What drives purchase intention on Airbnb? Perspectives of consumer reviews, information quality, and media richness

Barriers to mobile personal health assistant in patients living with diabetes

OBJECTIVES

Continued use of a digital health assistant that helps patients living with diabetes to self-manage and deal with complex problems in order to enhance their health status is a healthcare priority. The objective was to explore the barriers related to the use of a mobile personal health assistant for patients with type 2 diabetes.

METHODS

Eighty-one participants were offered a personal health assistant through a smartphone application. They completed a questionnaire after initial training (T0) and after 1 month's experience (T1).

RESULTS AND CONCLUSION

Most had a positive behavioral intention before using it, but the opposite was found after 1 month. There were positive correlations between behavioral intention and the eight related factors. The strongest correlations were with satisfaction and perceived usefulness at T0 and T1, respectively. The factors' mean values decreased after 1 month. The best predictors of behavioral intention were satisfaction and performance expectancy at T0 and T1, respectively, which predicted the status of 88.4% and 82.7% of the sample. Our findings will help health experts to build better tools that satisfy patients and meet their expectations.

Exploring the impact of sustainable marketing on consumer behavior in the sports industry

The general consensus is that climate change poses a significant danger. Scientists and policymakers are increasingly acknowledging that consumer behavior plays a crucial role in this matter. Specifically, the choices people make regarding what they consume, how they consume it, and the quantities they consume have a direct impact on the environment. In this context, this study aims to examine the effects of sustainable marketing strategies and environmental consciousness on consumer behavior. The research collected data from 532 respondents by administering an online questionnaire. The partial least square structural equation modeling (PLS-SEM) using the SmartPLS 4 was used to test the hypotheses, and the findings revealed that sustainable marketing strategies positively influence consumer behavior and environmental consciousness levels of consumers. In addition, environmental consciousness positively mediated the relationship between sustainable marketing strategies and consumer behavior. The study also found that environmental knowledge moderates the relationship between sustainable marketing strategies and environmental consciousness. The theoretical implications of the research suggest that sustainable marketing strategies can be effective in shaping consumer behavior and promoting environmental consciousness. The managerial implications propose that manufacturing firms in the sports industry can benefit from implementing sustainable marketing strategies and promoting environmental consciousness among their consumers.

Perceived anthropomorphism and purchase intention using artificial intelligence technology: examining the moderated effect of trust

Purpose

This study explores features that impact consumers' purchase intention through artificial intelligence (AI), because it is believed that through artificial intelligence, consumers' intention to purchase grows significantly, especially in the retail sector, whereby retailers provide lucrative offers to motivate consumers. The study develops a theoretical framework based on media-richness theory to investigate the role of perceived anthropomorphism toward an intention to purchase products using AI.

Design/methodology/approach

The study is based on cross-sectional data through an online survey. The data have been analyzed using PLS-SEM and SPSS PROCESS macro.

Findings

The results show that consumers tend to demand anthropomorphized products to gain a better shopping experience and, therefore, demand features that attract and motivate them to purchase through artificial intelligence via mediating variables, such as perceived animacy and perceived intelligence. Moreover, trust in artificial intelligence moderates the relationship between perceived anthropomorphism and perceived animacy.

Originality/value

The study investigates and concludes with managerial and academic insights into consumer purchase intention through artificial intelligence in the retail and marketing sector.

How Media Richness and Interactivity in Hotel Visualization Affect Hotel Booking Intention in Online Travel Agency Applications?

This study is aimed at clarifying the relationship between media characteristics and intention to book hotels in online travel agencies. This study is based on a quantitative approach using a between-subject experimental method, with a $2\times 2$ factorial design consisting of two types of media richness (high and low) and two types of interactivities (high and low). Research data were obtained from 152 respondents and were processed using the ANOVA and mediation method on the SPSS application. This study found that hotel visualizations with high media richness and high interactivity more significantly influence users’ trust, perceived value, and attitudes compared to visualizations with low media richness and interactivity. This research provides practical implications for OTA companies regarding offering features that can support enhanced visualization of hotel displays. This study also contributes to enriching tourism research by comparing levels of media characteristics and their impact on booking intention.

