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Journal articles on the topic 'Decision-making – Methodology'

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Published: 4 June 2021

Last updated: 1 February 2022

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1

Brezillon, Patrick, Juliette Brezillon, and Jean-Charles Pomerol. "Context-Based Methodology for Decision Making." International Journal of Decision Support System Technology 1, no. 3 (July 2009): 1–20. http://dx.doi.org/10.4018/jdsst.2009070101.

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Сморгунов, Леонид, and Александр Павроз. "Political Decision Making: Theory and Methodology." Полис. Политические исследования, no. 4 (2005): 179–83. http://dx.doi.org/10.17976/jpps/2005.04.14.

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Vinaja, Roberto. "Information Technology Investment: Decision-Making Methodology." Journal of Global Information Technology Management 8, no. 3 (July 2005): 1. http://dx.doi.org/10.1080/1097198x.2005.10856404.

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Frankovsky, Miroslav, Zuzana Birknerova, Lucia Zbihlejova, and Ladislav Suhanyi. "Measuring Managerial Decision-Making: The DMQ Methodology." Journal of Corporate Governance Research 1, no. 1 (November 27, 2017): 27. http://dx.doi.org/10.5296/jcgr.v1i1.12198.

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Decision-making plays an important role in management as managers´ decisions have a multiplicative impact in various areas of organization. However, managerial decision-making is influenced by a number of personality and situational factors. The contribution thus presents the results of verification of a new, original methodology Decision-Making Questionnaire (DMQ), proposed on the basis of the Vroom-Yetton model of decision-making (Fotr et al. 2006). From the methodological viewpoint, DMQ is based on the dispositional, trans-situational approach to studying personality traits. The factor analysis enabled extraction of four factors explaining 47% of variance. These factors represent four decision-making styles defined by two dimensions (own information – acquired information, I make my own decisions – I make collective decisions with others).

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Tillman, Anne-Marie. "Significance of decision-making for LCA methodology." Environmental Impact Assessment Review 20, no. 1 (February 2000): 113–23. http://dx.doi.org/10.1016/s0195-9255(99)00035-9.

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Shukla, Vikas, Guillaume Auriol, and Keith W. Hipel. "Multicriteria Decision-Making Methodology for Systems Engineering." IEEE Systems Journal 10, no. 1 (March 2016): 4–14. http://dx.doi.org/10.1109/jsyst.2014.2344635.

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Erde, Edmund L. "Decision making methodology in bioethics: An introduction." Theoretical Medicine 12, no. 4 (December 1991): 277–79. http://dx.doi.org/10.1007/bf00489888.

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Tamura, Leonardo Yuji. "THE MAKING OF DECISION MAKING." Administração: Ensino e Pesquisa 17, no. 1 (April 30, 2016): 177–99. http://dx.doi.org/10.13058/raep.2016.v17n1.416.

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Quantum Electronics was a Brazilian startup in the 1990's that was acquired by an American equity fund in 2012. They are currently the largest manufacturer of vehicle tracking and infotainment systems. The company was founded by three college friends, who are currently executives at the company: Camilo Santos, Pedro Barbosa and Luana Correa. Edward Hutter was sent by the equity fund to take over the company’s finances, but is having trouble making organizational decisions with his colleagues. As a consultant, I was called to help them improve their decision making process and project prioritization. I adapted and deployed our firm's methodology, but, in the end, its adequacy is shown to be very much in question. The author of this case study intends to explore how actual organizational decisions rely on different decision models and their assumptions, .as well as demonstrate that a decision model is neither absolutely good nor bad as its quality is context dependent.

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Vlasova, Tatiana Ivanovna. "IMPLEMENTATION OF DECISION MAKING METHODOLOGY IN PROJECT MANAGEMENT." Bulletin of the Moscow State Regional University (Economy), no. 4 (2016): 62–69. http://dx.doi.org/10.18384/2310-6646-2016-4-62-69.

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Poh Ai Ling, Amy, Mohamad Nasir Saludin, and Masao Mukaidono. "Deriving consensus rankings via multicriteria decision making methodology." Business Strategy Series 13, no. 1 (January 6, 2012): 3–12. http://dx.doi.org/10.1108/17515631211194571.

