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This study aims to examine the relationship between corporate social responsibility (CSR) and job pursuit intention (JPI), and the role of job seekers’ perception on employer prosocial orientation, value congruence and employer attractiveness in this relationship. CSR is measured based on internal and external CSR.

By adopting quantitative approach, data was obtained through survey questionnaire from 420 bachelor’s degree university fresh graduates from five universities in Malaysia who are actively seeking for jobs. Data was analysed using structural equation modelling technique.

Research findings show that internal and external CSR positively impact job seekers’ perception of employer prosocial orientation. Job seekers’ perception towards employer prosocial orientation has a significant positive impact on value congruence. Value congruence has a significant positive influence on employer attractiveness. Finally, employer attractiveness has a significant positive impact on JPI.

The findings are useful for human resources management. Organisations (employers) should focus on effective internal and external CSR practices through a prosocial orientation approach to attract the best talents and create a strong position in the job market.

This study extends the Signalling Theory and P-O Fit theory by applying them to an entirely different context of CSR and JPI, by incorporated the holistic job seekers’ psychological processes of the recruitment signals (internal and external CSR), signalling process and person-organisation fit (perception on employer prosocial orientation, value congruence and employer attractiveness) thoroughly.

Social media engagement is widely used by the higher education institutions (HEIs) to improve brand performance through brand image and brand loyalty. This study focusses on the effect of social media engagement on relationship quality and brand performance in the higher education marketing (HEM) context. Social media engagement dimensions comprising social interaction, sharing of information, surveillance and information quantity are tested as antecedents to relationship quality. Relationship quality is examined as antecedents to brand image and brand loyalty.

Data are obtained through survey questionnaire from 410 undergraduate and postgraduate students from six HEIs in Malaysia. Structural equation modelling was applied for data analysis.

The findings of this study reveal that social interaction, sharing of information, surveillance and information quantity have positive effect on relationship quality. Relationship quality has significant positive influence on brand image and brand loyalty, respectively.

The study contributes to the extension of social exchange theory through the development of an integrative framework of social media engagement (exchange) needed for improving relationship quality (relational responses) and brand performance (behavioural outcomes) in the HEM.

The aim of this study is to examine the experiences of business students on case method coaching for problem-based learning and its influence on student engagement and learning performance in the context of Malaysian private higher education.

This study applied quantitative method with a self-administered questionnaire survey was used to collect data from 410 undergraduate business students from five top private universities in Malaysia using convenience sampling. Structural equation modelling (SEM) was used to analyse the data, and five hypotheses were tested.

The findings reported that learning assessments, analytical skills, interpersonal skills and interdisciplinary learning have significantly influenced student engagement. Student engagement is positively correlated to the learning performance. Overall, the business students have positive perception on the case method coaching approach for problem-based learning as an effective learning tool in classroom. The case method coaching is able to garner students' interest in learning, improve engagement with peers and educators and enhance their learning performance.

Higher education institutions can leverage on effective planning and implementation strategies for case method coaching for problem-based learning through more effective coaching strategies, enhance education curricula, allocation of adequate resources, and qualified and trained business educators as coaches.

The present study provides new insights on coaching in business education. This study developed a new framework integrating features of case method coaching and problem-based learning to the outcomes of student engagement and learning performance within the context of business education.

Young consumers are increasing using electronic word-of-mouth (eWOM) in travel social networking sites to make purchase decisions. This paper aims to test the extended Information Adoption Model (IAM) that places perceived usefulness and information adoption as consequences of argument quality, source credibility, information quantity and emotive word comprehension, and as an antecedent of purchase intentions.

Data are collected through survey questionnaire from 405 hotel young customers in Malaysia, who had experienced travel social networking sites. The hypothesized relationships were analysed using structural equation modelling.

The results show that argument quality, source credibility, information quantity and emotive word comprehension have positive effect on the perceived usefulness of eWOM. Perceived usefulness has positive influence on the information adoption of eWOM, which in turn predicts the young consumers’ purchase intentions.

