scholarly journals Algorithmic management in a work context

2021 ◽  
Vol 8 (2) ◽  
pp. 205395172110203
Author(s):  
Mohammad Hossein Jarrahi ◽  
Gemma Newlands ◽  
Min Kyung Lee ◽  
Christine T. Wolf ◽  
Eliscia Kinder ◽  
...  
Keyword(s):  
Information Exchange ◽  
Rapid Development ◽  
Machine Learning Algorithms ◽  
Organizational Level ◽  
Future Research ◽  
Power Dynamics ◽  
Work Processes ◽  
Work Settings ◽  
Standard Work ◽  
Management Functions

The rapid development of machine-learning algorithms, which underpin contemporary artificial intelligence systems, has created new opportunities for the automation of work processes and management functions. While algorithmic management has been observed primarily within the platform-mediated gig economy, its transformative reach and consequences are also spreading to more standard work settings. Exploring algorithmic management as a sociotechnical concept, which reflects both technological infrastructures and organizational choices, we discuss how algorithmic management may influence existing power and social structures within organizations. We identify three key issues. First, we explore how algorithmic management shapes pre-existing power dynamics between workers and managers. Second, we discuss how algorithmic management demands new roles and competencies while also fostering oppositional attitudes toward algorithms. Third, we explain how algorithmic management impacts knowledge and information exchange within an organization, unpacking the concept of opacity on both a technical and organizational level. We conclude by situating this piece in broader discussions on the future of work, accountability, and identifying future research steps.

scholarly journals Reasons (not) to Spend a Few Billions More on EHRs: How Human Factors Research Can Help

2014 ◽  
Vol 23 (01) ◽  
pp. 90-96 ◽  
Author(s):  
X. Aimé ◽  
G. Declerck ◽  
Keyword(s):  
Human Factors ◽  
Information Exchange ◽  
Organizational Level ◽  
Work Processes ◽  
Use Patterns ◽  
Manual Search ◽  
Organizational Issues ◽  
Care Processes ◽  
Ehr Adoption ◽  
Adoption Design

Summary Objectives: To select best medical informatics research works published in 2013 on electronic health record (EHR) adoption, design, and impact, from the perspective of human factors and organizational issues (HFOI). Methods: We selected 2,764 papers by querying PubMed (Mesh and TIAB) as well as using a manual search. Papers were evaluated based on pre-defined exclusion and inclusion criteria from their title, keywords, and abstract to select 15 candidate best papers, finally reviewed by 4 external reviewers using a standard evaluation grid. Results: Five papers were selected as best papers to illustrate how human factors approaches can improve EHR adoption and design. Among other contributions, these works: (i) make use of the observational and analysis methodologies of social and cognitive sciences to understand clinicians’ attitudes towards EHRs, EHR use patterns, and impact on care processes, workflows, information exchange, and coordination of care; (ii) take into account macro- (environmental) and meso- (organizational) level factors to analyze EHR adoption or lack thereof; (iii) highlight the need for qualitative studies to analyze the unexpected side effects of EHRs on cognitive and work processes as well as the persistent use of paper. Conclusion: Selected papers tend to demonstrate that HFOI approaches and methodologies are essential to bridge the gap between EHR systems and end users, and to reduce regularly reported adoption failures and unexpected consequences.

Antecedents and Consequences of Gossip in Work Groups

2019 ◽  
pp. 416-434
Author(s):  
Bianca Beersma ◽  
Gerben A. van Kleef ◽  
Maria T. M. Dijkstra
Keyword(s):  
Social Order ◽  
Information Exchange ◽  
Work Groups ◽  
Psychological Theory ◽  
Future Research ◽  
Group Norms ◽  
Group Effectiveness ◽  
Interpersonal Aggression ◽  
Different Types ◽  
Antecedents And Consequences

This chapter provides an overview of the antecedents and consequences of gossip in work groups. First, the chapter reviews the different motives for gossip in work groups (i.e., bonding, entertainment, emotional venting, information exchange, maintenance of group norms/social order, and interpersonal aggression) and links each motive to psychological theory. Second, the chapter reviews the different types of influence that gossip can have on various indicators of group effectiveness. Reflecting on the motives underlying gossip in work groups, as well as on its outcomes, it argues that future research should start integrating the diverse insights provided by earlier research on both gossip motives and outcomes, and it provides a number of suggestions for doing so.

scholarly journals Identity in transition: an interpretative phenomenological analysis of international humanitarian workers’ experiences of returning home

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Emilia Marie Wersig ◽  
Kevin Wilson-Smith
Keyword(s):  
Interpretative Phenomenological Analysis ◽  
Phenomenological Analysis ◽  
Moral Values ◽  
Future Research ◽  
Aid Workers ◽  
Structured Interviews ◽  
Work Settings ◽  
Returning Home ◽  
The Uk ◽  
Humanitarian Work

