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Social media is a popular communication tool for college students in many countries including Malaysia. Even though the literature indicates that the use of social media in a higher learning environment is likely to enhance academic performance of college students, the mechanism that explains such association is yet to be explored. Based on the claims that the integration of social media use is purposeful to enhance student engagement, the purpose of this paper is to investigate the role of student engagement as a potential mediator between social media use and academic performance of college students in Malaysia.

A total number of 227 business students in one of the public universities in Malaysia were randomly chosen to participate in this study. Questionnaire was used as the main data collection technique, which was personally administered during class sessions. Data were analyzed using structural equation modeling-partial least square (SEM-PLS).

The result showed the multidimensionality of student engagement. It also indicated that cognitive engagement mediated the relationship between social media and academic performance, but not behavioral, emotional, or agentic engagement. The result suggests that social media has the potential to be used in a learning environment as it promotes cognitive engagement of students in class and subsequently their academic performance and success.

One of the limitations of the present study is that the generalizability of the finding to a much larger population of students may be limited as the sampled students were recruited from business students in one of the public universities in Malaysia only. Students of different academic programs in different universities may have a different pattern of using the social media.

This study will help higher learning institutions and educators think of ways to integrate the use of social media in learning activities to help students achieve better academic performance. As shown by the findings, such use can encourage students to be cognitively engagedt in class in which the students can be more active learners.

The present study adds to the literature in social media use by addressing the issue of how it helps enhance academic performance of college students in a single model. Past studies tended to examine the role of social media and student engagement and the effect of student engagement on academic performance separately. Furthermore, this study took into consideration various types of social media used by college students who tend to have multiple accounts.

The aim of the study is to examine the impact of the big data analytics capabilities (BDAC) on the organizational performance. The study also examines the mediating role of ambidexterity and the moderating role of business value of big data (BVBD) analytics in the relationship between the big data analytics capabilities and the organizational performance.

This study collected primary data based on a questionnaire survey among the large manufacturing firms operating in UAE. A total of 650 questionnaires were distributed among the manufacturing firms and 295 samples were used for final data analysis. The survey was conducted from September to November in 2019, and data were analyzed based on partial least squares structural equation modeling (PLS-SEM).

The big data analysis (BDA) scalability is supported by the findings on the performance of firm and its determinants such as system, value of business and quality of information. The roles of business value as a moderator and ambidexterity as mediator are found significant. The results reveal that there is a need for managers to consider the business value and quality dynamics as crucial strategic objectives to achieve high performance of the firm.

The study has significant policy implication for practitioners and researchers for understanding the issues related to big data analytics.

This is an original study based on primary data from UAE manufacturing firms.

This study investigates the impact of traditional marketing analytics and big data analytics on the success of a new product. Moreover, it assesses the mediating effects of the quality of big data system.

This study is based on primary data that were collected through an online questionnaire survey from large manufacturing firms operating in UAE. Out of total distributed 421 samples, 327 samples were used for final data analysis. The survey was conducted from March–April 2020, and data analysis was done via Structural Equation Modelling (SEM-PLS).

It emerges that big data analysis (BDA), traditional marketing analysis (TMA) and big data system quality (BDSQ) are significant determinants of new product development (NPD) success. Meanwhile, the BDA and TMA significantly affect the BDSQ. Results of the mediating role of BDSQ in the relationship between the BDA and NPD, as well as TMA and NPD, are significant.

There are significant policy implications for practitioners and researchers concerning the role of analytics, particularly big data analytics and big data system quality, when attempting to achieve success in developing new products.

This is an original study based on primary data from UAE.

The aim of this study is to conduct an initial investigation of information sharing between the vast number of expatriate employees and the small minority of local employees in Dubai’s private sector workforce. Research on the impact of the workforce localization policy has highlighted the frequent marginalization of locals within the expatriate-dominated private sector. One form of this is the reluctance of expatriates to share information with local recruits, and the authors conducted this study to assess the reality and extent of this phenomenon.

