scholarly journals Quality Assurance in Knowledge Data Warehouse

2017 ◽  
Author(s):  
Andysah Putera Utama Siahaan
Keyword(s):  
Decision Making ◽  
Knowledge Discovery ◽  
Data Warehouse ◽  
Noisy Data ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Quality Of Information ◽  
External Data ◽  
Existing Data

Knowledge discovery is the process of adding knowledge from a large amount of data. The quality of knowledge generated from the process of knowledge discovery greatly affects the results of the decisions obtained. Existing data must be qualified and tested to ensure knowledge discovery processes can produce knowledge or information that is useful and feasible. It deals with strategic decision-making for an organization. Combining multiple operational databases and external data create the data warehouse. This treatment is very vulnerable to incomplete, inconsistent, and noisy data. Data mining provides a mechanism to clear this deficiency before finally stored in the data warehouse. This research tries to give technique to improve the quality of information in the data warehouse.

Analysis and Intuition in Strategic Decision Making

2011 ◽  
pp. 1531-1542
Author(s):  
Zita Zoltay Paprika
Keyword(s):  
Decision Making ◽  
Decision Makers ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Decision Making Process ◽  
Strategic Decisions ◽  
Managerial Skills ◽  
Research Scholarship ◽  
Empirical Tests

Many management scholars believe that the process used to make strategic decisions affects the quality of those decisions. However, several authors have observed a lack of research on the strategic decision-making process. Empirical tests of factors that have been hypothesized to affect the way strategic decisions are made are notably absent (Fredrickson, 1985). This article reports the results of a study that attempts to assess the effects of decision-making circumstances, focusing mainly on the approaches applied and the managerial skills and capabilities the decision makers built on during concrete strategic decisionmaking procedures. The study was conducted in California between September 2005 and June 2006 and it was sponsored by a Fulbright research scholarship grant.

The role of heuristic-driven biases in entrepreneurial strategic decision-making: evidence from an emerging economy

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maqsood Ahmad ◽  
Syed Zulfiqar Ali Shah ◽  
Yasar Abbass
Keyword(s):  
Decision Making ◽  
Emerging Economy ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Decision Making Process ◽  
Strategic Decisions ◽  
Content Type ◽  
The Relationship

PurposeThis article aims to clarify the mechanism by which heuristic-driven biases influence the entrepreneurial strategic decision-making in an emerging economy.Design/methodology/approachEntrepreneurs' heuristic-driven biases have been measured using a questionnaire, comprising numerous items, including indicators of entrepreneurial strategic decision-making. To examine the relationship between heuristic-driven biases and entrepreneurial strategic decision-making process, a 5-point Likert scale questionnaire has been used to collect data from the sample of 169 entrepreneurs who operate in small- and medium-sized enterprises (SMEs). The collected data were analyzed using SPSS and Amos graphics software. Hypotheses were tested using structural equation modeling (SEM) technique.FindingsThe article provides empirical insights into the relationship between heuristic-driven biases and entrepreneurial strategic decision-making. The results suggest that heuristic-driven biases (anchoring and adjustment, representativeness, availability and overconfidence) have a markedly negative influence on the strategic decisions made by entrepreneurs in emerging markets. It means that heuristic-driven biases can impair the quality of the entrepreneurial strategic decision-making process.Practical implicationsThe article encourages entrepreneurs to avoid relying on cognitive heuristics or their feelings when making strategic decisions. It provides awareness and understanding of heuristic-driven biases in entrepreneurial strategic decisions, which could be very useful for business actors such as entrepreneurs, managers and entire organizations. Understanding regarding the role of heuristic-driven biases in entrepreneurial strategic decisions may help entrepreneurs to improve the quality of their decision-making. They can improve the quality of their decision-making by recognizing their behavioral biases and errors of judgment, to which we are all prone, resulting in a more appropriate selection of entrepreneurial opportunities.Originality/valueThe current study is the first to focus on links between heuristic-driven bias and the entrepreneurial strategic decision-making in Pakistan—an emerging economy. This article enhanced the understanding of the role that heuristic-driven bias plays in the entrepreneurial strategic decisions and more importantly, it went some way toward enhancing understanding of behavioral aspects and their influence on entrepreneurial strategic decision-making in an emerging market. It also adds to the literature in the area of entrepreneurial management specifically the role of heuristics in entrepreneurial strategic decision-making; this field is in its initial stage, even in developed countries, while, in developing countries, little work has been done.

scholarly journals Analysis and intuition in strategic decision making. The case of California

2007 ◽  
pp. 60-67
Author(s):  
Zita Zoltayné Paprika
Keyword(s):  
Decision Making ◽  
Decision Makers ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Decision Making Process ◽  
Strategic Decisions ◽  
Managerial Skills ◽  
Research Scholarship ◽  
Empirical Tests

Many management scholars believe that the process used to make strategic decisions affects the quality of those decisions. However several authors have observed a lack of research on the strategic decision making process. Empirical tests of factors that have been hypothesized to affect the way strategic decisions are made notably are absent. (Fredrickson, 1985) This paper reports the results of a study that attempts to assess the effects of decision making circumstances focusing mainly on the approaches applied and the managerial skills and capabilities the decision makers built on during concrete strategic decision making procedures. The study was conducted in California between September 2005 and June 2006 and it was sponsored by a Fulbright Research Scholarship Grant.

scholarly journals CoVID-19 prediction for India from the existing data and SIR(D) model study

