Prospects for cybersecurity to end-2022

Subject Prospects for cybersecurity in 2022. Significance The COVID-19 pandemic has intensified multiple cybersecurity issues that are likely to be salient in 2022 and beyond. Organisations face increased pressure to provide security for remote workers, prevent phishing and ransomware attacks, and deploy new technologies such as artificial intelligence (AI) systems safely. Meanwhile, geopolitical tensions in cyberspace have also intensified, particularly since the damaging cyberattacks against prominent US targets by Russian and Chinese state actors and criminal hackers.

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marcelo Cajias

PurposeDigitalisation and AI are the most intensively discussed topics in the real estate industry. The subject aims at increasing the efficiency of existing processes and the institutional side of the industry is really interested. And in some ways, this is a breakthrough. This article elaborates on the current status quo and future path of the industry.Design/methodology/approachThe real estate industry is evolving, and parts of the business are increasingly being conquered by “proptechs” and “fintechs”. They have come into real estate to stay not because they discovered inefficiencies in the way one manages and does business with real estate, but because they come with an arsenal of new technologies that can change the whole game. The article discusses a path for changing the game in real estate.Findings“location, location, location” has now evolved to “data, data, data”. However, there is one essential aspect that must be considered before the latter can become the real value creator: the ability of market players to analyse data. And this does not mean being an excellent Excel user. The near future sees a solution called Explainable Artificial Intelligence (XAI) meaning that the econometric world constructed decades ago has an expiry date.Originality/valueOne needs to delete two myths from their mind: data quantity is proportional to accurate insights and that bringing your data to a cloud will deliver you with all the insights your business needs almost immediately.


2019 ◽  
Vol 18 (2) ◽  
pp. 62-65
Author(s):  
Tammy Cohen

Purpose This paper aims to provide insights into how artificial intelligence can be used to eliminate bias in employee screening. Design/methodology/approach Industry use cases and expert analytics were used in conducting this paper. Findings Artificial intelligence if used correctly can help to build more diverse and inclusive teams and eliminate bias. Originality/value This paper shows how leveraging new technologies such as AI can cut down on bias across employee screenings.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rhiannon Firth ◽  
Andrew Robinson

PurposeThis paper maps utopian theories of technological change. The focus is on debates surrounding emerging industrial technologies which contribute to making the relationship between humans and machines more symbiotic and entangled, such as robotics, automation and artificial intelligence. The aim is to provide a map to navigate complex debates on the potential for technology to be used for emancipatory purposes and to plot the grounds for tactical engagements.Design/methodology/approachThe paper proposes a two-way axis to map theories into to a six-category typology. Axis one contains the parameters humanist–assemblage. Humanists draw on the idea of a human essence of creative labour-power, and treat machines as alienated and exploitative form of this essence. Assemblage theorists draw on posthumanism and poststructuralism, maintaining that humans always exist within assemblages which also contain non-human forces. Axis two contains the parameters utopian/optimist; tactical/processual; and dystopian/pessimist, depending on the construed potential for using new technologies for empowering ends.FindingsThe growing social role of robots portends unknown, and maybe radical, changes, but there is no single human perspective from which this shift is conceived. Approaches cluster in six distinct sets, each with different paradigmatic assumptions.Practical implicationsMapping the categories is useful pedagogically, and makes other political interventions possible, for example interventions between groups and social movements whose practice-based ontologies differ vastly.Originality/valueBringing different approaches into contact and mapping differences in ways which make them more comparable, can help to identify the points of disagreement and the empirical or axiomatic grounds for these. It might facilitate the future identification of criteria to choose among the approaches.


