scholarly journals Time Granularity Impact on Propagation of Disruptions in a System-of-Systems Simulation of Infrastructure and Business Networks

2021 ◽  
Vol 18 (8) ◽  
pp. 3922
Author(s):  
Mateusz Iwo Dubaniowski ◽  
Hans Rudolf Heinimann
Keyword(s):  
Recovery Time ◽  
System Of Systems ◽  
Future Research ◽  
Business Networks ◽  
Simulation Experiments ◽  
Huge Impact ◽  
High Level ◽  
Systems Simulation ◽  
Different Characteristics ◽  
The Impact

A system-of-systems (SoS) approach is often used for simulating disruptions to business and infrastructure system networks allowing for integration of several models into one simulation. However, the integration is frequently challenging as each system is designed individually with different characteristics, such as time granularity. Understanding the impact of time granularity on propagation of disruptions between businesses and infrastructure systems and finding the appropriate granularity for the SoS simulation remain as major challenges. To tackle these, we explore how time granularity, recovery time, and disruption size affect the propagation of disruptions between constituent systems of an SoS simulation. To address this issue, we developed a high level architecture (HLA) simulation of three networks and performed a series of simulation experiments. Our results revealed that time granularity and especially recovery time have huge impact on propagation of disruptions. Consequently, we developed a model for selecting an appropriate time granularity for an SoS simulation based on expected recovery time. Our simulation experiments show that time granularity should be less than 1.13 of expected recovery time. We identified some areas for future research centered around extending the experimental factors space.

scholarly journals Time Granularity Impact on Propagation of Disruptions in a System-of-Systems Simulation of Infrastructure and Business Networks

2021 ◽  
Author(s):  
Mateusz Iwo Dubaniowski ◽  
Hans Rudolf Heinimann
Keyword(s):  
Recovery Time ◽  
System Of Systems ◽  
Future Research ◽  
Business Networks ◽  
Simulation Experiments ◽  
Huge Impact ◽  
High Level ◽  
Systems Simulation ◽  
Different Characteristics ◽  
The Impact

System-of-systems (SoS) approach is often used for simulating disruptions to business and infrastructure system networks allowing for integration of several models into one simulation. However, the integration is frequently challenging as each system is designed individually with different characteristics, such as time granularity. Understanding the impact of time granularity on propagation of disruptions between businesses and infrastructure systems and finding the appropriate granularity for the SoS simulation remain as major challenges. To tackle these, we explore how time granularity, recovery time, and disruption size affect the propagation of disruptions between constituent systems of an SoS simulation. To address this issue, we developed a High Level Architecture (HLA) simulation of 3 networks and performed a series of simulation experiments. Our results revealed that time granularity and especially recovery time have huge impact on propagation of disruptions. Consequently, we developed a model for selecting an appropriate time granularity for an SoS simulation based on expected recovery time. Our simulation experiments show that time granularity should be less than 1.13 of expected recovery time. We identified some areas for future research centered around extending the experimental factors space.

The Impact of the Privacy Rule on Cancer Research: Variations in Attitudes and Application of Regulatory Standards

2009 ◽  
Vol 27 (24) ◽  
pp. 4014-4020 ◽  
Author(s):  
Elizabeth Goss ◽  
Michael P. Link ◽  
Suanna S. Bruinooge ◽  
Theodore S. Lawrence ◽  
Joel E. Tepper ◽  
...  
Keyword(s):  
Cancer Research ◽  
Future Research ◽  
Research Committee ◽  
Data Repositories ◽  
Privacy Rule ◽  
Regulatory Standards ◽  
American Society ◽  
Definition Of ◽  
High Level ◽  
The Impact

Purpose The American Society of Clinical Oncology (ASCO) Cancer Research Committee designed a qualitative research project to assess the attitudes of cancer researchers and compliance officials regarding compliance with the US Privacy Rule and to identify potential strategies for eliminating perceived or real barriers to achieving compliance. Methods A team of three interviewers asked 27 individuals (13 investigators and 14 compliance officials) from 13 institutions to describe the anticipated approach of their institutions to Privacy Rule compliance in three hypothetical research studies. Results The interviews revealed that although researchers and compliance officials share the view that patients' cancer diagnoses should enjoy a high level of privacy protection, there are significant tensions between the two groups related to the proper standards for compliance necessary to protect patients. The disagreements are seen most clearly with regard to the appropriate definition of a “future research use” of protected health information in biospecimen and data repositories and the standards for a waiver of authorization for disclosure and use of such data. Conclusion ASCO believes that disagreements related to compliance and the resulting delays in certain projects and abandonment of others might be eased by additional institutional training programs and consultation on Privacy Rule issues during study design. ASCO also proposes the development of best practices documents to guide 1) creation of data repositories, 2) disclosure and use of data from such repositories, and 3) the design of survivorship and genetics studies.

