Suchergebnisse

For many years, improving air quality has been great attention of the whole world. It has been recognized that air pollution as a hypothetically hazardous type of environmental pollution and polluted air directly affects the human health. In Asian countries, it has converged less attention of ever growing most alarming and hazardous issue of air pollution. This paper presents a case study of Lahore city of Pakistan for the prediction of Air Quality Index (AQI) using hybrid approach of Neuro Fuzzy (NF) inference system. The ambient air data of Lahore was taken from the Environmental Protection | department (EPD) working under government of the Punjab. For results evaluation, data was recorded at different station in the period from April 2007 to May 2015. The fuzzy rules have been generated according to the Pakistan Environmental Protection Agency (PAK-EPA) standard of AQI. The NF Inference Model took the air pollutants such as Particulate Matter (PM2.5), Ozone (O3), Carbon Monoxide (CO), Sulphur Dioxide (SO2) and Nitrogen Dioxide (NO2) as inputs and predicted the air quality index as good, moderate, or unhealthy air. The results showed that NF based AQI prediction model classifies the AQI proficiently, robustly, and accurately as compared to conventional method.

This study measures the impact of the fairness of price, quality of food, and quality of service on revisit intention of Chinese restaurants' consumers, mediated by consumer satisfaction. Purposive sampling technique is used for data collection along with snowball sampling technique. Two hundred questionnaires were answered through online Google forms. The analysis of the collected data is executed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The descriptive statistics are analyzed by SPSS software, and the influential statistics are analyzed by Smart PLS software. The analyses' findings concluded that food quality has a highly noticeable impact on consumers' revisit intention. Quality of service and Fairness of price also has a prominent effect on the consumer's revisit intention. Limitations and recommendations are also mentioned at the end of the study.

Abstract

Background: Organisations in the contemporary workplace lack meaningful work and life, resulting in psychological and physical pain for workers. Employees seek organisations that align their daily work activities with society. Partially limited research exists on the relationship between corporate social responsibility (CSR) and employee work-related attitudes, especially with the mediating mechanism of employee work meaningfulness (EWM) and organisation identification (OID) in developing country contexts such as Pakistan. This study has used Social Learning Theory (SLT) and Social Identification Theory (SIT).

Methods: Data were collected through a sample of 154 employees in two waves from multiple sectors in Karachi, Pakistan, using non-probability, purposive sampling. The PLS-SEM, along with IBM-SPSS, was run for data analysis.

Results: The results demonstrated that Corporate social responsibility (CSR) has a significant positive relationship with employee work-related attitudes. CSR affects organisational citizenship behaviour (OCB) and pro-environmental behaviours (PEB) through the mediation mechanism of employee work meaningfulness (EWM) and organisational identification (OID).

Conclusion: This study contributes to the nascent literature by establishing that EWM and OID mediate the effect of CSR on OCB and PEB. Furthermore, this study utilizes two primary theoretical lenses and provides a novel contribution to the current literature. Finally, this study provides valuable insights to policymakers, businesses, and society.