Search results

Each decision-making involves risk; therefore, risk is a strategic element in management and organization. In terms of risk management, the transformation process in organizations should be aimed at optimizing and improving the most important performance criteria such as cost, quality, flexibility and speed, rather than just as required by legislation. Transformation process has sustainability risks for organizations. ATO transformation process should be well designed. Process also should include clear steps to implement them. Sound and well-designed process will be useful for organizational performance and quality management. The management of the risks of conversion processes is vital for the continuation of operations without interruption. In aviation universities’ approved training organizations (ATOs), each system must be handled and processed separately. Transformation plans should be prepared considering the risks of each system. The purpose of this study is to develop process flowcharts of all systems in sustainable ATO transformation process from risk management perspective.

Flowchart method is useful to identify process risks in organizational system transformation. Flowcharts simplify communication and provide effective analysis of the process. Flowchart enables designing plan which is suitable for aimed results. Flowcharts method provides efficient coding and system analysis and program development phase also serves as a guide while debugging errors. In this study, flowcharts including all stages have been developed for transition to an ATO authorization. With these flowcharts, all elements of the process and the risks, threats and opportunities that may be faced can be proactively identified together. Thus, improvements will be possible to achieve the corporate objectives of the transformation and reorganization process and increase the corporate performance with optimum resource usage.

Flowcharts may contribute to the reorganization and transformation of processes in all aviation academies. In this sense, it provides infrastructure for future studies. New studies can be carried out for the reorganization of all departments in aviation. It is believed that this research will contribute to the aviation management literature. Flowchart is also called as process flowchart or process flow diagram. Flowchart is effective methodology to manage transformation process risk. Owing to clarify each step in transformation process, risks may be managed with timely decision-making by managers. In this research, five fundamental flowcharts have been developed in ATO system. These include all processes in transformation as preparation of manuals, new authority application, competent authority inspections, corrective and preventive actions, revalidation and fees in transformation process and its parts. Presented flowcharts may be useful to identify and manage process risk in initial phase as consent with proactive management style.

This research presents designed flowcharts for ATO transformation risk management process. This research may extend at other departments in aviation universities such as air traffic control, maintenance and management.

As a methodology, flowcharts can be considered as schematic algorithms. The flowchart is a detailed representation of the process to carry out a specific task. In this research, flowcharts have been developed for transformation process stages at ATO authorization. These flowcharts are useful for proactive identification of process elements and their risks – threats and opportunities. Thus, improvements will be possible to achieve the corporate objectives of the transformation and reorganization process and increase the corporate performance with optimum resource usage. Flowcharts may contribute to the reorganization and transformation of processes in all aviation academies. In this sense, it provides infrastructure for future studies. New studies can be carried out for the reorganization of all departments in aviation. It is believed that this research will contribute to the management and strategy literature with engineering.

ATO transformation process risk management has not been studied much in literature. The operational manuals of ATO's management and strategy planning prepare according to both legal regulations and handbooks of aviation authorities which obliged for ATO. It is anticipated that this original study may be useful for determining the risks of transformation processes of flight training departments of civil aviation universities and for good process design. Flowcharts may contribute to the reorganization and transformation of processes in all aviation academies. In this sense, this study provides infrastructure for future studies. New studies can be carried out for the reorganization of all departments in aviation. It is believed that this research will contribute to the aviation management literature. Flowchart is also called as process flowchart or process flow diagram. Flowchart is effective methodology to manage transformation process risk. Owing to clarify each step in transformation process, risks may be managed with timely decision-making by managers. The aviation universities operate with authorization. This research may contribute to their process management and strategy to complete their transformation and transition via risk management. Developed flowcharts present all necessary steps to become authorized as an ATO. This research may serve as a kind of framework guide for other aviation organizations to be used in their transformation/transition process.

