Understanding Data Analytics Recommendation Execution: The Role of Recommendation Quality

References

• Chirapurath J. The key to a data-driven culture; 2019. [accessed 2021 Apr 20]. https://azure.microsoft.com/en-us/blog/the-key-to-a-data-driven-culture-timely-insights/.
   Google Scholar
• Gartner Magic Quadrant. 2021. [accessed 2021 Apr 20]. https://www.qlik.com/us/lp/sem/gartner-magic-quadrant-2021
   Google Scholar
• Ghasemaghaei M. Does data analytics use improve firm decision making quality? The role of knowledge sharing and data analytics competency. Decis Support Syst. 2019;120:14–24. doi:10.1016/j.dss.2019.03.004.
   Web of Science ®Google Scholar
• Geopfert J, Shirer M. Revenues for big data and business analytics; 2019. [accessed 2021 Apr 20]. https://www.businesswire.com/news/home/20190404005662/en/IDC-Forecasts-Revenues-for-Big-Data-and-Business-Analytics-Solutions-Will-Reach-189.1-Billion-This-Year-with-Double-Digit-Annual-Growth-Through-2022.
   Google Scholar
• iBASEt. Big data analytics; 2019. [accessed 2021 Apr 20]. https://www.ibaset.com/56-of-enterprises-will-increase-their-investment-in-big-data-analytics-over-the-next-three-years/.
   Google Scholar
• Help Net Security. How much organizations are investing in analytics; 2019. [accessed 2021 Apr 20]. https://www.helpnetsecurity.com/2019/10/22/investing-in-analytics/.
   Google Scholar
• Davenport T, Guszcza J, Smith T. Insight-driven organization; 2019. [accessed 2021 Apr 20]. https://www2.deloitte.com/us/en/insights/topics/analytics/insight-driven-organization.html.
   Google Scholar
• Bean R, Davenport T. Companies are failing in their efforts to become data-driven. Harv Bus Rev . 2019:5–8.
   Google Scholar
• Swain G Intuition vs. data-driven decision making in business. [accessed 2021 Nov 14]. https://www.insightly.com/2020/08/intuition-vs-data-in-business/.
   Google Scholar
• Bi-Survey.com. How many business decisions are based on gut feel rather than data? [accessed 2021 Nov 14]. https://bi-survey.com/business-decisions-gut-feel.
   Google Scholar
• Mehrabian A, Russell J. An approach to environmental psychology. The MIT Press; 1974.
   Google Scholar
• Teng S, Khong K. Persuasive electronic word-of-mouth messages in social media. Journal of Computer Information Systems. 2016;57(1):76–88.
   Google Scholar
• Lim WM. The influence of internet advertising and electronic word of mouth on consumer perceptions and intention. Journal of Computer Information Systems. 2015;55(4):81–89.
   Web of Science ®Google Scholar
• Troshani I, Hill SR. Do we trust in AI? Role of anthropomorphism and intelligence Journal of Computer Infomation Systems. 2020;1–11.
   Google Scholar
• Wang W, Benbasat I. Recommendation agents for electronic commerce: effects of explanation facilities on trusting beliefs. J Manag Inf Syst. 2007;23(4):217–46. doi:10.2753/MIS0742-1222230410.
   Web of Science ®Google Scholar
• Mathai N, McGill T, Toohey D. Factors Influencing Consumer Adoption of Electronic Health Records. Journal of Computer Information Systems. 2020;1–11.
   Web of Science ®Google Scholar
• Laugesen J, Hassanein K, Yuan Y. The impact of internet health information on patient compliance: a research model and an empirical study. J Med Internet. 2015;17(6):e143. doi:10.2196/jmir.4333.
   PubMed Web of Science ®Google Scholar
• Hwang I, Wakefield R, Kim S. Security awareness: The first step in information security compliance behavior. Journal of Computer Information Systems. 2021;61(4):345–356.
   Web of Science ®Google Scholar
• Nilashi M, Ahmadi H, Ahani A. Determining the importance of hospital information system adoption factors using fuzzy analytic network process. Technol Forecast Soc Change. 2016;111:244–64. doi:10.1016/j.techfore.2016.07.008.
   Web of Science ®Google Scholar
• Bui S, Kettinger WJ, Park I. Identity sharing and adaptive personalization influencing online repurchases. J Comput Inf Syst. 2021:1–12.
   Web of Science ®Google Scholar
• Chen H, Chiang RHL, Storey VC. Business intelligence and analytics. MIS Q. 2012;36(4):1165. doi:10.2307/41703503.
   Web of Science ®Google Scholar
• McNee SM, Riedl J, Konstan JA Being accurate is not enough. In: Conf. Hum. Factors Comput. Syst; 2006; New York, USA.
