Incorporating environmental impacts into productivity analysis: the case for nitrogen leaching in the Australian dairy industry

This paper examines how the adoption of a system's perspective to the use of both marketed and public resources can be incorporated into an analysis of productivity measurement.  A biophysical model is used to measure the environmental inputs which are combined with conventional marketed inputs to develop a Malmquist Productivity Index to determine social productivity growth over the perios under study.  The analysis is applied to data collected from selected farms in south west Victoria and includes a measure of leaching and run-off as a proxy measure of the impact the application of fertilizers has on ground and surface water.  Although the sample is small, the results show measured productivity growth differs when environmental factors are considered.

What do unions do to productivity? A meta-analysis

The impact of unions on productivity is explored using meta-analysis and meta-regression analysis. It is shown that most of the variation in published results is due to specification differences between studies. After controlling for differences between studies, a negative association between unions and productivity is established for the United Kingdom, whereas a positive association is established for the United States in general and for U.S. manufacturing.

The impact of U.S. unions on productivity : a bootstrap meta-analysis

Resampling methods are used to calculate confidence limits in a metaanalysis of the association between unions and productivity for the population of U.S. studies. The available evidence points to a positive and statistically significant association between unions and productivity in the U.S. manufacturing and education sectors, of around 10% and 7%, respectively

A comparative analysis of opinions of Americans, Australians and Malaysians on the use of biometric devices in workplaces for security and monitoring of worker productivity

Since the September 11, 2001 terrorist attacks in New York, the use of biometric devices such as fingerprint scans, retina and iris scans and facial recognition in everyday situations for national security and border control, have become commonplace. This has resulted in the biometric industry moving from being a niche technology to one that is ubiquitous. As a result. more and more employers are using biometrics to secure staff access to their facilities as well as for tracking staff work hours, maintaining 'discipline' and carry out surveillance against thefts. detecting work hour abuses and fraud. However, the data thus collected and the technologies themselves are feared of having the potential for and actually being misused - both in terms of the violating staff privacy and discrimination and oppression of targeted workers. This paper examines the issue of using biometric devices in organisational settings their advantages, disadvantages and actual and potential abuses from the point of view of critical theory. From the perspectives of Panoptic surveillance and hegemonic organisational control, the paper examines the issues related to privacy and identification, biometrics and privacy, biometrics and the 'body', and surveillance and modernity. The paper also examines the findings ofa survey carried out in Australia. Malaysia and the USA on respondents' opinions on the use of biometric devices in everyday life including at workplaces. The paper concludes that along with their applications in border control and national security, the use of biometric devices should be covered by relevant laws and regulations. guidelines and codes of practice. in order to balance the rights to privacy and civil liberties of workers with employers' need for improved productivity, reduced costs, safeguards related to occupational health and safety, equal opportunity, and workplace harassment of staff and other matters, that employers are legally responsible for.

Productivity and efficiency analysis of Australia banking sector under deregulation

This paper conducts productivity and efficiency analysis of banks operating in Australia since the deregulation of the Australian financial system in early 1980s. Applying data envelopment analysis (DEA), with a moving window, the Malmquist indices are determined in order to investigate the levels of and the changes in the efficiency of Australian banks over the period from 1983 to 200 I. The DEA window analysis is adopted in order to relieve the small sample problem that in previous studies has proved problematic in the study of the Australian banking sector. The pal1icular window used in this case has been carefully designed to ensure the robustness of the efficiencies scores to changes in the window width. A second-stage regression is conducted by using the unconditional bootstrap approach suggested by Xue and Harker (1999) to overcome the dependency and heteroskedasticity of DE A efficiency scores. The empirical results demonstrate the effect of deregulation on the performance of individual banks, banks of different organizational types and the entire Australian banking sector.

The productivity-wage and productivity-employment nexus : a panel data analysis of Indian manufacturing

This article investigates the long-run relationship between labour productivity and employment, and between labour productivity and real wages in the case of the Indian manufacturing sector. The panel data set consists of 17 two-digit manufacturing industries for the period 1973–1974 to 1999–2001. We find that productivity-wages and productivity-employment are panel cointegrated for all industries. We find that both employment and real wages exert a positive effect on labour productivity. We argue that flexible labour market has a significant influence on manufacturing productivity, employment and real wages in the case of Indian manufacturing.

Construction capital productivity measurement using a data envelopment analysis

During the past few decades, the construction industry has experienced a series of changes including the innovation of construction technologies and the enhancement of management strategies. These improvements should have had a considerable effect on industrial efficiency and productivity performance, but research is needed to address whether the capital productivity levels of the construction industry have in fact shown such a huge improvement. This paper aims to develop an analysis procedure to measure capital productivity changes and to reasonably quantify factors affecting productivity levels in the construction industry. Based on the data envelopment analysis method, this research has developed a novel model measuring capital productivity and has applied it to the Australian construction industry. The numerical results indicate that the average annual capital productivity levels of the construction industry are slowly growing in all the Australian states and territories except for Queensland and Western Australia. In addition, construction technologies are shown to have a close relationship with the changes in capital productivity according to the temporal-spatial comparisons of productivity indices. The research findings are expected to be beneficial for making policy and strategic decisions to improve the capital productivity performance.

