Sample Survey Research Articles

Newborn pulse oximetry screening coverage in a nationwide complex survey sample: An assessment of a congenital heart disease early detection program at the regional level in Brazil

ObjectivesTo estimate the coverage of newborn pulse oximetry screening (POS) in Brazil, as well as identifies associated factors and the proportion of positive screening results. MethodsCoverage was estimated based on the most recent National Health Survey (2019). Adjusted marginal prevalence ratios were estimated via poisson regression model with robust variance. ResultsThe POS coverage was 66.3 % (95 %CI: 65.5–67.1; N = 3,140,023) and was higher in children born in privately funded hospitals (PFHs) than in the Unified Health System (SUS): 78.1 % (76.7–79.5) versus 61.1 % (60.2–62.1). In the North region, the POS coverage in PFHs (64.9 %, 59.7–70.1) was lower than that in the South (82.5 %, 79.4–85.6) and the Southeast (81.5 %, 79.3–83.6); it was even lower in SUS in the North (44.0 %; 42.4–45.6). After a federal ordinance providing financial resources to postscreening diagnostic, the screening coverage in SUS increased from 57.6 % (56.2–59.1) to 64.6 % (63.3–65.9). The proportion of positive screening tests was 9.2 % (8.9–9.5) in SUS and 7.8 % (7.3–8.3) in PFHs, of which 40.8 % (40.5–41.1) underwent complementary exams in SUS and 57.2 % (56.7–57.7) in PFHs. In the multivariate model, the main independent predictors of POS were the coverage of other newborn screening tests. ConclusionsInequalities were found between major regions and healthcare systems. Government financial incentives have reduced this inequality, although the percentage of postscreening complementary exams remains insufficient and unequal. The main independent predictors of screening prevalence were those related to the organization of health services.

Challenges affecting public participation in environmental impact assessment in Sri Lanka

Environmental impact assessment (EIA), as a policy procedure, proved capable of promoting sustainable development by reducing or eliminating the adverse effects of development projects. Encouraging public involvement in the Environmental Impact Assessment (EIA) process is crucial for promoting sustainable development, which is arguably the main purpose of the EIA. There are a number of challenges that prevent the public from participating meaningfully in the EIA process. The primary objective of this study is to identify the challenges when they come within the domain of public participation in Environmental Impact Assessment. The paper focuses on identifying the most severe challenges experienced in Sri Lanka. The study is conducted by employing a mixed-method approach. After in-depth interviews with selected key informants and a sample survey of 240 participants representing all 9 provinces of Sri Lanka. This sample is selected using a purposive sampling process. The study revealed a number of challenges, like limited access to information and language barriers, education level, cultural norms and gender roles, institutional support and transparency, lack of awareness and knowledge, and trust among community members in the community. Identified all 6 key challenges that have a significant impact and positive correlation towards public participation in Sri Lanka

A Study of the Role of Income, Consumption Patterns and Time in Shaping Food Expenditure in India

Aims: we sought to determine the key factors affecting per capita monthly expenditure on food across Indian states over time. Study Design: This is a quantitative, cross-sectional study that uses existing data from National Sample Survey (NSS), 61st, 66th and 68th rounds. Methodology: We compiled datasets on 10 independent variables believed to influence monthly per capita expenditure (MPCE) across 17 Indian states over three distinct time periods (2004-05, 2009-10, 2011-12). These variables include household size, dependency ratio, milk availability, Gross State Domestic Product (GSDP), literacy rate, a time dummy variable, poverty rate, and consumption patterns of cereals, pulses, and non-vegetarian food. Results: The analysis of 68 observations identified key factors influencing household food consumption expenditure. milk consumption showed a positive correlation with expenditure, yielding a coefficient of 1.106 (p =0.001) as did literacy rate (coefficient = 10.018, p = 0.045), expenditure on non-food items (coefficient = 0.086, p = 0.001), and expenditure share on eggs and meat (coefficient = 29.011, p = 0.001). Time dummy variables indicated rising expenditures over time, with coefficients of 517.76 (p = 0.001) for 2009-10, 703.93 (p = 0.001) for 2011-12, and 2324.29 (p = 0.001) for 2022-23. Overall, the model accounted for 90.9% of the variance in food consumption expenditure. Conclusion: Higher per capita milk availability leads to increased overall food spending, while the time factor indicates a trend of rising expenditures, likely linked to changing consumption patterns and incomes. literacy rate also positively affect food expenditure choices The analysis also shows that spending on protein-rich foods, such as eggs and meat, positively affects overall food expenditure.

