Embeddedness in cross-agency collaboration and emergency management capability: Evidence from Shanghai's urban contingency plans

Abstract Governments are increasingly emphasizing emergency management in response to public emergencies that cause extensive consequences and involve multiple government agencies. One of the influential measures adopted by governments is the establishment of cross-agency networks. Scholars have validated the importance of cross-agency collaboration and networks, but only a few studies have examined cross-agency information sharing and utilization mechanism of joint emergency actions. Inspired by the theory of network embeddedness, we study the joint effects of informational and task attributes of embeddedness and absorptive capacity of the leading agency on collaborative emergency capacity. Our data consist of 110 local government contingency plans collected from F District in Shanghai, China. We found that a well-structured cross-agency network and a leading department with great information accessibility will significantly affect the efficiency of emergency collaborations. The capacity to absorb information significantly enhances the improvement of emergency collaboration.

[1]  A. J. Verdú-Jover,et al.  Environment–Flexibility Coalignment and Performance: An Analysis in Large versus Small Firms , 2006 .

[2]  Keith G. Provan,et al.  Do networks really work? A framework for evaluating public-sector organizational networks , 1999 .

[3]  Barbara B. Flynn,et al.  The impact of power and relationship commitment on the integration between manufacturers and customers in a supply chain , 2008 .

[4]  Donald P. Moynihan,et al.  From Intercrisis to Intracrisis Learning , 2009 .

[5]  Zhou Hao,et al.  Statistical Remedies for Common Method Biases , 2004 .

[6]  S. Zahra,et al.  Absorptive Capacity: A Review, Reconceptualization, and Extension , 2002 .

[7]  Marjorie A. Lyles,et al.  Inter-Organizational Knowledge Transfer: Current Themes and Future Prospects , 2008 .

[8]  P. Daugherty,et al.  SUPPLY CHAIN COLLABORATION AND LOGISTICAL SERVICE PERFORMANCE , 2001 .

[9]  R. Narasimhan,et al.  Effect of supply chain integration on the relationship between diversification and performance: evidence from Japanese and Korean firms , 2002 .

[10]  Florian Henning,et al.  A theoretical framework on the determinants of organisational adoption of interoperability standards in Government Information Networks , 2016, Government Information Quarterly.

[11]  R. Gulati Alliances and networks , 1998 .

[12]  Barbara B. Flynn,et al.  The impact of supply chain integration on performance: A contingency and configuration approach , 2010 .

[13]  Toddi A. Steelman,et al.  Communication Under Fire: The Role of Embeddedness in the Emergence and Efficacy of Disaster Response Communication Networks , 2014 .

[14]  S. Dawes The Evolution and Continuing Challenges of E-Governance , 2008 .

[15]  Enno Siemsen,et al.  Common Method Bias in Regression Models With Linear, Quadratic, and Interaction Effects , 2010 .

[16]  Andrew C. Inkpen,et al.  Social Capital, Networks, and Knowledge Transfer , 2005 .

[17]  Liu Tie-min Studies on scenes' construction of emergency planning——part I of emergency planning technology based on “scene-task-ability” , 2012 .

[18]  C. Ansell,et al.  Collaborative Governance in Theory and Practice , 2007 .

[19]  Naim Kapucu,et al.  Designing, Managing, and Sustaining Functionally Collaborative Emergency Management Networks , 2013 .

[20]  C. Fornell,et al.  Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics , 1981 .

[21]  Christopher S. Tang,et al.  The Value of Information Sharing in a Two-Level Supply Chain , 2000 .

[22]  Gordon Müller-Seitz,et al.  From High-Reliability Organizations to High-Reliability Networks: The Dynamics of Network Governance in the Face of Emergency , 2016 .

[23]  Steven B. Andrews,et al.  Structural Holes: The Social Structure of Competition , 1995, The SAGE Encyclopedia of Research Design.

[24]  Dieter Ernst,et al.  Global Production Networks, Information Technology and Knowledge Diffusion , 2002 .

[25]  Bo Fan The impact of information technology capability, information sharing and government process redesign on the operational performance of emergency incident management systems , 2013, Inf. Res..

[26]  Justin J. P. Jansen,et al.  Managing Potential and Realized Absorptive Capacity: How Do Organizational Antecedents Matter? , 2005 .

[27]  Kun Huang Knowledge Sharing in a Third-Party-Governed Health and Human Services Network , 2014 .

[28]  Thomas Y. Choi,et al.  Structural investigation of supply networks: A social network analysis approach , 2011 .

[29]  B. Bull,et al.  CONSENSUS ANALYSIS , 1986, The Lancet.

[30]  A. Gunasekaran,et al.  A framework for supply chain performance measurement , 2004 .

[31]  Donald P. Moynihan,et al.  The Network Governance of Crisis Response: Case Studies of Incident Command Systems , 2009 .

[32]  Jane M. Howell,et al.  Influence of Experience on Personal Computer Utilization: Testing a Conceptual Model , 1994, J. Manag. Inf. Syst..

