Management literature prescribes innovation as a stimulus for sustained competitive advantage in companies; however, the nature of the development in this field has resulted in the literature being broad and fragmented. This paper focuses on the body of literature concerned with the factors which influence innovation management in organisations. The aim of this research is to present a holistic view of the factors that affect innovation management. Using a systematic literature review approach, using over 100 papers, this research identifies nine key factors that impact on an organisation's ability to manage innovation. These nine factors have been identified as management style and leadership, resources, organisational structure, corporate strategy, technology, knowledge management, employees and innovation process. This paper then discusses the inductively derived model that presents the important relationships identified between the factors to present a holistic view of innovation management. From this, we open up the debate on innovation management as a systemic approach rather than being focused on the singular factors. We can therefore conclude that a number of dominant relationships exist between the factors with the innovation process being the only endogenous factor within the model.

Growing environmental concerns caused by natural resource depletion and pollution need to be addressed. One approach to these problems is Sustainable Development, a key concept for our society to meet present as well as future needs worldwide. Manufacturing clearly has a major role to play in the move towards a more sustainable society. However it appears that basic principles of environmental sustainability are not systematically applied, with practice tending to focus on local improvements. The aim of the work presented in this paper is to adopt a more holistic view of the factory unit to enable opportunities for wider improvement. This research analyses environmental principles and industrial practice to develop a conceptual manufacturing ecosystem model as a foundation to improve environmental performance. The model developed focuses on material, energy and waste flows to better understand the interactions between manufacturing operations, supporting facilities and surrounding buildings. The research was conducted in three steps: (1) existing concepts and models for industrial sustainability were reviewed and environmental practices in manufacturing were collected and analysed; (2) gaps in knowledge and practice were identified; (3) the outcome is a manufacturing ecosystem model based on industrial ecology (IE). This conceptual model has novelty in detailing IE application at factory level and integrating all resource flows. The work is a base on which to build quantitative modelling tools to seek integrated solutions for lower resource input, higher resource productivity, fewer wastes and emissions, and lower operating cost within the boundary of a factory unit.

Sustainable manufacturing appears to be a rapidly developing field and it would be expected that there is a growing body of knowledge in this area. Initial examination of the literature shows evidence of sustainable work in the areas of product design, supply chain, production technology and waste avoidance activities. Manufacturers publish metrics showing significant improvements in environmental performance at high level but information on how these improvements are achieved is sparse. Examining peer reviewed publications focused on production operations there are few cases reporting details and there has been little prior analysis of published sustainable manufacturing activity. Moreover, the mismatch between academic and practitioner language leads to challenges in interpretation. This paper captures and analyses the types of sustainable manufacturing activities through literature review. In turn this can help manufacturers to access examples of good practice and help academics identify areas for future research.

Purpose: This paper reviews current literature and contributes a set of findings that capture the current state-of-the-art of the topic of green production.

Design/methodology/approach: A literature review to capture, classify and summarize the main body of knowledge on green production and, translate this into a form that is readily accessible to researchers and practitioners in the more mainstream operations management community.

Findings: The existing knowledge base is somewhat fragmented. This is a relatively unexplored topic within mainstream operations management research and one which could provide rich opportunities for further exploration.

Originality/value: This paper sets out to review current literature, from a more conventional production operations perspective, and contributes a set of findings that capture the current state-of-the-art of this topic.

A sustainable society cannot be realised without more efficient approaches and technologies which must in part be provided by manufacturing. Available literature covers the principles for making manufacturing more sustainable, but there is little, if any, practical guidance to show how to apply these principles. Lower level guidelines are required to provide guidance on systematically analysing manufacturing facilities and to assist with the identification and selection of improvement opportunities. This paper reports on work to develop guidelines for Material, Energy and Waste (MEW) process flow modelling to support the pursuit of sustainable manufacturing. Using qualitative MEW process flow maps of a case facility, data was collected to build a spreadsheet model aligned to each of the MEW process flows. The quantitative analysis provided detailed insight into the MEW process flows within the system and assisted with the identification and selection of environmental efficiency improvements. The key learning points from conducting the analysis generated a set of guidelines to aid the analysis of manufacturing systems, using MEW process flow modelling. This paper documents the approach developed and the environmental performance improvement opportunities identified in the case facility.