AbstractThis interpretative phenomenological analysis explores aid workers’ understanding of identity and belonging through the transition from working in humanitarian aid to returning home. Semi-structured interviews were conducted with 10 participants who had returned to the UK after working in recently founded non-governmental organisations in Northern France between 2016 and 2019. Analysis of interview data identified four superordinate themes: (1) shared humanitarian identity, (2) limits and borders, (3) holding on to humanitarian identity and (4) redefining belonging and identity. Aid workers’ belonging in humanitarian work settings is rooted in shared moral values and being able to fulfil a clearly defined role. Upon returning, aid workers struggled to reintegrate, manifesting as denial of having left humanitarian work, re-creation of the social setting and moral demarcation. Participants formed a new sense of belonging through redefining their social in-group. The study sheds light on a previously unexplored area of research, specifically characterised through the closeness of the international humanitarian setting and participants’ homes. Findings suggest organisations can assist aid workers’ re-entry by supporting professional distance in the field, and through opportunities that allow to sustain moral values post-mission. Future research should focus on the role of peer support in the re-entry process and the re-entry experiences of aid workers returning from comparable settings further afield (e.g. Greece).

scholarly journals Distributed Ledger Technology Applications in Food Supply Chains: A Review of Challenges and Future Research Directions

2021 ◽  
Vol 13 (8) ◽  
pp. 4206
Author(s):  
Jamilya Nurgazina ◽  
Udsanee Pakdeetrakulwong ◽  
Thomas Moser ◽  
Gerald Reiner
Keyword(s):  
Supply Chains ◽  
Food Supply ◽  
Information Exchange ◽  
Security And Privacy ◽  
Future Research ◽  
Research Directions ◽  
Practical Applications ◽  
Food Supply Chains ◽  
Distributed Ledger ◽  
Future Research Directions

The lack of transparency and traceability in food supply chains (FSCs) is raising concerns among consumers and stakeholders about food information credibility, food quality, and safety. Insufficient records, a lack of digitalization and standardization of processes, and information exchange are some of the most critical challenges, which can be tackled with disruptive technologies, such as the Internet of Things (IoT), blockchain, and distributed ledger technologies (DLTs). Studies provide evidence that novel technological and sustainable practices in FSCs are necessary. This paper aims to describe current practical applications of DLTs and IoT in FSCs, investigating the challenges of implementation, and potentials for future research directions, thus contributing to achievement of the United Nations’ Sustainable Development Goals (SDGs). Within a systematic literature review, the content of 69 academic publications was analyzed, describing aspects of implementation and measures to address the challenges of scalability, security, and privacy of DLT, and IoT solutions. The challenges of high costs, standardization, regulation, interoperability, and energy consumption of DLT solutions were also classified as highly relevant, but were not widely addressed in literature. The application of DLTs in FSCs can potentially contribute to 6 strategic SDGs, providing synergies and possibilities for more sustainable, traceable, and transparent FSCs.

scholarly journals IoT Cloud Security Review

2021 ◽  
Vol 54 (4) ◽  
pp. 1-36
Author(s):  
Fei Chen ◽  
Duming Luo ◽  
Tao Xiang ◽  
Ping Chen ◽  
Junfeng Fan ◽  
...  
Keyword(s):  
Case Studies ◽  
Service Providers ◽  
Risk Mitigation ◽  
Rapid Development ◽  
Security Analysis ◽  
Cloud Security ◽  
Future Research ◽  
Security Risk ◽  
Research Attention ◽  
Cloud Systems

Recent years have seen the rapid development and integration of the Internet of Things (IoT) and cloud computing. The market is providing various consumer-oriented smart IoT devices; the mainstream cloud service providers are building their software stacks to support IoT services. With this emerging trend even growing, the security of such smart IoT cloud systems has drawn much research attention in recent years. To better understand the emerging consumer-oriented smart IoT cloud systems for practical engineers and new researchers, this article presents a review of the most recent research efforts on existing, real, already deployed consumer-oriented IoT cloud applications in the past five years using typical case studies. Specifically, we first present a general model for the IoT cloud ecosystem. Then, using the model, we review and summarize recent, representative research works on emerging smart IoT cloud system security using 10 detailed case studies, with the aim that the case studies together provide insights into the insecurity of current emerging IoT cloud systems. We further present a systematic approach to conduct a security analysis for IoT cloud systems. Based on the proposed security analysis approach, we review and suggest potential security risk mitigation methods to protect IoT cloud systems. We also discuss future research challenges for the IoT cloud security area.

scholarly journals Pituitary Apoplexy Causing Compression of Third Cranial Nerve—Management

