The purpose of this paper is to delineate a green supply chain (GSC) performance measurement framework using an intra-organisational collaborative decision-making (CDM) approach. A fuzzy analytic network process (ANP)-based green-balanced scorecard (GrBSc) has been used within the CDM approach to assist in arriving at a consistent, accurate and timely data flow across all cross-functional areas of a business. A green causal relationship is established and linked to the fuzzy ANP approach. The causal relationship involves organisational commitment, eco-design, GSC process, social performance and sustainable performance constructs. Sub-constructs and sub-sub-constructs are also identified and linked to the causal relationship to form a network. The fuzzy ANP approach suitably handles the vagueness of the linguistics information of the CDM approach. The CDM approach is implemented in a UK-based carpet-manufacturing firm. The performance measurement approach, in addition to the traditional financial performance and accounting measures, aids in firm’s decision-making with regard to the overall organisational goals. The implemented approach assists the firm in identifying further requirements of the collaborative data across the supply-cain and information about customers and markets. Overall, the CDM-based GrBSc approach assists managers in deciding if the suppliers’ performances meet the industry and environment standards with effective human resource.

Purpose: – The purpose of this paper is to present a case study of the implementation of Lean Six Sigma techniques through a series of student projects carried out in a hospital setting. Design/methodology/approach: – The five projects were carried out by teams of Masters' students taking a module on operations and quality management. The students were all staff members of the hospital. The study analysed each of the five projects under a number of headings: setting and context, approach, key success factors, benefits and lessons learnt. The projects were then examined to identify patterns among the projects. Findings: – All student projects adopted a single foundation methodology as the basis for the project, but supported this with additional techniques from the Lean Six Sigma stable. The primary methodology was Lean in the case of three projects, Six Sigma in the case of one project and mistake proofing in the case of the final project. The most commonly used supporting techniques were process mapping, seven wastes, 5S and logic tree/root cause which were each used in two of the five projects. Other techniques used were control charts, checklists and theory of constraints, which were each used by one project team. Support from top management and regular communication with stakeholders were identified as key factors for success by three of the five project teams. All of the projects, although implemented during a time period of less than three months, and by relatively novice users of Lean Six Sigma techniques, yielded practical benefit to the hospital. Research limitations/implications: – This paper examines a number of Lean Six Sigma projects carried out in an Irish hospital. Students were tasked to examine and improve the efficiency and effectiveness of a clinical or/and an administrative process within the hospital. Arguably, a single module on a Master's program in healthcare leadership and organisational change is insufficient to bring about large-scale process change in a single hospital in particular, or to the Irish healthcare sector in general, but it is a start, and as these projects demonstrate it provides a set of tools, techniques and effective methods for instigating process change. Practical implications: – Lean Six Sigma offer a variety of methodologies and techniques for use on a process improvement project. It is vital that the project team select for use those techniques which are most appropriate to the particular context of the project. Adoption of an overall methodology (philosophy) supported by specific techniques, proved to be an effective approach. Originality/value: – This paper provides useful information for practitioners who are introducing the Lean Six Sigma approach into a hospital setting. The study demonstrates that relatively novice users of Lean Six Sigma can provide value to the organisation in a relatively short period of time. The paper also demonstrates that Lean Six Sigma can be used and provide benefit in a variety of settings within a hospital.

In the changing competitive landscape and with growing environmental awareness, reverse logistics issues have become prominent in manufacturing organizations. As a result there is an increasing focus on green aspects of the supply chain to reduce environmental impacts and ensure environmental efficiency. This is largely driven by changes made in government rules and regulations with which organizations must comply in order to successfully operate in different regions of the world. Therefore, manufacturing organizations are striving hard to implement environmentally efficient supply chains while simultaneously maximizing their profit to compete in the market. To address the issue, this research studies a forward-reverse logistics model. This paper puts forward a model of a multi-period, multi-echelon, vehicle routing, forward-reverse logistics system. The network considered in the model assumes a fixed number of suppliers, facilities, distributors, customer zones, disassembly locations, re-distributors and second customer zones. The demand levels at customer zones are assumed to be deterministic. The objective of the paper is to maximize the total expected profit and also to obtain an efficient route for the vehicle corresponding to an optimal/ near optimal solution. The proposed model is resolved using Artificial Immune System (AIS) and Particle Swarm Optimization (PSO) algorithms. The findings show that for the considered model, AIS works better than the PSO. This information is important for a manufacturing organization engaged in reverse logistics programs and in running units efficiently. This paper also contributes to the limited literature on reverse logistics that considers costs and profit as well as vehicle route management

Purpose: The purpose of this paper is to investigate the influence of internal capabilities and environmental turbulence on market (e.g. cost leadership and differentiation) and nonmarket (e.g. political and social) strategies (NMS), and considers how these strategies impact financial and non-financial performance in firms in the United Kingdom.Design/methodology/approach: A survey was administered online to 215 practicing managers in the UK. Measures for competitive strategy (i.e. cost leadership and differentiation), NMS, strategic capabilities, market turbulence and firm performance were adopted from or based on previous work. Hypotheses were tested via SmartPLS.Findings: Findings underscore the impact of market turbulence across all market and nonmarket strategy dimensions. Multiple links between capabilities and strategies were identified. Both cost leadership and differentiation were significantly linked to non-financial performance, but only differentiation was significantly linked to financial performance. An increased emphasis on social NMS was linked to higher financial performance, but not non-financial performance. Political NMS was linked to neither financial nor non-financial performance.Research limitations/implications: The sample included managers in multiple industries. Self-typing scales were utilized to measure market turbulence, emphasis on capabilities, strategic emphasis and firm performance.Practical implications: Emphasis on social NMS can promote financial performance, but political NMS does not appear to drive either financial or non-financial performance.Originality/value: This paper provides empirical support for a UK-based model linking market turbulence, strategic capabilities, market and nonmarket strategies, and both social and firm performance. It supports NMS as a key performance driver, but with caveats.

For the most part, the organisational forms that are currently being adopted by higher education institutions are grounded in the traditional corporate models of organisation that take a rational approach to organisational change management. Underlying this account is an assumption of organisational autonomy and the capacity of designated leaders to direct such change processes. However, a case is now being made for the consideration of alternative organisational theories or models that offer a different perception on the sources and patterns of organisational change in higher education. These theories perceive organisations more as emergent entities in which change is continuous, often unpredictable and arising mainly from local interactions. The paper surveys the implications that acceptance of the alternative paradigm might have for strategising and change leadership in higher education institutions. It suggests that the accommodation of these alterative paradigms of institutional development in higher education may itself be an emergent process.

Purpose – The purpose of this paper is to compare fundamental concepts from the grounded theory approach to social science research and concepts from entity-relationship diagramming, a technique used to model data from the field of systems analysis, and propose that entity-relationship diagramming can be a useful tool for grounded theory researchers. Design/methodology/approach – The paper compares and contrasts concepts from the two different fields, demonstrating the construction of an entity-relationship diagram from data from an existing grounded theory research project, and the correspondence between the data model constructs and the grounded theory constructs. Findings – A strong correspondence was found between these two sets of concepts and suggests that the entity-relationship diagramming technique may be a useful addition to the social scientist's toolkit when carrying out research using the grounded theory approach. Originality/value – The paper bridges two distinct fields – information systems and grounded theory – and proposes a novel way for qualitative researchers to analyse and depict data.