Individual Participation in Organizational Information Commons: The Impact of Team Level Social Influence and Technology-Specific Competence

2005 ◽  
Vol 31 (2) ◽  
pp. 212-240 ◽  
Author(s):  
Y. Yuan
Keyword(s):  
Social Influence ◽  
Information Commons ◽  
Organizational Information ◽  
The Impact ◽  
Individual Participation

Individual Participation in Organizational Information Commons.

2005 ◽  
Vol 31 (2) ◽  
pp. 212-240 ◽  
Author(s):  
Yu Yuan ◽  
Janet Fulk ◽  
Michelle Shumate ◽  
Peter R. Monge ◽  
J. Alison Bryant ◽  
...  
Keyword(s):  
Information Commons ◽  
Organizational Information ◽  
Individual Participation

Technology-Mediated Collaboration, Shared Mental Model and Task Performance

2012 ◽  
Vol 24 (1) ◽  
pp. 64-81 ◽  
Author(s):  
Hayward P. Andres
Keyword(s):  
Social Influence ◽  
Direct Observation ◽  
Mental Model ◽  
Social Impact ◽  
Model Development ◽  
Research Approach ◽  
Team Process ◽  
Shared Mental Model ◽  
Team Productivity ◽  
The Impact

This study takes a direct observation research approach to examine how the impact of collaboration mode on team productivity and process satisfaction is mediated by shared mental model. Team cognition and social impact theories are integrated to provide a framework for explaining how technology-mediated collaboration constrains or enhances team shared mental model development and its subsequent impact on task outcomes. Partial least squares analysis revealed that technology-mediated collaboration impacts shared mental model development. The results also demonstrate that timely and accurate development of shared mental model facilitates increases in both productivity and team process satisfaction. Direct observation of team process behaviors suggests that collaboration modes differ not only in their impact on communication facilitation but efficacy-based, motivational, and social influence factors (e.g., self-efficacy and team-efficacy, perceived salience and credibility of contributions, social influence on action, etc.) as well. Shared mental model development requires quality communication among team members that are motivated to participate by a positive team climate that promotes idea convergence.

Resistance to Influence

2016 ◽  
Author(s):  
Brad J. Sagarin ◽  
Mary Lynn Miller Henningsen
Keyword(s):  
Negative Affect ◽  
Social Influence ◽  
Social Engineering ◽  
Third Party ◽  
Mechanisms Of Resistance ◽  
Potential Source ◽  
Stealing Thunder ◽  
Manipulative Intent ◽  
The Impact ◽  
Parasite Defense

This chapter reviews research on resistance to influence, active or passive processes that reduce the impact of a potential source of social influence. This chapter begins with a discussion of the antecedents of resistance: characteristics of the influence target (strong attitudes, demographics, and personality), perceived aspects of the influence attempt (manipulative intent, threats to freedoms), or counterinfluence messages from a third party (forewarning, inoculation, stealing thunder, the poison parasite defense, resistance to social engineering) that motivate resistance. The chapter proceeds to a discussion of internal mechanisms of resistance (counterarguing, bolstering initial attitudes, derogating the source, attributing negative affect to the message or source, attempting to correct for bias) and external mechanisms of resistance (interpersonal strategies of communicating resistance and issuing refusals) and concludes with a discussion of the consequences of resistance for attitudes and relationships.

Participation in community-based free/libre open source software development tasks: the impact of task characteristics

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kangning Wei ◽  
Kevin Crowston ◽  
U. Yeliz Eseryel
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Empirical Support ◽  
Task Characteristics ◽  
Community Based ◽  
Content Type ◽  
The Impact ◽  
Individual Participation ◽  
And Task ◽  
Development Tasks

PurposeThis paper explores how task characteristics in terms of trigger type and task topic influence individual participation in community-based free/libre open source software (FLOSS) development by considering participation in individual tasks rather than entire projects.Design/methodology/approachA quantitative study was designed using choose tasks that were carried out via the email discourse on the developers' email fora in five FLOSS projects. Choice process episodes were selected as the unit of analysis and were coded for the task trigger and topic. The impact of these factors on participation (i.e. the numbers of participants and messages) was assessed by regression.FindingsThe results reveal differences in participation related to different task triggers and task topics. Further, the results suggest the mediating role of the number of participants in the relationships between task characteristics and the number of messages. The authors also speculate that project type serves as a boundary condition restricting the impacts of task characteristics on the number of participants and propose this relationship for future research.Research limitations/implicationsEmpirical support was provided to the important effects of different task characteristics on individual participation behaviors in FLOSS development tasks.Practical implicationsThe findings can help FLOSS participants understand participation patterns in different tasks and choose the types of tasks to attend to.Originality/valueThis research explores the impact of task characteristics on participation in FLOSS development at the task level, while prior research on participation in FLOSS development has focused mainly on factors at the individual and/or project levels.

