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There is a growing interest in measuring emotions evoked by food products to gain additional insights in how consumers perceive and choose food products. The aim of this study was to investigate if consumers' emotions are influenced by flavour, gender, consumption habits, actual tasting or consumer attitude towards a product. Chocolate was chosen as the product under study as its consumption is associated with evoking several emotions.

During a between-subjects experiment at a local food fair, consumers (n = 910) evaluated either the name “chocolate”, plain dark chocolate or raspberry flavoured dark chocolate. Participants rated the intensity of 24 emotions and answered the 24 statements of the Attitude to Chocolate Questionnaire.

The results showed that sensory characteristics have a significant influence on the emotional profiles whereas no difference was found between tasting and not tasting. Gender and prior liking had little to no influence. Finally, the results suggested that consumption frequency and attitudes towards chocolate did have an influence on the emotional profiles.

The results show that producers should try to evoke positive emotions which could be emphasised through marketing. Gender differences for emotional profiling advocate that future research should not only analyse global results but also separately analyse by gender. Moreover, usage frequency and attitudes towards chocolate had an impact on the emotions meaning that future research should consider those when setting up research.

This study further contributes to the growing literature on emotions. It examines the added value of actual tasting chocolate while prior research focuses either just names or just sensory evaluation. Also, this paper further explores to which extent flavour, gender, consumption habits and attitude impact the emotional associations of chocolate.

The purpose of this study is to examine the nature of the relationship between emotional intelligence and materialism by exploring how subjective well-being mediates this link.

Data was collected from surveying 1,000 Lithuanians within random sampling, and structural equation modelling (SEM) techniques using SmartPLS were used to analyze the data.

The results show that emotional intelligence not only has a negative indirect effect on materialism but also a positive impact on both dimensions of subjective well-being (satisfaction with life and affect balance). In addition, the findings indicate that both satisfaction with life and affect balance predict a decrease in materialism. Finally, the SEM analyzes show that the path between emotional intelligence and materialism is partially mediated by both satisfaction with life and affect balance.

The results of this study expand the understanding to what extent and how emotional intelligence is able to assist in adjusting materialistic attitudes, which have become more prevalent with the respective growth of consumerism and consumer culture worldwide. In the light of unsustainable consumption patterns threatening the survival of humankind and nature, the opportunities that could reverse this trend are presented for marketers and policy makers. This study gives insight into the potential pathways for diminishing consumer materialism, which is considered detrimental to subjective well-being and mental health.

The relationship between emotional intelligence and subjective well-being has been well documented, as has the link between materialism and subjective well-being. However, the simultaneous examination of the relationship between emotional intelligence, subjective well-being and materialism is lacking. The current study adds to the understanding of materialism not only by examining the effect of under-researched antecedent such as emotional intelligence but also by explaining the underlying mechanism of subjective well-being by which emotional intelligence connects to materialism.

The purpose of this study is to investigate which emotions and difficulties in the emotional regulation of adolescents with illicit substance consumption.

In total, 41 adolescents undergoing treatment for the use of alcohol and drugs were recruited. The instruments used were the emotional rating scale and the difficulties in the regulation of emotions scale.

Emotional reactivity showed significant differences in the sadness dimension in relation to the number of cannabis cigarettes smoked daily and length of stay, and in the surprise dimension in relation to the number of cannabis cigarettes smoked daily. There was a significant correlation between happiness and age, surprise and number of siblings, sadness and school absenteeism and fear, school absenteeism and number of substances consumed. In regard to difficulties in emotional regulation, there were significant differences between the groups, in strategies regarding the gender of the participants and the number of substances consumed, in non-acceptance and impulses and in the number of substances consumed and in the awareness of the type and number of substances consumed. There was a significant correlation between strategies, non-acceptance, awareness and impulses and the number of substances consumed.

This study demonstrated that the emotional problems of adolescents admitted to a therapeutic community are predictors of illicit substance use.

