Performance of Preliminary Test Estimator Under Linex Loss Function

This article describes two bivariate geometric distributions. We investigate characterizations of bivariate geometric distributions using conditional failure rates and study properties of the bivariate geometric distributions. The bivariate models are fitted to real-life data using the Method of Moments, Maximum Likelihood, and Bayes Estimators. Two methods of moments estimators, in each bivariate geometric model, are compared and evaluated for their performance in terms of bias vector and covariance matrix. This comparison is done through a Monte Carlo simulation. Chi-square goodness-of-fit tests are used to evaluate model performance.     

Increasing the Power of the Test Through Pre-Test – A Robust Method

Robust test procedures are developed for testing the intercept of a simple regression model when the slope is (i) completely unspecified, (ii) specified to a fixed value, or (iii) suspected to be a fixed value. Defining (i) unrestricted (UT), (ii) restricted (RT), and (iii) pre-test test (PTT) functions for the intercept parameter under the three choices of the slope, tests are formulated using the M-estimation methodology. The asymptotic distributions of the test statistics and their asymptotic power functions are derived. The analytical and graphical comparisons of the tests reveal that the PTT achieves a reasonable dominance over the other tests.     

Employee voice on social media — An affordance lens

Voice mechanisms in organizations provide an opportunity for employees to have a say about their work. As new digital mechanisms, such as social media (SM), are being increasingly adopted by organizations for knowledge sharing, employee engagement and general communication, it is important to consider the extent to which SM may facilitate employee voice. The limited attempts to examine SM and employee voice have mostly focused on identifying the contextual factors that could promote constructive voice on SM. The extant literature does not explore how SM features may (or may not) facilitate all types of voice, such as those which promote employee interests. Adopting an affordance lens, this paper answers the call of voice scholars to explore the potential of SM as a voice mechanism by discussing the perceived value of different SM features for different types of employee voice content. The paper brings together SM and voice literature and explores how different SM affordances may potentially facilitate certain voice content more so over others. In doing so, future directions for research of voice on SM are also discussed.     

以EMME／2为平台估测温室气体的研究成果

京都协议已确认并应用战略战术措施来减少温室气的排放，因此，城市交通系统规划人员不得不寻求一种革新的方法来满足京都协议的要求。本文包括四部分：第一部分简要介绍了环境可持续的城市交通的概念，油耗，温室气体排放和京都协议的要求；第二部分描述了温室气体排放估测所需的方法，并指出了在实践中存在的缺陷，第三部分阐述了如何应用ＥＭＭＥ／２作为平台来估测室气体的排放；最后第四部分作了总结。     

How Do Mutual Dependence and Power Imbalance Condition the Effects of Technological Similarity on Post-acquisition Innovation Performance Over Time?

This study investigates how mutual dependence and power imbalance, which have been differentiated by recent studies adopting the theoretical lens of resource dependence theory (RDT) as two distinct forms of interdependence, change the effect of technological similarity between the acquiring firm and the target firm on post-acquisition innovation across times. The analysis of panel data on mergers and acquisitions undertaken by US firms reveals that in the short-run, mutual dependence strengthens the effect of technological similarity on post-acquisition innovation, whereas power imbalance weakens it. However, the effect of mutual dependence persists over time, while that of power imbalance declines over time. These findings extend the RDT to the context of technological acquisition and innovation and offer important implications for research and practice.