   Google Scholar
• Bo X, Benbasat I. e-commerce product recommendation agents. MIS Q. 2007:137–209.
   Web of Science ®Google Scholar
• Kerse N, Buetow S, Mainous AG. Physician-patient relationship and medication compliance: a primary care investigation. Ann Fam Med. 2004;2(5):455–61. doi:10.1370/afm.139.
   PubMed Web of Science ®Google Scholar
• Shoemaker SJ, Wolf MS, Brach C. Development of the Patient Education Materials Assessment Tool (PEMAT): a new measure of understandability and actionability for print and audiovisual patient information. Patient Educ Couns. 2014;96(3):395–403. doi:10.1016/j.pec.2014.05.027.
   PubMed Web of Science ®Google Scholar
• Pelaez A, Chen C. Effects of perceived risk on intention to purchase: A meta-analysis . Journal of Computer Information Systems. 2017;59(1):73–84.
   Google Scholar
• Garbarino E, Strahilevitz M. Gender differences in the perceived risk of buying online and the effects of receiving a site recommendation. J Bus Res. 2004;57(7):768–75. doi:10.1016/S0148-2963(02)00363-6.
   Web of Science ®Google Scholar
• Paliszkiewicz J. Information security policy compliance: Leadership and Trust. J Comput Inf Syst. 2019. doi:10.1080/08874417.2019.1571459.
   Google Scholar
• Salehan M, Kim DJ, Lee J-N. Are there any relationships between technology and cultural values? A country-level trend study of the association between information communication technology and cultural values. Inf Manag. 2018;55(6):725–45. doi:10.1016/j.im.2018.03.003.
   Web of Science ®Google Scholar
• Ghasemaghaei M. Are firms ready to use big data analytics to create value? The role of structural and psychological readiness. Enterp Inf Syst. 2019;13(5):650–74. doi:10.1080/17517575.2019.1576228.
   Web of Science ®Google Scholar
• Gupta M, George JF. Toward the development of a big data analytics capability. Inf Manag. 2016;53(8):1049–64. doi:10.1016/j.im.2016.07.004.
   Web of Science ®Google Scholar
• Gantz J The digital universe in 2020. speicherguide.de; 2012.
   Google Scholar
• Cegielski CG, Jones-Farmer LA. Knowledge, skills, and abilities for entry-level business analytics positions: a multi-method study. Decis Sci J Innov. 2016;14(1):91–118. doi:10.1111/dsji.12086.
   Web of Science ®Google Scholar
• Wang W, Benbasat I. Interactive decision aids for consumer decision making in E-commerce. MIS Q. 2009;33(2):293. doi:10.2307/20650293.
   Web of Science ®Google Scholar
• Benlian A. Web personalization cues and their differential effects on user assessments of website value. J Manag Inf Syst. 2015;32(1):225–60. doi:10.1080/07421222.2015.1029394.
   Web of Science ®Google Scholar
• Peng C, Kim YG. Application of the Stimuli-Organism-Response (S-O-R) framework to online shopping behavior. J Internet Commer. 2014;13(3–4):159–76. doi:10.1080/15332861.2014.944437.
   Google Scholar
• Animesh A, Pinsonneault A, Yang SB. An odyssey into virtual worlds. MIS Q. 2011;35(3):789. doi:10.2307/23042809.
   Web of Science ®Google Scholar
• Williams R, Dargel M. From servicescape to “cyberscape.” Mark Intell Plan. 2004;22(3):310–20. doi:10.1108/02634500410536894.
   Google Scholar
• Brown S, Dennis A, Venkatesh V. Predicting collaboration technology use. J Manag Inf Syst. 2010;27(2):9–54. doi:10.2753/MIS0742-1222270201.
   Web of Science ®Google Scholar
• Matook S, Brown SA, Rolf J. Forming an intention to act on recommendations given via online social networks. Eur J Inf Syst. 2015;24(1):76–92. doi:10.1057/ejis.2013.28.
   Web of Science ®Google Scholar
• Lee CS, Watson-Manheim MB, Ramaprasad A. Exploring the relationship between communication risk perception and communication portfolio. IEEE Trans Prof Commun. 2007;50(2):130–46. doi:10.1109/TPC.2007.897608.
   Web of Science ®Google Scholar
• Horne R, Weinman J, Barber N. Concordance, adherence and compliance in medicine taking. academia.edu; 2005.
   Google Scholar
• Zeithaml V, Leonard B, Parasuraman A, Barry, L. The behavioral consequences of service quality. Journal of Marketing. 1996:31–46.
   Google Scholar
• Brady MK, Cronin JJ. Some new thoughts on conceptualizing perceived service quality. J Mark. 2001;65(3):34–49. doi:10.1509/jmkg.65.3.34.18334.
