scholarly journals Decision Support System to Determine the Location of a Cake Shop Retail Business Using the AHP Method and Simple Additive Weighting (SAW)

SYSTEMATICS ◽  
2020 ◽  
Vol 2 (2) ◽  
pp. 79-85
Author(s):  
Didik Wiguna
Keyword(s):  
Information Technology ◽  
Research Methods ◽  
Decision Process ◽  
Business Processes ◽  
Decision Makers ◽  
Ahp Method ◽  
Collection Method ◽  
Retail Business ◽  
Simple Additive Weighting ◽  
Future Business

The number of research methods in the field of information technology provides choices for decision-makers to apply these methods to their business processes so that the application of these research methods can be developed into applications for researchers themselves or application program developers. In practice the process of implementing these research methods is developed and adapted to existing business processes so that in many implementations these methods can be combined with other methods, one of which is the method of collecting data combined with the method of sorting the decision process to provide an overview of the best results so can make decisions quickly and accurately. The method to be researched here is the AHP method as a data collection method and the Simple Additive Weighting (SAW) method, which is the method that provides the best sequence of results so that this research is expected to be helpful for a decision-maker in conducting future business actions. The research is a form of research from previous studies that discuss the same theme because in this study the researcher wants to get the results between the previous research and this research.

scholarly journals The impact of information technology in decision making process of companies in Kosovo

2018 ◽  
Vol 51 (1-2) ◽  
pp. 13-23
Author(s):  
Emin Qerim Neziraj ◽  
Aferdita Berisha Shaqiri
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Decision Maker ◽  
Business Process ◽  
New Technologies ◽  
Decision Makers ◽  
Decision Making Process ◽  
Or Organization ◽  
The Impact ◽  
Future Business

Before the decision makers set much higher requirements in the decision-making than ever before due to the environment of decision-makers subject to change under the influence of progress and development of new technologies, networking individual or organization inside and the outside environment, and modern means of communication enabling continuous inflow, flow and sharing of data and information. In these modern conditions the process of collecting, analyzing, selecting data and information to make informed decisions in the context of possible restrictions and the available options, and ultimately making decisions as the basis for future business or behavior, is not simplified. The use of new technologies in the decision-making process provided numerous opportunities to facilitate decisions selection. However, the decision maker should still be able to differentiate which knowledge should be used to serve in decision making, and which models, methods, tools, systems, and procedures to be used in certain situations, with the purpose of successful decision selection. In this paper, we will examine the decision making process during the business process of the companies in Kosovo.

scholarly journals Information Technology Risk Assessment: Octave-S Approach

2011 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Bambang Gunawan ◽  
Merry Merry ◽  
Nelly Nelly
Keyword(s):  
Risk Assessment ◽  
Information Technology ◽  
Data Collection ◽  
Literature Review ◽  
Research Methods ◽  
Field Studies ◽  
Risk Identification ◽  
Analysis Method ◽  
Collection Method ◽  
It Risk

Purpose of the research is to identify the risk of IT in the company, to assess all the risk, and take security actions to solve the problem. Research methods used are data collection method and analysis method. Data collection is conducted with literature review and field studies by interview and observation. Analysis is conducted using Operationally Critical Threat, Asset, and Vulnerability (OCTAVE)-S method. The expected result is the risk identification in IT of the company.Index Terms - IT, Risk Assessment, Octave-S

NÖROPAZARLAMA ÜZERİNE BİR DEĞERLENDİRME

2015 ◽  
Vol 3 (2) ◽  
Author(s):  
Erol Ustaahmetoğlu
Keyword(s):  
Consumer Behavior ◽  
Data Collection ◽  
Research Methods ◽  
Correct Answer ◽  
Historical Development ◽  
Collection Method ◽  
Consumer Responses ◽  
General Evaluation ◽  
Traditional Research ◽  
Technological Developments

