Cultivating Optimal Collaborative Decision Making in Counterterrorism Contexts: An Empirical Investigation

References

• Abbas, A., Avdic, A., Xiaobao, P., Zhao, S. L., & Chong, R. (2018). Strategic framework of collaboration in knowledge transfer of high-tech industries. Calitatea, 19(163), 74–80.
   Web of Science ®Google Scholar
• Abbas, R., Norris, T., & Parry, D. (2018). Pinpointing what is wrong with cross-agency collaboration in disaster healthcare. Journal of the International Society for Telemedicine and EHealth, 6(1), 1–3.
   Google Scholar
• Abbasi, A. Z., Ting, D. H., & Hlavacs, H. (2017). Engagement in games: Developing an instrument to measure consumer videogame engagement and its validation. International Journal of Computer Games Technology, 2017. doi:10.1155/2017/7363925.
   Web of Science ®Google Scholar
• Ali, F., Rasoolimanesh, S. M., Sarstedt, M., Ringle, C. M., & Ryu, K. (2018). An assessment of the use of partial least squares structural equation modeling (PLS-SEM) in hospitality research. International Journal of Contemporary Hospitality Management, 30(1), 514–538. doi:10.1108/IJCHM-10-2016-0568
   Web of Science ®Google Scholar
• Amjad, Z., Sabri, P. S. U., Ilyas, M., & Hameed, A. (2015). Informal relationships at workplace and employee performance: A study of employees private higher education sector. Pakistan Journal of Commerce and Social Sciences, 9(1), 303–321.
   Google Scholar
• Apulu, I., & Latham, A. (2011). Drivers for information and communication technology adoption: A case study of Nigerian small and medium sized enterprises. International Journal of Business and Management, 6(5), 51. doi:10.5539/ijbm.v6n5p51
   Google Scholar
• Avkiran, N., & Ringle, C. (2018). Partial least squares structural equation modeling. Retrieved from https://link.springer.com/content/pdf/10.1007/978-3-319-71691-6.pdf
   Google Scholar
• Aye, Z. C., Sprague, T., Cortes, V. J., Prenger-Berninghoff, K., Jaboyedoff, M., & Derron, M.-H. (2016). A collaborative (web-GIS) framework based on empirical data collected from three case studies in Europe for risk management of hydro-meteorological hazards. International Journal of Disaster Risk Reduction, 15, 10–23. doi:10.1016/j.ijdrr.2015.12.001
   Web of Science ®Google Scholar
• Beri, R. (2017, July 6). Rise of terrorism in Africa. Retrieved from https://idsa.in/idsacomments/rise-of-terrorism-in-africa_rberi_130417
   Google Scholar
• Biesenthal, C., Clegg, S., Mahalingam, A., & Sankaran, S. (2018). Applying institutional theories to managing megaprojects. International Journal of Project Management, 36(1), 43–54. doi:10.1016/j.ijproman.2017.06.006
   Web of Science ®Google Scholar
• Bircham-Connolly, H., Corner, J., & Bowden, S. (2005). An empirical study of the impact of question structure on recipient attitude during knowledge sharing. Electronic Journal of Knowledge Management, 32(1), 1–10.
   Google Scholar
• Brooks, J. M., Bodeau, D., & Fedorowicz, J. (2013). Network management in emergency response: Articulation practices of state-level managers—Interweaving up, down, and sideways. Administration & Society, 45(8), 911–948. doi:10.1177/0095399712445874
   Web of Science ®Google Scholar
• Bryson, J. M., Crosby, B. C., & Stone, M. M. (2006). The design and implementation of cross-sector collaborations: Propositions from the literature. Public Administration Review, 66(s1), 44–55. doi:10.1111/puar.2006.66.issue-s1
   Web of Science ®Google Scholar
• Cai, Y., & Mehari, Y. (2015). The use of institutional theory in higher education research. In Theory and method in higher education research (pp. 1–25). Bingley, UK: Emerald Group Publishing Limited. doi:10.1108/S2056-375220150000001001.
