Why people participate in the sharing economy: an empirical investigation of Uber
Open accessAbstract
Purpose The purpose of this paper is to examine the effects of inhibiting, motivating, and technological factors on users’ intention to participate in the sharing economy. Design/methodology/approach A self-reported online survey was conducted among Uber users in Hong Kong. A total of 295 valid responses were collected. The research model was empirically tested using the structural equation modeling technique. Findings The results suggested that perceived risks, perceived benefits, trust in the platform, and perceived platform qualities were significant predictors of users’ intention to participate in Uber. Research limitations/implications This study bridged the research gaps in the sharing economy literature by examining the effects of perceived risks, perceived benefits, and trust in the platform on users’ intention to participate in the sharing economy. Moreover, this study enriched the extended valence framework by incorporating perceived platform qualities into the research model, responding to the calls for the inclusion of technological variables in information systems research. Practical implications The findings provided practitioners with insights into enhancing users’ intention to participate in the sharing economy. Originality/value This study presented one of the first attempts to systematically examine the effects of inhibiting, motivating, and technological factors on users’ intention to participate in the sharing economy.
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Claims the paper makes
1 of 34 cited sources checked · 0 supported · 0 flagged · accuracy not yet measured
- Premisecitation
The positive relationship between platform qualities and trust has been well-validated across a variety of e-commerce contexts.
“The positive relationship between platform qualities and trust has been well-validated across a variety of e-commerce contexts”
Quote in the paperSubstantial claim1 of 3 sources checked- cites Chen et al., 2015a
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Lim et al., 2009
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Muhammad et al., 2014 source
The results section (“We used SPSS and AMOS-IBM version 21”) reports a positive relationship between website information quality and e-trust in Chinese online retailing. But §2.1 notes that a cited study found a positive effect of information design on trust in Canada, not in China or Germany. This paper therefore supports a relationship for one platform quality in its studied context, not the claim that platform qualities have been well-validated across a variety of contexts. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Findingown data
Trust in the platform was a significant predictor of users' intention to participate in Uber.
“The results suggested that perceived risks, perceived benefits, trust in the platform, and perceived platform qualities were significant predictors of users' intention to participate in Uber.”
Quote in the paperSubstantial claim - Findingown data
Perceived risks were a significant predictor of users' intention to participate in Uber.
“The results suggested that perceived risks, perceived benefits, trust in the platform, and perceived platform qualities were significant predictors of users' intention to participate in Uber.”
Quote in the paperSubstantial claim - Findingown data
Perceived benefits were a significant predictor of users' intention to participate in Uber.
“The results suggested that perceived risks, perceived benefits, trust in the platform, and perceived platform qualities were significant predictors of users' intention to participate in Uber.”
Quote in the paperSubstantial claim - Findingown data
Perceived platform qualities were a significant predictor of users' intention to participate in Uber.
“The results suggested that perceived risks, perceived benefits, trust in the platform, and perceived platform qualities were significant predictors of users' intention to participate in Uber.”
Quote in the paperSubstantial claim
- Findingown data
The research model explained 51% of the variance of users' intention to participate in Uber.
“The research model explained 51% of the variance of users' intention to participate in Uber.”
Quote in the paperNot a substantial claim - Findingown data
The demographic variables age, gender, education level, and income exhibited no significant effects on users' intention to participate in Uber.
“the demographic variables, i.e., age, gender, education level and income, exhibited no significant effects on users' intention to participate in Uber.”
Quote in the paperSubstantial claim - Findingown data
The square roots of all average variances extracted were larger than all cross-correlations.
“As illustrated in Table 3, the square roots of all of the AVEs were larger than all of the cross-correlations”
Quote in the paperSubstantial claim - Findingown data
In the cross-loadings table, indicator loadings were larger than cross-loadings.
“The assessments of the cross-loadings table (Appendix B), with indicator loadings larger than crossloadings”
Quote in the paperSubstantial claim - Findingcitation
The heterotrait-monotrait values range between 0.076 and 0.77, which are below the threshold of 0.90.
“the HTMT values range between 0.076 to 0.77, which are well below the threshold of 0.90 (Hair et al., 2017)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hair et al., 2017
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Trust has been shown to be an effective means to reduce users' perceived risks in online interactions.
“trust has been shown to be an effective means to reduce users' perceived risks in online interactions”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Metzger, 2004
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Study design and conductown data
A total of 295 valid responses were collected from Uber users in Hong Kong.
“A total of 295 valid responses were collected.”
- Also stated in: § 4.1 Research Design · plain
“yielding a sample of 295 responses for subsequent statistical analyses”
Quote in the paperSubstantial claim - Also stated in: § 4.1 Research Design · plain
- Study design and conductown data
Correlations between the principal constructs and a marker variable (empathy) were either non-significant or below 0.2.
“the correlations between the principal constructs and empathy were either non-significant or below 0.2”
Quote in the paperSubstantial claim - Study design and conductown data
There were no extremely high correlations in the correlation matrix.
“there were no extremely high correlations in the correlation matrix”
Quote in the paperSubstantial claim - Study design and conductown data
The first factor in Harman's single-factor test accounted for only 38.65% of the variance.
“The first factor accounted for only 38.65% of the variance.”
Quote in the paperSubstantial claim - Interpretationown data
Trust in the platform had a positive and significant effect on perceived benefits (β = 0.56, p < 0.001).
“a positive and significant effect on perceived benefits (β = 0.56, p < 0.001)”
Quote in the paperSubstantial claim - Interpretationown data
Perceived risks had a negative and significant effect on users' intention to participate (β = -0.10, p < 0.05).
“Perceived risks exerted a negative and significant effect on users' intention to participate (β = -0.10,p < 0.05)”
Quote in the paperSubstantial claim - Interpretationown data
Perceived benefits had a positive and significant effect on users' intention to participate (β = 0.46, p < 0.001).
“Perceived benefits exerted a positive and significant effect on users' intention to participate (β = 0.46, p < 0.001)”
Quote in the paperSubstantial claim - Interpretationown data
Perceived benefits exert the strongest influence on users' intention to participate in the sharing economy, with a medium effect size.
“The result suggested that perceived benefits exert the strongest influence on users' intention to participate in the sharing economy, with a medium effect size.”
Quote in the paperSubstantial claim - Interpretationown data
Trust in the platform had a positive and significant effect on users' intention to participate (β = 0.31, p < 0.001).
“trust in the platform exerted a positive and significant effect on users' intention to participate (β = 0.31, p < 0.001)”
Quote in the paperSubstantial claim - Interpretationown data
Trust in the platform had a negative and significant effect on perceived risks (β = -0.27, p < 0.001).
“Trust in the platform exerted a negative and significant effect on perceived risks (β = -0.27,p < 0.001)”
Quote in the paperSubstantial claim - Interpretationown data
All of the hypotheses were supported.
“The obtained path coefficients and levels of significance indicated that all of the hypotheses were supported.”
Quote in the paperSubstantial claim - Interpretationown data
The constructs demonstrate adequate discriminant validity.
“suggesting adequate discriminant validity”
- Also stated in: § 5.3.1 Reliability and Validity of Constructs · boosted
“provided further evidence to the discriminant validity of constructs”
- Also stated in: § 5.3.1 Reliability and Validity of Constructs · hedged
“further suggesting adequate discriminant validity of constructs”
Quote in the paperSubstantial claim - Also stated in: § 5.3.1 Reliability and Validity of Constructs · boosted
- Interpretationreasoning
Qualities of sharing economy platforms should have a critical role to play in determining user participation.
“Given that contemporary sharing economy services are enabled by information technologies (e.g., the online platforms of Uber and Airbnb), qualities of such platforms should have a critical role to play in determining user participation.”
