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INTERNATIONAL JOURNAL OF MANAGING INFORMATION TECHNOLOGY (IJMIT) ISSN : 0975-5586 (ONLINE);0975-5926 (PRINT)
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Defining Ict In A Boundaryless World:The Development Of A Working Hierarchy Colrain M. Zuppo Marion Technical College (MTC) ABSTRACT Subsequent to rapid information and communication technology development, the scope of the definition of Information and Communication Technologies (ICT or ICTs) has been utilized within diverse contexts including economic development, education, IT, business and personal usage. A review of academic literature, trade publications and general information was undertaken to establish a hierarchy of applications for the term ICT or ICTs. KEYWORDS ICT, ICTs, education, economics, digital communication, hierarchy ICT, ICTs, education, economics, digital communication, hierarchy
For More Details : http://airccse.org/journal/ijmit/papers/4312ijmit02.pdf Volume Link : http://airccse.org/journal/ijmit/vol4.html
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Critical Success Factors For Implementing An Erp System Within University Context: Concepts And Literature Review Ashwaq AlQashami and Heba Mohammad Al-Imam Muhammad Ibn Saud University, College of Computer and Information Sciences, Information Systems Department, Riyadh, Saudi Arabia ABSTRACT Nowadays, Information Technology (IT) plays an important role in efficiency and effectiveness of the organizational performance. As an IT application, Enterprise Resource Planning (ERP) systems is considered one of the most important IT applications because it enables the organizations to connect and interact with its administrative units in order to manage data and organize internal procedures. Manyinstitutions use ERP systems, most notably Higher Education Institutions (HEIs). However, many projects fail or exceed scheduling and budget constraints; the rate of failure in HEIs sector is higher than in other sectors. With HEIs’ recent movement to implement ERP systems and the lack of research studies examining successful implementation in HEIs, this paper provides a critical literature review with a special focus on Saudi Arabia. Further, it defines Critical Success Factors (CSFs) contributing to the success of ERP implementation in HEIs. This paper is part of a larger research effort aiming to provide guidelines and useful findings that help HEIs to manage the challenges for ERP systems and define CSFs that will help practitioners to implement them in the Saudi context. KEYWORDS Enterprise Resource Planning (ERP) system, ERP implementation, Critical Success Factors (csfs), Higher Education Institutions (heis), Higher Education For More Details : http://aircconline.com/ijmit/V7N4/7415ijmit01.pdf Volume Link : http://airccse.org/journal/ijmit/vol7.html
REFERENCES [1] Ifinedo, Princely (2011) "Examining the Influences of External Expertise and In-House Computer/IT Knowledge on ERP System Success",Journal of Systems and Software Vol. 84 No. 12, pp. 2065-2078. [2] Klaus, Helmut., Rosemann, Michael & Gable, Guy (2000) "What is ERP?", Information systems frontiers Vol. 2, No.2, pp. 141-162. [3] Mabert, VincentA., Sony, Ashok & Venkataramanan, Munirpallam (2003) "The Impact of Organization Size on Enterprise Resource Planning (ERP) Implementations in the US Manufacturing Sector", Omega 31(3), pp. 235-246. [4] Wang, Eric T.G., Shih, S.P.& Jiang, J.J. & Klein, G. (2008) "The Consistency among Facilitating Factors and ERP Implementation Success: A Holistic View of Fit". Journal of Systems and Software Vol. 81, No. 9, pp. 1609-1621. [5] Xu, LauraXiao Xia., Yu, Wang Feng, Lim, Roland & Hock, Lua Eng (2010) "A Methodology for Successful Implementation of ERP in Smaller Companies", In: 2010 IEEE International Conference on Service Operations and Logistics and Informatics (SOLI).Qingdao, China, pp. 380-385. [6] Siriginidi, Subba Rao (2000) "Enterprise Resource Planning in Reengineering Business",Business Process Management Journal,Vol. 6, No. 5, pp. 376-391. [7] Al-Shamlan, Hala M. & Al-Mudimigh, Abdullah S. (2011)"The Change Management Strategies and Processes for Successful ERP Implementation: A Case Study of MADAR", International Journal of Computer Science,Vol. 8, No. 2, pp. 399-407. [8] Liang, Huigang., Saraf, Nilesh., Hu, Qing. & Xue,Yajiong (2007) "Assimilation of Enterprise Systems: The Effect of Institutional Pressures and Mediating Role of Top Management", MISQuarterly, Vol. 31, NO. 1, pp. 59-87. [9] Martin, M.H. (1998). "An ERP strategy". Time Inc., New York 137, PP. 95-97. [10] Samuel, R. Dhinakaran & Kumar, Santhosh (2013) "Prediction of ERP