TRENDS IN MANAGING INFORMATION TECHNOLOGY IN 2020 INTERNATIONAL JOURNAL OF MANAGING INFORMATION TECHNOLOGY (IJMIT) ISSN: 0975-5586 (Online); 0975 - 5926 (Print)
http://airccse.org/journal/ijmit/ijmit.html
CO-EVOLUTION BETWEEN CCC-DRIVEN CASH FLOW MANAGEMENT AND TRANSFORMATION OF R&D – AMAZON’S ENDEAVOR Yuji Tou1, Chihiro Watanabe 2,3, Pekka Neittaanmäki2, 1Tokyo Institute of Technology, Japan, 2 University of Jyväskylä, Finland and 3International Institute for Applied Systems Analysis (IIASA), Austria ABSTRACT Amazon became the world R&D leader in 2017 by rapidly increasing R&D investment. The company’s extremely large amount of R&D funds is the result of an ample free cash flow generated by sophisticated cash conversion cycle (CCC) management. Increased R&D induced business advancement and lean cost structure construction leading to further increase in cash flow which has stimulated interaction between vendors, customers, and Amazon via the Amazon marketplace. Activated interaction accelerated CCC advancement, a subsequent free cash flow increase, and user-driven innovation, thus accelerated the transformation of routine and periodic alteration activities into significant improvement simultaneously. All of these components function together as a consolidated sophisticated machine. In light of the increasing concern to R&D resources development without the dilemma of a productivity decline that most digital economies are now confronting, this paper demonstrated the above hypothetical view. An intensive empirical analysis focusing on the development trajectory of Amazon’s technofinancing system over a period from 1997 to 2018 was conducted. An insightful suggestion to neo open innovation that fuses financing management and R&D management was thus provided KEYWORDS R&D, Transformation, Cash flow management, Cash conversion cycle, Amazon FULL TEXT: http://aircconline.com/ijmit/V11N3/11319ijmit01.pdf
ABSTRACT URL: http://aircconline.com/abstract/ijmit/v11n3/11319ijmit01.html
REFERENCES [1] Tou, Y., Watanabe, C., Moriya, K., & Neittaanmäki, P., 2018. Neo Open Innovation in the Digital Economy: Harnessing Soft Innovation Resources. International Journal of Managing Information Technology 10 (4), 53-75. [2] Tou, Y., Watanabe, C., Moriya, K., & Neittaanmäki, P., 2019b. Harnessing Soft Innovation Resources Leads to Neo Open Innovation. Technology in Society, in print. [3] Tou, Y., Watanabe, C., Moriya, K., Vurpillat, V., & Neittaanmäki, P., 2019a. A New Concept of R&D in Neo Open Innovation: Transformation of R&D Triggered by Amazon. International Journal of Managing Information Technology 11 (1) 17-35. [4] Tou, Y., Watanabe, C., Moriya, K., Naveed, N., Vurpillat, V., & Neittaanmäki, P., 2019c. The Transformation of R&D into Neo Open Innovation: A New Concept of R&D Endeavor Triggered by Amazon. Technology in Society 47, in print. [5] Price, R., 2013. Cash Flow at Amazon.Com. Accounting Education 28 (2), 353-374. [6] Fox, J., 2014. At Amazon, It’s All About Cash Flow. Finance & Accounting, 20 Oct. 2014. https://hbr.org/resources/images/article_assets/2014/10/inadifferentleague.png (retrieved 26.06.2019). [7] Naruge, M., 2018. Amazon, The World Top Strategy. Diamond Co., Tokyo. [8] 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. [9] Knott, A.M., 2017. How Innovation Really Works: Using the Trillion-Dollar R&D fix to Drive Growth. McGraw Hill, New York. [10] Galloway, S., 2017. The Hidden DNA of Amazon, Apple, Facebook, and Google. Penguin Random House LLC, New York. [11] Watanabe, C. & Tou, Y., 2019. Transformative Direction of R&D: Lessons from Amazon’s Endeavor. Technovation, in print. [12] Amazon, 2018. Amazon.Com. Inc. Annual Report 2017. Amazon.Com, Inc., Seattle. http://www.annualreports.com/Company/amazoncom-inc (retrieved 06.01.2019). [13] Amazon, 2019a. Amazon.Com. Inc. Annual Report 2018. Amazon.Com, Inc., Seattle. https://ir.aboutamazon.com/static-files/0f9e36b1-7e1e-4b52-be17-145dc9d8b5ec(retrieved 02.07.2019). [14] Bloomberg, 2018. 2018 Global Innovation 1000 Study. Bloomberg, New York. [15] Bezos, J.P., 2005. 2004 Letter to Shareholders. Amazon.com, Inc., Seattle. [16] Amazon, 2019b. Amazon.com, Inc,, Income Statement. https://fairlyvalued.com/company/AMZN (retrieved 02.07.2019).
