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Working Digital – Shaping Motivation and Behavior by Information System Design Elements

Printausgabe
EUR 80,52

E-Book
EUR 56,00

Working Digital – Shaping Motivation and Behavior by Information System Design Elements (Band 121)

Analyzing Pro-Task and Pro-User Effects Induced by Acknowledging Digital Work

Sascha Lichtenberg (Autor)

Vorschau

Leseprobe, PDF (320 KB)
Inhaltsverzeichnis, PDF (200 KB)

The dissertation explores how digital labor platforms, particularly crowdworking environments, can be improved by incorporating Persuasive System Design (PSD) elements to address challenges faced by crowdworkers. Crowdworking, characterized by flexibility and autonomy, often lacks the social interactions and acknowledgment typical in traditional work environments, leading to feelings of isolation, demotivation, and decreased work quality.
To mitigate these negative effects, the dissertation investigates how gamification and conversational agents (CA) can influence motivation and task performance in digital labor environments. Specifically, it focuses on how these design elements can promote well-being, improve motivation, and enhance task-related behaviors among workers by analyzing their pro-task and pro-user effects.
Findings:
• Conversational agents create a sense of social presence, helping to alleviate isolation, but can also induce performance pressure.
• Gamification elements like badges and leaderboards can improve task performance but need careful implementation to avoid overperformance.
• A well-balanced integration of pro-task and pro-user elements is essential to improve worker satisfaction and retain platform performance.
• The Acknowledgment-Matching Framework developed in the dissertation helps understand the effects of match/mismatch of the internal performance perception with the external acknowledgments concerning individuals’ behavior and cognition.
Conclusion:
The dissertation concludes that designing digital work environments with well-integrated PSD elements, such as gamification and CAs, can significantly improve motivation, well-being, and performance among crowdworkers. The work provides insights for scholars and practitioners to design digital labor platforms that promote positive psychological and behavioral outcomes while minimizing negative effects like isolation and demotivation.

ISBN-13 (Printausgabe) 9783689529758
ISBN-13 (E-Book) 9783689529765
Sprache Englisch
Seitenanzahl 246
Umschlagkaschierung glänzend
Auflage 1.
Buchreihe Göttinger Wirtschaftsinformatik
Band 121
Erscheinungsort Göttingen
Erscheinungsdatum 18.09.2024
Allgemeine Einordnung Dissertation
Fachbereiche Informatik
Schlagwörter Persuasive system design, Pro-Task, Pro-User, Well-Being, Crowdworking, Self-determination theory, Gamification, Digital labor platforms, Anthropomorphic design, Conversational agents (CA), Task performance, Human-computer interaction (HCI), Digital work, Intrinsic motivation, Extrinsic motivation, Micro-task crowdsourcing, Relatedness, Motivation crowding theory, Rewards, Task pressure, Social presence, Chatbot interaction, Badges, Leaderboards, Progress Bars, Lootboxes, Experimental research, Motivation mechanisms, Task completion, User experience (UX), Digital platforms, Crowdworker behavior, User persuasiveness, Social dynamics, Performance measurement, Task motivation, Digital environments, Cognitive evaluation theory Behavioral change mechanisms, Überzeugendes Systemdesign, Pro-Aufgabe, Pro-Nutzer:in, Wertschätzung, Wohlbefinden, Crowdworking, Selbstbestimmungstheorie, Gamifizierung, Digitale Arbeitsplattformen, Anthropomorphes Design, Konversationsagenten, Arbeitsleistung, Mensch-Computer-Interaktion , Digitale Arbeit, Intrinsische Motivation, Extrinsische Motivation, Mikroaufgaben-Crowdsourcing, Verbundenheit, Motivationsverdrängungstheorie, Belohnungen, Arbeitsdruck, Soziale Präsenz, Chatbot-Interaktion, Abzeichen, Bestenlisten, Fortschrittsbalken, Lootboxen, Experimentelle Forschung, Motivationsmechanismen, Aufgabenabschluss, Benutzer:in Wahrnehmung, Digitale Plattformen, Verhalten von Crowdworkern, Benutzer:in Überzeugung, Soziale Dynamik, Leistungsbewertung, Aufgabenerfüllungsmotivation, Digitale Umgebungen, Theorie der kognitiven Bewertung, Verhaltensänderungsmechanismen,