The Experts below are selected from a list of 224826 Experts worldwide ranked by ideXlab platform
Matloub Hussain - One of the best experts on this subject based on the ideXlab platform.
-
a quality function deployment strategy for improving mobile government Service quality in the gulf cooperation council countries
Benchmarking: An International Journal, 2018Co-Authors: Meiaad Rashid Alsaadi, Syed Zamberi Ahmad, Matloub HussainAbstract:The purpose of this paper is to derive mobile-government (m-government) Service-quality factors in the Gulf Cooperation Council (GCC) and develop an integrated strategic plan for improving the quality of m-government Services from a customer perspective in the GCC.,A quantitative approach was used in this case study of m-government Services in the GCC. Data were collected using focus groups and questionnaires for three similar m-government applications (one from the United Arab Emirates, one from the Saudi Arabia and one from Oman). The house of quality tool, including technical benchmarking, was applied as part of the quality function deployment (QFD) approach to identify customer requirements, translate them to technical requirements and develop a strategic plan for improving the quality of m-government Services.,The results revealed that “real time” had the highest priority for deployment, while “tangible Service,” contrary to expectations, had the lowest priority for deployment.,Study findings are limited to the m-government Services delivered to citizens. There is scope for further study into m-government Services delivered both to businesses and other governments.,The findings imply that the m-government decision makers must involve citizens in all Service-development processes to ensure that Service delivery meets citizens’ expectations.,Most previous studies regarding m-government Service-quality dimensions have used Information System Service-quality dimensions. This study is one of the pioneering studies to have successfully derived m-government Service-quality factors using the QFD matrix.
Tang Xiaoli - One of the best experts on this subject based on the ideXlab platform.
-
electrical geographic Information Service platform System
2013Co-Authors: He Chaolin, Zhou Huafeng, Gan Shan, Xiong Weibin, Wu Xiaochen, Mai Shaohui, Wang Bin, Zhou Jifeng, Tang XiaoliAbstract:The invention provides an electrical geographic Information Service platform System. The electrical geographic Information Service platform System comprises a general GIS (Geographic Information System) Service platform, wherein the general GIS Service platform is used for leading a GIS map to a tidal current chart in a way of taking the GIS map as a base map according to an electrical CIM model and an electric equipment geographic model, locating electrical equipment through geographic coordinates, generating a power grid panoramic image, and externally supplying a general GIS Service interface; and when a power grid panoramic data processing request is received by the general GIS Service platform, the part of geographic data contained in the power grid panoramic data processing request can be processed, the part of electrical data in a panoramic data processing command can be transmitted to a corresponding electrical application module for being processed, and a processing result sent back by the electrical application module can be received and can be displayed in the power grid panoramic image. According to the electrical geographic Information Service platform System provided by the invention, the operating condition of a power grid can be comprehensively monitored in time, real-time alarm can be carried out on poor working condition or operating fault, technical support is supplied to quick maintenance, the management efficiency is increased, the maintenance is convenient, and the safety level of operating the power grid is increased.
Meiaad Rashid Alsaadi - One of the best experts on this subject based on the ideXlab platform.
-
a quality function deployment strategy for improving mobile government Service quality in the gulf cooperation council countries
Benchmarking: An International Journal, 2018Co-Authors: Meiaad Rashid Alsaadi, Syed Zamberi Ahmad, Matloub HussainAbstract:The purpose of this paper is to derive mobile-government (m-government) Service-quality factors in the Gulf Cooperation Council (GCC) and develop an integrated strategic plan for improving the quality of m-government Services from a customer perspective in the GCC.,A quantitative approach was used in this case study of m-government Services in the GCC. Data were collected using focus groups and questionnaires for three similar m-government applications (one from the United Arab Emirates, one from the Saudi Arabia and one from Oman). The house of quality tool, including technical benchmarking, was applied as part of the quality function deployment (QFD) approach to identify customer requirements, translate them to technical requirements and develop a strategic plan for improving the quality of m-government Services.,The results revealed that “real time” had the highest priority for deployment, while “tangible Service,” contrary to expectations, had the lowest priority for deployment.,Study findings are limited to the m-government Services delivered to citizens. There is scope for further study into m-government Services delivered both to businesses and other governments.,The findings imply that the m-government decision makers must involve citizens in all Service-development processes to ensure that Service delivery meets citizens’ expectations.,Most previous studies regarding m-government Service-quality dimensions have used Information System Service-quality dimensions. This study is one of the pioneering studies to have successfully derived m-government Service-quality factors using the QFD matrix.