Amazon.Com.
Inc.,
Seattle.
[17] Panigrahi, A.K., 2013. Cash Conversion Cycle and Firms’ Profitability. International Journal of Current Research 6, 1484-1488. [18] Zakari, M. and Saidu, S., 2016. The Impact of Cash Conversion Cycle on Firm Profittability: Evidence from Nigerian Listed Telecommunication Companies. Journal of Finance and Accounting 4 (6), 342-350. [19] Zeidan, R. and Shapir, O.M., 2017. Cash Conversion Cycle and Value-enhancing Operations: Theory and Evidence for a Free Lunch. Journal of Corporate Finance 45, 203-219.
[20] Uenlue, M., 2018. Amazon Business Model: Three Customer Value Propositions. Innovation Tactics, 22 August 2018. https://www.innovationtactics.com/amazon-business-model-part-2/(retrieved 10.06.2019). [21] Watanabe, C. and Tou, Y., 2003. An Empirical Analysis on the R&D Investment Inducing System in Japanese-style Management. Research Policy and Technology Management 16 (3/4), 184- 202. [22] Bloch, C., 2005. R&D Investment and Internal Finance: The Cash Flow Effect. Economics of Innovation and New Technology, 14 (3), 213-223. [23] Hong, A., Bhattacharyya, D. and Geis, G.T., 2013. The Role of M&A in Market Convergence: Amazon, Apple, Google and Microsoft. Global Economy and Finance Journal 6 (1), 53-73
NATIONAL CULTURAL DIMENSIONS AND ELECTRONIC CLINICAL RECORDS ACCEPTANCE: AN EXPLORATORY STUDY Ouiame BENALI IDRISSI and Khalid CHAFIK, Abdelmalek Essaadi University, Morocco ABSTRACT The purpose of the present paper is to describe the development of a measurement scale, to assess the impact of the national cultural factors on the electronic clinical records acceptance in the Ibn Sina Hospital Center(CHUIS)in Morocco. The methodology assumed is based on the Churchill paradigm (1979).Thus, our contribution focuses on the exploratory phase, where the items have been analysed using principal components analysis (PCA) and internal consistency with Cronbach’s Alpha (α). The results show a satisfactory factorial structure and excellent reliability of all the items. KEYWORDS National culture- technology acceptance- exploratory factor analysis- measurement scalereliability. FULL TEXT: http://aircconline.com/ijmit/V11N3/11319ijmit02.pdf ABSTRACT URL: http://aircconline.com/abstract/ijmit/v11n3/11319ijmit02.html
REFERENCES [1] Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211. [2] Al-Sukkar, A. S. (2005). The application of information systems in the Jordanian banking sector: a study of the acceptance of the internet. [3] Bem, S. L. (1981). Gender schema theory: A cognitive account of sex typing. Psychological review, 88(4), 354. [4] Burton, L. J., & Mazerolle, S. M. (2011). Survey instrument validity part I: Principles of survey instrument development and validation in athletic training education research. Athletic Training Education Journal, 6(1), 27-35. [5] Carl, D., Gupta, V. and Javidan, M. (2004) ‘Power Distance’, in R.J. House, P.J. Hanges, M. Javidan, P.W. Dorfman and V. Gupta (eds.) Culture, Leadership, and Organizations: The GLOBE Study of 62 Societies, Sage: Thousand Oaks, CA, pp: 513–563. [6] Carricano, M., Poujol, F., &Bertrandias, L. (2010). Analyse de données avec SPSS®. Pearson Education France. [7] Chang, M. K. (1998). Predicting unethical behavior: a comparison of the theory of reasoned action and the theory of planned behavior. Journal of business ethics, 17(16), 1825-1834. [8] Child, D. (2006). The essentials of factor analysis. A&C Black. [9] Churchill Jr, G. A. (1979). A paradigm for developing better measures of marketing constructs. Journal of marketing research, 16(1), 64-73. [10] Cyr, D., Gefen, D., &Walczuch, R. (2017). Exploring the relative impact of biological sex and masculinity–femininity values on information technology use. Behaviour & Information Technology, 36(2), 178-193. [11] Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340. [12] Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers’ product evaluations. Journal of marketing research, 28(3), 307-319. [13] Eagly, A. H., &Chaiken, S. (1993). The psychology of attitudes. Harcourt Brace Jovanovich College Publishers. [14] Escobar-Rodríguez, T., &Bartual-Sopena, L. (2015). Impact of cultural factors on attitude toward using ERP systems in public hospitals. Revista de Contabilidad, 18(2), 127-137 [15] Evrard, Y., Pras, B., Roux, E., Desmet, P., Dussaix, A. M., &Lilien, G. L. (2009). MarketFondements et méthodes des recherches en marketing (No. hal-00490724). [16] Fishbein, M., &Ajzen, I. (1975). Intention and Behavior: An introduction to theory and research. [17] Fishbein, M., &Ajzen, I. (1980). Predicting and understanding consumer behavior: Attitudebehavior correspondence. Understanding attitudes and predicting social behavior, 148-172. [18] Franke, R. H., Hofstede, G., & Bond, M. H. (1991). Cultural roots of economic performance: A research notea. Strategic management journal, 12(S1), 165-173. [19] Galtier, V. (2005). Comment mesurer l’apprentissage de groupe? Construction d’une échelle de mesure bi-dimensionnelle (No. 123456789/4244). Paris Dauphine University. [20] Gururajan, R., Toleman, M., & Soar, J. (2004). Necessity for a new technology acceptance model to predict adoption of wireless technology in healthcare. HIC 2004: Proceedings, 87.
