that analyze how impression management tactics are related to performance appraisal and when the relation between the use of these tactics and performance rating occurs. Two, this study uses data from both salespeople and their sales managers, which minimizes any risk of common method variance bias.     

Markov-switching dynamic factor models in real time

We extend the Markov-switching dynamic factor model to account for some of the specificities of the day-to-day monitoring of economic developments from macroeconomic indicators, such as mixed sampling frequencies and ragged-edge data. First, we evaluate the theoretical gains of using data that are available promptly for computing probabilities of recession in real time. Second, we show how to estimate the model that deals with unbalanced panels of data and mixed frequencies, and examine the benefits of this extension through several Monte Carlo simulations. Finally, we assess its empirical reliability for the computation of real-time inferences of the US business cycle, and compare it with the alternative method of forecasting the probabilities of recession from balanced panels.     

Sparse Partial Least Squares in Time Series for Macroeconomic Forecasting

Factor models have been applied extensively for forecasting when high‐dimensional datasets are available. In this case, the number of variables can be very large. For instance, usual dynamic factor models in central banks handle over 100 variables. However, there is a growing body of literature indicating that more variables do not necessarily lead to estimated factors with lower uncertainty or better forecasting results. This paper investigates the usefulness of partial least squares techniques that take into account the variable to be forecast when reducing the dimension of the problem from a large number of variables to a smaller number of factors. We propose different approaches of dynamic sparse partial least squares as a means of improving forecast efficiency by simultaneously taking into account the variable forecast while forming an informative subset of predictors, instead of using all the available ones to extract the factors. We use the well‐known Stock and Watson database to check the forecasting performance of our approach. The proposed dynamic sparse models show good performance in improving efficiency compared to widely used factor methods in macroeconomic forecasting. Copyright © 2014 John Wiley & Sons, Ltd.     

Extracting Nonlinear Signals from Several Economic Indicators

We develop a twofold analysis of how the information provided by several economic indicators can be used in Markov switching dynamic factor models to identify the business cycle turning points. First, we compare the performance of a fully nonlinear multivariate specification (one‐step approach) with the ‘shortcut’ of using a linear factor model to obtain a coincident indicator, which is then used to compute the Markov switching probabilities (two‐step approach). Second, we examine the role of increasing the number of indicators. Our results suggest that one step is generally preferred to two steps, especially in the vicinity of turning points, although its gains diminish as the quality of the indicators increases. Additionally, we also obtain decreasing returns of adding more indicators with similar signal‐to‐noise ratios. Using the four constituent series of the Stock–Watson coincident index, we illustrate these results for US data. Copyright © 2014 John Wiley & Sons, Ltd.     

Automatically extracting tourism-related opinion from Chinese social media

Existing tourism-destination investigations of Chinese texts remain weak, and no approach is available to realize Chinese context semantically and automatically. To resolve this, we provide a novel method based on qualitative analysis for studying the online opinions of Chinese tourists regarding the destinations to which they travel. Both traditional and simplified Chinese forums were chosen as the object of study. Spain was selected as a travel destination to evaluate the proposed method. After processing the natural language, unstructured Chinese content is analysed to derive the general sentiment and relevant topics regarding the destination through user comments on social media. The proposed method allows us to understand what tourists are interested in and how they form opinions about tourist destinations.     

Public–private wage gap in Latin America (1992–2007): A matching approach

Using matching methods, we estimate the public–private wage gap for urban workers in eleven Latin American countries for the 1992–2007 period. These methods do not require any estimation of earnings equations and hence no validity-out-of-the-support assumptions; furthermore, this approach allows us to estimate not only the average wage gap but also its distribution. Our main findings indicate that the average public sector worker earns more than his/her private counterpart, and that this differential increased over the 1992–2007 period. Important differences along the wage distribution are also shown in the results; in fact, public servants in the highest percentiles of the wage distribution generally earn less than their private sector equivalents. Nonetheless, the percentile at which a positive wage gap becomes a wage penalty shifted over the period as the average wage gap experienced by most countries widened. Still, the most qualified public sector workers do face a wage penalty. Furthermore, indicators of government effectiveness show no relationship with the country ranking according to the public–private wage gap.