The present study strengthens and advances the existing literature on tourism, social media and marketing by offering an extension to the IAM. The proposed extended model of IAM is verified and applied effectively in the context of eWOM for travel social networking sites.

Practitioners and marketers of travel social networking sites can improve the usability and effectiveness of eWOM to attract more young consumers.

The study contributes to the extension of IAM by adding information quantity and emotive word comprehension. This research validated the significant roles of eWOM argument quality and source credibility in predicting the information usefulness of eWOM.

This study aims to examine live streaming experiences of business students’ at the tertiary education level, and how the use of this interactive platform satisfies their affective, cognitive, social and hedonic needs in learning. Likewise, it explored the influence of live streaming class on the learning outcome needed in achieving self-directed learning.

Drawing on the uses and gratifications theory, a conceptual framework was developed to discover the impact of interactive live streaming platform in meeting learners’ needs required for self-directed learning. A survey was conducted with a sample of 402 business undergraduate students from 5 universities. Data was analyzed with covariance-based structural equation modeling.

This study confirmed that learners’ gratifications gained from live streaming encouraged them to collaborate with the instructors in meeting the learning outcomes. The findings also supported that the interactive nature of live streaming offers the opportunity for students to learn independently. Thus, it sheds new light on how a live streaming learning environment can be further developed in promoting self-directed learning.

This study offers a novel understanding of live stream class adoption by examining learners’ needs from a uses and gratification perspective. It also contributed new insight to the existing literature on live streaming technology use in education to promote self-directed learning.

The aim of this paper is to solve the problem of low accuracy of traditional fatigue crack growth (FCG) prediction methods.

The GMSVR model was proposed by combining the grey modeling (GM) and the support vector regression (SVR). Meanwhile, the GMSVR model parameter optimal selection method based on the artificial bee colony (ABC) algorithm was presented. The FCG prediction of 7075 aluminum alloy under different conditions were taken as the study objects, and the performance of the genetic algorithm, the particle swarm optimization algorithm, the n-fold cross validation and the ABC algorithm were compared and analyzed.

The results show that the speed of the ABC algorithm is the fastest and the accuracy of the ABC algorithm is the highest too. The prediction performances of the GM (1, 1) model, the SVR model and the GMSVR model were compared, the results show that the GMSVR model has the best prediction ability, it can improve the FCG prediction accuracy of 7075 aluminum alloy greatly.

A new prediction model is proposed for FCG combined the non-equidistant grey model and the SVR model. Aiming at the problem of the model parameters are difficult to select, the GMSVR model parameter optimization method based on the ABC algorithm was presented. the results show that the GMSVR model has better prediction ability, which increase the FCG prediction accuracy of 7075 aluminum alloy greatly.

This chapter analyses the how, who, where and why of rapid rise in intra-regional investment by companies from ASEAN since 2009.

The chapter analyses the push and pull factors of intra-regional investment in ASEAN, the resulting patterns of foreign direct investment (FDI) and the accompanying rise of strong regional players.

The region’s FDI landscape is changing in terms of investment sources, players, FDI trends and dynamics of the region. This trend is strongly affected by stepped up efforts by ASEAN governments to encourage their national companies to invest in the region and the influence of the ASEAN Economic Community.

Regional integration and emerging business opportunities are providing an impetus not seen before in driving intra-regional investment. As more ASEAN companies position and prepare for AEC 2015, this intra-regional investment wave is likely to gather force.

The chapter lists the regional and global ‘footprint’ of the top 50 largest ASEAN companies by revenues. The thus identified companies include companies operating in oil and gas, mining, agri-business, telecommunications, food and beverages, manufacturing, banking, power generation, infrastructure, real estate and healthcare services

There are many types of the ADCs implemented in the mobile and wireless devices. Most of these devices are battery operated and operational at low input voltage. SAR ADC is popular for its low power operations and simple architecture. Scientists are still working to make its working faster under the same low power area. There are many SAR-ADC implemented in the past two decades, but still, there is a big room for dual SAR-ADC.