[21] Hofstede, G. (1980). Motivation, leadership, and organization: do American theories apply abroad?. Organizational dynamics, 9(1), 42-63. [22] Hofstede, G. (1984). Culture's consequences: International differences in work-related values (Vol. 5). sage. [23] Hofstede, G., & Bond, M. H. (1988). The Confucius connection: From cultural roots to economic growth. Organizational dynamics, 16(4), 5-21. [24] Hofstede, G., Hofstede, G. H., & Arrindell, W. A. (1998). Masculinity and femininity: The taboo dimension of national cultures (Vol. 3). Sage. [25] House, R. J., Hanges, P. J., Javidan, M., Dorfman, P. W., & Gupta, V. (Eds.). (2004). Culture, leadership, and organizations: The GLOBE study of 62 societies. Sage publications. [26] Hu, P. J., Chau, P. Y., Sheng, O. R. L., & Tam, K. Y. (1999). Examining the technology acceptance model using physician acceptance of telemedicine technology. Journal of management information systems, 16(2), 91-112. [27] Hubona, G. S., &Geitz, S. (1997, January). External variables, beliefs, attitudes and information technology usage behavior. In Proceedings of the thirtieth Hawaii international conference on system sciences (Vol. 3, pp. 21-28). IEEE. [28] Jolibert, A., & Jourdan, P. (2006). Marketing research: méthodes de recherche et d'études en marketing. Dunod.s [29] Jolliffe, I. (2011). Principal component analysis (pp. 1094-1096). Springer Berlin Heidelberg. [30] Mitchell, A. A., & Olson, J. C. (1981). Are product attribute beliefs the only mediator of advertising effects on brand attitude?. Journal of marketing research, 18(3), 318-332. [31] Moores, T. T. (2012). Towards an integrated model of IT acceptance in healthcare. Decision Support Systems, 53(3), 507-516. [32] Ouiame, B. I., & Khalid, C. Understanding the Impact of the Cultural Factors on Hospital Information System Acceptance: A Literature Review and Proposal of a New Model. [33] OumlilR.(2010). Modèle de prédiction de l’appropriation des technologies de l’information et de la communication et des systèmes d’information par les professionnels de soins : cas de la ville d’Agadir, (Doctoral dissertation, Université Ibn Zohr Agadir, Maroc). [34] Pai, F. Y., & Huang, K. I. (2011). Applying the technology acceptance model to the introduction of healthcare information systems. Technological Forecasting and Social Change, 78(4), 650-660. [35] Pelegrín-Borondo, J., Reinares-Lara, E., &Olarte-Pascual, C. (2017). Assessing the acceptance of technological implants (the cyborg): Evidences and challenges. Computers in Human Behavior, 70, 104112. [36] Pett, M. A., Lackey, N. R., & Sullivan, J. J. (2003). Making sense of factor analysis: The use of facto analysis for instrument development in health care research. Sage. [37] Roussel, P., &Wacheux, F. (2005). Management des ressources humaines: Méthodes de recherche en sciences humaines et sociales. De BoeckSupérieur. [38] Schaper, L. K., &Pervan, G. P. (2007). ICT and OTs: A model of information and communication technology acceptance and utilisation by occupational therapists. International journal of medical informatics, 76, S212-S221. [39] Srite, M., &Karahanna, E. (2006). The role of espoused national cultural values in technology acceptance. MIS quarterly, 679-704. [40] Streiner, D. L. (2003). Starting at the beginning: an introduction to coefficient alpha and internal consistency. Journal of personalityassessment, 80(1), 99-103.
