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This paper aims to deal with direct torque controller when the five-phase induction motor drive in faulty operation. Precisely, open-phase fault condition is contemplated. Also, the DTC is combined with a speed-adaptive variable-structure observer based on sliding mode observer.

Two novel features are presented. First, the concept of the virtual voltage vector is presented, which eliminates low-frequency harmonic currents and simplifies analysis. Second, speed information is introduced into the selection of the inverter states.

Direct torque control (DTC) is largely used in traditional three-phase drives as a backup to rotor-stator flux-oriented methods. The classic DTC strategy was primarily designed on the base of hysteresis controllers to control two independent variables (speed, torque and flux). Due to the additional degrees of freedom offered by multiphase machine, extensive works have been extended on the ensemble five-phase drives in healthy operation. In addition, the ability to continue the operation in faulty conditions is considering one of the main advantages of multiphase machines. One can find in the literature different approaches treating this subject. The applicability of DTC after the appearing of a fault has not been enclosed in the literature.

Theoretical development is presented in details followed by simulation results using Matlab/Simulink to analyze the performance of the drive, comparing with the behavior during healthy situation.

This paper aims to explore the intention to adopt Islamic finance (ItIF) through the mediation of attitudes towards Islamic finance among microbusiness owners of Pakistan.

The study is co-relational and based on cross-sectional data. The authors gathered the data from microbusiness owners through a survey questionnaire. The authors used 236 valid cases to assume the outcomes.

The results through structural equation modeling reveal a significant positive effect of the perception of Shariah compliance (PoSC), knowledge of the Islamic financial system (KoIF), religious preferences (RP) and loyalty on ItIF. Furthermore, attitude towards Islamic finance (AtIF) is a potent factor in developing the relationship between PoSC, KoIF, RP, loyalty and ItIF.

The study’s findings would be helpful for planners and policymakers in developing policies that favourably enhance the attitudes and intentions among individuals towards Islamic financing. The results would inspire readers to go to Islamic finance and an interest-free financial system enriched with Shariah law or Islamic obligations. The study would provide implications for the financial institutions in Pakistan and the rest of the Muslim world.

The study offers an apparent thoughtfulness of the empirical evidence from microbusiness owners of Pakistan. The study would provide a plausible mediating contribution of AtIF.

When service failure occurs, it leads to dissatisfaction, lack of trust and avoidance behaviour among customers, and it can also be seen as a threat to the survival of the business. This paper aims to investigate the current and potential dynamics of service failure research within the tourism and hospitality area.

By adopting qualitative, quantitative (citation and text mining) and science-mapping tools (descriptive, conceptual and intellectual), this study analyses 99 key papers on service failure in 18 major hospitality and tourism journals over a 20-year span.

The research on service recovery strategies, recovery efforts, pre- and post-failure and post-recovery in the service encounter and the impacts of justice on post-recovery and post-complaint behaviour are identified as the major streams of service failure research. While emotional labour, rumination and satisfaction recovery were identified as emerging themes, service failure perceptions and social media were found as the developed and substantial trends.

This study presents a comprehensive understanding of service failure research development in the hospitality and tourism industry. This study propose three areas – circumstantial cues, interactional cues and crisis management – that practitioners need to understand to minimise service failure during the service interaction.

To the best of the authors’ knowledge, no prior bibliometric study has investigated the current and future dynamics of service failure in the hospitality and tourism industry and offered a research agenda based on this gap in the literature.

The purpose of this paper is to empirically examine the effects of financial liberalization and trade openness on the economic growth of two countries, namely, Pakistan and India for the period 1985-2014.

This study uses the autoregressive distributed lag technique, which allows mixed order of integration. In addition, it uses the principal component method to create an index for financial liberalization to examine how it affects the economic growth of the selected countries.

The findings reveal that in the short and long run, trade openness has positive effect on the Pakistan’s economic growth while the financial liberalization has positive impact only in the long run. In the case of India, both financial liberalization and trade openness positively and significantly influence the economic growth in the short and long run.

By comparing the results of both countries, trade openness and financial liberalization increase the economic growth of India more than that of Pakistan. These results suggest that Pakistan should consider appropriate positive policies regarding financial liberalization and trade openness to achieve high and stable economic growth in the future.

This study creates financial liberalization index by using the principal component analysis method to explain the role of financial liberalization in the economic growth of Pakistan and India. In addition, it makes comparison of the results based on which country benefits most from the liberalization of trade and financial sectors. Only very few studies have examined these countries, yet their results have remained inconclusive as well.

The purpose of this study is to propose a sustainable quality assessment approach (model) for the e-learning systems keeping software perspective under consideration. E-learning is becoming mainstream due to its accessibility, state-of-the-art learning, training ease and cost effectiveness. However, the poor quality of e-learning systems is one of the major causes of several failures reported. Moreover, this arena lacks well-defined quality assessment measures. Hence, it is quite difficult to measure the overall quality of an e-learning system effectively.

A pragmatic mixed-model philosophy was adopted for this study. A systematic literature review was performed to identify existing e-learning quality models and frameworks. Semi-structured interviews were conducted with e-learning experts following empirical investigations to identify the crucial quality characteristics of e-learning systems. Various statistical tests like principal component analysis, logistic regression, chi-square and analysis of means were applied to analyze the empirical data. These led to an adequate set of quality indicators that can be used by higher education institutions to assure the quality of e-learning systems.

A sustainable quality assessment model for the information delivery in e-learning systems in software perspective has been proposed by exploring the state-of-the-art quality assessment/evaluation models and frameworks proposed for the e-learning systems. The proposed model can be used to assess and improve the process of information discovery and delivery of e-learning.

