Faktor penentu niat terhadap perkongsian maklumat mangsa banjir Rantau Panjang, Kelantan dari perspektif teori kognitif social

Faktor penentu niat terhadap perkongsian maklumat mangsa banjir Rantau Panjang, Kelantan dari perspektif teori kognitif social

Information sharing is important to help reduce the uncertainty while waiting for rescue. Through information sharing it can help save lives and properties; minimize the effects of natural disaster; and help to rebuild victim’s confidence. Despite the importance of information sharing, very few stud...

Full description

Saved in:
Bibliographic Details
Main Author: Nurzawani, Mohamad Zani
Format: Thesis
Language:eng
eng
Published: 2015
Subjects:
T58.5-58.64 Information technology
Online Access:https://etd.uum.edu.my/5764/1/depositpermission_s813511.pdf
https://etd.uum.edu.my/5764/2/s813511_01.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-uum-etd.5764
record_format uketd_dc
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
advisor Hashim, Kamarul Faizal
Ahmad, Mazida
topic T58.5-58.64 Information technology
spellingShingle T58.5-58.64 Information technology
Nurzawani, Mohamad Zani
Faktor penentu niat terhadap perkongsian maklumat mangsa banjir Rantau Panjang, Kelantan dari perspektif teori kognitif social
description Information sharing is important to help reduce the uncertainty while waiting for rescue. Through information sharing it can help save lives and properties; minimize the effects of natural disaster; and help to rebuild victim’s confidence. Despite the importance of information sharing, very few studies focused their attention towards understanding the factors that determine the intention to share information especially among flood victims. This research adopts Social cognitive theory as the underlying theory that builds up the conceptual model for this study. The data was collected using a survey technique. Flood victims from Rantau Panjang, Kelantan were selected as respondents. A total of 108 respondents responded to the questionnaire. Smart PLS 3.0 software was used to analyze the data. The research findings showed that information sharing intention among flood victim is influenced by three factors: self-efficacy, social support, and social recognition. Meanwhile reciprocity has been found not significant. Theoretically, this study contributes to the understanding of the determinants factors that influence information sharing intention among flood victims. It also extends the use of Social cognitive theory within the domain of information sharing during disaster. Practically, this study has outlined a number of recommendations to help promote information sharing behavior during disaster. This study proposed awareness programs such as lectures, advertisement, and campaigns to promotes information sharing among wider public. In addition, this study also suggested for a database development to store shared information in order to better facilitate disaster management.
format Thesis
qualification_name masters
qualification_level Master's degree
author Nurzawani, Mohamad Zani
author_facet Nurzawani, Mohamad Zani
author_sort Nurzawani, Mohamad Zani
title Faktor penentu niat terhadap perkongsian maklumat mangsa banjir Rantau Panjang, Kelantan dari perspektif teori kognitif social
title_short Faktor penentu niat terhadap perkongsian maklumat mangsa banjir Rantau Panjang, Kelantan dari perspektif teori kognitif social
title_full Faktor penentu niat terhadap perkongsian maklumat mangsa banjir Rantau Panjang, Kelantan dari perspektif teori kognitif social
title_fullStr Faktor penentu niat terhadap perkongsian maklumat mangsa banjir Rantau Panjang, Kelantan dari perspektif teori kognitif social
title_full_unstemmed Faktor penentu niat terhadap perkongsian maklumat mangsa banjir Rantau Panjang, Kelantan dari perspektif teori kognitif social
title_sort faktor penentu niat terhadap perkongsian maklumat mangsa banjir rantau panjang, kelantan dari perspektif teori kognitif social
granting_institution Universiti Utara Malaysia
granting_department Awang Had Salleh Graduate School of Arts & Sciences
publishDate 2015
url https://etd.uum.edu.my/5764/1/depositpermission_s813511.pdf
https://etd.uum.edu.my/5764/2/s813511_01.pdf
_version_ 1747827977961340928
spelling my-uum-etd.57642021-04-04T08:55:08Z Faktor penentu niat terhadap perkongsian maklumat mangsa banjir Rantau Panjang, Kelantan dari perspektif teori kognitif social 2015 Nurzawani, Mohamad Zani Hashim, Kamarul Faizal Ahmad, Mazida Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduate School of Arts and Sciences T58.5-58.64 Information technology Information sharing is important to help reduce the uncertainty while waiting for rescue. Through information sharing it can help save lives and properties; minimize the effects of natural disaster; and help to rebuild victim’s confidence. Despite the importance of information sharing, very few studies focused their attention towards understanding the factors that determine the intention to share information especially among flood victims. This research adopts Social cognitive theory as the underlying theory that builds up the conceptual model for this study. The data was collected using a survey technique. Flood victims from Rantau Panjang, Kelantan were selected as respondents. A total of 108 respondents responded to the questionnaire. Smart PLS 3.0 software was used to analyze the data. The research findings showed that information sharing intention among flood victim is influenced by three factors: self-efficacy, social support, and social recognition. Meanwhile reciprocity has been found not significant. Theoretically, this study contributes to the understanding of the determinants factors that influence information sharing intention among flood victims. It also extends the use of Social cognitive theory within the domain of information sharing during disaster. Practically, this study has outlined a number of recommendations to help promote information sharing behavior during disaster. This study proposed awareness programs such as lectures, advertisement, and campaigns to promotes information sharing among wider public. In addition, this study also suggested for a database development to store shared information in order to better facilitate disaster management. 