Self-efficacy and its impacts on academic researchers' absorptive capacity in smart phones acceptance: Conceptual paper

Information and Communications technologies (ICT) play a critical role in expanding the boundaries of the academic research activities. Where the academic researchers utilize the ICT mostly to enhance their research. Due to the increasingly powerful capabilities of smart phones technology, smart phones become one of the wide spread technologies worldwide. Thus, many studies focused on studying the acceptance of smart phones. However a lack exists in studying the acceptance of smart phones for academic researchers, although of the importance and capabilities of such technologies for the researchers. On account of the role of individual's IT knowledge plays in the technology acceptance and the impacts of willingness to learn on it, the paper integrates the knowledge with the capability of using that knowledge and the learning willingness constructs to the proposed model. Hence, this conceptual paper investigates the acceptance of smart phones by the academic researchers using technology acceptance model. And integrates the absorptive capacity construct (represent IT knowledge with the capability of using that knowledge) with self-efficacy construct (represent willingness to learn) to the model.

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

[2]  Yi-Hsiang Chen,et al.  Study on Factors of Affecting the Acceptance and Adoption of Smartphone , 2013 .

[3]  Zahir Irani,et al.  Determinants of social and institutional beliefs about internet acceptance within developing country’s context: A structural evaluation of higher education systems in Pakistan , 2010 .

[4]  Namho Chung,et al.  A unified perspective on the factors influencing usage intention toward mobile financial services , 2012 .

[5]  Hyunseung Choo,et al.  Smartphones as smart pedagogical tools: Implications for smartphones as u-learning devices , 2011, Comput. Hum. Behav..

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

[7]  Alain Yee-Loong Chong,et al.  An empirical analysis of the determinants of 3G adoption in China , 2012, Comput. Hum. Behav..

[8]  Cathal Gurrin,et al.  The smartphone as a platform for wearable cameras in health research. , 2013, American journal of preventive medicine.

[9]  Xinhua Bi,et al.  Absorptive Capacity: Enhancing the Absorption of Information Technology , 2009, 2009 International Conference on Management and Service Science.

[10]  Kee-Young Kwahk,et al.  Investigating the Coping Mechanism Towards Technochanges: A Perspective of Social Network Theory , 2011, 2011 44th Hawaii International Conference on System Sciences.

[11]  A. Bandura.  Self-Efficacy: The Exercise of Control , 1997, Journal of Cognitive Psychotherapy.

[12]  Dongho Won,et al.  A Practical Analysis of Smartphone Security , 2011, HCI.

[13]  Sang Hyun Kim,et al.  Moderating effects of Job Relevance and Experience on mobile wireless technology acceptance: Adoption of a smartphone by individuals , 2008, Inf. Manag..

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

[15]  Mei Cao,et al.  Exploring the absorptive capacity to innovation/productivity link for individual engineers engaged in IT enabled work , 2008, Inf. Manag..

[16]  Sang Yup Lee,et al.  Examining the factors that influence early adopters' smartphone adoption: The case of college students , 2014, Telematics Informatics.

[17]  Mun Y. Yi,et al.  Understanding information technology acceptance by individual professionals: Toward an integrative view , 2006, Inf. Manag..

[18]  Daniel A. Levinthal,et al.  ABSORPTIVE CAPACITY: A NEW PERSPECTIVE ON LEARNING AND INNOVATION , 1990 .

[19]  Izak Benbasat,et al.  The Influence of Business Managers' IT Competence on Championing IT , 2003, Inf. Syst. Res..

[20]  Joshua M. Pearce,et al.  The application of smartphone technology to economic and environmental analysis of building energy conservation strategies , 2012 .

[21]  Steve Borrelli,et al.  The use of handheld mobile devices: their impact and implications for library services , 2010, Libr. Hi Tech.

[22]  Annette Mills,et al.  School leaders, ICT competence and championing innovations , 2009, Comput. Educ..

[23]  Jin Ki Kim,et al.  Determinants of the adoption for travel information on smartphone. , 2014 .

[24]  David C. Yen,et al.  The acceptance and diffusion of the innovative smart phone use: A case study of a delivery service company in logistics , 2009, Inf. Manag..

[25]  Christopher P. Furner,et al.  The Role of Mobile Self-Efficacy in the Adoption of Location-Based Applications: An iPhone Experiment , 2011, 2011 44th Hawaii International Conference on System Sciences.

[26]  Heather K. Holden,et al.  Understanding the Influence of Perceived Usability and Technology Self-Efficacy on Teachers’ Technology Acceptance , 2011 .

[27]  Deborah Compeau,et al.  Computer Self-Efficacy: Development of a Measure and Initial Test , 1995, MIS Q..

[28]  Namkee Park,et al.  Factors influencing smartphone use and dependency in South Korea , 2013, Comput. Hum. Behav..

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

[30]  Tor Guimaraes,et al.  Corporate culture, absorptive capacity and IT success , 2005, Inf. Organ..

[31]  Gordon B. Davis,et al.  Anytime/anyplace computing and the future of knowledge work , 2002, CACM.

[32]  David C. Yen,et al.  Dimensions of self-efficacy in the study of smart phone acceptance , 2011, Comput. Stand. Interfaces.

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

[34]  Hyojoo Son,et al.  Toward an understanding of construction professionals' acceptance of mobile computing devices in South Korea: An extension of the technology acceptance model , 2012 .

[35]  Nick Pearce,et al.  A STUDY OF TECHNOLOGY ADOPTION BY RESEARCHERS , 2010 .

[36]  Michael Dinger,et al.  Absorptive Capacity and Information Systems Research: Review, Synthesis, and Directions for Future Research , 2012, MIS Q..

[37]  T. Lam,et al.  A study of hotel employee behavioral intentions towards adoption of information technology , 2007 .

[38]  Maxwell K. Hsu,et al.  Computer attitude, statistics anxiety and self-efficacy on statistical software adoption behavior: An empirical study of online MBA learners , 2009, Comput. Hum. Behav..

[39]  Dong-ling Ning,et al.  An empirical study of IT potential absorptive capacity , 2011, 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC).