THE EFFECT OF ELECTRONIC WORD-OF-MOUTH ON CONSUMER PURCHASE INTENTION

Background to the Study

Word-of-mouth has historically been regarded as one of the most persuasive forms of marketing communication because it is perceived as non-commercial and driven by genuine experience (Arndt, 1967). The digital revolution has fundamentally redefined this concept. The emergence of e-commerce websites, dedicated review platforms, and social networking sites has given rise to electronic word-of-mouth (eWOM), defined by Hennig-Thurau et al. (2004) as any positive or negative statement made by potential, actual, or former customers about a product or company, which is made available to a multitude of people via the internet.

Three characteristics distinguish eWOM from traditional WOM. First, its scalability: a single review can reach thousands of potential buyers. Second, its persistence: unlike spoken conversation, online reviews remain archived and searchable for years. Third, its accessibility to strangers, allowing consumers to rely on the experiences of individuals outside their immediate social circle (Cheung & Thadani, 2012). According to consumer behavior research from Northwestern University, over 90% of online shoppers read reviews before purchasing, underscoring its centrality in the decision journey.

In the current digital ecosystem, eWOM research has shifted from asking whether reviews matter to investigating which dimensions of eWOM matter most. Key constructs include argument quality – the logical strength and informativeness of a review, source credibility – the trustworthiness and expertise of the reviewer, and review valence – the positive or negative sentiment of the message. These dimensions are central to the Information Adoption Model proposed by Sussman and Siegal (2003), which explains how individuals adopt information on computer-mediated platforms.

In Nigeria, the eWOM phenomenon has accelerated alongside internet penetration and mobile commerce. Consumers increasingly consult platforms such as Jumia, Konga, Instagram vendors, and Nairaland before making purchase decisions. Yet, this growth is accompanied by rising concerns about fake reviews, incentivized ratings, and review manipulation. Understanding how credibility and valence shape information usefulness and purchase intention within this context is crucial.

Explore consumer behavior project topics | External: Northwestern University - Marketing Research, Harvard Business School on Online Reviews, Purdue University Consumer Science

Statement of the Problem

While it is widely acknowledged that online reviews influence buying decisions, there remains a critical gap in understanding the precise psychological mechanisms that convert eWOM exposure into actual purchase intention. Many businesses in Nigeria still rely heavily on simplistic metrics such as total number of reviews and average star rating, assuming that higher volume automatically translates to higher sales. This approach overlooks evidence that consumers engage in deeper information processing, evaluating the quality of arguments and the credibility of the source before internalizing the message.

Furthermore, the negativity bias – the well-documented tendency for negative information to exert disproportionately greater impact on judgments than positive information – has profound implications for eWOM management that are not yet fully explored in emerging market literature (Chevalier & Mayzlin, 2006). If negative reviews carry more weight, brands require distinct strategies for handling negative feedback rather than merely soliciting more positive reviews.

Most existing empirical studies on eWOM and purchase intention have been conducted in developed economies such as the US, UK, and China, where e-commerce infrastructure, consumer protection laws, and digital literacy levels differ significantly from Nigeria. There is therefore a contextual gap. How do source credibility and review valence interact to influence purchase intention among Nigerian online consumers who face challenges of review authenticity and varying levels of digital trust? This study addresses this gap by providing context-specific empirical evidence on the credibility-usefulness-intention pathway.

Aim and Objectives of the Study

The main aim of this study is to examine the effect of electronic word-of-mouth on consumer purchase intention among selected online consumers.

·         Assess the extent of consumer exposure to and reliance on electronic word-of-mouth among online shoppers.

·         Determine the effect of electronic word-of-mouth on consumer purchase intention.

·         Examine the influence of eWOM source credibility on perceived information usefulness.

·         Evaluate the moderating role of review valence (positive versus negative) on the relationship between electronic word-of-mouth and consumer purchase intention.

Research Questions

·         What is the extent of consumer exposure to and reliance on electronic word-of-mouth?

·         What effect does electronic word-of-mouth have on consumer purchase intention?

·         What influence does eWOM source credibility have on perceived information usefulness?

·         What moderating role does review valence play in the relationship between electronic word-of-mouth and consumer purchase intention?

Research Hypotheses

H01: Electronic word-of-mouth has no significant effect on consumer purchase intention.
H02: eWOM source credibility has no significant influence on perceived information usefulness.
H03: There is no significant relationship between argument quality of eWOM and consumer purchase intention.
H04: Review valence does not significantly moderate the relationship between electronic word-of-mouth and consumer purchase intention.

Significance of the Study

This study is significant for theory, practice, and policy. For marketing practitioners and brand managers, it offers data-driven guidance on which eWOM attributes to prioritize. Instead of focusing solely on review volume, managers can invest in enhancing argument quality and credibility cues such as verified purchase badges, detailed photos, and authentic reviewer profiles.

For e-commerce platform managers, findings illuminate how platform design influences trust; credibility signals directly affect whether eWOM is perceived as useful. For consumer protection agencies and policymakers, the study highlights the importance of review authenticity in shaping purchase intention, contributing to debates on fake review regulation.

For scholars, it extends the Information Adoption Model and Source Credibility Theory to the Nigerian context, providing a validated framework for future research on digital consumer behavior in Africa. Students seeking similar studies can explore marketing and consumer behavior materials at ScholarnestHub.

Marketing project topics on ScholarnestHub | E-commerce and digital marketing topics

Scope of the Study

The study focuses on the effect of electronic word-of-mouth on consumer purchase intention among online consumers who actively consult online reviews, ratings, or social media commentary before making purchase decisions. The conceptual scope is limited to six core constructs: eWOM exposure, source credibility, argument quality, information usefulness, review valence, and consumer purchase intention.

Geographically, the study covers selected online consumers within Enugu metropolis, Enugu State, Nigeria, chosen due to high internet penetration and e-commerce activity. The methodological scope involves a descriptive survey design using a structured questionnaire, with data analyzed through SPSS version 26. The study does not examine offline WOM or post-purchase behaviors such as loyalty or actual purchase, focusing instead on pre-purchase intention as a proxy.

Operational Definition of Terms

Electronic Word-of-Mouth (eWOM): Any positive, negative, or neutral statement made by potential, actual, or former customers about a product or company, made available to a multitude of people and institutions via the internet.

Online Consumer Reviews: Written or rated evaluations of a product or service posted by consumers on e-commerce platforms, review websites, or social media channels.

Source Credibility: The extent to which a consumer perceives the provider of eWOM as trustworthy, expert, and unbiased.

Argument Quality: The perceived strength, persuasiveness, logic, completeness, and evidential support of the information contained within a piece of eWOM.

Information Usefulness: The degree to which a consumer perceives a piece of eWOM as valuable, relevant, and helpful for making an informed purchase decision.

Review Valence: The overall positive or negative sentiment or tone expressed within an online review or comment.

Consumer Purchase Intention: A consumer's self-reported willingness, plan, or likelihood to purchase a specific product or brand in the near future, often used as a predictor of actual buying behavior.

Conclusion

This study confirms that electronic word-of-mouth is not merely a peripheral source of product information but a central and asymmetric driver of consumer purchase intention in emerging digital markets. Consumer exposure to eWOM is high, and its effect on purchase intention is statistically significant and positive. The persuasive power of eWOM, however, is not determined by volume alone; it is substantially conditioned by perceived source credibility and argument quality, which shape perceived information usefulness.

Furthermore, review valence significantly moderates the eWOM-intention relationship, with negative reviews exerting a disproportionately stronger influence than positive reviews. This negativity bias implies that a single detailed negative review can undermine multiple positive ones. For brands operating on platforms like Jumia, Instagram, or Konga, the implication is clear: active reputation management, prompt and empathetic response to negative feedback, and systems that encourage authentic, verifiable, and detailed reviews are more effective than strategies focused solely on accumulating five-star ratings.

Frequently Asked Questions (FAQs)

What is electronic word-of-mouth (eWOM)?

Electronic word-of-mouth is any positive, negative, or neutral statement about a product or company made by customers online and accessible to many people via the internet, including reviews, ratings, and social media comments.

How does eWOM affect consumer purchase intention?

eWOM affects purchase intention by providing trusted, experience-based information that reduces perceived risk. High-quality, credible, and positive eWOM increases the likelihood that a consumer will decide to buy a product.

What is the difference between WOM and eWOM?

Traditional WOM is private, spoken, and limited to friends and family, while eWOM is public, written, archived online, scalable to thousands of strangers, and searchable over time.

What is source credibility in eWOM?

Source credibility refers to how trustworthy and expert a reviewer appears. Reviews from verified buyers, detailed profiles, and reviewers with history are perceived as more credible and therefore more persuasive.

What is review valence?

Review valence is the tone of a review – whether it is predominantly positive or negative. Research shows negative valence often has a stronger impact on purchase decisions than positive valence.

Why do negative reviews influence buyers more than positive reviews?

This is due to negativity bias, a psychological principle where humans weigh negative information more heavily than positive information because negative cues signal potential risk or loss.

What is Information Adoption Model in eWOM research?

Proposed by Sussman and Siegal, the model explains that people adopt online information based on argument quality and source credibility, which determine perceived usefulness and then influence behavior like purchase intention.

How can businesses manage eWOM effectively?

Businesses should actively monitor review platforms, respond quickly and professionally to negative reviews, encourage detailed authentic reviews with photos, use verified purchase badges, and avoid fake reviews that damage trust.

Does eWOM work the same in Nigeria as in developed countries?

The core mechanisms are similar, but emerging markets like Nigeria face unique challenges such as concerns about fake reviews, lower digital literacy in some segments, and higher reliance on social media vendors, making credibility even more critical.

What methodology was used in this study on eWOM?

The study used a descriptive survey design with 384 online consumers selected via purposive and convenience sampling, using a validated 5-point Likert questionnaire and analyzed with descriptive statistics and multiple regression in SPSS 26.