2019 ◽  
Vol 08 (02) ◽  
pp. 119-122
Author(s):  
Václav Masopust
Keyword(s):  
Cavernous Sinus ◽  
Nerve Palsy ◽  
Clinical Symptoms ◽  
Rapid Development ◽  
Sella Turcica ◽  
Oculomotor Nerve ◽  
Oculomotor Nerve Palsy ◽  
Future Research ◽  
Third Nerve Palsy ◽  
Increased Pressure

AbstractLesions of the oculomotor nerve as the first sign of pituitary adenoma are rare. The cause of such lesions without other clinical symptoms is discussed in this study. A small cohort of 4 patients (3.1%) with oculomotor nerve palsy (third nerve palsy) as the only neurologic deficit, from 129 patients who got operated upon for pituitary adenomas, is presented. In this group (mean age: 55 years, range: 36–65 years), all patients (two women and two men) underwent surgery. In two cases, there was arrested pneumatization and thickened bone. In the remaining two cases, a macroscopically visible, very solid opaque diaphragm was present, after the removal of the tumor and thickened bone. Complete adjustment was observed in all patients within 1 week after the surgery. Two factors that seem to increase the high risk for the development of oculomotor nerve palsy are that the cavernous sinus may be the only weak structure surrounding the sella turcica when the diaphragm and bone are thickened; and the rapid development of increased pressure in this region. The increased pressure on the cavernous sinus during the anatomical variations is the primary cause for lesions on the oculomotor nerve. However, this conjecture cannot be statistically demonstrated because of the small number of cases. Future research should be conducted on larger samples to increase statistical inference and generalizability.

scholarly journals A Comprehensive Survey on Cyber-Physical Smart Grid Testbed Architectures: Requirements and Challenges

Electronics ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 1043
Author(s):  
Abdallah A. Smadi ◽  
Babatunde Tobi Ajao ◽  
Brian K. Johnson ◽  
Hangtian Lei ◽  
Yacine Chakhchoukh ◽  
...  
Keyword(s):  
Smart Grid ◽  
Real Time ◽  
Smart Grids ◽  
Data Exchange ◽  
Information Technologies ◽  
New Technologies ◽  
Rapid Development ◽  
Environmental Benefits ◽  
Future Research ◽  
Time Data

The integration of improved control techniques with advanced information technologies enables the rapid development of smart grids. The necessity of having an efficient, reliable, and flexible communication infrastructure is achieved by enabling real-time data exchange between numerous intelligent and traditional electrical grid elements. The performance and efficiency of the power grid are enhanced with the incorporation of communication networks, intelligent automation, advanced sensors, and information technologies. Although smart grid technologies bring about valuable economic, social, and environmental benefits, testing the combination of heterogeneous and co-existing Cyber-Physical-Smart Grids (CP-SGs) with conventional technologies presents many challenges. The examination for both hardware and software components of the Smart Grid (SG) system is essential prior to the deployment in real-time systems. This can take place by developing a prototype to mimic the real operational circumstances with adequate configurations and precision. Therefore, it is essential to summarize state-of-the-art technologies of industrial control system testbeds and evaluate new technologies and vulnerabilities with the motivation of stimulating discoveries and designs. In this paper, a comprehensive review of the advancement of CP-SGs with their corresponding testbeds including diverse testing paradigms has been performed. In particular, we broadly discuss CP-SG testbed architectures along with the associated functions and main vulnerabilities. The testbed requirements, constraints, and applications are also discussed. Finally, the trends and future research directions are highlighted and specified.

Bibliometric analysis and critical review of the research on big data in the construction industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yusheng Lu ◽  
Jiantong Zhang
Keyword(s):  
Big Data ◽  
Construction Industry ◽  
Bibliometric Analysis ◽  
Critical Review ◽  
Rapid Development ◽  
Heterogeneous Data ◽  
The Body ◽  
Future Research ◽  
Temporal And Spatial Distribution ◽  
Content Type

PurposeThe digital revolution and the use of big data (BD) in particular has important applications in the construction industry. In construction, massive amounts of heterogeneous data need to be analyzed to improve onsite efficiency. This article presents a systematic review and identifies future research directions, presenting valuable conclusions derived from rigorous bibliometric tools. The results of this study may provide guidelines for construction engineering and global policymaking to change the current low-efficiency of construction sites.Design/methodology/approachThis study identifies research trends from 1,253 peer-reviewed papers, using general statistics, keyword co-occurrence analysis, critical review, and qualitative-bibliometric techniques in two rounds of search.FindingsThe number of studies in this area rapidly increased from 2012 to 2020. A significant number of publications originated in the UK, China, the US, and Australia, and the smallest number from one of these countries is more than twice the largest number in the remaining countries. Keyword co-occurrence is divided into three clusters: BD application scenarios, emerging technology in BD, and BD management. Currently developing approaches in BD analytics include machine learning, data mining, and heuristic-optimization algorithms such as graph convolutional, recurrent neural networks and natural language processes (NLP). Studies have focused on safety management, energy reduction, and cost prediction. Blockchain integrated with BD is a promising means of managing construction contracts.Research limitations/implicationsThe study of BD is in a stage of rapid development, and this bibliometric analysis is only a part of the necessary practical analysis.Practical implicationsNational policies, temporal and spatial distribution, BD flow are interpreted, and the results of this may provide guidelines for policymakers. Overall, this work may develop the body of knowledge, producing a reference point and identifying future development.Originality/valueTo our knowledge, this is the first bibliometric review of BD in the construction industry. This study can also benefit construction practitioners by providing them a focused perspective of BD for emerging practices in the construction industry.

