Resilient Organization Roadmap for Sustained Organization using a Generative Approach: A Case of Landesa Myanmar

The global pandemic and political situation in Myanmar disrupted the country’s economy and put at risk of gradual economic progress. Ongoing programs for the rural communities are facing adversities and Landesa Myanmar is no exception. The reactions of employees and organization are critical for organizational sustainability and employees need to understand the factors governing the resilience and applications of those factors in organizational resiliency. The research was conducted to co-create the roadmap of organizational resiliency by using quick SOAR analysis to discover the strengths of the employees and to explore the shared aspirations of employees. In this study, qualitative method with phenomenology research approach was applied, and data were gathered via structured interviews. Fifteen employees from different level positions were horizontally selected to participate in the research.  Data from interviews were analyzed by using content analysis with three coders consists of the researcher, another coder from outside of the organization and one from the respondents. The MAXQDA 2020 software was also used to double checking the relevancy of the results. The findings show that strengths and aspirations are core elements to achieve resilient organization towards the sustained organization. The components of strengths include three stages of resilience, Employee Engagement, Organizational Commitment and Appreciative Resilience practices of leadership built from AI. The aspirations include future of organization, employees’ contributions, success of organization and difference between now and after crisis. Finally, the roadmap of organizational resilience is generated based on the strengths and aspirations of employees for enhancing organizational resilience and sustainability

Socializing One Health: an innovative strategy to investigate social and behavioral risks of emerging viral threats

In an effort to strengthen global capacity to prevent, detect, and control infectious diseases in animals and people, the United States Agency for International Development’s (USAID) Emerging Pandemic Threats (EPT) PREDICT project funded development of regional, national, and local One Health capacities for early disease detection, rapid response, disease control, and risk reduction. From the outset, the EPT approach was inclusive of social science research methods designed to understand the contexts and behaviors of communities living and working at human-animal-environment interfaces considered high-risk for virus emergence. Using qualitative and quantitative approaches, PREDICT behavioral research aimed to identify and assess a range of socio-cultural behaviors that could be influential in zoonotic disease emergence, amplification, and transmission. This broad approach to behavioral risk characterization enabled us to identify and characterize human activities that could be linked to the transmission dynamics of new and emerging viruses. This paper provides a discussion of implementation of a social science approach within a zoonotic surveillance framework. We conducted in-depth ethnographic interviews and focus groups to better understand the individual- and community-level knowledge, attitudes, and practices that potentially put participants at risk for zoonotic disease transmission from the animals they live and work with, across 6 interface domains. When we asked highly-exposed individuals (ie. bushmeat hunters, wildlife or guano farmers) about the risk they perceived in their occupational activities, most did not perceive it to be risky, whether because it was normalized by years (or generations) of doing such an activity, or due to lack of information about potential risks. Integrating the social sciences allows investigations of the specific human activities that are hypothesized to drive disease emergence, amplification, and transmission, in order to better substantiate behavioral disease drivers, along with the social dimensions of infection and transmission dynamics. Understanding these dynamics is critical to achieving health security--the protection from threats to health-- which requires investments in both collective and individual health security. Involving behavioral sciences into zoonotic disease surveillance allowed us to push toward fuller community integration and engagement and toward dialogue and implementation of recommendations for disease prevention and improved health security