scholarly journals The Retail Industry’s Impact of Artificial Intelligence Chatbots and Augmented-Reality Applications: An examination of trust and satisfaction of the Youth Vietnamese online shopping

2022 ◽  
Vol 8 (7-9) ◽  
Author(s):  
Phuoc Van Nguyen ◽  
Duc Dang Thi Viet
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Augmented Reality ◽  
Customer Service ◽  
Online Shopping ◽  
Empirical Testing ◽  
Proposed Model ◽  
Effective Decision ◽  
Effective Decision Making ◽  
Retail Setting

As competition in the retail industry heats up, businesses are increasingly resorting to kinds of artificial intelligence (AI) to differentiate themselves. E-commerce firms are combining technologies such as AI chatbots and augmented reality applications (ARA), which have established themselves as prominent customer service solutions in the practitioner area. However, little is known about consumers’ views and participation with developing technologies when they are implemented in a retail setting. A theory-based study model was developed to elucidate the motivational factors required for effective decision-making in this environment. The proposed model was supported by empirical testing conducted as a field study. 

scholarly journals Using artificial intelligence for effective decision-making in corporate governance under conditions of deep uncertainty

2020 ◽  
Vol 89 ◽  
pp. 03008
Author(s):  
Aleksandra Volosova ◽  
Ekaterina Matiukhina
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Corporate Governance ◽  
Tensor Model ◽  
Deep Uncertainty ◽  
Process Uncertainty ◽  
Dempster Shafer Theory ◽  
Effective Decision ◽  
Effective Decision Making ◽  
Shafer Theory

The article deals with research related to the use of artificial intelligence technologies for effective decision-making in corporate governance under conditions of deep uncertainty. To process uncertainty, it is proposed to use the cognitive capabilities of artificial intelligence. Cognitivism can be used to implement intuitive, psychological and other components of the internal mental activity of a person when making decisions. These capabilities allow one to make informed decisions and predict the consequences of these decisions. To study the properties of deep uncertainty, the authors suggest using a tensor model. The tensor model of deep uncertainty makes it possible to study additional properties of uncertainty that are not available in traditional models, such as Bayesian formalism, Dempster-Shafer theory, fuzzy sets, a method based on certain factors (Stanford formalism), and others. The use of the tensor model allows one to study the spatial model of uncertainty, real and imaginary values of uncertainty, as well as uncertainty invariants with respect to various transformations of the coordinate system.

Parliamentarism and the Legislative Branch

2017 ◽  
Author(s):  
András Sajó ◽  
Renáta Uitz
Keyword(s):  
Decision Making ◽  
Political Parties ◽  
Legislative Branch ◽  
Effective Decision ◽  
The Law ◽  
Internal Operations ◽  
Effective Decision Making ◽  
The Relationship ◽  
Law Making

This chapter examines the relationship between parliamentarism and the legislative branch. It explores the evolution of the legislative branch, leading to disillusionment with the rationalized law-making factory, a venture run by political parties beyond the reach of constitutional rules. The rise of democratically bred party rule is positioned between the forces favouring free debate versus effective decision-making in the legislature. The chapter analyses the institutional make-up and internal operations of the legislature, the role of the opposition in the legislative assembly, and explores the benefits of bicameralism for boosting the powers of the legislative branch. Finally, it looks at the law-making process and its outsourcing via delegating legislative powers to the executive.

Computing an effective decision making group of a society using social network analysis

2013 ◽  
Vol 28 (3) ◽  
pp. 577-587 ◽  
Author(s):  
Donghyun Kim ◽  
Deying Li ◽  
Omid Asgari ◽  
Yingshu Li ◽  
Alade O. Tokuta ◽  
...  
Keyword(s):  
Decision Making ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Effective Decision ◽  
Effective Decision Making

Effective Decision Making in a Life Company

2005 ◽  
Vol 11 (1) ◽  
pp. 133-166
Author(s):  
M. Iqbal
Keyword(s):  
Decision Making ◽  
Decision Theory ◽  
Systematic Approach ◽  
Decision Making Process ◽  
Recent Past ◽  
Past Life ◽  
Effective Decision ◽  
Effective Decision Making ◽  
Value Measurement

ABSTRACTIn the recent past life companies have made many decisions which they have had cause to deeply regret. This paper looks at the range of decision making theories available. It then examines recent examples of decisions that had unfavourable consequences and explores why they were taken, and goes on to describe a systematic approach to decision making which can help management assess more objectively the difficult choices confronting them today. The approach does not require espousal of any specific decision theory or method of value measurement. The focus is on the decision making process and the organisation's capacity to handle change. The paper identifies the three requirements for effective decision making.

Application of Unascertained Measure-Entropy Evaluation Model for Program Selection of Shaft Construction under Complex Conditions

2011 ◽  
Vol 225-226 ◽  
pp. 407-410 ◽  
Author(s):  
Wan Qing Li ◽  
Mu Jie Chen ◽  
Wen Qing Meng
Keyword(s):  
Decision Making ◽  
Evaluation Model ◽  
Entropy Weight ◽  
Program Selection ◽  
Effective Decision ◽  
Effective Decision Making ◽  
Measure Entropy ◽  
Selection Of

An unascertained measure-entropy evaluation model for the program selection of shaft construction under complex conditions is established so that a scientific and effective decision making method is provided in this paper, the evaluation model of shaft construction is established based on unascertained measure and entropy weight theory, then, the model proposed in this paper is applied to evaluate three shaft construction program comprehensively, and the evaluation results show validity and applicability of the model.

Similarity-Based Decision Support for Internet Enabled Supply-Web Interactions

1998 ◽  
Author(s):  
Raj Veeramani ◽  
Narayanan Viswanathan ◽  
Shailesh M. Joshi
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Manufacturing Industry ◽  
Job Shop ◽  
The Internet ◽  
Agent Based ◽  
New Approaches ◽  
Effective Decision ◽  
Use Of The Internet ◽  
Effective Decision Making

Abstract New approaches for decision making are emerging to support the use of the Internet for supply-web interactions in the manufacturing industry. In this paper, we discuss one such paradigm, namely similarity-based decision support. It recognizes that knowledge of similar experiences can support rapid and effective decision making in various forms of supply-web interactions. We illustrate this approach using two prototype systems, WebScout (an agent-based system for customer–supplier matchmaking in the job-shop machining industry context) and TOME (Treasury of Manufacturing Experiences — an Intranet application to aid manufacturability assessment in foundries).

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