Search results

The paper aims to clarify the influence of different picture contents on consumer's willingness to click pictures when shopping for agricultural products online and examine the intermediary mechanism and boundary conditions of the impact.

The paper opted for an empirical study based on the cue utilization theory and information processing theory, including three experiments to test the existence, intermediary mechanism and boundary conditions of the impact of online picture contents of agricultural products on consumers' clicking intention.

The paper provides empirical insights about the influence of picture contents on consumer's willingness to click when shopping for agricultural products online. The picture of product's production environment or grower on the search result page can effectively improve consumer's willingness to click the product under dual systemic information processing modes. Compared with product pictures, pictures displaying products and production environment can stimulate more cognitive system processing, and pictures displaying products and its growers can stimulate more emotional system processing, both resulting in higher click intention. However, the above effects only exist in the context of non-branded agricultural products.

The research results not only provide practical guidance for merchants, but also fill the gap in the research on the impact of picture contents on consumers in the field of agricultural products in online marketing.

The paper aims to clarify the influence of different picture contents on consumer's willingness to click pictures when shopping for agricultural products online and examine the intermediary mechanism and boundary conditions of the impact.

The paper opted for an empirical study based on the cue utilization theory and information processing theory, including 3 experiments to test the existence, intermediary mechanism and boundary conditions of the impact of online picture contents of agricultural products on consumers' clicking intention.

The paper provides empirical insights about the influence of picture contents on consumer's willingness to click when shopping for agricultural products online. The picture of product's production environment or grower on the search result page can effectively improve consumer's willingness to click the product under dual-systemic information processing modes. Compared with product pictures, pictures displaying products and production environment can stimulate more cognitive system processing, and pictures displaying products and its growers can stimulate more emotional system processing, both resulting in higher click intention. However, the above effects only exist in the context of non-branded agricultural products.

The research results can not only provide practical guidance for merchants, but also fill the gap in the research on the impact of picture contents on consumers in the field of agricultural products in online marketing.

Despite the importance of online word-of-mouth (WOM) communication to senders, receivers and concerned companies alike, a surprisingly limited amount of research exists on the impacts of online WOM participation on the senders themselves. Motivated by an attempt to fill this significant gap in the literature, this paper aims to investigate the sender outcomes of online WOM participation.

The authors draw on insights from focus group studies and psychological theories of emotions, catharsis and regret and the signaling theory to develop a conceptual model linking the drivers and content characteristics of online WOM participation and sender outcomes.

The findings show that sender outcomes from online WOM transmission differ by the types of drivers stimulating the online sharing activity and the level of exaggeration in the senders’ self-generated contents. Specifically, online WOM triggered by emotions leads to catharsis and emotional homeostasis among the senders, while that stimulated by motivational drivers such as altruism, reciprocity, self-enhancement and belongingness leads to sender happiness. Exaggeration in self-generated WOM contents by the senders, in turn, leads to delayed outcomes of sender regret and reduced sender trust in general online WOM contents.

The most important contribution to online WOM research lies in the study of the outcomes of WOM transmission from a sender’s point of view. By drawing on our exploratory findings and psychological theories of emotions, catharsis and regret and the signaling theory, the authors develop a conceptual model linking the drivers and the exaggeration nature of online WOM participation and sender outcomes.

Managers should realize that the most fundamental way of ensuring positive consumption experiences is to listen to customer voices, including even the most negative of feedback shared privately or publicly, and use that information to improve essential customer experience aspects. The finding on the effects of online WOM exaggerations on sender regret suggests that companies and consumers alike should work on ensuring producing more accurate and complete online customer reviews. The finding on the negative effect of online WOM exaggerations on sender trust raises an important question on the meaning of high quality reviews from the company’s perspective. To pursue high quality reviews, merchants should not only aim at receiving the highest possible numeric ratings but also encourage most truthful accounts of purchase and usage experiences. In turn, online platforms such as Amazon should also factor the quality of online ratings more effectively into their product recommendation algorithms.

In further consideration of consumer welfare implications, online WOM transmissions should be more recognized as a tool for allowing consumers to cleanse their emotions associated with marketing stimuli.

Overall, the qualitative study and proposed conceptual model contribute to a more thorough and deeper understanding of individual-level sender outcomes of online WOM participation.

The purpose of this paper is to propose a similarity-based approach to accurately retrieve reference solutions for the intelligent handling of online complaints.

This approach uses a case-based reasoning framework and firstly formalizes existing online complaints and their solutions, new online complaints, and complaint products, problems and content as source cases, target cases and distinctive features of each case, respectively. Then the process of using existing word-level, sense-level and text-level measures to assess the similarities between complaint products, problems and contents is explained. Based on these similarities, a measure with high accuracy in assessing the overall similarity between cases is designed. The effectiveness of the approach is evaluated by numerical and empirical experiments.