FACTORS INFLUENCING CUSTOMER SATISFACTION AND REPURCHASE INTENTION OF ONLINE FOOD DELIVERY SERVICE IN CAMBODIA

Purpose – The focus of this research is to identify and analyze the key factors that influence repurchase intention of online food delivery services in Cambodia. It aims to understand how aspects such as performance expectancy, effort expectancy, social influence, facilitating condition, hedonic motivation, price value, habit, and trust, impact consumers' satisfaction to continue using these services.Methodology – A quantitative method was employed using a purposive sampling survey, involving 400 respondents in Phnom Penh with prior experience using online food delivery services. Data were collected through a Google Form and analyzed using multiple regression to test the proposed model.Results – The study revealed that performance expectancy, effort expectancy, and trust positively influence customer satisfaction (CS), with standardized regression weights of B = 0.194, B = 0.409, and B = 0.079, respectively. Among these factors, effort expectancy has the greatest impact on CS. Conversely, price value negatively affects CS, with a coefficient of B = -0.072. However, social influence, facilitating conditions, hedonic motivation, and habit do not positively impact customer satisfaction (CS) because their p-values exceeded 0.05. Lastly, customer satisfaction has a positive and significant effect on repurchase intention, with a coefficient of B = 0.635.Implications – Enhancing performance expectancy, trust, and the ease of the ordering process while addressing pricing perceptions is crucial for improving customer satisfaction and driving repurchase intentions in online food delivery services in Cambodia.Originality/Value – This study provides valuable insights for anyone seeking a comprehensive understanding of the food delivery service landscape on online platforms in Cambodia. In particular, the app developers, restaurants, and food providers can consider partnering with promising and quality-oriented online food delivery services to enhance their business prospects.

Gendered Informality: An Assessment of Operational Attributes and Entrepreneurial Performance of Female-Owned Enterprises in Jharkhand

The present study utilises the National Sample Survey Organization (NSSO)’s 73rd round unincorporated non-agricultural enterprise data to analyse diverse operational and economic attributes of female-owned enterprises and their influence on enterprise performance with regard to enterprises’ gross value added (GVA) in the state of Jharkhand. The study additionally endeavours to ascertain the correlation amidst the operational attributes and the type of enterprise owned (established or own account) in the state. From a methodological standpoint, the current inquiry incorporates exploratory and regression analysis to give a comprehensive understanding of female entrepreneurship in Jharkhand and its gender differentials. The study findings indicate that specific attributes such as enterprise registration, account maintenance, enterprise locating outside the household premises, expanding and perennial status have a positive association with the GVA of the female-owned enterprise. It further highlights that female entrepreneurs, especially from marginalised backgrounds, view entrepreneurship as a necessity rather than a choice. There exists a notable gender disparity, with majority of enterprises owned by females predominantly operating within residential premises. Moreover, female involvement in a well-established enterprise is substantially lower compared to male workers, thus indicating an inverse correlation between the nature of the enterprise and its employment framework.

High prevalence of sexually transmitted infections and poor sensitivity and specificity of screening algorithms for Chlamydia and Gonorrhoea among female sex workers in Zimbabwe: Analysis of respondent-driven sampling surveys in 3 communities

Abstract Background: Effective strategies to reduce STI burden and transmission among female sex workers (FSW) and their networks are needed. We report STI prevalence among FSW in Zimbabwe and investigate the performance of screening algorithms. Methods: Respondent-driven sampling (RDS) surveys, including blood sampling for syphilis serology, were conducted among FSW in three communities in Zimbabwe in 2017. Additionally, a random sample of one third of participants were offered genital examination and STI testing. Data on symptoms and clinical signs were analysed to determine the proportion of asymptomatic and clinically inapparent STIs by HIV status, and the sensitivity, specificity and predictive values of syndromic, clinical and hybrid screening algorithms for chlamydia and gonorrhoea. Analyses were RDS-II weighted. Results: Overall, 2507 women were included in the RDS surveys and 661/836 (79.1%) of those randomly offered genital examination and STI testing accepted. STI prevalence by site ranged from 15.7%–20.0% for syphilis (RPR + TPHA), 6.8%–14.3% for gonorrhoea, 8.4%–10.1% for chlamydia, 26.6%–35.5% for trichomonas, and 37.0%–47.6% for any high-risk human papilloma virus. A high proportion of infections were both asymptomatic and clinically undetectable (gonorrhoea: 41.2%, chlamydia: 51.7%, trichomonas: 62.8%). Screening algorithms performed poorly whether based on symptoms only (sensitivity: 53.3% gonorrhoea, 43.3% chlamydia) or either symptoms or clinical signs (sensitivity: 58.7% gonorrhoea, 48.3% chlamydia). Conclusions: STI burden is high among FSW in Zimbabwe. The low sensitivity and specificity of screening algorithms used to guide syndromic management means that more effective approaches are required to strengthen STI control. As access to HIV-specific prevention methods like PrEP increase, support for consistent condom use need to be strengthened.

