International Journal of Managing Information Technology (IJMIT)
ISSN: 0975-5586 (Online); 0975-5926 (Print)




Current Issue:
November 2018, Volume 10, Number 4
Table of Contents



Paper -01


Hybrid Role of Soft Innovation Resources : Finland's Notable Resurgence in the Digital Economy

 

Yuji Tou1, Chihiro Watanabe2,3, Kuniko Moriya2,4, Pekka Neittaanmaki2

 

1Tokyo Institute of Technology, Japan, 2University of Jyvaskyla, Finland, 3International Institute for Applied Systems Analysis (IIASA), Austria and 4Bank of Japan, Japan

ABSTRACT

Finland and Singapore are easy to compare, they are the same size and have similar positions as global digital leaders. however, their performance is differing a lot. from 2006 to 2013, Singapore’s GDP growth rate was tenfold compared to Finland. four years later, in 2017 Finland is exceeding the growth rate of Singapore. what are the reasons for the success of Finland? An empirical analysis of the factors contributing to GDP growth and the effects of the policy change was conducted. It was demonstrated that increase of export did not explain growth, but shifts in capital formation did. New dynamics was revealed that was triggered by the removal of structural impediments (hindrances) and by increasing use of soft innovation resources. The virtuous cycle of increase of uncaptured GDP, increased multifactor productivity and growth of tangible capital and GDP was described. An insightful suggestion for activating a hybrid role for soft innovation resources in the digital economy was thus provided.

KEYWORDS

Digital economy, soft innovation resources, multifactor productivity, competitiveness pact,    Finland and Singapore




REFERENCES

[1]     Department of Broadband, Communications and the Digital Economy (DBCDE), (2009) Digital Economy Future Directions, DBCDE, Camberra.

[2]     Watanabe, C., Naveed, K. & Zhao, W., (2015a) “New Paradigm of ICT Productivity: Increasing Role of Un-captured GDP and Growing Anger of Consumers,” Technology in Society, Vol.41, pp 21–44.

[3]     Watanabe, C., Naveed, K. &Neittaanmäki, P., (2015b) ”Dependency on Un-captured GDP as a Source of Resilience beyond Economic Value in Countries with Advanced ICT Infrastructure: Similarities and Disparities between Finland and Singapore,” Technology in Society, Vol. 42, pp 104–122.

[4]     Watanabe, C., Naveed, K., Neittaanmäki, P., Tou, Y., (2016) ”Operationalization of Un-captured GDP: The Innovation Stream under New Global Mega-trends,” Technology in Society, Vol. 45, 58–77.

[5]     Watanabe, C., Moriya, K., Tou, Y. &Neittaanmäki, P., (2018b) ”Consequences of the Digital Economy: Transformation of the Growth Concept,” International Journal of Managing Information Technology, Vol. 10, No. 2, pp 21-39.

[6]     Tou, Y., Moriya, K., Watanabe, C., Ilmola, L. &Neittaanmäki, P., (2018) ”Soft Innovation Resources: Enabler for Reversal in GDP Growth in the Digital Economy,” International Journal of Managing Information Technology, Vol. 10, No. 3, in print.

[7]     World Economic Forum (WEF), (2017) The Global Information Technology Report, 2017, WEF, Geneva.

[8]     Watanabe, C., Tou, Y. &Neittaanmäki, P., (2018c) ”A New Paradox of the Digital Economy: Structural Sources of the Limitation of GDP Statistics,” Technology in Society, in print.

[9]     Ylhainen, I., (2017) Challenges of Measuring the Digital Economy.

[10] McDonagh, D., Satisfying Needs beyond the Functional: The Changing Needs of the Silver Market Consumer. Presented at the International Symposium on the Silver Market Phenomenon – Business Opportunities and Responsibilities in the Aging Society, Tokyo, Japan.

[11] Statistics Finland, (2017) “Productivity Surveys,” Statistics Finland, Helsinki.

[12] Balcerzak, A.P. and Pietrzak, M.B., (2016) “Quality of Institutions and Total Factor Productivity in the European Union,” Statistics in Transition, Vol. 17, No. 3, 497-514.

