Matching Ethical Work Climate to In-role and Extra-role Behaviors in a Collectivist Work Setting

This paper studies the relationship between organizational ethical climate and the forms of organizational citizenship behavior (OCB), including in-role and extra-role behaviors, and examines the mediating effect of employee loyalty. A sample of employees from a traditional Hong Kong-based company was used as a study group. The purpose of this study was to examine the causes and implications of how various ethical work climates affect employee performance. Based on a model proposed by Victor and Cullen, ethical climate is arranged from lower levels to higher levels. The results suggest that lower levels of ethical climate (instrumentality and independence), characterizing a weak relational contract between employee and employer, are associated with negative extra-role behavior. In contrast, higher levels of ethical climate (caring and law-and-code), symbolic of a strong relational contract at work, are associated with positive extra-role behavior. Moreover, normative commitment mediated a positive relationship between caring and identification with the company, whereas attitudinal loyalty mediated the negative relationship between independence and altruism. Implications for future research and practice are discussed. Dr. Alicia Leung is an Associate Professor of Management at the Hong Kong Baptist University. She received her Ph.D. degree in Management Learning from the University of Lancaster, U.K. She is active in researching and writing materials about Asian organizations and management issues. Her research interests include gender issues and feminist methodology, business ethics, corporate governance, and strategic management in the Asian context.     

The impact of workplace ostracism in service organizations

This study examines the effects of personal and situational determinants on work engagement and service performance. Drawing on Conservation of Resources (COR) Theory, we hypothesize that workplace ostracism will reduce work engagement and service performance and that highly neurotic individuals are more susceptible to ostracism. To test the model, we collect longitudinal data from 304 supervisor–subordinate dyads in 19 Chinese hotels. As predicated, we find that: (1) workplace ostracism is negatively related to service performance; (2) workplace ostracism negatively impacts employee service performance via work engagement; and (3) neuroticism strengthens workplace ostracism's direct effect on work engagement and indirect effect on service performance. The implications of these findings, the strengths and limitations of the study, and directions for future research are discussed.     

Comovement of dairy product futures and firm value: returns and volatility

This study investigates the exposure of dairy firm stock prices to the prices of dairy product futures, in terms of returns and volatility, from May 2013 to April 2018. Stock price returns are regressed against an index of the futures price returns to four dairy products – milk, cheese, butter and dry whey – to isolate the effects of the dairy futures price returns. Dairy product futures price returns are found to be significant in the regression in the first three years of the sample period, with a mean coefficient of ?0.024. Using the Diebold‐Yilmaz volatility spillover method of forecast error variance decomposition, we show that the volatility of the four dairy product futures accounted for an average of 5.49 per cent of the volatility of dairy stock prices. These results suggest that the prices of dairy firms have minimal exposure to dairy product futures prices. This has implications for dairy firms and investors, who seek to understand volatility and returns in the dairy products and the stocks they trade in, and for policymakers, who seek to control or mitigate undesirable dairy product price volatility.     

The sensitivity of the RESET tests to disturbance autocorrelation in regression analysis

This paper investigates the sensitivity of the RESET tests, proposed by Ramsey (1969) and modified by Thursby and Schmidt (1977), to disturbance autocorrelation in regression analysis. Porter and Kashyap (1984) show that RESET is not robust to autocorrelated disturbance when there is a highly autocorrelated regressor in the model. We show that RESET is sensitive to disturbance autocorrelation even when the regressors are not autocorrelated. We explain the findings of Thursby (1979) and Porter and Kashyap (1984) as well as our result by showing that a spurious correlation between the regressor and the disturbance is responsible for the serious size distortion of the RESET tests. First version received: June 1999/Final version received: November 2000     

Is Hong Kong still an entrepôt under the Sino-U.S. trade war?

This paper studies the Hong Kong economy from a trade intermediary's perspective. Using a structural vector autoregression (SVAR) framework, we discover that trade-related external shocks mainly affect the economy through re-exports channel over the offshore trade channel. We observe that re-exports shock does not transmit to the real economy through the employment channel. A puzzling phenomenon is that trade-related employment has been in decline since 2008. Moreover, we notice that although the Sino-U.S. trade war exerted much downward pressure on economic growth between 2018 and 2019, the trade intermediary sector swiftly recovered in 2020, reflecting the versatility of the external trade sector in Hong Kong.     

