scholarly journals An approach for improving the quality of country-level TB modelling

2021 ◽  
Vol 25 (8) ◽  
pp. 614-619
Author(s):  
C. F. McQuaid ◽  
M. C. Clarkson ◽  
M. Bellerose ◽  
K. Floyd ◽  
R. G. White ◽  
...  
Keyword(s):  
Decision Making ◽  
Review Process ◽  
Strategic Decision ◽  
Country Level ◽  
Multi Stage ◽  
Independent Evaluation ◽  
Reporting Templates ◽  
Inform Decision Making ◽  
Review Criteria

Mathematical modelling is increasingly used to inform budgeting and strategic decision-making by national TB programmes. Despite the importance of these decisions, there is currently no mechanism to review and confirm the appropriateness of modelling analyses. We have developed a benchmarking, reporting, and review (BRR) approach and accompanying tools to allow constructive review of country-level TB modelling applications. This approach has been piloted in five modelling applications and the results of this study have been used to revise and finalise the approach. The BRR approach consists of 1) quantitative benchmarks against which model assumptions and results can be compared, 2) standardised reporting templates and review criteria, and 3) a multi-stage review process providing feedback to modellers during the application, as well as a summary evaluation after completion. During the pilot, use of the tools prompted important changes in the approaches taken to modelling. The pilot also identified issues beyond the scope of a review mechanism, such as a lack of empirical evidence and capacity constraints. This approach provides independent evaluation of the appropriateness of modelling decisions during the course of an application, allowing meaningful changes to be made before results are used to inform decision-making. The use of these tools can improve the quality and transparency of country-level TB modelling applications.

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 ARTIFICIAL NEURAL NETWORKS FOR PREDICTING THE GENERATION OF ACETALDEHYDE IN PET RESIN IN THE PROCESS OF INJECTION OF PLASTIC PACKAGES

2021 ◽  
Vol 9 (6) ◽  
pp. 97-119
Author(s):  
Mauro Reis Nascimento ◽  
David Barbosa de Alencar ◽  
Manoel Henrique Reis Nascimento ◽  
Carlos Alberto Monteiro
Keyword(s):  
Decision Making ◽  
Strategic Decision ◽  
Drying Temperature ◽  
Pet Bottles ◽  
Injection Process ◽  
Artificial Neural ◽  
Artificial Neural Network Ann ◽  
Method Analysis ◽  
Plastic Injection

The industrial production of preforms for the manufacture of PET bottles, during the plastic injection process, is essential to regulate the drying temperature of the PET resin, to control the generation of Acetaldehyde (ACH), which alters the flavor of carbonated or non-carbonated drinks, giving the drink a citrus flavor and putting in doubt the quality of packaged products. In this work, an Artificial Neural Network (ANN) of the Backpropagation type (Cascadeforwardnet) is specified to support the decision-making process in controlling the ideal drying temperature of the PET resin, allowing specialists to make the necessary temperature regulation decisions  for the best performance by decreasing ACH levels. The materials and methods were applied according to the manufacturer's characteristics on the moisture in the PET resin grain, which may contain between 50 ppm and 100 ppm of ACH. Data were collected for the method analysis, according to temperatures and residence times used in the blow injection process in the manufacture of the bottle preform, the generation of ACH from the PET bottle after solid post-condensation stage reached residual ACH levels below (3-4) ppm, according to the desired specification, reaching levels below 1 ppm. The results found through the Computational Intelligence (IC) techniques applied by the ANNs, where they allowed the prediction of the ACH levels generated in the plastic injection process of the bottle packaging preform, allowing an effective management of the parameters of production, assisting in strategic decision making regarding the use of temperature control during the drying process of PET resin.

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.

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.

scholarly journals Enabling Progress in Developing Economies: A Novel Hybrid Decision-Making Model for Green Technology Planning

2021 ◽  
Vol 14 (1) ◽  
pp. 258
Author(s):  
Muhammad Ikram ◽  
Robert Sroufe ◽  
Usama Awan ◽  
Nabila Abid
Keyword(s):  
Decision Making ◽  
Developing Economies ◽  
Implementation Process ◽  
Optimal Strategies ◽  
Green Technology ◽  
Strategic Decision ◽  
Technology Planning ◽  
Green Technologies ◽  
Agriculture Sector ◽  
Country Level

Green technologies play an essential role in designing and developing sustainable and environmental strategies at a country level. With a growing emphasis on green technology strategies in strategic decision making, there is an opportunity for developing and implementing strategies to accelerate green technologies in developing economies. Therefore, this study develops an integrated strategic framework based on Strengths, Weaknesses, Opportunities, and Threats (SWOT) for effective green technology planning. The SWOT approach scans internal and external factors and sub-factors essential for green technology planning in Pakistan. Subsequently, the Grey Analytical Hierarchical Process (GAHP) method is employed to compute weights of twenty-one subfactors. Finally, Grey Technique for Order Performance by Similarity to Ideal Solution (GTOPSIS) is used to prioritize eighteen strategies developed for sustainable green technology planning. Results reveal that high productivity potential in the agriculture sector, less foreign investment due to terrorism and security issues, decreasing the cost of green technologies, and the opportunity to build a positive image are key sub-factors for strategic green technology planning. In contrast, improving the security situation in the country to attract foreign direct investment, fewer taxes and duties on import of green technology and lenient rules for local business in transition, and plans and programs to promote green technology in the agriculture sector are observed as optimal strategies. This study is the first to propose a systematic, integrated framework for sustainable green technology planning in Pakistan. Our study fills a gap in the strategic planning and implementation process and provides pathways for policymakers in addressing impediments when implementing green technology planning.

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