The Influence of Managerial Orientation in Decision-Making Processes

ACCRUALS ◽  
2020 ◽  
Vol 4 (01) ◽  
pp. 1-8
Author(s):  
Rusdianto Rusdianto
Keyword(s):  
Decision Making ◽  
Resource Allocation ◽  
Stakeholder Theory ◽  
Resource Availability ◽  
Individual Level ◽  
Allocation Process ◽  
Resources Distribution ◽  
Decision Making Processes ◽  
The Individual ◽  
Resource Allocation Process

This research aims to examine managerial preferences in the resource allocation process. This research used an experimental method to test whether resource availability, stakeholder claims, and managers’ affiliations to stockholders can influence the decision-making process of resource allocation. The results show that resource availability, stakeholder claims, and managers’ affiliation could influence the resource allocation process. The results of the research contribute to several things. The first is to show that stakeholder theory can test managerial preferences at the individual level. Secondly, the resources distribution is influenced by behavioral factors associated with normative stakeholder theory.

The Individual and Administrative Justice

2021 ◽  
Author(s):  
Naomi Creutzfeldt
Keyword(s):  
Decision Making ◽  
Justice System ◽  
Service Users ◽  
Perceptions Of Fairness ◽  
Decision Making Processes ◽  
The Subject ◽  
Individual Justice ◽  
The Individual ◽  
Individual Service ◽  
Administrative Justice

This chapter discusses what individual justice means in the realm of administrative justice. The standards of justice and fairness that apply in administrative decision-making need consideration from the perspective of the service user. Should the administrative justice system serve the citizen or the state? What role do individual service users have in the design, use, and evaluation of more bureaucratic systems of redress? Different notions of justice, as they relate to primary decision-making processes, have been described through various models. This chapter provides a set of tools with which to study the subject and argues for the importance of user voice and perceptions of fairness in the provision of a more citizen-focussed justice.

scholarly journals Recommendation with Diversity: Mass Diffusion Model Based on Trust Network and Object Reputation

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Yun Bai ◽  
Wandong Cai
Keyword(s):  
Resource Allocation ◽  
Diffusion Model ◽  
Recommendation System ◽  
Small Degree ◽  
Mass Diffusion ◽  
Recommendation Algorithm ◽  
Trust Relationship ◽  
Positive Effects ◽  
Allocation Process ◽  
Resource Allocation Process

The traditional mass diffusion recommendation algorithm only relies on the user’s object collection relationship, resulting in poor recommendation performance for users with small purchases (i.e., small-degree user), and it is difficult to balance the accuracy and diversity of the recommendation system. This paper introduces the trust relationship into the resource allocation process of the traditional mass diffusion algorithm and proposes the Dual Wing Mass Diffusion model (DWMD), which constructs a dual wing graph based on trust relationships and object collection relationships. Implicit trust is mined according to the network structure of the trust relationship and integrated into the resource allocation process, and then merging the positive effects of object reputation on a recommendation through tunable scaling parameters. The user controls the tunable scaling parameter to achieve the best recommendation performance. The experimental results show that the DWMD method significantly improves diversity and novelty while ensuring high accuracy and effectively improves the accuracy and diversity balance. The improved recommendation performance for small-degree users proves that the trust relationship can effectively alleviate the generalized cold start problem of the recommendation algorithm for users who collect a small number of objects.

The Resource Allocation Process

2018 ◽  
pp. 79-93
Author(s):  
Richard Busulwa ◽  
Matthew Tice ◽  
Bruce Gurd
Keyword(s):  
Resource Allocation ◽  
Allocation Process ◽  
Resource Allocation Process

Cybersecurity Research: A Review of Current Research Topics

2018 ◽  
Vol 03 (04) ◽  
pp. 1850014 ◽  
Author(s):  
Yang Lu
Keyword(s):  
Systematic Review ◽  
Decision Making ◽  
Work Setting ◽  
Research Topics ◽  
Individual Level ◽  
Integrative Framework ◽  
Organization Level ◽  
R Project ◽  
Decision Making Processes ◽  
First Time

This paper presents a systematic review of empirical research on cybersecurity issues. 14 empirical articles about cybersecurity, published in the two top IS journals, MISQ (12) and ISR (2), between 2008 and 2017, were selected and analyzed, classified into three categories: individual level (non-work setting), employee level (work setting), and organization level (policy/regulation environment). This paper provides a holistic picture of cybersecurity issues, for instance, fundamental theories, impressive research methods, and influencing factors. More importantly, for the first time an integrative framework was developed by R Project, which potentially text-mines end-users’ behaviors and decision-making processes toward cybersecurity under the circumstance of security breach. Some explanations of extant empirical study and potential research are addressed and discussed as well.

The Development of Distinct Choice Process Segments over Time: A Stochastic Modeling Approach

1982 ◽  
Vol 46 (2) ◽  
pp. 48-59 ◽  
Author(s):  
Donald R. Lehmann ◽  
William L. Moore ◽  
Terry Elrod
Keyword(s):  
Decision Making ◽  
Problem Solving ◽  
Stochastic Modeling ◽  
Information Acquisition ◽  
Response Behavior ◽  
Model Framework ◽  
Individual Level ◽  
Amount Of Information ◽  
The Individual ◽  
Over Time

This paper examines Howard's (1963) typology dividing decision making into extensive problem solving (ESP), limited problem solving (LSP), and routinized response behavior (RRB). Specifically, the amount of information accessed in a longitudinal experiment is studied. Information acquisition is modeled stochastically at the individual level, and the existence of two segments (LSP and RRB) is tested in a nested-model framework.

Exploring Cognitive Decision-making Processes, Computer-focused Cyber Deviance Involvement and Victimization

2017 ◽  
Vol 54 (5) ◽  
pp. 639-679 ◽  
Author(s):  
Eric R. Louderback ◽  
Olena Antonaccio
Keyword(s):  
Decision Making ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Ordinary Least Squares ◽  
Sensitivity Analyses ◽  
Protective Effects ◽  
Individual Level ◽  
Older Employees ◽  
Decision Making Processes ◽  
Cognitive Decision

Objectives: Investigate the relationship between thoughtfully reflective decision-making (TRDM) and computer-focused cyber deviance involvement and computer-focused cybercrime victimization. Method: Survey data collected from samples of 1,039 employees and 418 students at a large private university were analyzed using ordinary least squares and negative binomial regression to test the effects of TRDM on computer-focused cyber deviance involvement and victimization. Results: TRDM reduces computer-focused cyber deviance involvement and computer-focused cybercrime victimization across measures and samples. The sensitivity analyses also indicated that TRDM is a more robust predictor of cyber deviance involvement than victimization. The results from moderation analyses showed that, whereas protective effects of TRDM are invariant across genders, they are less salient among older employees for the scenario-based measure of cybercrime victimization. Conclusions: Individual-level cognitive decision-making processes are important in predicting computer-focused cyber deviance involvement and victimization. These results can inform the development of targeted institutional and criminal justice policies aimed at reducing computer-focused cybercrime.

A Stochastic Decentralized Resource Allocation Process: Part II

Econometrica ◽  
1975 ◽  
Vol 43 (3) ◽  
pp. 363 ◽  
Author(s):  
Leonid Hurwicz ◽  
Roy Radner ◽  
Stanley Reiter
Keyword(s):  
Resource Allocation ◽  
Allocation Process ◽  
Decentralized Resource Allocation ◽  
Resource Allocation Process

Review of Family Financial Decision Making: Suggestions for Future Research and Implications for Financial Education

2017 ◽  
Vol 28 (2) ◽  
pp. 253-267 ◽  
Author(s):  
Jinhee Kim ◽  
Michael S. Gutter ◽  
Taylor Spangler
Keyword(s):  
Decision Making ◽  
Decision Process ◽  
Family System ◽  
Financial Education ◽  
Future Research ◽  
Financial Decisions ◽  
Individual Level ◽  
Financial Decision Making ◽  
Financial Decision ◽  
The Individual

This article reviews the theories and literature in intrahousehold financial decisions, spousal partners and financial decision making, family system and financial decision process, children, and financial decisions. The article draws conclusions from the literature review and discusses directions for future research and educational programs. Most financial education and counseling takes place at the individual level, whereas financial decisions take place at household and intrahousehold levels. Family members, spouses/partners, children, and others play a key role in individuals’ financial decisions. The article proposes the key programmatic implications for financial professionals and educators that need to be integrated into financial education and counseling. Understanding the unique dynamics of family financial decision making would help create effective educational and counseling strategies for the whole families.

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