Measuring the impact of online reviews on consumer purchase decisions – A scale development study

Consumers' exposure to online reviews influences their online retail shopping behavior. They search for reviews while evaluating products for purchase decisions. Past studies have indicated that online reviews affect the credibility and trust of the sellers and the products they sell on online platforms. Keeping this in view, the current paper aims to develop and validate a scale to understand the impact of online reviews on consumer purchase decisions. Data were collected from 431 young online shoppers for this research. The initial exploratory factor analysis (EFA) results helped identify four factors, viz. source credibility, volume, language and comprehension, and relevance which constitute the scale. The scale was validated by confirmatory factor analysis (CFA). The study's findings fill the gap of having a standardized scale that online retailers can use as indicators to assist consumers in their online decision-making. The discussions and implications support consumers' susceptibility to online reviews, an essential source for product and brand information in facilitating online consumers' purchase decisions.     

A conceptual model to imply a negative innovation assessment framework on consumer behaviors through the electronic business platforms

Online retail platforms significantly impact consumers' purchasing decisions. Satisfaction, purchase intent, and repeat online shopping drive the platform's purchasing decisions. In contrast, individuals do not purchase products due to dissatisfaction and lack of purchasing intent. It will cause hesitation and spread negative feedback to influence online consumer behaviors. This research proposes a conceptual model incorporating the Status Quo Bias (SQB) and the Negative Online Purchase Decision-Making Process (NOPDMP) to suggest a new framework for evaluating the maintained consumer behavior of online shopping platforms. The questionnaires following the proposed conceptual model were collected from the sample data from participants of 384 experienced respondents using online shopping platforms. Data were analyzed for the causal relationship using Structural Equation Model. The implications of the assessment framework that incorporates the influence of negative factors can weigh the decision to purchase products and improve and reduce shopping cart abandonment on e-commerce platforms. This framework can also describe instances of negative perspectives regarding incentive alignments with actual behaviors.     

Exploring the core factors of online purchase decisions by building an E-Commerce network evolution model

With the continuous development of the Internet and information technology, online shopping has become a popular purchase mode. The in-depth analysis of consumer decision-making in online shopping is an important issue. Our purpose is to study how the factors of the shopping web pages corporately affect online purchase decisions and determine which are the core factors that affect consumer purchase decisions. We screen the influencing factors on the shopping webpage and deploy e-commerce network evolution based on various weight combinations of these factors to generate sales distributions of online products. By comparing these simulated sales distributions to the real data, the optimal weight of each factor is obtained. The results show that sales volume and the number of high-quality negative comments are the most important factors influencing consumers' decision-making, the number of comments and the number of comments with pictures are relatively minor factors, store type and video presentation of the products have the least impact. The optimal simulated sales distribution is very close to the real case and verifies that the introduced network evolution technology is applicable. The proposed model can be used as a uniform evaluation platform for correlational study, which is an important link in the purchase research chain.     

Tactical deception in covert selling: A persuasion knowledge perspective

In two studies, we examine consumers' perceptions of covert personal selling in relation to their product evaluation and salespersons' self-disclosure of the selling motive. Study 1 suggests that positive product evaluation can moderate the perceived deceptiveness of an overt selling attempt, but not that of its covert counterpart. Study 2 provides further evidence of consumer resistance against covert selling, even when the salespersons disclose their identities prior to consumers' purchase decisions. This research sheds further light on the compelling negative ramifications of tactical deception in covert marketing communications.     

The influence of anthropomorphic appearance of artificial intelligence products on consumer behavior and brand evaluation under different product types

