Skip to main content

Augmented Reality Smart Glasses and Knowledge Management: A Conceptual Framework for Enterprise Social Networks

  • Chapter
  • First Online:
Enterprise Social Networks

Abstract

Augmented Reality Smart Glasses are an emerging new wearable technology that integrates virtual information in a user’s view-field. In this article, the authors discuss the opportunities of smart glasses in the context of Enterprise Social Networks (ESN). A proposed conceptual model is developed that demonstrates the underlying mechanisms that drive smart glasses ESN adoption on a firm level. Furthermore, on the individual employee level, the authors propose the antecedents to active and passive use. The theoretical contribution is a comprehensive hierarchical model that extends prior technology acceptance and ESN research. On the managerial front, the article provides guidance to managers who aim at achieving competitive advantages by improving knowledge management through the use of new wearable Augmented Reality technologies.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 49.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    In this article, we use the term ‘smart glasses’ as a synonym for Augmented Reality Smart Glasses. However, it is important to note that some manufacturers (e.g., K2) offer products that are branded as ‘smart glasses’ that are basically sunglasses with integrated mp3-payers (i.e., headsets). The definition of smart glasses in the current research excludes these and similar devices without Augmented Reality components.

Literatur

  • Albrecht, U. V., U. V. Jan, J. Kuebler, C. Zoeller, M. Lacher, O. J. Muensterer, M. Ettinger, M. Klintschar, and L. Hagemeier. 2014. Google Glass for documentation of medical findings: Evaluation in forensic medicine. Journal of medical Internet research 16 (2): 53.

    Article  Google Scholar 

  • Ajzen, I., und M. Fishbein. 1980. Understanding attitudes and predicting social behavior. Englewood Cliffs: Prentice-Hall.

    Google Scholar 

  • Armstrong, DG, T. M. Rankin, N. A. Giovinco, J. L. Mills, and Y. Matsuoka. 2014. A heads-up display for diabetic limb salvage surgery: A view through the google looking glass. Journal of diabetes science and technology 8 (5): 951–956.

    Google Scholar 

  • Azuma, R., Y. Baillot, R. Behringer, S. Feiner, S. Julier, and B. MacIntyre. 2001. Recent advances in augmented reality. IEEE Computer Graphics and Applications 21 (6): 34–47.

    Article  Google Scholar 

  • Bagozzi, R. P., F. D. Davis, und P. R. Warshaw. 1992. Development and test of a theory of technological learning and usage. Human Relations 45 (7): 660–686.

    Google Scholar 

  • Bagozzi, R. P. 2007. The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the Association for Information Systems 8 (4): 244–254.

    Google Scholar 

  • Ballard, B. 2015. Wearables ready for biz, says survey. http://www.eetimes.com/author.asp?section_id=36&doc_id=1327715.

  • Bandura, A. 1977. Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review 84 (2): 191–215.

    Article  Google Scholar 

  • Bock, G-W., R. W. Zmud, Y-G. Kim, and J-N. Lee. 2005. Behavioral intention formation in knowledge sharing: Examining the roles of extrinsic motivators, social-psychological factors, and organizational climate. MIS Quarterly 29 (1): 87–111.

    Google Scholar 

  • Brynjolfsson, E., and L. M. Hitt. 2000. Beyond computation: Information technology, organizational transformation and business performance. Journal of Economic Perspectives 14 (4): 23–48.

    Article  Google Scholar 

  • Chwelos, P., I. Benbasat, and A. S. Dexter. 2001. Research report: Empirical test of an EDI adoption model. Information Systems Research 12 (3): 304–321.

    Article  Google Scholar 

  • Cortazar, B., H. C. Koydemir, D. Tseng, S. Feng, and A. Ozcan. 2015. Quantification of plant chlorophyll content using Google Glass. Lab on a Chip 15 (7): 1708–1716.

    Article  Google Scholar 

  • Daugherty, T., M. S. Eastin, and L. Bright. 2008. Exploring consumer motivations for creating user-generated content. Journal of Interactive Advertising 8 (2): 16–25.

    Article  Google Scholar 

  • Davis, F. D. 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13 (3): 319–340.

    Article  Google Scholar 

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

    Article  Google Scholar 

  • DeLone, W. H. 1988. Determinants of success for computer usage in small business. MIS Quarterly 12 (1): 51–61.

