Redefining Motivation in Digital Transformation

2020 ◽  
pp. 141-173
Author(s):  
Václav Cejthamr
Keyword(s):  
Artificial Intelligence ◽  
Organizational Transformation ◽  
Hierarchical Structures ◽  
Organizational Structures ◽  
Digital Transformation ◽  
Self Control ◽  
Self Management ◽  
Organizational Systems ◽  
Rapid Pace ◽  
Decentralized Management

The rapid pace of change and the rapid growth of technology, especially artificial intelligence, are accelerating the pace of organizational transformation in enterprises. Organizations must be able to respond appropriately. Hierarchical structures still dominate current organizational systems. One way to respond adequately to today's challenges is to introduce flat organizational structures that represent a specific decentralized management system. Flat organizational structures, represented mainly by holacracy, require other ways of motivating workers, mostly predominantly millennials. In addition, organizations can no longer count on employee loyalty. However, boss-less organizations that rely on self-management and self-control are not suitable for every employee, and the concept of self-management and the boss-less organization has to be further developed and adjusted. The solution can be to redesign a traditional hierarchical model of needs that should be adapted and targeted to the current needs of flat organization employees that no longer count on managers.

About digital transformation of the transport industry in Russia

2020 ◽  
Vol 19 (3) ◽  
pp. 95-105
Author(s):  
Natalia V. Vysotskaya ◽  
T. V. Kyrbatskaya
Keyword(s):  
Artificial Intelligence ◽  
Business Model ◽  
Data Science ◽  
Digital Transformation ◽  
Digital Culture ◽  
Blockchain Technology ◽  
Community Approach ◽  
Non Linear ◽  
Transport Industry ◽  
Artificial Intelligence Systems

The article is devoted to the consideration of the main directions of digital transformation of the transport industry in Russia. It is proposed in the process of digital transformation to integrate the community approach into the company's business model using blockchain technology and methods and results of data science; complement the new digital culture with a digital team and new communities that help management solve business problems; focus the attention of the company's management on its employees and develop those competencies in them that robots and artificial intelligence systems cannot implement: develop algorithmic, computable and non-linear thinking in all employees of the company.

scholarly journals The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic

2021 ◽  
Author(s):  
Francesco Piccialli ◽  
Vincenzo Schiano di Cola ◽  
Fabio Giampaolo ◽  
Salvatore Cuomo
Keyword(s):  
Artificial Intelligence ◽  
Clinical Trials ◽  
Digital Transformation ◽  
Daily Activities ◽  
Commercial Vehicles ◽  
Human Skills ◽  
To Come ◽  
Complex Scenario ◽  
The Impact

AbstractThe first few months of 2020 have profoundly changed the way we live our lives and carry out our daily activities. Although the widespread use of futuristic robotaxis and self-driving commercial vehicles has not yet become a reality, the COVID-19 pandemic has dramatically accelerated the adoption of Artificial Intelligence (AI) in different fields. We have witnessed the equivalent of two years of digital transformation compressed into just a few months. Whether it is in tracing epidemiological peaks or in transacting contactless payments, the impact of these developments has been almost immediate, and a window has opened up on what is to come. Here we analyze and discuss how AI can support us in facing the ongoing pandemic. Despite the numerous and undeniable contributions of AI, clinical trials and human skills are still required. Even if different strategies have been developed in different states worldwide, the fight against the pandemic seems to have found everywhere a valuable ally in AI, a global and open-source tool capable of providing assistance in this health emergency. A careful AI application would enable us to operate within this complex scenario involving healthcare, society and research.

scholarly journals Application of artificial intelligence in pancreaticobiliary diseases

2021 ◽  
Vol 14 ◽  
pp. 263177452199305
Author(s):  
Hemant Goyal ◽  
Rupinder Mann ◽  
Zainab Gandhi ◽  
Abhilash Perisetti ◽  
Zhongheng Zhang ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Response To Treatment ◽  
Endoscopic Retrograde ◽  
Artificial Intelligence Techniques ◽  
Computer Aided ◽  
Rapid Pace ◽  
Cystic Pancreatic Lesions ◽  
Aided Diagnosis

The role of artificial intelligence and its applications has been increasing at a rapid pace in the field of gastroenterology. The application of artificial intelligence in gastroenterology ranges from colon cancer screening and characterization of dysplastic and neoplastic polyps to the endoscopic ultrasonographic evaluation of pancreatic diseases. Artificial intelligence has been found to be useful in the evaluation and enhancement of the quality measure for endoscopic retrograde cholangiopancreatography. Similarly, artificial intelligence techniques like artificial neural networks and faster region-based convolution network are showing promising results in early and accurate diagnosis of pancreatic cancer and its differentiation from chronic pancreatitis. Other artificial intelligence techniques like radiomics-based computer-aided diagnosis systems could help to differentiate between various types of cystic pancreatic lesions. Artificial intelligence and computer-aided systems also showing promising results in the diagnosis of cholangiocarcinoma and the prediction of choledocholithiasis. In this review, we discuss the role of artificial intelligence in establishing diagnosis, prognosis, predicting response to treatment, and guiding therapeutics in the pancreaticobiliary system.

Das Zeitalter der Künstlichen Intelligenz als Herausforderung für die Parlamente

2021 ◽  
Vol 52 (1) ◽  
pp. 159-181
Author(s):  
Arne Pilniok
Keyword(s):  
Artificial Intelligence ◽  
Digital Technologies ◽  
Digital Transformation ◽  
Processes Of Change ◽  
Parliamentary Democracy ◽  
Democratic Representation ◽  
Government Administration ◽  
Technological Developments ◽  
Different Dimensions ◽  
The Government

The digital transformation is permanently changing the government, administration, and society . This process is being intensified by the much-discussed technologies of artificial intelligence, and poses a variety of challenges for parliaments and indirectly for parliamen­tary studies . Their different dimensions have not been discussed comprehensively so far, although the technological developments affect all parliamentary functions and their prem­ises . This article systematizes and structures the various effects of the age of artificial intel­ligence on parliamentary democracy . Namely, the conditions of democratic representation change, the innovation-friendly regulation of digital technologies becomes a parliamentary task, parliamentary control has to be adjusted to the use of algorithms and artificial intelli­gence in government and administration, and possibly, the epistemological and organiza­tional structures of parliamentary work might have to be adapted . This provides starting points for future detailed analyses to adequately capture these processes of change and to accompany them from different disciplinary perspectives .

Who’s making the decisions? How managers can harness artificial intelligence and remain in charge

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pooya Tabesh
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Decision Making ◽  
Big Data ◽  
Digital Transformation ◽  
Decision Processes ◽  
Decision Makers ◽  
Content Type ◽  
Human Decision ◽  
Practical Implications

Purpose While it is evident that the introduction of machine learning and the availability of big data have revolutionized various organizational operations and processes, existing academic and practitioner research within decision process literature has mostly ignored the nuances of these influences on human decision-making. Building on existing research in this area, this paper aims to define these concepts from a decision-making perspective and elaborates on the influences of these emerging technologies on human analytical and intuitive decision-making processes. Design/methodology/approach The authors first provide a holistic understanding of important drivers of digital transformation. The authors then conceptualize the impact that analytics tools built on artificial intelligence (AI) and big data have on intuitive and analytical human decision processes in organizations. Findings The authors discuss similarities and differences between machine learning and two human decision processes, namely, analysis and intuition. While it is difficult to jump to any conclusions about the future of machine learning, human decision-makers seem to continue to monopolize the majority of intuitive decision tasks, which will help them keep the upper hand (vis-à-vis machines), at least in the near future. Research limitations/implications The work contributes to research on rational (analytical) and intuitive processes of decision-making at the individual, group and organization levels by theorizing about the way these processes are influenced by advanced AI algorithms such as machine learning. Practical implications Decisions are building blocks of organizational success. Therefore, a better understanding of the way human decision processes can be impacted by advanced technologies will prepare managers to better use these technologies and make better decisions. By clarifying the boundaries/overlaps among concepts such as AI, machine learning and big data, the authors contribute to their successful adoption by business practitioners. Social implications The work suggests that human decision-makers will not be replaced by machines if they continue to invest in what they do best: critical thinking, intuitive analysis and creative problem-solving. Originality/value The work elaborates on important drivers of digital transformation from a decision-making perspective and discusses their practical implications for managers.

scholarly journals The Evolving Role of IT Departments in Digital Transformation

2018 ◽  
Vol 10 (10) ◽  
pp. 3706 ◽  
Author(s):  
Che-Chuan Hsu ◽  
Rua-Huan Tsaih ◽  
David Yen
Keyword(s):  
Information And Communication Technologies ◽  
Organizational Transformation ◽  
Dominant Role ◽  
Digital Transformation ◽  
Leadership Role ◽  
Digital Era ◽  
Information And Communication ◽  
It Departments ◽  
Role Of It

In the digital era, organizations are increasingly tasked with creating and utilizing new content, applications, and/or services through the use of advanced information and communication technologies (ICT) to sustain a competitive advantage. Indeed, sustainability is now an embedded and overarching feature of organizations’ strategic planning. Research has shown that information technology (IT) departments are vital to organizations’ digital transformation. However, the role of IT departments in non-ICT-oriented organizations undergoing digital transformation has yet to be explored. Our study reveals that although the IT departments of non-ICT-oriented organizations play an important and proactive role in the early stages of organizational transformation and a dominant role in developing ICT capabilities, they will be unable to assume a leadership role within the organizations after transformation is complete.

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