[41] Thiétart, R. A. (2014). Méthodes de recherche en management-4ème édition. Dunod. [42] Thompson, B. (2004). Exploratory and confirmatory factor analysis: Understanding concepts and applications. American Psychological Association. [43] Triandis, H. C. (1979). Values, attitudes, and interpersonal behavior. In Nebraska symposium on motivation. University of Nebraska Press. [44] Tung, F. C., Chang, S. C., & Chou, C. M. (2008). An extension of trust and TAM model with IDT in the adoption of the electronic logistics information system in HIS in the medical industry. International journal of medical informatics, 77(5), 324-335. [45] Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204. [46] Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478. [47] Weir, J. P. (2005). Quantifying test-retest reliability using the intraclass correlation coefficient and the SEM. The Journal of Strength & Conditioning Research, 19(1), 231-240. [48] Wu, J. H., Wang, S. C., & Lin, L. M. (2007). Mobile computing acceptance factors in the healthcare industry: A structural equation model. International journal of medical informatics, 76(1), 66-77. [49] Wu, L., Li, J. Y., & Fu, C. Y. (2011). The adoption of mobile healthcare by hospital's professionals: An integrative perspective. Decision support systems, 51(3), 587-596. [50] Yong, A. G., & Pearce, S. (2013). A beginner’s guide to factor analysis: Focusing on exploratory factor analysis. Tutorials in quantitative methods for psychology, 9(2), 79-94
A NEW CONCEPT OF R&D IN NEO OPEN INNOVATION TRANSFORMATION OF R&D TRIGGERED BY AMAZON Yuji Tou1, Chihiro Watanabe 2, 3, Kuniko Moriya 2, 4, Victor Vurpillat5, Pekka Neittaanmäki2, 1
Tokyo Institute of Technology, Japan 2
University of Jyväskylä, Finland,
3
International Institute for Applied Systems Analysis (IIASA), Austria, 4
Research and Statistics Department, Bank of Japan, Japan and 5
Global Connexus Inc., USA
ABSTRACT Amazon was the world’s top R&D firm in 2017. Its R&D investment was double that of 2015, quintuple that of 2012, and tenfold that of 2011. It deploys a unique R&D model as conducting “routine or periodic alternations” and “significant improvement” simultaneously. Since traditionally the former is classified as non-R&D, Amazon’s rapid and notable increase has raised the question of a new R&D definition in the digital economy. By means of an empirical analysis of the Amazon’s R&D model, this paper attempted to provide a convincing answer to this question. Amazon has invested considerable resources in extremely innovative business areas, which has developed its assimilation capacity. In parallel with such forefront innovation, Amazon is endeavoring to absorb soft innovation resources from external markets and assimilate them into its business model. This then transforms “routine or periodic alternations” into “significant improvement”, leading to the company becoming the world’s top R&D firm. Such an endeavor has triggered a new concept of R&D in neo open innovation and revealed the significance of a transformation of the R&D concept in the digital economy. KEYWORDS R&D, neo open innovation, Amazon, transformation, technology and content FULL TEXT: http://aircconline.com/ijmit/V11N1/11119ijmit02.pdf ABSTRACT URL: http://aircconline.com/abstract/ijmit/v11n1/11119ijmit02.html
REFERENCES [1] Tou, Y., Watanabe, C., Moriya, K., & Neittaanmäki, P., 2018. Neo Open Innovation in the Digital Economy: Harnessing Soft Innovation Resources. International Journal of Managing Information Technology 10 (4), 53-75. [2] Bloomberg, 2017. 2017 Global Innovation 1000 Study. Bloomberg, New York. [3] 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) [4] Gershgorn, D., 2018. Amazon’s R&D Spending is Poised to Top the GDP of Iceland. Quarts, 28 December 2018. [5] World Bank, 2018. National Accounts Data. World Bank, Washington, D.C. [6] Watanabe, C., Tou, Y. & Neittaanmäki, P., 2018b. A New Paradox of the Digital Economy: Structural Sources of the Limitation of GDP Statistics, Technology in Society 55, 9-33. [7] Watanabe, C., Naveed, K., Tou, Y. & Neittaanmäki, P., 2018c. Measuring GDP in the Digital Economy: Increasing Dependence on Uncaptured GDP. Technological Forecasting and Social Change 137, 226-240. [8] Watanabe, C., Naveed, K., Neittaanmäki, P., 2015. 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 42, 104–122. [9] 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 45, 58–77. [10] Galloway, S., 2017. The Hidden DNA of Amazon, Apple, Facebook, and Google. Penguin Random House LLC, New York. [11] 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. [12] 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. [13] Knott, A.M., 2017. How Innovation Really Works: Using the Trillion-Dollar R&D fix to Drive Growth. McGraw Hill, New York. [14] Green, T., 2018. How Much does Amazon Spend on R&D? Less than You Think. The Motley Fool, 13 June 2018. https://www.fool.com/investing/2018/06/13/how-much-does-amazon-spend-on-rd-less than-you-thi.aspx (retrieved 10.01.2019). [15] Amazon, 2018a. Amazon Com. Inc. Annual Report 2017. Amazon.Com, Inc., Seattle. http://www.annualreports.com/Company/amazoncom-inc (retrieved 06.01.2019). [16] Amazon, 2018b. Amazon Leadership Principles. https://www.amazon.jobs/en/principles (retrieved 20.11.2018).
