scholarly journals The Biography of an Algorithm: Performing algorithmic technologies in organizations

2021 ◽  
Vol 2 (2) ◽  
pp. 263178772110046
Author(s):  
Vern L. Glaser ◽  
Neil Pollock ◽  
Luciana D’Adderio
Keyword(s):  
Decision Making ◽  
Organizational Capabilities ◽  
Negative Consequences ◽  
Organizational Decision Making ◽  
Computational Tools ◽  
Dynamic Perspective ◽  
Over Time

Algorithms are ubiquitous in modern organizations. Typically, researchers have viewed algorithms as self-contained computational tools that either magnify organizational capabilities or generate unintended negative consequences. To overcome this limited understanding of algorithms as stable entities, we propose two moves. The first entails building on a performative perspective to theorize algorithms as entangled, relational, emergent, and nested assemblages that use theories—and the sociomaterial networks they invoke—to automate decisions, enact roles and expertise, and perform calculations. The second move entails building on our dynamic perspective on algorithms to theorize how algorithms evolve as they move across contexts and over time. To this end, we introduce a biographical perspective on algorithms which traces their evolution by focusing on key “biographical moments.” We conclude by discussing how our performativity-inspired biographical perspective on algorithms can help management and organization scholars better understand organizational decision-making, the spread of technologies and their logics, and the dynamics of practices and routines.

scholarly journals 320 - Barriers to Deprescribing in Older Adults with Dementia

2020 ◽  
Vol 32 (S1) ◽  
pp. 78-78
Author(s):  
Mariana Duarte-Mangas ◽  
Gonçalo A. Santos ◽  
Beatriz Jorge ◽  
Catarina Pedro Fernandes
Keyword(s):  
Quality Of Life ◽  
Decision Making ◽  
Chronic Illnesses ◽  
Negative Consequences ◽  
Inappropriate Drugs ◽  
People With Dementia ◽  
Decision Making Capacity ◽  
Multiple Morbidities ◽  
Over Time

Individuals with dementia usually have multiple chronic illnesses, most of whom are medicated with five or more medications. However, as dementia progresses and the goal of care moves from prolonging life to optimizing quality of life, the risk of taking certain medications may outweigh its benefit. Therefore, it is necessary to reassess the medication over time.The objective of this work was to explore the barriers to optimising prescribing and deprescribing (withdrawing) of medications and the benefits of this procedure. Optimizing pharmacological treatment for people with dementia usually requires the prescription of inappropriate drugs and the initiation of other drugs. Several obstacles to the optimization of treatment have been identified in elderly people with multiple morbidities, related to the doctor, the health system, the patient and the caregiver, including: inadequate guidelines, incomplete medical history, prevention of negative consequences and established beliefs in the benefits and harms medication. Desprescribing older people with dementia is made even more difficult by the decrease in decision-making capacity, difficulties in understanding and communicating, increased involvement of caregivers and difficulties in setting goals.

scholarly journals Delegating learning

2021 ◽  
Vol 16 (2) ◽  
pp. 571-603
Author(s):  
Juan F. Escobar ◽  
Qiaoxi Zhang
Keyword(s):  
Decision Making ◽  
Mechanism Design ◽  
Design Problem ◽  
Dynamic Mechanism ◽  
Organizational Decision Making ◽  
Trade Off ◽  
Dynamic Mechanism Design ◽  
Optimal Delegation ◽  
Over Time

Learning is crucial to organizational decision making but often needs to be delegated. We examine a dynamic delegation problem where a principal decides on a project with uncertain profitability. A biased agent, who is initially as uninformed as the principal, privately learns the profitability over time and communicates to the principal. We formulate learning delegation as a dynamic mechanism design problem and characterize the optimal delegation scheme. We show that private learning gives rise to the trade‐off between how much information to acquire and how promptly it is reflected in the decision. We discuss implications on learning delegation for distinct organizations.

