The Value of Crowdsourcing: Can Users Really Compete with Professionals in Generating New Product Ideas?

Generating ideas for new products used to be the exclusive domain of marketers, engineers, and/or designers. Users have only recently been recognized as an alternative source of new product ideas. Whereas some have attributed great potential to outsourcing idea generation to the “crowd” of users (“crowdsourcing”), others have clearly been more skeptical. The authors join this debate by presenting a real‐world comparison of ideas actually generated by a firm's professionals with those generated by users in the course of an idea generation contest. Both professionals and users provided ideas to solve an effective and relevant problem in the consumer goods market for baby products. Executives from the underlying company evaluated all ideas (blind to their source) in terms of key quality dimensions including novelty, customer benefit, and feasibility. The study reveals that the crowdsourcing process generated user ideas that score significantly higher in terms of novelty and customer benefit, and somewhat lower in terms of feasibility. However, the average values for feasibility—in sharp contrast to novelty and customer benefit—tended to be relatively high overall, meaning that feasibility did not constitute a narrow bottleneck in this study. Even more interestingly, it is found that user ideas are placed more frequently than expected among the very best in terms of novelty and customer benefit. These findings, which are quite counterintuitive from the perspective of classic new product development (NPD) literature, suggest that, at least under certain conditions, crowdsourcing might constitute a promising method to gather user ideas that can complement those of a firm's professionals at the idea generation stage in NPD.     

Do computers improve the drawing of a geometrical figure for 10?year-old children?

Nowadays, computer aided design (CAD) is widely used by designers. Would children learn to draw more easily and more efficiently if they were taught with computerised tools? To answer this question, we made an experiment designed to compare two methods for children to do the same drawing: the classical ‘pen and paper’ method and a CAD method. We asked two groups of 14 children to draw a geometrical figure: the Rey-Osterrieth Complex Figure (ROCF). The first group drew it with a pen on a sheet of paper (‘paper’ group) and the second on a computer screen with CAD software (‘computer’ group). Two drawing conditions were studied: ‘Copying’ the figure and drawing from memory. Results showed that the ‘computer’ group was better at copying the figure but that both groups performed equally well when the figure was drawn from memory. These preliminary results suggest that using a CAD tool could help children while they copy a model, but that it does not improve their ability to draw the same figure using their own, internal model.     

Environmental Change, Leadership Succession and Incrementalism in Local Government

A theoretical model of strategic budgetary choices in local government is developed and tested. The model assumes that expenditure decisions are a function of changes in environmental circumstances and the characteristics of local leaders. Environmental change is operationalized through measures of workload, munificence and regulatory controls. Leadership succession is defined as the turnover in managerial and political élites. These environmental and leadership variables are included in a multivariate statistical model of budgetary incrementalism. The model is tested on the spending decisions of 402 English local authorities from 1981 to 1996. The empirical results suggest that the extent of budgetary change is influenced strongly by environmental change but weakly by leadership succession. Furthermore, environmental constraints became tighter during the study period. The characteristics of public sector organizations that impose limits on the strategic choices of new leaders are identified.     

Bayesian and Frequentist Inference for Ecological Inference: The R×C Case

In this paper we propose Bayesian and frequentist approaches to ecological inference, based on R × C contingency tables, including a covariate. The proposed Bayesian model extends the binomial-beta hierarchical model developed by K ing , R osen and T anner (1999) from the 2×2 case to the R × C case. As in the 2×2 case, the inferential procedure employs Markov chain Monte Carlo (MCMC) methods. As such, the resulting MCMC analysis is rich but computationally intensive. The frequentist approach, based on first moments rather than on the entire likelihood, provides quick inference via nonlinear least-squares, while retaining good frequentist properties. The two approaches are illustrated with simulated data, as well as with real data on voting patterns in Weimar Germany. In the final section of the paper we provide an overview of a range of alternative inferential approaches which trade-off computational intensity for statistical efficiency.     

What is different about urban activities of those with access to ICTs? Some early evidence from Québec,Canada

The first wave, conducted in 2002–2003, of an in-depth panel survey in Quebec City, was used to compare the out-of-home activities of adults who had the use of mobile phones, or of internet at home, to those who did not. A unique feature of the survey was the inclusion of respondents’ perceptions of the both the temporal and the spatial flexibility of all executed activities. We find, after statistical controls for other factors, that mobile phone use was positively associated with activity and trip levels, while internet access was negatively associated. These two ICTs also had mostly opposite relationships with the routinisation and pre-arrangement of activities and with some conventionally defined sub-classes of activity.     

The disclosure of key performance indicators in the public sector

This article investigates the disclosure of key performance indicators in the annual reports of Irish public sector organizations. It begins by discussing the two main driving forces behind public sector bodies disclosing performance information in their annual reports for the first time as well as looking at other contributing factors. The present situation with regard to the disclosure of key performance indicators in the whole of Ireland is then analysed. A number of annual reports from central government departments or agencies, local government bodies, other public sector entities and, in the case of the Republic of Ireland, semi-state organizations are examined to see whether such information is being disclosed and, more importantly, whether performance indicators are being linked to predetermined objectives and targets.