Antecedents of Effective Decision Making: A Cognitive Approach

Decision-making effectiveness has been associated with how well managers adapt their cognitive style to task requirements. In this paper, theories regarding decision-making under uncertainty and the use of judgment and intuition are reviewed and integrated. Cognitive Continuum Theory (CCT), positing a one-dimensional continuum of cognitive styles anchored by intuition and analysis, is extended: Four fundamental decision styles are identified and evaluated for their relative effectiveness under various task conditions. Propositions are developed with respect to the relationships between decision task characteristics and the likelihood of using two cognitive systems, and with respect to potential moderators of decision-making effectiveness. The propositions are integrated into a comprehensive theoretical model. Major contributions of the study are a conceptual clarification of the distinctions between intuition, heuristics and bounded rationality on the one hand, and the assessment of the scope of various cognitive styles as well as the identification of moderators of their effectiveness on the other. Research implications and some suggestions for managerial practice are provided.Economics ;

Effective Decision Making during Project Implementation

Birinder Sandhawalia and Darren Dalcher, 'Effective Decision Making during Project Implementation' paper presented at Group Decision and Negotiation: GDN 2016. Western Washington University, WA, USA, 20-24 June 2016Project leaders rely on the competence and knowledge of team members to implement successful projects in changing environments. Leaders mobilise knowledge and learning generated during project implementation to support team members’ diverse expertise, integrate different stakeholder expectations, enable collective performance, and ensure project success. The paper presents a theoretical model that supports team knowledge and competencies within the project development effort through the mechanisms of interaction and feedback. It suggests that facilitating the flow of dynamic knowledge during project implementation improves decision making and team performance. Moreover, the proposed model has longer-term implications regarding project leaders’ ability to manage context, provide feedback and support interaction.Non peer reviewedFinal Published versio

Data Expeditions: Mining Data for Effective Decision-Making

Beyond library budgets and content usage reports, libraries and consortia are searching, sorting, managing, and hunting for deep data that allows them to understand their environments and represent themselves and their patrons more effectively in these changing and complicated times. But data challenges exist at every turn. Finding data, which is often housed in a variety of disparate sources, is the first challenge but it is immediately followed by measuring, adapting, and distilling data down to the most important factors. Libraries and consortia spend many person hours gathering data from scratch and then deriving information and knowledge from that data to make informed, evidence-based decisions.In this session, we will hear from leading library experts about their scholarly publishing data hunting expeditions and the innovative ways they access and utilize deep data to inform their discussions and decisions and support their activities

Economic valuation of forests and nature : a support tool for effective decision making

Included are several case studies, like: The Leuser ecosystem, Sumatra; The Borivili National Park, India; Tropical rain forests, Costa Rica; Mangrove forests, Philippines. This document has been prepared by: IAC and EC-LN

The Role of Emotional Intelligence in Effective Decision-Making

The purpose of this research was to analyze how EQ relates to managerial performance in Malaysia. One hundred fifty managers were polled on their EQ, personality type, and effectiveness on the work. Emotional IQ was found to have a favorable relationship with both rational and intuitive decision-making styles (r =.43, p .001), but a negative relationship with rational decision-making style (r = -.24, p .05). After accounting for factors such as age, gender, level of education, and length of employment, emotional intelligence was still found to be a significant predictor of work success (r=.33, p .001). The results of this study have significant consequences for Malaysian businesses and their leaders. The findings imply that administrators can benefit from enhanced decision-making and productivity by boosting their emotional intelligence. Better organizational outcomes, like improved productivity and profits, may result from this. But the present research has some restrictions, like using self-report measures and only surveying managers in Malaysia for its sample. A more diverse sample of individuals from a variety of settings, as well as more objective measures of emotional intelligence and decision-making, could improve future studies. This research contributes to the expanding literature on the importance of EQ to success in life and the workplace. The results indicate that emotional intelligence is a valuable trait for managers to have, and that businesses would do well to encourage their employees to cultivate these abilities

Leadership for Today Effective Decision Making Strategies for Groups

Have you ever been faced with making a difficult decision? If so, you were likely challenged to discover facts, balance emotions, and take into account the conse¬quences that the resulting action will have on others. In other words, decision making is hard work! Decision making is also not an easy process for orga¬nizations, committees, and groups of people to under¬take. In all likelihood, we can remember times when a group successfully (or not so successfully) made a deci¬sion. Often, well-thought-out decisions are remembered for their successful impact on the group or community. Likewise, poor decision making by a group will long be remembered for its negative consequences. Therefore, productive and well-functioning committees and groups will employ a variety of strategic processes for making decisions

