nach oben

Erschienen in:

2016 | OriginalPaper | Buchkapitel

Determining the Benefit of Interactive Videos in the Health Sector: Validating a Custom Measurement Instrument

Complete Research

verfasst von : Michael Langbauer, Franz Lehner, Nadine Amende

Erschienen in: Information Systems and Management in Media and Entertainment Industries

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Searching for “Windsor knot” on YouTube provides 71.300 alternatives to choose from for those in need of instruction. Learning from a video tutorial in an online portal has become a natural procedure in households. As businesses are starting to realize, video offers a broad spectrum of use cases to foster internal and external knowledge transfer and collaboration. In general, modern media applications are designed to empower the user to choose from a structured compilation of information at will. Harnessing these properties in business settings, interactive video as an example should lead to a beneficiary outcome for its user. To validate this intuition we developed a new software suite to build, manage and view interactive videos and introduced it to a realistic application scenario. In this article we present results of an exploratory factor analysis validating a new measurement instrument designed specifically for the benefit of interactive videos. Data was gathered in a field experiment, in which the interactive videos were used for physiotherapy. We analysed the validity and reliability of the constructs and items. The results show some weaknesses demanding further improvement and adaption of the measurement model, yet also yielding insight into the generation of benefit from such knowledge media on an individual level.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel The Impact of Fluid Publishing on Media Information Management—A Survey of Latest Journalistic Trends as Data-Driven Journalism, Journalism as Process and Metrics-Driven Journalism

Aubert, O., & Prié, Y. (2005). Advene: Active reading through hypervideo. In S. Reich & M. M. Tzagarakis (Eds.), HT’05: Proceedings of the sixteenth ACM Conference on Hypertext and Hypermedia, Salzburg, Austria, September 06–09, 2005 (pp. 235–244). New York, NY: ACM.

Benlian, A., Koufaris, M., & Hess, T. (2011). Service quality in software-as-a-service: Developing the SaaS-Qual measure and examining its role in usage continuance. Journal of Management Information Systems, 28(3), 85–126.CrossRef

Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351–370.CrossRef

Bhattacherjee, A., & Premkumar, G. (2004). Understanding changes in belief and attitude toward information technology usage: A theoretical model and longitudinal test. MIS Quarterly, 28(2), 229–254.

Braun, N., & Finke, M. (2000). Interaction of video on demand systems with human-like Avatars and hypermedia. In IDMS ‘00 Proceedings of the 7th International Workshop on Interactive Distributed Multimedia Systems and Telecommunication Services (pp. 172–186).

Burmester, M. (2006). Usability engineering für interaktive Wissensmedien. In M. Eibl, H. Reiterer, P. F. Stephan, & F. Thissen (Eds.), Knowledge media design (pp. 175–200). München: Oldenbourg Wissenschaftsverlag GmbH.CrossRef

Chambel, T., Zahn, C., & Finke, M. (2006). Hypervideo and Cognition. In E. Alkhalifa (Ed.), Cognitively Informed Systems (pp. 26–49). IGI Global.

Chen, W.-K., Huang, H.-C., & Chou, S.-C. T. (2012). Understanding what determines consumers’ expanded use of mobile videophones. Behaviour & Information Technology, 31(10), 953–967.CrossRef

Chou, S.-W., & Chiang, C.-H. (2013). Understanding the formation of software-as-a-service (SaaS) satisfaction from the perspective of service quality. Decision Support Systems, 56, 148–155.CrossRef

10.

Concolato, C., Schmitz, P., Aubert, O., Prié, Y., & Schmitt, D. (2012). Advene as a tailorable hypervideo authoring tool. Paris: France.

11.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319.CrossRef

12.

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 1111–1132.CrossRef

13.

DeLone, W. D., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30.

14.

DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60–95.CrossRef

15.

DeLone, W. H., & McLean, E. R. (2004). Measuring e-Commerce Success: Applying the DeLone & McLean information systems success model. International Journal of Electronic Commerce, 9(1), 31–47.

