Engineering digital motivation in businesses: a modelling and analysis framework

Authors: Shahri, A., Hosseini, M., Taylor, J., Stefanidis, A., Phalp, K. and Ali, R.

Journal: Requirements Engineering

Volume: 25

Issue: 2

Pages: 153-184

eISSN: 1432-010X

ISSN: 0947-3602

DOI: 10.1007/s00766-019-00312-1

Abstract:

Digital motivation refers to the use of software-based solutions to change, enhance, or maintain people’s attitude and behaviour towards specific tasks, policies, and regulations. Gamification, persuasive technology, and entertainment computing are example strands of such a paradigm. Digital motivation has unique properties which necessitate careful consideration of its analysis design methods. This stems from the strong human factor involvement, and if it is not implemented effectively, it can result in digital motivation being perceived negatively or leading to reduced motivation. The emerging literature on the topic includes approaches for creating digital motivation solutions. However, their primary focus is on specifying its operation, for example, the design of feedback, rewards and levels. In this paper, we propose a novel modelling language which enables capturing digital motivation as an integral part of the organisational and social structure of a business, captured via goal models. We also demonstrate how modelling of motivational techniques at this level, the goal level, enables a more powerful analysis that informs the introduction, design and management of digital motivation. Finally, we evaluate the language and its analysis using different perspectives and quality measures and report the results.

http://eprints.bournemouth.ac.uk/32200/

Source: Scopus

Engineering digital motivation in businesses: a modelling and analysis framework

Authors: Shahri, A., Hosseini, M., Taylor, J., Stefanidis, A., Phalp, K. and Ali, R.

Journal: REQUIREMENTS ENGINEERING

Volume: 25

Issue: 2

Pages: 153-184

eISSN: 1432-010X

ISSN: 0947-3602

DOI: 10.1007/s00766-019-00312-1

http://eprints.bournemouth.ac.uk/32200/

Source: Web of Science (Lite)

Engineering Digital Motivation in Businesses: A Modelling and Analysis Framework

Authors: Shahri, A., Hosseini, M., Taylor, J., Stefanidis, A., Phalp, K. and Ali, R.

Journal: Requirements Engineering

Publisher: Springer Nature

ISSN: 0947-3602

http://eprints.bournemouth.ac.uk/32200/

Source: Manual

Engineering digital motivation in businesses: a modelling and analysis framework.

Authors: Shahri, A., Hosseini, M., Taylor, J., Stefanidis, A., Phalp, K. and Ali, R.

Journal: Requir. Eng.

Volume: 25

Pages: 153-184

DOI: 10.1007/s00766-019-00312-1

http://eprints.bournemouth.ac.uk/32200/

Source: DBLP

Engineering Digital Motivation in Businesses: A Modelling and Analysis Framework

Authors: Shahri, A., Hosseini, S., Stefanidis, A., Taylor, J., Phalp, K. and Ali, R.

Journal: Requirements Engineering

Volume: 25

Issue: 2

Pages: 153-184

ISSN: 0947-3602

Abstract:

Digital Motivation refers to the use of software-based solutions to change, enhance, or maintain people’s attitude and behaviour towards specific tasks, policies, and regulations. Gamification, persuasive technology and entertainment computing are example strands of such a paradigm. Digital Motivation has unique properties which necessitate careful consideration of its analysis design methods. This stems from the strong human factor involvement, and if it is not implemented effectively, it can result in Digital Motivation being perceived negatively or leading to reduced motivation. The emerging literature on the topic includes approaches for creating Digital Motivation solutions. However, their primary focus is on specifying its operation, for example, the design of feedback, rewards and levels. In this paper, we propose a novel modelling language which enables capturing Digital Motivation as an integral part of the organisational and social structure of a business, captured via Goal Models. We also demonstrate how modelling of motivational techniques at this level, the goal level, enables a more powerful analysis that informs the introduction, design and management of Digital Motivation. Finally, we evaluate the language and its analysis using different perspectives and quality measures and report the results.

http://eprints.bournemouth.ac.uk/32200/

Source: BURO EPrints