Several economic, institutional, technical and socio-cultural barriers hinder countries from moving from the high to the low emission pathway. The objective of this research is to find out the impacts of social, economic, technological and regulatory barriers in the deployment of renewable energy. Data were collected through an online questionnaire responded to by 223 professionals working in the energy sector all over the globe. This research shows that social, technological and regulatory barriers have a strong influence on the deployment of renewable energy, while economic barriers significantly influence it indirectly. By breaking research and development-related barriers, organizations will be able to invest greatly in developing advanced technologies that can optimize usage of renewable energy and make renewable energy appear more lucrative. With less polluting and lower tariff energy solutions being made available to local people, and higher profits for manufacturers, this will create an atmosphere where all stakeholders are satisfied.

This study focuses on big data, which offer new opportunities, added value and operational excellence for existing supply chain practices. A survey was conducted among employees of multinational companies across the United States, the Middle East, Europe, Asia and Australia. Structural equation modelling was employed for the statistical analysis of the survey data. The results show that demand management, vendor rating, the Internet of things (IoT), analytics and data science affect the supply chain industry regarding operational excellence, cost savings, customer satisfaction, visibility and reducing the communication gap between demand management and supply chain management (SCM). The adoption of big data technology can create considerable value-added and monetary gain for firms and will soon become a standard throughout the industry. This research provides a new description of the Supply Chain Operations Reference (SCOR) model by incorporating big data and SCM.

Mobile learning has become a common experience in higher education and in the professional workforce. However, the readiness of accounting students to engage in such learning appears to be weaker than in other disciplines. Therefore, this study set out to identify the factors affecting accounting students’ behavioural intention (BI) to accept mobile learning. The participants of this study were 358 accounting students of public universities in Malaysia. The study was anchored in the unified theory of acceptance and use of technology 2 (UTAUT2) (Venkatesh, Thong & Xu, 2012), which has been employed by researchers in various research areas such as mobile payments, e-learning, mobile banking, and online shopping. The study revealed that habits have the most influence on accounting students’ intention to adopt mobile learning through an investigation of technology acceptance in the domain of mobile learning. From the perspective of universities, the study posits that consistent usage of mobile learning could be encouraged through processes to nurture students’ habits when using mobile learning system as a tool to complete tasks. Findings provide a reference for the future UTAUT2 and mobile learning related studies.

Many telecommunication companies in Malaysia have been attracted to invest significantly in the development of mobile commerce due to the explosive growth in the usage and market penetration of mobile devices. Eventhough generation X is characterized with high earning power, as they are reluctant on technological advancements, the mobile commerce adoption rate is remaining low in Malaysia. Therefore, this study is intended to explore the resistance factors to understand the reasons for this low adoption among generation X in Malaysia. Innovation Resistance Theory (IRT) and Valence Framework have been employed to examine the barriers, including usage, value, risk, tradition, image, and perceived cost barriers. The results of this study have been derived from data collected from 227 generation X consumers through questionnaire survey. The findings of this study show that, except the cost barrier, all other barriers significantly affect the mobile commerce adoption. These results enable local businesses to develop solutions to eliminate the resistance barriers and act as a means of understanding how to possibly enhance the rate of mobile commerce adoption in Malaysia. This research provides an extended Innovation Resistance Theory model by adding the perceived cost barrier construct, a negative valence factor, for the adoption intention of mobile commerce.