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This chapter estimates the demand for flights in an international air travel market using a unique dataset with detailed information not only on flight choices but also on contemporaneous prices and characteristics of all the alternative non-booked flights. The estimation strategy employs a simple discrete choice random utility model that we use to analyze how choices and its response to prices depend on the departing airport, the identity of the carrier, and the departure date and time. The results show that a 10% increase in prices in a 100-seat aircraft throughout a 100-period selling season decreases quantity demanded by 7.7 seats. We also find that the quantity demanded is more responsive to prices for Delta and American, during morning and evening flights and that the response to prices changes significantly over different departure dates.

The purpose of this paper is to model asymmetric information and study the profitability of venture capital (VC) backed initial public offerings (IPOs). The mixtures approach endogenously separates IPOs into differentiated groups based on their returns’ determinants. The authors also analyze the factors that affect the probability that IPOs belong to a specific group.

The authors propose a new method to model asymmetric information between investors and firms in VC backed IPOs. The approach allows the authors to identify differentiated companies under incomplete information. The authors use a sample of 2,404 US firms from 1980 through 2012 to estimate the mixture model via maximum likelihood.

The authors find strong evidence that companies can be separated into two groups based on how IPO returns are determined. For companies in the first group the results are similar to previous studies. For companies in the second group the authors find that profitability is mainly affected by the reputation of the seed VC and capital expenditures. Tangible assets and age help explain group affiliation. The authors also motivate the findings for a continuum of heterogeneous IPO groups.

The proposed mixture approach helps decrease asymmetric information for investors, regulators, and companies.

The mixture methods help decrease asymmetric information between investors and firms improving the probability of making profitable investments. Separating between groups of IPOs is crucial because different determinants of an IPO operating performance can potentially have opposite effects for different groups.

Although phone calls are widely used by debt collection services to persuade delinquent customers to repay, few financial services studies have analyzed the unstructured voice and text data to investigate how debt collection call strategies drive customers to repay. Moreover, extant research opens the “black box” mainly through psychological theories without hard behavioral data of customers. The purpose of our study is to address this research gap.

The authors randomly sampled 3,204 debt collection calls from a large consumer finance company in East Asia. To rule out alternative explanations for the findings, such as consumers' previous experience of being persuaded by debt collectors or repeated calls, the authors selected calls made to delinquent customers who had not been delinquent before and were being called by the company for the first time. The authors transformed the unstructured voice and textual data into structured data through automatic speech recognition (ASR), voice mining, natural language processing (NLP) and machine learning analyses.

The findings revealed that (1) both moral appeal (carrot) and social warning (stick) strategies decrease repayment time because they arouse mainly happy emotion and fear emotion, respectively; (2) the legal warning (stick) strategy backfires because of decreasing the happy emotion and triggering the anger emotion, which impedes customers' compliance; and (3) in contrast to traditional wisdom, the combination of carrot and stick fails to decrease the repayment time.

The findings provide a valuable and systematic understanding of the effect of carrot strategies, stick strategies and the combinations of them on repayment time. This study is among the first to empirically analyze the effectiveness of carrot strategies, stick strategies and their joint strategies on repayment time through unstructured vocal and textual data analysis. What's more, the previous studies open the “black box” through psychological mechanism. The authors firstly elucidate a behavioral mechanism for why consumers behave differently under varying debt collection strategies by utilizing ASR, NLP and vocal emotion analyses.

Platforms in two-sided markets are known to provide subsidies to either buyers or sellers, in order to take advantage of cross-group externalities inherent in such industries. Online travel agents can be thought of as platforms facilitating trade between passengers and travel service providers (airlines). This chapter evaluates the effects of a buyer subsidy provided by one major US online travel agent – a low-price guarantee offered by Orbitz. We find evidence consistent with increased airline participation with this travel agent upon implementation of the low-price guarantee policy. Our results also confirm the theoretical claims that most-favored customer low-price guarantee policies are procompetitive.