Quote in the paperSubstantial claim- Rests on an assumption: Contemporary sharing economy services are enabled by information technologies.
- Interpretationown data
Both perceived risks and perceived benefits are crucial in determining users' intention to participate in the sharing economy.
“we empirically show that both perceived risks and perceived benefits are crucial in determining users' intention to participate in the sharing economy.”
Quote in the paperSubstantial claim - Premisereasoning
The success of sharing economy services hinges on the quality of the service platforms.
“the success of sharing economy services hinge on the quality of the service platforms”
Quote in the paperSubstantial claim0 of 1 sources checked- cites McAlone, 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
The measurement model has adequate convergent validity.
“suggesting adequate convergent validity”
Quote in the paperSubstantial claim - Premisecitation
The positive relationship between trust in the service provider and perceived benefits has been corroborated across e-commerce contexts.
“The positive relationship between trust in the service provider and perceived benefits has been corroborated across e-commerce contexts”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Lin et al., 2014
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Mou et al., 2016 source
- cites Lu et al., 2011
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- May combine two claims. 11
- Classified as probably not a substantial claim. 23
May combine two claims.
Findingown dataThe effect size f2 values for the relationships between perceived benefits, perceived risks, trust in the platform, and users' intention to participate are 0.182, 0.015, and 0.036, respectively.
“Effect size analysis showed that the f 2 values involved in the relationships between perceived benefits, perceived risks, trust in the platform, and users' intention to participate are 0.182, 0.015, and 0.036, respectively.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAll latent constructs exceed the recommended thresholds for convergent validity, with composite reliability values ranging from 0.89 to 0.95, average variance extracted values ranging from 0.72 to 0.87, and all item loadings exceeding 0.70.
“As illustrated in Table 2, all of the latent constructs exceed the recommended thresholds, with CR values ranging from 0.89 to 0.95, AVE values ranging from 0.72 to 0.87, and all item loadings exceeding 0.70”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAn expert panel of IS researchers assessed the face validity of the preliminary measurement items.
“We invited an expert panel of IS researchers to assess the face validity of the preliminary measurement items”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationPerceived risks and perceived benefits are two fundamental aspects of consumer decision-making.
“perceived risks and perceived benefits are two fundamental aspects of consumer decision-making”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Peter and Tarpey, 1975 source
Classified as probably not a substantial claim.
PremisecitationThe extended valence framework indicates that perceived risks, perceived benefits, and trust have direct effects on consumers' purchase intention.
“The extended valence framework indicates that perceived risks, perceived benefits, and trust have direct effects on consumers' purchase intention.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Kim et al., 2009 source
Classified as probably not a substantial claim. May combine two claims.
PremisecitationThe extended valence framework suggests that trust alters consumers' perceptions of risks negatively and benefits positively.
“the extended framework suggests that trust alters consumers' perceptions of risks negatively and benefits positively”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Kim et al., 2009 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationGender, age, education level and income were included as control variables in the research model.
“we included gender, age, education level and income as control variables in the research model”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenRespondents who did not have any experience with Uber were screened out.
“Respondents who did not have any experience with Uber were screened out.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductown dataThe preliminary measurement items were pretested for comprehensiveness, clarity, and desirable psychometric properties.
“which were then pretested for comprehensiveness, clarity, and desirable psychometric properties”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningResponses from those who took an exceptionally short time to complete the survey were discarded to ensure the quality of the data.
“Responses from those who took an exceptionally short time to complete the survey were also discarded to ensure the quality of the data.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataThe items in the dataset loaded significantly onto more than one principal component, indicating no single dominant factor.
“the items in the dataset loaded significantly onto more than one principal component, indicating no single dominant factor”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenOther than minor modifications in formatting, no major problems surfaced during the pretest.
“Other than minor modifications in formatting, no major problems surfaced during the pretest.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductreasoningMultiple items were used to assess each construct to ensure construct validity and reliability.
“We used multiple items to assess each construct to ensure construct validity and reliability.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationPrevious empirical findings showed that trust served as an important risk-mitigating factor in e-commerce and e-government transactions.
“Previous empirical findings showed that trust served as an important risk-mitigating factor in e-commerce and e-government transactions”
Quote in the paperSubstantial claim0 of 3 sources checkedClassified as probably not a substantial claim.
PremisecitationThe heterotrait-monotrait threshold is 0.90.
“well below the threshold of 0.90 (Hair et al., 2017)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hair et al., 2017
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationConvenience and availability, monetary saving, and expanded mobility options were essential motivators for participating in peer-to-peer ridesharing services.
“Ballus-Armet et al. (2014) conducted a survey regarding public perception of peer-to-peer ridesharing in the US, and found that convenience and availability, monetary saving, and expanded mobility options were essential motivators for participating in peer-to-peer ridesharing services.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Ballus-Armet et al., 2014 source
Classified as probably not a substantial claim. May combine two claims.
PremisecitationConvergent validity is assessed using three criteria: composite reliability should be at least 0.70, average variance extracted should be at least 0.50, and all item loadings should exceed 0.70.
“Convergent validity is assessed using three criteria: (1) the composite reliability (CR) should be at least 0.70 (Chin, 1998), (2) the average variance extracted (AVE) should be at least 0.50 (Fornell and Larcker, 1981), and (3) all of the item loadings should exceed 0.70 (Fornell and Larcker, 1981;Hair et al., 2009).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Chin, 1998
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Fornell and Larcker, 1981
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Hair et al., 2009
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationResearchers have repeatedly called for the inclusion of technological variables in information systems research.
“researchers have repeatedly called for the inclusion of technological variables in information systems research (Hong et al., 2014).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Hong et al., 2014 source
Classified as probably not a substantial claim.
PremisecitationSecurity risk has been found a salient inhibitor to various online services.
“Security risk has been found a salient inhibitor to various online services”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Lin and Lu, 2015 source
- cites Powell, 2009
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Tai and Ku, 2013
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPerceived platform qualities and trust in the platform have been found to be important factors in previous e-commerce literature.
“perceived platform qualities and trust in the platform have been found to be important factors in previous e-commerce literature (Beldad et al., 2012;Cheung and Lee, 2006;Gefen et al., 2003).”
Quote in the paperNot a substantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationEconomic reward and enjoyment were significant antecedents of user participation in the sharing economy.
“Hamari et al. (2015) found that economic reward and enjoyment were significant antecedents of user participation in the sharing economy.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Hamari et al., 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim.
PremisecitationDiscriminant validity is demonstrated when the square root of the average variance extracted for each construct is greater than the correlations between it and all other constructs.
“is demonstrated when the square root of the AVE for each construct is greater than the correlations between it and all of the other constructs.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Fornell and Larcker, 1981
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim.
PremisecitationNegative relationships between privacy risk and online activities have been found in previous studies.
“negative relationships between privacy risk and online activities have been found in previous studies”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Hajli and Lin, 2014
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Pavlou et al., 2007 source
May combine two claims.
Interpretationown dataPerceived risks, perceived benefits, and trust in the platform are important determinants of users' intention to participate in Uber.
“All the hypotheses were supported, providing strong statistical evidence that perceived risks, perceived benefits, and trust in the platform are important determinants of users' intention to participate in Uber.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationEnjoyment and economic reward are important intrinsic and extrinsic motivators that determine users' intention to participate in the sharing economy.
“enjoyment and economic reward are important intrinsic and extrinsic motivators that determine users' intention to participate in the sharing economy”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hamari et al., 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn crowdsourcing, project attributes and competition situation are important determinants of user participation added above intrinsic and extrinsic motivations.
“considering crowdsourcing, project attributes (e.g., duration and difficulty level) and competition situation (e.g., competition intensity and market price) are important determinants of user participation added above the well-studied intrinsic and extrinsic motivations (Shao et al., 2012).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Shao et al., 2012 source
May combine two claims.
