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1.
Understanding the effect of managerial response on online review management has attracted the attention of scholars in recent years. However, the effect of personalized managerial response on the negative inconsistent review is a lack of evidence. This study investigates how personalized managerial responses influence negative review helpfulness according to the various levels of review inconsistency and the underlying mechanism behind the effect. We adopted a secondary data analysis based on the TripAdvisor dataset and used an online experiment study to investigate the impact mechanism. Findings reveal that the personalized managerial response positively influences review helpfulness, review inconsistency (negative rating with positive textual sentiment) moderates the effect of personalized managerial response on review helpfulness, and perceived response helpfulness mediates the above relationships. More specifically, personalized managerial response to negative inconsistent reviews has a pronounced effect on consumers’ perception of response helpfulness and their evaluation of review helpfulness. This study improves the current understanding of managerial responses, and provides practical guidance for hoteliers, consumers, and travel websites.  相似文献   
2.
E-commerce livestreaming depends heavily on user engagement. However, the effect of relational bonds (i.e., financial bonds, social bonds, and structural bonds) on user engagement in e-commerce livestreaming has not been well understood. Our study develops a conceptual model to investigate the impacts of relational bonds on user engagement and addresses the mediating role of trust. We collected data from users of the DianTao App. The results show that social bonds and structural bonds positively affect user engagement, while financial bonds have no direct impact on user engagement. Financial bonds, social bonds, and structural bonds are positively related to trust in the broadcaster. Similarly, financial bonds, social bonds, and structural bonds are also positively associated with trust in the platform. Furthermore, trust in the broadcaster and trust in the platform directly affects user engagement, fully mediating the impact of financial bonds on user engagement, while partially mediating the impacts of social bonds and structural bonds on user engagement. In addition, we find that experience moderates the mediating effects of trust between relational bonds and user engagement. The findings of this study provide useful insights for operators who should invest in building relational bonds and user trust to improve user engagement in e-commerce livestreaming.  相似文献   
3.
Predicting consumption behavior is very important for adjusting supplier production plans and enterprise marketing activities. Conventional statistical methods are unable to accurately predict green consumption behavior because it is characterized by multivariate nonlinear interactions. The paper proposes an optimized fruit fly algorithm (FOA) and extreme learning machine (ELM) model for consumption behavior prediction. First, to address the problem of uneven search direction of FOA leading to insufficient search ability and low efficiency, the paper proposes a sector search mechanism instead of a random search mechanism to improve the global search ability and convergence speed of FOA. Second, to address the issue that the initial weights and hidden layer bias values of the ELM are randomly generated, which affects the learning efficiency and generalization of the ELM, the paper uses an improved FOA to optimize the weights and bias values of ELM for improving the prediction accuracy. Taking the green vegetable consumption behavior of Beijing residents as an example, the results show the optimization of the initial weight and threshold of ELM by the GA, PSO, FOA, and SFOA, the prediction accuracy of the GA-ELM, PSO-ELM, FOA-ELM, and SFOA-ELM models all surpass those of ELM. Compared with BPNN, GRNN, ELM, GA-ELM, PSO-ELM, and FOA-ELM models, the RMSE value of SFOA-ELM was decreased by 9.45%, 8.40%, 11.89%, 5.84%, 2.22%, and 2.69%, respectively. These findings demonstrate the effectiveness of the SFOA-ELM model in green consumption behavior prediction and provide new ideas for the accurate prediction of consumption behaviors of other green products with similar characteristics.  相似文献   
4.
The visual cues shoppers view at the point of purchase during the shopping process is vital to product selection and sales. We aimed to identify the intrinsic and extrinsic visual cues or touchpoints customers use to select a product (live plant) in retail stores. Eye-tracking technology (ETT) has enabled market researchers to conduct cost- and time-efficient studies. Few studies have been conducted in a retail setting to pinpoint how shoppers attend to visual cues in situ. Using ETT gave researchers insight into the cognitive processes leading to purchase. We recruited four retail greenhouses in Michigan to collaborate on the study, and researchers invited customers from the store’s email list to participate. Researchers used eye-tracking glasses to record eye movement during a <12-min shopping trip to purchase a $10 plant. We analyzed 150 useful videos to identify attention to marketing and non-marketing cues at the point of purchase (e.g., reading a sign, product interaction, cell phone use). Time spent in specific store areas (e.g., annuals, perennials, shrubs, etc.) was measured. For 67 shoppers who purchased an annual plant, we analyzed which cues and touchpoints influenced the shopping time spent. Results showed that the most frequently accessed cue/touchpoint was intrinsic: product interaction (looking at or touching a plant). Participants read, on average, 6.7 signs with price and 4.5 signs without price. Conversely, only 34% interacted with employees, and 19.4% used their cell phones. Building on this exploratory study, future research could investigate signage elements attracting attention and motivations for employee interaction and cell phone use.  相似文献   
5.
