Deterrence and Decision Making: Research Questions and Theoretical Refinements

2009 ◽  
pp. 241-258 ◽  
Author(s):  
Greg Pogarsky
Keyword(s):  
Decision Making ◽  
Research Questions

scholarly journals AI-Enabled Sensing and Decision-Making for IoT Systems

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Hao Qinxia ◽  
Shah Nazir ◽  
Ma Li ◽  
Habib Ullah ◽  
Wang Lianlian ◽  
...  
Keyword(s):  
Decision Making ◽  
Real Life ◽  
Research Community ◽  
Smart Sensors ◽  
Future Research ◽  
New Paradigm ◽  
Exclusion Criteria ◽  
Intelligent Devices ◽  
Research Questions

The influential stage of Internet of Things (IoT) has reformed all fields of life in general but specifically with the emergence of artificial intelligence (AI) has drawn the attention of researchers into a new paradigm of life standard. This revolution has been accepted around the globe for making life easier with the use of intelligent devices such as smart sensors, actuators, and many other devices. AI-enabled devices are more intelligent and capable of doing a specific task which saves a lot of resources and time. Different approaches are available in the existing literature to tackle diverse issues of real life based on AI and IoT systems. The role of decision-making has its own importance in the AI-enabled and IoT systems. In-depth knowledge of the existing literature is dire need of the research community to summarize the literature in effective way by which practitioners and researchers can benefit from the prevailing proofs and suggest new solutions for solving a particular problem of AI-enabled sensing and decision-making for the IoT system. To facilitate research community, the proposed study presents a systematic literature review of the existing literature, organizes the evidences in a systematic way, and then analyzes it for future research. The study reported the literature of the last 5 years based on the research questions, inclusion and exclusion criteria, and quality assessment of the selected study. Finally, derivations are drawn from the included paper for future research.

scholarly journals A comprehensive review of plus-minus ratings for evaluating individual players in team sports

2019 ◽  
Vol 18 (1) ◽  
pp. 1-23 ◽  
Author(s):  
Lars Magnus Hvattum
Keyword(s):  
Decision Making ◽  
Team Sports ◽  
Sports Analytics ◽  
Comprehensive Review ◽  
Sports Events ◽  
Open Research ◽  
New Directions ◽  
Individual Player ◽  
Research Questions ◽  
The Many

AbstractThe increasing availability of data from sports events has led to many new directions of research, and sports analytics can play a role in making better decisions both within a club and at the level of an individual player. The ability to objectively evaluate individual players in team sports is one aspect that may enable better decision making, but such evaluations are not straightforward to obtain. One class of ratings for individual players in team sports, known as plus-minus ratings, attempt to distribute credit for the performance of a team onto the players of that team. Such ratings have a long history, going back at least to the 1950s, but in recent years research on advanced versions of plus-minus ratings has increased noticeably. This paper presents a comprehensive review of contributions to plus-minus ratings in later years, pointing out some key developments and showing the richness of the mathematical models developed. One conclusion is that the literature on plus-minus ratings is quite fragmented, but that awareness of past contributions to the field should allow researchers to focus on some of the many open research questions related to the evaluation of individual players in team sports.

Jack L. Walker, “The Diffusion of Innovations among the American States”

2016 ◽  
Author(s):  
David Levi-Faur
Keyword(s):  
Decision Making ◽  
Political Science ◽  
Diffusion Of Innovations ◽  
Diffusion Study ◽  
American States ◽  
The Future ◽  
Research Questions

This chapter focuses on Jack L. Walker’s 1969 paper “The Diffusion of Innovations among the American States,” which analyzes the phenomenon of diffusion as well as interdependent decision-making in a collective setting. The chapter summarizes Walker’s arguments and the reception of his work in, and its influence on, the field of political science. It then considers the research questions posed, such as why some states act as pioneers by adopting new programs more readily than others, and whether there are more or less stable patterns of diffusion of innovations. It also revisits Walker’s debate with Virginia Gray with regards to the latter’s seminal study “Innovation in the States: A Diffusion Study.” The chapter offers some suggestions on the future progress of diffusion scholarship and its potential to redefine our understanding of politics and policy.

What is a Prototype? What are the Roles of Prototypes in Companies?