16.

Du, J., Lu, J., Wu, D., Li, H., & Li, J. (2013). User acceptance of software as a service: Evidence from customers of China’s leading e-commerce company, Alibaba. Journal of Systems and Software, 86(8), 2034–2044.CrossRef

17.

Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research, Addison-Wesley series in social psychology. Reading, Mass: Addison-Wesley Pub. Co.

18.

Garrity, E. J., & Sanders, G. L. (1998). Information systems success measurement, Series in information technology management. Hershey, PA: Idea Group Pub.CrossRef

19.

Goyette, I., Ricard, L., Bergeron, J., & Marticotte, F. (2010). e-WOM scale: Word-of-mouth measurement scale for e-services context. Canadian Journal of Administrative Sciences/Revue Canadienne des Sciences de l’Administration, 27(1), 5–23.CrossRef

20.

Green, D. T., & Pearson, J. M. (2011). Integrating website usability with the electronic commerce acceptance model. Behaviour & Information Technology, 30(2), 181–199.CrossRef

21.

He, W., Fang, Y., & Wei, K.-K. (2009). The role of trust in promoting organizational knowledge seeking using knowledge management systems: An empirical investigation. Journal of the American Society for Information Science and Technology, 60(3), 526–537.CrossRef

22.

Hippner, H., & Wilde, T. (2005). Social software. Wirtschaftsinformatik, 47, 441–444.

23.

Höffler, T. N., & Leutner, D. (2007). Instructional animation versus static pictures: A meta-analysis. Learning and Instruction, 17(6), 722–738.CrossRef

24.

Hratinski, S., & Monstad, T. (2014). Exploring the relationship between the use of an interactive video website and organizational learning. New Media & Society, 16(4), 594–614.CrossRef

25.

Hsu, L.-C., Wang, K.-Y., & Chih, W.-H. (2013). Effects of web site characteristics on customer loyalty in B2B e-commerce: evidence from Taiwan. The Service Industries Journal, 33(11), 1026–1050.CrossRef

26.

Hu, P. J.-H., & Hui, W. (2012). Examining the role of learning engagement in technology-mediated learning and its effects on learning effectiveness and satisfaction. Decision Support Systems, 53(4), 782–792.CrossRef

27.

Hutzschenreuter, T. (2015). Allgemeine Betriebswirtschaftslehre. Wiesbaden: Springer Fachmedien Wiesbaden.CrossRef

28.

Kim, B. (2012). The diffusion of mobile data services and applications: Exploring the role of habit and its antecedents. Telecommunications Policy, 36(1), 69–81.CrossRef

29.

King, W. R., & He, J. (2006). A meta-analysis of the technology acceptance model. Information & Management, 43(6), 740–755.CrossRef

30.

Kwak, D. H., McDaniel, S., & Kim, K. T. (2012). Revisiting the satisfaction-loyalty relationship in the sport video gaming context: The mediating role of consumer expertise. Journal of Sport Management, 26(1), 81–91.CrossRef

31.

Lattemann, C. (2013). Social und Mobile Media in deutschsprachigen Unternehmen 2012. HMD—Praxis der Wirtschaftsinformatik, 292.

32.

Lehner, F., & Siegel, B. (2009). E-Learning mit interaktiven videos—Prototypisches Autorensystem und Bewertung von Anwendungsszenarien. In A. Schwill (Ed.), Lernen im digitalen Zeitalter, GI-Edition/Proceedings, P-153 (pp. 43–54). Bonn: Gesellschaft für Informatik.

33.

Levy, L., & Ellis, T. J. (2006). A systems approach to conduct an effective literature review in support of information systems research. Informing Science Journal, 9, 191–212.

34.

Lin, C.-P., & Bhattacherjee, A. (2010). Extending technology usage models to interactive hedonic technologies: a theoretical model and empirical test. Information Systems Journal, 20(2), 163–181.CrossRef

35.

