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1 – 4 of 4The impact of mankind on the environment and the usage of natural resources might be influenced by spirituality, through the consciousness of creating an improved moral sense…
Abstract
Purpose
The impact of mankind on the environment and the usage of natural resources might be influenced by spirituality, through the consciousness of creating an improved moral sense regarding the consequences of human activities and the necessity to alter these to achieve sustainable development. However, the spiritual element in the form of ecospirituality (ES) has not been sufficiently considered in pro-environmental studies as it relates to the influence of green training (GT) on voluntary workplace green behaviour (VWGB) in the construction sector. This study aims to determine the effect of GT on VWGB and the mediating effect of ES on the relationship between GT and VWGB on construction projects.
Design/methodology/approach
This study’s data were gathered through a questionnaire survey of construction site managers and project managers by adopting the probability sampling method. 249 appropriately completed questionnaires were returned. The data obtained were analysed by means of the partial least squares structural equation modelling technique (PLS-SEM).
Findings
The outcomes of the study show that GT has a significant positive impact on VWGB, while ES has a significant mediating effect on the relationship between GT and VWGB, both supporting the study’s hypotheses.
Practical implications
These findings point to the fact that the hitherto conflicting results reported in earlier studies on the GT–VWGB relationship can be attributed to the lack of consideration given to ES. Hence, special attention should be given to ES.
Originality/value
This research presents actions to enhance the transformation of GT into VWGB by giving due consideration to ES, which was not taken into account in previous studies.
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Flavian Emmanuel Sapnken, Mohammed Hamaidi, Mohammad M. Hamed, Abdelhamid Issa Hassane and Jean Gaston Tamba
For some years now, Cameroon has seen a significant increase in its electricity demand, and this need is bound to grow within the next few years owing to the current economic…
Abstract
Purpose
For some years now, Cameroon has seen a significant increase in its electricity demand, and this need is bound to grow within the next few years owing to the current economic growth and the ambitious projects underway. Therefore, one of the state's priorities is the mastery of electricity demand. In order to get there, it would be helpful to have reliable forecasting tools. This study proposes a novel version of the discrete grey multivariate convolution model (ODGMC(1,N)).
Design/methodology/approach
Specifically, a linear corrective term is added to its structure, parameterisation is done in a way that is consistent to the modelling procedure and the cumulated forecasting function of ODGMC(1,N) is obtained through an iterative technique.
Findings
Results show that ODGMC(1,N) is more stable and can extract the relationships between the system's input variables. To demonstrate and validate the superiority of ODGMC(1,N), a practical example drawn from the projection of electricity demand in Cameroon till 2030 is used. The findings reveal that the proposed model has a higher prediction precision, with 1.74% mean absolute percentage error and 132.16 root mean square error.
Originality/value
These interesting results are due to (1) the stability of ODGMC(1,N) resulting from a good adequacy between parameters estimation and their implementation, (2) the addition of a term that takes into account the linear impact of time t on the model's performance and (3) the removal of irrelevant information from input data by wavelet transform filtration. Thus, the suggested ODGMC is a robust predictive and monitoring tool for tracking the evolution of electricity needs.
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Nodirbek Bakhromzhon Ugli Anvarjonov, Ki-Hyun Um, DeYu Zhong and Eun-Kyu Shine
The principal research objective entails examining the nexus between green supplier selection and green performance while scrutinizing the moderating role of governance…
Abstract
Purpose
The principal research objective entails examining the nexus between green supplier selection and green performance while scrutinizing the moderating role of governance mechanisms, specifically process control and outcome control, in shaping this association.
Design/methodology/approach
To assess our hypotheses, this study obtained data from Chinese manufacturing sectors and utilized regression analysis on a dataset consisting of 295 samples.
Findings
This study enriches the sustainable supply chain management literature by emphasizing the influence of green supplier selection on a firm’s green performance and the moderating effects of outcome and process control, offering practical insights for industry professionals.
Originality/value
This study enriches the sustainable supply chain management literature by emphasizing the influence of supplier selection on a firm’s environmental performance and the moderating effects of outcome and process control, offering practical insights for industry professionals.
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The author identifies the traits of consumer resilience in emerging markets, classifies these major traits into five categories and analyses the influence relationships among them…
Abstract
Purpose
The author identifies the traits of consumer resilience in emerging markets, classifies these major traits into five categories and analyses the influence relationships among them with distinctive focus on the psychological and personal resilience aspects.
Design/methodology/approach
The influence relations among the traits of consumer resilience from an expert perspective were identified with typical focus on electronic supply chains, and later the same was analysed through an intelligent influence modelling method, the grey causal modelling (GCM).
Findings
The major traits were analysed using the GCM, where the cause–consequence relations were observed for various objectives and the situational effects are noted. By constructing a magnitude plot and further a causal magnitude table, the important influence traits of consumer resilience for the considered case were observed and the same were auxiliary validated using an interpretive structural modelling (ISM) based approach.
Research limitations/implications
As perceived from the results, it is evident that social support and recommendations from customers emerge as the principal influence traits of consumer resilience from an expert perspective, considering the case. The study can be further extended empirically to validate the findings.
Practical implications
Altogether, the author can recommend for practitioners that the influence of family, society, friends, peers as well as ratings from the customers can determine the level of consumer resilience. Hence, practitioners of customer relationship management can focus on improving the product and brand awareness among customers, so that more customers may recommend for typical products.
Originality/value
Consumer resilience depend on several factors, where the author has identified 25 major traits of the same and classified them into five major categories, including individual psychological factors, individual attitudes, individual socio demographic factors, micro environmental factors and macro environmental factors and the influence relations among them were studied from an expert perspective.
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