2018 ◽  
Vol 140 (6) ◽  
Author(s):  
Carlye A. Lauff ◽  
Daria Kotys-Schwartz ◽  
Mark E. Rentschler
Keyword(s):  
Decision Making ◽  
Product Development ◽  
Empirical Work ◽  
Consumer Electronics ◽  
Informed Decision Making ◽  
Design Practice ◽  
Ethnographic Studies ◽  
Development Cycle ◽  
Research Questions ◽  
Product Development Cycle

Prototyping is an essential part of product development in companies, and yet it is one of the least explored areas of design practice. There are limited ethnographic studies conducted within companies, specifically around the topic of prototyping. This is an empirical and industrial-based study using inductive ethnographic observations to further our understanding of the various roles prototypes play in organizations. This research observed the entire product development cycle within three companies in the fields of consumer electronics (CE), footwear (FW), and medical devices (MD). Our guiding research questions are: What is a prototype? What are the roles of prototypes across these three companies? Through our analysis, we uncovered that prototypes are tools for enhanced communication, increased learning, and informed decision-making. Specifically, we further refine these categories to display the types of communication, learning, and decision-making that occur. These insights are significant because they validate many prior prototyping theories and claims, while also adding new perspectives through further exploiting each role. Finally, we provide newly modified definitions of a prototype and prototyping based on this empirical work, which we hope expands designers' mental models for the terms.

Group Judgment and Decision Making in Auditing: Research in the Time of COVID-19 and Beyond

2021 ◽  
Author(s):  
Tim D. Bauer ◽  
Kerry A. Humphreys ◽  
Ken T. Trotman
Keyword(s):  
Decision Making ◽  
Virtual Teams ◽  
Financial Reporting ◽  
Audit Committee ◽  
Judgment And Decision Making ◽  
Team Members ◽  
Group Judgment ◽  
Audit Firms ◽  
Research Questions ◽  
New Research

The COVID-19 pandemic has fundamentally changed the ways auditors work and interact with team members and others in the financial reporting process. In particular, there has been a move away from face-to-face interactions to the use of virtual teams, with strong indications many of these changes will remain post-pandemic. We examine the impacts of the pandemic on group judgment and decision making (JDM) research in auditing by reviewing research on auditor interactions with respect to the review process (including coaching), fraud brainstorming, consultations within audit firms, and parties outside the audit firm such as client management and the audit committee. Through the pandemic lens and for each auditor interaction, we consider new research questions for audit JDM researchers to investigate and new ways of addressing existing research questions given these fundamental changes. We also identify potential impacts on research methods used to address these questions during the pandemic and beyond.

scholarly journals Surveying Human Habit Modeling and Mining Techniques in Smart Spaces

2019 ◽  
Vol 11 (1) ◽  
pp. 23 ◽  
Author(s):  
Francesco Leotta ◽  
Massimo Mecella ◽  
Daniele Sora ◽  
Tiziana Catarci
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Literature Review ◽  
Visual Analysis ◽  
Future Research ◽  
Specific Method ◽  
Human Intervention ◽  
Smart Space ◽  
Smart Spaces ◽  
Research Questions

A smart space is an environment, mainly equipped with Internet-of-Things (IoT) technologies, able to provide services to humans, helping them to perform daily tasks by monitoring the space and autonomously executing actions, giving suggestions and sending alarms. Approaches suggested in the literature may differ in terms of required facilities, possible applications, amount of human intervention required, ability to support multiple users at the same time adapting to changing needs. In this paper, we propose a Systematic Literature Review (SLR) that classifies most influential approaches in the area of smart spaces according to a set of dimensions identified by answering a set of research questions. These dimensions allow to choose a specific method or approach according to available sensors, amount of labeled data, need for visual analysis, requirements in terms of enactment and decision-making on the environment. Additionally, the paper identifies a set of challenges to be addressed by future research in the field.

