社交用户和社交特征对印度尼西亚Instagram推荐接受的作用

2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2018-10-01 DOI:10.1109/EECSI.2018.8752916

M. Yusron, P. W. Handayani, Q. Munajat

{"title":"社交用户和社交特征对印度尼西亚Instagram推荐接受的作用","authors":"M. Yusron, P. W. Handayani, Q. Munajat","doi":"10.1109/EECSI.2018.8752916","DOIUrl":null,"url":null,"abstract":"This study aims to identify the effect of social features and social users on recommendations acceptance on shopping activities in Instagram. This study uses quantitative approach to process 654 data collected using online questionnaire. The data were analyzed using CB-SEM method and AMOS 21 tools. The results of this study showed that social features and social users give moderating effect on the relationship between social recommendation, cognitive appraisal and affective appraisal. Meanwhile, affective and cognitive appraisal was found to affect purchase intention. The finding shows that the user giving recommendation and the features used to make recommendation can influence the level of recommendation acceptance.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"37 1","pages":"90-96"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The Role of Social User and Social Feature on Recommendation Acceptance in Instagram in Indonesia\",\"authors\":\"M. Yusron, P. W. Handayani, Q. Munajat\",\"doi\":\"10.1109/EECSI.2018.8752916\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study aims to identify the effect of social features and social users on recommendations acceptance on shopping activities in Instagram. This study uses quantitative approach to process 654 data collected using online questionnaire. The data were analyzed using CB-SEM method and AMOS 21 tools. The results of this study showed that social features and social users give moderating effect on the relationship between social recommendation, cognitive appraisal and affective appraisal. Meanwhile, affective and cognitive appraisal was found to affect purchase intention. The finding shows that the user giving recommendation and the features used to make recommendation can influence the level of recommendation acceptance.\",\"PeriodicalId\":6543,\"journal\":{\"name\":\"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)\",\"volume\":\"37 1\",\"pages\":\"90-96\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EECSI.2018.8752916\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EECSI.2018.8752916","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 2

摘要

本研究旨在确定社交功能和社交用户对Instagram购物活动推荐接受度的影响。本研究采用定量方法，对654份通过在线问卷收集的数据进行处理。采用CB-SEM方法和AMOS 21工具对数据进行分析。研究结果表明，社交特征和社交用户对社交推荐、认知评价和情感评价之间的关系具有调节作用。同时发现情感评价和认知评价对购买意愿有影响。研究结果表明，推荐的用户和用于推荐的特征会影响推荐的接受程度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

The Role of Social User and Social Feature on Recommendation Acceptance in Instagram in Indonesia

This study aims to identify the effect of social features and social users on recommendations acceptance on shopping activities in Instagram. This study uses quantitative approach to process 654 data collected using online questionnaire. The data were analyzed using CB-SEM method and AMOS 21 tools. The results of this study showed that social features and social users give moderating effect on the relationship between social recommendation, cognitive appraisal and affective appraisal. Meanwhile, affective and cognitive appraisal was found to affect purchase intention. The finding shows that the user giving recommendation and the features used to make recommendation can influence the level of recommendation acceptance.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)

自引率

0.00%

发文量