ORIGINAL_ARTICLE
Investigating the Effect of Gamification Mechanics on Customer Loyalty in Online Stores
This study examines how gamification mechanics could be used in online retailers' loyalty programs. In other words, this article attempts to create a conceptual model for the relationship between gamification mechanics and customer loyalty elements. We used a field study to conduct our research. In order to validate the survey, 450 customers from one of the greatest online stores in Iran were questioned. The results of this survey were used to validate our 11 phrases on the relationship between gamification mechanics and customer loyalty. The results were analyzed using confirmatory factor analysis, path analysis, and model fitness tests in structural equations modeled in the Lisrel software. According to the research findings, the relationship between variables and the proposed conceptual model was confirmed. Based on the performed analysis, all 11 phrases were verified.
https://jitm.ut.ac.ir/article_74759_8e1bbf40b06cc9af0f07d5c7d76e73bd.pdf
2019-12-01
1
23
10.22059/jitm.2019.287056.2390
gamification
Customer Loyalty
Perceived value
Online store
Mohammad
Fathian
fathian@iust.ac.ir
1
Professor, School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran.
LEAD_AUTHOR
Hossein
Sharifi
h.sharifi@liverpool.ac.uk
2
Reader in Operations and Supply Chain Management, School of Management, University of Liverpool, Liverpool, UK.
AUTHOR
Faranaksadat
Solat
faranak_solat@ind.iust.ac.ir
3
M.Sc. Student, School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran.
AUTHOR
Alsawaier, R. S. (2018). The effect of gamification on motivation and engagement. The International Journal of Information and Learning Technology, 35(1), 56-79.
1
Erabi, M., Varzeshkar, M. (2005). Monitoring and Increasing Customers Loyalty: Identifying most Effective Factors. Management Studies Publications (Improvement and Changing), 46(12), 1-30.
2
Aggarwal, D. (2016). Book Review: Dan Ariely, The Irrational Bundle: Predictably Irrational, The Upside of Irrationality, and The Honest Truth about Dishonesty, Kindle edition.
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Aziz, A., Mushtaq, A., & Anwar, M. (2017, March). Usage of gamification in enterprise: A review. In 2017 International Conference on Communication, Computing and Digital Systems (C-CODE), (pp. 249-252). IEEE.
4
Bahcall, N. (1980). Optical properties of Morgan's poor clusters. The Astrophysical Journal, 238, 117-122.
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Bland, J.M., & Altman, D.G. (1997). Cronbach's alpha. British Medical Journal, 314(7080), 572.
6
Bruni, E. (2018). 7 Great uses of gamification in web design. Retrieved September 15, 2019, from https://www.webdesignerdepot.com/2018/01/7-great-uses-of-gamification-in-web-design/.
7
Burnett, S. ( 2019). Is it time to add gamification to your loyalty strategy?. Retrieved September 15, 2019, from https://www.forbes.com/sites/forbesagencycouncil/2019/01/22/is-it-time-to-add-gamification-to-your-loyalty-strategy/#2181c38952b3.
8
Chou, Y.-K. (2015). Actionable gamification. Beyond points, badges, and leader board. Create Space, Independent Publishing platform.
9
Cunningham, C., & Zichermann, G. (2011). Gamification by design: implementing game mechanics in web and mobile apps. Sebastopoll: O’Reilly Media.
10
Economou, D., Doumanis, I., Pedersen, F., Kathrani, P., Mentzelopoulos, M., & Bouki, V. (2015, July). Evaluation of a dynamic role-playing platform for simulations based on Octalysis gamification framework. In Intelligent Environments (Workshops), p. 388-395.
11
Frimani, M. (2014). Look at to make concept of Gamification by design in new virtual area and it is applications. First ed. Tehran: Information Technology and Digital Media Development Center: Information Technology And Digital Media Development Center.
12
Garbarino, E., & Johnson, M. S. (1999). The different roles of satisfaction, trust, and commitment in customer relationships. Journal of Marketing, 63(2), 70-87.
