International students’ university decision quality: The effect of online environment quality,information-task fit,perceived usefulness and social influence
Restricted accessResearch articleFirst published online November, 2023
International students’ university decision quality: The effect of online environment quality,information-task fit,perceived usefulness and social influence
In the world of online marketing, higher education (HE) sectors still question the appropriateness of their online marketing strategies for disseminating suitable information to influence academic matriculation decisions. Different information sources have the potential to positively enhance students’ decision quality through different levels of utilization. This research investigated the influence of online environment quality on international students’ decision quality, and whether information quality (IQ) of the online environment predicts information-task fit (ITF), perceived usefulness and decision quality. The data used for this study was gathered from first- and second-year international students (N = 308) at different universities across six countries. A structural equation modelling approach revealed the significant influence of online environment quality on the decision quality of international students’ university choice through the mediating perceptions of two levels of utilization, ITF and perceived usefulness. Furthermore, the moderating roles of website type and source type showed the significantly different influences of IQ on students’ decision quality. Implications for HE researchers and marketers in improving the online environment quality and marketing are provided.
AjzenI (1991) The theory of planned behavior. Organizational Behavior and Human Decision Processes50: 179–211.
2.
AksakalliV (2012) Optimizing direct response in internet display advertising. Electronic Commerce Research and Applications11(3): 229–240.
3.
AlfattalE (2017) International students’ college choice is different!. International Journal of Educational Management31(7): 930–943.
4.
AndersonJGerbingD (1988) Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin103(3): 411–423.
5.
BentlerPMBonettDG (1980) Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin88(3): 588–606.
6.
BonillaMPereaEOlmoJ, et al. (2020) Insights into user engagement on social media. Case study of a higher education institution. Journal of Marketing for Higher Education30(1): 145–160.
7.
BonnemaJVan der WaldtD (2008) Information and source preferences of a student market in higher education. International Journal of Educational Management22(4): 314–327.
8.
CaiLZhuY (2015) The challenges of data quality and data quality assessment in the big data era. Data Science Journal14(2): 1–10.
9.
ChapmanD (1981) A model of student college choice. Journal of Higher Education52(5): 490–505.
10.
ChenCZimitatC (2006) Understanding Taiwanese students’ decision-making factors regarding Australian international higher education. International Journal of Educational Management20(2): 91–100.
11.
ChungAAndreevPBenyoucefM, et al. (2017) Managing an organization's Social media presence: An empirical stages of growth model. International Journal of Information Management37(1): 1405–1417.
12.
CubilloJSanchezJCervinoJ (2006) International students’ decision-making process. International Journal of Educational Management20(2): 101–115.
13.
DavisF (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly13(3): 319–340.
14.
DeAndreaDCEllisonNBLaRoseR, et al. (2012) Serious social media: On the use of social media for improving students’ adjustment to college. Internet and Higher Education12(1): 15–23.
15.
DedekeA (2016) Travel web-site design: Information task-fit, service quality and purchase intention. Tourism Management54: 541–554.
16.
DeLoneWMcLeanE (2003) The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems19(4): 9–30.
17.
DemoulinNCoussementK (2020) Acceptance of text-mining systems: The signaling role of information quality. Information & Management57(1): 103–120.
18.
ErskineMAKhojahMMcDanielAE (2019) Location selection using heat maps: Relative advantage, task-technology fit, and decision-making performance. Computers in Human Behavior101: 151–162.
19.
FilieriRMcLeayF (2014) E-WOM and accommodation: An analysis of the factors that influence travelers’ adoption of information from online reviews. Journal of Travel Research53(1): 44–57.
20.
FilieriRAlguezauiSMcLeayF (2015) Why do travelers trust TripAdvisor? Antecedents of trust towards consumer-generated media and its influence on recommendation adoption and word of mouth. Tourism Management51: 174–185.
21.
FornellCLarckerD (1981) Evaluating structural equation models with unobserved variables and measurement error. Journal of Marketing Research18(1): 39–50.
22.
FujitaMHarriganPRoyS, et al. (2019) Two-way acculturation in social media: The role of institutional efforts. Technological Forecasting & Social Change145: 532–542.
23.
GhasemaghaeiMCalicG (2019) Can big data improve firm decision quality? The role of data quality and data diagnosticity. Decision Support Systems120: 38–49.