Continuous Decisions

2020 ◽  
Author(s):  
Seng Bum Michael Yoo ◽  
Benjamin Hayden ◽  
John Pearson
Keyword(s):  
Decision Making ◽  
Control Theory ◽  
Hierarchical Structure ◽  
Action Planning ◽  
Extended Period ◽  
Microeconomic Theory ◽  
Engineering Control ◽  
Over Time ◽  
Academic Study

Humans and other animals evolved to make decisions that extend over time with continuous and ever-changing options. Nonetheless, the academic study of decision-making is mostly limited to the simple case of choice between two options. Here we advocate that the study of choice should expand to include continuous decisions. Continuous decisions, by our definition, involve a continuum of possible responses and take place over an extended period of time during which the response is continuously subject to modification. In most continuous decisions, the range of options can fluctuate and is affected by recent responses, making consideration of reciprocal feedback between choices and the environment essential. The study of continuous decisions raises new questions, such as how abstract processes of valuation and comparison are co-implemented with action planning and execution, how we simulate the large number of possible futures our choices lead to, and how our brains employ hierarchical structure to make choices more efficiently. While microeconomic theory has proven invaluable for discrete decisions, we propose that engineering control theory may serve as a better foundation for continuous ones. And while the concept of value has proven foundational for discrete decisions, goal states and policies may prove more useful for continuous ones.

scholarly journals A Bibliometric Network Analysis of Coronavirus during the First Eight Months of COVID-19 in 2020

2021 ◽  
Vol 18 (3) ◽  
pp. 952 ◽  
Author(s):  
Leonardo B. Furstenau ◽  
Bruna Rabaioli ◽  
Michele Kremer Sott ◽  
Danielli Cossul ◽  
Mariluza Sott Bender ◽  
...  
Keyword(s):  
Decision Making ◽  
Network Analysis ◽  
Web Of Science ◽  
Future Research ◽  
Future Trends ◽  
Damage Prevention ◽  
Over Time ◽  
The Web

The COVID-19 pandemic has affected all aspects of society. Researchers worldwide have been working to provide new solutions to and better understanding of this coronavirus. In this research, our goal was to perform a Bibliometric Network Analysis (BNA) to investigate the strategic themes, thematic evolution structure and trends of coronavirus during the first eight months of COVID-19 in the Web of Science (WoS) database in 2020. To do this, 14,802 articles were analyzed, with the support of the SciMAT software. This analysis highlights 24 themes, of which 11 of the more important ones were discussed in-depth. The thematic evolution structure shows how the themes are evolving over time, and the most developed and future trends of coronavirus with focus on COVID-19 were visually depicted. The results of the strategic diagram highlight ‘CHLOROQUINE’, ‘ANXIETY’, ‘PREGNANCY’ and ‘ACUTE-RESPIRATORY-SYNDROME’, among others, as the clusters with the highest number of associated citations. The thematic evolution. structure presented two thematic areas: “Damage prevention and containment of COVID-19” and “Comorbidities and diseases caused by COVID-19”, which provides new perspectives and futures trends of the field. These results will form the basis for future research and guide decision-making in coronavirus focused on COVID-19 research and treatments.

Has Lean improved organizational decision making?

2016 ◽  
Vol 29 (5) ◽  
pp. 536-549 ◽  
Author(s):  
Pascale Simons ◽  
Jos Benders ◽  
Jochen Bergs ◽  
Wim Marneffe ◽  
Dominique Vandijck
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Lean Management ◽  
Structured Interviews ◽  
Organizational Decision Making ◽  
Content Type ◽  
Organizational Contexts ◽  
Sustainable Improvement ◽  
Care Processes ◽  
Practical Implications

Purpose – Sustainable improvement is likely to be hampered by ambiguous objectives and uncertain cause-effect relations in care processes (the organization’s decision-making context). Lean management can improve implementation results because it decreases ambiguity and uncertainties. But does it succeed? Many quality improvement (QI) initiatives are appropriate improvement strategies in organizational contexts characterized by low ambiguity and uncertainty. However, most care settings do not fit this context. The purpose of this paper is to investigate whether a Lean-inspired change program changed the organization’s decision-making context, making it more amenable for QI initiatives. Design/methodology/approach – In 2014, 12 professionals from a Dutch radiotherapy institute were interviewed regarding their perceptions of a Lean program in their organization and the perceived ambiguous objectives and uncertain cause-effect relations in their clinical processes. A survey (25 questions), addressing the same concepts, was conducted among the interviewees in 2011 and 2014. The structured interviews were analyzed using a deductive approach. Quantitative data were analyzed using appropriate statistics. Findings – Interviewees experienced improved shared visions and the number of uncertain cause-effect relations decreased. Overall, more positive (99) than negative Lean effects (18) were expressed. The surveys revealed enhanced process predictability and standardization, and improved shared visions. Practical implications – Lean implementation has shown to lead to greater transparency and increased shared visions. Originality/value – Lean management decreased ambiguous objectives and reduced uncertainties in clinical process cause-effect relations. Therefore, decision making benefitted from Lean increasing QI’s sustainability.

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