Output and labor productivity in organized manufacturing: a panel cointegration analysis for India

One of the policy puzzles faced in India during the last two and half decades has been the weak association between output and labor markets, particularly in the manufacturing sector. In this research, we investigate the long-run relationship between output, labor productivity and real wages in the case of organized manufacturing. We adjust the measure of labor productivity incorporating bottlenecks, such as lack of infrastructure, access to external finance, and labor regulations, which all may influence labor market outcomes. Using panel data from seventeen manufacturing industries, we establish long-run dynamics for the output-labor productivity-real wages series over a period of nearly three decades. We employ recently developed panel unit root and cointegration tests for cross-sectional dependence to incorporate heterogeneity across industries. Long-run elasticities are generally found to be low for labor productivity compared to real wages due to the changes in manufacturing output. There are variations across industries within the manufacturing sector for the effects of the labor market on manufacturing output. In some industries, lower wages are associated with higher output, and the reason for the positive relationship in other industries could be due to workers' bargaining power.

Unions and productivity growth: a meta-analytic review

The impact of unions on productivity growth has received extensive
attention from researchers in industrial relations and economics. Despite
a voluminous literature, controversy continues regarding the effect of unions on productivity growth. In this paper, meta-analysis and metaregression
analysis is used to quantify the association between unions and productivity growth and to accomplish a quantitative assessment of the empirical literature. The results indicate that the overall association between unions and productivity growth is negative, especially for the U.S. The search for moderator variables revealed that most of the variation in the published results is artificial and can be attributed to specification differences.

Analysis of cultural conflict in the development of web-enabled information systems

The advent of the World Wide Web (WWW) and the emergence of Internet commerce have given rise to the web as a medium of information exchange. In recent years, the phenomenon has affected the realm of transaction processing systems, as organizations are moving from designing web pages for marketing purposes, to web-based applications that support business-to-business (WEB) and business-to-consumer (B2C) interactions, integrated with databases and other back-end systems (Isakowitz, Bieber et al., 1998). Furthermore, web-enabled applications are increasingly being used to facilitate transactions even between various business units within a single enterprise. Examples of some of the more popular web-enabled applications in use today include airline reservation systems, internet banking, student enrollment systems in universities, and Human Resource (HR) and payroll systems. The prime motive behind the adoption of web-enabled applications are productivity gains due to reduced processing time, decrease in the usage of paper-based documentation and conventional modes of communication (such as letters, fax, or telephone), and improved quality of services to clients. Indeed, web-based solutions are commonly referred to as customer-centric (Li, 2000), which means that they provide user interfaces that do not necessitate high level of computer proficiency. Thus, organizations implement such systems to streamline routine transactions and gain strategic benefits in the process (Nambisan & Wang, 1999), though the latter are to be expected in the long-term. Notwithstanding the benefits of web technology adoption, the web has ample share of challenges for initiators and developers. Many of these challenges are associated with the unique nature of web-enabled applications. Research in the area of web-enabled information systems has revealed several differences with traditional applications. These differences exist with regards to system development methodology, stakeholder involvement, tasks, and technology (Nazareth, 1998). According to Fraternali (1999), web applications are commonly developed using an evolutionary prototyping approach, whereby the simplified version of the application is deployed as a pilot first, in order to gather user feedback. Thus, web-enabled applications typically undergo continuous refinement and evolution (Ginige, 1998; Nazareth, 1998; Siau, 1998; Standing, 2001). Prototype-based development also leads web-enabled information systems to have much shorter development life cycles, but which, unlike traditional applications, are regrettably developed in a rather adhoc fashion (Carstensen & Vogelsang, 2001). However, the principal difference between the two kinds of applications lies in the broad and diverse group of stakeholders associated with web-based information systems (Gordijn, Akkermans, et al., 2000; Russo, 2000; Earl & Khan, 2001; Carter, 2002; Hasselbring, 2002; Standing, 2002; Stevens & Timbrell, 2002). Stakeholders, or organizational members participating in a common business process (Freeman, 1984), vary in their computer competency, business knowledge, language and culture. This diversity is capable of causing conflict between different stakeholder groups with regards to the establishment of system requirements (Pouloudi & Whitley, 1997; Stevens & Timbrell, 2002). Since, web-based systems transcend organizational, departmental, and even national boundaries, the issue of culture poses a significant challenge to the web systems’ initiators and developers (Miles & Snow, 1992; Kumar & van Dissel, 1996; Pouloudi & Whitley, 1996; Li & Williams, 1999).

Total factor productivity and efficiency in Australian colleges of advanced education

The former colleges of advanced education were an important component of the higher education sector in Australia. Uses the Malmquist total factor productivity index to investigate the efficiency and productivity of Australian colleges of advanced education during the 1980s. The results from this analysis indicate that these colleges recorded modest growth in technical change and total factor productivity, but did not fare all that well in terms of growth in technical and scale efficiency during the 1980s. As a group, however, the former colleges of advanced education had attained high levels of technical and scale efficiency.

Publication bias in union-productivity research?

This paper develops and applies several meta-analytic techniques to investigate the presence of publication bias in industrial relations research, specifically in the union-productivity effects literature. Publication bias arises when statistically insignificant results are suppressed or when results satisfying prior expectations are given preference. Like most fields, research in industrial relations is vulnerable to publication bias. Unlike other fields such as economics, there is no evidence of publication bias in the union-productivity literature, as a whole. However, there are pockets of publication selection, as well as negative autoregression, confirming the controversial nature of this area of research. Meta-regression analysis reveals evidence of publication bias (or selection) among US studies.