Lin, H.-H., Wang, Y.-S., & Chou, C.-H. (2012). Hedonic and utilitarian motivations for physical game systems use behavior. International Journal of Human-Computer Interaction, 28(7), 445–455.CrossRef

36.

Lin, J. C.-C., & Liu, E. S. Y. (2009). The adoption behaviour for mobile video call services. International Journal of Mobile Communications, 7(6), 646.CrossRef

37.

Lin, K.-M., Chen, N.-S., & Fang, K. (2011). Understanding e-learning continuance intention: A negative critical incidents perspective. Behaviour & Information Technology, 30(1), 77–89.CrossRef

38.

Lippert, S. K., & Forman, H. (2005). Utilization of information technology: Examining cognitive and experiential factors of post-adoption behavior. IEEE Transactions on Engineering Management, 52(3), 363–381.CrossRef

39.

McKee, D. (2006). Customer self-efficacy and response to service. Journal of Service Research, 8(3), 207–220.CrossRef

40.

Meixner, B., Siegel, B., Hölbling, G., Lehner, F., & Kosch, H. (2010). SIVA suite—Authoring system and player for interactive non-linear videos. Italy: Firenze.

41.

Müller, W., Spierling, U., & Stockhausen, C. (2013). Production and delivery of interactive narratives based on video snippets. In H. Koenitz, T. I. Sezen, G. Ferri, M. Haahr, D. Sezen, & G. Catak (Eds.), ICIDS’13: Proceedings of the Sixth International Conference on Interactive Digital Storytelling, Istanbul, Turkey, November 6–9, 2013 (pp. 71–82). Berlin Heidelberg: Springer.

42.

Oh, J.-C., & Yoon, S.-J. (2013). Predicting the use of online information services based on a modified UTAUT model. Behaviour & Information Technology, 33(7), 716–729.CrossRef

43.

Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17, 460–469.CrossRef

44.

O’Reilly, T. (1997). What Is Web 2.0: Design Patterns and Business Models for the Next Generation of Software. Communications & Strategies, 65, 17–37.

45.

Petter, S., DeLone, W., & McLean, E. (2008). Measuring information systems success: Models, dimensions, measures, and interrelationships. European Journal of Information Systems, 17(3), 236–263.CrossRef

46.

Raeth, P., Smolnik, S., Urbach, N., & Zimmer, C. (2009). Towards assessing the success of social software in corporate environments. In: R. C. Nickerson & R. Sharda (Eds.), AMCIS ‘09: Fifteenth Americas’ Conference on Information Systems 2009, San Francisco, California, USA, 6–9 August 2009, Curran, Red Hook, NY, 27.11.2014.

47.

Reisberger, T., & Smolnik, S. (2008). Modell zur Erfolgsmessung von Social-Software-Systemen. In: M. Bichler, T. Hess, H. Krcmar, U. Lechner, F. Matthes, A. Picot, B. Speitkamp, P. Wolf, & M. Bichler (Eds.), MKWI’08: Multikonferenz Wirtschaftsinformatik 2008, Munich, Germany, 26–28. February 2008 (pp. 565–577), GITO-Verlag, Berlin.

48.

Reynolds, N., & de Maya, S. R. (2013). The impact of complexity and perceived difficulty on consumer revisit intentions. Journal of Marketing Management, 29(5–6), 625–645.CrossRef

49.

Richter, A., Heidemann, J., Klier, M., & Behrendt, S. (2013). Success Measurement of Enterprise Social Networks. Paper presented at 11th International Conference on Wirtschaftsinformatik, 27 Februar–1 März 2013, Leipzig, Germany. Available at: http://aisel.aisnet.org/wi2013/20. Accessed August 1, 2014.

50.

Schaupp, L. C. (2010). Web site success: Antecedents of web site satisfaction and re-use. Journal of Internet Commerce, 9(1), 42–64.CrossRef

51.

Shipman, F., Girgensohn, A., & Wilcox, L. (2005). Hypervideo expression. In S. Reich & M. M. Tzagarakis (Eds.), HT’05: Proceedings of the sixteenth ACM Conference on Hypertext and Hypermedia, Salzburg, Austria, September 06–09, 2005 (p. 217). New York, N.Y.: ACM.

52.

Shipman, F., Girgensohn, A., & Wilcox, L. (2008). Authoring, viewing, and generating hypervideo. ACM Transactions on Multimedia Computing, Communications, and Applications, 5(2), 1–19.CrossRef

53.

Smolnik, S., & Riempp, G. (2006). Nutzenpotenziale, Erfolgsfaktoren und Leistungsindikatoren von Social Software für das organisationale Wissensmanagement. HMD—Praxis der Wirtschaftsinformatik, 252.

54.

Stocker, A., Richter, A., Hoefler, P., & Tochtermann, K. (2012). Exploring appropriation of enterprise wikis. Computer Supported Cooperative Work (CSCW), 21(2–3), 317–356.CrossRef

55.

Susarla, A., Oh, J.-H., & Tan, Y. (2012). Social networks and the diffusion of user-generated content: Evidence from YouTube. Information Systems Research, 23(1), 23–41.CrossRef

56.

Truong, Y. (2009). An evaluation of the theory of planned behaviour in consumer acceptance of online video and television services. Electronic Journal Information Systems Evaluation, 12(2), 177–186.MathSciNet

57.

Truong, Y. (2009). An evaluation of the theory of planned behaviour in consumer acceptance of online video and television services. The Electronic Journal of Information Systems Evaluation, 12(2), 177–186.MathSciNet

58.

Van der Heijden, H. (2004). User acceptance of hedonic information systems. MIS Quarterly, 28(4), 695–704.

59.

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.CrossRef

60.

Venkatesh, V., Morris, M. G., Davis, Gordon B., & Davis, F. D. (2003). User acceptance of information technology—Toward a unified view. MIS Quarterly, 27(3), 425–478.

61.

Webster, J., & Watson, R. T. (2002). Analyzing the Past to Prepare for the Future: Writing a Literature Review. MIS Quarterly, 26(2), xiii–xxiii.

62.

Yang, H. (2013). Bon appétit for apps: young American consumer’s acceptance of mobile applications. The Journal of Computer Information Systems, 53(3), 85–96.

63.

Yoon, G., Duff, Brittany R. L., & Ryu, S. (2013). Gamers just want to have fun? Toward an understanding of the online game acceptance. Journal of Applied Social Psychology, 43(9), 1814–1826.CrossRef

64.

Yu, J., Ha, I., Choi, M., & Rho, J. (2005). Extending the TAM for a t-commerce. Information & Management, 42(7), 965–976.CrossRef

65.

Zahn, C. (2003). Wissenskommunikation mit Hypervideos: Untersuchungen zum Design nichtlinearer Informationsstrukturen für audiovisuelle Medien, Internationale Hochschulschriften (Vol. 412). Münster, New York, München, Berlin: Waxmann.

66.

Zahn, C., Oestermeier, U., & Finke, M. (2006). Designs für audiovisuelle Hypermedien—Kognitive und kollaborative Perspektiven. In M. Eibl, H. Reiterer, P. F. Stephan, & F. Thissen (Eds.), Knowledge media design (pp. 357–371). München: Oldenbourg Wissenschaftsverlag GmbH.CrossRef

67.

Zhang, D., Zhou, L., Briggs, R. O., & Nunamaker, J. F. (2006). Instructional video in e-learning: Assessing the impact of interactive video on learning effectiveness. Information & Management, 43(1), 15–27.CrossRef

Titel: Determining the Benefit of Interactive Videos in the Health Sector: Validating a Custom Measurement Instrument
verfasst von: Michael Langbauer
Franz Lehner
Nadine Amende
Verlag: Springer International Publishing
Buch: Information Systems and Management in Media and Entertainment Industries
Print ISBN: 978-3-319-49405-0

Electronic ISBN: 978-3-319-49407-4

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-49407-4_16

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner