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Impact of social commerce constructs and social support on social commerce intentions

机译:社会商业结构和社会支持对社会商业意图的影响

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摘要

Purpose The purpose of this paper is to investigate the influence of social commerce constructs (SCCs), social support and relationship quality on social commerce intentions, which lead to use behaviour of social networking sites for social commerce.Design/methodology/approach Data were collected from 343 users of social networking sites in Pakistan. The data analysis was conducted using PLS-SEM.Findings The results show that SCCs have empowered consumers through the existence of virtual groups, ratings and reviews and recommendations and referrals, thereby having a significant impact on social commerce intentions. The relationship quality with social networking sites, measured through commitment, satisfaction and trust, also proved to be a leading forecaster of social commerce intentions. The impact of social support could not positively influence the relationship quality with the social networking site. However, social support influences the social commerce intentions significantly.Research limitations/implications Future research should enrich model with some moderating variables and data may be collected from actual online shoppers only.Practical implications This study provides valuable insights to retailers to formulate their social commerce strategies as per decision factors results to have maximum engagement of consumers in social commerce.Originality/value The study proposes the unique model for finding the social commerce intentions and use behaviour using social support theory, relationship marketing theory and information systems literature.
机译:目的本文的目的是调查社交商务构架(SCC),社交支持和关系质量对社交商务意图的影响,从而导致社交网站在社交商务中的使用行为。收集设计/方法/方法数据来自巴基斯坦的343个社交网站用户。使用PLS-SEM进行数据分析。结果表明,SCC通过存在虚拟组,评分和评论以及推荐和推荐来增强消费者的能力,从而对社交商业意图产生重大影响。通过承诺,满意度和信任度来衡量的与社交网站的关系质量也被证明是社交商业意图的主要预测者。社会支持的影响不能积极影响与社交网站的关系质量。然而,社会支持对社会商业意图的影响很大。研究局限性/意义未来的研究应使用一些适度的变量来丰富模型,并且数据只能从实际的在线购物者那里收集。实际意义该研究为零售商制定社会商业策略提供了宝贵的见解。原创性/价值本研究提出了一种独特的模型,该模型使用社会支持理论,关系营销理论和信息系统文献来发现社会商业意图和使用行为。

著录项

  • 来源
    《Information technology & people》 |2019年第1期|68-93|共26页
  • 作者单位

    Hefei Univ Technol, Sch Management, Hefei, Anhui, Peoples R China|Beaconhouse Natl Univ, Dept Management Sci, Lahore, Pakistan;

    Hefei Univ Technol, Sch Management, Hefei, Anhui, Peoples R China;

    Tongji Univ, Sch Econ & Management, Shanghai, Peoples R China|Mohammad Ali Jinnah Univ, Sch Management, Karachi, Pakistan;

    Khawaja Fareed Univ Engn & Informat Technol, Dept Management Sci, Rahim Yar Khan, Pakistan;

    Univ Sci & Technol, Inst Management Sci, Bannu, Pakistan;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Social media; Web 2; 0; Information sharing; Social networking;

    机译:社交媒体;Web 2;0;信息共享;社交网络;
  • 入库时间 2022-08-18 04:20:47

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