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This study extends the commitment-trust theory from the perspective of relationship marketing and explores its effect on purchase intention under the moderation of trust by investigating vloggers' relationship marketing in the context of social media.

The study employs a survey investigation with online questionnaires in China, and the hypotheses were tested using multiple regression analyses, with 319 valid consumer responses.

The findings reveal that the extended commitment-trust theory is applicable in the context of social media. Perceived relationship commitment, expertise, physical attractiveness, social attractiveness and self-disclosure play a significant role in predicting purchase intention. Relationship commitment proves to be a mediator between the antecedents and purchase intention. Trust shows a moderating effect on the antecedents and relationship commitment.

The study provides evidence of the importance of the above-mentioned antecedents in influencing viewers' relationship commitment to vloggers in the context of social media. The results contribute to the development of the commitment-trust theory and an understanding of the theory's underlying mechanisms. The result also provides further evidence of the effect of trust on relationship commitment.

The purpose of this study is to provide a nuanced understanding of the marketing placebo effect (MPE) of products with reduced sugar labeling and how it forms certain perceptual underpins (perceived healthiness (PH) and perceived tastiness (PT)), with the potential effect of product category and social class in consideration.

The proposed model is tested using a sample of 822 participants by employing partial least squares structural equation modeling (PLS-SEM). Hypothetical relationships among MPE, PH, PT, purchase intention (PI) and social class are examined for both hedonic and utilitarian products.

The results highlight the positive role of MPE in leveraging consumer PI through the parallel mediation of PH and PT. The positive effect of MPE on PH and PT was more pronounced for the utilitarian product. In addition, social class negatively moderated the relationship between PH and PI only in the case of the utilitarian product.

This paper contributed to the MPE literature in the food industry by challenging the conventional intuition of “Unhealthy = Tasty” and highlighting the potential of perceived food healthiness to positively influence perceived food tastiness under the effect of MPE. An upper social class would attenuate the positive effect of perceived food healthiness on PI.

The purpose of this paper is to perform the computational fluid dynamics (CFD) simulation with experimental validation to investigate the particle segregation effect in abrupt and smooth shapes circulating fluidized bed (CFB) risers.

The experimental investigations were carried out in lab-scale CFB systems and the CFD simulations were performed by using commercial software BARRACUDA. Special attention was paid to investigate the gas-particle flow behavior at the top of the riser with three different superficial velocities, namely, 4, 6 and 7.7 m/s. Here, a CFD-based noble simulation approach called multi-phase particle in cell (MP-PIC) was used to investigate the effect of traditional drag models (Wen-Yu, Ergun, Wen-Yu-Ergun and Richardson-Davidson-Harrison) on particle flow characteristics in CFB riser.

Findings from the experimentations revealed that the increase in gas velocity leads to decrease the mixing index inside the riser. Moreover, the solid holdup found more in abrupt riser than smooth riser at the constant gas velocity. Despite the more experimental investigations, the findings with CFD simulations revealed that the MP-PIC approach, which was combined with different drag models could be more effective for the practical (industrial) design of CFB riser. Well agreement was found between the simulation and experimental outputs. The simulation work was compared with experimental data, which shows the good agreement (<4%).

The experimental and simulation study performed in this research study constitutes an easy-to-use with different drag coefficient. The proposed MP-PIC model is more effective for large particles fluidized bed, which can be helpful for further research on industrial gas-particle fluidized bed reactors. This study is expected to give throughout the analysis of CFB hydrodynamics with further exploration of overall fluidization.

Building on Lambert’s (2001) work on turnover intent in law enforcement, this study examines how organizational characteristics and job attitudes along with job satisfaction, and organizational commitment affect turnover intent among Taiwanese police officers.

Data were collected from the New Taipei City Police Department (NTCPD) in the summer of 2012 via stratified random sampling (N = 1,035). Structural equation modeling was employed to examine factors affecting turnover intent.

Job satisfaction and organizational commitment reduced the risk of turnover, while job stressors and training effectiveness directly increased the risk. Worthy of note, officers with a Central Police University degree and who were married had a lower risk of turnover.