[13] Nadiri, M.I. and Schankerman, M.A. (1981) "The Structure of Production, Technological Change, and the Rate of Growth of Total Factor Productivity in the U.S. Bell System. In T.G. Cowing and R.E. Stevenson (eds.) Productivity Measurement in Regulated Industries (Economic Theory, Econometrics, and Mathematical Economics) 219-247. Academic Press, New York.

[14] Milne, L., (2017) “Finland Nurses Its Economy Back to Health,” EU Economy.
       https://www.ft.com/content/73d66498-e19d-11e7-a8a4-0a1e63a52f9c

[15] IMF, (2018) “World Economic Outlook Database,” IMF, Washington.

[16] OECD, (2018) “OECD Database,” OECD, Paris.

[17] International Telecommunication Union (ITU), (2018) “World Telecommunication/ICT Indicators database, “ ITU, Geneva.

[18] Statistics Finland, (2018a) “National Accounts of Finland,” Statistics Finland, Helsinki.

[19] Naveed, K., Watanabe, C. &Neittaanmäki, P., (2018) ”The Transformative Direction of Innovation toward an IoT-based Society: Increasing Dependency on Uncaptured  GDP in Global ICT Firms,” Technology in Society, Vol.53, pp 23-46.

[20] Watanabe, C., Moriya, K., Tou, Y. &Neittaanmäki, P., (2018a) ”Structural Sources of a Productivity Decline in the Digital Economy,” International Journal of Managing Information Technology, Vol. 10, No. 1, pp 1-20.

[21] Bulow, J., (1986) “An Economic Theory of Planned Obsolescence,”Quarterly Journal of Economics, Vol. 101, 729-749.

[22] Aladeojebi, T.K., (2013) “Planned Obsolescence,”International Journal of Scientific & Engineering Research, Vol. 4, No. 6, 1504-1508.

[23] Chew, M., Watanabe, C. &Tou, Y., (2010) ”Technology Leapfrogging: Findings from Singapore’s Water Industry,” Journal of Technology Management for Growing Economies, Vol. 1, No. 2, 29-47.

[24] Watanabe, C., Naveed, K., Neittaanmäki, P., Fox, B., (2017) ”Consolidated Challenge to Social Demand for Resilient Platforms: Lessons from Uber’s Global Expansion,” Technology in Society, Vol. 48, 33–53.

[25] Watanabe, C., Naveed, K. &Neittaanmäki, P., (2016b) ”Co-evolution between Trust in Teachers and Higher Education toward Digitally-rich Learning Environments,”Technology in Society, Vol.48, pp 70–96.


[27] Statistics Finland, (2018c) “The Labor Market in Finland,” Statistics Finland, Helsinki.

[28] Statistics Finland, (2018d). “Statistics Finland’s PX-Web databases,” Statistics Finland, Helsinki.

[29] Watanabe, C., Naveed, K. &Neittaanmäki,P., (2017) ”ICT-driven Disruptive Innovation Nurtures Uncaptured GDP: Harnessing Woemen’s Potential as Untapped Resources,” Technology in Society, Vol.51, pp 81–101.

[30] Watanabe, C., Naveed, K., Neittaanmäki, P. &Tou, Y., (2016a) ”Co-evolution of Three Mega Trends Nature Uncaptured GDP: Uber’s Ride-sharing Revolution,” Technology in Society, Vol.46, pp 164–185.

[31] Naveed, K., Watanabe, C. &Neittaanmäki, P., (2017) ”Co-evolution between Streaming and Live Music Leads a Way to the Sustainable Growth of Music Industry:Lessons from the US Experiences,” Technology in Society, Vol.50, pp 1-19.


AUTHORS


   Yuji Tou graduated from Tokyo Institute of Technology, Japan, and is currently specially appointed associate
   professor at Tokyo Institute of Technology, Japan (tou.yuji@gmail.com).

Chihiro Watanabe graduated from the University of Tokyo, Japan, and is currently Professor Emeritus at
the Tokyo Institute of Technology, research professor at the University of Jyväskylä, Finland, and a research scholar at the International Institute for Applied Systems Analysis (IIASA). (watanabe.c.pqr@gmail.com).

