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The impact of Task-Technology Fit on user performance within an Applicant Tracking Software: A qualitative study on the Bullhorn system
Linnaeus University, Faculty of Technology, Department of Informatics.
Linnaeus University, Faculty of Technology.
2018 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

The possibilities that exist with today’s online environments are huge. Today more data than ever before is stored each day in different forms online, and it is steadily increasing. With increasing amounts of data in the online databases, the need for evaluation and optimization in information systems is ever increasing. The field studies within this project was done on demand by a recruitment agency located in Great Britain. The main area of this study was to investigate the user experience and workflow within an applicant tracking software (ATS). With the Task-Technology Fit (TTF) theory as theoretical framework, this study aimed to apply this theory in the evaluation of the ATS called Bullhorn, by evaluating the match between Task characteristic and Technology characteristic through qualitative methods. Results shows how user experience and performance is affected by the current TTF construct.

Abstract [sv]

Möjligheterna i dagens onlinevärld är oändliga. Idag samlas det varje dag in mer data än någonsin innan i olika former online, och detta fortsätter att öka stadigt. Med ökande mängder data i databaserna online, ökar behovet av utvärdering och optimering inom informationssystem. Fältstudierna som genomfördes i detta projekt gjordes på beställning av ett rekryteringsbolag i Storbritannien. Huvudområdet för detta projekt var att undersöka användarupplevelsen och arbetsflödet i en söktjänst för arbetssökande. Med Task-Technology Fit-teorin (TTF) som teoretiskt ramverk var målet med denna studie att applicera denna teori i utvärderingen av söktjänsten Bullhorn, genom att utvärdera matchningen mellan uppgifterna som användarna behöver genomföra och tjänstens tekniska möjligheter via kvalitativa metoder. Resultatet visar hur användarupplevelsen och användarens prestation påverkas av den nuvarande TTF-matchningen.

Place, publisher, year, edition, pages
2018. , p. 45
Series
Rapporter: Fakulteten för teknik, Linnéuniversitetet
Keywords [en]
task-technology fit, technology to performance chain, user experience, user performance, qualitative research, applicant tracking software, evaluation, candidate prioritization
Keywords [sv]
task-technology fit, technology to performance chain, användarupplevelse, användarens prestation, kvalitativ forskning, applicant tracking software, utvärdering, kandidat-prioritering.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:lnu:diva-76762OAI: oai:DiVA.org:lnu-76762DiVA, id: diva2:1232201
Subject / course
Informatics
Educational program
Interaction Designer, 180 credits
Presentation
2018-05-30, NY110, Gröndalsvägen 19B, Kalmar, 11:00 (Swedish)
Supervisors
Examiners
Available from: 2018-07-12 Created: 2018-07-10 Last updated: 2018-07-12Bibliographically approved

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CiteExportLink to record
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