Understanding citizens' adoption of e-filing in developing countries: An empirical investigation

Abstract This study develops a research framework by integrating the unified theory of acceptance and use of technology's model with multi-dimensional trust in order to investigate the antecedents of behavioral expectation toward the adoption of electronic tax filing. Furthermore, it decomposes the structure of social influence and facilitating conditions into different aspects. The proposed model was estimated by enrolling 245 participants and using the SmartPLS 2.0 M3. The results reveal that performance expectancy, effort expectancy, aspects of social influences (except for descriptive norms), and multi-dimensional trust explain 84.9% of the variance in intention. The latter with the facets of facilitating conditions explain 47.7% of the variance in behavioral expectation. The present research adds to the body of knowledge by integrating key factors underlying the context of e-filing. In addition, it provides valuable practical implications for academia and policy makers in order to foster the adoption of e-filing.

[1]  Viswanath Venkatesh,et al.  Role of time in self-prediction of behavior , 2006 .

[2]  Il Im,et al.  An international comparison of technology adoption: Testing the UTAUT model , 2011, Inf. Manag..

[3]  David Trafimow,et al.  Predicting behaviour from perceived behavioural control: tests of the accuracy assumption of the theory of planned behaviour. , 2003, The British journal of social psychology.

[4]  Chao-Min Chiu,et al.  Predicting electronic service continuance with a decomposed theory of planned behaviour , 2004, Behav. Inf. Technol..

[5]  P. Sheeran,et al.  Descriptive norms as an additional predictor in the theory of planned behaviour: A meta-analysis , 2003 .

[6]  P. Sheeran Intention—Behavior Relations: A Conceptual and Empirical Review , 2002 .

[7]  Dan J. Kim,et al.  Self-Perception-Based Versus Transference-Based Trust Determinants in Computer-Mediated Transactions: A Cross-Cultural Comparison Study , 2008, J. Manag. Inf. Syst..

[8]  Margaret Tan,et al.  Factors Influencing the Adoption of Internet Banking , 2000, J. Assoc. Inf. Syst..

[9]  Qingfei Min,et al.  Mobile commerce user acceptance study in China: A revised UTAUT model , 2008 .

[10]  J. Pearson,et al.  An Exploratory Study Into The Adoption of Internet Banking in a Developing Country: Malaysia , 2008 .

[11]  Paul A. Pavlou,et al.  Building Effective Online Marketplaces with Institution-Based Trust , 2004, Inf. Syst. Res..

[12]  Xin Luo,et al.  Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: An empirical study of mobile banking services , 2010, Decis. Support Syst..

[13]  C. Bianchi,et al.  Consumer internet purchasing behavior in Chile , 2013 .

[14]  Enrique Bonsón,et al.  Local e-government 2.0: Social media and corporate transparency in municipalities , 2012, Gov. Inf. Q..

[15]  J. H. Davis,et al.  An Integrative Model Of Organizational Trust , 1995 .

[16]  Shelley E. Taylor,et al.  From Thought to Action: Effects of Process-Versus Outcome-Based Mental Simulations on Performance , 1999 .

[17]  Rudolf R. Sinkovics,et al.  The Use of Partial Least Squares Path Modeling in International Marketing , 2009 .

[18]  R. Bagozzi,et al.  On the evaluation of structural equation models , 1988 .

[19]  Kevin Grant,et al.  Big TAM in Oman: Exploring the promise of on-line banking, its adoption by customers and the challenges of banking in Oman , 2012, Int. J. Inf. Manag..

[20]  N. L. Chervany,et al.  Initial Trust Formation in New Organizational Relationships , 1998 .

[21]  Izak Benbasat,et al.  A Research Agenda for Trust in Online Environments , 2008, J. Manag. Inf. Syst..

[22]  Alain Yee-Loong Chong,et al.  What drives Malaysian m-commerce adoption? An empirical analysis , 2009, Ind. Manag. Data Syst..

[23]  Lanouar Charfeddine,et al.  The Behavior Intention of Tunisian Banks' Customers on using Internet Banking , 2013, Int. J. Innov. Digit. Econ..

[24]  Jorgen P. Bansler,et al.  Corporate Intranet Implementation: Managing Emergent Technologies and Organizational Practices , 2000, J. Assoc. Inf. Syst..

