International Journal of Academic Research in Business and Social Sciences

search-icon

Examining the Impacts of Behavioral factors on Wireless Village Services among Rural Community in Malaysia

Open access

Jusang Bolong, Hayrol Azril Mohamed Shaffril, Siti Zobidah Omar, Jeffrey Lawrence D’Silva, Hamisah Sahharon

Pages 329-343 Received: 18 May, 2016 Revised: 09 Jun, 2016 Published Online: 27 Jun, 2016

http://dx.doi.org/10.46886/IJARBSS/v6-i6/2201
The main attempt of this study is to examine the impacts of behavioural factors on wireless village services among rural community in Malaysia. The study was quantitative in nature where a developed questionnaire was used as the main instrument in collecting the data. Via a multi stage cluster sampling, a total of 400 villagers from four districts in Malaysia have been selected as the respondents for the study. It can be confirmed that all of the behavioural factors studied have a positive and significant relationship with usage of wireless village services. A number of discussion have been highlighted and it is a hope that such discussion can act as a basis for interested parties in constructing concrete strategies to further narrowing the digital gap between the rural and urban communities in Malaysia.
Aboh, C.L. (2008). Assessment of the frequency of ICT tools usage by agricultural extension agents in Imo state Nigeria. Agriculture and Social Research, 8 (2), 1-6.

Al-Ghaith, W., Sanzogni, L., & Sandhu, K. (2010). Factors influencing the adoption and usage of online services in Saudi Arabia. The Electronic Information System in Developing Countries, 40 (1), 1-32.

Bolt, M.A., Killough, L.N., & Koh, H.C. (2001). Testing the interaction effects of task complexity in computer training using the social cognitive model. Decision Science, 32 (1), 1-20.

Breckler, S.J., & Wiggins, E.C. (1992). On defining attitude and attitude theory: once more with feeling. In Pratkanis, A.R, Breckler, S.J, Greenwald, A.C (eds). Attitude Structure and Function, Hillsdale, Erlbaum, New Jersey.

Chismar, W.G., & Wiley-Paton, S. (2003). Does the extended technology model applied to physicians. Paper presented at 36th Hawaii International Conference on System Sciences, Hawaii, 2003.

Comfort, K., Goje, L., & Funmilola, K. (2005). Relevance and priorities of ICT for women in rural communities: a case study from Nigeria. Buletin for the American Society for Information Science and Technology, 29 (6), 24-25.

D’Silva, J.L., Abu Samah, B., Shaffril, H.A.M., & Abu Hassan, H. (2010). Factors that influence attitude towards ICT usage among rural community leaders in Malaysia. Australian Journal of Basic and Applied Scientific Research, 4 (10), 5214-5220.

Dasgupta, A., Sansgiry, S.S., Sherer, J.T., Wallace, D., & Sikri, S. (2003). Application of extended technology acceptance model in predicting pharmacist’ intention to use personal digital assistants. American Pharmacist Association, 49 (6), 792-796.

Dishaw, M., T., & Strong, D., M. (1999). Extending the technology acceptance model with task-technology fit constructs. Information & Management, 36, 9-21.

Dixon, K.C. (2009). Attitudes towards ICT based interaction: a bachelor of education studies. Retrieved 27 November 2014 from: http://www.aare.edu.au/09pap/dix091331.pdf

Gallivan, M.J., Spitler, V.K., & Koufaris, M. (2005). Does information technology training really matter? A social information processing analysis of coworkers’ influence on IT usage in the workplace. Management Information Systems, 22 (1), 153-192.

Gulbahar, Y., & Guven, I. (2008). A survey on ICT usage and the perception of social studies Teachers in Turkey. Educational Technology and Society, 11 (3), 37-51.

Hassan, M.S., Yassin, S.M., Shaffril, H.A.M., Othman, M.S., Abu Samah, B., Abu Samah, A., & Ramli, S.A. (2011). Receiving agriculture information through mass media and interpersonal sources among the rural community. American Journal of Agricultural and Biological Science, 6, 3, 451-461.

Hernandez, B., Jimenez, J., & Martin, M.J. (2008). Extending the technology acceptance model to include the IT decision-maker: a study of business management software. Technovation, 28: 112-121.

Hu, P.J., Clark, T.H.K., & Ma, W.W. (2003). Examining technology acceptance by school teachers: a longitudinal study. Information and Management, 41 (2), 227-241.

Joseph, M.K., & Andrew, T.N. (2007). Convergence opportunities and factors influencing the use of internet and telephony by the rural women in South Africa and India towards empowerment. Computer Science, 241, 1-20.

Kim, Y.J., Chun, J.U., & Song, J. (2009). Investigating the role of attitude in technology acceptance from an attitude strength perspective. Journal of Information Management, 29 (1), 67-77.

