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The purpose of this study is to evaluate the reliability of the technique for estimating solar radiation in areas of rough topography and to detect the source of error and means for improvement.

Spatial data of the study area in the form of digital elevation model (DEM) coupled with geographic information system (GIS) were used to estimate the monthly solar radiation at locations with rough topography. The generated data were compared with measured data collected from all the selected locations using NASA data.

The results show that the variation in topographic parameters has a strong influence on the amount of solar radiation received by two close locations. However, the method performed well for solar radiation estimated in the areas of rough topography.

The proposed approach overestimates the monthly solar radiation as compared with NASA data due to the impact of topographic parameters accounted for by the model which are not accounted by conventional methods of measurements. This approach can be improved by incorporating the reflected component of radiation in the model used to estimate the solar radiation implemented in the GIS.

The approach of using GIS with DEM to estimate solar radiation enables to identify the spatial variability in solar radiation between two closest locations due to the influence of topographic parameters, and this will assist in proper energy planning and decision making for optimal areas of solar photovoltaic installation.

This study aims to propose a sensitivity-based methodology for the optimum accommodation of distributed generation (DG) units in meshed power networks with appropriate technologies. The effect of load variation is incorporated into the proposed methodology to identify the most trusted locations for DG placement.

The effectiveness of minimizing active power losses is considered a key criterion. A priority list comprising both sensitivity indexes and realistic indicators is deduced to rank the optimum sites for the placement of DG units. A sorting index for distinguishing the suitable DG type(s) for each candidate location is organized. Three common DG types are considered in this work. The modified IEEE 30-bus meshed system is chosen to perform the proposed methodology.

Results demonstrate that the obtained priority index can be used to achieve the best real loss minimization rates. Numerous load buses can be safely excluded as candidate locations using the proposed approach. Consequently, the methodology can minimize the computational process of diagnosing the optimum sites for DG accommodation.

The findings determine that instead of installing many DG units at various locations with one DG type, a few certain load buses can be used to accommodate more than one DG type and significantly reduce losses.

This paper aims to identify the relationship between organizational learning culture, psychological contract breach, work engagement, training simulation and transfer of training, to examine the effect of transfer of training on organizational citizenship behaviour and to determine the mediating effect of transfer of training on the relationship between organizational learning culture, psychological contract breach, work engagement and training simulation with organizational citizenship behaviour. This study investigated these relationships in the context of public sector organizations in Malaysia.

The data for this study were collected by using the purposive sampling from Malaysian Civil Defence Force or Angkatan Pertahanan Awam (APM) employees who attended a disaster preparedness training programme between March to May 2015. The questionnaire was the main tool for the data gathering. The data were analysed using structural equation modelling technique using AMOS 22 version software.

The findings showed that work engagement and training simulation are the factors that influence the transfer of training, and there is a positive effect of the transfer of training on the organizational citizenship behaviour. The result also demonstrated that the transfer of training is the mediator in the relationship between work engagement, training simulation and organizational citizenship behaviour.

This study focuses on public sector areas which is Malaysia Civil Defense Force (APM). No interview session was conducted due to the time constraint in completing this study.

This study extends the existing understanding of factors that influence transfer of training and the effect of transfer of training on employees and organization. In other words, through the positive transfer of training, organizations not only attain positive returns on their training investment but also improve the performance and the work attitude of the organization’s employees.

The purpose of this paper is to examine the effect of grit (consistency of interest and perseverance of effort) on entrepreneurial career success (career satisfaction, perceived career achievement and perceived financial attainment) through the role of resilience.

The study was cross-sectional, and the data were collected using questionnaires from 111 entrepreneurs in Nigeria who have been in business for over five years and were selected using purposive sampling technique. The study used Smart-PLS to assess the measurement and structural model.

The perseverance of effort was related to all the aspects of career success as well as resilience. But consistency of interest was positively related to only perceived financial attainment. It also predicted resilience. Resilience was also related to all the facets of career success. All three mediation hypotheses were supported.

The study delivered fascinating understandings into the structures of grit. The Western conceptualisation of grit may not be valid in a collectivist society where consistency is not that very much considered.

The study helps to further validate grit in the entrepreneurship field; the construct is a facilitator of entrepreneurial action and an indispensable source of energy that can revitalise the entrepreneur along the arduous road to success.

The two components of grit can have a dissimilar influence on different outcomes – as prior investigations, although recognising that the two components are conceptually dissimilar, have rarely studied them so empirically.

The existing literature reflects that the connection between enablers of Industry 4.0 (I4.0), Supply Chain (SC) sustainability and reliability is understudied. To cover this gap, the purpose of this study is to identify and benchmark the enablers of I4.0 for SC sustainability to build a Reliable Supply Chain (RSC).

This study benchmarks the I4.0 enablers for SC sustainability for building a RSC and analyses them with a multi-method approach. The identified potential enablers are validated empirically. A multi-method approach of Analytical Hierarchy Process (AHP), Decision Making Trial and Evaluation Laboratory (DEMATEL) and Preference Ranking for Organization Method for Enrichment Evaluation (PROMETHEE-II) was used to investigate the influence of the identified benchmarking enablers and develop an interrelationship diagram among the identified enablers.

This study benchmarks the potential enablers of I4.0 to achieve high ecological-economic-social gains in SCs considering the Indian scenario. Digitalization of the supply chain, decentralization, smart factory technologies and data security and handling are the most prominent enablers of I4.0 for SC sustainability to build a RSC.

The findings from the study may benefit managers, practitioners, specialists, researchers and policymakers interested in I4.0 sustainability applications.