Traditional research methods are inadequate to predict and explain consumer behavior accurately in some cases. Marketing discipline tries to benefit from new technological developments in order to make up the deficiency subjects’ competence and willingness to express how they feel when they face with stimulus in traditional data collection method has an effect on the success of the method. In traditional methods, subjects often cannot remember or know the correct answer, or even if they know the answer they will give answers that satisfy the researcher. The inadequacy in traditional techniques has driven the researchers to evaluate theconsumer response more accurately. It is observed that in recent years neuromarketing techniques began to be used extensively to measure consumer responses accurate in marketing field. Although neuromarketing is commonly used in marketing field, there are some questions about the efficiency of the method. This study emphasizes the efficiency on the general evaluation of neuromarketing techniques and criticism of it. The aim of this study is to indicate the historical development of application of neuro science on marketing and consumer behavior, and to establish the future of neuro science, its opportunities and threats.

Analytical Study on Big Data

2018 ◽  
Vol 8 (5) ◽  
pp. 75
Author(s):  
Vivek Raich ◽  
Pankaj Maurya
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Decision Maker ◽  
Analytical Study ◽  
Large Data ◽  
Decision Makers ◽  
Continuous Increase ◽  
Analytic Methods ◽  
Data Store ◽  
Business Engineering

in the time of the Information Technology, the big data store is going on. Due to which, Huge amounts of data are available for decision makers, and this has resulted in the progress of information technology and its wide growth in many areas of business, engineering, medical, and scientific studies. Big data means that the size which is bigger in size, but there are several types, which are not easy to handle, technology is required to handle it. Due to continuous increase in the data in this way, it is important to study and manage these datasets by adjusting the requirements so that the necessary information can be obtained.The aim of this paper is to analyze some of the analytic methods and tools. Which can be applied to large data. In addition, the application of Big Data has been analyzed, using the Decision Maker working on big data and using enlightened information for different applications.

The Effects of Decision Time on Perceptions of Decisions and Decision Makers in (Moral) Trade-Off Scenarios

2019 ◽  
Author(s):  
Anna Katharina Spälti ◽  
Mark John Brandt ◽  
Marcel Zeelenberg
Keyword(s):  
Decision Process ◽  
Decision Time ◽  
Decision Makers ◽  
Process Information ◽  
Total N ◽  
Trade Off ◽  
Financial Gain ◽  
Trade Offs ◽  
Sacred Values ◽  
Moral Context

People often have to make trade-offs. We study three types of trade-offs: 1) "secular trade-offs" where no moral or sacred values are at stake, 2) "taboo trade-offs" where sacred values are pitted against financial gain, and 3) "tragic trade-offs" where sacred values are pitted against other sacred values. Previous research (Critcher et al., 2011; Tetlock et al., 2000) demonstrated that tragic and taboo trade-offs are not only evaluated by their outcomes, but are also evaluated based on the time it took to make the choice. We investigate two outstanding questions: 1) whether the effect of decision time differs for evaluations of decisions compared to decision makers and 2) whether moral contexts are unique in their ability to influence character evaluations through decision process information. In two experiments (total N = 1434) we find that decision time affects character evaluations, but not evaluations of the decision itself. There were no significant differences between tragic trade-offs and secular trade-offs, suggesting that the decisions structure may be more important in evaluations than moral context. Additionally, the magnitude of the effect of decision time shows us that decision time, may be of less practical use than expected. We thus urge, to take a closer examination of the processes underlying decision time and its perception.

scholarly journals Probability elicitation using geostatistics in hydrocarbon exploration

2021 ◽  
Author(s):  
André Luís Morosov ◽  
Reidar Brumer Bratvold
Keyword(s):  
Value Creation ◽  
Decision Process ◽  
Conceptual Models ◽  
Joint Probability ◽  
Decision Makers ◽  
Hydrocarbon Exploration ◽  
Joint Probability Distribution ◽  
Proof Of Concept ◽  
Geological Information ◽  
Decision Supporting