Significance Freed from the EU’s control, London insists, the United Kingdom could become a hub for new technologies. To this end, besides setting out some other objectives, it has prepared a ten-year strategy to foster innovation in artificial intelligence (AI) systems. Impacts UK plans to adapt GDPR to favour business and innovation will be opposed by consumer and privacy activists, possibly in courts. Regulatory divergence with the EU in critical sectors such as the digital economy will hurt UK-EU ties. The UK government may struggle to benefit from partnerships developed in the EU-US Trade and Technology Council.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amal Dabbous ◽  
Karine Aoun Barakat ◽  
May Merhej Sayegh

Purpose As artificial intelligence (AI) has become increasingly popular and accessible, most companies have recognized its far-reaching potential. However, despite numerous research papers on organizational adoption of new technologies including AI, little is known about individual employees’ intentions to use them. Given that organizational innovations are of limited value if they are not adopted by employees, the purpose of this study is to understand the underlying factors that push employees to make use of these new technologies in the workplace. Design/methodology/approach This study builds on previously developed technology acceptance models to provide a new theoretical model. The model is then tested using data collected from a survey of 203 employees and analyzed through structural equation modeling. Findings Findings show that five factors affect employees’ intention to use AI either directly or as mediators. Organizational culture and habit exert a positive impact on employees’ intention to use AI, whereas job insecurity has a negative impact. Perceived self-image and perceived usefulness fully mediate the relation between job insecurity and intention to use. Moreover, perceived self-image and perceived usefulness partially mediate the relationship between habit and intention to use. Originality/value To the best of the authors’ knowledge, this study is among the first to determine the factors that influence employees’ intention to use AI in general and more particularly chatbots within the workplace.


Significance While many industries have been transformed by the development of such new digital technologies as data analytics and artificial intelligence, the oil and gas industry has been a laggard. That is starting to change as the industry looks to new technologies to help it become more efficient and productive. The oil price downturn, which has put a premium on cost cutting, has accelerated the move to take up new technologies. The opportunity is significant, with a World Economic Forum report (pdf) from earlier this year claiming that the industry could generate 1 trillion dollars in added value over the next decade by embracing digitisation. Impacts Local communities in oil-producing regions face disruption as digitisation reduces employment and puts a premium on high-tech skills. The oil industry will be a significant new market for tech firms working on artificial intelligence, machine learning and automation. Embracing new technologies could help the oil industry attract younger workers, a key challenge as a wave of older talent retires.


2020 ◽  
Vol 11 (2) ◽  
pp. 343-367 ◽  
Author(s):  
Dimitra Samara ◽  
Ioannis Magnisalis ◽  
Vassilios Peristeras

Purpose This paper aims to research, identify and discuss the benefits and overall role of big data and artificial intelligence (BDAI) in the tourism sector, as this is depicted in recent literature. Design/methodology/approach A systematic literature review was conducted under the McKinsey’s Global Institute (Talwar and Koury, 2017) methodological perspective that identifies the four ways (i.e. project, produce, promote and provide) in which BDAI creates value. The authors enhanced this analysis methodology by depicting relevant challenges as well. Findings The findings imply that BDAI create value for the tourism sector through appropriately identified disseminations. The benefits of adopting BDAI strategies include increased efficiency, productivity and profitability for tourism suppliers combined with an extremely rich and personalized experience for travellers. The authors conclude that challenges can be bypassed by adopting a BDAI strategy. Such an adoption will stand critical for the competitiveness and resilience of existing established and new players in the tourism sector. Originality/value Besides identifying the benefits that BDAI brings in the tourism sector, the research proposes a guidebook to overcome challenges when introducing such new technologies. The exploration of the BDAI literature brings important implication for managers, academicians and consumers. This is the first systematic review in an area and contributes to the broader e-commerce marketing, retailing and e-tourism research.


