Social media response and crisis communications in active shootings during COVID-19 pandemic

Rusho, M. Ahmed; Ahmed, Ashraf Uddin; Sadri, Arif Mohaimin

doi:10.1016/j.trip.2021.100420

Cited by 5 publications

(4 citation statements)

References 11 publications

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“…, 2023). Despite potential costs related to advertising campaigns or agency services, social media analytics tools remain a notably cost-effective alternative when compared to traditional analytics approaches (Rusho et al. , 2021).…”

Section: Discussionmentioning

confidence: 99%

“…Alternative options are also available for companies seeking more actionable insights from social media, such as advanced social media analytics solutions or specialized agencies with extensive expertise and resources, which may involve additional expenses (Myers et al, 2023). Despite potential costs related to advertising campaigns or agency services, social media analytics tools remain a notably cost-effective alternative when compared to traditional analytics approaches (Rusho et al, 2021).…”

Section: Practical Implications For Businessesmentioning

confidence: 99%

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Effect of social media analytics on firm performance: the moderating role of entrepreneurial orientation

Onngam,

Charoensukmongkol

2024

JABS

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Purpose The purpose of this study was to analyze the effects of social media analytics on firm performance using a sample of small and medium enterprises (SMEs) in Thailand. This study also investigated whether entrepreneurial orientation (EO) moderated the effects of social media analytics on firm performance. Design/methodology/approach This study used SMEs listed in the Department of Business Development of Thailand as the sampling frame. Probability sampling was used to draw the sample. A questionnaire survey was used to collect data from 334 firms. The data were analyzed using partial least squares structural equation modeling. Findings The results supported the positive association between social media analytics practices on firm performance. Moreover, this study found that EO moderated this association significantly. In particular, the positive association between social media analytics practices on firm performance was higher for firms that exhibit a high EO than those that exhibit a low EO. This result indicated that firms that implement social media analytics practices achieved higher performance when they exhibited a high EO. Practical implications Social media data analytics should be implemented to strengthen the technological competence of firms. Moreover, firms should integrate EO practices into their implementation of social media analytics to increase their ability to generate substantial improvements in their strategic implementation, thereby enabling them to gain sustainable competitiveness in their market. Social implications Because SMEs are the driving force for economic growth and development in Thailand, their ability to achieve higher performance when they effectively integrate EO practices into their implementation of social media data analytics could be beneficial for the sustainable development of Thailand, especially in the current data-driven era. Originality/value The result that EO moderates the effect in enhancing social media analytics practices’ influence on firm performance provides new knowledge that extends the boundary of research on this topic. The authors provided a theoretical explanation to clarify the way the implementation of social media analytics practices should be integrated with EO to increase the level of performance that firms achieve from such practices.

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Section: Discussionmentioning

confidence: 99%

Section: Practical Implications For Businessesmentioning

confidence: 99%

Effect of social media analytics on firm performance: the moderating role of entrepreneurial orientation

Onngam,

Charoensukmongkol

2024

JABS

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“…Moreover, an ungrateful person will always have negative thinking and blame others for everything. Communication challenges persist in times of crisis due to a lack of readiness and focus (Rusho et al, 2021). It goes with ungrateful santri, who always refused when given a task, was a rebel, blamed others, and felt unlucky with their life since everything good was never a positive thing.…”

Section: Discussionmentioning

confidence: 99%

A Student Counseling Study: The Internalized of Islamic Value in Daily Life

Naqiyah

Putri

Mutammima³

2022

BISMA

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The daily habits of students that have been formed so far in Islamic boarding schools that take place continuously produce positive habits that can be internalized in everyday life. In connection with this, the purpose of this study is to identify Islamic values that can be internalized in daily life, especially to deal with the Covid-19 Pandemic. Santri is a term for students who are in Islamic-based dormitories or commonly referred to as Islamic boarding schools which are cared for by Kyai and Bu Nyai. The population in this study are Islamic boarding schools located in East Java, especially the areas of Madura, Jombang and Probolinggo. This research uses constructivism paradigm with a qualitative approach. The method used is a case study that requires empirical data in Islamic boarding schools. The results of the data through in-depth interview techniques and documentation studies will be analyzed to further develop a narrative about the values that exist in Islamic boarding schools, how to handle them by teachers and reveal the needs of students which can be used as a basis for the development of guidance and counseling in Islamic boarding schools.

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“…Since the emergence of social media, the popularity of incorporating social media data and platforms into disaster research and practices has grown. In previous studies, social media data have been extensively used in both man-made and natural disaster events, e.g., wildfires (Sachdeva & McCaffrey, 2018), earthquakes (Earle et al, 2010), mass shootings (Rusho et al, 2021;Sutton et al, 2008), hurricanes (Mihunov et al, 2020;Zou et al, 2018), etc. This section summarizes various investigations using social media for disaster management and their geolocating strategies, as shown in Table 1.…”

Section: Geolocating Strategies Used In Social Media Data Analysismentioning

confidence: 99%

Algorithmic uncertainties in geolocating social media data for disaster management

Mandal,

Zou,

Abedin

et al. 2023

Cartography and Geographic Information Science

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The emergence and rapid development of information and communications technology (ICT) have turned individuals into sensors, fostering the growth of human-generated geospatial big data.These geospatial big data, sometimes referred to as social sensing data, have been coupled with traditional spatial data and applied in various domains to understand society and the environment at multiple spatial and temporal scales. In disaster management, social sensing data, mainly social media data, have opened new avenues for observing human responses and behaviors under disasters in near real-time. Previous research relies on geographical information in geotags, content, and user profiles to locate social media messages. However, less than 1% of users share their locations through geotagging, leaving geolocating users through addresses in user profiles or the message content increasingly crucial in future location-based social media analysis and applications. This paper attempts to evaluate and visualize the margin of error incurred when using user profile locations or message-mentioned addresses to geolocate social media data for disaster research. Using Twitter data during the 2017 Hurricane Harvey as a case study, this research assessed the inconsistencies in predicting users' locations in various administrative units during each disaster phase using three geolocating strategies. The study provides insights into the relationship of spatial scales and conflated geolocating strategies, with the 'user from' method achieving the highest agreement at the country level (94.07%) compared to the 'tweet about' method. Interestingly, the findings indicate that geolocation accuracy remains relatively stable across the three disaster recovery phases. Moreover, during the preparedness phase, the agreement percentages between the 'tweet from' and 'user from' locations reach their peak, ranging from 95.1% at the country level to 40.3% at the county level. The paper rigorously quantifies the uncertainties associated with conflating geolocating methods for Twitter data for disaster management applications, underscoring the importance of accepting an appropriate level of uncertainty or using the three geolocating methods separately in future social media-based investigations. Furthermore, the study quantifies the trade-off between spatial scale and geolocation accuracy, revealing a decline in agreement between two geolocating methods as the geographical scale transitions from state to county, block group, 1-kilometer, and 30-meter levels.The potential impacts of uncertainties in geolocating Twitter data for disaster management applications were further unraveled. The findings offer valuable insights into selecting appropriate scales when applying different geolocating strategies in future social media-based investigations.

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Social media response and crisis communications in active shootings during COVID-19 pandemic

Cited by 5 publications

References 11 publications

Effect of social media analytics on firm performance: the moderating role of entrepreneurial orientation

Effect of social media analytics on firm performance: the moderating role of entrepreneurial orientation

A Student Counseling Study: The Internalized of Islamic Value in Daily Life

Algorithmic uncertainties in geolocating social media data for disaster management

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