This study aims at contributing to literature by investigating the role of espoused culture in influencing nomophobia. In the present study, the Nomophobia Questionnaire (NMP-Q) and Individualism-Collectivism (INDCOL) Scale were used to measure nomophobia and horizontal/vertical collectivism. The psychometric properties of the scales were examined against the data collected from 485 undergraduate students in Turkey (Mean age = 22.11, SD = 3.84). A structural equation modeling approach was used to test the hypothesized relationships. Results suggested that the relationship between vertical collectivism and nomophobia was significant and positive (.31), while the relationship between horizontal collectivism and nomophobia was not significant (and negative; -.15). The points raised in the present study should be taken into account when designing treatment and prevention programs in dealing with nomophobia.
AgishteinPBrumbaughC (2013) Cultural variation in adult attachment: The impact of ethnicity, collectivism, and country of origin. Journal of Social, Evolutionary, and Cultural Psychology7(4): 384–405.
2.
AinsworthMDSBellSM (1970) Attachment, exploration, and separation: Illustrated by the behavior of one-year-olds in a strange situation. Child Development41, 49–67.
3.
American Psychiatric Association (2013) Diagnostic and Statistical Manual of Mental Disorders, 5th Edition: DSM-5. Washington (DC): American Psychiatric Association.
4.
ArpaciI (2015) A comparative study of the effects of cultural differences on the adoption of mobile learning. British Journal of Educational Technology46(4): 699–712. Doi: 10.1111/bjet.12160
5.
ArpaciI (2016) Understanding and predicting students’ intention to use mobile cloud storage services. Computers in Human Behavior58, 150–157. Doi: 10.1016/j.chb.2015.12.067
6.
ArpaciI (2017) Antecedents and consequences of cloud computing adoption in education to achieve knowledge management. Computers in Human Behavior70, 382–390. Doi: 10.1016/j.chb.2017.01.024
7.
ArpaciIBaloğluM (2016) The impact of cultural collectivism on knowledge sharing among information technology majoring undergraduates. Computers in Human Behavior56, 65–71. Doi: 10.1016/j.chb.2015.11.031
8.
ArpaciIYardimci CetinYTuretkenO (2015) A cross-cultural analysis of smartphone adoption by Canadian and Turkish organizations. Journal of Global Information Technology Management18(3): 214–238. Doi: 10.1080/1097198X.2015.1080052
9.
AsonguSNwachukwuJC (2017) Mobile phones in the diffusion of knowledge and persistence in inclusive human development in Sub-Saharan Africa. Information Development33(3): 289–302. Doi: 10.1177/0266666916655189
10.
AssunçãoRSCostaPTagliabueSMatosPM (2017) Problematic Facebook use in adolescents: Associations with parental attachment and alienation to peers. Journal of Child and Family Studies1–9. Doi: 10.1007/s10826-017-0817-2
11.
BentlerPM (1990) Comparative fit indexes in structural models. Psychological Bulletin107, 238–246.
12.
BentlerPMBonettDG (1980) Significance tests and goodness-of-fit in the analysis of covariance structures. Psychological Bulletin88, 588–606.
13.
BlackwellDLeamanCTramposchROsborneCLissM (2017) Extraversion, neuroticism, attachment style and fear of missing out as predictors of social media use and addiction. Personality and Individual Differences116, 69–72.
14.
BollenKA (1989) Structural Equations with Latent Variables. New York: Wiley.
15.
BragazziNLDel PuenteG (2014) A proposal for including nomophobia in the new DSM-V. Psychology Research and Behavior Management7, 155–160.
16.
ChauPYColeMMasseyAPMontoya-WeissMO’KeefeRM (2002) Cultural differences in the online behavior of consumers. Communications of the ACM45(10): 138–143.
17.
ChenLNathR (2016) Understanding the underlying factors of Internet addiction across cultures: A comparison study. Electronic Commerce Research and Applications17, 38–48.
18.
ChiuSI (2014) The relationship between life stress and smartphone addiction on Taiwanese university student: A mediation model of learning self-efficacy and social self-efficacy. Computers in Human Behavior34, 49–57.
19.
CohenJ (1994) The earth is round (p < .05). American Psychologist49, 997–1003.
20.
DixitSShuklaHBhagwatAKBindalAGoyalAZaidiAKShrivastavaA (2010) A study to evaluate mobile phone dependence among students of a medical college and associated hospital of central India. Indian Journal of Community Medicine35(2): 339–341.
21.
FangT (2012) Yin Yang: A new perspective on culture. Management and Organization Review8(1): 25–50.
22.
FosterDWYeungNQuistMC (2014) The influence of individualism and drinking identity on alcohol problems. International Journal of Mental Health and Addiction12(6): 747–758.
23.
