Improving footprint calculations of small open economies: combining local with multi-regional input–output tables

In a small, open and resource-poor economy, import and export dependency have an ever-growing impact on local policy decisions, which makes local (environmental) policy-makers increasingly depend on global data. This increases the interest in models that link local production and consumption data to global production, trade and environmental data. The recent increase in availability of global environmentally extended multi-regional input-output tables (EE-MRIO tables) provides an opportunity to link them with existing local environmentally extended input-output tables (EE-RIO tables). These combined tables make it possible (1) to analyse the links between local and global production and consumption and (2) to study global value chains, material use and environmental impacts simultaneously. However, estimations using input-output (I–O) analyses contain errors due to imperfect databases. In this article the magnitude of specification, aggregation and time errors are estimated and compared. The results show the need to combine local datasets with multi-regional ones and show that highest detailed (country and sector levels) as well as time series of I–O tables are the way forward for using I–O analyses in local policy-making. The paper provides guidance on trading off investments in model adoption and/or extension and the reliability of estimation results.     

How to learn new tasks: Shop floor performance effects of knowledge transfer and performance feedback

We investigate how learning and the task performance of individuals are affected by different forms of knowledge transfer. Whereas previous research has proven the positive performance impacts of knowledge transfer, self-observation and feedback mechanisms individually, we explore the cumulative effect of these factors on learning and performance. With the help of two laboratory experimental studies reproducing manufacturing tasks that are typical for industrial production, we show that explicit knowledge transfer is superior to other forms of knowledge transfer. Externally provided performance feedback in the form of cost information and non-financial performance indicators has no effect on the order of different forms of knowledge transfer. Moreover, external feedback does not even have an additional significant performance effect on learning new tasks irrespective of the type of knowledge transfer.     

Job analysis: a strategic human resource management practice

This study examined the impact of job analysis on organizational performance among 148 companies based in the United Arab Emirates (UAE), a Gulf-region country. Survey results indicated that a practice of proactive job analysis was strongly related to organizational performance. This relationship was strongest to the extent that companies maintained HR information systems, accorded HR greater involvement in strategic planning and emphasized competency-based characteristics of employees in the job analysis approaches they used. The findings suggest that a company-wide policy of job analysis is an important source of competitive advantage in its own right, and merits due attention of HR professionals, line managers and top management. The study extends the findings of the HR–performance research pursued in Western countries to a non-Western context.     

To Screen or Not to Screen? Using the Internet for Selection Decisions

Organizations are increasingly relying on Internet searches and social networking websites to uncover detailed and private information about job applicants. Such Internet screening techniques have the potential to provide additional information beyond that found using traditional screening approaches. However, questions regarding the legality and appropriateness of this practice, as well as issues regarding the standardization, reliability, and validity of the information obtained, need to be addressed. The current work describes these issues associated with Internet screening and provides recommendations to help ensure this practice is used appropriately in organizations. Suggestions for future research on Internet screening are also discussed.     

Het rekenkundig gemiddelde stijgingspercentage – een ondoelmatige groei-indicator

Summary In business practice it happens that annual growth is measured by the ordinary (arithmetic) average of yearly growth percentages. It is argued that there are better methods in any case. A method requiring relatively much time is least squares. Methods requiring very little time are a) determining growth graphically, using semi-logarithmic graph paper b) computing the geometrical average, which is nothing else than the n-th root (if there are n+l observations) of the ratio between the last and first observation. In a table, a survey of bias and dispersion of three estimators is given for a few numerical cases.     

The NIIT Academy: A unique 'university' in the making

NIIT is a highly successful for-profit education company with global reach, which grew by capitalising on the failings of the Indian state education system to provide employable graduates in computer education. Dr Mitra describes the company, then explores the changing forms of universities, the rôle of the private sector in these and the challenges of the future. He concludes by outlining how the 'NIIT Academy' is emerging as a possible model for universities for the next century.