Mobile Phone Use in a Developing Country: A Malaysian Empirical Study

In 2006, there were 16.2 million registered mobile phone users in Malaysia, a country with a population of approximately 27.5 million. Despite the popularity of mobile phone use in developing countries such as Malaysia, little research has been done on both the negative and positive aspects of mobile phone usage in urban areas. This study seeks to fill this research gap by providing a comprehensive investigation of the factors influencing citizen's satisfaction and dissatisfaction with daily mobile phone use. After a literature review to identify positive and negative factors associated with mobile phone use, a survey was conducted of Malaysian urban residents. The validity of the study's constructs, criterion and content was confirmed. The findings indicate that an increase in mobile phone peer chatting and family coordination will significantly increase overall mobile phone satisfaction (OMPS). An increase in mobile phone radio-frequency radiation health concern, public disturbance, social interruption and road accidents will significantly decrease OMPS. Suggestions are given on promoting each of the positive factors and reducing each of the negative ones.

[1]  B. Loo The Rise of a Digital Community in the People's Republic of China , 2003 .

[2]  Brian P. Bailey,et al.  If not now, when?: the effects of interruption at different moments within task execution , 2004, CHI.

[3]  Richard K. Ghere,et al.  Information Technology's Potential to Improve Urban Neighborhoods: Some Citizen Planning Dilemmas , 2001 .

[4]  Elisabet Viladecans-Marsal,et al.  Cities and the Internet: The end of distance? , 2006 .

[5]  Wayne D. Gray,et al.  Managing Attention by Preparing to Forget , 2000 .

[6]  George Buchanan,et al.  Improving mobile internet usability , 2001, WWW '01.

[7]  Donna Eder,et al.  THE STRUCTURE OF GOSSIP: OPPORTUNITIES AND CONSTRAINTS ON COLLECTIVE EXPRESSION AMONG ADOLESCENTS* , 1991 .

[8]  Sarah Parker,et al.  Why are mobile phones annoying? , 2004, Behav. Inf. Technol..

[9]  A. Townsend Life in the Real-Time City: Mobile Telephones and Urban Metabolism , 2000 .

[10]  Rich Ling,et al.  The social juxtaposition of mobile telephone conversations and public spaces 1 By , 2002 .

[11]  S J Westerman,et al.  Mobile (cellular) phone use and driving: a critical review of research methodology , 2001, Ergonomics.

[12]  Patricia L. Mokhtarian,et al.  Communication Chains: A Methodology for Assessing the Effects of the Internet on Communication and Travel , 2005 .

[13]  Howard B. Lee,et al.  Foundations of Behavioral Research , 1973 .

[14]  Steve Love,et al.  Does Personality Affect Peoples’ Attitude Towards Mobile Phone Use in Public Places? , 2005 .

[15]  Rodrigo José Firmino,et al.  Planning the unplannable: How local authorities integrate urban and ICT policy making , 2005 .

[16]  K. Palmer Cerebral symptoms from mobile telephones , 2000, Occupational and environmental medicine.

[17]  Lana F. Rakow,et al.  Remote mothering and the parallel shift: Women meet the cellular telephone , 1993 .

[18]  Robin I. M. Dunbar,et al.  Mobile phones as lekking devices among human males , 2000, Human nature.

[19]  Oskar Juhlin,et al.  Wireless World – Social and Interactional Aspects of the Mobile Age, Barry Brown, Nicola Green and Richard Harper (eds.) , 2001, Computer Supported Cooperative Work (CSCW).

[20]  R. Rice,et al.  Comparing internet and mobile phone usage: digital divides of usage, adoption, and dropouts , 2003 .

[21]  Ana María Fernández-Maldonado The Diffusion and Use of Information and Communications Technologies in Lima, Peru , 2001 .

[22]  R. Oliver Cognitive, affective, and attribute bases of the satisfaction response. , 1993 .

[23]  R. Oliver,et al.  Assessing the Dimensionality and Structure of the Consumption Experience: Evaluation, Feeling, and Satisfaction , 1993 .

[24]  Valdimar Briem,et al.  Behavioural effects of mobile telephone use during simulated driving. , 1995 .

[25]  Emanuel A. Schegloff Beginnings in the telephone , 2002 .

[26]  Paul H.P. Yeow,et al.  Accepting Multipurpose “Smart” Identity Cards in a Developing Country , 2007 .

[27]  Brian P. Bailey,et al.  Investigating the effectiveness of mental workload as a predictor of opportune moments for interruption , 2005, CHI Extended Abstracts.

[28]  Joseph F. Coates,et al.  Technology and the Changing City , 2001 .

[29]  W. W. Muir,et al.  Regression Diagnostics: Identifying Influential Data and Sources of Collinearity , 1980 .

[30]  Louis Leung,et al.  Blurring public and private behaviors in public space: policy challenges in the use and improper use of the cell phone , 1999, Telematics Informatics.

[31]  J.M.F. ten Berge Review. Nunnally, J.C., and Bernstein, I.H. Psychometric Theory. New York: McGraw-Hill, XXIV + 752 pgs. , 1995 .

[32]  David A. Belsley,et al.  Regression Analysis and its Application: A Data-Oriented Approach.@@@Applied Linear Regression.@@@Regression Diagnostics: Identifying Influential Data and Sources of Collinearity , 1981 .

[33]  Liz Libbrecht,et al.  The paternal cord. Telephone relationships between 'non-custodian fathers and their children , 1997 .

[34]  Matthew P. Reed,et al.  Comparison of driving performance on-road and in a low-cost simulator using a concurrent telephone dialling task , 1999 .

[35]  Hyun Kim,et al.  Information Flows on the Internet of Korea , 2003 .

[36]  Karel Brookhuis,et al.  MEASURING DRIVING PERFORMANCE BY CAR-FOLLOWING IN TRAFFIC , 1994 .

[37]  Stephen M. Hess,et al.  Training to Reduce the Disruptive Effects of Interruptions , 1994 .

[38]  Brian P. Bailey,et al.  The Effects of Interruptions on Task Performance, Annoyance, and Anxiety in the User Interface , 2001, INTERACT.

[39]  J. Cellier,et al.  Interference between switched tasks , 1992 .

[40]  A Drory,et al.  Effects of Rest and Secondary Task on Simulated Truck-Driving Task Performance , 1985, Human factors.

[41]  Jackie Guendouzi `You'll Think We're Always Bitching': , 2001 .

[42]  Mary Czerwinski,et al.  Notification, Disruption, and Memory: Effects of Messaging Interruptions on Memory and Performance , 2001, INTERACT.

[43]  James Hodge,et al.  Tariff structures and access substitution of mobile cellular for fixed line in South Africa , 2005 .

[44]  H Eyrolle,et al.  The effects of interruptions in work activity: field and laboratory results. , 2000, Applied ergonomics.

[45]  Rich Ling,et al.  The Sociolinguistics of SMS: An Analysis of SMS Use by a Random Sample of Norwegians , 2005 .

[46]  R. Oliver Satisfaction: A Behavioral Perspective On The Consumer , 1996 .

[47]  R. L. Rosnow,et al.  Gossip, gossipers, gossipees. , 1994 .

[48]  B Hocking,et al.  Preliminary report: symptoms associated with mobile phone use. , 1998, Occupational medicine.