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When it comes to undergraduate education, the terms “innovation” and “entrepreneurship” are often used interchangeably with respect to curricular practices and their associated learning and developmental outcomes. The purpose of this paper is to chart a course through the vast and growing multidisciplinary literature covering both topics to argue that innovation and entrepreneurship are not only different concepts, but they also play out in postsecondary institutional contexts in different and important ways.

Based on these differences, the authors propose that developing innovators must precede teaching future entrepreneurs and that the home of innovation education is not necessarily in the business school at all. Ideally, the authors believe innovation should be taught separately from any one disciplinary context. To illustrate the concept, the authors point to an existing program where professors and students from different disciplines work together on actual problems provided by external clients from both the public and private sectors.

Based on the authors’ rationale and approach, the authors propose an agenda that would allow for a deep analysis of the interaction between organizational behaviors and student outcomes, providing insight into effective practices and strategies for mobilizing institutional efforts aimed at teaching innovation and better aligning innovation with entrepreneurship education.

The authors provide a clear rationale for separating innovation and entrepreneurship pedagogy in higher education, terms that have been conflated in literature and in practice for nearly a century. The authors do this in an original way by pairing a theoretical framework with a short case study of an education program that has developed innovation pedagogy at the undergraduate level.

The Europe issue was long a basis of intra-party divisions within the Conservative Party, and the 2016 referendum on the United Kingdom's continued membership of the European Union revealed the extent of the divide. The decision of the UK electorate to leave the EU was expected to resolve the issue and allow for a return to unity within the Conservative Party. Yet, under the leadership of Theresa May, divisions on the Europe issue endured. Boris Johnson succeeded, where his predecessors had failed, in restoring intra-party unity. He successfully secured the backing of party members and the electorate, and the loyalty of the parliamentary party, by strategically prioritising the politics of support and placing Brexit at the core of his statecraft. However, it was also the extent to which Johnson was willing to go so as to silence opponents of his Brexit policy that characterised his leadership.

Innovative firms leverage big data analytics (BDA) benefits in optimising value creation, particularly in business-to-business (B2B) contexts. Examples of this are found in new product success and product innovation performance. However, knowledge of how innovative firms and their corporate customers generate insights from big data, develop new products and gain higher-quality service from intra- and inter organisations' resources is limited. This knowledge manifests in the form of opportunities available in BDA and through the adoption of the co-creation approach to generate value in the form of new product innovation. BDA reflects an excellent means of enhancing a firm's customer agility, but how this is possible remains largely unknown.

In this research, the authors hypothesise that new product success is a function of a firm's customer agility and product innovation performance moderated by environmental turbulences. In turn, the firm's customer agility is enhanced by the effect of big data aggregation and analytical tools. These hypotheses have been confirmed by a survey in an emerging market.

The authors use structural equation modelling to test the authors’ hypotheses. The main contribution of this research is the conceptualisation and test of an integrative framework identifying the links among a firm's customer agility, new product success and BDA capabilities.

The study established that BDA tools – the effective use of data aggregation tools and the effective use of data analysis tools – shape customer agility in achieving new product success. This study contributes to one’s understanding of the relevance of BDA in B2B value creation contexts.

The study findings show that BDA shapes a firm's customer agility in achieving new product success.