Measuring Patients’ Perceptions and Social Influence on Home Telecare Management System Acceptance

2010 ◽  
Vol 5 (3) ◽  
pp. 44-68 ◽  
Author(s):  
Charles Chen ◽  
Shih-Wei Chou
Keyword(s):  
Social Influence ◽  
Technology Acceptance ◽  
Management System ◽  
Modern Technology ◽  
Theory And Practice ◽  
Successful Implementation ◽  
Social Influence Theory ◽  
System Acceptance ◽  
Acceptance Model ◽  
The Impact

Successful implementation of a Home Telecare Management System (HTMS) requires acceptance by the users, especially when technical innovation is applied to manage chronic healthcare in elderly patients, who are unaccustomed to using modern technology. Based on the Technology Acceptance Model (TAM) and Social Influence Theory (SIT), a Home Telecare Management System (HTMS) Acceptance Model is proposed and tested to improve the understanding of patients’ acceptance of HTMS and the impact of social influence on patients’ attitude and behavioral intentions in using HTMS. Via empirical research and analysis of 221 patients’ questionnaires, the partial least squares (PLS) technique indicates that most of the model’s hypotheses are significant. Implications for both theory and practice are also provided.

Navigators and guides: the value of peer assistance in student use of electronic library facilities

VINE ◽  
2004 ◽  
Vol 34 (3) ◽  
pp. 99-106 ◽  
Author(s):  
Karin de Jager
Keyword(s):  
Teaching And Learning ◽  
University Of Southern California ◽  
Electronic Library ◽  
Information Commons ◽  
Knowledge Commons ◽  
The Usa ◽  
University Of Cape Town ◽  
The University ◽  
The Impact ◽  
Student Assistants

States that in 2001 the University of Cape Town (UCT) Libraries opened a new and integrated learning centre based on the “information commons” concept fairly common in the USA today and first encountered at the Leavey Library of the University of Southern California. Discusses the results of a series of interviews with student assistants working in the Knowledge Commons, in an attempt to provide an evaluation of the impact of this resource on teaching and learning at UCT. Concludes that the study has confirmed the importance of most of the unique features of the information commons as discussed in the literature.

Drivers of intention to use Murabaha financing: religiosity as moderator

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Naqeeb Ullah Atal ◽  
Mohammad Iranmanesh ◽  
Fathyah Hashim ◽  
Behzad Foroughi
Keyword(s):  
Social Influence ◽  
Reasoned Action ◽  
Intention To Use ◽  
Content Type ◽  
The Impact ◽  
Positive Effect ◽  
Moderating Role ◽  
Insight Into ◽  
Religious Obligation

Purpose The purpose of this paper is to investigate the determinants of Muslims’ attitude and intention towards Murabaha financing by considering religiosity as a moderator. Design/methodology/approach The data were collected through a survey of 373 Muslims in Afghanistan and were analysed using the partial least squares technique. Findings The results showed that social influence and religious obligation have a positive effect on attitude towards Murabaha financing. Furthermore, social influence and attitude have a positive effect on the intention to use Murabaha financing. Religiosity moderates negatively the impact of social influence on attitude towards Murabaha financing. Practical implications Managers and marketers of Islamic banks may benefit from the findings of this study, which provide insight into the factors that should be considered to promote Murabaha financing. Originality/value The findings contribute to the literature on Islamic financing products by demonstrating the drivers of attitude towards and intention to use Murabaha financing. The study also extends the literature by testing the moderating role of religiosity. Furthermore, the study extends the theory of reasoned action in the context of Islamic financing by introducing religious obligation as a potential driver of attitude and religiosity as a moderator.

scholarly journals The Impact of Social Influence, Technophobia, and Perceived Safety on Autonomous Vehicle Technology Adoption

2019 ◽  
Vol 48 (2) ◽  
pp. 133-142
Author(s):  
Sahil Koul ◽  
Ali Eydgahi
Keyword(s):  
Technology Adoption ◽  
Social Influence ◽  
Autonomous Vehicles ◽  
Autonomous Vehicle ◽  
Negative Relationship ◽  
Future Research ◽  
Intention To Use ◽  
Perceived Safety ◽  
Vehicle Technology ◽  
The Impact

The objective of this study was to determine whether there was a relationship between social influence, technophobia, perceived safety of autonomous vehicle technology, number of automobile-related accidents and the intention to use autonomous vehicles. The methodology was a descriptive, cross-sectional, correlational study. Theory of Planned Behavior provided the underlying theoretical framework. An online survey was the primary method of data collection. Pearson’s correlation and multiple linear regression were used for data analysis. This study found that both social influence and perceived safety of autonomous vehicle technology had significant, positive relationships with the intention to use autonomous vehicles. Additionally, a significant negative relationship was found among technophobia and intention to use autonomous vehicles. However, no relationship was found between the number of automobile-related accidents and intention to use autonomous vehicles. This study presents several original and significant findings as a contribution to the literature on autonomous vehicle technology adoption and proposes new dimensions of future research within this emerging field.

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