The authors aim to examine how the construal level, either as an individual temporal orientation or temporal distance of promotion, moderates the effects of emojis' emotional intensity on consumers' purchase intentions in social media advertising.

Two experiments are used to test four hypotheses.

The results of two experimental studies show that present-oriented participants reveal greater purchase intentions when low (vs high) emotionally intense emojis are embedded in a social media ad; but future-oriented consumers showed no difference when viewing ads with the two different emojis. In Study 2, participants indicate greater purchase intentions when a social media ad includes a distant-future promocode and high (vs low) emotionally intense emojis and an ad with a near-future promocode and low (vs high) emotionally intense emojis.

The current study advances our understanding how emojis with different emotional intensities can be effectively used in social media ads. This study also provides theoretical implications to construal level theory (CLT) by examining how emojis interact with construal level, either as a chronic tendency or simulated by psychological distance, can influence consumer response.

The outbreak and continuation of COVID-19 have spawned the transformation of traditional teaching models to a certain extent. The Chinese Ministry of Education’s guidance on “keep learning and teaching during class suspension” has made OTC and learning (OTC) become routinized, and the public’s emotional attitudes toward OTC have also evolved over time. The purpose of this study is to segment the emotional text data and introduce it into the topic model to reveal the evolution process and stage characteristics of public emotional polarity and public opinion of OTC topics during public health emergencies in the context of social media participation. The research has important guiding significance for the development of OTC and can influence and improve the efficiency and effect of OTC to a certain extent. The analysis of online public opinion can provide suggestions for the government and media to guide the trend of public opinion and optimize the OTC model.

This paper takes the topic of “OTC” on Zhihu during the COVID-19 epidemic as an example, combined with the characteristics of public opinion changes, chooses Boson emotional dictionary and time series analysis method to build an OTC network public opinion theme evolution analysis framework that integrates emotional analysis and topic mining. Finally, an empirical analysis of the dynamic evolution of the communication network for each stage of the life cycle of a specific topic is realized.

This paper draws the following conclusions: (1) Through the emotional value table and the change trend chart of the number of comments, the analysis found that the number of positive comments is greater than the number of negative comments, which can be inferred that the public gradually accepts “OTC” and presents a positive emotional state. (2) By observing the changing trend of the average daily emotional value of the public, it is found that the overall emotional value shows a stable development trend after a large fluctuation. From the actual emotional value and the fitted emotional value curve, it can be seen that the overall curve fit is good, so ARIMA (12, 1, 6) can accurately predict the dynamic trend of the daily average emotional value in this paper. Therefore, based on the above-mentioned public opinion, emotional analysis research, relevant countermeasures and suggestions are put forward, which is conducive to guiding the development direction of public opinion in a positive way.

Taking the topic of “OTC” in Zhihu as an example, this paper combines Boson emotional dictionary and time series to conduct a series of research analyses. Boson emotional dictionary can analyze the public’s emotional tendency, and time series can well analyze the intrinsic structure and complex features of the data to predict the future values. The combination of the two research methods allows for an adequate and unique study of public emotional polarization and the evolution of public opinion.

This study investigates the determinants of effective human and artificial intelligence (AI) relationship-building strategies for brands. It explores the antecedents and consequences of consumers' interactant satisfaction with communication and identifies ways to enhance consumer purchase intention via AI chatbot promotion.

Microsoft Xiaoice served as the focal AI chatbot, and 331 valid samples were obtained. A two-stage structural equation modeling-artificial neural network approach was adopted to verify the proposed theoretical model.

Regarding the IQ (intelligence quotient) and EQ (emotional quotient) of AI chatbots, the multi-dimensional social support model helps explain consumers' interactant satisfaction with communication, which facilitates affective attachment and purchase intention. The results also show that chatbots should emphasize emotional and esteem social support more than informational support.

