Optimising self-organised volunteer efforts in response to the COVID-19 pandemic

Zhang, Anping; Zhang, Ke; Li, Wanda; Wang, Yue; Li, Yang; Zhang, Lin

doi:10.1057/s41599-022-01127-2

Cited by 14 publications

(10 citation statements)

References 12 publications

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“…Whilst our research offers a unique case of local response in a specific country, given the fact that SOSGs similar to SONJO have also emerged in different countries with a universal aim to enact community resilience, we believe that similar SOSG actions could also be executed in other contexts with idiosyncrasies in culture (e.g. Gopinath, 2020; Ohta and Yata, 2021; Zhang et al. , 2022; Carlsen et al.…”

Section: Discussionmentioning

confidence: 99%

“…In Shenzhen, China, volunteers self-organised through a mobile crowdsource volunteer platform called “Pioneers” in response to the COVID-19 pandemic when it first appeared in the beginning of 2020. They helped with checking the body temperature, delivering packages for isolated families, and posting volunteer-related information on the platform (Zhang et al. , 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

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Rebuilding disrupted supply chains: How can a self-organised social group facilitate supply chain resilience?

Lusiantoro

Pradiptyo

2022

IJOPM

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PurposeThis paper seeks to explore how a self-organised social group (SOSG) can facilitate supply chain resilience (SCRES) during an emergency condition.Design/methodology/approachA netnographic research was conducted on SONJO, an online SOSG emerging in response to problems in personal protective equipment (PPE) and food small businesses' supply chains (SCs) during the state of COVID-19 emergency in Yogyakarta, Indonesia. Qualitative data of 237,010 words were extracted from the group chats among 223 SONJO WhatsApp Group (WAG) members and were analysed using template analysis.FindingsThis paper reveals five communicative acts through which the SOSG facilitates SCRES, namely supply chain (SC) knowledge sharing, networking, bridging, mapping, and mindfulness. The enactment of these communicative acts could foster SC collaboration and help rebuild and sustain the SC operations during the critical period of the pandemic. The SOSG also facilitates the SC actors to be heedful of their responsive actions and risky operations.Practical implicationsThis paper emphasises the need for organisations to build and maintain relationships with social communities and to extend their social capital beyond their existing SC linkages as an alternative way to survive unexpected disruptions.Originality/valueThis paper offers a novel perspective to understand SCRES from an external force. It proposes that, in the face of a devastating disruption, SCRES is not a self-induced process and that the SOSG could play a pivotal role in rebuilding the disrupted SCs. It also shows how a humanitarian effort could help rebuild commercial SCs.

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Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Rebuilding disrupted supply chains: How can a self-organised social group facilitate supply chain resilience?

Lusiantoro

Pradiptyo

2022

IJOPM

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“…The role of health volunteers has become hampered, due to the Covid-19 pandemic so 10 health volunteer roles are not fulfilled (Zhang et al, 2022). The role of the health volunteer greatly influences the success of Posbindu PTM, including the role of implementing health volunteer, among others, is to prepare a work plan for the smooth running of the PTM Posbindu, providing information to targets of various ages, conducting interviews with participants, carrying out periodic counseling according to schedule, carrying out counseling, and conducting consultations with officers (Hastuti et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Exploration of the Need for Posbindu PTM Health Volunteers During the Covid-19 Pandemic

Binoriang,

Rohmah,

Setyaningrum

et al. 2024

JLH

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The covid-19 pandemic has had a tremendous impact on every human being. All activities that cause crowds are not allowed to stop the spread of the covid-19 virus, including routine PTM Posbindu activities. The role of healthy volunteers is hampered and has an impact on its implementation. In carrying out their duties during a pandemic, health volunteers require special needs to ensure the success of PTM Posbindu activities. Explore the needs of PTM Posbindu health volunteers during the covid-19 pandemic. This research was qualitative research with a descriptive method, conducted by FGD and interviews and carried out on 7 informants, in the working area of the Jetis Health Center Yogyakarta. Interviews were conducted with 1 informant from the Jetis Public Health Center Yogyakarta. In analyzing the data, this research uses open code 4.03 software. This shows that PTM Posbindu health volunteer needs in the form of the need for inspection tools, funding needs, skill training needs for health volunteers, and the need for health care tools to support. The pandemic condition has an impact on the termination of the implementation of PTM Posbindu activities.

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“…In particular, the emergence of online crowdsourcing platforms has transformed the landscape of volunteering activities, enabling individuals to contribute to collective goals in a more organized and effective manner. A notable example of this transformative power was observed during the COVID-19 pandemic, where volunteer self-organization played a crucial role in the collective response [1].…”

Section: Introductionmentioning

confidence: 99%

Htgtm: Hybrid Temporal-Graph Tabular Model For Complex Multimodal Tabular Data Processing

Liu,

Orr,

Grau-Bove

2023

2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)

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Understanding the behaviour of volunteers is an important research area in social science and management. This paper tackles the Volunteer Retention Prediction task of the IEEE MLSP 2023 Data Challenge, utilizing a dataset from the COVID-19 pandemic volunteer coordination in Shenzhen, China in 2020 -2021, with the objective of forecasting volunteer retention in the next ten months. Our paper proposes Hybrid Temporal-Graph Tabular Model (HTGTM), a deep learning-based hybrid model designed to extract and analyze temporal and graph information within complex tabular data. In this data challenge, we compared our model, ensembled with XGBoost, against traditional machine learning methods and deep learning models that are specifically tailored for tabular data. Our method exhibited robust performance, validated by its 1st-ranking Root-Mean-Square-Error (RMSE) score of 76.36 in MLSP 2023 Data Challenge Kaggle private Leaderboard. This research sheds light on pertinent volunteer retention prediction tasks and highlights the incorporation of deep learning techniques in complex, multimodal tabular data processing tasks.

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Optimising self-organised volunteer efforts in response to the COVID-19 pandemic

Cited by 14 publications

References 12 publications

Rebuilding disrupted supply chains: How can a self-organised social group facilitate supply chain resilience?

Rebuilding disrupted supply chains: How can a self-organised social group facilitate supply chain resilience?

Exploration of the Need for Posbindu PTM Health Volunteers During the Covid-19 Pandemic

Htgtm: Hybrid Temporal-Graph Tabular Model For Complex Multimodal Tabular Data Processing

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