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With the simultaneous increase of natural hazards and land- and resource-vulnerable women in the rural coasts of Bangladesh, large- and medium-scale infrastructure and livelihood programmes by government and non-government-organisations have been plenty. Yet, gender-responsive and livelihood-integrated infrastructure for these women's adaptation against increasing coastal vulnerabilities has been scarce. This paper outlines an infrastructure framework for improving their livelihood resilience in the scarcity of similar research.

A case study approach was assumed for this research. Based on a conceptual framework, in-depth interviews and focus-group-discussions with vulnerable women and key-informant-interview of NGO/government respondents were primarily used for data collection at Latachapli – a disaster-vulnerable coastal village in Southwest Bangladesh. Findings were derived primarily through inductive thematic coding.

Rural coastal women's livelihood vulnerabilities result from the lack of adequate, spatial/infrastructural and integrated (socio-economic) facilities and institutions. There is a clear need for a community-level and gender-responsive spatio-physical platform to create income generation/livelihood diversification opportunities irrespective of seasonalities, skill/capacity development and sharing/networking possibilities.

Due to case-specificity, research findings are representative but not generalisable. Further research is needed, especially at the intersection of gender, inequality and infrastructure design/planning regarding vulnerable women's resilience.

This proposed infrastructure framework can be considered for similar disaster-vulnerable rural coastal settings as a development policy and a physical infrastructure.

This case study's in-depth probing into vulnerable coastal women's livelihoods contributes to a growing body of knowledge, highlights their complex needs, and re-conceptualises gender-responsive infrastructure in similar communities' sustainable development. Piecemeal funding for social services will be more effective if coordinated with and allocated to appropriate engineering infrastructure. With access to proper community facilities and diverse livelihood opportunities all around the year (in this case, a multipurpose gender-sensitive infrastructure), communities would be more empowered to self-organise and support each other in delivering necessary soft services.

The study aims to identify the determinants of customer satisfaction in the electronic commerce (e-commerce) industry in Bangladesh. It also investigates whether acceptance of IT innovation mediates the relationship between the determinants of e-commerce and customer satisfaction.

A survey questionnaire had been designed and distributed among the customers of e-commerce businesses. Data were collected from 408 respondents, who were mostly from urban areas of the country. The collected data had been analysed with the application of the partial least square approach using SmartPLS4. First, the measurement model was applied to determine the validity and reliability of the dataset. Then, the structural model was utilized to justify the hypothesis.

The results showed that customer service, perceived ease of use and customer trust in e-commerce services have a significant positive impact on customer satisfaction. The acceptance of IT innovation, which showed a positive influence on customer satisfaction, enhanced customer satisfaction when accompanied by perceived ease of use and digital literacy.

The results would have valuable insight for the e-commerce business in designing their products and services and taking policies to achieve long-term customer loyalty.

This is the first study that incorporates IT innovation acceptance as a mediating variable. Although a number of factors have been identified as the determinants of customer satisfaction, the specific mechanism of IT innovation acceptance as a mediator between predictors and customer satisfaction is unique in this study.

The purpose of this study is twofold. First, it aims to examine the influence of customers' green considerations in the form of perceived green knowledge and environmental concern on their intention to stay at green hotels; and secondly, to explain the mediating role of green trust among the considered variables.

The study investigates green hotel visit perceptions of 213 customers of hotel industry of Dhaka, Bangladesh using Partial Least Square method. Data was collected using a standard structured questionnaire.

The findings display a significant positive influence of perceived green knowledge and green trust on customers' green hotel visit intention. Moreover, green trust mediates the relationship of green visit intentions with customers' green knowledge and environmental concern.

The study demonstrates that environmental knowledge and green trust make customers choose green hotels. The findings of the current study may assist the hotel business administrators to understand the underlying factors for choosing green hotels and adopting green practices in their business operations accordingly.

To the best knowledge of the researchers, the study is first to measure the mediating impact of green trust on the influential factors of customers' green hotel visit intention in Bangladesh. The result reveals how considered variables interact with each other to influence green hotel choice decisions.