Qamar Ul . Arafeen - One of the best experts on this subject based on the ideXlab platform.
-
SOFT COMPUTING APPROACHES IN FORENSICS: AN INTELLIGENT System APPROACH
2015Co-Authors: Qamar Ul . ArafeenAbstract:It has been increasingly difficult to ignore the prevailing situation of crime, law & order and \ud dominantly terrorism acts in Pakistan and the simultaneous use of mobile phone and other related \ud equipment in the criminal activities. The prevailing situation motivated us to study digital \ud forensics of mobile phones using soft computing techniques. In this thesis, we have developed \ud intelligent System approach to explore the causes and effects of this menace keeping in view \ud mobile Information System, Service providers and cyber laws of Pakistan. \ud The soft computing approaches are useful to study the patterns emerging in forensic crimes \ud prevailing in developing countries especially in Pakistan. We have studied mobile related crimes \ud such as law & order, home land security and street crimes and presented a review on ICT and \ud mobile phone crimes in Pakistan. In this research, we have investigated forensic crimes \ud technologies in mobile phone System concentrating on essential mobile phone technology, crime \ud evidence, crime investigation framework and related laws in developed and developing countries \ud especially in Pakistan. \ud I have explored soft computing methods / techniques using fuzzy logic, probabilistic \ud reasoning, Bayesian network and rough set theory with the approach of intelligent Systems and \ud artificial intelligence. In fuzzy logic, I have dealt with subjective/ expert approach to analyze \ud forensic crimes especially related with mobile phones. I have discussed fuzzy time series \ud approach in detail to study mobile phone crimes over time with examples of rough set theory \ud discussed in detail for developing Information System related with forensic crimes especially \ud related with the use of mobile phones and suggested the use of a rule based System when \ud knowledge on attributes related with mobile phone crimes is imprecise. I found that rough set \ud theory is very much helpful in taking decisions and improving Information/ evidence on mobile \ud phone crimes. I have also used Naïve Bayesian approach for classification of crimes and study \ud the approach on the available dataset on Pakistan. \ud I have studied the location based approach for mobile phone crimes using geo-fencing \ud technique with special emphasis on data available from Service providers and called it tower data \ud analysis. Tower data analysis is done in detail and found it very much helpful in detecting \ud criminals and their networks especially in the context of Pakistan. \ud I have also concentrated on objective approach on customer side of the mobile phone use \ud and studied in detail call details record (CDR) data available/provided by Service providers with \ud special permission and suggested an abstract data model of CDR which may be extended to data \ud warehouse technology. The approach will be helpful for behavior analysis of mobile users and \ud especially criminals while using mobile phones and suggested that such data marts/ data \ud warehouse should be developed by the government authorities along with the Information \ud available from Service providers. \ud I have provided suggestions and directions for future work in the context of soft computing \ud for developing framework of evidence in Pakistan. We also feel that there is a need to improve \ud the government agencies' record which should be maintained independent of Service providers \ud CDR data and Location based data of mobile users with their activities. This will be helpful for \ud investigation, evidence analysis without dependence on the Service providers' data. In the last, I \ud feel that this effort is the very first attempt to study forensic crimes related to mobile and \ud therefore need more attention and more research work on ICT to overcome the misuse of the \ud technologies to reduce crimes and improve law & order, homeland security for the country and a \ud common citizen of Pakistan. There is a good coordination and cooperation among the researchers \ud and the consultants of law enforcement agencies which has culminated into this work and hope \ud that this will open new venues for research and development in this area in the future
B11211164, Sy. Muhammad Syafiq - One of the best experts on this subject based on the ideXlab platform.