Speculative bubbles have been occurring periodically in local or global real-estate markets and are considered a potential cause of economic crises. In this context, the detection of explosive behaviors in the financial market and the implementation of early warning diagnosis tests are of critical importance. The recent increase in Brazilian housing prices has risen concerns that the Brazilian economy may have a speculative housing bubble. In the present chapter, we employ a recently proposed recursive unit root test in order to identify possible speculative bubbles in data from the Brazilian residential real-estate market. The empirical results show evidence for speculative price bubbles both in Rio de Janeiro and São Paulo, the two main Brazilian cities.

The purpose of this study is to estimate the effect of information disclosure on firm value for firms in the Integrated Latin American Market (MILA) over the period 2011–2017.

The study uses structural equation modeling (SEM), where the latent variable “Disclosure Quality” is measured using five textual analysis variables as indicators. The final sample is composed of 1,412 observations representing 198 firms from which we were able to collect annual reports and financial information required.

The authors find a positive and statistically significant effect of “Disclosure Quality” on firm value. The indirect effect of language on firm value is also captured. Text similarity, negative tone, readability and text length in corporate disclosure are negatively related to firm value while using positive tone is positively related. In the exploratory analysis, the authors have significant effects of textual measures on disclosure quality.

The research is original and unique as it approaches the relation between disclosure quality and market valuation of the firm using SEM for firms participating in the MILA.

El propósito es estimar el efecto de la calidad en la revelación de información sobre el valor de la firma para empresas que hacen parte del mercado integrado Latinoamericano (MILA) durante el periodo 2011–2017.

El estudio utiliza un modelo de ecuaciones estructurales (SEM), donde la variable latente “Calidad de la información” es medida usando cinco variables de análisis textual como indicadores. La muestra final está conpuesta de 1,412 observaciones que representan 198 empresas para las cuales se pudo recolectar los reportes anuales y la información financiera requerida

Nosotros encontramos una relación positiva y estadísticamente significativa entre la variable “Calidad de la información” y valor de la firma. El efecto indirecto del lenguaje en el valor de la firma es igualmente observado. La similaridad en el texto, el tono negativo, la legibilidad y el largo del texto en la revelación corporativa están relacionados de manera negativa con el valor de la firma mientras que el tono positivo está relacionado de manera positiva. En el análisis exploratorio, nosotros encontramos un efecto estadísticamente significativo entre las medidas de texto y la calidad de la revelación.

La investigación es original y única en cuanto aproxima la relación entre calidad de la revelación y desempeño de la firma usando un modelo de ecuaciones estructurales para las firmas participantes del mercado integrado Latinoamericano (MILA).

The vertical relationships literature has considered situations where both producers and retailers have a degree of market power. On one hand, retailers may have certain freedom in deciding what price to charge to the final consumers. On the other hand, large retailers may also pressurize producers (Wal-Mart is a classic example; see also Comanor and Rey (2000) for a formal treatment of this topic). At the same time, producers may pressurize retailers via resale price maintenance. The interplay of producers' and retailers' bargaining power, in addition to the structure (both horizontal and vertical) of product and distribution markets, eventually determine the sticker price faced by an unsuspecting consumer.

The purpose of this paper is to analyze the organizational impacts of enterprise mobility and the configurations of mobile information technology (IT) impacts in companies with various value creation logics.

An exploratory approach combining semi-structured interview and repertory grid method was used to evaluate managers’ perspectives on the effects of mobile technologies.

The qualitative findings unearth managers’ perspectives about the organizational impacts of enterprise mobility, which are categorized into six intermediary dimensions and two fundamental impacts. A further analysis of material collected from interviews also shows the differential context-related configurations of mobile IT impacts in companies.

This study contributes to literature on the business value of IT in general and mobile IT in particular by examining managers’ cognitive constructions of the organizational impacts of enterprise mobility and highlighting the complexity and context-related variety of mobile IT impacts.

This study provides valuable insights for managers and decision makers that enterprise mobility shows promise in enhancing a firm’s operational and marketing performance.

Different from prior literature, this study is an exploratory attempt to investigate complex enterprise-mobility-performance relationship and preliminarily uncovers that the mechanisms with which mobile IT influences firm performance vary in different organizational contexts.