Amazon.Com,
Inc.,
[17] Apple, 2018. Apple Inc. Annual Report 2017. Apple Inc., https://investor.apple.com/investor-relations/financial-information/(retrieved 06.01.2019).
Seattle. Cupertino.
[18] Financial Accounting Standards Board (FASB) Accounting Standards Codification (ASC), 2018. Generally Accepted Accounting Principles (GAAP) for Business. FASB, ASC, Washington, D.C.
[19] National Science Foundation (NSF), 2018. Definitions of R&D: An Annotated Compilation of Official Sources. NSF, Alexandria, Virginia, USA. https://www.nsf.gov/statistics/randdef/#chp3. (retrieved 10.01.2019). [20] Watanabe, C., Naveed, N. & Neittaanmäki, P., 2018a. 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 Society 54, 168-188. [21] Jenkins, J., 2011. How Amazon. Com Migrated to AWS. 2011 AWS Tour Australia, Closing Keynote. https://www.slideshare.net/AmazonWebServices/2011-aws-tour-australia-closing-keynote-how amazoncom-migrated-to-aws-by-jon-jenkins (retrieved 10.01.2019). [22] Yahoo! Finance, 2018. Amazon.com, Inc. (AMZN), https://finance.yahoo.com/quote/AMZN/history (retrieved 10.01.2019). [23] Yahoo! Finance, 2018. Apple Inc. (AAPL), https://finance.yahoo.com/quote/AAPL/history (retrieved 10.01.2019).
Historical Historical
Data. Data.
[24] Colin, N., 2016. 11 Notes on Amazon. The Family Papers #010. 18 Jan. 2016. https://salon.thefamily.co/11-notes-on-amazon-part-1-cf49d610f195 (retrieved 06.01.2019). [25] O’Reilly, T., 2003. The Open Source Paradigm Shift. O’Reilly & Associates, Inc., Sebastopol. https://www.oreilly.com/tim/archives/ParadigmShift.pdf (retrieved 10.01.2019). [26] Watanabe, C., Takayama, M., Nagamatsu, A., Tagami, T. and Griffy-Brown, C., 2002. Technology Spillover as a Complement for High Level R&D Intensity in the Pharmaceutical Industry. Technovation 22(4), 245-258. [27] Rivet, D.J., 2017. Amazon’s Superior Innovation: A Study of Amazon’s Corporate Structure, CEO, and Reasons behind Why It has become the Most Innovative Company in Today’s Market. University of New Hampshire Honors Theses and Capstone 343, University of New Hampshire, Durham. https://scholars.unh.edu/honors/343 (retrieved 10.01.2019
IT SERVICE MANAGEMENT SYSTEM FOR CENTRAL BANK OF SUDAN Elshimaa Badr Eldin Hago1 Maria Emmalyn Asuncion De Vigal Capuno2 And Salah Hassan Malik Ali3 Faculty of Information Technology, Future University Sudan, Khartoum, Sudan
ABSTRACT IT Service Management System is an application to implement and manage Information Technology Infrastructure Library (ITIL) best practices framework. This framework aims to align the IT services with the business needs by insuring the quality of services provided to business. This IT service Management system links people, processes and technology within the Central Bank of Sudan as the main site of the project. The Central Bank of Sudan is the main bank that governs Sudan's banks rules and regulations. The bank was formed in 1960 with headquarters located in the Khartoum capital of Sudan in addition to eighteen (18) branches spread throughout the country. The Information Technology Administration within the Central Bank of Sudan manage and operate the IT infrastructure that host and support all systems that used internally and for external banks. The objective of this study focused on finding IT service management system that can support international IT service management platform that can apply ITIL standard processes like Incident Management, Service Request Management, Problem Management, Change Request Management, Configuration Management Database and Knowledge Management. The methodology used in this system is the Rapid Application Development (RAD), a condensed development process that produces a high quality system with low investment costs. The