[33]  Corey C. Phelps,et al.  Interfirm Collaboration Networks: The Impact of Large-Scale Network Structure on Firm Innovation , 2007, Manag. Sci..

[34]  Christopher P. Holland,et al.  Mixed Mode Network Structures: The Strategic Use of Electronic Communication by Organizations , 1997 .

[35]  Thomas Y. Choi,et al.  Toward the Theory of the Supply Chain , 2015 .

[36]  Bin Chen,et al.  Integrated or Disconnected? Examining Formal and Informal Networks in a Merged Nonprofit Organization , 2013 .

[37]  M. V. Valkenburg Network Analysis , 1964 .

[38]  Augustine A. Lado,et al.  Inter‐organizational communication as a relational competency: Antecedents and performance outcomes in collaborative buyer–supplier relationships , 2008 .

[39]  M. Zelen,et al.  Rethinking centrality: Methods and examples☆ , 1989 .

[40]  Thomas Y. Choi,et al.  STRUCTURAL EMBEDDEDNESS AND SUPPLIER MANAGEMENT: A NETWORK PERSPECTIVE* , 2008 .

[41]  Tammy O. Tengs,et al.  Five-hundred life-saving interventions and their cost-effectiveness. , 1995, Risk analysis : an official publication of the Society for Risk Analysis.

[42]  Marshall L. Fisher,et al.  Supply Chain Inventory Management and the Value of Shared Information , 2000 .

[43]  O. Braun,et al.  EMS system performance: the use of cardiac arrest timelines. , 1993, Annals of emergency medicine.

[44]  Mark S. Granovetter Economic Action and Social Structure: The Problem of Embeddedness , 1985, American Journal of Sociology.

[45]  John T. Mentzer,et al.  Logistics and interdepartmental integration , 1996 .

[46]  C. Hardy,et al.  Inter-organizational collaboration and the dynamics of institutional fields , 2002 .

[47]  R. Gulati,et al.  STRATEGIC NETWORKS , 2000 .

[48]  Seok-Jin Eom,et al.  Can social media increase government responsiveness? A case study of Seoul, Korea , 2018, Gov. Inf. Q..

[49]  Vivienne Monty Getting Agencies to Work Together: The Practice and Theory of Managerial Craftsmanship , 2001 .

[50]  Anand Nair,et al.  Complexity and Adaptivity in Supply Networks: Building Supply Network Theory Using a Complex Adaptive Systems Perspective , 2007, Decis. Sci..

[51]  J. Stiglitz,et al.  The Great Transformation: The Political and Economic Origins of Our Time , 2001 .

[52]  Toni M. Somers,et al.  Impact of Environmental Uncertainty and Task Characteristics on User Satisfaction with Data , 2004, Inf. Syst. Res..

[53]  D. Ford,et al.  How should companies interact in business networks , 2002 .

[54]  Robin H. Lemaire,et al.  Core concepts and key ideas for understanding public sector organizational networks: Using research to inform scholarship and practice , 2012 .

[55]  Victor R. Prybutok,et al.  Measuring e-government readiness , 2008, Inf. Manag..

[56]  J. Johanson,et al.  Creating value through mutual commitment to business network relationships , 1999 .

[57]  D. Gann,et al.  The Effects of Culture and Structure on Strategic Flexibility During Business Model Innovation , 2012 .

[58]  Naim Kapucu,et al.  Collaborative emergency management and national emergency management network , 2010 .

[59]  R. Karl Rethemeyer,et al.  Network analysis , 2011 .

[60]  Wynne W. Chin Issues and Opinion on Structural Equation Modeling by , 2009 .

[61]  M. Lindell,et al.  Preparedness for emergency response: guidelines for the emergency planning process. , 2003, Disasters.

[62]  Kun Huang,et al.  The evolution of structural embeddedness and organizational social outcomes in a centrally governed health and human services network , 2009 .

[63]  M. Schweitzer,et al.  Goals Gone Wild: The Systematic Side Effects of Overprescribing Goal Setting , 2009 .

[64]  Marcus A. Bellamy,et al.  The influence of supply network structure on firm innovation , 2014 .

[65]  A. Cresswell,et al.  From "Need to Know" to "Need to Share": Tangled Problems, Information Boundaries, and the Building of Public Sector Knowledge Networks , 2009 .

[66]  G. Ahuja Collaboration Networks, Structural Holes, and Innovation: A Longitudinal Study , 1998 .

[67]  Kun Huang,et al.  Linkage between Service Delivery and Administrative Advocacy: Comparative Evidence on Cliques from a Mental Health Network in the US and an Elderly Care Network in China , 2019, Journal of Comparative Policy Analysis: Research and Practice.

[68]  D. Krackhardt,et al.  Activating Cross-Boundary Knowledge: The Role of Simmelian Ties in the Generation of Innovations , 2010 .

[69]  P. Ingram,et al.  Friendships among Competitors in the Sydney Hotel Industry1 , 2000, American Journal of Sociology.

[70]  M. Lauras,et al.  Impact of the Key Determinants of a Distributed Planning Process on the Performance of a Supply Chain , 2011 .