Parks and Protected Areas: Mobilizing Knowledge for Effective Decision-Making

Parks and protected areas provide important services to nature and society. Park managers make difficult decisions to achieve their diverse mandates, and need current, relevant, and rigorous information. However, effective use of research provided by social scientists, natural scientists, local people, or Indigenous people is an ongoing challenge. Through case studies, this book examines knowledge mobilization in parks and protected areas, with a focus on successes and failures, barriers and enablers, diverse theoretical frameworks, and structural innovations. This book embraces the generation and use of knowledge, especially natural science, social science, local knowledge, and Indigenous knowledge, in relation to policy, planning, and management of parks and protected areas

A Survey of Visual Analytics Tools for Effective Decision-Making

Over the past decade, the visualization for cybersecurity (VizSec) research community has adapted many information visualization techniques to support the critical work of cyber analysts. While these efforts have yielded many specialized tools and platforms, the community lacks a unified approach to the design and implementation of these systems. In this work, we provide a retrospective analysis of the past decade of VizSec publications, with an eye toward developing a more cohesive understanding of the emerging patterns of design: • We identify common thematic groupings among existing work, as well as interesting patterns of design around the utilization of various visual encodings. • We also discuss existing gaps in the adaptation of visualization techniques for cybersecurity applications, and recommend avenues for future exploration

EFFECTIVE DECISION-MAKING AND ORGANIZATIONAL GOAL ACHIEVEMENT IN A DEPRESSED ECONOMY

Effective decision-making occupies key position in the life of an organization be it a public establishment or a private corporate entity. On daily basis, executives and leaders make multiplicity of decisions involving the exchange of information, data review, generation of new ideas, evaluation of alternative courses of action and implementation of policies. This article examines how effective decision-making impacts organizational goal achievement especially in a depressed economy. Descriptive research method was adopted in the article. Instrument used to gather data was questionnaire designed on 5-point scale ranging from strongly agree to strongly disagree. Tables and percentages were used to analyze the data generated from the questionnaires. Chi-square inferential statistical tool was used to test the hypothesis of the study stated in null terms as follows: “cutting-edge knowledge of information technology and relevant data availability are not essential ingredients of effective decision-making for the achievement of organizational goals” The result of the chi-square test showed that chi-square calculated value (X2 cal 36.5) exceeded the table value of the chi-square (X2 tab 9.49). The result led to the rejection of the null hypothesis (Ho) and the acceptance of the Alternative hypothesis (Hi) thereby lending credence to the fact that effective decision-making with cutting-edge knowledge of modern information technology and relevant data availability lead to the achievement of desired organizational goals. This article is of the view that the chief executive and top management of an enterprise must seek broad spectrum of input from both inside and outside sources to make good decisions that would move the organization forward. Information from customers, suppliers and employees are instrumental to successful decision-makin

Towards a knowledge-based approach for effective decision making in railway safety

Purpose – This paper aims to contribute towards understanding how safety knowledge can be elicited from railway experts for the purposes of supporting effective decision-making. Design/methodology/approach – A consortium of safety experts from across the British railway industry is formed. Collaborative modelling of the knowledge domain is used as an approach to the elicitation of safety knowledge from experts. From this, a series of knowledge models is derived to inform decision-making. This is achieved by using Bayesian networks as a knowledge modelling scheme, underpinning a Safety Prognosis tool to serve meaningful prognostics information and visualise such information to predict safety violations. Findings – Collaborative modelling of safety-critical knowledge is a valid approach to knowledge elicitation and its sharing across the railway industry. This approach overcomes some of the key limitations of existing approaches to knowledge elicitation. Such models become an effective tool for prediction of safety cases by using railway data. This is demonstrated using passenger–train interaction safety data. Practical implications – This study contributes to practice in two main directions: by documenting an effective approach to knowledge elicitation and knowledge sharing, while also helping the transport industry to understand safety. Social implications – By supporting the railway industry in their efforts to understand safety, this research has the potential to benefit railway passengers, staff and communities in general, which is a priority for the transport sector. Originality/value – This research applies a knowledge elicitation approach to understanding safety based on collaborative modelling, which is a novel approach in the context of transport. </jats:sec