Classification of remote sensing images (RSI) is a challenging task in computer vision. Recently, researchers have proposed a variety of creative methods for automatic recognition of RSI, and feature fusion is a research hotspot for its great potential to boost performance. However, RSI has a unique imaging condition and cluttered scenes with complicated backgrounds. This larger difference from nature images has made the previous feature fusion methods present insignificant performance improvements.

This work proposed a two-convolutional neural network (CNN) fusion method named main and branch CNN fusion network (MBC-Net) as an improved solution for classifying RSI. In detail, the MBC-Net employs an EfficientNet-B3 as its main CNN stream and an EfficientNet-B0 as a branch, named MC-B3 and BC-B0, respectively. In particular, MBC-Net includes a long-range derivation (LRD) module, which is specially designed to learn the dependence of different features. Meanwhile, MBC-Net also uses some unique ideas to tackle the problems coming from the two-CNN fusion and the inherent nature of RSI.

Extensive experiments on three RSI sets prove that MBC-Net outperforms the other 38 state-of-the-art (STOA) methods published from 2020 to 2023, with a noticeable increase in overall accuracy (OA) values. MBC-Net not only presents a 0.7% increased OA value on the most confusing NWPU set but also has 62% fewer parameters compared to the leading approach that ranks first in the literature.

MBC-Net is a more effective and efficient feature fusion approach compared to other STOA methods in the literature. Given the visualizations of grad class activation mapping (Grad-CAM), it reveals that MBC-Net can learn the long-range dependence of features that a single CNN cannot. Based on the tendency stochastic neighbor embedding (t-SNE) results, it demonstrates that the feature representation of MBC-Net is more effective than other methods. In addition, the ablation tests indicate that MBC-Net is effective and efficient for fusing features from two CNNs.

The current challenge for forecasting smart meters electricity consumption lies in the uncertainty and volatility of load profiles. Moreover, forecasting the electricity consumption for all the meters requires an enormous amount of time. Most papers tend to avoid such complexity by forecasting the electricity consumption at an aggregated level. This paper aims to forecast the electricity consumption for all smart meters at an individual level. This paper, for the first time, takes into account the computational time for training and forecasting the electricity consumption of all the meters.

A novel hybrid autoregressive-statistical equations idea model with the help of clustering and whale optimization algorithm (ARSEI-WOA) is proposed in this paper to forecast the electricity consumption of all the meters with best performance in terms of computational time and prediction accuracy.

The proposed model was tested using realistic Irish smart meters energy data and its performance was compared with nine regression methods including: autoregressive integrated moving average, partial least squares regression, conditional inference tree, M5 rule-based model, k-nearest neighbor, multilayer perceptron, RandomForest, RPART and support vector regression. Results have proved that ARSEI-WOA is an efficient model that is able to achieve an accurate prediction with low computational time.

This paper presents a new hybrid ARSEI model to perform smart meters load forecasting at an individual level instead of an aggregated one. With the help of clustering technique, similar meters are grouped into a few clusters from which reduce the computational time of the training and forecasting process. In addition, WOA improves the prediction accuracy of each meter by finding an optimal factor between the average electricity consumption values of each cluster and the electricity consumption values for each one of its meters.

current study intends to examine key human resources practices (human capital, training and rewards) that influence employee commitment and service recovery performance (SRP) of Takaful industry agents in Southeast Asian region. The Takaful industry is facing stiff competition with conventional insurance industry in Malaysia and Indonesia as the Southeast Asian region has a large Muslim population. SRP is crucial in insurance industry specifically in the Islamic Insurance (Takaful) industry and plays a vital and key role in sustainable competitive advantage for value addition for firms in future to acquire market.

The data was collected from 350 front line agents of the Takaful industry operating in Malaysia and Indonesia on convenience sampling technique. Data was analyzed by using PLS-SEM to examine the relationship between constructs.

The results show that human capital, training and reward significantly influence commitment of employee which further influenced SRP to be improved. Mediation effect was also found to be influential and statistically positive and significant by employee commitment between key HR practices (human capital, training, rewards) and SRP.

current study contributed to the body of knowledge in explaining relationship of human capital to employee commitment and SRP, further, inconclusive findings between training and rewards was also explained in the Takaful industry of the Southeast Asian region.

