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By market capitalisation, Bitcoin, which debuted in 2009, is the biggest cryptocurrency globally. A decentralised ledger system called blockchain is used in the creation, distribution, trading, and storage of Bitcoin, with the original goal being to address the shortcomings of fiat currency. This chapter highlights potential dangers and legal concerns when Bitcoin interacts with the actual economy and the traditional financial system. Besides, the details also discuss the platform’s design principles and attributes for a non-technical readership. When assessing its transactional potential, some recognise its potential for speculation, while others are doubtful of its admirable intent. The write-up also explores the potential of the adoption of cryptocurrencies in Southeast Asia due to the vast adoption of Bitcoins in countries such as Vietnam and the Philippines following the establishment of cryptocurrency technology and e-commerce. In addition, rankings of the cryptocurrency and legal stance from each country in Southeast Asia were exhibited as the solid foundation of cryptocurrencies existent for transaction purposes. The rise of central bank digital currencies (CBDC) and the future directions of Bitcoins were also highlighted in this write-up to spur the debate on whether cryptocurrency remains a fad of sensation or is legalised as the medium of exchange in an ever-growing digital world of commerce.

Purpose: This chapter identifies performance factors that have the strongest impact on companies’ sustainable outcomes and compares the obtained results across different sectors.

Methodology: About 3,384 observations were gathered from 2015 to 2022 from companies in communication services, energy, financials, real estate, and utilities sectors that comprise the ‘STOXX Global ESG Leaders Select 50’ index. The multiple regression model is constructed with companies’ ESG scores as dependent variables and independent variables representing operational, financial, and market performance.

Findings: Companies that tend to have higher operational and financial performance in the financial sector are more likely to have higher ESG performance. The financial performance results of companies showed the strongest statistically significant relationship with environmental and the weakest with governance scores.

Implications: Results benefit private and institutional investors aiming to create more sustainable portfolios. The obtained results indicate that these investors should focus on companies operating in the financial and energy sectors with higher performance results. Better ROE, ROA, and Tobin’s Q may have a negative impact on sustainable outcomes for companies operating in the real estate and utility sectors.

Limitations: Firstly, not all ESG index providers disclose information about their index constituents. Secondly, within the chosen ‘STOXX Global ESG Leaders Select 50’ index, not all constituents had complete ESG data available on the Bloomberg platform. When selecting the analysis period, it was observed that the accessible ESG data on Bloomberg covers a relatively short time span, only from 2015 onwards.

Future research: A larger number of companies by choosing a more comprehensive available ESG index.

While research on sustainability reporting in the construction industry has already provided comprehensive findings, the purpose of this paper is to answer the question of how construction companies anchor the topic of sustainability in their strategic and operative management control practices. The implementation of sustainable business models and sustainability strategies requires proper management control instruments or mechanisms that support the transformation process or make it possible in the first place.

A qualitative content analysis based on deductive and inductive procedures was conducted. 39 sustainability reports published by the largest construction companies in the EU were examined.

Valuable insights are provided by showing which control instruments and mechanisms are used to improve corporate sustainability performance as well as how these are linked systematically. The results show that the focus is on strategic planning, cultural and administrative controls, while short-term targets, which could set out the path to achieving the long-term sustainability goals set, are often not reported. Strategic stakeholder theory and legitimacy theory provide explanations for the use of management control practices identified.

Previous studies often focus on selected single control practices and miss holistic approaches for investigating corporate sustainability in construction companies. Furthermore, theoretical perspectives with instrumental and socio/political views on corporate sustainability help us explain the control practices applied. Moreover, practitioners, standard setters and legislators can use the findings for sustainability management or for developing standards and legislation.

With the global market for advanced technology-driven customer service set to soar, understanding the complicated relationship between advanced technology and customer purchase behaviour is paramount. While prior research has touched upon the impact of technology on purchase processes in some aspects, this study investigates the specific features of advanced technology that shape customer purchase intention in greater depth. By investigating when and under what conditions customers choose advanced technology-based purchases, this research sheds light on the evolving landscape of consumer decision-making and it seeks to quantify the transformative power of advanced technology in driving customer purchase intentions.

In Ghana, the adoption and application of green building concepts and technologies have not been fully explored. The study aimed to look into the key barriers and how they affect this.

Purposive and snowball sampling techniques were used to select a total of 292 construction industry stakeholders in Ghana who provided information via a questionnaire survey used for the data collection. Exploratory factor analysis and Partial least squares structural equation modelling (PLS-SEM) were used for computing the data analyses.

According to the study findings, the top five most critical barriers to the uptake of green building concepts and technologies (GBCs and Ts) in Ghana are: lack of government incentives/supports for implementing green building technologies (GBTs), lack of knowledge and awareness of GBTs and their benefits, lack of GBTs databases and information, Lack of green building (GB) expertise/skilled labour and Higher costs of GBTs. Principal Component Factor Analysis was used to further analyse the data, which allowed for the reduction of the 27 (27) factors to just four (4) underlying critical barriers: (1) government and knowledge-associated barriers, (2) technical barriers, (3) cost and finance barriers and (4) stakeholders’ attitude barriers. PLS-SEM techniques were used to analyse this collection of barriers, and the results showed that stakeholders’ attitude-associated barriers and cost and finance-related barriers have a significant negative influence on the uptake of GBCs and Ts in Ghana. This study’s findings have provided empirical evidence of the critical barriers to the uptake of GBCs and Ts from all stakeholders. Stakeholders desirous of implementing GBCs and Ts would work against the negative influences on the uptake of GBCs and TS.

Although there has been an abundance of research to examine the critical barriers to GB, however, the uniqueness of this study is nested in modelling the influence of the barriers on the adoption of GBCs and Ts using the PLS-SEM path modelling.

Generative Artificial Intelligence (GAI) can revolutionize higher education by allowing students to pursue their academics easily and comfortably. When this becomes a celebration for students as they get access to information with a click, it also points out the massive impact it can create on academic ethics and responsibility. Most of the research reveals that the results or information generated by these tools, like ChatGPT, sometimes are more general or even false. Are students aware of issues in using tools that align with the integrity of their work? The role and responsibility of Higher Education Institutions (HEIs) is to nurture AI literacy in students so that they can use AI tools appropriately for maximum efficiency and capabilities. This study was conducted to primarily understand students' psychological attitudes and beliefs towards using generative AI tools. Secondly, it examined the ethical and moral values the students could consider when applying generative AI tools. A survey of undergraduate students from HEIs all over Oman was conducted using a Five Point Likert Scale, and the collected survey data was analyzed using descriptive statistics, correlation analysis and thematic analysis for open ended questions. According to the respondents, GAI can bring scientific and technological progress in education but not much likely to change their behaviour and bring intellectual advancement. The study could also discover a high sense of moral and ethical values among the respondents while using GAI in education. This research study could form a base to embark on initiating generative AI governance in HEIs of Oman.