Impact of web banner advertising frequency on attitude

2018 ◽  
Vol 30 (2) ◽  
pp. 380-399 ◽  
Author(s):  
Rahim Hussain ◽  
Ahmed Shahriar Ferdous ◽  
Gillian Sullivan Mort
Keyword(s):  
Online Advertising ◽  
Repetition Effect ◽  
Brand Attitude ◽  
Moderating Effect ◽  
Future Research ◽  
Content Type ◽  
Banner Advertisements ◽  
Banner Advertisement ◽  
High Level ◽  
The Impact

Purpose The purpose of this paper is to examine whether advertising type (static or dynamic) and appeal (emotional or rational) moderate the relationship between web banner advertising frequency and consumer attitudinal response. Design/methodology/approach A laboratory experiment involving 400 participants was conducted to test for the moderating effect. Factorial ANOVA is used to measure brand attitude. Findings The results identified that the web banner advertisement type acted as a moderator between frequency and brand attitude. However, the moderating effect of banner advertisement appeal was found to be insignificant at a single banner advertisement frequency (i.e. exposure) but significantly different at a higher frequency. The study findings provide better directives for online marketers. Practical implications The major limitation is the fact that the impact of banner advertisement frequency was manipulated from one to five exposures. Future research needs to determine what happens after the fifth exposure, perhaps ten exposures or more, to determine the wear-out effect and in turn, to decide on the optimal frequency level in an effort to design more appropriate web communication strategies. Social implications The result shows that pop-up banner advertisements are intrusive, and that high level of exposures to pop-up banner advertisement could annoy online users. Thus, online advertisers should avoid repeating the pop-up banner advertisements because this could adversely affect the attitude towards the online advertising in general, and could also negatively influence attitudes towards the brand and ultimately effect online purchase. Originality/value This study contributes to the theory by providing more insights into the repetition effect, and comprehensive conclusions can be drawn based on the manipulation of banner advertisement frequency on different frequency levels. The research identifies that if the communication objective is to generate brand attitude, different strategies can be adopted depending on the banner advertisement type (pop-up vs static) and banner advertisement appeal (emotional vs rational).

Knowledge Sharing From Employee's Perspective

2019 ◽  
pp. 1-20 ◽  
Author(s):  
Jianping Peng ◽  
Jing ("Jim") Quan ◽  
Guoying Zhang ◽  
Alan J. Dubinsky
Keyword(s):  
Social Network ◽  
Knowledge Sharing ◽  
Social Relationship ◽  
Contextual Performance ◽  
Survey Study ◽  
Interpersonal Interaction ◽  
Future Research ◽  
Professional Employees ◽  
High Level ◽  
The Impact

This chapter combines three less-studied factors on employee knowledge sharing, namely, social relationship, contextual performance, and IT competence. Using a survey study that was targeted to professional employees in a R&D department, we reveal that both social relationship—which incorporates degree of centrality of employee's social network and frequency of interpersonal interaction—and employee's contextual performance have significant positive impacts on knowledge sharing. This association, however, is found to be further positively moderated by employee's IT competence. Our work extends the literature pertaining to knowledge sharing by, not only providing an enhanced approach to measure social relationship, but also emphasizing that social relationship or contextual performance can magnify the impact on knowledge sharing through a high level of IT competence. The findings provide managerial and future research insights pertaining to promoting knowledge sharing by enhancing social relationship, rewarding contextual performance, and improving IT competence of employees.

