Job performance ratings: The relative importance of mental ability, conscientiousness, and career adaptability

According to career construction theory, continuous adaptation to the work environment is crucial to achieve work and career success. In this study, we examined the relative importance of career adaptability for job performance ratings using an experimental policy-capturing design. Employees (N = 135) from different vocational backgrounds rated the overall job performance of fictitious employees in 40 scenarios based on information about their career adaptability, mental ability, conscientiousness, and job complexity. We used multilevel modeling to investigate the relative importance of each factor. Consistent with expectations, career adaptability positively predicted job performance ratings, and this effect was relatively smaller than the effects of conscientiousness and mental ability. Job complexity did not moderate the effect of career adaptability on job performance ratings, suggesting that career adaptability predicts job performance ratings in high-, medium-, and low-complexity jobs. Consistent with previous research, the effect of mental ability on job performance ratings was stronger in high- compared to low-complexity jobs. Overall, our findings provide initial evidence for the predictive validity of employees' career adaptability with regard to other people's ratings of job performance.

Relative importance of false positives in the selection process

This study investigated the role of contextual factors in personnel selection. Specifically, I explored if specific job factors such as the wage, training, available applicant pool and security concerns around a job, influenced personnel decisions. Additionally, I explored if the individual differences of decision makers played a role in how the previously mentioned job factors affected their decisions. A policy-capturing methodology was employed to determine the weight participants place on the job factors when selecting candidates for different jobs. Regression and correlational analyses were computed with the beta weights obtained from individual regression analyses. The results obtained from the two samples (student and general population) revealed that specific job characteristics did indeed influence personnel decisions. Participants were more concerned with making mistakes and thus less likely to accept candidates when selecting candidates for jobs having high salary and/or high training requirements.

Individual differences in preferences for recruitment websites

This study investigated individual differences in preferences for recruitment websites. Specifically, I expected that personality and ethnic identity would be related to individuals' preferences for corporate websites. A policy-capturing methodology was employed to determine the weight participants place on five website characteristics (i.e. navigability, information relevancy, diversity information, privacy, and contact). Regression and correlational analyses were employed with the five beta weights obtained from individual regression analyses and the other individual differences measures. Results from two samples (student and general population) revealed that, generally, individuals do not differ in the weight they place on different aspects of recruitment websites. However, this study is the first to investigate individual differences in preferences for recruitment websites. Thus, it seems premature to conclude that such differences do not exist. Given its uniqueness, hopefully this study will stimulate research that further elucidates the process by which individuals interpret and evaluate recruitment websites.

Transportation disadvantage impedance indexing: A methodological approach to reduce policy shortcomings

Access to transport systems and the connection to such systems provided to essential economic and social activities are critical to determine households' transportation disadvantage levels. In spite of the developments in better identifying transportation disadvantaged groups, the lack of effective policies resulted in the continuum of the issue as a significant problem. This paper undertakes a pilot case investigation as test bed for a new approach developed to reduce transportation policy shortcomings. The approach, ‘disadvantage-impedance index’, aims to ease transportation disadvantages by employing representative parameters to measure the differences between policy alternatives run in a simulation environment. Implemented in the Japanese town of Arao, the index uses trip-making behaviour and resident stated preference data. The results of the index reveal that even a slight improvement in accessibility and travel quality indicators makes a significant difference in easing disadvantages. The index, integrated into a four-step model, proves to be highly robust and useful in terms of quick diagnosis in capturing effective actions, and developing potentially efficient policies.

Capturing "organised crime" in Australian Law

This briefing paper presents and foreshadows ongoing PhD research by the first author into how understandings of organised crime in Australia have been shaped, and the extent to which these perceptions have influenced legislative and policing responses. It begins with an historical survey of significant models of organised crime, then reviews current Australian legislative strategies, and goes on to raise questions about the conceptual model that underpins these strategies. The paper concludes with a discussion of the potential policy implications of this research.

Participatory Action Research with and within community activist groups: capturing the collective experience of Ireland's Community and Voluntary Pillar

The inclusion of community activists in policy planning is increasingly recognized at the highest international level. This article shows how the use of Participatory Action Research (PAR) can present a deeper and more holistic picture of the experiences of Civil Society Organizations (CSOs) in shaping national-level social policy. By utilizing action-based research, the Community and Voluntary Pillar (CVP) of Ireland’s system of social partnership is shown to be an important agent in deliberating national bargaining outcomes (known as the Towards 2016 national agreement). The key contribution of this research is the reflective methodological considerations in terms of PAR design, execution and participant integration in the research process as a way to enrich and develop a deeper and more informed community of practice.