2015 Thesis https://etd.uum.edu.my/5764/ https://etd.uum.edu.my/5764/1/depositpermission_s813511.pdf text eng public https://etd.uum.edu.my/5764/2/s813511_01.pdf text eng public masters masters Universiti Utara Malaysia Abdullah, S.A. (2000). Factors effecting international students' use of the online catalog and other information sources. Dissertation Abstract International, 61, 1663. ADPC(Asian Disaster Preparedness Center) (2002). Albay Province, Philippines: coexisting with Mayon Volcano and counter-measures for disaster preparedness. Asian Disaster Management News. 8(4). Retrieved from http://www.adpc.net/irc06/Newsletter/2002/ 10-12/theme2.html. Ahmad Dahlan., Abdul Rahman., Mohd Dahan., Hayati., Mohd Saman., & Md Yazid. (2013. The success factors for Government Information Sharing (GIS) in natural disaster management and risk reduction. In: International Conference on ICT for the Muslim World (ICT4M) 2013, 25 - 27 March 2013, Rabat, Morocco. Ahmad, W. I. W., & Abdurahman, S. M. (2015). Kelantan Flood 2014: Reflections from Relief Aid Mission to Kampung Kemubu, Kelantan. Mediterranean Journal of Social Sciences, 6(3 S2), 340. Ajzen, I. (1988). Atitudes, personality and behavior. Milton Keynes: Open University Press. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior & Human Decision Processes, 50(2), 179-211. Ajzen, I. (2011). Theory of planned behavior. Handb Theor Soc Psychol Vol One, 1, 438. Ajzen, I., Albarracín, D., & Hornik, R. (Eds.). (2012). Prediction and change of health behavior: Applying the reasoned action approach. Psychology Press. Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social, behavior. Englewood Cliffs, N.J: Prentice Hall. Ali, M.F., Salleh, N., & Junaidi, J. (2010. Mengkaji hubungan di antara pembelajaran koperatif (kemahiran generik) dengan kemahiran menggunakan e-pembelajaran di kalangan pelajar yang mengambil subjek telekomunikasi dan rangkaian di fakulti pendidikan UTM, Skudai, Johor. International Malaysian Educational Technology Convention, 1008-1017. Altay, N., & Green, W.G. (2006). OR/MS research in disaster operations management. European Journal of Operational Research, 175(1), 475-493. Anderson, A. (1997). Media, culture, and the environment: Rutgers University Press, New Brunswick, N.J. Anderson, J.C., & Gerbing, D. W. (1998). Structural equation modeling in practice: a review and recommended two-step approach. Psychological Bulletin, 103(3), 41-43. Andrews, D.C. (2002). Audience-specifics online community design. Communications of the ACM, 45(4), 64-68. Annesi, J. J., Unruh, J. L., Marti, N. C., Gorjala, S., & Tennant, G. (2011. Effects of the Coach Approach intervention on adherence to exercise in obese women: assessing mediation of social cognitive theory factors. Research quarterly for exercise and sport, 82(1), 99-108. Ary, D., Jacobs, L. C., & Razavieh, A., Sorensen, C. (2006). Introduction to research in education (7th ed.). California: Thomson Wadsworth. Asalal, N., Zakaria, E., & Wahab, H. A. (2013). Intervensi Kerja Sosial Sekolah dalam Menangani Masalah Sosial Pelajar. Jurnal Pendidikan Malaysia, 38(1), 41-51. Bagozzi, R.P., & Yi, Y. (1988). On the evaluation of structural equation model. Journal of Academic of Marketing Science, 16(1), 74-94. Bagozzi, R.P., & Dholakia, U.M. (2002). Open source software user communities; a study of participation in linux user groups. Management Science, 52(7), 1099-1115. Bakillah, M., Li, R.-Y., & Liang, S.H.L. (2014). Geo-located community detection in twitter with enhanced fast-greedy optimization of modularity: the casestudy of typhoon Haiyan. International Journal of Geographical Information Science, 1-22. Bamberg, S., Ajzen, I., & Schmidt, P. (2003). Choice of travel mode in the theory of planned behavior; the roles of past behavior, habit and reasoned action. Basic and Applied Social Psychology, 25(3), 175-187. Bandura, A. (1982). Self-efficacy mechanism in human agency. American Psychologist, 37(2), 122-147. Bandura, A. (1986). Social foundations of though and action: a social cognitive theory. Englewood Cliffs, NJ: prentice-Hall. Bandura, A. (1992). Exercise of personal agency through the self-efficacy mechanis.: In Schwarzer., R. (Ed.), Self-efficacy: Thought control of action (pp. 3-38). Washington, DC: Hemisphere. Bandura, A. (1997). Self-efficacy mechanism of control: Freeman, New York, NY. Barrere, M. (1986). Distinctions between social support concepts, measures, and models. American Journal of Community Psychology, 14(413-445). Benbasat, I., Goldstein, D.K., & Mead, M. (1987). The case research strategy in studies of information systems. MIS quarterly, 369-386. BenMessaoud, C., Kharrazi, H., & MacDorman, K. F. (2011). Facilitators and barriers to adopting robotic-assisted surgery: contextualizing the unified theory of acceptance and use of technology. PloS one, 6(1), e16395. Benight, C.C., Antoni, M.H., Killbourn, K., Ironson, G., Kumar, M.A., Fletcher, M.A., Schneiderman-Redwine, L., Baum, A., & Scheiderman, N. (1997). Coping self-efficacy buffers psychological and physiological disturbances in HIV -infected men