scholarly journals Will Artificial Intelligence Change Strategic Top Management Competencies?

2019 ◽  
Vol 6 (4) ◽  
pp. 34
Author(s):  
M S S El Namaki
Keyword(s):  
Artificial Intelligence ◽  
Strategic Behavior ◽  
Wide Spectrum ◽  
Strategic Thinking ◽  
Top Management ◽  
Fundamental Change ◽  
Management Competencies ◽  
Revolutionary Change ◽  
Executive Competencies ◽  
Intelligent Behavior

<p>The probability is high that Artificial Intelligence (AI) will provide the answer to future product and market innovations.  It has the ability to induce a fundamental change in products, markets, models, and paradigms. Manufacturing and a wide spectrum of services are undergoing a near-revolutionary change driven by AI delivered innovations. Computing equipment capable of what one may term partial and quasi-intelligent behavior is the trigger. Ways and means of converting this new phenomenon into the strategic behavior of firms is a murky process today. Yet this process will create new premises for strategic thinking and, in the process, new demands on executive competencies.</p>

scholarly journals Innovative approaches to the development of strategic planning and management

2021 ◽  
Vol 284 ◽  
pp. 07030
Author(s):  
Natalia Strekalova ◽  
Elena Korchagina ◽  
Larisa Desfonteines
Keyword(s):  
Strategic Planning ◽  
Process Model ◽  
Thinking Skills ◽  
Business Practice ◽  
Strategic Thinking ◽  
Integrative Approach ◽  
Strategic Analysis ◽  
Management Competencies ◽  
Planning Development

The article discusses modern concepts and approaches to the strategic planning development and managers’ strategic thinking formation. Today the strategic thinking is considered as one of the most important and most demanded management competencies. However, there is still no understanding how managers can develop that competencies. The article proposes an integrative approach based on the use of competence, process and situational approaches. The article deals with a process model of the formation of managers’ strategic thinking skills based on the use of the concept of a business model, strategic analysis, and case study. The results obtained help to increase the managers’ training effectiveness and ensure its relevance to business practice. They can also be useful for practicing managers in conducting strategic sessions and strategic planning, as well as for professionals in the field of business education.

scholarly journals How Companies are Applying AI to the Business Strategy Formulation

2019 ◽  
Vol 5 (8) ◽  
pp. 77
Author(s):  
M S S El Namaki
Keyword(s):  
Artificial Intelligence ◽  
Conceptual Framework ◽  
Business Strategy ◽  
Fundamental Change ◽  
Strategy Formulation ◽  
Strategic Behaviour ◽  
Substantial Progress ◽  
Competitive Behaviour ◽  
Definition Of ◽  
Market Strategies

Computing equipment capable of what one may term partial and quasi-intelligent behaviour, commonly referred to as Artificial Intelligence (AI), is assuming a key role in business. The probability is high that this Artificial Intelligence (AI) will lead to a fundamental change in the process of business strategy formulation as much as the very contents of this strategic behaviour. Product and market strategies and the resultant competitive behaviour will, more likely than not, be the outcome of those artificial intelligence processes and reiterations. A start is made and one can observe substantial progress in this direction. Who has done it and is there a conceptual framework behind this strategic behaviour? This will be the focus of this article The article starts with a brief definition of artificial intelligence and a basic framework of the concept. Seven case studies follow supporting the hypothesis that AI is penetrating the business strategy arena and leading to a fundamental change in the concept as much as the application. Those cases were drawn from different industries, and countries. A conceptual framework is accordingly derived and positioning of those case companies within this conceptual framework is done. The article is based on contemporary frameworks of AI and the cases are drawn from contemporary analysis of strategic behaviour. The conceptual model could provide an instrument for business AI application.

Argument Structure Models and Visualization

2009 ◽  
pp. 75-82 ◽  
Author(s):  
Ephraim Nissan
Keyword(s):  
Artificial Intelligence ◽  
Argument Structure ◽  
Intelligent Systems ◽  
Computational Models ◽  
Ad Hoc ◽  
Wide Spectrum ◽  
Tutoring Systems ◽  
Computer Tools ◽  
Legal Evidence ◽  
Visualization Tools

In order to visualize argumentation, there exist tools from multimedia. The most advanced sides of computational modeling of arguments belong in models and tools upstream of visualization tools: the latter are an interface. Computer models of argumentation come in three categories: logic-based (highly theoretical), probablistic, and pragmatic ad hoc treatments. Theoretical formalisms of argumentation were developed by logicists within artificial intelligence (and were implemented and often can be reused outside the original applications), or then the formalisms are rooted in philosophers’ work. We cite some such work, but focus on tools that support argumentation visually. Argumentation turns out in a wide spectrum of everyday life situations, including professional ones. Computational models of argumentation have found application in tutoring systems, tools for marshalling legal evidence, and models of multiagent communication. Intelligent systems and other computer tools potentially stand to benefit as well. Multimedia are applied to argumentation (in visualization tools), and also are a promising field of application (in tutoring systems). The design of networks could potentially benefit, if communication is modeled using multiagent technology.

Can humans form hierarchically embedded mental representations?

