Harnessing the opportunities of inclusive technologies in a global economy

Beliz, Gustavo; Basco, Ana Inés; Azevedo, Belisario De

doi:10.5018/economics-ejournal.ja.2019-6

Cited by 6 publications

(3 citation statements)

References 8 publications

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“…Enterprises in the investment is the pursuit of interests, and efficiency enhancement can effectively improve the efficiency of enterprise investment, capital return to produce higher profits. If only the investment manager to carry out investment management activities, then the efficiency will be subject to great artificial limitations, and it is very easy in the investment process, ignoring certain aspects of the problem, and then produce economic losses [4].…”

Section: Related Work 21 Problems Encountered In Enterprise Investmen...mentioning

confidence: 99%

Towards Promoting the Efficiency of Enterprise Investment Management with Artificial Intelligence

Cao

2024

HBEM

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With the continuous development and optimization of artificial intelligence, enterprises have begun to pay attention to the use of artificial intelligence for the optimization of work and the improvement of efficiency, and in the management of enterprise investment, a number of companies have begun to use a large number of artificial intelligence technologies in the integration and analysis of data, information processing and analysis, risk management, efficiency improvement, and so on. Enterprises encounter problems in analyzing data and information in investment management, and problems in risk management, all of which affect the improvement of their investment returns. Enterprises face a huge amount of data in the process of investment management, it is difficult to calculate a large number of data models in a relatively short period of time, and it is impossible to analyze and extract more information. In the face of investment risk, the control of risk in the past investment process is more based on experience to judge, there is a great deal of subjective assumptions in risk avoidance. And in the investment process companies also want to increase returns, improve efficiency, avoid risk, and achieve a more automated and intelligent trading process. Enterprises need to use artificial intelligence to technically solve the problems of data aggregation, arithmetic, and analysis; use artificial intelligence to optimize the problem of processing large amounts of information; use artificial intelligence technology to enhance risk management and predictive analysis, strengthen intelligent decision-making and portfolio optimization, and provide insights into big data analysis and market trends. The wide application of artificial intelligence technology in enterprises also has a certain impact on the development of enterprises, and it has a certain impact on the planning, feasibility, whole-process control, investment evaluation, investment report, and investment efficiency of investment in the investment link, which makes it widely concerned in the society and in enterprises.

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Section: Related Work 21 Problems Encountered In Enterprise Investmen...mentioning

confidence: 99%

Towards Promoting the Efficiency of Enterprise Investment Management with Artificial Intelligence

Cao

2024

HBEM

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“…The ongoing revolution in information and communication technologies can represent a critical enabler for further innovation and value creation in general and in the energy sector specifically (Beliz et al, 2019). When combined with innovation in end-use sectors, like health care, transport, or productive sectors, they provide opportunities for the creation of new platforms for low-carbon development.…”

Section: The Missed Opportunities Of Low-carbon Innovation In Developing Countriesmentioning

confidence: 99%

Advancing a global transition to clean energy – the role of international cooperation

et al. 2019

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International cooperation in support of a global energy transition is on the rise, and official development assistance (ODA) in the energy sector is increasingly being directed to renewable energy sources. Nevertheless, it is widely acknowledged that investment towards achieving the SDG 7 on clean and affordable energy is insufficient. Moreover, investment in clean energy remains heavily concentrated in a small number of frontrunner countries and overwhelmingly targets grid-connected electricity generation. Worryingly, significant share of international public sector financeing, most notably by export-credit agencies, is still allocated to coal and other fossil-based technologies. Against this background, this paper makes three recommendations for strengthening international cooperation in support of a global energy transition. (1) Promote investment in clean energy and end support for coal-based energy infrastructure. OECD and G20 countries should lead the way by discontinuing all public investment support for new coal-based energy infrastructure and establish guidelines for support to other fossil-based investments. (2) Promote evidence-policy dialogue on the socio-economic dimension of the global energy transition. International cooperation should play an active role in mobilising socio-economic benefits and address potential risks by supporting evidencebased policy dialogue based on robust assessments at both the country and global levels. (3) Provide early market support to promote challenge-based energy innovation. SE4ALL or Mission Innovation should create multi-stakeholder, challenge-based initiatives to promote clean energy innovation in developing and emerging economies and foster early market demand for related products or services. JELO12 O13 Q38

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“…Further to the above, Kumar, et al, (1999) extended that technology has two components, a physical one consisting of tangible products or equipment and the informational component, which is made of intangible aspects such as the know-how in management, and production, marketing and other functional areas. Technology is closely associated with knowledge, and its application or usage is always directed at attaining specific results, solving problems or actioning specific tasks, and it requires knowledge or skill of use (Lan & Young, 1996;Beliz, et al, 2019). In the current industrial revolution, examples of technologies include artificial intelligence, robotics, autonomous vehicles, nanotechnology, biotechnology, materials science and quantum computing (Akileswaran & Hutchinson, 2019;Bashir, et al, 2021).…”

Section: Digital Technologymentioning

confidence: 99%

The impact of the acceleration of innovation strategies in service delivery performance within the Fourth Industrial Revolution era: a case of a provincial public institution.

Mzileni

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The world is currently in the Fourth Industrial Revolution, characterised by fast-advancing digital technologies. Digital technologies such as the internet of things, artificial intelligence, robotics, autonomation, 3D printing, cloud computing, nanotechnology, and many other similar technologies, directly and indirectly affect the way of life. This direct and indirect effect is prolificated by the ability of digital technologies to influence communication, information, knowledge and daily operations in all aspects of life at home, in society and at the workplace level. The growth or advances of digital technologies is said to be at an unprecedented speed. It comes with rapid changes that have made the 21st-century global economy and environment volatile, uncertain, complex and ambiguous. This complex nature of the modern environment presents uncertainties, and amid it, organisations must deal with the changes and continue to operate efficiently and effectively. As a result, there has been an observed paradigm shift in public service delivery and administration where governments across the world utilise information and communication technology, digital technologies and the Internet to improve operations and service delivery. For instance, innovation strategies such as e-Government exemplify the adoption and utilisation of technologies in state services. This study aimed to investigate the impact of the accelerating innovation strategies in service delivery within this Fourth Industrial Revolution era. A qualitative approach to best respond to the research questions and used purposive sampling to identify the most relevant participants. The population of this study was KwaZulu Natal Treasury employees and study size and sample was eight staff members from the IT and Systems Units within Treasury. Data was collected through open-ended semi-structured interviews. The collected data was reviewed, synthesised and interpreted through thematic analysis. A rigorous analysis of primary data led to the findings of unequal levels of innovation within Treasury. Implying that some units or departments invest in innovations more than others. Further findings showed that the adopted innovations proved to be beneficial in terms of improving service delivery. Leading to the conclusion that taking full advantage of innovation technologies and systems could be advantageous for the department. Additionally, this study found that adopting 4IR technologies, digital services, ICT infrastructure, and innovation strategies relies on budget sufficiency. Therefore, accelerating innovation systems and processes in service delivery requires the department, its leaders, and management to embrace and invest in innovation.

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Harnessing the opportunities of inclusive technologies in a global economy

Cited by 6 publications

References 8 publications

Towards Promoting the Efficiency of Enterprise Investment Management with Artificial Intelligence

Towards Promoting the Efficiency of Enterprise Investment Management with Artificial Intelligence

Advancing a global transition to clean energy – the role of international cooperation

The impact of the acceleration of innovation strategies in service delivery performance within the Fourth Industrial Revolution era: a case of a provincial public institution.

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