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The purpose of this paper is to produce a decision support aid for machine tool owners to utilise while deciding upon a maintenance strategy. Furthermore, the decision support tool is adaptive and capable of suggesting different strategies by monitoring for any change in machine tool manufacturing accuracy.

A maintenance cost estimation model is utilised within the research and development of this decision support system (DSS). An empirical-based methodology is pursued and validated through case study analysis.

A case study is provided where a schedule of preventative maintenance actions is produced to reduce the need for the future occurrences of reactive maintenance actions based on historical machine tool accuracy information. In the case study, a 28 per cent reduction in predicted accuracy-related expenditure is presented, equating to a saving of £14k per machine over a five year period.

The emphasis on improving machine tool accuracy and reducing production costs is increasing. The presented research is pioneering in the development of a software-based tool to help reduce the requirement on domain-specific expert knowledge.

The paper presents an adaptive DSS to assist with maintenance strategy selection. This is the first of its kind and is able to suggest a preventative strategy for those undertaking only reactive maintenance. This is of value for both manufacturers and researchers alike. Manufacturers will benefit from reducing maintenance costs, and researchers will benefit from the development and application of a novel decision support technique.

The purpose of this paper is to produce an intelligent technique for modelling machine tool errors caused by the thermal distortion of Computer Numerical Control (CNC) machine tools. A new metaheuristic method, the cuckoo search (CS) algorithm, based on the life of a bird family is proposed to optimize the GMC(1, N) coefficients. It is then used to predict thermal error on a small vertical milling centre based on selected sensors.

A Grey model with convolution integral GMC(1, N) is used to design a thermal prediction model. To enhance the accuracy of the proposed model, the generation coefficients of GMC(1, N) are optimized using a new metaheuristic method, called the CS algorithm.

The results demonstrate good agreement between the experimental and predicted thermal error. It can therefore be concluded that it is possible to optimize a Grey model using the CS algorithm, which can be used to predict the thermal error of a CNC machine tool.

An attempt has been made for the first time to apply CS algorithm for calibrating the GMC(1, N) model. The proposed CS-based Grey model has been validated and compared with particle swarm optimization (PSO) based Grey model. Simulations and comparison show that the CS algorithm outperforms PSO and can act as an alternative optmization algorithm for Grey models that can be used for thermal error compensation.

This chapter outlines a design-science perspective of entrepreneurship. It zooms in on the junction between present and future to distinguish entrepreneurship as a natural and as an artificial phenomenon. While the current study of entrepreneurship speaks to the former, it has been silent on the latter. The chapter discusses design as a distinct mode of research, opportunity as a design artifact, and the generative power of recursive action to make the case for problematizing entrepreneurial action as a focus of research. It then defines its research questions, discusses the logic and process for addressing them, and outlines the nature of research outputs.

This article argues that existing research poorly specifies the link between planning and performance because of omitted variable bias. Researchers agree planning is a critical part of creating any new venture. Many researchers assess planning by whether a small firm has a written business plan. Unfortunately, efforts empirically to validate this relationship have been inconclusive. This article proposes that researchers should assess business plans both on the quality of the plan (and the planning process that produced it), and on the quality of the underlying business opportunity. Failure to account for both aspects of a business plan amounts to omitted variable bias, frustrating attempts to accurately estimate the true relationship.

The purpose of this paper is to determine the relative importance of deliberate learning, learning from experience and relevant learning co-variates in pursuing market learning, and to assess the impact of market learning on export performance in smaller firms.

A theoretical model was initially developed and subsequently tested using survey data. The standard two step approach of first testing the measurement model and then estimating the structural model was adopted.

The results provide concrete evidence that among SMEs, deliberate learning has a greater impact on export market learning as compared to experience accumulation, and that market learning has a significant effect on export performance. The results also show that absorptive capacity and commitment to learning are significant co-variates of market learning.

