Статті в журналах: "Decision effectiveness"

1

Leatherman, Sheila, and Louise Warrick. "Effectiveness of Decision Aids." Medical Care Research and Review 65, no. 6_suppl (December 2008): 79S—116S. http://dx.doi.org/10.1177/1077558708324234.

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Reagan, Patricia, and John Rohrbaugh. "Group Decision Process Effectiveness." Group & Organization Studies 15, no. 1 (March 1990): 20–43. http://dx.doi.org/10.1177/105960119001500103.

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Nagy, Viktor. "Evaluation of Decision Effectiveness Over Time." Economics and Culture 15, no. 2 (December 1, 2018): 34–42. http://dx.doi.org/10.2478/jec-2018-0018.

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Abstract In this paper, the results of my research are presented that was carried out on a large sample to investigate how people look back at their previous business decisions. After a short literature overview, considering the role of time, the paper deals with the primary research: how people judge their decisions in the short term and in the long run, that is, how confident they are that the right one was chosen applying the available knowledge of facts and conditions connected with or relevant to their situation. Using statistical methods, comparisons were made, for example, based on the respondents’ gender, so it turns out whether gender has an influence on self-confidence or on exactness of judgement. Does the position, that is, the rank matter? Can it be assumed that the farther one gets up the corporate ladder, the more certainty can be observed about their decisions? And what about educational level? Does it influence judgement in a decision? Those who do not regret their decisions after a while, that is, after the original decisions were made, while being in possession of the information available later, can be more successful in business because they made the best decision. Trying to identify such characteristics or factors can be an advantage in the business life.

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4

Harrison, E. Frank, and Monique A. Pelletier. "Foundations of strategic decision effectiveness." Management Decision 36, no. 3 (April 1998): 147–59. http://dx.doi.org/10.1108/00251749810208931.

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McAlpine, Kristen, Krystina B. Lewis, Lyndal J. Trevena, and Dawn Stacey. "What Is the Effectiveness of Patient Decision Aids for Cancer-Related Decisions? A Systematic Review Subanalysis." JCO Clinical Cancer Informatics, no. 2 (December 2018): 1–13. http://dx.doi.org/10.1200/cci.17.00148.

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Purpose To determine the effectiveness of patient decision aids when used with patients who face cancer-related decisions. Patients and Methods Two reviewers independently screened the 105 trials in the original 2017 Cochrane review to identify eligible trials of patient decision aids across the cancer continuum. Primary outcomes were attributes of the choice and decision-making process. Secondary outcomes were patient behavior and health system effects. A meta-analysis was conducted for similar outcome measures. Results Forty-six trials evaluated patient decision aids for cancer care, including 27 on screening decisions (59%), 12 on treatments (26%), four on genetic testing (9%), and three on prevention (6%). Common decisions were aboutprostate cancer screening (30%), colorectal cancer screening (22%), breast cancer treatment (13%), and prostate cancer treatment (9%). Compared with the control groups (usual care or alternative interventions), the patient decision aid group improved the match between the chosen option and the features that mattered most to the patient as demonstrated by improved knowledge (weighted mean difference, 12.88 of 100; 95% CI, 9.87 to 15.89; 24 trials), accurate risk perception (risk ratio [RR], 1.77; 95% CI, 1.22 to 2.56; six trials), and value-choice agreement (RR, 2.76; 95% CI, 1.57 to 4.84; nine trials). Compared with controls, the patient decision aid group improved the decision-making process with decreased decisional conflict (weighted mean difference, −9.56 of 100; 95% CI, −13.90 to −5.23; 12 trials), reduced clinician-controlled decision making (RR, 0.57; 95% CI, 0.41 to 0.79; eight trials), and fewer patients being indecisive (RR, 0.59; 95% CI, 0.45 to 0.78; nine trials). Conclusion Patient decision aids improve the attributes of the choice made and decision-making process for patients who face cancer-related decisions.

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Chen, Lu, Baiyin Yang, and Runtian Jing. "Paternalistic Leadership, Team Conflict, and TMT Decision Effectiveness: Interactions in the Chinese Context." Management and Organization Review 11, no. 4 (November 26, 2015): 739–62. http://dx.doi.org/10.1017/mor.2015.34.

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ABSTRACTIn this article, we propose that types of CEO paternalistic leadership will affect the effectiveness of top management team (TMT) decisions, and that team conflict will play a mediating role in the relationship between CEO paternalistic leadership and decision effectiveness in the Chinese context. Data collected from 108 TMTs in China suggest that dimensions of paternalistic leadership significantly affect decision effectiveness: benevolent and moral leadership positively affect TMT decision effectiveness, but authoritarian leadership has negative effects on TMT decision effectiveness. In addition, cognitive and affective team conflicts partially mediate the links between paternalistic leadership types and decision effectiveness. The results suggest that CEO paternalistic leadership approaches and conflict modes significantly determine TMT decision effectiveness.

