Kajian terhadap kepadanan Facebook sebagai teknologi untuk berkongsi maklumat semasa banjir

Social media is gaining its popularity as one of the most used ICT platform for information sharing. Recently, social media has been identified as one of the important communication platforms to disseminate information during the event of disaster. Although it has been acknowledged as one of the mo...

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Main Author:	Siti Hasanah, Ishak
Format:	Thesis
Language:	eng eng eng
Published:	2015
Subjects:	T58.5-58.64 Information technology
Online Access:	https://etd.uum.edu.my/5762/1/depositpermission_s813512.pdf https://etd.uum.edu.my/5762/2/s813512_01.pdf https://etd.uum.edu.my/5762/3/s813512_02.pdf
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id	my-uum-etd.5762
record_format	uketd_dc
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng eng
advisor	Hashim, Kamarul Faizal Ahmad, Mazida
topic	T58.5-58.64 Information technology
spellingShingle	T58.5-58.64 Information technology Siti Hasanah, Ishak Kajian terhadap kepadanan Facebook sebagai teknologi untuk berkongsi maklumat semasa banjir
description	Social media is gaining its popularity as one of the most used ICT platform for information sharing. Recently, social media has been identified as one of the important communication platforms to disseminate information during the event of disaster. Although it has been acknowledged as one of the most useful platforms to disseminate information, there are situations where this platform has been found notsuitable to support this task. Thus, examining the fit between the task and technology can enhance the efficiency of information sharing. The main aim of this study is to identify the factors that influenced task technology fit using social mediaespecially Facebook when sharing information during the flood. Theory of task-technology fit (TTF) has been used as an underlying theory for this study. This study administered web based questionnaire as the data collection technique to obtain data from respondent which is the user of National Security Counsil’s Facebook. Then, the obtained data is analyzed using partial least square (PLS) technique. SmartPLS 2.0 software was used to validate the research model and test the proposed research hypotheses.The findings showed that task characteristic has a strong influenced over technology characteristic to determine the fit between information sharing task and Facebook technology. Theoretically, this study developed a better understanding of what influence task technology fit using Facebook to share information during the event of flood; examined the significant factors that contribute to higher task technology fit during the flood; and proposed a theoretical model that can be used to predict the fit between information sharing task and Facebook during the occurance of flood. Practically, this study contributes by proposing a mechanism to the government agencies on how to improve the fit between Facebook and information sharing task duringflood.
format	Thesis
qualification_name	masters
qualification_level	Master's degree
author	Siti Hasanah, Ishak
author_facet	Siti Hasanah, Ishak
author_sort	Siti Hasanah, Ishak
title	Kajian terhadap kepadanan Facebook sebagai teknologi untuk berkongsi maklumat semasa banjir
title_short	Kajian terhadap kepadanan Facebook sebagai teknologi untuk berkongsi maklumat semasa banjir
title_full	Kajian terhadap kepadanan Facebook sebagai teknologi untuk berkongsi maklumat semasa banjir
title_fullStr	Kajian terhadap kepadanan Facebook sebagai teknologi untuk berkongsi maklumat semasa banjir
title_full_unstemmed	Kajian terhadap kepadanan Facebook sebagai teknologi untuk berkongsi maklumat semasa banjir
title_sort	kajian terhadap kepadanan facebook sebagai teknologi untuk berkongsi maklumat semasa banjir
granting_institution	Universiti Utara Malaysia
granting_department	Awang Had Salleh Graduate School of Arts & Sciences
publishDate	2015
url	https://etd.uum.edu.my/5762/1/depositpermission_s813512.pdf https://etd.uum.edu.my/5762/2/s813512_01.pdf https://etd.uum.edu.my/5762/3/s813512_02.pdf
_version_	1747827977699196928