Author(s):  
Kathie J. Shaffer ◽  
Carol J. Gaumer ◽  
Kiersten P. Bradley

Purpose Managers are expected to increase productivity in the most cost-efficient manner, using all available resources and, “work smarter.” As technology improves, there is greater incentive for managers to invest in options where automation becomes less expensive than the high cost of human capital. When repetitive tasks can be accurately duplicated through automation, the decision becomes a fait accompli. Advances in artificial intelligence (AI) or synthetic intelligence that simulates human intellectual function has significant impact potential in the service sector. This paper examines productivity efficiencies sought through artificial intelligence and the need for re-training, specifically in the accounting profession. Design/methodology/approach This is a conceptual paper for practitioners without research methodology. Findings The accounting profession 10 years from now will look noticeably different than it does now. The accountants, who embrace the new technologies, like artificial intelligence, will survive and even thrive by becoming more specialized. This will require training and, in some instances, re-training. Organizations must be willing to absorb those development costs. I hope that new graduates will enter the profession with updated skills providing added value for organizations and employers who started into the profession many years ago. The biggest challenge may lie in the re-training of accountants who have been in practice for many years and managing the resistance to change. Employers must first set the example by accepting the inevitable and then encourage and support employees to improve and update their skills. Additionally, they will have to coach employees through the changes with reassurance that those who embrace the change will experience less chance of job elimination. Embracing the available technology will enable firms to serve clients more efficiently and effectively by providing up to date business solutions regardless of the services being offered. Research limitations/implications There is no empirical research in this paper. It is a conceptual piece looking at the changing organization in accounting, specifically due to artificial intelligence. Practical implications Accounting firms that focus on basic accounting functions should find new services to offer. The same clients can be served, but at a higher-level. Accountants will offer more value to clients by detecting patterns and trends when more time can be devoted to analysis. Helping clients beyond the preparation of documents requires that accountants understand the current market conditions and potential effects of inflation and, engage in more critical thinking while at the same time be able to teach clients and help them understand at the higher level. Just as accountants’ responsibilities and duties will be transformed through the integration of AI, accounting education must be altered. Social implications Implications related to the workplace are only discussed in this paper. Originality/value It is not completely original. It is a compilation of research that is out there as a means to address critical workforce training needs in accounting as technology moves forward.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
JungWon Yoon ◽  
James E. Andrews ◽  
Heather L. Ward

PurposeThis study aims to understand how artificial Intelligence (AI) and related technologies are currently being utilized in public and academic libraries and how librarians perceive the adoption of new technologies in their relative libraries.Design/methodology/approachUsing an online survey questionnaire, the authors collected survey responses from both public and academic librarians that were subscribed to information science-centered listservs in North America. The quantitative survey responses (N = 242) were measured through use of multiple chi-square tests and crosstab analyses.FindingsThe current use and awareness of AI and related technologies were more reported from academic librarians; however, public librarians' reported perceptions on such technologies were generally more positive. In all, 67% of them responded that AI and related technologies will transform the library's functions, and 68% of librarians reported that they are interested in training. This study discussed the significance of training for preparing librarians for AI and related technologies and the further examination on the role of librarians in the new era.Originality/valueThis study examined public and academic librarians' perceptions toward the adoption of six emerging technologies which often appear in the LIS literature as well as addressed as the Fourth Industrial Revolution technologies.


Kybernetes ◽  
2016 ◽  
Vol 45 (8) ◽  
pp. 1257-1272 ◽  
Author(s):  
Hooman Samani

Purpose The purpose of this paper is to propose a novel method for evaluation of human-robot affection. The model is inspired by the scientific methods of human-human love evaluation. This paper would benefit the researchers in the field of developing new technologies where emotional interaction is involved. Design/methodology/approach Among the two available options of Functional Magnetic Resonance Imaging (fMRI) and user study, the latter is adopted and the conventional method of Love Attitude Scale is transformed for human-robot interaction as Lovotics (love + robotics) Love Attitude Scale. A user study is conducted to evaluate the emotional effect of interaction with the robot. Findings The proposed method is employed in order to evaluate the performance of Lovotics robot. In total, 20 users experienced interaction with Lovotics robot and answered questionnaires which were designed based on the psychology of love, especially to measure love scales between the participants and the robot. Data from the user study are analyzed statistically to evaluate the overall performance of the designed robot. Research limitations/implications Various aspects including human to robot love styles, robot to human love styles, overall love values and gender study are investigated during the data analysis. The concept of human-robot affection is still in initial stage of development. Personal and social robots are increasing and much limitation from artificial intelligence, mechanical development and integration still exist. Practical implications This is a multidisciplinary research field utilizing fundamentals concepts from robotics, artificial intelligence, philosophy, psychology, biology, anthropology, neuroscience, social science, computer science and engineering. Social implications Considering the recent technical advancement in robotics which is brining robots closer to home, this paper aims to bridge the gap between human and robot affection measurement. The final goal is to introduce robots to the society which are useful and can be especially used to take care of those in need such as elderly. Originality/value This paper is one of the first kind to get inspired from scientific human love evaluation methods and apply that to human-robot application.


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