Understanding the interaction among enablers of quality enhancement of higher business education in Pakistan

Application of Kano model for optimizing the training system among nursing internship students: a mixed-method Egyptian study

BACKGROUND

Clinical experience is an important component of nursing education because it translates students' knowledge into practice, which serves as the cornerstone of nursing practice in health care delivery.

PURPOSE

The study aims to explore the quality attributes required for optimizing the training system of nursing internship students using Kano model.

METHODS

A concurrent exploratory sequential triangulation design was used for mixed-methods research. A total of 295 nursing internship students (Target Population) were recruited (whole-population sampling) from the study settings in Egypt. Of them, 280 (97.2%) agreed to participate in the study and completed the interview and the self-administered questionnaire. Data collection was done over 6 months from February to August, 2022. Inferential statistics and thematic data analysis were used to analyze the results.

RESULTS

Findings revealed that there were 35 fundamental attributes required for high-quality nursing students' internship training. Kano model was used to categorize and prioritize the 35 quality attributes. Kano analysis revealed that 22 attributes were categorized as "attractive" and 11 attributes were as categorized as "must be" and two were indifferent attributes.

CONCLUSION

Incorporating the voice of nurse interns during their training is the key to providing efficient and high-quality internship training experience. It could give realistic impressions about the drawbacks of training and proposed solutions.

IMPLICATIONS OF THE STUDY

Nurse managers and educators in clinical settings and educational institutions should put much emphasis on the training attributes and pillars to ensure that nursing internship students are mastering the skills of competent alumni. Provision of conducive training environment that fulfill the basic needs of internship students to maintain passion for learning as well as commitment of internship students to nursing profession will improve the satisfaction level and quality of education, training, and practice. Also, incorporating internship students support system with motivation strategies are helpful tools to maintain exemplary performance of internship students during the training period.

Analyzing the determinants of sustainability of China Pakistan Economic Corridor (CPEC) projects: an interpretive structural modelling (ISM) approach

China Pakistan Economic Corridor (CPEC) is a game changer initiative of South Asian Pacific Rim. It has great importance for almost all Asian countries. Its success is expected to dictate the economic development of the stakeholders. The aim of this study is to evaluate the essential determinants deriving the sustainability of CPEC projects. The design of the study comprises of the review of literature, data collection, and analysis. Population under study is the folk of stakeholders of CPEC. Sampling envisages on purposive sampling design, i.e., 14 experts from within the stakeholders. Primary data is collected in the field setting through a survey questionnaire appropriate for the study. ISM is used for modelling and MICMAC for analysis and classification using inductive approach. The findings of the literature survey show that there are 23 prime determinants of sustainability of CPEC projects. The results of ISM show that 13 determinants are at Level-I, nine at Level-II, and one determinant namely "economic globalization" is at Level-III being the most critical and driving determinant. The findings of MICMAC show that only one determinant is classified in independent quadrant, and all the remaining determinants are in linkage quadrant, whereas, no determinant is shown in autonomous and/or dependence quadrant. But most of the determinants have potential to be classified in dependent and independent quadrants. It is intimately evident that the results of MICMAC corroborate the results of ISM. It is useful for folk of the stakeholders by way of developing an understanding about the multitude of determinants, intra-determinant relations, prioritizing the determinants for policy decisions, and/or for building future studies. This study has some limitations, e.g., the study uses qualitative approach and answers what and how questions that do not quantify the relations or tell the cause of indicated relations.

Does technology innovation matter for environmental pollution? Testing the pollution halo/haven hypothesis for Asian countries

China's GDP grew 9% annually during the end of the twentieth century. This economic growth degrades China's ecology, making it the world's greatest polluter. This position forced China to invest in developing nations and to take advantage of low-cost labor and increased pollution quotas from the World Trade Organization (WTO) to meet sustainable development objectives without environmental harm. The significance of this study is, first, this study examines the influence of Chinese outward foreign direct investment, gross domestic product, trade openness, technological innovation, and energy consumption on carbon emissions in Asian countries (Turkey, Pakistan, the Philippines, Singapore, India, Indonesia, and Cambodia). Secondly, the panel autoregressive distributed lag cointegration (ARDL) technique was used on data from 2000 to 2020 to investigate the pollution halo/haven hypothesis and environmental Kuznets curve hypothesis for south Asian nations. This analysis demonstrated that Chinese outbound foreign direct investment increases carbon emissions and confirms the pollution halo concept. Except for India and Pakistan, these nations show a U-shaped link between Chinese foreign direct investment and carbon emissions. So, policy implications recommended by the results of this study are foreign direct investment inflows with modern and ecofriendly technological transfer and enhancement in labor, and conservational management practices will benefit emerging countries to attain their sustainable development goals.

Exploring the mediating role of environmental strategy, green innovations, and transformational leadership: the impact of corporate social responsibility on environmental performance

This study examines the impact of corporate social responsibility (CSR) on environmental performance by utilizing data collected from ten big industrial organizations operating in Lahore, Pakistan. The research data was organized using the cross-sectional process. Of the 316 questionnaires completed by employees, 226 were considered valid, and these responses were used for further PLS analysis. The findings of the research indicate CSR has a moderate impact on environmental performance. Furthermore, the result revealed that green innovation, green capability, environmental strategy, and green transformational leadership are a better ecological performance example that could mediate CSR and environmental performance. This research study postulates the existing resource-based view (RBV) theory for overall directors of industrial organizations and representatives to achieve and manage CSR, green innovation, green capability, environmental strategy, and green transformational leadership to find optimal environmental performance. Thorough study will provide valuable inputs to the overall directors and managers of the enormous industrial sector to support their internal strategies such as CSR, green innovation, green capability, environmental strategy, and green transformational leadership to expand the environmental performance (to help directors, managers, policymakers, and executives to take appropriate/profitable decisions in the future).

Innovation capabilities in the convergence trend of higher education from the perspective of quality management

With changing trends and technology, the education system has evolved from a traditional to a modernized, qualitative, and innovatively sustained education system. Many factors contribute to process innovation and quality management benchmarks. This study has two primary goals: (1) determining the causal relationship between TQM and innovation capability, and (2) determining whether the exam, admission, and placement process have any effect on TQM and identifying whether TQM can act as a mediator between the admission, exam, and placement process and innovation capabilities. Furthermore, the study used TQM in multiple dimensions (quality management and leadership, staff interaction, institute productivity, and control and measurement of processes). As a result, the current study is the only one to look at TQM with its specific dimensions as a mediator, specifically in higher education. The survey and correlational methods were chosen to test the theoretical framework established using resource-based theory and explicitly based on structural equation modeling using Partial Least Square. A structured questionnaire based on a five-point Likert scale was also distributed to 350 professors (faculty members) from Chinese universities to assess the research constructs. The findings revealed that TQM positively and significantly impacts innovation capabilities. Besides, the admission, exam, and placement process is inextricably linked to TQM’s dimensions and innovation capabilities. TQM also mediated significantly, and all hypotheses tested supported the findings. Future researchers should look into collaborative innovation capabilities and compare teachers’ innovation capabilities in higher education, according to the study.