The authors designed a brief interview survey to probe how Emirati employees secure workplace information and whether they experience information withholding on the part of expatriate colleagues. The authors also explored whether any such experience impacts on their attitudes to working in the private sector since this is a key factor in the success of the localization policy. Complete responses were received from 0.9 per cent of the total local private sector workforce.

A notable lack of information sharing emerged with 58 per cent of respondents reporting their expatriate colleagues’ and superiors’ reluctance to share information with them, and 63 per cent describing experiences of discriminatory behavior.

The authors identify key cultural and communication issues relating to localization within Dubai’s multicultural workforce. These include the broader cultural factors that determine how Emiratis conceptualize information sharing. Future research can pursue this issue to help inform the development of supportive information sharing practices. Such practices are an essential part of the creation of a diversity climate, which is necessary to sustain localization.

This study is a pioneering attempt to empirically investigate the information sharing practices that Emirati private sector employees experience. It suggests that the exclusion of citizens from the workplace through practices such as “ghost Emiratization” reverberates in the workplace through a lack of information sharing.

This study aims to investigate the relationship between earnings quality and corporate voluntary disclosure among Malaysian listed companies. Moreover, it examines the moderating effect of the ownership structure on the relationship between earnings quality and corporate voluntary disclosure.

This study covers 300 companies listed on Bursa Malaysia. It has used strategic, financial and non-financial information to measure voluntary disclosure; earnings management, persistence and smoothness to measure earnings quality; and institutional and managerial shareholders to measure ownership structure. Hierarchical regression analysis was used to investigate if ownership structure moderates the relationship between earnings quality and corporate voluntary disclosure.

The results in this work imply that companies with high earnings quality are more likely to disclose voluntary information to help stakeholders. Furthermore, this study provides original evidence that institutional ownership and managerial ownership play a main role as moderating variables that influence management motives toward practices of voluntary disclosure and earnings quality.

Because of the limited number of empirical studies on the relationship between voluntary disclosure and earnings quality, this study fills a gap in the literature by investigating the relationship between them. In addition, a lack of research exists on the effects of ownership structure on the relationship between voluntary disclosure and the earnings quality. Therefore, this study makes an original contribution to the literature by using institutional and managerial ownership as moderating variables to investigate the effects of the ownership structure on the relationship between voluntary disclosure and earnings quality in Malaysian companies.

Sequel movies are very popular; however, there are limited studies on sequel movie revenue prediction. The purpose of this paper is to propose a sentiment analysis based model for sequel movie revenue prediction and to propose a missing value imputation method for the sequel revenue prediction dataset.

A sequel of a successful movie will most likely also be successful. Therefore, we propose a supervised learning approach in which data are created from sequel movies to predict the box-office revenue of an upcoming sequel. The algorithms used in the prediction are multiple linear regression, support vector machine and multilayer perceptron neural network.

The results show that using four sequel movies in a franchise to predict the box-office revenue of a fifth sequel achieved better prediction than using three sequels, which was also better than using two sequel movies.

The model produced will be beneficial to movie producers and other stakeholders in the movie industry in deciding the viability of producing a movie sequel.

Previous studies do not give priority to sequel movies in movie revenue prediction. Additionally, a new missing value imputation method was introduced. Finally, sequel movie revenue prediction dataset was prepared.

This study covers all banks listed on the Amman Stock Exchange. It used (1) dividend-paying status, dividend changes and dividend persistence to measure dividend quality, (2) a checklist instrument consisting of 40 items to measure financial disclosure quality, (3) nationality and (4) the percentage of females and males on the board of directors to measure board diversity. Hierarchical regression analysis was employed to investigate the influence of the board diversity on the relationship between financial disclosure quality and dividend quality.

This study investigates the relationship between financial disclosure quality and dividend quality among Jordanian-listed banks. Moreover, it examines the moderating effect of board diversity on the relationship between financial disclosure quality and dividend quality.