    Article  Google Scholar 

  • Di Gangi, P. M., and M. Wasko. 2010. The co-creation of value. Exploring engagement behaviors in user-generated content websites. Tallahassee: Florida State University.

    Google Scholar 

  • Dwyer, C., S. R. Hiltz, and K. Passerini. 2007. Trust and privacy concern within social networking sites: A comparison of Facebook and MySpace. AMCIS 2007 Proceedings (Paper 339).

    Google Scholar 

  • Eisenmann, T., L. Barley, und L. Kind. 2014. Google Glass, HBS Case 814–102.

    Google Scholar 

  • Farzan, R., J. M. DiMicco, D. R. Millen, C. Dugan, W. Geyer, and E. A. Brownholtz. 2008. Results from deploying a participation incentive mechanism within the enterprise. Proceeding of the twenty-sixth annual CHI conference, 26, pp. 563–572.

    Google Scholar 

  • Fulk, J., and Y. C. Yuan. 2013. Location, motivation, and social capitalization via enterprise social networking. Journal of Computer-Mediated Communication 19 (1): 20–37.

    Article  Google Scholar 

  • Gatignon, H., and T. S. Robertson. 1989. Technology diffusion: An empirical test of competitive effects. Journal of Marketing 53 (1): 35–49.

    Article  Google Scholar 

  • Giannopoulos, G. A. 2004. The application of information and communication technologies in transport. European Journal of Operational Research 152 (2): 302–320.

    Article  Google Scholar 

  • Hashimoto, D. A., P. Phitayakorn, C. Fernandez-Del Castillo, and O. Meireles. 2015. A blinded assessment of video quality in wearable technology for telementoring in open surgery: the Google Glass experience. Surgical endoscopy April.

    Google Scholar 

  • Hein, D. W. E., B. S. Ivens, and S. Müller. 2015. Customer acceptance and new product success—An application of QCA in innovation research. 44th EMAC conference, Leuven/Belgium.

    Google Scholar 

  • Hernandez, J., and R. W. Picard. 2014. SenseGlass: Using google glass to sense daily emotions. In Proceedings of the adjunct publication of the 27th annual ACM symposium on User interface software and technology (pp. 77–78). ACM.

    Google Scholar 

  • Hennig-Thurau, T., E. C. Malthouse, C. Friege, S. Gensler, L. Lobschat, A. Rangaswamy, and B. Skiera. 2010. The impact of new media on customer relationships. Journal of Service Research 13 (3): 311–330.

    Article  Google Scholar 

  • Homburg, C., M. Wieseke, and C. Kuehnl. 2010. Social influence on salespeople’s adoption of sales technology. A multilevel analysis. Journal of the Academy of Marketing Science 38: 159–168.

    Article  Google Scholar 

  • Hong, J. 2013. Considering privacy issues in the context of Google glass. Communications of the ACM 56 (11): 10–11.

    Article  Google Scholar 

  • Iacovou, C. L., I. Benbasat, and A. S. Dexter. 1995. Electronic data interchange and small organizations. Adoption and impact of technology. MIS Quarterly 19 (4): 465–485.

    Article  Google Scholar 

  • Karahanna, E., D. W. Straub, and N. L. Chervany. 1999. Information technology adoption across time: A cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Quarterly 23 (2): 183–213.

    Article  Google Scholar 

  • Kim, K. J., and D-H. Shin. 2015. An acceptance model for smart watches. Internet Research 25 (4): 527–541.

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Knoll, J., und H. Schramm. 2015. Advertising in social network sites–Investigating the social influence of user-generated content on online advertising effects. Communications 40 (3): 341–360.

    Google Scholar 

  • Kotter, J. P. 1995. Leading change: Why transformation efforts fail. Harvard Business Review 85 (1): 96–103.

    Google Scholar 

  • Krulikowski, B., P. Rauschnabel, and Y. Ro. 2015. Morpace reports: Consumers reveal their opinions on the use of smart glasses (Nov 10, 2015). Famington Hills: Morpace Inc.

    Google Scholar 

  • Kügler, M., and S. Smolnik. 2014. Uncovering the phenomenon of employees’ enterprise social software use in the post-acceptance stage—Proposing a use typology. European Conference on Information Systems, Tel Aviv/Israel.