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Munisankaraiah, Dr S., Mr A. Arun Kumar, Mr G. Ravi kumar, and Dr D. K. Pandey. "Multiple Criteria Decision Making Methodology for Network security." International Journal of Computer Trends and Technology 8, no. 1 (February 25, 2014): 17–24. http://dx.doi.org/10.14445/22312803/ijctt-v8p104.

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SPROTLES, GEORGE B., and ELIZABETH L. KENDALL. "A Methodology for Profiling Consumers' Decision-Making Styles." Journal of Consumer Affairs 20, no. 2 (December 1986): 267–79. http://dx.doi.org/10.1111/j.1745-6606.1986.tb00382.x.

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Cheng, Tiejun. "A Dynamic Decision Making Methodology for Emergency Response." Journal of Information and Computational Science 11, no. 8 (May 20, 2014): 2655–62. http://dx.doi.org/10.12733/jics20102830.

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Nikulin, Christopher, Paulina Solis, and Mónica López-Campos. "A Methodology to Improve the Decision-Making Process." International Journal of Knowledge and Systems Science 9, no. 1 (January 2018): 59–81. http://dx.doi.org/10.4018/ijkss.2018010104.

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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 reality is not a simple task; it is not trivial to choose an analysis approach since most of decision-makers could have partial lacks information during the different stages of the modeling process. Considering this, we propose a methodology to support the decision-making process by using a novel structured integration of different quantitative and qualitative tools, such as system dynamics, decision theory and the theory of inventive problem solving (TRIZ), in order to simplify the modeling process in complex analysis. A case study attempts to illustrate the application of the methodology in a real problem situation, related to the analysis of disasters within the boundaries of Valparaíso City, specifically fires.

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Roulac, Stephen, Alastair Adair, Stanley McGreal, Jim Berry, Louise Brown, and George Heaney. "Corporate strategic decision making." Journal of Property Investment & Finance 23, no. 4 (August 1, 2005): 364–78. http://dx.doi.org/10.1108/14635780510602426.

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PurposeSeeks to explore recent studies in corporate real estate and to provide a comparative analysis of industrial corporations in Ireland and those in the non‐industrial sector with respect to their corporate real estate management objectives.Design/methodology/approachThe empirical investigation reports on a study undertaken in Ireland and compares results from companies in the industrial sector with companies in the non‐industrial sector. The methodology is based on a behavioural questionnaire targeted at the top 150 companies operating in Ireland and classified on the basis of number of employees.FindingsThe findings indicate that significant differences are apparent between companies in the industrial sector and companies not in the industrial sector in the use of real estate assets. In particular companies in the industrial/manufacturing sectors have weakly developed corporate real estate strategies.Research limitations/implicationsThe main limitations derive from a relatively small sample size, a function of targeting the survey at senior executives. There are implications for companies in the under‐utilisation of real estate assets and the effects of this on corporate balance‐sheets requires further investigation.Originality/valueHighlights that companies in Ireland, notably those in the industrial sector, have some significant way to go in utilising their corporate real estate assets more effectively.

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Agrawal, Deepak. "Analytics based decision making." Journal of Indian Business Research 6, no. 4 (November 11, 2014): 332–40. http://dx.doi.org/10.1108/jibr-09-2014-0062.

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Purpose – This paper aims to trace the history, application areas and users of Classical Analytics and Big Data Analytics. Design/methodology/approach – The paper discusses different types of Classical and Big Data Analytical techniques and application areas from the early days to present day. Findings – Businesses can benefit from a deeper understanding of Classical and Big Data Analytics to make better and more informed decisions. Originality/value – This is a historical perspective from the early days of analytics to present day use of analytics.

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Johnson, Jennie, and Tom Coyle. "Toward Understanding Ethical Decision Making." International Journal of Strategic Decision Sciences 1, no. 4 (October 2010): 25–43. http://dx.doi.org/10.4018/jsds.2010100102.

