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The paper presents one of the first attempts to identify and categorise the fundamental barriers currently preventing the multibillion semiconductor equipment manufacturing industry from implementing existing B2B e-trading models for its secondary market. It furthermore proposes a global e-business strategy supporting aftermarket integration with the industry's supply chain.

Because of the global nature of the industry, the research employs a multiple case-study design to explore the state-of-the-art in semiconductor excess management. The data for this analysis are obtained through a number of in-depth interviews with experts from a cross-section of the industry, and further supplemented and validated with a systematic literature review and public corporate data.

The results indicate that significant market imperfections still exist in the industry due to information and knowledge deficits, organisational inefficiency and IP-related concerns. The considerable levels of third-party competition to the original equipment manufacturers raise questions about the existence and efficacy of reverse logistics processes and Closed-Loop Supply Chain (CLSC) management strategies in this industry. It has been shown that a leaner semiconductor supply chain is achievable through the implementation of the proposed B2B e-marketplace, maintaining the information exchange on the surplus/obsolete equipment and parts.

These outcomes are unique for supporting the design of the first global e-marketplace for the secondary semiconductor equipment and spares. The results can, furthermore, inform the standardisation of the semiconductor aftermarket transactions, streamline knowledge exchange mechanisms amongst different industry players and improve pricing strategies. These contribute to knowledge of principles allowing the aftermarket e-trading to become a key part of the value network in high-tech manufacturing industries.

The paper aims to report on an integrated techno-economic framework for the performance analysis of energy production based on the renewable energy resources (RERs). Whilst the majority of existing studies have focussed on technical aspects of RER modelling, the proposed framework incorporates financial assessment into the process of appraising the alternatives of hydropower, wind energy and solar energy infrastructures. An approach to the optimal choice of RER deployment for a specific developing region is formulated and applied to Ghana.

A model comprising technical and economic parameters was developed for analysing the investment rankings of different RERs and comparing them to that of conventional energy sources such as the natural gas combined cycle (NGCC) electric plant. The analysis also included the carbon cost and power generation capacity. The total life cycle costing and levelised cost of energy generated from each resource were modelled for three corporate ownership structures: a public utility that is not tax-liable (no-tax case); organisational power generation for internal use, ultimately concerned with its after-tax costs (after-tax case); and an independent power producer for the market, with before-tax revenues covering all costs (before-tax case).

Using the empirical data from Ghana together with the proposed framework, it is shown that when carbon incentives are provided, the hydroelectric and wind conversion infrastructures can effectively compete with the conventional NGCC in this country, whilst with no carbon credit, NGCC still appears to be the most viable option.

Policy-related recommendations on carbon incentives and preferential power purchase prices, which are critical for widespread RER deployment, can be directly derived from this research.

The study represents a comprehensive decision-making tool that can be used in regulatory and investment analysis on the expansion of RER systems in the developing countries.