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

Towards a Framework for Smart Manufacturing adoption in Small and Medium-sized Enterprises

Smart Manufacturing (SM) paradigm adoption can scale production with demand without compromising on the time for order fulfillment. A smart manufacturing system (SMS) is vertically and horizontally connected, and thus it can minimize the chances of miscommunication. Employees in an SME are aware of the operational requirements and their responsibilities. The machine schedules are prepared based on the tasks a machine must perform. Predictive maintenance reduces the downtime of machines. Design software optimizes the product design. Production feasibility is checked with the help of simulation. The concepts of product life cycle management are considered for waste reduction. Employee safety, and ergonomics, identifying new business opportunities and markets, focus on employee education and skill enhancement are some of the other advantages of SM paradigm adoption. This dissertation develops an SM paradigm adoption framework for manufacturing SMEs by employing the instrumental research approach. The first step in the framework identified the technical aspects of SM, and this step was followed by identifying the research gaps in the suggested methods (in literature) and managerial aspects for adopting SM paradigm. The technical and the managerial aspects were integrated into a toolkit for manufacturing SMEs. This toolkit contains seven modular toolboxes that can be installed in five levels, depending on an SME’s readiness towards SM. The framework proposed in this dissertation focuses on how an SME’s readiness can be assessed and based on its present readiness what tools and practices the SMEs need to have to realize their tailored vision of SM. The framework was validated with the help of two SMEs cases that have recently adopted SM practices

Implementing Sustainability Strategies in Networks and Clusters – Principles, Tools and New Research Outcomes

This book investigates the dynamics of the management of sustainability in networks and clusters – an area of increasing importance that is neglected by the many studies addressing sustainability at the single-enterprise level. The focus is in particular on projects involving groups of enterprises with a high level of productive interdependence and steady relations that allow sharing of resources and activities. The book is organized into two parts, the first of which discusses the value of the territory for firm competitiveness, examines the importance of social capital in creating sustainable business behaviors and “unique” networks, and describes principles and tools for the implementation and management of sustainability strategies in networks or clusters. The second part then presents the methodology and outcomes of empirical research conducted on industrial districts and productive centres in Campania, southern Italy, which are representative of Italian productive chains. The book will be of value to all management scholars with an interest in this field, as well as to readers wishing to learn more of the role of local institutions

The Organization of Work and Innovative Performance A comparison of the EU-15

It is widely recognised that while expenditures on research and development are important inputs to successful innovation, these are not the only inputs. Further, rather than viewing innovation as a linear process, recent work on innovation in business and economics literatures characterises it as a complex and interactive process involving multiple feedbacks. These considerations imply that relevant indicators for innovation need to do more than capture material inputs such as R&D expenditures and human capital inputs. The main contribution of this paper is to develop EU-wide aggregate measures that are used to explore at the level of national innovation systems the relation between innovation and the organisation of work. In order to construct these aggregate measures we make use of micro data from two European surveys: the third European survey of Working Conditions and the third Community Innovation Survey (CIS-3). Although our data can only show correlations rather than causality they support the view that how firms innovate is linked to the way work is organised to promote learning and problem-solving.National innovation systems, measuring, methodology

The Importance of Clusters for Sustainable Innovation Processes: The Context of Small and Medium Sized Regions

The purpose of the current paper is to provide a critical state-of-the-art review of current research on clusters and its correlation to innovation dynamics in small and medium-sized regions. In particular, we focus on the systematization of the main concepts and theoretical insights that are tributary to the cluster overview in terms of its relevance for the sustainability of the innovation processes, knowledge production and diffusion, which take place inside small and medium-sized regions. The present working paper takes into account the initial studies on English industrial districts (in the nineteenth century), passing through the Italian industrial districts (in the 70s and 80s of the twentieth century), until the modern theories of business clusters and innovation systems. These frameworks constitute the basis of an approach to endogenous development, which gives a central role to the interaction between economic actors, the society and the institutions and to the identification, mobilization and combination of potential resources within a particular geographical area.Cluster; Innovation; Endogenous development; Territory.

Emergence and Transformation of Clusters and Milieus

A renewed interest in the location of the productive activity has appeared during the last two decades. The literature analyzes a great number of cases of local productive systems in which all types of activities are produced and which locate in regions and countries with different levels of development (Altenburg and Meyer-Stamer, 1999; Rosenfeld, 1997; Staber, 1997; Porter, 1998). Electronics in Silicon Valley, U.S.A. and Silicon Glen in Scotland, but also in Guadalajara, Mexico and in Penang, Malaysia; the car industry in Detroit, U.S. and in Vigo, Spain, but also in the Gran ABC in the Sao Paulo metropolitan area, Brazil; ceramic tiles in Sassuolo, Italy and in Castellón, Spain, as well as in Criciuma, Brazil; the shoe industry in Brenta, Italy and in Elche, Spain, as well as in León, Guanajuato, Mexico; textiles and the garment industry in Reutlingen, Germany and in La Coruña, España, but also in Itaji Valley, Brazil. Financial services in New York City, in London and in Frankfurt, Germany, but also in Hong Kong and Shanghai, in China. This diversity has been dealt with from different points of view; no doubt due to the fact that sociologists, geographers and economists believe that at the present time the organization of production is going through a profound transformation process. Mass production, integrated in the fordist model of large firm reduces its hegemony and gives way to more flexible forms of organization, as are industrial districts and milieus. This has produced multiple interpretations such as the industrial districts (Becattini, 1979), flexible specialization (Piore and Sabel, 1984), the new industrial spaces (Scott, 1988), industrial clusters (Porter, 1990), the knowledge economy (Cook, 2002), the new economic geography (Krugman, 1991; Fujita et al., 2000), the theory of the innovative milieu (Aydalot, 1986; Maillat, 1995), or economic sociology (Granovetter, 1985). Thus, a single unique interpretation or theory as to how production is organized within the territory does not exist for explaining the factors that make the agglomerations and industrial production centres appear, the mechanisms through which they develop, as well as the reasons for its change and transformation. Gordon and McCann (2000) conclude that the diversity of the analytical approaches led to some degree of confusion in the analyses and interpretations. The paper discusses the question of spatial organization of production from the perspective of economic development. It maintains that the spatial organization of production takes shape, as the markets and relations between cities and regions developed, the transportation and communication system consolidated itself, firms developed their form of organization, innovation and knowledge was introduced in firms and the transportation and communications system, and the economic system integrated itself as a result of globalization. In fact, given that development takes on different forms in each historical period, spatial organization of production also changes and these changes are affected by the territorial strategies of firms and the economic strategies of cities and regions, and they are responsible for the emergence and reconstruction of clusters and milieus.