following a natural disaster. Health Psychology, 16(3), 248-255. Benight, C.C., Ironson, G., Klebe, K., Carver, C., Wynings, C., Greenwood, D., Burnett, K., Baum, A., & Scheiderman, N. (1999). Conversation of resources and coping self-efficacy predicting distress following a natural disaster: a causal model analysis where the environment meets the minds. Anxiety, Stress and Coping, 12(2), 107-126. Benight, C.C., Swift, E., Sanger, J., Smith, A., & Zeppelin, D. (1999). Coping selfefficacy as a mediator of distress following a natural disaster. Journal of Applied Social Psychology, 29(12), 2443-2464. Benight, C.C., & Bandura, A. (2004). Social cognitive theory of post traumatic recovery: the role of perceived self-efficacy. Behavior Research and Therapy, 42(10), 1129-1148. Bernard, H. R. (2011). Research methods in anthropology: Qualitative and quantitative approaches. Rowman Altamira. Bharosa, N., Lee, J., & Janssen, M. (2010). Challenges and obstacles in sharing and coordinating information during multi-agency disaster response: propositions from field exercises. Information Systems Frontier, 12(1), 49-65. Bock, G.W., & Kim, Y.G. (2002). Breaking the myths of rewards: an explatory study of attitudes about knowledge sharing. Information Resources Management, 14-21. Botkin, J. (1999), Smart Business: How Knowledge Communities Can Revolutionize your Company, The Free Press, New York, NY Bunch, J. C., Robinson, J. S., & Edwards, M. C. (2012). Measuring the Relationship between Agriculture Teachers' Self-Efficacy, Outcome Expectation, Interest, and Their Use of Interactive Whiteboards. Journal of Agricultural Education, 53(1), 67-80. Butler, B.S. (2001). Membership size, communication activity, and sustainability: a resource-based model of online social structures. Information Systems Research, 12(4), 346-362. Bryman, A., & Bell, E. (2007). Business research methods (2nd ed.): Oxford: Oxford university press. Cabrera, A., & Cabrera, E.F. (2002). Knowledge sharing dilemmas. Organization Studies, 23(5), 687-710. Cavana, R.Y., Delahaye, B.L., & Sekaran, U. (2001). Applied Business Research: Qualitative and Quantitatvie Methods. Brisbane, Australia: John Wiley & Sons. Chan, T.C., Killeen, J., Griswold, W., & Lenert, L. (2004). Information technology and emergency medical care during disasters. Academic emergency medicine, 11(11), 1229-1236. Chatfield, A.T., Akbari, R., Mirzayi, N., & Scholl, H.J. (2012). Interactive effects of networked publics and social media on transforming the public sphere: A survey of Iran's leaderless ‘social media revolution’. Paper presented at the 45th Hawaii International Conference on System Sciences (HICSS), Hawaii, USA. Chen, C.-W., Chang, M.-L., & Tseng, C.-P. (2012). Human factors of knowledgesharing intention among Taiwanese enterprise: A model of hypotheses. Human Factors and Ergonomics and Services Industries, 22(4), 362-371. Chen, C. J., & Hung, S. W. (2010). To give or to receive? Factors influencing members’ knowledge sharing and community promotion in professional virtual communities. Information & Management, 47(4), 226-236. Chen, R., & Sakamoto, Y. (2014). Feeling and perspective matter: sharing of crisis information in social media. Chennamaneni, A., Teng, J. T., & Raja, M. K. (2012). A unified model of knowledge sharing behaviours: theoretical development and empirical test.Behaviour & Information Technology, 31(11), 1097-1115. Chin, W.W. (1998b). The partial least squares approach for structural equation modelling: In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295–336). Mahwah, New Jersey: Lawrence Erlbaum Associates. Chin, W.W. (2003). PLS Graph 3.0: Houston:Soft Modeling Inc. Chiu, C.-M., Hsu, M.-H., & Wang, E.T.G. (2006). Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories. Decision Support System, 42(3), 1872-1888. Choi, S. Y., Lee, H., & Yoo, Y. (2010). The Impact of Information Technology and Transactive Memory Systems on Knowledge Sharing, Application, and Team Performance: A Field Study. MIS quarterly, 34(4), 855-870. Cole-Lewis, H., & Kershaw, T. (2010). Text messaging as a tool for behavior change in disease prevention and management. Epidemiologic Review, 32(1), 56-69. Compeau, D.R., & Higgins, C.A. (1995). Computer self-efficacy development of a measure and initial test. MIS Quarterly, 19(2), 189-211. Compeau, D.R., & Higgins, C.A. (1999). Social cognitive theory and individual reactions to computing technology, a longitudinal study. MIS Quarterly, 23(2), 14-158. Compeau, D.R., Higgins, C.A., & Huff, S. (1999). Social cognitive theory and individual reactions to computing technology: a longitudinal study. MIS Quarterly, 23(2), 145-158. Conner, M., & Sparks, P. (1996). The theory of planned behavior and health behaviors: In: Conner, M., and Norman, P. (Eds.) Predicting health behaviour (pp. 121-162). Buckingham, UK: Open University Press. Connolly, T., & Thorn, B. K. (1990). Discretionary databases: Theory, data, and implications. In J. Fulk & C. W. Steinfi eld (Eds.), Organizations and communication technology (pp. 219–233). Newbury Park, CA: Sage. Constant, D., Kiesler, S., & Sproull, L. (1994). What's mine is ours, or is it? A study of attitudes about information sharing. Information systems research,5(4), 400-421. Creswell, J. (2009). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Thousands Oak, California: Sage Publications Inc. Dantas, A., & Seville, E. (2006). Organizational issues in implementing an information sharing framework: lessons from Matata flooding events in New Zealand. Journal of Contingencies and Crisis Management, 14(1), 38-52. Davenport, T.H., & Prusak, L. (1998). Working knowledge: how organizations manage what they know: Boston, Mass: Harvard Business School Press, Boston, MA. de la Torre, L.E., Dolinskaya, I.S., & Smilowitz, K.R. (2012). Disaster relief routing: Integrating research and practice. Socio-economic Planning Sciences, 46(1), 88-97. Dennis, A. R. (1996). Information exchange and use in small group decision making. Small Group Research, 27(4), 532-550 Denler, H., Wolters, C., & Benzon, M. (2014). Social cognitive theory. Retrieved, 2(12). Dyegrov, A. (1989). Caring for helpers in disaster situations: psychological debriefing. Disaster Management, 2(1), 25-30. Dzewaltowski, D.A., Noble, J.M., & Shaw, J.M. (1990). Physical activity participation: social cognitive theory versus theories of reasoned action and planned behavior. Journal of Sport & Exercise Psychology, 12(4), 388-405. Easterby-Smith, M., Thorpe, R., & Jackson, P. R. (2012). Management research. Sage. Eastin, M.S., & LaRose, R. (2005). Alt, support: modeling social support online. Computers in Human Behavior, 21(6), 977-992. Ekeh, P.P. (1974). Social exchange theory: the two traditions. Cambridge, MA: Harvard University Press. EMDAT (2012) The international disaster database. Centre for Research on the Epidemiology of Disasters (CRED). http://www.emdat.be/natural-disasterstrends. Accessed 1 Dec 2012 Erikson, K.T. (1994). A species of trouble: explorations of disaster, trauma, and community. New York: W.W. Norton and Company. Faizal, W. M., & Ishak, W. (2013). Sikap pengguna buang sisa pepejal punca banjir kilat. Berita Harian, 30, 29. Fajardo, J. T. B., & Oppus, C. M. (2010). A mobile disaster management system using the android technology. WSEAS Transactions on Communications, 9(6), 343-353. Field, A.P. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage Publications Ltd. Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: an introduction to theory and research: Reading, MA: Addison-Wesley. Fishbein, M., & Ajzen, I. (2011). Predicting and changing behavior: The reasoned action approach. Taylor & Francis. Fisher, R.J., Maltz, E., & Jaworski, B.J. (1997). Enhancing Communication Between Marketing and Engineering: The Moderating Role of Relative Functional Identification. Journal of Marketing, 61, 54-70. Fornell, C., & Bookstein, F.L. (1982). Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research, 19(4), 440-452. Fornell, C., & Larcker, D.F. (1981). Evaluating structural equation models with unobservable and measurement error. Journal of Marketing Research, 34(2), 161-188. Foss, N. J., Husted, K., & Michailova, S. (2010). Governing knowledge sharing in organizations: Levels of analysis, governance mechanisms, and research directions. Journal of Management Studies, 47(3), 455-482. Fowler, F.J., Jr. (1993). Survey research methods (2nd ed.). Newbury Park: USA: Sage Publications, Inc. Fritz, C.E., & Wiliams, H.B (1957). The human being in disasters: a research perspective. The Annals of the American Academy of Political and Social Sciences, 309(1), 42-51. Fuller, J., Jawecki, G., & Muhlbacher, H. (2007). Innovation creation by online basketball communities. Journal of Business Research, 60(1), 60-71. Gao, H., & Barbier, G. (2011). Harnessing the crowdsourcing power of social media for disaster relief. IEEE Intelligent Systems, 10-14. Ginis, K. A. M., Latimer, A. E., Arbour-Nicitopoulos, K. P., Bassett, R. L., Wolfe, D. L., & Hanna, S. E. (2011). Determinants of physical activity among people with spinal cord injury: a test of social cognitive theory. Annals of behavioral medicine, 42(1), 127-133. Godin, G. (1993). The theories of reasoned action and planned behavior: overview of findings, emerging research problems and usefulness for exercise promotion. Journal of Applied Sport Psychology, 5(2), 141-157. Godin, G., & Kok, G. (1996). The theory of planned behavior: a review of its applications to health-related behaviors. American Journal of Health Promotion 11(2), 87-98. 102 Gortner, E.M., & Pennebaker, J.W. (2003). The archival anatomy of a disaster: media coverage and community-wide health effects of the Texas A&M bonfire tragedy. Journal Social Clinical Psychology, 22(5), 580-603. Hair, Jr. J.F., Anderson, R.E., Tatham, R.L., & Black, W.C. (1998). Multivariate data analysis with reading: New Jersey: Prentice-Hall; 1998. Han, H., Hsu, L. T. J., & Sheu, C. (2010). Application of the theory of planned behavior to green hotel choice: Testing the effect of environmental friendly activities. Tourism Management, 31(3), 325-334. Hashim, N. M., Muhamad, S., Aiyub, K., & Yahya, N. (2011). Pembangunan Tanah Hutan Dan Fenomena Banjir Kilat: Kes Sungai Lembing, Pahang. e-BANGI, 6(2), 14. Hashim, K. F., & Tan, F. B. (2015). The mediating role of trust and commitment on members’ continuous knowledge sharing intention: A commitment-trust theory perspective. International Journal of Information Management, 35(2), 145- 151. He-feng, X. (2009). The determinations of employee's knowledge haring behavior: an empirical study based on the Theory of Planned Behavior. presented at the meeting of the 2009 International Conference on Management Science & Engineering, Moscow, Russia. Hechter, R. P. (2011). Changes in preservice elementary teachers’ personal science teaching efficacy and science teaching outcome expectancies: The influence of context. Journal of Science Teacher Education, 22(2), 187-202. Heide, J. B., & Miner, A. S. (1992). The shadow of the future: Effects of anticipated interaction and frequency of contact on buyer-seller cooperation.Academy of management journal, 35(2), 265-291. Hendriks, P. (1999). Why share knowledge? the influence of ICT on the motivation for knowledge sharing. Knowledge and Process Management, 6(2), 91-100. Hennessy, J. L., & Patterson, D. A. (2012). Computer architecture: a quantitative approach. Elsevier. Henseler, J., Ringleand, C.M., & Sinkovics, R. (2009). New challenges to international marketing, advances in international marketing. Emerald Group Publishing Limited, 20, 277–319. Hinkin, T.R. (1998). A brief tutorial on the development of measures for use in survey questionnaires. Organizational Research Methods, 1(11), 104-121. 