    Google Scholar 

  • Kügler, M., S. Smolnik, and P. Raeth. 2013. Determining the factors influencing enterprise social software usage: Development of a measurement instrument for empirical assessment. 46th Hawaii International Conference on System Sciences (HICSS), pp. 3635–3644.

    Google Scholar 

  • Lee, D. Y., and M. R. Lehto. 2013. User acceptance of YouTube for procedural learning: An extension of the technology acceptance model. Computers & Education 61: 193–208.

    Article  Google Scholar 

  • Li, C. 2015. Why no one uses the corporate social network. Harvard Business Review 87:1111, 1–9.

    Google Scholar 

  • Moshtaghi, O., K. S. Kelley, W. B. Armstrong, Y. Ghavami, J. Gu, and H. R. Djalilian. 2015. Using google glass to solve communication and surgical education challenges in the operating room. The Laryngoscope 125 (10): 2295–2297.

    Article  Google Scholar 

  • Muensterer, O. J., M. Lacher, C. Zoeller, M. Bronstein, and J. Kübler. 2014. Google Glass in pediatric surgery: An exploratory study. International journal of surgery 12 (4): 281–289.

    Article  Google Scholar 

  • Murley, S. 2015. Google Glass 2.0—Primed for the enterprise: Foldable, rugged and waterproof. http://thearea.org/google-glass-2-0-primed-for-the-enterprise-foldable-rugged-and-waterproof/.

  • Needle, D. 2004. Business in context. An introduction to business and its environment. London: International Thomson Business.

    Google Scholar 

  • Nov, O. 2007. What motivates Wikipedians? Communications of the ACM 50 (11): 60–64.

    Article  Google Scholar 

  • Oliveira, T., and M. F. Martins. 2010. Understanding e‐business adoption across industries in European countries. Industrial Management & Data Systems 110 (9): 1337–1354.

    Article  Google Scholar 

  • Oliveira, T., and M. F. Martins. 2011. Literature review of information technology adoption models at firm level. Electronic Journal of Information Systems Evaluation 14 (1): 110–121.

    Google Scholar 

  • Osswald, S., D. Wurhofer, S. Trösterer, E. Beck, and M. Tscheligi. 2012. Predicting information technology usage in the car. 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Portsmouth/New Hampshire, USA, pp. 51–58.

    Google Scholar 

  • Pagani, M., C. F. Hofacker, and R. E. Goldsmith. 2011. The influence of personality on active and passive use of social networking sites. Psychology and Marketing 28 (5): 441–456.

    Article  Google Scholar 

  • Paroutis, S., and A. A. Saleh. 2009. Determinants of knowledge sharing using Web 2.0 technologies. Journal of Knowledge Management 13 (4): 52–63.

    Article  Google Scholar 

  • Pfeiffer, H. K. C. 1992. The diffusion of electronic data interchange. Contributions to management science. Heidelberg: Physica-Verlag.

    Book  Google Scholar 

  • Premkumar, G., and M. Roberts. 1999. Adoption of new information technologies in rural small businesses. Omega 27 (4): 467–484.

    Article  Google Scholar 

  • Quint, F., and F. Loch. 2015. Using smart glasses to document maintenance processes. Mensch und Computer 2015. Workshopband. 203–208. Stuttgart: Oldenbourg Wissenschaftsverlag.

    Google Scholar 

  • Rauschnabel, P. A., A. Brem, and B. S. Ivens. 2015a. Who will buy smart glasses? Computers in Human Behavior 49:635–647.

    Article  Google Scholar 

  • Rauschnabel, P. A., A. Brem, and Y. K. Ro. 2015b. Augmented reality smart glasses. Definition, conceptual insights, and managerial importance. University of Michigan—Dearborn, College of Business, unpublished working paper.

    Google Scholar 

  • Rauschnabel, P.A., und Y.K. Ro. 2016. Augmented reality smart glasses: An investigation of technology acceptance drivers. International Journal of Technology Marketing 11 (2): 123–148.

    Google Scholar 

  • Richter, A., J. Heidemann, M. Klier, and S. Behrendt. 2013. Success measurement of enterprise social networks. Wirtschaftsinformatik Proceedings 2013, Paper 20.

