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From modest beginning a decade ago and foresight in the planning stages has grown an inexpensive, efficient and effective on‐line retrieval system. This paper traces the development and mechanization which resulted in a viable bibliographic information system, describes its present capabilities, and indicates directions for future growth.

VINE is produced at least four times a year with the object of providing up‐to‐date news of work being done in the automation of library housekeeping processes, principally in the UK. It is edited and substantially written by Tony McSean, Information Officer for Library Automation based,in Southampton University Library and supported by a grant from the British Library Research and Development Department. Copyright for VINE articles rests with the British Library Board. The subscription to VINE is £10 a year.

THE luncheon given by the Lord Mayor, Sir Ralph Perring, to more than 700 guests at Guildhall on November 14, officially launched the country on National Productivity Year. Apart from representatives of the 120 local committees these were people from trade and employers' associations, trades unions, professional bodies and research organisations. It was, in effect, a token mobilisation of Britain's industrial might, because behind it stands a large army devoted to the task of increasing the country's output.

There have been numerous efforts to tackle the problem of accumulated construction and demolition wastes worldwide. In this regard, this study develops a model for identifying the optimum fleet required for waste transportation. The proposed model is validated through a case study from the construction sector in New Cairo, Egypt.

Various fleet combinations are assessed against the time, cost, energy and emissions generated from waste transportation. Genetic algorithm optimization is performed to select the near-optimum solutions. Complex proportional assessment and operational competitiveness rating analysis decision-making techniques are applied to rank Pareto frontier solutions. These rankings are aggregated using an ensemble approach based on the half-quadratic theory. Finally, a sensitivity analysis is implemented to determine the most sensitive attribute.

The results reveal that the optimum fleet required for construction and demolition wastes (CDW) transportation consists of one wheel loader of bucket capacity 2.5 cubic meters and nine trucks of capacity 22 cubic meters. Furthermore, consensus index and trust level of 0.999 are obtained for the final ranking. This indicates that there is a high level of agreement between the rankings. Moreover, the most sensitive criterion (i.e. energy) is identified using a sensitivity analysis.

This study proposes an efficient and effective construction and demolition waste transportation strategy that will lead to economic gains and protect the environment. It aims to select the optimum fleet required for waste transportation based on economic, social and environmental aspects. The usefulness of this study is establishing a consensual decision through the aggregation of conflicting decision makers' preferences in waste transportation and management.

March 12, 1970 Master and Servant — Hire of plant — Mechanical excavator and driver — Substitution of third party's excavator and driver — Instructions to driver by hirer — Negligence of driver — Whether driver servant of hirer — “Course of employment” — Whether third party liable for driver's negligence.

This paper presents a model for equipment selection in earthmoving operations, utilizing multi‐attribute utility theory, analytical hierarchy process and computer simulation. Fleet configurations in the developed model are generated randomly from predefined fleet scenarios within a specified range. Simulation experiments are conducted for these generated configurations. The performance of these configurations is obtained from simulation experiments in the form of four measures which represent loader utilization, hauler utilization, project duration and project total cost. The utility values which represent the degree of satisfaction with those measures are estimated. These utility values are multiplied by their corresponding measures’ weights, calculated utilizing the analytical hierarchy process, in order to estimate the expected utility for each configured fleet. The fleet configuration that has the largest utility value is selected as the optimum fleet for the case at hand. A numerical example is presented to illustrate the different features of the developed model.

This paper develops and tests a model for explaining small and medium-size enterprise (SME) participation and success in public procurement. The model is informed by a capability-based view of public sector tendering that includes relational and procedural dimensions. To test the model a survey was carried out on firms competing for contracts with Irish public sector organizations (n = 3010). The survey was repeated one year later to demonstrate reliability (n = 3092). Overall, the results lend support to the model. Procedural capability is associated with frequency of tendering and typical value of contract sought. Relational capability is not. Procedural and relational capabilities are each significant in accounting for success rates in contract competitions and commercial orientation towards the public sector.

Although small- and medium-sized enterprises (SMEs) play major roles in most economies in terms of job creation, innovation and contribution to national income, they are often underrepresented in public procurement markets. This paper aims to explore how the dynamic capabilities theory can improve SME participation in public procurement.

Through a systematic literature review, the paper identifies common barriers to the effective participation of SMEs in public procurement and explores the applicability of the dynamic capabilities theory in addressing these barriers.

A theoretical analysis was conducted to identify possible relationships between the factors reported in the literature as barriers to SME participation in public procurement and different components of the dynamic capabilities of firms (i.e. sensing, seizing, reconfiguring and learning). Seven key propositions were generated to guide future research.

Despite its contributions, this paper is based solely on a systematic literature review and theoretical analysis. Future studies could use meta-analysis to review multiple studies relating to the nexus between SMEs and public procurement, hence improving methodological rigour.

The paper contributes to the ongoing debate about whether and how SMEs can leverage their resources and capabilities to develop self-help strategies to improve participation in public procurement, an area yet underexplored in the literature.

This is one of the few studies examining the implications of firm-level capabilities of SME activity in public procurement markets. The findings may be beneficial to SME managers/owners, particularly regarding firms' ability to leverage resources and capabilities to participate effectively in public procurement.