Kwasi Dartey-Baah, Samuel Howard Quartey and Kwame Gyeabour Asante
The purpose of this paper is to establish a relationship between pay satisfaction and leader–member relationship and examine pay satisfaction as a moderator of the relationship…
Abstract
Purpose
The purpose of this paper is to establish a relationship between pay satisfaction and leader–member relationship and examine pay satisfaction as a moderator of the relationship between toxic leadership and LMX among public sector nurses in Ghana.
Design/methodology/approach
Using a cross-sectional survey approach, the authors used questionnaires to collect data from 225 nurses working in public hospitals in Ghana. The hypotheses were tested using covariance-based structural equation modelling.
Findings
The results of this study revealed that pay satisfaction levels of nurses had an influence on leader–member exchange (LMX). The results further showed that pay satisfaction as a moderator of the relationship between toxic leadership and LMX was not statistically significant.
Research limitations/implications
Cross-sectional surveys are often criticised for causality issue. The causality issue here is that the link between toxic leadership, pay satisfaction and LMX was explored at a given point in time and ignores changes through time.
Practical implications
Hospitals must encourage their leaders to demonstrate more supportive and positive behaviours to foster positive leader–member relationships. Maladjusted, malcontent and malevolent leadership behaviours are dangerous for nurses and hospitals and can be addressed through leadership training and development.
Social implications
Toxic leadership has considerable organisational costs of low productivity and negative work relationship at the workplace. The indirect effects of toxic leadership at the workplace on employees’ families and friends are often silent in organisations.
Originality/value
Nurses have been ignored in toxic leadership research in emerging economies. LMX is extended to examine toxic leadership and pay satisfaction in public hospitals in an emerging economy.
Details
Keywords
Maame Ekua Kwansima Hayfron, Nana Kojo Ayimadu Baafi and Kwame Gyeabour Asante
The purpose of this research is to address the importance of human resource development (HRD) and its resultant climate in an organization. Specifically, the study examines the…
Abstract
Purpose
The purpose of this research is to address the importance of human resource development (HRD) and its resultant climate in an organization. Specifically, the study examines the cause-effect relationship between HRD climate and organisational citizenship behaviour (OCB), as well as the role of organisational trust in this relationship. The study is underpinned by the social exchange theory.
Design/methodology/approach
The study adopted the quantitative research approach and the cross-sectional survey design in data collection. Two hundred seventy-four employees were sampled from the food manufacturing sector, out of which 219 responded. Data was entered using SPSS v.23 and analysed with Pearson’s Product correlation, hierarchical regression analysis and independent t-test. The mediation effect was analysed using Process Macro v 3.5 for SPSS.
Findings
Results indicate that HRD climate has a positive effect on OCB, hence, a predictor. Also, HRD climate was observed to be a predictor of organisational trust and that organisational trust mediates the cause and effect relationship between HRD climate and OCB. This study recommends that management continues to invest in the development of employees as it goes a long way to ensure the survival and growth of the organisation.
Originality/value
To the best of the authors’ knowledge, this study is the first of its kind to examine the interplay between HRD climate, trust and OCBs.
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Moses Asori, Emmanuel Dogbey, Anthony Kwame Morgan, Solomon Twum Ampofo, Robert Kwame Jumah Mpobi and Daniel Katey
The study aimed to use geographic information system (GIS) based multi-criteria decision making analysis (GIS-MCDA) to select areas suitable for siting landfills in Ashanti…
Abstract
Purpose
The study aimed to use geographic information system (GIS) based multi-criteria decision making analysis (GIS-MCDA) to select areas suitable for siting landfills in Ashanti region. It also sought to ascertain variables most sensitive to the siting of landfill in the region.
Design/methodology/approach
This study utilized GIS-based Multi-criteria decision making analysis –AHP to model and select areas most suitable to siting landfills within the region. Overall, 16 variables including wind speed and hydraulic conductivity (which were previously neglected in landfill siting in Ghana) were identified through comprehensive literature review. These variables were weighted using AHP method and integrated using the weighted linear combination (WLC) in GIS environment to develop five sub-models: the physical environmental, sociocultural, economic/technical, climatic and hydrogeological sub-models. These sub-models were further weighted and then integrated to derive the final suitability model.
Findings
Results show that 13% (3,067 km2) of the region was identified as most suitable to siting engineered landfills. The study also identified 11 sites which are considered most suitable for situating landfills. On a sensitivity angle, hydrogeological (R2 = 0.5923; p = 0.003) and physical environmental sub-model (R2 = 0.254; p = 0.034) significantly predicted the final suitability model developed.
Practical implications
Ghana's Landfill Guidelines seeks to optimize site selection and ancillary services that culminate into achieving sanitary landfills by 2020. Evidence still abounds on the unsuitability of existing and in some cases, new landfill sites presenting environmental and social negative impacts. The comprehensive evaluation of most crucial variables – social and environmental factors that determine an optimal landfill location – will be of immense help to policy planners like the Environmental Protection Agency (EPA) towards upgraded landfills. The authors hope that, concerned agencies will adopt the model in the study and integrate into their existing landfill suitability modeling techniques to provide a more grounded framework that optimizes landfill site selection within the study area.
Originality/value
This study is the first attempt to consider a regional-level waste collection site selection in Ghana using comprehensive sets of social and environmental factors and will therefore contribute immensely to EPA's goal of achieving upgraded landfills by 2022.