  Leena Ilmola graduated from Aalto University School of Science and Technology, Finland, and now is
  currently Senior Researcher at the International Institute of Technology (IIASA), Austria (ilmola@iiasa.ac.at)

  Kuniko Moriya graduated from Aoyama Gakuin University, Japan, and is currently Director of the Bank of
  Japan, and a research scholar at the University of Jyväskylä, Finland (kuniko.moriya@boj.or.jp).

 Pekka Neittaanmäki graduated from the University of Jyväskylä with a degree in Mathematics. He is
 currently Professor of the Faculty of Information Technology, University of Jyväskylä, Finland.

Paper -02


Exploring Key Elements Required for Organizational Trust and the Consequential Impact on Knowledge Sharing within Organizations

Robin Zarine and Muhammad Saqib

Department of Computing, Middle East College, KOM, Muscat, Sultanate of Oman

ABSTRACT


This paper focuseson the status of organizational trust in Muscatand its impact on organizational learning (OL) which is based on the willingness of employees sharing knowledge gathered through experience to improve organizational performance and sustainable competitiveness [1].Online structured questionnaire and Microsoft Excel used to collect and analyze the data showed significant organizational trust exist within organizations including organizational transparency, management style, employees’ welfare and support, and job security. But still, minimalOL and sharing was happening contradicting theories that suggest organizational trust leads to important group collaboration, willingness of employees to share knowledge gathered through their experience and its close link to OL. Lack of compassion and being too controlling at timeswere also raisedas concerns and existing knowledge sharing technological support were also not having much impact. Bringing people together for more effective communications among teams and promoting knowledge sharing culture can lead the way.

KEYWORDS

  Organizational trust, Trust Management, Learning and knowledge sharing



REFERENCES

[1]        P. Drucker, "Knowledge-worker productivity: The biggest challenge," California Management Review, 1999.
[2]        D. Lee and A. D. Stajkovic, "Interpersonal trust and emotion as predictors of cooperation in work teams," 2005.
[3]        H. Tan and A. Lim, "Trust in Coworkers and Trust in Organizations," The Journal of Psychology, 2009.
[4]        J. O. Paliszkiewicz, "Trust Management: Literature Review," Management, vol. 6, no. 4, pp. 315-331, 2011.
[5]        M. Saunders, D. Skinner, G. Dietz, N. Gillespie, and R. Lewicki, Organizational Trust: A Cultural Perspective. New York: Cambridge University Press, 2010.
[6]        P. Shockley-Zalabak, K. Ellis, and G. Winograd, "Organizational trust: What it means, why it matters," Organization Development Journal, vol. 18, no. 4, pp. 35-48, 2000.
[7]        P. Szompta, Trust: A socialogical theory. Cambidge: Cambridge University Press, 1999.
[8]        K. Blomqvist, "TRUST IN KNOWLEDGE-BASED ORGANIZATIONS," School of Business, Lappeenranta University of Technology.
[9]        R. Nyhan and H. Marlowe, "Development and psychometric properties of the organizational trust inventory," 1997.
[10]      D. Khodyakov, "Trust as a process: A three-dimensional approach," Sociology, vol. 41, pp. 115-132, 2007.
[11]      J. Barbalet, "A characterization of trust and its consequences," Economic and research council, 2006.
[12]      D. Creed and R. Miles, Trust in Organizations: A Conceptual Framework Linking Organizational Forms, Managerial Philosophies, and the Opportunity Costs of Controls. 1996.
[13]      S. Ruohamaa and L. Kutvonen,  "Trust management survey," 2007.
[14]      C. Ardagna, E. Damiani, S. De Capitani di Vimercati, S. Foresti, and P. Samarati, "Trust Management," Springer Berlin Heidelberg, 2007.
[15]      E. Dursun,  "The relationship between organizational trust, organizational support and organizational commitment," African journal of Business Management, vol. 9, no. 4, Feb. 2015.
[16]      D. Den Hartog, M. Shippers, and P. Koopman, "THE IMPACT OF LEADER BEHAVIOUR ON TRUST IN MANAGEMENT AND CO-WORKERS," Journal of Industrial Psychology, 2002.
[17]      T. Gills, "More than a Social Virtue: Public Trust among Organizations’ Most Valuable Assets," Communication World, 2003.
[19]      R. Shaw, "Trust in the balance," San Francisco: Jossey-Bass, 1997.
[20]      W. King, "Knowledge management and organizational learning," Annals of Information Systems, 2009.
[21]      T. Tyler and R. & Kramer, "Whither trust?," Thousand Oaks, CA:Sage, 1996.
[22]      H. F. Lin, "Knowledge sharing and firm innovation capability: an empirical study," International Journal of manpower, vol. 28, no. 3/4, pp. :315-332, 2007.
[23]      M. Saqib, Z. M. Udin, and N. Baluch, "The Impact of Knowledge Management on Organizational Performance in Today’s Economy," South East Asian Journal of Contemporary Business, Economics and Law, vol. 12, no. 3, pp. 25-33, Apr. 2017.
[24]      B. D. Newman and K. W. Conrad, "A Framework for Characterizing Knowledge Management Methods, Practices, and Technologies," in International Conference on Practical Aspects of Knowledge Management, Basel, Switzerland, 2000, pp. 16-1-16-11. [Online].<a href="http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-34/ ">http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-34/ </a>
[25]      U. Sekaran and R. Bougie, Research Methods for Business: A Skill Building Approach. New York: John Wiley & Sons Inc., 2010.
[26]      W. l. Neuman, Social Research Methods: Qualitative and Quantitative Approaches, 3rd ed. Allyn and Bacon, 1997.
[27]      A. Bryman and E. Bell, Business Research Methods. New York: Oxford University Press Inc., 2003.
[28]      U. Sekaran and R. Bougie, Research Methods for Business: A Skill Building Approach . New York: John Wiley & Sons Inc., 2010.
[29]      G. Dietz and N. Gillespie, "Building and restoring organizational trust," The Institute of Business Ethics.
[30]      W. E. D. Creed and R. E.Miles, "Trust in Organizations:A Conceptual Framework Linking Organizational Forms, Managerial Philosophies and the Opportunity Costs of Controls," Trust in organizations: Frontiers of theory and research, 1996.

