Trans-organizational innovation: a framework for research

Information and communication technologies, the evolution of a pattern of innovation based on technology fusion and the transition towards a knowledge-based economy are dominant trends. These trends support trans-organitational innovation, which typically involves the design of complex and technologically hybrid products. Trans-organizational innovation involves generating new knowledge out of knowledge inputs which are distributed across disciplines and organizations which may be geographically dispersed. This is critically dependent on management processes associated with learning. Learning is a contextually situated and interaction-intensive process, which during product innovation involves mutual interaction between characteristics of product and those of context. Such interactions continually evolve the designed form and functionalig of a product. Existing research has tended to neglect the complexities involved in trans-organitational innovation. A product-in-context framework for analyzing the trans-organitational innovation process is detailed in this paper. This framework can be used to examine the relationship between critical features at Product and context which mediate learning during trans-organizational product design and innovation and account for product design variation.     

Superexponential long-term trends in information technology

Moore's Law has created a popular perception of exponential progress in information technology. But is the progress of IT really exponential? In this paper we examine long time series of data documenting progress in information technology gathered by [1]. We analyze six different historical trends of progress for several technologies grouped into the following three functional tasks: information storage, information transportation (bandwidth), and information transformation (speed of computation). Five of the six datasets extend back to the nineteenth century. We perform statistical analyses and show that in all six cases one can reject the exponential hypothesis at statistically significant levels. In contrast, one cannot reject the hypothesis of superexponential growth with decreasing doubling times. This raises questions about whether past trends in the improvement of information technology are sustainable.     

Elastic demand, sunk costs and the Kreps–Scheinkman extension of the Cournot model

Summary. The paper shows that, with any rationing mechanism between the efficient and proportional extremes, the Kreps-Scheinkman two-stage quantity-price game reduces to the Cournot model if demand is uniformly elastic and if all costs are sunk at the first stage, thus providing positive results to set against existing negative statements. Received: May 24, 1995; revised version: March 6, 1997     

Competition and public high school performance

Increasing the level of school competition has been suggested as a way to improve school performance. This study examines one of the most extreme examples of such reform using data from New Zealand public high schools. In the 1990s school zoning was abolished in New Zealand and public schools competed for students, not just with private schools, but also with each other. A categorical Data Envelopment Analysis model using data on school resources and student academic performance, stratified using student socio-economic characteristics, is used to calculate efficiency scores for schools. A regression model is then used to analyse differences in these efficiency scores and their relationship to different levels of competition.     

Mutual Caring—Resolving Habituation Through Awareness: Supporting Meaningful Learning From Projects

This study used Grounded Theory methodology and developed an emergent theory of Mutual Caring. The main concern was Habituation to ineffective lessons learned sharing practices. Habituation is resolved through Mutual Caring, a socially and psychologically adaptive process. Mutual Caring involves comfortable conversations, engaging/sharing, and developing self‐confidence, resulting in an enhanced wisdom pool. This paper extends the emphasis on tangible knowledge‐sharing mechanisms. Mutual Caring could lead to better outcomes, such as more accessible and usable knowledge, a project management wisdom pool, and criteria for improved dyadic relationships to enhance project learning.     

Two-stage DEA: <Emphasis Type=Italic>caveat emptor</Emphasis>

This paper examines the wide-spread practice where data envelopment analysis (DEA) efficiency estimates are regressed on some environmental variables in a second-stage analysis. In the literature, only two statistical models have been proposed in which second-stage regressions are well-defined and meaningful. In the model considered by Simar and Wilson (J Prod Anal 13:49–78, 2007), truncated regression provides consistent estimation in the second stage, where as in the model proposed by Banker and Natarajan (Oper Res 56: 48–58, 2008a), ordinary least squares (OLS) provides consistent estimation. This paper examines, compares, and contrasts the very different assumptions underlying these two models, and makes clear that second-stage OLS estimation is consistent only under very peculiar and unusual assumptions on the data-generating process that limit its applicability. In addition, we show that in either case, bootstrap methods provide the only feasible means for inference in the second stage. We also comment on ad hoc specifications of second-stage regression equations that ignore the part of the data-generating process that yields data used to obtain the initial DEA estimates.