13
Giese, J.L., & Cote, J.A. (2000). Defining consumer satisfaction. Academy of Marketing Science Review, 1(1), 1-22.
14
Hansch, A., Newman, C., & Schildhauer, T. (2015). Fostering engagement with gamification: Review of current practices on online learning platforms.
15
Hansen, H. (2017). Start with why. Retrieved September 15, 2019, from https://simonsinek.com/.
16
Hatami, K. (2017). Advanced Gamification; a brief review on Octalysis Framework. Mr. Gamification. Retrieved September 15, 2019, from http://www.mrgamification.com/%D8%A7%DA%A9%D8%AA%D8%A7%D9%84%DB%8C%D8%B3%DB%8C%D8%B3/
17
Hunicke, R., Leblanc, M., & Zubek, R. (2004). A Formal approach to game design and game research. In Proceedings of Game Developers Conference.
18
Huotari, K., & Hamari, J. (2012). Defining gamification: A service marketing perspective. in Proceeding of the 16th International Academic MindTrek Conference. ACM.
19
Jöreskog, K.G., & Sörbom, D. (1993). LISREL 8: Structural equation modeling with the SIMPLIS command language. Scientific Software International.
20
Kim, K., & Ahn, S.J.G. (2017). The role of gamification in enhancing intrinsic motivation to use a loyalty program. Journal of Interactive Marketing, 40, 41-51.
21
Kini, A., & Choobineh, J. (1998, January). Trust in electronic commerce: definition and theoretical considerations. In Proceedings of the thirty-first Hawaii International conference on System Sciences (Vol. 4, pp. 51-61). IEEE.
22
Kleman, M. (2013). Gaming the Search Engine Rules: Using Gamification for SEO. Retrieved September 15, 2019, from https://technologyadvice.com/blog/marketing/gaming-search-engine-rules-using-gamification-seo/.
23
Looyestyn, J., Kernot, J., Boshoff, K., Ryan, J., Edney, S., & Maher, C. (2017). Does gamification increase engagement with online programs? A systematic review. PloS One, 12(3). e0173403.
24
Marczewski, A. (2018). Game mechanics in gamification. Retrieved September 15, 2019, from https://www.gamified.uk/2013/01/14/game-mechanics-in-gamification/.
25
Martí‐Parreño, J., E. Méndez‐Ibáñez, & Alonso‐Arroyo, A. (2016). The use of gamification in education: A bibliometric and text mining analysis. Journal of Computer Assisted Learning, 32(6). p. 663-676.
26
Mirzaei, J., & Hosseini, E. (2017). The effect of feeling marketing on Satisfaction, Trust and customer loyalty to sports brands. Sports Management Publication, 39, 549-564.
27
Reid, E. F. (2013, June). Crowdsourcing and gamification techniques in Inspire (AQAP online magazine). In 2013 IEEE International Conference on Intelligence and Security Informatics (pp. 215-220). IEEE.
28
Salen, K., K.S. Tekinbaş, & Zimmerman, E. (2014). Rules of play: Game design fundamentals. MIT press.
29
Schell, J. (2014). The art of game design: A book of lenses. AK Peters/CRC Press.
30
Smith, D.F. (2014). A brief history of gamification [#Infographic]. A social media journalist for the CDW family of technology magazine websites]. Retrieved September 15, 2019, from https://edtechmagazine.com/higher/article/2014/07/brief-history-gamification-infographic
31
Softengi, (2019). Gamification in the retail: Turning shopping into a game. Retrieved September 15, 2019, from http://softengi.com/en/blog/gamification-in-the-retail-turning-shopping-into-a-game/.
32
Srinivasan, S. S., Anderson, R., & Ponnavolu, K. (2002). Customer loyalty in e-commerce: an exploration of its antecedents and consequences. Journal of Retailing, 78(1), 41-50.
33
Stieglitz, S., Lattemann, C., Robra-Bissantz, S., Zarnekow, R., & Brockmann, T. (2017). Gamification. Berlin: Springer.
34
Suits, B. (1967). What is a Game?. Philosophy of Science, 34(2). p. 148-156.
