Insights from quantum cognitive models for organizational decision making.

White, Lee C.; Pothos, Emmanuel M.; Busemeyer, Jerome R.

doi:10.1016/j.jarmac.2014.11.002

Cited by 21 publications

(12 citation statements)

References 105 publications

(209 reference statements)

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“…Again we regard the notion of collapse operationally (although in physics there are a few theories of "physical collapse"), cf. with White et al (2013White et al ( , 2014White et al ( , 2015, especially White et al (2014).…”

Section: Quantum-like Representation Of States Of the Agentsmentioning

confidence: 88%

Modeling behavior of decision makers with the aid of algebra of qubit creation–annihilation operators

Khrennikova

2017

Journal of Mathematical Psychology

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We present a general model of the process of decision making based on the representation of the basic behavioral variables with the aid of an algebra of qubit creation-annihilation operators, adopted from the quantum information theory. In contrast to the genuine quantum physical systems, which are divided into either bosons or fermions and modeled with the aid of operators, satisfying canonical commutation or anti-commutation relations, decision makers preferences for possible actions are constructed with the aid of operators satisfying the socalled qubit commutation relations. Systems described by operators, satisfying such commutation relations, combine the features of bosons and fermions. Thus, one of the basic consequences of the presented model is that decision makers mimic the combined bosonic-fermionic behavior. By using the algebra of qubit creation-annihilation operators, we proceed with the construction of the concrete operators, describing the process of decision making. In particular, the generators of the quantum Markov dynamics, which is used for modeling human decision making process, are expressed as polynomials of the qubit creation-annihilation operators. The devised coefficients have a natural cognitive and social meaning.

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Section: Quantum-like Representation Of States Of the Agentsmentioning

confidence: 88%

Modeling behavior of decision makers with the aid of algebra of qubit creation–annihilation operators

Khrennikova

2017

Journal of Mathematical Psychology

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“…This system is very similar to the quantum system. In the quantum system, diagonal terms characterize the nonexistence of interference and nondiagonal terms characterize the existence of interference . In like manner, in D‐S theory, diagonal terms indicate that there is no special correction between

A

and

B

, that is to say,

m (A)

and m ( B ) are independent, namely, probability, in this situation,

q = 1

.…”

Section: Proposed Methodsmentioning

confidence: 99%

Uncertainty measure based on Tsallis entropy in evidence theory

et al. 2019

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Dempster-Shafer evidence theory has been widely used in many applications due to its advantages with weaker conditions than Bayes probability. How to measure the uncertainty of basic probability assignment (BPA) in Dempster-Shafer evidence theory is an open and essential issue. Tsallis entropy as nonextensive entropy proposed according to multifractals has been used in many fields. In this paper, a new uncertainty measure of BPA is presented based on Tsallis entropy. The key issue is to determine the value of q in Tsallis entropy. In addition, this paper also analyzes the properties of proposed uncertainty measure. Some numerical examples are used to illustrate the efficiency of the proposed method. Finally, the paper also discusses the application of the proposed method in decision-making. K E Y W O R D S basic probability assignment, belief function, Dempster-Shafer evidence theory, Tsallis entropy, uncertainty | INTRODUCTIONUncertainty plays an important role in real-world and is inevitable in decision-making. 1-5 To handle uncertainty, a lot of theories have been developed, for example, probability theory, 6,7 Dempster-Shafer (D-S) evidence theory, 8,9 fuzzy sets, 10-13 gray model, 14 and Z number. [15][16][17][18] Among these methods, D-S evidence theory has attracted many research' attention due to its extension of Bayesian theory, [19][20][21][22] with the efficiency to deal with imprecise information. 8,23 Measuring the uncertainty of basic probability assignment function (BPA) in D-S theory is essential [24][25][26][27] and can be applied in many applications. [28][29][30]

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“…Decision-making is a complex process, which makes it difficult to manage problems and make decisions successfully [27,28]). The Decision-Making Success is a valuable strategic outcome of implementing Internal Control System Quality and the usefulness of financial information [29].…”

Section: Literature Review and Hypotheses Developmentmentioning

confidence: 99%

Internal Control System Quality and Decision-Making Success: The Role of the Financial Information Quality

Monteiro¹,

Vale²,

Cepêda³

et al. 2021

ujaf

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This study aims to develop and evaluate a Decision-Making Success contingency model to assess its dependency on Internal Control System Quality and Financial Information Quality. The authors developed a study based on a sample of 381 Portuguese managers. The structural equations model was used in the analysis of causal relationships between different constructs. Results show that Internal Control System Quality contributes directly to Decision-Making Success. Moreover, Internal Control System Quality and Financial Information Quality are determining factors for Decision-Making Success since Internal Control System Quality has a significant direct impact on Financial Information Quality (with a 64% coefficient of determination) and indirect on Decision-Making Success. The model justifies 67% of the variance of the dependent variable. This research covers a literature gap, since it identifies innovatively, two independent variables that are determinant for Decision-Making Success from the Portuguese companies' manager perspective. This study is relevant to literature development, as it develops and evaluates an original model, and to managers, in the sense that it identifies factors that contribute to Portuguese companies' success.

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Insights from quantum cognitive models for organizational decision making.

Cited by 21 publications

References 105 publications

Modeling behavior of decision makers with the aid of algebra of qubit creation–annihilation operators

Modeling behavior of decision makers with the aid of algebra of qubit creation–annihilation operators

Uncertainty measure based on Tsallis entropy in evidence theory

Internal Control System Quality and Decision-Making Success: The Role of the Financial Information Quality

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