   Google Scholar
• Carter, J. G. (2015). Inter-organizational relationships and law enforcement information sharing post 11 September 2001. Journal of Crime and Justice, 38(4), 522–542. doi:10.1080/0735648X.2014.927786
   Web of Science ®Google Scholar
• Chae, B., Yen, H. R., & Sheu, C. (2005). Information technology and supply chain collaboration: Moderating effects of existing relationships between partners. IEEE Transactions on Engineering Management, 52(4), 440–448. doi:10.1109/TEM.2005.856570
   Web of Science ®Google Scholar
• Chatman, J. A., & Barsade, S. G. (1995). Personality, organizational culture, and cooperation: Evidence from a business simulation. Administrative Science Quarterly, 423–443. doi:10.2307/2393792
   Web of Science ®Google Scholar
• Chen, C.-Y., Mao, H. Y., Hsieh, A. T., Liu, -L.-L., & Yen, C.-H. (2013). The relationship among interactive justice, leader–Member exchange, and workplace friendship. The Social Science Journal, 50(1), 89–95. doi:10.1016/j.soscij.2012.09.009
   Web of Science ®Google Scholar
• Chin, W. (1998). Commentary: Issues and opinion on structural equation modeling. Retrieved from https://www.jstor.org/stable/249674
   Google Scholar
• Chin, W. W. (2010). How to write up and report PLS analyses. In Handbook of partial least squares (pp. 655–690). Verlag Berlin Heidelberg: Springer. doi:10.1007/978-3-540-32827-8 29.
   Google Scholar
• Coltman, T., Devinney, T. M., Midgley, D. F., & Venaik, S. (2008). Formative versus reflective measurement models: Two applications of formative measurement. Journal of Business Research, 61(12), 1250–1262. doi:10.1016/j.jbusres.2008.01.013
   Web of Science ®Google Scholar
• Conrado, S. P., Neville, K., Woodworth, S., & O’Riordan, S. (2016). Managing social media uncertainty to support the decision making process during emergencies. Journal of Decision Systems, 25(sup1), 171–181. doi:10.1080/12460125.2016.1187396
   Web of Science ®Google Scholar
• Cronin, B. (2001). Knowledge management, organizational culture and Anglo-American higher education. Journal of Information Science, 27(3), 129–137. doi:10.1177/016555150102700302
   Web of Science ®Google Scholar
• Dawes, S. S. (1996). Interagency information sharing: Expected benefits, manageable risks. Journal of Policy Analysis and Management, 15(3), 377–394. doi:10.1002/(SICI)1520-6688(199622)15:3<>1.0.CO;2-T
   Web of Science ®Google Scholar
• Diamantopoulos, A., & Siguaw, J. A. (2006). Formative versus reflective indicators in organizational measure development: A comparison and empirical illustration. British Journal of Management, 17(4), 263–282. doi:10.1111/bjom.2006.17.issue-4
   Web of Science ®Google Scholar
• Diamantopoulos, A., & Winklhofer, H. M. (2001). Index construction with formative indicators: An alternative to scale development. Journal of Marketing Research, 38(2), 269–277. doi:10.1509/jmkr.38.2.269.18845
   Web of Science ®Google Scholar
• Dietrich, P., Eskerod, P., Dalcher, D., & Sandhawalia, B. (2010). The role of project collaboration quality and knowledge integration capability in multi-partner projects. Retrieved from http://www.forskningsdatabasen.dk/en/catalog/2389079000
   Google Scholar
• DiMaggio, P., & Powell, W. W. (1983). The iron cage revisited: Collective rationality and institutional isomorphism in organizational fields. American Sociological Review, 48(2), 147–160. doi:10.2307/2095101
   Web of Science ®Google Scholar
• Dotan, H. (2007). Friendship ties at work: Origins, evolution and consequences for managerial effectiveness. Los Angeles, USA: University of California.
   Google Scholar
• Eide, A. W., Haugstveit, I. M., Halvorsrud, R., & Borén, M. (2013). Inter-organizational collaboration structures during emergency response: A case study. ISCRAM.
