Community Management Research Articles

How can communities better prepare for future disasters? Learning from the tourism community resilience model from Bali, Indonesia

PurposeThe impact of COVID-19 on tourism destinations has been severe, but a future crisis is never far away. How communities can better prepare for disasters to come in the near future continues to be researched. This research aims to understand the tourism community’s responses to the COVID-19 pandemic and present the Tourism Community Resilience Model as a useful instrument to help communities better respond to disasters in the future.Design/methodology/approachThis research uses a qualitative research approach which seeks to understand phenomena, events, social activities, attitudes, beliefs, perceptions and individual and group opinions that are dynamic in character in accordance with the situation in the field. Research primary data is in the form of Kuta Traditional Village local community responses in enduring the COVID-19 pandemic conducted between January and May 2022. These data were obtained through in-depth observations and interviews involving informants based on purposive sampling, including traditional community leaders, village officials, tourism actors (i.e. street vendors, tourist local guides, taxi drivers and art workers) and tourism community members. We selected the informants who are not only directly impacted by the pandemic, but also some of them have to survive during the pandemic because they do not have other job options. The results of previous research and government data concerning the pandemic and community resilience were needed as secondary data, which were obtained through a study of the literature. The data which had been obtained were further analysed based on the Interpretative Phenomenological Analysis (IPA) technique, which seeks to make meaning of something from the participants’ perspective and the researchers’ perspective as a result there occurs a cognition of a central position.FindingsBased on findings from Bali, Indonesia, this resilience model for the tourism community was created in response to the difficulties and fortitude shown by the community during the COVID-19 pandemic. It comprises four key elements, namely the Local Wisdom Foundation, Resource Management, Government Contributions and External Community Support. These elements are all rooted in the concepts of niskala (spirituality) and sekala (real response); it is these elements that give the tourism community in the Kuta Traditional Village a unique approach, which can inspire other tourism destinations in other countries around the world.Research limitations/implicationsA tourism community resilience model based on local community responses has implications for the process of enriching academic research and community management practices in facing future crisis, particularly by involving local wisdom foundation.Practical implicationsA tourism community resilience model based on local community responses has implications for the process of enriching academic research and community management practices in facing future crisis, particularly by involving local wisdom foundation.Social implicationsThe existence of the resilience model strengthens local community social cohesion, which has been made stronger by the bonds of culture and shared faith in facing disaster. This social cohesion then stimulates the strength of sustainable and long-term community collaboration in the post-pandemic period. For tourism businesses, having strong connections with the local communities is an important condition to thrive.Originality/valueThe value of this research is the Tourism Resilience Community Model, which is a helpful tool to optimise and improve future strategies for dealing with disasters. Illustrated by this Balinese example, this paper emphasises the importance of adding social factors such as niskala and sekala to existing community resilience models. Addressing these local characteristics is the innovative aspect of this paper and will help inspire communities around the world to prepare for future disasters better and build more sustainable and resilient tourism destinations elsewhere.

Study on the Enrichment of Pavement Marking Width and Retroreflectivity on Elderly Drivers’ Safety

Drivers’ visual function and cognitive ability deteriorate with age, and road marking improvements can better meet the driving safety and comfort needs of elderly drivers. To provide an optimal solution for marking setup and management for a large elderly community, the specific enrichment of marking width and retroreflective luminance coefficient on the driving safety of elderly drivers is investigated through an outdoor real-vehicle experiment. Twelve elderly drivers were randomly selected as experimental participants to visually detect the markings under the illumination of the vehicle high beam, and the visible distance data of white 10, 15, and 20 cm wide markings with retroreflective luminance coefficients ranging from 33 to 420 mcd.m−2.lx−1 were collected. The results showed that the visual detection ability of elderly drivers to pavement markings was significantly affected by the width and the retroreflective luminance coefficient of the markings and the enrichment of width on the detection ability of elderly drivers gradually increased with the increase of the width of markings, but the enrichment of the retroreflective luminance coefficient on the detection ability of elderly drivers gradually decreased with the increase of the retroreflective luminance coefficient of markings. The logarithmic function models of the retroreflective luminance coefficient of markings and the detection distance of elderly drivers with different marking widths were obtained by fitting. The results can provide a technical reference for proposing alternative countermeasures for the design, maintenance, and updating of pavement markings based on meeting elderly drivers’ safety with respect to economic cost and low carbon.

Degree of awareness and practices on urinary tract infections: A study of Sri Lankan school teachers selected from a chronic kidney disease high-prevalent setting.