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This paper proposes a step-wise methodology for the development of a scale measuring intent-to-act ethically, which is a step forward in the ethical decision-making process. To test the robustness of the methodology, data from two different populations gathered from 75 students and 181 professionals were examined to ensure reliability in ethical workplace scenarios. This research is relevant to recent issues like the current economic crisis lead by the sub-prime banking failures. The failures of Enron and Tyco are extreme examples of failure of societal members to act ethically. The construction of scale-measuring items was based on a theory of intent, and issues identified from the human resource management literature related to reasons employees do not report perceived unethical behavior in the workplace. Tested for social desirability bias, the results show that the proposed scale offers an improved reliability for assessing behavioral intent related to ethical decision-making. With these findings, this paper provides a tool for research that relies on a measure of ethical intent as a proxy for ethical behavior.

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Virdi, Preeti, Arti D. Kalro, and Dinesh Sharma. "Online decision aids: the role of decision-making styles and decision-making stages." International Journal of Retail & Distribution Management 48, no. 6 (April 24, 2020): 555–74. http://dx.doi.org/10.1108/ijrdm-02-2019-0068.

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PurposeDecision aids (DAs) in online retail stores ease consumers' information processing. However, online consumers do not use all decision aids in purchase decision-making. While the literature has documented the effects of individual decision aids or two decision aids at a time, no study has compared the efficacy of multiple decision aids simultaneously. Also, very few studies have looked at the use of decision aids for consumers with maximizing and satisficing tendencies. Hence, this study aims to understand the preferences of maximizers and satisficers towards online decision aids during the choice-making process.Design/methodology/approachThis is an observational study with 60 individuals who were asked to purchase either a search-based or an experience-based product online. Participants' browsing actions and verbalizations during online shopping, were recorded and analysed using NVivo, and later the use of decision aids was mapped along their choice process.FindingsConsumer's preference of decision aids varies across the two stages of the choice process (that is, consideration set formation and evaluation & choice). In their choice formation, maximizers use different decision aids in both stages, that is, filter tool and in-website search tool for search products, and collaborative filtering-based recommender systems and eWOM for experience products. Satisficers used more decision aids as compared to maximizers across the two stages for both product types.Originality/valueThis study is an exploratory attempt to understand how consumers use multiple decision aids present on e-commerce websites.

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Jenab, Kouroush, and Ahmad Sarfaraz. "Selecting Cell Phone Service Using Hybrid Decision Making Methodology." International Journal of Enterprise Information Systems 9, no. 1 (January 2013): 49–61. http://dx.doi.org/10.4018/jeis.2013010103.

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In an ever expanding connected world, mobile connectivity is essential in both commercial and private use. Selecting the best option has become increasingly difficult due to the many factors surrounding the selection of the best cell phone service providing company. Quantitative factors such as monthly price, total cell phone minutes, and phone cost are easily comparable. However, other qualitative factors such as signal coverage, vendor reputation, and customer support are not as easily analyzed. The need to make the correct decision when qualitative factors need to be considered has caused multi-criteria decision methodologies such as Analytical Hierarchy Process (AHP) to be applied in case studies. In this paper, the authors apply Fuzzy AHP to phone survey results and compare them to the original results. The multi-criteria decision methodology TOPSIS is used to demonstrate the differences between all decision methodologies.

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20

Marimin. "「Linguistic Labels Based Methodology for Fuzzy Group Decision Making」." Journal of Japan Society for Fuzzy Theory and Systems 10, no. 1 (1998): 74. http://dx.doi.org/10.3156/jfuzzy.10.1_74_1.

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21

Li, Zongzhi, and Kumares C. Sinha. "Methodology for Multicriteria Decision Making in Highway Asset Management." Transportation Research Record: Journal of the Transportation Research Board 1885, no. 1 (January 2004): 79–87. http://dx.doi.org/10.3141/1885-12.

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22

Chen, Xiao Jun, Jing Zhang, and Jun Huai Li. "A Decision Making Methodology to Divide Virtualized Resources Morphologies." Advanced Materials Research 228-229 (April 2011): 10–16. http://dx.doi.org/10.4028/www.scientific.net/amr.228-229.10.