35
Sweeney, J.C., & Soutar, G.N. (2001). Consumer perceived value: The development of a multiple item scale. Journal of Retailing, 77(2), 203-220.
36
Vroom, V. H. (1964). Work and motivation. New York: Wiley.
37
Wolfinbarger, M., & Gilly, M. C. (2001). Shopping online for freedom, control, and fun. California Management Review, 43(2), 34-55.
38
Xu, Y. (2011). Literature review on web application gamification and analytics. Honolulu, HI. p. 11-05.
39
ORIGINAL_ARTICLE
Measure and Analyze the Determinants of the Creditworthiness in Iraq Economy (2004-2017)
Finance and indebtedness remain major problems for most countries, especially developing countries it therefore requests to stand in front of them to reduce them and prevent their exacerbation, Global rating agencies are a reflection of the urgent need for investors and borrowers to identify factors affecting creditworthiness to bridge the existing information gap. Iraq was approved for the period 2004-2017 using a model (Toda Yamamota Causility) The desire to provide information on the level of risk before lending to the government or financial and banking institutions to assess the solvency and the desire to meet debts to meet current and future financial obligations in a timely manner, and the degree of rating is not an absolute fact, but expect to the current financial situation may err and may infect, However, creditworthiness indicators remain the most important criteria for assessing the likelihood of the borrower not repaying the loan amount. The researcher concluded that the most important variable affecting the sovereign creditworthiness of Iraq is debt service, especially in the short term On the other hand, the availability of liquidity gives great flexibility to Iraq in the payment of its obligations.
https://jitm.ut.ac.ir/article_74760_0965f4d66ccafb1ca4c0f16c41e5fb1d.pdf
2019-12-01
24
36
10.22059/jitm.2019.74760
Creditworthiness
Iraq economy
growth rate
liquidity
Debt structure
Abdulkhleq
Dubai Abdulmahdi
bus.abdul.khaleq@uobabylon.edu.iq
1
Professor, Finance and Banking sciences Department, Management and Economics Faculty, University of Babylon, Iraq.
LEAD_AUTHOR
Mohamed Ghali
Rahi
muhammedh.riha@uokufa.edu.iq
2
Assistant Professor, Finance and Banking Sciences Department, Faculty of administration and Economics, University of Kufa, Iraq.
AUTHOR
Thamer Abdul_Aaly
Kadhum
thamerabd63@agre.uoqasim.edu.iq
3
Department Soil and Water Resources, Assistant Professor, College of Agriculture, Al_ Qasim Green University, Iraq.
AUTHOR
Abdulsahib, G. M., & Khalaf, O. I. (2018). Comparison and evaluation of cloud processing models in cloud-based networks. International Journal of Simulation-Systems, Science & Technology, 19(5).
1
Abual-Fahm, M. K. (2005). Determinants of the creditworthiness of the Palestinian Authority. The first conference for Palestinian investment and finance between the prospects for development and contemporary challenges. Faculty of Commerce of the Islamic University for the period 8-9 / 5.
2
Ahmed Telfah, Arab Planning Institute, April 2005.
3
Al-Issawi, A. K. J., & Ghanem, M. M. (2016). The deficit of the public budget, Iraq as a model. Iraqi Journal of Economic Sciences, 51.
4
Al-Jubouri, M. S., & Hussein, K. A. (2017). Economic shock analysis of developing economies, Amman Dar Al-Ayyam for publishing and distribution.
5
Al-Mada Newspaper (2016). Iraq credit rating and borrowing risks. Issue No. 3742 on September 23.
6
Al-Rubaie, R. (2012). The role of fiscal and monetary policy in dealing with recessionary inflation, Jordan.
7
Al-Tamimi, A. (2019). Credit rating standards in financial and banking institutions. Investors Magazine. www.mosgcc.com/ma
8
Central Bank of Iraq, Annual Economic Report, 2014-2016.
9
Central Bank of Iraq, Annual Economic Report, for the years 2004-2018.
10
Central Bank of Iraq, General Directorate of Statistics and Research, Annual Economic Report, 2014.
