Changes in information technology have a great influence on people’s preferences and lifestyles. Smart devices and technologies have taken the conventional way of traveling into a smart tourism system. The aim of this paper is to examine smart tourism, the integration of different activities of different tourism service providers, and their interactions with tourists. It also finds out the smart tourism tools, how they are being used by different actors, how the tourist and the network perceived and interact with them for making up a smart tourism ecosystem, and finally how they create the sustainable value co-created services. This paper is qualitative in nature and used a holistic approach. The data were collected through interviews of 24 service providers and 50 service receivers, mainly tourists from the study area, Bangladesh. Study shows that there are three phases by which actors are communicating with each other comprising pre-service delivery, during-service delivery, and post-service delivery. Smart tourism tools are being used throughout the phases which eventually create value in co-created services with three pillars of sustainability (economic, socio-cultural and environmental). This study will contribute to the existing body of knowledge in the field of smart tourism, value co-creation, and sustainability.

The havoc caused by the COVID-19 pandemic on hospitality businesses across the world affected the human resource skills of the industry to the extent that managers and industry experts are still finding difficult how best to upgrade the skills of their workforce and enhance their capability to withstand future disruptions. It is based on this problem that this research investigated the effect of human resource skill adjustment on the dynamic capability of hospitality businesses in sub-Saharan Africa post the COVID-19 work environment. The study employed cross-sectional survey design with a total population of two hundred and twenty participants drawn from sixty hospitality businesses in the south-eastern part of Nigeria. Formulated research hypotheses were analysed with linear regression. The results of the research demonstrated that human resource skill adjustment predicted the dynamic capability of hospitality businesses. The study concludes that human resource skill adjustment measured with upskilling and reskilling methodologies predicted the dynamic capability. The implication of the finding is that managers and operators of hospitality businesses should implement human resource skill adjustment in all the functional areas of their management to enable each section or department to attain its goals equally, and enhance the dynamic capability of the industry.

The primary aim of this study is to delve into the factors influencing individuals’ readiness to embrace financial technology (FinTech) services in Bangladesh. Specifically, the study focused on Bangladeshi fintech consumer’s knowledge about contemporary digital financial tools, such as mobile-based payment service apps. Data collection was carried out using a survey questionnaire tailored to the Bangladeshi context. Participants were invited to participate in the survey, and their responses were gathered upon their consent. A five-point Likert scale, ranging from ‘1’ for ‘Strongly Disagree’ to ‘5’ for ‘Strongly Agree,’ was employed to gauge the questionnaire items. The final sample size was 450 respondents. To assess the hypotheses, a 5% significance level was employed, with data analysis conducted using SPSS software. The findings underscore a positive and statistically significant impact of financial literacy, digital literacy, and financial self-efficacy on the adoption of FinTech services in Bangladesh. Collectively, these variables elucidate 48.20% of the variance (R2=0.482) in predicting individuals’ adoption behavior of FinTech. Financial self-efficacy (β = 0.574; t-value = 8.394) has the highest effect on FinTech adoption compared to the other two factors. Additionally, a substantial correlation coefficient (r=0.634) is present between digital literacy and FinTech adoption. This study contributes to the extant literature on FinTech services by providing valuable insights that enhance scholars’ understanding of the emerging financial technologies’ significance and their predominant impacts within the Bangladeshi FinTech ecosystem. These findings hold implications for policymakers, financial institutions, and stakeholders seeking to promote FinTech adoption and foster financial inclusion in Bangladesh.

The study indicates the impact of Brand Image on Customer Loyalty with the Mediating Role of Customer satisfaction and Brand Awareness. A questionnaire is filled by the 300 respondents that are selected through non-probability to measure customer satisfaction and their loyalty to their favorite Brand. The respondent filed the questionnaire according to their favorite brand. In the study 22 statements and 5 points, Likert Scaled survey questionnaire was filled by the 300 respondents. The results were made by using different methods. The result is based on the statistics test which displays that the Image of the brand and customer Loyalty is very significant with Customer Satisfaction and Brand Awareness, but Brand Image is insignificant with Brand Awareness. The result is analyzed through SPSS software for statistical analysis. The study was conducted within a short time and within the limited resources due to the pandemic attack of the COVID-19. In the future study, the major topic is recommended due to the current situation in the world due to the pandemic attack of the COVID-19 impact of any pandemic diseases on customer loyalty. JEL Classification Codes: M31, M39.

The compensation system, employee motivation, and employee satisfaction have received much attention from academics for many years. Existing research, however, does not yet detail the mediation effect of employee motivation on the relationship between the entire compensation system and employee satisfaction. The study explores the influence of the compensation structure on employee satisfaction using employee motivation as mediation. This research embraced a quantitative design, positivism paradigm, deductive approach, and explanatory research. Cross-sectional data from 100 employees were drawn with a random sampling technique using a self-administered survey questionnaire. First, in sequence of analysis, descriptive statistics were conducted. After that, a reliability test was used to test internal consistency. Finally, a correlation test, direct effect, indirect effect, and total effect were used to test the hypotheses at the 0.05 level while analyzing the data. The findings show that the compensation system has a favorable impact on employee satisfaction by partially mediating motivation. Concurrently, this study establishes awareness intending to revise a robust compensation strategy so that employee morale, engagement will increase and turnover will reduce. The study outcomes will assist policymakers in improving the situation of the existing workforce in insurance companies and other financial companies in Bangladesh.

The goal of this research was to create a partial least square structural equation model (PLS-SEM) with a second-order structural model to investigate the interaction between research-based methodologies and relationship factors that significantly influence learning satisfaction among university students. The instruments used in this study were a simple random sampling technique for structural equation model (SEM) analysis, while a quantitative process of survey data collection was manipulated through SPSS and Smart-PLS. The presented study attempted to explore whether teachers’ strategies are linked with their students for the students’ learning satisfaction. Thus, it represents the demands and expectations of two statistically significant common phenomena: research-based components and relationship approach components. This set of teaching techniques encourages university students and enhances their learning satisfaction. Moreover, this study explored teaching strategies that influence factors having a directly significant influence on learning satisfaction at university level. Each factor measures the relationship’s construct, proven to be a second-order SEM reflective model that is statistically significant. Our study explored learning satisfaction as an integral part of teaching strategies, by first- and second-order structural equation modeling, supported by students’ expectations, and the study’s empirical results provide potential implications for learning satisfaction.