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I. Introduction In a recent issue of this Journal, G. Briscoe and D.A. Peel present novel estimates of the relationship between aggregate excess labor demand and the rate of change of nominal wages. While I agree with their view that in explaining wage changes a more direct measure of excess labor demand than the unemployment rate would be preferred, I feel their method for calculating this measure is seriously flawed. While the authors explicitly hypothesize a disequilibrium process generating wage changes they ignore the implications labor market disequilibrium has for the estimation of their labor demand curve. I discuss below the implications of labor market disequilibrium for the Briscoe‐Peel method of estimating excess labor demand.

W.S. Reece (5) has commented on our recent study in this Journal (2) in which we attempted to compare a more comprehensive measure of excess demand for labour in the UK manufacturing sector and then applied the resulting series to help explain money wage inflation. Whilst agreeing with our argument for using excess demand for labour services in preference to the level of unemployment, Reece is unhappy with our estimates of the respective labour and hours demand functions and is also critical of our second stage procedure of deriving excess demand indices from the computed functions. We recognise the validity of Reece's objection to our method of obtaining the excess demand series and indeed, we conceded the difficulty of our approach in the original study (2, pp. 33–35). However, we do not consider that his criticism of our estimation of the labour and hours demand functions is correct, or that our subsequent application of this result need invalidate the original derivation of the input demands. Although we welcome new research which will permit superior methods for separately estimating demand and supply functions for markets in disequilibrium, we believe there remain some significant difficulties with the methods which Reece cites (3 and 4) as providing the basis for his ‘superior’ approach.

Whilst it is generally agreed that the key determinant of the current money wage inflation is anticipated increases in prices, there remains a significant role for excess demand variables. Many of the studies on inflation which have appeared following the original expositions of the Phillips curve relationship have been concerned with producing efficient measures of excess demand variables. In the basic model developed by Phillips and Lipsey, the key determining variable of the rate of growth of money wages was taken to be the percentage rate of unemployment in the labour force. However, several recent contributors to the literature on this type of relationship have challenged the efficiency of the level of unemployment as a measure of excess demand for labour and specifically they have produced evidence which contradicts the central assumption of stability between unemployment and aggregate excess demand. In the U.K. it has been observed how since the end of 1966, Phillips type relationships between levels of unemployment and the rate of change of money wages appear to have broken down and apparent ‘discontinuities’ in the aggregate unemployment series have been noted. All these findings taken together with some earlier U.S. studies which found poor relationships between changes in wages and unemployment levels (see, for example, the discussion in) have concentrated attention on the search for superior measures of excess demand.

This paper uses annual data from successive UK Labour Force Surveys to model occupational trends over the period 1981 to 1999. Time series models are developed for some nine occupational groups across 17 industrial sectors. Various economic variables, such as output, wages, unemployment, export and import shares are combined with different technology trend and interactive dummy terms to identify the most significant determinants of the changing demand for occupational skills. Data sets are pooled to overcome problems of shortages of degrees of freedom and to assist in the identification of the most statistically robust relationships. This methodology extends the analysis of occupational employment shares beyond the simple extrapolative approaches that have traditionally been applied.

The purpose of this paper is to explore the applicability and utility of supply chain (SC) segmentation through demand profiling to improve the effectiveness and efficiency of infrastructure projects by identifying different types of project demand profiles.

A three-stage abductive research design was adopted. Stage 1 explored the applicability of SC segmentation, through demand profiling, to the portfolio of infrastructure projects in a utility company. Stage 2 was an iterative process of “theory matching”, to the portfolio, programme and project management literature. In stage 3, theoretical saturation was reached and “theory suggestions” were made through four propositions.

Four propositions outline how SC segmentation through project demand profiling could improve the effectiveness and efficiency of infrastructure projects. P1: the ability to recognise the different demand profiles of individual projects, and groups thereof, is a portfolio management necessity. P2: projects that contribute to the strategic upgrade of a capital asset should be considered a potential programme of inter-related repeatable projects whose delivery would benefit from economies of repetition. P3: the greater the ability to identify different demand profiles of individual/groups of projects, the greater the delivery efficiency. P4: economies of repetition developed through efficient delivery of programmes of repeatable projects can foster greater efficiency in the delivery of innovative projects through economies of recombination.

This work fills a gap in the portfolio management literature, suggesting that the initial screening, selection and prioritisation of project proposals should be expanded to recognise not only the project type, but also each project’s demand profile.

Advocacy for the re‐integration of highly differentiated, at times fragmented, construction project “teams” and supply chains has increased in this era of network competition, yet industry targets remain elusive. This paper aims to report on findings of research focused on the development and validation of the building‐blocks for relationally integrated value networks (RIVANS) that seeks to redress this issue.

Complementary theoretical streams are identified through an extensive literature review, and are used to shape and inform discussions of the key RIVANS themes of value objectives, network management, learning, and maturity. Four moderated focus groups hosted in each of two workshops in Hong Kong, are used to validate these themes. Each workshop typically comprised thematic focus group sessions in between introductory presentations and a plenary consolidation session.

The findings indicate strong support for the comprehensive coverage, appropriateness and practical relevance of the key RIVANS themes. The findings also suggest that public sector clients and procuring agents need empowerment to provide adequate leadership and create the environmental contexts required in RIVANS.

The chosen research approach and context may temper the generalisability of the findings reported in this paper. Therefore, researchers are encouraged to test the proposed RIVANS concepts in other contexts.

Implications for the development of basic implementation templates for RIVANS are discussed.

This paper responds to a clearly identified need for integrative value‐based models of competitiveness in construction.

The purpose of this paper is to empirically investigate the effects of a major disaster on the management of human resources in the construction sector. It sets out to identify the construction skills challenges and the factors that affected skills availability following the 2010/2011 earthquakes in Christchurch. It is hoped that this study will provide insights for on-going reconstruction and future disaster response with respect to the problem of skills shortages.

A triangulation method was adopted. The quantitative method, namely, a questionnaire survey, was employed to provide a baseline description. Field observations and interviews were used as a follow-up to ascertain issues and potential shortages over time. Three focus groups in the form of research workshops were convened to gain further insight into the feedback and to investigate the validity and applicability of the research findings.

The earthquakes in Christchurch had compounded the pre-existing skills shortages in the country due to heightened demand from reconstruction. Skills shortages primarily existed in seismic assessment and design for land and structures, certain trades, project management and site supervision. The limited technical capability available nationally, shortage of temporary accommodation to house additional workers, time needed for trainees to become skilled workers, lack of information about reconstruction workloads and lack of operational capacity within construction organisations, were critical constraints to the resourcing of disaster recovery projects.

The research findings contribute to the debate on skills issues in construction. The study provides evidence that contributes to an improved understanding of the industry’s skills vulnerability and emerging issues that would likely exist after a major disaster in a resource-limited country such as New Zealand.

From this research, decision makers and construction organisations can gain a clear direction for improving the construction capacity and capability for on-going reconstruction. Factors that affected the post-earthquake skills availability can be considered by decision makers and construction organisations in their workforce planning for future disaster events. The recommendations will assist them in addressing skills shortages for on-going reconstruction.

Although the study is country-specific, the findings show the nature and scale of skills challenges the construction industry is likely to face following a major disaster, and the potential issues that may compound skills shortages. It provides lessons for other disaster-prone countries where the resource pool is small and a large number of additional workers are needed to undertake reconstruction.

Partnering has been at the top of the management agenda in the construction industry for many years as a means of improving performance. Previous research shows that partnering has not reached the desired level of strategic partnering, but stopped at project partnering. The purpose of this paper is to provide an analytical framing for transformation from project partnering towards strategic partnering with suppliers.

The framework is based on two building blocks: a case study of a contractor involved in implementing strategic partnering with four of its suppliers and a literature review dealing with partnering in construction; and models for close and long-term buyer-supplier collaboration in other contexts.

Transformation towards strategic partnering should preferably be based on extension of project partnering in two dimensions: extension in time through relationship development with suppliers and extension in space through increasing network orientation across projects.

Succeeding with relationship development and network orientation requires contractors to abandon two significant aspects of established construction logic that serve as significant implementation barriers. Competitive bidding in single projects needs to be replaced by collaboration over series of projects. The decentralisation of authority to the project level needs to be supplemented with increasing centralised decision making.

Previous research showed that despite the considerable interest in partnering there is a lack of systematic theorizing of the phenomenon. This paper contributes to theoretical anchoring through the combining of the case study and the literature review in the abductive approach applied.

This study investigates the relationship between “new career” profiles (Briscoe and Hall, 2006) and two sets of career factors: agency (i.e. career commitment, self-efficacy, and work locus of control), and career attitudes (i.e. salience and satisfaction). Thus, the purpose of this paper is to understand whether career profiles are a valuable way to understand careers in the modern career era, and if so, which profiles exist, and what differences exist across the profiles.

The participants in this study were 1,987 managers and professionals, recruited from a large database of potential respondents. Cluster analysis determined which profiles were apparent among the participants through a two-step clustering procedure using the Bayesian information criterion algorithm. The authors then compared the clusters using analysis of variance (ANOVA) with cluster membership as the independent variable and the career agency and attitude variables and age as the dependent variables.

Cluster analysis of the protean and boundaryless career attitudes of 1,987 respondents identified three career profiles: Trapped/Lost, Protean Career Architects, and Solid Citizens. ANOVA confirmed that people indicative of the three profiles differed significantly on all study variables. The findings suggest that the three different career profiles predict important differences in career variables and outcomes that are relevant to individual progression and growth needs and may be a valuable way to study contemporary careers. In particular, the person-centred approach acknowledges that the protean and boundaryless career concepts are related though distinct concepts that can be combined to show that individuals vary in the degree to which their career orientations are consistent with contemporary career constructs.

The authors have demonstrated that career profiles are a meaningful way to categorize career actors on the basis of their career orientation, as well as their scores on a host of important career variables. Although the study benefits from a large sample and a valid measure of career profiles, it does have some limitations. First, the authors relied on self-reported data gathered on a single survey questionnaire. Furthermore, because the study is cross-sectional, the authors cannot examine the long-term impact of career profile on outcomes such as career satisfaction or if career profiles are enduring or malleable over time.

From a practical perspective, it may be incumbent on organizations, career counsellors and individuals to develop an awareness to which career profile individuals belong (DeFillippi and Arthur, 1996). Doing so may offer insight into the likely challenges that career actors will face as their career unfolds, and ideally help individuals develop career management strategies to create career growth, rather than a more passive and reactive approach. A number of implications for each of the three career profiles are offered within the paper.

Utilizing a two-step clustering procedure, the authors provide empirical evidence of three of the 16 career profiles proposed by Briscoe and Hall (2006): Trapped/Lost, Protean Career Architects and Solid Citizens. Next, the authors explored the utility of the profiles for career development and demonstrated significant differences in career-related psychological factor and attitudes across profiles. Finally, the authors take a person-centric approach to career orientation, allowing for individual differences in career enactment. Overall, the results of this study show that career profiles are a highly useful composite that reflect important patterns relative to new career variables.

Due to the changes in the market, the shift to proactive and self-developed career management is evident. It results in the emergence of contemporary career attitudes, namely, protean and boundaryless ones. Individuals with protean career (PC) and boundaryless career (BC) attitudes may be more inclined to switch jobs, which affect decreased organizational commitment. The purpose of this paper is to analyze whether PC and BC attitudes affect organizational commitment of young adults in finance sector.

The data of 177 young Lithuanian adults from finance sector were collected in quantitative research.

The research results indicate that young adults in finance sector have contemporary career attitudes significantly expressed. The regression analysis findings show that affective commitment is positively predicted by self-directed career management and boundaryless mindset, and negatively predicted by values-driven career orientation and organizational mobility preference. Continuance commitment is negatively predicted by self-directed career management and organizational mobility preference.

This research is valuable as few if any studies cover contemporary career attitudes and organizational commitment of already working young adults in finance sector in a European country, namely, Lithuania.