978 research outputs found
Remittances and poverty alleviation
Abdul Bayes is Professor of Economics at Jahangirnagarr University, Mahabub Hossain is a Distinguished Professor, BRAC University and ANM Mahfuzur Rahman is from Data Management Unit BRAC
Data for analyzing the spatial variations in the level of unskilled birth attendant deliveries and its predictors in Bangladesh
The file named "Table S1" contains the Table S1 that presents the complete list of 40 candidate explanatory variables. The file named "Data_Spatial Analysis" contains the data of the 40 candidate explanatory variables for 672 clusters. The file named "Variable_Description" presents the name of each variable in file "Data_Spatial Analysis". By joining the data file named "Data_Spatial Analysis" with the geographic data of clusters collected by 2017/18 Bangladesh Demographic and Health Survey, one can perform all the analyses whose result we used in our article
Quality of birth data collected by Bangladesh Demographic and Health Surveys during 1993-2014
This is a short assessment of the quality of birth data collected by Bangladesh Demographic and Health Surveys conducted between 1993-2014
Descriptions of data file and variables used in the decomposition analysis
The stored data files contain the sorted data for all the analyses performed in the paper entitled “Factors associated with the change in unwanted childbearing in Bangladesh during 2007 ̶ 2017/18: A decomposition analysis of nationally representative survey data”. Besides the data files, a pdf file is also stored here containing the explanation of the data files and variables used in the analyses
A hygro-thermo-chemical-mechanical model for the shrinkage prediction in composite steel-concrete floors
Composite steel-concrete slabs are widely used for building applications and they consist of reinforced concrete slabs cast on profiled steel sheeting. When used in building floors, their design is usually governed by serviceability limit conditions. Recent research has highlighted the occurrence of a non-uniform shrinkage profile that influences the slab deflection and that develops through the slab thickness due to the inability of the concrete to dry from its underside because of the presence of the steel sheeting. This paper presents a hygro-thermo-chemical-mechanical model formulated for the analysis of moisture transport and heat transfer suitable for the shrinkage deformation predictions of composite floor systems. In particular, the approach predicts the temperature and moisture variations that can take place over time in the concrete accounting for different exposure conditions. In the framework of a staggered approach, the outcomes of the initial hydro-thermo-chemical analysis are specified in input to the time-dependent mechanical model. The applicability of the proposed approach to composite floor slabs is validated against experimental measurements recorded over time for unreinforced companion concrete samples exposed with different surface conditions
Behavioural determinants of financial risk tolerance: Evidence from Malaysia / Md Mahfuzur Rahman
Financial risk tolerance is one of the fundamental inputs of investment management models and it differs among individuals. Past studies on this topic have focused mainly on background analysis particularly demographic characteristics. However, there have not been many empirical data that analyse why financial advisors fail to accurately assess financial risk tolerance and guide individuals despite of knowing the demographic characteristics. To address the shortcomings of the instruments used by financial advisors to assess and guide individuals, this study extensively synthesises related literature in other disciplines such as psychology, behavioural economics, and behavioural finance. Research in the psychology, behavioural economics and behavioural finance contexts have identified behavioural propensities as promising behavioural factors to overcome such limitations. Therefore, behavioural propensities literatures are reviewed, analysed, synthesised to improve the understanding on the assessment of individuals’ financial risk tolerance and what other factors beyond individuals’ demographic characteristics, should be also assessed. To achieve this aim, this study investigates the influence of six (6) core behavioural factors (such as propensity for regret, propensity for trust, happiness in life, propensity to attribute success to luck, propensity for overconfidence, propensity for social interaction) on financial risk tolerance. This study also examines whether the levels of financial risk tolerance and behavioural propensities significantly differ among the gender and ethnic groups. In addition, the study analyses the role of religiosity and ethnicity in the relationship between behavioural factors (behavioural propensities) and financial risk tolerance. Empirical data were collected using a survey questionnaire. The questionnaires were distributed to the Malaysian undergraduate students based on quota sampling method to confirm the representativeness of the targeted population. A total of 1679 questionnaires were distributed to six public universities in the Klang Valley. However only 1204 questionnaires were completed and used for analysis. This study employs structural equation modelling to validate and assess proposed research model. The results of the