spelling	my-uum-etd.57622016-06-29T17:03:12Z Kajian terhadap kepadanan Facebook sebagai teknologi untuk berkongsi maklumat semasa banjir 2015 Siti Hasanah, Ishak 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 Social media is gaining its popularity as one of the most used ICT platform for information sharing. Recently, social media has been identified as one of the important communication platforms to disseminate information during the event of disaster. Although it has been acknowledged as one of the most useful platforms to disseminate information, there are situations where this platform has been found notsuitable to support this task. Thus, examining the fit between the task and technology can enhance the efficiency of information sharing. The main aim of this study is to identify the factors that influenced task technology fit using social mediaespecially Facebook when sharing information during the flood. Theory of task-technology fit (TTF) has been used as an underlying theory for this study. This study administered web based questionnaire as the data collection technique to obtain data from respondent which is the user of National Security Counsil’s Facebook. Then, the obtained data is analyzed using partial least square (PLS) technique. SmartPLS 2.0 software was used to validate the research model and test the proposed research hypotheses.The findings showed that task characteristic has a strong influenced over technology characteristic to determine the fit between information sharing task and Facebook technology. Theoretically, this study developed a better understanding of what influence task technology fit using Facebook to share information during the event of flood; examined the significant factors that contribute to higher task technology fit during the flood; and proposed a theoretical model that can be used to predict the fit between information sharing task and Facebook during the occurance of flood. Practically, this study contributes by proposing a mechanism to the government agencies on how to improve the fit between Facebook and information sharing task duringflood. 2015 Thesis https://etd.uum.edu.my/5762/ https://etd.uum.edu.my/5762/1/depositpermission_s813512.pdf text eng staffonly https://etd.uum.edu.my/5762/2/s813512_01.pdf text eng public https://etd.uum.edu.my/5762/3/s813512_02.pdf text eng public masters masters Universiti Utara Malaysia Abidi, S. S. R., Hussini, S., Sriraj, W., Thienthong, S., & Finley, G. A. (2009). Knowledge sharing for pediatric pain management via a Web 2.0 framework. Medical Informatics in a United and Healthy Europe, 287-291. Alavi, M., & Leidner, D. E. (1999). Knowledge management systems: issues, challenges, and benefits. Communications of the AIS, 1(7), 1-37. Bailey, J. E., & Pearson, S. W. (1983). Development of a tool for measuring and analyzing computer user satisfaction. Management Science, 29(5), 530-545. Barnes, N. G., & Mattson, E. (2009). US charities’ adoption of social media outpaces all other sectors for the third year in a row, 3. Retrieved from http://www1.umassd.edu/cmr/studiesresearch/charity study.pdf Beale, R. (2005). Supporting social interaction with smart phones. Pervasive Computing, IEEE, 4(2), 35-41. Benford, T. L., & Hunton, J. E. (2000). Incorporating information technology considerations into an expanded model of judgment and decision making in accounting. International Journal of Accounting Information Systems, 1(1), 54-65. Benslimane, Y., Plaisent, M., & Bernard, P. (2002). Applying the task-technology fit model to WWW-based conceptualization and measurement IEEE Computer Society. Symposium conducted at the meeting of the 36th Annual Hawaii International Conference on System Sciences. Bird, D., Ling, M., & Haynes, K. (2012). Flooding Facebook-the use of social media during the Queensland and Victorian floods. Australian Journal of Emergency Management,27(1), 27-33. Bollinger, A. S., & Smith, R. D. (2001). Managing organizational knowledge as a strategic asset. Journal of Knowledge Management, 5(1), 8-18. Briones, R. L., Kuch, B., Liu, B. F., & Jin, Y. (2009).Keeping up with the digital age: How the American Red Cross uses social media to build relationships.Elsevier, 37(1), 37-43. Brown, J. S., & Diguid, P. (1998). Organizing knowledge. California Management Review, 40(3), 