   Web of Science ®Google Scholar
• Ghasemaghaei M, Ebrahimi S, Hassanein K. Data analytics competency for improving firm decision making performance. J Strateg Inf Syst. 2018;27(1):101–13. doi:10.1016/j.jsis.2017.10.001.
   Web of Science ®Google Scholar
• Ghasemaghaei M. Improving organizational performance through the use of big data. J Comput Inf Syst. 2020. doi:10.1080/08874417.2018.1496805.
   Google Scholar
• Tayi GK, Ballou DP. Examining data quality. Commun ACM. 1998;41(2):54–57. doi:10.1145/269012.269021.
   Web of Science ®Google Scholar
• Lycett M. Making sense of (big) data in a complex world. Eur J Inf Syst. 2013;22(4):381–86. doi:10.1057/ejis.2013.10.
   Web of Science ®Google Scholar
• Seshadrinathan K, Soundararajan R, Bovik AC. Study of subjective and objective quality assessment of video. IEEE Trans Image. 2010;19(6):1427–41. doi:10.1109/TIP.2010.2042111.
   PubMed Web of Science ®Google Scholar
• Knijnenburg BP, Willemsen MC, Gantner Z Explaining the user experience of recommender systems. User Model; 2012.
   Google Scholar
• Wagenaar BH, Gimbel S, Hoek R, Pfeiffer J, Michel C, Manuel JL, Cuembelo F, Quembo T, Afonso P, Porthé V. Effects of a health information system data quality intervention on concordance. Popul Health Metr. 2015;13. doi:10.1186/s12963-015-0043-3.
   PubMedGoogle Scholar
• Ahmad K, JianMing Z, Rafi M. An analysis of academic librarians competencies and skills for implementation of Big Data analytics. Data Technol Appl. 2019;53(2):201–16. doi:10.1108/DTA-09-2018-0085.
   Web of Science ®Google Scholar
• Rocque GB, Williams CP, Kenzik KM, Jackson BE, Azuero A, Halilova KI, Ingram SA, Pisu M, Forero A, Bhatia S. Concordance with NCCN treatment guidelines. Cancer. 2018;124(21):4231–40. doi:10.1002/cncr.31694.
   PubMedGoogle Scholar
• Kumar M, Antony J, Cho BR. Project selection and its impact on the successful deployment of Six Sigma. Business Process Management Journal. 2009;15(5):669–86. doi:10.1108/14637150910987900.
   Google Scholar
• Bettman JR. Perceived risk and its components. J Mark Res. 1973;10(2):184–90. doi:10.1177/002224377301000209.
   Web of Science ®Google Scholar
• Roselius T. Consumer rankings of risk reduction methods. J Mark. 1971;35(1):56–61. doi:10.1177/002224297103500110.
   Web of Science ®Google Scholar
• Palvia P. The role of trust in e-commerce relational exchange. Inf Manag. 2009;46(4):213–20. doi:10.1016/j.im.2009.02.003.
   Web of Science ®Google Scholar
• Zhitomirsky-Geffet M, Zadok A. Risk analysis and prediction in welfare institutions. AI Soc. 2018;33(4):511–25. doi:10.1007/s00146-017-0735-2.
   Web of Science ®Google Scholar
• Nicolaou AI, Bhattacharya S. Organizational performance effects of ERP systems usage. Int J Account Inf Sys. 2006;7(1):18–35. doi:10.1016/j.accinf.2005.12.002.
   Google Scholar
• Barlow SE. Expert committee recommendations regarding the prevention, assessment, and treatment of child and adolescent overweight and obesity. Pediatrics. 2007;120(Supplement 4):S164–S192. doi:10.1542/peds.2007-2329C.
   PubMed Web of Science ®Google Scholar
• Denniston MM, Brener ND, Kann L. Comparison of paper-and-pencil versus web administration of the youth risk behavior survey. Comput Human Behavior. 2010;25(5):1054–1060.
   Google Scholar
• Watt A 2014. Resource planning.
   Google Scholar
• Smith BW. Regulation and the risk of inaction. Springer Berlin Heidelberg. 2015:593–609.
   Google Scholar
• Roldán J, Sánchez-Franco M. Variance-based structural equation modeling: Guidelines for using partial least squares in information systems research. Res Methodol Innov Philos Softw. 2012:193–221.
   Google Scholar
• Churchill G, Iacobucci D. Marketing research: methodological foundations. Marketing research: methodological foundations. 2006.
   Google Scholar
• Johnson JS, Friend SB, Lee HS. Big data facilitation, utilization, and monetization. J Prod Innov Manag. 2017;34(5):640–58. doi:10.1111/jpim.12397.