The evaluation results show that a measure simultaneously considering the features of similarity at word, sense and text levels can obtain higher accuracy than those measures that consider only one level feature of similarity; and that the designed measure is more accurate than all of its linear combinations.

The approach offers a feasible way to reduce manual intervention in online complaint handling. Complaint products, problems and content should be synthetically considered when handling an online complaint. The designed procedure of the measure with high accuracy can be applied in other applications that consider multiple similarity features or linguistic levels.

A method for linearly combining the similarities at all linguistic levels to accurately assess the overall similarities between online complaint cases is presented. This method is experimentally verified to be helpful to improve the accuracy of online complaint case retrieval. This is the first study that considers the accuracy of the similarity measures for online complaint case retrieval.

Critical thinking is considered important in psychological science because it enables students to make effective decisions and optimizes their performance. Aiming at the challenges and issues of understanding the student's critical thinking, the objective of this study is to analyze online discussion data through an advanced multi-feature fusion modeling (MFFM) approach for automatically and accurately understanding the student's critical thinking levels.

An advanced MFFM approach is proposed in this study. Specifically, with considering the time-series characteristic and the high correlations between adjacent words in discussion contents, the long short-term memory–convolutional neural network (LSTM-CNN) architecture is proposed to extract deep semantic features, and then these semantic features are combined with linguistic and psychological knowledge generated by the LIWC2015 tool as the inputs of full-connected layers to automatically and accurately predict students' critical thinking levels that are hidden in online discussion data.

A series of experiments with 94 students' 7,691 posts were conducted to verify the effectiveness of the proposed approach. The experimental results show that the proposed MFFM approach that combines two types of textual features outperforms baseline methods, and the semantic-based padding can further improve the prediction performance of MFFM. It can achieve 0.8205 overall accuracy and 0.6172 F1 score for the “high” category on the validation dataset. Furthermore, it is found that the semantic features extracted by LSTM-CNN are more powerful for identifying self-introduction or off-topic discussions, while the linguistic, as well as psychological features, can better distinguish the discussion posts with the highest critical thinking level.

With the support of the proposed MFFM approach, online teachers can conveniently and effectively understand the interaction quality of online discussions, which can support instructional decision-making to better promote the student's knowledge construction process and improve learning performance.

This paper aims to bridge the gap by understanding the context of ageing consumer behaviour in the online community. Specifically, this research seeks to identify which content typologies are critical to generating high engagement levels and, consequently, online brand advocacy and to understand the underlying motivation behind consumer online engagement.

A netnographic approach was used to comprehensively analyse older consumers’ online communities on Facebook, namely, “Silversurfers”. A total of 3,991 posts were included in the study and analysed using a content analysis approach over two years, from 2020 to 2022.

Results revealed that photography is the most active media type among older consumers. This study extends the literature on content marketing, identifying 17 new content types that reflect the four motivation states of older consumers to engage with the online community: cognitive/informative oriented, affective/emotional oriented, co-creation/interactive oriented and nostalgic oriented. Moreover, this investigation stressed affective/emotional oriented and nostalgic oriented as the primary motivations for higher engagement levels.

The older population is growing, which makes the ageing market potentially huge. However, more literature needs to address it, especially in online communities. Finally, to the best of the authors’ knowledge, this study develops an original content typology framework in which firms can consider implementing effective content typology strategies for the older consumer segment.

The importance of online reviews on online hotel booking has been widely acknowledged. However, not all online reviews affect consumers equally. Compared with common online reviews, key online reviews (KORs) have a greater influence on consumers' decisions and online hotel booking. This study takes the first step to investigate the factors affecting the identification of KORs and the role of KORs in online hotel booking.

To test the research hypotheses, this study develops a crawler to obtain 551,600 online reviews of 650 hotels in ten representative large cities in China. This study first uses a binary logistic regression to identify KORs by combining review content quality and reviewer characteristics and then uses a log-regression model to investigate the role of KORs in online hotel booking.

This study mined the factors affecting the identification of KORs by analyzing review contents and reviewer characteristics. Our results revealed that KORs play a mediating role in the effects of review content and reviewer characteristics on online hotel booking.

This study focuses on KORs, which have received limited attention in research but are important to practitioners. Specifically, this study investigates the antecedents and consequences of KORs. Our results enable hotel managers to manage online reviews effectively, particularly KORs.

The ongoing impact of COVID-19 and the subsequent perception of threat have shifted consumer perceptions and evaluations of service experiences. This paper aims to investigate how customers’ service evaluation is shared as customer reviews following the pandemic and the heightened perception of threat. In doing so, this research particularly investigates the shifts in the textual contents of online reviews.

