Search results

The manpower policy “revolution” of the 1960s involved attempts to move the public employment services of most industrialised countries away from their traditional exchange or brokerage function of trying to match individual job applicants with available job openings registered by employers. Conversely a great deal more attention was given to the provision of various manpower policy measures designed to alter the labour market characteristics of the “hard core” unemployed in order to increase their immediate and longer‐term employment prospects.

Mobility processes, the routines that organizations use to move employees into and across jobs, are a critical determinant of the way that human capital is allocated within organizations and careers developed. Most existing work on these mobility processes has examined processes in which mobility is tightly coupled to the filling of vacancies. There is substantial evidence, though, that many organizations adopt very different processes for managing mobility. In this theory chapter, I compare vacancy-based, “job-pull” systems with alternative, “person-push” systems in which mobility is keyed to employees' attainment of performance and skill thresholds to explain how and why mobility processes vary. I identify two, inter-related dimensions along which mobility processes vary: whether their decision processes emphasize the need to match employees to tasks versus providing predictable rewards; and whether the system of jobs that people move between prioritizes flexibility or control of agency costs. I use these dimensions to predict when organizations will adopt different mobility processes, and how those processes will affect employees' mobility.

The purpose of this paper is to extend the studies of commercial property cycles by providing a cross-field approach to property markets modelling.

The approach allows for the incorporation of market shocks into the property cycle model as fundamental building blocks; assessment of overall market absorption generated through cyclic activity; and timing estimation of major market events. An ideal model is first constructed, which relies on an observation that a property cycle consists of four distinctive phases. These are described formally through appropriate formulae. Subsequently, it is observed that an analogous cyclic behaviour is described in physics as the Otto cycle. The formulae derived in physics for the Otto cycle are now redefined so to be applicable to the property market.

The model has been applied to the London office market, both to the historic and the current data sets. This allowed for the comparison of model predicted absorption and vacancies with the historic records, providing for assessment of the model accuracy. The model predicted that absorption was also compared with historic space supply allowing for estimation of oversupply and resultant vacancies. London office submarkets were analysed and compared to each other, allowing for estimation of their relative attractiveness as perceived by tenants and developers.

The model may be used to estimate cycle generated absorption; therefore, over and under supply of space due to developers’ activity may be assessed. It is also possible to use the model to assess the timing of future market peaks and troughs.

This is the first research directly applying the methodology developed in physics to commercial property cycles.

The purpose of this paper is to examine the dynamics of labour market flows over the business cycle through a vacancy chain model. It provides a direct computation of vacancy chains using micro data, empirically investigates the relationship between chain length and the characteristics of jobs and workers initiating the chain, and finally assesses the wage progression of workers moving along the chain.

The paper draws on a longitudinal matched employer-employee database covering all employees in manufacturing in a large region of Italy. A transparent algorithm for vacancy chain computation is developed and standard econometric techniques are employed to analyze job-to-job transitions within identified chains.

Vacancy chains account on average for more than one-third of total hires, and both the number and the length of chains are clearly pro-cyclical. Chains set in motion by women workers, young, old, blue collars, or employed by small firms tend to be shorter. There is a well-defined wage progression from the tail to the head of the chain, revealing that workers are sorted along chains according to skill and/or bargaining power.

There is a limited possibility of identifying separately individual ability and bargaining power.

The vacancy chain methodology can increase the ability of policy makers to produce detailed maps of the labour market and identify worker profiles associated with poor outcomes and hence deserving special attention.

For the first time, this paper operationalizes the vacancy chain approach on a large scale, at a very high level of detail, and over a long-time span.

In recent years separate bodies of literature on vacancy notification and employee mobility have evolved for Migration and Human Resource Management specialisms. Whilst the foci of these investigations have had much in common, examination of the literature suggests that many authors appear to have limited knowledge of the work undertaken outside their specialism. Concentrates on those two aspects of the recruitment process where integration of the literature is likely to be of most benefit: vacancy notification and subsequent employee mobility. Compares and contrasts the specialisms′ approaches to examining the recruitment process and highlights a series of issues where knowledge and understanding of how these aspects of the labour market operate is limited. These include the use of information channels, the impact of labour market factors on employee mobility and the ability of incentives to overcome employee inertia.

This study aims to explore the spatial externalities of apartment vacancy rates on housing rent by considering multiple vacancy durations.

This research uses smart meter data to measure unobservable vacant houses. This study made a significant contribution by applying building-level smart meter data to housing market analysis. It examined whether vacancy duration significantly affected apartment rent and whether the relationship between apartment rent and vacancy rate differed depending on the level of housing rent.

The primary finding indicates that there is a significant negative correlation between apartment rent and vacancy duration. Considering the spatial externalities of apartment vacancy rates, the apartment vacancy rates of surrounding buildings did not show any statistical significance. Moreover, quantile regression results indicate that although the bottom 10% of apartment rent levels showed a negative correlation with all vacancy durations, the top 10% showed no statistical significance related to vacancies.

This study measures the extent of spatial externalities that can differentiate taxation based on housing vacancies.

The findings indicate that landlords have asymmetric information about their buildings compared with the surrounding buildings, and the extent to which price adjusts for long-term vacancies differs depending on the level of apartment rent.

The purpose of this paper is to investigate the diffusion behaviors of different atoms at the Cu/Cu3Sn interface and the vacancy formation energy, diffusion energy barrier and vacancy diffusion activation energy.

