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  <title>EconStor Community:</title>
  <link rel="alternate" href="https://hdl.handle.net/10419/334025" />
  <subtitle />
  <id>https://hdl.handle.net/10419/334025</id>
  <updated>2026-05-01T18:50:55Z</updated>
  <dc:date>2026-05-01T18:50:55Z</dc:date>
  <entry>
    <title>Insight into households' financial hardship and coping strategies during COVID-19 pandemic: A study on char dwellers of Bangladesh</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/334148" />
    <author>
      <name>Siddik, Md. Nur Alam</name>
    </author>
    <author>
      <name>Miah, Md. Firoze</name>
    </author>
    <author>
      <name>Hosen, Md. Emran</name>
    </author>
    <id>https://hdl.handle.net/10419/334148</id>
    <updated>2025-12-20T03:00:26Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Title: Insight into households' financial hardship and coping strategies during COVID-19 pandemic: A study on char dwellers of Bangladesh
Authors: Siddik, Md. Nur Alam; Miah, Md. Firoze; Hosen, Md. Emran
Abstract: The COVID-19 pandemic has harmed the socioeconomic well-being of millions of low-income people across the globe. The study is to examine the financial strategies adopted by Char dwellers in Bangladesh to deal with the global pandemic's shock.A quantitative survey was conducted for data collection, and respondents were chosen through a multistage sampling technique. Binary logistic model, probit model and multinomial logit models and Bayesian multinomial logistic models have been conducted to achieve the objectives. The objective of incorporating Bayesian models is to evaluate the probabilistic certainty and robustness of estimates in the presence of uncertainty and sparse data.Findings from the binary logit model, probit model, Bayesian logit model and Bayesian probit model show that income, income instability, number of dependents in a family, shrinking work opportunities, financial contributions to family, savings and a comparison of household expenses to pre-pandemic expenses influence the households' daily financial management strategies. The multinomial logit model and Bayesian multinomial logit model results, on the other hand, show that education, savings, employment status and major sources of expenditure influenced the choice of financial strategies mostly.This research offers policy recommendations that might alleviate the financial challenges of extremely poor people posed by global crises such as the COVID-19 pandemic. Policymakers can use the results of this study to improve social safety nets, diversify livelihoods and provide char dwellers with banking services. Community leaders and organizations can learn from char dwellers' coping strategies to improve financial hardship. By sharing lessons learned and best practices during the COVID-19 epidemic, stakeholders may better help vulnerable communities like char dwellers.To the best of the authors' knowledge, this is the first study, in Bangladesh to investigate how financially disadvantaged people living in the char region have dealt with the COVID-19 pandemic and thus this paper presents new background information on strategies adopted by poor to cope up with COVID-19 pandemic using both frequentist and Bayesian modeling approaches. A methodological breakthrough, the incorporation of Bayesian analysis strengthens and probabilistically illuminates studies of socio-economic crises. This research clarified about vulnerable groups' crisis response, financial situations and adaptive behaviors.</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Investigation on the factors influencing the continuation intention to use digital wallet in the rural parts of India using extended UTAUT2</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/334135" />
    <author>
      <name>Lakshmanan, Kiruthikasri</name>
    </author>
    <author>
      <name>Shanmugavel, Nagarajan</name>
    </author>
    <id>https://hdl.handle.net/10419/334135</id>
    <updated>2025-12-20T03:00:43Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Title: Investigation on the factors influencing the continuation intention to use digital wallet in the rural parts of India using extended UTAUT2
Authors: Lakshmanan, Kiruthikasri; Shanmugavel, Nagarajan
Abstract: Purpose - This study aims to identify the significant factors that influence the continuation intention (CI) to use a digital wallet in the regions with low technology infrastructure and among the consumers possessing low levels of digital and financial literacy. Design/methodology/approach - Data for the study were collected from the rural parts of South India with 295 digital wallet users. Co-variance-based structural equation modelling (SEM) (CB-SEM) using maximum likelihood estimation method and Bayesian SEM (BSEM) approaches were executed to test the influence of independent variables on the dependent variable and to ensure the validation of the proposed hypothetical model. Findings - The results showed that trust, incentives, technology satisfaction (TS), facilitating condition, performance expectancy, effort expectancy, habit and hedonic motivation significantly influenced the CI to use a digital wallet. In addition, incentives positively impact habit for the CI to use a digital wallet. Research limitations/implications - The present study is based on the samples from the regions with low technology infrastructure and among the consumers possessing low levels of digital and financial literacy in the rural parts of South India, which limits the generalisation of results. Practical implications - The results provide impetus to the government, digital wallet marketers and users regarding how the CI to use a digital wallet can be encouraged among the low-adoption regions. Originality/value - This study remains unique as the assessment of CI to use a digital wallet was conducted in low-adoption regions (rural parts of India) in extending Unified theory of acceptance and use of technology 2 with TS. A comparison of results arrived from CB-SEM with those of the BSEM ensures that the validation of the hypothetical model is found to be another major methodological contribution towards the consumer behaviour literature.