Success Before the Implementation", In:International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012), Proceedings. Springer Berlin Heidelberg, pp. 219-227. [11] Abugabah, Ahed & Sanzogni, Louis (2010) "Enterprise Resource Planning (ERP) System in Higher Education:A Literature Review and Implications", International Journal of Human and Social Sciences, Vol. 5, NO. 6, pp. 395-399. [12] Seo, Goeun (2013) "Challenges in Implementing Enterprise Resource Planning (ERP) System in Large Organizations: Similarities and Differences Between Corporate and University Environment", Master’s thesis, Massachusetts Institute of Technology [13] Al-Mashari, Majed., Al-Mudimigh, Abdullah. & Zairi, Mohamed (2003) "Enterprise Resource Planning: A Taxonomy of Critical Factors",European journal of operational research,Vol.146, No. 2, pp. 352-364. [14 ]Ngai, Eric. WT., Law, Chuck CH& Wat & Francis KT (2008) "Examining the Critical Success
Factors in the Adoption of Enterprise Resource Planning",Computers in Industry,Vol.59, No. 6, pp. 548-564. [15] Zhang ,Zhe., Lee,Matthew K.O., Huang, Pei., Zhang, Lliang. &Huang, Xiaoyuan (2005) "A Framework of ERP Systems Implementation Success in China:An Empirical Study", International Journal of Production Economics, Vol. 98, No. 1, pp. 56-80. [16] Bhatti, T. R. (2005) "Critical Success Factors for the Implementation of Enterprise Resource Planning (ERP): Empirical Validation", In:2nd International Conference on Innovation in Information Technology IIT press, Dubai, UAE, pp. 1-10. [17] Holland Christopher P. & Light, Ben (1999) "A Critical Success Factors Model for ERP Implementation", IEEE software, Vol. 16, No. 3, pp. 30-36. [18] Jafari, S.M., Osman, M.R., Yusuff, R.M. &Tang, S.H. (2006) "ERP Systems Implementation in Malaysia:Importance of Critical Success Factors", International Journal of Engineering and Technolog, Vol. 3, No.1, pp. 125-131. [19] Kamhawi, Emad .M. (2007) "Critical Factors for Implementation Success of ERP Systems: An Empirical Investigation from Bahrain",International Journal of Enterprise Information Systems,Vol. 3, No. 2, pp. 34-49. [20] Liu, Pang-Lo (2011) "Empirical Study on Influence of Critical Success Factors on ERP Knowledge Management on Management Performance in High-Tech Industries in Taiwan",Expert Systems with Applications, Vol.38, No. 8, pp.10696-10704. [21] Loh, Tee Chiat& Koh, S.C.L. (2004) "Critical Elements for a Successful Enterprise Resource Planning Implementation in Small- and Medium-Sized Enterprises",International journal of production research, Vol. 42, No. 17, pp. 3433-3455. [22] Motwani, Jaideep., Subramanian, Ram. & Gopalakrishna, Pradeep (2005) "Critical Factors for Successful ERP Implementation: Exploratory Findings from Four Case Studies", Computers in Industry , Vol. 56, No. 6, pp. 529-544. [23] Soja, Piotr (2006) "SuccessFactors in ERP Systems Implementations: Lessons from Practice", Journal of enterprise information management, Vol. 19, No. 6, pp.646--661. [24] Umble,Elisabeth J., Haft, Ronald. R. & Umble Michael M. (2003) "EnterpriseResource Planning: Implementation Procedures and Critical Success Factors", European journal of operational research , Vol. 146, No. 2, pp.241-257. [25] Gates, Kathryn F. (2004) "Evaluating the North American Pilot for SAP’s Campus Management System", In von Hellens, L., Nielsen, S., Beekhuyzen, J. (eds.), Qualitative Case Studies on Implementation of Enterprise Wide Systems. Idea Group, Hershey, pp. 192-210. [26] Moon, Young B. (2007) "Enterprise Resource Planning (ERP): AReview of the Literature", International Journal of Management and Enterprise Development, Vol. 4, No. 3, pp. 235-264. [27] Nielsen, Jens L. (2005) "Critical Success Factors for Implementing ERP System", In von Hellens, L.,
Nielsen, S., Beekhuyzen, J. (eds.), Qualitative case studies on implementation of enterprise wide systems. Idea Group, Hershey, pp. 211-231. [28] Rabaa’i, Ahmad A. (2009) "Identifying Critical Success Factors of ERP Systems at the Higher Education Sector",In: ISIICT2009: Third International Symposium on Innovation in Information & Communicaton Technology, Philadelphia Uni., Amman, Jordan . [29] Ahmad, Raja Lope, Othman, Zulkifli & Mukhtar, Mohsin (2011) "ERP Implementation Framework for Malaysian Private Institution of Higher Learning", In:2011 International Conference on Electrical Engineering and Informatics (ICEEI), Bandung, Indonesia, pp. 1-5. [30] Aldayel, AbeerI., Aldayel, Mashael S. & Al-Mudimigh, Abdullah S. (2011) "The Critical Success Factors of ERP Implementation in Higher Education in Saudi Arabia: A Case Study", journal of Information Technology & Economic Development , Vol. 2, No, 2, pp. 1-16. [31] Ministry of Higher Education, (2015) http://he.moe.gov.sa/ar/about/egovinitiaves/Pages/cInitiatives.aspx