This study aims to explore the relationship between tourism and women’s employment in 32 South American and Caribbean countries from 1996 to 2020.

In this paper, both static (fixed effects and random effects) and dynamic panel data models (system and differenced generalized method of moments) are used. In addition to gross domestic product, trade, education and urban population are also considered in this study.

According to the findings, a boost in tourism led to an increase in women’s engagement in the economy and service sectors. This paper also explores the efficiency of alternate methods to deal with various models of women labor force (WLF) involvement in various sectors. Women’s employment opportunities in the service sector expand as a result of tourism, but in the agricultural and industrial sectors, that employment opportunity is reduced.

This study investigated the impact of tourism on WLF participation and found that it had a significant impact. This study, on the other hand, specifically contributed to the tourism sector in some specific study areas, such as tourism and agriculture, service and industry sectors. This study also displays that female participation in South America and the Caribbean countries is increasing and women are shifting away from traditional economic sectors.

This is the pioneering study to discover tourism and female participation in employment in South American and Caribbean countries. The findings of this study have important implications for future studies and policy debates examining the consequence of the tourism industry on WLF.

The purpose of this study is to establish empirical relationships between patient flow problems, healthcare service quality and patient satisfaction with emergency department (ED) service factors from the patient perspective.

In the overall study, of which the current investigation is a part, a mixed-method research approach was to achieve the research objectives. The results reported in this paper are based on a comprehensive questionnaire survey where a well-designed and reliable questionnaire was used to survey ED patients. This study conducted partial least squares structural equation modelling (PLS-SEM) by using Smart PLS software.

Results show that the respondents mostly agreed with the proposed concept of quality in ED and patients were less satisfied with ED services in general and with the internal and external environments in ED in particular. It was found that relationships between nine identified scales of patient flow problems, healthcare service quality, and patient satisfaction are significant. The findings reveal that the relationship between patient flow problems and patient satisfaction is positively mediated through healthcare service quality, which shows the predictive capability of the model, indicating high predictive relevance.

This research involves a relatively small sample from a single case study. The positive relationship between patient flow problems and patient satisfaction indicate practical significance of the model for guiding to improve overall patient satisfaction.

This research, through the involvement of both hospital staff and the patient, brings out a holistic approach in terms of operational excellence in a critical unit such as the ED. The empirically established relationships form the benchmarking and guide for developing guidelines for designing policies for service improvements of ED practices.

The purpose of this paper is to systematically investigate the patient flow and waiting time problems in hospital emergency departments (EDs) from an integrated voice of customer (VOC) and voice of process (VOP) perspective and to propose a new lean framework for ED process.

A survey was conducted to better understand patients' perceptions of ED services, lean tools such as process mapping and A3 problem-solving sheets were used to identify hidden process wastes and root-cause analysis was performed to determine the reasons of long waiting time in ED.

The results indicate that long waiting times in ED are major concerns for patients and affect the quality of ED services. It was revealed that limited bed capacity, unavailability of necessary staff, layout of ED, lack of understanding among patients about the nature of emergency services are main causes of delay. Addressing these issues using lean tools, integrated with the VOC and VOP perspectives can lead to improved patient flow, higher patient satisfaction and improvement in ED capacity. A future value stream map is proposed to streamline the ED activities and minimize waiting times.

The research involves a relatively small sample from a single case study. The proposed approach will enable the ED administrators to avoid the ED overcrowding and streamline the entire ED process.

This research identified ED quality issues from the integration of VOC and VOP perspective and suggested appropriate lean tools to overcome these problems. This process improvement approach will enable the ED administrators to improve productivity and performance of hospitals.

This exploratory study aims to investigate relationships of current manufacturing practices and their performance with the size of the manufacturing organizations. The study also seeks to identify the practices that significantly influence their manufacturing performance.

