With increasing usage of electronic devices, people are creating digital footprints of their everyday actions. These footprints come in the form of big data, and can provide useful insights into customer preferences, thus enabling companies to gain business benefits. However, customers may perceive usage of their personal information as a threat. The telecommunications sector is facing this issue. It is capable of collecting huge amount of data due to wide usage of smartphones and mobile Internet. Yet, it is unable to capitalize on these data. To manage customer perception of information risks in giving telecommunications companies permission to use their personal information, this study examines factors that influence customers’ risk perception. A survey of 512 Internet panel members in Korea shows that information practices play an important role in shaping information privacy concerns, trust, and perceived information risks. Information privacy concern is the strongest predictor of perceived information risks, followed by perceived data control, and trust. Perceived policy awareness and perceived information protection significantly influence perceived data control. The findings imply that telecommunications companies ought to increase the level of customer trust, improve their information practices, and reduce customers’ information privacy concerns if they want to lower customer perception toward information risks.
BanduraA (2001) Social cognitive theory: An agentic perspective. Annual Review of Psychology52(1): 1–26.
2.
BanerjeeA (2011) Addressing “Big Data” telecom requirements for real-time analytics. Heavy Reading.
3.
BarclayDHigginsCThompsonR (1995) The partial least squares (PLS) approach to causal modeling: Personal computer adoption and use as an illustration. Technology Studies2(2): 285–309.
4.
BellmanSLohseGLJohnsonEJ (1999) Predictors of online buying behavior. Communications of the ACM42(12): 32–38.
5.
BrandimarteLAcquistiALoewensteinG (2012) Misplaced confidences: Privacy and the control paradox. Social Psychological and Personality Science0(0): 1–8.
6.
BrownBChuiMManyikaJ (2011) Are you ready for the era of ‘Big Data’?MacKinsey Global Institute.
7.
ChellappaRKPavlouPA (2002) Perceived information security, financial liability and consumer trust in electronic commerce transactions. Logistics Information Management15(5/6): 358–368.
8.
ChinWW (1998) The partial least squares approach for structural equation modeling. In: MarcoulidesGA (ed) Modern methods for business research. Mahwah, NJ: Lawrence Erlbaum Associates, pp. 295–336.
9.
ColumbusL (2012) Roundup of Big Data forecasts and market estimates, 2012. Forbes, 16 August.
10.
CulnanMJArmstrongPK (1999) Information privacy concerns, procedural fairness, and impersonal trust: An empirical investigation. Organization Science10(1): 104–115.
11.
DasTKTengB-S (2001) Trust, control, and risk in strategic alliances: An integrated framework. Organization Studies22(2): 251–283.
12.
DavenportTHHarrisJGMorisonR (2010) Analytics at work: Smarter decisions, better results. Boston, MA: Harvard Business Press.
13.
DinevTHartP (2004) Internet privacy concerns and their antecedents–measurement validity and a regression model. Behaviour & Information Technology23(6): 413–422.
14.
DinevTHartP (2006) An extended privacy calculus model for e-commerce transactions. Information Systems Research17(1): 61–80.
15.
DowlingGRStaelinR (1994) A model of perceived risk and intended risk-handling activity. Journal of Consumer Research21(1): 119–134.
16.
EC_95/461995 (1995) Directive 95/46/ec of the European Parliament and of the Council of 24 October 1995 on the protection of individuals with regard to the processing of personal data and on the free movement of such data.
17.
ET News (2012a) Decline of telcos’ revenue. Will telcos recover it in the second quarter. ET News, 5 August.
18.
ET News (2012b) Why KT invest KRW 100bn in contents fund. ET News, 17 September.
19.
ET News (2013) SKT invest KRW 1,200bn to ICT convergence business. ET News, 9 May.
20.
GanesanS (1994) Determinants of long-term orientation in buyer-seller relationships. Journal of Marketing58(2): 1–19.
21.
GefenD (2000) E-commerce: The role of familiarity and trust. Omega28(6): 725–737.
22.
GefenDKarahannaEStraubDW (2003) Trust and TAM in online shopping: An integrated model. MIS Quarterly27(1): 51–90.
23.
GirardinFCalabreseFFioreFD. (2008) Digital footprinting: Uncovering tourists with user-generated content. Pervasive Computing, IEEE7(4): 36–43.
24.
HäkkiläJChatfieldC (2005) ‘It’s like if you opened someone else’s letter’: User perceived privacy and social practices with SMS communication. In: 7th International Conference on Human Computer Interaction with Mobile Devices & Services (MobileHCI 2005), Salzburg, Austria.
25.
HarrisP (1996) Sufficient grounds for optimism? The relationship between perceived controllability and optimistic bias. Journal of Social and Clinical Psychology15(1): 9–52.
26.
HoffmanDLNovakTPPeraltaM (1999) Building consumer trust online. Communications of the ACM42(4): 80–85.
27.
HuXLinZWhinstonAB. (2004) Hope or hype: On the viability of escrow services as trusted third parties in online auction environments. Information Systems Research15(3): 236–249.
28.
IntronaLPouloudiA (1999) Privacy in the information age: Stakeholders, interests and values. Journal of Business Ethics22(1): 27–38.
29.
JarvenpaaSLTractinskyNVitaleM (2000) Consumer trust in an Internet store. Information Technology and Management1(1–2): 45–71.
30.
JensenCPottsC (2004) Privacy policies as decision-making tools: An evaluation of online privacy notices. In: SIGCHI Conference on Human Factors in Computing Systems (CHI 2004), Vienna, Austria.
31.
JoinsonANReipsU-DBuchananT. (2010) Privacy, trust, and self-disclosure online. Human-Computer Interaction25(1): 1–24.
