Impact of mobile device usage and temporal distance on consumer post-consumption evaluations: Evidence from TripAdvisor
Tài liệu tham khảo
Adam, 2021, The effect of mobile phone penetration on the quality of life, Telecommun. Policy., 45, 102, 10.1016/j.telpol.2021.102109
Adamopoulos, 2018, The Impact of User Personality Traits on Word of Mouth: Text-Mining Social Media Platforms, Inf. Syst. Res., 29, 612, 10.1287/isre.2017.0768
Anderson, 1998, Customer satisfaction and word of mouth, J. Service Res., 1, 5, 10.1177/109467059800100102
Banerjee, 2016, In search of patterns among travellers' hotel ratings in TripAdvisor, Tourism Manage., 53, 125, 10.1016/j.tourman.2015.09.020
Bang, 2013, Channel Capabilities, Product Characteristics, and the Impacts of Mobile Channel Introduction, J. Manage. Inf. Syst., 30, 101, 10.2753/MIS0742-1222300204
Brant, 1990, Assessing proportionality in the proportional odds model for ordinal logistic regression, Biometrics., 1171, 10.2307/2532457
Burtch, G., Hong, Y., 2014a. What happens when word of mouth goes mobile? Thirty Fifth International Conference on Information Systems, Auckland, 2014.
Chakraborty, 2022, Attribute Sentiment Scoring with Online Text Reviews: Accounting for Language Structure and Missing Attributes, J. Mark. Res., 59, 600, 10.1177/00222437211052500
Chen, 2013, Temporal Contiguity and Negativity Bias in the Impact of Online Word of Mouth, J. Mark. Res., 50, 463, 10.1509/jmr.12.0063
Choi, 2019, When Seeing Helps Believing: The Interactive Effects of Previews and Reviews on E-Book Purchases, Inf. Syst. Res., 30, 1164, 10.1287/isre.2019.0857
Chu, 2011, Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites, Int. J. Advertising., 30, 47, 10.2501/IJA-30-1-047-075
Cropanzano, 2017, Social exchange theory: A critical review with theoretical remedies, Acad. Manage. Annals., 11, 479, 10.5465/annals.2015.0099
Cropanzano, 2005, Social exchange theory: An interdisciplinary review, J. Manage., 31, 874
Davenport, 1998, Collaborative research programmes: building trust from difference, Technovation., 19, 31, 10.1016/S0166-4972(98)00083-2
Dellarocas, 2006, A statistical measure of a population’s propensity to engage in post-purchase online word-of-mouth, Stat. Sci., 21, 277, 10.1214/088342306000000169
Dichter, 1966, How Word-of-Mouth Advertising Works, Harvard Business Rev., 44, 147
Ding, 2017, Consumer reliance on intangible versus tangible attributes in service evaluation: the role of construal level, J. Acad. Mark. Sci., 45, 848, 10.1007/s11747-017-0527-8
Einav, 2014, Growth, Adoption, and Use of Mobile E-Commerce, Am. Econ. Rev.., 104, 489, 10.1257/aer.104.5.489
Filieri, 2021, Extremely Negative Ratings and Online Consumer Review Helpfulness: The Moderating Role of Product Quality Signals, J. Travel Res., 60, 699, 10.1177/0047287520916785
Gao, 2017, Follow the herd or be myself? An analysis of consistency in behavior of reviewers and helpfulness of their reviews, Decis. Support Syst., 95, 1, 10.1016/j.dss.2016.11.005
Gao, 2018, How power distance affects online hotel ratings: The positive moderating roles of hotel chain and reviewers’ travel experience, Tourism Manage., 65, 176, 10.1016/j.tourman.2017.10.007
Gershoff, 2003, Consumer acceptance of online agent advice: Extremity and positivity effects, J. Consumer Psychol., 13, 161, 10.1207/153276603768344870
Ghose, 2013, How Is the Mobile Internet Different? Search Costs and Local Activities, Inf. Syst. Res., 24, 613, 10.1287/isre.1120.0453
Ghose, 2014, Estimating Demand for Mobile Applications in the New Economy, Manage. Sci., 60, 1470, 10.1287/mnsc.2014.1945
Ghose, 2011, Estimating the Helpfulness and Economic Impact of Product Reviews: Mining Text and Reviewer Characteristics, IEEE Trans. Knowl. Data Eng., 23, 1498, 10.1109/TKDE.2010.188
Ghose, 2012, Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowdsourced Content, Marketing Science., 31, 493, 10.1287/mksc.1110.0700
Ghose, 2019, Mobile Targeting Using Customer Trajectory Patterns, Manage. Sci., 65, 5027, 10.1287/mnsc.2018.3188
Goffman, 1955, On face-work; an analysis of ritual elements in social interaction, Psychiatry., 18, 213, 10.1080/00332747.1955.11023008
Grewal, 2018, In-Store Mobile Phone Use and Customer Shopping Behavior: Evidence from the Field, Journal of Marketing., 82, 102, 10.1509/jm.17.0277
Grewal, 2019, In Mobile We Trust: The Effects of Mobile Versus Nonmobile Reviews on Consumer Purchase Intentions, J. Mark. Res., 56, 791, 10.1177/0022243719834514
Han, 2021, Examining the effect of reviewer expertise and personality on reviewer satisfaction: an empirical study of TripAdvisor, Comput. Hum. Behav., 114, 10.1016/j.chb.2020.106567
Han, 2022, How does mobile device usage influence review helpfulness through consumer evaluation? Evidence from TripAdvisor, Decis. Support Syst., 153, 10.1016/j.dss.2021.113682
Hill, 2020, Endogeneity: A Review and Agenda for the Methodology-Practice Divide Affecting Micro and Macro Research, Journal of Management., 47, 105, 10.1177/0149206320960533
Hill, 2021, Endogeneity: A review and agenda for the methodology-practice divide affecting micro and macro research, Journal of Management., 47, 105, 10.1177/0149206320960533
Hong, 2016, Culture, Conformity, and Emotional Suppression in Online Reviews, J. Assoc. Inf. Syst.., 17, 737
Hu, 2006, Can online reviews reveal a product's true quality? Empirical findings and analytical modeling of online word-of-mouth communication, 324
Hu, 2019, What do hotel customers complain about? Text analysis using structural topic model, Tourism Manage., 72, 417, 10.1016/j.tourman.2019.01.002
Huang, 2016, Effects of multiple psychological distances on construal and consumer evaluation: A field study of online reviews, Journal of Consumer Psychology., 26, 474, 10.1016/j.jcps.2016.03.001
Kankanhalli, 2005, Contributing knowledge to electronic knowledge repositories: An empirical investigation, MIS Q., 113, 10.2307/25148670
Kwon, 2016, Excessive Dependence on Mobile Social Apps: A Rational Addiction Perspective, Inf. Syst. Res., 27, 919, 10.1287/isre.2016.0658
Lampel, 2007, The Role of Status Seeking in Online Communities: Giving the Gift of Experience, J. Computer-Mediated Commun., 12, 434, 10.1111/j.1083-6101.2007.00332.x
Laurie, 2017, Sharing information now vs later The effect of temporal contiguity cue and power on consumer response toward online reviews, Int. J. Contemporary Hospitality Manage., 29, 648, 10.1108/IJCHM-10-2015-0587
Li, 2016, Could Deal Promotion Improve Merchants’ Online Reputations? The Moderating Role of Prior Reviews, J. Manage. Inf. Syst., 33, 171, 10.1080/07421222.2016.1172450
Li, 2017, Sunny, Rainy, and Cloudy with a Chance of Mobile Promotion Effectiveness, Marke. Sci., 36, 762, 10.1287/mksc.2017.1044
Li, 2019, “When you write review” matters, Int. J. Contemporary Hospitality Manage., 31, 1273, 10.1108/IJCHM-01-2018-0058
Li, 2021, Can time soften your opinion? The influence of consumer experience valence and review device type on restaurant evaluation, Int. J. Hospitality Manage., 92, 10.1016/j.ijhm.2020.102729
Li, 2019, The effect of online reviews on product sales: A joint sentiment-topic analysis, Inf. Manage., 56, 172, 10.1016/j.im.2018.04.007
Li, 2020, The effects of consumer experience and disconfirmation on the timing of online review: Field evidence from the restaurant business, Int. J. Hospitality Manage., 84, 10.1016/j.ijhm.2019.102344
Liberman, 2008, The psychology of transcending the here and now, Science, 322, 1201, 10.1126/science.1161958
Lin, 2019, An Empirical Study of Free Product Sampling and Rating Bias, Inf. Syst. Res., 30, 260, 10.1287/isre.2018.0801
Liu, 2021, Assessing the Unacquainted: Inferred Reviewer Personality and Review Helpfulness, MIS Q., 45, 1113, 10.25300/MISQ/2021/14375
Luca, 2016, Fake It Till You Make It: Reputation, Competition, and Yelp Review Fraud, Manage. Sci., 62, 3412, 10.1287/mnsc.2015.2304
Luo, 2014, Mobile Targeting, Manage. Sci., 60, 1738, 10.1287/mnsc.2013.1836
Mariani, 2019, Online reviews: Differences by submission device, Tourism Manage., 70, 295, 10.1016/j.tourman.2018.08.022
Min Kim, 2020, Differences in mobile and nonmobile reviews: the role of perceived costs in review-posting, Int. J. Electronic Commerce., 24, 450, 10.1080/10864415.2020.1806468
Mudambi, 2014, Why aren't the stars aligned? An analysis of online review content and star ratings, 3139
Naegelein, 2019, The value of product presentation technologies on mobile vs. non-mobile devices: A randomized field experiment, Decis. Support Syst., 121, 109, 10.1016/j.dss.2019.04.008
Narang, 2019, Mobile App Introduction and Online and Offline Purchases and Product Returns, Market. Sci., 38, 756, 10.1287/mksc.2019.1169
Park, 2019, Travel distance and hotel service satisfaction: An inverted U-shaped relationship, Int. J. Hospitality Manage., 76, 261, 10.1016/j.ijhm.2018.05.015
Purnawirawan, 2014, Balance and Sequence in Online Reviews: The Wrap Effect, Int. J. Electron. Commerce., 17, 71, 10.2753/JEC1086-4415170203
Ransbotham, 2019, Creation and Consumption of Mobile Word of Mouth: How Are Mobile Reviews Different?, Market. Sci., 38, 773, 10.1287/mksc.2018.1115
Ren, 2016, Exploring customer experience with budget hotels: Dimensionality and satisfaction, Int. J. Hospitality Manage., 52, 13, 10.1016/j.ijhm.2015.09.009
Rishika, 2013, The Effect of Customers' Social Media Participation on Customer Visit Frequency and Profitability: An Empirical Investigation, Inf. Syst. Res., 24, 108, 10.1287/isre.1120.0460
Robertson, 1986, Competitive Effects on Technology Diffusion, J. Market., 50, 1, 10.1177/002224298605000301
Sarker, 2003, Understanding mobile handheld device use and adoption, Commun. ACM, 46, 35, 10.1145/953460.953484
Schneider, 2021, When the stars shine too bright: The influence of multidimensional ratings on online consumer ratings, Manage. Sci., 67, 3871, 10.1287/mnsc.2020.3654
Sparks, 2016, Responding to negative online reviews: The effects of hotel responses on customer inferences of trust and concern, Tourism Manage.., 53, 74, 10.1016/j.tourman.2015.09.011
Sun, 2019, Motivating Effective Mobile App Adoptions: Evidence from a Large-Scale Randomized Field Experiment, Inf. Syst. Res., 30, 523, 10.1287/isre.2018.0815
Susan, 2010, What makes a helpful online review? A study of customer reviews on amazon. com, MIS Q., 34, 185, 10.2307/20721420
Trope, 2010, Construal-level theory of psychological distance, Psychol. Rev., 117, 440, 10.1037/a0018963
Wooldridge, 2015, Control function methods in applied econometrics, J. Human Res., 50, 420, 10.3368/jhr.50.2.420
Wu, 2019, Operationalizing regulatory focus in the digital age: evidence from an e-commerce context, MIS Q., 43, 745, 10.25300/MISQ/2019/14420
Wu, 2021, Coupons or Free Shipping? Effects of Price Promotion Strategies on Online Review Ratings, Inf. Syst. Res., 2, 633, 10.1287/isre.2020.0987
Xu, 2017, Battle of the Channels: The Impact of Tablets on Digital Commerce, Manage. Sci., 63, 1469, 10.1287/mnsc.2015.2406
Yang, 2019, The reasons why elderly mobile users adopt ubiquitous mobile social service, Comput. Hum. Behav., 93, 62, 10.1016/j.chb.2018.12.005
Yang, 2018, Does time dull the pain? The impact of temporal contiguity on review extremity in the hotel context, Int. J. Hospitality Manage., 75, 119, 10.1016/j.ijhm.2018.02.015
Yu, 2017, Rating prediction using review texts with underlying sentiments, Inf. Process. Lett., 117, 10, 10.1016/j.ipl.2016.08.002
Zhang, 2019, Personalized Mobile Targeting with User Engagement Stages: Combining a Structural Hidden Markov Model and Field Experiment, Inf. Syst. Res., 30, 787, 10.1287/isre.2018.0831
Zhao, 2019, What are the revenue implications of mobile channel visits? Evidence from the online travel agency industry, Electron. Commer. Res. Appl., 36, 10.1016/j.elerap.2019.100865
Zhu, 2020, Understanding the influence of submission devices on online consumer reviews: A comparison between smartphones and PCs, J. Retail. Consumer Serv., 54, 10.1016/j.jretconser.2019.102028