[25]  Chunling Yu,et al.  Social Media Peer Communication and Impacts on Purchase Intentions: A Consumer Socialization Framework , 2012 .

[26]  Lanouar Charfeddine,et al.  An Exploration of Facebook.Com Adoption in Tunisia Using Technology Acceptance Model (TAM) and Theory of Reasoned Action (TRA) , 2012 .

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

[28]  Sevgi Özkan,et al.  e-Government adoption model based on theory of planned behavior: Empirical validation , 2011, Gov. Inf. Q..

[29]  Shin-Yuan Hung,et al.  Determinants of user acceptance of the e-Government services: The case of online tax filing and payment system , 2006, Gov. Inf. Q..

[30]  Li Jiang,et al.  Trust and Electronic Government Success: An Empirical Study , 2008, J. Manag. Inf. Syst..

[31]  Hichang Cho Theoretical Intersections Among Social Influences, Beliefs, and Intentions in the Context of 3G Mobile Services in Singapore: Decomposing Perceived Critical Mass and Subjective Norms , 2011 .

[32]  Ludwig Christian Schaupp,et al.  The impact of trust, risk and optimism bias on E-file adoption , 2010, Inf. Syst. Frontiers.

[33]  Edward G. Carmines,et al.  Reliability and Validity Assessment , 1979 .

[34]  R. Frank Falk,et al.  A Primer for Soft Modeling , 1992 .

[35]  S. Roy,et al.  Modelling trust in service relationships: a transnational perspective , 2013 .

[36]  Michael Sheetz,et al.  Magnetic tweezers in cell biology. , 2007, Methods in cell biology.

[37]  Andrew B. Whinston,et al.  Research Issues in Social computing , 2007, J. Assoc. Inf. Syst..

[38]  Cheng-Kiang Farn,et al.  Acceptance of electronic tax filing: A study of taxpayer intentions , 2006, Inf. Manag..

[39]  Wadie Nasri,et al.  Factors affecting the adoption of Internet banking in Tunisia: An integration theory of acceptance model and theory of planned behavior , 2012 .

[40]  Fred D. Davis,et al.  Self-Understanding and the Accuracy of Behavioral Expectations , 1984 .

[41]  Lemuria Ludwig Christian Megan E. Carter,et al.  The U.S. e-File Initiative: An Investigation of the Antecedents to Adoption from the Individual Taxpayers’ Perspective , 2012 .

[42]  Susan Wiedenbeck,et al.  On-line trust: concepts, evolving themes, a model , 2003, Int. J. Hum. Comput. Stud..

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

[44]  Koert van Ittersum,et al.  Cumulative Timed Intent: A New Predictive Tool for Technology Adoption , 2010 .

[45]  Rui Zhang,et al.  Mobile payment services adoption across time: An empirical study of the effects of behavioral beliefs, social influences, and personal traits , 2012, Comput. Hum. Behav..

[46]  J. H. Davis,et al.  An Integrative Model of Organizational Trust: Past, Present, and Future , 2007 .

[47]  France Bélanger,et al.  The utilization of e‐government services: citizen trust, innovation and acceptance factors * , 2005, Inf. Syst. J..

[48]  Hyun Joon Kim,et al.  The willingness of e-Government service adoption by business users: The role of offline service quality and trust in technology , 2011, Gov. Inf. Q..

[49]  J. Ramon Gil-Garcia,et al.  Towards a multidimensional model for evaluating electronic government: Proposing a more comprehensive and integrative perspective , 2012, Gov. Inf. Q..

[50]  J. Lin,et al.  The role of expected future use in relationship‐based service retention , 2011 .

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

[52]  Kar Yan Tam,et al.  Understanding the behavior of mobile data services consumers , 2008, Inf. Syst. Frontiers.

[53]  Prodromos D. Chatzoglou,et al.  Using a modified technology acceptance model in hospitals , 2009, Int. J. Medical Informatics.

[54]  Byung Gon Kim,et al.  A structural equation modeling of the Internet acceptance in Korea , 2007, Electron. Commer. Res. Appl..

[55]  Pin Luarn,et al.  AIS Electronic Library (AISeL) , 2017 .

[56]  Katherine N. Lemon,et al.  Dynamic Customer Relationship Management: Incorporating Future Considerations into the Service Retention Decision , 2002 .

[57]  France Bélanger,et al.  Trust and Risk in eGovernment Adoption , 2008, AMCIS.

