scholarly journals Aging and Decision-Making: A Conceptual Framework for Future Research - A Mini-Review

Gerontology ◽  
2017 ◽  
Vol 64 (2) ◽  
pp. 140-148 ◽  
Author(s):  
Corinna E. Löckenhoff

Age differences in decision-making are of theoretical interest and have important practical implications, but relevant lines of work are distributed across multiple disciplines and often lack integration. The present review proposes an overarching conceptual framework with the aim of connecting disjointed aspects of this field of research. The framework builds on process models of decision-making and specifies potential mechanisms behind age effects as well as relevant moderators including task characteristics and contextual factors. After summarizing the extant literature for each aspect of the framework, compensatory mechanisms and ecological fit between different components of the model are considered. Implications for real-life decision-making, remaining research gaps, and directions for future research are discussed.

2017 ◽  
Vol 40 (12) ◽  
pp. 1861-1884 ◽  
Author(s):  
Kyounghae Kim ◽  
Katherine Heinze ◽  
Jiayun Xu ◽  
Melissa Kurtz ◽  
Hyunjeong Park ◽  
...  

The aim of this meta-ethnography is to appraise the types and uses of theories relative to end-of-life decision making and to develop a conceptual framework to describe end-of-life decision making among patients with advanced cancers, heart failure, and amyotrophic lateral sclerosis (ALS) and their caregivers or providers. We used PubMed, Embase, and Cumulative Index to Nursing and Allied Health Literature (CINAHL) databases to extract English-language articles published between January 2002 and April 2015. Forty-three articles were included. The most common theories included decision-making models ( n = 14) followed by family-centered ( n = 11) and behavioral change models ( n = 7). A conceptual framework was developed using themes including context of decision making, communication and negotiation of decision making, characteristics of decision makers, goals of decision making, options and alternatives, and outcomes. Future research should enhance and apply these theories to guide research to develop patient-centered decision-making programs that facilitate informed and shared decision making at the end of life among patients with advanced illness and their caregivers.


Animals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 1114
Author(s):  
Katherine Littlewood ◽  
Ngaio Beausoleil ◽  
Kevin Stafford ◽  
Christine Stephens

Cats are the most common companion animals in New Zealand. Advances in veterinary care means that cats are living longer and there are many older cats. End-of-life decisions about cats are complicated by owner–cat relationships and other psychosocial factors. Our study explored the ways in which end-of-life decisions were being made by owners of older and chronically ill cats in New Zealand and the role of their veterinarian in the process. Qualitative data were gathered via retrospective semi-structured interviews with 14 cat owners using open-ended questions. Transcripts of these interviews were explored for themes using template analysis and nine themes were identified. Four were animal-centered themes: cat behavior change, pain was a bad sign, signs of ageing are not good, and the benefits of having other people see what owners often could not. Five were human-centered themes: veterinarians understanding owners’ relationships with their cat, normalizing death, the need for a good veterinarian to manage end of life, veterinary validation that owners were doing the right thing, and a strong desire to predict the time course and outcome for their cat. End-of-life decision making is complex, and the veterinarian’s role is often poorly defined. Our owners appreciated the expertise and validation that their veterinarian provided but continuity of care was important. Future research aimed at exploring the veterinarian’s perspective during end-of-life decision making for cats would be a valuable addition to the topic.


2006 ◽  
Vol 41 (4) ◽  
pp. 629-639 ◽  
Author(s):  
Kathleen M. Galotti ◽  
Elizabeth Ciner ◽  
Hope E. Altenbaumer ◽  
Heather J. Geerts ◽  
Allison Rupp ◽  
...  

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Hao Qinxia ◽  
Shah Nazir ◽  
Ma Li ◽  
Habib Ullah ◽  
Wang Lianlian ◽  
...  

The influential stage of Internet of Things (IoT) has reformed all fields of life in general but specifically with the emergence of artificial intelligence (AI) has drawn the attention of researchers into a new paradigm of life standard. This revolution has been accepted around the globe for making life easier with the use of intelligent devices such as smart sensors, actuators, and many other devices. AI-enabled devices are more intelligent and capable of doing a specific task which saves a lot of resources and time. Different approaches are available in the existing literature to tackle diverse issues of real life based on AI and IoT systems. The role of decision-making has its own importance in the AI-enabled and IoT systems. In-depth knowledge of the existing literature is dire need of the research community to summarize the literature in effective way by which practitioners and researchers can benefit from the prevailing proofs and suggest new solutions for solving a particular problem of AI-enabled sensing and decision-making for the IoT system. To facilitate research community, the proposed study presents a systematic literature review of the existing literature, organizes the evidences in a systematic way, and then analyzes it for future research. The study reported the literature of the last 5 years based on the research questions, inclusion and exclusion criteria, and quality assessment of the selected study. Finally, derivations are drawn from the included paper for future research.