While artificial intelligence products are widely used in the market, their anthropomorphic appearance design is becoming a frontier issue in product strategy and consumer behavior research. The aim of this study was to investigate the influence of anthropomorphic appearance on consumer behavior and brand evaluation under different AI product types. It was conducted in China, a new but rapidly-growing country in the field of Internet, AI technology and AI product consumption. This study conducted four situational experiments with a 2 (anthropomorphic design: anthropomorphic vs. non-anthropomorphic) × 2 (product type: hedonic vs. utilitarian) between subjects’ experimental design. Data was collected from 1172 Chinese “Digital Natives” by using a structured questionnaire. The findings revealed that for hedonic AI products, anthropomorphic appearance improves consumers' purchase intention and brand evaluation through perceived entertainment, and intelligence level significantly moderates the mediating effect of perceived entertainment; while for practical AI products, anthropomorphic appearance improves consumers' purchase intention and brand evaluation through perceived usefulness, and intelligence level does not significantly moderate the mediating effect of perceived usefulness. There is no significant moderating effect of intelligence level on perceived usefulness. The study contributes to development and validation of a more comprehensive understanding and theoretical foundation of anthropomorphism, and furthermore explores the impact of anthropomorphic appearance on consumer behavior and brand evaluation under different AI product types. This study also provides insights for companies to apply anthropomorphic strategies.     

The competing roles of variety seeking in new brand adoption

We examine how consumers' attribute-level variety-seeking behaviors can explain their propensity to adopt a new brand in the consumer packaged goods (CPG) market. We leverage consumers' purchase history among extant brands prior to a new brand introduction as an indicator of the new brand adoption upon its launch. We incorporate variety seeking at two product attribute levels – brand and flavor – and find that variety seeking along these two dimensions predicts different outcomes for new brand adoptions. The estimation results of our discrete-time hazard model show that consumers' brand-level and flavor-level variety-seeking behaviors affect their likelihood to adopt a new brand in different manners: consumers who purchase various brands are more likely to adopt a new brand, whereas those who choose various flavors are less likely to adopt a new brand. The results also show that the new brand's price promotions and in-store displays can affect the role of variety seeking in consumers' new brand adoption. We assess the robustness of our findings by replicating our empirical model with an additional measure of variety seeking as well as a variety-seeking measure in another product category.     

Influencers' “organic” persuasion through electronic word of mouth: A case of sincerity over brains and beauty

Despite the growing importance of influencers' word-of-mouth through audiovisual content, little is known about its effect on consumers' brand evaluation, purchase intentions, and decisions. Drawing on Ohanian's source credibility framework, we conducted two studies across different influencers, product categories, and respondents' gender and tested the hypotheses using covariance-based and partial least square structural equation modeling. Study 1 focuses on a mega-influencer of cosmetic and beauty brands and predominantly involves female respondents. The findings show that the influencer's attractiveness affects perceptions about source expertise and source trustworthiness but not brand attitude, while source expertise predicts source trustworthiness, and both mediate the effect of source attractiveness on brand attitude. In contrast, brand attitude predicts purchase intention and mediates the impact of source credibility dimensions. Study 2 focuses on various influencers of hedonic products (lifestyle, fashion, and beauty). The results confirm the influence of source attractiveness and expertise on source trustworthiness, which ultimately predicts consumer purchase decisions. This study reveals the interdependencies between different source constructs, contributing to source credibility theory. Furthermore, we show that the effect of source dimensions that are relevant in the celebrity endorsement literature, such as source attractiveness, do not directly influence consumers' intentions and decisions in the context of influencers' electronic word of mouth. Finally, the two studies confirm that only influencers perceived as honest and sincere can influence consumers' purchase decisions.     

Exploring the impact of chatbots on consumer sentiment and expectations in retail

Retailers are increasingly using conversational AI (chatbots) for customer service due to the perceived benefits and reduced operational costs of this emerging technology. Yet our understanding of how consumers perceive interactions with chatbots, and how these interactions may influence other consumer service programs, remains limited. This paper investigates the differences in consumers' sentiments towards chatbots across retail sectors, and the influence chatbots have on consumers’ sentiments and expectations towards other service interactions with online human agents. Using a hybrid automated sentiment analysis approach, we identify that (1) overall sentiment towards bots are less negative than sentiment towards online human agents; (2) these sentiments differ across fashion and telecommunications sectors, and finally (3) sentiments towards online human agents in both sectors become more negative after a retailer implements a chatbot.     