Women’s Land Ownership in India: The Impact of Caste and Religion

This study empirically examines the role of caste and religion in shaping women’s land ownership in India using data from the National Sample Survey Office 77th round survey. The findings reveal significant disparities in land ownership among women across religious and caste lines. Hindu, Muslim and Christian women are consistently less likely to own land compared to those from other religious backgrounds, reflecting the influence of religious laws and customs on property rights. Similarly, women from Scheduled Tribes, Scheduled Castes and Other Backward Classes face heightened barriers to land ownership, highlighting socio-economic inequalities perpetuated by the caste system. Addressing legal ambiguities, cultural norms and socio-economic inequalities can foster a more inclusive and equitable land ownership landscape, empowering women economically and socially. Such measures contribute to broader goals of sustainable development and gender equality as outlined in the United Nations’ Sustainable Development Goals.

Seasonal Abundance and Types of Microplastics in Surface Waters of River Sabaki Estuary, Kenya

Increased demand for plastics has resulted in the generation of plastic waste, which poses a threat to the environment in general, and ultimately the marine environment. Estuaries and deltas are the main filters of marine ecosystem pollutants from inland sources. There have been limited studies on temporal variations in microplastic (MP) pollutants in tropical estuaries of Africa. In 2022, a twelve-month sampling survey study was conducted at Sabaki river estuary, in Kenya. A bucket was used to collect water samples, that were sieved through a 225μm sieve. A stereo microscope was used to identify microplastics and their polymer confirmed using FTIR spectroscopy. Data analysis on seasonal difference in abundance of microplastics in surface waters was performed using Minitab software at α ≤ 0.05. The results indicated that the April-June (A-J) long rains season had significantly (P ≤ 0.05) higher levels of MPs due to rainfall runoff, compared to other seasons, namely January –March (J-M), July-October (J-O) and November –December (N-D). The (J-M), (J-O) and (N-D) seasons had similar levels of MPs, which were lower compared to those observed during (A-J) long rains season by 44.3%, 54% and 25% respectively, compared to the highest concentration of 264 MPs m-3 observed during the A-J season. Fragments type of MPs were higher during the wet season, while fiber type of MPs dominated during the dry season. Film and form type of MPs were least abundant. Seasons significantly (P ≤ 0.05) influenced distribution of the different sizes of MPs. Small and medium sized category of MPs occurred and dominated during the dry season, while larger particles dominated during the wet season. Seven (7) differently colored MPs were observed during the study. White colored MPs were most prevalent (33%), followed by blue (23%), black (17%), brown (12%), yellow (5%), red (5%), and green (4%). Five types of plastic polymers were found in surface waters of river Sabaki estuary, namely polyethylene (PE), polypropylene (PP), polystyrene (PS), Polyethylene terephthalate (PET), and Acrylonitrile-butadiene-styrene (ABS).

Psychological Factors Impacting the Consumer Buying Behaviour with Relation to Select Consumer Durables

Objectives: The study aims to analyse the factors influencing buys, pre-purchase, purchasing and post purchasing by comparing electronic products and white goods and to analyse the consumer behaviour's behaviour and the objective of the study. Methods: The study was carried out utilising a sample survey based on these aims. Data was collected from 428 consumers in Pune City, representing 100% urban population, collected data. and discussed by using statistical analysis such as ANOVA. Findings: There is a positive connection between's every one of the mental and social variables influencing consumer behaviour indicated by the positive sign of Karl Pearson’s coefficient of correlation. Conclusions: The Chi-square test is applied to study the association of age group and level of influence of family on consumer buying behaviour. P-Value is 0.356 which is more than 0.05. hence, the alternative hypothesis is failed to be accepted. From the investigation, it is seen that there is no relationship between age gathering and level of impact of family on the purchase decision. As the younger generations tend to get more influenced by their friends and other social groups than the family members, which is also indicated by the output of the analysis conducted.