-
PENGARUH KUALITAS PELAYANAN JASA TERHADAP KEPUASAN NASABAH ASURANSI PT JASA RAHARJA (PERSERO) DI KABUPATEN SANGGAU
'Tanjungpura University', 2019Co-Authors: B11211164, Sy. Muhammad SyafiqAbstract:Tujuan penelitian ini adalah untuk mengetahui pengaruh secara simultan dan parsial dari kualitas layanan yang meliputi variabel keandalan, bukti nyata, daya tanggap, jaminan dan empati terhadap kepuasan nasabah PT Jasa Raharja (Persero) di Kabupaten Sanggau. Metode penelitian yang digunakan adalah penelitian kausalitas. Populasi penelitian meliputi seluruh nasabah yang pernah mengajukan klaim pada tahun 2017 berjumlah 83 orang, dengan sampel sebanyak 66 responden (tidak termasuk 17 orang yang merupakan kecelakaan tunggal). Penelitian populasi atau sampel sensus, sementara pengukuran data menggunakan skala Likert. Data diolah dengan menggunakan analisis regresi linear berganda. Berdasarkan hasil penelitian, secara simultan (Uji F) menerima hipotesis bahwa variabel kualitas layanan berpengaruh signifikan terhadap kepuasan nasabah. Sementara secara parsial (Uji t) menerima hipotesis untuk variabel keandalan dan daya tanggap yang berpengaruh terhadap kepuasan nasabah. Variabel yang menolak hipotesis adalah variabel keberwujudan, jaminan dan empati. Kata kunci : kualitas layanan, kepuasanReferensiAfifah, Nur, 2012, Disertasi: Pengaruh Kulitas Layanan Terhadap Kepuasan Nasabah, Komitmen Afektif, Komitmen Normatif, Komitmen Kontinuan Serta Loyalitas Nasabah Dibetur PT Bank Kalbar Di Kalimantan Barat, Universitas Airlangga: Surabaya. Tidak dipublikasikanAlma, Buchari, 2000, Manajemen Pemasaran dan Pemasaran Jasa Edisi Revisi, Bandung: Penerbit Alfabet.Amin, Widjaja, 2009. Manajemen Mutu, Jakarta: Terpadu Rineka.Ancok, Djamaluddin, dan Singarimbun, 1995. Metode Penelitian Survai. Jakarta: LP3ES.Arisutha, Damartaji, 2005. Dimensi Kualitas Pelayanan. Jakarta: Penerbit Gramedia Pustaka.Barata, Atep. D., 2001. Pelayanan Prima. Jakarta: Elex Media Komputindo.Engel, James, 1990. (Diterjemahkan oleh Purwoko) Satisfaction; A Behavioral Perspective On The Consumer. Mc-Graw Hill Companies Inc., USA.Gaspersz, Vincent. 1997., Manajemen Kualitas : Penerapan Konsep Vincent Dalam. Manajemen Bisnis Total, Jakarta: Gramedia Pustaka Utama.--------------, 2003. Manajemen Bisnis Total - Total Quality Management. Jakarta: Penerbit PT. Gramedia Pustaka Utama.Gronroos, Michael, 1990. Perceived Service Quality Model. California: Published Ohio University Press.--------------, 1990, Service Management and Marketing; Managing The Moments of Truth in Service Competition, Lexington Books, Lexington, Mass.Gujarati, Damodar, 2001, Ekonometri Dasar, diterjemahkan oleh Sumarmo Zain, Edisi Bahasa Indonesia, Jakarta: Penerbit Erlangga.Haksever, Cengiz, at. all, 2000, Service Management and Operation, Second Edition, USA: Prentice Hall International.Hesketts, Robert, 1990. Service Profit Chain Model. Prentice Hall, California Press.Hartono, Siti Soemantri,1993, KUHD, Yogyakarta: Penerbit Bursa Buku.Kotler, Philip dan Gary Armstrong, 1998, Dasar-dasar Pemasaran Jilid 2 Edisi Bahasa Indonesia dari Principles of Marketing 7e, Jakarta: Penerbit Prenhallindo.