Ann Rogerson

University of Wollongong, Sydney Business School, Faculty Member

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Dr Ann Rogerson is a Senior Lecturer at the Faculty of Business, University of Wollongong (Australia). She teaches postgraduate organisational behaviour subjects, while her research focuses on interpersonal communication, and the detection and prevention of academic integrity issues and use of Turnitin®. From a governance perspective, she designs and implements policies, and investigates allegations of academic integrity for onshore and offshore campuses. She received an Outstanding Contribution to Teaching and Learning (OCTAL) award from University of Wollongong in 2016, and won the 2016 Australia/New Zealand innovator award for Turnitin, coming runner-up in the Worldwide awards. Dr Rogerson has presented her research on communication, assessment design and academic integrity issues at local and international conferences and has been interviewed by national and international media in relation to academic integrity and assessment design. She has also contributed a chapter on peer-to-peer student file sharing to the recently published Handbook of Academic Integrity (Ed. T. Bretag, Springer, 2016).

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Diane Pecorari

University of Leeds

Judith L Green

University of California, Santa Barbara

Andreas Umland

National University of "Kyiv-Mohyla Academy"

Naim Kapucu

University of Central Florida

Chiara Valentini

University of Jyväskylä

Marc Champagne

Kwantlen Polytechnic University

David Seamon

Kansas State University

Simon McIntyre

The University of New South Wales

Armando Marques-Guedes

UNL - New University of Lisbon

Craig E Carroll

Rice University

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Papers by Ann Rogerson

“(Im)possible to Prove”: Formalising Academic Judgement Evidence in Contract Cheating Cases Using Bibliographic Forensics

Springer eBooks, 2022

Research Student Autonomy

Communication accommodation to achieve

Accommodating demographic differences in managerial face-to-face conversations in Australian workplaces

Communication between individuals is influenced by the range and extent of perceived and actual d... more Communication between individuals is influenced by the range and extent of perceived and actual differences that exist between interactants. Differences need to be accommodated in order to achieve effective communication outcomes and limit the influence of subjective biases and stereotypes. This study uses communication accommodation theory (CAT) to examine whether perceived demographic differences between interactants affect the outcome of face-toface workplace conversations initiated by Australian managers and whether linguistic tactics are used to accommodate differences. One premise associated with CAT is that people modify their communication transmissions to highlight, reduce, or reinforce the differences between themselves and a message recipient during an interpersonal interaction. Using an online survey, managers operating in a range of Australian organisations were asked to reflect on two workplace conversations initiated in the previous six months. The first conversation was with a subordinate, i.e. a 'downwards' interaction; the second conversation was with a superior, i.e. an 'upwards' conversation. Responses were received from 397 managers based in Australia. Demographic information was collected about each responding manager, as well as the managers' perceptions of the demographic attributes of the other person participating in each conversation. This data was used to determine where demographic differences and similarities existed between each set of interactants. Attributes examined included gender, age, organisational tenure (or the length of time working for the organisation), the length of time the manager had held their position, the length of working relationship between the interactants, each persons' level of education, their country of birth, and whether interactants use English language at home. Managers rated the perceived effectiveness of each conversation, identified whether or not specific linguistic tactics were used during the conversation and indicated whether they planned to alter their approach to future interactions with that person. The number of demographic differences between the interactants was established and then analysed against the reported outcomes and future intents through regression, ANOVAs, and chi-square tests.

Ann Rogerson

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