24.
GhasemaghaeiMHassaneinK (2015) Online information quality and consumer satisfaction: The moderating roles of contextual factors – A meta-analysis. Information & Management52(8): 965–981.
25.
GhasemaghaeiMHassaneinK (2016) A macro model of online information quality perceptions: A review and synthesis of the literature. Computers in Human Behavior55: 972–991.
26.
GhasemaghaeiMHassaneinK (2019) Dynamic model of online information quality perceptions and impacts: A literature review. Behavior & Information Technology38(3): 302–317.
27.
GursoyD (2019) A critical review of determinant of information search behavior and utilization of online reviews in decision making process (invited paper for ‘luminaries’ special issue of International Journal of Hospitality Management). International Journal of Hospitality Management76: 53–60.
28.
HairJAndersonRTathamRL, et al. (2010) Multivariate Data Analysis with Readings. Upper Saddle River, NJ: Prentice Hall.
29.
HamidSBukhariSRavanaS, et al. (2016) Role of social media in information-seeking behavior of international students: A systematic literature review. Aslib Journal of Information Management68(5): 643–666.
30.
HenriquesPMatosPJerónimoH, et al. (2018) University or polytechnic? A fuzzy-set approach of prospective students’ choice and its implications for higher education institutions’ managers. Journal of Business Research89: 435–441.
31.
HooperDCoughlanJMullenM (2008) Structural equation modelling: Guidelines for determining model fit. The Electronic Journal of Business Research Methods6: 53–60.
32.
HuLBentlerP (1999) Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal6(1): 1–55.
33.
IsaacOAbdullahZAldholayA, et al. (2019) Antecedents and outcomes of internet usage within organizations in Yemen: An extension of the unified theory of acceptance and Use of technology (UTAUT). Asia Pacific Management Review24(4): 335–354.
34.
JarupathirunSZahediF (2007) Exploring the influence of perceptual factors in the success of web-based spatial DSS. Decision Support Systems43(3): 933–951.
35.
JungEWalsh-ChildersKKimH (2016) Factors influencing the perceived credibility of diet-nutrition information web sites. Computers in Human Behavior58: 37–47.
36.
KangJNamkungY (2019) The information quality and source credibility matter in customers’ evaluation toward food O2O commerce. International Journal of Hospitality Management68: 189–198.
37.
KimSLeeKShinS, et al. (2017) Effects of tourism information quality in social media on destination image formation: The case of Sina Weeibo. Information & Management54(6): 687–702.
38.
KulcsárVDobreanAGatiI (2020) Challenges and difficulties in career decision making: Their causes, and their effects on the process and the decision. Journal of Vocational Behavior116: 1–39.
39.
LeTDobeleARobinsonL (2019) Information sought by perspective students from social media electronic word-of-mouth during the university choice process. Journal of Higher Education Policy and Management41(1): 18–34.
40.
LeeSChenL (2010) The impact of flow on online consumer behavior. Journal of Computer Information Systems50(4): 1–10.
41.
LeeYStrongDKahnB, et al. (2002) AIMQ: A methodology for information quality assessment. Journal of Management40(2): 133–146.
42.
LiangTLinDChenD (2004) Effects of electronic commerce models and industrial characteristics on firm performance. Industrial Management & Data Systems104(111): 538–545.
43.
LiuYLiYZhangH, et al. (2017) Gender difference in information quality of virtual communities: A study from expectation-perception perspective. Personality and Individual Differences104: 224–229.
44.
LoiaconoETWatsonRTGoodhueDL (2007) Webqual: An instrument for consumer evaluation of web sites. Electronic Journal of Electronic Commerce11(3): 51–87.
Nghiêm-PhúBNguyê˜nT (2020) Impacts of perceived country image, institution image and self-image on students’ intention to study abroad: A study in Hanoi, Vietnam. Journal of Marketing for Higher Education30(1): 26–44.
47.
NguyenTSunQGaneshG (2019) Exploring the role of decision- making factors in international student marketing engagement. Journal of Marketing for Higher Education29(2): 230–250.
ParboteeahDValacichJSWellsJD (2009) The influence of website characteristics on a consumer's Urge to buy impulsively. Information Systems Research22(1): 60–78.
50.
