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1 – 6 of 6Mengyang Gao, Jun Wang and Ou Liu
Given the critical role of user-generated content (UGC) in e-commerce, exploring various aspects of UGC can aid in understanding user purchase intention and commodity…
Abstract
Purpose
Given the critical role of user-generated content (UGC) in e-commerce, exploring various aspects of UGC can aid in understanding user purchase intention and commodity recommendation. Therefore, this study investigates the impact of UGC on purchase decisions and proposes new recommendation models based on sentiment analysis, which are verified in Douban, one of the most popular UGC websites in China.
Design/methodology/approach
After verifying the relationship between various factors and product sales, this study proposes two models, collaborative filtering recommendation model based on sentiment (SCF) and hidden factors topics recommendation model based on sentiment (SHFT), by combining traditional collaborative filtering model (CF) and hidden factors topics model (HFT) with sentiment analysis.
Findings
The results indicate that sentiment significantly influences purchase intention. Furthermore, the proposed sentiment-based recommendation models outperform traditional CF and HFT in terms of mean absolute error (MAE) and root mean square error (RMSE). Moreover, the two models yield different outcomes for various product categories, providing actionable insights for organizers to implement more precise recommendation strategies.
Practical implications
The findings of this study advocate the incorporation of UGC sentimental factors into websites to heighten recommendation accuracy. Additionally, different recommendation strategies can be employed for different products types.
Originality/value
This study introduces a novel perspective to the recommendation algorithm field. It not only validates the impact of UGC sentiment on purchase intention but also evaluates the proposed models with real-world data. The study provides valuable insights for managerial decision-making aimed at enhancing recommendation systems.
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Xiaoxiao Qi, Wen Chang, Anyu Liu, Jie Sun and Mengyu Fan
Wine producers and marketing professionals increasingly recognize the significance of online wine reviews. Emotions have long been acknowledged as influential in online review…
Abstract
Purpose
Wine producers and marketing professionals increasingly recognize the significance of online wine reviews. Emotions have long been acknowledged as influential in online review behaviors. However, considering the multisensory nature of the wine experience, consumers’ wine expertise also plays a substantial role. Hence, this study aims to examine the online review behaviors exhibited by wine consumers through the dual lens of wine expertise and emotionality.
Design/methodology/approach
Two studies were conducted to address the research question. Study 1 explored the relationship among expertise, emotionality and review behaviors using a panel data model, with a data set consisting of 4,600,922 reviews from Vivino.com. Study 2 used a multigroup structural equation modeling (SEM) analysis using data obtained from an online survey. Study 2 aimed to investigate the interactive impact of emotionality and expertise on online review intention mediated by customer engagement.
Findings
The findings from Study 1 demonstrated a positive correlation between emotionality and online wine reviews. In addition, expertise displayed a bell-shaped relationship with both emotionality and online wine reviews. Study 2, in turn, uncovered that novices and experts experienced a direct influence of emotionality on their review intentions. In contrast, for those classified as ordinary, the influence of emotionality on review intention occurred indirectly through the mediation of customer engagement.
Originality/value
This paper extends the current literature on online wine review by integrating the effect of emotion and expertise on online wine review behaviors, expanding the examination of Dunning–Kruger effect in the wine literature. It also adds value by introducing emotionality and the Evaluative Lexicon into the hospitality literature, extending the measurement of emotion from valence and extremity to a third dimension, emotionality, in hospitality and wine domains.
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Pin Luarn, Chiao-Chieh Chen and Yu-Ping Chiu
Social media has emerged as a prominent platform for marketers and brands to disseminate brand-related information. This study aims to investigate the impact of color congruence…
Abstract
Purpose
Social media has emerged as a prominent platform for marketers and brands to disseminate brand-related information. This study aims to investigate the impact of color congruence between themes and background on marketing effectiveness, focusing specifically on Instagram.
Design/methodology/approach
A laboratory experiment was conducted to investigate how color congruence between themes and background in brand posts influences flow and aesthetic experience, subsequently affecting marketing communication parameters such as brand attitude, visit intention, and eWOM on Instagram. Moreover, Adidas Originals was selected as the focal brand, and blue and white color was chosen as the primary color palette for the experimental material.
Findings
This study demonstrates that color congruence, regardless of brand layout or post, significantly influences flow and aesthetic experience, subsequently affecting marketing effectiveness.
