BIG data - BIG gains? : empirical evidence on the link between big data analytics and innovation

This paper analyzes the relationship between firms’ use of big data analytics and their innovative performance in terms of product innovations. Since big data technologies provide new data information practices, they create novel decision-making possibilities, which are widely believed to support firms’ innovation process. Applying German firm-level data within a knowledge production function framework we find suggestive evidence that big data analytics is a relevant determinant for the likelihood of a firm becoming a product innovator as well as for the market success of product innovations. These results hold for the manufacturing as well as for the service sector but are contingent on firms’ investment in IT-specific skills. Subsequent analyses suggest that firms in the manufacturing and service sector rely on different data sources and data-related firm practices in order to reap the benefits of big data. Overall, the results support the view that big data analytics have the potential to enable innovation

BIG data - BIG gains? : empirical evidence on the link between big data analytics and innovation

This paper analyzes the relationship between firms’ use of big data analytics and their innovative performance in terms of product innovations. Since big data technologies provide new data information practices, they create novel decision-making possibilities, which are widely believed to support firms’ innovation process. Applying German firm-level data within a knowledge production function framework we find suggestive evidence that big data analytics is a relevant determinant for the likelihood of a firm becoming a product innovator as well as for the market success of product innovations. These results hold for the manufacturing as well as for the service sector but are contingent on firms’ investment in IT-specific skills. Subsequent analyses suggest that firms in the manufacturing and service sector rely on different data sources and data-related firm practices in order to reap the benefits of big data. Overall, the results support the view that big data analytics have the potential to enable innovation

Understanding the Impact of Business Analytics on Innovation

The advances in Big Data and Business Analytics (BA) have provided unprecedented opportunities for organizations to innovate. With new and unique insights gained from BA, companies are able to develop new or improve existing products/services. However, few studies have investigated the mechanism through which BA contributes to a firm’s innovation success. This research aims to address this gap. From an information processing and use perspective, a research model is proposed and empirically validated with data collected from a survey with UK businesses. The evidence from the survey of 296 respondents supports the research model that provides a focused and validated view on BA’s contribution to innovation. The key findings suggest that BA directly improves environmental scanning which in turn helps to enhance a company’s innovation in terms of new product novelty and meaningfulness. However, the effect of BA’s contribution would be increased through the mediation role of data-driven culture in the organization. Data-driven culture directly impacts on new product novelty, but indirectly on product meaningfulness through environmental scanning. The findings also confirm that environmental scanning directly contributes to new product novelty and meaningfulness which in turn enhance competitive advantage. The model testing results also reveal that innovation success can be influenced by many other factors which should be addressed alongside the BA applications

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

Launching the Grand Challenges for Ocean Conservation

The ten most pressing Grand Challenges in Oceans Conservation were identified at the Oceans Big Think and described in a detailed working document:A Blue Revolution for Oceans: Reengineering Aquaculture for SustainabilityEnding and Recovering from Marine DebrisTransparency and Traceability from Sea to Shore:  Ending OverfishingProtecting Critical Ocean Habitats: New Tools for Marine ProtectionEngineering Ecological Resilience in Near Shore and Coastal AreasReducing the Ecological Footprint of Fishing through Smarter GearArresting the Alien Invasion: Combating Invasive SpeciesCombatting the Effects of Ocean AcidificationEnding Marine Wildlife TraffickingReviving Dead Zones: Combating Ocean Deoxygenation and Nutrient Runof

Privacy matters:issues within mechatronics

As mechatronic devices and components become increasingly integrated with and within wider systems concepts such as Cyber-Physical Systems and the Internet of Things, designer engineers are faced with new sets of challenges in areas such as privacy. The paper looks at the current, and potential future, of privacy legislation, regulations and standards and considers how these are likely to impact on the way in which mechatronics is perceived and viewed. The emphasis is not therefore on technical issues, though these are brought into consideration where relevant, but on the soft, or human centred, issues associated with achieving user privacy