Multiteam systems as integrated networks for engaging ambidexterity as dynamic capabilities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Benjamin P. Dean
Keyword(s):  
Dynamic Capabilities ◽  
Dynamic Environment ◽  
Task Demands ◽  
Organizational Level ◽  
Future Research ◽  
Integrated Networks ◽  
Content Type ◽  
Systems Model ◽  
Near Term

PurposeThis inquiry aims to determine the features and mechanisms that specially enable a multiteam system (MTS) to develop ambidexterity that can deal effectively with rapid changes in dynamic environments. The MTS is an emerging organizational unit comprised of tightly integrated networks of teams that may originate from one or more firms. The inquiry also considered how an MTS can engage those features and mechanisms to maximize ambidexterity as dynamic capabilities for increased innovation and long-term adaptation under complex, volatile conditions.Design/methodology/approachThis conceptual inquiry integrates the emerging research on MTSs with theory and studies relating to ambidexterity and dynamic capabilities. This inquiry focuses on the attributes and linkages that specially characterize an MTS. It analyzes these to determine the key mechanisms and interactions enabling and engaging ambidexterity at MTS unit level.FindingsMTSs can engage powerful mechanisms for ambidexterity functioning as dynamic capabilities at meso-organizational level. The attributes and linkages that distinguish an MTS from other units enable it to deal effectively and efficiently with near-term task demands by simultaneously balancing the essential tasks of exploration and exploitation, and by being able to rapidly adapt by reconfiguring taskwork and reallocating resources as required for sustainable innovation and long-term success within a dynamic environment.Practical implicationsThis inquiry provides valuable insights for designing MTSs that are equipped with selected teams, flexible memberships, specialized skills and permeable interfaces. Autonomy for an MTS allows the unit to span internal and external organizational boundaries to gain access to new discoveries and to exchange information and material resources for increased innovation. Ambidexterity as dynamic capabilities facilitates exploitation of current resources by efficiently reconfiguring taskwork and reallocating materials for adaptation and competitive advantage.Originality/valueThis inquiry appears to represent the most integrative effort to examine the underexplored potential of MTSs for developing and engaging ambidexterity functioning as dynamic capabilities. The inquiry appears to be a first effort at articulating a concept of MTS ambidexterity distinct from organizational ambidexterity. The analysis synthesizes a systems model that guides organizational leaders and opens new opportunities for future research.

Myoelectric Control of Robotic Leg Prostheses and Exoskeletons: A Review

2021 ◽  
Author(s):  
Ali Nasr ◽  
Brokoslaw Laschowski ◽  
John McPhee
Keyword(s):  
Control Systems ◽  
Myoelectric Control ◽  
Machine Learning Algorithms ◽  
Torque Control ◽  
Future Research ◽  
Reactive Control ◽  
Rhythmic Movements ◽  
Myoelectric Signals ◽  
Joint Torques ◽  
Robotic Leg

Abstract Myoelectric signals from the human motor control system can improve the real-time control and neural-machine interface of robotic leg prostheses and exoskeletons for different locomotor activities (e.g., walking, sitting down, stair ascent, and non-rhythmic movements). Here we review the latest advances in myoelectric control designs and propose future directions for research and innovation. We review the different wearable sensor technologies, actuators, signal processing, and pattern recognition algorithms used for myoelectric locomotor control and intent recognition, with an emphasis on the hierarchical architectures of volitional control systems. Common mechanisms within the control architecture include 1) open-loop proportional control with fixed gains, 2) active-reactive control, 3) joint mechanical impedance control, 4) manual-tuning torque control, 5) adaptive control with varying gains, and 6) closed-loop servo actuator control. Based on our review, we recommend that future research consider using musculoskeletal modeling and machine learning algorithms to map myoelectric signals from surface electromyography (EMG) to actuator joint torques, thereby improving the automation and efficiency of next-generation EMG controllers and neural interfaces for robotic leg prostheses and exoskeletons. We also propose an example model-based adaptive impedance EMG controller including muscle and multibody system dynamics. Ongoing advances in the engineering design of myoelectric control systems have implications for both locomotor assistance and rehabilitation.

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