Analisis Pengaruh Kualitas Layanan Menggunakan MIM-E-QUAL terhadap Kepuasan, Loyalitas, Positive Word-of-Mouth dan Intention To Use Berdasarkan Persepsi Pengguna WeChat di Indonesia
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Notice bibliographique
Résumé
Indonesia merupakan salah satu negara yang menunjukkan peningkatan jumlah pengguna aplikasi mobile instant messaging . Salah satu yang sangat gencar memasarkan aplikasi mobile instant messaging di Indonesia adalah Tencent lewat produknya aplikasi WeChat. Berdasarkan hasil penelitian GlobalWebIndex, WeChat mengalami pertumbuhan pengguna yang signifikan di Indonesia tetapi WeChat belum mampu mengungguli pesaingnya. Salah satu strategi WeChat untuk meningkatkan pengguna adalah fokus untuk mengajak pengguna yang belum aktif menjadi pengguna aktif agar lebih banyak pengguna yang menggunakan WeChat dan tetap loyal. Oleh karena itu, penelitian ini dilakukan untuk mengetahui faktor-faktor kualitas layanan apa saja berdasarkan metode MIM-E-QUAL yang memiliki pengaruh signifikan terhadap kepuasan pengguna. Selain itu, penelitian ini juga dilakukan untuk mengetahui pengaruh kepuasan pengguna terhadap loyalitas, positive word-of-mouth, dan intensi untuk menggunakan WeChat. Pengumpulan data dilakukan melalui kuesioner online, dan data berhasil dikumpulkan dari 199 responden yang merupakan pengguna WeChat di Indonesia. Analisis data dilakukan dengan menggunakan teknik Partial Least Squares (PLS). Hasil penelitian ini menunjukkan seluruh faktor kualitas layanan berdasarkan MIM-E-QUAL memiliki pengaruh signifikan terhadap kepuasan pengguna dimana faktor reliability (kehandalan) memberikan pengaruh paling signifikan. Penelitian ini juga membuktikan bahwa kepuasan pengguna memberikan pengaruh paling signifikan terhadap loyalitas pengguna. Kata Kunci: Kualitas Layanan, MIM-E-QUAL, WeChat, Kepuasan Pelanggan, Loyalitas, Positive Word-of-mouth , Intention to Use Indonesia is one of the fastest growth mobile instant messanging (MIM) applications user. One of MIM apps that still growing in Indonesia is Tencent with WeChat application. Based on the research results of GlobalWebIndex, WeChat experienced significant growth in users in Indonesia but WeChat has not been able to outperform its competitors. One of strategy to increase WeChat user is focused to encourage users who have actively become active users so that more users are using WeChat and remain loyal. Therefore, this study was conducted to determine the factors of service quality using MIM-E-QUAL methods which has an influence on user satisfaction. In addition, this study also conducted to determine the effect of user satisfaction to loyalty, positive word-of-mouth and intention to use WeChat. Data collected through online questionnaires and data were collected from 199 respondents who are users WeChat in Indonesia. Data analysis was done by using Partial Least Squares (PLS). All factors in MIM-E-QUAL which included Reliability, Assurance, Personalization, Enjoyment, Perceived Price Level, and Ease of Use are confirmed to have significance influence with satisfaction. Reliability has the most significance influence with satisfaaction. This study also shows that user satisfaction is the most significant influence on user loyalty. Key words: Service Quality, MIM-E-QUAL, WeChat, Customer Satisfaction, Loyalty, Positive Word-of-mouth, Intention to Use Daftar Pustaka Ahmad, A., & Al-Zu'bi, H. (2011, Februari 2011). E-banking Functionality and Outcomes of Customer Satisfaction: An Empirical Investigation. International Journal of Marketing Studies, 3 (1), 50-65. Retrieved from www.cosecenet.org/ijms Baskoro, W. (2013, Maret 1). Retrieved Maret 08, 2015, from Trenologi: http://www.trenologi.com/2013030111340/wechat-resmi-hadir-di-indonesia/ Belanche, D., Casalo, L., & Guinaliu, M. (2012). Website usability, consumer satisfaction and the intention to use a website: the moderating effect of perceived risk. Journal of retailing and consumer services, 19 (1), 124-132. Retrieved from ScienceDirect Casalo, L. V., Flavian, C., & Guinaliu, M. (2008). The role of satisfaction and website usability in developing customer loyalty and positive word-of-mouth in the e-banking services. International Journal of Bank Marketing, 26 (6), 399-417. Retrieved from Emerald Insight Chun-zhi, W., & Kai, W. (2008). Research on User Loyalty of Instant Messanging Tools. 11th Joint Conference on Information Sciences (p. Desember). Atlantis Press. Retrieved from http://www.atlantis-press.com/publications/aisr/jcis-08/index-jcis08.html?http%3A//www.atlantis-press.com/php/paper-details.php%3Ffrom%3Dauthor+index%26id%3D1783%26querystr%3Dauthorstr%253DW%2526publication%253Djcis2008 Deng, Z., Lu, Y., Wei, K. K., & Zhang, J. (2010). Understanding customer satisfaction and loyalty: An empirical study of mobile instant messages in China. International Journal of Information Management, 30 (4), 289–300. Retrieved from ScienceDirect Goyette, I., Ricard, L., Bergeron, J., & Marticotte, F. (2010). e‐WOM Scale: word‐of‐mouth measurement scale for e‐services context. Canadian Journal of Administrative Sciences/Revue Canadienne des Sciences de l'Administration, 27 (1), 5-23. Retrieved from Ualberta Latan, H., & Ghozali, I. (2015). Partial Least Squares: Konsep, teknik, dan aplikasi menggunakan program SmartPLS 3.0. Semarang: Badan Penerbit Universitas Diponegoro. Liao , S.-H., Chung, Y.-C., Hung, Y., & Widowati, R. (2010, Desember). The impacts of brand trust, customer satisfaction, and brand loyalty on word-of-mouth. Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference on , 1319-1323. http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5674402&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5674402 Lien, C. H., & Cao, Y. (2014). Examining WeChat users’ motivations, trust, attitudes, and positive word-of-mouth: Evidence from China. Computers in Human Behavior , 41 , pp. 104–111. Retrieved from ScienceDirect Priambada, A. (2014, Desember 18). Retrieved Maret 09, 2015, from DailySocial: https://dailysocial.net/post/wechat-user-experience-konten-lokal-2015 Sanjaya, J. (2014, November 26). iTech . Retrieved Maret 07, 2015, from iTech: http://itechmagz.com/2014/11/26/gwi-pengguna-wechat-indonesia-meningkat-895/ Sulistyobudi, H. (2015, April 6). Public Relation Department Head. (F. Rojabhy, Interviewer) Wei, W. A., & Jianping, W. U. (2014). Development and Inspection of WeChat Electronic Service Quality Scale. International Business and Management , 9(2). Retrieved from http://www.cscanada.net/index.php/ibm/article/view/5879
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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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,004 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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