Towards a User Experience Framework for Business Intelligence

References

• Jooste C, Biljon JV, Botha A (2018, Aug). A conceptual framework representing the user experience for business intelligence front-ends. In 2018 international conference on advances in big data, computing and data communication systems (icabcd) (p. 1–8). Durban, South Africa.
   Google Scholar
• Agiu D, Mateescu V, Muntean I. Business intelligence overview. Database Syst J. 2014 Dec;5(3):23–36.
   Google Scholar
• Stewart T. User experience. Behav Inf Technol. 2015;34(10):949–51. doi:https://doi.org/10.1080/0144929X.2015.1077578.
   Web of Science ®Google Scholar
• ISO. (2010). ISO 9241-210:2010. Online. [accessed 2019 Jan 23]. https://www.iso.org/obp/ui/#iso:std:iso:9241:-210:ed-1:v1:en
   Google Scholar
• Bouchana S, Idrissi MAJ (2015, Oct). Towards an assessment model of end user satisfaction and data quality in business intelligence systems. In 2015 10th international conference on intelligent systems: Theories and applications (sita) (p. 1–6). Rabat, Morocco.
   Google Scholar
• Chiasera A, Creazzi E, Brandi M, Baldessarini I, Vispi C. Continuous improvement, business intelligence and user experience for health care quality. In: Krogstie J, Reijers HA, editors. Advanced information systems engineering. Cham: Springer International Publishing; 2018. p. 505–19. Tallinn, Estonia.
   Google Scholar
• Massardi AE, Suharjito, Utama DN (2018, Sep.). Business intelligence design of rural bank performance assessment using financial ratio analysis. In Proceedings of 30th International Conference 2018 international conference on information management and technology (icimtech) (p. 143–48). doi:https://doi.org/10.3389/fnhum.2018.00143
   Google Scholar
• Lachner F, Naegelein P, Kowalski R, Spann M, Butz A. Quantified ux: Towards a common organizational understanding of user experience. In Proceedings of the 9th Nordic Conference on Human-Computer Interaction; 2016 Oct. p. 1–10.
   Google Scholar
• Hassenzahl M (2008). User experience (ux): towards an experiential perspective on product quality. In Proceedings of the 20th conference on l’interaction homme-machine (pp. 11–15). New York, NY, USA: ACM.
   Google Scholar
• Tan J, Rnkk K, Gencel C (2013, Oct). A framework for software usability and user experience measurement in mobile industry. In 2013 joint conference of the 23rd international workshop on software measurement and the 8th international conference on software process and product measurement (p. 156–64). Ankara, Turkey.
   Google Scholar
• Mao J-Y, Vredenburg K, Smith PW, Carey T. The state of user- centered design practice. Commun ACM. 2005 Mar;48(3):105–09. doi:https://doi.org/10.1145/1047671.
   Web of Science ®Google Scholar
• Shin Y, Im C, Oh HKim J. Design for experience innovation: understanding user experience in new product development. Behaviour & Information Technology. 2017;36(12):1218–1234. doi:https://doi.org/10.1080/0144929x.2017.1368709
   Google Scholar
• Pandey S, Srivastava S. Data driven enterprise ux: A case study of enterprise management systems. Human Interface and the Management of Information. Information and Knowledge in Applications and Services. HIMI 2014. Lecture Notes in Computer Science, vol 8522. Springer, Cham. doi:https://doi.org/10.1007/978-3-319-07863-2_21; 2014 June.
   Google Scholar
• Varsaluoma J, Väätäjä H, Kaasinen E, Karvonen H, Lu Y (2015). The fuzzy front end of experience design: eliciting and communicating experience goals. In Proceedings of the annual meeting of the australian special interest group for computer human interaction (pp. 324–32). New York, NY, USA: ACM.
   Google Scholar
• Liikkanen LA (2016). Ux strategy as a kick-starter for design transformation in an engineering company. In Proceedings of the 2016 chi conference extended abstracts on human factors in computing systems (pp. 816–22). New York, NY, USA: ACM.
   Google Scholar
• Huang Y-L, Marsh T, Cheok AD (2010). Investigation of software patterns of user experience. In Proceedings of the 7th international conference on advances in computer entertainment technology (pp. 116–17). New York, NY, USA: ACM. doi;https://doi.org/10.1177/1753193410382720
   Google Scholar
• Maguire M. Socio-technical systems and interaction design-21st century relevance. Appl Ergon. 2013 July;45. doi:https://doi.org/10.1016/j.apergo.2013.10.003.
   Google Scholar
• ISO. (2018). ISO 9241-11:2018. Online; [accessed 2019 Feb 18]. https://www.iso.org/obp/ui/#iso:std:iso:9241:-11:ed-2:v1:en
   Google Scholar
• Gaardboe R, Sandalgaard N, Sudzina F (2017). The importance of task compatibility for web-enabled business intelligence success in e-government. In Proceedings of the 19th international conference on information integration and web-based applications & services (pp. 353–57). New York, NY, USA: ACM. doi:https://doi.org/10.3389/fpsyg.2017.00353
   Google Scholar
• Brockmann T, Stieglitz S, Kmieciak J, Diederich S. 2012 Sept User acceptance of mobile business intelligence services. In 2012 15th International Conference on Network-Based Information Systems. p. 862–66. Melbourne, VIC, Australia. doi:https://doi.org/10.1109/NBiS.2012.129.
   Google Scholar
• Walsh T, Varsaluoma J, Kujala S, Nurkka P, Petrie H, Power C (2014). Axe ux: exploring long-term user experience with iscale and attrakdiff. In Proceedings of the 18th international academic mindtrek conference: Media business, management, content & services (pp. 32–39). New York, NY, USA: ACM.
   Google Scholar
• Dawar S, Ghosh S, Nawle SS (2017). Designing mobile applications with empathizing user experience. In Proceedings of the 2017 chi conference extended abstracts on human factors in computing systems (pp. 1108–16). New York, NY, USA: ACM.
   Google Scholar
• de Carvalho CRM (2010). Mex experience boards: A set of agile tools for user experience design. In Proceedings of the ix symposium on human factors in computing systems (pp. 213–16). Porto Alegre, Brazil: Brazilian Computer Society.
   Google Scholar
• Liikkanen LA, Kilpiö H, Svan L, Hiltunen M (2014). Lean ux: the next generation of user-centered agile development? In Proceedings of the 8th nordic conference on human-computer interaction: Fun, fast, foundational (pp. 1095–100). New York, NY, USA: ACM.
   Google Scholar
• Cheng LC (2016). The mobile app usability inspection (maui) framework as a guide for minimal viable product (mvp) testing in lean development cycle. In Proceedings of the 2nd international conference in hci and ux indonesia 2016 (pp. 1–11). New York, NY, USA: ACM.
   Google Scholar
• Schulze K, Krömker H (2010). A framework to measure user experience of interactive online products. In Proceedings of the 7th international conference on methods and techniques in behavioral research (pp. 14: 1–14:5). New York, NY, USA: ACM.
   Google Scholar
• Mulwa C, Lawless S, Sharp M, Wade V (2011, Aug). A web-based framework for user- centred evaluation of end-user experience in adaptive and personalized e-learning systems. In 2011 ieee/wic/acm international conferences on web intelligence and intelligent agent technology (Vol. 3, p. 351–56). Lyon, France.
   Google Scholar
• Adikari S, McDonald C, Campbell J (2013). Reframed contexts: design thinking for agile user experience design. In Proceedings of the second international conference on design, user experience, and usability: Design philosophy, methods, and tools - volume part i (pp. 3–12). Berlin, Heidelberg: Springer-Verlag.
   Google Scholar
• Fronemann N, Peissner M (2014). User experience concept exploration: user needs as a source for innovation. In Proceedings of the 8th nordic conference on human-computer interaction: Fun, fast, foundational (pp. 727–36). New York, NY, USA: ACM. doi:https://doi.org/10.1177/1753193414527052
   Google Scholar
• Karapanos E, Hassenzahl M, Martens J-B. User experience over time. In: Chi ‘08 extended abstracts on human factors in computing systems, IEEE J SOLID-STATE CIRCUITS. New York, NY, USA: ACM; 2008. p. 3561–66. doi:https://doi.org/10.1145/1518701.1518814.
   Google Scholar