As key stakeholders in educational settings, teachers' awareness on Urinary Tract Infections (UTI) will ultimately enhance its management in schools and community. This study aimed to assess the level of knowledge, attitudes, and practices (KAP) on UTIs among teachers in Sri Lanka. Conveniently selected 373 school teachers were assessed using a pre-tested questionnaire. Each of the individual was scored and categorized as either satisfactory or poor. Descriptive statistics and chi-square tests were performed to describe the outcomes. Around 80% of respondents demonstrated awareness regarding the microbial origin of UTIs, while 42% possessed knowledge of women's increased susceptibility to UTIs. Over 90% of participants had favorable attitudes toward drinking adequate amounts of water, personal hygiene, and consulting doctors for UTI symptoms. Each inquiry demonstrated significant disparities between individuals with satisfactory and poor attitudes (p = 0.000), with over 95% adhered to effective hygiene practices as a preventive measure against UTIs. The demographics of the participants did not show any significance over the KAP results of the study (p < 0.05). The study revealed satisfactory levels of awareness and favorable attitudes among respondents on UTIs. However, there is a further need for increased awareness, specifically regarding the risk factors associated with UTIs.

Effectiveness of community participation in Mangrove restoration: the evidence from northern Sri Lanka

As a result of the past failures in centralized management, community-based management approach was evolved as a better alternative in Mangrove management. However, effectiveness of community-based Mangrove management is remained as an important policy question with limited empirical evidence. This study aims to empirically investigate the effectiveness of community participation on Mangrove restoration using the village-level data collected from lagoon-based fishing villages in northern Sri Lanka during 2009–2020. In addition to the field data, this study adopts satellite imagery data of Landsat-7 and Landsat-8 to estimate the extent of Mangrove cover as an indicator of Mangrove restoration performance. The results show that community participation has a significant and positive impact on Mangrove restoration, suggesting the importance of strengthening community management practices for future Mangrove management.

Data-driven prediction of colonization outcomes for complex microbial communities

Microbial interactions can lead to different colonization outcomes of exogenous species, be they pathogenic or beneficial in nature. Predicting the colonization of exogenous species in complex communities remains a fundamental challenge in microbial ecology, mainly due to our limited knowledge of the diverse mechanisms governing microbial dynamics. Here, we propose a data-driven approach independent of any dynamics model to predict colonization outcomes of exogenous species from the baseline compositions of microbial communities. We systematically validate this approach using synthetic data, finding that machine learning models can predict not only the binary colonization outcome but also the post-invasion steady-state abundance of the invading species. Then we conduct colonization experiments for commensal gut bacteria species Enterococcus faecium and Akkermansia muciniphila in hundreds of human stool-derived in vitro microbial communities, confirming that the data-driven approaches can predict the colonization outcomes in experiments. Furthermore, we find that while most resident species are predicted to have a weak negative impact on the colonization of exogenous species, strongly interacting species could significantly alter the colonization outcomes, e.g., Enterococcus faecalis inhibits the invasion of E. faecium invasion. The presented results suggest that the data-driven approaches are powerful tools to inform the ecology and management of microbial communities.

Arts and Crafts Management Model of Baan Huai Ta Community, Utttaradit Province

Purpose: The objectives of the present research on the arts and crafts management model of Baan Huai Ta community, Uttaradit province were to analyze the community arts and crafts management model; develop the community arts and crafts management model; and evaluate the community arts and crafts management model of Baan Huai Ta, Uttaradit Province. Theoretical Framework: This study employs the concept of local wisdom and product development and design. Design/Methodology/Approach: The procedures involved building a network, acquiring knowledge, developing a community arts and crafts management model, developing community arts and crafts, evaluating the community arts and crafts management model. A qualitative research was employed consisting of observation, in-depth interviews, focus group discussion, and participatory action. Findings: The analysis of community arts and crafts management model suggested the area-based potential of Baan Huai Ta with arts and crafts abilities including weaving, wickerwork, and wood carving. Her Majesty Queen Sirikit had graciously supported people in the community to receive career development trainings in arts and crafts intended to offer extra jobs for generating more income. Their products were delivered for distribution to the Bureau of the Royal Household and the Arts and Crafts Promotion Foundation. Research Practical and Social Implication: Evaluation results of community arts and crafts works were as follow: increased value at a highest level; design concept at a highest level; selection of raw materials at a highest level; production process at a highest level; quality and beauty at a highest level; increased value added at a very high level; creating identity at a very high level; and generating value added at a very high level. The arts and crafts management model of Baan Huai Ta community, Uttaradit province comprised 4 components namely: analysis of community context; analysis of community management//network building; development of arts and crafts; and evaluation of arts and crafts management model. Originality/Value: The development of community arts and crafts management models focused on the designs with applied local wisdom to provide community products. The design concept is based on the link of science and knowledge in coordination with applied local materials to develop community products with an aim to bring about value added, self-reliance, as well as group forming. This had led to the development of products consisting of 12 pieces of fabric art and craft products, 2 pieces of carving art and craft products, and 8 pieces of wickerwork arts and crafts products, totaling 22 products.

Insightsphere: Social Analytics Command Center

The Social Media Command Center is a complex program designed to monitor and analyze user activity on various social media platforms. The innovative tool includes sentiment analysis to measure user sentiment and sentiment. One of its main features is the ability to disable unwanted features, allowing you to access content and communications. The system uses sentiment analysis to identify and correct harmful or counterproductive user behavior to create a better and more manageable online environment. This allows the system to distinguish between positive, negative, and neutral emotions. The plug-in feature is a special feature of the Command Center that allows administrators to disable or block user actions based on arbitrary diagnostic results. For example, if the analysis finds that there is no offensive or harmful content, the system can automatically take steps to reduce the impact by removing or reducing the scope of that content. Command Center also offers dashboards and reports that provide deep insights into social media trends, user behavior, and sentiment patterns. This helps organizations make decisions, improve community management, and maintain a better online environment.

The economic impact of agroforestry practice in production forest areas, Сentral Java province, Indonesia

The concept of Joint Community Forest Management in Indonesia is an effort to involve communities in forest management through agroforestry to support forest sustainability. Agroforestry (or persilan in local language) carried out by pesanggem in the KPH Kebonharjo and KPH Mantingan Working Areas significantly contributes to the pesanggem household income. This research wants to measure the provision of agroforestry on pesanggem household income and examine agroforestry factors that influence pesanggem household income. Data collection techniques through surveys and observations of 216 pesanggem households were carried out in the KPH Kebonharjo and KPH Mantingan areas, divided into eight villages respectively. The data was then analyzed descriptively and by multiple linear regression analysis. The research results found that the agroforestry pattern through land plots refers to agricultural activities by pesanggem in forest areas by utilizing forest land belonging to Perum Perhutani as agricultural/persilan for planting seasonal crops. Persilan contributions provide a moderate contribution to pesanggem households in KPH Kebonharjo and KPH Mantingan with a total contribution percentage of 38% or IDR 11,000,000 per household per year with details for each KPH Kebonharjo 44% (IDR 10,900,000 per household per year) and KPH Mantingan 33% (Rp. 11,200,000 per household per year). Based on the results of linear regression analysis, some variables significantly influence measurements with degrees of confidence of 85%, 95%, and 99%. The variables agricultural equipment (sig. 0.133), distance to agroforestry land (sig. -0.051), labor utilization (sig. 0.038), and land area of land persil (sig. 0.001) show an influence on the agroforestry income of pesanggem households in KPH Kebonharjo. In addition, the variables farming income (sig. -0.143), other income (sig. 0.048), area of land plots (sig. 0.037), and distance to agroforestry land (sig. 0.001) show an influence on the agroforestry income of pesanggem households, at KPH Mantingan. This research provides valuable insights into the complex relationships between agroforestry, production forests, and economic dynamics, providing a foundation for sound policy-making and encouraging environmentally conscious economic growth

Effects of grazing and climate change on aboveground standing biomass and sheep live weight changes in the desert steppe in Inner Mongolia, China