Exploring the Impact of Online and Offline Channel Advantages on Brand Relationship Performance: The Mediating Role of Consumer Perceived Value

As omnichannel shopping behavior becomes increasingly popular among consumers, how to leverage the respective advantages and synergies of online and offline channels to retain customers for a long time is an urgent issue for retailers to solve. The purpose of this study is to explore the key advantages of online and offline channels influencing the omnichannel shopping experience in the decision-making process, and investigate their impact on consumer perceived value and brand relationship performance, as well as the interaction effect of online channel advantages and offline channel advantages. This study identifies the key advantages of online channels (search convenience, customer-generated information richness, and social connection) and offline channels (direct product experience, sales-staff assistance, and servicescape aesthetics) through a qualitative study and relevant literature review. Then, the proposed research framework was tested using the structural model equation in AMOS and hierarchical regression techniques in SPSS utilizing data from 347 shoppers. The results show that all variables except customer-generated information richness have positive impact on consumer perceived value. Other than search convenience and customer-generated information richness, consumer perceived value mediates the effect of other variables on brand relationship performance. Additionally, the interaction effect of online and offline channel advantages positively impacts consumer perceived value.

“We buy what we wanna be”: Understanding the effect of brand identity driven by consumer perceived value in the luxury sector

Prior studies focused on consumer satisfaction and loyalty have brought undeniable benefits to luxury brand marketing but are not sufficient to ensure a long-lasting and profitable customer-brand relationship in the new setting. Brand identity provides a valuable exploration of this issue. However, the current measurement of brand identity is relatively simple, and there is no clear answer to what factors encourage brand identity development. This study attempts to address this gap by dividing the brand identity structure from a multi-dimensional perspective, considering the role of luxury consumer perceived value and brand information quality in shaping the brand identity. Data was gathered by an online questionnaire survey from Chinese consumers who had purchased luxury jewelry, employing regression methods for analysis. The results show that four predictors representing luxury consumer perceived value all have a significant impact on the brand’s social identity and personal identity. In addition, brand information quality also positively moderates the relationship between the luxury consumer perceived value and the brand’s social identity. This study opens new horizons for considering dimensions other than the satisfaction or intention to use, expanding the applications of brand identity in a new context. The results contribute to increasing the awareness level of brand identity for luxury brand practitioners and offering them a new method of market strategy.

The interplay between eWOM information and purchase intention on social media: Through the lens of IAM and TAM theory

The maturity and growth of social media have empowered online customers to generate electronic word of mouth (eWOM), on various online websites and platforms, which may influence an individual’s decision-making process. This paper explores eWOM information’s impact on social media users’ purchase intention by applying the information adoption model (IAM) and the technology acceptance model (TAM). PLS-SEM (SmartPLS V.3.3) has been utilized to test the hypotheses using data of 432 respondents. The research findings evinced that eWOM information quality, credibility, usefulness, and ease of use have been critical in determining online consumers’ intention to adopt eWOM and form purchase behavior on social media. The study’s outcomes offer the marketing managers a viewpoint to realize the significance of the effect of eWOM information on online purchase intention among social media users. Furthermore, the study findings will also enlighten marketing and business managers to utilize social media websites by gauging consumer behavior and focusing on characteristics of eWOM information on social media for better consumer insights.