New ICT sectors: platforms for European growth? Bruegel Policy Contribution 2012/14, August 2012

Europe's failure to specialise in new ICT sectors and firms is likely to hold back Europe’s post-crisis recovery. Europe lacks in particular leading platform providers, who are capturing most of the value in the new ICT ecosystem. • In-depth analysis of some specific new emerging ICT sectors shows that the problem in Europe appears not to be so much in the generation of new ideas, but rather in bringing ideas successfully to market. Among the barriers are the lack of a single digital market, fragmented intellectual property regimes, lack of an entrepreneurial culture, limited access to risk capital and an absence of ICT clusters. • The EU policy framework, particularly the Innovation Union and Digital Agenda EU 2020 Flagships, could better leverage the growth power for Europe of new ICT markets. The emphasis should move beyond providing support for infrastructure and research, to funding programmes for pre-commercial projects. But perhaps most important is dealing with the fragmentation in European digital markets.

Incorporating technology buying behaviour into UK-based long term domestic stock energy models to provide improved policy analysis

The UK has a target for an 80% reduction in CO2 emissions by 2050 from a 1990 base. Domestic energy use accounts for around 30% of total emissions. This paper presents a comprehensive review of existing models and modelling techniques and indicates how they might be improved by considering individual buying behaviour. Macro (top-down) and micro (bottom-up) models have been reviewed and analysed. It is found that bottom-up models can project technology diffusion due to their higher resolution. The weakness of existing bottom-up models at capturing individual green technology buying behaviour has been identified. Consequently, Markov chains, neural networks and agent-based modelling are proposed as possible methods to incorporate buying behaviour within a domestic energy forecast model. Among the three methods, agent-based models are found to be the most promising, although a successful agent approach requires large amounts of input data. A prototype agent-based model has been developed and tested, which demonstrates the feasibility of an agent approach. This model shows that an agent-based approach is promising as a means to predict the effectiveness of various policy measures.

The housing market channel of monetary policy transmission in the Euro area

Purpose – The purpose of this paper is to explore the role of the housing market in the monetary policy transmission to consumption among euro area member states. It has been argued that the housing market in one country is then important when its mortgage market is well developed. The countries in the euro area follow unitary monetary policy, however, their housing and mortgage markets show some heterogeneity, which may lead to different policy effects on aggregate consumption through the housing market. Design/methodology/approach – The housing market can act as a channel of monetary policy shocks to household consumption through changes in house prices and residential investment – the housing market channel. We estimate vector autoregressive models for each country and conduct a counterfactual analysis in order to disentangle the housing market channel and assess its importance across the euro area member states. Findings – We find little evidence for heterogeneity of the monetary policy transmission through house prices across the euro area countries. Housing market variations in the euro area seem to be better captured by changes in residential investment rather than by changes in house prices. As a result we do not find significantly large house price channels. For some of the countries however, we observe a monetary policy channel through residential investment. The existence of a housing channel may depend on institutional features of both the labour market or with institutional factors capturing the degree of household debt as is the LTV ratio. Originality/value – The study contributes to the existing literature by assessing whether a unitary monetary policy has a different impact on consumption across the euro area countries through their housing and mortgage markets. We disentangle monetary-policy-induced effects on consumption associated with variations on the housing markets due to either house price variations or residential investment changes. We show that the housing market can play a role in the monetary transmission mechanism even in countries with less developed mortgage markets through variations in residential investment.

Are CGE Models still useful in economic policy making?

This paper develops background considerations to help better framing the results of a CGE exercise. Three main criticisms are usually addressed to CGE efforts. First, they are too aggregate, their conclusions failing to shed light on relevant sectors or issues. Second, they imply huge data requirements. Timeliness is frequently jeopardised by out-dated sources, benchmarks referring to realities gone by. Finally, results are meaningless, as they answer wrong or ill-posed questions. Modelling demands end up by creating a rather artificial context, where the original questions lose content. In spite of a positive outlook on the first two, crucial questions lie in the third point. After elaborating such questions, and trying to answer some, the text argues that CGE models can come closer to reality. If their use is still scarce to give way to a fruitful symbiosis between negotiations and simulation results, they remain the only available technique providing a global, inter-related way of capturing economy-wide effects of several different policies. International organisations can play a major role supporting and encouraging improvements. They are also uniquely positioned to enhance information and data sharing, as well as putting people from various origins together, to share their experiences. A serious and complex homework is however required, to correct, at least, the most dangerous present shortcomings of the technique.

The world innovation landscape: Asia rising? Bruegel Policy Contribution 2013/02, February 2013

Highlights • Research and development spending has risen rapidly in Asia, particularly in China, which is now the world’s second R&D spender behind the United States.The increase in Korean and Chinese patent applications has been even more rapid, but Chinese patenting for exploitation on the main markets for innovation(the European Union, Japan and the US) is still marginal. • Asia's increased innovation spending is most prominently related to information and communication technologies. Overall, the Chinese and Korean economies are still not specialised in knowledge-intensive goods and services.Furthermore, China in particular is not (so far) capturing much value from its role as a manufacturer and exporter of high-tech goods; China remains mostly an assembler of goods, the value of which is created elsewhere. • It would be wrong to ignore China's innovation potential on the basis of its current performance. Its clear innovation ambitions are likely to drive its future growth. • Europe is struggling much more than the US to retain its place at the global innovation table. The EU should use Asia’s capacity building in innovation as an opportunity for value capture.