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This paper aims to investigate magnetic field anneal in micro-patterned Co-based amorphous ribbon on giant magneto-impedance (GMI) effect enhancement.

The amorphous ribbons were annealed in transverse and longitudinal magnetic field. The influence of different field annealing directions on GMI effect and impedance Z, resistance R and reactance X with a series of line width have been deeply analyzed.

In comparison with GMI sensors microfabricated by unannealed and transversal field annealed ribbons, GMI sensor which was designed and microfabricated by longitudinal field anneal ribbon performs better. The results can be explained by the domain wall motion and domain rotation during annealing process and the geometric structure of Co-based GMI sensor. In addition, shrinking the line width of GMI sensor can promote GMI effect significantly because of the effect of demagnetizing field, and the optimum GMI ratio is 209.7 per cent in longitudinal field annealed GMI sensor with 200 μm line width.

In conclusion, annealing in longitudinal magnetic field and decreasing line width can enhance GMI effect in micro-patterned Co-based amorphous ribbon.

This paper aims to investigate the influence of structure parameters on giant-magnetoimpedance (GMI) effect measured by non-contact method.

The GMI sensor contains a Co-based internal magnetic core fabricated by laser cutting and an external solenoid. The influences of magnetic permeability of magnetic core and structure parameters on GMI effect were calculated in theoretical model. The output impedance, resistance, reactance and GMI ratio were measured by non-contact method using impedance analyzer.

Enhancing external magnetic field intensity can decrease the magnetic permeability of core, which has vital influences on the magnetic property and the output response of GMI sensor. In addition, increasing the width of magnetic core and the number of solenoid turns can increase the maximum GMI ratio. The maximum GMI ratio is 3,230% with core width of 6 mm and solenoid turns of 200.

Comparing with traditional contact-measured GMI sensor, the maximum GMI ratio and the magnetic field sensitivity are improved and the power consumption is decreased in non-contact measured GMI sensor. GMI sensor measured by non-contact method has a wide range of potential applications in ultra-sensitive magnetic field detection.

The purpose of this paper is to assess the perceived importance and actual level of implementation of five preliminary success factors, four knowledge management (KM) strategies and three KM processes towards the performance of the Malaysian telecommunication industry.

A questionnaire survey was conducted on telecommunication companies based on a convenience sampling technique. Data were analyzed using paired t‐tests and multiple regression analyses.

The results show that Malaysian telecommunication organizations view all the KM preliminary success factors, strategies and process as important and critical but fall short of implementation. K Audit, K Map, leadership, measurement, construction and embodiment are the variables that have the largest gap between perceived importance and actual implementation. For perceived importance, culture is the only important variable associated with organizational performance whereas for actual implementation, both business strategy and construction process are found to be significantly associated with organizational performance.

This paper was conducted in only one industry in Malaysia. Furthermore, it focuses on KM implementation rather than on learning and knowledge utilization. This paper provides a framework for developing an instrument for assessing the use of preliminary elements in the Malaysian telecommunication industry. Telecommunication organizations have to overcome problems identified and enhance their implementation level in order to achieve better organizational performance.

This paper has extended knowledge in KM, especially concerning implementation issues at the beginning stage of KM. Moreover, it is among the first empirical work to specifically examine preliminary success factors, processes and strategies that affect the preliminary implementation of KM.

High voltage direct current (HVDC) cable is an important part in the electric power transmission and distribution systems. However, very little research has been carried out on partial discharge under direct current (DC) conditions. Niemeyer’s model has been widely used under alternating current (AC) conditions. This paper aims to intend to modify the Niemeyer’s model considering both electric field and charge dynamics under DC conditions, and therefore proposes a numerical model describing partial discharge characteristics in HVDC cable.

This paper intends to understand partial discharge characteristics under DC conditions through numerical modelling. Niemeyer’s model that has been widely used under AC conditions has been modified, taking both electric field and charge dynamics under DC conditions into consideration. The effects of loading level or current through the conductor, cavity location and material properties on partial discharges have also been studied.

Electrical conductivity is important in determining the characteristics of partial discharge under DC conditions and discharges tend to happen in short when the cavity field exceeds the inception level under the parameter values studied in the paper.

Building the numerical model is the purpose of the paper, and there is lack in experiment and the comparison between the simulation results and experiment.

The proposed model provides the numerical model describing partial discharge in HVDC cable and helps understand the partial discharge mechanism under DC voltage.

To the best of the author’s knowledge, this paper is a very early research on the numerical modelling work on partial discharge under DC voltage.

For the dramatically developed high voltage direct current (HVDC) power transmission, HVDC cables play a vital role in the power transmission across seas and connections with renewable power sources. However, the condition monitoring of HVDC cables is still a challenging research topic. This paper aims to understand the influence of external factors, namely, current, cavity location and material properties, on partial discharge (PD) characteristics in HVDC cable in a numerical way referring to the refined Niemeyer’s model.

The influences of the three external factors are studied by a proposed numerical model for DC PDs based on the modification of a conventional PD model for AC voltage via a finite element analysis method.

The external factors can influence the discharge magnitude and discharge repetition rate via affecting the electrical conductivity of the material: DC PD is more frequent and with higher discharge magnitude when the cavity is closer to the conductor or the current through the conductor is higher. Both DC PD repetition rate and average discharge magnitude in long-term aged material are lower than virgin material. The effect of discharge on insulation degradation becomes decreasingly significant.