The role of trust and privacy concerns in using social media for e-retail services: The moderating role of COVID-19

The COVID-19 pandemic has disrupted the customers habits of purchasing as well as shopping behaviours. This study seeks to develop an integrated model of the critical role of trust and privacy concerns in influencing consumers purchase behaviour through social media. It also explored the moderating role of COVID-19 on these relationships. Quantitative data were collected using survey strategy through questionnaires to address different levels of the study. Our proposed model was tested with 1,200 consumers, 600 prior to COVID-19 and 600 during COVID-19. Partial Least Squares Structural Equation Modelling was conducted to assess the hypotheses. The findings revealed that purchase intention depends on trust and privacy concerns. Information quality, security concerns, ease of use, privacy/security assurance seal, and disposition to third party certification are the main drivers of trust and privacy concerns. Furthermore, our proposed model during COVID-19 period has higher explanator power (R2 = 0.741) than before COVID-19 period (R2 = 0.603 and consumers buying behaviour has been increased during COVID-19. The results offer important implications for retailers and are likely to stimulate further research in the area of purchase behaviour through social media.

What influences user participation in an online health community? The stimulus-organism-response model perspective

Purpose

The purpose of this paper is to understand the effect of platform characteristics (i.e. media richness and interactivity) on individual perception (i.e. outcome expectations) and consequent behavioral response (i.e. user participation in online health communities (OHCs)) based on the stimulus-organism-response (S-O-R) model.

Design/methodology/approach

This study developed a research model to test the proposed hypotheses, and the proposed model was tested using partial least squares structural equation modeling (PLS-SEM) for which data were collected from 321 users with OHC experience using an online survey.

Findings

The empirical results show the following: (1) the three dimensions of media richness significantly affect the three outcome expectations, except that richness of expression has no significant effect on the outcome expectation of health self-management competence. (2) Human-to-human interaction significantly affects the three outcome expectations. Moreover, compared with human-to-human interaction, human-to-system interaction has a stronger impact on the outcome expectation of health self-management competence. (3) The three outcome expectations have a significant influence on user participation in OHCs.

Originality/value

This study extends the understanding about how platform characteristics (i.e. media richness and interactivity) motivate user participation in the context of OHCs. Drawing on the S-O-R model, this study reveals the underlying mechanisms by which media richness and interactivity are associated with outcome expectations and by which outcome expectations is associated with user participation in OHCs. This study enriches the literature on media richness, interactivity, outcome expectations and user participation in OHCs, providing insights for developers and administrators of OHCs.

Investigating the Effects of Video-Based E-Word-of-Mouth on Consumers’ Purchase Intention: The Moderating Role of Involvement

Short videos have been increasingly prevalent around the globe and have become an important channel for users to share product and service information and for marketers to attract potential customers. However, rarely have studies empirically examined the impact of product review videos posted on short video platforms on consumers’ purchase intention. Grounded in the elaboration likelihood model, this study proposes a research model to investigate how the product review video features (i.e., video information quality, product information visualization, video emotion polarity, and video publisher credibility) influence consumers’ purchase intention. Moreover, the moderating role of involvement (i.e., product involvement and video involvement) in the above-mentioned relationships have also been examined in this new research context. We empirically validate the research model with survey data. It is interesting to find that product information visualization and video publisher credibility are significantly and positively related to purchase intention. Video involvement negatively moderates the relationship between video publisher credibility and purchase intention. Furthermore, video emotion polarity negatively moderates the relationship between product information visualization and purchase intention. Both theoretical and practical implications are discussed.

The Relationship Between Ethical Leadership and Employee Job Satisfaction: The Mediating Role of Media Richness and Perceived Organizational Transparency

Ethical leadership (EL) is a vital component driving firms' practice, significantly affecting employee satisfaction (ES). The objective of this study was to investigate the relationship between EL and employee job satisfaction. Moreover, the study investigates the mediating effect of media richness (MR), perceived organizational transparency (OT) on EL, and ES. In addition, the study used a convenient sampling technique for collecting the data from 276 employees working in the service sector of Macau. Essentially, questionnaires had used as the fundamental tool guiding the data collection method. The findings indicate a positive and significant relationship between EL, ES, MR, and perceived OT. The MR and perceived OT have significant mediating effects between EL and ES. The study is beneficial for the service sector of Macau to plan the strategies for their employees in terms of organizational sustainability and success. The study is also helpful for the government to understand EL and for the researcher to search the new aspects of EL in organizations for future research direction.

