Making the most of your firm's capabilities

In this Executive Digest, we make the case that aggregate individual expertise as a resource and intrinsic capability of the firm are hidden in plain sight, or worse, are assumed to exist where they do not. With high levels of complexity, business diversity, and number of geographical locations, the issue becomes even more acute. We propose strategic resource mapping (SRM) as a methodology designed to provide top managers with a rapid, comprehensive, and penetrating assessment of a firm's ‘meta-capability’: an actionable overview of the capabilities that exist within the firm. Based on multiple successful implementations, we describe the key features of SRM and provide several illustrations.     

Development of crash frequency models for safety promotion of urban collector streets

The merits for development and application of crash frequency prediction models for safety promotion on any road type, with a focus on urban collector streets, are presented in this article. The city of Yazd, a medium-sized city in the middle of Iran, was selected as a case study and the data required for modelling crash frequencies along five collector streets comprising 31 street sections were collected. Six models including Poisson and negative binomial models and their deviations along with a hybrid artificial neural networks (ANN) model were developed to predict crash frequency along each street section. The overfitting problem was addressed using appropriate sensitivity analysis methods which were also used to identify the input variables with significant impact on the model performance. The results indicated that the developed hybrid ANN model provided the best performance in terms of accuracy and the number of input variables. The application of hybrid ANN model to evaluate the safety impacts of four different strategies, each resembled by one of the input variables of this model, indicated that these models can successfully be used for this purpose.     

New knowledge networks of small-scale farmers in Europe’s periphery

In this paper we assess the types of knowledge networks utilised by small-scale farmers in four case studies (located in Bulgaria, Poland, Portugal, and the United Kingdom). We focus on knowledge acquired to inform three new activities being undertaken by study participants: agricultural production, subsidy access and regulatory compliance, and farm diversification (specifically agritourism). Findings demonstrate that the new knowledge networks are dominated by different forms of expertise: formal ‘agricultural advisors’ identified in the case studies primarily offer codified managerial knowledge through centralised networks, suggesting that state-funded services for small-scale farmers are largely embedded in traditional, linear models of knowledge transfer. Production and diversification knowledge is exchanged through ‘distributed’ and ‘decentralised’ networks, where a range of actors are involved across varying geographical distances. Findings highlight issues associated with the quality and independence of both ‘free’ and paid advice, as well as the importance of combining tacit and codified knowledge for credibility. In all four cases, we found that small-scale farmers utilise formal advisory services primarily for accessing subsidies (e.g. completing application forms), rather than acquiring production knowledge. The authors argue that by utilising the state funding allocated to advisory services for small-scale farmers primarily to enable these farmers to access subsidies, important opportunities for innovation by both advisors or farmers can be lost.     

Global networks of clusters of innovation: Accelerating the innovation process

This article presents a framework for understanding new patterns of innovation and commercialization that are most easily observed in Clusters of Innovation (COI) and in the global connections established among them. We define COI as environments that favor the creation and development of high potential entrepreneurial ventures. COI are characterized by heightened mobility of resources (principally people, capital, and information—including intellectual property); increased velocity of business development; and a culture of mobility that leads to an affinity for collaboration, development of durable relationships, and the formation of Networks of Clusters of Innovation (NCOI). These networks are distinct sets of relationships. When the connections progress to the point of mutual dependence and business integration among participating enterprises, such covalent bonds form tightly interrelated business communities, or Super-Clusters of Innovation (Super-COI). In this article, we analyze the characteristics of COI and the nature of the relationships that arise between them to form NCOI and Super-COI. Further, we present an integrated model to better understand the global innovation system.