   Web of Science ®Google Scholar
• Armstrong JS, Overton TS. Estimating nonresponse bias in mail surveys. J Mark Res. 1977;14(3):396–402. doi:10.1177/002224377701400320.
   Web of Science ®Google Scholar
• Heggestad ED, Scheaf DJ, Banks GC. Scale adaptation in organizational science research. J Manage. 2019;45(2):567–99. doi:10.1177/0149206318786781.
   PubMedGoogle Scholar
• Zhao Z, Balagué C. Designing branded mobile apps: fundamentals and recommendations. Bus Horiz. 2015;58(3):305–15. doi:10.1016/j.bushor.2015.01.004.
   Web of Science ®Google Scholar
• Harrison Mcknight D, Choudhury V. The impact of initial consumer trust on intentions to transact with a web site. J Strateg Inf Syst. 2002;11(3–4):297–323. doi:10.1016/S0963-8687(02)00020-3.
   Web of Science ®Google Scholar
• Coote A, Allen J, Woodhead D. Finding out what works. London: King Fund: Building knowledge about complex, community-based initiatives. 2004.
   Google Scholar
• Corbitt BJ, Thanasankit T, Yi H. Trust and e-commerce: a study of consumer perceptions. Electronic commerce research and applications 2.3 . 2003:203-215.
   Google Scholar
• Kim SE, Lee KY, Shin S. Effects of tourism information quality in social media on destination image formation. Inf Manag. 2017;54(6):687–702. doi:10.1016/j.im.2017.02.009.
   Web of Science ®Google Scholar
• Meyers LS, Gamst G, Guarino AJ. Applied multivariate research design and interpretation. Sage Publication; 2016.
   Google Scholar
• Van Den Broeck J, Cunningham SA, Eeckels R. Data. PLoS Med. 2005;2(10). doi:10.1371/journal.pmed.0020267.
   PubMedGoogle Scholar
• Nishant R, Srivastava SC, Teo TSH. Using polynomial modeling to understand service quality in e-government websites. MIS Q. 2019;43(3):807–26. doi:10.25300/MISQ/2019/12349.
   Web of Science ®Google Scholar
• Ghasemaghaei M, Calic G. Can big data improve firm decision quality? Decis Support Syst. 2019;120:38–49. doi:10.1016/j.dss.2019.03.008.
   Web of Science ®Google Scholar
• Belsley D, Kuh E, Welsch R 2005. Regression diagnostics.
   Google Scholar
• Raykov T. Scale reliability, Cronbach’s coefficient alpha, and violations of essential tau-equivalence. Multivariate Behav. 1997;32(4):329–53. doi:10.1207/s15327906mbr3204_2.
   PubMed Web of Science ®Google Scholar
• Bagozzi RP, Yi Y. On the evaluation of structural equation models. J Acad Mark Sci. 1988;16(1):74–94. doi:10.1007/BF02723327.
   Google Scholar
• Fornell C, Larcker DF. Structural equation models with unobservable variables and measurement error. J Mark. 1981;18(3):382–88. doi:10.1177/002224378101800313.
   Web of Science ®Google Scholar
• Gefen D, Straub D, Gefen D 2005. A practical guide to factorial validity using PLS-graph.
   Google Scholar
• Diamantopoulos A, Winklhofer HM. Index construction with formative indicators. J Mark. 2001;38(2):269–77. doi:10.1509/jmkr.38.2.269.18845.
   Web of Science ®Google Scholar
• Cohen J. Quantitative methods in psychology. Psychol Bull. 1992;112(1):155–59. doi:10.1037//0033-2909.112.1.155.
   PubMed Web of Science ®Google Scholar
• Hair JF, Sarstedt M, Matthews LM. Identifying and treating unobserved heterogeneity with FIMIX-PLS. European Business Review. 2016:407–429.
   Google Scholar
• Lindell MK, Whitney DJ. Accounting for common method variance in cross-sectional research designs. J Appl Psychol. 2001;86(1):114–21. doi:10.1037/0021-9010.86.1.114.
   PubMed Web of Science ®Google Scholar
• Wetzels M, Odekerken-Schröder G, Van Oppen C. Using PLS path modeling for assessing hierarchical construct models. MIS Q. 2009;33(1):177. doi:10.2307/20650284.
   Web of Science ®Google Scholar
• Doane AN, Kelley ML, Chiang ES. Development of the cyberbullying experiences survey. Emerg Adulthood. 2013;1(3):207–18. doi:10.1177/2167696813479584.
   Google Scholar
• Straub D, Boudreau M 2004. Validation guidelines for IS positivist research. https://www.aisel.aisnet.org.
   Google Scholar