Does knowledge explain trust behaviors and outcomes? The different influences of initial knowledge and experiential knowledge on personal trust interactions

This paper examines the influences of initial knowledge and experiential knowledge on trust behaviors and trust outcomes, respectively, at an interpersonal level. We use an experimental dynamic trust game, and our results show that (1) the initial knowledge that exists a priori between a trustor and a trustee helps to explain the trustor's trust behaviors toward the trustee, and (2) the experiential knowledge gained directly by a trustor during a specific trust interaction with a trustee influences the trust outcome, i.e. the difference between the original expectations of the trustor and the subsequent trust behaviors. Our results contribute to human resource literature by clarifying the specific influences of different types of knowledge on interpersonal trust relationships (e.g. between managers and employees) and by supplementing the traditional notion that trust within a firm develops slowly by showing that personal expectations have an immediate and important influence on trust output.     

Management and employee involvement in achieving an environmental action-based competitive advantage: an empirical study

The objective of this work is to conduct an empirical study that shows whether certain management and human resource factors influence the achievement of an environmental action-based competitive advantage in a company. To this end, we have taken a sample of 110 factories. Management's deep involvement and its strategic integration, as well as employee motivation and participation, have a positive impact on the achievement of an environmental action-based competitive advantage in a company.     

Urban economic base as a catalyst for movements in real estate prices

We examine the relation between housing prices in an MSA and its urban economic base. We create and employ new forward-looking employment growth indices that measure the urban economic strength of an MSA and find that it accounts for a significant and sizeable portion of the house price movements in that MSA. We argue that the forward looking measure is an indicator of future agglomeration growth for the MSAs. We further partition the urban economic growth into growth by various industries and track the attribution of their growth to housing prices over time. We find that for some MSAs, home prices are driven by the same set of industries over time, whereas for others, home prices are driven by a totally new set of industries in the later quarters, due to the birth of new industries. We also analyze the impact of the diversification of an urban economic base on home price volatility and observe that diversification decreases home price volatility. The result has larger implications for urban policymakers in selecting the appropriate type of industries relative to their existing mix of industries.     

Interpretation problems of the partial correlation with nonnormally distributed variables

The partial correlation is a commonly used measure for assessing the bivariate correlation of two quantitative variables after eliminating the influence of one or more other variables. The partial correlation is generally interpreted as the correlation that would result if the variables to be eliminated were fixed (not allowed to vary and influence the other variables), which is referred to in the statistical literature as conditional correlation. The present paper demonstrates, by means of theoretical derivations and practical examples, that when the assumption of multivariate normality is violated (e.g., as a result of nonlinear relationships among the variables investigated) the usual interpretation of the partial correlation coefficient will be basically incorrect. In extreme cases the value of the partial correlation coefficient may be strongly positive, close to 1, whereas the conditional correlation may have a large negative value. To solve this problem the paper suggests to partial out a certain function (in most cases the square) of the variables whose effects are to be eliminated if nonlinear relationships are likely to occur.     

HEGY Tests in the Presence of Moving Averages*

We analyze the asymptotic distributions associated with the seasonal unit root tests of Hylleberg et al. (1990) for quarterly data when the innovations follow a moving average process. Although both the t‐ and F‐type tests suffer from scale and shift effects compared with the presumed null distributions when a fixed order of autoregressive augmentation is applied, these effects disappear when the order of augmentation is sufficiently large. However, as found by Burridge and Taylor (2001) for the autoregressive case, individual t‐ratio tests at the semi‐annual frequency are not pivotal even with high orders of augmentation, although the corresponding joint F‐type statistic is pivotal. Monte Carlo simulations verify the importance of the order of augmentation for finite samples generated by seasonally integrated moving average processes.     

Qualitative/quantitative integration in the inductive observational study of interactive behaviour: impact of recording and coding among predominating perspectives

A strong dichotomy has traditionally been established between qualitative and quantitative approaches. This question has been the subject of intense debate from a methodological point of view, and in recent years there are clear signs that the conflict is being overcome; nevertheless, we are still some way from a genuine position of complementarity and integration, and the issue remains to be considered in the process of theorization along the tortuous path that leads from the particular to the general. The proposal in this article takes a further step forward as regards this question, this time with respect to the study of interactive behaviour. The key is once again the consideration of a “complete unit” of analysis, but the logic of the observational methodology process enables the perspectives to be sequenced: the study begins with a predominantly qualitative approach before subjecting the data to a given type of recording (through the important support of field formats) and coding (preferably computerized), thus producing a matrix of formally interchangeable data; finally, the criterion is reversed and the study continues under a predominantly quantitative perspective.     

Bank mergers and components of risk: An evaluation

The present study empirically examines the contribution of the acquired banks in only the nonconglomerate types of mergers (i.e., banks with banks), where the bulk of the payment is in the form of equity to the acquiring bank and finds overwhelmingly statistically significant evidence that nonconglomerate types of mergers definitely reduce the total as well as the unsystematic risk while having no statistically significant effect on systematic risk. Therefore, it seems that diversification may be a possible motive for bank mergers.