Profiting From Digital Transformation?

2021 ◽  
Vol 12 (5) ◽  
pp. 68-79
Author(s):  
Ulrich Lichtenthaler
Keyword(s):  
Artificial Intelligence ◽  
Digital Transformation ◽  
Superior Performance ◽  
Business Operations ◽  
Combining Data ◽  
New Knowledge ◽  
Business Opportunities ◽  
Recent Trends ◽  
Advanced Analytics

Many companies have recently started digital transformation initiatives, and they now increasingly focus on artificial intelligence (AI). By means of smart algorithms and advanced analytics, firms attempt to leverage some of the results of their ongoing digital transformation initiatives, for example with regard to data about their established business operations. A conceptual framework underscores the need for combining data management and AI initiatives in order to ensure a firm's digital readiness and to realize digital business opportunities subsequently. An overview of recent trends further illustrates how different companies respond to these managerial challenges. This paper contributes to the literature on digitalization, AI, and ‘integrated intelligence' by highlighting the role of AI for leveraging data from digital transformation initiatives. Specifically, the use of AI applications helps companies to turn data into valuable knowledge and intelligence. In addition, this paper provides new knowledge about achieving superior performance in the digital economy.

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.

The digital transformation of SMEs – a new knowledge broker called the digital innovation hub

2020 ◽  
Vol 24 (6) ◽  
pp. 1263-1288 ◽  
Author(s):  
Antonio Crupi ◽  
Nicola Del Sarto ◽  
Alberto Di Minin ◽  
Gian Luca Gregori ◽  
Dominique Lepore ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Design Methodology ◽  
Digital Transformation ◽  
National Plan ◽  
Digital Innovation ◽  
Content Type ◽  
Depth Interview ◽  
New Knowledge ◽  
Knowledge Brokers

Purpose This study aims to understand if and how European digital innovation hubs (DIHs) filling the role of knowledge brokers (KBs) can support the digital transformation (DX) of small and medium-sized enterprises (SMEs) by triggering open innovation (OI) practices. Design/methodology/approach After presenting a conceptual model of reference, a survey and a subsequent in-depth interview were conducted to capture evidence from Italian DIHs. These structures were selected for their growing importance, as confirmed by the National Plan for Industry 4.0. Findings The findings highlight that Italian DIHs act not only as KBs but also as knowledge sources that give rise to a digital imprinting process that is able to shape the DX of SMEs. Originality/value Research on knowledge sharing and OI has mainly focused on large firms. The study covers the gaps identified in the literature by considering the role of KBs in enabling SMEs to embrace DX.

An Empirical Analysis of Artificial Intelligence, Big Data and Analytics Applications in Exploration and Production Operations

2021 ◽  
Author(s):  
Armstrong Lee Agbaji
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Empirical Analysis ◽  
Oil And Gas ◽  
Oil Industry ◽  
Digital Transformation ◽  
Deep Dive ◽  
Exploration And Production ◽  
Oil And Gas Operations

Abstract Oil and Gas operations are now being "datafied." Datafication in the oil industry refers to systematically extracting data from the various oilfield activities that are naturally occurring. Successful digital transformation hinges critically on an organization's ability to extract value from data. Extracting and analyzing data is getting harder as the volume, variety, and velocity of data continues to increase. Analytics can help us make better decisions, only if we can trust the integrity of the data going into the system. As digital technology continues to play a pivotal role in the oil industry, the role of reliable data and analytics has never been more consequential. This paper is an empirical analysis of how Artificial Intelligence (AI), big data and analytics has redefined oil and gas operations. It takes a deep dive into various AI and analytics technologies reshaping the industry, specifically as it relates to exploration and production operations, as well as other sectors of the industry. Several illustrative examples of transformative technologies reshaping the oil and gas value chain along with their innovative applications in real-time decision making are highlighted. It also describes the significant challenges that AI presents in the oil industry including algorithmic bias, cybersecurity, and trust. With digital transformation poised to re-invent the oil & gas industry, the paper also discusses energy transition, and makes some bold predictions about the oil industry of the future and the role of AI in that future. Big data lays the foundation for the broad adoption and application of artificial intelligence. Analytics and AI are going to be very powerful tools for making predictions with a precision that was previously impossible. Analysis of some of the AI and analytics tools studied shows that there is a huge gap between the people who use the data and the metadata. AI is as good as the ecosystem that supports it. Trusting AI and feeling confident with its decisions starts with trustworthy data. The data needs to be clean, accurate, devoid of bias, and protected. As the relationship between man and machine continues to evolve, and organizations continue to rely on data analytics to provide decision support services, it is imperative that we safeguard against making important technical and management decisions based on invalid or biased data and algorithm. The variegated outcomes observed from some of the AI and analytics tools studied in this research shows that, when it comes to adopting AI and analytics, the worm remains buried in the apple.