This paper focuses on the role of deliberate learning vis-a-vis learning by experience in achieving foreign market learning and export performance in smaller firms. It addresses a major limitation of organisational learning studies which tend to focus mainly on experiential learning and organisational learning in large organisations.

This introductory chapter will provide the context for the collection, introducing the topic(s) of sex, consent, the law and the wider ongoing debates concerning the use of consensual ‘rough’ sex and/or bondage, discipline, sadism and/or masochism as a defence in homicide cases. An overview of the book will also be provided.

Purpose: We critically examine the idea of neurodiversity, or the uniqueness of all brains, as the foundation for the neurodiversity movement, which began as an autism rights movement. We explore the neurodiversity movement's potential to support cross-disability alliances that can transform cultures.

Methods/Approach: A neurodiverse team reviewed literature about the history of the neurodiversity movement and associated participatory research methodologies and drew from our experiences guiding programs led, to varying degrees, by neurodivergent people. We highlight two programs for autistic university students, one started by and for autistics and one developed in collaboration with autistic and nonautistic students. These programs are contrasted with a national self-help group started by and for stutterers that is inclusive of “neurotypicals.”

Findings: Neurodiversity-aligned practices have emerged in diverse communities. Similar benefits and challenges of alliance building within versus across neurotypes were apparent in communities that had not been in close contact. Neurodiversity provides a framework that people with diverse conditions can use to identify and work together to challenge shared forms of oppression. However, people interpret the neurodiversity movement in diverse ways. By honing in on core aspects of the neurodiversity paradigm, we can foster alliances across diverse perspectives.

Implications/ Values: Becoming aware of power imbalances and working to rectify them is essential for building effective alliances across neurotypes. Sufficient space and time are needed to create healthy alliances. Participatory approaches, and approaches solely led by neurodivergent people, can begin to address concerns about power and representation within the neurodiversity movement while shifting public understanding.

A collection of essays by a social economist seeking to balance economics as a science of means with the values deemed necessary to man′s finding the good life and society enduring as a civilized instrumentality. Looks for authority to great men of the past and to today′s moral philosopher: man is an ethical animal. The 13 essays are: 1. Evolutionary Economics: The End of It All? which challenges the view that Darwinism destroyed belief in a universe of purpose and design; 2. Schmoller′s Political Economy: Its Psychic, Moral and Legal Foundations, which centres on the belief that time‐honoured ethical values prevail in an economy formed by ties of common sentiment, ideas, customs and laws; 3. Adam Smith by Gustav von Schmoller – Schmoller rejects Smith′s natural law and sees him as simply spreading the message of Calvinism; 4. Pierre‐Joseph Proudhon, Socialist – Karl Marx, Communist: A Comparison; 5. Marxism and the Instauration of Man, which raises the question for Marx: is the flowering of the new man in Communist society the ultimate end to the dialectical movement of history?; 6. Ethical Progress and Economic Growth in Western Civilization; 7. Ethical Principles in American Society: An Appraisal; 8. The Ugent Need for a Consensus on Moral Values, which focuses on the real dangers inherent in there being no consensus on moral values; 9. Human Resources and the Good Society – man is not to be treated as an economic resource; man′s moral and material wellbeing is the goal; 10. The Social Economist on the Modern Dilemma: Ethical Dwarfs and Nuclear Giants, which argues that it is imperative to distinguish good from evil and to act accordingly: existentialism, situation ethics and evolutionary ethics savour of nihilism; 11. Ethical Principles: The Economist′s Quandary, which is the difficulty of balancing the claims of disinterested science and of the urge to better the human condition; 12. The Role of Government in the Advancement of Cultural Values, which discusses censorship and the funding of art against the background of the US Helms Amendment; 13. Man at the Crossroads draws earlier themes together; the author makes the case for rejecting determinism and the “operant conditioning” of the Skinner school in favour of the moral progress of autonomous man through adherence to traditional ethical values.