    Google Scholar 

  • Rogers, E. M. 1995. Diffusion of innovations. New York: Free Press.

    Google Scholar 

  • Terdiman, D. 2008. The entrepreneur’s guide to second life. Making money in the metaverse. Indianapolis: Wiley.

    Google Scholar 

  • Tomiuc, A. 2014. Navigating culture. Enhancing visitor museum experience through mobile technologies. From smartphone to google glass. Journal of Media Research 20 (3): 33–46.

    Google Scholar 

  • Tornatzky, L. G., and M. Fleischer. 1990. The processes of technological innovation. Issues in organization and management series. Lexington: Lexington Books.

    Google Scholar 

  • Tornatzky, L. G., and K. J. Klein. 1982. Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings. IEEE Transactions on Engineering Management EM-29 (1): 28–45.

    Google Scholar 

  • Turban, E., N. Bolloju, and T. P. Liang. 2011. Enterprise social networking. Opportunities, adoption, and risk mitigation. Journal of Organizational Computing and Electronic Commerce 21 (3): 202–220.

    Article  Google Scholar 

  • Turner, M., B. Kitchenham, P. Berereton, S. Charters, and D. Budgen. 2010. Does the technology acceptance model predict actual use? A systematic literature review. Information and Software Technology 52 (5): 463–479.

    Article  Google Scholar 

  • Venkatesh, V. 2000. Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research 11 (4): 342–365

    Google Scholar 

  • Venkatesh, V., and H. Bala. 2008. Technology acceptance model 3 and a research agenda on interventions. Decision Sciences 39 (2): 273–315.

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Venkatesh, V., M. G. Morris, G. B. Davis, and F. D. Davis. 2003. User acceptance technology. Toward a unified view. MIS Quarterly 27 (3): 425–478.

    Google Scholar 

  • Venkatesh, V., F.D. Davis, und M.G. Morris. 2007. Dead or Alive? The Development, Trajectory and Future of Technology Adoption Research. Journal of the Association for Information Systems (8:4): 267–286.

    Google Scholar 

  • Wall, D., W. Ray, R. D. Pathak, and S. M. Lin. 2014. A google glass application to support shoppers with dietary management of diabetes. Journal of diabetes science and technology 8 (6): 1245–1246.

    Article  Google Scholar 

  • Wojciechowski, R., K. Walczak, M. White, and W. Cellary. 2004. Building virtual and augmented reality museum exhibitions. 9th international conference on 3D Web technology, New York/United States. pp. 135–144.

    Google Scholar 

  • Yang, T., and Y. M. Choi. 2015. Study on the design characteristics of head mounted displays (HMD) for Use in guided repair and maintenance. Virtual, augmented and mixed reality. 7th international conference VAMR 2015 Los Angeles/California, pp. 535–543.

    Google Scholar 

  • Yi, M. Y., and Y. Hwang. 2003. Predicting the use of web-based information systems. Self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. International Journal of Human-Computer Studies 59 (4): 431–449.

    Article  Google Scholar 

  • Zhu, K., K. L. Kraemer, and S. Xu. 2006. The process of innovation assimilation by firms in different countries: A technology diffusion perspective on e-business. Management Science 52 (10): 1557–1576.

    Article  Google Scholar 

Download references

Acknowledgements

We gratefully thank Prof. Dr. Young Ro (The University of Michigan-Dearborn) for his valuable feedback on that manuscript and Flavia Munta (The University of Michigan-Dearborn) for research assistance.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Daniel W. E. Hein .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer Fachmedien Wiesbaden GmbH

About this chapter

Cite this chapter

Hein, D., Rauschnabel, P. (2016). Augmented Reality Smart Glasses and Knowledge Management: A Conceptual Framework for Enterprise Social Networks. In: Rossmann, A., Stei, G., Besch, M. (eds) Enterprise Social Networks. Springer Gabler, Wiesbaden. https://doi.org/10.1007/978-3-658-12652-0_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-658-12652-0_5

  • Published:

  • Publisher Name: Springer Gabler, Wiesbaden

  • Print ISBN: 978-3-658-12651-3

  • Online ISBN: 978-3-658-12652-0

  • eBook Packages: Business and Economics (German Language)

Publish with us

Policies and ethics