Policy analysis in Canada: an introduction

2018 ◽  
pp. 1-24
Author(s):  
Laurent Dobuzinskis ◽  
Michael Howlett
Keyword(s):  
Decision Making ◽  
Policy Analysis ◽  
Significant Variation ◽  
Program Planning ◽  
Past Research ◽  
Policy Advice ◽  
The Other ◽  
Policy Debates ◽  
Research Questions

The ILPA series of country studies displays some significant variation between jurisdictions in terms of the timing and purview of analysis and also shows how the movement towards the application of scientific precepts to policy questions continues to be moderated by adherence to older, more partisan political modes of decision-making and program planning. Despite a discernible trend toward the professionalization of policy advice in most countries, a variety of actors continue to contribute diverse ideas to policy debates, with policy advice systems, and their analytical components, taking diverse forms across nations, sectors and levels of government. In this volume, we present a more systematic and comparative up-to-date understanding of policy analysis practices in Canada than has hitherto been available. This introduction provides an overview of past research into the area and outlines a series of topics and research questions which are addressed in the other contributions to the book.

From Decision Making to Decision Support

2019 ◽  
Author(s):  
Frederic Adam ◽  
Ciara Heavin
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Operations Research ◽  
Human Cognition ◽  
Support Needs ◽  
Managerial Decision ◽  
Full Diversity ◽  
History Of ◽  
Research Questions ◽  
Considerable Depth

In such a complex and well-researched domain as decision support systems (DSS), with a long history of authors making insightful contributions since the 1960’s, it is critical for researchers, especially those less experienced, to have a broad knowledge of the seminal work that has been carried out by prior generations of researchers. This can serve to avoid proposing research questions which have been considered many times before, without having consideration for the answers which have been put forward by previous scholars, thereby reinventing the wheel or “rediscovering” findings about the life of organizations that have been presented long before. The study of human and managerial decision-making is also characterized by considerable depth and seminal research going back to the beginning of the 20th century, across a variety of fields of research including psychology, social psychology, sociology or indeed operations research. Inasmuch as decision-making and decision support are inextricably linked, it is essential for researchers in DSS to be very familiar with both stream of research in their full diversity so they are able to understand both what activity is being supported and how to analyze requirements for developing decision support artefacts. In addition, whilst the area of decision support has sometimes been characterized by technology-based hype, it is critical to recognize that only a clear focus on the thinking and actions of managers can provide decisive directions for research on their decision support needs. In this article, we consider first the characteristics of human cognition, before concentrating on the decision-making needs of managers and the lessons that can be derived for the development of DSS.

scholarly journals Artificial intelligence for team sports: a survey

2019 ◽  
Vol 34 ◽  
Author(s):  
Ryan Beal ◽  
Timothy J. Norman ◽  
Sarvapali D. Ramchurn
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Decision Making ◽  
Outcome Prediction ◽  
Team Sports ◽  
Fantasy Sports ◽  
Sports Teams ◽  
Injury Prediction ◽  
Tactical Decision ◽  
Research Questions

Abstract The sports domain presents a number of significant computational challenges for artificial intelligence (AI) and machine learning (ML). In this paper, we explore the techniques that have been applied to the challenges within team sports thus far. We focus on a number of different areas, namely match outcome prediction, tactical decision making, player investments, fantasy sports, and injury prediction. By assessing the work in these areas, we explore how AI is used to predict match outcomes and to help sports teams improve their strategic and tactical decision making. In particular, we describe the main directions in which research efforts have been focused to date. This highlights not only a number of strengths but also weaknesses of the models and techniques that have been employed. Finally, we discuss the research questions that exist in order to further the use of AI and ML in team sports.

Cabinet Decision-making in Parliamentary Systems

2020 ◽  
pp. 437-459
Author(s):  
Michelangelo Vercesi
Keyword(s):  
Decision Making ◽  
Power Distribution ◽  
Future Research ◽  
Decision Making Process ◽  
Prime Ministers ◽  
Main Research ◽  
Collective Decisions ◽  
Parliamentary Systems ◽  
Research Questions

This chapter deals with the internal decision-making process of political executives in parliamentary systems, that is, how executives take their own collective decisions. The focus is on the cabinet system as a whole, including both cabinet members and other involved party-political and bureaucratic actors. In particular, the chapter reviews literature’s debates about the nature of cabinet government, the role of prime ministers, and variations of decision-making. A special attention is payed to factors explaining intra-cabinet power distribution and the choice of different decision-making arenas. After introducing the topic, an overview of conceptual issues and main research questions is provided. Subsequently, the work discusses the way in which scholars have addressed these issues and the findings they have reached. The final part stresses existing deficits and seeks to set the agenda for future research.

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