   Google Scholar
• Foley, F. (2016). Why inter-agency operations break down: US counterterrorism in comparative perspective. European Journal of International Security, 1(2), 150–175. doi:10.1017/eis.2016.10
   Web of Science ®Google Scholar
• Franco, L. A., Cushman, M., & Rosenhead, J. (2006). Facilitating collaboration across organisational boundaries: An exploratory study using problem structuring methods. Coordination and cooperation across organisational boundaries, Milan, Italy.
   Google Scholar
• Fullwood, R., & Rowley, J. (2017). An investigation of factors affecting knowledge sharing amongst UK academics. Journal of Knowledge Management, 21(5), 1254–1271.
   Web of Science ®Google Scholar
• Gil-Garcia, J. R., & Sayogo, D. S. (2016). Government inter-organizational information sharing initiatives: Understanding the main determinants of success. Government Information Quarterly, 33(3), 572–582. doi:10.1016/j.giq.2016.01.006
   Web of Science ®Google Scholar
• Gittell, J. H., & Fields, A. (2003). The Southwest Airlines way: Using the power of relationships to achieve high performance. New York, NY: McGraw-Hill New York.
   Google Scholar
• Glomseth, R., Gottschalk, P., & Solli-Saether, H. (2007). Occupational culture as determinant of knowledge sharing and performance in police investigations. International Journal of the Sociology of Law, 35(2), 96–107. doi:10.1016/j.ijsl.2007.03.003
   Google Scholar
• Gornall, L., Thomas, B., & Sweetman, L. (2018). Exploring consensual leadership in higher education: co-operation, collaboration and partnership. New York, NY: Bloomsbury Publishing.
   Google Scholar
• Grace, M., Coventry, L., & Batterham, D. (2012). The role of interagency collaboration in “joined-up” case management. Journal of Interprofessional Care, 26(2), 141–149. doi:10.3109/13561820.2011.637646
   PubMed Web of Science ®Google Scholar
• Groenleer, M. (2009). The autonomy of European Union agencies: A comparative study of institutional development. Utrecht, Netherlands: Eburon Uitgeverij BV.
   Google Scholar
• Grover, V., Teng, J. T. C., & Fiedler, K. D. (2002). Investigating the role of information technology in building buyer-supplier relationships. Journal of the Association for Information Systems, 3(1), 7. doi:10.17705/1jais.00027
   Google Scholar
• Haddow, G. D., & Haddow, K. S. (2013). Disaster communications in a changing media world. Oxford, UK: Butterworth-Heinemann.
   Google Scholar
• Hair, F., Jr, J., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM). European Business Review, 26(2), 106–121. doi:10.1108/EBR-10-2013-0128
   Google Scholar
• Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. doi:10.2753/MTP1069-6679190202
   Google Scholar
• Hipple, N. K., McGarrell, E. F., O’Brien, M., & Huebner, B. M. (2017). Gun crime incident reviews as a strategy for enhancing problem solving and information sharing. Journal of Crime and Justice, 40(1), 50–67. doi:10.1080/0735648X.2016.1155303
   Web of Science ®Google Scholar
• Hoque, A. S. M. M., Siddiqui, B. A., Bin, A. Z., & Baharu, S. M. A. T. (2018). Exploratory factor analysis of entrepreneurial orientation in the context of bangladeshi small and medium enterprises (SMES). European Journal of Management and Marketing Studies, 3(2).
   Google Scholar
• Houston, J. B., Hawthorne, J., Perreault, M. F., Park, E. H., Goldstein Hode, M., Halliwell, M. R., Turner McGowen SE, Davis R, Vaid S, McElderry JA, Griffith SA. (2015). Social media and disasters: A functional framework for social media use in disaster planning, response, and research. Disasters, 39(1), 1–22. doi:10.1111/disa.12092
   PubMed Web of Science ®Google Scholar
• Hughes-Morley, A., Clarke, A., & MacBryde, J. (2016). What models or mechanisms for inter-agency collaboration between the police or law enforcement and other statutory agencies for people with mental problems have been evaluated, and what evidence is available on their effectiveness. A Systematic Scoping Review. Retrieved from http://connectebp.org/wp-content/uploads/2016/09/Inter-AgencyScoping-Review-Protocol-v1-05.09.2016.pdf
   Google Scholar
• Intelligence Community Department of Homeland Security Department of Justice. (2017). Review of domestic sharing of counterterrorism information. Retrieved from https://www.dni.gov/files/documents/Newsroom/Domestic_Sharing_Counterterrorism_Information_Report.pdf
   Google Scholar
• Jepperson, R. L. (1991). Institutions, institutional effects, and institutionalism. The New Institutionalism in Organizational Analysis, 6, 143–163.
