No abstract

No abstract

Industry 4.0 is a time of serious disruptions whereby monumental changes are happening in the world of work, in the ways we teach and learn, and in the ways that we live our lives. Increased automation coupled with artificial intelligence are making humans obsolete, for instance, in the manufacturing and service industries. Intelligent machines are useful but human beings are losing livelihoods or becoming trapped in the ‘gig economy’. This empirical study collected and examined qualitative data related to Industry 4.0 critical skills outlined by the World Economic Forum from ASEAN student leaders at five tertiary polytechnics in Brunei, Indonesia and Malaysia. ‘Netnography’ data collection instruments were employed namely online interviews and group discussions within a cloud-based instant messaging and VOIP service together with face-to-face focus group discussions, where permissible. Results do not look too promising with a number of the participants still in the dark about what skills they need to acquire for Industry 4.0 and how they must hone those skills before they enter an uncertain world of work in 2020 and beyond. Clearly, ASEAN nations must move fast, un-train and retrain tertiary students in the vital skills needed to survive and succeed in the post-Industry 4.0 era.

Coaching and mentoring is part of development options in managing employee performance both in task performance and contextual performance. This study examined the affiliation between employees' development options on strengthening employee performance. The development options that the researchers intend to tested in strengthening employee performance are coaching and mentoring. The overall findings from 181 permanent employees who participate in this survey designate positive relationship between coaching and mentoring in strengthening employee performance. Meanwhile, findings in multiple regression analysis revealed that mentoring has greater significant predictor in strengthening employee performance. The data are accumulated via convenience sampling method from respondents under Group Human Capital, Maybank Berhad and been processed using SPSS software version 20.0.