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Design Blueprint for Stress-Sensitive Adaptive Enterprise Systems

Title data

Adam, Marc T. P. ; Gimpel, Henner ; Mädche, Alexander ; Riedl, René:
Design Blueprint for Stress-Sensitive Adaptive Enterprise Systems.
In: Business & Information Systems Engineering. Vol. 59 (August 2017) Issue 4 . - pp. 277-291.
ISSN 1867-0202
DOI: https://doi.org/10.1007/s12599-016-0451-3

Abstract in another language

Stress is a major problem in the human society, impairing the well-being, health, performance, and productivity of many people worldwide. Most notably, people increasingly experience stress during human-computer interactions because of the ubiquity of and permanent connection to information and communication technologies. This phenomenon is referred to as technostress. Enterprise systems, designed to improve the productivity of organizations, frequently contribute to this technostress and thereby counteract their objective. Based on theoretical foundations and input from exploratory interviews and focus group discussions, the paper presents a design blueprint for stress-sensitive adaptive enterprise systems (SSAESes). A major characteristic of SSAESes is that biosignals (e.g., heart rate or skin conductance) are integrated as real-time stress measures, with the goal that systems automatically adapt to the users’ stress levels, thereby improving human-computer interactions. Various design interventions on the individual, technological, and organizational levels promise to directly affect stressors or moderate the impact of stressors on important negative effects (e.g., health or performance). However, designing and deploying SSAESes pose significant challenges with respect to technical feasibility, social and ethical acceptability, as well as adoption and use. Considering these challenges, the paper proposes a 4-stage step-by-step implementation approach. With this Research Note on technostress in organizations, the authors seek to stimulate the discussion about a timely and important phenomenon, particularly from a design science research perspective.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Adaptive automation; Affective computing; Enterprise systems; Biofeedback; NeuroIS; Stress; Technostress; Design science research
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Faculties
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 09 Jan 2018 09:45
Last Modified: 14 Dec 2018 09:32
URI: https://eref.uni-bayreuth.de/id/eprint/41577