1998 ◽  
Vol 21 (5) ◽  
pp. 687-688
Author(s):  
Denise Dellarosa Cummins
Keyword(s):  
Artificial Intelligence ◽  
Problem Solving ◽  
Developmental Psychology ◽  
Mental Representations ◽  
Domain Specificity ◽  
Human Reasoning ◽  
Goal Structure ◽  
Action Sequences ◽  
Intelligent Behavior

Certain recurring themes have emerged from research on intelligent behavior from literatures as diverse as developmental psychology, artificial intelligence, human reasoning and problem solving, and primatology. These themes include the importance of sensitivity to goal structure rather than action sequences in intelligent learning, the capacity to construct and manipulate hierarchically embedded mental representations, and a troubling domain specificity in the manifestation of each.

scholarly journals A Neural Dynamic Model Based on Activation Diffusion and a Micro-Explanation for Cognitive Operations

2012 ◽  
Vol 6 (2) ◽  
pp. 1-22
Author(s):  
Hui Wei
Keyword(s):  
Artificial Intelligence ◽  
Language Processing ◽  
Cognitive Architecture ◽  
Neural Mechanism ◽  
Close Relation ◽  
Recall Rate ◽  
Neural Dynamic ◽  
Inference Problem ◽  
Neural Information ◽  
Intelligent Behavior

The neural mechanism of memory has a very close relation with the problem of representation in artificial intelligence. In this paper a computational model was proposed to simulate the network of neurons in brain and how they process information. The model refers to morphological and electrophysiological characteristics of neural information processing, and is based on the assumption that neurons encode their firing sequence. The network structure, functions for neural encoding at different stages, the representation of stimuli in memory, and an algorithm to form a memory were presented. It also analyzed the stability and recall rate for learning and the capacity of memory. Because neural dynamic processes, one succeeding another, achieve a neuron-level and coherent form by which information is represented and processed, it may facilitate examination of various branches of Artificial Intelligence (AI), such as inference, problem solving, pattern recognition, natural language processing and learning. The processes of cognitive manipulation occurring in intelligent behavior have a consistent representation while all being modeled from the perspective of computational neuroscience. Thus, the dynamics of neurons make it possible to explain the inner mechanisms of different intelligent behaviors by a unified model of cognitive architecture at a micro-level.

scholarly journals Artificial Intelligence Applications to Smart City and Smart Enterprise

2020 ◽  
Vol 10 (8) ◽  
pp. 2944 ◽  
Author(s):  
Donato Impedovo ◽  
Giuseppe Pirlo
Keyword(s):  
Artificial Intelligence ◽  
Smart City ◽  
Business Models ◽  
Smart Cities ◽  
Wide Spectrum ◽  
Life Quality ◽  
City Management ◽  
Efficient Management ◽  
Social Big Data ◽  
Areas Of Interest

Smart cities work under a more resource-efficient management and economy than ordinary cities. As such, advanced business models have emerged around smart cities, which have led to the creation of smart enterprises and organizations that depend on advanced technologies. In this Special Issue, 21 selected and peer-reviewed articles contributed in the wide spectrum of artificial intelligence applications to smart cities. Published works refer to the following areas of interest: vehicular traffic prediction; social big data analysis; smart city management; driving and routing; localization; and safety, health, and life quality.

'Deepfakes' could irreparably damage public trust

2019 ◽  
Keyword(s):  
Artificial Intelligence ◽  
National Security ◽  
Homeland Security ◽  
Wide Spectrum ◽  
Department Of Homeland Security ◽  
Digital Videos ◽  
Content Type ◽  
The Past ◽  
The Us ◽  
Us Senate

Subject Deepfake technology. Significance The US Senate on October 24 passed an act that requires the Department of Homeland Security to publish a yearly report on how ‘deepfake’ technology may be used to harm national security. Deepfakes are believable digital videos, audios or photos created using artificial intelligence (AI) to portray a person saying or doing something that the person never said or did, or portraying an event as real that never took place. The level of sophistication of this technology has leapfrogged over the past two years, raising a wide spectrum of concerns. Impacts A market for anti-deepfake verification technologies will emerge. Lawmakers will need to define the lines between art/entertainment and malicious deepfakes. Upcoming elections will be impacted by the existence of this technology.

scholarly journals Strategy patterns and corporate competitive advantage in hypercompetition

2018 ◽  
Vol 69 (3) ◽  
pp. 229-250 ◽  
Author(s):  
Maja Daraboš Longin
Keyword(s):  
Competitive Advantage ◽  
Market Power ◽  
Strategic Behavior ◽  
Top Management Team ◽  
Top Management Teams ◽  
Management Team ◽  
Top Management ◽  
Special Focus ◽  
Long Run ◽  
Firm Response

Action aggressiveness is considered as a firm response to the phenomenon of temporary advantage. Firms able to respond quickly to market demands strengthen their market power and generate advantages; but those that can be even faster, will generate even greater market power and advantage over its competitors. However, there is no guarantee that competitive advantage achieved today will remain unchanged in the long run. The focus is on being prepared to take an action, i.e. the extent to which the firm is willing to participate with competitors and act quickly in the involvement and participation. The dynamics of top management is a very important component of the ability of the firm competitive behavior. The top management team is the kingpin that coordinates and mobilizes organizational resources and efforts for firms’ aggressive competitive engagement. The assumption of being more aggressive at the market and collaborative with competitors is the integration of top management of the firm that depends primarily on compatible traits and members’ communication skills. With a special focus on top management teams, this paper explores the extent to which firms’ certain strategic behavior in hypercompetitive industry can be related to gaining temporary competitive advantage, measured through improving its firm performance. The central goal of this research is to theoretically and empirically define and examine firms’ strategic behavior in hypercompetition through defining new taxonomy of strategy patterns, i.e. firm specific strategic behavior that provides and raises the probability of gaining the competitive advantage in hypercompetitive industries. An important contribution of this research is also reflected in the development of the model that analyze the influence of specific characteristics of top management team (TMT) on pattern firm uses, as well as the relationship between firms’ market position on specific strategic behavior.

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