AUTHORS

Robin.jpg

Robin Zarine is a Senior Lecturer in Computer Science and ICT Management at the Middle East College in Oman. He is actively involved in the planning and the quality management of the institution. His research interest includes technological impact on pedagogy, adoption of technology within HEIs, organisational trust and knowledge management and sharing within organisations. He has published conference and journal papers.


Dr. Muhammad Saqib is Associated with MEC as Senior Lecturer and Program Manager for the last five years and involve with teaching and research for the last 12 years. His areas of interest are knowledge management and business intelligence, technology management and sustainable innovations. He has published a number of journal and conference papers.



Paper - 03

The Impact of Knowledge Management on the Function of Employee Performance Appraisals in Industrial Companies - Case Study
H. Obaidat and M. A. Otair

Amman Arab University, Jordan

ABSTRACT

The study aimed at identifying the impact of knowledge management on the function of employee performance appraisals (it is one of the most important functions of human resources management) in Jordanian industrial public shareholding companies, relying on the descriptive analytical approach. A questionnaire has been developed and distributed on individuals of the study sample consisting of managers of departments and sections of human resources in each company. The  number  of questionnaire retrieved and valid for statistical analysis (294) representing (86.5%) of the distributed questionnaires. In order to analyze the study sample, reliance was placed on descriptive statistics, represented in the arithmetic means and standard deviations, in addition to the multiple linear regression analysis in hypothesis testing. The study reached a number of findings, most importantly, the presence of statistically significant impact at the level of (α=0.05) for the knowledge management including its dimensions (knowledge generation, knowledge storage, knowledge sharing, knowledge application) on the function of employee performance appraisals in Jordanian industrial public shareholding companies. The study has recommended that the Jordanian industrial public shareholding companies should follow an efficient evaluation system capable of identifying the employees’ weaknesses.