Revised CSI and Australian consumers: incorporating ‘innovation’ and ‘automobile purchases’

The first objective of this study was to identify Australian consumers' decision-making styles for automobile purchases. Second, adding an innovation consciousness scale to the original consumer styles inventory (CSI) to assess Australian consumers' car purchase behaviour. Based on a sample of 214 respondents from Australian automobile consumers, exploratory and confirmatory factor analysis was conducted on Sproles and Kendall's (1986) CSI adapted for automobile purchases. As such, the validity of the CSI in the context of high-involvement purchases was tested. The results found that only two factors, ‘brand’ and ‘habitual consciousness’, of the original model were retained and other factors such as ‘investigation process’, ‘information search’, ‘value within budget’ and ‘innovation consciousness’ factors were confirmed for automobile purchase decision-making styles. ‘Innovation consciousness’ was proven to be one of the most reliable and valuable scales for automobile purchase decision-making styles in relation to Australian consumers. The paper also discusses suitable marketing strategies for automobile consumers in Australia. The current research should prove valuable not only to academic researchers but also to automobile companies/managers. The findings will also provide insight into how automobile companies could position themselves with respect to their marketing strategies in Australia.     

An empirical examination of the effects of design elements of email newsletters on consumers’ email responses and their purchase

In this research, we empirically explore the effects of various design elements of email newsletters on consumers' email responses and their purchases. We capture the consumers' email responses using three metrics, namely email open, email click, and email reopen. We operationalize consumers' purchases as their spending on product items that are featured in email newsletters. Using a novel email marketing database, first, we model the influence of design elements of email newsletter on consumers' email responses at the individual consumer level. The email design elements constitute several email attributes, situational factors, and integrated marketing communication. Second, we quantify the effects of these three email responses, open, click, and reopen, on consumers' purchases. Our empirical results suggest a significant influence of email attributes, situational factors, and marketing communications on consumers' email responses. Furthermore, among open, click, and reopen, we find clicks tend to have the highest impact on consumers’ purchase, followed by email reopening and opening. However, email newsletters with higher opening probability are more effective in influencing purchases than those email newsletters with higher reopening probability. Furthermore, consumers who indulge in all three email responses, namely opening, clicking, and reopening, tend to purchase the most. Results from our study offer several critical insights for email marketing strategy helping managers improving the effectiveness of email campaigns by careful consideration for the design elements of email newsletters.     

What drives consumers to customize products? The mediating role of brand experience

Brands are increasingly seeking ways to engage consumers in deep and meaningful brand experiences. As technological advances have developed, brands have an increasing arsenal to draw on in creating brand experience. One increasingly common tactic is product customization, whereby consumers are provided the ability to create their own products from a set of options. With this study, we seek to understand the mediating role of brand experience in consumer decisions to customize products. Specifically, we investigate the interplay of non-brand drivers (those intrinsic to the consumer) and brand drivers (those extrinsic to the consumer) in the context of customization. In doing so, we develop an understanding of consumers' intention to use a customization toolkit and their subsequent intention to purchase customized products. We find brand experience drives intention to use a customization toolkit, mediating the relationship between individual factors and usage intentions. A customer's prior experience and their intention to use a customization toolkit are also direct drivers of customized product purchase intention.     

Consumers' reaction to fair trade motivated price increases

Consumer perception of price increases and their reactions are a topic of great relevance for marketing research and practice. We investigate consumers' acceptance of price increases justified by higher costs due to company's corporate socially responsible activities by conducting two experimental studies. In the first study we examine perceived fairness and intentions following a price increase justified by a fair trade commitment. To assess the green attitude–behavior gap in consumer behavior our second study incorporates a real world experiment to explore actual consumer behavior against stated intentions. Our investigation adds nuance to our understanding of the effects of corporate social responsibility on consumer response to price increases. Our results reveal that a price increase due to a fair trade commitment is perceived as fair and does not have a negative impact on purchase behavior. We contrast our findings with a price increase due to higher taxes and due to profit increase. Our results demonstrate that fair trade justified price increases can skim twice the amount compared to tax justified increases. Furthermore, consumers' actual buying behavior reveals no difference to their stated intentions. Hence, prior research proclaiming an attitude–behavior gap in the context of consumers' socially responsible buying behavior has to be called into question.     

