Group cohesion, personality and leadership effect on networked marketing staff performance

Authors:
Kenneth David Strang
Affiliations:
APPC Research &/ UTS, Sydney, NSW 2007, Australia/ State University of New York, Plattsburgh, NY 12901, USA
Venue:
International Journal of Networking and Virtual Organisations
Year:
2012

Citing 10
Cited 1

Interacting effects of GDSS and leadership

Decision Support Systems
Business-to-business adoption of eCommerce in China

Information and Management
Leadership Effectiveness in Global Virtual Teams

Journal of Management Information Systems
Examining the critical success factors in the adoption of enterprise resource planning

Computers in Industry
Evaluating new product development performance by fuzzy linguistic computing

Expert Systems with Applications: An International Journal
Introduction

Annual Review of Information Science and Technology
An investigation of Big Five and narrow personality traits in relation to Internet usage

Computers in Human Behavior
The contingent effects of leadership on team collaboration in virtual teams

Computers in Human Behavior
Why should i share? examining social capital and knowledge contribution in electronic networks of practice

MIS Quarterly
Contributing knowledge to electronic knowledge repositories: an empirical investigation

MIS Quarterly

Risk Management Research Design Ideologies, Strategies, Methods and Techniques

International Journal of Risk and Contingency Management

Quantified Score

Hi-index	0.00

Visualization

Abstract

An Australian-based marketing design team was studied (n = 127) to measure how leadership, personality and other factors impact their project performance. The teams were multicultural (91% were not Australian born) and they communicated almost exclusively using virtual communications software. Proven instruments were selected from the literature to measure transformational and transactional leadership perceptions, along with personality traits. Substitutes for leadership were recast as controls, namely cohesion, gender, and professional orientation. Descriptive statistics, correlation, and hierarchical linear modelling regression were used to test the hypotheses. Three factors had significant predictive effect: high cohesion, high transactional leadership and an agreeable personality trait.