The authors are presenting a dual SAR-ADC with a smaller number of components and blocks. The proposed ultra-low-power circuit of the SAR-ADC consists of four major blocks, which include Bee-bootstrap, Spider-Latch dual comparator, dual SAR-logic and dual digital to analog converter. The authors have used the 90-nm CMOS library for the construction of the design.

The power breaks down of the comparator are dramatically improved from 0.006 to 0.003 uW. The ultimate design has 5 MHz operating frequency with 25 KS/s sampling frequency. The supply voltage is 1.2 V with 35.724 uW power consumption. Signal-to-noise and distortion ratio and spurious-free dynamic range are 65 and 84 dB, respectively. The Walden's figure of merits calculated 7.08 fj/step.

The authors are proposing two-in-one circuit for SAR-ADC named as “dual SAR-ADC”, which obeys the basic equation of duality, derived and proved under the heading of proposed solution. It shows a clear difference between the performance of two circuit-based ADC and one dual circuit ADC. The number of components is reduced by sharing the work load of some key components.

Cloud manufacturing (CMfg) is a networked manufacturing mode that promotes the agile, service-oriented, green and intelligent development of the manufacturing industry. Although some scholars have reviewed related studies of CMfg from multiple perspectives, these reviews are not fully systematic or well justified and fail to fully reveal the key characteristics in the development process of CMfg. The purpose of this paper is to systematically review the relevant research on CMfg via identification of key characteristics of definition, architecture, supporting technology and application of CMfg to provide critical information in decision support for the innovation and development of CMfg.

This study systematically reviews the relevant research on CMfg across theoretical methods to technical applications by integrating quantitative and qualitative methods. Word cloud method is used to quantitatively analyse the structure and feature of different definitions of CMfg. The principle of System Science is used to explore the basic components and functions of various CMfg architectures and their common and differing characteristics. A multi-level technology framework is developed to explore the development status of CMfg supporting technologies. A multi-stage application classification is proposed to reveal the application status of CMfg.

Through literature review, this study found that CMfg architecture is currently dominated by general architectures and lacks architectures that fit the actual enterprise characteristics; CMfg supporting technology is mature in the traditional cloud computing-based technology, but it is still weak in the development of virtualization and servitization technology, service scheduling technology; CMfg application is still in the initial stage and still lacks a relatively complete system application. By analysing the development status of CMfg, this study also identified potential research directions of CMfg in information management, service composition and evaluation, system application and sustainable development and other aspects.

This paper predominantly focuses on journal articles and some key conference papers published in English and Chinese. Chinese articles account for more than half of the total. The reason is that CMfg was proposed by the Chinese and CMfg is suitable for the development of China's manufacturing industry because of China's intelligent manufacturing environment. It is believed that this research has reached a reliable comprehensiveness that can help scholars and practitioners establish new research directions and evaluate their work in CMfg.

Prior literature reviews ignore the identification and analysis of key feature identification for the current development of CMfg, including common and unique feature identification of different CMfg architectures and functions, multi-layer analysis and interpretation of CMfg technology and different stage analysis of CMfg applications. This study addresses these limitations and provides a comprehensive literature review.

The purpose of this study was to map the quantity (frequency), quality (impact) and structural indicators (correlations) of research produced on cloud computing in 48 countries and 3 territories in the Asia continent.

To achieve the objectives of the study and scientifically map the indicators, data were extracted from the Scopus database. The extracted bibliographic data was first cleaned properly using Endnote and then analyzed using Biblioshiny and VosViewer application software. In the software, calculations include citations count; h, g and m indexes; Bradford's and Lotka's laws; and other scientific mappings.

Results of the study indicate that China remained the most productive, impactful and collaborative country in Asia. All the top 20 impactful authors were also from China. The other most researched areas associated with cloud computing were revealed to be mobile cloud computing and data security in clouds. The most prominent journal currently publishing research studies on cloud computing was “Advances in Intelligent Systems and Computing.”

The study is the first of its kind which identified the quantity (frequencies), quality (impact) and structural indicators (correlations) of Asian (48 countries and 3 territories) research productivity on cloud computing. The results are of great importance for researchers and countries interested in further exploring, publishing and increasing cross country collaborations related to the phenomenon of cloud computing.