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Success Factors in ERP Systems Implementation in Australia and China: A Cultural Analysis",In: Proceedings of ECIS 2000, Vienna, Austria, pp. 537–544. [56] Somers, Toni M. & Nelson, Klara G. (2004) "A Taxonomy of Players and Activities Across the ERP Project Life Cycle", Information & Management, Vol. 41, No. 3, pp. 257-278. [57] Finney, Sherry & Corbett, Martin (2007) "ERP Implementation: A Compilation and Analysis of Critical Success Factors", Business Process Management Journal, Vol. 3, No. 3, pp.329-347. [58] Capaldo G., & Rippa, P. (2009) "A planned oriented approach for EPR implementation strategy selection". Journal of Enterprise Information Management, 22(6), pp. 642–659. [59] Hasibuan, Z. A., & Dantes, G. R. (2012) "Priority of Key Success Factors (KSFS) on Enterprise Resource Planning (ERP) System Implementation Life Cycle". Journal of Enterprise Resource Planning Studies, 2012, pp.1–15. [60] Kronbichler, S. A., Ostermann, H., Rol, R., & Staudinger, S. (2009) "A review of critical success factors for ERP-projects". Open Information Systems Journal, 3, pp. 14–25. [61] Motwani, J., Subramanian, R., & Gopalakrishna, P. (2005) "Critical factors for successful ERP implementation: exploratory findings from four case studies". Computers in Industry, 56(6), pp. 529– 544. [62] Thomas, Glenn A. & Jajodia, Shyam (2004) "Commercial-Off-the-Shelf Enterprise Resource Planning Software Implementations in the Public Sector: Practical Approaches for Improving Project Success", The Journal of Government Financial Management , Vol. 53, No. 2, pp.12--19. [63] Zornada, Leo & Velkavrh, TamaraBertok (2005) "Implementing ERP Systems in Higher Education Institutions",In: 27th International Conference on Information Technology Interfaces ICTI, Cavtat, Croatia. [64] Lockwood, G. (1985) "Universities as Organizations", In Lockwood, G. and Davies, J. (eds), Universities; The Management Challenge, Windsor, UK., pp. 139-163. [65] Heiskanen, Ari., Newman, Michael& Similä, Jouni (2000) "The Social Dynamics of Software Development", Accounting, Management and Information Technologies, Vol. 10, No. 1, pp. 1-32. [66] Bologa, Razvan., Bologa, Ana-Ramona & Sabau, Gheorghe (2009) "Success Factors for Higher Education ERPs",International Conference on Computer Technology and Development, pp. 28-32. [67] King, Paula., Kvavik, Robert B. & Voloudakis, J. (2002) "Enterprise Resource Planning Systems in Higher Education",EDUCAUSE Center for Applied Research: Research Bulletin 22, pp. 1-11. [68] Sabau, G., Munten, M., Bologa, A. R., Bologa, R. & Surcel, T. (2009) "An Evaluation Framework for Higher Education ERP Systems", WSEAS Transactions on Computers, Vol. 8, No. 11, pp. 17901799. [69] Beekhuyzen, J., Goodwin, M., Nielsen, J.L. & Uervirojnangkoorn, M. (2001) "ERP Implementation at Australian Universities", Technical Report, Brisbane, Australia, Griffith University. [70] von Hellens, Liisa, Nielsen, Sue & Beekhuyzen, Jenine (2005) "Qualitative Case Studies on Implementation of Enterprise Wide Systems", IGI Global, Hershey.
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Wireless Sensor Network Clustering Using Particles Swarm Optimization For Reducing Energy Consumption Amin Rostami1 and Mohammad Hossin Mottar2 1
Department of Computer Engineering, Ferdows Branch, Islamic Azad University, Ferdows , Iran. 2Department of Computer Engineering, Mashhad Branch, Islamic Azad
ABSTRACT Wireless sensor networks (WSN) is composed of a large number of small nodes with limited functionality. The most important issue in this type of networks is energy constraints. In this area several researches havebeen done from which clustering is one of the most effective solutions. The goal of clustering is to divide network into sections each of which has a cluster head (CH). The task of cluster heads collection, data aggregation and transmission to the base station is undertaken. In this paper, we introduce a new approach for clustering sensor networks based on Particle Swarm Optimization (PSO) algorithm using the optimal fitness function, which aims to extend network lifetime. The parameters used in this algorithm are residual energy density, the distance from the base station, intra-cluster distance from the cluster head. Simulationresults show that the proposed method is more effective compared to protocols such as (LEACH, CHEF,PSO-MV) in terms of network lifetime and energy consumption. KEYWORDS Wireless Sensor Networks, Clustering, Energy Efficient Protocols, Particles Swarm Optimization Algorithm, Centralized Algorithms.