The current work is based on the numerical modelling of DC PDs. Further experimental validations and comparisons are essential for improving the model.

The studies of the influence factors for PDs under HVDC voltage can benefit the research and practical power transmission on DC PDs, contributing the design and test of DC PDs in HVDC cables, exploring the understandings of the DC PDs’ mechanism.

This paper, to the best of author’s knowledge, first studies the influence factors on DC PDs based on the numerical modelling work.

Mobile banking (Mbanking) is one of the most widely used mobile technology applications in recent times. This research aims to develop and test a research model by integrating social influence, trust and compatibility along with demographic variables into the original technology acceptance model (TAM) for Mbanking adoption which can be useful for understanding individual behaviours from an international business perspective.

Data were collected through a structured survey from 208 Omani Mbanking users and analysed using a two-staged regression and neural network (NN) model.

The results showed that perceived ease of use and demographic variables were not statistically significant in the multiple linear regression model, whereas the importance of the aforementioned variables was relatively high in the results obtained from the NN model. Furthermore, other predictors, namely, trust, perceived usefulness, compatibility and social influence included in the proposed research model that were established as significant by the regression model were assigned high relative importance by the NN model as well.

The study reflects the customer’s opinion from a developing country perspective. In addition, the research makes a significant theoretical contribution by using predictive modelling instead of causal or explanatory modelling for the development of a new and extended TAM model. The findings can be gainfully used by international business to understand Omani customer- and design-appropriate strategies for market penetration.

This study offers deeper understanding about Mbanking adoption from a developing country perspective and identifies and integrates important variables that influence the adoption in the aforementioned context.

With the widespread use of technology, computer-assisted language learning (CALL) has recently gained a vital momentum as it improves communication competence in an authentic, real-life learning environment. Therefore, the current chapter presents a discussion of the humanization of English language teaching (ELT) by using CALL tools in a higher education institution. Sixteen Turkish students who were studying in the preparatory class in a Turkish state university were included in the study. The research was designed focusing on a qualitative research method. Joint interviewing was conducted at the beginning and end of the academic year, 2018–2019. The interview questions were asked about their perceptions of learning via CALL in the classroom. The findings from the first and second interviews were compared and analyzed according to what they thought and how they were affected. The empirical data presented in this chapter explicated students’ views on the humanization of ELT through CALL in Turkish tertiary English preparatory classes. Ultimately, this chapter sets the grounds for students, teachers, higher education institutions and designers to consider the possible effects of CALL to enhance the humanization of ELT.

The purpose of this paper is to study the application of knowledge management (KM) factors on customer relationship management (CRM) process in Malaysian Multimedia Super Corridor (MSC) status organisations.

A questionnaire survey was conducted on KM workers (customer service) in Malaysian MSC status organisations. Based on the extensive review of the current literature, eight KM factors were investigated to examine the application toward CRM process.

The data, collected from 96 knowledge workers, suggest that KM process, organisational infrastructure and technology are three important predictors for effective CRM process.

The practical implication of this paper could be useful for business managers who want to enhance organisational CRM through implementing KM practices to support their organisation’s KM efforts.

This is one of the few papers to study the application of KM factors on CRM process in Malaysia.

Extant literature on knowledge sharing in higher education institutions (HEIs) concentrates on non-behavioral perspectives and indicates that academics continue to hoard knowledge despite being given incentives to bolster knowledge sharing behavior (KSB). This study aims to examine KSB among academics from a behavioral perspective through the lenses of the theory of planned behavior, perceived trust and organizational climate.

Self-administered questionnaires were distributed to 12 private universities using the drop-off/pick-up approach, resulting in 405 usable responses, which were analyzed using covariance-based structural equation modeling.

Academics’ salient beliefs – that is, behavioral beliefs, normative beliefs and control beliefs – significantly influence their attitude, subjective norms and perceived behavioral control (PBC). Attitude, subjective norms, PBC, perceived trust and organizational climate directly influence knowledge sharing intention (KSI), whereas attitude, KSI, subjective norms and PBC directly influence KSB. Noteworthily, KSI is a mediator in the relationships between attitude, subjective norms and PBC with KSB.

This study makes a seminal contribution through the novel conceptualization and theoretical generalizability of the theory of planned behavior by which HEIs can reinforce their competitiveness and global position by enhancing KSB among academics using a profound behavioral strategy.

This study aims to explore the dual-path effects of challenge (CTP) and hindrance time pressure (HTP) on knowledge sharing, which provides theoretical reference for knowledge teams to carry out knowledge sharing smoothly.

This study collected two waves of data and surveyed 416 employees in China. Regression analysis, bootstrapping and structure equitation modeling was adopted to test the hypotheses.

CTP has a positive impact on employee knowledge sharing, while HTP has a negative impact on employee knowledge sharing. Self-efficacy plays a mediating role between CTP and knowledge sharing, and emotional exhaustion plays a mediating role between HTP and knowledge sharing. The perceived organizational support can moderate the relationship between CTP and self-efficacy and between HTP and emotional exhaustion.

This study explains the reasons for the academic controversy about the effect of time pressure, enhances the scholars’ attention and understanding of the dual-path mechanism between time pressure and knowledge sharing and augments the theoretical research of time pressure and knowledge sharing.