This paper proposes a novel two-stage VMD-based multi-scale regression to analyze various cryptocurrency attributes that are still unclear in the existing literature. In the first stage, Variational Mode Decomposition (VMD) is used to decompose the cryptocurrency prices into low, medium and high frequency modes with different attributes. In the second stage, the VMD-based multi-scale regression is proposed for these modes with selected explanatory variables. Using the proposed framework, we focus on analyzing the multiple attributes of daily Bitcoin price data as a case study. Empirical results indicate that the low-frequency mode has specific currency or long-term investment characteristics, unlike the short/medium-term investment attributes for the medium-frequency mode, while the high-frequency mode represents some speculation. Some events merely affect a single frequency mode, but others impact all frequency modes. The results of events analysis based on VMD could enhance the identification of the multiple attributes of Bitcoin. Our findings are insightful for future regulation and management of virtual currencies.  相似文献   
6.
Due to the popularity of online travel agency (OTA) booking platforms, OTAs display diverse information, including features of products, on their websites. Based on choice architecture literature, this study aimed to examine the effect of product quality and price sorting (vs. non-sorting) on extreme option choice aversion and identify the moderating effect of displays that made it difficult to read information. The results of a series of four experimental studies (total n = 2838 online panel members) demonstrated that the tendency to choose the non-extreme or middle-attributed options was stronger when quality and price were displayed sorted (vs. non-sorted). It was theorized that easy comparison of multiple options leads to decision-making. The positive effect of quality and price sorting on extreme option choice aversion was significantly reduced when customers had difficulty reading the displayed information.  相似文献   
7.
The panic buying behavior under public health emergencies will lead to many adverse consequences, such as material waste, price fluctuation and uneven distribution of epidemic prevention materials, which will pose a threat to the social stability and economic development. In this paper, we construct a tripartite game model to explore the strategic choices of the public, merchants and the government in order to effectively respond to the panic buying behavior in the epidemic. The results demonstrate that: (1) Eight evolutionary stable strategies emerge in the panic buying events. The worst scenario can be improved by adjusting some relevant parameters. (2) The probability of the public choosing the strategy of “not involving in panic buying” depends on the potential benefits and losses of snapping up, rather than the extent of price rising. (3) The probability of merchants choosing the strategy of “not bid up price” depends on the intangible benefits. (4) The probability of the government choosing the strategy of “active supervision” depends on the supervision costs and government credibility, rather than the amount of fines. In addition, strategic suggestions to mitigate panic buying behavior are put forward from the perspective of each stakeholder.  相似文献   
8.
E-commerce live streaming can considerably help brands improve sales dynamics, but it is multiple dilemmas in choosing suitable e-commerce live streaming product showcasing modes. To address the multiple dilemmas, we first employ the Stackelberg game to depict three e-commerce live streaming product showcasing modes: brand self-live streaming, influencer-led live streaming mixture, and influencer-led special live streaming. Second, we analyze the relationship between choices and game parameters, including live streaming stimulus sensitivity, unit service quality improvement cost, and service sensitivity. Meanwhile, through the comparative analysis of the three modes, we get the optimal threshold of each mode. Last, we conduct a case study comparing Chinese apparel and accessories brands Hodo and RUANS to verify the above relations. The results suggest that: (i) the more sensitive consumers are to live streaming stimulus, the more beneficial it is for the brand manufacturer to employ special live streaming, while the increase in unit service quality improvement cost will harm the brand manufacturer; (ii) the fixed participation fee determines the choice of e-commerce live streaming product showcasing modes; (iii) e-commerce live streaming product showcasing modes can help brands to optimize their decision-making.  相似文献   
9.
Thanks to the expansion of network technologies and the coupling of smartphone hardware, younger generations have unparalleled access to a diverse range of information and interactive communication opportunities. Despite voluminous research on the causes of social network exhaustion and privacy invasion, limited academic attention has been devoted to understanding the driving forces and contributing factors for discontinuing usage of smartphone app. Drawing on the cognition-affect-conation paradigm, the present research proposes a conceptual research model to examine how information overload and communication overload effect social network exhaustion, privacy invasion, and ultimately, smartphone app users' intentions to discontinue usage. The study evaluates data from 442 smartphone app users, employing statistical analyses to demonstrate that both information overload and communication overload significantly impact users' exhaustion and privacy invasion. Additionally, social network exhaustion and privacy invasion are two major predictors of smartphone app discontinuance intention. By identifying the influential factors and causes of younger generations' discontinuous usage intention of smartphone app, this study meets the need for a thorough assessment of the social network exhaustion and privacy invasion phenomena. The findings may potentially enhance comprehension of the discontinuation intention phenomenon in the context of cognitive overload. Furthermore, they may provide novel insights for practitioners regarding effective strategies conducive to managing mobile social network adoption behavior, as well as the preservation of engagement levels among young users in mobile-saturated societies.  相似文献   
10.
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