   Google Scholar
• Kamensky, J. M., Burlin, T. J., & Abramson, M. A. (2004). Networks and partnerships: Collaborating to achieve results no one can achieve alone. In Collaboration: Using Networks and Partnerships (pp. 3–20). New York, NY: Rowman & Littlefield.
   Google Scholar
• Kapucu, N., Arslan, T., & Demiroz, F. (2010). Collaborative emergency management and national emergency management network. Disaster Prevention and Management: an International Journal, 19(4), 452–468. doi:10.1108/09653561011070376
   Web of Science ®Google Scholar
• Kapucu, N., & Garayev, V. (2011). Collaborative decision-making in emergency and disaster management. International Journal of Public Administration, 34(6), 366–375. doi:10.1080/01900692.2011.561477
   Google Scholar
• Kapucu, N., & Haupt, B. (2016). Information communication technology use for public safety in the United States. Frontiers in Communication, 1, 8. doi:10.3389/fcomm.2016.00008
   Google Scholar
• Kapucu, N., & Hu, Q. (2016). Understanding multiplexity of collaborative emergency management networks. The American Review of Public Administration, 46(4), 399–417. doi:10.1177/0275074014555645
   Web of Science ®Google Scholar
• Kim, S., & Lee, H. (2005). Employee knowledge sharing capabilities in public & private organizations: Does organizational context matter? System Sciences, 2005. HICSS’05. Proceedings of the 38th Annual Hawaii International Conference (pp. 249a–249a). Big Island, HI, USA.
   Google Scholar
• Kirley, E. A., McKane, P., & Chouinard, P. (n.d.). Field Case Study Involving Qualitative Research of Police and Health Care Personnel Regarding their Collaborative Experiences with Military Personnel.
   Google Scholar
• Kittiyankajon, M., & Chetchotsak, D. (2018). Group decision making for strategy prioritisation using hybrid aggregation: A case study of sugar industry in Thailand. International Journal of Applied Management Science, 10(4), 338–361. doi:10.1504/IJAMS.2018.095325
   Google Scholar
• Klischewski, R., & Scholl, H. J. (2008). Information quality as capstone in negotiating e-government integration, interoperation and information sharing. Electronic Government, an International Journal, 5(2), 203–225. doi:10.1504/EG.2008.016647
   Google Scholar
• Lamb, C., & Staine-Pyne, E. (2014). 9/11, Counterterrorism and the senior interagency strategy team. Retrieved from http://thesimonscenter.org/wp-content/uploads/2014/04/IAS-003-APRIL14.pdf
   Google Scholar
• Leonardi, P. M., Huysman, M., & Steinfield, C. (2013). Enterprise social media: Definition, history, and prospects for the study of social technologies in organizations. Journal of Computer-Mediated Communication, 19(1), 1–19. doi:10.1111/jcc4.2013.19.issue-1
   Web of Science ®Google Scholar
• Lind, J. (2015). Understanding insurgent margins in Kenya. Brighton, UK: Institute of Development Studies.
   Google Scholar
• Lopes Morrison, R. (2005). Informal relationships in the workplace: Associations with job satisfaction, organisational commitment and turnover intentions. Auckland, NewZealand: Massey University.
   Google Scholar
• López, P. G., & Skarmeta, A. F. G. (2003). ANTS framework for cooperative work environments. Computer, (3), 56–62. doi:10.1109/MC.2003.1185218
   Web of Science ®Google Scholar
• Marín-García, J. A., Pérez-Peñalver, M. J., & Watts, F. (2013). How to assess innovation competence in services: The case of university students. Dirección Y Organización, 50, 48–62.