Imputation Methods for Missing Values in Estimation of Population Mean under Diagonal Systematic Sampling Scheme

In survey sampling, the use of auxiliary information to enhance estimators of population parameters under simple random sampling stratified random sampling and systematic sampling has been widely discussed. Similarly, some existing estimators were modified using regression imputation approach to obtain two imputation schemes and estimators that impute the responses non-respondents thereby eliminating difficulties in data presentation, compilation. The theoretical properties (estimators, biases and mean squared errors) of the proposed imputation scheme were derived so as to assess their robustness and efficiency. The theoretical findings were supported by simulation studies on population generated using four distributions namely; Beta, Gamma, Exponential and Uniform distributions. The averages of biases, MSEs and PREs of the estimators in comparison to the existing estimators were computed from the simulated data and the results showed that on average, the estimators of the proposed imputation scheme have minimum biases, minimum MSEs and higher PREs compared to the traditional unbiased estimators. These results imply that the estimators of the proposed schemes are more efficient and robust than the conventional unbiased estimators.

Wood-based furniture industry in Manipur, India: structure, employment intensity, technology and value chain

ABSTRACT The paper primarily examines the employment, value chain, and technological aspects of the wood-base furniture industry, a hotbed micro and small enterprise in the border state of Manipur, India. The study is based on 191 wood-based furniture units, which are selected through a census survey of clusters and a sampling survey of the non-cluster units. The study finds the dominance of home furniture in the furniture sector. The study finds high employment intensity in clusters vis-à-vis non-clusters. Furniture units have developed strong linkages with the upstream industry – the sawmill industry, and the bulk of the highly-demand species of furniture, like bonsum (Phoebe hainesiana) and champa (Michaelia champaca), are sourced from within the state itself, indicating a robust local value chain. Technology is still the Achilles heel for most units, which use semi-mechanized tools and manual-driven machinery. Cultural and social factors are driving the production and scale of furniture units rather than technology. The study emphasizes the need to revive the state's depleted hardwood forest, which is largely under community control, technological upgradation, and skilling of workers for sustainable growth and greater participation in regional and global value chains.

Relationship between different levels of internet use and depressive tendencies in Chinese college students: the chain mediating effect based on physical activity and social adaptability

ObjectiveTo investigate the relationship between internet use, physical activity, social adaptability, and depressive tendencies of college students, and to reveal the “advantages” and “disadvantages” of internet use around the “dose-effect”.MethodThe Revised Chinese Internet Addiction Scale (CIAS-R), Physical Activity Rating Scale (PARS-3), Chinese College Student Social Adjustment Scale (CCSAS), and Self-rating Depression Scale (SDS) were used to conduct a random sampling survey among 3008 college students in China.Results(1) Internet use could directly and positively predict the depressive tendencies of college students. (2) Physical activity and social adaptability have a significant chain mediating effect between internet use and depressive tendencies. (3) There was a “U-shaped” dose-effect relationship between internet use and depression tendencies, indicating that normal internet use could directly and negatively predict depressive tendencies, and through the chain mediating effect of physical activity and social adaptability negatively predict depressive tendencies. In contrast, internet use dependence and addiction could directly predict depressive tendencies, and through the chain mediating effect of physical activity and social adaptability positively predict it.ConclusionTherefore, normal or moderate internet use has potential protective benefits on the physical and mental health of college students and can promote the positive development of physical activity and social adaptability to a certain extent, and prevent or reduce depressive tendencies, otherwise, it is not conducive to the healthy development of related behaviors and psychology.

LEGACY OF SOCIAL POLICIES AND REDUCING INEQUALITY: INCOME NOT DERIVED FROM WORK BETWEEN 2003 AND 2007

The research describes the field of targeted public policies to highlight the legacy of actions implemented between 2003 and 2007, which resulted in a reduction in inequality, particularly inequality not derived from wage labor. The impact of income on inequality and the improvement of Gini coefficient indicators is one of the aspects addressed from the methodological perspective. The research, based on data from the National Household Sample Survey (PNAD), demonstrates the movements of the poorest percentiles of the population towards the equality line, as a result of the displacement of this population contingent motivated by targeted policies with conditionalities.

Improving Survey Inference Using Administrative Records Without Releasing Individual-Level Continuous Data.