[58]  Tiago Oliveira,et al.  Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application , 2014, Int. J. Inf. Manag..

[59]  Yudi Fernando,et al.  Factors influencing intention to use e-government services among citizens in Malaysia , 2009, Int. J. Inf. Manag..

[60]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[61]  Tao Zhou,et al.  Understanding users' initial trust in mobile banking: An elaboration likelihood perspective , 2012, Comput. Hum. Behav..

[62]  Chang Liu,et al.  Determinants of accepting wireless mobile data services in China , 2008, Inf. Manag..

[63]  Yogesh Kumar Dwivedi,et al.  Understanding consumer adoption of broadband: an extension of the technology acceptance model , 2009, J. Oper. Res. Soc..

[64]  Thompson S. H. Teo,et al.  Citizen Trust Development for E-Government Adoption and Usage: Insights from Young Adults in Singapore , 2009, Commun. Assoc. Inf. Syst..

[65]  Fred D. Davis,et al.  Disentangling behavioral intention and behavioral expectation , 1985 .

[66]  Vincent Dutot,et al.  Factors influencing Near Field Communication (NFC) adoption: An extended TAM approach , 2015 .

[67]  Brad J. Sagarin,et al.  Managing social norms for persuasive impact , 2006 .

[68]  D. Ketchen A Primer on Partial Least Squares Structural Equation Modeling , 2013 .

[69]  Anol Bhattacherjee,et al.  Acceptance of e-commerce services: the case of electronic brokerages , 2000, IEEE Trans. Syst. Man Cybern. Part A.

[70]  Wen Gong National culture and global diffusion of business‐to‐consumer e‐commerce , 2009 .

[71]  Ming-Chi Lee,et al.  Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit , 2009, Electron. Commer. Res. Appl..

[72]  Tao Zhou,et al.  An Empirical Examination of Initial Trust in Mobile Banking , 2011, Internet Res..

[73]  S. Taipale The use of e-government services and the Internet: The role of socio-demographic, economic and geographical predictors , 2013 .

[74]  Namkee Park,et al.  Intention to upload video content on the internet: The role of social norms and ego-involvement , 2011, Comput. Hum. Behav..

[75]  Alain Yee-Loong Chong,et al.  Adoption of interorganizational system standards in supply chains: An empirical analysis of RosettaNet standards , 2008, Ind. Manag. Data Syst..

[76]  Shumaila Y. Yousafzai,et al.  Multi-dimensional role of trust in Internet banking adoption , 2009 .

[77]  Tao Zhou,et al.  Examining mobile instant messaging user loyalty from the perspectives of network externalities and flow experience , 2011, Comput. Hum. Behav..

[78]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[79]  S. Sutton Predicting and Explaining Intentions and Behavior: How Well Are We Doing? , 1998 .

[80]  Ming-Tien Tsai,et al.  Predicting intention to purchase on group buying website in Taiwan: Virtual community, critical mass, and risk , 2012, Online Inf. Rev..

[81]  M. Manning,et al.  The effects of subjective norms on behaviour in the theory of planned behaviour: a meta-analysis. , 2009, The British journal of social psychology.

[82]  I. Ajzen Residual Effects of Past on Later Behavior: Habituation and Reasoned Action Perspectives , 2002 .

[83]  Blanca Hernández,et al.  Customer behavior in electronic commerce: The moderating effect of e-purchasing experience , 2010 .

[84]  Vicki G. Morwitz,et al.  Stated intentions and purchase behavior: A unified model ☆ , 2010 .

[85]  Vishanth Weerakkody,et al.  Examining the influence of intermediaries in facilitating e-government adoption: An empirical investigation , 2013, Int. J. Inf. Manag..

[86]  Detmar W. Straub,et al.  Inexperience and experience with online stores: the importance of TAM and trust , 2003, IEEE Trans. Engineering Management.

[87]  Scott B. MacKenzie,et al.  Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.

[88]  Kamel Rouibah,et al.  A decomposed theory of reasoned action to explain intention to use Internet stock trading among Malaysian investors , 2009, Comput. Hum. Behav..

[89]  Sonja Grabner-Kraeuter The Role of Consumers' Trust in Online-Shopping , 2002 .

[90]  Viswanath Venkatesh,et al.  Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology , 2012, MIS Q..

[91]  E. Rogers,et al.  Diffusion of Innovations , 1964 .