The Relationship between Motivation, the Use of Mobile Devices and Satisfaction with Life for Older Farmers
You-Te Lu 1  
More details
Hide details
Southern Taiwan University of Science and Technology
Fujian University of Technology, China
You-Te Lu   

Southern Taiwan University of Science and Technology, No. 1, Nan-Tai Street, Yungkang Dist.,, 710 Tainan City, Taiwan
Publish date: 2017-06-16
EURASIA J. Math., Sci Tech. Ed 2017;13(7):4009–4020
In terms of functionality, today’s mobile devices allow users to surf the Internet, monitor e-mail, watch and share videos and pictures, interact on social-networks and utilize a large array of software-driven applications. Much research concerns motivation and satisfaction in the school system, but there is little empirical evidence of how these factors affect older farmers. While mobile technologies and social media have changed the value and importance of human connections, it is necessary to understand the interaction between motivation and satisfaction with life for older famers. This study determines the relationships between motivation, the use of mobile devices and satisfaction with life for older farmers. Key factors are operationalized using scales that are widely used and tested. A survey is distributed to participators and a multiple regression is used to determine whether positive motivation for the use of the Internet and mobile devices predicts the scale for the satisfaction with life. This study contributes to related subjects by determining factors that could be optimized with a view to enhancing learning and satisfaction with life for old farmers.
Ali, W. U., Raheem, R. A., Nawaz, A., & Imamuddin, K. (2014). Impact of Stress on Job Performance: An Empirical study of the Employees of Private Sector Universities of Karachi, Pakistan. Research Journal of Management, 3(7), 14-17.
Bayraktar, E., Tatoglu, E., Turkyilmaz, A., Delen, D., & Zaim, S. (2012). Measuring the Efficiency of Customer Satisfaction and Loyalty for Mobile Phone Brands with DEA. Expert Systme with Applications, 39, 99-106.
Chang, H. J., & Villegas, J. (2008). Mobile Phone Users’ Behaviors: The Motivation Factors of the Mobile Phone User. International Journal of Mobile Marketing, 3(2), 4-14.
Clark, T. (2005). Lifelong, Life-wide or Life Sentence. Australian Journal of Adult Learning, 45(1), 46-62.
Conti-Ramsden, G., Durkin, K., & Simkin, Z. (2010). Language and Social Factors in the Use of Cell Phone Technology by Adolescents with and Without Specific Language Impairment (SLI). Journal of Speech, Language, and Hearing Research, 53, 196-208.
Delors, J. (1996). Learning: The treasure within Report to UNESCO of the International Commission on Education for the Twenty-first Century, UNESCO.
Deng, Z., Lu, Y., Wei, K., & Zhang, J. (2010). Understanding customer Satisfaction and Loyalty: An Empirical Study of Mobile Instant Messages in China. International Journal of Information Management, 30, 289-300.
Diener, E., Emmons, R. A., Larsen, R. J., & Griffin, S. (1985). The Satisfaction with Life Scale. Journal of Personality Assessment, 49, 71-75. Retrieved January 25, 2016, from
Devlin, K., & Rosenberg, D. (2006). Information in the study of Human Interaction. Retrieved January 15, 2016, from
European Commission (2001). Making a European area of lifelong learning a reality, Brussels, COM (2001) 428final.
Gijon, C., Garin-Munoz, T., Perez-Amaral, T., & Zorzano, R. L. (2013). Satisfaction of Individual Mobile Phone Users in Spain. Telecommunications Policy, 37(10), 940-954.
Hoffmann, M. (2015). An exploratory study: Mobile device use for academics. Ed. D. Pepperdine University. Retrieved from EBSCO.
Horrigan, B. J. (2016). Lifelong Learning and Technology. Retrieved March 23, 2016, from
Joe, J., & Demiris, G. (2013). Older Adults and Mobile phones for Health: A Review. Journal of Biomedical Informatics, 46, 947-954.
Jones, A., & Issroff, K. (2007). Motivation and Mobile Devices: Exploring the Role of Appropriation and Coping Strategies. Research in Learning Technology, 15(3), 247-258. Retrieved January 15, 2016, from
Jonson, M. (2011). Adult Learners and Technology: How to Deliver Effective Instruction and Overcome Barriers to Learning. Retrieved January 15, 2016, from
Laruillard (2002). Rethinking University Teaching: A Framework for the Effective Use of Learning Technologies, (2nd ed). Abingdon: RoutledgeFalmer.
Lepp, A., Barkley, J. E., Sanders, G. J., Rebold, M., & Gates, P. (2013). The relationship Between Cell phone Use, Physical and Sedentary Activity, and Cardiorespiratory Fitness in a Sample of US college students. International Journal of Behavioral Nutrition and Physical Activity, 10, 79. Retrieved January 5, 2016, from https://ijbnpa.biomedcentral.c....