KEYWORDS

Human resources management, Knowledge Management, Employee Performance Appraisals, Industrial Companies



REFERENCES

[1]     Aishoush, R. (2009). Knowledge Management and Strategy in Business Organizations.    Unpublished   PhD dissertation, Mohammed Khaydar University, Biskra, Algeria.

[2]     Al-Deeb E. (2010). Knowledge Management, Cairo, Egypt: The Arab Open Academy.

[3]     Al-kbaisi, S. (2011). Knowledge Management, Cairo-Egypt, Arab Organization for Administrative Development.

[4]     Al-Mudallal, A. (2012). The application of knowledge management in Palestinian governmental institutions and their impact on the level of performance. Unpublished M.Sc. Thesis, Islamic University, Palestine.

[5]     Al-Salem, M. and Saleh, A. (2003). Human Resource Management Strategic Approach. Amman-Jordan, World of Modern Books for Publishing and Distribution.

[6]     Altaweel, A. and Rasheed, H. (2005). The Impact of Information Technology on Knowledge Management Processes. Future Research Journal. Iraq, Issue 10.

[7]     Al-Yaseri, A. and Hussien, D. (2012). The Impact of Knowledge Management and Organizational Learning Processes on Strategic Performance An exploratory study of the views of a sample of administrative leaders at the universities of the Middle Euphrates. Iraq, Qadisiyah Journal of Administrative and Economic Sciences, Vol (14), Issue (1).

[8]     Al-zyadat, M. (2008). Contemporary Trends in Knowledge Management, 1st Edition, Amman-Jordan,  Dar Al Safa for Publishing and Distribution.

[9]     Bukowitz, W. and Williams, R. (2000), The Knowledge Management Fieldbook, London: Prentice Hall

[10] Darwazeh, S. (2008). The Relationship between Knowledge Management Requirements and Processes and their Impact on the Performance Excellence of Organizations.  Unpublished PhD Thesis. Jordan, Middle East University.

[11] Grover, V., and Davenport, T. (2001). General Perspectives on Knowledge Management. Journal of Management Information System, vol. 18, No. (1), pp. 5-21.

[12] Hmoud, K. (2010). Knowledge Organization, 1st Edition, Amman-Jordan, Al-Ahliyyah for Publishing & Distribution. 

[13] Nickols, F. (2000). "Knowledge in Knowledge Management." Knowledge Management Yearbook, Butterworth-Heinemann: Boston.

[14] Rollett, H. (2003), Knowledge management processes and technologies, Kluwer, Norwell.

[15] Sakeenah, M. and Abu Sin, A. (2013). Analysis of the reality of human resources strategy and its impact on performance in Sudanese telecommunications companies: Case Study of Sudan Telecom Company Limited. Journal of Economic Sciences, Vol. 14, Issue 1.

[16] Sekaran, U. (2003) Research Methods for Business: A Skill-Building Approach. 4th Edition, John Wiley & Sons, New York.

[17] Uriarte, A. (2008). Introduction to Knowledge Management, Jakarta, Indonesia: Asean Foundation.

[18] Wiig, K. (1993). Knowledge management foundations: thinking about thinking. How people and organizations create, represent and use knowledge. Arlington, TX: Schema Press.

[19] Wilkesmann, U., Wilkesmann, M., and Virgillito, A. (2007). Requirements for Knowledge Transfer in Hospitals How Can Knowledge Transfer be Supported in Hospitals?. Discussion papers des.

[20] Zweilef, M. (2001). Human Resource Management, Amman-Jordan, Dar AlFiker for printing,   publishing and distribution


Paper - 04

NEO OPEN INNOVATION IN THE DIGITAL ECONOMY: HARNESSING SOFT INNOVATION RESOURCES
Yuji Tou1, Chihiro Watanabe2, 3, Kuniko Moriya4, 5, Pekka Neittaanmaki6

1 Dept. of Ind. Engineering &Magm, Tokyo Institute of Technology, Tokyo, Japan
2, 5, 6Faculty of Information Technology, University of Jyvaskyla, Finland
3International Institute for Applied Systems Analysis (IIASA), Austria
4 Research and Statistics Department, Bank of Japan, Tokyo, Japan
6Faculty of Information Technology, University of Jyvaskyla, Finland