Factors influencing consumers' purchase decision-making in O2O business model: Evidence from consumers' overall evaluation

Online-to-offline (O2O) has become a rapidly growing e-commerce model worldwide, but the factors influencing consumers' purchase decision-making have not been examined well. After exploring the working mechanism of the O2O model, we extract eleven indexes of consumers' overall evaluation in the O2O model with Crawlzilla and R techniques. Social network analysis (SNA) is adopted to build social networks reflecting consumers' overall evaluation in the O2O model. Based on the modified social network and the extracted subgraph, this study (N = 768) reveals consumers' overall evaluation behavior patterns in the O2O model by calculating network density, central potential, edge betweenness. The results show that shoppers overall evaluate the eleven indexes, especially perceived product quality, online product price, promotion intensity, business reputation, and product brand, which reflects the significant associations between the indexes. Among all the eleven evaluation indexes, perceived product quality, online product price, and business reputation dominate consumers’ decision-making behavior. When making purchase decisions, consumers not only overall consider online product price, perceived product quality, and business reputation but also balance perceived product quality, business reputation, and promotion intensity. Finally, we make some suggestions on marketing strategy for e-commerce companies.     

Icing on the cake or gilding the lily? The impact of high-modified model images on purchase intention

Marketers had high expectations for modified model images in E-commerce, however, the social movements against photoshopped models suggested the high-modified model images may be harmful to consumers which leads to a contradictory phenomenon. So far, the link between high-modified model image and consumers' behavior is not clearly understood. Drawing on a selective accessibility model (SAM), this study investigates the influence of high-modified model images on consumers' purchase intention by introducing the concept of misrepresentation and identifying consumer trust as a mediator. Based on five experiments, we demonstrate that over-modified model images decrease consumers’ perceived authenticity referring to “misrepresentation”, and further lower their purchase intention. By comparing the level of misrepresentation, the results suggest that high-modified model images decrease purchase intention. Moreover, this negative relationship between misrepresentation of modified model images and purchase intention is mediated by consumer trust. Hence, this study makes a step toward explaining how high-modified model images impacts the behaviors of consumers, shedding new light on the application of image modification in online advertising.     

Buying while expecting to sell: The economic psychology of online resale

Consumer online resale is becoming increasingly common for transactions of secondhand goods. However, when accompanied by a preconceived intention to resell a product after using it, the initial consumer purchasing decision for self-use is complicated by the estimated resale value of that good. We applied the principles of mental accounting to develop and evaluate a new concept that may influence consumer resale and purchase intention: external resale reference price (ERRP). The study examines how online consumer sellers' economic psychology of buying affected their expectation of future online resale outcome. The results indicate that (1) consumers' awareness of future online resale potential can influence their purchasing decisions; (2) ERRP, which is mediated by the estimated resale return, can increase purchase intention; and (3) the effects of ERRP on purchase intention are moderated by online resale likelihood, but are minimal when consumers are aware that resale possibility is extremely low.     

Understanding the drivers of organic foods purchasing of millennials: Evidence from Brazil and Spain

This paper examines the antecedents of millennials' organic food purchasing. A conceptual framework, based on product characteristics, and consumers' concerns and consciousness, is proposed. Data collection was conducted through a survey in two culturally and socioeconomically distinct countries (Brazil vs. Spain) to increase the robustness and generalizability of the results. The results show that product characteristics and consumer concerns improve millennials’ health consciousness and increase their social consciousness, which, in turn, increase their willingness to pay a price premium and their purchase frequency of organic foods. The findings show that the proposed model has high validity, with only one significant difference between the two countries. Theoretical contributions and managerial implications are discussed.     

Key influencing factors of green vegetable consumption in Beijing,China

Green-certified vegetables are nutritious, attractive to the senses, and in line with the principles of sustainable development. The objectives of this study are to reveal the mechanism of green-certified vegetable consumption; that is, to explore the key influencing factors behind consumers' purchase intentions, purchase behavior, and willingness to pay for green-certified vegetables. Based on the Theory of Multi-attribute Attitudes and the Theory of Planned Behavior, a research framework of the consumption mechanism oriented to consumers' preferences regarding green-certified vegetable quality was established. By collecting 520 questionnaires from Beijing, China, the model was confirmed by the ordered logistic regression and interval linear regression method. The results showed that consumers have heterogeneous quality preferences, and their purchase intentions and purchase behavior levels are relatively high, with an average willingness to pay (WTP) of 138.58%. The key influencing factors driving consumers' purchase intentions, purchase behavior, and WTP include protein content belief, mineral content belief, vitamin content belief, organic vegetable safety belief, freshness belief, and taste belief. In addition, color belief and packaging quality belief significantly influenced consumers' WTP, while origin reputation belief and brand reputation belief significantly influenced consumers' purchase intention and purchase behavior. The findings of this study can guide the supply side of green-certified vegetables to improve product quality according to consumer demand, so as to promote the sustainable development of green-certified vegetables.     