Tourism Using Virtual Reality: Media Richness and Information System Successes

Due to the COVID-19 pandemic outbreak, borders were closed, cities were blocked, and individuals went into quarantine. The market size of the tourism industry in 2020 declined by more than 70% compared to the previous year, regressing to the size it was 30 years ago. This does not mean that people’s needs for tourism have decreased. People started to use virtual reality technologies to get the experience of sightseeing even if they could not go directly to tourist attractions. Prior studies found that virtual reality technology is effective for online shopping and gaming contexts. However, there are insufficient studies investigating the effect of using virtual reality for tourism content. Therefore, this study attempts to verify how the media richness of virtual reality tourism content elicits various reactions from potential tourists in terms of perceived usefulness, perceived enjoyment, satisfaction, destination visit intention, and positive word-of-mouth intention. The purpose of this study is to verify how virtual reality tourism content increases the destination visit intention after the COVID-19 pandemic. Based on media richness theory and the information system success model, a hypothesis was developed. One hundred and eighty-two data were gathered from potential tourists who were in quarantine by performing an online scenario survey that used quasi-experiment methods. Data were analyzed with a PLS algorithm. The results indicate that media richness of tourism content using virtual reality significantly increased perceived usefulness and perceived enjoyment. It could significantly increase satisfaction, destination visit intention, and positive word-of-mouth intention. The results of this study explain how information technology can be used in the tourism industry, and they provide suggestions on why tourism content using virtual reality can be useful for attracting tourists, and what experiences it can provide tourists.

Organizational attractiveness: Targeting prospective employers on social networking sites

BACKGROUND: Many business organizations have integrated the use of professional social networking sites into their HR practices in order to communicate with and attract qualified candidates as part of their talent acquisition strategy. OBJECTIVE: The aim of this research is to explore some social and behavioral signals on social networking sites that enhance organizational attractiveness. Grounded in the signaling theory, this paper fills the research gap by investigating new types of signals on public professional social networking sites that can affect organizational attractiveness as an employer. METHODS: In this research, a quantitative research methodology was used. The sample consists of 288 job applicants using Social Networking Sites in Canada. RESULTS: The results highlighted the importance of social and behavioral factors that play a significant role in enhancing organizational attractiveness on professional social networking sites. CONCLUSIONS: The results provide insights and practical value for managers who decide to integrate social networking sites into their practices. Additionally, the findings of this research help the managers to better understand the factors that have an impact on job applicants’ choices of their future job and employer.

The influence of social Q&A systems on consumers' purchase intention: an empirical study based on Taobao's “Ask Everyone”

Purpose

Social question and answer (Q&A) systems have been rapidly developed on many e-commerce websites. The purpose of this paper is to explore how social Q&A systems influence consumers' information processing and purchase intention.

Design/methodology/approach

The authors design this research based on the information adoption model (IAM). First, the auhors consider the impacts of the central route (information factor) and peripheral route (social factor) on consumers' perception of information usefulness in Q&A systems. Then, the authors verify the influence of information and social aspects on purchase intention and empirically test the model with structural equation modelling (SEM) using 428 effective data samples.

Findings

On the whole, the authors prove that purchase intention is influenced by information and social aspects, which are two paths in Q&A systems. Specifically, both answer quality and social presence positively influence information usefulness. Interestingly, respondent credibility and answer consistency do not significantly impact information usefulness. Moreover, information usefulness positively affects information adoption, which positively affects consumer purchase intention.

Practical implications

This paper provides insights on social Q&A system mechanism design.

Originality/value

First, this paper is a useful complement to the research on social Q&A systems on e-commerce websites. Second, the authors provide a new theoretical lens through which the impacts of social Q&A systems on e-commerce websites are understood by extending the IAM. Third, the authors add answer consistency into original information process routes, which obtains a finding that is different from those of prior research.

Effective and Ineffective Service Recovery Recipes in the Peer-to-Peer (P2P) Sharing-Service Model: Using the Fuzzy-Set Qualitative Comparative Analysis (fsQCA) Approach

In a peer-to-peer (P2P) sharing-service model, a platform provider (PP) has no direct control over the service quality of peer service providers (PSPs). However, an unpleasant experience with a single PSP may impact customer responses to the PP. Hence, the PP should offer PSPs guidelines on how to cope with service failures. To identify effective/ineffective recovery strategies, this study examined the influence of the characteristics of service failure/recovery and customers that influence customers’ behavioral intentions toward the PP. Specifically, it employed multiple regression analysis (MRA) and fuzzy-set qualitative comparative analysis (fsQCA) to analyze the complex relationships between service failure/recovery characteristics (severity of service failure and source of service recovery) and customers’ characteristics (PSP experience, age, and gender) regarding customers’ behavioral intentions (reuse and switching intentions of the PP). The results show (1) four solutions leading to high reuse intention and two solutions leading to high switching intention of the PP when the severity of service failure is high and (2) three solutions leading to high reuse intention and two solutions leading to high switching intention of the PP when the severity of service failure is low. By investigating recovery configurations reflecting the unique characteristics of P2P sharing services, this study contributes to the literature on both P2P sharing services and service failure/recovery.

No matter what the name, we're all the same? Examining ethnic online discrimination in ridesharing marketplaces

Sharing marketplaces emerged as the new Holy Grail of value creation by enabling exchanges between strangers. Identity reveal, encouraged by platforms, cuts both ways: While inducing pre-transaction confidence, it is suspected of backfiring on the information senders with its discriminative potential. This study employs a discrete choice experiment to explore the role of names as signifiers of discriminative peculiarities and the importance of accompanying cues in peer choices of a ridesharing offer. We quantify users' preferences for quality signals in monetary terms and evidence comparative disadvantage of Middle Eastern descent male names for drivers and co-travelers. It translates into a lower willingness to accept and pay for an offer. Market simulations confirm the robustness of the findings. Further, we discover that females are choosier and include more signifiers of involuntary personal attributes in their decision-making. Price discounts and positive information only partly compensate for the initial disadvantage, and identity concealment is perceived negatively.

Understanding Impact Sustainable Intention of S-Commerce Activities: The Role of Customer Experiences, Perceived Value, and Mediation of Relationship Quality

Business activities using social media are currently growing and its development has intrigued practitioners and academics. The purpose of doing this present research is to build a conceptual model, which connects the concepts of customer perceived value and customer experiences with the concept of customer relationship quality to produce sustainable customer intention in social media commerce. Considering the results of two exogenous constructions, namely customer perceived value and customer experience, it can be concluded that both have an impact on relationship quality and customer sustainable intention. In this study, there are six hypotheses, consisting of five accepted hypotheses and one rejected hypothesis. After doing a deeper analysis, it is revealed that good relationship quality determines the significance of sustainable customer intention. In addition, this conducted research examines and experimentally confirms the role of customer perceived value and the customer experience in determining relationship quality and sustainability of customers founded in social media commerce. The novelty shown in this study lies in the integration of two exogenous variables, namely customer perceived value and customer experience, with the variables of relationship quality and customer sustainability intention. Finally, the findings provide theoretical, managerial, and social value and impact for academics, practitioners, and society.

Productivity of gig workers on crowdsourcing platforms through artificial intelligence and gamification: a multi-theoretical approach

Purpose

Gig workers form the backbone of any crowdsourcing platform where they showcase their talent and choose a job of their choice and freedom. The study explores the role of information quality (IQ) and social-mediated dialogue (SMD) in evaluating gig worker engagement and productivity on crowdsourcing platforms. The authors also propose to understand how gig worker productivity could be improved under the moderating effect of game elements.

Design/methodology/approach

A conceptual model was developed and empirically tested by integrating media richness theory and dialogic public relation theory. Data were collected from gig workers that are involved in crowdsourcing activities for the past three years. An overall sample of 346 gig workers contributing to at least one of the crowdsourcing platforms was collected. The authors tested the hypotheses using Warp PLS 7.0. Warp PLS 7.0 uses partial least square (PLS) structured equation modeling (SEM) and has been used widely to test path analytical models.

Findings

Results reveal that the information quality plays an essential role in the SMD, thereby fostering gig workers' productivity and engagement, which could be improved in the presence of game elements due to their nature of supporting rewards. However, engagement in the platform leading to improved productivity was not supported.

Practical implications

The study lays practical foundations for crowdsourcing platforms as it sets the importance of both IQ and dialogic communication channels. The two-way communication between gig workers and the platforms via accurate, timely, valuable and reliable information forms the key to the task's success. The introduction of the right game element will help to achieve better engagement and productivity.

Originality/value

This study also offers a new dimension to media richness theory and dialogic public relation theory in crowdsourcing platforms. The results would help platform designers and gig employers understand gig workers' quality and performance in a platform economy. The study uniquely positions itself in the area of crowdsourcing platforms by using game elements.

A decade of systematic literature review on Airbnb: the sharing economy from a multiple stakeholder perspective

Airbnb, which launched its business in 2009, has experienced explosive growth by creating value through the sharing economy business model. The Airbnb business model helps property owners exploit underutilized assets. However, along with its rapid growth, controversies have arisen among many stakeholders, especially the traditional hotel industry, communities, and policymakers. This study reviews academic articles to pinpoint the factors involved in the relationships among Airbnb and its multiple stakeholders. The aim is to identify the benefits, drawbacks, and issues surrounding Airbnb. The analysis is based on the perspectives of six Airbnb stakeholders: guests, hosts, employees, communities, competitors, and policymakers. A variety of scholarly journals indexed in the Scopus database were reviewed, with 282 included in the final analysis. The analysis will be useful for academics, practitioners, and policymakers alike, as it summarizes the Airbnb relevant actors, identifies key factors that influence stakeholder behavior, and assesses the power and level of influence of each stakeholder. Ultimately, the study points to potential directions for future research on Airbnb.

Public Behavior as an Output of E-Government Service: The Role of New Technology Integrated in E-Government and Antecedent of Relationship Quality

Electronic government has played an essential role in citizen policy strategy, especially during the COVID-19 pandemic. As part of citizen and government interaction, companies can utilize electronic government facilities to establish direct communication and maintain service quality by integrating new technologies and facilities in electronic government which can provide service via online, embedded with social media integration, implemented with mobile service, using personalized user accounts, e-participation service integration, in combination with ongoing citizen information. Therefore, electronic government facilities must adapt and choose the right content to promote strong citizen relations, leading to citizen behavior to make long-term use of electronic government facilities. This study considered and integrated the latest technology from electronic government and associated it with connection quality. Sustainable motives and faithfulness were used to quantify the quality of citizen relations to electronic government facilities, which can influence the results of citizen behavior. The SmartPLS 2 software was used to quantify and estimate 425 online questionnaire surveys. The results showed that of the 12 hypotheses, eight hypotheses were declared to have a significant effect, consisting of H1, H2, H6–H8, and H10–H12, while the other four hypotheses were stated to have no significant effect, namely H3–H5, and H9. This study was used to guide the government as a provider of electronic government facilities to adapt and provide content following the dimensions of the latest technology to achieve goals and produce sustainable implementation.

Impulse Buying Behaviors in Live Streaming Commerce Based on the Stimulus-Organism-Response Framework

Live streaming commerce, which evolved from social commerce, has continued to flourish rapidly over the past few years in China. It is a new business model that allows vendors to directly face and interact with consumers. This study focuses on the impulsive buying behavior on consumers in live streaming commerce. We proposed a research model based on the stimulus organism response (S-O-R) framework to explore the reaction and behavior of consumers after certain stimuli factors. A total of 433 valid sample questionnaires with the shopping experience in the live streaming platform were taken. This research adopted PLS-SEM statistical analysis as an empirical research evaluation. After the empirical investigation, we found that perceived enjoyment positively affects the urge to buy impulsively. Perceived usefulness positively affects perceived enjoyment. However, perceived usefulness does not positively affect the urge to buy impulsively. Attractiveness and expertise positively affect perceived enjoyment. Product usefulness and purchase convenience positively affect perceived usefulness. We found that consumers in live streaming commerce are easier to have impulsive buying through the presentation and urging of the live streamer in a short period. In this paper, we build a model for impulsive buying in live streaming commerce. We verify this model under the Chinese context. The findings of this paper provide concrete suggestions to vendors.

Customer Behavior as an Outcome of Social Media Marketing: The Role of Social Media Marketing Activity and Customer Experience

Social media has been playing an important role in marketing strategy. As a part of social media, social networking sites (SNS) can be utilized by enterprises to create direct communication and good relationships with their customers. Therefore, enterprises using SNS have to select the right marketing content to enhance strong customer relationships, which lead to their behavior generating sustainable performance for enterprises. This research considered social media marketing activity (SMMA) and Customer Experience (CX) to measure the customer’s relationship quality, which can impact customer behavioral outcomes, which are purchase intention, loyalty intention, and participation intention. The 413 online questionnaire surveys were measured and analyzed using SmartPLS 3. The results show that SMMA and CX have a significant influence on the customer relationship quality, which also leads to a positive impact on customer behavioral outcomes. This research guides enterprises that SNS’s marketing content has to follow SMMA and CX dimensions to achieve the marketing objective and generate sustainable performance for enterprises.

An Empirical Investigation of the Online Commentary Behavior Dynamics Based on the Marginal Utility Theory

As a typical online word-of-mouth, online commentary has an important impact on consumer purchasing decisions. Therefore, it is very important to study the behavior of consumer online commentary. In this study, the user's behavior is quantitatively analyzed based on the real data of the website, and a user behavior dynamics model under the influence of marginal utility is constructed. The study found that the user comment behavior is subject to power law distribution, different levels of user activity are different and there is a tendency to rise first and then decline. This study provides a theoretical basis for the website to adjust customer relationship management in a timely manner.

Analysing online reviews to investigate customer behaviour in the sharing economy

Purpose

The purpose of this paper is to investigate attributes that influence Airbnb customer experience by analysing online reviews from users staying in London. It presents a text mining approach to identify a set of broad themes from the textual reviews. It aims to highlight the customers’ changing perception of good quality of accommodations.

Design/methodology/approach

This paper analyses 169,666 reviews posted by Airbnb users who stayed in London from 2011 to 2015. Hierarchical clustering algorithms are used to group similar words into clusters based on their co-occurrence. Longitudinal analysis and seasonal analysis are conducted for a more coherent understanding of the Airbnb customer behaviour.

Findings

This paper provides empirical insights about how Airbnb users’ mindset of good quality of accommodations changes over a five-year timespan and in different seasons. While there are common attributes considered important throughout the years, exclusive attributes are discovered in particular years and seasons.

Research limitations/implications

This paper is confined to Airbnb experiences in London. Researchers are encouraged to apply the proposed methodology to investigate Airbnb experiences in other cities and detect any change in customer perception of quality stay.

Practical implications

This paper offers implications for the prioritisation of customer concerns to design and improve services offerings and for alignment of services with customer expectations in the sharing economy.

Originality/value

This paper fulfils an identified need to examine the change in customer expectation across the timespan and seasons in the case of Airbnb. It also contributes by illustrating how big data can be used to uncover key attributes that facilitate the engagement with the sharing economy.