Modelling the underlying behavioural antecedents of the digital divide from the ability, motivation and opportunity framework

This paper proposes a model to explain the underlying behavioural antecedents of the digital divide in terms of the usage of digital technology. The increasing accessibility to digital technology has triggered major changes to users’ behaviour. Some users have leveraged the technologies in enhancing productivities, while others have recorded little or negative impact. Thus, by integrating the social cognitive theory with the ability, motivation and opportunity (AMO) framework we posit an encompassing determinant of individual’s engagement with digital technology. Specifically, we identify ability and motivation as the determinants of individual’s usage of digital technology and suggest technology accessibility in terms of opportunity, as the moderator of the relationships. The proposed theoretical model will be tested using data to be collected from the Bottom 40 segments in Malaysia.

[1]  Uwe Matzat,et al.  Does the “Do-It-Yourself Approach” Reduce Digital Inequality? Evidence of Self-Learning of Digital Skills , 2012, Inf. Soc..

[2]  Johannes A.G.M. The deepening Divide: Inequality in the information society. , 2005 .

[3]  A. Bandura,et al.  Impact of conceptions of ability on self-regulatory mechanisms and complex decision making. , 1989, Journal of personality and social psychology.

[4]  Elena Karahanna,et al.  Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage , 2000, MIS Q..

[5]  Maria Laura Sudulich,et al.  Digital Citizenship, The Internet, Society, and Participation , 2008 .

[6]  Shahla Ghobadi,et al.  How access gaps interact and shape digital divide: a cognitive investigation , 2015, Behav. Inf. Technol..

[7]  M. Reddy,et al.  Computer usage and access in low-income urban communities , 2013, Comput. Hum. Behav..

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

[9]  Lu Wei,et al.  Number Matters: The Multimodality of Internet Use as an Indicator of the Digital Inequalities , 2012, J. Comput. Mediat. Commun..

[10]  Hsiu-Fen Lin,et al.  Examination of cognitive absorption influencing the intention to use a virtual community , 2009, Behav. Inf. Technol..

[11]  E. Straub Understanding Technology Adoption: Theory and Future Directions for Informal Learning , 2009 .

[12]  E. Deci,et al.  Overview of self-determination theory: An organismic-dialectical perspective. , 2002 .

[13]  N. Selwyn Digital division or digital decision? A study of non-users and low-users of computers , 2006 .

[14]  Bernard J. Jaworski,et al.  Information Processing from Advertisements: Toward an Integrative Framework , 1989 .

[15]  Alexander van Deursen,et al.  Internet skills and the digital divide , 2011, New Media Soc..

[16]  Dirk T. Tempelaar,et al.  The role of academic motivation in Computer-Supported Collaborative Learning , 2009, Comput. Hum. Behav..

[17]  Stef Aupers,et al.  THE CONTENTIOUS GAP , 2013 .

[18]  Sonia Livingstone,et al.  Gradations in digital inclusion: children, young people and the digital divide , 2007, New Media Soc..

[19]  E. Deci,et al.  Intrinsic and Extrinsic Motivations: Classic Definitions and New Directions. , 2000, Contemporary educational psychology.

[20]  Jerald Hughes,et al.  The Ability-Motivation-Opportunity Framework for Behavior Research in IS , 2007, 2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07).

[21]  Troy J. Strader,et al.  Consumer Opportunity, Ability and Motivation as a Framework for Electronic Market Research , 1999, Electron. Mark..

[22]  Blanca Hernández,et al.  The role of social motivations, ability, and opportunity in online know-how exchanges: evidence from the airline services industry , 2015 .

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

[24]  Eszter Hargittai,et al.  Internet Access and Use in Context , 2004, New Media Soc..

[25]  E. Hargittai Digital Na(t)ives? Variation in Internet Skills and Uses among Members of the “Net Generation”* , 2010 .

[26]  Md. Salleh Hassan,et al.  Developing agriculture in Malaysia: internet utilization among Malaysian youth agro-businessman , 2009 .

[27]  Kar Yan Tam,et al.  Understanding Continued Information Technology Usage Behavior: A Comparison of Three Models in the Context of Mobile Internet , 2006, Decis. Support Syst..

[28]  A. Bandura Social cognitive theory: an agentic perspective. , 1999, Annual review of psychology.

[29]  Theo J. Bastiaens,et al.  The impact of intrinsic motivation on e-learning in authentic computer tasks , 2004, J. Comput. Assist. Learn..

[30]  Ritu Agarwal,et al.  Research Note - Social Interactions and the "Digital Divide": Explaining Variations in Internet Use , 2009, Inf. Syst. Res..

[31]  Susan O'Donnell Digital skills: unlocking the information society , 2016 .

[32]  K. Thomas,et al.  Cognitive Elements of Empowerment: An “Interpretive” Model of Intrinsic Task Motivation , 1990 .

[33]  Michael Gurstein Effective use: A community informatics strategy beyond the Digital Divide , 2003, First Monday.

[34]  Jan van Dijk,et al.  Toward a Multifaceted Model of Internet Access for Understanding Digital Divides: An Empirical Investigation , 2015, Inf. Soc..

[35]  R. Vallerand Toward A Hierarchical Model of Intrinsic and Extrinsic Motivation , 1997 .

[36]  Viswanath Venkatesh,et al.  Predicting Different Conceptualizations of System Use: The Competing Roles of Behavioral Intention, Facilitating Conditions, and Behavioral Expectation , 2008, MIS Q..

[37]  Siddharth Joshi,et al.  Fostering inclusive growth through e-Governance Embedded Rural Telecenters (EGERT) in India , 2012, Gov. Inf. Q..

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

[39]  Shirley Gregor,et al.  The Nature of Theory in Information Systems , 2006, MIS Q..

[40]  J. J. Po-An Hsieh,et al.  Motivational Differences Across Post-Acceptance Information System Usage Behaviors: An Investigation in the Business Intelligence Systems Context , 2013, Inf. Syst. Res..

[41]  Julian May,et al.  Progress Towards Resolving the Measurement Link Between ICT and Poverty Reduction , 2015 .

[42]  Ellen Helsper,et al.  Tangible outcomes of internet use: from digital skills to tangible outcomes project report , 2015 .

[43]  Ricardo Gomez,et al.  Relationships and Connectedness: Weak Ties that Help Social Inclusion Through Public Access Computing , 2013, Inf. Technol. Dev..

[44]  Kuan-Chung Chen,et al.  Motivation in online learning: Testing a model of self-determination theory , 2010, Comput. Hum. Behav..