Krejcie, R.V., & Morgan, D.W., (1970). Determining Sample Size for Research Activities. Educational and Psychological Measurement. Retrieved on 3 December 2014, from: http://www.kenpro.org/sample-size-determination-using-krejcie-and-morgan-table/

Lee, S., & Brown, J.S. (2007). Examining broadband adoption factors: an empirical analysis between countries. Information, 1 (10), 25-39.

Lewis, W., Argawal, R., & Sambamurthy, V. (2003). Sources of influence on belief about information technology use: an empirical study of knowledge workers. MIS Quarterly, 27 (4), 657-678.

Luarn, P., & Lin, H. (2004). Towards an understanding of the behavioral intention to use mobile banking. Computer in Human Behavior, 30, 1-9.

Malaysian Communications and Multimedia Commission. (2014). Communications & Multimedia: Pocket Book of Statistics Q1 2014.Cyberjaya: Digital Perspective Sdn. Bhd.

Malaysian Communications and Multimedia Commission. (2014). Universal Service Provision: Projects. Retrieved from http://usp.skmm.gov.my/Projects/Telephony.aspx


Meso, P., Musa, P., & Mbarika, V. (2005). Towards a model of consumer use of mobile information and communication technology in LDCs: The case of Sub-Saharan. African Information Systems, 15 (2005), 119-146.

Muhammad Najib, A.G. (1999). Penyelidikan pendidikan Skudai:Penerbit Universiti Teknologi Malaysia.

Nunnally, J.C (1978). Psychometric theory. 2nd Edition. Mc-Graw Hill, New York.

Oyo, C.K., Adewoye, J.O., & Oni, A.A. (2010). The state of e-banking implementation in Nigeria: A post-consolidation review. Emerging Trends in Economics and Management Sciences, 1 (1): 37-45.

Pee, L.G. & Kankanhalli, A. (2010).Bridging the digital divide: use of public internet kiosk in Mauritius. Global Information Management, 18 (1), 15-38.

Ramli, S.A., Omar, S.Z., Bolong, J., D’Silva, J.L., Shaffril, H.A.M. (2013). Influence of behavioral factors on mobile phone usage among fishermen: The case of Pangkor Island fishermen. Asian Social Science, 9, 162-170.

Sahharon, H., Omar, S.Z., Bolong, J., Shaffril, H.A.M., & D’Silva, J.L. (2014). Potential benefits of wireless village programme in Malaysia for rural communities

Shaffril, H.A.M.., Abu Samah, B., Hassan, M.A., & D’Silva, J.L. (2010). Socio- economic factors that impinge computer usage in administration works among village leaders in Malaysia. Scientific Research and Essays, 5(23), 3623-3633.

Shih, H.P. (2004). Extended technology acceptance model of internet utilization behavior. Information and Management, 41, 719-729.

Shiro, U. (2008). A case study of DIY ICT. Information, 10 (4), 46-60.

Trombley, K.B., & Lee, D. (2006). Web based learning: who is using it and why, who is not and why not? Education Media, 27, 137-146.

Venkatesh, V., & Davis, F.D. (1996). A theoretical extension of technology acceptance model: four longitudinal filed studies. Management Science, 46 (2), 186-204.

Venkatesh, V., & Morris, M.G. (2000). Why not men ever stop to ask for directions? Gender, social influence and their role in technology acceptance and usage behavior. MIS Quarterly, 24 (1), 115-139.

Venkatesh, V., Morris, M.G., Davis, G.B., & Davis, F.D. (2003). User acceptance of information technology: toward a unified view. MIS Quarterly, 27 (3), 425-478.

World Youth Report (2003). Youth and information and communication technologies. Retrieved from: http://www.un.org/esa/socdev/unyin/documents/ch12.pdf

Wu, X., & Guo, Y. (2010). Applying the extended technology acceptance model to the use of clickers in student learning: Some evidence of macroeconomic classes. American Business Education, 4 (7), 43-50.

Zhang, P., & Aikman, S. (2007). Attitudes in ICT acceptance and use. Human-Computer Interaction, (2007), 1021-1030.

Zulkifli, I., Sulaiman, A., & Faziharudean, T.M. (2008). The roles of community based telecenters in bridging the digital divide in rural Malaysia. World Academic of Science, Engineering and Technology, 46, 352-364.
Bolong, J., Shaffril, H. A. M., Omar, S. Z., D’Silva, J. L., & Sahharon, H. (2016). Examining the Impacts of Behavioral factors on Wireless Village Services among Rural Community in Malaysia. International Journal of Academic Research in Business and Social Sciences, 6(6), 329-343.