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The resources are divided into curable and non-curable morphologies to improve the efficiency of virtual computing systems, and we determine the quantities of such two morphologies based on resources required and resources that system owes. In the environment of tasks presenting random distribution, we describe the trend of resources required and compute the range interval of curable morphology by theoretical analysis. It is concluded that the amounts of tasks have great effect on resources required and the experiments show that the trend of decision variables in our numerical example is consistent with the theory discussed. The decision making methodology presented in this paper has some significance to the management of resources in virtual computing systems.

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23

Lu, Jie, Zheng Yan, Jialin Han, and Guangquan Zhang. "Data-Driven Decision-Making (D3M): Framework, Methodology, and Directions." IEEE Transactions on Emerging Topics in Computational Intelligence 3, no. 4 (August 2019): 286–96. http://dx.doi.org/10.1109/tetci.2019.2915813.

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24

Brock, William J., Joseph V. Rodricks, Alan Rulis, Vicki L. Dellarco, George M. Gray, and Richard W. Lane. "Food Safety: Risk Assessment Methodology and Decision-Making Criteria." International Journal of Toxicology 22, no. 6 (November 2003): 435–51. http://dx.doi.org/10.1177/109158180302200605.

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As our scientific technology grows, risk assessment methods become more complex and, therefore, open to greater scientific debate. Risk assessment has always been a part of the regulatory notification and approval process for foods. However, the methodologies applied to risk assessment and decision-making have become diverse, dependent on a number of features, including the areas of the world in which one operates, the need to use cumulative risk assessment for pesticides and otheringredients or alternative risk assessment considerations for evaluating nontraditional or bioengineered foods. Diverse institutional structures within a single federal regulatory authority may tend to lead to diversity in risk outcomes that creates policy decisions that complicate and confuse the risk management process. On top of this challenge, decisions become more complicated by the need to examine beneficial factors of foods rather than the adverse effects of foods and food additives. Foods are a complex mixture ofingredients. Regulatory groups recognize the need to use new approaches for evaluating the safety and risks associated with foods and food additives, and to do so in a timely manner. The United States Food and Drug Administration (US FDA) in its need to ensure standards of “reasonable certainty of no harm” continues to explore alternative means to be responsive to petitioners as well as continue to examine scientifically validated means, e.g., quantitative structure-activity relationship (QSAR), and computer-assisted programs, within the approval process to assist in the evaluation of risks. Another means to improve the risk management process would include the cumulative risk assessment of pesticides that will, no doubt, be the beginning of more intensive efforts to understand cumulative exposures and the inherent risks from multiple pathways of exposure. The passage of the Food Quality Protection Act (FQPA) resulted in developing additional risk assessment methodologies and approaches to assess the potential for multiple exposures and risks. Addressing the international criteria used in decision-making related to foods safety assessment has resulted in acceptable intake values for foodingredients for carcinogens and noncarcinogens that, in general, tend to be more stringent in the United States compared to Europe. Clearly, the need for harmonization of risk assessment criteria and the impact of the decision process on regulatory approvals and safety assessment is a future need for the continued assurances of food safety. The topics presented in this paper are based on a symposium held in November 2002 at the annual meeting of the American College of Toxicology.

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Kobayashi, Hideki, and Toshimitsu Kumazawa. "A decision-making methodology for transition to reuse business." International Journal of Environmental Technology and Management 7, no. 5/6 (2007): 578. http://dx.doi.org/10.1504/ijetm.2007.015631.

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Yazdi, Mohammad, Faisal Khan, Rouzbeh Abbassi, and Risza Rusli. "Improved DEMATEL methodology for effective safety management decision-making." Safety Science 127 (July 2020): 104705. http://dx.doi.org/10.1016/j.ssci.2020.104705.

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27

Sperandio, Severine, and Philippe Girard. "Decision-making framework methodology: risk assessment in strategic management." International Journal of Management and Decision Making 11, no. 1 (2010): 4. http://dx.doi.org/10.1504/ijmdm.2010.033640.