proposed system went through to alpha, beta and acceptability tests by IT development team first and second line of support agents to ensure proper module functionality with favorable results. The study concluded in align services provided by the Information system department with business need through manageable and controllable standard. As a recommendation, the system should be implemented at the Central Bank of Sudan. More integrations and benchmarking must be done to ensure modules functionalities and higher security. The system can be the first step to take ISO20000 certificate as it covers many of IS020000 requirements. KEYWORDS IT Service Management System, Information Technology Infrastructure Library, Rapid Application Development Methodology, Change Management FULL TEXT: http://aircconline.com/ijmit/V11N2/11219ijmit01.pdf ABSTRACT URL: http://aircconline.com/abstract/ijmit/v11n2/11219ijmit01.html
REFERENCES [1]. Ada Hui-Chuan Chen. (2010). Issues In Implementing Information Technology Service Management, Department of Management Information Systems, National Chengchi University, Taipei, Taiwan, R.O.C [2]. Ahmed TahaMirgani Ahmed.(2017). Enterprise Resources Planning System with Virtual Desktop Infrastructure for Alsaid Mills, Sudan. Master thesis for Master of Science in Information Systems. Future University Sudan. [3]. Ali AbdellatifAlhajKhogali. (2018). “Knowledge Based Employee Management System for AlMajdi Plastic Products Factory”, Sudan. Master thesis for Master of Science in Information Systems. Future University Sudan. [4]. BananYahiaMursiIdris. (2017). E-Service System for Faculty of Post Graduate Studies for Future University, Sudan. Master thesis for Master of Science in Information Systems. Future University Sudan. [5]. Barclay Rae, President, itSMF UK (IT Service Management Forum International). (2017). Impact of IT Service management systems, IT Service Management Survey 2017 results [6]. British Standard ISO/IEC 20000-1. (2011). Information Technology - Service management supersedes BS ISO/IEC 20000-1:2005, BS ISO/IEC 20000 Foundation Handouts [7]. Fatemeh Arabalidousti, RaminNasiri and MahsaRazaviDavoudi.(2014). “Developing a New Architecture to Improve ITSM on Cloud Computing Environment”, Islamic Azad University, Iran. International Journal on Cloud Computing: Services and Architecture, Volume: 4 - volume Number: 1 [8]. Pankesh Patel, AjithRanabahu, AmitSheth.(2009). “Service Level Agreement in Cloud Computing”. (2009) No. 24(2), pp. 6-14. [9]. Wassermann, B.; Ludwig, H.; Laredo, J.; Bhattacharya, K.; Pasquale, L. (2009). “Distributed cross domain change management”. Paper presented at the IEEE International Conference on Web [10]. Yassin Mohamed Alamin. (2017). “E-Governance for the Community Development Funds Projects for Ministry of Finance and National Economy” Sudan, Sudan. Master Thesis for Master of Science in Information Systems. Future University Sudan.
AUTHORS Yuji Tou graduated from Tokyo Institute of Technology, Japan, and is currently specially appointed associate professor at Tokyo Institute of Technology, Japan Chihiro Watanabe graduated from the University of Tokyo, Japan, and is currently Professor Emeritus at the Tokyo Institute of Technology, a research professor at the University of Jyväskylä, Finland, and a research scholar at the International Institute for Applied Systems Analysis (IIASA).
Kuniko Moriya graduated from Aoyama Gakuin University, Japan, and is currently is currently Director of the Bank of Japan. Victor V. Vurpillat graduated from Calfornia State Polytechnic University, USA, and is currently Chairman of the Board and Director of Research, Global Connexus Inc., USA 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.