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7

Vučetić, Dejan. "Effectiveness of procedural decisions in first-instance administrative proceedings." Zbornik radova Pravnog fakulteta Nis 60, no. 91 (2021): 75–96. http://dx.doi.org/10.5937/zrpfn0-33292.

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The paper analyzes the normative regulation of the procedural administrative decision institute, which was introduced into the Serbian administrative process as a novelty by the General Administrative Procedure Act (GAPA) in 2016. The paper aims to addresses three research questions: to determine the legislator's goal in regulating this insitute, to identify in which situations such a decision has to be made, and to establish how effective that type of decision is. At the beginning of the paper, the author focuses on the concept of effectiveness, including different, mutually opposed, approaches to defining that notion. The author points out the conceptual misunderstanding between efficiency and effectiveness, and their unjustified equalization. The main goal of introducing the institute of procedural administrative decision is the aspiration for greater protection of parties' procedural rights. The analysis of the text of the General Administrative Procedure Act has yielded seventeen basic types of procedural administrative decisions: a decision on rejecting the party's request, a decision not to allow alteration of the party's request, a decision on suspending the procedure, a decision on termination of the procedure, a decision on imposing a fine, decision on request, a decision on execution, a decision on securing the execution, a decision on appointing a temporary representative, a decision on denying representation to a quack lawyer for unlicenced practice of law, a decision on proposal for restitution, a decision on bearing preliminary procedure costs, a decision on exemption from procedure costs, a decision on payment of costs resulting from the absence or unjustified denial of testimony, a decision on compensation for damage to the holder, a decision on the proposal for providing evidence, and a decision on ordering an interim measure. The author concludes that the institute of procedural administrative decision can negatively affect the effectiveness of administrative proceedings due to the possibility of its unnecessary extension.

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Osmani, Juliana. "The Impact of Group Size on Decision Effectiveness." European Journal of Marketing and Economics 3, no. 2 (October 15, 2020): 108. http://dx.doi.org/10.26417/392xlk97w.

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The relationship between organization and environment, based on the need to gather information and find resources, is increasingly characterized by a high level of uncertainty. Uncertainty means that managers do not have enough information and time to anticipate changes and make good decisions. More and more managers make decisions about new problems or situations. The level of risk increases, as well as the degree of complexity that the decision maker has to face. Under these conditions, organizations are moving towards the use of groups. The main purpose of the current research is to identify what are the most important benefits and limits of the group referring to its size, taking into analysis the banking institutions. For the current study is adopted the quantitative research and for the data collection is used the questionnaire. A total of 344 questionnaire are distributed. 80 percent of the participants agree that group size affects the quality of the decisions made and most of them prefer small groups. Also, most of them believe that within large groups are more conflicts, the relationships between members are more formal, the attention and individual commitment are lower than in small groups, the consensus is difficult, decisions can be made only through a voting process and there are no delays in decision-making, but coordination problems are not necessarily higher than within small groups.

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9

Krupa, Tadeusz, and Teresa Ostrowska. "Decision-Making in Flat and Hierarchical Decision Problems." Foundations of Management 4, no. 2 (December 1, 2012): 23–36. http://dx.doi.org/10.2478/fman-2013-0008.

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Abstract The article is dedicated to the modelling of the essence of decision-taking processes in flat and hierarchical decision problems. In flat decision problems particular attention is drawn to the effectiveness of strategies in seeking decision variants on solution decomposition trees, taking into account the strength of their predefined contradictions. For hierarchical decision processes, the issue of iterative balancing of global (hierarchical) decisions is expressed, based on the valuation of the significance of flat decisions.

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10

Hibino, Masaya, Chisato Hamashima, Mitsunaga Iwata, and Teruhiko Terasawa. "Effectiveness of decision aids on cancer-screening decision-making: an umbrella review protocol." BMJ Open 11, no. 12 (December 2021): e051156. http://dx.doi.org/10.1136/bmjopen-2021-051156.

