scholarly journals Information and Institutional Choice in Models of Agency Interactions

2021 ◽  
Vol 18 (1) ◽  
pp. 69-86
Author(s):  
O. S. Sukharev ◽  
Keyword(s):  
Information Asymmetry ◽  
Adverse Selection ◽  
Information Exchange ◽  
Information Transfer ◽  
Field Research ◽  
Future Research ◽  
Institutional Choice ◽  
Scientific School ◽  
Common Resource ◽  
Expected Benefits

The paper discusses the neo-institutional approach to the study of agent interactions based on information exchange and the institutional choice for the use of a common resource. The aim of the study is to formalize the model of interaction between two agents exchanging information and finding various modes of such exchange, which are determined by the influence of in-formation transfer of institutions. This enables us to adjust the standard scheme applied to study the institutional choice, which involves the demonstration of the Prisoner’s Dilemma game take and discussion of the example of adverse selection. The research methodology is based on the theory of new institutionalism developed by the Coase-Ostrom scientific school. We expand this approach by removing model constraints and conventions of institutional choice to describe the general theoret-ical provisions covering various institutional situations that are difficult to study only through field research. This research also discusses the questions not taken into account by the above-mentioned methodology: the institutions as a kind of a common resource and behavior of agents in situations where there is no institutional choice or the choice is determined by the criteria other than the expected benefits and costs and not only by a set of normally established situational variables. The proposed model results not only in finding information exchange regimes and the types of adaptation of the correspond-ing agents, but also in the determination of an acceptable decision-making zone within the framework of institutional choice, according to simultaneously applied criteria — an increase in the general welfare, material component of welfare and reduction in information asymmetry. It is shown that the regulatory parameters that correspond to the influence of institutions on the transfer of information from one agent to another can be dependent or not, but affect their respective channels of information transfer in their own way. The adverse selection model is determined not only by information asymmetry, but also by other institutional conditions related to the characteristics of a given market, a third party’s influence on the deal, as opposed to the external effect mechanism. This brings us to the fact that the inherent properties of adverse selection — lowering of the price of goods and quality loss — cease to have effect. Areas of future research may include an expanded application of this model to institutions as a public resource.

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 A Robust Lane Detection Model Using Vertical Spatial Features and Contextual Driving Information

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 708
Author(s):  
Wenbo Liu ◽  
Fei Yan ◽  
Jiyong Zhang ◽  
Tao Deng
Keyword(s):  
Information Exchange ◽  
Information Transfer ◽  
Spatial Information ◽  
Contextual Information ◽  
Great Influence ◽  
Light Condition ◽  
Lane Detection ◽  
Detection Model ◽  
Spatial Features ◽  
Proposed Model

The quality of detected lane lines has a great influence on the driving decisions of unmanned vehicles. However, during the process of unmanned vehicle driving, the changes in the driving scene cause much trouble for lane detection algorithms. The unclear and occluded lane lines cannot be clearly detected by most existing lane detection models in many complex driving scenes, such as crowded scene, poor light condition, etc. In view of this, we propose a robust lane detection model using vertical spatial features and contextual driving information in complex driving scenes. The more effective use of contextual information and vertical spatial features enables the proposed model more robust detect unclear and occluded lane lines by two designed blocks: feature merging block and information exchange block. The feature merging block can provide increased contextual information to pass to the subsequent network, which enables the network to learn more feature details to help detect unclear lane lines. The information exchange block is a novel block that combines the advantages of spatial convolution and dilated convolution to enhance the process of information transfer between pixels. The addition of spatial information allows the network to better detect occluded lane lines. Experimental results show that our proposed model can detect lane lines more robustly and precisely than state-of-the-art models in a variety of complex driving scenarios.

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 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.

Regulation and information asymmetry

2008 ◽  
Vol 16 (1) ◽  
pp. 59-76 ◽  
Author(s):  
Robyn McLaughlin ◽  
Assem Safieddine
Keyword(s):  
Information Asymmetry ◽  
Stock Returns ◽  
Operating Performance ◽  
Cost Benefit ◽  
Future Research ◽  
Information Asymmetries ◽  
Cross Sectional ◽  
Industrial Firms ◽  
Content Type ◽  
Regulated Utilities

PurposeThis paper seeks to examine the potential for regulation to reduce information asymmetries between firm insiders and outside investors.Design/methodology/approachExtensive prior research has established that there are substantial effects of information asymmetry in seasoned equity offers (SEOs). The paper tests for a mitigating effect of regulation on such information asymmetries by examining differences in long‐run operating performance, changes in that performance, and announcement‐period stock returns between unregulated industrial firms and regulated utilities that issue seasoned equity. The authors also segment the samples by firm size, since smaller firms are likely to have greater asymmetries.FindingsConsistent with regulated utility firms having lower levels of information asymmetry, they have superior changes in abnormal operating performance than industrial firms pre‐ to post‐issue and their announcement period returns are significantly less negative. These findings are most pronounced for the smallest firms, firms likely to have the greatest information asymmetries and where regulation could have its greatest effect.Research limitations/implicationsThe paper does not examine costs of regulation. Thus, future research could seek to measure the cost/benefit trade‐off of regulation in reducing information asymmetry. Also, future research could examine cross‐sectional differences between different industries and regulated utilities.Practical implicationsRegulation reduces information asymmetry. Thus, regulation or mandated disclosure may be appropriate in industries/markets where information asymmetry is severe.Originality/valueThis paper is the first to compare the operating performance of regulated and unregulated SEO firms.