Software Components

2010 ◽  
pp. 351-363
Author(s):  
Adnan Bader ◽  
Sita Ramakrishnan
Keyword(s):  
Trust Model ◽  
Future Research ◽  
Software Systems ◽  
Software Components ◽  
Object Oriented Design ◽  
Development Lifecycle ◽  
Software Development Lifecycle ◽  
Component Based Software Engineering ◽  
Different Characteristics ◽  
The Impact

Component-based software engineering (CBSE) has rapidly gained currency over recent years. Software developed as components and as assemblies of components has realised the reuse slogan originally associated with object-oriented design. In this chapter we define what software components are along with their different characteristics and classifications. We also cover the widely debated definitions of software components to emphasise the fact that components possess different properties that can mean different things to different people. We discuss the impact of using components on the software development lifecycle and review a number of different approaches developed to procure and integrate components in software systems. Finally, the risks associated with using software components are discussed in detail with along with a trust model. Trends in CBSE research are discussed towards the end to explore some potential areas of future research.

scholarly journals Situating Second-Year Success: Understanding Second-Year STEM Experiences at a Liberal Arts College

2016 ◽  
Vol 15 (3) ◽  
pp. ar43 ◽  
Author(s):  
Leslie Gregg-Jolly ◽  
Jim Swartz ◽  
Ellen Iverson ◽  
Joyce Stern ◽  
Narren Brown ◽  
...  
Keyword(s):  
Liberal Arts ◽  
Student Attitudes ◽  
Future Research ◽  
Success Rates ◽  
Science Courses ◽  
Perceptions And Attitudes ◽  
Second Year ◽  
And Mathematics ◽  
High Level ◽  
The Impact

Challenges particular to second-year students have been identified that can impact persistence in science, technology, engineering, and mathematics (STEM) fields. We implemented a program to improve student success in intermediate-level science courses by helping students to feel they belonged and could succeed in STEM. We used survey measures of perceptions and attitudes and then qualitative measures to characterize the impact of support strategies, including peer mentoring, a second-year science student retreat, learning and advising support resources, and department-specific activities. Analysis of registration and transcript information revealed underperformance by students of color (SOC) and first-generation (FG) students in 200-level science courses. Comparison of these data before and during programming revealed significant improvement in success rates of these students in 200-level biology and chemistry courses, but success rates of SOC and FG students remain lower than the overall rate for 200-level science courses. Contemporaneous with the program, qualitative and quantitative measures of student attitudes revealed a high level of belongingness and support. The results suggest that a focus on students’ metacognition about their own abilities and strategic knowledge of how to succeed may be a fruitful direction for future research.

scholarly journals Awareness of eSafety and Potential Online Dangers among Children and Teenagers

10.28945/3864 ◽  
2017 ◽  
Vol 16 ◽  
pp. 319-338 ◽  
Author(s):  
Gila Cohen Zilka
Keyword(s):  
Internet Use ◽  
Leisure Activities ◽  
Individual Case ◽  
Future Research ◽  
The Internet ◽  
Future Studies ◽  
Use Of The Internet ◽  
High Level ◽  
And Behavior ◽  
The Impact

Aim/Purpose: Awareness of eSafety and potential online dangers for children and teenagers. Background The study examined eSafety among children and teenagers from their own perspectives, through evaluations of their awareness level of eSafety and of potential online dangers. Methodology: This is a mixed-method study with both quantitative and qualitative elements. The study includes questionnaires and interviews. A total of 345 participants from Israel completed questionnaires; 90 children and teenagers were interviewed from among the participants. Contribution: The study examined the awareness of children and youths of safe online surfing. It also examined the degree of exposure of children and youths to positive and negative aspects of the Internet. This study illustrates the dual potential of Internet use within the context of eSafety, as seen through the eyes of children and teenagers. Characteristics of use of the Internet are liable to increase the danger to and the bullying of youths and by youths in the digital domain. It also demonstrates the promises of using the Internet for productive learning and leisure activities. Findings: Findings show that the children and teenagers who participated in the study reported a medium-high level of awareness. Issues that participants were concerned about included avoiding contact with strangers and cyberbullying, not necessarily by strangers, but also by friends. Recommendations for Practitioners : It is important to examine how children perceive online events for the purpose of examining their statements regarding eSafety and the way they view problematic or dangerous online events, as well as how they believe they can cope with them. Recommendation for Researchers: The study recommends incorporating in future studies individual case studies and allowing participants to express how they perceive complex online situations. Impact on Society: This study illustrates the dual potential, positive and negative aspects, of Internet use within the context of eSafety, as seen through the eyes of children and teenagers. Future Research: Future studies should track changing eSafety awareness and behavior longitudinally to identify the impact of maturation and experience on their behavior and attitudes.