FríasMTShaverPRDíaz-LovingR (2014) Individualism and collectivism as moderators of the association between attachment insecurities, coping, and social support. Journal of Social and Personal Relationships31(1): 3–31.
24.
FriedmanMRholesWSSimpsonJBondMDiaz-LovingRChanC (2010) Attachment avoidance and the cultural fit hypothesis: A cross-cultural investigation. Personal Relationships17, 107–126.
25.
FullwoodCQuinnSKayeLKReddingC (2017) My virtual friend: A qualitative analysis of the attitudes and experiences of smartphone users: Implications for smartphone attachment. Computers in Human Behavior75, 347–355.
26.
GambrelPACianciR (2003) Maslow’s hierarchy of needs: Does it apply in a collectivist culture. Journal of Applied Management and Entrepreneurship8(2): 143–161.
27.
GlennSS (2004) Individual behavior, culture, and social change. The Behavior Analyst27(2): 133–151.
28.
GreenEGDeschampsJCPaezD (2005) Variation of individualism and collectivism within and between 20 countries: A typological analysis. Journal of Cross-Cultural Psychology36(3): 321–339.
29.
GriffithsM (1996) Gambling on the Internet: A brief note. Journal of Gambling Studies12(4): 471–473.
30.
HairJFTathamRLAndersonREBlackCW (2006) Multivariate Data Analysis. Upper Saddle River, NJ: Pearson Prentice Hall.
31.
HofstedeG (1983) National cultures in four dimensions: A research-based theory of cultural differences among nations. International Studies of Management and Organization13(1–2): 46–74.
32.
HofstedeG (2001) Culture’s Consequences: Comparing values, behaviors, institutions, and organizations across nations. Thousand Oaks, CA: Sage.
33.
HofstedeG (2003) Culture’s Consequences: Comparing values, behaviors, institutions and organizations across nations (2nd ed.) Thousand Oaks, CA: Sage Publications.
34.
HofstedeGHofstedeGJMinkovM (2010) Cultures and Organizations: Software of the mind (3rd ed.) New York: McGraw-Hill.
35.
HongFYChiuSIHuangDH (2012) A model of the relationship between psychological characteristics, mobile phone addiction and use of mobile phones by Taiwanese university female students. Computers in Human Behavior28(6): 2152–2159.
36.
HornikSTupchiyA (2006) Culture’s impact on technology mediated learning: The role of horizontal and vertical individualism and collectivism. Journal of Global Information Management14(4): 31.
37.
HouseRJHangesPJJavidanMDorfmanPWGuptaV (2004) Culture, Leadership, and Organizations: The GLOBE study of 62 societies. Thousand Oaks, CA: Sage Publications.
38.
HoyleRH (1995) The structural equation modeling approach: Basic concepts and fundamental issues. In HoyleRH (ed.) Structural Equation Modeling: Concepts, issues, and applications, (pp. 1–15). Thousand Oaks, CA: Sage Publications.
KimMJChungNLeeCKPreisMW (2016) Why do smartphone shoppers help others on websites? The effects of attachments on reciprocal altruism. Information Development32(4): 920–936.
43.
KingALSValençaAMNardiAE (2010) Nomophobia: the mobile phone in panic disorder with agoraphobia: reducing phobias or worsening of dependence?Cognitive and Behavioral Neurology23(1): 52–54.
44.
KingALSValençaAMSilvaACOBaczynskiTCarvalhoMRNardiAE (2013) Nomophobia: Dependency on virtual environments or social phobia?Computers in Human Behavior29(1): 140–144.
45.
KingALSValençaAMSilvaACSancassianiFMachadoSNardiAE (2014) “Nomophobia”: Impact of cell phone use interfering with symptoms and emotions of individuals with panic disorder compared with a control group. Clinical Practice and Epidemiology in Mental Health10(1): 28–35.
46.
KlineRB (2005) Principles and Practice of Structural Equation Modeling (2nd ed.) New York: The Guilford Press.
47.
LeeYKChangCTLinYChengZH (2014) The dark side of smartphone usage: Psychological traits, compulsive behavior and technostress. Computers in Human Behavior31, 373–383.
48.
LopezSGGarzaRTGonzalez-BlanksAG (2012) Preventing smoking among Hispanic preadolescents: Program orientation, participant individualism-collectivism, and acculturation. Hispanic Journal of Behavioral Sciences34(2): 323–339.
49.
MaedaSShimadaHSatoTTashiroKTanakaY (2017) Translation and initial validation of the Japanese version of the self-beliefs related to social anxiety scale. Psychological Reports120(2): 305–318.
50.
MakMCKBondMHSimpsonJARholesWS (2010) Adult attachment, perceived support, and depressive symptoms in Chinese and American cultures. Journal of Social and Clinical Psychology29(2): 144–165.
51.
