Near-infrared diode laser spectroscopy of the HCSi radical

The , , and band spectra of HCSi radical were investigated by means of near-infrared diode laser spectroscopy to determine precise molecular constants for the and states. The detailed analysis of the rotationally resolved band spectra, studied for the first time in the present investigation, leads to the precise determination of molecular constants for the state associated with the Renner-Teller interaction. We obtained −0.15126663(53) and 495.00698(30) cm⁻¹ as the Renner-Teller parameter ε and the bending vibrational frequency ω₂, respectively. Based on the molecular constants for the and states, the rotational levels of the state were analyzed to obtain molecular constants and information on upper state perturbations. Using the available spectroscopic data, valence force fields for both the and states were estimated to aid in understanding the vibrational energy levels of the HCSi radical.     

Designing Firm Integrating Processes from the Knowledge-Based View—Graduate Student Best Paper Award, CASOS 2002 Conference

The knowledge-based view provides a powerful perspective for analyzing and understanding the firm. However, some of its assumptions have proven difficult to operationalize, making hypothesis testing difficult. One strategically important assumption is that firm competitive advantage depends on effective integrating processes. This paper develops a more precise specification of effective integrating processes. Then, two integrating processes are modeled using an agent-based simulation approach to test a set of factors believed to influence knowledge transfer and application. Results support several hypotheses generated by the knowledge-based view including: (1) greater levels of tacit knowledge transfer enhance the performance benefits gained from integrating processes, and (2) integrating processes with greater task uncertainty benefit from more formal information communication. The results also suggest that the design and management of firm integrating processes is a complex undertaking that requires a clear understanding of (1) the primary performance measure(s) used to evaluate the process, (2) the nature of the process tasks (e.g., routine vs. idiosyncratic), and (3) the knowledge required to perform those tasks (e.g., explicit vs. tacit).     

Virtual worlds as meeting places for formal systems

Over the last seven years, we have been exploring the use of collaborative virtual environments called Virtual Worlds (VWs) as a new type of testbed for experimenting with ways of organizing and integrating diverse types of computational and human processes. In other papers, we have discussed a wide variety of applications to fields as diverse as education and software engineering. In this paper, we focus on some of the mathematical experiments we are currently building in these environments.     

Stochastic evolution of innovation diffusion in heterogeneous groups: study of life cycle patterns

A theoretical framework has been proposed to study patternsof innovation diffusion in a heterogeneous population, withapplicability to a number of problem areas including marketing.The heterogeneity in the population is captured through randomlyvarying parameters, which have been modelled in terms of two-pointdistributions. The effect of heterogeneity leads to the generationof bi-modal life cycle patterns besides the conventional uni-modalpattern resulting from S-shaped curve. The stochastic evolutionof the mean and variance of the number of adopters is foundto depict a high level of relative fluctuation around the pointof inflexion. As a result of randomness in parameters, the resultingdifferential equation for the evolution of the mean of the adoptionprocess is characterized by a non-autonomous system having parameterswhich are no longer constant but become time dependent. Fordemonstrating the effectiveness of the proposed framework, areal data set which depicts a bi-modal life cycle curve is investigated.The fit is found to be extremely good while capturing appropriateproduct life cycle curve.