The effectiveness of number of deals purchased in influencing consumers' response to daily deal promotions: A cue utilization approach

This research proposes and empirically tests a theoretical model of consumers' response to online daily deal promotions. A unique feature of such promotions is their social influence, as they provide information about how many others have already purchased the offer. Integrating cue utilization and social influence theories, the model outlines how the social cue about the number of deals purchased by others influences consumers' deal evaluations and purchase intentions across a variety of conditions. The research findings indicate that the number of deals as an extrinsic cue affects consumers' deal evaluations and intentions only when intrinsic product and deal cues (good vs. service, discount size) and consumer personal characteristics (familiarity with the provider) are not present or are insufficient to infer deal attractiveness. The research offers managerial implications with respect to effectively designing and promoting online daily deals.     

Understanding consumers’ decisions to adopt technology-enabled transformative services

This study extends understanding of consumers' decisions to adopt transformative services delivered via technology. It incorporates competitive effects into the model of goal-directed behavior which, in keeping with the majority of consumer decision making models, neglects to explicitly account for competition. A goal-level operationalization of competition, incorporating both direct and indirect competition, is proposed. A national web-based survey collected data from 431 respondents about their decisions to adopt mental health services delivered via mobile phone. The findings show that the extent to which consumers perceived using these transformative services to be more instrumental to achieving their goals than competition had the greatest impact on their adoption decisions. This finding builds on the limited empirical evidence for the inclusion of competitive effects to more fully explain consumers' decisions to adopt technology-based and other services. It also provides support for a broader operationalization of competition with respect to consumers' personal goals.     

The right to be heard and to be understood: a conceptual framework for consumer protection in emerging economies

In many emerging economies and developing countries, comprising consumers from different cultures and with varying degrees of sophistication (knowledge and skill) concerning consumer protection, the promotion of consumers' rights to develop a consumer‐oriented culture remains a very big challenge. One way of protecting the consumer, especially the consumer that has not been fully socialized to execute informed decisions when purchasing expensive durables, is by establishing a redress environment that would ensure fair redress as well as an understanding and appreciation of the consumer. Manufacturers and retailers are often not aware of the performance failures that consumers experience concerning their products because many people do not communicate their dissatisfactions to them. However, unless and until manufacturers and retailers fully comprehend their customers' complaint behaviour, their reasons for engaging in specific complaint behaviour and the reasoning (cognitive processes) and emotional processes behind their behaviour, they will not recognize the link between complaint handling and customer loyalty and profits. The purpose of this paper was to develop a theoretical conceptual framework that would enable consumer scientists, consumer consultants, consumer behaviour researchers and those with the responsibility of handling consumer complaints to explore and understand consumer complaint behaviour in its entirety. We argue that, to be able to establish and manage a redress environment that is characterized by an understanding of the specific consumer as well as by effective complaint behaviour handling, it is of the utmost importance that the manufacturer, retailer, consumer consultant and all those that work with consumers' complaints understand the entire complaint process, including the underlying cognitive and emotional processes as well as the consumer's post‐complaint perception of justice and his/her satisfaction with the complaint handling. It is also important to understand the role that consumer‐, product‐ and redress environment‐related variables play in consumer complaint behaviour. The consumer who blames the retailer for the problem and who probably feels angry about the situation and decides to complain will expect redress. From a consumer's viewpoint, complaint‐related justice is, however, not only a matter of economic calculus but also a matter of procedure and interaction. We therefore argue for a holistic approach where consumer complaint behaviour is addressed in its entirety. Practical suggestions that could enhance customer satisfaction are given for manufacturers, retailers and those who deal with consumers' complaints.