   Google Scholar
• Martins, D. M., de Faria, A. C., Prearo, L. C., & Arruda, A. G. S. (2017). The level of influence of trust, commitment, cooperation, and power in the interorganizational relationships of Brazilian credit cooperatives. Revista De Administração, 52(1), 47–58. doi:10.1016/j.rausp.2016.09.003
   Google Scholar
• Memon, M. A., Ting, H., Ramayah, T., Chuah, F., & Cheah, J. H. (2017). A review of the methodological misconceptions and guidelines related to the application of structural equation modeling: A Malaysian scenario. Journal of Applied Structural Equation Modeling, 1(1), i–xiii.
   Google Scholar
• Merchant, R. M., Elmer, S., & Lurie, N. (2011). Integrating social media into emergency-preparedness efforts. New England Journal of Medicine, 365(4), 289–291. doi:10.1056/NEJMp1103591
   PubMed Web of Science ®Google Scholar
• Meyer, J. W., & Rowan, B. (1977). Institutionalized organizations: Formal structure as myth and ceremony. American Journal of Sociology, 340–363. doi:10.1086/226550
   Web of Science ®Google Scholar
• Mikhaylov, S. J., Esteve, M., & Campion, A. (2018). Artificial intelligence for the public sector: Opportunities and challenges of cross-sector collaboration. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 376(2128), 20170357. doi:10.1098/rsta.2017.0357
   PubMed Web of Science ®Google Scholar
• NATO. (2015). The Paris attacks: A case of intelligence failure? Retrieved from http://www.nato.int/docu/review/2015/ISIL/Paris-attacks-terrorism-intelligence-ISIS/EN/index.htm
   Google Scholar
• Neville, K., O’Riordan, S., Pope, A., Rauner, M., Rochford, M., Madden, M., … O‘Brien, C. (2016). Towards the development of a decision support system for multi-agency decision-making during cross-border emergencies. Journal of Decision Systems, 25(sup1), 381–396. doi:10.1080/12460125.2016.1187393
   Web of Science ®Google Scholar
• Nitzl, C. (2018). Management accounting and partial least squares-structural equation modelling (PLS-SEM): Some illustrative examples (pp. 211–229). Springer Nature Switzerland AG: Springer. doi:10.1007/978-3-319-71691-6_7
   Google Scholar
• Ochara, N. M., & Odhiambo, N. A. (2018). Sociomateriality of digital technologies in collaborative decision-making counter-terrorism contexts. ICMLG 2018 6th International Conference on Management Leadership and Governance (p. 219). Bangkok, Thailand.
   Google Scholar
• Odhiambo, N. A., Ochara, N. M., & Kadymatimba, A. (2018). Structuring of the terrorism problem in the digital age: A systems perspective. 2018 Open Innovations Conference (OI) (pp. 148–154). Johannesburg, South- Africa.
   Google Scholar
• Office, H. (2014). Multi agency working and information sharing project. London, UK: Home Office London.
   Google Scholar
• Owen, D., & Owen, D. (2015). Collaborative decision making. Decision Analysis, 12(1), 1–59.
   PubMed Web of Science ®Google Scholar
• Palinkas, L. A., Fuentes, D., Finno, M., Garcia, A. R., Holloway, I. W., & Chamberlain, P. (2014). Inter-organizational collaboration in the implementation of evidence-based practices among public agencies serving abused and neglected youth. Administration and Policy in Mental Health and Mental Health Services Research, 41(1), 74–85. doi:10.1007/s10488-012-0437-5
   PubMed Web of Science ®Google Scholar
• Panahifar, F., Byrne, P. J., Salam, M. A., & Heavey, C. (2018). Supply chain collaboration and firm’s performance. Journal of Enterprise Information Management, 31(3), 358–379. doi:10.1108/JEIM-08-2017-0114
   Web of Science ®Google Scholar
• Pardo, T. A., Gil-Garcia, J. R., & Burke, G. B. (2008a). Building Response Capacity through Cross-boundary Information Sharing.
