THE IMPACT OF THE INSIDER TRADING SCANDAL ON THE INFORMATION CONTENT OF THE WALL STREET JOURNAL'S “HEARD ON THE STREET” COLUMN

We examine the impact of a scandal on the information content in the “Heard on the Street” column of the Wall Street Journal. Following the scandal in 1984, the column is found to have a reduced impact on stock prices for both buy and sell recommendations. However, the stock price response to information later published in the column before the publication day is smaller for the post-scandal period. This result suggests that after the scandal, editors and authors may have become more cautious in guarding against information leaks in the column. The scandal does not appear to have changed the impact of the column on trading volume.     

Green supply chain management – food for thought?

ABSTRACT

This paper investigates the impact of green supply chain management (GSCM) practices on the performance of UK food retail small and medium-sized enterprises (SMEs). A quantitative approach using a non-probability sampling of 84 participants was employed. Based on the literature review, five hypotheses were developed and tested using the partial least square-structural equation modeling (SEM-Smart PLS 2.03) approach. The reviewed literature revealed that key internal drivers (ID) and external pressures (EP) stimulate organizations to initiate GSCM practices in UK food retail SMEs. Though empirical findings strongly supported the statement that ID influence GSCM practices, they did not show a significant relationship between EP and GSCM practices. Literature also suggests that practicing GSCM can help improve the efficiency, brand image (BI) and profitability, and thus improve the overall firm performance which is also empirically proved. This study helps enrich existing theories on SCM and organizational performance. As to practical impact, this study should facilitate SMEs in GSCM practices and thus help green the economy. While the findings of this study have limited generalisability as the data were collected from UK SMEs only and the sample size was comparatively small, this research establishes a foundation for further study in this domain.     

Political instability and inflation in Pakistan

This study investigates the effects of political instability on inflation in Pakistan. Applying the Generalized Method of Moments technique and using data from 1951 to 2007, we examine this link through two different models. The results of the ‘monetary’ model suggest that the effects of monetary determinants are rather marginal and that they depend upon the political environment of Pakistan. The ‘nonmonetary’ model's findings explicitly establish a positive association between political instability and inflation. This is further confirmed through analysis based on interactive dummies that reveal political instability significantly leading to high (above average) inflation.     

Akbar's multiculturalism: lessons for diversity management in the 21st century

This paper challenges the hegemony of US‐centric perspectives in the diversity management literature by explaining how non‐Western histories and cultures may provide alternative contexts for understanding and managing diversity. In pursuit of this, the paper describes how Muslim ruler Jalaluddin Muhammad Akbar conceptualized multiculturalism in 16th century India, and how his principles of sulh‐i‐kul, rah‐i‐aql, and rawa‐i‐rozi may be adopted to develop a sociopolitical environment conducive to managing cultural diversity in organizations, an environment currently lacking even in the majority of democratic countries in the world today. Copyright © 2010 ASAC. Published by John Wiley & Sons, Ltd.     

Impact of Transformational and Servant Leadership on Organizational Performance: A Comparative Analysis

The purpose of this study is to examine the impact of two comparative leadership styles on organizational performance outcomes. The leadership styles undertaken is transformational and servant leadership. A sample of 155 participants is taken from profit-oriented service sector of Pakistan. Data through survey gathered on a five point likert scale from organizations. AMOS and SPSS are used for statistical analysis. The result shows that, transformational leadership has more impact on organizational learning than servant leadership. Furthermore organizational learning enhances organizational performance. Managers and leaders of corporate sector can get benefited from this study. Their main objective is to maximize the profitability of organization thus, they can choose leadership style which polishes their abilities and helps them to achieve profit maximization.     

Engineered nanomaterials: risk perception,regulation and insurance

Concerns surrounding the health risk of engineered nanomaterials, effective regulation and the lack of specifically tailored insurance products for the nanotechnology sector are putting the industry’s long-term economic viability at risk. From the perspective of the underwriter, this article speculates on the relationship between risk perception, regulation and insurability. In the nanotechnology sector, regulators are currently failing to keep pace with innovation, and insurers generally lack guiding principles for underwriting occupational risk from nanomaterial exposure. Such vulnerabilities when combined with misguided risk perceptions can lead to the overpricing of risk transfer and ill-conceived regulatory initiatives, thus potentially exhausting resources and stifling innovation in the sector. In the absence of well-developed regulatory protocols, the insurance industry has, and will continue, to occupy a key role as an effective lobby in terms of improved risk management practice. We suggest that the insurance industry will increasingly rely on control banding frameworks and ‘risk mitigation at source’ methods developed in conjunction with their clients to manage severe acute diversifiable risks. Long tail risk will continue to represent a serious challenge to insurers and regulators. In the meantime, insurers will have to bridge their current needs with improvised solutions. As an example of one possible solution, we outline a framework that utilizes financial instruments to hedge an insurer’s exposure to uncertain estimates of these long-term risks.     

A contextual study of female-leader role stereotypes in the hotel sector

Guided by the role congruity theory (RCT), this paper examines the mismatch in female-leader role stereotypes and how this mismatch may lead to prejudicial evaluations against female leaders. It also tests how gender equality practices and leadership development programmes (LDPs) may mitigate prejudicial evaluations against female leaders. Following a quantitative approach, this study uses a paired sample t-test and linear approach (i.e. multiple regression) to model the relationships and test the hypotheses formulated. Drawing on a survey of 392 employees working in 4- and 5-star hotels in Jordan, the study shows that employees stereotype successful leaders to be more masculine than feminine while they attribute both feminine and masculine stereotypes to women. There is, thus, an element of congruity in female-leader role stereotypes which reduces prejudicial evaluations against female leaders. Moreover, the results indicate that gender equality practices and LDPs significantly enhance the emergence and effectiveness of women leaders. The importance of this study derives from extending the RCT through a contextual investigation in the hotel sector in Jordan. This was done by considering two additional constructs, i.e. gender equality practices and LDPs that mitigate prejudice against female leaders.     

Interactive Mining of Strong Friends from Social Networks and Its Applications in E-Commerce

Social networks are generally made of individuals who are linked by some types of interdependencies such as friendship. Most individuals in social networks have many linkages in terms of friends, connections, and/or followers. Among these linkages, some of them are stronger than others. For instance, some friends may be acquaintances of an individual, whereas others may be friends who care about him or her (e.g., who frequently post on his or her wall). In this study, we integrate data mining with social computing to form a social network mining algorithm, which helps the individual distinguish these strong friends from a large number of friends in a specific portion of the social networks in which he or she is interested. Moreover, our mining algorithm allows the individual to interactively change his or her mining parameters. Furthermore, we discuss applications of our social mining algorithm to organizational computing and e-commerce