Soft total quality management (STQM) practices are essential for promoting value-added organizational citizenship behaviour (OCB) among employees in quality-focussed manufacturing firms. This study intends to investigate how STQM practices (empowerment, training, teamwork and involvement) affect OCB under the moderating influence of collectivism among employees for excellence in business performance using social exchange and social cognitive theories (SET-SCT).

A total of 245 useable surveys were gathered from manufacturers. Given the importance of the two-staged structural equation modelling–partial least squares–artificial neural networks (SEM-PLS-ANN) technique, this study used a two-staged SEM-PLS-ANN analysis to capture both linear and compensatory PLS models and nonlinear and noncompensatory ANN models.

The findings confirmed that empowerment, involvement and training had a significant impact on OCB. However, teamwork had no impact on OCB. Interestingly, collectivism was found to have a significant and positive moderating effect on training and OCB.

The study contributes significantly to the literature on TQM and human resource management. First, the study broadens researchers’ understanding of how to apply SET by including a collective value from SCT as positive reciprocity to foster positive workplace behaviour. Second, the authors offer a solid management strategy for organizations to assist them in understanding an STQM model that promotes OCB while including collectivism for superior business performance.

The purpose of this study to understand the effects of training and creativity on organizational innovation under the moderating influence of the organizational climate.

The theoretical model is grounded in the contingent resource-based view. To test the research hypotheses, this paper has gathered the cross-sectional data using a single informant pre-tested questionnaire. The data were collected from respondents working in Indian automotive manufacturing organizations. The data were further tested for the normality criteria followed by hypotheses testing using co-variance-based structural equation modelling Statistical Package for Social Sciences (SPSS), 2010.

The relationship between training and organizational innovation was leveraged by employee creativity, which acts as a mediator between the two. Moreover, the organizational climate augments the mediation process by coherently creating a positive moderating influence.

This study provides prospective insights to management leaders and practitioners by establishing how training can bring about positive change in the innovative front of the organization. It also offers keys to the organizations for an active engagement of the employees through a supporting climate conducive for harnessing of individual creativity and innovative potential.

This is the first endeavour made to examine the moderated mediation influence of organizational climate on training and employee creativity, by studying the mediating effect of employee creativity between training and organizational innovation.

The purpose of this paper is to present the deficiencies in teamwork skills at Jordan hospitals as seen by team members. The study aims to identify training needs to improve teamwork-related soft skills of caregivers to enhance staff satisfaction and improve quality of care. Moreover, the paper provides a methodology to identify the training needs in any healthcare workplace by repeating the same questionnaire.

A self-administrated questionnaire was designed to study deficiencies in teamwork and team leadership at Jordan hospitals as seen by team members. Surveyed care providers included physicians, nursing and anesthesiologists operating in emergency departments, surgical operating rooms and intensive care units from various hospitals.

With a response rate of 78.8 percent, statistical analysis of collected data of opposing staff members revealed low levels of satisfaction (40.7-48 percent opposing), lack of awareness on the impact of teamwork on quality of care (15.6-22.1 percent opposing), low levels of involvement of top management (27.1-57.3 percent opposing), lack of training (52.5-69.8 percent opposing), lack of leadership skills (29.8-60 percent opposing), lack of communication (22.3-62.1 percent opposing), lack of employee involvement (37.6-50.8 percent opposing) and lack of collaboration among team members (28.6-50 percent opposing). Among the many, results illustrate the need for improving leadership skills of team leaders, improving communication and involving team members in decision making.

Several studies investigated relationships between teamwork skills and quality of care in many countries. To the authors’ knowledge, no local study investigated the deficiencies of teamwork skills among Jordan caregivers and its impact on quality of care. The study provides the ground for management at Jordan hospitals and to healthcare academic departments to tailor training courses to improve teamwork skills of caregivers. Data of this study are collected from the society who is working in the field of healthcare. As the results of this are produced from a real data, it is expected that applying the recommendations will impact the society positively by enhancing the patients’ satisfaction.