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Sinuany-Stern, Z., A. Mehrez, and Y. Hadad. "An AHP/DEA methodology for ranking decision making units." International Transactions in Operational Research 7, no. 2 (March 2000): 109–24. http://dx.doi.org/10.1111/j.1475-3995.2000.tb00189.x.

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Chen, Tung-Tsan, and Tsung-Chiang Wu. "Construction project partnering using fuzzy based decision making methodology." Journal of the Chinese Institute of Engineers 35, no. 3 (April 2012): 269–84. http://dx.doi.org/10.1080/02533839.2012.655462.

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Raut, Rakesh D., Harsh V. Bhasin, and Sachin S. Kamble. "Supplier selection using integrated multi-criteria decision-making methodology." International Journal of Operational Research 13, no. 4 (2012): 359. http://dx.doi.org/10.1504/ijor.2012.046223.

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Araz, Ceyhun, Pinar Mizrak Ozfirat, and Irem Ozkarahan. "An integrated multicriteria decision-making methodology for outsourcing management." Computers & Operations Research 34, no. 12 (December 2007): 3738–56. http://dx.doi.org/10.1016/j.cor.2006.01.014.

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32

Jalao, Eugene Rex, Teresa Wu, and Dan Shunk. "A stochastic AHP decision making methodology for imprecise preferences." Information Sciences 270 (June 2014): 192–203. http://dx.doi.org/10.1016/j.ins.2014.02.077.

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Erde, Edmund L. "Decision making methodology in bioethics: An introduction (Part II)." Theoretical Medicine 15, no. 1 (March 1994): 1–4. http://dx.doi.org/10.1007/bf00999215.

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Kushner, Thomasine, Raymond A. Belliotti, and Donald Buckner. "Toward a methodology for moral decision making in medicine." Theoretical Medicine 12, no. 4 (December 1991): 281–93. http://dx.doi.org/10.1007/bf00489889.

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Reitsma, Jelmer P., M. M. (René) van Paassen, and Max Mulder. "Methodology Comparison for Designing a Decision-making Support System." IFAC-PapersOnLine 52, no. 19 (2019): 157–62. http://dx.doi.org/10.1016/j.ifacol.2019.12.167.

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Piet, Gerjan J., Antony M. Knights, Ruud H. Jongbloed, Jacqueline E. Tamis, Pepijn de Vries, and Leonie A. Robinson. "Ecological risk assessments to guide decision-making: Methodology matters." Environmental Science & Policy 68 (February 2017): 1–9. http://dx.doi.org/10.1016/j.envsci.2016.11.009.

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37

Tudorache, Paul. "Applicability of Artificial Intelligence in Decision-Making for Land Forces." Vojenské rozhledy 30, no. 2 (June 8, 2021): 039–54. http://dx.doi.org/10.3849/2336-2995.30.2021.02.039-054.

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Similar to other fields, also in the military one, the Artificial Intelligence has become recently an evident solution for optimizing specific processes and activities. Therefore, this research paper aims to highlight the potential uses of Artificial Intelligence in the military operations carried out by the Land Forces. In this regard, analysing the framework of the operations process and applying suitable research methodology, the main findings are related to AI’s contributions in optimizing commander’s decisions during the progress of planning and execution. On the other hand, picturing the AI upgrated combat power of the Land Forces is another significant result of this study.

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Bradley, Brendon A., Rajesh P. Dhakal, Misko Cubrinovski, Gregory A. MacRae, and Dominic S. Lee. "Seismic loss estimation for efficient decision making." Bulletin of the New Zealand Society for Earthquake Engineering 42, no. 2 (June 30, 2009): 96–110. http://dx.doi.org/10.5459/bnzsee.42.2.96-110.