The Role of Artificial Intelligence Within the Scope of Digital Transformation in Enterprises

2020 ◽  
pp. 122-146 ◽  
Author(s):  
M. Hanefi Calp
Keyword(s):  
Artificial Intelligence ◽  
Problem Solving ◽  
Digital Transformation ◽  
New Era ◽  
Artificial Intelligence Techniques ◽  
Reasoning Problem ◽  
Analytical Thinking ◽  
Effective Service

Digital transformation, which is the beginning of a new era, and performed in order to provide a more effective service, has become a compulsory situation for the enterprises that take into account the increasing corporate volumes. However, the processes and technologies used in this transformation may change according to the enterprise volume and needs. At this point, activities that implement artificial intelligence technologies will make significant contributions to digital transformation. Artificial intelligence technologies serve many purposes such as search, reasoning, problem-solving, perception, learning, estimating, analytical thinking, optimization, and planning. The purpose of this chapter is to demonstrate the effects of artificial intelligence techniques on the processes of digital transformation utilized in enterprises by considering the difficulties experienced in the realization of digital transformation. It is expected that the study will provide a perspective for other studies on digital transformation and thus create an awareness.

Streamlining Business Operations in Civil Construction Using AI

2021 ◽  
pp. 210-232
Keyword(s):  
Artificial Intelligence ◽  
Work Environment ◽  
Information Modeling ◽  
Manufacturing Processes ◽  
Business Operations ◽  
Building Information ◽  
Decision Making Processes ◽  
Human Fatigue ◽  
Threat To Life

The concept of artificial intelligence stems from the approach to empower machines to act independently of their human masters. This has been found to be extremely useful in situations where routine or repetitive actions are required to be taken based on given data patterns for which complex algorithms and decision-making processes are required to be executed. In such cases, AI has been proved to be effective in replacing humans. While instances of AI substituting humans may appear to pose potential threats to jobs, induction of AI in manufacturing processes can reduce instances of accidents owing to human fatigue or otherwise threat to life and limb working in dangerous environments. In this chapter, the authors discuss the role of artificial intelligence in building information modeling and knowledge management. They also explain how AI can be used as a building block for a safer and productive work environment.

scholarly journals Performance effects of intra- and inter-regional expansion: the moderating role of firm-specific advantages

2016 ◽  
Vol 14 (3) ◽  
pp. 8-20 ◽  
Author(s):  
Arkadiusz Ral-Trebacz ◽  
Stefan Eckert
Keyword(s):  
Empirical Work ◽  
Superior Performance ◽  
Performance Impact ◽  
Performance Effect ◽  
Business Operations ◽  
Positive Performance ◽  
Performance Effects ◽  
And Performance ◽  
Moderating Role

Recent empirical work suggests that the business operations of multinational companies are rather regional than global. The authors analyze the performance impact of intra-regional (as opposed to inter-regional) expansion among companies from six West European countries. Using multilevel modeling, the authors find that an increase in a firm’s degree of regionalization leads to superior performance. The results reveal that an inter-regional strategy does not seem to be a profitable expansion option. Moreover, while examining the moderating impact of firms’ FSAs on the link between intra-regional expansion and performance, the empirical findings suggest that marketing-related FSAs tend to be more regional-bound in nature and support the positive performance effect of intra-regional expansion

