The research design involves the techniques adopted in conducting qualitative or quantitative research. This study will be based on the exploratory research design and longitudinal research design. According to Pandey & Pandey (2021), an exploratory research design involves qualitatively evaluating a subject matter. An exploratory search examines a problem that is not defined clearly. The exploratory research design is relevant where an area of research lacks clear articulation and concerns with establishing foundations in analyzing a given subject matter.

Since there exists a research gap on the role of social media and information sharing in disaster management, the exploratory research design will be applied to fill this knowledge gap. On the other hand, longitudinal research design will examine the correlation characterizing study variables over a given period. Longitudinal research design enables the complete examination of variable characteristics involving multiple periods. Thus, the longitudinal research design will be relevant in this study to allow the researcher to collect, analyze, interpret and present data and findings for an extended time.

Population and Sample Size

The population is the whole group of parameters a researcher is interested in studying. On the other hand, the sample size is the sub-set of a population scientifically selected to participate in a study whose findings are used for generalization. The target population for this study will be bloggers, experts in emergency management, and social media users who understand the role of social media in disaster management. A sample of 15 participants from each category of the identified target population will be selected for the study. Therefore, the clustered sampling technique will be applied in coming up with the 15 participants.

Data Collection Instruments

The study on the role of social media and information in disaster management will rely on both primary and secondary data. According to Nayak & Singh (2021), primary data is the first-hand information on study variables a researcher collects. The researcher will use interview guides and questionnaires to collect primary data on the 15 study participants. Secondary data is information already collected and processed. Secondary data on the role of social media and information sharing in disaster management will be collected from publications, newspapers, magazines, journals, and books.

Data Collection Procedure

Both secondary and primary data will be used in this study, collected from various sources. The primary data collection procedure will involve sending research questionnaires online to the respondents, and for the interview guide, the researcher will hold online interview sessions with the respondents. The secondary data will be collected from multiple periods, involving calendar years between 2015 to 2021.

Data Analysis and Presentation

Data analysis involves applying analytical and statistical techniques to describe, summarize, and compare data outcomes procedurally. This study will use the Statistical Package for Social Sciences (SPPS) version 25 to analyze collected primary and secondary data to determine the effect of social media and information in disaster management.

Analytical Model

Since the study involves two independent variables against a dependent variable. The multivariate model will enable correlation and regression analysis on the role of social media and information in disaster management. The following multiple regression model will be applied in this study;

Y= β0+ β1 X 1t + β2 X 2t + ε


Y= Represents Disaster Management.

β0= Free Term of the Equation, the y-intercept (constant term)

β1 to β2= Correlation coefficient (betas)

X1 = Social Media

X2 = Information Sharing

T= Calendar Year

ẹ = Error Term, representing other factors affecting disaster management not included in the model



Nayak, J. K., & Singh, P. (2021). Fundamentals of Research Methodology Problems and Prospects. SSDN Publishers & Distributors.

Pandey, P., & Pandey, M. M. (2021). Research Methodology Tools and Techniques.