The results obtained led to conclude that very limited attention is given to the quality of e-learning tools despite the importance of quality and its effect on e-learning system adoption and promotion. Moreover, the identified models and frameworks do not adequately address quality of e-learning systems from a software perspective.

Artemisinin-based combination therapies (ACTs) have been developed to treat uncomplicated malaria. However, scanty studies exist to inform the role of macro factors in explaining the nonavailability of ACT in developing countries. Therefore, this paper aims to evaluate the different macro-environment factors affecting the availability of ACTs in the public hospital setting.

This study applied a quantitative methodological approach and structural equation modeling (SEM) to test hypotheses statistically. SEM examines linear causal relationships among variables while accounting for measurement error. Confirmatory factor analysis (CFA) was used to assess model reliability. CFA and SEM were used to determine the shared variance-covariance of variables, define the latent construct and provide a more precise way to account for the error variances associated with the variables, which, if untested, could lead to biased parameter estimates. This was guided by the data collected from 40 general public hospitals with 283 respondents.

This study’s results support a model for promoting social-cultural, technological and legal factors. The availability of ACTs is significantly affected by legal factors. Improving legal aspects by a unit can enhance ACT availability by 0.59. Political factors scored the least, and they do not influence the availability of malaria drugs.

The design was quantitative and cross-sectional. Future research could be longitudinal with a mixed-method approach and consider other external stakeholders.

Reducing the impact of the nonavailability of antimalarial drugs in general public hospitals requires a holistic concerted and coordinated supply chain approach that tackles the political, economic, social-cultural norms, technological and legal factors.

The authors develop and test a model using macro factors: political, economic, social, cultural, technological and legal factors. This model is relevant for many developing countries to supply chain coordination perpetually experiencing medicine shortages.

Child malnutrition is a grave concern for Pakistan, as the country has one of the highest incidences of child stunting in the developing world. The present study examines the relative significance of parents' education on a child's nutritional status in Pakistan.

For analysis, the study has used data from Phase 7 of the Pakistan Demographic and Health Survey (PDHS) (2017–2018). Since the dependent variable ranges from 0 to 1 (1 indicates not a stunted child, while 0 represents a stunted child), binary logistic regressions are used for the analysis.

The results show that mothers' and fathers' education positively contributes to a child's nutrition. However, mothers' education is considered more significant, especially in the long run. The mother's education categories are positive and significant in the long run, while only their higher education is positive and significant for the father's. Moreover, the magnitude of the effect also shows that the probability of stunting is less if the mothers are educated. The long-run coefficient for mothers' higher education is 0.752, while that of fathers' higher education is only 0.232.

The present study compares the importance of mothers' and fathers' education in child nutrition and concludes that the role of the mother is more crucial for child upbringing. There are rarely any studies that focus on the role of fathers' education in child nutrition and compare whose role, mothers' or fathers,' is more important for child well-being.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-06-2023-0483

The purpose of this paper is to investigate the major determinants of China’s outward foreign direct investment (OFDI) in the economies along the “Belt & Road” Initiative (BRI afterward). China works on to advance the agenda of the BRI both at home and abroad. The BRI is set up to promote connectivity in five key areas: policy coordination, infrastructure connectivity, trade facilitation, financial cooperation and people-to-people contacts.

The existing literature is inconclusive with regards to the motives, patterns and determinants of the Chinese OFDI. The authors are, therefore, motivated to undertake this study to shed some new light on the influencing factors of the Chinese OFDI. The authors have made a unique data set that consists of China and its 64 partnering countries of the BRI over a time period of 12 years spanning from 2004 to 2015. This time period is chosen on the chief consideration of data availability. The authors have a balanced panel, and applied the gravity model in line with the theoretical arguments and econometric developments.

The paper assumes that China’s OFDI along the BRI was a function of gross domestic product (GDP), income per capita, distance and WTO. The findings showed that GDP, per capita income and distance were the key determinants of the OFDI. China’s entry into the WTO did not strongly affect the OFDI. China maintained a tradition of historical relationships along the BRI economies. After all, China is relocating its investment resources in line with the consideration of its partnering countries’ economic size, cross-border distance and per capita income.

This study is the first of its kinds to analyze the determinants of OFDI by means of gravity model. The authors have covered all the countries along the BRI. Hence, this paper aims to make a substantial contribution to the literature, both from a scientific and a policy perspective.

Predictive current control (PCC) of three-to-five-phase direct matrix converters (DMCs) is computationally expensive. For this reason, this study aims to consider a reduced number of switching states of DMC in PCC algorithm to predict the control objectives, such as output current control and input reactive power control.

The switching sequences which yield the voltage vectors of variable amplitude at a constant frequency in space are considered for the prediction and optimization step of PCC algorithm. For the selected voltage vectors, the phase angles of the output vectors are independent on the phase angles of the input vectors. In a three-to-five-phase DMC, there are 243 valid switching states. Among the switching states, only 91 states are considered using the aforementioned concept of variable amplitude output at a constant frequency. This reduced number of switching states simplifies the computational complexity of MPC based current control of three-to-five-phase DMC.

The computational complexity of the proposed PCC based DMC is lower than the all 243 vectors based PCC. The current total harmonic distortion, transient current response and input reactive power control for the simplified 91 vector based PCC are similar to the all 243 vectors based PCC.

A reduced number of switching sequence is considered for the prediction and optimization step of PCC algorithm. Hence, PCC algorithm can be sampled at a high frequency in real-time applications. Then, the performance of the PCC will be improved.