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IntroductionAlthough systematic reviews have shown how decision aids about cancer-related clinical decisions improve selection of key options and shared decision-making, whether or not particular decision aids, defined by their specific presentation formats, delivery methods and other attributes, can perform better than others in the context of cancer-screening decisions is uncertain. Therefore, we planned an overview to address this issue by using standard umbrella review methods to repurpose existing systematic reviews and their component comparative studies.Methods and analysisWe will search PubMed, Embase, the Cochrane Database of Systematic Reviews and the Database of Abstracts of Reviews of Effects from inception through 31 December 2021 with no language restriction and perform full-text evaluation of potentially relevant articles. We will include systematic reviews of randomised controlled trials or non-randomised studies of interventions that assessed a decision aid about cancer-screening decisions and compared it with an alternative tool or conventional management in healthy average-risk adults. Two reviewers will extract data and rate the study validity according to standard quality assessment measures. Our primary outcome will be intended and actual choice and adherence to selected options. The secondary outcomes will include attributes of the option-selection process, achieving shared decision-making and preference-linked psychosocial outcomes. We will qualitatively assess study, patient and intervention characteristics and outcomes. We will also take special care to investigate the presentation format, delivery methods and quality of the included decision aids and assess the degree to which the decision aid was delivered and used as intended. If appropriate, we will perform random-effects model meta-analyses to quantitatively synthesise the results.Ethics and disseminationEthics approval is not applicable as this is a secondary analysis of publicly available data. The review results will be submitted for publication in a peer-reviewed journal.Prospero registration numberCRD42021235957.

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11

Shepherd, Neil Gareth, and John M. Rudd. "Intuition in Strategic Decision Making: Implications for Strategic Decision Effectiveness." Academy of Management Proceedings 2012, no. 1 (July 2012): 11633. http://dx.doi.org/10.5465/ambpp.2012.11633abstract.

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12

Shaya, Fadia T., and Anna Gu. "Deriving effectiveness information for decision-making." Expert Review of Pharmacoeconomics & Outcomes Research 6, no. 1 (February 2006): 5–7. http://dx.doi.org/10.1586/14737167.6.1.5.

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13

Ryder, Hilary F., Christene M. McDonough, Anna N. A. Tosteson, and Jon D. Lurie. "Decision Analysis and Cost-Effectiveness Analysis." Seminars in Spine Surgery 21, no. 4 (December 2009): 216–22. http://dx.doi.org/10.1053/j.semss.2009.08.003.

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14

Ho, Teck H., and K. S. Raman. "Effectiveness of Organizational Decision Support Systems." IEEJ Transactions on Electronics, Information and Systems 114, no. 3 (1994): 316–29. http://dx.doi.org/10.1541/ieejeiss1987.114.3_316.

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15

Nuijten, Mark JC. "Cost-effectiveness inClostridium difficiletreatment decision-making." World Journal of Clinical Cases 3, no. 11 (2015): 935. http://dx.doi.org/10.12998/wjcc.v3.i11.935.

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16

Kowalski, Charles Joseph, and Adam Joel Mrdjenovich. "Comparative Effectiveness Research: Decision-Based Evidence." Perspectives in Biology and Medicine 57, no. 2 (2014): 224–48. http://dx.doi.org/10.1353/pbm.2014.0017.

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Hunink, M. G. Myriam. "Appraising Decision and Cost-effectiveness Analyses." Journal of Vascular and Interventional Radiology 12, no. 7 (July 2001): 783–87. http://dx.doi.org/10.1016/s1051-0443(07)61501-2.

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18

Schoonover-Shoffner, Kathy. "Improving Work Group Decision-Making Effectiveness." JONA: The Journal of Nursing Administration 19, no. 7 (July 1989): 10???16. http://dx.doi.org/10.1097/00005110-198907010-00004.

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Stein, Sherman C., and Mark G. Burnett. "Decision analysis to estimate cost effectiveness in neurosurgery." Neurosurgical Focus 12, no. 4 (April 2002): 1–5. http://dx.doi.org/10.3171/foc.2002.12.4.6.

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Medical decisions often depend, in part, on cost-effectiveness concerns. Decision analysis is frequently used to help resolve these questions. Unfortunately, this technique has received little attention in neurosurgery. Using an example of moderate head injury, the authors illustrate the utility of this powerful tool in estimating the cost effectiveness of neurosurgical management options.

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Patel, S., S. W. Hee, H. Sandhu, Y. Yang, and M. Underwood. "Safety, effectiveness, and cost effectiveness of decision aids still unclear." BMJ 349, no. 12 2 (November 12, 2014): g6578. http://dx.doi.org/10.1136/bmj.g6578.

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Banaitiene, Nerija, and Zenonas Turskis. "DECISION SUPPORT FOR THE EVALUATION OF BUILDING LIFE CYCLE EFFECTIVENESS." Technological and Economic Development of Economy 10, no. 2 (June 30, 2004): 57–66. http://dx.doi.org/10.3846/13928619.2004.9637656.

