Flexibility at different stages in the life cycle of projects: An empirical illustration of the “freedom to maneuver”

Many textbooks on project management present illustrations concerning the relative size of project attributes during different project phases. The derived models all have attributes in common, such as uncertainty, significance of decisions, and degree of freedom to maneuver, that are typically high in the beginning of the project and low in the end. At the same time, variables such as the accumulated cost and available information begin at low levels and end up at a high level at the end of the project. Based on empirical data from projects, this paper illustrates and quantifies one of these attributes, the freedom to maneuver, in different project phases.     

Environmental Innovations in Small and Medium Sized Enterprises

Supporting and accelerating the adoption and diffusion of environmental innovations amongst small and medium sized enterprises (SMEs) is a major challenge to environmental policy makers. Research suggests that whilst SMEs possess high flexibility, their innovative capacity may be limited to incremental changes within their existing technology system and network. Twenty case studies examining the innovation adoption process in SMEs in four sectors and in five countries within the ENVIS project (commissioned by the EU) revealed great variety in factors driving this process. Findings indicate that this variation can be attributed to the character of the environmental innovation, the specific business opportunity, the regulatory setting and pressure experienced by the sector. Based on these findings an analytical framework is suggested, whereby the environmental innovative capability of SMEs is conceived as the result of an interplay between the competencies, the network relations and the strategic orientation of the company (the 'dynamic triangle'). This indicates that policy to support SME's adoption of environmental innovations has to take an integrated form, i.e. addressing and developing competence, networks and strategic orientation of SMEs simultaneously whilst remaining systemic and context sensitive.     

Chance Constrained Programming Formulations for Stochastic Characterizations of Efficiency and Dominance in DEA

Pareto-Koopmans efficiency in Data Envelopment Analysis (DEA) is extended to stochastic inputs and outputs via probabilistic input-output vector comparisons in a given empirical production (possibility) set. In contrast to other approaches which have used Chance Constrained Programming formulations in DEA, the emphasis here is on joint chance constraints. An assumption of arbitrary but known probability distributions leads to the P-Model of chance constrained programming. A necessary condition for a DMU to be stochastically efficient and a sufficient condition for a DMU to be non-stochastically efficient are provided. Deterministic equivalents using the zero order decision rules of chance constrained programming and multivariate normal distributions take the form of an extended version of the additive model of DEA. Contacts are also maintained with all of the other presently available deterministic DEA models in the form of easily identified extensions which can be used to formalize the treatment of efficiency when stochastic elements are present.     

The Political Economy of Policy Vacuums: The European Commission on Demographic Change

ABSTRACT

Supranational organisations can only confront politico-economic issues that are recognised as important. Typically, issues gain recognition either when they provide an external shock to the system, shaking political actors into action, or when they are framed as important in policy networks concerned with developing the appropriate scientific approach. Ideally political and scientific actors align in creating pressures to recognise the issue as salient and to mobilise organisational responses. Issues differ in their capacity to be driven by both political and scientific pressures, creating crisis management, technocratic, and reform agenda outcomes. Here we explore a further variation, where pressures around an issue are insufficient, creating a policy vacuum. We examine one such policy vacuum in Europe: demographic change. This issue belongs to no particular Directorate-General in the European Commission, but is subject to policy frames from DG EMPL and DG ECFIN. Without sufficient political and scientific pressures, no particular policy position is occupied and advocated despite recognition of the issue’s importance. We discuss the role of policy vacuums and the need for their identification in political economy research.     

Entrepreneurial innovativeness and growth ambitions in thick vs. thin regional innovation systems

Research in economic geography has paid increasing attention to regional innovation systems (RISs) as a potential vehicle for growth and development. Yet despite an increasing amount of research studying RISs in particular and economic regions in general, we have limited knowledge about their influence on entrepreneurs and entrepreneurship. We respond to this knowledge gap and study if entrepreneurs’ localization in thick vs. thin RISs affects their innovativeness and growth ambitions. Thick RISs are predominately urbanized spaces that include organizations of higher-level education, R&D intensive milieus, and an ample industry sector, while thin RISs to a lesser degree encompass these features. Empirically, we analyse 870–917 entrepreneurial firms in Agder of Southern Norway. Based on trade and labour markets, as defined by the EU’s classification of local administrative units (LAU1), we identify two thick and six thin RISs in Agder. Econometric analyses show that entrepreneurs located in thick RISs are more innovative than entrepreneurs located in thin RISs, but there are no significant differences concerning entrepreneurs’ growth ambitions. In light of our findings, we discuss the potential agency role played by entrepreneurial firms at a micro level on path dependent features of RISs at a macro level.     

Probabilistic Bounds on the Virtual Multipliers in Data Envelopment Analysis: Polyhedral Cone Constraints

The paper is concerned with the incorporation of polyhedral cone constraints on the virtual multipliers in DEA. The incorporation of probabilistic bounds on the virtual multipliers based upon a stochastic benchmark vector is demonstrated. The suggested approach involves a stochastic (chance constrained) programming model with multipliers constrained to the cone spanned by confidence intervals for the components of the stochastic benchmark vector at varying probability levels. Consider a polyhedral assurance region based upon bounded pairwise ratios between multipliers. It is shown that in general it is never possible to identify a center-vector defined as a vector in the interior of the cone with identical angles to all extreme rays spanning the cone. Smooth cones are suggested if an asymmetric variation in the set of feasible relative prices is to be avoided.     

Analyst Report Readability

Using an extensive database of 356,463 sell‐side equity analysts' reports from 2002 to 2009, this study is one of the first to analyze the readability of analysts' reports. We first examine the determinants of variations in analyst report readability. Using several proxies for ability, we show that reports are more readable when issued by analysts with higher ability. Second, we test the relation between analysts' report readability and stock trading volume reactions. We find that trading volume reactions increase with the readability of analysts' text, consistent with theoretical models that predict that more precise information (and hence more informative signals) results in investors' initiating trades. These results support the view that the readability of analysts' reports is important to analysts and capital market participants.     

Disentangling the Pure Time Effect From Site and Preference Heterogeneity Effects in Benefit Transfer: An Empirical Investigation of Transferability

Two identical open-ended contingent valuation surveys assessing willingness-to-pay for better protection against flooding were administered in 2005 and 2010 at the same site. The 2010 survey was administered to the same respondents as those interviewed in 2005 as well as to new participants. This experimental design allows us to separate the pure temporal dimension from the spatial and social dimensions of transferability, thereby permitting an investigation of the temporal reliability associated with a transfer of value estimates over a 5-year time horizon. Having isolated the pure effect of time, the design further allows assessing the social dimension of transferability.     

Risk perception and risk management in Norwegian aquaculture

This exploratory study seeks to provide empirical knowledge about fish farmers' risk attitudes, risk sources and risk management tools by presenting the results from a survey among Norwegian fish farming companies. The results show that fish farmers think of themselves as only moderately risk averse compared, for instance, to crop and livestock farmers. The most important sources of risk are considered to be future salmon prices, institutional risks and fish diseases, while keeping costs low is the most important risk management tool.