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In order to incorporate seismic risk of facilities into a decision making framework, procedures are needed to quantify such risk for stakeholders. Seismic loss estimation methods combine seismic hazard, structural response, damage fragility, and damage consequences to allow quantification of seismic risk. This paper presents a loss estimation methodology which provides various measures of seismic risk for a specific facility. The methodology is component-based and can therefore distinguish between different structural configurations or different facility contents and is consistent with state-of-the-art loss assessment procedures. Loss is measured in the forms of direct structural and non-structural repair costs, and although not considered in the example, business disruption and occupant injuries can also be considered. This framework has been packaged in a computer code available for future dissemination in the public domain so that users need only to have a basic understanding of the methodology and the input data that is required. Discussion is given to the flexibility of the framework in terms of the rigour which can be employed at each of the main steps in the procedure. Via a case study of a high-rise office building, the use of the methodology in decision-making is illustrated. Methodological requirements and further research directions are discussed.

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Kryvonohova, Iryna, and Yulia Brovkina. "Innovative manufacturing planning based on integrated methodology of rational alternative selection." Economics. Ecology. Socium 5, no. 2 (June 30, 2021): 30–39. http://dx.doi.org/10.31520/2616-7107/2021.5.2-4.

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Introduction. Innovation is one of the major factors of economic growth in modern economy on the macrolevel, and a prominent contributor to an enterprise's profit increase at microlevel. Nevertheless, innovation activity is accompanied by a high level of risk and may cause significant losses. Thus, the problem of limiting the risk by developing rational methods of decision making is relevant. Aim and tasks. The article aims at development of integrated methodology for taking a decision as to selection of rational innovative production alternative based on the usage of a group of decision making methods in dependency on conditions under which the decision is being taken. Results. The article analyses decision making process in the context of system approach and defines stages of decision making. Criteria of effective decision are described and classified. Methods of decision making are observed and classified according to the conditions of decision making. The necessary components of integrated methodology of selection of rational innovative production alternative are defined. The formation principles and general structure of the integrated methodology of selection of rational innovative production alternative are described. Conclusions. The task of decision effectiveness assessment is complicated by simultaneous existence of number of performance goals with different suitability for formal evaluation, negative correlation between speed and accuracy of decision making, and temporal distance between decision making process and goal achievement, which requires employment of discounting methods. The above-mentioned factors determine the necessity for an integrated criterion, which includes economic efficiency indicators but is not reduced to them. Thus, integrated methodology of selection of rational innovative production alternative consists of multicriteria decision making solution, assessment of sufficient range of alternatives, allowance for uncertainty as to input information about criteria, inclusion of different types of criteria measurement, provision of possibility to use alternative information at all stages of decision making process.

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Parayitam, Satyanarayana, and Chris Papenhausen. "Strategic decision-making." Management Research Review 41, no. 1 (January 15, 2018): 2–28. http://dx.doi.org/10.1108/mrr-12-2016-0285.

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Purpose This paper aims to investigate the effect of cooperative conflict management on agreement-seeking behavior, agreement-seeking behavior on decision outcomes, moderating role of competence-based trust on the relationship between agreement-seeking behavior and decision outcomes, and mediating role of agreement-seeking behavior between cooperative conflict management and decision outcomes. Design/methodology/approach Using a structured survey instrument, this paper gathered data from 348 students enrolled in a strategic management capstone course that features strategic decision-making in a simulated business strategy game. The data from 94 teams were collected from the student population using a carefully administered instrument. The data were aggregated after running the inter-rater agreement test and the analyzed to test the hypotheses. Findings The results from the hierarchical regression of the complex moderated mediation model reveal that cooperative conflict management is positively related to agreement-seeking behavior, and agreement-seeking behavior mediates the relationship between cooperative conflict management and decision outcomes. The results also suggest that competence-based trust acts as a moderator in the relationship between agreement-seeking behavior and decision quality; agreement-seeking behavior and team effectiveness, and agreement-seeking behavior and decision commitment. Results also support mediation of agreement-seeking behavior between cooperative conflict management and decision outcomes. Research limitations/implications The present research is based on self-report measures, and hence, the limitations of social desirability bias and common method bias are inherent. However, adequate care is taken to minimize these limitations. The research has implications for the strategic decision-making process literature. Practical implications In addition to the strategic management literature, this study contributes to practicing managers. The study suggests that competence-based trust plays a vital role in decision effectiveness. Administrators need to select the members in the decision-making process who have competence-based trust on one another and engage in agreement-seeking behavior. Social implications The findings from the study help in creating a fruitful social environment in organizations. Originality/value This study provides new insights about the previously unknown effects of cooperative conflict management and agreement-seeking behavior in strategic decision-making process.

