This article reviews methods to the development of a decision support system (DSS) solution for small business owners/managers. The main objective of designing the DSS artefact is to support the strategic decision-making for achieving competitive advantages in the business-to-consumer (B2C)...

This paper reports a multi-method study that investigated adolescents' experiences of cyberbullying. Sixty-one students (grades 10-12) responded to a survey that requires answers of both quantitative and qualitative nature. Quantitative data were statistically analyzed to understand frequencies...

In the study of decision-making, the classical view of behavioral appropriateness or rationality was challenged by neuro and psychological reasons. The “bounded rationality” theory proposed that cognitive limitations lead decision-makers to construct simplified models for dealing with the...

In this paper, the authors describe the development of a Decision Support System (DSS) in the spunlace nonwoven production industry. The suggested DSS utilizes domain ontology and a collaborative platform that allows operators to share and exchange experiences in the industrial diagnosis in...

The purpose of this article is to investigate and model retail consumer purchase behavior and determine factors affecting the purchasing decision. The following hypotheses were verified: H1 tests the influence of “Decision-making Time” over “Final Purchase”. H2 tests “Promotion” over...

A single valued neutrosophic set (SVNS) is a subclass of neutrosophic sets, which generalizes fuzzy sets, interval valued fuzzy set, and intuitionistic fuzzy set. It can be used to easily express incomplete, indeterminate and inconsistent information. This paper introduces the Dice similarity...

The modeling approach is relevant to support the decision-making process. Modeling requires a structured approach, knowledge and specific analytical skills in order to obtain an appropriate representation of the situation under analysis. Nevertheless, creating a good representation of the...

Information management is an essential part in the public budgetary process. This paper analyzes the theoretical basis, tools, and consequences of information management throughout a budget cycle. Budgeters and decision makers need necessary financial data related to all types of revenues and...

This article explores the stochastic capabilities offered by Markov theories combined with business transaction models, from the Enterprise Engineering field, to contribute to the decision-making body of knowledge. An agro-food case study shows the utility of this solution and the evaluation...