ABSTRACT

Successive increases in R&D that creates new functionality are essential for global competitiveness. However,unexpectedly, as a consequence of the two-faced nature of information and communication technology (ICT), excessive R&D results in a marginal productivity decline leading to a decrease in digital value creation. In order to overcome such a dilemma, global ICT firms have been endeavoring to transform themselves into disruptive business model. Neo open innovation that harnesses soft innovation resources may be a solution to this critical question. On the basis of an empirical analysis focusing on forefront endeavors to this dilemma by global ICT firms, this paper attempted to demonstrate the above hypothetical view. Noteworthy findings suggestive to transforming the traditional business model into disruptive innovation that satisfies people’s demand corresponding to their shift in preferences in the digital economy is thus provided. In addition, a new concept for R&D resources in the digital economy is postulated.

KEYWORDS

Digital economy, soft innovation resources, neo-open innovation, disruptive business model, transformation



REFERENCES

[1]        Tapscott, D., 1994. The Digital Economy: Promise and Peril in the Age of Networked Intelligence. McGraw-Hill, New York.

[2]        Department of Broadband, Communications and the Digital Economy (DBCDE), 2009. Digital Economy Future Directions. DBCDE, Camberra.

[3]        Watanabe, C., Naveed, K., Zhao, W., 2015a. New Paradigm of ICT Productivity: Increasing Role of Un-captured GDP and Growing Anger of Consumers. Technology in Society41, 21–44.

[4]        Bloomberg, 2017. 2017 Global Innovation 1000 Study. Bloomberg, New York.

[5]        Fox, J., 2018. Amazon, the Biggest R&D Spender, Does Not Believe in R&D, Bloomberg Opinion,
13     April      2018. https://www.bloomberg.com/view/articles/2018-04-12/amazon-doesn-t-believe-in- research-and-development-spending (retrieved 22.09.2018).


[7]        Watanabe, C., Shin, J.H., Heikkinen, J., Zhao, W. and Griffy-Brown, C., 2011. New Functionality Development through Follower Substitution for a Leader in Open Innovation. Technological Forecasting and Social Change 78 (1), 116-131.

[8]        Prahalad, C.K., 2004. The Fortune at the Bottom of the Pyramid. Watson School of Publishing, Washington, D.C.

[9]        OECD, 2016. OECD Observer: The Digital Economy. OECD, Paris.

[10]    Pew Research Center, 2016. Smartphone Ownership and Internet Usage Continues to Climb in Emerging Economies. Pew Research Center, Washington, D.C.

[11]    Ministry of Internal Affairs and Communication (MIC), 2011. White Paper on Japan’s Information and Communication. MIC, Tokyo.

[12]    UNESCO, 2015. Countries of All Income Levels Nurturing a Digital Economy. UNESCO Science Report: towards 2030. UNESCO, Paris.

[13]    Naveed, K., Watanabe, C. &Neittaanmäki, P., 2018. The Transformative Direction of Innovation toward an IoT-based Society: Increasing Dependency on Uncaptured GDP in Global ICT Firms. Technology in Society 53, 23-46.

[14]    Watanabe, C., Moriya, K., Tou, Y., Neittaanmäki, P., 2018a. Structural Sources of a Productivity Decline in the Digital Economy. International Journal of Managing Information Technology 10 (1), 1-20.
[15]    Tou, Y., Moriya, K., Watanabe, C., Ilmola, L. &Neittaanmäki, P., 2018a. Soft Innovation Resources: Enabler for Reversal in GDP Growth in the Digital Economy. International Journal of Managing Information Technology 10 (3), 9-28.
[16]    Tou, Y., Watanabe, C., Ilmola, L. Moriya, K., &Neittaanmäki, P., 2018b. Hybrid Role of Soft Innovation Resources: Finland’s Notable Resurgence in the Digital Economy International Journal of Managing Information Technology 10 (4), in print.


[17]    Watanabe, C., Kondo, R., Ouchi, N., Wei, H. and Griffy-Brown, C., 2004. Institutional Elasticity as a Significant Driver of IT Functionality Development. Technological Forecasting and Social Change 71 (7), 723-750.