AbstractThe exploratory phase of a hydrocarbon field is a period when decision-supporting information is scarce while the drilling stakes are high. Each new prospect drilled brings more knowledge about the area and might reveal reserves, hence choosing such prospect is essential for value creation. Drilling decisions must be made under uncertainty as the available geological information is limited and probability elicitation from geoscience experts is key in this process. This work proposes a novel use of geostatistics to help experts elicit geological probabilities more objectively, especially useful during the exploratory phase. The approach is simpler, more consistent with geologic knowledge, more comfortable for geoscientists to use and, more comprehensive for decision-makers to follow when compared to traditional methods. It is also flexible by working with any amount and type of information available. The workflow takes as input conceptual models describing the geology and uses geostatistics to generate spatial variability of geological properties in the vicinity of potential drilling prospects. The output is stochastic realizations which are processed into a joint probability distribution (JPD) containing all conditional probabilities of the process. Input models are interactively changed until the JPD satisfactory represents the expert’s beliefs. A 2D, yet realistic, implementation of the workflow is used as a proof of concept, demonstrating that even simple modeling might suffice for decision-making support. Derivative versions of the JPD are created and their effect on the decision process of selecting the drilling sequence is assessed. The findings from the method application suggest ways to define the input parameters by observing how they affect the JPD and the decision process.

scholarly journals Development of a Shipment Policy for Collection Centers

Mathematics ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1385
Author(s):  
Irais Mora-Ochomogo ◽  
Marco Serrato ◽  
Jaime Mora-Vargas ◽  
Raha Akhavan-Tabatabaei
Keyword(s):  
Climate Change ◽  
Natural Disasters ◽  
Markov Decision Process ◽  
Decision Process ◽  
Necessary Conditions ◽  
Decision Makers ◽  
Humanitarian Organizations ◽  
The World ◽  
Markov Decision ◽  
Unsatisfied Demand

Natural disasters represent a latent threat for every country in the world. Due to climate change and other factors, statistics show that they continue to be on the rise. This situation presents a challenge for the communities and the humanitarian organizations to be better prepared and react faster to natural disasters. In some countries, in-kind donations represent a high percentage of the supply for the operations, which presents additional challenges. This research proposes a Markov Decision Process (MDP) model to resemble operations in collection centers, where in-kind donations are received, sorted, packed, and sent to the affected areas. The decision addressed is when to send a shipment considering the uncertainty of the donations’ supply and the demand, as well as the logistics costs and the penalty of unsatisfied demand. As a result of the MDP a Monotone Optimal Non-Decreasing Policy (MONDP) is proposed, which provides valuable insights for decision-makers within this field. Moreover, the necessary conditions to prove the existence of such MONDP are presented.

scholarly journals The Adoption of Robotic Process Automation Technology to Ensure Business Processes during the COVID-19 Pandemic

2021 ◽  
Vol 13 (14) ◽  
pp. 8020
Author(s):  
Julia Siderska
Keyword(s):  
Technology Implementation ◽  
Business Processes ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Decision Makers ◽  
Process Automation ◽  
Robotic Process Automation ◽  
Service Companies ◽  
Automation Technology ◽  
Practical Implications

The study provides knowledge on the adoption of the Robotic Process Automation (RPA) technology during the COVID-19 pandemic in 110 Polish service companies. As this research was the first of its kind in Poland, the objectives of the CAWI survey were to identify the technology features of the RPA technology and the related determinants and barriers influencing the adoption of the RPA as well as to determine correlations between them. Moreover, the statistical analyses involved considering whether there were differences in the evaluation of individual RPA technology features, mainly in terms of perceived usefulness, ease of use, security and functionality. The results of the study show that almost 60% of the respondents indicated that robotization tools allowed maintaining continuity of business processes during the pandemic. The highest rated were features related to usefulness of the RPA technology. Furthermore, the analysis pointed to the most frequently indicated barriers to technology implementation that were related to nonoptimized, nonstandardized and non-digitized processes with a large number of exceptions. The study contributes to scientific knowledge and has practical implications for process automation decision-makers concerned with the adoption of the Robotic Process Automation technology. The obtained results can help them to understand the potential drivers of and barriers to the adoption of software robots by enterprises and may be an important determinant for companies’ managers in the field of implementing such solutions.

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