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The purpose of this paper is to develop a methodology based on TODIM (an acronym in Portuguese for interactive and multicriteria decision-making) approach for the selection of the best alternative in the context of multi criteria group decision-making (MCGDM) problems under possibilistic uncertainty in interval-valued Pythagorean fuzzy (IVPF) environment.

In this paper, IVPF-TODIM method is proposed. Some new point operator-based similarity measures (POSMs) for IVPF sets (IVPFSs) are introduced which have the capability to reduce the degree of uncertainty of the elements in the universe of discourse corresponding to IVPFS. Then the newly defined POSMs are used to compute the measure of relative dominance of each alternative over other alternatives in the IVPF-TODIM context. Finally, generalized mean aggregation operator is used to find the best alternative.

As the TODIM method is used to solve the MCGDM problems under uncertainty, POSMs are developed by using three parameters which can control the effect of decision-makers’ psychological perception under risk.

The decision values are used in IVPF numbers (IVPFNs) format.

The proposed method is capable to solve real-life MCGDM problems with not only IVPFNs format but also with interval-valued intuitionistic fuzzy numbers.

As per authors’ concern, no approach using TODIM with IVPFNs is found in literature to solve MCGDM problems under uncertainty. The final judgment values of alternatives using the extended TODIM methodology are highly corroborate in compare to the results of existing methods, which proves its great potentiality in solving MCGDM problems under risk.

The purpose of this study is to find the role of online informediaries on the perspective of price comparison and information aggregator. Specifically, the author wants to explain how the level of product involvement moderates the effect of price dispersion and product information quality on attitude toward product in online informediaries.

The data for this study are obtained from a three‐way factorial experimental research design. Data were collected from 258 college students who have an experience with an online informediary. Combining ANCOVA and regression analysis enables the study of attitude formation and yields encouraging results.

The study finds that high‐involvement consumers focus on systematic cues (e.g. product attributes) in evaluating product quality. However, when they feel that their initial search yields insufficient results, causing them to perceive more product performance risk, they search for additional cues (e.g. price dispersion). Low‐involvement consumers are mainly affected by price dispersion, which is a heuristic cue, and they evaluate the product more favorably under a high (vs low) level of price dispersion.

This paper is one of the first to consider and empirically test a heuristic‐systematic model for attitude toward product in online informediaries. It also uniquely tests the level of price dispersion to discern the important motivating factors.

This empirical study uses the stimulus-organism-response (S-O-R) framework to examine the interrelationships amongst hotel websites and app quality, flow, telepresence, user engagement and booking intentions.

Data from two different datasets, including users of hotel websites (N sample 1 = 257) and hotel mobile apps (N sample 2 = 292), were collected. Partial least squares (PLS-SEM) was used to test the research model.

Findings indicate that the quality of the hotel websites and mobile apps positively influences telepresence, flow and engagement. Telepresence and flow positively affect the users booking intentions for both the samples. However, for hotel website users, engagement has a no-significant effect on booking intentions. Finally, telepresence has a non-significant effect on flow, and flow has a non-significant effect on engagement for both the users of hotel websites and mobile apps.

This study uses two datasets to understand how hotel booking channel (hotel website and mobile app) quality leads to booking intentions by tapping into telepresence, flow and engagement.

The purpose of this paper is to contribute to a better understanding of web-surfers’ conative reactions to websites’ dominant hue by taking into account mental imagery’s role.

A conceptual model considering mental imagery as a mediator of web-surfers conative reactions to websites’ dominant hue was tested. It also supposes that mental imagery promoted by websites’ dominant hue is moderated by web-surfers’ involvement towards the product sold. To validate this model, an online experiment was conducted with a sample of 400 web-surfers.

Results reflect the importance of “vividness/clarity” and “valence” dimensions of mental imagery. In fact, hues congruent with the website’s content seem to be more able to generate vivid and positive mental images which affect positively web-surfers’ conative reactions. However, this relationship is reversed when web-surfers are strongly involved with the product sold.

Although this study focused on a particular product category, the obtained results can help the research community to understand better conative reactions of web-surfers to websites’ dominant hue through the consideration of mental imagery’s role.

Findings can help managers to better the performance of their commercial websites through the choice of the adequate background hue.

This study highlights the importance of mental imagery prompted by dominant website’s hue taking into account its congruence degree with the website’s content. It provides empirical evidence about its mediating role.

Following the growing adoption of social media, many entrepreneurs are launching personal social media channels. This study focuses on the effect of entrepreneurs' shared information on We Media platforms on the value relevance of their earnings.

Using entrepreneurs' We Media data collected from A-share-listed companies on the Shanghai and Shenzhen Stock Exchanges from 2010 to 2018, this study investigates the effect of the data on the value relevance of earnings using the modified Ohlson model. The authors applied textual analysis to retrieve entrepreneurial We Media data acquired manually from Weibo.

We Media platforms can increase the value relevance of earnings. Entrepreneurs can enhance investor trust by establishing social ties with investors. Investors are more likely to recognize earnings information publicized by enterprises, owing to internal consistency. Particularly, value relevance improves significantly with more personal information being posted and more “likes” being acquired on entrepreneurs' We Media accounts. This positive effect is more obvious in privately owned and highly marketized regions.

The findings extend the research on the economic consequences of We Media as an important information channel, enrich the research on the social media posting behavior of entrepreneurs and provide a reference for enterprises to instill trust using new information disclosure methods and for governments to establish a safe internet environment to promote the sustainable development of the capital market.

This study aims to explore the nature of electronic word-of-mouth (eWOM) and the key drivers of this consumer-generated brand communication, focusing on eWOM in the context of social media communications.

The study uses inductive qualitative design, and the data have been collected via 22 semi-structured interviews with individuals who follow brands on Facebook.

Building on interview data, the paper advances a conception of eWOM in the social media context and highlights that eWOM consists of a broad range of brand-related communications, which include such activities as consuming, commenting, posting and forwarding information. The study also uncovers two major antecedents of eWOM, which are one’s concern for self-presentation and privacy.

Further research could examine additional drivers of brand-related eWOM in the context of Facebook brand pages, and investigate eWOM in other social media platforms.

The findings have two important implications for brand management. Firstly, considering the importance of self-presentation, brands are advised to develop an in-depth understanding of the types of self-image pursued by their target audience. Secondly, given the concerns about privacy on social media, brands may carefully consider and manage the levels of privacy that should apply when communicating with their followers.

The novel insights centre on the individual differences in eWOM activity, and the importance of one’s perceptions of self-image and privacy in explaining these differences. It seems that the propensity to engage in eWOM and the form that this communication takes are the reflections of one’s self-presentation and privacy preferences.