CONTEXTThe Stipa breviflora desert steppe ecosystem is fragile and sensitive to climate change and grazing disturbance. Previous studies have reported the effects of climate change and grazing on aboveground standing biomass of the plant community and sheep live weight, however, the interaction between climate change and grazing remains unclear. Process models have become ideal tools for the evaluation of the effects of grazing management practices under climate change. OBJECTIVEWe used the Soil-Plant-Atmosphere Continuum System (SPACSYS) model to investigate aboveground standing biomass and the live weight of sheep in the desert steppe of Inner Mongolia under future climate change scenarios and different grazing management. The results will be used to inform adaptive management strategies. METHODSThe grazing experiment consisted of four treatments: no grazing (0 sheep ha−1 half year−1), light stocking rate (0.91 sheep ha−1 half year−1), moderate stocking rate (1.82 sheep ha−1 half year−1), and high stocking rate (2.71 sheep ha−1 half year−1). We used observed data on soil temperature, soil volumetric water content, changes to sheep live weight, and aboveground standing biomass of plant community to provide parameterization and validation for the SPACSYS model. We then predicted aboveground standing biomass of the plant community and sheep live weight changes for different grazing management under three representative concentration pathways (RCP) scenarios (RCP 2.6, RCP 4.5, and RCP 8.5) from 2021 to 2100. RESULTS AND CONCLUSIONSModerate and high stocking rates decreased aboveground standing biomass and sheep live weight changes more than the light stocking rate. A light stocking rate can maintain higher aboveground standing biomass and sheep live weight as well as meet production requirements. Therefore, a light stocking rate is a potentially effective management approach to improve food production security and combat global climate change in the desert steppe. SIGNIFICANCEThe model can inform management strategies for grazing in the desert steppe under climate change, supporting efforts to maintain the stability of the steppe ecosystem and increase economic benefits, while also providing a theoretical basis for adaptive management in the desert steppe.

Two decades of dune slack restoration in North Wales: diversity, community and habitat specialists

Humid dunes slacks are a highly threatened habitat, listed as vulnerable in the EU habitat red list. Accelerated successional processes in dune systems have resulted in the loss and degradation of ideal conditions for specialist dune slack species, hence the need for conservation management. We investigated the restoration of a dune slack in North Wales, UK, where vegetation and soil removal to 10 cm depth was undertaken to reinstate nutrient‐poor, open and damp conditions. We assessed the outcomes of the management for dune slack communities over the 18 years since restoration. We also assessed the differences between restored and unrestored areas of dune slacks. The dunes were restored in the winter of 2004/2005, after which we conducted vegetation surveys in fixed quadrats for most years in the restored and adjacent, un‐restored dune slacks. Species diversity and plant community composition changes over time were assessed using Shannon's index, multivariate analysis and indicator species analysis. Comparisons between the restored and unrestored areas of the dune slacks were also made. Ellenberg indicator values (EIVs) were examined to identify potential environmental drivers of post management successional changes. After 18 years the restored dune slacks developed a species‐rich and diverse community. compared to the unrestored slacks. The establishment of species occurred rapidly in the first three years, followed by continued but slower increases in species richness and diversity. This is due to the addition of new species without losses of established species. EIVs show no significant difference over time suggesting the restored areas are still at an early stage of succession. Distinct stages of community change since restoration are characterised by different indicator species. Plants are likely to be largely recruited from an existing seed bank. Restoration by turf removal may be suitable for other low nutrient, species rich habitats dependent upon fluctuating groundwater levels.

The Existence of Mandiri Lestari Waste Bank Management in Supporting Sustainable Development of Mapanget District, Manado City

Waste that is not managed properly will have an impact on the environment and also on public health. Waste Management is a systematic, comprehensive, and sustainable activity that includes reducing and handling waste. The aims of this research are: 1) to find out, describe, and analyze Waste Management at the Mandiri Lestari Waste Bank; 2) to find out and describe waste bank management in supporting sustainable development in Mapanget District, Manado City. This research uses qualitative methods with data collection techniques in the form of observation, interviews, and documentation. The research results show that 1) Mandiri Lestari Waste Bank management is not optimal, this can be seen from inadequate management, facilities, and governance that are not in accordance with existing regulations; 2) The management of the Mandiri Lestari Waste Bank is not yet supported by all groups, including the community, government and waste bank managers. Good waste bank management will improve the economy and development for the communities involved and can improve the quality of life with a clean environment.

Bridging the cyber protection gap: An investigation into the efficacy of the German cyber insurance market

AbstractCybersecurity requires an effective risk transfer regime and a well‐functioning insurance market to improve stakeholder resilience. However, rapid cyber threat adaptation, limited data availability, and inadequate risk understanding pose significant challenges for the insurance industry and its customers. This research uses a mixed methods approach to analyze the inclusions, exclusions, and suitability of current cyber policies in the German cyber insurance market. The study analyzes 41 cyber insurance policies, representing about 80% of the German cyber insurance market. This examination is supported by semistructured interviews with 23 cyber insurance experts. The authors find that there are no standardized cyber policy wordings, and insurers use different terms and definitions in their insurance policies. Specifically, the results show a significant lack of clarity around coverages and exclusions. This research contributes to the cybersecurity risk management community and will enable businesses, insurance companies, and policymakers to better understand, measure, and manage cyber risk.