11
Central Bank of Iraq, General Directorate of Statistics and Research, 2012.
12
Central Bank of Iraq, General Directorate of Statistics and Research ,2014.
13
Ghaidan, J. K., & Hama, I. (2017). The impact of monetary policy on the stability of the foreign exchange rate in Iraq for the period 1990-2012. Kut Journal of Economic and Administrative Sciences, 17.
14
Hussein Ali, W., & Mahmoud, S. M. (2011). The exchange rate and its impact on inflation in Iraq for the period 2005-2006. Tikrit Journal of Administrative and Economic Sciences, Volume 7 special issue of the second conference of the College of Management and Economics from 11-15 / 5/2011.
15
Khalaf, O. I., & Sabbar, B. M. (2019). An overview on wireless sensor networks and finding optimal location of nodes. Periodicals of Engineering and Natural Sciences, 7(3), 1096-1101.
16
Saleh, M. M. (2012). Capacity of operating expenditures and flexibility of monetary policy financial cost. January.
17
Saleh, M. M. (2012). The Central Bank of Iraq monetary policy and the paradox of prosperity in a rentier economy, Baghdad.
18
Thivagar, M. L., & Hamad, A. A. (2019). Topological geometry analysis For Complex dynamic systems based on adaptive control method. Periodicals of Engineering and Natural Sciences, 7(3), 1345-1353
19
Vazirani, (2010). Competencies and competency model-a brief overview of its development and application. SIES Journal of Management, 7(1)
20
Weiss, Marfin A, Iraq: Paris Ciub Debt Relief, GRS Report for Congress January, 2015.
21
ORIGINAL_ARTICLE
Spatial Analysis of Dry Valley Floods in Salah Al-Din Governorate and Ramadan Valley
Flash floods are considered to be one the worst kind of hazard. They are characterized by their suddenness, rarity, small scale, heavy rain and peak discharge, unpredictable, fast and violent movement. It has severe effects on human society in the form life losses, damages to property, roads, communication and on natural settings. Advances in hydrology, meteorology, engineering, using of GIS and remote sensing still not able to increase real time forecast. Researchers from developed countries have stressed to more focus to improve very short time an effective early warning system with collaboration of local communities for flash flood risk supervision. The data were combined with the Geographical Information System to analyze the temporal and spatial distribution of flood events in Salah Al-Din Governorate and Ramadan Valley. The analysis of the spatial distribution of the floods proves that most of the occurrences are recorded in the southern part of the study area. Most of the flooded areas in the study area are mainly pre-classified areas within the areas threatened by the flood due to the low level of its surface and its proximity to the course of the main valley (Wadi Jarnav), which flows into the Tigris River. The proposed method estimates the localization of sites prone to flood, and it may be used for flood hazard assessment mapping and for flood risk management. It was therefore, suggested that government agencies and policy makers should adopt this powerful technique for reliable and well synthesized information which is a vital component of flood risk assessment and planning.
https://jitm.ut.ac.ir/article_74761_cfcc3d6ee3ba7dc8fa9d6d3d93befeba.pdf
2019-12-01
37
55
10.22059/jitm.2019.74761
Dry Valley Floods
Salah Al-Din Governorate
Ramadan Valley
Ali Mukhlif
Sabea
alimukhl@tu.edu.iq
1
Department of Geography, College of Education for Humanities, Tikrit University, Tikrit, Iraq.
AUTHOR
Numman
Hussain Atea
geographyhigher@gmail.com
2
Department of Geography, College of Education for Humanities, Tikrit University, Tikrit, Iraq.
AUTHOR
Sedeak Mustafa
Jasim
sadekmostafa@tu.edu.iq
3
Department of Geography, College of Education for Humanities, Tikrit University, Tikrit, Iraq.
AUTHOR
Hussain Abid
Ismaiel
dr.hussainabd@tu.edu.iq
4
Department of Geography, College of Education for Humanities, Tikrit University, Tikrit, Iraq.
AUTHOR
Abdullah, H. H. (2011). Morphometric variables of the lower part of the Zab Basin using GIS, Diyala Journal of Pure Sciences, 7 (2).
1
Abdulsahib, G. M., & Khalaf, O. I. (2018). Comparison and evaluation of cloud processing models in cloud-based networks. International Journal of Simulation--Systems, Science & Technology, 19(5).
2
Abu Al-Enain, H. S. A. A. (1990). Wadi Dibba Basin in the United Arab Emirates, Geography of Nature and its Impact on Agricultural Development, Unspecified Press, Kuwait.
3
Al-Hayali, Shaima Basem Abdul Qader, (2015). Hydrological valleys flowing into the Tigris River / Nineveh Governorate, Master Thesis (unpublished) Mosul University, College of Education for Humanities.
4
Al-Jubouri, A. A. M. K. (2014). Geomorphology of the Right Side of Shirqat District Center, Master Thesis (Unpublished), Tikrit University, Faculty of Education for Humanities.
5
Al-Jubouri, S. A. (2005). Climatic Water Budget for Mosul Stations, Baghdad and Basra, Ph.D. Dissertation, College of Education (Ibn Rushd), University of Baghdad.
6
Al-Khafaji, S. N. (2010). Morphological and Hydrological Characteristics of Wadi Qurain Al-Thamad Basin in Southern Iraq Badia - Najaf, Master Thesis (Unpublished), Muthanna University, College of Education for Humanities.
7
Hameed, M. H. (2013) Water harvesting in Erbil Governorate, Kurdistan region, Iraq, Detection of suitable sites using Geographic information system and Remote sensing,
8
Maidment, D. R. (1993). Handbook of hydrology. University of Texas at Austin, Texas, USA
9
Strahler, A. N. (1964). Quantitative geomorphology of drainage besihs and Channel network in a book aplaid hydrology. edited by chow, V.T-MC. Grow-Hill. New York
10
Tamimi, B. F. M. (2016). Hydrological Modeling of Chamchamal Aquarium Using Geographic Information Systems and Remote Sensing (GIS) and (RS). Ph.D. Thesis, (unpublished), Faculty of Education for Humanities, Tikrit University.
11
Tara, M., Anwar, S., & Reynolds, S.G. (2019). Report Country Pasture/Forage Resource Profiles of Iraq. Retrieved September 15, 2019, from www.fao.org
12
ORIGINAL_ARTICLE
The Impact of Rational Governance on the Financial Performance of Industrial Companies Sample (Pharmaceutical Companies) Listed in Amman Stock Exchange
The study aimed to determine the impact between rational governance and financial performance on a sample of pharmaceutical companies listed in the Amman Stock Exchange. The questionnaire was used to collect data, where (200) inquiries were received (170) valid for statistical analysis were excluded (10) where used in Analysis process (160) of the total questionnaires distributed and to achieve the objectives of the study the study reached the most relevant results, the presence of a statistically significant impact of disclosure and transparency on financial performance The study made the most critical recommendations: The establishment of institutions to design an effective and sound control system in order to fulfil the role for which it was found, And also work on Control continuously updated system.
https://jitm.ut.ac.ir/article_74763_439b7db8f4c68ccac2606d8b0bb8cb1c.pdf
2019-12-01
56
69
10.22059/jitm.2019.74763
Rational Governance
Financial performance
Industrial companies
pharmaceutical companies
Stock exchange
Mustafa Ismeel
Khaleel
mustafaismaeel@tu.edu.iq
1
Tikrit University, Iraq.
AUTHOR
Saad Sabbar
Nasif
saad_nasif@tu.edu.iq
2
Tikrit University, Iraq.
AUTHOR
Dahham Lateef
Dahham
dahham-2010@tu.edu.iq
3
Tikrit University, Iraq.
AUTHOR
Abdulsahib, G. M., & Khalaf, O. I. (2018). Comparison and evaluation of cloud processing models in cloud-based networks. International Journal of Simulation--Systems, Science & Technology, 19(5).
1
Al-Hadithi, S. K. (2010). The role of quality control on manufacturing costs in improving the financial performance of Jordanian Pharmaceutical Companies. Master Thesis, Middle East University for Graduate Studies: Amman, Jordan.