Author(s):  
Craig R. Scott ◽  
C. Erik Timmerman

Although various technologies are widely used to support decision-making teams, we know relatively little about the use of specialized Electronic Meeting Systems (EMSs) and their use over time during ongoing projects. This study addresses that gap by examining how communication affordances (anonymous communication, participation equality, and influence equality) of some EMSs may change with repeated usage of the system for multiple decision-making meetings. Based on an EMS process model and related theories, the authors hypothesize that communicative benefits will decline after initial team interaction. Data from 14 intact decision-making teams (using an EMS for 3 separate meetings) provide strong support for most of the anonymity hypotheses, as perceptions of self and other anonymity decline and confidence in source attributions increases with repeated usage. There was partial support for the predicted changes in participation equality and influence equality. The authors conclude with practical implications and future research directions based on these findings.


Author(s):  
Rami Benbenishty ◽  
John D. Fluke

This chapter presents the basic concepts, theoretical perspectives, and areas of scholarship that bear on decisions in child welfare—making choices in decision environments characterized by high levels of uncertainty. The authors distinguish between normative models that predict what decision-makers ought to choose when faced with alternatives and descriptive models that describe how they tend to make these choices in real life. The chapter reviews those challenges that may be especially relevant in the complex context of child welfare and protection. One way in which decision-makers overcome task complexities and limitations in human information processing (bounded rationality) is by using heuristics to navigate complex tasks. The chapter reviews strategies to correct some limitations in judgment. The authors examine the relationships between workers’ predictions of what would be the outcomes of the case and the actual outcomes and describe two types of error (false positive and false negative) and the related concepts of specificity and sensitivity. These issues are followed by a description of the Lens Model and some of its implications for child welfare decision-making, including predictive risk modeling and studies on information processing models. The final section presents current theoretical models in child welfare decision-making and describes Decision-Making Ecology (DME) and Judgments and Decision Processes in Context (JUDPiC). The chapter concludes with suggestions for future research on child welfare decision-making that could contribute to our conceptual understanding and have practical utility as well.


Author(s):  
Benjamin Nitsche ◽  
Christian F. Durach

Purpose A conceptual framework of supply chain volatility (SCV) is developed to help researchers and practitioners converge their discussions and understandings on this vital phenomenon. Sources, dimensions and moderators of SCV are investigated and a conceptual framework is proposed. The paper aims to discuss these issues. Design/methodology/approach Data triangulation was performed through reviewing 2,789 peer-reviewed articles and conducting a group exercise with 23 practitioners. Consequently, 364 sources were identified. Through a structured synthesis process that built on the Q-methodology with multiple academics, a framework of meta-level sources, dimensions and moderators of SCV was developed. An additional on-site meeting with 17 practitioners was conducted aiming at delineating the dimensions by their effect on SCV. Findings The authors propose 20 meta-level sources that contribute to five distinct dimensions of SCV, proposing behavior of customers and decision makers as contextual moderating variables. A classification scheme consisting of three descriptive SCV-affecting characteristics is proposed to delineate the dimension’s effect on SCV: relative deviating impact, repetitiveness and influenceability. Results are summarized in 15 propositions. Research limitations/implications The paper extends knowledge on SCV and provides a coherent conceptualization of the phenomenon for future research. The proposed framework demands quantitative testing to derive more reliable conclusions. Practical implications The framework aims at reducing the gap between research and practice. It helps managers to understand researchers’ discussions and how to derive expedient implications from them. Originality/value It is the first study that systematically synthesizes widely spread literature in this field to derive a conceptual framework that seeks to explain SCV in a holistic way.


Author(s):  
Somayeh Asghari ◽  
Sahar Targholi ◽  
Ali Kazemi ◽  
Saeed Shahriyari ◽  
Lila Rajabion

Purpose Competitive intelligence (CI) collects data through the distribution of knowledge to make decisions in a competitive environment. To better comprehend the concept of CI, the purpose of this paper is to determine the role of effective factors (knowledge sharing, competitor information, information technology (IT) and organizational culture) and their impact on CI. In addition, the paper provides a conceptual framework for determining the practical factors on CI. Design/methodology/approach For evaluating the elements of the model, a questionnaire is considered. Questionnaires were reread by specialists with significant experiences in the CI field. For statistical analysis, the SPSS 22 and SmartPLS 3.2 software package is also used. Findings Findings from the study showed the validity of the model for a CI assessment. Furthermore, the results confirmed that the competitor information significantly influenced CI. In addition, the obtained results implied that IT has a significant and positive influence on CI. The effect of organizational culture on CI also proved to be positive and significant. Research limitations/implications This paper makes significant contributions for both researchers and practitioners; however, the authors determine some limitations, which are as follows: First, the authors showed the result in a single region. It cannot be assured that the results are generalizable to other areas. Second, because of time and financial constraints, the authors gathered the data using a sample from a single location. Third, the use of variables to depict CI may be not exhaustive. The authors, therefore, encourage future research to study these CI dimensions. Practical implications This study meaningfully contributes to the knowledge and literature by focusing more on CI, examining other significant aspects and applying advanced statistical analysis method. Also, current research results suggest practical implications for marketing practitioners and managers who implemented tools and made strategic plans to enhance the organization’s performance. From a practical perspective, the statistical results support the crucial role of the following factors: IT, competitor information, organizational culture and knowledge sharing on CI. Originality/value Experts in the area of knowledge management, CI and strategic management can use this study to gain a competitive advantage based on knowledge and information resources. Organizations must have knowledge management function and CI to support the strategy formulation, implementation and evaluation.


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