THE DEVELOPMENT OF RESEARCH RECOMMENDATION SYSTEM FOR SOUTHERN THAILAND DEVELOPMENT Nawapon Kewsuwun1, Kanyarat Kwiecien1 and Chumchit Sae-Chan2, 1
Khon Kaen University, Thailand and 2Prince of Songkla University, Thailand
ABSTRACT The research was to identify needs on design and development of a research recommendation system for 14 southern province Thailand development. The system employs semantic search function, research system structure and scope of knowledge during January 2008 to December 2017. 3,873 entries had been gathered from Thai Library Integrated System (ThaiLIS), Thai National Research Repository (TNRR), and Southern universities research database by employing textual analysis and knowledge organization focusing on Classification Approach and categorization which main topics are sorted and categorized. To develop ontology, it applies knowledge engineering concept and using Protégé Ontology Editor version 3.5 beta and version 5.5 beta to process the data for the accurate system development according to user-centered design concept. The study findings were the developed system is able to support information exchange, information retrieval, and research search and to decrease research redundancy and unnecessary budgeting. Moreover, the system could possible enhance conducting more innovations, confirming experts in the area, showing research trends, and showing research results on related fields, strategies, and problems which leads to the Southern developments extensively. After the implementation, the users’ overall opinions and satisfaction was at a high level ( = 4.14, S.D = 0.14) and information retrieval efficiency of system was at a good level (overall = 0.70-0.88) with 0.70 accuracy, 0.78 recall, 0.88 precision, and 0.82 F-measure. KEYWORDS Research recommendation system, southern Thailand development, research for development, information and knowledge management, Ontology. FULL TEXT: http://aircconline.com/ijmit/V11N4/11419ijmit02.pdf ABSTRACT URL: http://aircconline.com/abstract/ijmit/v11n4/11419ijmit02.html
REFERENCES [1] Office of Southern Border Administration Management. (2018). Policy and Strategic of Southern Borde report, Songkla, Thailand. [2] Bureau of Land Survey and Land Use Planning. (2019). Land use Planning and Land use Change Report 2018, Bangkok, Thailand. [3] Office of the National Economics and Social Development Board. (2019). The National Economics and Social Development Plan strategic report, Bangkok, Thailand. [4] Kewsuwun, N., Kwiecien, K., Sae-Chan, C. (2019). “The Synthesis of Problem Needs and Strategies of 14 Southern Provinces Group Administrative Offices with Correspondence of Academic Branches from National Research Council�, Parichart Journal, Vol. 32, No. 1, pp. 389-423. [5] Office of Southern Andaman Administration Management. (2019). Policy and Strategic of Southern Andaman report, Phuket, Thailand. [6] Podhisita, C. (2019). The science and art of quality research (8th ed.), Bangkok, Institute for Population and Social Research Mahidol University [7] Chan-o-cha, P. (2018). Southern Development Plan forward, Songkla, Thailand. [8] Prasitrathasin, S. (2012). Research Method in Social Sciences (15th ed.), Bangkok, Chulalongkorn University Press. [9] Mueanrit, N. (2013). The Information Architecture for Research Information Storage and Retrieval, Khon Kaen. Ph.D. Dissertation for Doctor of Philosophy in Information Studies. Khon Kaen University. [10] Chan, L.M. (1985). Cataloging and classification: Intro, New York, McGraw-Hill Book. [11] Panawong, J. (2015). Development of Knowledge Base System for Northeastern Thailand, Khon Kaen. Ph.D. Dissertation for Doctor of Philosophy in Information Studies. Khon Kaen University. [12] Archint, N. (2014). Semantic Web Technologies, Khon Kaen, Klangnanawitaya Press. [13] Boonprasaert, U. (2012). Action Research, Bangkok, Office of the Education Council Press. [14] Tripathy, B.K., Acharjya, D.P. (2014). Global Trends in Intelligent Computing Research and Development, Hershey, PA of IGI Global. [15] SKOS. (2018). Knowledge Management Tools an introducing organizational knowledge, http://www.knowledge-management-tools.net/introducing-organizational-knowledge.php (Retrieved 12.07.2018). [16] Hodge, G. (2000). Systems of knowledge organization of digital libraries: beyond traditional authority files, Washington, Digital Library Federation.