Relationships of current manufacturing practices and their performance are investigated using established scales including competitive advantage, quality and reliability practices, advanced quality practices, supplier relationship, field data and information exchange, product data management, manufacturing performance. Descriptive statistics, ANOVA and regression model were used in order to fulfil the objectives of the study. The survey was administered to top managers across the manufacturing industry.

The results of the study indicate that there are significant differences in the strategic approach of small and medium (SMI) and large industries (LI). In terms of manufacturing performances, SMIs are marginally ahead of large industries (LIs). SMIs consider product quality and reliability as a basic competitive advantage, while LIs consider company reputation as the import competitive dimension.

Possibility of method variance or response biases are limitations of this study, as all data are drawn from employee surveys, and there is some selection bias, as it was not possible to directly compare respondents with non‐respondents.

This study makes a significant contribution to the manufacturing practices and performance literature by providing further statistically significant evidence of the relationships of current practices and performance across the size of industries.

The purpose of this paper is to analyze nano zero-valent iron (nZVI)-activated carbon/Nickel (nZVI-AC/Ni) by a novel method. The synthesized adsorbent was used to degrade reactive orange 16 (RO 16) azo dye.

The optimum conditions for the highest removal of RO 16 dye were determined. Characterization of nZVI-AC/Ni was done by scanning electron microscopy, Fourier-transform infrared spectroscopy, X-ray diffraction and energy-dispersive X-ray spectroscopy. The nZVI-AC/Ni were used for the removal of dye RO 16 and the parameters affecting were discussed such as pH, adsorbent dosage, contact time and concentration of dye. To investigate the variables and interaction between them, an analysis of variance test was performed.

The characterization results show that the synthesis of nZVI-AC/Ni caused no aggregation of nanoparticles. The maximum dye removal efficiency of 99.45% occurred at pH 4, the adsorbent dosage = 0.1 gL-1 and the dye concentration of 10 mgL-1. Among various algorithms of feed-forward backpropagation neural network, Levenberg–Marquardt with mean square error (MSE) = 9.86 × 10^–22 in layer = 5 and the number of neurons = 9 was selected as the best algorithm. On the other hand, the MSE of the radial basis function model was 0.2159 indicating the good ability of the model to predict the percentage of dye removal.

There are two main innovations. One is that the novel nZVI-AC/Ni was prepared successfully. The other is that the optimized conditions were obtained for the removal of RO 16 dye from an aqueous solution. Furthermore, to the best of the knowledge, no study has ever investigated the removal of RO 16 by nZVI-AC/Ni produced.

The purpose of this paper is to develop a framework that illustrates the role of Lean Six Sigma (LSS) in creating organisational innovation climate by investigating the relationship between LSS’s intangible impacts and organisational innovation climate factors.

A self-administrated survey questionnaire was distributed among 145 public sector officials to get their opinions on the relationship between various observable elements of LSS’s intangible impacts and organisational innovation climate factors, where a response rate of 73.8% was achieved. The collected data were demographically, descriptively and statistically analysed. Accordingly, a house-of-pillars-based framework that illustrates the role of LSS’s intangible impacts in creating innovation climate in an organisation was developed.

Results from this study indicated that LSS’s intangible impacts on organisational structure and hierarchy, culture, change adaptability, utilisation of staff and staff’s behavioural aspects are positively related to many of organisational innovation climate factors such as trust and openness, challenge and involvement, support for ideas and freedom and autonomy.

The findings of this study are based on the data collected from public sector organisations in the UAE and are supported by relevant literature. However, this study can provide useful guidance for further research for the generalisation of the results to wider scopes in terms of sectors and geographical domains.

The findings of this study will provide UAE public sector officials with a clear roadmap on how to use LSS for promoting innovation and fostering its implementation in practice. This study will also encourage professionals in public sectors to integrate LSS into their innovation strategies to enhance organisational innovativeness and improve service quality.

It is one of the first studies that explores LSS’s intangible impacts and assesses their relationship with organisational innovation climate factors. Hence, this study offers valuable insights for both academics and practitioners and is expected to lay a foundation for a better understanding of how LSS’s intangible impacts can be used in creating organisational innovation climate.