</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Nexus between audit committee characteristics and audit report lag in an emerging economy: An analysis using frequentist and Bayesian regression models</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/334149" />
    <author>
      <name>Sobhan, Raihan</name>
    </author>
    <author>
      <name>Mim, Fahmida Fayaja</name>
    </author>
    <author>
      <name>Rahman, Fariha</name>
    </author>
    <id>https://hdl.handle.net/10419/334149</id>
    <updated>2025-12-20T03:00:40Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Title: Nexus between audit committee characteristics and audit report lag in an emerging economy: An analysis using frequentist and Bayesian regression models
Authors: Sobhan, Raihan; Mim, Fahmida Fayaja; Rahman, Fariha
Abstract: The objective of this study is to investigate the association between audit committee characteristics and audit report lag in the context of listed manufacturing companies in Bangladesh.Data from 240 firm-year observations for 2018-2022 are collected and analyzed using both the pooled-ordinary least squares (OLS) model with panel corrected standard errors (PCSE) and the Bayesian regression model. The results are explained in line with the agency theory and resource dependence theory.The study reveals that audit committee size, gender diversity and expertise are negatively and significantly associated with audit report lag. The results remain consistent using the lag model, which indicates that the current year's audit committee can have an impact on the subsequent year's audit report lag.The study has been conducted in the context of Bangladesh and thus cannot be generalized for other countries.The study implies that companies should form large audit committees and ensure higher participation of female members and expert members in forming such committees. Policymakers and regulators can also play roles in this regard to ensure the timely issue of audit reports.This is one of the pioneer studies to investigate the link between audit committee characteristics and audit report lag in the context of an emerging economy like Bangladesh. This study advocates agency theory by linking audit committee characteristics to reduced information asymmetry and contributes to resource dependence theory by emphasizing their role in enhancing financial reporting timeliness.</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Fair economic division: How to modify Shapley value to take into account the fact that different people have different productivity</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/334144" />
    <author>
      <name>Servin, Christian</name>
    </author>
    <author>
      <name>Kreinovich, Vladik</name>
    </author>
    <id>https://hdl.handle.net/10419/334144</id>
    <updated>2025-12-20T03:00:38Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Title: Fair economic division: How to modify Shapley value to take into account the fact that different people have different productivity
Authors: Servin, Christian; Kreinovich, Vladik
Abstract: When several participants, working together, gained some amount of money, what is the fair way to distribute this amount between them? This is the problem that the future Nobelist Lloyd Shapley was working on when he proposed what is now called the Shapley value - a division uniquely determined by natural fairness assumptions. However, this solutions is not universal: it assumes that all participants are equal - in particular, that they have equal productivity. In practice, people have different productivity levels, and these productivity levels can differ a lot: for example, some software engineers are several times more productive than others. It is desirable to take this difference in productivity into account.Shapley value is based on an axiomatic approach: it is uniquely determined by the appropriate fairness assumptions. To generalize Shapley value to the case of different productivity, we modified these assumptions appropriately, and analyzed what can be derived from these modified assumptions.We prove that there is a unique division scheme that satisfies all the resulting assumptions. This scheme is thus a generalization of Shapley value to this more general and more realistic situation, when different participants have different productivities.Both the formulation of the problem and the result are new. The resulting division scheme can be used to more adequately distribute the common gains - by explicitly taking into account the fact that different participants have, in general, different productivities.</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
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