This study applies Lambert’s (2001) turnover intent model in law enforcement agencies developed in the West to a non-western policing setting. The use of SEM assures the robustness of the findings. Some noteworthy contrasts in findings from Western and non-Western settings are presented.

Many reviews on the internet are contributed their time to evaluate which are largely transparent generally; however, How are these information valuable and useful to visitors before making a purchasing decision? As the reason, there is a need to understand the distal path of visitors concern. The purpose of this paper is to evaluate the effects of both perceived useful and valuable motivations on visitors’ willingness to buy in the distal paths.

Web questionnaire survey.

Visitors’ confirmation was the beginning to impact the intention to buy through only one distal path, perceived value (PV) and satisfaction.

Even though the author tried his best to design and implement thoughtfully for this research, there are still some limitations. First, the results could be influenced by self-selection bias. The sample of respondents surveyed in this study consisted of young adults (58.90 percent were between the ages 21 and 25 years old), the majority of whom (54.79 percent) were students. Therefore, in the context of this study, the visitors surveyed were young and able to easily access information online. The phenomenon has been, proved by Hsu (2013), found, it still needs to explore further. Second, perceived usefulness did not have a significant impact on satisfaction which consistent with Tao et al. (2009) result. The data represent the response’ feeling for now; it needs to be explored further. Third, it would also be worthwhile to investigate any obstacles, such as believable (Cheung et al., 2012) that might reduce the intentions to buy of visitors. Finally, recommendations and promotions have also been found to influence visitors’ further purchasing behavior, such as extra buy (Tsao, 2013). These phenomena are worth investigating in future research.

To inspire visitors, information of reviews can be posted by offering positive or negative suggestions (e.g. good or bad experience); managers should improve their products or services from the suggestions of reviews and need to consider the distinctive influences of various aspects of reviews when promoting products and devising e-marketing strategies. Marketers should recruit and filter reviews to write positive suggestions of their own products or service. IS practitioners should post the reviews might need to provide more detailed information (e.g. the reasons of like or dislike). The posted information from reviews should be accurate, particularly aiming at visitors who are motivated by reviews’ suggestions. All proposed measures are particularly important for visitors with sufficient reviews effects. Greater transparency of reviews might be achieved by more explicit reviews information (e.g. via like or dislike statements).

The result provides a basis to generate concrete advice for owners about reviews concern to enhance visitors’ PV. It seems sensible to pursue two strategies: first, enhance the visitors’ PV to trigger motivation forward, and second, inspire the visitors to progress smoothly in the visiting stage.

The results of the expectation-confirmation theory applied to reviews recommendations how important to employ for enterprises. These reviews were either directly given by experienced users or at least validated with their help to visitors. Therefore, the value is building the distal bridge between visitors and customers through online general reviews.

The purpose of this paper is to investigate the effects of anthropomorphism and identify factors related to adopting voice shopping on smart speakers.

Progress in partial least squares structural equation modeling (PLS-SEM) approach is used to test the proposed research framework regarding anthropomorphism and user perceptions on voice shopping via smart speakers. Individuals' responses to questions about attitude and intention to use voice shopping via smart speakers were collected and analyzed.

The results showed that anthropomorphism had a positive influence on satisfaction, which, in turn, had a positive impact on intention to adopt voice shopping, and customers had positive opinions regarding smart speakers.

This study only reflects a younger perspective on smart speaker voice shopping. This study identified the characteristics of smart speakers that increase customers' intention to purchase, which can be used to formulate sales strategies and management guidelines.

This research provided a new perspective to enable practitioners to promote smart speakers for voice shopping. Smart speaker manufacturers can utilize the findings of this research to improve the system design of smart speakers to further facilitate voice shopping.

Unlike previous studies, which focused on product attributes of smart speakers or voice shopping experiences, this study provided a clear picture of how the anthropomorphic feature of smart speakers affects customers' intention to adopt voice shopping.

The purpose of this study is to examine the role of scent congruence with the brand image in the formation of consumers’ reactions to the atmosphere of a place.

Using a factorial design (i.e. scent congruent with the brand image, scent not congruent and control), an experiment was conducted in a multi-service and hospitality space welcoming both local consumers and tourists (N = 303).

