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![]() We expect that it is only by examining all three of these aspects that their effect on the COR can be studied. However, most prior research has only focused on two aspects: the message and the source, ignoring the reader’s perspective. Zhang, Ye state that online reviews have a greater impact on the attitudes of consumers, compared to other types of information sources, such as recommendations from professional editors.ĭual-process theories and informational influence literature suggest that attributes related to the (i) message (textual content), (ii) source (writer), and (iii) receiver (reader) change a message’s effect. ![]() In the same vein, Chong, Khong find that consumers are willing to adopt information from online reviews and this information has a significant impact on their planning and decisions. For instance, Filieri, McLeay suggest that online review information has a positive effect on consumers’ purchase intention. Prior studies indicate that prospective consumers consider online reviews to make an assessment of products, services, and target stores. Currently, consumers may have access to this information almost everywhere at any time on the internet, such as e-commerce platforms, blogs, online stores, shopping forums, and so on. It also enables both consumers and businesses to take advantage of mass collaboration and open-source technology (i.e., Wikinomics) to make better decisions in their daily life. Web 2.0 has provided tremendous opportunities for users to share their opinions and purchasing experiences in the form of online reviews. Besides, it helps e-commerce platforms to customize online reviews for each reader to satisfy their information need and help them to make a better purchasing decision. Our study contributes to information processing literature, especially in the context of online reviews, and suggests a better classification of the attributes related to online reviews using the HSM. ![]() In addition, homophily between the reader and the source also moderates the relationship between review credibility and its source. The results show that reader’s involvement moderates source credibility, internal consistency, review objectivity, and review sidedness on review credibility. To test our hypotheses, we performed a user study on the Amazon Mechanical Turk platform. May 17–19.Drawing upon the heuristic–systematic model (HSM) and considering the readers’ perspective, this study predicts that readers’ involvement and homophily between the reader and the review author (source) moderate the relationships between the credibility perception of online reviews and its antecedent factors. So – after mobile first and AI first – how about people first? Follow the debate. It will challenge skills, methods, and tools. And it will address the role of design in that process. TYPO 2018 will explore the mechanisms of the digital transformation. A trigger is a key stimulus, a filter, and an impulse. It can trigger a personal recommendation or automated purchasing suggestion. It can come with deception (fake news) and with revelations (fact checking). Triggering is everywhere, whether driven by human or artificial intelligence. But some consumers have already begun covering their digital tracks. Do we really want one? The transparent consumer has long since become a reality. ![]() It will be about big data and personal data. TYPO Berlin will be about the practise of change, about scenarios, about heroes and evaluation. But what are the requirements for that shift? How do we set it in motion, how do we measure it? What are its consequences? Trigger! Almost every industry is talking about change, transformation, disruption, and radical shifts. Debates about digitisation have reached a fever pitch.
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