Managing multiple forms of employment in the construction sector: implications for HRM

The construction industry is one of the largest and most complex industrial sectors in the UK. The industry's failure to adopt progressive human resource (HR) practices is routinely blamed on the challenges of operating in a fragmented, project‐based environment reliant on subcontracting. This research examines the extent to which existing HR theory accounts for the particular employment context of project‐based organisations operating in volatile markets. Drawing upon case study research from two different divisions within a large contracting firm, this article explores the extent to which different contracting arrangements impinge on attempts to reposition human resource management (HRM) as a strategic function along the business partnering model. Elevating the role of the HR function is found to be difficult to reconcile with the concurrent demands of managing multiple forms of employment arrangements. The research reveals a need for HRM models that account for the specificities of complex, differentiated organisations that operate in multiple environments.     

Inferential Implications of Over‐Parametrization: A Case Study in Incomplete Categorical Data

In the context of either Bayesian or classical sensitivity analyses of over‐parametrized models for incomplete categorical data, it is well known that prior‐dependence on posterior inferences of nonidentifiable parameters or that too parsimonious over‐parametrized models may lead to erroneous conclusions. Nevertheless, some authors either pay no attention to which parameters are nonidentifiable or do not appropriately account for possible prior‐dependence. We review the literature on this topic and consider simple examples to emphasize that in both inferential frameworks, the subjective components can influence results in nontrivial ways, irrespectively of the sample size. Specifically, we show that prior distributions commonly regarded as slightly informative or noninformative may actually be too informative for nonidentifiable parameters, and that the choice of over‐parametrized models may drastically impact the results, suggesting that a careful examination of their effects should be considered before drawing conclusions.     

Climate change and Australia's comparative advantage in broadacre agriculture1

Australia has long been a major exporter of the products of broadacre agriculture, a production system well suited to the economic and climatic conditions of the country. Presumably, it holds a comparative advantage in these products, among which grain crops and grazing livestock predominate. However, the future plausibility of this proposition is sensitive to the projected impacts of climate change. This article develops a framework to quantify the future patterns of comparative advantage in broadacre agriculture, given the projections of several global climate models. We find empirical support for the conventional wisdom, and note substantial resilience and robustness in Australia's comparative advantage under a number of scenarios.     

Community-Based Destination Governance in a Developing Economy: The Jamaican Experience

Utilizing a destination governance and social capital conceptual framework, the research examines opinions concerning goals and outcomes in regards to the Jamaican Ministry of Tourism's Ten-Year Master Plan to enhance tourism and increase shared governance. In addition to secondary sources of information, researchers use primary data obtained through an email survey sent to 540 Jamaican managers and executives, 18.3% of whom (n?=?99) completed the survey. Study findings may be deemed contrary to destination governance theory and best practices. However, upon closer examination, they are wholly consistent with theory and models that examine governance issues in developing nations. Arguably, Jamaica tourism may not be ready to fully embrace a network-based model of destination governance, but instead is in the process of evolving toward that model. The findings should be useful for the Jamaican and other developing nation's tourism industries. Further, it should spark discussion regarding governance differences between developing versus developed destinations.     

Pricing swing options in the electricity markets under regime-switching uncertainty

The spot price market for electricity is highly volatile. The time series of the daily average electricity price is characterised by seasonality, mean reversion, jumps, and regime-switching processes. In electricity markets, ‘swing’ contracts, which can provide some protection against the day-to-day price fluctuations, are used to incorporate flexibility in acquiring given quantities of electricity. We develop a lattice approach for the valuation of swing options by modelling the daily average price of electricity by a regime-switching process that utilises three regimes, consisting of Brownian motions and a mean-reverting process. Various numerical examples are presented to illustrate the methodology.     

Biometrics technology evaluating and selecting model building

Biometrics has been vigorously promoted around the world as a means to strengthen security and privacy in the IT world. Biometrics has been applied in specific areas for decades and proliferated in customer and resident electronic products to enhance security and privacy. This study evaluated biometrics through conventional technology assessment considerations combined with viewpoints from the particularity of biometric technologies and provides suggestions for selection. In order to achieve biometric technology assessment, we examined how different evaluating objects, technology assessment, biometric competence and key elements of biometric, lead to corresponding biometric technologies. The relative importance of each object was evaluated using the analytic hierarchy process. The weight of each object was adjusted separately to construct evaluating scenarios by sensitivity analysis. The results show that fingerprint recognition, iris recognition and palm print recognition are three biometric technologies that could meet the three objects requirements at the same time.     

Inventory in mainland China: Historical, industry, and geographic perspectives

We review inventories in mainland China by evaluating the trajectory of aggregate inventories in recent decades, and then modelling the relationship of inventories in some 300,000 manufacturers with respect to volume (using cost of goods sold), industry (using SIC codes), and geographical location (using the 31 regions of China). We find that inventories generally exhibit economies of scale (in terms of cost of goods sold) in all but one industry (tobacco), and differ widely by province, with relatively high inventories in remote regions.We provide explanations for apparent diseconomies of scale for large unlisted firms, and reflect on why publicly listed manufacturers have significantly higher inventories than do unlisted firms. We note that manufacturing inventories as a proportion of manufacturing value-added are substantially higher in China than in the US The results may be employed for benchmarking and auditing of firms and managers, as well as for conducting due diligence for investment, mergers and acquisitions.     

The Financial Knowledge Scale: An Application of Item Response Theory to the Assessment of Financial Literacy

Despite increasing interest in and funding for financial literacy and financial education programs in the private and public sectors, the field of financial literacy still has a major obstacle to overcome: the lack of a widely disseminated measure of financial literacy, developed through rigorous psychometric analyses. In this article, we develop such a measure, focusing specifically on financial knowledge. Using item response theory (IRT), we analyze items from three national surveys, resulting in a psychometrically sound 20‐item financial knowledge scale. By using IRT, the current analysis uses individuals' answers to inform which questions to include in the scale in the first place, rather than simply confirming relationships between these answers and other financially relevant outcomes post hoc. Widespread use of this index and the continued use of modern psychometric techniques would allow for the comparison of financial knowledge, measured consistently and reliably, across studies, populations, and programs.