Interpretationown dataPlatform qualities are the salient drivers that instill the perception of trust in the platform, which is considered the core of technology-enabled services.
“platform qualities are the salient drivers that instill the perception of trust in the platform, which is considered the core of technology-enabled services.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
PremisecitationThere are plausible means to instill users' trust in sharing economy platforms, such as adopting actionable rating systems and providing social proof.
“there are also numbers of plausible means to instill users' trust in sharing economy platforms, such as adopting actionable rating systems and providing social proof (Iyer, 2016).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Iyer, 2016
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Interpretationown dataPerceived platform qualities instill users' trust in the platform, playing a substantial role in influencing users' intention to participate in the sharing economy.
“In addition, perceived platform qualities instill users' trust in the platform, playing a substantial role in influencing users' intention to participate in the sharing economy.”
Quote in the paperSubstantial claim
The paper relies on this without support.
The provision of sharing economy services relies heavily on information and internetworking technologies.
“Since the provision of sharing economy services hinges on the information and networking technologies”
The paper relies on this without support.
Participating in different sharing economy services often requires users to enter into transactions with strangers.
“participating in different sharing economy services, such as Uber or Airbnb, often requires users to enter into such transactions with strangers”
The paper relies on this without support.
The sharing economy services, such as Uber and Airbnb, can be provided at a much lower price compared to their traditional counterparts.
“the sharing economy services, such as Uber and Airbnb, can be provided at a much lower price compared to their traditional counterparts”
The paper relies on this without support.
Trust reflects users' willingness to take risks to fulfill their needs.
“Trust reflects users' willingness to take risks to fulfill their needs.”
The paper relies on this without support.
Consumers in the e-commerce context always concern that the sellers may not adhere to their transactional obligations.
“Consumers in the ecommerce context always concern that the sellers may not adhere to their transactional obligations.”
The paper relies on this without support.
The target audience of Uber users is predominantly Internet-savvy.
“Given the predominantly Internet-savvy target audience of Uber users”
The paper relies on this without support.
Past studies on the sharing economy have been qualitative in nature or focused on examining motivating factors of users' participation.
“past studies on the sharing economy have been qualitative in nature or focused on examining motivating factors of users' participation in the sharing economy.”
The paper relies on this without support.
The role of inhibiting factors in user participation in the sharing economy has not received commensurate scholarly attention.
“the role of inhibiting factors in user participation in the sharing economy has not received commensurate scholarly attention.”
The paper relies on this without support.
Contemporary sharing economy services are enabled by information technologies.
“contemporary sharing economy services are enabled by information technologies (e.g., the online platforms of Uber and Airbnb)”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Trust-item loading differs between the two tables
MinorTable 2 gives TRU3 a loading of 0.75, while the TRU column of Appendix B gives it 0.8. The difference exceeds rounding to the displayed precision.
“TRU3 0.75 12.40 4.58 1.12”
“TRU3 0.29 0.37 0.53 0.52 -0.09 -0.18 0.8 0.45”
Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314 · see citing works
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190 · see citing works
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194 · see citing works
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035 · see citing works
(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737 · see citing works
(2014) · DigitalCommons - Kennesaw State University (Kennesaw State University) · Cited by 12,785 · see citing works
The DeLone and McLean Model of Information Systems Success: A Ten-Year Update
(2003) · Journal of Management Information Systems · doi:10.1080/07421222.2003.11045748 · Cited by 11,791 · see citing works
Accounting for common method variance in cross-sectional research designs
Lindell, M. K., & Whitney, D. J. (2001) · Journal of Applied Psychology · doi:10.1037/0021-9010.86.1.114 · Cited by 8,490 · see citing works
Extrinsic and Intrinsic Motivation to Use Computers in the Workplace <sup>1</sup>
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.1992.tb00945.x · Cited by 6,231 · see citing works
Developing and validating trust measures for e-commerce: an integrative typology
McKnight, D. H., Choudhury, V., & Kacmar, C. (2002) · Information Systems Research · doi:10.1287/isre.13.3.334.81 · Cited by 5,550 · see citing works
Harman, H. H. (1960) · Cited by 5,148 · see citing works
Venkatesh, V., & Morris, M. G. (2000) · MIS Quarterly · doi:10.2307/3250981 · Cited by 4,382 · see citing works
User Acceptance of Hedonic Information Systems1
van der Heijden, H. (2004) · MIS Quarterly · doi:10.2307/25148660 · Cited by 3,850 · see citing works
The sharing economy: Why people participate in collaborative consumption
Hamari, J., Sjöklint, M., & Ukkonen, A. (2016) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23552 · Cited by 3,439 · see citing works
From the Editors: Common method variance in international business research
Chang, S., van Witteloostuijn, A. C., & Eden, L. (2010) · Journal of International Business Studies · doi:10.1057/jibs.2009.88 · Cited by 3,365 · see citing works
Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model
Malhotra, N. K., Kim, S. S., & Agarwal, J. (2004) · Information Systems Research · doi:10.1287/isre.1040.0032 · Cited by 3,173 · see citing works
You are what you can access: Sharing and collaborative consumption online
Belk, R. (2014) · Journal of Business Research · doi:10.1016/j.jbusres.2013.10.001 · Cited by 2,951 · see citing works
Pavlou, P. A., Liang, H., & Xue, Y. (2007) · MIS Quarterly · doi:10.2307/25148783 · Cited by 2,646 · see citing works
The Rise of the Sharing Economy: Estimating the Impact of Airbnb on the Hotel Industry
Zervas, G., Proserpio, D., & Byers, J. W. (2017) · Journal of Marketing Research · doi:10.1509/jmr.15.0204 · Cited by 2,376 · see citing works
Value-based Adoption of Mobile Internet: An empirical investigation
Kim, H.-W., Chan, H. C., & Gupta, S. (2007) · Decision Support Systems · doi:10.1016/j.dss.2005.05.009 · Cited by 2,084 · see citing works
Lee, M.-C. (2009) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2008.11.006 · Cited by 2,037 · see citing works
Access-Based Consumption: The Case of Car Sharing: Table 1.
Bardhi, F., & Eckhardt, G. M. (2012) · Journal of Consumer Research · doi:10.1086/666376 · Cited by 2,015 · see citing works
Imagined Communities: Awareness, Information Sharing, and Privacy on the Facebook
Acquisti, A., & Gross, R. (2006) · Lecture Notes in Computer Science · doi:10.1007/11957454_3 · Cited by 1,895 · see citing works
An Empirical Investigation of the Factors Affecting Data Warehousing Success1
Wixom, B. H., & Watson, H. J. (2001) · MIS Quarterly · doi:10.2307/3250957 · Cited by 1,442 · see citing works
Möhlmann, M. (2015) · Journal of Consumer Behaviour · doi:10.1002/cb.1512 · Cited by 1,325 · see citing works
Detecting and Deterring Insufficient Effort Responding to Surveys
Huang, J. L. W., Curran, P. G., Keeney, J., Poposki, E. M., & DeShon, R. P. (2011) · Journal of Business and Psychology · doi:10.1007/s10869-011-9231-8 · Cited by 1,315 · see citing works
Awad, N. F., & Krishnan, M. S. (2006) · MIS Quarterly · doi:10.2307/25148715 · Cited by 1,252 · see citing works
Developing and validating an instrument for measuring user-perceived web quality
Aladwani, A. M., & Palvia, P. (2002) · Information & Management · doi:10.1016/s0378-7206(01)00113-6 · Cited by 1,164 · see citing works
Kim, D. J., Ferrin, D. L., & Rao, H. R. (2009) · Information Systems Research · doi:10.1287/isre.1080.0188 · Cited by 990 · see citing works
Working for Free? Motivations for Participating in Open-Source Projects
Alexander Hars, S. O. (2002) · International Journal of Electronic Commerce · doi:10.1080/10864415.2002.11044241 · Cited by 953 · see citing works
Electronic Commerce: A Manager's Guide
Kalakota, R., & Whinston, A. B. (1996) · Medical Entomology and Zoology · Cited by 946 · see citing works
An Empirical Investigation of the Factors Affecting Data Warehousing Success
Kim, B.-G. (2005) · Cited by 888 · see citing works
Lu, Y., Yang, S., Chau, P. Y. K., & Cao, Y. (2011) · Information & Management · doi:10.1016/j.im.2011.09.006 · Cited by 751 · see citing works
A Comparative Analysis of Three Consumer Decision Strategies
Peter, J. P., & Tarpey, Sr. (1975) · Journal of Consumer Research · doi:10.1086/208613 · Cited by 697 · see citing works
An empirical study of wearable technology acceptance in healthcare
Gao, Y., Li, H., & Luo, Y. (2015) · Industrial Management & Data Systems · doi:10.1108/imds-03-2015-0087 · Cited by 673 · see citing works
Community Structure and Collaborative Consumption: A Routine Activity Approach
Felson, M., & Spaeth, J. L. (1978) · American Behavioral Scientist · doi:10.1177/000276427802100411 · Cited by 619 · see citing works
Internet Users’ Information Privacy-Protective Responses: A Taxonomy and a Nomological MODEL1
Son, J.-Y., & Kim, S. S. (2008) · MIS Quarterly · doi:10.2307/25148854 · Cited by 614 · see citing works
A Framework and Guidelines for Context-Specific Theorizing in Information Systems Research
Hong, W., Chan, F. K. Y., Thong, J. Y. L., Chasalow, L. C., & Dhillon, G. (2014) · Information Systems Research · doi:10.1287/isre.2013.0501 · Cited by 609 · see citing works
The Rise of the Sharing Economy: Estimating the Impact of Airbnb on the Hotel IndustryPreprint
Zervas, G., Proserpio, D., & Byers, J. (2013) · SSRN Electronic Journal · doi:10.2139/ssrn.2366898 · Cited by 563 · see citing works
Working for free? Motivations of participating in open source projects
Hars, A., & Ou, S. (2005) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2001.927045 · Cited by 502 · see citing works
The sharing economy: Why people participate in collaborative consumptionPreprint
Hamari, J., Sjöklint, M., & Ukkonen, A. (2013) · SSRN Electronic Journal · doi:10.2139/ssrn.2271971 · Cited by 470 · see citing works
Hsu, C.-L., Chang, K.-C., & Chen, M.-C. (2012) · Information Systems and e-Business Management · doi:10.1007/s10257-011-0181-5 · Cited by 451 · see citing works
Privacy, Trust, and Disclosure: Exploring Barriers to Electronic Commerce
Metzger, M. J. (2006) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2004.tb00292.x · Cited by 426 · see citing works
The impact of website quality dimensions on customer satisfaction in the B2C e-commerce context
Lin, H.-F. (2007) · Total Quality Management & Business Excellence · doi:10.1080/14783360701231302 · Cited by 410 · see citing works
A customer value, satisfaction, and loyalty perspective of mobile application recommendations
Xu, C., Peak, D. A., & Prybutok, V. R. (2015) · Decision Support Systems · doi:10.1016/j.dss.2015.08.008 · Cited by 369 · see citing works
The Promise of the Sharing Economy among Disadvantaged Communities
Dillahunt, T. R., & Malone, A. R. (2015) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2702123.2702189 · Cited by 334 · see citing works
Hajli, N., & Lin, X. (2016) · Journal of Business Ethics · doi:10.1007/s10551-014-2346-x · Cited by 321 · see citing works
Sun, Y., Wang, N., Shen, X., & Zhang, X. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.06.006 · Cited by 305 · see citing works
The effect of flow experience on mobile SNS users' loyalty
Zhou, T., Li, H., & Yong, L. (2010) · Industrial Management & Data Systems · doi:10.1108/02635571011055126 · Cited by 296 · see citing works
Hwang, J., & Griffiths, M. A. (2017) · Journal of Consumer Marketing · doi:10.1108/jcm-10-2015-1560 · Cited by 288 · see citing works
Self-disclosure in social networking sites
Cheung, C. M. K., Lee, Z. W. Y., & Chan, T. K. H. (2015) · Internet Research · doi:10.1108/intr-09-2013-0192 · Cited by 277 · see citing works
Self-citationCommercial orientation in grassroots social innovation: Insights from the sharing economy
Martin, C. J., Upham, P., & Budd, L. C. (2015) · Ecological Economics · doi:10.1016/j.ecolecon.2015.08.001 · Cited by 260 · see citing works
Predicting and explaining the adoption of online trading: An empirical study in Taiwan
Lee, M.-C. (2009) · Decision Support Systems · doi:10.1016/j.dss.2009.02.003 · Cited by 252 · see citing works
Transaction costs and the sharing economy
Henten, A., & Windekilde, I. M. (2016) · Info · doi:10.1108/info-09-2015-0044 · Cited by 235 · see citing works
Kuan, H.-H., Bock, G., & Vathanophas, V. (2006) · Behaviour and Information Technology · doi:10.1080/01449290600801959 · Cited by 218 · see citing works
Predicting mobile social network acceptance based on mobile value and social influence
Lin, K.-Y., & Lu, H.-P. (2015) · Internet Research · doi:10.1108/intr-01-2014-0018 · Cited by 218 · see citing works
Roles of perceived value and individual differences in the acceptance of mobile coupon applications
Liu, F., Zhao, X., Chau, P. Y. K., & Tang, Q. (2015) · Internet Research · doi:10.1108/intr-02-2014-0053 · Cited by 218 · see citing works
Understanding consumer trust in Internet shopping: A multidisciplinary approach
Cheung, C. M. K., & Lee, M. K. O. (2006) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.20312 · Cited by 205 · see citing works
Understanding the evolution of consumer trust in mobile commerce: a longitudinal study
Lin, J., Wang, B., Wang, N., & Lu, Y. (2013) · Information Technology and Management · doi:10.1007/s10799-013-0172-y · Cited by 201 · see citing works
The joint moderating role of trust propensity and gender on consumers’ online shopping behavior.
Chen, Y., Yan, X., Fan, W., & Gordon, M. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2014.10.020 · Cited by 200 · see citing works
Collaborative consumption: business model opportunities and barriers for fashion libraries
Pedersen, E. R. G., & Netter, S. (2015) · Journal of Fashion Marketing and Management · doi:10.1108/jfmm-05-2013-0073 · Cited by 182 · see citing works
The conceptualization of trust, risk and their electronic commerce: the need for clarifications
Gefen, D., Srinivasan Rao, V., & Tractinsky, N. (2003) · 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the · doi:10.1109/hicss.2003.1174442 · Cited by 182 · see citing works
Understanding the determinants of mobile payment continuance usage
Zhou, T. (2014) · Industrial Management & Data Systems · doi:10.1108/imds-02-2014-0068 · Cited by 178 · see citing works
Chen, C. (2010) · Information & Management · doi:10.1016/j.im.2010.06.005 · Cited by 165 · see citing works
Ballús-Armet, I., Shaheen, S. A., Clonts, K., & Weinzimmer, D. (2014) · Transportation Research Record: Journal of the Transportation Research Board · doi:10.3141/2416-04 · Cited by 157 · see citing works
E-commerce web site loyalty: A cross cultural comparison
Chen, V., Yen, D. C., Pornpriphet, W., & Widjaja, A. E. (2014) · Information Systems Frontiers · doi:10.1007/s10796-014-9499-0 · Cited by 131 · see citing works
The influence of internet‐retailing factors on price expectations
Grewal, D., Munger, J. L., Iyer, G. R., & Levy, M. (2003) · Psychology and Marketing · doi:10.1002/mar.10083 · Cited by 112 · see citing works
(2013) · Journal of electronic commerce research · Cited by 102 · see citing works
Health beliefs and the valence framework in health information seeking behaviors
Mou, J., Shin, D.-H., & Cohen, J. (2016) · Information Technology & People · doi:10.1108/itp-06-2015-0140 · Cited by 102 · see citing works
(2008) · Medical Entomology and Zoology · Cited by 98 · see citing works
Factors affecting participation of solvers in crowdsourcing: an empirical study from China
Shao, B., Shi, L., Xu, B., & Liu, L. (2012) · Electronic Markets · doi:10.1007/s12525-012-0093-3 · Cited by 97 · see citing works
Many-to-many exchange without money: why people share their resources
McArthur, E. (2014) · Consumption Markets & Culture · doi:10.1080/10253866.2014.987083 · Cited by 94 · see citing works
The impact of reference effects on online purchase intention of agricultural products
Zhao, X., Deng, S., & Zhou, Y. (2017) · Internet Research · doi:10.1108/intr-03-2016-0082 · Cited by 86 · see citing works
Understanding continuance usage of mobile sites
Zhou, T. (2013) · Industrial Management & Data Systems · doi:10.1108/imds-01-2013-0001 · Cited by 75 · see citing works
Binninger, A., Ourahmoune, N., & Robert, I. (2015) · Journal of Applied Business Research (JABR) · doi:10.19030/jabr.v31i3.9229 · Cited by 71 · see citing works
An economy of access is opening for business: five strategies for success
Denning, S. (2014) · Strategy and Leadership · doi:10.1108/sl-05-2014-0037 · Cited by 60 · see citing works
Qutaishat, F. T. (2012) · International Business Research · doi:10.5539/ibr.v6n1p97 · Cited by 50 · see citing works
The distinct roles of dedication-based and constraint-based mechanisms in social networking sites
Kim, B., & Min, J.-Y. (2015) · Internet Research · doi:10.1108/intr-11-2013-0253 · Cited by 49 · see citing works
THE SOCIAL SUSTAINABILITY OF THE SHARING ECONOMY
Nica, E., & Potcovaru, A.-M. (2015) · Economics Management and Financial Markets · Cited by 44 · see citing works
Beldad, A., van der Geest, T., de Jong, M., & Steehouder, M. (2012) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2011.572331 · Cited by 39 · see citing works
Regulating Innovation in the New Economy
Gobble, M. M. (2015) · Research-Technology Management · Cited by 28 · see citing works
Sustainable Development and Citizen-Centric E-Government Services
Nica, E. (2015) · Economics Management and Financial Markets · Cited by 25 · see citing works
University of Electronic Science and Technology of China, Ziaullah, M., Feng, Y., Akhter, S. N., Khan, M. F., & University of Electronic Science and Technology of China (2014) · Journal of Competitiveness · doi:10.7441/joc.2014.04.01 · Cited by 22 · see citing works
Role of Trust in Adoption of Online Auto Insurance
Lim, S. H., Hur, Y., Lee, S., et al. (2015) · Journal of Computer Information Systems · Cited by 22 · see citing works
Flagged first, then by citations
Research works printed but not linked: 8
- 2015, American tourist claims he was held captive and sexually assaulted by his transexual Airbnb host in Spain
- 2011, What’s Mine is Yours: How Collaborative Consumption is Changing the Way We Live
- Chin, W.W. (1998), “The partial least square approach to structural equation modeling”, in Marcoulides, G.A. (Ed.), Modern Methods for Business Research, Lawrence Erlbaum Associates, Mahwah, NJ, pp. 295-336.
- 2014, The business model for the sharing economy between SMEs, WSEAS Transactions on Business and Economics, 11, 625
- 2009, Multivariate Data Analysis
- Iyer, A. (2016), “How modern marketplaces like Uber and Airbnb build trust to achieve liquidity”, available at: http://firstround.com/review/How-Modern-Marketplaces-Like-Uber-Airbnb-Build-Trust-to-Hit-Liquidity/ (accessed December 22, 2017).
- 2015, Handbook on Research on Sustainable Consumption
- 2014, Making Sense of the UK Collaborative Economy
Cited by
Sorted by citations
Wang, Y., Gu, J., Wang, S., & Wang, J. (2019) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2019.05.044 · Cited by 334 · see citing works
Nadeem, W., Juntunen, M., Shirazi, F., & Hajli, N. (2019) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2019.119786 · Cited by 253 · see citing works
Styvén, M. E., & Mariani, M. M. (2020) · Psychology and Marketing · doi:10.1002/mar.21334 · Cited by 234 · see citing works
“First, it contributes to the sharing economy and collaborative consumption lines of research (Belk, 2014; Hamari et al., 2016; Lee et al., 2018; Zervas et al., 2017) by adopting an integrative and comprehensive framework, to identify the drivers (including, monetary and non-monetary ones) of buying…”
InfluentialGong, Z., Han, Z., Li, X., Yu, C., & Reinhardt, J. D. (2019) · Frontiers in Public Health · doi:10.3389/fpubh.2019.00286 · Cited by 154 · see citing works
“The extended valence framework has been applied in studies regarding e-commerce, and has been considered a useful and valid theoretical framework to guide our understanding of people’s behaviors in the e-commerce context ( 33), including online health information seeking behavior (4).”
BackgroundNadeem, W., Juntunen, M., Hajli, N., & Tajvidi, M. (2019) · Journal of Business Ethics · doi:10.1007/s10551-019-04314-5 · Cited by 143 · see citing works
Spurlock, C. A., Sears, J., Wong‐Parodi, G., Walker, V., Jin, L., Taylor, M., Duvall, A., Gopal, A., & Todd, A. (2019) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2019.01.014 · Cited by 142 · see citing works
Jeon, M. M., Lee, S. A., & Jeong, M. (2019) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2019.102341 · Cited by 138 · see citing works
Pantano, E., & Stylos, N. D. (2020) · Psychology and Marketing · doi:10.1002/mar.21345 · Cited by 138 · see citing works
Dabbous, A., & Tarhini, A. A. (2019) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2019.119775 · Cited by 130 · see citing works
The Consequences of Participating in the Sharing Economy: A Transparency-Based Sharing Framework
C. Köbis, N., Soraperra, I., & Shalvi, S. (2021) · Journal of Management · doi:10.1177/0149206320967740 · Cited by 129 · see citing works
Building trust in the sharing economy: Current approaches and future considerations
Räisänen, J., Ojala, A., & Tuovinen, T. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.123724 · Cited by 118 · see citing works
Fauzi, A. A., & Sheng, M. L. (2020) · Journal of Small Business Management · doi:10.1080/00472778.2020.1745536 · Cited by 114 · see citing works
“Ride-sharing service is an online peer-to-peer app that allows people to lease or rent a ride (Lee et al., 2018).”
BackgroundDeterminants of consumers’ continuance intention to use dynamic ride-sharing services
Si, H., Duan, X., Cheng, L., & Zhang, Z. (2022) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2022.103201 · Cited by 98 · see citing works
Shao, Z., & Yin, H. (2019) · Internet Research · doi:10.1108/intr-02-2018-0086 · Cited by 94 · see citing works
The Sharing Economy: A Marketing Perspective
Lim, W. M. (2020) · Australasian Marketing Journal (AMJ) · doi:10.1016/j.ausmj.2020.06.007 · Cited by 96 · see citing works
Jiang, Y., & Lau, A. K. W. (2021) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2021.101050 · Cited by 97 · see citing works
Sharing economy: International marketing strategies
Kozlenkova, I. V., Lee, J.-Y., Xiang, D., & Palmatier, R. W. (2021) · Journal of International Business Studies · doi:10.1057/s41267-020-00393-z · Cited by 96 · see citing works
Attar, R. W., Almusharraf, A. I., alfawaz, A. A., & Hajli, N. (2022) · Sustainability · doi:10.3390/su142316024 · Cited by 141 · see citing works
“…support and facilitate decision-making, but their impact on the integrated platforms (S-Commerce and sharing commerce) can vary across the regions, and accordingly, the design and levels of integration have to be accordingly modified with respect to the consumer’s preferences in different regions.”
BackgroundAshaduzzaman, M., Jebarajakirthy, C., Weaven, S. K., Maseeh, H. I., Das, M., & Pentecost, R. D. (2022) · European Journal of Marketing · doi:10.1108/ejm-07-2020-0563 · Cited by 92 · see citing works
Sources of value co-destruction: Uber customer perspectives
Sthapit, E., & Björk, P. (2019) · Tourism Review · doi:10.1108/tr-12-2018-0176 · Cited by 89 · see citing works
Fauzi, A. A., & Sheng, M. L. (2020) · Asia Pacific Journal of Marketing and Logistics · doi:10.1108/apjml-05-2019-0332 · Cited by 89 · see citing works
To grab or not to grab? The role of trust and perceived value in on-demand ridesharing services
Aw, E. C., Basha, N. K., Ng, S. I., & Sambasivan, M. (2019) · Asia Pacific Journal of Marketing and Logistics · doi:10.1108/apjml-09-2018-0368 · Cited by 97 · see citing works
“Thus, so far, organizationallevel studies have raised ample attention from researchers but individual-level studies remain under-researched (Lee et al., 2018).”
BackgroundUnderstanding the sharing economy and its implication on sustainability in smart cities
Akande, A., Cabral, P., & Casteleyn, S. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.124077 · Cited by 85 · see citing works
Lee, S., Jung, H., & Lee, K.-H. (2021) · Sustainability · doi:10.3390/su13041804 · Cited by 64 · see citing works
Chuah, S. H., Tseng, M., Wu, K., & Cheng, C.-F. (2021) · Resources Conservation and Recycling · doi:10.1016/j.resconrec.2021.105892 · Cited by 79 · see citing works
Akter, S., Babu, M. M., Hossain, M. A., & Hani, U. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2021.11.077 · Cited by 78 · see citing works
Investigating factors that affect the intention to use shared parking: A case study of Taipei City
Liang, J.-K., Eccarius, T., & Lu, C. (2019) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2019.10.006 · Cited by 75 · see citing works
An investigation into sharing economy enabled ridesharing drivers’ trust: A qualitative study
Cheng, X., Su, L., & Yang, B. (2020) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2020.100956 · Cited by 75 · see citing works
Ofori, K. S., Anyigba, H., Adeola, O., Chai, J., Osakwe, C. N., & David‐West, O. (2021) · Information Technology and People · doi:10.1108/itp-06-2019-0285 · Cited by 77 · see citing works
Consumer attitude and intention toward ridesharing
Cheah, I., Shimul, A. S., Liang, J., & Phau, I. (2020) · Journal of Strategic Marketing · doi:10.1080/0965254x.2020.1733050 · Cited by 67 · see citing works
“…sharing economy has started to emerge (e.g. Puschmann & Alt, 2016; PWC, 2015), and a scientific understanding of the phenomenon is still evolving (Lee et al., 2018) there still remains a dearth of understanding as to why people participate in collaborative consumption (Hamari et al., 2015),…”
BackgroundMethodResultInfluentialMedia richness, social presence and loyalty to mobile instant messaging
Tseng, F., Cheng, T. C. E., Yu, P.-L., Huang, T., & Teng, C. (2019) · Industrial Management & Data Systems · doi:10.1108/imds-09-2018-0415 · Cited by 66 · see citing works
Take me on a ride: The role of environmentalist identity for carpooling
Hartl, B., Kamleitner, B., & Holub, S. (2020) · Psychology and Marketing · doi:10.1002/mar.21340 · Cited by 63 · see citing works
How does media richness foster online gamer loyalty?
Tseng, F.-C., Huang, T.-L., Pham, T. T. L., Cheng, T. C. E., & Teng, C.-I. (2022) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102439 · Cited by 63 · see citing works
Elnadi, M., & Gheith, M. H. (2022) · Travel Behaviour and Society · doi:10.1016/j.tbs.2022.06.002 · Cited by 72 · see citing works
How to Grow the Sharing Economy? Create Prosumers!
Lang, B., Botha, E., Robertson, J., Kemper, J. A., Dolan, R. M., & Kietzmann, J. (2020) · Australasian Marketing Journal (AMJ) · doi:10.1016/j.ausmj.2020.06.012 · Cited by 63 · see citing works
Sources of influences on customers' trust in ride-sharing: why use experience matters?
Shao, Z., Guo, Y., Li, X., & Barnes, S. J. (2020) · Industrial Management & Data Systems · doi:10.1108/imds-12-2019-0651 · Cited by 67 · see citing works
Evaluating the effectiveness of Didi ride-hailing security measures: An integration model
Jing, P., Chen, Y., Wang, X., Pan, K., & Yuan, D. (2020) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2020.11.004 · Cited by 64 · see citing works
Shared consumption and its determinants: A systematic literature review and future research agenda
Khalek, S. A., & Chakraborty, A. (2023) · International Journal of Consumer Studies · doi:10.1111/ijcs.12913 · Cited by 61 · see citing works
Taxi within a grab? A gender-invariant model of mobile taxi adoption
Ooi, K., Foo, F. E., Tan, G. W., et al. (2020) · Industrial Management & Data Systems · doi:10.1108/imds-04-2020-0239 · Cited by 60 · see citing works
Olayode, I. O., Severino, A. G., Alex, F. J., Macioszek, E., & Tartibu, L. K. (2023) · Transportation Research Interdisciplinary Perspectives · doi:10.1016/j.trip.2023.100943 · Cited by 59 · see citing works
Exploration of Sharing Accommodation Platform Airbnb Using an Extended Technology Acceptance Model
Jung, J., Park, E., Moon, J., & Lee, W. S. (2021) · Sustainability · doi:10.3390/su13031185 · Cited by 62 · see citing works
“In sum, various studies on Airbnb are underway, but many of them approached it from a psychological perspective, such as host and guest motivation and satisfaction [22,25,26].”
BackgroundWhy Do(n’t) We Buy Second-Hand Luxury Products?
Stolz, K. (2022) · Sustainability · doi:10.3390/su14148656 · Cited by 57 · see citing works
“In the context of digitalization and the usage of social media, the trend towards second-hand trade is increasing [16,64,65].”
BackgroundZardari, B. A., Hussain, Z., Arain, A. A., Rizvi, W. H., & Vighio, M. S. (2021) · Sustainability · doi:10.3390/su13116201 · Cited by 55 · see citing works
“These findings are consistent with previous studies addressing the user acceptance of e-learning technology [43,44] and other technologies [45–48 ,50, The construct appeal from the UX model has significant impacts on both pleasure and satisfaction.”
Guo, K. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.885515 · Cited by 55 · see citing works
“In support, the study refers to videoconferencing as an innovative tool driving the firm’s communication (Lee et al., 2018) and employees’ satisfaction.”
BackgroundThe sharing economy: the influence of perceived corporate social responsibility on brand commitment
Fatma, M., Khan, I. M., Rahman, Z., & Pérez, A. (2020) · Journal of Product & Brand Management · doi:10.1108/jpbm-04-2020-2862 · Cited by 56 · see citing works
RetractedThe role of intrinsic and extrinsic motivations in sharing economy post-adoption
Oliveira, T., Barbeitos, I., & Calado, A. S. C. (2021) · Information Technology and People · doi:10.1108/itp-01-2020-0007 · Cited by 56 · see citing works
Burghard, U., & Scherrer, A. (2022) · Energy Policy · doi:10.1016/j.enpol.2022.112874 · Cited by 49 · see citing works
Gaber, H. R., & ElSamadicy, A. M. (2021) · Cogent Business & Management · doi:10.1080/23311975.2021.1944009 · Cited by 50 · see citing works
“For instance, Lee et al. (2018) argued that economic benefits are one of the main benefits that influence customers’ intention to use these apps.”
BackgroundResultInfluentialShao, Z., Zhang, L., Li, X., & Zhang, R. (2022) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2022.101119 · Cited by 49 · see citing works
Sharing economy: seeing through the fog
Trabucchi, D., Muzellec, L., & Ronteau, S. (2019) · Internet Research · doi:10.1108/intr-03-2018-0113 · Cited by 49 · see citing works
Young Consumers’ Intention to Participate in the Sharing Economy: An Integrated Model
Martínez-González, J. A., Parra-López, E., & Barrientos–Báez, A. (2021) · Sustainability · doi:10.3390/su13010430 · Cited by 52 · see citing works
“The fourth approach that addresses consumers’ intentions in the tourism sharing economy has emerged due to the digital nature of young consumers, the intangible nature of tourism, and other limitations and critical factors mentioned within the three approaches above [39].”
BackgroundLeong, L.-Y., Hew, T.-S., Ooi, K., & Chau, P. Y. K. (2024) · Decision Support Systems · doi:10.1016/j.dss.2024.114185 · Cited by 47 · see citing works
Sharing achievement and social entrepreneurial intention
Wu, W., Wang, H., Wei, C., & Zheng, C. (2020) · Management Decision · doi:10.1108/md-05-2019-0667 · Cited by 50 · see citing works
Tang, L., & Jiang, J. (2024) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2024.141168 · Cited by 52 · see citing works
Why do consumers become providers? Self-determination in the sharing economy
Lang, B., Kemper, J. A., Dolan, R. M., & Northey, G. (2021) · Journal of Service Theory and Practice · doi:10.1108/jstp-09-2020-0220 · Cited by 45 · see citing works
Ethical Consumption: A Review and Research Agenda
Arman, S. M., & Mark‐Herbert, C. (2024) · International Journal of Consumer Studies · doi:10.1111/ijcs.13079 · Cited by 57 · see citing works
Collaborative innovation in the sharing economy
Abhari, K., Davidson, E., & Xiao, B. S. (2019) · Internet Research · doi:10.1108/intr-03-2018-0129 · Cited by 43 · see citing works
Guo, J., Lin, J., & Li, L. (2020) · Information Technology for Development · doi:10.1080/02681102.2020.1807894 · Cited by 45 · see citing works
“In addition, perceived bene fi ts have a greater e ff ect on calculative-based trust than perceived risk, which is consistent with the signi fi cant positive e ff ect of perceived bene fi ts on individual behavior, proposed by Lee et al. (2018).”
BackgroundResultInfluentialCharatsari, C., Lioutas, E. D., Rosa, M. D., & Vecchio, Y. (2022) · Frontiers in Sustainable Food Systems · doi:10.3389/fsufs.2022.872706 · Cited by 43 · see citing works
Cha, M., & Lee, H.-J. (2021) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2021.102515 · Cited by 43 · see citing works
Does heavy ICT usage contribute to the adoption of ride-hailing app?
Fu, X.-M. (2020) · Travel Behaviour and Society · doi:10.1016/j.tbs.2020.06.005 · Cited by 39 · see citing works
Assessing carpooling drivers and barriers: Evidence from Bangkok, Thailand
Tsai, Y., Yu, C., & Boonprakob, R. (2021) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2021.07.017 · Cited by 42 · see citing works
Barriers to access-based consumption in the circular transition: A systematic review
Arekrans, J., Sopjani, L., Laurenti, R., & Ritzén, S. (2022) · Resources Conservation and Recycling · doi:10.1016/j.resconrec.2022.106364 · Cited by 46 · see citing works
“…prevailing regulatory, political, and technical frameworks in favor of protecting traditional industries create barriers to entry for new ABC offerings; furthermore, these pro-tections also conflict with the goals of sustainable consumption (Mont, 2004a; Hong and Lee, 2018; Paik et al., 2018).”
BackgroundCui, L., Yang, K., Lei, Z., Lim, M. K., & Hou, Y. (2021) · Sustainable Production and Consumption · doi:10.1016/j.spc.2021.12.009 · Cited by 42 · see citing works
Liu, Y., Gao, Q., & Rau, P. P. (2021) · Travel Behaviour and Society · doi:10.1016/j.tbs.2021.10.009 · Cited by 41 · see citing works
‘Do not talk to strangers’: A study on trust in Brazilian ridesharing apps
Vaclavik, M. C., Macke, J., & Silva, D. F. E. (2020) · Technology in Society · doi:10.1016/j.techsoc.2020.101379 · Cited by 35 · see citing works
The determinants of customer loyalty in the Indonesian ride-sharing services: offline vs online
Kuswanto, A., Sundari, S., Harmadi, A., et al. (2019) · Innovation & Management Review · doi:10.1108/inmr-05-2019-0063 · Cited by 35 · see citing works
“The influence of information quality and system quality on trust is in accordance with a research by Lee et al. (2018) in the context of Uber service in Hong Kong.”
ResultAttracted to or Locked In? Explaining Consumer Loyalty toward Airbnb
Kim, B.-S., & Kim, D. (2020) · Sustainability · doi:10.3390/su12072814 · Cited by 35 · see citing works
“Social benefits have been shown to be significant antecedents of user participation in the sharing economy [43].”
BackgroundExamining user attitudes towards ride-hailing services – A SEM-MIMIC Ordered Probit approach
Bhaduri, E., & Goswami, A. K. (2022) · Travel Behaviour and Society · doi:10.1016/j.tbs.2022.08.008 · Cited by 38 · see citing works
Drivers of the Sharing Economy That Affect Consumers’ Usage Behavior: Moderation of Perceived Risk
Anaya, Ó., & la Vega, I. D. (2022) · Administrative Sciences · doi:10.3390/admsci12040171 · Cited by 36 · see citing works
Yang, H., & Xia, L. (2021) · Journal of Global Scholars of Marketing Science · doi:10.1080/21639159.2020.1808833 · Cited by 35 · see citing works
“Ride-sharing platforms provide online peer-to-peer ride-sharing service that can better match the supply of drivers with the customers’ demand for rides by pricing and compensation policy (Bimpikis et al., 2019; Z. W. Y. Lee et al., 2018).”
BackgroundCasidy, R., Leckie, C., Nyadzayo, M. W., & Johnson, L. W. (2022) · European Journal of Marketing · doi:10.1108/ejm-10-2021-0803 · Cited by 33 · see citing works
Jiang, J., Feng, R., & Li, E. Y. (2021) · Sustainability · doi:10.3390/su13095095 · Cited by 32 · see citing works
Factors Affecting the Adoption of Photovoltaic Systems in Rural Areas of Poland
Angowski, M., Kijek, T., Lipowski, M., & Bondos, I. (2021) · Energies · doi:10.3390/en14175272 · Cited by 32 · see citing works
Nguyen-Phuoc, D. Q., Oviedo-Trespalacios, Ó., Nguyen, M. H., Dinh, M. T. T., & Su, D. N. (2022) · Cities · doi:10.1016/j.cities.2022.103691 · Cited by 33 · see citing works
“, 2020), and Hong Kong (Lee et al., 2018)) by considering various additional influential constructs as part of the TPB such as perceived usefulness, perceived ease of use, safety risk, perceived trust or perceived usability.”
Pu, R., Chankoson, T., Dong, R. K., & Song, L. (2022) · Library Hi Tech · doi:10.1108/lht-05-2022-0241 · Cited by 32 · see citing works
Towards a typology of sharing economy business model transformation
Öberg, C. (2023) · Technovation · doi:10.1016/j.technovation.2023.102722 · Cited by 34 · see citing works
“Benoit et al., 2017; Chen and Xie, 2017; Davidson et al., 2018; Hwang and Griffiths, 2017; Lee et al., 2018; Lutz and Newlands, 2018; Milanova and Maas, 2017; So et al., 2018; Wilhelms et al., 2017; Zhu et al., 2017 Trust and repeated exchanges How trust is created as exchanges become transactional…”
Boukis, A., Christodoulides, G., Semaan, R. W., & Σταθοπούλου, Α. (2024) · Journal of Business Research · doi:10.1016/j.jbusres.2024.114634 · Cited by 32 · see citing works
He, L., Sopjani, L., & Laurenti, R. (2021) · Sustainable Production and Consumption · doi:10.1016/j.spc.2021.02.027 · Cited by 29 · see citing works
Tripp, J. F., McKnight, D. H., & Lankton, N. K. (2022) · European Journal of Information Systems · doi:10.1080/0960085x.2022.2062469 · Cited by 33 · see citing works
“Uber and Airbnb are well-known.”
Impact of Consumer Environmental Consciousness on Consumer Perceived Value from Sharing Economy
Gadeikienė, A., & Švarcaitė, A. (2021) · Engineering Economics · doi:10.5755/j01.ee.32.4.28431 · Cited by 28 · see citing works
Relationships among actors within the sharing economy: Meta-analytics review
Barari, M. M., Paul, J., Ross, M., Quach, S., & Surachartkumtonkun, J. (2022) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2022.103215 · Cited by 28 · see citing works
“This can lead to higher service variability and inconsistency in this business model (Lee, 2020).”
BackgroundResultInfluentialWhy people use the sharing economy: A meta-analysis
Rossmannek, O., & Chen, M. (2023) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2022.135824 · Cited by 28 · see citing works
Sun, R., & Gregor, S. D. (2023) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2023.101791 · Cited by 26 · see citing works
The Sharing Economy: A Systematic Literature Review and Research Agenda
Khodayari, M., Akbari, M., & Foroudi, P. (2025) · International Journal of Consumer Studies · doi:10.1111/ijcs.70010 · Cited by 31 · see citing works
Lou, L., Li, L., Yang, S., et al. (2021) · Sustainability · doi:10.3390/su13031533 · Cited by 26 · see citing works
“It is worth noting that research on why individuals adopt the sharing economy is helpful for predicting and enhancing users’ sharing economy propensity [48,66], while research on consumer/user (i.”
BackgroundAn Investigation of Patient Decisions to Use eHealth
Zheng, S., Chang, P.-Y., Chen, J., Chang, Y., & Fan, H. (2021) · Journal of Organizational and End User Computing · doi:10.4018/joeuc.289433 · Cited by 26 · see citing works
Determinants of on-demand ridesharing: the role of awareness of environmental consequences
Sajid, M., Zakkariya, K. A., Peethambaran, M., & George, A. (2022) · Management of Environmental Quality An International Journal · doi:10.1108/meq-10-2021-0235 · Cited by 27 · see citing works
A trust-based peer-to-peer digital brand equity (P2P-DBE) model
Ozbal, O., Duman, T., & Topaloglu, O. (2020) · The Journal of Marketing Theory and Practice · doi:10.1080/10696679.2020.1794901 · Cited by 31 · see citing works
Hien, N. N., Vo, L. T., Ngan, N. T. T., & Ghi, T. N. (2023) · Journal of Open Innovation Technology Market and Complexity · doi:10.1016/j.joitmc.2023.100181 · Cited by 26 · see citing works
Drivers’ perceptions of the sharing economy for transport services
Hossain, M., & Mozahem, N. A. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.121668 · Cited by 25 · see citing works
Zhu, L., Jiang, X., & Cao, J. (2023) · Healthcare · doi:10.3390/healthcare11030374 · Cited by 31 · see citing works
Činjarević, M., Kožo, A., & Berberović, D. (2019) · South East European Journal of Economics and Business · doi:10.2478/jeb-2019-0003 · Cited by 24 · see citing works
“In the context of the sharing economy, scholars have emphasized the importance of functional/utilitarian, and hedonic value (Bardhi and Eckhardt 2012; Lee et al. 2018; Wu, Zeng, and Xie 2017).”
BackgroundMalik, F., & Wahaj, Z. (2019) · IFIP advances in information and communication technology · doi:10.1007/978-3-030-18400-1_20 · Cited by 26 · see citing works
Upadhyay, C. K., Tewari, V., & Tiwari, V. (2021) · Information Technology for Development · doi:10.1080/02681102.2021.1971147 · Cited by 25 · see citing works
Interplay between perceived value, trust and continuance intention: evidence in the sharing economy
Tumaku, J., Ren, J., Boakye, K. G., Ofori, K. S., & Abubakari, A. (2023) · International Journal of Quality and Service Sciences · doi:10.1108/ijqss-05-2022-0048 · Cited by 31 · see citing works
Carbonara, N., Petruzzelli, A. M., Panniello, U., & Vita, D. D. (2024) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2024.142744 · Cited by 24 · see citing works
Freelancers as Part-time Employees: Dimensions of FVP and FJS in E-Lancing Platforms
Nawaz, Z., Zhang, J., Mansoor, R., Hafeez, S., & Ilmudeen, A. (2020) · South Asian Journal of Human Resources Management · doi:10.1177/2322093720908453 · Cited by 24 · see citing works
Exploring post-usage behaviour in app-based ride-sourcing services: Evidence from Egypt
Elnadi, M., Troise, C., Jones, P. K., & Gheith, M. H. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2024.123643 · Cited by 25 · see citing works
Exploring the attitudes of Millennials and Generation Xers toward ridesourcing services
Azimi, G., Rahimi, A., & Jin, X. (2021) · Transportation · doi:10.1007/s11116-021-10227-y · Cited by 22 · see citing works
- Authors
- Lee, Z. W. Y., Chan, T. K. H., Balaji, M. S., & Chong, A. Y.-L.
- Affiliations
- Durham University (GB)
- Northumbria University (GB)
- University of Nottingham Ningbo China (CN)
- Venue
- Internet Research
- Publisher
- Emerald
- Published
- 2018-06-04
- Volume
- 28
- Issue
- 3
- Pages
- 829-850
- ISSN
- 1066-2243 (ISSN-L)
- OpenAlex
- W2787919713
- Cited by
- 305
- References
- 83
- Citations by year
- 2026: 23 · 2025: 20 · 2024: 47 · 2023: 38 · 2022: 58 · 2021: 50 · 2020: 39 · 2019: 28 · 2018: 2
- FWCI
- 53.22
- Type
- journal article
- Language
- en
- Open access
- Locations
- Internet Research (publishedVersion)
- Northumbria Research Link (Northumbria University) (acceptedVersion)
- Durham Research Online (Durham University) (acceptedVersion)
- Durham Research Online (Durham University) (submittedVersion, cc-by)
- Research Explorer (The University of Manchester) (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Sharing Economy and Platforms
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Business, Management and Accounting › Strategy and Management › Digital Platforms and Economics
- Keywords
- sharing economy, Uber, risk perception, perceived benefits, platform trust, technological factors, ride-hailing platforms
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-11.
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