MarkusHRKitayamaS (1991) Culture and the self: Implications for cognition, emotion, and motivation. Psychological Review98(2): 224–253.
52.
MarshHWBallaJRMcDonaldRP (1988) Goodness-of-fit indexes in confirmatory factor analysis: The effect of sample size. Psychological Bulletin103(3): 391–410.
53.
NathRMurthyNR (2004) A study of the relationship between Internet diffusion and culture. Journal of International Information Management13(2): 123–132.
54.
OulasvirtaARattenburyTMaLRaitaE (2012) Habits make smartphone use more pervasive. Personal and Ubiquitous Computing16(1): 105–114.
55.
ParkHRehgMTLeeD (2005) The influence of Confucian ethics and collectivism on whistleblowing intentions: A study of South Korean public employees. Journal of Business Ethics58(4): 387–403.
56.
ParkNKimYCShonHYShimH (2013) Factors influencing smartphone use and dependency in South Korea. Computers in Human Behavior29(4): 1763–1770.
57.
PoongYSYamaguchiSTakadaJI (2017) Investigating the drivers of mobile learning acceptance among young adults in the World Heritage town of Luang Prabang, Laos. Information Development33(1): 57–71.
58.
RamamoorthyNKulkarniSPGuptaAFloodPC (2007) Individualism-collectivism orientation and employee attitudes: A comparison of employees from the high-technology sector in India and Ireland. Journal of International Management13(2): 187–203.
59.
RobertsJAPulligCManolisC (2015) I need my smartphone: A hierarchical model of personality and cell-phone addiction. Personality and Individual Differences79, 13–19.
60.
SalehanMNegahbanA (2013) Social networking on smartphones: When mobile phones become addictive. Computers in Human Behavior29(6): 2632–2639.
61.
Sánchez-FrancoMJRoldánJL (2005) Web acceptance and usage model: A comparison between goal-directed and experiential web users. Internet Research15(1): 21–48.
62.
SchimmentiAPassanisiAGervasiAMManzellaSFamàFI (2014) Insecure attachment attitudes in the onset of problematic Internet use among late adolescents. Child Psychiatry and Human Development45(5): 588–595.
63.
SchwartzSH (1990) Individualism-collectivism: Critique and proposed refinements. Journal of Cross-Cultural Psychology21(2): 139–157.
64.
SchwartzSH (1994) Beyond Individualism/Collectivism: New cultural dimensions of values. Sage Publications, Newbury Park, CA.
65.
SeolJ (2016) Self-disclosure in American friendships: links with collectivism and adult attachment styles (Doctoral dissertation, San Francisco State University).
66.
ShoninEVan GordonWGriffithsMD (2014) The emerging role of Buddhism in clinical psychology: Toward effective integration. Psychology of Religion and Spirituality6, 123–137.
67.
SingelisTMTriandisHCBhawukDPSGelfandMJ (1995) Horizontal and vertical dimensions of individualism and collectivism: A theoretical and measurement refinement. Cross-Cultural Research29, 240–275.
68.
SriteMKarahannaE (2006) The role of espoused national cultural values in technology acceptance. MIS Quarterly30(3): 679–704.
69.
StraubDLochKEvaristoRKarahannaESriteM (2002) Toward a theory-based measurement of culture. Human Factors in Information Systems10(1): 61–65.
70.
TriandisHCGelfandMJ (1998) Converging measurement of horizontal and vertical individualism and collectivism. Journal of Personality and Social Psychology74(1): 118–128.
71.
TriandisHCSuhEM (2002) Cultural influences on personality. Annual Review of Psychology53(1): 133–160.
72.
Van SlykeCLouHBelangerFSridharV (2010) The influence of culture on consumer-oriented electronic commerce adoption. Journal of Electronic Commerce Research11(1): 30.
73.
VargasJHKemmelmeierM (2013) Ethnicity and contemporary American culture: A meta-analytic investigation of horizontal-vertical individualism-collectivism. Journal of Cross-Cultural Psychology44(2): 195–222.
74.
WangJLWangHZGaskinJWangLH (2015) The role of stress and motivation in problematic smartphone use among college students. Computers in Human Behavior53, 181–188.
75.
WastiAErdilES (2007) Measurement of individualism and collectivism: Validation of the self construal scale and INDCOL in Turkish. Yönetim Araştırmaları Dergisi7(1–2): 39–66.
76.
WuTLuYGongXGuptaS (2017) A study of active usage of mobile instant messaging application: An attachment theory perspective. Information Development33(2): 153–168.
77.
YildirimCCorreiaAP (2015) Exploring the dimensions of nomophobia: Development and validation of a self-reported questionnaire. Computers in Human Behavior49, 130–137.
78.
YildirimCSumuerEAdnanMYildirimS (2016) A growing fear: Prevalence of nomophobia among Turkish college students. Information Development32(5): 1322–1331.