For More Details : http://airccse.org/journal/ijmit/papers/6414ijmit01.pdf Volume Link : http://airccse.org/journal/ijmit/vol6.html
REFERENCES [1] Akiyldiz, W. Su, Y. Sankarasubramaniam, E. Cayirci, A survey on sensor networks, IEEE Communication Magazine, vol 40, 2002,pp 102–114. [2] G. Pottie and W. Kaiser, Wireless integrated sensor networks (WINS), Communications of the ACM, vol. 43, no. 5 , 2000,pp. 55-58. [3] G.Hill, R. Szeweyk , A. Woo, D. Culler, S. Hollar, and K.Pister,System architecture directionsfor networked sensors, in proceedings of the International Conference on Architectural Support for programming Languages and Operating Systems (ASPLoS IX). Cambridge, MA, 2000,pp. 93-104. [4] W. Merrill, K. Sohrabi, L. Girod , j. Elson , F. Newberg ,and W. Kaiser, Open standard development plarroems for distributed sensor networks, in Proceedings of SPIE Unattended Ground Sensor Technologies and Applications IV, Orlando, FL.2002,pp,327-337. [5] J. M. Kim, S.H. Park, Y.J. Han, T.M. Chung, CHEF: cluster head election mechanism using fuzzy logic in Wireless Sensor Networks, in: International Conference of Advanced Communication Technology, 2008, pp. 654–659. [6] N.Eghbali, Performance Improvement of Information Dissemination Protocols in Sensor Networks Through Data Aggregation, Computer Engineering and Information TechnologyDepartment, 2007. PP 1-121. [7] W. Heinzelman, A. Chandrakasan, H. Balakrishnan, Energy Efficient Communication Protocol forWireless MicrosensorNetwroks (LEACH), Proceedings of 33rd hawaii international conferencesystems science - vol.8,2004, pp 3005-3014. [8] M. Handy , M. Haase , and D.Timmermann, Low energy adaptive clustering hierarchy with deterministic cluster – head selection , in proceeding of IEEE, International Conference on Mobile and wirless Communications networks, Stockholm, Sweden,2002, pp. 368-372. [9] V. Handziski, A. Kopke, H. Karl, C. Frank, W. Drytkiewicz, Improving the Energy Efficiency of Directed Diffusion Using Passive Clustering,” European Workshop on Wireless SensorNetworks 2004 , pp. 172–187. [10] O.Younis and S.Fahmy,HEED:Ahybrid,energyefficient,distributed clusteringapproach for adhoc sensor networks,IEEE Transactions on Mobile Computing,vol.3,no.4,2004,pp.366-379. [11] V. Loscrì, G. Morabito, S. Marano, A Two-Levels Hierarchy for Low-Energy AdaptiveClustering Hierarchy,in proceeding of IEEE 2005,pp. 1809-1813. [12] S. Hussain, A.W. Matin, and O. Islam. Genetic algorithm for energy efficient clusters in wireless sensor networks. In Fourth International Conference on Information Technology,2007,pp147–154. [13] D.kumar, T.C.Aseri and R.B.Patel EEHC: Energy efficient hetergenous clustered scheme for wireless sensor networks, ComputerCommunications,vol 32,2009,pp.662-667. [14] K. LingaRaj, D. Aradhana and NagaveniB.Biradar. Multiple mobile agents in wireless sensor networks using genetic algorithms. International Journal of Scientific and Engineering Research, vol3,2012, pp1–5.
[15] H.Yua, W. Xiaohuia PSO-based Energy-balanced Double Cluster-heads Clustering Routing for wireless sensor networks ,Procedia Engineering, vol 15 ,2011, pp.3073 – 3077. [16] S.-H. Hong, B.-K. Kim and J.-M. Gil An Algorithm for an Energy-Efficient Smart Sensor with EECS Routing Protocol in Wireless Sensor Networks, Springer Science Business Media Dordrecht 2012, pp. 685–692. [17] Li-Yeh Chuang a, Chih-Jen Hsiao b, Cheng-Hong Yang, Chaotic particle swarm optimization for data clustering,Elsevier, 2011. PP 109-115. [18] S.M. Guru, S.K. Halgamuge, and S. Fernando. Particle swarm optimisers for cluster formation in wireless sensor networks. In Proceedings of the International Conference on Intelligent Sensors, Sensor Networks and Information Processing,2005,pp 319–324. [19]J. Hou, X. Fan, W. Wang, J.Jie, and Y. Wang. Clustering strategy of wireless sensor networks based on improved discrete particle swarm optimization.In The Sixth International Conference on NaturalComputation (ICNC), vol 7,2010,pp3866–3870. [20] B.Solaiman , A. Sheta , Computational Intelligence for Wireless Sensor Networks: Applications and Clustering Algorithms,International Journal of Computer Applications ,Vol 73 ,2013, pp0975 - 8887. [21] S . He , Y , Dai , R , Zhun , S , Zhao , A Clustering Routing Protocol for Energy Balanc of WSN based on Genetic Clustering Algorithm , International Conference on Future Computer Supported Eduction ,2012, pp 788-793 [22] J.Weston and C. Watkins, Multi-class support vector machines, Technical Report CSDTR Department of Computer Science, Royal Holloway, University of London,Egham, 1998, pp98-104.
Challenges Of E-Learing In Nigerian University Education Based On The Experience Of Developed Countries N.D. Oye1, Mazleena Salleh2, N. A. Iahad3 1,2,3
Faculty of Computer Science and Information systems Universiti Teknologi Malaysia
ABSTRACT This paper present a review of the challenges of e-learning in Nigerian University education based on the experience of four developed countries, UK, Australia, Korea and France. The survey shows that these countries have: (i) vision and action plans for e-learning, (ii) they have good government policies and financial support, (iii) they earmark action programs and set committees with sufficient funds to pursue it goals, (iv) they believe in research as a fundamental part of e-learning strategy, and lastly (v) they embark on awareness, training and motivational programs. The paper pointed out that, for the challenges of Nigerian university education to be reduced to minimum, the Federal Government should improve on educational funding as UNESCO recommended 26% of the annual budget. In addition the government should fulfill her promise on the issue of improving Electricity supply in the country. Furthermore, the university administrators should embark on awareness and training of staff on the use of ICTs, withmotivations attached. The Internet is a major driver of ICT in education and bandwidth is a major issue inthe deployment of e-learning. Therefore government should make Internet connectivity a priority for higher education to be able to leverage on the promises and opportunities ICTs present. KEYWORDS E-learning; ICT; Developed Countries,;Nigerian University; Challenges; Education; Internet.
