When Is Information Quality More Important?: The Moderating Effects of Perceived Market Orientation and Shopping Value

When Is Information Quality More Important?: The Moderating Effects of Perceived Market Orientation and Shopping Value

Xina Yuan, Kyounghee Chu, Shun Cai
Copyright: © 2018 |Pages: 29
DOI: 10.4018/JGIM.2018040110
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Abstract

One of the key elements that an electronic retailer (e-tailer) relies on for converting website visitors to buyers is information quality management. Previous studies recognized that information quality is a significant predictor of the online consumers' trust, satisfaction with the goods offered by the e-tailer, and most importantly, purchase intention. However, the extant research has largely ignored the possibly contingent effects of information quality on consumer's purchasing intention. By integrating theories and prior research findings from the marketing and e-commerce field, this article validates the direct effect of information quality on consumer's purchasing intention. More importantly, the authors propose that an e-tailer's market-oriented image (perceived market orientation) and consumer's shopping value would have a moderating role on the relationship between information quality and purchasing intention. A survey was conducted to collect data to test the proposed research model. The results generally support the authors' hypotheses. The practical and theoretical contributions of the study are discussed.
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Introduction

Online shopping is now a popular form of consumer buying behavior across a broad range of product categories (Rose & Samouel, 2009). The Internet gave birth to online retailing, and electronic business has become a common way of doing business (Alba et al., 1997; Cai & Xu, 2011; Gao et al., 2012; Wolfinbarger & Gilly, 2003). However, an electronic hypermedia environment often faces challenges in anticipating and satisfying customers because of the physical separation between buyers and sellers (Pavlou & Gefen, 2004; Phang et al., 2010; Qureshi et al., 2009; Trocchia & Janda, 2003). In an online shopping context, consumers do not have complete information about the products and services that are offered by e-tailer on a website. Therefore, they seek information that allows them to discriminate between a seller of high-quality goods and a seller of low-quality goods (Kuan et al., 2008; Ranganathan & Ganapathy, 2002). Therefore, taking full advantage of the Internet’s capability to deliver complete information to consumers well is critical for successful e-commerce (Gao et al., 2012).

The extant research has recognized that the information quality of websites is a significant predictor of the satisfaction and trust, revisit intention, and most importantly, purchase intention of online consumers (Bock et al., 2012; Chen et al., 2009; Evanschitzky et al., 2004; Kuruzovich et al., 2008; McKinney, 2004; Mukherjee & Nath, 2007). Information quality has been verified to be strongly related to system’s perceived usefulness and net benefits, especially in the context of e-commerce systems (Delone & McLean, 2003). However, several studies argued that the effect of information quality on purchasing intention is relatively weak or varies in different circumstances (e.g. Jang et al., 2008; Kuan et al., 2008; Ranganathan & Ganapathy, 2002; Zo & Ramamurthy, 2009). Thus, the potential contingency of its importance can be highlighted, such that information displayed on an e-tailer website provides different values to consumers depending on the e-tailer’s characteristics and the consumer’s characteristics.

Since electronic commerce has become the common way of doing business, market-orientation strategy play a crucial role in gaining competitive advantage in on-line and off-line worlds (Luo & Seyedian 2003). To this end, we include market orientation in the proposed research model. From the signaling perspective, the provision of comprehensive information on the website signals an e-tailer’s commitment to cater to and care about consumers’ information needs, and the market orientation of the e-tailer could strengthen such signals, for example, a customer-oriented strategy might be more in line with this signal. However, a competitor-oriented strategy that mainly focuses on price and promotion but not complete information provision.

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