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This paper presents a multiple criteria decision model for the life cycle of single family houses analysis based on a decision support system. Methods of multiple criteria analysis are applied for a complex analysis of the single‐family houses life cycle as well as for the evaluation of decisions. The method of multivariant design is applied for making variants of the life cycle of single‐family houses. The multivariant design and multiple criteria evaluation of a building life cycle allow the interested parties (client, contractor, user, etc.) to make efficient decisions on the ground of a quantitative and qualitative variants analysis. The decision maker's attitude can be reflected in the analysis process by the weighting of criteria. The proposed methodology provides a useful tool for building life cycle evaluation. Having applied the information gathered in the database, using the models of a model base, various interested parties of a building life cycle are able to make effective decisions. The system provides a user with all the necessary support required for decision making: in information terms the receipt of quantitative and conceptual information describing a building life cycle, gathering and use thereof, in terms of evaluation the analysis of such information applying the methods of a multiple criteria analysis.

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BANG, H. MIN, SUZANNE B. SHU, and ELKE U. WEBER. "The role of perceived effectiveness on the acceptability of choice architecture." Behavioural Public Policy 4, no. 1 (February 6, 2018): 50–70. http://dx.doi.org/10.1017/bpp.2018.1.

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AbstractThe success of choice architecture, including its adoption in government policy and practice, has prompted questions of whether choice architecture design decisions are sufficiently transparent and publicly acceptable. We examined whether disclosing to decision-makers that a particular choice architecture is in place reduces its effectiveness and whether an understanding of the effectiveness of choice architecture design decisions increases their acceptability. We find that disclosure of the design decision does not reduce its effectiveness and that individuals perceive the effectiveness of specific designs to be higher for others than for themselves. Perceived effectiveness for self increases when individuals have actually experienced the effect of a design decision rather than having it simply described to them. Perceived effectiveness for oneself and others increases the acceptability of the designs. We also find that the intentions of the source matter more than who the source actually is. Important for policy-makers, then, is that disclosure of design decisions does not reduce their effectiveness, and their acceptability depends on their perceived effectiveness and the inferred motivations of the design architect.

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M. Abilov, Serik, and Alexander A. Kaigorodtsev. "QUALIMETRIC METHODS IN ASSESSING THE EFFECTIVENESS OF MANAGEMENT DECISIONS IN UNIVERSI-TIES." Humanities & Social Sciences Reviews 7, no. 5 (September 28, 2019): 237–44. http://dx.doi.org/10.18510/hssr.2019.7529.

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Abstract Purpose: Management decision in the university is a process of convergent analysis, forecasting and timely resolution of problem situations, aimed at achieving synergetic results. The research studies the advantages and feasibility of using qualimetric methods for evaluating effectiveness of the university’s management decisions. Methodology: Our proposal is to use the method, based on qualimetric analysis, in assessing the effectiveness of management decisions in the university. The theoretical propositions and the argumentation of the research findings have been grounded with the following general scientific methods system-thinking approach, structural and level-based, logical and economic-based, as well as statistical analysis. Main Findings: The management decision effectiveness is based on the level of collaboration in decision-making. The degree of collaboration in decision-making is determined by the involvement of various stakeholders in the process. Index of timeliness of a management decision implementation is the ratio of standard time to the actual time spent. The decision is effective if the index value is equal to 1 or exceeds it. Decision efficiency is evaluated based on the quality of its implementation. The integrated indicator of decision-making effectiveness is a combination of values for all four parameters. Implications/Applications: The practical significance of the research predetermined by the fact that application of this methodology contributes to optimizing the interaction of organizational structures on the management synergy basis, and, as a result, to improving the quality of educational services provided by the university. Using the method of qualimetric analysis raises the level of personnel involvement in the process of managerial decision-making, objectivity and decisions quality.

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Raghunath, K. Madhu Kishore, and S. L. Tulasi Devi. "Effectiveness of Risk Assessment Models in Business Decisions." International Journal of Sociotechnology and Knowledge Development 10, no. 2 (April 2018): 35–53. http://dx.doi.org/10.4018/ijskd.2018040103.

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Survival being the rationale for every organisation, there are infinite dynamics which contribute to every organisations growth and survival. Weighing in all the dynamics available, if organisations have to contemplate on the one which acts as catalyst for ultimate survival it is business decision making process. Risk is an inherent ailment that exacerbates organisational decision making ever since the dawn of industrialization, with their reach proliferating ever since. In the present article, the authors articulate the effectiveness of risk assessment models on key business decisions to testify how risk models operate in isolation and when combined together. Authors also analyse the significant effect risk models have on business decision, which serves as justification for organisational efficiency.

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Medlock, Stephanie, Jeremy C. Wyatt, Vimla L. Patel, Edward H. Shortliffe, and Ameen Abu-Hanna. "Modeling information flows in clinical decision support: key insights for enhancing system effectiveness." Journal of the American Medical Informatics Association 23, no. 5 (February 5, 2016): 1001–6. http://dx.doi.org/10.1093/jamia/ocv177.

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Abstract A fundamental challenge in the field of clinical decision support is to determine what characteristics of systems make them effective in supporting particular types of clinical decisions. However, we lack such a theory of decision support itself and a model to describe clinical decisions and the systems to support them. This article outlines such a framework. We present a two-stream model of information flow within clinical decision-support systems (CDSSs): reasoning about the patient (the clinical stream), and reasoning about the user (the cognitive-behavioral stream). We propose that CDSS “effectiveness” be measured not only in terms of a system’s impact on clinical care, but also in terms of how (and by whom) the system is used, its effect on work processes, and whether it facilitates appropriate decisions by clinicians and patients. Future research into which factors improve the effectiveness of decision support should not regard CDSSs as a single entity, but should instead differentiate systems based on their attributes, users, and the decision being supported.

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Chambers, James D., Peter J. Neumann, and Martin J. Buxton. "Does Medicare Have an Implicit Cost-Effectiveness Threshold?" Medical Decision Making 30, no. 4 (June 15, 2010): E14—E27. http://dx.doi.org/10.1177/0272989x10371134.

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Background. Despite the huge cost of the program, the Centers for Medicare and Medicaid Services (CMS) has maintained a policy that cost-effectiveness is not considered in national coverage determinations (NCDs). Objective. To assess whether an implicit cost-effectiveness threshold exists and to determine if economic evidence has been considered in previous NCDs. Methods. A literature search was conducted to identify estimates of cost-effectiveness relevant to each NCD from 1999—2007 (n = 103). The economic evaluation that best represented each coverage decision was included in a review of the cost-effectiveness of medical interventions considered in NCDs. Results. Of the 64 coverage decisions determined to have a corresponding cost-effectiveness estimate, 49 were associated with a positive coverage decision and 15 with a noncoverage decision. Of the positive decisions, 20 were associated with an economic evaluation that estimated the intervention to be dominant (costs less and was more effective than the alternative), 12 with an incremental cost-effectiveness ratio (ICER) of less than $50,000, 8 with an ICER greater than $50,000 but less than $100,000, and 9 with an ICER greater than $100,000. Fourteen of the sample of 64 decision memos cited or discussed cost-effectiveness information. Conclusions. CMS is covering a number of interventions that do not appear to be cost-effective, suggesting that resources could be allocated more efficiently. Although the authors identified several instances where cost-effectiveness evidence was cited in NCDs, they found no clear evidence of an implicit threshold.

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Lee, Sang Moo, Gaeun Kim, Jeonghoon Ahn, Hae Sun Suh, and Dae Seog Heo. "FACTORS INFLUENCING DECISION MAKING ON THERAPEUTIC INTERVENTIONS." International Journal of Technology Assessment in Health Care 29, no. 3 (July 2013): 331–35. http://dx.doi.org/10.1017/s0266462313000214.

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Objectives: The aim of this study was to explore factors that influenced decision making in the assessment of new health technology in Korea.Methods: We analyzed the decision-making results of the Committee for New Health Technology Assessment (CnHTA) on fifty-three new nondrug health technologies in Korea from July 2007 to December 2010. The scope of the committee was mainly limited to safety and efficacy/effectiveness, and every decision was based on a systematic review of the literature. The committee was composed of healthcare professionals, policy makers, lawyers, and representatives from nongovernmental organizations. Decisions made on therapeutic interventions were included, while those on diagnostic procedures were excluded.Results: Factors that positively influenced decisions were lower complication rate than existing technology, similar or greater effectiveness compared with existing technology, ability to save critical organs, absence of alternative intervention, decreased invasiveness, expansion of patient's set of choices, and similarity to the mechanism of existing technology. Factors that negatively influenced decisions were higher complication rates than existing technology, lower effectiveness than comparable technology, low levels of evidence, unknown mechanisms of intervention, inconsistency, lack of long-term outcomes, lack of comparative data, nonstandardized technology, heterogeneity between control and treatment, excessively diverse indications, and nongeneralizability.Conclusions: This qualitative analysis of past decision-making results provided us with clues on the values that decision makers on the Korean CnHTA considered in terms of safety and effectiveness. These findings will help us develop appraisal guidelines and enhance the objectivity of decision-making processes in Korea.