Originality/value
This study contributes to the theoretical understanding of congruence theory and social media marketing, providing valuable insights for brands to enhance their communication through photographs and effectively manage their official Instagram accounts.
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Vânia Maria Jorge Nassif and Márcia Maria Garçon
This paper aims to understand resilience in entrepreneurial behavior and the major adversities faced by women entrepreneurs and identify theoretical and empirical bases that…
Abstract
Purpose
This paper aims to understand resilience in entrepreneurial behavior and the major adversities faced by women entrepreneurs and identify theoretical and empirical bases that support the use of the integrative approach as appropriate to studies of resilience in women entrepreneurs.
Design/methodology/approach
In this exploratory-theoretical study, the authors adopted a narrative review of the literature on Female Entrepreneurship, Business and Resilience. The databases researched were: Web of Science, Social Citation Index and Scopus, of which 52 were submitted to analysis through techniques of comparison and contrast between theory, classical studies and applied research.
Findings
The study illuminates the concept of resilience aligned with entrepreneurship and the major adversities of female entrepreneurship. It also indicates the competence of the integrative approach in investigating and analyzing resilience as a complex, functional and emotional phenomenon between women entrepreneurs and their business environment.
Research limitations/implications
This study indicates that the integrative approach can offer an explanatory device about the relationships between affectivity and cognition in the resilient behavior of women when encountering difficulties in the entrepreneurial process. It also indicates paths for future research that can empirically prove the degree of these constructs in the resilient behavior of women entrepreneurs, having the difficulties related to the gender stereotype as a point of interest.
Practical implications
The contribution to the managerial field is to alert women entrepreneurs about the need to understand the role of affectivity and cognition in facing adversity to strengthen their resilient behavior.
Social implications
The contribution to the managerial field is to alert women entrepreneurs about the need to understand the role of affectivity and cognition in facing adversity to strengthen their resilient behavior.
Originality/value
This study provides original evidence that cognitive and affective aspects influence women’s entrepreneurial behavior with the same degree of importance. Therefore, they must be investigated jointly. This discovery brings relevance to theoretical and empirical studies on this topic.
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George (Yiorgos) Allayannis, Gerry Yemen and Paul Holtz
This public-sourced case describes the latest restructuring efforts by Deutsche Bank (DB) and gives a short history of prior restructuring efforts from the decade before. In July…
Abstract
This public-sourced case describes the latest restructuring efforts by Deutsche Bank (DB) and gives a short history of prior restructuring efforts from the decade before. In July 2019, Christian Sewing, the new CEO of DB, announced a series of measures that included, among others, the elimination of global equity trading, the layoff of 18,000 employees, the creation of a “bad bank” to transfer noncore assets, and the suspension of dividends until 2022. The case describes key decisions a bank CEO makes when a bank needs to change course to return to profitability and growth. The case offers an opportunity to debate these key decisions, as well as discuss some of the prior ones during earlier restructuring efforts, and put the students in the CEO's shoes: What would you do and why? The case also describes key banking performance metrics (e.g., ROE, ROA) and other critical variables such as those reflecting capital health (Tier 1 ratio), as well as gives an overview of the bank business model and factors impacting bank profitability and value.
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Anat Toder Alon and Hila Tahar
This study aims to investigate how message sidedness affects the impact of fake news posted on social media on consumers' emotional responses.
Abstract
Purpose
This study aims to investigate how message sidedness affects the impact of fake news posted on social media on consumers' emotional responses.
Design/methodology/approach
The study involves a face-tracking experiment in which 198 participants were exposed to different fake news messages concerning the COVID-19 vaccine. Specifically, participants were exposed to fake news using (1) a one-sided negative fake news message in which the message was entirely unfavorable and (2) a two-sided fake news message in which the negative message was mixed with favorable information. Noldus FaceReader 7, an automatic facial expression recognition system, was used to recognize participants' emotions as they read fake news. The authors sampled 17,450 observations of participants' emotional responses.
Findings
The results provide evidence of the significant influence of message sidedness on consumers' emotional valence and arousal. Specifically, two-sided fake news positively influences emotional valence, while one-sided fake news positively influences emotional arousal.
Originality/value
The current study demonstrates that research on fake news posted on social media may particularly benefit from insights regarding the potential but often overlooked importance of strategic design choices in fake news messages and their impact on consumers' emotional responses.
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