103 Ho, R. (2006). Handbook of univariate and multivariate data analysis and interpretation with SPSS. CRC Press. Ho, K. H., Ghazali, A. H., & Chong, S. F. (2002, July). Calibration and evaluation of modified tank model (flood forecasting model) for Kelantan river basin, Malaysia. In Proceeding of World Engineering Congress Malaysia July (pp. 23-24). Hoof, B.V.D., & Ridder, J.A.D. (2004). Knowledge sharing in context: the influence of organizational commitment, communication climate and CMC use in knowledge sharing. Emerald Group Publishing Limited, 8(6), 117-130. Holste, J. S., & Fields, D. (2010). Trust and tacit knowledge sharing and use.Journal of knowledge management, 14(1), 128-140. Hsu, C.-L., & Lin, J.C.-C. (2008). Acceptance of blog usage: the roles of technology acceptance, social influence and knowledge sharing motivation. Information & Management, 45(1), 65-74. Hsu, M.-H., Ju, T.L., Yen, C.-H., & Chang, C.-M. (2007). Knowledge sharing behavior in virtual communities: the relationship between trust, self-efficacy, and outcome expectations. International Journal of Human-Computer Studies, 65(2), 153-169. Huang, C. M., Chan, E., & Hyder, A. A. (2010). Web 2.0 and internet social networking: a new tool for disaster management?-lessons from Taiwan. BMC medical informatics and decision making, 10(1), 57. Huber, F., Hermann, A., Mayer, F., Vogel, J., & Vollhardt, K. (2007). kausalmodellierung mit partial least square: Eine anwendungsorientierte Einfu¨hrung, Gabler, Wiesbaden. Hung, S. Y., Durcikova, A., Lai, H. M., & Lin, W. M. (2011). The influence of intrinsic and extrinsic motivation on individuals' knowledge sharing behavior.International Journal of Human-Computer Studies, 69(6), 415-427. Hussain, T. P. R. S., Nor, A. R. M., & Ismail, H. (2014). SOCIAL SCIENCES & HUMANITIES. Hyvönen, K. (2011). Personal work goals put into context: Associations with work environment and occupational well-being. Igbaria, M., & Livari, J. (1995). The effects of self-efficacy on computer usage. Omega, 23(6), 587-605. Jaeger, P.T., Shneiderman, B., Fleischmann, K.R., Preece, J., Qu, Y., & Wu, P.F. (2007). Community response grids: e-government, social networks, and 104 effective emergency management. Telecommunication Policy, 31(10), 592- 604. Janssen, M., Lee, J., Bharosa, N., & Cresswell, A. (2010). Advances in multi-agency disaster management: Key elements in disaster research. Information Systems Frontiers, 12(1), 1-7. Johnson, R. R. B., & Christensen, L. B. (2010). Educational research: Quantitative, qualitative, and mixed approaches. Sage Publications. Jones, H. G. (2013). Plants and microclimate: a quantitative approach to environmental plant physiology. Cambridge University Press. Jones, N.B., & Rice, M. (2000). Can web based knowledge sharing tools improve the learning process in an MBA consulting class. T.H.E Journal, 27(9), 100-105. Joreskog, K., & Sorbom, D. (1996). Lisrel 8 User reference guide: Chicago, USA: Scientific Software International. Kaklauskas, A., Amarantunga, D., & Haigh, R. (2009). Knowledge model for postdisaster management. International Journal of Strategic Property Management, 13(2), 117-128. Kankanhalli, A., Tan, C.Y.B., & Wei, K.K. (2005). Contribution knowledge to electronic knowledge repositories: an empirical investigation. MIS Quarterly, 29(1), 113-143. Katuk, N., Ruhana Ku-Mahamud, K., Norwawi, N., & Deris, S. (2009). Web-based support system for flood response operation in Malaysia. Disaster Prevention and Management: An International Journal, 18(3), 327-337. Khalid, M. S., Anuar, A. R., Jalil, M., & Razani, M. (2010). Sistem pengurusan bencana di Malaysia: kajian kes banjir. Killian, L.M. (2002). An introduction to methodological problems of field studies in disasters: in Stallings, R.A. (ed.), Methods of Disaster Research, International Research Committee on Disasters, USA, pp. 49–93. Kline, R. B. (2005). Principles and Practice of Structural Equation Modeling. 2005. New York, NY: Guilford. Kolekofski Jr, K.E., & Heminger, A.R. (2003). Belief and attitudes affecting intentions to share information in an organizational setting. Information & Management, 40(6), 521-532. 105 Kollock, P. (1999). The economies of on-line cooperation: gifts, and public goods in cyberspace. In: Smith, M.A., Kollock, P. (Eds.), Communities in Cyberspace. Routledge, London, 220-239. LaCaille, L. (2013). Theory of Reasoned Action. In Encyclopedia of Behavioral Medicine (pp. 1964-1967). Springer New York. Lawson, B., Peterson, K.J., Cousins, P.D., & Handfield, R.B. (2009). Knowledge sharing in inter organizational product development teams: the effect of formal socialization mechanisms. Journal of Product Innovation Management, 26(2), 156-172. Lee, J., Bharosa, N., Yang, J., Janssen, M., & Rao, H. R. (2011). Group value and intention to use—A study of multi-agency disaster management information systems for public safety. Decision Support Systems, 50(2), 404-414. Lewis, B.R., Templeton, G.F., & Byrd, T.A. (2005). Methodology for construct development in MIS research. European Journal of Information Systems, 14(4), 388-400. Lewis, J. L., & Sheppard, S. R. (2006). Culture and communication: can landscape visualization improve forest management consultation with indigenous communities?. Landscape and Urban Planning, 77(3), 291-313. Lever-Landis, C.