Probability surveys are challenged by increasing nonresponse rates, resulting in biased statistical inference. Auxiliary information about populations can be used to reduce bias in estimation. Often continuous auxiliary variables in administrative records are first discretized before releasing to the public to avoid confidentiality breaches. This may weaken the utility of the administrative records in improving survey estimates, particularly when there is a strong relationship between continuous auxiliary information and the survey outcome. In this paper, we propose a two-step strategy, where the confidential continuous auxiliary data in the population are first utilized to estimate the response propensity score of the survey sample by statistical agencies, which is then included in a modified population data for data users. In the second step, data users who do not have access to confidential continuous auxiliary data conduct predictive survey inference by including discretized continuous variables and the propensity score as predictors using splines in a Bayesian model. We show by simulation that the proposed method performs well, yielding more efficient estimates of population means with 95% credible intervals providing better coverage than alternative approaches. We illustrate the proposed method using the Ohio Army National Guard Mental Health Initiative (OHARNG-MHI). The methods developed in this work are readily available in the R package AuxSurvey.

No Evidence for a Metallicity-dependent Enhancement of Distant Giant Companions to Close-in Small Planets in the California Legacy Survey

Understanding the relationship between close-in small (CS) planets and distant giants (DGs) is central to understanding the formation of planetary systems like our own. Most studies of this connection have found evidence for a positive correlation, though significant statistical and systematic uncertainties remain due to differences in sample size, target selection bias, and even the definitions of CS and DG planets. Recently, M. L. Bryan & E. J. Lee conducted a study of 184 stars hosting super-Earths ( Msini=1−20M⊕ or R = 1 − 4 R ⊕) to determine the effect of stellar metallicity on the prevalence of DG companions ( Msini=0.5−20MJ , a = 1−10 au). They found that such giants are twice as common in the presence of inner planets, but only in metal-rich systems: P(DG∣CS, [Fe/H] > 0) = 28.0−4.6+4.9% versus P(DG∣[Fe/H] > 0) = 14.3−1.8+2.0% . Further, they found that this correlation disappears for metal-poor stars: P(DG∣CS, [Fe/H] ≤ 0) = 4.5−1.9+2.6% versus P(DG∣[Fe/H] ≤ 0) = 5.0−1.3+1.6% . We conducted an analogous study to test whether this effect was present in the California Legacy Survey sample. Using the same planet definitions, we did not find evidence for an enhancement in metal-rich systems: P(DG∣CS, [Fe/H] > 0) = 14−8+11% versus P(DG∣[Fe/H] > 0) = 17.9−2.4+2.5% . We also found a 2σ tension between our conditional rate and a 2x enhancement. We brought our results into closer agreement with M. L. Bryan & E. J. Lee by repeating our analysis with different planet definitions. For example, considering only CS planets with 1≤Msini≤10M⊕ and DG planets with 0.5≤Msini≤20MJ gives P(DG∣CS, [Fe/H] > 0) = 48−17+17% and P(DG∣[Fe/H] > 0) = 21.8−2.7+2.9% , consistent with a 2x enhancement. However, we find that this 2x enhancement is also present when we apply the same planet definitions to the overall sample, challenging the idea that metallicity is responsible. Our sample, though only ∼1/6 the size of M. L. Bryan & E. J. Lee, was assembled and analyzed self-consistently. The discrepancy between our findings and theirs may arise from a variety of sources, underscoring the need for large exoplanet surveys to overcome both small number statistics and sample inhomogeneities.

Could Opposition to Gender-Neutral Language Become a Wedge Issue?

ABSTRACT In 2023, both Democratic and Republican elected officials supported banning official use of the gender-neutral term “Latinx.” Using a nationally representative survey sample, this study examines whether opposition to the gender-neutral term “Latinx” suggests a potential wedge issue that cuts across partisanship. We find that opposition to “Latinx” is significantly higher among Republican partisans, those who disapprove of Joe Biden as president, and those with “colder” feelings toward Democrats. Opposition to “Latinx” generally converges with factors that predict existing partisan divisions; where it diverges, it does not affect respondent evaluations of Biden or feelings about Democrats. Based on these findings, we conclude that gender-neutral language currently shows little potential as a wedge issue.

Assessing adaptive capacity to climate change of farmers in Gangetic Plains region, India

India has been identified as one of the most susceptible nations to the impacts of climate change. The present study made an attempt to examine the adaptive capacity of farmers living in the Gangetic Plains of India. This study creates an adaptive capacity index for four Gangetic Plains: the lower Gangetic plain, the middle Gangetic plain, the upper Gangetic plain, and the Trans Gangetic plain. It does this by using data from the 77th round of the national sample survey organisation (NSSO), the 2011 census, and the agricultural census of 2015–16, as well as an indicator approach. A total of 29 indicators covers six dimensions: physical resource capacity, financial resource capacity, human resource capacity, social resource capacity, livelihood diversity capacity, and information accessibility. The results show that the trans-Gangetic Plain region has the highest adaptive capacity, while the lower Gangetic Plain region has the lowest adaptive capacity to deal with climate change. Based on the cross-index analysis, the trans-Gangetic plain region had higher adaptive capacity due to higher physical resource capacity, financial resource capacity, human resource capacity, and information accessibility capacity. This paper suggests enhancing the adaptive capacity of farmers in the Gangetic Plains to facilitate the implementation of more effective adaptation measures. We can achieve this by improving the availability of accurate and timely weather information, upgrading irrigation facilities, increasing accessibility to institutional credit, establishing a robust extension service network to disseminate information on changing climate conditions and effective farm management techniques, and promoting livelihood diversification.

A decomposition study on the factors influencing China’s total fertility rate changes between 1990 and 2020

Low fertility is not conducive to healthy population development. The total fertility rate (TFR) is influenced by the education expansion (measured by the proportion of non-student women, NSP), marriage delay (measured by the proportion of married women, MP), and marital fertility rate (MFR). This study decomposes the TFR change into the changes in NSP, MP, and MFR using China’s census and 1% population sample survey data. During 1990–2020, the changes in NSP, MP, and MFR contributed − 22%, − 90%, and 12%, respectively, to the changes in TFR. The continuous decline in NSP reduced the TFR, and the intensity continued to increase over time. As the primary negative driving force, the rapid decline in MP also consistently reduced the TFR. The marital fertility rate had a downward effect on the TFR before 2000 and an upward effect after 2000. The effects of NSP, MP, and MFR on the TFR varied with the birth order, age and region (among cities, towns, and villages). In summary, China’s TFR has considerably changed in combination with changes in NSP, MP, and MFR. Without effective measures, China’s TFR may further decline into the lowest-low fertility trap.

Sustainable growth, financial flexibility and working capital management in family firms: An empirical study in Indonesia

Family firms play an important role in the economies of developing countries such as Indonesia. Proper working capital management is necessary to support the sustainable growth of family firms. This study aims to analyze the characteristics of sustainable growth and working capital management of family firms. The study analyzes family firms by comparing them with non-family firms listed in the LQ45 index of the Indonesian capital market. Using quantitative methods, logistic regression is used to test the hypotheses. The survey sample covers 280 companies from 2015 to 2022. The results of the study show that the elements of sustainable growth of family firms differ from non-family firms only in the leverage element. Family firms tend to have lower leverage than non-family firms. Family firms tend to have more conservative working capital management policies for investment and financing than non-family firms. Family firms also have longer days of accounts payable outstanding than non-family firms, while days of inventory outstanding and days of sales outstanding are not significantly different. This study suggests that family firms should implement a moderate working capital policy to strengthen sustainable growth rates. AcknowledgementsThe authors would like to thank the Head of Research and Community Service at AKI University who has supported funding for this research. Thank you also to fellow Faculty of Economics and Business lecturers, AKI University who have helped provide the facilities needed for this research.

Product lifecycle management as a sustainable approach within the Moroccan social and solidarity economy sector

Product Lifecycle Management (PLM) is a crucial strategy that presents a range of benefits at both technical and organizational levels. It involves the integration of collaborative methods that facilitate the sharing, centralization, and harmonization of product information, while also streamlining the processes of information exchange. This study serves as an initial endeavor to introduce PLM within the cottage industry by examining the integration of PLM and the resulting organizational transformations. The research follows a structured three-step methodology. Initially, a comprehensive literature review was conducted to explore the concept under investigation. Subsequently, a survey is carried out within the Moroccan social economy sector to identify prevalent challenges. The survey sample comprises 500 workshops from diverse regions and sectors. An analysis of the results using SPSS and Excel software reveals that organizational and management issues constitute the primary obstacles faced by the sector, representing 40% of the total challenges. Notably, production-related challenges emerge as the most significant, accounting for 68.89% of the total challenges in the sector. In the final step, the ceramics sector is chosen as the focal industry, and a VBA Excel-based tool is developed to address the identified issues. This tool incorporates four essential functionalities -user management, order management, complaints management, and cost management- that are currently lacking in the sector, facilitating organizational change management. The proposed functionalities are subsequently implemented by two pilot ceramics companies. The outcomes of this implementation reveal various barriers that could hinder collaborative efforts post-implementation.