Search results

The purpose of this study is to investigate the role of millennial tourists’ accommodation service experiences (ASEs) on their satisfaction, word-of-mouth (WOM) and revisit intentions (RIs) in an emerging economy.

A survey instrument was used to collect cross-sectional data from millennial tourists, and the 282 valid datasets were analyzed using structural equation modeling.

The results demonstrated that ASE had a beneficial impact on satisfaction and WOM but not on RI. Significant positive associations between tourist satisfaction, WOM and RI were also discovered. Additionally, WOM research sheds new light on how the ASE of millennial tourists affects their satisfaction, WOM and propensity to return. Furthermore, results show that WOM intentions and satisfaction mediate the relationship between ASE and RIs.

The study presents a unique research context, the application of advanced statistical techniques and the comprehensive investigation of key outcome variables in the context of millennial tourists’ ASEs in an emerging economy. This study contributes significantly to the body of knowledge in the field of tourism research, aiming to meet long-term goals in a sustainable way for the hospitality industry operators by integrating ASE, satisfaction, WOM and RI. Additionally, the study presents the mediating role of WOM and satisfaction in the millennial tourists’ emerging country context.

Environmental threats are becoming severe in developing and undeveloped countries. It urges to know how green banking operations can foster sustainable development in these regions. This study aims to provide empirical evidence of the determinants of green banking operations in Bangladesh.

Based on the socially responsible investing (SRI) theory, this study examined the hypothesized relationships using a partial least square structural equation modeling (PLS-SEM) approach. The Bayesian SEM (BSEM) through a Markov Chain Monte Carlo (MCMC) approach was also used to validate the study's first-order model.

The findings show that sustainable innovativeness, green investment and green banking policy substantially and positively change green banking operations. Notably, green investment is the most influential predictor of green banking operations, driving banks to establish sustainable economic systems within the country.

The findings offer valuable guidance for scholars, financial institutions, policymakers and bank managers to develop and implement effective strategies for green banking operations. These strategies may significantly contribute to achieving the sustainable development goals (SDGs) in Bangladesh.

This study is ground-breaking in associating sustainable innovativeness and green banking operations from a developing country. It enriches our understanding of green banking, aligning with existing literature. Additionally, PLS-SEM and BSEM provide strong validation of the proposed theoretical model.

Online shopping around the world is growing exponentially, especially during the COVID-19 pandemic. This study aims to examine how an online customer's purchasing experience influences his/her buying intention and willingness to believe in fraud news, as well as the ripple impact of satisfaction and trust, with gender as a moderator in an emerging economy during COVID-19.

Based on the underpinning of the stimulus-organism-behavior-consequence (SOBC) theory, the research model was developed, and collected data from 259 respondents using convenience samples technique. Next, the data were analyzed using partial least squares-based structural equation modeling (PLS-SEM), SPSS (Statistical Package for the Social Sciences) and Hayes Process Macro.

The study results confirmed that the online shopping experience (OSE) has positive impact on customers' satisfaction (CS), purchase intention (PI) and customer trust (CT); CS has positive effects on trust toward online shopping and their future product PI; future product PI significantly affects customers' propensity to believe and act on fraud news (PBAFN). The finding also states that gender moderates the relationships of CS to PI, OSE to PI and PI to PBAFN, but doesn't moderate the CT to PI relationship.

The study findings will assist policymakers and online vendors to win customers' hearts and minds' through confirming satisfaction, trust and a negative attitude toward fake news, which will lead to customer loyalty and the sustainable development of the industry. Finally, the limitations and future research directions are discussed.

Although wearable health-monitoring technology (WHMT) has become a stimulus for public health, women’s acceptance rate of this technology appears to be low. Thus, this study intends to investigate the factors affecting women’s adoption of WHMT.

The unified theory of acceptance and use of technology–2 model has been used in this study as a research framework that has been extended to include lifestyle and attitude. The proposed extended framework is validated using primary data (n = 314) collected from female respondents using a structured questionnaire; the partial least square-based structural equation modeling technique is subsequently used to test the proposed hypothesis.

The results show that effort expectancy, social influence, price value, habit, attitude and lifestyle have significant positive effects on women’s behavioral intention to use WHMT and accelerate actual usage behavior. Notably, effort expectancy and habit exhibit the largest impact on behavioral intention. However, performance expectancy, facilitating conditions and hedonic motivation are not significantly associated with behavioral intentions.

The findings of this study are important for healthcare practitioners and service providers to comprehensively understand the factors that affect women’s behavioral intentions in line with their actual usage behavior. This insight will help policymakers design viable strategies regarding WHMT to promote its sustainable usage in least developed countries.

This study contributes novelty by using an extended model that links women’s attitudes and lifestyles to their adoption of WHMT. This study also fills the gaps in the existing literature on women’s behavioral intentions in the context of WHMT by showing novel associations in the domain of WHMT uptake.

The purpose of this study is to investigate the factors, which drive teenagers’ behavioural intention to adopt wearable technologies and their behavioural intention to recommend others.

This study proposes a new adoption model combining two different models including the extended unified theory of acceptance and use of technology and the theory of planned behaviour, which provided relevant contributions for understanding the adoption of wearable technologies. A structural equation modelling approach using analysis of a moment structures 23 software was used to analyse the data collected from 318 respondents.

