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benevolent leadership does not always lead to positive consequences and needs to
demonstrate authenticity and real consideration.
For the one article on research methodology by Haw-Jeng Chiou, it discusses the
problem of regression analyses which often rely heavily on hypothesis testing and
interpretations of regression coefficients. The paper reviews several indices that can be used
to evaluate the effect size and relative importance of predictors, the relative weight analysis
(RWA), and the dominance analysis (DA) in multiple regressions. A simulated dataset of
2,325 Taiwanese adults from the 2011 Panel Study of Family Dynamics (PSFD) was used to
examine the impacts of multicollinearity, including the enhancement, suppression, and
redundancy effects to evaluate the effect size and relative importance of predictors. The
author recommended that the indices based on RWA and DA should be used for evaluating
the relative importance of predictors. In particular, DA had the advantage of flexible
procedures for evaluating the different facets of the dominance of predictors.
For the one article in the field of corporate finance by Wong and Chang, it surveys
external growth strategies (including M&A, equity-based alliances such as joint ventures,
and non-equity-based alliances) in the Asian market. Specifically, the authors review and
discuss journal articles that sampled data from the Asian market and that were published in
TSSCI or A Tier SSCI financial journals from 2000 to 2015. These journal articles were
divided into two research streams: M&A and alliances. The findings suggest that Taiwanese
companies have a prevalence of family businesses, supply chains with closed networks and
business groups. The authors believe that these unique characteristics of Taiwanese
companies provide scholars an opportunity to develop research focused on M&A and
alliances, especially examining niche acquisitions and alliances. Finally, this article provides
potential future research topics and studies related to M&A and alliances based on data
collected in Taiwan.
For the one operation management article, it applies competitive dynamics perspective
from strategy literature to the context of process development and management. Authors
develop insights by applying a dynamic, computational model based on an extensive
appraisal of the history of process innovation and improvement in the global automobile
industry, and draw on the underlying theoretical relationships in the empirical literatures on
operations and strategy. From this study, they demonstrate that the leading firm can publicly
signal its best practice to induce the follower firm to invest in process improvement
capabilities but only for short-term survival, not for long-term purposes or goals. In this way,