Organizing and personalizing intelligence gathering from the web

In this paper, we describe how an integrated web‐based application, code‐named FOCI (F lexible O rganizer for C ompetitive I ntelligence), can help the knowledge worker in the gathering, organizing, tracking and dissemination of competitive intelligence (CI). It combines the use of a novel user‐configurable clustering, trend analysis and visualization techniques to manage information gathered from the web. FOCI allows its users to define and personalize the organization of the information clusters according to their needs and preferences into portfolios. These personalized portfolios created are saved and can be subsequently tracked and shared with other users. The paper runs through an example to show how the use of a predefined domain template coupled with personalization can greatly enhance an organization and tracking of CI gathered from the web. Copyright © 2002 John Wiley & Sons, Ltd.     

The value of stock analysts' recommendations: Evidence from emerging markets

This is the first study to empirically examine post-recommendation buy and hold abnormal returns in emerging markets. By analyzing a sample of 13 emerging countries over the decade from 1996 to 2005, we find that stock prices react strongly to stock analyst recommendations and revisions. We also find that there is a stronger positive bias in analyst recommendations and revisions in emerging markets compared with that in developed markets. In our cross-sectional analysis, we find that the Market-to-Book ratio is the primary indicator for Buy and Strong Buy recommendation regressions. This indicates that stock analysts in emerging markets prefer high growth stocks with attractive characteristics.     

Firm performance and mutual fund voting

We employ a new comprehensive proxy voting records database to investigate whether mutual funds consider prior firm performance when they vote on a diverse range of management- and shareholder-sponsored proposals relating to governance, compensation, and director election. We argue that prior firm performance plays a role in the monitoring effort of mutual funds as they fulfill their fiduciary duties. Results show that voting is related to prior firm performance for selected management and shareholder proposals and that it is consistent with Institutional Shareholder Services’ recommendations. Mutual funds support management (shareholder) proposals less (more) when prior firm performance has been weak. Furthermore, even when mutual funds deviate from their fund family’s voting policies, they attach importance to prior firm performance, and their voting is, to a certain degree, affected by business ties.     

The impact of university brand identification and eWOM behaviour on students’ psychological well-being: a multi-group analysis among active and passive social media users

ABSTRACT

Encouraging students to share positive online reviews should not be regarded only as a marketing tool. This study aims to examine (i) the relationship between positive online reviews behaviour for university and students’ well-being; and (ii) the impact of eWOM behaviour on students’ psychological well-being among active (those who share and read information) and passive (those who only read information) social media users. An online survey was conducted to examine the interplay of university brand identification, positive eWOM behaviour, and university life satisfaction on students’ psychological well-being. Results found that students who share positive reviews about university on social media tend to have better psychological health. This study also revealed that active social media users benefit more in terms of well-being through sharing positive online reviews about their universities. Implications for theory and practice of social media marketing in the higher education context are discussed.     

The interrelationship between management control mechanisms and strategy

This paper examines the interrelationship between management control system (MCS) mechanisms and strategy. The traditional view is that the MCS is shaped by organisational strategy. More contemporary viewpoints, however, suggest that there may be a two-way relationship between the two variables. That is, MCS shapes, and is shaped by, strategy.We develop two research questions that describe the interrelationship between MCS and strategy, and test them using a public sector entity that experienced a strategic change. A retrospective longitudinal study, spanning five years and involving archival data, interviews and a questionnaire, was adopted. The analysis confirms the existence of a two-way relationship between MCS and strategy. We find that the interactive use of MCS mechanisms helps to facilitate a change in strategy, and that MCS mechanisms change to match a change in strategy.     

The empirical risk–return relation: A factor analysis approach

Existing empirical literature on the risk–return relation uses relatively small amount of conditioning information to model the conditional mean and conditional volatility of excess stock market returns. We use dynamic factor analysis for large data sets, to summarize a large amount of economic information by few estimated factors, and find that three new factors—termed “volatility,” “risk premium,” and “real” factors—contain important information about one-quarter-ahead excess returns and volatility not contained in commonly used predictor variables. Our specifications predict 16–20% of the one-quarter-ahead variation in excess stock market returns, and exhibit stable and statistically significant out-of-sample forecasting power. We also find a positive conditional risk–return correlation.     

Does Networking with Colleagues Matter in Enhancing Job Performance?

The present study empirically investigates the link between network properties and job performance using a sample of 121 middle managers from Beijing, China. The primary objective is to examine how characteristics of the person and the job moderate the effects of networks on self-rated performance. This study contributes to the network literature by investigating both the impact of network characteristics in terms of information accessibility and diversity on job performance and the interaction effects of gender, managerial rank, and functional areas of the ego with the network characteristics.     

An approximation pricing algorithm in an incomplete market: A differential geometric approach

The minimal distance equivalent martingale measure (EMM) defined in Goll and Rüschendorf (2001) is the arbitrage-free equilibrium pricing measure. This paper provides an algorithm to approximate its density and the fair price of any contingent claim in an incomplete market. We first approximate the infinite dimensional space of all EMMs by a finite dimensional manifold of EMMs. A Riemannian geometric structure is shown on the manifold. An optimization algorithm on the Riemannian manifold becomes the approximation pricing algorithm. The financial interpretation of the geometry is also given in terms of pricing model risk.Received: February 2004, Mathematics Subject Classification (2000): 62P05, 91B24, 91B28JEL Classification: G11, G12, G13Yuan Gao: Present address Block 617, Bukit Panjang Ring Road, 16-806,Singapore 670617. I am currently working in a major investment bank.This paper is based on parts of my doctoral dissertation Gao (2002),which isavailable upon request.Part of the research was done during my visit to HumboldtUniversity in 2002 and was partially supported by Deutsche Forschungsgemeinschaft, Sonderforschungsbereich 373. I am especially thankful to Professor Hans Föllmer for the invitation and helpful discussions.We would like to thank Professor Martin Schweizer,the associate editor and the referee for their constructive comments.