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Advanced Search Results For "CONSUMERS' reviews"

1 - 10 of 7,210 results for
 "CONSUMERS' reviews"
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Explainable neural network-based approach to Kano categorisation of product features from online reviews.

Publication Type: Academic Journal

Source(s): International Journal of Production Research. Dec2022, Vol. 60 Issue 23, p7053-7073. 21p. 4 Diagrams, 7 Charts, 3 Graphs.

Abstract: The Kano model is an extensively used technique for understanding different types of customer preferences. It classifies product features based on the effects of their performance on the overall customer satisfaction. Compared to surveys, numerous onli...

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The Upside of Negative: Social Distance in Online Reviews of Identity-Relevant Brands.

Publication Type: Academic Journal

Source(s): Journal of Marketing. Nov2022, Vol. 86 Issue 6, p70-92. 23p. 1 Diagram, 2 Charts, 4 Graphs.

Abstract: Conventional wisdom in marketing emphasizes the detrimental effects of negative online reviews for brands. An important question is whether some firms could more effectively manage negative reviews to increase brand preference and improve outcomes. To ...

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Mining online reviews with a Kansei-integrated Kano model for innovative product design.

Publication Type: Academic Journal

Source(s): International Journal of Production Research. Nov2022, Vol. 60 Issue 22, p6708-6727. 20p. 4 Diagrams, 11 Charts, 2 Graphs.

Abstract: Optimising affective design based on customer needs help to earn competitive advantages. However, affective design has been studied qualitatively and the value of online opinions providing affective design ideas has not been exploited deeply. To fill t...

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Offline Context Affects Online Reviews: The Effect of Post-Consumption Weather.

Publication Type: Academic Journal

Source(s): Journal of Consumer Research. Dec2022, Vol. 49 Issue 4, p595-615. 21p. 6 Charts, 1 Map.

Abstract: This empirical study investigates whether unpleasant weather—a prominent aspect of a consumer's offline environment—influences online review provision and content. It uses a unique dataset that combines 12 years of data on hotel bookings and reviews, w...

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A textual data-driven method to identify and prioritise user preferences based on regret/rejoicing perception for smart and connected products.

Publication Type: Academic Journal

Source(s): International Journal of Production Research. Jul2022, Vol. 60 Issue 13, p4176-4196. 21p. 2 Diagrams, 12 Charts, 1 Graph.

Abstract: The rapid development of information technologies yields a promising market for information densely products, i.e. smart, connected products (SCPs) and also alters the way of user-designer interaction in the product design and development. Online revie...

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COMPETING WITH THE SHARING ECONOMY: INCUMBENTS' REACTION ON REVIEW MANIPULATION.

Publication Type: Academic Journal

Source(s): MIS Quarterly. Sep2022, Vol. 46 Issue 3, p1573-1602. 30p. 2 Diagrams, 14 Charts, 3 Graphs.

Abstract: The emergence of the sharing economy has provided the market with an untapped wealth of supplies, posing a threat to incumbents. In response to competition from the sharing economy, incumbents must adjust their competitive strategies. In this paper, we...

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ONLINE REVIEWS AND INFORMATION OVERLOAD: THE ROLE OF SELECTIVE, PARSIMONIOUS, AND CONCORDANT TOP REVIEWS.

Publication Type: Academic Journal

Source(s): MIS Quarterly. Sep2022, Vol. 46 Issue 3, p1517-1550. 34p. 2 Color Photographs, 2 Diagrams, 14 Charts, 2 Graphs.

Abstract: By empowering customers to make fitting purchases, user reviews play an important role in reducing inefficiencies in the provisioning of product information. Because of the abundance of reviews and the signals they provide, this information may become ...

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Market Segmentation of Online Reviews: A Network Analysis Approach.

Publication Type: Academic Journal

Source(s): International Journal of Market Research. Sep2022, Vol. 64 Issue 5, p652-671. 20p. 2 Diagrams, 6 Charts, 3 Graphs.

Authors:

Abstract: With the popularity of online reviews, brand managers have opportunities to segment their markets according to the reviews of their products or services by customers. Nonetheless, it has been suggested that traditional market segmentation methods are i...

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Extremity Bias in Online Reviews: The Role of Attrition.

Publication Type: Academic Journal

Source(s): Journal of Marketing Research (JMR). Aug2022, Vol. 59 Issue 4, p675-695. 21p. 7 Charts, 1 Graph.

Abstract: In a range of studies across platforms, researchers have shown that online ratings are characterized by distributions with disproportionately heavy tails. The authors of this study focus on understanding the underlying process that yields such "J-shape...

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Differential Effects of Device Modalities and Exposure to Online Reviews on Online Purchasing: A Field Study.

Publication Type: Academic Journal

Source(s): Journal of Advertising. Aug/Sep2022, Vol. 51 Issue 4, p430-439. 10p. 1 Chart, 1 Graph.

Abstract: We model the effect of online information search across mobile (smartphone and tablet) and nonmobile (personal computer [PC], both desktop and laptop) platforms on frequency of purchasing per online shopping session. Using clickstream data from a multi...

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