How can SMEs benefit from big data? Challenges and a path forward

Big data is big news, and large companies in all sectors are making significant advances in their customer relations, product selection and development and consequent profitability through using this valuable commodity. Small and medium enterprises (SMEs) have proved themselves to be slow adopters of the new technology of big data analytics and are in danger of being left behind. In Europe, SMEs are a vital part of the economy, and the challenges they encounter need to be addressed as a matter of urgency. This paper identifies barriers to SME uptake of big data analytics and recognises their complex challenge to all stakeholders, including national and international policy makers, IT, business management and data science communities. The paper proposes a big data maturity model for SMEs as a first step towards an SME roadmap to data analytics. It considers the ‘state-of-the-art’ of IT with respect to usability and usefulness for SMEs and discusses how SMEs can overcome the barriers preventing them from adopting existing solutions. The paper then considers management perspectives and the role of maturity models in enhancing and structuring the adoption of data analytics in an organisation. The history of total quality management is reviewed to inform the core aspects of implanting a new paradigm. The paper concludes with recommendations to help SMEs develop their big data capability and enable them to continue as the engines of European industrial and business success. Copyright © 2016 John Wiley & Sons, Ltd.Peer ReviewedPostprint (author's final draft

Whose research is it anyway? Tensions and difficulties in research that tries to include the ‘hard to research’

In this paper I consider some of the tensions and problems that can arise, and that need to be addressed, in attempting to undertake research with hard to reach groups of ‘subjects’. In terms of my research this specifically relates to studies undertaken families that include children on the autism spectrum (including the children on the spectrum themselves) as well as children with multiple disabilities and visual impairment (MDVI). I begin by summarising my work experience and how this has shaped my research interests before moving on to discuss studies I have undertaken with the ‘hard to research’. I outline the research studies and the process of the studies before moving on to look at the issues arising. Finally I identify seven key factors regarding this type of research

Interpreting and Implementing the Long Term Athlete Development Model: English Swimming Coaches’ Views on the (Swimming) LTAD in Practice

The LTAD (Long Term Athlete Development) model has come to represent a sports-wide set of principles that significantly influences national sports policy in England. However, little is known about its impact ‘on the ground.’ This study is concerned with how national sporting bodies have adapted the model to their specific requirements and how local interpretation and implementation of this is operationalized and delivered. Interpretation and implementation of the LTAD model used in English swimming was investigated through interviews with six elite and five non-elite swimming coaches in the north of England. While there were concerns with aspects of the Amateur Swimming Association (ASA) regulations governing competition for age-group swimmers, the major concern expressed by participants was with over-emphasizing volumes of training, leading to the neglect of technique

The embeddedness of global production networks: The impact of crisis on Fiji's garment export sector

In this paper the author explores how changing geopolitical conditions reconfigure network embeddedness and theorises the conditions of network disconnection and transformation. Through a case study of the changes in interfirm relationships within the Fiji – Australia garment-production network after Fiji’s 2000 political coup d’état, the author develops a relational and dynamic view of embeddedness, highlighting its multifaceted and multiscalar character and emphasising the interrelationships between embeddedness, trust, and power