90-111 Bryman, A., & Bell, E. (2007). Business research methods (2nd ed.). New York Oxford University Press Inc. Castillo, C., Mendoza, M., & Poblete, B. (2013). Predicting information credibility in time-sensitive social media. Internet Research, 23(5), 560-588. Cavusgil, S. T., Calantone, R. J., & Zhao, Y. (2003). Tacit knowledge transfer and firm innovation capability. Journal of Business & Industrial Marketing, 18(1), 6-21. Chin, W. W. (2010). How to write up and report PLS analyses. In Handbook of partial least squares (pp. 655-690). Springer Berlin Heidelberg. D'Ambra, J., & Wilson, C. S. (2004). Use of the World Wide Web for international travel: Integrating the construct of uncertainty in information seeking and the task‐technology fit (TTF) model. Journal of the American Society for Information Science and Technology, 55(8), 731-742. Dabner, N. (2012). ‘Breaking Ground’in the use of social media: A case study of a university earthquake response to inform educational design with Facebook. The Internet and Higher Education, 15(1), 69-78. Davis, F. D. (1993). User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International Journal of Man-machine Studies, 38(3), 475-487. Deshmukh, R., Rodrigues, L. L., & Krishnamurthy, G. (2008).Earthquake risk and knowledge management.Journal of Knowledge Management Practice, 9(3). doi: http://www.tlainc.com/articl162.htm Dishaw, M. T., & Strong, D. M. (1998).Supporting software maintenance with software engineering tools: A computed task–technology fit analysis.Journal of Systems and Software, 44(2), 107-120. Duffy, J. (2001). Knowledge management finally becomes mainstream. The Information Management Journal, 35(4), 62-65. Facebook Statistics (2014). Retrieved from http://www.statisticbrain.com/facebookstatistics/ Fatma, N. G. (2012. Sustainability and Using Information Technologies in Disaster Managament. presented at the meeting of the 3rd International Symposium on Sustainable Development, Sarajevo. Fornell, C., &Larcker, D. F. (1981).Evaluating structural equation models with unobservable variables and measurement error.Journal of Marketing Research, 34(2), 161-188. Gagnon, E., & McCarthy, R. V. (2004). User acceptance of tactical technology: an evaluation of administrative support systems within higher education. Issues in Information Systems, 5(1), 131-137. Gao, H., Barbier, G., Goolsby, R., & Zeng, D. (2011). Harnessing the crowdsourcing power of social media for disaster relief: DTIC Document. Gefen, D., Straub, D., & Boudreau, M. C. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the Association for Information Systems, 4(1), 7. Goh, S. C. (2002). Managing effective knowledge transfer: an integrative framework and some practice implications. Journal of Knowledge Management, 6(1), 23-30. Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS quarterly, 213-236. Guarte, J. M., & Barrios, E. B. (2006).Estimation under purposive sampling. Communications in Statistics-Simulation and Computation, 35(2), 277-284. Gummerus, J., Liljander, V., Pura, M., & Van Riel, A. (2004). Customer loyalty to content-based web sites: the case of an online health-care service. Journal of Services Marketing, 18(3), 175-186. Hair, J. F., Ringle, C. M., &Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. The Journal of Marketing Theory and Practice, 19(2), 139-152. Hagar, C. (2013). Crisis informatics: Perspectives of trust – Is social media a mixed blessing? SLIS Student Research Journal, 2(2), 1-5. 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. Hassandoust, F., &Kazerouni, M. F. (2011). Implications knowledge sharing through e-cllaboration and communication tools. Journal of Knowledge Management, Economics and Information Technology, 611-623. Ho, C. I., & Lee, Y. L. (2007). The development of an e-travel service quality scale.Tourism Management, 28(6), 1434-1449. Hughes, D. J., Rowe, M., Batey, M., & Lee, A. (2012). A tale of two sites: Twitter vs. Facebook and the personality predictors of social media usage. Computers in Human Behavior, 28(2), 561-569. Imafuku, T., & Yamamoto, S. (2006, Oktober).A study of the websites for disasters in consideration of the time passage after the disaster and the characteristics of the area. InSICE-ICASE,2006. International