The diffusion behaviors of different atoms at the Cu/Cu3Sn interface are analyzed, and the vacancy formation energy, diffusion energy barrier and vacancy diffusion activation energy are obtained using molecular dynamics simulation. The nudged elastic band method is used to evaluate diffusion energy barrier for Cu/Cu3Sn system.

It is found that the vacancies in the Cu/Cu3Sn interface promote the interfacial diffusion, and the formation energy of Cu vacancy in the Cu crystal is larger than that in Cu3Sn crystal. In addition, the formation energies of Cu1 vacancy and Cu2 vacancy are close to each other in Cu3Sn crystal, and they are all less than the formation energy of Sn vacancy. Furthermore, the vacancy diffusion barrier and vacancy diffusion activation energy of the Cu/Cu3Sn interface are calculated, and the results show that the vacancy diffusion activation energy of Sn was higher than that of Cu. Finally, by comparison of diffusion activation energies of different diffusion mechanisms, Cu→Cu1vac is the most possible migration path at all temperatures.

It is concluded that the vacancies in Cu/Cu3Sn interface promote interfacial diffusion, and the activation energy of vacancy diffusion in most diffusion mechanisms decreases with the increase of temperature.

The purpose of this paper is to propose a framework of an automatic bidirectional matching system that measures the degree of semantic similarity of job-seeker qualifications and skills, against the vacancy provided by employers or job-agents.

The paper presents a framework of bidirectional jobseeker-to-vacancy matching system. Using occupational data from various sources such as the WageIndicator web survey, International Standard Classification of Occupations, European Skills, Competences, Qualifications, and Occupations as well as vacancy data from various open access internet sources and job seekers information from social networking sites, the authors apply machine learning techniques for bidirectional matching of job vacancies and occupational standards to enhance the contents of job vacancies and job seekers profiles. The authors also apply bidirectional matching of job seeker profiles and vacancies, i.e., semantic matching vacancies to job seekers and vice versa in the individual level. Moreover, data from occupational standards and social networks were utilized to enhance the relevance (i.e. degree of similarity) of job vacancies and job seekers, respectively.

The paper provides empirical insights of increase in job vacancy advertisements on the selected jobs – Internet of Things – with respect to other job vacancies, and identifies the evolution of job profiles and its effect on job vacancies announcements in the era of Industry 4.0. In addition, the paper shows the gap between job seeker interests and available jobs in the selected job area.

Due to limited data about jobseekers, the research results may not guarantee high quality of recommendation and maturity of matching results. Therefore, further research is required to test if the proposed system works for other domains as well as more diverse data sets.

The paper demonstrates how online jobseeker-to-vacancy matching can be improved by use of semantic technology and the integration of occupational standards, web survey data, and social networking data into user profile collection and matching.

This paper seeks to contribute to knowledge of the dynamics of global office markets with an assessment of the interaction of rental growth and vacancy rates across a sample of the world's leading office markets.

Econometric methods are used to estimate the relationship between rental growth and vacancy rates (taking into account the possible simultaneity between the two variables) and these equations are then used to estimate the natural vacancy rate at an individual city level and collectively for the three regions assessed (Europe, Asia Pacific and North America). An estimate is also made of the global natural vacancy rate.

The results suggest that estimates of natural vacancy rates vary significantly across the world but these estimates can be helpful to those seeking to understand global office markets. European markets in general have lower natural vacancy rates than those in North America. In Asia Pacific markets there is a greater variation between markets. In general developed markets have lower natural vacancy rates than developing ones. In developing markets the concept of a natural vacancy rate is one that should be applied with care, given the weakness of data and the speed with which they are undergoing structural change. When examining the differences in natural vacancy rates between markets, it is clear that fundamental supply and demand factors are key in driving those differences.

“Rule of thumb” estimates of natural vacancy rates are relatively common. However, a robust methodology for calculating natural vacancy rates is a powerful analytical tool for investors, occupiers and real estate advisors, as it enables a judgement of what supply/demand balance will trigger rental growth.

In estimating the natural vacancy rate across a sample of the world's leading office markets the paper makes an original contribution to the understanding of global office markets and in particular delivers an appreciation of how rental growth and vacancy rates interact.

The purpose of this paper is to explore the use of chiral single‐walled carbon nanotubes (SWCNTs) as mass sensors. Analysis of SWCNT with chiralities is performed using an atomistic finite element model based on a molecular structural mechanics approach.

The cantilever carbon nanotube (CNT) is modeled by considering it as a space frame structure similar to three‐dimensional beams and point masses. The elastic properties of the beam element are calculated by considering mechanical characteristics of covalent bonds between the carbon atoms in the hexagonal lattice. The mass of each beam element is assumed as point mass at nodes coinciding with carbon atoms. An atomistic simulation approach is used to find the natural frequencies and to study the effects of defect like atomic vacancies in CNTs on the resonant frequency. The migration of the atomic vacancies along the length is observed for different chiralities.

A reduction in the simulated natural frequency is observed with the maximum value occurring, when the vacancy is found nearer to the fixed end. It is quite evident from the simulation results that the effect of vacancies is significant, and the effect diminishes at 10⁻² femtograms mass. Using the higher modes of vibration of SWCNT‐based mass sensors, the amount and the position of the mass on the nanotube can be identified.

CNT have been used as mass sensors extensively. The present approach is focused to explore the use of chiral SWCNT as sensing device with vacancy defect in it. The variation of the atomic vacancies in CNT along the length has been taken and is analyzed for different chiralities. The effects of defect like atomic vacancies in CNTs on the resonant frequency have been analyzed and observed that the maximum reduction in natural frequency occurs when the vacancy is found nearer to the fixed end due to large stiffness variation.