Home » A Cognitive Method for Comparing and Elaborating on Technology Frames

A Cognitive Method for Comparing and Elaborating on Technology Frames

Date/Time
Date(s) - 15/04/2024
9:30 am - 5:00 pm

Categories


From employees’ varied interpretations of software efficacy to consumers’ diverse beliefs about data privacy, technology frames refer to cognitive interpretations, assumptions, and expectations that people use to comprehend the essence of information technology (IT) within a particular context.  

These frames differ across groups with different values, interests, experiences, and expertise, and have critical implications for researchers, managers, and organisations. Despite theoretical enthusiasm to understand technology frames, limited methodological insights exist on how to systematically explore and compare technology frames. This gap impedes researchers from exploring novel questions related to technological frames, their variations, and how they can be effectively managed.  

This workshop teaches  a cognitive method for comparing and elaborating on technology frames. The attendees learn the methodological steps as to plan, elicit, compare, and elaborate on the relationships that underlie framing differences. The workshop offers templates that serve as a communication tool for discussing diverse manifestations of framing differences and their implications. The workshop concludes by highlighting the method’s practical implications and encouraging research to advance our knowledge of technology frames in the rapidly changing digital world 

Who is this course for?

This course is tailored for individuals with diverse backgrounds, both qualitative and quantitative, who want to delve into the cognitive aspects of technology frames. It’s ideal for those interested in exploring how various groups, such as user groups, managers, and stakeholders, leverage cognitive interpretations, assumptions, and expectations when considering information technology in different contexts.

Presenter: Professor Shahla Ghobadi, Leeds University Business School 

Shahla Ghobadi is Professor of Information Management at the University of Leeds. She completed Ph.D. in Information Systems, with a background in IT Management and Industrial Engineering. She studies how digital applications, including software products, platforms, and artificial intelligence, are developed and used to enhance lives. She employs a range of methods, including qualitative and longitudinal studies, as well as surveys, social network analysis, and behavioural experiments, to explore empirical data. Since 2008, she has designed and taught courses about organisations’ strategic decision making in the evolving digital society. Shahla’s teaching philosophy is to foster learners’ capacity for longitudinal thinking, creativity, resourcefulness, and empathy. She serves as an Associate Editor at the Information Systems Journal, in the editorial board of the British Journal of Management, and on the review panel of leading journals in management and information systems.

Click here to access Shahla Ghobadi’s staff profile

Shahla can be contacted at s.ghobadi@leeds.ac.uk for queries relating to course content.

Date and time: Monday 15th April 2024, 09:30 – 17:00 

Location: Leeds Institute for Data Analytics, University of Leeds 

Pricing: 

Students – £70 

University Staff – £150 

External Attendees – £350 

For internal bookings and general queries please contact cdrctraining@leeds.ac.uk 

Tickets can also be secured by card payment by following this link.

Further Information  

This training course will take place in LIDA, Level 11 of the Worsley building, University of Leeds. Directions will be provided ahead of the course and catering is provided.