Lepp, A., Barkley, J. E., & Karpinski, A. C. (2014). The Relationship between Cell Phone Use, Academic Performance, Anxiety, and Satisfaction with Life in College Students. Computer in Human Behavior, 31, 343-350.
Leung, L. S. K., & Matanda, M. J. (2013). The impact of basic human needs on the use of retailing self-service technologies: A study of self-determination theory. Journal of Retailing and Consumer Services, 20(6), 549-559. doi:10.1016/j.jretconser.2013.06.003.
Liu, H., Salomaa, J., Huang, R., & Ma, D. (2008). An Activity-Oriented Design Framework for Mobile Learning. Experience in Fifth IEEE International Conference on Wireless, Mobile and Ubiquitous Technology in Education (pp.185–7).
Li, S.-C. S. (2014). Adoption of three new types of computers in Taiwan: Tablet PCs, netbooks, and smart phones. Computers in Human Behavior, 35, 243-251. doi:10.1016/j.chb.2014.03.001.
Mafini, C., & Dlodlo, N. (2014). The Relationship between Extrinsic Motivation, Job Satisfaction and Life Satisfaction amongst Employees in a Public Organization. SA Journal of Industrial Psychology/SA Tydskrif vir Bedryfsielkunde, 40(1), 1166-1179. Retrieved January 25, 2016, from
Negahban, A., & Chung, C.-H. (2014). Discovering determinants of users perception of mobile device functionality fit. Computers in Human Behavior, 35, 75-84. doi:10.1016/j.chb.2014.02.020.
Nordin, N., Embi, M. A., & Yuns, M. M. (2010). Mobile Learning Framework for Lifelong Learning. Procedia Social and Behavioral Sciences, 7, 130-138. Retrieved January 15, 2016, from
Nucciarelli, A., Castaldo, A., Conte, E., & Sadowski, B. (2013). Unlocking the Potential of Italian Broadband: Case Studies and policy Lessons. Telecommunications Policy, 37(10), 955-969.
Redman, D. (2016). Motivation of Adult, Auditioned Community Choirs: Implications toward Lifelong Learning. Ph.D., University of South Florida.
Paulins, N., Balina, S., & Arhipova, I. (2015). Learning Content Development Methodology for Mobile Devices. Procedia Computer Science, 43, 147-153. doi:10.1016/j.procs.2014.12.020.
Pezzulo, G., van der Meer, M. A., Lansink, C. S., & Pennartz, C. M. (2014). Internally generated sequences in learning and executing goal-directed behavior. Trends in cognitive sciences, 18(12), 647-657.
Saeednia, Y., & Nor, M. M. D. (2013). Measuring Hierarchy of Basic Needs among Adults. Procedia - Social and Behavioral Sciences, 82, 417-420. doi:10.1016/j.sbspro.2013.06.285.
Sharples, M., Taylor, J., & Vovoula, G. (2007). A Theory of Learning for the Mobile Age, in: R. Andrews, & C. Haythornthwaite (Eds) The Sage Handbook of E-learning Research (London, Sage), 221–247.
Shillair, R. J., Rikard, R.V., Cotten, S. R., & Tsai, H. Y. (2015). Not So Lonely Surfers: Loneliness, Social Support, Internet Use and Life Satisfaction in Older Adults. In iConference 2015 Proceedings.
Skolverket (2000). Lifelong Learning and Lifewide Learning, Stockholm, the National Agency for Education.
Smith, A. (2014). Older Adults and Technology Use. Retrieved January 23, 2016, from
Stafford, F. T., Stafford, M. R., & Schade, L. L. (2004). Determining Uses and Gratifications for the Internet, Decision Sciences, 35(2), 259-287.
Tang, C., Leung, R., Haddad, S., & McGrenere, J. (2012). What Motivates Older Adults to Learn to Use Mobile Phones. Retrieved January 15, 2016, from
Tan, G. W.-H., Ooi, K.-B., Leong, L.-Y., & Lin, B. (2014). Predicting the drivers of behavioral intention to use mobile learning: A hybrid SEM-Neural Networks approach. Computers in Human Behavior, 36, 198-213. doi:10.1016/j.chb.2014.03.052.
Watson, L. (2003). Lifelong Learning in Australia, Canberra, Department of Education, Science and Training.
Wu, W. H., Jim Wu, Y. C., Chen, C. Y., Kao, H. Y., Lin, C. H., & Huang, S. H. (2012). Review of trends from mobile learning studies: A meta-analysis. Computers & Education, 59(2), 817-827. doi:10.1016/j.compedu.2012.03.016.