The emergence of new networked business models from technology innovation: an analysis of 3-D printing design enterprises

Technology does not have intrinsic value: obtaining competitive advantage from it and transforming it into profits requires a business model based on the application of competencies and dynamic capabilities, and the ability to select and apply appropriate resources. Innovative 3-D printing technology appears to be dependent on a new business model based on the ability to structure and integrate creative inputs, crowdsourcing processes, and market distribution networks. This new business model is being used by design enterprises that employ 3-D printing technology in order to enrich their service portfolio or to inaugurate completely new business lines. This paper analyzes how the use of new 3-D printing technology in design enterprises is coupled with proper business model components. Through a qualitative analysis of three cases - Quirky, i.materialise and Fab-Lab - the authors develop four propositions on a number of factors that contribute to business model effectiveness in design ventures using 3-D printing technology.     

Reliable Inference in Categorical Regression Analysis for Non‐randomly Coarsened Observations

In most surveys, one is confronted with missing or, more generally, coarse data. Traditional methods dealing with these data require strong, untestable and often doubtful assumptions, for example, coarsening at random. But due to the resulting, potentially severe bias, there is a growing interest in approaches that only include tenable knowledge about the coarsening process, leading to imprecise but reliable results. In this spirit, we study regression analysis with a coarse categorical‐dependent variable and precisely observed categorical covariates. Our (profile) likelihood‐based approach can incorporate weak knowledge about the coarsening process and thus offers a synthesis of traditional methods and cautious strategies refraining from any coarsening assumptions. This also allows a discussion of the uncertainty about the coarsening process, besides sampling uncertainty and model uncertainty. Our procedure is illustrated with data of the panel study ‘Labour market and social security' conducted by the Institute for Employment Research, whose questionnaire design produces coarse data.     

Conducting Mode 2 research in HRM: A phase‐based framework

Recent studies in the field of human resource management (HRM) have highlighted that current research is mostly performed and consumed by academics, and is driven by theoretical and disciplinary concerns rather than practical ones. This debate has invoked the need to produce more Mode 2 research in the HRM field, that is, research driven by practical problems that integrate collaborative efforts by academics and practitioners. Yet, guidelines on how academics and practitioners may implement Mode 2 research remain disjointed and incomplete. Our study provides a phase‐based collaborative‐based framework for the implementation of Mode 2 research in the HRM field, in ways that both academic rigor and practical relevance are achieved. Our framework is informed by a comprehensive review of previous Mode 2 research, within and outside the HRM field. The proposed framework details four macro‐phases: the codevelopment of research questions with practitioners; the design of collaborative spaces and mechanisms; the design and management of double‐loop iterative research processes; and finally the academic and practice legitimization of Mode 2 outcomes. Our framework has the objective to support HRM researchers and practitioners, as well as relevant institutions and gatekeepers in the design, implementation, education, and assessment of Mode 2 research.     

The effects of economic news on commodity prices

We assess how commodity prices respond to macroeconomic news and show that commodities have been relatively insensitive to such news over daily frequencies between 1997 and 2009 compared to other financial assets and major exchange rates. Where commodity prices are influenced by news, there is a pro-cyclical bias and these sensitivities have risen as commodities have become increasingly financialized. However, models based on news still do a relatively poor job of forecasting commodity prices at daily frequencies. We also find some asymmetries in how commodity prices respond to news, most notably for gold, which alone among commodities acts as a safe-haven when “bad” economic news emerges.     

Bids as a Vehicle of (Mis)Information: Collusion in English Auctions with Affiliated Values

In an English auction, a bidder’s strategy depends on the prices at which his competitors drop out, because these convey information on the value of the object on sale. A ring of colluding bidders can strategically manipulate the information transmitted through its members’ bids, in order to mislead other bidders into bidding less aggressively and thus allow a designated bidder to bid more aggressively. Collusion increases the probability that the ring wins the auction and reduces the price it pays. The presence of a ring harms other bidders (as well as the seller) and reduces efficiency.     

INFORMATION IN THE YIELD CURVE: A MACRO‐FINANCE APPROACH

We use a macro‐finance model, incorporating macroeconomic and financial factors, to study the term premium in the US bond market. Estimating the model using Bayesian techniques, we find that a single factor explains most of the variation in bond risk premiums. Furthermore, the model‐implied risk premiums account for up to 40% of the variability of one‐ and two‐year excess returns. Using the model to decompose yield spreads into an expectations and a term premium component, we find that, although this decomposition does not seem important to forecast economic activity, it is crucial to forecast inflation for most forecasting horizons. Copyright © 2012 John Wiley & Sons, Ltd.     

Understanding employee preferences for investing in employer stock: evidence from France

In this article, we broaden the focus of existing research on employee stock purchase plans by analysing employee preferences for investing in employer stock as a construct distinct from actual investment behaviour. In our analysis of original survey data in a sample of 900 employees in four French companies, we find that employee preferences are influenced by two common cognitive heuristics (representativeness and familiarity), organisational commitment, the perceived quality of corporate communications about these plans and perceived managerial commitment to employee ownership. We did not find, however, that risk aversion, turnover intentions or perceived employee involvement in decision making influenced preferences for investing in employer stock. Our findings have both theoretical and practical implications for understanding and operating these types of employee benefit plans, which are becoming more common across the globe.     

EXTREME VALUE THEORY IN FINANCE: A SURVEY

Extreme value theory is concerned with the study of the asymptotic distribution of extreme events, that is to say events which are rare in frequency and huge in magnitude with respect to the majority of observations. Statistical methods derived from it have been employed increasingly in finance, especially for risk measurement. This paper surveys some of those main applications, namely for testing different distributional assumptions for the data, for Value‐at‐Risk and Expected Shortfall calculations, for asset allocation under safety‐first type constraints, and for the study of contagion and dependence across markets under conditions of stress.     

PERFORMANCE MEASUREMENT IN SOLIDARITY ECONOMY ORGANIZATIONS: THE CASE OF FAIR TRADE SHOPS IN ITALY

ABSTRACT: The aim of this paper is to introduce a multidimensional assessment model for organizations that have multiple goals and are not driven exclusively by profit. Therefore, it is an assessment method particularly suitable for social enterprises. In order to measure the efficiency of production units in each dimension, the Data Envelopment Analysis non‐parametric method is applied. Our case study is concerned with Fair Trade shops and members of the consortium Altromercato for which we collected variables that could be associated with input and output for the economic, socio‐cultural and organizational dimensions. The results of the analysis confirm the presence of economies of scale in the economic dimension but not in the socio‐cultural dimension. Moreover, our organizational analysis confirmed a low general professionalization. Our results also confirm, on the one hand, the more pronounced capacity of cooperatives to sell Fair Trade products compared to associations, which, on the other hand, have the tendency to achieve proportionately better results in the socio‐cultural dimension.     

Fiscal Policy in Europe: How Effective Are Automatic Stabilisers?

It is largely recognised that fiscal policy will have largerresponsibilities for cyclicalstabilisation in EMU given the loss of the monetary instrument.At the same time, theEMU's budgetary framework emphasises the need to rely onautomatic fiscal stabilisers,rather than active policies in cushioning the business cycle.We show that automaticstabilisers are relatively powerful in the event of shocksto private consumption, but lessso in the case of shocks to private investment and exports.In the case of supply sideshocks, the automatic stabilisers are largely ineffective,but this may actually be a goodthing to the extent that supply-side disturbances call forstructural adjustment rather thancyclical stabilisation.