Abstract:PurposeConsidering the rapid adoption of social media among consumers and organizations, this study intends to examine the impact of online bundle promotions and contextual interactions on impulse buying as consumers encounter them synchronously. Hence, a research model is proposed with the integration of perceived transaction value, perceived acquisition values, top reviews information, impulse buying tendency and emotional intelligence following the stimulus-organism-response framework, promotional framing e… Show more
“…This also showed that the majority of tweets were made by a very small percentage of users, which was backed by the centrality analysis of the network diagram. The first 9% of the users accounted for 56% of the tweets, which is consistent with previous studies ( Zafar et al 2020 ).…”
Social networks have created an information diffusion corpus that provides users with an environment where they can express their views, form a community, and discuss topics of similar or dissimilar interests. Even though there has been an increasingly rising demand for conducting an emotional analysis of the users on social media platforms, the field of emotional intelligence (EI) has been rather slow in exploiting the enormous potential that social media can play in the research and practice of the framework. This study, thus, tried to examine the role that the microblogging platform Twitter plays in enhancing the understanding of the EI community by building on the Twitter Analytics framework of Natural Language Processing to further develop the insights of EI research and practice. An analysis was conducted on 53,361 tweets extracted using the hashtag emotional intelligence through descriptive analytics (DA), content analytics (CA), and network analytics (NA). The findings indicated that emotional intelligence tweets are used mostly by speakers, psychologists (or other medical professionals), and business organizations, among others. They use it for information dissemination, communication with stakeholders, and hiring. These tweets carry strong positive sentiments and sparse connectedness. The findings present insights into the use of social media for understanding emotional intelligence.
“…This also showed that the majority of tweets were made by a very small percentage of users, which was backed by the centrality analysis of the network diagram. The first 9% of the users accounted for 56% of the tweets, which is consistent with previous studies ( Zafar et al 2020 ).…”
Social networks have created an information diffusion corpus that provides users with an environment where they can express their views, form a community, and discuss topics of similar or dissimilar interests. Even though there has been an increasingly rising demand for conducting an emotional analysis of the users on social media platforms, the field of emotional intelligence (EI) has been rather slow in exploiting the enormous potential that social media can play in the research and practice of the framework. This study, thus, tried to examine the role that the microblogging platform Twitter plays in enhancing the understanding of the EI community by building on the Twitter Analytics framework of Natural Language Processing to further develop the insights of EI research and practice. An analysis was conducted on 53,361 tweets extracted using the hashtag emotional intelligence through descriptive analytics (DA), content analytics (CA), and network analytics (NA). The findings indicated that emotional intelligence tweets are used mostly by speakers, psychologists (or other medical professionals), and business organizations, among others. They use it for information dissemination, communication with stakeholders, and hiring. These tweets carry strong positive sentiments and sparse connectedness. The findings present insights into the use of social media for understanding emotional intelligence.
“…Unlike in the past, consumers do not only receive product information, but they also generate and distribute information based on their preferences and experiences, provide recommendations, and interact with product or service providers ( Khokhar et al., 2019 ). These actions enhance consumption behaviour in terms of impulse buys ( Zafar et al., 2020 ), as well as lead to the generation of food waste ( Sainsbury's, 2016 ). In addition, behaviours around food waste are associated with neurotic behaviour and environmental conditions ( Boeve-de Pauw et al., 2011 ; Milfont and Sibley, 2012 ; Opayemi et al., 2020 ).…”
Section: Conceptual Background and Development Of Hypothesesmentioning
The amount of food being thrown away despite being in an edible condition has become alarming in countries with populations with medium and high incomes. Changes in consumer behaviour, such as overbuying, are some of the major impetuses of food waste. This study aimed to examine the relationship between food waste and social media usage, neuroticism, and impulse buying. The mediating role of impulse buying and the moderating role of neuroticism on food waste during the coronavirus (COVID-19) pandemic were also uncovered in this study. A self-administered online survey was distributed to a total of 274 consumers who had experienced a lockdown during the COVID-19 outbreak and were also regular buyers of food. Empirical findings supported the fact that social media usage, neuroticism, and impulse buying were positively related to food waste. Impulse buying mediates the relationship between social media usage and food waste, as well as between neuroticism and food waste. The study results also revealed that neuroticism positively moderates the relationship between social media usage and food waste. This paper offers new insights into efforts for sustainable food consumption to tackle the issue of food waste.
“…Consumers' decision [5], [19] N N N N N [7], [11], [13], [14], [15], [18], [21], [28] Y N N N Y [8], [9], [6], [16], [10], [34], [35] Y N N N N [42], [45], [46], [47] Y N N N N [20], [39], [40], [48] Y…”
Section: Supply Chainmentioning
confidence: 99%
“…Another study on impulsive consumption argued that such behavior reduces environmental sustainability [46]. Zafar et al [47] also declared that online influencer-consumer interactions lead to impulse spending by consumers.…”
Section: Models and Equilibrium Solutionsmentioning
Live e-commerce is an emerging business model in one form of which online influencers sell goods through live-streaming platforms. In this paper, we develop a live e-commerce supply chain pricing model with online influencers as retailers, with which we investigate the effects of consumers' impulsive consumption behavior, satisfaction. This paper analyzes the impact of consumers' impulse purchases on both manufacturers and retailers, and separately, on supply chains. We also assess consumers' purchase decisions when they watch online influencers promoting products via live-streaming. The results reveal that the impact of impulse spending on supply chain agents is non-monotonic. Rational pricing decisions and ensuring high-value products are the keys to profitability and impulse spending that lead to consumer satisfaction and can increase competition in the market. Therefore, supply chain decision makers should increase customers' satisfaction by offering products and enhancement following impulse consumption, rather than simply encouraging further impulse consumption behavior, which can often result in buyer's remorse and returned merchandize.
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