Understanding Drivers of Self-Service Technology (SST) Satisfaction and Marketing Bottom Lines

Author:

Ugwuanyi Chidera Christian1ORCID,Oraedu Chukwunonso2ORCID,Ifediora Chuka Uzoma1,Izogo Ernest Emeka3ORCID,Asongu Simplice Anutechia4,Attamah Ikechukwu Joseph1

Affiliation:

1. University of Nigeria, Enugu, Nigeria

2. University of Nigeria Teaching Hospital, Enugu, Nigeria

3. Ebonyi State University, Abakaliki, Nigeria

4. African Governance and Development Institute, Cameroon

Abstract

Whilst self-service technologies (SSTs) are novel and evolving, they have rapidly grown popular across various retail service settings. Having been introduced into the Nigerian banking space, the level of customers’ satisfaction from the system is still unknown given that it has disrupted the initial service setup customers were used to. Utilising two theoretical perspectives, this study examined what drives customers’ satisfaction with banks’ SST and further assesses their influence on different marketing bottom lines. The study employed a quantitative approach to sampling 310 banks’ SST users within a popular university in Eastern Nigeria. Using the PLS-SEM technique, the study found that the perceived ease of use and perceived control are strong drivers of SST satisfaction and other marketing bottom lines. Surprisingly, perceived usefulness was found not to influence SST satisfaction, and therefore present a unique result in this context. Based on the foregoing, theoretical and managerial implications were provided.

Publisher

IGI Global

Subject

Human-Computer Interaction,Information Systems

Reference54 articles.

1. The theory of planned behavior

2. Anand, A. (2011). Welcome valued customer … to more self-checkouts. Today News. Available at: http://www.today.com/id/43729757/ns/today%20%20today_%20news/t/welcome -valued-customer-more-selfcheckouts#.VjzJ3LerRph

3. On the evaluation of structural equation models

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3