Off the Court: Examining Social Media Activity and Engagement in Women’s Professional Sport

2021 ◽  
pp. 1-10
Author(s):  
Megan C. Piché ◽  
Michael L. Naraine
Keyword(s):  
Social Media ◽  
National Basketball Association ◽  
Professional Sport ◽  
Future Research ◽  
Women's Sport ◽  
Starting Point ◽  
Women's National Basketball Association ◽  
Use Of Social Media ◽  
High Level ◽  
The Impact

Sports organizations’ use of social media (SM) has become a key strategy in the coverage and promotion of sport. Although research has been done on the success of digital marketing for men’s professional sport, little is known about the impact of such in women’s sport. This study aimed to examine the SM activity and engagement with fans of the Women’s National Basketball Association. All posts from Facebook, Instagram, and Twitter for the 2019 calendar year were collected from all 12 Women’s National Basketball Association teams and analyzed, in aggregate, for their SM metrics. Results indicated that there was a high level of interaction on SM during the in-season competition months, whereas engagement during the off-season period declined. Given these results, the Women’s National Basketball Association should create strategies to increase fan engagement when there is decreased interactivity to perpetually promote women’s sport. This research provides a starting point for future research on women’s sport involving SM metrics.

Design Heuristics for Additive Manufacturing Validated Through a User Study1

2019 ◽  
Vol 141 (4) ◽  
Author(s):  
Alexandra Blösch-Paidosh ◽  
Kristina Shea
Keyword(s):  
Additive Manufacturing ◽  
Future Research ◽  
Original Design ◽  
Design Heuristics ◽  
The Media ◽  
Novice Designers ◽  
Traditional Manufacturing ◽  
High Level ◽  
Independent Design ◽  
The Impact

Additive manufacturing (AM) has unique capabilities when compared to traditional manufacturing, such as shape, hierarchical, functional, and material complexity, a fact that has fascinated those in research, industry, and the media for the last decade. Consequently, designers would like to know how they can incorporate AM's special capabilities into their designs but are often at a loss as how to do so. Design for additive manufacturing (DfAM) methods are currently in development, but the vast majority of existing methods are not tailored to the needs and knowledge of designers in the early stages of the design process. Therefore, we propose a set of process-independent design heuristics for AM aimed at transferring the high-level knowledge necessary for reasoning about functions, configurations, and parts to designers. Twenty-nine design heuristics for AM are derived from 275 AM artifacts. An experiment is designed to test their efficacy in the context of a redesign scenario with novice designers. The heuristics are found to positively influence the designs generated by the novice designers and are found to be more effective at communicating DfAM concepts in the early phases of redesign than a lecture on DfAM alone. Future research is planned to validate the impact with expert designers and in original design scenarios.

scholarly journals Perceptions of the Impact of High-Level-Machine-Intelligence from University Students in Taiwan: The Case for Human Professions, Autonomous Vehicles, and Smart Homes

2019 ◽  
Vol 11 (21) ◽  
pp. 6133
Author(s):  
Su-Yen Chen ◽  
Chiachun Lee
Keyword(s):  
University Students ◽  
Autonomous Vehicles ◽  
Social Intelligence ◽  
Positive Attitude ◽  
Smart Homes ◽  
Machine Intelligence ◽  
Future Research ◽  
Mixed Feelings ◽  
High Level ◽  
The Impact

There is a “timing optimism” that artificial general intelligence will be achieved soon, but some literature has suggested that people have mixed feelings about its overall impact. This study expanded their findings by investigating how Taiwanese university students perceived the overall impact of high-level-machine-intelligence (HLMI) in three areas: a set of 12 human professions, autonomous vehicles, and smart homes. Respondents showed a relatively more positive attitude, with a median answer of “on balance good”, toward HLMI’s development corresponding to those occupations having a higher probability of automation and computerization, and a less positive attitude, with a median of “more or less neutral”, toward professions involving human judgment and social intelligence, and especially creativity, which had a median of “on balance bad”. On the other hand, they presented a highly positive attitude toward the AI application of the smart home, while they demonstrated relatively more reservation toward autonomous vehicles. Gender, area of study, and a computer science background were found as predictors in many cases, whereas traffic benefits, and safety and regulation concerns, among others, were found as the most significant predictors for the overall impact of autonomous vehicles, with comfort and support benefits being the most significant predictor for smart homes. Recommendations for educators, policy makers, and future research were provided.

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