-E., Burrant, C., Droatar, D., Morgan, L., Trapl, E., & Kwoh, K. (2003). Social support, knowledge, and self-efficacy as correlates of osteoporosis preventive behaviors among preadolescent females. Journal of Pediatric Psychology, 28(5), 335-345. Liebowitz, J. (2001). Knowledge management and its link to artificial intelligence. Expert Systems with Applications, 20(1), 1-6. Liker, J. K., & Sindi, A.A. (1997). User acceptance of expert systems: a test of the theory of reasoned action. Journal of Engineering and Technology Management, 14(2), 147-173. Lin, C.-P. (2010). Learning virtual community loyalty behavior from a perspective of social cognitive theory. International Journal of Human-Computer Interaction, 26(4), 345-360. Lin, H.F. (2007). Effects of extrinsic and intrinsic motivation on employee knowledge sharing intentions. Journal of Information Sciences, 33(2), 135- 149. Lin, M. J.-J., Hung, S.-W., & Chen, C.-J. (2009). Fostering the determinants of knowledge sharing in professional virtual communities. Computers in Human Behavior, 25(4), 929-939. 106 Lin, T.-C., & Huang, C.-C. (2008). Understanding knowledge management system usage antecedents: an integration of social cognitive theory and task technology fit. Information and Management Journal, 45(6), 410-417. Lin, T. C., & Huang, C. C. (2010). Withholding effort in knowledge contribution: the role of social exchange and social cognitive on project teams. Information & Management, 47(3), 188-196. Low Kwai Sim. (1983). Flood hazard in Peninsular Malaysia. Seminar Paper of Institute for Higher Studies, 3-4 Oktober 1983, Kuala Lumpur: University Malaya. Lu, H.P., & Hsiao, K.-L. (2007). Understanding intention to continuously share information on weblogs. Emerald Group Publishing Limited, 17(4), 345-361. Lu, Y., & Yang, D. (2001). Information exchange in virtual communities under extreme disaster conditions. Decision Support Systems, 50(2), 529-538. Madden, T. J., Ellen, P.S., & Ajzen, I. (1992). A comparison af the theory of planned behavior and the theory of reasoned action. Personality and Social Psychology Bulletin, 18(1), 3-9. Majchrzak, A., Javernpa, S., & Hollongshead, A. (2007). Coordinating expertise among emergent groups responding to disasters. Organization Sciences, 18(1), 147-161. Malaysian National Security Council, MNSC-Directive 20 (2003), “Policy and mechanism of national disaster management and relief”, January, available at: www.adrc.or.jp/nations/nationinformation.asp?nationcode ¼ 458&lang = Malhotra, Y., & Galletta, D.F. (1998). An assessment of survey research in POM: from constructs to theory. Journal of Operations Management, 16(4), 403- 423. Manoj, B.S., & Baker, A.H. (2007). Communication challenges in emergency response. Communication of the ACM 50(3), 51-53. Mansor., Rahman., & Shwaluddin. (1998). Penghantar komunikasi. Pulau Pinang: Universiti Sains Malaysia. Marcoulides, G.A., & Schumacker, R.E. (2001). New developments and techniques in structual equation modeling. Mahwah, NJ: Lawrence Erlbaum Associates, Inc. 107 Markus, M.L. (1987). Toward a “critical mass” theory of interactive media universal access, interdependence and diffusion. Communication research, 14(5), 491- 511. Marincioni, F. (2007). Information technologies and the sharing of disaster knowledge: the critical role of professional culture. Disaster, 31(4), 459-476. Maruyama, G. (1998). Basic of structural equation modeling: Thousand Oaks, CA: Sage. Marshall, R. S., Akoorie, M. E., Hamann, R., & Sinha, P. (2010). Environmental practices in the wine industry: An empirical application of the theory of reasoned action and stakeholder theory in the United States and New Zealand. Journal of World Business, 45(4), 405-414. Mathbor, G.M. (2007). Enhancement of community preparedness for natural disaster. International Social Works, 50(3), 357-369. Mazziotta, A., Mummendey, A., & Wright, S. C. (2011). Vicarious intergroup contact effects Applying social-cognitive theory to intergroup contact research.Group Processes & Intergroup Relations, 14(2), 255-274. McDonald, R.P., & Ho, M.H.R. (2002). Principles and practise in reporting structural equation analyses Psychological methods, 7(1), 64-82. McNeil, A. J., Frey, R., & Embrechts, P. (2010). Quantitative risk management: concepts, techniques, and tools. Princeton university press. Mete, H. O., & Zabinsky, Z. B. (2010). Stochastic optimization of medical supply location and distribution in disaster management. International Journal of Production Economics, 126(1), 76-84. Miles, B., & Morse, S. (2007). The role of news media in natural disaster risk and recovery. Ecological Economics, 63(2), 365-373. Mileti, D.S., & Darlington, J.D. (1997). The role of searching in shaping reactions to earthquake risk information. Social Problems, 44(1), 89-103. Mistilis, N., & Sheldon, P. (2006). Knowledge management for tourism crises and disasters. Tourist, Review International, 10(1), 39-46. Muniz, JA.M., & Schau, H.J. (2005). Religiosity in the Abandoned Apple Newton Brand Community. Journal of Consumer Research, 31(4), 14-37. Mohamed Shaluf, I., & Ahmadun, F. L. R. (2006). Disaster types in Malaysia: an overview. Disaster Prevention and Management: An International Journal, 15(2), 286-298. 