--------------, Swee Hoon Ang, Siew Meng Leong dan Chin Tiong Tan, 2001, Manajemen Pemasaran Perspektif Asia Buku 2, Yogyakarta: Penerbit Andi.--------------, 2007. Manajemen Pemasaran Jilid 1 (11th ed.) (Benyamin Molan, Penerjemah). Jakarta: PT. Indeks.Kuncoro, Mudrajad, 2004, Metode Kuantitatif, Teori dan aplikasi Untuk Bisnis dan ekonomi, Eidis-2, Yogyakarta: AMP YKPN.Lupiyoadi, Rambat, 2001, Manajemen Pemasaran Jasa, Jakarta : Penerbit Salemba Empat.Lovelock, Christopher H., and Lauren K, Wright. 2005. Principles of Service Marketing Management. New Jeresey: Prentice-Hall, IncMalo, Manasse. Et.al, 1986, Buku Materi Pokok: Metode Penelitian Sosial Modul 6-9. Jakarta : Karunika.UT.Manullang, Ida, (2008), Pengaruh Kualitas Pelayanan Terhadap Kepuasan Pelanggan Jasa Penerbangan PT. Garuda Indonesia Airlines Di Bandara Polonia Medan, Pasca Sarjana Universitas Sumatra Utara, Thesis, Tidak dipublikasikan.Marcel, Davidson, 2003. Service Quality in Concept and Theory. USA : Published by American Press.Margaretha, 2003. Kualitas Pelayanan: Teori dan Aplikasi. Jakarta : Penerbit Mandar Maju.Martul, Shadiqqin, 2004. Implementasi Dimensi Kualitas Pelayanan Konsumen. Jakarta : Penerbit Sinar Grafika.Marzuki, 1996, Metodologi Riset, Yogyakarta: Penerbit BPFE-UII.Nasution, M. N., 2001, Manajemen Mutu Terpadu (Total Quality Management), Jakarta : Penerbit Ghalia Indonesia.Norman, Davis, 1992. Service Management System. USA : Prentice Hall Ohio University Press.Oemi, 1995. (Diterjemahkan oleh Purwoko) Measuring Customer Satisfaction; Survey Design, Use and Statistical Analysis Methods. USA: ASQ Quality Press, Wisconsin.Olson, Peter, 1993, Consumer Behavior and Marketing Strategy, Richard D. Irwan Inc, Boston, Third Edition.Parasuraman, A. Valerie, 2001. (Diterjemahkan oleh Sutanto) Delivering Quality Service. New York: The Free Press.Peter, J.H., 2003. Service Management in Managing The Image. Jakarta : Trisakti University.Purwoko, Bambang, A., 2000. Asocial Security Highlight in Indonesia: An Economic Perspective. Jakarta: Komunika Jaya Pratama.Payne, Andrian, 2000, Pemasaran Jasa (The Essence of Service Marketing), Terjemahan Fandy Tjiptono, Edisis 1, Cet.1, Yogyakarta : Andi.Rangkuti, Freddy, 2006, Measuring Customer Satisfaction. Jakarta: PT. Gramedia Pustaka. Utama.--------------, 2003. Konsep Pengukuran Kepuasan. Jakarta: Penerbit PT. Gramedia Pustaka Utama.Samuelson, Jeniston, 2000. Application of Quality Service Theory. USA: Published by John Wiley and Sons.Santosa, Urbayu Budi, Ashari, 2003, Analisis Statistik Dengan MS. Excel dan SPSS, Yogyakarta : Andi Offset.Stemvelt, Robert C., 2004. (Diterjemahkan oleh Purwoko) Perception of Service Quality. Allyn and Bacon, Massachusetts.Sugiyono,2003, Metode Penelitian Administrasi, Bandung: Alfabeta.Supranto, J. 2006, Pengukuran Tingkat Kepuasan Pelanggan untuk Menaikkan Pangsa Pasar, Cetakan Ketiga, Jakarta: PT.Rineka Cipta.Sunyoto, Hamingpraja, 2004. Jaminan Kualitas Pelayanan Konsumen. Penerbit Liberty, Yogyakarta.Syamsuddin, 1999. Kepuasan Konsumen dalam Pemasaran Jasa. Bandung: Penerbit Tarsito.Tirtomulyo, Abadi, 1999. Peningkatan Kepuasan Konsumen dalam Tinjauan Pemasaran Jasa. Jakarta: Penerbit Rajawali Press.Tjiptono, Fandy, 2004. Kepuasan dalam Pelayanan. Jakarta: Penerbit Salemba Empat.