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41

Hadelan, Lari. "Investment analysis of plum brandy production – methodology approach." Applied Studies in Agribusiness and Commerce 2, no. 1-2 (October 31, 2008): 103–5. http://dx.doi.org/10.19041/apstract/2008/1-2/15.

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The major prerequisite of successful entrepreneurship venture is quality of decision-making process. Decision in investment is the most important financial decision. It is a part of both long-term business planning process and strategic business definition. Using available investment appraisal methods, entrepreneur should make positive or negative investment decision. Within the development of the economic theory and the practice many of methods made decision-making process rational and gave the scientific and practical base for successful project evaluation.

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42

Deng, Jiang, Jianming Zhan, and Wei-Zhi Wu. "A three-way decision methodology to multi-attribute decision-making in multi-scale decision information systems." Information Sciences 568 (August 2021): 175–98. http://dx.doi.org/10.1016/j.ins.2021.03.058.

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43

Castaneda, Roberto, Pilar Arroyo, and Lourdes Loza. "Assessing Countries Sustainability: A Group Multicriteria Decision Making Methodology Approach." Journal of Management and Sustainability 10, no. 1 (May 26, 2020): 174. http://dx.doi.org/10.5539/jms.v10n1p174.

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Sustainability is a complex and abstract concept. However, policy-makers and representatives of global and regional associations need to assess and track the sustainable development of countries and regions to define a sustainability strategic path. The objective of this research is to propose and validate a methodology to define a simple but proper sustainability index that serves as a proxy for the identification of the segments of most and least advanced countries according to their achievement of the sustainable development goals defined by the United Nations (UN). Several well-known quantitative methodologies are used to first define a summarized index of sustainable development. Second, multicriteria decision-making methods are applied to determine the relative importance of the elements or dimensions comprising the sustainability concept. Then, the simulated judgments of a group of experts is used to compute a group weight vector by applying the Fuzzy Analytic Hierarchy Process (FAPH). Different aggregation methods are used to compute the importance that decision-makers assign to the several dimensions of sustainability. Finally, segments of countries generated with the clustering algorithm k-means are rated to identify sustainability benchmark segment(s) and groups of countries in need of support to attain the UN sustainability goals.

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44

Khorolskyi, Valentyn, Liudmyla Rybalko, Ganna Purij, and Olena Khorolska. "Methodology foundations of decision-making concerning balanced management of manufacturing." Economic Annals-ХХI 160, no. 7-8 (October 2016): 45–50. http://dx.doi.org/10.21003/ea.v160-09.

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Frankovsky, Miroslav, and Zuzana Birknerova. "Predictors of cognitive distortions in managerial decision-making: PCD18 methodology." Economic Annals-ХХI 162, no. 11-12 (February 2017): 93–97. http://dx.doi.org/10.21003/ea.v162-19.

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Masdías-Bonome, Antonio E., José A. Orosa, and Diego Vergara. "A New Methodology for Decision-Making in Buildings Energy Optimization." Applied Sciences 10, no. 13 (June 30, 2020): 4558. http://dx.doi.org/10.3390/app10134558.

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When designing or retrofitting a building, not too many tools let architects and engineers to define the optimal conditions to reduce energy consumption with the minimal economic investment. This is because different software resources must be employed and an iterative calculation must be done which, most of times, is not possible. The present study aims to define an original methodology that let researchers and architects to select the best option between different possibilities. To reach this objective, Monte Carlo method is employed on the ISO 13790 standard reaching the probability distribution of the energy consumption of each building after each possible modification. From main results, two mathematical models were obtained from a real case study showing the relation between annual energy consumption and economic investment of each different building retrofits. What is more, in disagreement with the expected result, the best retrofit option was not the one with the highest cost and qualities. In conclusion, this methodology can be a useful tool for researchers and professionals to improve their decision-making.