2020 ◽  
Author(s):  
Aditya Rajesh ◽  
Haidas Pai ◽  
Victor Roy ◽  
Subhasis Samanta ◽  
Sabyasachi Ghosh
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Strategic Decision ◽  
Time Dependent ◽  
Strategic Decision Making ◽  
Model Study ◽  
The World ◽  
The Future ◽  
D Model ◽  
Existing Data

CoVID-19 is spreading throughout the world at an alarming rate. So far it has spread over 200 countries in the whole world. Mathematical modelling of an epidemic like CoVID-19 is always useful for strategic decision making, especially it is very useful to gain some understanding of the future of the epidemic in densely populous countries like India. We use a simple yet effective mathematical model SIR(D) to predict the future of the epidemic in India by using the existing data. We also estimate the effect of lock-down/social isolation via a time-dependent coefficient of the model. The model study with realistic parameters set shows that the epidemic will be at its peak around the end of June or the first week of July with almost 108 Indians most likely being infected if the lock-down relaxed after May 3, 2020. However, the total number of infected population will become one-third of what predicted here if we consider that people only in the red zones (approximately one-third of India's population) are susceptible to the infection. Even in a very optimistic scenario we expect that at least the infected numbers of people will be of the order of 107.

Quality and Effectiveness of ERP Software

2020 ◽  
pp. 28-52
Author(s):  
Stephen Makau Mutua ◽  
Raphael Angulu
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Knowledge Discovery ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Data Repository ◽  
Quality Information ◽  
Erp System ◽  
Entry Points ◽  
Over Time

Over time, the adoption of ERP systems has been wide across many small, medium, and large organizations. An ERP system is supposed to inform the strategic decision making of the organization; therefore, the information drawn from the ERP system is as important as the data stored in it. Poor data quality affects the quality information in it. Data mining is used to discover trends and patterns of an organization. This chapter looks into the way of integrating these data mining into an ERP system. This is conceptualized in three crucial views namely the outer, inner, and the knowledge discovery view. The outer view comprises of the collection of various entry points, the inner view contains the data repository, and the knowledge discovery view offers the data mining component. Since the focus is data mining, the two strategies of supervised and unsupervised are discussed. The chapter then concludes by presenting the probable problems within which each of these two strategies (classification and clustering) can be put into place within the mining process of an ERP system.

Expanding Data Mining Power with System Dynamics

2008 ◽  
pp. 2688-2696
Author(s):  
Edilberto Casado
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Pattern Recognition ◽  
System Dynamics ◽  
Knowledge Discovery ◽  
Strategic Decision ◽  
Knowledge Discovery In Databases ◽  
Strategic Decision Making ◽  
The World ◽  
Mathematical Techniques

Business intelligence (BI) is a key topic in business today, since it is focused on strategic decision making and on the search of value from business activities through empowering a “forward-thinking” view of the world. From this perspective, one of the most valuable concepts within BI is the “knowledge discovery in databases” or “data mining,” defined as “the process of discovering meaningful new correlations, patterns, and trends by sifting through large amounts of data stored in repositories, using pattern recognition technologies as well as statistical and mathematical techniques” (SPSS, 1997).

Analysis and Intuition in Strategic Decision Making

2011 ◽  
pp. 20-28 ◽  
Author(s):  
Zita Zoltay Paprika
Keyword(s):  
Decision Making ◽  
Decision Makers ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Strategic Decisions ◽  
Managerial Skills ◽  
Decisionmaking Process ◽  
Research Scholarship ◽  
Empirical Tests

Many management scholars believe that the process used to make strategic decisions affects the quality of those decisions. However, several authors have observed a lack of research on the strategic decisionmaking process. Empirical tests of factors that have been hypothesized to affect the way strategic decisions are made are notably absent (Fredrickson, 1985). This article reports the results of a study that attempts to assess the effects of decision-making circumstances, focusing mainly on the approaches applied and the managerial skills and capabilities the decision makers built on during concrete strategic decision-making procedures. The study was conducted in California between September 2005 and June 2006 and it was sponsored by a Fulbright research scholarship grant.

Expanding Data Mining Power with System Dynamics

2005 ◽  
pp. 1155-1161
Author(s):  
Edilberto Casado
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Pattern Recognition ◽  
System Dynamics ◽  
Knowledge Discovery ◽  
Strategic Decision ◽  
Knowledge Discovery In Databases ◽  
Strategic Decision Making ◽  
The World ◽  
Mathematical Techniques

Business intelligence (BI) is a key topic in business today, since it is focused on strategic decision making and on the search of value from business activities through empowering a “forward-thinking” view of the world. From this perspective, one of the most valuable concepts within BI is the “knowledge discovery in databases” or “data mining,” defined as “the process of discovering meaningful new correlations, patterns, and trends by sifting through large amounts of data stored in repositories, using pattern recognition technologies as well as statistical and mathematical techniques” (SPSS, 1997).

Social Media

2016 ◽  
pp. 94-111 ◽  
Author(s):  
Gordon Bowen ◽  
Deidre Bowen
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Strategic Decision ◽  
User Generated Content ◽  
Strategic Decision Making ◽  
Consumer Feedback ◽  
Conceptual Paper ◽  
Marketing Tool ◽  
Decision Making Tool

Social media is seen very much as a marketing tool and there is little in the literature that considers its use as a strategic decision making tool. This conceptual paper is an attempt to redress the balance. Social media user-generated content from blogs or consumer feedback are methods that social media can support effective strategic decision making. However, the business and organisational environments are influential on the effective of the data collected and ultimately its analysis. The decision making approach – single or multistage are significant influencers on the quality of the decisions. Multistage decision making is supportive of controversial decision making, which leads to better utilisation of the information and consequently, better decision making. Ultimately, robust decision making is underpinned by the effectiveness of the decision making process.

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