Gender Differences in Technology Usage—A Literature Review

The usage of Information Technology has expanded dramatically in today’s homes, business organizations and Government departments Technology has become an inevitable part of human life. Researchers have come up with various models and theories to investigate factors that influence the extent to which humans use computers and its applications. Unified Theory of Adoption and Use of Technology (UTAUT) is the latest model which has been conceived to understand the nature of technology usage and has been applied in various domains like education, banking, health care etc. Gender has been attributed as a significant variable in explaining the technology acceptance behaviour of humans. The objective of this study is to review the existing literature on the technology usage and intention to use technology from the gender perspective. It has been observed from the review that in few contexts, gender plays a significant role in determining the intention of accepting new technology and there are cases where gender differences cannot be discerned.

[1]  Tommi Laukkanen,et al.  Mobile banking rollout in emerging markets: evidence from Brazil , 2010 .

[2]  Jianwei Hou Stock Trading : Do Demographics , Internet Usage , and Attitudes Matter ? , 2015 .

[3]  Kaitlyn Flad,et al.  The Influence of Social Networking Participation on Student Academic Performance Across Gender Lines , 2010 .

[4]  R. Orji,et al.  Impact of Gender and Nationality on Acceptance of a Digital Library: An Empirical Validation of Nationality Based UTAUT Using SEM , 2010 .

[5]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[6]  Hiroshi Ono,et al.  Gender Differences in Information Technology Usage: A U.S.-Japan Comparison , 2004 .

[7]  Arumugam Raman,et al.  Usage of Learning Management System (Moodle) among Postgraduate Students: UTAUT Model , 2014 .

[8]  Yeoh Sok Foon,et al.  Internet Banking Adoption in Kuala Lumpur: An Application of UTAUT Model , 2011 .

[9]  N Narasimhamurthy,et al.  Cultural Impact and Gender on Indian Young Adults in Using Social Networking Sites , 2014 .

[10]  Sneha Sharma,et al.  The Impact of Gender on Attitude Towards Computer Technology and E- Learning: An Exploratory Study of Punjab University, India , 2013 .

[11]  Taesik Lee,et al.  Gender differences in consumers’ perception of online consumer reviews , 2011, Electron. Commer. Res..

[12]  Chorng-Shyong Ong,et al.  Gender differences in perceptions and relationships among dominants of e-learning acceptance , 2006, Comput. Hum. Behav..

[13]  Fred D. Davis,et al.  A critical assessment of potential measurement biases in the technology acceptance model: three experiments , 1996, Int. J. Hum. Comput. Stud..

[14]  Margaret Tan,et al.  Adopters and non-adopters of internet stock trading in Singapore , 2004, Behav. Inf. Technol..

[15]  Steve Jones,et al.  U.S. College Students' Internet Use: Race, Gender and Digital Divides , 2009, J. Comput. Mediat. Commun..

[16]  Yasemin Koçak Usluel,et al.  Social Influence in the Adoption Process and Usage of Innovation: Gender Differences , 2009 .

[17]  Tommi Laukkanen,et al.  Mobile banking innovators and early adopters: How they differ from other online users? , 2008 .

[18]  Fred D. Davis,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1 , 1992 .

[19]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[20]  Moli P. Koshy,et al.  Journal of Internet Banking and Commerce Usage Patterns of Electronic Banking Services by Urban Educated Customers: Glimpses from India , 2022 .

[21]  C. Anthony Di Benedetto,et al.  Diffusion of Innovation , 2015 .

[22]  Ainin Sulaiman,et al.  Prospects and Challenges of E‐Banking In Malaysia , 2005, Electron. J. Inf. Syst. Dev. Ctries..

[23]  Steve Love,et al.  Effect of Demography on Mobile Commerce Frequency of Actual Use in Saudi Arabia , 2013, WorldCIST.

[24]  Jane M. Howell,et al.  Personal Computing: Toward a Conceptual Model of Utilization , 1991, MIS Q..

[25]  A. Lenhart,et al.  Teens, privacy and online social networks: How teens manage their online identities and personal information in the age of MySpace , 2007 .

[26]  M. Thelwall Social networks, gender, and friending: An analysis of MySpace member profiles , 2008 .

[27]  Gill Kirkup,et al.  Gender and cultural differences in Internet use: A study of China and the UK , 2007, Comput. Educ..

[28]  Ellen Garbarino,et al.  GENDER DIFFERENCES IN THE PERCEIVED RISK OF BUYING ONLINE AND THE EFFECTS OF RECEIVING A SITE RECOMMENDATION , 2004 .

[29]  Kelly S. Ervin,et al.  Gender and the Internet: Women Communicating and Men Searching , 2001 .

[30]  Viswanath Venkatesh,et al.  Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior , 2000, MIS Q..

[31]  Yi-Ming Tai,et al.  WILL STOCK INVESTORS USE MOBILE STOCK TRADING? A BENEFIT-RISK ASSESSMENT BASED ON A MODIFIED UTAUT MODEL , 2013 .

[32]  C. Yu Factors Affecting Individuals to Adopt Mobile Banking: Empirical Evidence from the Utaut Model , 2012 .

[33]  Allen Newell,et al.  The psychology of human-computer interaction , 1983 .

[34]  C. Okoyeuzu,et al.  Gender Perception and Attitude Towards E-Learning: A Case of Business Students, University of Nigeria , 2011 .

[35]  A. Weil,et al.  Diffusion of Innovation , 2020, The International Encyclopedia of Media Psychology.

[36]  Per E. Pedersen,et al.  Explaining intention to use mobile chat services: moderating effects of gender , 2005 .

[37]  A. Bandura Social Foundations of Thought and Action: A Social Cognitive Theory , 1985 .

[38]  Shintaro Okazaki,et al.  Understanding e-learning adoption in Brazil: Major determinants and gender effects , 2012 .

[39]  Ioanna D. Constantiou,et al.  Consumer Behaviour and Mobile TV Services: Do Men Differ From Women in Their Adoption Intentions? , 2010 .

[40]  Mohammed-Issa Riad Mousa Jaradat,et al.  Assessing Key Factor that Influence on the Acceptance of Mobile Commerce Based on Modified UTAUT , 2013 .

[41]  S. G. Mazman,et al.  Gender Differences in Using Social Networks. , 2011 .

[42]  José Afonso Mazzon,et al.  Mobile banking: proposition of an integrated adoption intention framework , 2010 .

[43]  J. Christopher Westland,et al.  Global Electronic Commerce: Theory and Case Studies , 1999 .

[44]  José Luis Roldán Salgueiro,et al.  The moderator role of Gender in the Unified Theory of Acceptance and Use of Technology (UTAUT): A study on users of Electronic Document Management Systems , 2012 .

[45]  L. Mayoux Jobs, gender and small enterprises: getting the policy environment right , 2001 .

[46]  I. Ajzen The theory of planned behavior , 1991 .

[47]  S. Liaw,et al.  A study of investigating learners attitudes toward e-learning , 2011 .

[48]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[49]  Gabrielle A. Strouse,et al.  Age, Ethnicity, and Socioeconomic Patterns in Early Computer Use , 2005 .

[50]  Md. Aminul Islam,et al.  Effect of demographic factors on e-learning effectiveness in a higher learning institution in Malaysia , 2011 .

[51]  Claude Doom,et al.  The impact of gender on the acceptance of virtual learning environments , 2008 .

[52]  E. Bigné,et al.  The Impact of Internet User Shopping Patterns and Demographics on Consumer Mobile Buying Behaviour , 2005 .

[53]  Peter A. Todd,et al.  Assessing IT usage: the role of prior experience , 1995 .