The findings show that when the scent is perceived as congruent with the brand image, reactions in the store are more favourable. It is not enough to use a scent that “smells good” or that is congruent with other factors (e.g. sensory environment); the scent must be perceived by consumers as consistent with the brand image. Findings also reveal that the diffusion of a scent congruent with the brand image improves guest satisfaction, intention to revisit and perceptions of the product and service.

The limitations are both the emphasis on direct links and the focus on a French brand (café/co-working space franchise). It would be appropriate to extend the research to other contexts.

The findings show how important it is for hospitality organisations to use scents to generate a positive impact on their guests. Hotel, restaurant and café managers wishing to enhance customer reactions through the creation of an olfactory atmosphere should take scent congruence with the brand image into consideration.

The study of the effects of the atmosphere on consumer behaviour as a function of olfactory congruence with the brand image uses in-situ experimentation (café/co-working and food and beverage area).

Live streaming sales (LSS) is an emerging and flourishing practice in the retail industry. While its implementation has been pervasively attempted, there is a lack of systematic and academic exploration of the practice. Therefore, the aim of this study was to investigate the LSS ecosystem and its development through a literature review and an industry analysis. Moreover, by pinpointing the pitfalls in current practices, this paper presents the practical implications of LSS and provides recommendations and directions for future academic exploration.

The aim of the present study was to investigate the developing trajectory, exclusive elements (such as multi-channel networks (MCNs) and live streamers) and other critical components of the LSS ecosystem using a mixed-methods approach that comprises content analysis of newspaper articles and press releases, literature view and industry analysis.

The results of the analyses indicate the presence of several nonfungible modular components in the LSS ecosystem, including upstream suppliers, MCNs, live streamers and platforms. It was also found that inequalities and hierarchies are inherent to the LSS ecosystem as it currently exists: low-end participants in the LSS industry and small- and medium-sized enterprise owners, who constitute the majority of LSS practitioners, cannot reach the break-even point via LSS hosted by top-level live streamers or others (low-level live streamers, employees, etc.).

This article discusses the LSS ecosystem based on the nature of the nonfungible modules within it. In addition, it discusses the modules (roles) and relationships among them based on the theory of ecosystem developed by previous studies. Furthermore, drawing from an analysis of the pitfalls in the LSS ecosystem, this article highlights strategies for two critical e-commerce processes: 1) choosing which type of LSS to apply based on the factors of brands, products and consumers and 2) integrating LSS to optimize post-sale service and appeal to the sustainability of development.

Online customer relationship management (CRM) is an important issue for implementing digital marketing of electronic commerce or social commerce. The purpose of this study is to establish valuable markets for discovering customer knowledge from data-driven CRM systems for enhancing growth rates of businesses. Airline or travel agency industries are online businesses in the world. Therefore, the industries in Taiwan will be an empirical case for this study.

This research applied a procedure with an applied proposed model for establishing valuable markets from data-driven CRM systems. However, the study used a proposed customer value model (recency, frequency and monetary [RFM]; RFM model-based), the analytic hierarchy process (AHP) procedure and a proposed equation for estimating customer values.

For enhancing the data-driven CRM marketing of the industries, in this research, the market of air travelers can be partitioned into eight markets by the proposed model. As well, the markets can be ranked by the AHP procedure. Furthermore, the travelers’ customer values can be estimated by a proposed customer value equation.

Via the applied proposed procedure, online airlines, travel agencies or other online businesses can implement the research procedure as their data-driven marketing strategy on their online large-scale or Big Data customers’ databases for enhancing sales rates.

This paper aims to address a new iterative tuning method of PID control for robot manipulators.

This tuning method uses several properties of the robot control, such as any PD control can stabilize a robot in regulation case, the closed-loop system of PID control can be approximated by a linear system, the control torque to the robot manipulator is linearly independent of the robot dynamic.

Compared with the other PID tuning methods, this novel method is simple, systematic, and stable. The transient properties of this PID control are better than the other normal PID controllers.

In this paper, a new systematic tuning method for PID control is proposed. The paper applies this method on an upper limb exoskeleton, and real experiment results give validation of our PID tuning method.