Creating a quantum design schema: Integrating extra-rational and rational learning processes

The traditional, linear, rational models of designing have over-simplified a complex process; unfortunately, this simplification misrepresents reality. Students need to become aware of the ambiguous nature of a complex process such as designing just as they need to be introduced to the ambiguous nature of living in a modern world. The challenge is to develop a design process to be used as a teaching/learning strategy that is non-linear, that integrates processes from the rational and extra-rational levels of the mind and which captures the ambiguous nature of the design process. Using the counter-intuitive behaviour that exists in quantum theory as an analogy seems best to describe the true nature of designing.Dr. Tom Puk is Coordinator of Continuing Teacher Education, Faculty of Education, Lakehead University, Thunder Bay, Ontario, Canada. He teaches in preservice, continuing education and graduate programs, and has conducted major research for Ontario Ministry of Education on Technology Education and Design Processes in 1991; this research was used to develop two provincial curriculum guidelines for all schools in Ontario. Email: tpuk@sky.LakeheadU.CA     

Asymptotically optimal estimation of smooth functionals for interval censoring, part 2

Estimation in the interval censoring model is considered. A class of smooth functionals is introduced, of which the mean is an example. We consider case 2, with two observation times for each unobservable event time, in the situation that the observation times cannot become arbitrarily close to each other. It is proved that the nonparametric maximum likelihood estimator of the functional asymptotically reaches the information lower bound.     

Processes with volatility-induced stationarity: an application for interest rates

In this paper we propose a refinement of the existing definition of volatility-induced stationarity that allows us to distinguish between processes with drift and diffusion induced stationarity and processes with pure volatility-induced stationarity. We also propose a classification of stationary processes with volatility-induced stationarity according to the volatility that is needed to inject stationarity. Processes with volatility-induced stationarity are potentially applicable to interest rate time-series since, as has been acknowledged, mean-reversion effects occur mainly in periods of high volatility. As such, we provide evidence that the logarithm of the Fed funds rate can be modelled as a local martingale with volatility-induced stationarity.     

A Multi-Agent View of Strategic Planning Using Group Support Systems and Artificial Intelligence

The strategic planning process is dynamic and complex. Including a Group Support System (GSS) in the problem-solving process can improve the content quality of the strategic plan by allowing increased participation by more members of the organization. However, it can also add to the complexity of the problem by increasing the quantity of textual information that can result from group activity. Added complexity increases cognitive overload and frustrations of those participants negotiating the contents of the strategic plan. This article takes a multi-agent view of the strategic planning process. It considers group participants as multiple agents concerned with the content quality of the strategic plan. The facilitator agent is responsible for guiding groups in the strategic plan construction process as well as for solving process problems such as cognitive overload. We introduce an AI Concept Categorizer agent, a software tool that supports the facilitator in addressing the process problem of cognitive overload associated with convergent group activities by synthesizing group textual output into conceptual clusters. The implementation of this tool reduces frustrations which groups encounter in the process of classifying textual output and provides more time for discussion of the concepts themselves. Because of the large amount of convergent activity necessary for strategic planning, the addition of the AI Concept Categorizer to the strategic planning process should increase the quality of the strategic plan and the buy-in of the participants in the strategic planning process.     

Virtual forms for the organization of production: A comparative analysis

In the present competitive environment, excellence in each phase of the productive process and flexibility are critical requirements in every business. Virtual enterprises have been proposed as an inter-organizational model characterized by both strong incentives to suppliers’ performance and high flexibility. Nonetheless, virtual enterprises are not ubiquitous as some suggest they should be. This paper compares virtual enterprises with other models for the organization of production: Markets, vertically integrated firms and networks. We formulate hypotheses that virtual enterprises are suitable for firms producing complex, modular products, with frequent changes in components, but low knowledge specificity. Virtual enterprises are suitable for a group of industries that is limited, but of growing importance.     

Marketing metrics' usage: Its predictors and implications for customer relationship management

This research aims to determine the conditions that foster use of marketing metrics in customer relationship management (CRM) and identify the organizational factors that strengthen/weaken the impact of usage of marketing metrics on CRM performance. Based on the customer value-based theory of the firm and the contingency perspective, a research framework was developed to shed light on the predictor roles of customer value-based organizational culture and processes in determining usage of marketing metrics, and foster an understanding of the moderating roles of marketing-supply chain conflict, and innovative value proposition on the marketing metric-performance relationships. Empirical evidence from a sample of 209 business firms confirmed the main effect that customer value-based organizational culture and processes support a firm's use of marketing metrics that in turn enhance its CRM performance. Notable moderating effects were also identified. Although marketing-supply chain conflict weakens the impact of marketing metrics usage in achieving superior CRM performance, innovative value proposition strengthens the conversion of marketing-metric-related knowledge into superior CRM performance.     

从企业价值链看电网企业“三集五大”集约化管理

用企业价值链理论分析了电网企业实施“三集五大”集约化管理的内在价值链模型,厘清了“三集”和“五大”2类活动的特性及其关系,分析了“三集五大”集约化管理的内涵和意义,从组织实施、业务整合、重点选择和信息化建设等方面提出了保障措施建议。     

The Asset Pricing Palette: Cash Flows, Returns and Trading Behavior

Asset pricing is the topic of the 2001 Eastern Finance Association Symposium and the five papers selected for this collection, which are summarized below, span a broad range of subjects that fall under the umbrella of the determinants of market prices. For example, the Schwartz and Moon article that introduces the symposium uses real options methodology to value firms whose cash flows are subject to multiple sources of uncertainty while the Luders and Peisl and Mixon analytical models that close the selections incorporate dual stochastic processes to derive relationships between information flow, trading volume and price volatility that are consistent with empirical evidence. In between, Mishra and O'Brien present new evidence on the important of index and factor selection when estimating the required return on equity and Spahr and Schwebach revisit the issue of time diversification by reintroducing a statistical construct from earlier times. Each of the works included here makes an important contribution to our understanding of the asset pricing process in a distinct area and opens new doors onto avenues for future research.     

Stochastic Conditional Intensity Processes

In this article, we introduce the so-called stochastic conditionalintensity (SCI) model by extending Russell’s (1999) autoregressiveconditional intensity (ACI) model by a latent common dynamicfactor that jointly drives the individual intensity components.We show by simulations that the proposed model allows for awide range of (cross-)autocorrelation structures in multivariatepoint processes. The model is estimated by simulated maximumlikelihood (SML) using the efficient importance sampling (EIS)technique. By modeling price intensities based on NYSE trading,we provide significant evidence for a joint latent factor andshow that its inclusion allows for an improved and more parsimoniousspecification of the multivariate intensity process.