Since the initial studies of derecognition, many articles have focused on the issue, by and large pointing to a slow increase in derecognition. However, a small number have indicated it is actually much larger. This paper shows that derecognition is even greater than these suggest and that its nature has changed. The paper looks at the contexts of this rise but argues that derecognition should not yet be seen as a major problem facing the unions. 相似文献
Over the past decade, numerous calls have been made within the international business literature for a broader conceptualization and measurement of non-geographic forms distance amongst countries. One promising response to this call has been a set of psychic distance stimuli scales put forward by Dow, D., & Karunaratna, A. (2006). Developing a multidimensional instrument to measure psychic distance stimuli. Journal of International Business Studies, 37(5), 575–577. However, to date, these new scales have only been tested in one very limited setting – predicting bi-lateral trade flows. This paper extends the generalizability of the Dow and Karunaratna scales by testing their criterion-related validity with respect to three specific foreign direct investment (FDI) issues: predicting market selection, entry mode choice and performance. The results indicate that the Dow and Karunaratna scales are significantly stronger predictors of market selection and FDI performance than the traditional Kogut and Singh index; and that researchers should go beyond using national cultural distance as their sole measure of distance amongst countries. The results for predicting entry mode choice are more ambiguous; however, the authors argue that the ambiguity may reflect the inadequacies of the classic TCE-based approach to predicting entry mode, rather than shortcomings in the measurement of the distance construct. 相似文献
Social network marketing has risen to the fore as an innovative and cost effective method of reaching a target audience. However, owing to the recentness of this marketing technique, there is little scholarly research in this area, especially in emerging markets. This study considered the impact of interactivity and media richness on brand attitude and brand image in the South African beer market. It also tested whether brand involvement has a moderating effect in this regard. The empirical work was conducted through an electronic survey of Facebook fan page users. The results revealed that interactivity had a positive effect on brand attitude, whilst media richness did not. Brand involvement, tested for a moderating effect on the above relationships, was not found to be significant. As expected, brand attitude was found to be strongly linked to brand image in this context. The findings stress the importance of bidirectional communication in favor of media rich design. This suggests that marketers of beer would be well advised to engage with customers on fan pages in routinely responding to their comments and allowing them to upload suitable content. If consumers feel that they have ‘ownership’ of these pages and are able to have a positive influence on brand evolution, fan pages are likely to yield positive results in social media campaigns. 相似文献
Microeconometric studies increasingly utilize travel times to markets as a determinant of economic behaviour. These studies typically use self‐reported measures from surveys, often characterized by measurement error. This paper is the first validation study of access to markets data. Unique data from Peru allow comparison of self‐reported variables with scientifically calculated variables. We investigate the determinants of the deviation between imputed and self‐reported data and show that it is non‐classical and dependent on observable socio‐economic variables. Our results suggest that studies using self‐reported measures of access may be estimating biased effects. 相似文献
Probability of informed trading (PIN) models characterize trading with certain types of information through a tree structure. Different tree structures with different numbers of groups for market participants have been proposed, with no clear, consistent tree used in the literature. One of the main causes of this inconsistency is that these trees are artificially proposed through a bottom-up approach rather than implied by actual market data. Therefore, in this paper, we propose a method that infers a tree structure directly from empirical data. More precisely, we use hierarchical clustering to construct a tree for each individual firm and then infer an aggregate tree through a voting mechanism. We test this method on US data from January 2002 for 7608 companies, which results in a tree with two layers and four groups. The characteristics of the resulting aggregate tree are between those of several proposed tree structures in the literature, demonstrating that these proposed trees all reflect only part of the market, and one should consider the proposed empirically driven method when seeking a tree representing the whole market.