For More Details : http://airccse.org/journal/ijmit/papers/3211ijmit04.pdf Volume Link : http://airccse.org/journal/ijmit/vol3.html
REFERENCES [1] Aduke, A F ( 2008). Usage and Challenges of Information and Technology (ICT) in Teaching and Learning in Nigerian Universities. Asian Journal of Information Technology, 7(7), 290-295. [2] Ajadi TO, Salawu, IO and Adeoye, FA (2008). E-learning and Distance Education in Nigeria. The Turkish Online Journal of Educational Technology, 7(4), Article 7. [3] Arikpo I I, Osofisan, A and Usoro, A ( 2009). Bridging the digital divide: the Nigerian journey so far. International Journal of Global Business, 2 (1), 181-204. [4] Asogwa, U D ( 2006). E-learning: A panacea for access, equity and quality higher education in Nigeria. Paper presented at the 30th annual conference of Nigerian Association for Educational Administration and Planning (NAEAP) held at the Faculty of Education Hall, Enugu State University of Science and Technology. [5] Cook J, Holley D, Smith C, Bradley C and Haynes, R (2006). A Blended M-Learning Design for Supporting Teamwork in Formal and Informal Settings. Mobile Learning 2006, 14-16 July, Dublin. [6] Erah, PO (2006). Introduction to e-learning protocols. Paper presented at ETF capacity building workshop for lecturers of Universities in Nigeria at the University of Uyo. [7] Folorunso O, Ogunseye OS and Sharma SK( 2006). An exploratory study of the critical factors affecting the acceptability of e-learning in Nigerian universities. Information Management and Computer Security Journals, 14 (5), 496-505. [8] HEFCE (2005). HEFCE strategy http://www.hefce.ac.uk/pubs/hefce/2005/05_12/
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[16] Schmidt, A (2005). Knowledge maturing and the continuity of context as a unifying concept for knowledge management and e-learning. In: Proceedings of I-Know ‘05, Special Track on Integrating Working and Learning, Graz, Austria, pp. 424-431. [17] Schulmeister, R (2006). ELearning: Einsichten und Aussichten. München; Wien: Oldenbourg Verlag. [18] UNESCO (2009). UNESCO portal on Higher Education Institutions: Nigeria Retrieved April 30, 2009, from http://portal.unesco.org/education/en/ev.phpURL_ID=51421&URL_DO=DO_TOPIC&URL_SECTION= 201.html [ 19] Yang, G (2010) “The effect of e-learning for the teachers in Information Society” Proc. Second International Workshop on Education Technology and Computer Science, pp621-624. [20] Zook, M (2004). Internet Users Worldwide - statistic 2004. Online. URL: http://www. zooknic.com/Users/global_2004_09.html (last accessed: 2007-01- 08).
The Role Of Technology Acceptance Model In Explaining Effect On ECommerce Application System Md Gapar Md Johar1 and Janatul Akmar Ahmad Awalluddin2 1
Information Technology and Innovation Center, Management and Science University, Selangor, Malaysia 2Graduate School of Management, Management and Science University, Kuala Lumpur, Malaysia ABSTRACT Today e-commerce has become crucial element to transform some of the world countries into an information society. Business to consumer (B2C) in the developing countries is not yet a normalcy as compared to the developed countries. Consumer behaviour research has shown disappointing results regarding the overall use of the Web for online shopping, despite its considerable promise as a channel for commerce. As the use of the Internet continues to grow in all aspects of daily life, there is an increasing need to better understand what trends of internet usage and to study the barriers and problem of ecommerce adoption. Hence, the purpose of this research is to define how far Technology Acceptance Model (TAM) contributed in e-commerce adoption. Data for this study was collected by the means of a surveyconducted in Malaysia in 2010. A total of 611 questionnaire forms were delivered to respondents. The location of respondents was within Penang state. By studying this sample, conclusions would be drawn to generalize the interests of the population. KEYWORDS E-commerce, Technology Acceptances Model (TAM), e-commerce application, online shopping, online banking, online payment & buying online.