[17] Hjorland, B. (2015). Nine Principles of Knowledge Organization, Copenhagen, DK-2300, The royal school of Library and Information Science. [18] Taylor, A.G., Joudrey, D.N. (2009). The Organization of Information, Wesport, CT, Libraries Unlimited. [19] Rowley, J. (1992). Organizing knowledge: intro information retrieval (2nd ed.), London, Hampshire, Ashgate Publishing. [20] Fricke, M. (2012). Logic and the Organization of Information, New York, Springer. [21] Kewsuwun, N., Kwiecien, K., Sae-Chan, C. (2018). “Knowledge Structure of research for the Southern of Thailand development”, Proceedings of The LISSASPAC: International Conference on Library and Information Science: From Open Library to Open Society 2018, Vol. 1, No. 1, pp. 332345. [22] Norman, D. (1996). Administrative Office Management: AOM (11th ed.), Cincinnati Ohio, SouthWestern Education Publishing. [23] Srisaad, B. (2002). Introduction to basic research (7th ed.), Bangkok, Suweeriyasarn Publishing. [24] Trumikaborworn, S. (2017). Formulation of integrated research problems in accordance with the research policy, http://www.ubu.ac.th/web/files_up/08f2017060214303240.pdf (Retrieved 16.09.2019). [25] Areejitranusorn, C. (2006). “Research network for research development”, Journal of Medical Technology and Physical Therapy, Vol. 18, No. 2, pp. 43-45. [26] Wipawin, N. (2016). Digital data management process and research data management standards in digital data warehouses: research information warehouse, Bangkok, Sirindhorn Anthropology Center (Public organization). [27] National Science and Technology Development Agency. (2017). The 6th Strategic Plan (20172021), https://waa.inter.nstda.or.th/stks/pub/2017/20170630-strategy-plan-2560-2564-minimizeeng.pdf (Retrieved 01.10.2019). [28 ]Office of the National Economic and Social Development Board Office of the Prime Minister. (2017). The Twelfth National Economic and Social Development Plan (2017-2021), http://www.nesdb.go.th/nesdb_en/ewt_w3c/ewt_dl_link.php?nid=4345 (Retrieved 01.10.2019). [29] Anonymous. (2013). SPARQL Protocol and RDF https://en.wikipedia.org/wiki/SPARQL#cite_note-2, (Retrieved 01.10.2019).
Query
Language,
[30] Davenport, T., Prusak, L. (1998). Working Knowledge, USA, Harvard Business School Press. [31] Houda, S., Naila, A., Samir, B. (2019). “Knowledge Management and Reuse in Virtual Learning Communities, International”, Journal of Emerging Technologies in Learning, Vol.14, No. 16, pp. 2338.
[32] Denny, V. (2010). Ontology Evaluation, Germany, Karlsruhe Institute of Technology. [33] Pacharawongsakda, E. (2014). Data analysis using basic data preparation techniques, Bangkok, Asia Digital Publishing. [34] Eric, G., G, Cyril. (2005). “Relation between PLSA and NMF and implications”, SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, Vol. 1, No. 1, pp. 601-602. [35] Elshimaa Badr E. H, Maria Emmalyn A. De V. C., Salah Hassan M.A. (2019). “IT Service Management System for Central Bank of Sudan”, International Journal of Managing Information Technology (IJMIT), Vol.11, No.2, pp. 1-8. [36] Obaidat, H., Otair, M. A. (2018). “The Impact of Knowledge Management on the Function of Employee Performance Appraisals in Industrial Companies-Case Study”, International Journal of Managing Information Technology (IJMIT), Vol.10, No.4, pp. 35-52. [37] Helmer, O. (1983). Looking forward: A guide to future research. Beverky Hills, CA: Sage. [38] Ralph, M. Stair, George, W. Reynolds. (2001). Fundamentals of Information Systems. Boston press, Boston.
AUTHORS Nawapon Kewsuwun is a Ph.D. Candidate in Information Studies at Khon Kaen University (KKU) (Got the grant as the project “The Development of lecturer and Personnel for Higher Education Institutions in the Specialized Development Zone of the Southern Border Provinces” from Ministry of Higher Education, Science, Research and Innovation, Thailand.). He got the bachelor degree: bachelor of business admiration in Computer Information System, the master degree: master of Industrial Education in Educational Technology Kanyarat Kwiecien is an assistant professor at department of Information Sciences, Khon Kaen University (KKU), Thailand. She got the bachelor degree: Bachelor of art in Library Sciences and Information Sciences, the master degree: master of art in Library and Information Sciences and got the Ph.D. in Information and Communication Technology for Education from Chulalongkorn University, Thailand. She has experience in many positions such as the director at Digital Humanities Research Group, an assistant director of KKU – Smart Learning, and an editorial board of Journal of Information Sciences Khon Kaen University. Chumchit Sae-Chan is an assistant professor at department of Library and Information Sciences, Prince of Songkla University (PSU), Thailand. She got the bachelor degree: Bachelor of Education in Education, the master degree: master of art in Library Sciences and got the Ph.D. in Library Sciences from Simmons College, U.S.A. She has experience in many positions such as the deputy dean for Research and Graduate Studies at Prince of Songkla University (PSU), an editorial board in Journal about knowledge and Information management, library and information sciences and related filed, and an expert of National Research Council of Thailand (NRCT).