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1 – 5 of 5This study seeks to provide a robust piece of evidence of forest depletion in Ghana and its associated driver intensities to inform national policy decisions towards achieving…
Abstract
Purpose
This study seeks to provide a robust piece of evidence of forest depletion in Ghana and its associated driver intensities to inform national policy decisions towards achieving Sustainable Development Goal (SDG) 15 and beyond.
Design/methodology/approach
Using a representative sample size of 733 households, which was obtained with the aid of a structured questionnaire, a descriptive analysis is used to show the evidence of forest depletion. For robustness purposes, the geographic information system (GIS) is used to provide a piece of remote sensing evidence to substantiate the claim. In addition, an ordered probit regression model is estimated given the ranked nature of the responses to determine the drivers of forest depletion.
Findings
The results provide evidence that the urban forests in the Greater Accra Region (GAR) of Ghana have been depleted. Overall, 44% argued that the depletion of the forests is high, 30% indicated that the depletion is moderate, while 26% indicated that the depletion is low. Consistent with the literature, the ordered probit regression results show that human behaviour, climate change and institutional failure are the driver intensities of forest depletion in the Region. Besides, the authors find an increasing order effect for all three drivers. Using a descriptive analysis, majority of the respondents posited that human behaviour is the main driver intensity, followed by climate change and then institutional failure. This study recommends the need for education and advocacy, community participation, law enforcement, resource mobilization, modern adaptation strategies and internalization of externalities as a way of controlling the drivers of forest depletion.
Originality/value
The study uses remote sensing techniques to provide empirical evidence of protected forest depletion in the GAR, Ghana. In addition, an ordered probit regression is used to identify the driver intensities that explain the depleted protected forests in the region.
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Keywords
Hannah Vivian Osei, Felicity Asiedu-Appiah and Perpetual Akosuah Anyimaduah Amoah
A major paradigm shift focusing on the dark side of leadership has generated lots of concern for organizations as leadership has cascading effects on employees’ behaviour. This…
Abstract
Purpose
A major paradigm shift focusing on the dark side of leadership has generated lots of concern for organizations as leadership has cascading effects on employees’ behaviour. This study aims to understand negative behaviours in the organization as a system of interrelated interaction initiated from the top which trickles down to employees.
Design/methodology/approach
Drawing on the theories of social exchange and norms of reciprocity, social learning and displaced aggression, this study models how and when abusive supervision relates to employees’ task performance. The model is empirically tested and extended to cover mediation and moderation processes. Drawing data from 218 bank supervisors and employees, this study uses the structural equation modelling to analyse a trickle-down model of abusive supervision.
Findings
Results from multi-waved, multi-sourced data indicated a mediating effect on the abusive supervision–performance relationships and provided support for employees’ guilt proneness and emotional dissonance as moderators. Overall, the results provided support for a moderated mediation relationship in the trickle-down model.
Originality/value
This study provides new knowledge into the potential boundary conditions of employees’ guilt proneness and emotional dissonance in affecting the relationship between abusive supervision, counterproductive work behaviour and task performance.
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Chiehyeon Lim, Min-Jun Kim, Ki-Hun Kim, Kwang-Jae Kim and Paul P. Maglio
The proliferation of (big) data provides numerous opportunities for service advances in practice, yet research on using data to advance service is at a nascent stage in the…
Abstract
Purpose
The proliferation of (big) data provides numerous opportunities for service advances in practice, yet research on using data to advance service is at a nascent stage in the literature. Many studies have discussed phenomenological benefits of data to service. However, limited research describes managerial issues behind such benefits, although a holistic understanding of the issues is essential in using data to advance service in practice and provides a basis for future research. The purpose of this paper is to address this research gap.
Design/methodology/approach
“Using data to advance service” is about change in organizations. Thus, this study uses action research methods of creating real change in organizations together with practitioners, thereby adding to scientific knowledge about practice. The authors participated in five service design projects with industry and government that used different data sets to design new services.
Findings
Drawing on lessons learned from the five projects, this study empirically identifies 11 managerial issues that should be considered in data-use for advancing service. In addition, by integrating the issues and relevant literature, this study offers theoretical implications for future research.
Originality/value
“Using data to advance service” is a research topic that emerged originally from practice. Action research or case studies on this topic are valuable in understanding practice and in identifying research priorities by discovering the gap between theory and practice. This study used action research over many years to observe real-world challenges and to make academic research relevant to the challenges. The authors believe that the empirical findings will help improve service practices of data-use and stimulate future research.
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