--------------, 2000, Strategi Pemasaran, Yogyakarta: Penerbit Andi.--------------, 2004. Manajemen Jasa. Yogyakarta: Penerbit Andi.--------------, 2007, Strategi Bisnis Modern, Edisi Pertama, Cetakan Pertama, Yogyakarta: Andi offset.Umar, Husein, 2003, Metode Penelitian untuk Skripsi dan Tesis Bisnis, Jakarta: Penerbit PT Raja Grafindo Persada.Yong, C.Z., Yun, Y.W., Loh, L., 2003. (Diterjemahkan oleh Sutanto). The Quest for Global Quality. Jakarta : Pustaka Delapratasa.Zeithaml, Bitner, 1990. (Diterjemahkan oleh Purwoko) The Concept of Customer Satisfaction. Usa: The McGraw-Hill Companies. Inc-------, 1992., Kitab Undang-Undang Hukum Dagang (KUHD)-------, Nomor 63 Tahun 2003, Keputusan Menteri Pendayagunaan Aparatur Negara.Jurnal :Anderson, E. W., & Sullivan, M. W., 1993, The Antecedents and Consequences of Customer Satisfaction For Firms, Marketing Science,. Vol. 12, Iss. 2, pp. 125Cadotte, E.R., Woodruff, R.B. & Jenkins, R.L., 1987, Expectations and Norms in Models of Customer Satisfaction, Journal of Marketing Research, Vol. 14, pp. 305Cardozo, R.N., 1995, An Experimental Study of Customer Effort, Expectation, and Satisfaction, Journal of Marketing Research, Vol. 2, Iss. 3, pp. 244-249Christopher, L. Carr, 2002, A Psychometric Evaluation of the Expectation, Perceptions, and Difference-Scores Generated by the IS-Adapted SERVQUAL Instrument, Decision Sciences Vol 33, Number 2 : USA.Cronin, J.J. & Taylor, S.A., 1992, Measuring Service Quality: A re-Examination and Extension, Journal of Marketing, Vol. 56, July, pp. 55-68Dekker, A. Steven, 2001. Measure Service Quality: Reexamination and Extension. Journal of Marketing. Vol. 56. July, 55-68. (Diterjemahkan oleh Sutanto).Dowling, Graham R, 2001, The Alpha, Beta, Gamma Approach to Measuring Change and Its Use for Interpreting the Effectiveness of Service Quality Program, Australian Journal of Management, Volume 26 No.1 June, The Australian School of Management : AustraliaDuntley, J. D. & Buss, D. M. (2011). Homicide adaptations. Aggression and Violent Behavior, 16, 399-410.Irwandy, Nurdin Perdana, Dian S. Rislamind (2013), tentang Analisis Disparitas Kualitas Pelayanan Puskesmas Di Kabupaten Kutai Kartanegara, Jurnal AKK, Vol 2 No 1, Januari 2013, hal 42-50James, J. Jiang; Gary Klein and S.M. Crampton (2000), a Note on SERVQUAL Relialibity and Validity in Information System Service Quality Measurement, Decision Science Vol 31, No. 3: USA.Gómez, M.I., McLaughlin, E.W. and Wittink, D.R. 2004 “ Customer Satisfaction and Retail Sales Performance: An Empirical Investigation,” Journal of Retailing, 80(4): 265-278.Gronroos, C., 1984, A Service Quality Model and Its Marketing Implications, European Journal of Marketing, Vol. 18 No. 4, pp. 36-44Oliver, R.L. 1997. A Cognitive Model of The Antecedents and Consequences of Satisfaction Decisions. Journal of Marketing Research.Parasuraman, A., Zeithaml, V.A., & Berry, L.L. 1998, “Servqual, A MultipleItem Scale for Measuring Consumer Perceptions of Service Quality”,Journal Of Retailing 64 (Spring) 12-40.Zeithaml, V.A., Berry, L.L., & Parasuraman, A. 2003. The Behavioral Consequences of Service Quality. Journal of Marketing