The results in this work imply that banks with high financial disclosure quality have high-quality dividends. Furthermore, nationality and females on the board of directors play a main role as moderators that influence managers' motivations toward the quality of financial disclosure practices and bank dividends. This paper shows that the boards in Jordanian banks have not changed dividend policies and tend to follow a long-term fixed strategy for paying earnings.

Because of the limited number of practical research on the nexus between financial disclosure quality and dividends quality, this study fills a gap in the literature by examining the relationship between them. In addition, a lack of research exists on the effects of board diversity on the nexus of financial disclosure quality and dividends quality. Therefore, this study makes an original contribution to the literature by using nationality and females and males on the board of directors as moderating variables to investigate the effects of board diversity on the relationship between financial disclosure quality and dividend quality among Jordanian banks.

The quality of GeOx–Ge interface and the equivalent oxide thickness (EOT) are the main issues in fabricating high-k/Ge gate stack due to the low-k of GeOx interfacial layer (IL). Therefore, a precise study of the formation of GeOx IL and its contribution to EOT is of utmost importance. In this study, the GeOx ILs were formed through post-oxidation annealing of sputtered Al₂O₃ on the Ge substrate. The purpose of this paper is to report on growth kinetics and composition of IL between Al₂O₃ and Ge for HCl- and HF-last Ge surface.

After wet chemical cleaning with HCl or HF, Al₂O₃ was grown onto the Ge surface by RF sputtering. Thickness and composition of IL formed after post-anneal deposition at 400°C in dry oxygen ambience were evaluated as a function of deposition time by FESEM and characterized by X-ray photoelectron spectroscopy, respectively.

It was observed that the composition and thickness of IL were dependent on the starting surface and an aluminum germinate-like composition was formed during RF sputtering for both HF- and HCl-last starting surface.

The novelty of this work is to investigate the starting surface of Ge to IL growth between Al₂O₃/Ge that will lead to the improvement in Ge metal insulator field effect transistors (MISFETs) application.

The analyses of civil–military relations during public health emergencies are traditionally confined to applications in international and humanitarian action related to conflict and disaster. The expansive global response to the COVID-19 pandemic fused health and national security issues, and such a response involved extensive collaboration between the military and civil sectors. The expanded scope and centrality of the military in government pandemic response have been noted globally, and Southeast Asia presented interesting developments. This study investigates how the pandemic affected civil–military relations in the region by looking at the cases of the Philippines and Malaysia. First, it assesses the extent to which the pandemic has been framed within the security language through war analogies that rationalised military response. Second, it investigates the roles of the military in the respective governments’ public health emergency response, providing clues on how the increased military intervention affected people’s trust and confidence in public institutions during the pandemic. The study finds that securitising the pandemic correlated to expanding the military’s power and scope in the government response, but notes that civil–military relations remained dependent on the historical roles of the armed forces in politics and society. The two countries have similarly framed the pandemic as a security threat, but the military’s participation in Malaysia’s response shows development opportunities, while the case of the Philippines reveals how a military-centric pandemic response could lead to deleterious effects.

In recent times, mobile banking has become the best alternative for transactions associated with payments like bills, fees, and peer-to-peer payments. Therefore, the pace of adoption is increasing day after other. However, the numbers of customers are not equal to the expectations as there are several challenges and threats hindering in the way of excellence and growth of mobile banking. Therefore, this chapter has been written purposively to address all the elements that are associated with the use of mobile banking with special emphasis on Pakistan and other developing sides of Asia. In fact, concern towards Asian sides is mandatory as the continent has the massive charm to attract users towards the use of mobile banking, but there is a need for proper policy and concern from stakeholders in order to give a push to the technology, which is fruitful for society, environment, as well as economy. The study includes an in-depth discussion on factors that need attention to make the study implicative and thorough for conducting further research in the field of Fin-Tech and mobile banking.