Investing in a sustainable future has no alternative; the healthcare sector in developing countries has failed to achieve sustainability objectives. Knowledge management (KM) is a concrete application of sustainability in healthcare, as organizations (hospitals) that manage their knowledge assets will gain sustainable competitive advantage. Several organizations in developed countries are moving towards the adoption of knowledge management so that they can manage their knowledge well and improve their performance. Due to the effective implementation of KM in developed countries, developing countries are also considering adopting KM in their healthcare. In this study, an attempt has been made to identify the drivers of KM adoption in public and private hospitals of Pakistan. With the help of an extensive literature review and expert opinion, the drivers were identified and a hierarchical structure was developed. Nineteen drivers were identified and screened out by experts. The experts identified the contextual relationships between the drivers during a brainstorming session. The hierarchical model of the drivers for KM in the healthcare of Pakistan was eventually developed using interpretive structural modeling (ISM). The structure has 10 levels, in which “developed competitive advantage” formed the foundation of the structure and “job creation” and “improvement in the reputation of healthcare” formed the topmost level. The “Matrices d’Impacts Croises Multiplication Appliqué a un Classement” (MICMAC) analysis classified the drivers by categorizing them according to their driving and dependence powers. One driver is identified as autonomous, six drivers as dependent, seven drivers as linkage, and five drivers as independent. The analysis of KM drivers will provide a good understanding of the interdependence and interactions between them and support the effect adoption of KM in developing countries especially in Pakistan.

Knowledge management (KM) adoption is crucial to integrating sustainable development within the healthcare sector. Different barriers, enablers, and drivers affect KM adoption. Identifying these barriers, enablers, and drivers and their role in KM adoption is the core of successful KM adoption. However, there is scarcity of studies applying quantitative models and combing barriers, enablers and drivers to check their effect on KM adoption, especially form a developing country’s perspective such as Pakistan. Therefore, this study explores the role of barriers, enablers and drivers on KM adoption in Pakistan. Healthcare professionals participated in the data collection process, and results were analyzed using structural equation modeling. The findings described that: (1) organizational and strategic barriers have significant negative association with KM adoption; (2) government related enablers have significant positive association with KM adoption; (3) healthcare related drivers, and performance-based drivers have significant positive association with KM adoption. This study concludes that government intervention to promote KM adoption is necessary especially in developing countries. These findings will be helpful for the healthcare professionals and policy makers to promote KM adoption in healthcare sector. Current study contributes to the healthcare literature and body of knowledge by providing the empirical evidence of checking the quantitative effect of barriers, enablers and drivers on KM adoption.

Knowledge management (KM) is the source for creating a sustainable competitive advantage, and it helps the organizations to retain, develop, organize and utilize their knowledge. Due to globalization, the organizations must maintain their knowledge assets to survive. Many organizations have realized the potential of KM and are applying it. Since the healthcare industry is growing significantly, it is continuously generating a wealth of knowledge. This knowledge can be recorded, communicated and used by many health care professionals with the help of KM. There is a wealth of research on KM in healthcare of developed countries, but very few studies regarding KM implementation can be found in developing countries i.e., Pakistan. Pakistan is now looking towards the implementation of KM; it is in its initial stages. The implementation of KM in the healthcare of Pakistan is affected by different barriers. In this study, the barriers will be identified and analyzed. An interrelationship between the barriers will be determined, and how the different barriers support each other (driving power), and how they influence each other (dependence power). The results of interpretive structural modeling (ISM) and MICMAC (Matrice d’Impacts croises-multipication appliqué an classment i.e., cross-impact matrix multiplication applied to classification) approach show that lack of support from top management, insufficient strategic planning and lack of support from organizational structure are the main barriers to KM adoption in the healthcare of Pakistan. This study provides a solution in determining the main barriers that need to be solved first, and to ensure effective implementation of KM in the healthcare of Pakistan.

The silicon carbide (SiC) MOSFET is characterized by high operating voltage, temperature, switching frequency and efficiency which enables a converter to achieve high power density. However, at high switching frequency, the crosstalk phenomenon occurs when the gate voltage spike introduced by high dv/dt and voltage ringing forces false turn-on of SiC MOSFET which causes a crow-bar current thereby increasing switching losses. In order to increase the immunity against the crosstalk phenomenon in a half-bridge configuration, this paper presents a gate driver for SiC MOSFET capable of generating the negative turn-off voltage without using a negative power supply. In addition, the effect of parasitic inductances on the switching response is analyzed and an RC snubber is designed using high-frequency based circuit reduction technique to dampen the switching ringing. The performance of the proposed gate driver and the designed RC snubber is validated using simulation and experiment at the 1 MHz switching frequency. The results show that the proposed gate driver with RC snubber eliminates crosstalk by maintaining any spurious gate spike below the gate threshold voltage.

A novel autotransformer configuration for 24-pulse rectification is proposed that not only maintains the desired power quality but also enables a reduction in autotransformer equivalent power capacity, therefore, lowering cost, volume and weight of the overall 24-pulse rectification system. The significances of the proposed autotransformer configuration are: easier implementation and have reduced windings per autotransformer core limb contrary to the established topology. The topology of the novel autotransformer is such that one of the four 3-phase rectifiers draws current directly from the input power supply instead of the autotransformer hence the power load on the autotransformer is significantly reduced. Higher pulse rectification systems are needed to be investigated because they comply with the stringent power quality standards defined by IEEE-519. The performance of the novel topology is compared with the well-established 24-pulse rectification system where the proposed system exhibit superior characteristics evaluated regarding power quality and simplicity. In this paper, the performance of both 24-pulse power converters is assessed through MATLAB simulations and validated through experimental prototypes.

With the evolution of the More Electric Aircraft (MEA) concept, high pulse converters have gained the attention of researchers due to their higher power quality. Among the high pulse converters, 18-pulse autotransformer rectifier unit (ATRU) offers better power quality level with small size, weight and medium complexity. The conventional topologies of autotransformers that require the use of extra elements such as Inter Phase Transformers (IPT) or Zero Sequence Blocking Transformers (ZSBT), adding to the complexity, weight and size of the overall system, are not considered in the analysis. For 18-pulse rectification, only those topologies of autotransformers which have the intrinsic current harmonic cancellation capabilities are presented here for comparison. These topologies offer current harmonic levels within limits specified by IEEE 519 with reduced weight and size as compared to the conventional multi-pulse converters. A comparison of different differential delta/fork configured 18-pulse autotransformer rectifier units is presented so as to come up with the best among available topologies with respect to weight, size and power quality. Experimental prototypes of each topology were designed and their results are displayed along with the simulation results for comparison.