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Dean, James W., and Mark P. Sharfman. "Does Decision Process Matter? A Study Of Strategic Decision-making Effectiveness." Academy of Management Journal 39, no. 2 (April 1996): 368–92. http://dx.doi.org/10.5465/256784.

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Arias, Manuel, and Francisco Javier Díez. "The Problem of Embedded Decision Nodes in Cost-Effectiveness Decision Trees." PharmacoEconomics 32, no. 11 (July 31, 2014): 1141–45. http://dx.doi.org/10.1007/s40273-014-0195-1.

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Dean, J. W., and M. P. Sharfman. "DOES DECISION PROCESS MATTER? A STUDY OF STRATEGIC DECISION-MAKING EFFECTIVENESS." Academy of Management Journal 39, no. 2 (April 1, 1996): 368–92. http://dx.doi.org/10.2307/256784.

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Mustakim, Ichwanul, I. Made Sonny Gunawan, I. Made Gunawan, and Hasnawati Hasnawati. "The Effectiveness of Social Cognitive Career Therapy Counseling in Career Decision Making." KONSELI : Jurnal Bimbingan dan Konseling (E-Journal) 9, no. 2 (November 30, 2022): 223–30. http://dx.doi.org/10.24042/kons.v9i2.13577.

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The problem that many students experience today is related to difficulties in making career decisions. As for helping students make career decisions, a comprehensive intervention is needed, and one alternative that can be used is to provide social cognitive career counselling. This study aimed to confirm the effectiveness of social cognitive career therapy counselling on career decision-making. This study uses a repeated measurement experimental design. The subjects in this study were 6 students of SMA Negeri 3 Mataram who were indicated to have the ability to make career decisions which were shown in the low category. Data collection uses an instrument adapted from The Career Decision Making Self Efficacy Short Form Scale. Data analysis used repeated measure ANOVA statistics. The results of this study indicate that effective social cognitive career therapy counselling can improve students' ability to make career decisions. Furthermore, this study shows a significant difference in students' career decision-making from a gender perspective, where female students have a better ability to make career decisions than male students.

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Pedram Sendi, P., and Andrew H. Briggs. "Affordability and cost-effectiveness: decision-making on the cost-effectiveness plane." Health Economics 10, no. 7 (2001): 675–80. http://dx.doi.org/10.1002/hec.639.

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Петрова, Ирина, and Irina Petrova. "THEORETICAL APPROACHES TO DECISION-MAKING IN ENTERPRISES." Russian Journal of Management 1, no. 2 (June 1, 2013): 93–101. http://dx.doi.org/10.12737/576.

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The article analyzes the stages of decision-making by decisionmaker and criteria for assessing the effectiveness of the decision; studies in detail the factors that influence at the effect of management decisions. The author proposes decision-making algorithm, the scheme to achieve maximum relevance of the effects of management decisions.

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Marafon, Alysson Diego, Leonardo Ensslin, Rogério Tadeu de Oliveira Lacerda, and Sandra Rolim Ensslin. "The effectiveness of multi-criteria decision aid methodology." European Journal of Innovation Management 18, no. 1 (January 12, 2015): 86–109. http://dx.doi.org/10.1108/ejim-10-2013-0106.

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Purpose – The innovation expected by clients is identified as a business success factor of industrial companies in the current decade and the accountability of it is primarily attributable to Research and Development (R&D), which makes it a strategic topic for studies on the decision-making process. In light of this, the purpose of this paper is to present a decision aiding methodology used to support R&D management in the technology-based company, specialised in refrigeration solutions and world leader in the hermetic compressor market. Design/methodology/approach – It is an exploratory study and has deductive-inductive logic and uses a quail-quantitative approach. It uses the Knowledge Development Process Constructivist (ProKnow-C) to systemically revise the literature surrounding the theme in order to identify research opportunities in the subject and adopts the Multi-Criteria Decision Aiding Constructivist (MCDA-C) methodology as an instrument of organisational performance evaluation to fulfil the research opportunities identified. Findings – In the theoretical aspect, this research fulfilled the opportunities observed in recent and qualified literature about R&D performance evaluation. The paper also offers practical implications for the performance evaluation in R&D, since the methodology allowed the R&D manager to build knowledge to understand the consequences of his decisions in the criteria deemed important by himself. Originality/value – The importance of this work covers academic and practical interests, as it documents the application of MCDA-C and increases knowledge concerning R&D management, whilst developing a recurrent tool of decision aiding in the context of the company studied.

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Su, Chenting, Edward F. Fern, and Keying Ye. "A Temporal Dynamic Model of Spousal Family Purchase-Decision Behavior." Journal of Marketing Research 40, no. 3 (August 2003): 268–81. http://dx.doi.org/10.1509/jmkr.40.3.268.19234.