scholarly journals Innovation and cross-functional teams

2018 ◽  
Vol 24 (1/2) ◽  
pp. 84-105 ◽  
Author(s):  
Daniel Marasquini Stipp ◽  
Márcio Lopes Pimenta ◽  
Daniel Jugend
Keyword(s):  
Single Case ◽  
Field Research ◽  
Incremental Innovation ◽  
Future Research ◽  
Content Type ◽  
The Public ◽  
Tax Management ◽  
Functional Teams ◽  
Practical Implications

Purpose The aim of this paper is to characterize how innovation may happen through cross-functional teams (CFT) in an organization of the public sector. Design/methodology/approach A case study helped to characterize several behavior patterns, team structures and respective links with generating innovation in internal processes and public answering contexts. Findings The results highlight that formal-temporary teams present a higher capacity to generate incremental innovation in products, whereas permanent-informal teams have a higher capacity to generate innovation in the internal processes and public answering contexts. Research limitations/implications The limitations of this research relate to the fact that this is a single case study, and although it is an important case to examine innovation and CFTs, by its very nature, it is not possible to extend and generalize the obtained data to other organizations. The evaluation of its propositions was merely qualitative, and future research is needed to validate its characteristics. Practical implications Several settings of CFTs are presented, as well as their ability to generate different types of innovation, such as the computerization of documents, petitions and papers, which decreases the time to answer the taxpayer. Moreover, CFTs can help to create products, such as computer programs that can be used not only locally but also in several public organizations related to tax management. Originality/value The field research provides the perceptions of the respondents regarding CFT characteristics that can lead to specific types of innovation, as well as the types of products or services that can be generated by these processes.

Ambiguity in public sector performance measurement: a systematic literature review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chiara Oppi ◽  
Cristina Campanale ◽  
Lino Cinquini
Keyword(s):  
Public Sector ◽  
Literature Review ◽  
Performance Measurement ◽  
Systematic Literature Review ◽  
Field Research ◽  
Future Research ◽  
Academic Journal ◽  
Content Type ◽  
The Public ◽  
Study Results

PurposeThis paper presents a systematic literature review aiming at analysing how research has addressed performance measurement systems’ (PMSs) ambiguities in the public sector. This paper embraces the ambiguity perspective that PMSs in public sector coexist with and cope with existing ambiguities.Design/methodology/approachThe authors conducted a literature review in Scopus and ScienceDirect, considering articles published since 1985, and the authors selected articles published in the journals included in the Association of Business Schools' Academic Journal Guide (Chartered ABS, 2018). Of the 1,278 abstracts that matched the study’s search criteria, the authors selected 131 articles for full reading and 37 articles for the final discussion.FindingsThe study's key findings concern the elements of ambiguity in PMSs discussed in the literature. The study’s results suggest that ambiguity is still a relevant problem in performance measurement, as a problem that is impossible to be solved and therefore needs to be better understood by researchers and public managers. The analysis allows us to summarize the antecedents and consequences of ambiguity in the public sector.Research limitations/implicationsThe key findings of the study concern the main sources of ambiguity in PMSs discussed in the literature, their antecedents and their consequences. The study results suggest that ambiguity exists in performance measurement and that is an issue to be handled with various strategies that can be implemented by managers and employees.Practical implicationsManagers and researchers may benefit from this research as it may represent a guideline to understand ambiguities in their organizations or in field research. Researchers may also benefit from a summary list of the key issues that have been analysed in the empirical cases provided by this research. Social implicationsThis research may provide insights to limit ambiguity and thus contribute to improve performance measurement in the public sector.Originality/valueThis research presents a comprehensive review on the topic. It provides insight that suggests what future research should attend to in helping to interpret ambiguity, considering also what should be done to influence ambiguity.

Geographic information database for the analysis of spatial distribution of the Baikal endemic amphipods in Yenisei river

2018 ◽  
Author(s):  
А.В. Андрианова ◽  
О.Э. Якубайлик
Keyword(s):  
Information Exchange ◽  
Field Research ◽  
Field Studies ◽  
Hydroelectric Power Station ◽  
Hydroelectric Power ◽  
Yenisei River ◽  
Web System ◽  
Geospatial Database ◽  
Software Interfaces ◽  
The Yenisei River

Рассматривается состояние эндемичных байкальских амфипод в р. Енисей, приводятся результаты экспедиционных исследований. Отмечается факт многоразового увеличения количества амфипод в Енисее после зарегулирования плотиной Красноярской ГЭС. Данные гидробиологического мониторинга оформлены в виде геопространственной базы данных на геопортале, который предоставляет возможности визуализации результатов исследований в виде интерактивных тематических карт, прямого доступа к данным через картографические веб-сервисы из современных ГИС. The purpose. The purpose of the work is the theoretical and practical studies of the possibilities for using the geoinformation web-system modern technologies for improving the efficiency of hydrobiological monitoring, and design of software tools of data presentation and analysis for field research. Methods. The technologies for development of distributed information systems in multi-tier architecture, along with software interfaces and protocols, information exchange standards are considered. The possibilities for using of geoinformation and cartographic modelling methods for searching the relationship between the spatial distributions of Baikal amphipods in the Yenisei river with different environmental factors are investigated. Results. The technologies and related software are developed for the considered problem. The geospatial database is generated and filled with the results of own longterm hydrobiological field studies, it has become an integral part of the geoportal of ICM SB RAS, which was formed by the separate thematic section. The focus is on the results of extensive field studies of the Yenisei implemented in 2015 and 2016. As to database content, the information about the quantitative distribution of zoobenthos (animals inhabiting the ponds bottom), in particular endemic Baikal amphipods, in the area from Yenisei river headwaters to its delta was used. It was revealed that the amphipods — the endemics of the Baikal lake — spread far beyond its limits not only downward, but also upstream the Yenisei river. After the commissioning of the Krasnoyarsk hydroelectric power station, their share in the total zoobenthos biomass is increased by 10 times. Gmelinoides fasciatus crustacean is especially active; it has massively populated the area of the Upper Yenisei river below the Sayano-Shushensky reservoir. The density and the fraction of crustaceans in the zoobenthos in the area of the Angara — Podkamennaya Tunguska has increased over the last 15 years. Conclusions. Creation of a geospatial database alongside with the results of expeditionary research and the introduction of a GIS web-system for information-analytical support of hydrobiological monitoring significantly expands opportunities for the analysis and presentation of geodata, forms the basis for interdisciplinary research.

scholarly journals The Influence of YouTube Beauty Vloggers on Indonesian Consumers’ Purchase Intention of Local Cosmetic Products

2020 ◽  
Vol 15 (5) ◽  
pp. 100
Author(s):  
Jui-Lung Chen ◽  
Apritika Dermawan
Keyword(s):  
Social Media ◽  
Information Exchange ◽  
Purchase Intention ◽  
Future Research ◽  
Web Based ◽  
Practical Applications ◽  
Mainstream Media ◽  
Marketing Tool ◽  
Willingness To Purchase ◽  
The Impact

Social media are web-based technology and social platform that involve social, personal and technological factors, which have triggered the development and evolution of website-based communities. Moreover, relevant web-based applications have also become the mainstream media for value creation and information exchange. The proliferation, convenience, and immediacy of social media have attracted many enterprises to adopt social media as a marketing tool. Among them, Electronic Word-of-Mouth (E-WoM), used mostly by vloggers (video bloggers), enables its users to review products and express their opinions on social media. Therefore, E-WoM has gradually become an important source of information for consumers, which influences their purchasing decisions. YouTube, a video sharing platform affiliated with Google, is a popular social media with tons of users. One of its most appealing and popular communities is Beauty Blogger, where beauty vloggers create and upload videos about beauty products. This study explored the impact of YouTube beauty vlogger on the attitude of Indonesian women towards locally made cosmetics and their willingness to purchase them. Based on the research results, relevant conclusions and recommendations were proposed which can be used as a reference for future research and practical applications.

scholarly journals A vivência da morte pela equipe de saúde que atua no setor de oncologia

Bionorte ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 9-19
Author(s):  
Jacina Santos Dias ◽  
Woochiton Ramos Lopes Pereira ◽  
Leonardo Augusto Couto Finelli
Keyword(s):  
Health Professionals ◽  
Field Research ◽  
Death Process ◽  
Future Research ◽  
Continuous Training ◽  
Cross Sectional ◽  
Professional Qualification ◽  
Health Team ◽  
Intervention Models ◽  
The Subject

Objective: Identify the team's difficulties in dealing with the death process of patients under their care. Materials and Methods: the research carried out is classified as exploratory, qualitative, cross-sectional, with a field research design. We interviewed professionals from the health team of the oncology sector, then the data were analyzed from discourse analysisprocedures that sought connections between objects, strategies, concepts and enunciative types. To these data were verified systems of unity and coherence, reached by the analysis of the summary descriptions that were collected. Results: it was verified that there is no preparation offered by the institution so that the professionals learn the best deal with death. Therefore, it is urgent that the question of professional qualification be restored. Conclusion: the need for future research on the subject, which is suggestive of testingproposals and intervention models, such as the continuous training of professionals, is aimed at, among other purposes, the training of health professionals in dealing with process of death and death of its patients.

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