This study used the textual contents in the online reviews posted on Hotels.com for 1,497 hotels in New York City for empirical analysis. In total, 109,190 observations were used for the analysis.

By analyzing actual online review data from an online review platform for hotel services, this study finds that the text reviews generated after the pandemic outbreak tend to contain words with stronger negative emotions. In terms of the pronoun choice, this study further finds that the use of “I” increases while the use of “we” decreases.

This research adds to the existing literature on service evaluation and online customer reviews by showing that there are shifts in the expressions used to communicate service evaluation through online text reviews, including the degree of emotionality and pronoun usage. Because potential customers are likely to rely on online reviews for their own decisions, the findings suggest that it is important for practitioners to be aware of such shifts and respond accordingly.

In view of the influences of online videos on the cultural tourism industry, this study aims to explore the mechanisms triggered by watching online video behaviors of fans. This study examines how fans who have watched celebrities’ online videos become tourists who attend concerts held at destinations based on celebrity and destination endorsements.

This study builds for celebrity and destination endorsements on online videos by combining media richness and source model theory. This research adopts partial least squares structural equation modeling to analyze the mechanism triggered by online media.

Watching online media influences celebrity and destination endorsements, which, in turn, affects the concert experience and intention to return to the destination. Results reveal less intertwined relationships between celebrity and destination endorsements and the complex mechanisms between the two endorsements.

With the rise in popularity of online media, online content has become a major source of information in the tourism industry and a means of enjoying travel seamlessly. This study highlights not only the role of “watching online videos” as one of the richest media but also the role of live concerts in cultural tourism for understanding complex cultural tourism.

为了探讨在线视频对文化旅游业的影响, 本研究探讨了观看在线视频所触发旅游行为的机制。本研究考察了在名人和景区的宣传下, 观看名人在线视频的粉丝如何成为参加目的地举办的演唱会的旅游者。

基于媒体丰富度和来源模型理论, 本研究调查了名人与景区的宣传视频。本研究采用partial least squares（PLS）结构方程建模来分析在线媒体所引发的机制。

观看在线媒体影响了名人和目的地宣传效应, 进而影响了演唱会的体验和到访目的地的意愿。研究结果揭示了名人和目的地宣传之间的关系并不紧密, 这两种宣传之间存在着复杂的机制。

随着在线媒体的普及, 在线内容已成为旅游业中信息的主要来源和享受旅游的手段。本研究不仅突出了“观看在线视频”作为最丰富的媒体之一的作用, 也突出了演唱会在文化旅游中的功能, 以更全面地理解复杂的文化旅游。

It is important to design accessible destinations for disabled tourists. However, to attract this market segment, it is also important to efficiently communicate online the accessibility provided. This paper aims to analyse the online communication of physical accessibility conditions designed for disabled tourists, to discuss the existence or non-existence of a design–communication gap in tourist destinations.

The authors analysed the physical accessibility of a selection of touristic spots in Porto, Portugal. The online communication regarding the physical accessibility of these spots’ informative websites was also analysed. Subsequently, a content analysis of these same websites was conducted to ascertain whether accessibility conditions for disabled tourists are disclosed in line with the physical and online facilities observed.

The destination websites’ online contents targeting disabled tourists are generic and do not inform about all the accessible facilities provided by the touristic spots analysed.

The authors found a gap between the accessible destination design and its communication in destination websites. This situation creates a barrier for people with physical disabilities and it is particularly concerning, considering that this market segment seeks for information in online sources to plan trips and does not find on the internet all the information about the accessible facilities provided. This fact may hinder the positioning of destinations as inclusive places and impair accessible tourism competitiveness. A better online communication of the accessible destination design is recommended.

为残疾游客设计出无障碍旅游地是非常重要的。然而, 为了吸引这部分游客市场, 有效地在线宣传提供的无障碍条件也是非常重要的。本论文分析为残疾游客提供的无障碍设施的在线宣传, 以讨论旅游地是否存在设计-宣传差异。

本论文分析了葡萄牙波尔图城市游客景点的无障碍设施。本论文还分析了这些景点网站对于无障碍设施的描述。本论文采用文本分析方法, 对这些网站内容进行分析, 验证是否为残疾游客提供的无障碍设施如网上宣传介绍一直。

研究结果表明, 景点网站针对残疾游客的内容太过笼统, 并没有介绍景区提供的全部无障碍设施。

本论文展示了无障碍旅游地设计与其网站宣传之间的差异。这将对残疾人造成障碍, 尤其是那些通过在线信息来确立旅游计划的游客, 他们无法在网络上找到全部关于提供的无障碍设施的信息。这将阻碍景点定位为全包容性旅游目的地, 影响其无障碍旅游竞争力。本论文推荐无障碍景点设计应该有一个更好的在线宣传。