For More Details : http://airccse.org/journal/ijmit/papers/3311ijmit01.pdf Volume Link : http://airccse.org/journal/ijmit/vol3.html
REFERENCES [1] Ahmed, M., Hussein, R., Minakhatun, R. and Islam R., (2007) “Building consumers’ confidence in adopting e-commerce: A Malaysian case”, International Journal Business & Systems Research, Vol. 1, No. 2, pp236-255. [2] Alhudaithy, A.I. and Kitchen, P.J., (2009) “Rethinking models of technology adoption for Internet banking: The role of website features”, Journal of Financial Services Marketing, Vol. 14, No. 1, pp56–69. [3] Amin, H., (2009) “An analysis of online banking usage intentions: An extension of technology acceptance model”, International Journal Business and Society, Vol. 10, No. 1, pp27-40. [4] Habibu, S. and Ho, S. “RM1bil initiative to promote high-speed broadband usage” [Online] Available at http://thestar.com.my/news/story.asp?file=/2010/3/25/nation/5931577&sec=nation. Accessed on November 5th 2010. [5] Internet World Stats. “Internet usage in ASEAN” [Online] http://www.internetworldstats.com/stats3.htm. Accessed on November 5th 2010
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[6] Kaur. K., (2005) “Consumer protection in e-commerce in Malaysia: An overview”, Journal of the UNE Asia Centre, No., pp1-14. [7] Lee, H.H., Fiore, A.M. and Kim, J., (2006) “The role of the technology acceptance model in explaining effects of image interactivity technology on consumer responses” International Journal of Retail & Distribution Management, Vol. 34, No. 8, pp 621-644. [8] Legris, P., Ingham, J. and Collerette, P., (2003) “Why do people use information technology? A critical review of the technology acceptance model” Journal of Information & Management, No. 40, pp191–204. [9] “Malaysia : E-commerce Success Story” [Online] http://www.zerogrey.com/index.php/eshop/info/on/Zerogrey-Malaysia:-EcommerceSuccessStory.html/cId/359/. Accessed on November 5th 2010
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[10] “Malaysia's E-Commerce Statistics” from http://malaysiacrunch.blogspot.com/2009/09/malaysiasecommerce-statistics.html. Accessed on November 5th 2010 [11] Mirandah, G. “Internet law – The future of e-commerce in Malaysia” [Online] Available at http://www.ibls.com/internet_law_news_portal_view.aspx?s=latestnews&id=1917. Accessed on November 5th 2010 [12] Monsuwe, T.P., Dellaert, B.G.C. and Ruyter, K.D., (2004) “What drives consumers to shop online? A literature review”, International Journal of Service Industry Management, Vol. 15, No. 1, pp102-121. [13] Nicoles, C.L., Castillo, F.J.M. and Bouwman, H. , (2008) “An assessment of advanced mobile services acceptance: Contributions from TAM and diffusion theory models”, Information & Management, No. 45, pp359–364. [14] Rogers, E., (1995) “Diffusion of Innovation”, fourth ed., New York: Free Press. [15] Sekaran, U. and Bougie, R., (2010) “Theoretical framework In theoretical framework and hypothesis
development”. Research Methods for Business: A Skill Building Approach, United Kingdom: Wiley, pp. 80 [16] So, W.C.M., Wong, T.N.D and Sculli, D., (2005) “Factors affecting intentions to purchase via the internet”, Journal of Industrial Management & Data Systems, Vol. 105, No. 9, pp1225-1244. [17] “Telecommunications and IT” from http://www.aseansec.org/7808.htm. Accessed on November 5th 2010
AUTHORS Prof. Dr. Md Gapar Md Johar, PhD, MSc, BSc (Hons) is a certified e-commerce consultant; he has over 30 years working experience in software and application development and has developed many applications such as Housing Loan Accounting System, Commercial Vehicle Licensing System, Human Resource Management System, Learning Content Management System, Campus Management System, Student Relationship Management System and Hospital Information System. His research interests include object-oriented analysis and design, software engineering, Java programming, digital image analysis, Radio Frequency Identification (RFID) and knowledge management. Currently he is involved in research and development of Jawi Word Processor and Converter in open system environment, RFID application, image processing and character recognition, computer forensic and security, e-learning and digital content design. Janatul Akmar Ahmad Awalluddin is a postgraduate student at Management & Science University and currently she is a part-time lecturer for UITM, Penang, Malaysia.
Consequences Of The Digital Economy: Transformation Of The Growth Concept Chihiro Watanabe1,2, Kuniko Moriya3,4, Yuji Tou5, Pekka Neittaanmäki6 1
Faculty of Information Technology,University of Jyväskylä, Finland International Institute for Applied Systems Analysis (IIASA), Austria 3 Research and Statistics Department, Bank of Japan, Tokyo, Japan 4 Faculty of Information Technology,University of Jyväskylä, Finland 5 Dept. of Ind. Engineering & Magm., Tokyo Institute of Technology, Tokyo, Japan 6 Faculty of Information Technology, University of Jyväskylä, Finland 2
ABSTRACT The digital economy is transforming the traditional concepts of economic growth.The recent reversal trend in GDP growth of ICT leaders can be attributed to effective utilization of soft innovation resources in Finland and adherence to traditional resources in Singapore.Confronting a productivity decline in the digital economy, global information and communication technology (ICT) leaders are transforming business models into those with uncaptured GDP creation. This can be attributed tothe harnessing soft innovation resourcesagainst a productivity decline. This in turn activates a self-propagating function and induces supra-functionality beyond economic value corresponding to a shift in people’s preferences. It also contributes to removingstructural impediments in GDP growth.Empirical analyses utilizing the development trajectories of 500 global ICT firms and also world ICT leadersFinland and Singapore demonstratedthese hypothetical views andprovided an insightful suggestion as to overcome aproductivity decline in the digital economy. KEYWORDS Digital economy, soft innovation resources, structural impediments in growth, global ICT firms, Finland and Singapore Digital economy, soft innovation resources, structural impediments in growth, global ICT firms, Finland and Singapore.
