The concept of green human resource management has recently combined with ecological management in business, urbanization, industrialization and so many so forth. It is mainly responsible for managing human resources work, and these work conditions are good. Green human resource management procedures are fundamentally used to reduce the carbon impression of each worker and the information capital of the holding association. It also plays role in convincing workers to look after resources, and participate in waste management to control pollution. It is recommended that companies should be more aware of each of the capabilities that make human resources management green. The development needs of combining ecological manageability with human resource management. Organizations now recognize that while focusing on money-related benefits, they should think about the social and ecological effects to ensure their manageability. Therefore, this notion has lately taken into account, academic analysts and experts. This paper investigates GHRM practices in organizations based on the many current writings. The study found the importance of GHRM ideas, practices, strategies, and difficulties in the business and other organizations. The study uses documented strategies to observe, collect and dissipate contemporary surveys of green human resource management.
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.
This study analyses the importance of the entrepreneurial intention of university students to promote social change by green entrepreneurship in regard to the three most vibrant components of AMO (Ability, Motivation, and Opportunity) theory, developed by the partial least square structural equation model (PLS-SEM). The entrepreneurial intention among students is identified via a deductive approach and this approach is developed using a PLS-SEM. The literature exploited and the methodology used comprise a full exploratory analysis technique to collect empirical data to find the predictor variables that influence the promotion of social changes connected to the mediating variable of green entrepreneurship. The survey data were collected from a total of 302 respondents through survey questionnaires from the students. The data were examined statistically to demonstrate the hypotheses predicted from the literature review. The outcomes of the hypothesis association showed that AMO theory influences the predictor variables of skills, incentives, and entrepreneurship education, and that these skills are statistically significant and accepted towards green entrepreneurship. However, the importance of a green entrepreneurship strategy is influenced by the entrepreneurial intention that encourages the promotion of social change. Therefore, the present study helps researchers to find the structural relationship between different wings connecting AMO theory with the entrepreneurial intention that incurs and develops sustainable business performance to create jobs, instead of searching for jobs. Secondly, this study also indicates a mixed approach where participants can openly discuss their opinion and understanding. Ultimately, this study encourages the use of the covariance-based structural equation model (CB-SEM) by confirming its theory, and testing the confirmatory factor analysis in particular.
Purpose: The purpose of this study was to investigate the effects of knowledge management on innovation capability in the banking sector. Research methodology: Cross-sectional research design was employed in this study as it supports the use of questionnaire for data collection. Fifteen deposit money banks constitute the accessible population. Questionnaire was used as an instrument for data collection. A sample size of 272 was drawn from the overall population of 920. Overall, 259 staff participated in the study. Demographic characteristics of participants were analysed with frequency distribution while linear regression was used to analyse formulated hypotheses with the aid SPSS. Findings: This study found that knowledge management has significant positive effects on innovation capability. Research limitations: The research limitation is associated with cross-sectional survey and geographical scope. Future studies should employ longitudinal survey that support data collection for a year. Secondly, future studies should be carried out in other countries other than Africa. Practical implications: The implication of the finding is that managers and directors of banks should encourage knowledge management practices in their workplaces as this has proven by this study to improve innovation capability in terms of marketing innovation capability, product innovation capability and process innovation capability. Originality/Value: There is no research that has investigated the effects of knowledge management on innovation capability. Thus, this study provides new insight on promoting innovation capability through knowledge management.
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.
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