Background A major workforce inadequacy and the change in skill demanded have been observed due to the digital transformation. This study aims to identify the digital skills demanded by employers, focusing on exploring the skills gaps among the graduates that impact graduate employability. Methods A cross sectional online survey was conducted among the companies registered with the Malaysian Productivity Corporation (MPC). Demand for digital skills was assessed using descriptive analysis of mean scores of the employers’ rating in digital skills at present and in future. A pair sample t-test was performed to explore the existence of skill gaps, by comparing the demand versus competencies of the graduates’ digital skills in the workplace. Results Of the 393 responses collected, 376 responses were used for final analysis. The findings show that the current top three digital skills in demand are “information and data literacy”, “problem-solving”, and “digital content creation”. Whereas the top digital skills for future demand are “problem-solving”, “safety”, and “communication and collaboration”. In addition, the most significant (digital) skill gap is found in “communication and collaboration skills” followed by “problem-solving” and “safety” skills. Conclusions These findings provide insights into the digital skills demanded by employers in IR 4.0, allowing the practitioners, education service providers and policymakers to do better planning on human capital management and training development. By focusing on identifying the current and future demand for digital skills while exploring the digital skill gaps among the graduates, this study provides insight into the employability skills required by the graduate before entering the job market.

China has placed significant importance on the development of a circular economy and achievement of sustainable prosperity. It employs multiple fiscal and tax policies to facilitate clean production and improve resource efficiency by fostering corporate green innovation. Policy signalling boosts companies’ external funding, including debt and equity. As such, this research focuses on how government subsidies and tax incentives influence corporate green innovation efficiency, accounting for the mediating roles of debt financing and equity financing. Under the SBM model, we utilise the Luenberger index to quantify green innovation efficiency. In addition, the fixed-effect regression with 19,228 firm-year observations from 3549 firms between 2015 and 2021 is used. Based on empirical findings, government subsidies reduce green innovation efficiency, while tax incentives increase it. In addition, debt financing mediates the association between tax incentives and corporate green innovation efficiency. Furthermore, government subsidies and tax incentives play more significant roles in non-state-owned enterprises (non-SOEs) and for businesses in growing and mature stages than other listed firms. To improve access to external financing and green innovation efficiency, it is suggested that the government implement various government subsidies or tax incentives according to business characteristics, with each company applying policies customised to its specific circumstances.

This research sought to investigate how academics with a protean career attitude perceived success in their academic career. The role of perceived employability was examined by distinguishing between external and internal employability perceptions. Data from 288 academics working in Malaysian universities were collected and analysed using structural equation modelling. The findings revealed that a protean career attitude had no significant direct relationship with career success; rather, it had an indirect effect on success via perceived employability. Both external and internal perceived employability fully mediated the relationship between protean career attitude and career success, with perceived external employability having a stronger direct and mediating effect on academic career success. This study suggests that academic staff depend upon external employment opportunities to pursue success in academia. The implications of study findings are discussed, along with limitations and future research directions.

The purpose of this study is to examine the consumer adoption of mobile augmented reality (AR) in the tourism industry in Malaysia. Drawing on the extended Technology Acceptance Model (TAM), interactivity, vividness, and information content factors are examined in relation to perceived usefulness (PU). and perceived ease of use (PEOU). Subsequently, both PU and PEOU are hypothesised towards customer engagement (CE), behavioural intention to use (BIU) and usage behaviour (UB). The study consists of 500 samples from consumers who have experienced the usage of mobile AR in the tourism industry in Malaysia. Using a quantitative approach, structural equation modeling (SEM) was applied to analyse the collected data. The findings revealed that interactivity, vividness, and information content have positive effects on the PU and PEOU. PU and PEOU have positive effects on the CE, BIU, and UB. In theoretical contributions, the study contributes to the extension of TAM by adding interactivity, vividness, and information content as antecedents to PU and PEOU. This research also validated CE as the new dimension for consumer behavioural engagement that affects BIU and UB in the extended TAM. In practical contributions, the findings will assist tourism providers in strategic marketing planning and formulation to enhance mobile AR.

Purpose: Digitalisation is reshaping the learning process, shifting it towards personalisation and online learning, and fuelling the growth of massive open online courses (MOOCs) and micro-credentials. Despite being a popular global trend, limited studies have looked at micro-credentials and their impact on learners' behavioural outcomes. The purpose of this study is to investigate the impact of programme design factors on learning experience, as well as the inter-relationships between programme design, learning experience and behavioural responses (e.g. engagement and willingness to pay more (WTPM)) towards micro-credentials. In addition, the study aims to investigate learning enjoyment as a moderator.Design/methodology/approach: A survey questionnaire was used to collect data from 354 respondents who are working adults living in the major economic states in Malaysia. Data analysis was performed using the analysis of a moment structures (AMOS) statistical software and SPSS (Statistical Package for the Social Sciences) PROCESS macro.Findings: The results show the significance of programme design factors (i.e., flexibility, system quality and content quality) in determining the learning experience. The learning experience is found as a mediator in the relationship between programme design factors and learner engagement and WTPM. In addition, the moderation assessment confirms that enjoyment during learning strengthens the relationship between experience and behavioural responses.Originality/value: This study is amongst a few selected studies that focus on engagement in and WTPM for micro-credentials. In addition, it emphasises the mediating role of the learning experience and the moderating role of enjoyment in understanding the impact of programme design on learners' experiences and behavioural responses.

In the contemporary era of technological advancement characterized by the flourishing of online shopping and the fashion e-commerce industry, it is essential for fashion retail enterprises to possess a comprehensive understanding of the interrelationship between content marketing and customer engagement to achieve success. This study aims to examine the impact of content marketing strategies on customer engagement in online fashion stores in Malaysia, offering retailers effective content marketing strategies to engage with customers. Using the quantitative research method, a sample of 172 respondents from Generation Z in Kuala Lumpur, Malaysia, participated in an online survey via Google Forms. The Uses and Gratifications Theory was adopted in the study to gain a comprehensive understanding of the motivations and reasons that drive individuals' engagement on online fashion stores. Pearson Correlation analysis and Multiple Linear Regression were used to determine the relationship between the independent and dependent variables and test the hypothesis's validity. The study discovered that content informativeness, content interactivity, and content entertainment have a significant relationship with customer engagement on fashion websites. Specifically, content informativeness has the strongest positive relationship with customer engagement on fashion retail websites in Malaysia. The study's results provide valuable insights for fashion online retailers in optimizing their website's content marketing strategies to better engage with customers and ultimately increase sales based on content characteristics such as informative, interactive, and entertaining content. Therefore, they could gain competitive advantages by implementing website content optimization.