[18]    Schelling, T.C., 1998. Social mechanisms and social dynamics, in Hedstrom, P. and Swedberg, R. eds., Social Mechanisms: An Analytical Approach to Social Theory. Cambridge Univ. Press, Cambridge, 32-43.

[19]    Watanabe, C., 2009. Managing Innovation in Japan: The Role Institutions Play in Helping or Hindering How Companies Develop Technology. Springer, Berlin.

[20]    Watanabe, C., Lei, S. and Ouchi, N., 2009. Fusing Indigenous Technology Development and Market Learning for Greater Functionality Development: An Empirical Analysis of the Growth Trajectory of Canon Printers. Technovation, 29 (2), 265-283.

[21]    Watanabe, C., Naveed, K. &Neittaanmäki, P., 2017. ICT-driven Disruptive Innovation Nurtures Uncaptured GDP: Harnessing Woemen’s Potential as Untapped Resources. Technology in Society51, 81–101.

[22]    Watanabe, C., Moriya, K., Tou, Y. &Neittaanmäki, P., 2018b. Consequences of the Digital Economy: Transformation of the Growth Concept. International Journal of Managing Information Technology10 (2), 21-39.

[23]    McDonagh, D., 2008. Satisfying Needs beyond the Functional: The Changing Needs of the Silver Market Consumer. Presented at the International Symposium on the Silver Market Phenomenon – Business Opportunities and Responsibilities in the Aging Society, Tokyo, Japan.

[24]    Watanabe, C., Naveed, K., Neittaanmäki, P. &Tou, Y., 2016b. Co-evolution of Three Mega Trends Nature Uncaptured GDP: Uber’s Ride-sharing Revolution. Technology in Society 46, 164–185.

[25]    Watanabe, C., Naveed, K. &Neittaanmäki, P., 2016c. Co-evolution between Trust in Teachers and Higher Education toward Digitally-rich Learning Environments. Technology in Society 48, 70–96.

[26]    Naveed, K., Watanabe, C., Neittaanmäki, P., 2017. Co-evolution between Streaming and Live Music Leads a Way to the Sustainable Growth of Music Industry: Lessons from the US Experiences. Technology in Society50, 1-19.
[27]    Kenney, M., 2013. The Growth and Development of the Internet in the United States. In: Cogut B,  Ed. The Global Internet Economy. MIT Press, Massachusetts.

[28]    Watanabe, C., Naveed, N. &Neittaanmäki, P., 2018c. Digital Solution Transform the Forest-based Bioeconomy into a Digital Platform Industry: A Suggestion for a Disruptive Business Model in the Digital Economy. Technology in Society54, 168-188.

[29]   Galloway, S., 2017. The Hidden DNA of Amazon, Apple, Facebook, and Google. Penguin Random    House LLC, New York.

[30]    Amazon, 2017. Annual Report 2016. Amazon, Seattle.https://ir.aboutamazon.com/static- files/380785a4-779c-4252-897b-539d3ef70680(retrieved05.09.2018).

AUTHOR


 Yuji Tou graduated from Tokyo Institute of Technology, Japan, and is currently specially appointed associate
  professor at Tokyo Institute of Technology, Japan (tou.yuji@gmail.com).

Chihiro Watanabe graduated from the University of Tokyo, Japan, and is currently Professor Emeritus at
the Tokyo Institute of Technology, research professor at the University of Jyväskylä, Finland, and a research scholar at the International Institute for Applied Systems Analysis (IIASA). (watanabe.c.pqr@gmail.com).

 Kuniko Moriya graduated from Aoyama Gakuin University, Japan, and is currently Director of the Bank of
 Japan, and a research scholar at the University of Jyväskylä, Finland  (kuniko.moriya@boj.or.jp).

 Pekka Neittaanmäki graduated from the University of Jyväskylä with a degree in Mathematics. He is
 currently Professor of the Faculty of Information Technology, University of Jyväskylä, Finland.































Comments

Popular posts from this blog

Engineering Life Cycle Enables Penetration Testing and Cyber Operations

Network Media Attention and Green Technology Innovation