For More Details : http://aircconline.com/ijmit/V10N2/10218ijmit02.pdf Volume Link : http://airccse.org/journal/ijmit/current.html
REFERENCES [1] Department of Broadband, Communications and the Digital Economy (DBCDE), (2009)Digital Economy Future Directions, DBCDE, Camberra. [2] OECD, (2016)OECD Observer: The Digital Economy, OECD, Paris. [3] US Council on Competitiveness., (2016)No Recovery: An Analysis on Long-term U.S. Productivity Decline, Washington, D.C. [4] The World Bank, (2016) Digital Dividends, The World Bank, Washington D.C. [5] Watanabe, C., Moriya, K., Tou, Y. & Neittaanmäki, P., (2018) ”Structural Sources of a Productivity Decline in the Digital Economy,” International Journal of Managing Information Technology, Vol. 10, No. 1, pp 1-20. [6] Watanabe, C., Naveed, K. & Zhao, W., (2015) “New Paradigm of ICT Productivity: Increasing Role of Un-captured GDP and Growing Anger of Consumers,” Technology in Society, Vol.41, pp 21–44. [7] 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, Vol. 42, pp 104–122. [8] 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, pp 58–77. [9] 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 (in print). [10] 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. [11] Feldstein, M., (2017) Understanding the Real Growth of GDP, Personal Income, and Productivity. Journal of Economic Perspectives, Vol. 31, No. 2, pp 145-164. [12] Syverson, C., (2017)“Challenges to Mismeasurement Explanations for the US Productivity Slowdown,” Journal of Economic Perspectives, Vol. 31, No. 2, pp 165-186. [13] Groshen, E.L., Moyer, B.C., Aizcorbe, A.M., Bradley, R., Friedman, D.M., (2017)“How Government Statistics Adjust for Potential Biases from Quality Change and New Goods in an Age of Digital Technologies: A View from the Trenches,” Journal of Economic Perspectives, Vol. 31, No. 2, pp 187-210. [14] Byrne, D., Corrado, C., (2016)ICT Prices and ICT Services: What do They Tell about Productivity and Technology? Economic Program Working Paper Series, EPWP #16-05, The Conference Board, New York. [15] Dervis, K. and Qureshi, Z., (2016)The Productivity Slump - Fact or Fiction: The Measurement
Debate, Global Economy and Development at Brookings, Washington, D.C. [16] Watanabe, C., Naveed, K., Neittaanmäki, P. & Tou, Y., (2016) ”Co-evolution of Three Mega Trends Nature Uncaptured GDP: Uber’s Ride-sharing Revolution,” Technology in Society, Vol.46, pp 164– 185. [17] Watanabe, C., Naveed, K. & Neittaanmäki, P., (2016) ”Co-evolution between Trust in Teachers and Higher Education toward Digitally-rich Learning Environments,” Technology in Society, Vol.48, pp 70–96. [18] 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. [19] International Monetary Fund (IMF), (2017)Measuring the Digital Economy: IMF Statistical Forum, IMF, Washington D.C. [20] Ylhainen, I., (2017) Challenges of Measuring https://www.sitra.fi/en/articles/challenges-measuring-digital-economy/
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[21] 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, Vol. 71, No. 7, pp 723-750. [22] 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, Vol. 29, No. 2, pp 265-283. [23] 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. [24] Japan Cabinet Office (JCO), (2012) National Survey of Lifestyle Preferences, JCO, Tokyo.
AUTHORS 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 fromAoyama Gakuin University, Japan, and is currently Director of the Bank of Japan, and a research scholarat the University of Jyväskylä, Finland (kuniko.moriya@boj.or.jp). kuniko.moriya@boj.or.jp Yuji Tou graduated from Tokyo Institute of Technology, Japan, and is currentlyspecially appointed associate professor at Tokyo Institute of Technology, Japan (tou.yuji@gmail.com). 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. (pekka.neittaanmaki@jyu.fi).
Simulating Hype Cycle Curves With Mathematical Functions : Some Examples Of High-Tech Trends In Japan Hiroshi Sasaki1 1
College of Business, Rikkyo University, Tokyo, Japan
ABSTRACT In this study, a method to simulate Gartner’s hype cycle [1] is proposed. A search of the academic literature on this topic provides no clear guidance on how to draw hype cycle curves with mathematical functions. This article explores a new process for simulating the curve as a combination of bell-shaped curves and S-shaped curves, and applies this process to some hightech innovations in Japan. Trends in technologies such as customer relationship management (CRM), supply chain management (SCM), and cloud computing are analyzed by using a corpus of 4,772 newspaper articles. For these examples, Gompertz functions show better fit than logistic functions. For the combined curve, polynomial functions of degree 9 provide the best fit, with adjusted R-square values of more than 0.97. KEYWORDS Hype cycle, High-tech innovation, S-shaped curves, Diffusion of innovations
For More Details : http://airccse.org/journal/ijmit/papers/7215ijmit01.pdf Volume Link : http://airccse.org/journal/ijmit/vol7.html
REFERENCES [1] Gartner,Inc.,(n.d.)“Gartner Hype Cycle”, Retrieved http://www.gartner.com/technology/research/methodologies/hype-cycle.jsp (21 March, 2015).
