Abstract
Strategic knowledge arbitrage and serendipity (SKARSE) in business management is essential in a knowledge economy. There are various models which support this statement including strategies, architecture, resources, systems, technology, intellectual capital, and knowledge management. The chapter will also provide support to position SKARSE as a direct means for organizations and their respective leaders to navigate through the technological revolution. This includes advancements in information and communication technology (ICT), mobile technologies, and smartphone technologies. The chapter will conclude by linking all topics that have been introduced thus far, both individually and collectively.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Antonelli, C. (2010). Working paper series: The economic complexity of technology and innovation. A review article of The nature of technology. What it is and how it evolves, by Arthur, W. B. Free Press, New York. Working Paper No. 3/2010, Department of Economics, Universita di Torino.
Arrow, K. J. (1962). The economic implications of learning by doing. The Review of Economic Studies, 29(3), 155–173.
Berman, E., & Machin, S. (2000). Skill-biased technology transfer around the world. Oxford Review of Economic Policy, 16(3), 12–22.
Carayannis, E. G. (2008). Knowledge-driven creative destruction, or leveraging knowledge for competitive advantage: Strategic knowledge arbitrage and serendipity as real options drivers triggered by co-opetition, co-evolution and co-specialization. Industry & Higher Education, 22(6), 1–11.
Carayannis, E. G. (2013). Strategic knowledge arbitrage and serendipity (SKARSE™) in action. The Voice of Technology, Winter, 34–35.
Carayannis, E. G., & Stewart, M. R. (2013). Obsessed maniacs and clairvoyant oracles: Empirically validated patterns of entrepreneurial behavior. Journal of Innovation and Entrepreneurship, 2(2), 1–24.
Carayannis, E. G., Provance, M., & Givens, N. (2011). Knowledge arbitrage, serendipity, and acquisition formality: Their effects on sustainable entrepreneurial activity in regions. IEEE Transactions on Engineering Management, 58(3), 564–577.
Clough, G., Jones, A. C., McAndrew, P., & Scanlon, E. (2007). Informal learning with PDAs and Smartphones. Journal of Computer Assisted Learning, 24, 359–371.
Danneels, E. (2007). The process of technological competence leveraging. Strategic Management Journal, 28, 511–533.
Dosi, G., & Grazzi, M. (2010). On the nature of technologies: Knowledge, procedures, artifacts and production inputs. Cambridge Journal of Economics, 34, 173–184.
Eng, T. Y. (2005). The effects of learning on relationship value in a Business Network Context. Journal of Business-to-Business Marketing, 12(4), 67–101.
Foster, A., & Ford, N. (2003). Serendipity and information seeking: An empirical study. Journal of Documentation, 59(3), 321–340.
Freeman, C., Soete, L., & Efendioglu, U. (1995). Diffusion and the employment effects of information and communication technology: New technologies: Job creation and destruction. International Labour Organization, 134(4–5), 587–603.
Geng, H., Lin, L., & Whinston, A. B. (2009). Effects of organizational learning and knowledge transfer on investment decisions under uncertainty. Journal of Management Information Systems, 26(2), 123–145.
Hemp, P. (2009). Death by information overload: New research and novel techniques offer a lifetime to you and your organization. Harvard Business Review, 3, 83–89.
Holtshouse, D. (2009). The future of knowledge workers. KM World, 18(9), 1–18.
Huang, E. Y., & Wei Lin, S. (2009). Do knowledge workers use e-mail wisely? Journal of Computer Information Systems, 50(1), 65–73.
Huseby, T., & Chou, S. T. (2003). Applying a knowledge-focused management philosophy to immature economies. Industrial Management & Data Systems, 103(2), 126–132.
Ibarra, H., & Hunter, M. (2007). How leaders create and use networks. Harvard Business Review, 85(1), 40–47.
Ito, K., & Lechevalier, S. (2010). Why some firms persistently out-perform others: Investing the interactions between innovation and exporting strategies. Industrial and Corporate Change, 19(6), 1997–2039.