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Fu Pingping, Wu Chong, and Tang Jie. "Unconventional Emergency Management Based on Intelligent Group Decision-making Methodology." INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences 4, no. 7 (April 30, 2012): 208–16. http://dx.doi.org/10.4156/aiss.vol4.issue7.24.

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Kazibudzki, Pawel Tadeusz, and Andrzej Z. Grzybowski. "On Some Advancements within Certain Multicriteria Decision Making Support Methodology." American Journal of Business and Management 2, no. 2 (May 30, 2013): 143. http://dx.doi.org/10.11634/216796061706281.

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Deriving true priority vectors from intuitive pairwise comparison matrices (PCMs) and consistency measurement of decision makers judgments about their genuine weights are crucial issues within the multicriteria decision making support methodology called Analytic Hierarchy Process (AHP). The most popular procedure in the ranking process, constitutes the Right Eigenvector Method (REV). The inventor of the AHP convinces that as long as inconsistent PCMs are allowed in the AHP none of the other existing procedures qualify and the REV provides the only right solution in this process. The objective of this scientific paper is to examine if the former opinion can be considered as experimentally confirmed. For this purpose it was decided to apply Monte Carlo methodology. However, rather than simulate and analyze simulations results for a single PCM, as it has been done so far by many other authors, we decided to design and analyze computer simulations results for a singular model of the AHP framework. Our findings lead to inevitable conclusion that the REV cannot longer be perceived as a dominant procedure within the AHP methodology, especially when nonreciprocal PCMs are considered. It was verified empirically in our research that in the situation when nonreciprocal PCMs are considered the REV impoverishes the entire AHP methodology by its lack of PCMs inconsistency measure in such cases. Moreover, it provides less accurate rankings for a particular decision in comparison to other presented methods. It was also unequivocally verified that the enforced reciprocity of PCM leads directly to worse estimates of priorities weights. Altogether, it seems very important from the perspective of methodology supporting multicriteria decision making, the crucial process embedded in most of management activity. In the consequence, because the REV recedes other prioritization procedures available for the AHP methodology, it is advised to consider them instead, especially under some circumstances of an important and very tight managerial decisions.

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Sedgley, Margaret. "The methodology of plant genetic manipulation: Criteria for decision making." Scientia Horticulturae 68, no. 1-4 (March 1997): 250–52. http://dx.doi.org/10.1016/s0304-4238(96)00959-4.

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Özemre, Murat, and Ozgur Kabadurmus. "A big data analytics based methodology for strategic decision making." Journal of Enterprise Information Management 33, no. 6 (May 26, 2020): 1467–90. http://dx.doi.org/10.1108/jeim-08-2019-0222.

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PurposeThe purpose of this paper is to present a novel framework for strategic decision making using Big Data Analytics (BDA) methodology.Design/methodology/approachIn this study, two different machine learning algorithms, Random Forest (RF) and Artificial Neural Networks (ANN) are employed to forecast export volumes using an extensive amount of open trade data. The forecasted values are included in the Boston Consulting Group (BCG) Matrix to conduct strategic market analysis.FindingsThe proposed methodology is validated using a hypothetical case study of a Chinese company exporting refrigerators and freezers. The results show that the proposed methodology makes accurate trade forecasts and helps to conduct strategic market analysis effectively. Also, the RF performs better than the ANN in terms of forecast accuracy.Research limitations/implicationsThis study presents only one case study to test the proposed methodology. In future studies, the validity of the proposed method can be further generalized in different product groups and countries.Practical implicationsIn today’s highly competitive business environment, an effective strategic market analysis requires importers or exporters to make better predictions and strategic decisions. Using the proposed BDA based methodology, companies can effectively identify new business opportunities and adjust their strategic decisions accordingly.Originality/valueThis is the first study to present a holistic methodology for strategic market analysis using BDA. The proposed methodology accurately forecasts international trade volumes and facilitates the strategic decision-making process by providing future insights into global markets.

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