Reinforcement Learning for Energy Community Management: A European-Scale Study

Reinforcement Learning for Energy Community Management: A European-Scale Study

INCLUSION OF THE POPULATION IN SOLVING THE PROBLEMS OF THE LOCAL COMMUNITY THROUGH POLITICAL PARTIES

Overcoming apathy, absenteeism and inattention of the population to problems of local importance is one of the most urgent tasks of the modern system of municipal government. The exclusion of the population from the process of implementing municipal power violates the constitutional essence of local self-government, on the basis of which citizens must independently resolve issues of local importance. The low level of citizens’ involvement can be overcome by political parties, which currently need to be incorporated into the changing system in a timely manner, turning into a modern mechanism for popularizing direct participation of citizens in the management of the local community.

Emotions on Twitter as crisis imprint in high-trust societies: Do ambient affiliations affect emotional expression during the pandemic?

During the Covid-19 crisis, citizens turned to Twitter for information seeking, emotional outlet and sense-making of the crisis, creating ad hoc social communities using crisis-specific hashtags. The theory of ambient affiliation posits that the use of hashtags upscales the call to affiliate with the values expressed in the tweet. Given the deep functional tie between values and emotions, hashtag use might further amplify certain emotions. While emotions in crises-hashtagged communities have been previously investigated, the hypothesis of amplification of emotions through hashtag use has not yet been tested. We investigate such effect during the Covid-19 crisis in a scenario of high-trust Nordic societies, focusing on non-hashtagged, crisis hashtagged (e.g., '#Covid-19') and threat hashtagged (e.g., '#misinformation') tweets. To do so we apply XLM-RoBERTa to estimate Anger, Fear, Sadness, Disgust, Joy and Optimism. Our results revealed that crisis-hashtagged (#Covid-19) tweets expressed more negative emotions (Anger, Fear, Disgust and Sadness) and less positive emotions (Optimism and Joy) than non-hashtagged Covid-19 tweets for all countries except Finland. Threat tweets (#misinformation) expressed even more negative emotions (Anger, Fear, Disgust) and less positive emotions (Optimism and Joy) than #Covid-19 tweets, with a particularly large effect for Anger. Our findings provide useful context for previous research on collective emotions during crises, as most Twitter content is not hashtagged, and given the faster spread of emotionally charged content, further support the special focus on specific ad hoc communities for crisis and threat management and monitoring.

RESEARCH ON PUBLIC SERVICE GOVERNANCE IN URBAN FUTURE COMMUNITIES

With the increasing importance of communities in social management and social life, community governance has gradually become a focus in theoretical and practical fields. This paper reviews relevant studies on community governance in recent years to sort out the connotations of community and community public service and takes Hangzhou Qicai community, one of the first pilot "Future Communities," as a research sample to explore the governance model of community public service and selection criteria of community governance model from nine living scenarios, with a view to providing new ideas for modern grassroots governance, community construction, and operations under the framework of multiple subjects.

Design and Modelling of Urban Stormwater Management and Treatment Infrastructure for Communities in Wuse, Abuja

Effective stormwater management can be used to regulate water quantity and quality for environmental sustainability, flood control, pollution reduction and other advantages of civil engineering infrastructures. Pollution of the environment and contamination of water sources can emanate from improper stormwater management. This study used a small-scale model of rainwater harvesting to analyze the design and model of urban stormwater management and treatment infrastructure for the neighborhoods in Abuja. The water quality of the treated stormwater retrieved has improved as a result of the usage of memory foam, alum, and chlorine to filter out contaminants and pathogens. With the fictitious stormwater treatment model created for this study, average values of the physicochemical parameters were collected from the stormwater discharge after it had been filtered and treated. The use of potash alum has had a variety of effects on the water’s quality. From 697 mg.L-1 to 635 mg.L-1, the total dissolved solids dropped. The DO dropped from 5.87 mg.L-1 to 3.92 mg.L-1 as well. Additionally, the turbidity rose from 4.42 FNU to 4.58 FNU, and the salinity rose from 0.7 PSU to 1.44 PSU, respectively. pH decreases from 19.78 to 15.17 mg.L-1, BOD decreases from 8.35 to 6.51, and COD decreases from 2.55 to 1.9. Calcium hardness has decreased from 287 mg.L-1 to 265.83 mg.L-1. The conductivity increases marginally from 3.24 ms.cm-1 to 3.82 ms.cm-1. The Fe2+ and Zn2+ ions exhibit a little decrease from 0.143 mg.L-1 to 0.055 mg.L-1 and from 0.092 mg.L-1 to 0.045 mg.L-1, respectively. Due to inadequate or nonexistent drainage systems in the many states and villages throughout the country, stormwater run-off management and treatment in Nigeria have been a colossal failure. Effective stormwater management can be sustained by using legal and environmental laws.

