SQ mGov: A Comprehensive Service-Quality Paradigm for Mobile Government
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Notice bibliographique
Résumé
AbstractService quality of Mobile Government (mGov) is an important concept; however, to date, there has been relatively little work conducted in this emerging area. Based on an empirical study conducted among 1404 users of mGov in Mumbai, India, this study conceptualizes and identifies four service-quality dimensions—connectivity, interactivity, understandability, and authenticity—as the formative constructs of mGov service quality, and 16 measuring items to evaluate those dimensions as the reflective indicators.Keywords: mGoveGovcitizenservice qualityconsumer behavior Additional informationNotes on contributorsMahmud Akhter ShareefMahmud Akhter Shareef is an associate professor of School of Business, North South University, Bangladesh. He was a visiting faculty in DeGroote School of Business, McMaster University, Canada, during his post doctorate research. He has done his PhD in Business Administration from Sprott School of Business, Carleton University, Canada. He received his graduate degree from both the Institute of Business Administration, University of Dhaka, Bangladesh in Business Administration and Carleton University, Ottawa, Canada in Civil Engineering. He has published more than 50 papers addressing consumers adoption behavior and quality issues of e-commerce and e-government in different leading journals of IS and marketing.Yogesh K. DwivediYogesh K. Dwivedi is a professor in the School of Management, Swansea University, Wales, UK. He obtained his PhD and MSc in Information Systems from Brunel University, UK. He has co-authored several papers which have appeared in international referred journals such as CACM, DATA BASE, EJIS, ISJ, ISF, JCIS, JIT, JORS, and IMDS. He is Associate Editor of EJIS, Assistant Editor of TGPPP, Managing Editor of JECR and member of the editorial board/review board of several journals. He is a member of the AIS and IFIP WG8.6.Teta StamatiTeta Stamati obtained her degree in Computer Science from the National and Kapodistrian University of Athens, Greece. She also holds an MPhil in enterprise modeling techniques from the University of Manchester Institute of Science and Technology (UMIST) in the UK, an MBA Degree from Lancaster University Management School in the UK, and a PhD from the National and Kapodistrian University of Athens, Greece. Currently she is adjunct faculty member at University of Athens. Greece. She has extensive experience in top management positions in leading ICT companies of the Greek and European private sector.Michael D. WilliamsMichael D. Williams is a professor in the School of Management at Swansea University in the UK. He holds a BSc from the CNAA, an MEd from the University of Cambridge, and a PhD from the University of Sheffield. Prior to entering academia, Professor Williams spent twelve years developing and implementing ICT systems in both public and private sectors. He is the author of numerous fully refereed and invited papers within the ICT domain, has editorial board membership of a number of academic journals, and has obtained external research funding from sources including the European Union, the Nuffield Foundation, and the Welsh Assembly Government.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle