Effects of Qualitative Factors in Reviews on Job Seekers’ Perceptions: Empirical Analysis of Online Employer Reviews

Acknowledgments

This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2022S1A3A2A01089239)

References

• Agnihotri, A., and Bhattacharya, S.(2016), “Online review helpfulness: Role of qualitative factors,” Psychology & Marketing, 33(11), pp.1006- 1017. [https://doi.org/10.1002/mar.20934]
• Armstrong, J. (2010). Persuasive advertising: Evidence- based principles. Springer. [https://doi.org/10.1057/9780230285804]
• Carpentier, M., and Van Hoye, G.(2021), “Managing organizational attractiveness after a negative employer review: Company response strategies and review consensus,” European Journal of Work and Organizational Psychology, 30 (2), pp.274-291. [https://doi.org/10.1080/1359432X.2020.1718748]
• Chen, W., Gu, B., Ye, Q., and Zhu, K. X.(2019), “Measuring and managing the externality of managerial responses to online customer reviews,” Information Systems Research, 30 (1), pp.81-96. [https://doi.org/10.1287/isre.2018.0781]
• Cheung, M. Y., Luo, C., Sia, C. L., and Chen, H. P.(2009), “Credibility of electronic word-of- mouth: Informational and normative deter- minants of online consumer recommendations,” International Journal of Electronic Commerce, 13(4), pp.9-38 [https://doi.org/10.2753/JEC1086-4415130402]
• Coleman, M., and Liau, T. L.(1975), “A computer readability formula designed for machine scoring,” Journal of Applied Psychology, 60 (2), pp.283-284. [https://doi.org/10.1037/h0076540]
• Coursaris, C. K., and Van Osch, W.(2016), “A Cognitive- Affective Model of Perceived User Satisfaction (CAMPUS): The complementary effects and interdependence of usability and aesthetics in IS design,” Information & Management, 53(2), pp.252-264. [https://doi.org/10.1016/j.im.2015.10.003]
• Eslami, S. P., Ghasemaghaei, M., and Hassanein, K.(2018), “Which online reviews do consumers find most helpful? A multi-method investigation,” Decision Support Systems, 113, pp.32-42. [https://doi.org/10.1016/j.dss.2018.06.012]
• Falk, S., Hammermann, A., Mohnen, A., and Werner, A.(2013), “Different degrees of informational asymmetry on job markets and its impact on companies’ recruiting success,” Journal of Business Economics, 83, pp.295-317. [https://doi.org/10.1007/s11573-013-0654-8]
• Fang, B., Ye, Q., Kucukusta, D., and Law, R. (2016), “Analysis of the perceived value of online tourism reviews: Influence of readability and reviewer characteristics,” Tourism Ma- nagement, 52, pp.498-506. [https://doi.org/10.1016/j.tourman.2015.07.018]
• Fang, J., Hu, L., Liu, X., and Prybutok, V. R. (2022), “Impact of air quality on online restaurant review comprehensiveness,” Electronic Commerce Research, 22, pp.1035-1058. [https://doi.org/10.1007/s10660-020-09445-w]
• Filieri, R.(2015), “What makes online reviews helpful? A diagnosticity-adoption framework to explain informational and normative influences in e-WOM,” Journal of Business Research, 68(6), pp.1261-1270. [https://doi.org/10.1016/j.jbusres.2014.11.006]
• Forman, C., Ghose, A., and Wiesenfeld, B.(2008), “Examining the relationship between reviews and sales: The role of reviewer identity dis- closure in electronic markets,” Information Systems Research, 19(3), pp.291-313. [https://doi.org/10.1287/isre.1080.0193]
• Fu, D., Hong, Y., Wang, K., and Fan, W.(2018), “Effects of membership tier on user content generation behaviors: Evidence from online reviews,” Electronic Commerce Research, 18, pp.457-483. [https://doi.org/10.1007/s10660-017-9266-7]
• Glassdoor(2019), “A Guide to the Ultimate Candidate Experience,” available at: https://www.glassdoor.com/employers/blog/a-guide-tothe-ultimate-candidate-experience/
• Guo, B., and Zhou, S.(2017), “What makes population perception of review helpfulness: An infor- mation processing perspective,” Electronic Commerce Research, 17, pp.585-608. [https://doi.org/10.1007/s10660-016-9234-7]
• Hovland, C. I., Janis, I. L., and Kelley, H. H. (1953). Communication and Persuasion; Psychological Studies of Opinion Change. Yale University Press, New Haven, CT.
