Modeling Marketing Dynamics by Time Series Econometrics

This paper argues that time-series econometrics provides valuable tools and opens exciting research opportunities to marketing researchers. It allows marketing researchers to advance traditional modeling and estimation approaches by incorporating dynamic processes to answer new important research questions. The authors discuss the challenges facing time-series modelers in marketing, provide an overview of recent methodological developments and several applications, and highlight fruitful areas for future research. This discussion is based on the First Annual Conference on Modeling Marketing Dynamics by Time Series Econometrics at the Tuck School of Business at Dartmouth, Hanover, New Hampshire, USA on September 16–17, 2004.Insights from the First Annual Conference, Tuck School of Business at DartmouthThis revised version was published online in May 2005 with a corrected cover date.     

Concurrent learning: How firms develop multiple dynamic capabilities in parallel

Much is known about the importance of dynamic capabilities. Yet, surprisingly little is known about how multiple dynamic capabilities might be developed in parallel, since most existing work explores a particular dynamic capability in isolation. Using rich quantitative and qualitative data on Dow Chemical's acquisitions, joint ventures, and divestitures over the past 20 years, we seek to address this gap. Besides contributing by adding fresh insights about managing growth and the utility of distributed practice, and by shedding light on positive and negative experience transfer, our core contribution is an emergent theoretical framework that develops the concept of “concurrent learning. ” Copyright © 2014 John Wiley & Sons, Ltd.     

A complex systems methodology to transition management

There is a general sense of urgency that major technological transitions are required for sustainable development. Such transitions are best perceived as involving multiple transition steps along a transition path. Due to the path dependent and irreversible nature of innovation in complex technologies, an initial transition step along some preferred path may cut off paths that later may turn out to be more desirable. For these reasons, initial transition steps should allow for future flexibility, where we define flexibility as robustness regarding changing evidence and changing preferences. We propose a technology assessment methodology based on rugged fitness landscapes, which identifies the flexibility of initial transition steps in complex technologies. We illustrate our methodology by an empirical application to 2,646 possible future car systems.

MEASURING RISK IN ENVIRONMENTAL FINANCE

Abstract.  Environmental sustainability indices, such as the Dow Jones Sustainability Indexes and the Ethibel Sustainability Index, quantify the development and promotion of sustainable social, ethical and environmental values in the community. Moreover, such indices provide a benchmark for managing sustainability portfolios, and developing financial products and services that are linked to sustainable economic, environmental, social and ethical criteria. This paper reviews the existing data and risk indices in environmental finance. The main purpose of the paper is to analyse existing sustainability and ethical indices in environmental finance, and evaluate empirical environmental risk by estimating conditional volatility clustering that is inherent in these indices. Financial volatility models are estimated to analyse the underlying conditional volatility or time-varying risk that is inherent in alternative environmental sustainability indices. Volatility clustering is observed for most series, but some extreme observations are also evident. The log- and second-moment conditions suggest that valid inferences can be drawn for purposes of sensible empirical analysis.     

Travelling risks: How did nanotechnology become a risk in India and South Africa?

India and South Africa have invested in nanotechnology since the early 2000s and have identified risks to human health and the environment as an important issue for governance. This is exemplary for a wider trend in which ‘developing countries’ play an increasingly prominent role in the development, production and use of emerging technologies. This validates the claim of the world risk society thesis that countries around the world are now confronted with the risks of emerging technologies. Little is known, however, about the way developing countries deal with the potential risks of emerging technologies. Starting from the observation that the risk colonization of nanotechnology in developing countries cannot be taken for granted, this article draws upon the relational theory of risk in order to investigate how nanotechnology became understood as an object of risk in South Africa and India. The article shows that nanotechnology was constituted as an object of risk in rather different ways in India and South Africa, demonstrating that the spread of risk discourses – and the emergence of a world risk society – cannot be understood without attending to the local context. The article shows that way risk is understood and dealt with changes as risk discourses travel around the world, giving many different faces to the world risk society.     

Same place,same knowledge – same people? The geography of non-patent citations in Dutch polymer patents

It has long been argued that geographic co-location supports knowledge spillovers. More recently, this argument has been challenged by showing that knowledge spillovers mainly flow through social networks, which may or may not be localized at various geographic scales. We further scrutinize the conjecture of geographically bounded knowledge spillovers by focusing on knowledge flows between academia and industry. Looking into citations to non-patent literature (NPL) in 2385 Dutch polymer patents, we find that citation lags are shorter on average if Dutch rather than foreign NPLs are cited. However, when excluding individual and organizational self-citations, geographically proximate NPLs no longer diffuse faster than foreign NPLs. This suggests that knowledge is not ‘in the air’ but transferred by mobile individuals and/or direct university–industry collaboration. Our findings moreover suggest an important role of international conferences in the diffusion of recent scientific knowledge.