   Google Scholar
• Pardo, T. A., Gil-Garcia, J. R., & Burke, G. B. (2008b). Governance structures in cross-boundary information sharing: Lessons from state and local criminal justice initiatives. Hawaii International Conference on System Sciences, Proceedings of the 41st Annual (p. 211). Waikoloa, HI, USA.
   Google Scholar
• Petter, S., Straub, D. W., & Rai, A. (2007). Specifying formative constructs in information systems research.
   Google Scholar
• Powell, W. W., & DiMaggio, P. J. (2012). The new institutionalism in organizational analysis. Chicago, USA: University of Chicago Press.
   Google Scholar
• Raghu, T. S., Ramesh, R., & Whinston, A. B. (2005). Addressing the homeland security problem: A collaborative decision-making framework. Journal of the American Society for Information Science and Technology, 56(3), 310–324. doi:10.1002/(ISSN)1532-2890
   Web of Science ®Google Scholar
• Ranta, V., Aarikka-Stenroos, L., Ritala, P., & Mäkinen, S. J. (2018). Exploring institutional drivers and barriers of the circular economy: A cross-regional comparison of China, the US, and Europe. Resources, Conservation and Recycling, 135, 70–82. doi:10.1016/j.resconrec.2017.08.017
   Web of Science ®Google Scholar
• Ravand, H., & Baghaei, P. (2016). Partial least squares structural equation modeling with R. Practical Assessment, Research & Evaluation, 21(11), 1–16.
   Google Scholar
• Reich, T. C., & Hershcovis, M. S. (2011). Interpersonal relationships at work. APA Handbook of Industrial and Organizational Psychology, 3, 223–248.
   Google Scholar
• Rodríguez-Espíndola, O., Albores, P., & Brewster, C. (2018). Disaster preparedness in humanitarian logistics: A collaborative approach for resource management in floods. European Journal of Operational Research, 264(3), 978–993. doi:10.1016/j.ejor.2017.01.021
   Web of Science ®Google Scholar
• Sánchez, G., & Trinchera, L. (n.d.). Russolillo G. plspm: Tools for partial least squares path modeling (PLS-PM). (R package version 0.4. 7. 2015).
   Google Scholar
• Sayogo, D. S., & Gil-Garcia, J. R. (2014, June 18–21). Understanding the determinants of success in inter-organizational information sharing initiatives: Results from a national survey. Proceedings of the 15th Annual International Conference on Digital Government Research (pp. 100–109). Aguascalientes, Mexico.
   Google Scholar
• Schifferes, S., Newman, N., Thurman, N., Corney, D., Göker, A., & Martin, C. (2014). Identifying and verifying news through social media: Developing a user-centred tool for professional journalists. Digital Journalism, 2(3), 406–418. doi:10.1080/21670811.2014.892747
   Web of Science ®Google Scholar
• Scott, W. R. (2008a). Institutions and organizations: Ideas and interests (3rd ed.). Los Angeles, CA: Sage Publications Sage CA.
   Google Scholar
• Scott, W. R. (2001). Instituitions and organizations. Thousande Oakes, CA: Sage.
   Google Scholar
• Scott, W. R. (2008b). Approaching adulthood: The maturing of institutional theory. Theory and Society, 37(5), 427. doi:10.1007/s11186-008-9067-z
   Web of Science ®Google Scholar
• Scott, W. R. (2011). The institutional environment of global projects. Global Projects: Institutional and Political Challenges, 2, 52–85. doi:10.1080/21573727.2011.634546.
   Google Scholar
• Scott, W. R. (2013). Institutions and organizations: Ideas, interests, and identities. London, UK: Sage Publications.
   Google Scholar
• Scott, W. R. (2014). W. Richard SCOTT (1995), Institutions and organizations. Ideas, interests and identities. M@ N@ Gement, 17(2), 136–140. doi:10.3917/mana.172.0136
   Google Scholar
• Simon, T., Goldberg, A., & Adini, B. (2015). Socializing in emergencies—A review of the use of social media in emergency situations. International Journal of Information Management, 35(5), 609–619. doi:10.1016/j.ijinfomgt.2015.07.001
   Web of Science ®Google Scholar
• Skopik, F., Settanni, G., & Fiedler, R. (2016). A problem shared is a problem halved: A survey on the dimensions of collective cyber defense through security information sharing. Computers & Security, 60, 154–176. doi:10.1016/j.cose.2016.04.003
   Web of Science ®Google Scholar
• Smith, K. G., Carroll, S. J., & Ashford, S. J. (1995). Intra-and interorganizational cooperation: Toward a research agenda. Academy of Management Journal, 38(1), 7–23.