Enhancing the competitiveness and sustainability of social enterprises in Hong Kong: A three-dimensional analysis

Running a social enterprise (SE) is more difficult than running a small or medium-sized enterprise because SEs have to achieve both economic sustainability as business enterprises and their social mission for the benefit of society. After a few years of operation, many SEs fail or struggle for survival. In this study, we examine some of the factors that affect an SE’s profitability, financial management, and business planning and management. Based on in-depth interviews with 22 social enterprises in Hong Kong, we find that SEs with the dual investment objectives of social mission and financial return are more sustainable and competitive than SEs with social impact as their sole objective. Furthermore, SEs managed by non-owner managers have better financial planning and performance than those managed by owner managers. In addition, SEs with an oversight/advisory committee are more competitive and have better management practices than those without such a committee. Our findings have policy implications for government, SEs, funding bodies, and non-profit organizations to enhance and promote the development of the social enterprise sector.     

A semantic similarity analysis of Internet of Things

ABSTRACT

Internet of Things (IoT) has gradually become one of the most popular topics among both academia and industry, and it is considered as a crucial part of future Internet. However, very few objective and systematic review was conducted to address high-value articles and summarize the intellectual components from journals for examination and identification of the intellectual core and structure of IoT. Therefore, this study conducted a co-citation analysis for IoT by using 68 high-value articles retrieved within 1457 source papers from Web of Science online database. By using factor analysis, ten critical factors were identified, which includes (1) frameworks and challenges of IoT; (2) current situation of IoT in different applications; (3) interactions of IoT; (4) security issues of IoT; (5) application domains of IoT; (6) data management of IoT; (7) IoT in product lifecycle management; (8) enabling technologies of IoT; (9) IoT in smart cities; (10) IoT in recommender systems. Hierarchical Custer Analysis and Multidimensional Scaling were used to graphically illustrate the intellectual elements of IoT. In the current findings, fundamental elements of IoT including architectural framework, enabling technologies, network communication, data management, and IoT interactions were discussed with a series of challenges for wider and deeper IoT applications.     

Technical,allocative and economic efficiencies in swine production in Hawaii: a comparison of parametric and nonparametric approaches

Technical, allocative and economic efficiency measures arc derived for a sample of swine producers in Hawaii using the parametric stochastic efficiency decomposition technique and nonparametric data envelopment analysis (DEA). Efficiency measures obtained from the two frontiei approaches are compared. Firm-specific factors affecting productive efficiencies are also analyzed. Finally, swine producers, potential for reducing cost through improved efficiency is also examined. Under the specification of variable returns to scale (VRS), the mean technical, allocative and economic efficiency indices are 75.9%, 75.8% and 57.1%, respectively, for the parametric approach and 75.9%, 80.3% and 60.3% for DEA; while for the constant returns to scale (CRS) they are 74.5%, 73.9% and 54.7%, respectively, for the parametric approach and 64.3%, 71.4% and 45.7% for DEA. Thus the results from both approaches reveal considerable inefficiencies in swine production in Hawaii. The removal of potential outliers increases the technical efficiencies in the parametric approach anil allocative efficiencies in DEA, but, overall, contrary to popular belief, the results obtained from DEA are found to be more robust than those from the parametric approach. The estimated mean technical and economic efficiencies obtained from the parametric technique are higher than those from DEA for CRS models but quite similar for VRS models, while allocative efficiencies are generally higher in DEA. However, the efficiency rankings of the sample producers based on the two approaches are highly correlated, with the highest correlation being achieved for the technical efficiency rankings under CRS. Based on mean comparison and rank correlation analyses, the return to scale assumption is found to be crucial in assessing the similarities or differences in efficiency measures obtained from the two approaches. Analysis of the role of various firm-specific factors on productive efficiency shows that farm size has strong positive effects on efficiency levels. Similarly, farms producing market hogs arc-more efficient than those producing feeder pigs. Based on these results, by operating at the efficient frontier the sample swine producers would be able to reduce their production costs by 38-46% depending upon the method and returns to scale considered.     

Runaway system characterization and vent sizing based on diers methodology

This article reveals the diverse nature of runaway systems as well as some general trends. In addition, it also serves to point out the usefulness of such an apparatus in characterizing virtually unknown systems.