Consumer expectations of quality have grown in recent years, forcing organisations, both service and manufacturing, to adopt total quality management (TQM) principles to satisfy customer demands efficiently. However, previous studies on the performance impacts of total quality management practices have mainly focused on the financial performance of firms in the manufacturing sector. This study focusses on the research questions: (1) What is the effect of TQM practices on operational performance? and (2) How do TQM practices combine to influence the operational performance of healthcare facilities?

Using a sample of 154 health facilities (i.e. private hospitals, pharmacies, maternity clinics, and diagnostic centres), the authors applied symmetric (PLS-SEM) and asymmetric (fsQCA) data analysis approaches to examine how TQM practices influence the operational performance of health facilities in the Ashanti Region of Ghana.

The PLS-SEM results revealed that five out of the seven TQM practices investigated influenced operational performance. However, the fsQCA results identify five different complex combinations of TQM practices that lead to operational performance.

Longitudinal studies can be conducted in the future to assess changes in the variables over time. A control variable, such as firm size, should be considered to assess the level of implementation of TQM practices based on firm size. A different performance measure, for instance, sustainability indicators or the balance score card, could be used to examine performance.

A proper and coordinated integration of the TQM practices is required for firms to be able to achieve operational performance. TQM practices vary in their sufficiency for operational outcomes; therefore, management needs to carefully consider their implementation as part of the organisation's strategy.

This research, by focussing on TQM practices from both symmetrical and asymmetrical perspectives, contributes to the understanding of the literature on TQM, thereby providing actionable insight on how to invest in the various TQM practices for improved operational performance.

The main purpose of this study is to examine the impact of imported inputs on firms' productivity in selected South Asian economies, namely Pakistan, India and Bangladesh. Furthermore, this study explores the complementarity between firms' capabilities and imported inputs in an augmented productivity framework.

A dataset comprising 7117 manufacturing firms of selected South Asian economies was taken from the World Bank for 2013 and 2014. The empirical analysis was based on stochastic frontier models, the ordinary least square method and instrumental variable estimation techniques.

The empirical results show that imported inputs have positive and significant effects on the firms' productivity in the selected countries. Moreover, the study findings demonstrate that firms' capabilities play a complementary role in expanding the firms' production frontier.

The study outcomes suggest that reducing tariffs on imported inputs will enhance the firms' productivity in the selected emerging economies. However, the study further finds that the potential gain of imported inputs is conditional on the firm's capabilities. It implies that firms operating in these countries can improve their performance by allocating more resources to capabilities, such as workers’ training, management and internal R&D effort.

The existing literature on the subject is sceptical about the positive impact of imported inputs on firms' productivity in the case of developing countries. In this regard, the shortage of skilled labour and firms' capabilities are compelling rationales that need to be explored. Thus, the potential contribution of the study lies in explaining the moderating role of firm's capabilities operating in the selected emerging economies in the nexus of imported inputs and productivity.

This study aims to assess how Japanese employees perceive their changing work environment.

The perceptions of Japanese white‐collar employees towards defined aspects of their work environment were tested and compared in a sample set of Japanese, European and US financial securities companies operating in Japan, in order to find which international model provided the highest evaluations.

Results revealed that employees in Japanese companies displayed significantly higher levels of understanding of company goals and objectives than their counterparts in the foreign companies. Employees in Japanese companies also evaluated their training significantly higher than their counterparts in European companies. However employees in European companies rated their future prospects significantly higher than their counterparts in Japanese and US companies. Perceptions of Japanese employees of US and European companies provide mixed results which should be of serious concern to foreign companies aiming to integrate and motivate Japanese workers.

The paper shows that despite the trend towards the “westernization” of the work environment in Japan, key elements of the Japanese model remains highly‐rated.