Brands should focus more on AI chatbots' emotional and empathetic responses than functional aspects when designing dialogue content for human–AI interactions. Well-designed AI chatbots can help marketers develop effective brand promotion strategies.

This research enriches the human–AI interaction literature by adopting a multi-dimensional social support theoretical lens that can enhance the interactant satisfaction with communication, affective attachment and purchase intention of AI chatbot users.

The leader of the knowledge‐based organization is faced with the continuing dilemma of delivering the highest quality and most technologically innovative products or services at the lowest possible cost in a rapidly changing environment. This paper aims to start with the identification of the complexities of managing the knowledge‐based organization, using emotional intelligence to balance the interests of the individual and organization, and it may also be redefined as an organizational development process rather than an outcome.

In order to be effective the knowledge‐based leader must possess the characteristics most often associated with the description of emotional intelligence and must also be effective at injecting these same characteristics throughout the organization. Utilizing the premises of Stewart's intellectual economy and adapting the work of Buckingham and Coffman to the knowledge‐based organization, a series of questions is outlined to assist leaders, managers and workers in the improvement of emotional intelligence awareness and the utilization of emotional intelligence as an organizational development process.

Knowledge‐based organizations may benefit from the utilization of behaviors most often attributed to emotional intelligence, and emotional intelligence may be redefined as a process rather than an outcome for organizational development.

The knowledge working environment must utilize innovative processes to maintain the engagement and effectiveness of the workforce. Applying emotional intelligence as an organizational development process rather than an outcome, it becomes a strategy for the development of the individual and the organization concurrently rather than treating them as opposing interests.

Prati, Douglas, Ferris, Ammeter, and Buckley (2003) have proposed that emotional intelligence is a critical component in effective team leadership and team outcomes. John Antonakis (2003) questioned whether the first claim in this article, that emotional intelligence is critical for effective team leadership, is justified. He presents six questions that illuminate his reservations. In response, the present authors attempt to answer his reservations by clarifying and explicating the reasoning behind this claim.

Over the last ten years, increasing attention has been given to employees' displays of emotions to customers during service transactions and particularly to how organisations try to control these emotional displays (Adelmann, 1989; Ashforth & Humphrey, 1993; Hochschild, 1983; Rafaeli & Sutton, 1987, 1989; Wharton & Erickson, 1993). The act of expressing organisationally‐desired emotions during service interactions has been labelled emotional labour (Ashforth & Humphrey, 1993; Hochschild, 1983). The issue in emotional labour research which has received the most focus has been “emotional dissonance”, that is, the state of discomfort generated in employees when they have to express emotions which they do not genuinely feel (Middleton, 1989). In large part, this attention to emotional dissonance has been based on the potential negative consequences that emotional dissonance can have for workers psychological well being (Hochschild, 1983; Erickson, 1991; Rafaeli & Sutton, 1987; Wharton, 1993). This study seeks to extend previous empirical research on when emotional dissonance is most likely to result in these negative consequences and, especially, the importance of role internalisation as a mediating variable in the emotional dissonance‐psychological well‐being relationship.

The authors explore how service workers negotiate emotional laboring with “dirty” emotions while trying to meet the demands of neoliberal healthcare. In doing so, the authors theorize emotional labor in the context of healthcare as a type of embodied and emotional “dirty” work.

The authors apply interpretative phenomenological analysis (IPA) to their data collected from National Health Service (NHS) workers in the United Kingdom (UK).

The authors’ data show that healthcare service workers absorb, contain and quarantine emotional “dirt”, thereby protecting their organization at a cost to their own well-being. Workers also perform embodied practices to try to absolve themselves of their “dirty” labor.

The authors extend research on emotional “dirty” work and theorize that emotional labor can also be conceptualized as “dirty” work. Further, the authors show that emotionally laboring with “dirty” emotions is an embodied phenomenon, which involves workers absorbing and containing patients' emotional “dirt” to protect the institution (at the expense of their well-being).