2
Ali Reshi, J., & Singh, S. (2019). Investigating the role of code smells in preventive maintenance. Journal of Information Technology Management, 10(4), 41-63.
3
Al-Kashef, M. Y. (2008). A proposed framework for improving good governance. The Egyptian Journal of Financial and Commercial Studies, 32(2), 15.
4
Al-Khatib, M. M. (2007). The effect of financial performance on the dividends of industrial companies in Amman Stock Exchange. Master Thesis, Al-Bayt University: Mafraq, Jordan.
5
Al-Sabahi, E. M. (2008). The role of audit committees in activating good governance, scientific conference recent trends in accounting thought in light of application problems. Faculty of Commerce, Ain Shams University, Cairo, pp. 6-7.
6
Aritonang, I. D., Hidayanto, N., Nizar, A., Budi, A., Fitriah, N., Samik Ibrahim, R. M., & Solikin, S. (2019). Framework for prioritizing solutions in overcoming data quality problems using analytic hierarchy process (AHP). Journal of Information Technology Management, 10(4), 27-40.
7
Asbaqa, K. S. (2011). A proposed model for comparing the financial performance of al-jukhuriya bank and the Sahara Bank in the Libyan Jamahiriya. PhD Dissertation, Banking and Insurance, Damascus University: Syria
8
Bayoumi, A. A. (2005). Governance and its role in the treatment of diseases of thought and accounting application, a paper presented to the conference on good management and its accounting and administrative dimensions and economic. Faculty of Commerce, Alexandria University.
9
Bayrakdaroglu, A, Ersoy, E., & Citak, L. (2012). Is there a relationship between corporate governance and value-based financial performance measures? A study of Turkey as an emerging market. Asia-Pacific Journal of Financial Studies, 41(2), 224-239.
10
Helfert, M., & Ge, M. (2019). Perspectives of big data quality in smart service ecosystems (quality of design and quality of conformance). Journal of Information Technology Management, 10(4), 72-83.
11
Khalaf, O. I., & Sabbar, B. M. (2019). An overview on wireless sensor networks and finding optimal location of nodes. Periodicals of Engineering and Natural Sciences, 7(3), 1096-1101.
12
Khalaf, O. I., Abdulsahib, G. M., & Sadik, M. 2018. A modified algorithm for improving lifetime WSN. Journal of Engineering and Applied Sciences, 13: 9277-9282
13
Khalilijafarabad, A. (2019). Big data quality: from content to context. Journal of Information Technology Management, 10(4), 64-71.
14
Mustafa, I. F. A. (2011). The role of review in the activation of the principles of good governance to achieve transparency of information. Amman: Arab Library, pp. 364-365.
15
Nawfal, M. (2002). Evaluation of the performance of industrial public shareholding companies in Jordan using rate of return for the period (1991-2000). Master Thesis, Al-Bayt University: Mafraq, Jordan.
16
Omnamasivaya, B., & Prasad, M. S. V. IUP., (2016). The influence of financial performance on environmental accounting disclosure practices in India: empirical evidence from BSE. Journal of Accounting Research & Audit Practices, 15 (3), 16-33.
17
Qabalah, A. A. M. (2008). Effectiveness of corporate governance effectiveness on the financial performance of companies listed in the PSE. PhD in Finance, Unpublished Dissertation, Faculty of Financial and Administrative Studies, and Amman University for Graduate Studies.
18
Thivagar, M. L., & Hamad, A. A. (2019). Topological geometry analysis for complex dynamic systems based on adaptive control method. Periodicals of Engineering and Natural Sciences, 7(3), 1345-1353.
19
ORIGINAL_ARTICLE
Simulate Congestion Prediction in a Wireless Network Using the LSTM Deep Learning Model
Achieved wireless networks since its beginning the prevalent wide due to the increasing wireless devices represented by smart phones and laptop, and the proliferation of networks coincides with the high speed and ease of use of the Internet and enjoy the delivery of various data such as video clips and games. Here's the show the congestion problem arises and represent aim of the research is to avoid congestion at APs to wireless networks by adding a control before congestion occurs. A wireless connection was made using the Android system, and congestion was predicted based on the analysis of wireless communication packages around the access point using the LSTM deep learning model. The results show that if the amount of information in the input data is large, a more accurate prediction can be made.
https://jitm.ut.ac.ir/article_74762_442b6197cd4283c5f42ba88fadcacd64.pdf
2019-12-01
70
79
10.22059/jitm.2019.74762
AP
Android
Congestion
Deep learning
LSTM
Wireless networks
Nada
Badr Jarah
nadabadrjarah@yahoo.com
1
Assistant Professor, Statistics Department, Collage of management and economic, University of Basra, Iraq.
LEAD_AUTHOR
Al-Alawi, A. I. (2006). WiFi technology: Future market challenges and opportunities. Journal of computer Science, 2(1), 13-18.
1
Ali, A. M. A., Yadav, R., & Singh, H. M. (2014). Congestion Control Technique for Wireless Networks. IOSR Journal of Computer Engineering, 16 (2), 31-33.
2
Al-Sarkhi, A., & R Talburt, J. (2019). Estimating the parameters for linking unstandardized references with the matrix comparator. Journal of Information Technology Management, 10(4), 12-26.
3
Barzin, A., Sadeghieh, A., Khademi Zare, H., & Honarvar, M. (2019). Hybrid bio-inspired clustering algorithm for energy efficient wireless sensor networks. Journal of Information Technology Management, 11(1), 76-101.
4
Bianchi, F. M., Maiorino, E., Kampffmeyer, M. C., Rizzi, A., & Jenssen, R. (2017). An overview and comparative analysis of recurrent neural networks for short term load forecasting. arXiv preprint arXiv:1705.04378.
5
Cisco predicts more IP traffic in the next five years than in the history of the Internet (2018). https://newsroom.cisco.com/press-release content?type= webcontent & articleId=1955935
6
Ghoumid, K., Ameziane, K., & El Mrabet, O. (2013). Performance analysis of round trip time in narrowband RF networks for remote wireless communications. International Journal of Computer Science & Information Technology, 5(5), 1.
7
Gheni, A. Y., Jusoh, Y. Y., Jabbar, M. A., Mohd Ali, N., Shanmugam, M., & Yousif, H. A. (2019). Measuring the performance of the virtual teams in global software development projects. Journal of Information Technology Management, 11(1), 42-59.
8
Khalaf, O. I., & Sabbar, B. M. (2019). An overview on wireless sensor networks and finding optimal location of nodes. Periodicals of Engineering and Natural Sciences, 7(3), 1096-1101.
9
Khalaf, O. I., & Sabbar, B. M. (2019). An overview on wireless sensor networks and finding optimal location of nodes. Periodicals of Engineering and Natural Sciences, 7(3), 1096- 1101.
10
Khasawneh, F. (2017). Mobility management and congestion control in wireless mesh networks.
11
Lv. Yisheng, Yanjie Duan, Wenwen Kang, Zhengxi Li, and Fei-Yue Wang, (2015). Traffic Flow Prediction With Big Data: A Deep Learning Approach, IEEE Transactions On Intelligent Transportation Systems, 16 (2).
12
Marwa O Al-Enany's., Attiya Gamal., Meseha, Nagy W. (2014). Improving Host-to-Host Congestion Control Protocols by Dynamic Bandwidth Estimation of the Network, International Journal of Computer Applications, 104(1), 975-1008
13
Miki, K., Yamaguchi, S., & Oguchi, M. (2011). Kernel monitor of trans port layer developed for android working on mobile phone terminals.
14
Sak, H., Senior, A. W., & Beaufays, F. (2014). Long short-term memory recurrent neural network architectures for large scale acoustic modeling.
15
Salman, A. D., Khalaf, O. I., & Abdulsahib, G. M. (2019). An adaptive intelligent alarm system for wireless sensor network. Indonesian Journal of Electrical Engineering and Computer Science, 15(1), 142-147.