32.
KateN (1998) Women want privacy. American Demographics20(1): 37.
KimDJFerrinDLRaoHR (2008) A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems44(2): 544–564.
35.
KimM-KParkM-CJeongD-H (2004) The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services. Telecommunications Policy28(2): 145–159.
36.
KleinCTHelweg-LarsenM (2002) Perceived control and the optimistic bias: A meta-analytic review. Psychology and Health17(4): 437–446.
37.
LeeHKimJ (2006) Privacy threats and issues in mobile RFID. In: 1st International Conference on Availability, Reliability, and Security (ARES 2006), Vienna, Austria.
38.
LeeM-C (2009) Factors influencing the adoption of Internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic Commerce Research and Applications8(3): 130–141.
39.
LiHKuoCRusellMG (1999) The impact of perceived channel utilities, shopping orientations, and demographics on the consumer’s online buying behavior. Journal of Computer-Mediated Communication5(2): 0–0.
40.
LiHSarathyRXuH (2010) Understanding situational online information disclosure as a privacy calculus. Journal of Computer Information Systems51(1): 62–71.
41.
LiuCMarchewkaJTLuJ. (2004) Beyond concern: A privacy-trust-behavioral intention model of electronic commerce. Information & Management42(1): 127–142.
42.
McAfeeABrynjolfssonE (2012) Big data: The management revolution. Harvard Business Review90(10): 60–66.
43.
McGuireTManyikaJChuiM (2012) Why Big Data is the new competitive advantage. Ivey Business JournalJuly / August.
44.
MalhotraNKKimSSAgarwalJ (2004) Internet users’ information privacy concerns (IUIPC): The construct, the scale, and a causal model. Information Systems Research15(4): 336–355.
45.
MathewsA (1990) Why worry? The cognitive function of anxiety. Behaviour Research and Therapy28(6): 455–468.
46.
MayerRCDavisJHSchoormanFD (1995) An integrative model of organizational trust. Academy of Management Review20(3): 709–734.
47.
NorbergPAHorneDRHorneDA (2007) The privacy paradox: Personal information disclosure intentions versus behaviors. Journal of Consumer Affairs41(1): 100–126.
48.
NumallyJC (1978) Psychometric theory. New York, NY: McGraw-Hill.
49.
O’NeilD (2001) Analysis of Internet users’ level of online privacy concerns. Social Science Computer Review19(1): 17–31.
50.
ParkN (2011) A study on mobile data protection. Korea Communications Commission.
51.
PavlouPA (2003) Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce7(3): 101–134.
52.
PavlouPAFygensonM (2006) Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior. MIS Quarterly30(1): 115–143.
53.
PhelpsJNowakGFerrellE (2000) Privacy concerns and consumer willingness to provide personal information. Journal of Public Policy & Marketing19(1): 27–41.
54.
ProsserWL (1960) Privacy. California Law Review48(3): 383–423.
55.
RaghunathanRPhamMT (1999) All negative moods are not equal: Motivational influences of anxiety and sadness on decision making. Organizational Behavior and Human Decision Processes79(1): 56–77.
56.
RapeeRMCraskeMGBrownTA. (1996) Measurement of perceived control over anxiety-related events. Behavior Therapy27(2): 279–293.
57.
RingleCMWendeSWillA (2005) SmartPLS 2.0 (M3) Beta, Hamburg. Available inhttp://www.smartpls.de.
58.
SegerstromSCTsaoJCAldenLE. (2000) Worry and rumination: Repetitive thought as a concomitant and predictor of negative mood. Cognitive Therapy and Research24(6): 671–688.
59.
SheehanKB (2002) Toward a typology of Internet users and online privacy concerns. The Information Society18(1): 21–32.
60.
SheinaMBaliS (2012) Dialing into telco data. Reliable data management drives smarter telco business. OVUM.
61.
SiegristMGutscherHEarleTC (2005) Perception of risk: The influence of general trust and general confidence. Journal of Risk Research8(2): 145–156.
62.
SingerEMathiowetzNACouperMP (1993) The impact of privacy and confidentiality concerns on survey participation: The case of the 1990 US census. Public Opinion Quarterly57(4): 465–482.
63.
SmithHJMilbergSJBurkeSJ (1996) Information privacy: Measuring individuals’ concerns about organizational practices. MIS quarterly20(2): 167–196.
64.
SuhBHanI (2003) The impact of customer trust and perception of security control on the acceptance of electronic commerce. International Journal of Electronic Commerce7(3): 135–161.
65.
TRUSTe (2011) Smart privacy for smartphones. Understanding and delivering the protection consumers want. TRUSTe.
66.
Van SlykeCShimJJohnsonR. (2006) Concern for information privacy and online consumer purchasing. Journal of the Association for Information Systems7(6): 415–444.
67.
WestinAF (1967) Privacy and freedom. New York, NY: Atheneum.
68.
XuH (2007) The effects of self-construal and perceived control on privacy concerns. In: 28th Annual International Conference on Information Systems (ICIS 2007), Montréal, Canada.
69.
XuHDinevTSmithJ. (2011) Information privacy concerns: Linking individual perceptions with institutional privacy assurances. Journal of the Association for Information Systems12(12): 798–824.
70.
XuHTeoH-HTanBC. (2012) Research note–Effects of individual self-protection, industry self-regulation, and government regulation on privacy concerns: A study of location-based services. Information Systems Research23(4): 1342–1363.
71.
YamaguchiS (2001) Culture and control orientations. In: MatsumotoD (ed.) The handbook of culture and psychology. New York: Oxford University Press, pp.223–243.
