RESOURCE BOOMS, INEQUALITY, AND POVERTY: THE CASE OF GAS IN BOLIVIA

This paper addresses the question of whether the Bolivian gas boom of the 1990s has bypassed large parts of the poor population, thereby leading to increasing inequalities in an already unequal society. Using a Computable General Equilibrium model that is sequentially linked to a microsimulation model, we examine the transmission channels through which the large resource inflows related to the gas boom, both initial foreign investment in the sector and the subsequent export earnings, as well as large public transfer programs affect the distribution of income. Our focus is on labor market impacts, in particular on shifts between formal and informal employment and changes in relative factor prices. Our simulation results suggest that the gas boom induces a combination of unequalizing and equalizing forces, which tend to offset each other. As net distributional change is limited, growth generated by the boom reduces poverty despite increasing informality.     

Assessing farmers’ risk preferences and their determinants in a marginal upland area of Vietnam: a comparison of multiple elicitation techniques

We examine the consistency of risk preference measures based on eight hypothetical elicitation methods and a lottery game applied to smallholder farmers in a marginal upland environment in Vietnam. Using these measures, we identify influencing factors of risk aversion via regression analysis, whereby unlike previous studies, we include several proxies of social capital such as social networks and norms. Data were collected from household heads and spouses separately in a random sample of 300 households. Although correlations between most of the various risk preference measures are all statistically highly significant, most are weak. On average, respondents have a high degree of risk aversion and specific characteristics—gender, age, idiosyncratic shocks, education, social norms, network‐reliance with extended family, and connections to local authorities—are significant determinants of risk preferences across most elicitation methods, whereas others—the household's dependency ratio, wealth, and covariate shocks—are significant in a few methods only. The explanatory power of the models is limited, indicating that other factors are likely to be of greater importance in determining risk preferences. The results can help target safety nets, encourage investments, and lead to the development of more applicable methods for assessing risk preferences of smallholders in developing countries.     

Reputation und Unternehmenserfolg

About 30 years ago the first scientific papers were published that address the construct of corporate reputation from the perspective of management science. This article aims at providing a comprehensive review of the state-of-the-art of corporate reputation research. First, we discuss conceptualizations and operationalizations of this intangible asset. Second, we review studies which examine the relationship between corporate reputation and stakeholder behavior respectively firm performance. We find that a superior corporate reputation influences the behavior of stakeholders favorably and thus has a positive impact on the (financial) success of the firm. Finally, we present some hints for future research.     

A CYCLING METHOD FOR CONSTRUCTING INPUT–OUTPUT TABLE TIME SERIES FROM INCOMPLETE DATA

There are a number of approaches for constructing time series of input–output tables. Some authors generate an initial estimate for a base year, and then serially estimate tables for subsequent years using the balanced prior-year table as an initial estimate. Others first generate a series of initial estimates for the entire period, and then balance tables in parallel. Current serial methods are affected by sudden leaps in the magnitude of table elements, which occur straight after a period of data unavailability. Current parallel methods require two complete tables for base and final years in the same classification, and therefore do not work under misaligned or incomplete data. We present a new method for constructing input–output table time series that overcomes these problems by averaging over alternate forward and backward sweeps across the time series period. We also solve the problem of hysteresis causing forecast and backcast table estimates to differ.     

Financial deepening,trade openness and economic growth in Latin America and the Caribbean

This contribution investigates the causal interactions between financial deepening, trade openness and economic growth in 13 Latin American and Caribbean countries. We construct a composite indicator for financial deepening and use it to detect Granger causality within a modified Vector Autoregressive/Vector Error Correction Model (VAR/VECM) framework. We find almost no evidence for the popular hypothesis of finance-led growth. Evidence of bidirectional finance–growth causality is stronger but mostly instable in the long run. Most results indicate a demand following or insignificant causal relationship between finance and growth. There is also no evidence that finance indirectly induces growth via the channel of trade openness. Hence, policies that prioritize financial and trade sector development cannot be supported.     

Development and application of the Leadership Archetype Questionnaire

The leadership assessment questionnaire (LAQ) is a 360 degree survey instrument designed to help organizational leaders identify their own style of leadership and formulate appropriate development objectives. It is designed to provide avenues for development of an executive team in which multiple leadership archetypes are represented. The LAQ is based on eight leadership archetypes – strategist, change-catalyst, transactor, builder, innovator, processor, coach, and communicator. These archetypes are representations of ways of leading in a complex organizational environment. In this article, we discuss the development, design, and psychometric analysis of the LAQ. We detail the conceptual foundations of the questionnaire and the psychometric methods used to confirm the validity and reliability of the instrument. We conclude with avenues for future research.     

Do We Fully Understand the Critical Success Factors of Customer Satisfaction with Industrial Goods? - Extending Festge and Schwaiger’s Model to Account for Unobserved Heterogeneity

This paper extends Festge and Schwaiger’s (2007) model of customer satisfaction with industrial goods by accounting for unobserved heterogeneity. The application of a novel response-based segmentation approach in partial least squares path modeling (PLS-PM) - the finite mixture partial least squares (FIMIX-PLS) methodology - opens the way for the effective identification of distinctive customer segments. In comparison to previous studies in this field, group-specific path model estimates reveal each customer segment’s particular characteristics as well as other differentiated findings. Hence, this contribution demonstrates that structural equation modeling studies on the aggregate data level can be seriously misleading and makes a strong case for segment-specific customer satisfaction analyses.     

Sales force modeling: State of the field and research agenda

Inspired by Erin Anderson’s contributions to sales force research, this paper focuses on research that utilizes quantitative models to investigate important questions in sales force management. The purpose is to summarize several significant developments in knowledge over the last 40 years and identify major opportunities for impactful theoretical, empirical, and decision model-based research in the future.