{"title":"决策过程中的信息、情境线索和个人策略会发生什么变化?潜在决策特征在现实决策中的贡献","authors":"","doi":"10.1007/s40622-024-00374-3","DOIUrl":null,"url":null,"abstract":"<h3>Abstract</h3> <p>The role of information-processing strategies in defining individual attitudes toward decision-making has been little investigated and, in general, has almost always been explored via self-reported measures. This study investigates how different strategies for information processing are used to make decisions, via a new task based on realistic decision-making scenarios and observation of actual decisional behavior. Three levels of information processing are considered: (i) low-level information related to decision details; (ii) mid-level information concerning the task and the goals to be accomplished; (iii) high-level information including situational aspects and features of the context. General decision-making style questionnaire was also administered. Hierarchical cluster analysis parsed out three emerging profiles characterized by attention to low-level, mid-level, and high-level pieces of information, which was linked to detail-focused, task-oriented, and situation-aware approaches to gather and process information in supporting decision. Such emerging profiles also proved to differ in terms of primary general decision-making styles, a finding that depose in favor of the robustness of the latent classification. These findings allowed us to delineate a model in which different information-processing strategies provide the basis for identifying different profiles of decision-makers.</p>","PeriodicalId":43923,"journal":{"name":"Decision","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2024-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"What happens to information, situational cues, and individual strategies in decision-making? The contribution of latent decisional profiles in realistic decisions\",\"authors\":\"\",\"doi\":\"10.1007/s40622-024-00374-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3>Abstract</h3> <p>The role of information-processing strategies in defining individual attitudes toward decision-making has been little investigated and, in general, has almost always been explored via self-reported measures. This study investigates how different strategies for information processing are used to make decisions, via a new task based on realistic decision-making scenarios and observation of actual decisional behavior. Three levels of information processing are considered: (i) low-level information related to decision details; (ii) mid-level information concerning the task and the goals to be accomplished; (iii) high-level information including situational aspects and features of the context. General decision-making style questionnaire was also administered. Hierarchical cluster analysis parsed out three emerging profiles characterized by attention to low-level, mid-level, and high-level pieces of information, which was linked to detail-focused, task-oriented, and situation-aware approaches to gather and process information in supporting decision. Such emerging profiles also proved to differ in terms of primary general decision-making styles, a finding that depose in favor of the robustness of the latent classification. These findings allowed us to delineate a model in which different information-processing strategies provide the basis for identifying different profiles of decision-makers.</p>\",\"PeriodicalId\":43923,\"journal\":{\"name\":\"Decision\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2024-03-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Decision\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s40622-024-00374-3\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Decision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s40622-024-00374-3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MANAGEMENT","Score":null,"Total":0}
What happens to information, situational cues, and individual strategies in decision-making? The contribution of latent decisional profiles in realistic decisions
Abstract
The role of information-processing strategies in defining individual attitudes toward decision-making has been little investigated and, in general, has almost always been explored via self-reported measures. This study investigates how different strategies for information processing are used to make decisions, via a new task based on realistic decision-making scenarios and observation of actual decisional behavior. Three levels of information processing are considered: (i) low-level information related to decision details; (ii) mid-level information concerning the task and the goals to be accomplished; (iii) high-level information including situational aspects and features of the context. General decision-making style questionnaire was also administered. Hierarchical cluster analysis parsed out three emerging profiles characterized by attention to low-level, mid-level, and high-level pieces of information, which was linked to detail-focused, task-oriented, and situation-aware approaches to gather and process information in supporting decision. Such emerging profiles also proved to differ in terms of primary general decision-making styles, a finding that depose in favor of the robustness of the latent classification. These findings allowed us to delineate a model in which different information-processing strategies provide the basis for identifying different profiles of decision-makers.
期刊介绍:
The aim of the Journal, Decision, is to publish qualitative, quantitative, survey-based, simulation-based research articles at the national and sub-national levels. While there is no stated regional focus of the journal, we are more interested in examining if and how individuals, firms and governments in emerging economies may make decisions differently. Published for the management scholars, business executives and managers, the Journal aims to advance the management research by publishing empirically and theoretically grounded articles in management decision making process. The Editors aim to provide an efficient and high-quality review process to the authors.
The Journal accepts submissions in several formats such as original research papers, case studies, review articles and book reviews (book reviews are only by invitation).
The Journal welcomes research-based, original and insightful articles on organizational, individual, socio-economic-political, environmental decision making with relevance to theory and practice of business. It also focusses on the managerial decision-making challenges in private, public, private-public partnership and non-profit organizations. The Journal also encourages case studies that provide a rich description of the business or societal contexts in managerial decision-making process including areas – but not limited to – conflict over natural resources, product innovation and copyright laws, legislative or policy change, socio-technical embedding of financial markets, particularly in developing economy, an ethnographic understanding of relations at a workplace, or social network in marketing management, etc.
Research topics covered in the Journal include (but not limited to):
Finance and Accounting
Organizational Theory and Behavior
Decision Science
Public Policy-Economic Insights
Operation Management
Innovation and Entrepreneurship
Information Technology and Systems Management
Optimization and Modelling
Supply Chain Management
Data Analytics
Marketing Management
Human Resource Management