Joint Conference (pp.1304-1309). IEEE. Kaigo, M. (2012). Social media usage during disasters and social capital: Twitter and the Great East Japan earthquake. Keio Communication Review, 34, 19-35. Kankanhalli, A., Tan, B. C., & Wei, K. K. (2005). Understanding seeking from electronic knowledge repositories: an empirical study. Journal of the American Society for Information Science and Technology, 56(11), 1156-1166. Kaynama, S. A., & Black, C. I. (2000). A proposal to assess the service quality of online travel agencies: an exploratory study. Journal of Professional Services Marketing, 21(1), 63-88. Kent, M. L., & Taylor, M. (1998).Building dialogic relationships through the World Wide Web. Public relations review, 24(3), 321-334. Kim, S., & Stoel, L. (2004). Dimensional hierarchy of retail website quality. Information & Management, 41(5), 619-633. Klopping, I. M., & McKinney, E. (2004). Extending the technology acceptance model and the task-technology fit model to consumer e-commerce. Information Technology Learning and Performance Journal, 22, 35-48. Kuppuswamy, S., & Rajarathnam, S. (2013).Empirical investigation on factors influencing the coastal community’s attitude and intention to use ICT for disaster and development communication. International Journal of Innovation and Learning, 14(1), 19-29. Kwai Fun IP, R., & Wagner, C. (2008). Weblogging: A study of social computing and its impact on organizations. Decision Support Systems, 45(2), 242-250. Lai, H., & Chu, T.H. (2000, January). Knowledge Management: A review of theoretical frameworks and industrial cases. In System Sciences, 2000. Proceedings of the 33rd Hawaii International Conference on(pp. 10-pp). IEEE. Latonero, M., & Shklovski, I. (2010). “Respectfully Yours in Safety and Service”: Emergency Management & Social Media Evangelism Symposium conducted at the meeting of the Proceedings of the 7th International ISCRAM Conference, Seattle, USA. Lee, C. C., Cheng, H. K., & Cheng, H. H. (2007). An empirical study of mobile commerce in insurance industry: Task–technology fit and individual differences. Decision Support Systems, 43(1), 95-110. Lindsay, B. R. (2011). Social Media and Disasters: Current Uses, Future Options and Policy Considerations. Journal of Current Issues in Media and Telecomunications, 2(4), 287-297. Lin, T. C., & Huang, C. C. (2008). Understanding knowledge management system usage antecedents: An integration of social cognitive theory and task technology fit. Information & Management, 45(6), 410-417. Lippert, S. K., & Forman, H. (2006).A supply chain study of technology trust and antecedents to technology internalization consequences. International Journal of Physical Distribution & Logistics Management, 36(4), 271-288. Logsdon, M. C., Mittelberg, M., & Myers, J. (2014).Use of Social Media and Internet to Obtain Health Information by Rural Adolescent Mothers. Applied Nursing Research. Magogwe, J. M., Ntereke, B., &Phetlhe, K. R. (2014). Facebook and classroom group work: A trial study involving University of Botswana Advanced Oral Presentation students. British Journal of Educational Technology, 1-12. Majlis Keselamatan Negara. (2014). Portal Bencana. Retrieved from http://portalbencana.mkn.gov.my/Portal/Disaster/ StatsByDisasterType Marincioni, F. (2007). Information technologies and the sharing of disaster knowledge: the critical role of professional culture. Disasters, 31(4), 459-476. Mathew, D. (2005). Information technology and public health management of disasters-a model for South Asian countries. Prehospital and disaster medicine, 20(1), 54-60. Mazida, A. (2010). An investigation of knowledge creation processes in LMSsupported expository and PBL teaching methods. Unpublished doctoral dissertation).UniversitiSains Malaysia. Mazman, S. G., &Usluel, Y. K. (2010).Modeling educational usage of Facebook. Computers & Education, 55(2), 444-453. McClard, A., &Anderson, K. (2008). “Focus on Facebook: Who are we anyway.” Anthropology News, 49(3) 10-12. McGill, T. J., &Klobas, J. E. (2009). A task–technology fit view of learning management system impact. Computers & Education, 52(2), 496-508. Merchant, R. M., Elmer, S., & Lurie, N. (2011). Integrating social media into emergency-preparedness efforts. New