• Huang, A. H., Chen, K., Yen, D. C., and Tran, T. P.(2015), “A study of factors that contribute to online review helpfulness,” Computers in Human Behavior, 48, pp.17-27. [https://doi.org/10.1016/j.chb.2015.01.010]
• Jiang, Z., and Benbasat, I.(2004). “Virtual product experience: Effects of visual and functional control of products on perceived diagnosticity and flow in electronic shopping,” Journal of Management Information Systems, 21(3), pp.111-147. [https://doi.org/10.1080/07421222.2004.11045817]
• Kincaid, J. P., Fishburne, R. P., Jr., Rogers, R. L., and Chissom, B. S.(1975), Derivation of New Readability Formulas (Automated Readability Index, Fog Count and Flesch Reading Ease Formula) for Navy Enlisted Personnel, Research Branch Report 8-75, Naval Technical Training Command, Millington, TN. [https://doi.org/10.21236/ADA006655]
• King, R. A., Racherla, P., and Bush, V. D.(2014), “What We Know and Don’t Know About Online Word-of-Mouth: A Review and Syn- thesis of the Literature,” Journal of Inter- active Marketing, 28(3), pp.167-183. [https://doi.org/10.1016/j.intmar.2014.02.001]
• Könsgen, R., Schaarschmidt, M., Ivens, S., and Munzel, A.(2018), “Finding meaning in con- tradiction on employee review sites―Effects of discrepant online reviews on job application intentions,” Journal of Interactive Marketing, 43(1), pp.165-177. [https://doi.org/10.1016/j.intmar.2018.05.001]
• Korfiatis, N., García-Bariocanal, E., and Sánchez- Alonso, S.(2012), “Evaluating content quality and helpfulness of online product reviews: The interplay of review helpfulness vs. review content,” Electronic Commerce Research and Applications, 11(3), pp.205-217. [https://doi.org/10.1016/j.elerap.2011.10.003]
• Lee, S., and Choeh, J. Y.(2016), “The determinants of helpfulness of online reviews,” Behaviour & Information Technology, 35(10), pp.853-863. [https://doi.org/10.1080/0144929X.2016.1173099]
• Lerner, J., and Tirole, J.(2002), “Some simple eco- nomics of open source,” The Journal of Industrial Economics, 50(2), pp.197-234. [https://doi.org/10.1111/1467-6451.00174]
• Li, J., Ge, Y., Hong, Y., Cheema, A., and Gu, B. (2017), “Textual review dimensionality and helpfulness: A multi-method study,” Available at SSRN 2931934. [https://doi.org/10.2139/ssrn.2931934]
• Li, M., Huang, L., Tan, C. H., and Wei, K. K. (2013), “Helpfulness of online product reviews as seen by consumers: Source and content features,” International Journal of Electronic Commerce, 17(4), pp.101-136. [https://doi.org/10.2753/JEC1086-4415170404]
• Liang, S., Schuckert, M., and Law, R.(2019), “How to improve the stated helpfulness of hotel reviews? A multilevel approach,” International Journal of Contemporary Hospitality Ma- nagement, 31(2), pp.953-977. [https://doi.org/10.1108/IJCHM-02-2018-0134]
• Liang, Y., DeAngelis, B. N., Clare, D. D., Dorros, S. M., and Levine, T. R.(2014), “Message characteristics in online product reviews and consumer ratings of helpfulness,” Southern Communication Journal, 79(5), pp.468-483. [https://doi.org/10.1080/1041794X.2014.933870]
• Liu, Z., and Park, S.(2015), “What makes a useful online review? Implication for travel product websites,” Tourism Management, 47, pp.140- 151. [https://doi.org/10.1016/j.tourman.2014.09.020]
• Luo, C., Luo, X. R., Schatzberg, L., and Sia, C. L. (2013), “Impact of informational factors on online recommendation credibility: The moderating role of source credibility,” Decision Support Systems, 56, pp.92-102. [https://doi.org/10.1016/j.dss.2013.05.005]
• Mudambi, S. M., and Schuff, D.(2010), “Research note: What makes a helpful online review? A study of customer reviews on Amazon.com,” MIS Quarterly, 34(1), pp.185-200. [https://doi.org/10.2307/20721420]
• Mukherjee, P., Parameswaran, S., and Valecha, R. (2021), “Investigating the effect of multi- dimensional review text and anonymity on review helpfulness: An empirical investigation in the context of employer review sites,” 54th Hawaii International Conference on System Sciences. [https://doi.org/10.24251/HICSS.2021.526]
• Pirolli, P., and Card. S.(1999), “Information foraging,” Psychological Review, 106(4), pp.643-675. [https://doi.org/10.1037//0033-295X.106.4.643]
• Parameswaran, S., Mukherjee, P., and Valecha, R. (2023), “I Like My Anonymity: An Empirical Investigation of the Effect of Multidimensional Review Text and Role Anonymity on Helpfulness of Employer Reviews,” Information Systems Frontiers, 25(2), pp.853-870. [https://doi.org/10.1007/s10796-022-10268-3]
• Racherla, P., and Friske, W.(2012), “Perceived ‘usefulness’ of online consumer reviews: An exploratory investigation across three services categories,” Electronic Commerce Research and Applications, 11(6), pp.548-559. [https://doi.org/10.1016/j.elerap.2012.06.003]
• Rietsche, R., Frei, D., Stöckli, E., and Söllner, M. (2019), “Not all reviews are equal—A literature review on online review helpfulness,” European Conference on Information Systems, Stockholm- Uppsala, Sweden.
• Salehan, M., and Kim, D. J.(2016), “Predicting the performance of online consumer reviews: A sentiment mining approach to big data analytics,” Decision Support Systems, 81, pp.30-40. [https://doi.org/10.1016/j.dss.2015.10.006]
• Siering, M., Muntermann, J., and Rajagopalan, B. (2018), “Explaining and predicting online review helpfulness: The role of content and reviewer-related signals,” Decision Support Systems, 108, pp.1-12. [https://doi.org/10.1016/j.dss.2018.01.004]
• Sparks, B. A., So, K. K. F., and Bradley, G. L. (2016), “Responding to negative online reviews: The effects of hotel responses on customer inferences of trust and concern,” Tourism Management, 53, pp.74-85. [https://doi.org/10.1016/j.tourman.2015.09.011]
• Spence, M.(2002), “Signaling in retrospect and the informational structure of markets,” American Economic Review, 92(3), pp.434-459. [https://doi.org/10.1257/00028280260136200]
• Xie, K. L., Zhang, Z., and Zhang, Z.(2014), “The business value of online consumer reviews and management response to hotel performance,” International Journal of Hospitality Manage- ment, 43, pp.1-12. [https://doi.org/10.1016/j.ijhm.2014.07.007]
• Zakaluk, B. L., and Samuels, S. J.(1988), Readability: Its Past, Present, and Future, ERIC No. ED292058, International Reading Association, Newark, DE.
• Zhao, X., Wang, L., Guo, X., and Law, R. (2015), “The influence of online reviews to online hotel booking intentions,” International Journal of Contemporary Hospitality Management, 27(6), pp.1343-1364. [https://doi.org/10.1108/IJCHM-12-2013-0542]
• Zheng, L.(2021), “The classification of online con- sumer reviews: A systematic literature review and integrative framework,” Journal of Business Research, 135, pp.226-251. [https://doi.org/10.1016/j.jbusres.2021.06.038]