Queensland State Impact and Projection Model: The Household Sector

The Queensland Impact and Projection model is an integrated input–output econometric model of the Queensland economy. Its purpose is to complement a conventional input–output model for analyzing economic impacts at the state level. This paper provides an overview of some of the methods used to model the household sector in an input–output framework, before describing the approach taken in the Queensland model. Some results which support the empirical performance of the model are also provided. It is demonstrated that the integrated model is a viable alternative and improvement on the conventional input–output model. The results are consistent with the static input–output model and conform to expectations about how the economy responds in real impact situations.     

An analysis of the effect of fringe benefit offerings on the turnover of hourly housekeeping workers in the hotel industry

This study examined the effects on turnover associated with the benefits offered to housekeeping employees of 174 hotels in the southeastern United States. Bio-Medical Data Processing (BMDP) analysis was used to identify those benefits which tended to result in lower turnover rates among housekeeping employees. Significant turnover differences were discovered between the various benefits offered.     

CEO expectations of the pharmacist materiel manager

The pharmacist possesses the knowledge and skills required of a materiel manager. The pharmacist must be willing to adapt to the materiel management environment. The resultant loss of certain clinical skills is inevitable. The pharmacist who does not accept this will not succeed. The CEO should expect this.     

Challenges of open innovation: the paradox of firm investment in open-source software

Open innovation is a powerful framework encompassing the generation, capture, and employment of intellectual property at the firm level. We identify three fundamental challenges for firms in applying the concept of open innovation: finding creative ways to exploit internal innovation, incorporating external innovation into internal development, and motivating outsiders to supply an ongoing stream of external innovations. This latter challenge involves a paradox, why would firms spend money on R&D efforts if the results of these efforts are available to rival firms? To explore these challenges, we examine the activity of firms in open‐source software to support their innovation strategies. Firms involved in open‐source software often make investments that will be shared with real and potential rivals. We identify four strategies firms employ – pooled R&D/product development, spinouts, selling complements and attracting donated complements – and discuss how they address the three key challenges of open innovation. We conclude with suggestions for how similar strategies may apply in other industries and offer some possible avenues for future research on open innovation.     

Numerosity: Forward and Reverse Stock Splits

Abstract

Individuals have a tendency to fixate on large numbers and ignore other relevant information in their decision making process. The numerosity heuristic, a cognitive bias, is the first behavioral hypothesis to explain why investors prefer to receive more shares (rather than less shares) in a stock split even though the aggregate economic value is the same. For forward splits, after controlling for the positive signaling of improved earnings growth and liquidity from the split announcement, the stock price reacts positively to the larger number of shares issued. More importantly, the use of a dual class numerosity model can explain why most conventional hypotheses fail to explain the negative stock price reaction to reverse splits. Given a typical bearish outlook associated with a reverse stock split, investors’ cognitive resources have already been conditioned to derive a systematic conclusion to sell the stock at the higher price. Focusing only on large stock price numerosity, investors are incorrectly inferring a higher investment value. As the high numerosity encourages bearish investors to sell at the higher perceived investment value, the stock returns react more negatively to the higher post-reverse split price level. In both forward and reverse split cases, investors react to high numerosity.     

Heterogeneous agent modelling of technology adoption in competitive agricultural markets

Slow adoption rates of innovation in rural settings are a source of frustration for technology advocates. Adoption decisions consume two valuable but limited resources: (1) time, and (2) capacity to integrate new information. We explore the structural sociological factors using a heterogeneous agent programming model (HAM) to understand the mechanics of socio-economic linkages of diffusion in rural settings. Diffusion constraints are introduced in the form of network-threshold values that reflect the cumulative effects of experience and observation of peers’ experiences. We test a range of confounding factors and find that strong social pressures dramatically increase both innovation diffusion penetration and irregularity. Clustering is caused by strong social pressures and the aggregation of buyers near innovative firms which creates a pattern of buying explosions. As competition between innovators increases, the resulting diffusion process becomes more variable and irregular and is highly likely to result in innovation monopolies in rural areas.