England Journal of Medicine, 365(4), 289-291. Mislove, A., Marcon, M., Gummadi, K. P., Druschel, P., & Bhattacharjee, B. (2007, October). Measurement and analysis of online social networks.In Proceedings of the 7th ACM SIGCOMM conference on Internet measurement (pp. 29-42).ACM. Moe, T. L., Gehbauer, F., Senitz, S., & Mueller, M. (2007).Balanced scorecard for natural disaster management projects. Disaster Prevention and Management, 16(5), 785-806. Nonaka, I. (2007). The knowledge creating company. Harvard Business Review, July-August 2007, 162-171. Nunnally, J. C. (1978). Psychometric theory.NY: McGraw-Hill. Nunnally, J. C., & Bernstein, I. H. (1994).Psychological theory. OCHA. (2012). Asia Pacific Humanitarian Bulletin. Ong, C. S., & Lai, J. Y. (2007). Measuring user satisfaction with knowledge management systems: scale development, purification, and initial test. Computers in Human Behavior, 23(3), 1329-1346. Pai, J. C. (2012). Knowledge integration, task-technology fit and e-business implementation: An empirical study. African Journal of Business Management, 6(47), 11609-11615. Panahi, S., Watson, J., & Partridge, H. (2013).Towards tacit knowledge sharing over social web tools.Journal of Knowledge Management, 17(3), 379-397. Parker, M. B., Moleshe, V., De la Harpe, R., & Wills, G. B. (2006).An evaluation of Information quality frameworks for the World Wide Web, 1-11. Paroutis, S., & Al Saleh, A. (2009). Determinants of knowledge sharing using Web 2.0 technologies. Journal of Knowledge Management, 13(4), 52-63. Power, R., Robinson, B., & Wise, C. (2013, May). Comparing web feeds and tweets for emergency management International World Wide Web Conferences Steering Committee. Symposium conducted at the meeting of the Proceedings of the 22nd international conference on World Wide Web companion, Rio de Janeiro, Brazil. Polanyi, M. (1967).The tacit dimension. Garden City, NY: Doubleday Anchor. Pradiptarini, C. (2011). Social media marketing: Measuring its effectiveness and identifying the target market. Journal of Undergraduate Research XIV, 1-11. Ranganathan, C., &Ganapathy, S. (2002). Key dimensions of business-to-consumer web sites. Information & Management, 39(6), 457-465. Relief Web. (2012). Thousands flee Malaysia floods, dam wall broken. Retrieved from http://reliefweb.int/report/malaysia/thousands-flee-malaysia-floodsdam-wall-broken Relief Web. (2012). Two dead as Malaysian floods subside. Retrieved from http://reliefweb.int/report/malaysia/two-dead-malaysian-floods-subside Relief Web. (2011). Floods in Malaysia force thousands of people to leave their homes. Retrieved from http://reliefweb.int/report/malaysia/floods-malaysiaforce- thousands-people-leave-their-homes Roberts, J. (2000). From know-how to show-how?Questioning the role of information and communication technologies in knowledge transfer. Technology Analysis & Strategic Management, 12(4), 429-443. Sakaki, T., Toriumi, F., Uchiyama, K., Matsuo, Y., Shinoda, K., Kazama, K., & Noda, I. .(2013, August).The possibility of social media analysis for disaster management. presented at the meeting of the In Humanitarian Technology Conference (R10-HTC), Sendai, Japan. Shang, R.-A., Chen, Y.-C., & Chen, C.-M. (2007). Why people blog? An empirical investigations of the task technology fit model. presented at the meeting of the 11th Pacific-Asia Conference on Information Systems, Shaluf, I., M., & Ahmadun, F. (2006). Disaster Types in Malaysia: An Overview. Disaster Prevention and Management, 15(2), 286-298. Shklovski, I., Palen, L.,& Sutton, J. (2008, November). Finding community through information and communication technology during disaster events Symposium conducted at the meeting of the Conference on Computer Supported Cooperative Work (CSCW’08), San Diego, California, USA. Sharratt, M., & Usoro, A. (2003). Understanding knowledge-sharing in online communities of practice. Electronic Journal of Knowledge Management 1(2), 187-196. Smith, K. N. (2011, April 2014). Social media and political campaigns. Retrieved from http://trace.tennessee.edu/cgi/viewcontent. cgi?article=2442&context=utk_chanhonoproj Subramaniam, M., &Venkatraman, N. (2001). Determinants of transnational new product development capability: Testing the influence