Effect of Smartphone Choice, Customer Satisfaction and Reason to Change Smartphone on Smartphone Repurchase
Notice bibliographique
Résumé
Advances in Smartphone technology make the growth of Smartphone users among the people more rapidly. The high growth of Smartphone users makes Smartphone manufacturers compete with each other in understanding market needs. Every competing company actually has the same goal, namely how to make the products that are made can be well received by consumers. In accordance with sales data of smart cellphones (Smartphones) that have been released by International Data Corporation (IDC) from the first quarter of 2017 to the third quarter (Q3) - 2018 experienced sales fluctuations. Smartphone sales in 2018 fell by 5.9%. Similarly, the number of smartphone shipments in Indonesia in the third quarter (Q3) -2018 reached 8.6 million units, up 18% annually. But from quarter to quarter it decreased by 9%. Within 1-2 years Indonesian people like to switch smartphones, more than 56% of respondents replace their smartphones with new ones. This is consistent with data from the MARS research institute conducting a survey of 290 respondents in the Jakarta, Bogor, Depok, Tangerang and Bekasi areas. Within a period of more than 2 years, there were 20.6% of Smartphone users making smartphone replacements. The fastest duration that users do is within 3 months, done as much as 2, 4%. Every new smartphone launched, the interest of the people of Indonesia will certainly remain high. Consumer behavior when buying any product including smartphones not only concerns his own behavior, but a combination of the behavior of others who help or support the purchasing process that can work as an initiator, influencer, and decision maker and the level of involvement of all these people may differ in each purchase. There are many variables that influence consumer behavior including, age, sex, personal motivation, needs, attitudes and values, personality characteristics, socio-economic and cultural background, professional status to social influences such as family, friends, colleagues and society as a whole. This research was conducted to determine the effect of Smartphone choice, Customer Satisfaction, Reason To Change Smartphone on Smartphone Repurchase. The methodology of this research is to collect data in the form of questionnaires distributed online to respondents who are consumers of Smartphone users, the method used in this study is a quantitative method by collecting a sample of approximately 400 respondents. Based on the results of data analysis found that variables consisting of Smartphone choice, Customer Satisfaction and Reason To Change Smartphone and a positive and significant effect on Repurchase.
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Comment cette classification a été obtenuedéplier
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 | 0,009 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,003 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».