analysis demonstrated some new findings. First, the findings indicate that propensity for regret, propensity for trust, happiness in life, propensity to attribute success to luck and propensity for overconfidence have significant influence on financial risk tolerance while propensity for social interaction does not. Second, this study finds significant differences in behavioural propensities and financial risk tolerance among gender and ethnic groups. Lastly, the findings provide support for the moderating effects of religiosity and ethnicity in the proposed research model. Several implications emerge from these findings. The results highlights the important role of behavioural determinants to assess individuals’ financial risk tolerance which in turn highlights the important role of behavioural factors as tools that can be used by financial advisors in ensuring appropriate advice is delivered to clients. Understanding financial risk tolerance is a complex process that goes beyond the exclusive use of demographic characteristics and behavioural factors. Thus, more research is clearly needed to resolve which additional factors can be used by financial advisors to increase the explained variance in financial risk tolerance differences
Data for: Forest resources conservation in the protected areas through co-management: Analyzing multi-temporal satellite imagery and stakeholders’ perceptions
The data file has two sheets: (1) Perception data and (2) GIS data related to the study sites
Positioning marketing analytics for organisational agility in the ready-made garments industry in an emerging country context
This study aimed to examine the complex forces that influence the adoption of marketing analytics in the ready-made garments (RMG) industry in an emerging country context. The forces for change and those that impede the adoption of marketing analytics in the industry were explored. We used Lewis’s Force Field Analysis framework to inform the research. Semi-structured interviews with managers, technology experts, and government officials were conducted using face-to-face and virtual meetings. The results reveal that RMG buyers’ demand, competitors, lack of employee performance, and climate change issues are central forces pushing for implementing marketing analytics in the industry. However, the lack of knowledge, interest, and technology-skilled people, high cost, employee resistance, privacy issues, high employee turnover, and government policies are significant impediments to marketing analytics adoption in the RMG industry. The theoretical, organisational, policy, and professional implications are then discussed. Theoretically, this study contributes by creating a conceptual framework using Lewin’s Force Field Analysis. In practical terms, this study suggests that marketing analytics in the Industry 4.0 era offers significant opportunities for businesses and policymakers to increase their flexibility, competitiveness and responsiveness
Women and leadership in non‐listed private companies in an emerging country: An analysis of barriers and facilitators
This study explores women's barriers to accessing leadership positions within non-listed private companies in Bangladesh, drawing on the Gendered Organization Theory (GOT) as a conceptual framework. This research seeks some possible solutions to overcome these barriers. The study adopts a two-wave qualitative methodology: semi-structured interviews with 16 women professionals and subsequent focus-group discussions to explore solutions. Results reveal that women face significant barriers, such as long working hours, gender pay gaps, unclear responsibilities, biased promotion processes, lack of training, and sexual harassment. These barriers are conceptualized in terms of implicit and explicit gender biases. Research participants emphasized individual efforts like self-determination, upskilling, job switching, technology leveraging, and family support as key factors in overcoming these obstacles. The study underscores the need for organizational and governmental interventions to promote female leadership and gender equity in non-listed companies in developing countries
Knowledge-sharing Behaviour Through Leadership and Culture: The Moderating Role of Job Autonomy and Gender
This study examines how participative leadership, digital leadership and digital organizational culture influence employees’ knowledge-sharing behaviour and how these are moderated by job autonomy and gender in Malaysia. Responses from 412 employees were collected from various organizations in the tourism sector. The data analysis was conducted through PLS-SEM to test hypotheses. Participative leadership, digital leadership and digital organizational culture were found to have a significant influence on the knowledge-sharing behaviour of employees. Our results also showed that job autonomy significantly moderates the relationship between digital organizational culture and knowledge-sharing behaviour. The research revealed that gender does not moderate the influence of participative leadership, digital leadership and digital organizational culture on knowledge-sharing behaviour. The study significantly contributes to strategically deploying technology in an increasingly digital business world. The study has important theoretical and practical implications, which are presented together with suggestions for further research
- …