from
[2] Fenn, Jackie. & Raskino, Mark, (2008) Mastering the Hype Cycle –How to Choose the Right Innovation at the Right Time, Harvard Business Press. [3] Gartner, Inc., (2014) “Gartner's 2014 Hype Cycle for Emerging Technologies Maps the Journey to Digital Business”,Retrieved from http://www.gartner.com/newsroom/id/2819918 (21March, 2015). [4] Kim,Song-kyoo, (2013) “General framework for management of technology evolution”, The Journal of High Technology Management Research, Vol. 24, No. 2, pp130-137. [5] Gray, Glen. Chiu, Victoria. Liu, Qi. & Li, Pei, (2014) “The expert systems life cycle in AIS research: What does it mean for future AIS research?”, International Journal of Accounting Information Systems, Vol. 15, pp423–451. [6] Lente, Harro. Spitters, Charlotte. & Peine, Alexander,(2013)“Comparing technological hype cycles: Towards a theory”, Technological Forecasting and Social Change, Vol. 80, No. 8, pp 1615-1628. [7] Budde, Björn. Alkemade, Floortje. &Hekkert, Marko,(2013) “On the relation between communication and innovation activities: A comparison of hybrid electric and fuel cell vehicles”, Environmental Innovation and Societal Transitions, Vol.14, March 2015, pp.45-59. [8] Vahid, Garousi, (2012) “Classification and trend analysis of UML books (1997-2009)”, Software & Systems Modeling. Vol. 11, No. 2, pp273-285. [9] Jun, Seung-Pyo,(2012)“A comparative study of hype cycles among actors within the socio-technical system: With a focus on the case study of hybrid cars”, Technological Forecasting and Social Change, Vol. 79, No. 8, pp1413-1430. [10] Konrad, Kornelia. Markard, Jochen. Ruef, Annette. & Truffer, Bernhard, (2012) “Strategic responses to fuel cell hype and disappointment”, Technological Forecasting and Social Change, Vol. 79, No. 6, pp1084-1098. [11] Kim, Jinhyung. Hwang, Myunggwon. Jeong, Do-Heon. & Jung, Hanmin,(2012) “Technology trends analysis and forecasting application based on decision tree and statistical feature analysis”, Expert Systems with Applications, Vol. 39, No.16, pp12618-12625. [12] Ruef, Annette.& Markard, Jochen,(2010) “What happens after a hype? How changing expectations affected innovation activities in the case of stationary fuel cells”, Technology Analysis & Strategic Management, Vol. 22, No. 3, pp317-338. [13] Konrad, Kornelia, (2006)“The social dynamics of expectations: The interaction of collective and actor-specific expectations on electronic commerce and interactive television”, Technology Analysis & Strategic Management, Vol. 18, No. 3/4, pp429-444. [14] Sasaki, Hiroshi, (2014) “Time lags related to past and current IT innovations in Japan: An analysis of ERP, SCM, CRM, and big data trends”, International Journal of Business Analytics, Vol. 1, No. 1, pp29-42.
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, 6 Faculty of Information Technology, University of Jyvaskyla, Finland 3 International Institute for Applied Systems Analysis (IIASA), Austria 4 Research and Statistics Department, Bank of Japan, Tokyo, Japan 6 Faculty 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 For More Details : http://aircconline.com/ijmit/V10N4/10418ijmit04.pdf Volume Link : http://airccse.org/journal/ijmit/current.html
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AUTHORS Yuji Tou graduated from Tokyo Institute of Technology, Japan, and is currentlyspecially 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 is currently Director of the Bank of Japan. (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. (pekka.neittaanmaki@jyu.fi).
Knowledge Sharing in Workplace: Motivators and Demotivators 1
Oye, N.D. 2Mazleena Salleh 3Noorminshah, A.
Faculty of Computer Science and Information System Universiti Technologi Malaysia 81310 Skudai, Johor ABSTRACT This paper gives an overview of knowledge sharing in workplace. Based on the review of critical literatures by the authors, they infer that knowledge sharing in workplace can be influenced by motivators and demotivators. Activities of knowledge sharing in organizations may be on organization level or individual level. Knowledge sharing of both levels is critical to the success or failure of knowledge management inside and outside of organizations. Age, culture, and industry were all found to affect knowledge sharing among workers. A common stereotype is that older workers hoard knowledge because they are more insecure and feel threatened by younger workers. Since older workers have more valuable knowledge, younger workers needed to entice their older colleagues to share their valuable knowledge with them. The paper focus on motivators and demotivators to sharing Knowledge in workplace. Theories and research pertaining to why workers share knowledge are reviewed. While all industry need knowledge and innovation, it is also true that the pace of change and the need to innovate differs from industry to industry. Technology was acknowledged to have a high important role in increasing productivity of knowledge sharing. It plays a critical role in creating, storing and distributing explicit knowledge in an accessible and expeditious manner. KEYWORDS Knowledge, Sharing knowledge, Intrinsic and Extrinsic Motivators and Demotivators
For More Details : http://airccse.org/journal/ijmit/papers/3411ijmit06.pdf Volume Link : http://airccse.org/journal/ijmit/vol3.html
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AUTHORS N.D.Oye, receive his M.Tech OR (Operations Research) degree from the Federal University of Technology Yola- Nigeria in 2002. He is a lec-turer in the department of Mathematics and Computer Science in the same Univeristy. At the moment he is a Phd student in the department of Information Systems in the Faculty of computer Science and Infor-mation systems at the Univeristi Teknologi Malaysia, Skudai, Johore, Malaysia. oyenath@yahoo.co.uk M. Salleh received her Phd in Computer Science at Universiti Teknologi Malaysia in the field of computer networking. Presently she is the Head of Department of Computer Systems and Communication,Faculty of Computer Science and Information Systems, Univerisiti Teknologi Malaysia. Her research areas include computer security, cryptography and networking. mazleena@fsksm.utm.my N. A. Iahad has a Phd at the school of informatics, The University of Manchester. Her research areas are: online Learning and asynchronous computer- mediated- communication. Currently she is a senior lecturer in the department of Information systems, in the faculty of Computer Science and Information system, Universiti Teknologi Malaysia. Noorminshah A Ahad <noorminshah@gmail>.