Improving the role of communities in participatory forest management through artificial intelligence: the case of Nairobi city park community forest association

The integration of artificial intelligence (AI) into participatory forest management (PFM) is emerging as a promising strategy for promoting sustainable forest management in developing countries. Using a case study approach from Kenya involving 85 respondents from the Nairobi City Park Community Forest Association, this study explored the potential for AI implementation in PFM to improve community roles in data acquisition and management. The study results show that the current data management system for executing community roles in PFM is inefficient, time-consuming, and susceptible to errors. However, there are substantial gains and opportunities in implementing community roles through AI. AI utilization could be fostered through the existing Information Communication Technology (ICT) resources such as smartphones for efficient and transparent data processes. Notably, 90% of respondents express confidence in AI’s potential to enhance PFM efficiency. Despite this optimism, 67.1% emphasize the necessity of a comprehensive AI policy that emphasizes continuous community engagement and adaptation of AI to local contexts.

Frontiers in Operations: The Confidence Trap in Operations Management Practices: Anatomy of Man-Made Disasters

Problem definition: Reducing the likelihood of man-made disasters that cause harm to life, property, and the environment is a key societal goal. To that end, regulatory agencies are responsible for ensuring man-made disasters do not occur. In practice, to accomplish this task, regulators have to rely on and cooperate with operators. However, how much cooperation is optimal? In this study, we explore the prudent level of cooperation between operators and regulators to avoid man-made disasters and the role whistleblowers and other policy levers can play in maintaining it within a Goldilocks range. Methodology/results: We synthesize various theories and accounts of man-made disasters to construct a system dynamics model of the mechanisms that lead up to these unwanted outcomes. We employ simulations to uncover how changes in crucial parameters related to cooperation lead to different outcomes and influence the likelihood of the occurrence of man-made disasters. Managerial implications: We resist explanations for man-made disasters rooted in regulatory capture and offer instead a nuanced account rooted in excess cooperation between operators and regulators emerging as a result of everyday operational imperatives and constraints. Our findings indicate that absence of disasters leads operators and regulators to fall into a “confidence trap” that perpetuates limited regulatory oversight and excess cooperation and eventually leads to a disaster. To mitigate this tendency, we investigate, in particular, the role that timely whistleblowing and other policy levers can play in mitigating man-made disasters. We provide managerial and policy implications such as incentivizing and safeguarding whistleblowers, limits on the revolving door between operators and regulators, and more stringent operating and safety scientific standards. Overall, we offer a new frame and potentially fruitful frontier for the operations management community to explore. History: This paper has been accepted in the Manufacturing &amp; Service Operations Management Frontiers in Operations Initiative. Supplemental Material: The online supplement is available at https://doi.org/10.1287/msom.2023.0034 .

Mangrove community-based management in Eastern Africa: experiences from rural Mozambique

IntroductionThis study investigated a community-based management model in a mangrove-dependent community in central Mozambique and its adequacy as a management tool for conservation.MethodsSatellite images were used to map changes in mangrove cover between 1996 and 2017. Individual interviews and Focus Group Discussions were conducted with community members to understand the mangrove restoration processes and management models.Results and discussionAfter unsustainable exploitation that led to mangrove deforestation, the local community engaged in a restoration and management program that started in the late 1990s. Local norms were delineated by the Natural Resources Management Committee (NRMC) aiming at (1) reducing extractive uses by introducing alternative income generating activities; (2) awareness and mangrove planting and (3) law enforcement. Ten hectares of forest were rehabilitated. However, the management system fails to exclude illegal cutters and to enforce regulatory and sanctioning mechanisms, due to resource limitations. More involvement from government authorities and other stakeholders is needed to enhance law enforcement and explore opportunities for carbon trading, tourism and payment for ecosystem services. Additional recommendations are to develop a community management plan and create alternatives to mangrove products and income. Mangrove community-based management is increasingly advocated in many developing countries to promote sustainable utilization of resources and conservation. Understanding the reasons behind the limited success and lessons learnt at this site will guide similar programs elsewhere in Mozambique and other parts of the globe.