108 Moore, G., & Benbasat, I. (1991). Development of an instrument to measure the perceptions od adopting and information technology innovation. Information Systems Research, 2(3), 192-222. Murphy, S.A. (1987). Self-efficacy and social support mediators of stress on mental health following a natural disaster. Western Journal of Nursing Research, 9(1), 58-86. Niederhauser, D. S., & Perkmen, S. (2010). Beyond self-efficacy: Measuring preservice teachers’ instructional technology outcome expectations.Computers in Human Behavior, 26(3), 436-442. Nunnally, J.C., & Bernstein, I.H. (1994). Psychometric theory. New York: McGraw Hill. O'Donovan, G. (2002). Environmental disclosure in annual report: extending the applicability and predictive power of legitimate theory. Accounting, Auditing, & Accountability Journal, 15(3), 344-371. Organ, D.W. (1988). Organizational citizenship behavior: the good soldier syndrome: Lexington, MA: Lexington. Papadopoulus, T., Stamati, T., & Nopparuch, P. (2013). Exploring the determinants of knowledge sharing via employee weblogs. International Journal of Information Management, 33(1), 133-146. Paton, D., & Jackson, D. (2002). Developing disaster management capability: an assessment centre approach. Disaster Prevention and Management, 11(2), 115-122. Paton, D. (2003). Disaster preparedness: a social-cognitive theory. Disaster Prevention and Management, 12(3), 210-216. Pfefferbaum, B. J., Reissman D.B., Pfefferbaum R.L., Klomp, R.W., & Gurwitch, R.H (2005). Building resilience to mass trauma events: Springer. Pinsonneault, A., & Kraemer, K.L. (1993). Survey research methodology in management information system: an assessment. Journal of Management Information System, 10, 75-105. Punch, K. F. (2013). Introduction to social research: Quantitative and qualitative approaches. Sage. Quaritsch, M., Kruggl, K., Wischounig-Strucl, D., Bhattacharya, S., Shah, M., & Rinner, B. (2010). Networked UAVs as aerial sensor network for disaster 109 management applications. e & i Elektrotechnik und Informationstechnik, 127(3), 56-63. Quintal, V. A., Lee, J. A., & Soutar, G. N. (2010). Risk, uncertainty and the theory of planned behavior: A tourism example. Tourism Management, 31(6), 797- 805. Reddick, C. (2011). Information technology and emergency management: preparedness and planning in US states. Disasters, 35(1), 45-61. Riege, A. (2005). Three-dozen knowledge-sharing barriers managers must consider. Journal of Knowledge Management, 9(3), 18-35. Ringle, C.M., Wende, S., & Will, A. (2005). SmartPLS 2.0 M3. Hamburg: University of Hamburg, Germany. Retrieved from http://www.smartpls.de. Rise, J., Sheeran, P., & Hukkelberg, S. (2010). The Role of Self‐identity in the Theory of Planned Behavior: A Meta‐Analysis. Journal of Applied Social Psychology, 40(5), 1085-1105. Roy, N., Shah, H., Patel, V., & Bagalkote, H. (2005). Surgical and psychosocial outcomes in the rural injured - a follow -up study of the 2001 earthquake victims. Injury International Journal of the Care of the Injured, 36(8), 927- 934. Ryu, S., Ho, S.H., & Han, I. (2003). Knowledge sharing behavior of physicians in hospitals. Expert System with Applications, 25(1), 113-122. Said, M. Z., Gapor, S.A., Samian, M.N., & Abd Aziz, A.M. (2013). Konflik di pusat pemindahan banjir: kajian kes di daeras Padang Terap, Kedah. Malaysia Journal of Society and Space, 9(1), 69-78. Sarji, A., Mahamood, F. Jasbir, H., Norrafidah, & Abdul Rahim, E.A. (2014. Musibah banjir menghadapinya gaya perlis. Prosiding Seminar Institusi Raja (SIRaj II) Seminar Raja dan Kerajaan Perlis. Scaffidi, C., Shaw, M., & Myers, B. (2008). Trial by water: Creating Hurricane Katrina ‘‘person locator’’ websites. In S. P.Weisband (Ed.), Leadership at a distance: Research in technologically-supported work (pp. 209–221). New York: Lawrence Erlbaum Associates. Schunk, D.H. (1990). Goal setting and self-efficacy during self-regulated learning. Educational Psychologist, 25(1), 71-86. Sekaran, U. (2003). Research methods for business: A skill building approach (Fourth ed.). New York: John Wiley & Sons, Inc. 110 Sexton, T.L., & Tuckman, B.W. (1991). Self-beliefs and behavior: the role of selfefficacy and outcome expectation over time. Personality and Individual Differences, 12(7), 725-736. Sheppard, B.H., Hartwick, J., & Warshaw, P.R. (1988). The theory of reasoned action: a meta-analysis of past research with recommendations for modifications and future research. Journal of Consumer Research 15, 325- 343. Sheu, H. B., Lent, R. W., Brown, S. D., Miller, M. J., Hennessy, K. D., & Duffy, R. D. (2010). Testing the choice model of social cognitive career theory across Holland themes: A meta-analytic path analysis. Journal of Vocational Behavior,76(2), 252-264. Sham Sani. (1973). The 1967 flood in Kelantan, West Malaysia. Akademika, 3, 1- 14. Shklovski, I., Buerke, M., Kiesler, S., & Kraut, R. (2008a). Use of communication technologies in hurricane Katrina position paper for the HCI for emergencies workshop conference on human factors in computing. Florence, Italy. Shklovski, I., Palen, L., & Sutton, J. (2008b, 8-12 November 2012). Finding community through information and communication technology during disaster events. presented at the meeting of the CSCW'08, San Diego, California, USA. Simon, S. J. (2000). The relationship of learning style and training method to enduser computer satisfaction and computer use: A structrual equation model.Information Technology, Learning, and Performance Journal, 18(1), 41. Simsek, Z., & Veiga, J.F. (2000). The electronic survey technique: an integration and assessment. Organizational Research Methods, 3(1), 93-115. Slocombe, T.E. (1999). Applying the theory of reasoned action to the analysis of an individuals polychronicity. Journal of Managerial Psychology, 14(3), 313- 324. Sobel, S.R., & Lesson, P.T. (2007). The use of knowledge in natural-disaster relief management. The Independent Review, 11(4), 519-532. Staples, D.S., & Webster, J. (2007). Exploring traditional and virtual members "best practices", a social cognitive theory perspective. Small Group Research, 38(1), 60-97. 