Jafari, M., Akhavan, P., & Ashraf, M. (2009). A review on knowledge management discipline. Journal of Knowledge Management Practice, 10(1), 1–23.
Kerin, R. A., Varadarajan, R., & Peterson, R. A. (1992). First-mover advantage: A synthesis, conceptual framework, and research propositions. Journal of Marketing, 56, 33–52.
Kim, S. H. (2008). Moderating effects of job relevance and experience on mobile wireless technology acceptance: Adoption of a smartphone by individuals. Information Management, 45(6), 387–393.
Kuhn, T. S. (1970). The structure of scientific revolutions. Chicago, IL: University of Chicago Press.
Liang, L. T., Huang, C. W., Yeh, Y. H., & Lin, B. (2007). Adoption of mobile technology in business: A fit-viability model. Industrial Management & Data Systems, 107(8), 1154–1169.
Liaw, S. S., Hatala, M., & Huang, H. M. (2010). Investing acceptance toward mobile learning to assist individual knowledge management: Based on activity theory approach. Computers & Education, 54(2), 446–454.
Metaxiotis, K., Ergazakis, K., & Psarras, J. (2005). Exploring the world of knowledge management: Agreements and disagreements in the academic/practitioner community. Journal of Knowledge Management, 9(2), 6–18.
Nonaka, I. (1994). A dynamic theory of organizational knowledge creation. Organization Science, 5(1), 14–37.
Nonaka, I., Toyama, R., & Konno, N. (2000). SECI, ba and leadership: A unified model of dynamic knowledge creation. Long Range Planning, 33(1), 5–34.
Pentland, D., Forsyth, K., Maciver, D., Walsh, M., Murray, R., Irvine, L., et al. (2011). Key characteristics of knowledge transfer and exchange in healthcare: Integrative literature review. Journal of Advanced Nursing, 67(7), 1408–1425.
Raento, M., Oulasvirta, A., & Eagle, N. (2009). Smartphones: An emerging tool for social scientists. Sociological Methods & Research, 37(3), 426–454.
Rahmandad, H. (2008). Effect of delays on complexity of organizational learning. Management Science, 54(7), 1297–1312.
Sharples, M., Corlett, D., & Westmancott, O. (2002). The design and implementation of a mobile learning resource. Personal and Ubiquitous Computing, 6, 220–234.
Song, J., Almeida, P., & Wu, G. (2003). Learning-by-hiring: When is mobility more likely to facilitate interfirm knowledge transfer? Management Science, 49(4), 351–365.
Teece, D. J. (1986). Profiting from technological innovation: Implications for integration, collaboration, licensing and public policy. Research Policy, 15, 285–305.
Thomas, B., Sparkes, B. T., Brooksbank, D., & Williams, R. (2002). Social aspects of the impact of information and communication technologies on agri-food SMEs in Wales. Outlook on Agriculture, 31(1), 35–41.
Vavoula, G., & Sharples, M. (2009). Lifelong learning organisers: Requirements for tools for supporting episodic & semantic learning. Educational Technology & Society, 12(3), 82–97.
Westerlund, M., & Rajala, R. (2010). Learning and innovation in inter-organizational network collaboration. Journal of Business and Industrial Marketing, 25(6), 435–442.
Zyl, A. S. (2009). The impact of social networking 2.0 on organizations. The Electronic Library, 27(6), 906–918.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2018 The Author(s)
About this chapter
Cite this chapter
Clark, S.C., Valvi, T. (2018). SKARSE in Business Management. In: Wireless Mobility in Organizations. Palgrave Studies in Democracy, Innovation, and Entrepreneurship for Growth. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-319-42249-7_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-42249-7_5
Published:
Publisher Name: Palgrave Macmillan, Cham
Print ISBN: 978-3-319-42248-0
Online ISBN: 978-3-319-42249-7
eBook Packages: Business and ManagementBusiness and Management (R0)