ParkDLeeJHanI (2007) The effect of on-line consumer reviews on consumer purchasing intention: The moderating role of involvement. International Journal of Electronic Commerce11(4): 125–148.
51.
PettyRCacioppoJ (1986) The elaboration likelihood model of persuasion. Advances in Experimental Social Psychology19: 123–205.
52.
RingleCWendeSBeckerJ (2015) SmartPLS 3. Boenningstedt: SmartPLS Gmbh. Available at: http://www.smartpls.com.
53.
RocaJCChiuCMMartinezF (2006) Understanding e-learning continuance intention: An extension of the technology acceptance model. International Journal of Human-Computer Studies64(8): 683–696.
54.
SabateFBerbegal-MirabentJCañabateA, et al. (2014) Factors influencing popularity of branded content in facebook fan pages. European Management Journal32(6): 1001–1011.
55.
SaundersMLewisPThornhillA (2016) Research Methods for Business Students. Harlow, UK: Pearson Education Limited.
56.
ShamalaPAhmadRZolaitA, et al. (2017) Integrating information quality dimensions into information security risk management (ISEM). Journal of Information Security and Applications36: 1–10.
57.
ShieldsAPerutaA (2019) Social media and the university decision. Do prospective students really care?Journal of Marketing for Higher Education29(1): 67–83.
58.
SinSC (2015) Demographic differences in international students’ information source uses and everyday information seeking challenges. The Journal of Academic Librarianship41: 466–474.
59.
SohnS (2017) A contextual perspective on consumers’ perceived usefulness: The case of mobile online shopping. Journal of Retailing and Consumer Services38: 22–33.
60.
SovetLMetzA (2014) Parenting styles and career decision-making among French and Korean adolescents. Journal of Vocational Behavior48: 345–355.
VenkateshVMorrisMDavisG, et al. (2003) User acceptance of information technology: Toward a unified view. MIS Quarterly27(3): 425–478.
63.
WangRWStrongDM (1996) Beyond accuracy: What data quality means to data consumers. Journal of Management Information Systems12(4): 5–33.
64.
WhettenDA (2009) An examination of the interface between context and theory applied to the study of Chinese organizations. Management Organization Review5(1): 29–52.
65.
WilkinsSHuismanJ (2015) Factors affecting university image formation among prospective higher education students: The case of international branch campuses. Studies in Higher Education40(7): 1256–1272.
66.
WohnDYEllisonNBKhanML, et al. (2013) The role of social media in shaping first-generation high school students’ college aspirations: A social capital lens. Computers & Education63: 424–436.
67.
WongPLeeDNgP (2018) Online search for information about universities: A Hong Kong study. International Journal of Educational Management32(3): 511–524.
68.
XuFDuJ (2018) Factors influencing users’ satisfaction and loyalty to digital libraries in Chinese universities. Computers in Human Behavior83: 64–72.
69.
XuWSunJMaJ, et al. (2016) A personalized information recommendation system for R&D project opportunity finding in big data contexts. Journal of Network and Computer Applications59: 362–369.
70.
YanQWuSWangL, et al. (2016) E-WOM from e-commerce websites and social media: Which will consumers adopt?Electronic Commerce Research and Applications17: 62–73.
71.
YuQForoudiPGuptaS (2019) Far apart yet close by: Social media and acculturation among international students in the UK. Technological Forecasting & Social Change145: 493–502.
72.
ZhaXYangHYanY, et al. (2018) Exploring the effect of social media information quality, source credibility and reputation of information fit-to-task: Moderating role of focused immersion. Computers in Human Behavior79: 227–237.
73.
ZhangHLuYWangB, et al. (2015) The impact of technological environments and co-creation experience on customer participation. Information & Management52(4): 468–482.
74.
ZhangHZhaoLGuptaS (2018) The role of online product recommendations on consumer decision making and loyalty in social shopping communities. International Journal of Information Management38(1): 150–166.
75.
ZhouT (2012) Understanding users’ initial trust in mobile banking: An elaboration likelihood perspective. Computers in Human Behavior28(4): 1518–1525.
76.
ZhuY (2019) Social media engagement and Chinese international student recruitment: Understanding how UK HEIs use Weibo and WeChat. Journal of Marketing for Higher Education29(2): 173–190.