   Web of Science ®Google Scholar
• Stoddart, L. (2001). Managing intranets to encourage knowledge sharing: Opportunities and constraints. Online Information Review, 25(1), 19–29. doi:10.1108/14684520110366661
   Web of Science ®Google Scholar
• Strang, D., & Sine, W. D. (2002). Interorganizational institutions. Companion to Organizations, 497–519.
   Google Scholar
• Tang, P., Chen, H., & Shao, S. (2018). Examining the intergovernmental and interorganizational network of responding to major accidents for improving the emergency management system in China. Complexity, 2018.
   PubMed Web of Science ®Google Scholar
• Three facts about the ICT sector | Statistics South Africa. (n.d.). Retrieved from http://www.statssa.gov.za/?p=9852
   Google Scholar
• Tim, Y., Pan, S. L., Ractham, P., & Kaewkitipong, L. (2017). Digitally enabled disaster response : The emergence of social media as boundary objects in a fl ooding disaster. Information Systems Journal, 27(May 2011), 197–232. doi:10.1111/isj.12114
   Web of Science ®Google Scholar
• Tyler, T. R. (2003). Trust within organisations. Personnel Review, 32(5), 556–568. doi:10.1108/00483480310488333
   Web of Science ®Google Scholar
• Van Den Hoed, R., & Vergragt, P. J. (2017). Institutional change in the automotive industry: Or how fuel-cell technology is being institutionalised. In P. Nieuwenhuis, P. Vergragt, & P. Wells (Eds.), The Business of sustainable mobility (pp. 61–79). London, UK: Routledge.
   Google Scholar
• Walczak, S. (2005). Organizational knowledge management structure. The Learning Organization, 12(4), 330–339. doi:10.1108/09696470510599118
   Google Scholar
• Wang, F. (2018). Understanding the dynamic mechanism of interagency government data sharing. Government Information Quarterly, 35(4), 536–546. doi:10.1016/j.giq.2018.08.003
   Web of Science ®Google Scholar
• Wu, S. P.-J., Straub, D. W., & Liang, T.-P. (2015). How information technology governance mechanisms and strategic alignment influence organizational performance: Insights from a matched survey of business and IT managers. Mis Quarterly, 39(2), 497–518. doi:10.25300/MISQ/2015/39.2.10
   Web of Science ®Google Scholar
• Wu, W.-N., & Chang, S.-M. (2018). Collaboration mechanisms of Taiwan nonprofit organizations in disaster relief efforts: Drawing lessons from the Wenchuan earthquake and typhoon Morakot. Sustainability, 10(11), 4328. doi:10.3390/su10114328
   Web of Science ®Google Scholar
• Yang, T.-M., & Wu, Y.-J. (2014). Exploring the determinants of cross-boundary information sharing in the public sector: An e-Government case study in Taiwan. Journal of Information Science, 40(5), 649–668. doi:10.1177/0165551514538742
   Web of Science ®Google Scholar
• Zaw, T. N., & Lim, S. (2017). The military’s role in disaster management and response during the 2015 Myanmar floods: A social network approach. International Journal of Disaster Risk Reduction, 25, 1–21. doi:10.1016/j.ijdrr.2017.06.023
   Web of Science ®Google Scholar
• Zhang, J., & Dawes, S. S. (2006). Expectations and perceptions of benefits, barriers, and success in public sector knowledge networks. Public Performance & Management Review, 29(4), 433–466.
   Google Scholar
• Zheng, L., Yang, T.-M., Pardo, T., & Jiang, Y. (2009). Understanding the” boundary” in information sharing and integration. System Sciences, 2009. HICSS’09. 42nd Hawaii International Conference (pp. 1–10). Big Island, HI, USA.
   Google Scholar