of transferring and deploying tacit overseas knowledge. Strategic Management Journal, 22(4), 359-378. Teo, T. S., & Men, B. (2008). Knowledge portals in Chinese consulting firms: a task–technology fit perspective. European Journal of Information Systems, 17(6), 557-574. Tierney, K., Bevc, C., & Kuligowski, E. (2006). Metaphors matter: Disaster myths, media frames, and their consequences in Hurricane Katrina. The annals of the American academy of political and social science, 604(1), 57-81. Tjahjono, B., Fakun, D., Greenough, R., & Kay, J. M. (2001, 30 March - 3 April). Evaluation of a manufacturing task support system using the task-technology fit model Symposium conducted at the meeting of the 12th Annual Conference of the Production and Operations Management Society, Orlando FL. Tongco, M. D. C. (2007). Purposive Sampling as a Tool for Informant Selection. Ethnobotany Research & Applications, 5, 147-158. Toro, U., & Joshi, M. (2012). ICT in Higher Education: Review of Literature from the Period 2004-2011. International Journal of Innovation, Management and Technology, 3(1), 20-23. Tumasjan, A., Sprenger, T. O., Sandner, P. G., & Welpe, I. M. (2010).Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment.ICWSM, 10, 178-185. Tyshchuk, Y., & Wallace, W. (2013, May). The use of social media by local government in response to an extreme event: Del Norte County, CA response to the 2011 Japan tsunami Symposium conducted at the meeting of the Proceedings of the 10th International ISCRAM Conference Baden-Baden, Germany. Van den Hooff, B., & De Ridder, J. A. (2004). Knowledge sharing in context: the influence of organizational commitment, communication climate and CMC use on knowledge sharing. Journal of Knowledge Management, 8(6), 117-130. Van den Hooff, B., Elving, W., Meeuwsen, J. M., & Dumoulin, C. (2003). Knowledge sharing in knowledge communitiesSpringer. Symposium conducted at the meeting of the Communities and technologies. Van Teijlingen, E., & Hundley, V. (2001). The importance of pilot studies. Nursing Standard, 16(40), 33-36. Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 46(2), 186-204. Wang, W. T., & Wei, Z. H. (2011). Knowledge sharing in wiki communities: an empirical study. Online Information Review, 35(5), 799-820. Wangpipatwong, S., Chutimaskul, W., &Papasratorn, B. (2008). Understanding citizen’s continuance intention to use e-government website: A composite view of technology acceptance model and computer self-efficacy. The Electronic Journal of E-government, 6(1), 55-64. Wolf, M. M., Wolf, M., Frawley, T., Torres, A., & Wolf, S. (2012, 12-14 August). Using social media to enhance learning through collaboration in higher education: A case study. presented at the meeting of the Applied and Agricultural Economics Association’s 2012 AAEA Annual Conference, Seattle, WA. 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. Youssef, A. M., Pradhan, B., & Hassan, A. M. (2011). Flash flood risk estimation along the St. Katherine road, southern Sinai, Egypt using GIS based morphometry and satellite imagery. Environmental Earth Sciences, 62(3), 611-623. Zack, M. H. (1999). Managing codified knowledge. Sloan Management Review, 40(4), 45-58. Zailani, S., Ong, H. K., &Shahnon, S. (2006). The adoption of information and communications technology (ICT) for effective knowledge management in the small and medium industry in Malaysia. Asian Journal of Information Technology, 5(1), 28-33. Zander, U., &Kogut, B. (1995). Knowledge and the speed of the transfer and imitation of organizational capabilities: An empirical test. Organization Science, 6(1), 76-92. Zhou, T., & Zhang, S. (2009).Examining the effect of e-commerce website quality on user satisfaction IEEE. Symposium conducted at the meeting of the 2009 Second International Symposium on Electronic Commerce and Security. Zigurs, I., & Buckland, B. K. (1998). A theory of task/technology fit and group support systems effectiveness. MIS Quarterly, 313-334. Zigurs, I., Buckland, B. K., Connolly, J. R., & Wilson, E. V. (1999.A test of task technology fit theory for group support systems. presented at the meeting of the The DATA BASE for Advances in Information Systems - Summer-Fall.

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