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量子信息系统:一种基于感受质意识觉知与信息理论的感受质方法,用于减少战略决策熵。

QuantumIS: A Qualia Consciousness Awareness and Information Theory Quale Approach to Reducing Strategic Decision-Making Entropy.

作者信息

Rodger James A

机构信息

Eberly College of Business & IT, Indiana University of Pennsylvania, Indiana, PA 15701, USA.

出版信息

Entropy (Basel). 2019 Jan 29;21(2):125. doi: 10.3390/e21020125.

Abstract

This paper investigates the underlying driving force in strategic decision-making. From a conceptual standpoint, few studies empirically studied the decision-maker's intrinsic state composed of entropy and uncertainty. This study examines a mutual information theory approach integrated into a state of qualia complexity that minimizes exclusion and maximizes the interactions of the information system and its dynamic environment via logical metonymy, illusion, and epigenetics. The article questions whether decision-makers at all levels of the organization are responding from the consciousness of an objective quale from a more subjective qualia awareness in the narrow-sense perspective of individual instances of their conscious experience. To quantify this research question, we explore several hypotheses revolving around strategic information system decisions. In this research, we posit that the eigenvalues of factor analysis along with the reduction in the uncertainty coefficients of the qualia entropy will be balanced by the quale enthalpy of our information theory structural equation model of trust, flexibility, expertise, top management support, and competitive advantage performance. We operationalize the integration of the aforementioned top management support, information systems competencies, and competitive advantage performance concepts into the qualia consciousness awareness and information theory quale framework.

摘要

本文研究战略决策中的潜在驱动力。从概念角度来看,很少有研究从实证角度考察由熵和不确定性构成的决策者内在状态。本研究考察一种整合到感受质复杂性状态中的互信息理论方法,该方法通过逻辑转喻、错觉和表观遗传学,将信息系统及其动态环境的排除最小化,并使其相互作用最大化。本文质疑组织各级决策者是否从其有意识体验的个别实例的狭义角度,从更主观的感受质意识中对客观感受质的意识做出反应。为了量化这个研究问题,我们探讨了围绕战略信息系统决策的几个假设。在本研究中,我们假定,因子分析的特征值以及感受质熵的不确定性系数的降低,将由我们关于信任、灵活性、专业知识、高层管理支持和竞争优势绩效的信息理论结构方程模型的感受质焓来平衡。我们将上述高层管理支持、信息系统能力和竞争优势绩效概念的整合落实到感受质意识觉知和信息理论感受质框架中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c88/7514615/1b7f9dbfbba4/entropy-21-00125-g0A1.jpg

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