With the advancement of Machine Learning, since its beginning and over the last years, a special attention has been given to the Artificial Neural Network. As an inspiration from natural selection of animal groups and human’s neural system, the Artificial Neural Network also known as Neural Networks has become the new computational power which is used for solving real world problems. Neural Networks alone as a concept involve various methods for achieving their success; thus, this review paper describes an overview of such methods called Particle Swarm Optimization, Backpropagation, and Neural Network itself, respectively. A brief explanation of the concepts, history, performances, advantages, and disadvantages is given, followed by the latest researches done on these methods. A description of solutions and applications on various industrial sectors such as Medicine or Information Technology has been provided. The last part briefly discusses the directions, current, and future challenges of Neural Networks towards achieving the highest success rate in solving real world problems.

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The purpose of this paper is to investigate the relationship between green supply chain management (GSCM), sustainability and environmental uncertainties through corporate social responsibility (CSR) perspective. The study also tries to examine the mediating role of environmental uncertainties in the relationship between green supply chain management and sustainable performance. The study is carried out on firms in oil and gas sector of Kingdom of Oman and the results are analyzed using SEM-PLS. The findings reveal the fact that sustainable performance has become the primary objective of the organizations. Achieving sustainable performance is now becoming the main objective for business firms globally. Environmental obligation has caused many business firms to comply with the regulations. The green supply chain management is emerged as a significant determinant of CSR implantation success. According to this study the practice of the GSCM however requires integration among green supply chain partners to achieve sustainable performance. The findings have a number of managerial implications that could contribute to Omani's industries for planning and development a GSCI strategy through the internal, upstream, and downstream of the green supply chain perspective. The managers should develop a comprehensive environmental strategy, which requires the implementation of internal environmental management initiatives and cooperation from both suppliers and customers.

Public accountants play important role for development of business activities. Malaysia needs as many as 60,000 qualified accountants in year 2020 but only half of the figure is presently achieved. This paper tries to identify motivational factors influencing on accounting students to become Certified Public Accountant (CPA). The objective of this paper is to analyze the influence of Quality Motivation, Economic Motivation, Social Motivation, Career Motivation influencing on CPA qualification. The method of collecting data is questionnaire by using a sample of 85 students at Management and Science University, Malaysia and Smart PLS is used in analyzing this research. The results indicate a positive influence on quality motivation, social motivation, and career motivation on the interest in taking the CPA while economic motivation has no influence on the interest in taking the CPA in this paper. In other words, the factors describe approximately 89% of the changes of dependent variable (CPA).

The stock prices of mining companies are affected by several factors, such as world oil price, inflation, exchange rate, and Price to Earnings Ratio (PER), political affairs, basic metal prices, etc. The objective of this study is to analyze the effects of some factors influencing the stock prices of the mining companies including Price to Earnings Ratio (PER), world oil price, inflation, and exchange rate. Secondary data from Annual Reports of Indonesia Stock Exchange (IDX), Energy Information Administration (EIA), and Bank Indonesia are used as the sources of data analysis. 35 mining companies are selected as samples from four mining sub-sectors; namely coal, oil & gas, other metal & mineral, and rock. The results are analyzed by using panel data regression analysis model through applying EVIEWS 10. The results indicate that Price to Earnings Ratio (PER) and world oil price had positive and significant effects on stock price. Moreover, inflation has negative and significant effect on the stock price while exchange rate has no significant effect on stock price.

PurposeWith the rapid development of technology in the 21st century, an ever-growing number of organisations are adopting digitalised technologies. The global economy connected with digitalisation is moving towards sustainable development. Individual firms adopt innovative technological strategies to consolidate their position in the competitive market. The study aimed to examine the management perception of the impact of E-commerce adoption (EC) on business performance (BP) – the moderating role of using artificial intelligence (AI).Design/methodology/approachA quantitative study using the deductive approach and the data collected from senior managers of the small and medium-sized enterprises (SMEs) in Sri Lanka, and 389 samples were collected using a simple random sampling method. EC, BP and AI were named as the independent, dependent and moderating variables in the model. Porters' generic strategies and resource-based views (RBVs) were applied as the foundation of the study.FindingsThe independent and moderating variables significantly influenced the BP. Managers' age, gender, education level and job position affect their perception.Originality/valueThe global economy is moving towards sustainable development using digitalisation. The firms should blend their strategies with digitalised platforms to survive in the competitive market.Peer reviewThe peer review history for this article is available at the following link: https://publons.com/publon/10.1108/IJSE-12-2021-0752

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The utilization of technology can be implemented in education. Gamification is a new technology that used elements such as badges, level, and point of game play that implemented in a non-game context. In this research, the researcher analyzes some of the literature to establish in the extent of gamification to assist student’s motivation and engagement among Computer Science related subject. The researcher found that the most common element that implemented in learning Computer Science related subject were badges, point, level, and leaderboards. Implementing gamification elements in learning can be a tool that can motivate and engage the student in learning Computer Science.