Findings of this study reveals that performance expectancy (β = 0.28; t = 2.049), facilitating conditions (β = 0.28; t = 1.989), social influence (β = 0.23; t = 3.150) and attitude (β = 0.18; t = 3.246) have a statistically significant impact on behavioural intention. Additionally, behavioural intention (β = 0.15; t = 2.543) and attitude (β = 0.15; t = 3.261) have a statistically significant impact on intention to recommend others. However, effort expectancy, price value, hedonic motivation and habit did not have a significant influence on behavioural intention.

In this study, the understanding of the determinants contributing to teenagers’ behavioural intention to use wearable technologies and driving their intention to recommend others to adopt these devices will provide insights to practitioners and decision makers to customize the features of wearable devices to promote sustainable use of these technologies.

This study is among the first to investigate wearable technologies from behavioural perspectives especially on teenagers in Bangladesh. Hence, the findings of this study will help to comprehensively explain teenagers’ behavioural intention to adopt wearable technologies and their intention to recommend others.

The purpose of this work is to study the relationship between the fabric’s mechanical properties such as tear strength (T_S), breaking strength (B_S) and cloth’s dimensional stability (Sh), particularly, after industrial launderings (stone wash, enzyme wash, mixed wash and rinse). Hence, we select the most interrelationships using the principal component analysis (PCA) technique. In this study, the treatments of finishing garments during washing are the important parameters influencing the cloth’s dimensional and the fabric’s mechanical properties. To improve the obtained results, the selected significant inputs are also analyzed within their influence on shrinkage. The polynomial regression model relating the tear strength and the shrinkage of denim fabric proves the effectiveness of the PCA method and the obtained findings.

To investigate the matter, the type of washing, and their contributions to shrinkage, four types of fabrics manufactured into pants were used. These fabrics differ not only by their basis weights (medium and heavy weight fabrics) but, also by their compositions (within and without elastane) and their thread count (warp and weft yarn count, twist and density. To evaluate significant results, a factorial design analysis based on an experimental design was established. The choice of these treatments, as well as their design mode, led us to make a complete factorial experimental design.

According to the results, the prediction of shrinkage behavior as a function of the process washing input parameters seems significant and useful in our experimental design of interest. As a consequence, it was also concluded that after these input parameters, we can find the relationship between the shrinkage (Sh_warp and Sh_weft) and the mechanical properties such as tear strength (T_Swarp and T_Sweft) and breaking strength (B_Swarp and B_Sweft). Thanks to the PCA, it is very easy to reduce the number of the influent output parameters, and knowing these significant parameters, the prediction of mechanical properties knowing the shrinkage of denim garment, during the process of washing seems successful and can undoubtedly help industrial to minimize the poor workmanship of the finishing quality.

This study is very interesting for finishing denim garments. The shrinkage is very important for correcting measures in sewing, considering that a high shrinkage may cause the cancellation of the fit from the client. This type of defect cannot be repaired in the major part of the cases and causes a big loss for the company, moreover the mechanical properties. For this reason, analyzing the value of shrinkage before starting the production cycle is of great importance to apply the right balance to the pattern. The model of predicting the mechanical properties behaviors as a function of the shrinkage denim garment leads manufacturers to eliminate the test of mechanical properties that remain as destructive tests. Moreover, according to the results obtained, it may be concluded that prediction is still accurate through the shrinkage test which is an inevitable test. Even though, these results can bring a huge gain for the garment wash industries.

This work presents the first study predicting a relationship between the mechanical properties and denim garment shrinkage, applying the PCA technique to minimize the all-output parameters that are not significant or correlated with each other. Besides, it deals with the relationship developed between the fabric’s mechanical properties such as tear strength (T_S), breaking strength (B_S) and cloth’s dimensional stability (Sh), particularly, after industrial launderings (stone wash, enzyme wash, mixed wash and rinse). Moreover, it is notable to mention that the originality of this study is to let to the garment wash industries to save in production time of orders and also in quality.

This study investigates how tertiary education in Bangladesh can promote gender equality by integrating feminine writing into the academic environment. It examines feminine writing as a vehicle for empowering female students, encouraging critical thinking and challenging societal norms that perpetuate gender inequality.

This study follows a quantitative research methodology. A cross-sectional survey was conducted among 672 students from various educational institutions across Bangladesh. Based on a research framework driven by critical pedagogy theory, the data analysis employed descriptive and inferential statistics to explore relationships among variables.

The findings indicate that 76.8% of female students engage in personal narratives and 54.9% in feminist essays, showing a significant preference for feminine writing. Female students (70.1%) exhibit greater awareness of gender issues than male students (29.9%). Arts and social sciences students show the highest engagement in gender discussions (52.7%) and are more likely to perceive supportive environments for feminine writing (65.9%). However, students in vocational fields report only 15.5% engagement in gender-related discussions and significantly lower institutional support. These disparities highlight the need for inclusive academic frameworks encouraging broader participation in gender discourse across all disciplines.

The study emphasizes embedding feminine writing and gender perspectives across curricula to foster gender equality in Bangladesh’s higher education sector. To create a more supportive academic environment, policymakers and educational institutions must integrate gender-related content across all disciplines, particularly in science, business, vocational and technical fields.

As one of the first studies to examine the intersection of tertiary education, feminine writing and gender equality in Bangladesh, this research offers new insights into the role of higher education in fostering gender empowerment and critical engagement with societal norms. The findings contribute to a broader understanding of how academic settings can serve as transformative spaces for promoting gender equality and inclusive self-expression.