Danting Cai, Hengyun Li, Rob Law, Haipeng Ji and Huicai Gao
This study aims to investigate the influence of the reviewed establishment’s price level and the user’s social network size and reputation status on consumers’ tendency to post…
Abstract
Purpose
This study aims to investigate the influence of the reviewed establishment’s price level and the user’s social network size and reputation status on consumers’ tendency to post more visual imagery content. Furthermore, it explores the moderating effects of user experiences and geographic distance on these dynamics.
Design/methodology/approach
This study adopts a multi-method approach to explore both the determinants behind the sharing of user-generated photos in online reviews and their internal mechanisms. Using a comprehensive secondary data set from Yelp.com, the authors focused on restaurant reviews from a prominent tourist destination to construct econometric models incorporating time-fixed effects. To enhance the robustness of the authors’ findings, the authors complemented the big data analysis with a series of controlled experiments.
Findings
The reviewed establishments price level and the users reputation status and social network size incite corresponding motivations conspicuous display “reputation seeking” and social approval motivating users to incorporate more images in reviews. “User experiences can amplify the influence of these factors on image sharing.” An increase in the users geographical distance lessens the impact of the price level on image sharing, but it heightens the influence of the users reputation and social network size on the number of shared images.
Practical implications
As a result of this study, high-end establishments can increase their online visibility by leveraging user-generated visual content. A structured rewards program could significantly boost engagement by incentivizing photo sharing, particularly among users with elite status and extensive social networks. Additionally, online review platforms can enhance users’ experiences and foster more dynamic interactions by developing personalized features that encourage visual content production.
Originality/value
This research, anchored in trait activation theory, offers an innovative examination of the determinants of photo-posting behavior in online reviews by enriching the understanding of how the intricate interplay between users’ characteristics and situational cues can shape online review practices.
Details
Keywords
Hengyun Li, Lingyan Zhang, Rui (Ami) Guo, Haipeng Ji and Bruce X.B. Yu
This study aims to investigate the promoting effects of the quantity and quality of online review user-generated photos (UGPs) on perceived review usefulness. The research further…
Abstract
Purpose
This study aims to investigate the promoting effects of the quantity and quality of online review user-generated photos (UGPs) on perceived review usefulness. The research further tests the hindering effect of human facial presence in review photos on review usefulness.
Design/methodology/approach
Based on review samples of restaurants in a tourist destination Las Vegas, this study used an integrated method combining a machine learning algorithm and econometric modeling.
Findings
Results indicate that the number of UGPs depicting a restaurant’s food, drink, menu and physical environment has positive impacts on perceived review usefulness. The quality of online review UGPs can also enhance perceived review usefulness, whereas facial presence in these UGPs hinders perceived review usefulness.
Practical implications
Findings suggest that practitioners can implement certain tactics to potentially improve consumers’ willingness to share more UGPs and UGPs with higher quality. Review websites could develop image-processing algorithms for identifying and presenting UGPs containing core attributes in prominent positions on the site.
Originality/value
To the best of the authors’ knowledge, this study is the first to present a comprehensive analytical framework investigating the enhancing or hindering roles of review photo quantity, photo quality and facial presence in online review UGPs on review usefulness. Using the heuristic-systematic model as a theoretical foundation, this study verifies the additivity effect and attenuation effect of UGPs’ visual elements on judgements of online review usefulness. Furthermore, it extends scalable image data analysis by adopting a deep transfer learning algorithm in hospitality and tourism.
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Daniel Eduardo Chavez and Haipeng (Allan) Chen
The purpose of this paper is to propose an overarching unifying theory where first-mover advantages are a conditional effect, not a main effect. By offering a closer look at how…
Abstract
Purpose
The purpose of this paper is to propose an overarching unifying theory where first-mover advantages are a conditional effect, not a main effect. By offering a closer look at how the firm, market and product characteristics influence the supply and demand of innovations, this research furthers our understanding of the advantages and disadvantages for first movers.
Design/methodology/approach
This paper explores first-mover advantages as a conditional effect. Adopting a contingency perspective, the authors review the literature in marketing, strategic management, innovation and entrepreneurship to offer a conceptual framework putting innovation success at the core of first-mover advantages. The authors develop an inventory of propositions specifying how first-mover advantages depend on various firm features, market characteristics and product properties through their effects on the success of innovations.
Findings
A conceptual framework centered around innovation success yields testable hypotheses that are coherent with extant research on first-mover advantages and reconcile the seemingly contradictory evidence in that body of work.
Practical implications
This research provides managers with the opportunity to think about one of the most important decisions, i.e. time of entry, not as a linear finite decision, but instead as a flow with the innovations and potential for their success in mind.
Originality/value
This paper distinguishes itself from the existing literature with its focus on innovation within a contingency perspective for first-mover advantages.
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Keywords
Xiaoming Han, He Zhang and Kangjian Yang
This study aims to investigate the temperature rise characteristics of vibrating rolling bearings under the influence of the polarization force of unbalanced eccentric blocks. A…
Abstract
Purpose
This study aims to investigate the temperature rise characteristics of vibrating rolling bearings under the influence of the polarization force of unbalanced eccentric blocks. A thermal-fluid-solid mechanics coupled finite element model is established to analyze the effects of different loads and rotational speeds on bearing temperature to prevent overheating, wear and thermal damage.
Design/methodology/approach
A thermal-fluid-solid mechanics coupled finite element model of the vibrating rolling bearing is developed based on the principles of heat transfer. Finite element analysis software is used to conduct numerical simulations and study the temperature distribution of the bearing system under different loads and speeds. The model’s accuracy is verified by experimentally measuring the actual temperature of the bearing under the same working conditions.
Findings
This study successfully established a thermal-fluid-solid mechanics coupled finite element model of a vibrating rolling bearing, verifying its accuracy and reliability. The research results provide an essential reference for optimizing bearing design, preventing overheating and extending service life.
Research limitations/implications
By analyzing the temperature rise characteristics under various load and rotational speed conditions, the law governing the internal temperature distribution of bearings is revealed. This finding offers a theoretical foundation for comprehending the thermal behavior of bearings.
Practical implications
This study offers a scientific foundation for the maintenance and fault diagnosis of shaker rolling bearings, aiding in the timely identification and resolution of thermal damage issues. Through the optimization of bearing design and usage conditions, the equipment’s lifespan can be prolonged, maintenance expenses can be minimized and production efficiency can be enhanced.
Originality/value
A thermal-fluid-solid mechanics coupled finite element model of a vibrating rolling bearing was established, considering the interaction of multiple physical fields. The influence of the polarization force from the unbalanced eccentric block on the bearing temperature is analyzed in detail, which is close to the actual working conditions.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-10-2024-0396/