Evaluating Innovation

In their pursuit of the public good, foundations face two competing forces -- the pressure to do something new and the pressure to do something proven. The epigraph to this paper, "Give me something new and prove that it works," is my own summary of what foundations often seek. These pressures come from within the foundations -- their staff or boards demand them, not the public. The aspiration to fund things that work can be traced to the desire to be careful, effective stewards of resources. Foundations' recognition of the growing complexity of our shared challenges drives the increased emphasis on innovation. Issues such as climate change, political corruption, and digital learning andwork environments have enticed new players into the social problem-solving sphere and have con-vinced more funders of the need to find new solutions. The seemingly mutually exclusive desires for doing something new and doing something proven are not new, but as foundations have grown in number and size the visibility of the paradox has risen accordingly.Even as foundations seek to fund innovation, they are also seeking measurements of those investments success. Many people's first response to the challenge of measuring innovation is to declare the intention oxymoronic. Innovation is by definition amorphous, full of unintended consequences, and a creative, unpredictable process -- much like art. Measurements, assessments, evaluation are -- also by most definitions -- about quantifying activities and products. There is always the danger of counting what you can count, even if what you can count doesn't matter.For all our awareness of the inherent irony of trying to measure something that we intend to be unpredictable, many foundations (and others) continue to try to evaluate their innovation efforts. They are, as John Westley, Brenda Zimmerman, and Michael Quinn Patton put it in "Getting to Maybe", grappling with "....intentionality and complexity -- (which) meet in tension." It is important to see the struggles to measure for what they are -- attempts to evaluate the success of the process of innovation, not necessarily the success of the individual innovations themselves. This is not a semantic difference.What foundations are trying to understand is how to go about funding innovation so that more of it can happenExamples in this report were chosen because they offer a look at innovation within the broader scope of a foundation's work. This paper is the fifth in a series focused on field building. In this context I am interested in where evaluation fits within an innovation strategy and where these strategies fit within a foundation's broader funding goals. I will present a typology of innovation drawn from the OECD that can be useful inother areas. I lay the decisions about evaluation made by Knight, MacArthur, and the Jewish NewMedia Innovation Funders against their program-matic goals. Finally, I consider how evaluating innovation may improve our overall use of evaluation methods in philanthropy

The Digitalisation of African Agriculture Report 2018-2019

An inclusive, digitally-enabled agricultural transformation could help achieve meaningful livelihood improvements for Africa’s smallholder farmers and pastoralists. It could drive greater engagement in agriculture from women and youth and create employment opportunities along the value chain. At CTA we staked a claim on this power of digitalisation to more systematically transform agriculture early on. Digitalisation, focusing on not individual ICTs but the application of these technologies to entire value chains, is a theme that cuts across all of our work. In youth entrepreneurship, we are fostering a new breed of young ICT ‘agripreneurs’. In climate-smart agriculture multiple projects provide information that can help towards building resilience for smallholder farmers. And in women empowerment we are supporting digital platforms to drive greater inclusion for women entrepreneurs in agricultural value chains

Actionable Supply Chain Management Insights for 2016 and Beyond

The summit World Class Supply Chain 2016: Critical to Prosperity , contributed to addressing a need that the Supply Chain Management (SCM) field’s current discourse has deemed as critical: that need is for more academia-­‐industry collaboration to develop the field’s body of actionable knowledge. Held on May 4th, 2016 in Milton, Ontario, the summit addressed that need in a way that proved to be both effective and distinctive in the Canadian SCM environment. The summit, convened in partnership between Wilfrid Laurier University’s Lazaridis School of Business & Economics and CN Rail, focused on building actionable SCM knowledge to address three core questions: What are the most significant SCM issues to be confronted now and beyond 2016? What SCM practices are imperative now and beyond 2016? What are optimal ways of ensuring that (a) issues of interest to SCM practitioners inform the scholarly activities of research and teaching and (b) the knowledge generated from those scholarly activities reciprocally guide SCM practice? These are important questions for supply chain professionals in their efforts to make sense of today’s business environment that is appropriately viewed as volatile, uncertain, complex, and ambiguous. The structure of the deliberations to address these questions comprised two keynote presentations and three panel discussions, all of which were designed to leverage the collective wisdom that comes from genuine peer-­‐to-­‐peer dialogue between the SCM practitioners and SCM scholars. Specifically, the structure aimed for a balanced blend of industry and academic input and for coverage of the SCM issues of greatest interest to attendees (as determined through a pre-­‐summit survey of attendees). The structure produced impressively wide-­‐ranging deliberations on the aforementioned questions. The essence of the resulting findings from the summit can be distilled into three messages: Given today’s globally significant trends such as changes in population demographics, four highly impactful levers that SCM executives must expertly handle to attain excellence are: collaboration; information; technology; and talent Government policy, especially for infrastructure, is a significant determinant of SCM excellence There is tremendous potential for mutually beneficial industry-academia knowledge co-creation/sharing aimed at research and student training This white paper reports on those findings as well as on the summit’s success in realizing its vision of fostering mutually beneficial industry-academia dialogue. The paper also documents what emerged as matters that are inadequately understood and should therefore be targeted in the ongoing quest for deeper understanding of actionable SCM insights. Deliberations throughout the day on May 4th, 2016 and the encouraging results from the pre-­‐summit and post-­‐summit surveys have provided much inspiration to enthusiastically undertake that quest. The undertaking will be through initiatives that include future research projects as well as next year’s summit–World Class Supply Chain 2017