The role of human resource practices in the implementation of digital transformation

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Álvaro Nicolás-Agustín ◽  
Daniel Jiménez-Jiménez ◽  
Francisco Maeso-Fernandez
Keyword(s):  
Resource Management ◽  
Human Resource Management ◽  
Human Resource ◽  
Strategic Alignment ◽  
Digital Transformation ◽  
Superior Performance ◽  
Human Resource Practices ◽  
Content Type ◽  
Transformation Processes

PurposeProfessionals and academics need to know what human resource practices are necessary in this Industry 4.0 environment and digital revolution. This research studies some human resource practices in the digital age that favor the implementation of digital transformation. The authors’ arguments suggest that for personnel to be a key asset in digital transformation processes, a strategic alignment is necessary to drive the company toward these objectives.Design/methodology/approachThe hypotheses were tested in a representative sample of 184 manufacturing companies with ten or more employees located in the southeast of Spain, using partial least squares.FindingsThe authors’ findings show that human resource practices partially mediate the relationship between strategic alignment and digital transformation. Based on the contingent approach, the authors also maintain that the company must implement human resource practices that encourage employee behaviors that are consistent with the organization's strategy. This strategic alignment and these human resource practices enable companies to achieve digital transformation in search of superior performance.Research limitations/implicationsLongitudinal and multilevel studies could increase the strength of the research, which could also include companies from other sectors. Although the technology component is fundamental in digital transformation processes, human capital management is even more important. This research highlights the mediating role of human resource management, where practices such as teleworking, teamwork and employee engagement are essential to foster innovative behavior and implement the digital transformation process.Practical implicationsIn the new digital environment, companies must adopt a set of human resource practices that favor innovative employee behavior that helps digitally transform their businesses.Originality/valueTo the best of authors’ knowledge, this empirical study has not been previously carried out. The theoretical model and hypothesis testing provide strategic value for understanding some of the determinants of digital transformation in relation to human resource management.

scholarly journals Data Science Applications in Pandemic: A survey on COVID-19 Outbreak Tools

2021 ◽  
Author(s):  
Amal Alzhrani ◽  
Ahmad salem Almalki
Keyword(s):  
Artificial Intelligence ◽  
Saudi Arabia ◽  
Data Science ◽  
Digital Transformation ◽  
Smartphone Apps ◽  
Multiple Data ◽  
The World ◽  
Vision 2030

Abstract While the world steps backward, Saudi Arabia took two steps forward. the Saudi Vision 2030 framework was launched in 2017 to create digital transformation in the various sector to improve the quality of life. The COVID-19 has made it possible to promote and test the strength of digital transformation and adoption. In Saudi Arabia, the use of artificial intelligence applications to integrate multiple data sources across potential outbreaks should be further discussed. Decreasing the number of smartphone apps and combining their features may also improve and encourage their use. In this paper, in this paper we present an exhaustive survey on COVID-19 outbreak tools/apps and the role of Saudi Data and Artificial Intelligence Authority (SDAIA).

Management of Economics and State "Bottom"

2020 ◽  
Vol 17 (6) ◽  
pp. 76-91
Author(s):  
E. D. Solozhentsev
Keyword(s):  
Quality Of Life ◽  
Artificial Intelligence ◽  
Probabilistic Models ◽  
Human Life ◽  
Special Software ◽  
Human Quality ◽  
Relationship Of ◽  
The Relationship

The scientific problem of economics “Managing the quality of human life” is formulated on the basis of artificial intelligence, algebra of logic and logical-probabilistic calculus. Managing the quality of human life is represented by managing the processes of his treatment, training and decision making. Events in these processes and the corresponding logical variables relate to the behavior of a person, other persons and infrastructure. The processes of the quality of human life are modeled, analyzed and managed with the participation of the person himself. Scenarios and structural, logical and probabilistic models of managing the quality of human life are given. Special software for quality management is described. The relationship of human quality of life and the digital economy is examined. We consider the role of public opinion in the management of the “bottom” based on the synthesis of many studies on the management of the economics and the state. The bottom management is also feedback from the top management.

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.

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