111 Starbird, C., Palen, L., Hughes, A., & Vieweg, S. (2010. Chatter on the red: what hazards threat reveals about the social life of micro blogged information Symposium conducted at the meeting of the CSCW 2010 Proceedings of the 2010 ACM conference on Computer supported cooperative work (CSCW 2010), 241-250. Straub, D.W. (1989). Validating instrument in MIS research. MIS Quartely, 13(2), 147-169. Suh, A., & Shin, K.S. (2010). Exploring the effects of online social ties on knowledge sharing: a comparative analysis of collocated vs dispersed teams. Journal of Information Science, 36(4), 443-463. Takeishi, A. (2001). Bridging inter- and intra-firm boundaries: management of supplier involvement in automobile product development. Strategic Management Journal, 22(5), 403-433. Terry, D.J. (1993). Self-efficacy expectancies and the theory of reasoned action. In D.J. Terry, C. Gallois & M. McCamish (Eds), The Theory of Reasoned Action: Its Application to AIDS-preventive Behaviour. Oxford: Pergamon. Tohidina, Z., & Mosakhani, M. (2010). Knowledge sharing behavior and its predictors. Industrial Management & Data Systems, 110(4), 611-631. Townsend, A., & Moss, M. (2005). Telecommunication infrastructure in disasters: preparing cities for crisis communication. Retrieved from http://www.nyu.edu/ccpr/pubs/NYU-DisasterCommunications1-Final.pdf. Tsai, C. H., & Chen, C. W. (2010). An earthquake disaster management mechanism based on risk assessment information for the tourism industry-a case study from the island of Taiwan. Tourism Management, 31(4), 470-481. Tse, S., & Liew, T. (2004). New Zealand experiences: how is community resilience manifested in Asian communities. International Journal of Mental Health & Addiction, 2(1), 1-8. Tseng, C. P., & Chen, C. W. (2012). Natural disaster management mechanisms for probabilistic earthquake loss. Natural Hazards, 60(3), 1055-1063. UNDAC - United Nations Disaster Assessment and Coordination. How are disaster relief efforts organised? - Cluster approach and key actors. Retrieved from http://business.un.org/en/documents/6852. UNISDR (2006) NGOs & disaster risk reduction: a preliminary review of initiatives and progress made, background paper for a consultative meeting on a ‘‘global network of NGOs for community resilience to disasters’’. United Nations International Strategies for Disaster Reduction. 112 http://www.unisdr.org/2008/partner-netw/ngos/meeting1-October 2006/NGOs_and_DRR_Background_Paper.pdf Urbach, N., & Ahlemann, F. (2010). Structural equation modeling in information system research using partial least square. Journal of information Technology Theory and Application, 11(2), 5-40. Vasterman, P., Yzermans, C.J., & Dirzwager, A.J.E. (2004). The role of the media and media hypes in the aftermath of disasters. Epidemiol Reviews, 27(1), 107-114. Wagner, C. (2004). Wiki: A technology for conversational knowledge management and group collaboration. Communications of the Association for Information Systems, 13(1), 265-289. Walther, J.B., & Boyd, S. (2002). Attraction to computer-mediated social support. In C. A. Lin & D. Atkin (Eds.), Communication technology and society: Audience adoption and uses (pp 153-188). Cresskill, NJ: Hampton Press. Wang, S., & Noe, R. A. (2010). Knowledge sharing: A review and directions for future research. Human Resource Management Review, 20(2), 115-131. Wasko, M.M., & Faraj, S. (2005). Why should I share? examining social capital and knowledge contribution in electronic networks of practice. MIS Quarterly, 29(1), 35-58. Waugh, W.L. (2006). The political costs of failure in the Katrina and Rita Disasters. The Annals of the American Academy of Political and Social Science, 604(1), 10-25. Wixom, B.H., & Todd, P.A. (2005). A theoritical integration of user satisfaction and technology acceptence. Information Systems Research, 16(1), 85-102. Wood, R., & Bandura, A. (1989). Social cognitive theory of organizational management. Academy of management Review, 14(3), 361-384. Yahaya, A., & Kiaw Geok, Y. (2003). Keberkesanan program pemulihan akhlak di sekolah Henry Gurney Tunas Bakti. Yahaya, A., Rahman, A., Anuar, M., Hamdan, A. R., & Boon, Y. (2010). Program Pemulihan Akhlak Wanita: Sejauh manakah Keberkesanan Pusat Perlindungan Wanita Membantu Proses Pemulihan?. Program Pemulihan Akhlak Wanita: Sejauhmanakah Keberkesanan Pusat Perlindungan Wanita Membantu Proses Pemulihan?, 1-9. Yates, D., & Paquette, S. (2011). Emergency knowledge management and social media technologies: A case study of the 2010 Haitian earthquake. International Journal of Information Management, 31(1), 6-13. Yi, W., & Ozdamar, L. (2007). A dynamic logistic coordination model for evacuation and support in disaster response activities. European Journal of Operational Research, 179(3), 1177-1193. Yin, R.K. (1994). Case study research: Design and Methods. (2nd. ed). Thousand Oaks: CA, Sage. Yousafzai, S. Y., Foxall, G. R., & Pallister, J. G. (2010). Explaining internet banking behavior: theory of reasoned action, theory of planned behavior, or technology acceptance model?. Journal of Applied Social Psychology, 40(5), 1172-1202. Zhang, D., Zhou, L., & Nunamaker Jr, J. F. (2002). A knowledge management framework for the support of decision making in humanitarian assistance/disaster relief. Knowledge of Information System, 4(3), 370-385. Zhou, T. (2011). Understanding online community user participation: a social influence perspective. Internet Research, 21(1), 67-81. Zhou, X. (2008). Wenchuan earthquakes as reflected in the Chinese Internet. Retrieved from http://china.org.cn. Zook, M., Graham, M., Shelton, T., & Gorman, S. (2010). Volunteered geographic information and crowdsourcing disaster relief: a case study of the Haitian earthquake. World Medical & Health Policy, 2(2), 7-33.

Similar Items