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The authors examine family purchase-decision dynamics to shed light on enhancing marketing communication effectiveness. In particular, the authors are interested in understanding the temporal nature of spousal behavioral interaction in family decision making to help marketers target communication messages, shape brand choice, and guide personal selling activities. The authors calibrate a dynamic simultaneous equations model to investigate spousal family purchase-decision behavior: What are spousal behavioral interactions in a discrete purchase decision, and what are the temporal aspects of spousal decision behavior across decisions? The results indicate that spouses tend both not to reciprocate coercion in a discrete decision and to adjust influence strategies over time. The authors also investigate the effectiveness of influence strategies and spousal satisfaction with decisions and their impacts on spousal subsequent decision behaviors from a postdecision perspective as a mechanism to explain why spouses revise decision behaviors across purchase decisions. The authors discuss marketing implications of their findings and present ideas about how to use these findings creatively to target advertising and sales messages to influential spouses in specific decision contexts.

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Armstrong, Katrina. "Methods in Comparative Effectiveness Research." Journal of Clinical Oncology 30, no. 34 (December 1, 2012): 4208–14. http://dx.doi.org/10.1200/jco.2012.42.2659.

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Comparative effectiveness research (CER) seeks to assist consumers, clinicians, purchasers, and policy makers to make informed decisions to improve health care at both the individual and population levels. CER includes evidence generation and evidence synthesis. Randomized controlled trials are central to CER because of the lack of selection bias, with the recent development of adaptive and pragmatic trials increasing their relevance to real-world decision making. Observational studies comprise a growing proportion of CER because of their efficiency, generalizability to clinical practice, and ability to examine differences in effectiveness across patient subgroups. Concerns about selection bias in observational studies can be mitigated by measuring potential confounders and analytic approaches, including multivariable regression, propensity score analysis, and instrumental variable analysis. Evidence synthesis methods include systematic reviews and decision models. Systematic reviews are a major component of evidence-based medicine and can be adapted to CER by broadening the types of studies included and examining the full range of benefits and harms of alternative interventions. Decision models are particularly suited to CER, because they make quantitative estimates of expected outcomes based on data from a range of sources. These estimates can be tailored to patient characteristics and can include economic outcomes to assess cost effectiveness. The choice of method for CER is driven by the relative weight placed on concerns about selection bias and generalizability, as well as pragmatic concerns related to data availability and timing. Value of information methods can identify priority areas for investigation and inform research methods.

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Wulandari, Luh Putu Ayu, and Gede Sri Darma. "Advertising Effectiveness in Purchasing Decision on Instagram." Journal of Business on Hospitality and Tourism 6, no. 2 (December 24, 2020): 381. http://dx.doi.org/10.22334/jbhost.v6i2.220.

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The aim of this research is to observe the impact of advertising creativity, advertising appeal and endorser credibility to the advertising effectiveness and purchase decision on Instagram. This research was conducted in Ilsproject Store. It is an online and offline store in Denpasar which sells fashion product. The design of this research is a quantitative research which shows a causality relationship between variables. The technique of collecting data was done using questionnaire to 168 consumers. The technique of analyzing data was done using structural equation modeling (SEM) with the AMOS program version 22. The result of this research shows that the advertising creativity has a positive and significant impact of 0,783 to the advertising effectiveness and 0,203 to the purchase decision. The advertising appeal has a positive and significant impact of 0,783 to the advertising effectiveness and 0,648 to the purchase decision. The endorser credibility has a positive and significant impact of 0,803 to the advertising effectiveness and 0,656 to the purchase decision. The advertising effectiveness has a positive and significant impact to the purchase decision with the number 0,831.

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Jansen, Rob, Marino Van Zelst, Anouk Van Laerhoven, and Maryse Chappin. "Strategic Decision Effectiveness: Toward a Configurational Perspective." Academy of Management Proceedings 2017, no. 1 (August 2017): 15247. http://dx.doi.org/10.5465/ambpp.2017.15247abstract.

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Tikhanychev, Oleg V. "Evaluating the automated organizational decision support effectiveness." Journal of Physics: Conference Series 1889, no. 2 (April 1, 2021): 022019. http://dx.doi.org/10.1088/1742-6596/1889/2/022019.

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Karlsson, Göran, and Magnus Johannesson. "The Decision Rules of Cost-Effectiveness Analysis." PharmacoEconomics 9, no. 2 (February 1996): 113–20. http://dx.doi.org/10.2165/00019053-199609020-00003.

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Maurer, Janet R. "Decision Analysis Modeling and Comparative Effectiveness Research." American Journal of Respiratory and Critical Care Medicine 184, no. 11 (December 2011): 1227–29. http://dx.doi.org/10.1164/rccm.201109-1622ed.

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Kohnen, James B. "Team Effectiveness and Decision Making in Organizations." Quality Management Journal 4, no. 2 (January 1997): 16–17. http://dx.doi.org/10.1080/10686967.1997.11918779.

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Crichton, Margaret T. "Improving team effectiveness using tactical decision games." Safety Science 47, no. 3 (March 2009): 330–36. http://dx.doi.org/10.1016/j.ssci.2008.07.036.

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Hunink, Maria G. M., Jan Roelf Bult, Jelle De Vries, and Milton C. Weinstein. "Uncertainty in Decision Models Analyzing Cost-Effectiveness." Medical Decision Making 18, no. 3 (August 1998): 337–46. http://dx.doi.org/10.1177/0272989x9801800312.

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Craig, Bruce A., Michael A. Black, and Peter P. Sendi. "Uncertainty in Decision Models Analyzing Cost-Effectiveness." Medical Decision Making 20, no. 1 (January 2000): 135–36. http://dx.doi.org/10.1177/0272989x0002000118.

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Engström, Andreas. "Cost-effectiveness in Swedish reimbursement decision making." European Journal of Pharmaceutical Sciences 34, no. 1 (June 2008): S12. http://dx.doi.org/10.1016/j.ejps.2008.02.029.

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Hailey, David. "The need for cost-effectiveness studies in telemedicine." Journal of Telemedicine and Telecare 11, no. 8 (December 2005): 379–83. http://dx.doi.org/10.1177/1357633x0501100801.

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summary Telemedicine has the potential substantially to improve the delivery of health care. However, cost-effectiveness studies are needed to help define the appropriate scope and application of telemedicine in different settings. Reports on the evaluation of telemedicine are dominated by technical and feasibility studies. Such studies may be very helpful for initial decision making. However, any cost information at this level tends to be very preliminary and often concerned with making a case to proceed further. Decision makers will wish for further information as the telemedicine application is introduced, to consider its effectiveness – its performance under routine conditions. Without information on the costs and effectiveness of telemedicine services, decision makers run the risk of supporting telemedicine systems that are not responsive to health-care needs or which do not provide cost-effective services. The most immediate needs seem to be improvements in the conduct and reporting of studies, and additional information on the performance of telemedicine in routine practice. Investigators need to provide transparent accounts of their studies, describing in detail the approaches taken, sources of data and assumptions made, and indicating the reliability of their results. Decisions may have to be made on the basis of limited studies, but sufficient detail must be made available to decision makers.

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Kalashnik, D. V., and S. A. Sembaev. "DECISION SUPPORT SYSTEM IN EVALUATING THE EFFECTIVENESS OF ECONOMIC ENTITIES." Bulletin USPTU Science education economy Series economy 4, no. 42 (2022): 57–63. http://dx.doi.org/10.17122/2541-8904-2022-4-42-57-63.

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In the modern world, absolutely every business needs various automated processes. In order for the work of the company, through which a huge flow of people passes, to be fast and of high quality, a decision support system is used. A decision support system (DSS) is a type of computer information system that helps the manager make important decisions. Today, information technology has the greatest influence on the functioning of banks. For banks, DSS is a necessary factor, thanks to which they can receive up-to-date, complete and accurate information about their activities from an automated source, which, in turn, allows them to analyze information and make important management decisions in time. More and more people are actively using banking services every day, and accordingly there are more issues that need to be addressed as soon as possible. In order for the bank to work quickly and efficiently, to keep all information received from customers, including its confidentiality, a prerequisite for banks is the constant improvement of information systems, as well as the consideration of new ones for implementation in their activities. First of all, its rating depends on how quickly and how well the bank serves its client, solves all his questions, besides, the more the client likes the service in this bank, the more often he will choose it from a huge number of others. Thus, based on the relevance of this problem, we can say that this article is devoted to the study of the influence of the decision support system on the activities of banks in Russia, as well as to the consideration of the general characteristics of the decision support system

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McCartt, Anne T., and John Rohrbaugh. "Evaluating group decision support system effectiveness: A performance study of decision conferencing." Decision Support Systems 5, no. 2 (June 1989): 243–53. http://dx.doi.org/10.1016/0167-9236(89)90010-9.

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Sher, David J., and Rinaa S. Punglia. "Decision Analysis and Cost-Effectiveness Analysis for Comparative Effectiveness Research—A Primer." Seminars in Radiation Oncology 24, no. 1 (January 2014): 14–24. http://dx.doi.org/10.1016/j.semradonc.2013.08.002.

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