16
Thomas, G. (2000). Introduction to the transmission control protocol, contemporary controls.
17
Tokui, S., Oono, K., Hido, S., & Clayton, J. (2015, December). Chainer: a next-generation open source framework for deep learning. In Proceedings of workshop on machine learning systems (LearningSys) in the twenty-ninth annual conference on neural information processing systems (NIPS) (Vol. 5, pp. 1-6).
18
Yuanfang Cheny, Lei Wangz., (2017). Poster abstract: Traffic flow prediction with big data: a deep learning based time series model, 865.
19
ORIGINAL_ARTICLE
Enterprise Risk Management and Performance of Financial Institutions in Iraq: The Mediating Effect of Information Technology Quality
Enterprise risk management represents a process of assessing exposure to risks in an institution. It is a systematic mechanism and a comprehensive tool for predicting events, including unexpected events, and their impacts. This paper is a conceptual study. It aims at designing a model for testing the mediation effect of information technology (IT) quality on the relationship between the enterprise risk management (henceforth, ERM) practice and the financial performance of financial institutions in Iraq. Based on reviewing the literature on ERM, it is found that ERM (leadership roles, risk culture and compliance) has a positive and important effect on the financial performance of financial institution in Iraq. In addition, this paper shows that the IT quality is a good medium for increasing the interaction between practices of ERM and financial performance positively. It provides a practical and theoretical contribution to practices of ERM in listed companies in Iraq. It also has major implications for professional practitioners, regulators and academics in Iraq. Finally, this paper contributes to building relevant knowledge in the field of leadership role, risk culture, compliance and IT quality.
https://jitm.ut.ac.ir/article_74764_58749327710e9cdc929a4e3f9e837494.pdf
2019-12-01
80
91
10.22059/jitm.2019.74764
Enterprise Risk Management (ERM)
IT quality
leadership role
Risk culture
Compliance
Financial performance
Ibrahim
Kurdi
im_li2001@tu.edu.iq
1
Assistant Prof., Tikrit university, Iraq.
AUTHOR
Ahmed
Fareed Naji
ahmed.frn@yahoo.com
2
Tikrit university, Iraq.
AUTHOR
Ahmed
Nawar Naseef
dr_ahmednawar@alimamunc.edu.iq
3
Ph.D., Al-Imam University College, Iraq.
AUTHOR
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32
ORIGINAL_ARTICLE
Effective Learning to Rank for the Persian Web Content
Persian language is one of the most widely used languages in the Web environment. Hence, the Persian Web includes invaluable information that is required to be retrieved effectively. Similar to other languages, ranking algorithms for the Persian Web content, deal with different challenges, such as applicability issues in real-world situations as well as the lack of user modeling. CF-Rank, as a recently proposed learning to rank data, aims to deal with such issues by the classifier fusion idea. CF-Rank generates a few click-through features, which provide a compact representation of a given primitive dataset. By constructing the primitive classifiers on each category of click-through features and aggregating their decisions by the use of information fusion techniques, CF-Rank has become a successful ranking algorithm in English datasets. In this paper, CF-Rank is customized for the Persian Web content. Evaluation results of this algorithm on the dotIR dataset indicate that the customized CF-Rank outperforms baseline rankings. Especially, the improvement is more noticeable at the top of ranked lists, which are observed most of the time by the Web users. According to the NDCG@1 and MAP evaluation criteria, comparing the CF-Rank with the preeminent baseline algorithm on the dotIR dataset indicates an improvement of 30 percent and 16.5 percent, respectively.
https://jitm.ut.ac.ir/article_73950_99d86fa27f1884be43845248be832181.pdf
2019-12-01
92
109
10.22059/jitm.2019.284726.2377
Learning to rank
Persian language
CF-Rank algorithm
dotIR dataset
Information fusion
Amir Hosein
Keyhanipour
keyhanipour@ut.ac.ir
1
Assistant Professor, Computer Engineering Department, Faculty of Engineering, College of Farabi, University of Tehran, Iran.
LEAD_AUTHOR
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