scholarly journals Conceptual Framework—Artificial Intelligence and Better Entrepreneurial Decision-Making: The Influence of Customer Preference, Industry Benchmark, and Employee Involvement in an Emerging Market

2021 ◽  
Vol 14 (12) ◽  
pp. 604
Author(s):  
George Amoako ◽  
Paul Omari ◽  
Desmond K. Kumi ◽  
George Cudjoe Agbemabiase ◽  
George Asamoah
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Conceptual Framework ◽  
Employee Involvement ◽  
Customer Preference ◽  
Online Journals ◽  
Entrepreneurial Development ◽  
Entrepreneurial Decision ◽  
The Relationship ◽  
Artificial Intelligence Systems

Purpose: Technology initiatives are now incorporated into a wide range of business domains. The objective of this paper is to explore the possible effects that Artificial intelligence systems have on entrepreneurs’ decision-making, through the mediation of customer preference and industry benchmark. Design/methodology/approach: This is a non-empirical review of the literature and the development of a conceptual model. Searches were conducted in key academic databases, such as Emerald Online Journals, Taylor and Francis Online Journals, JSTOR Online Journals, Elsevier Online Journals, IEEE Xplore, and Directory of Open Access Journals (DOAJ) for papers which focused on Artificial intelligence (AI), Entrepreneurial decision-making, Customer preference, Industry benchmarks, and Employee involvement. In total, 25 articles met the predefined criteria and were used. Findings: The study proposes that Artificial intelligence systems can facilitate better decision-making from the entrepreneurial perspective. In addition, the study demonstrates that employees, as stakeholders, can moderate the relationship between Artificial intelligence systems and better decision-making for entrepreneurs with their involvement. Moreover, the study demonstrates that customer preference and industry benchmark can mediate the relationship between Artificial intelligence systems and better entrepreneur decision-making. Research limitations/implications: The study assumes a perfect ICT environment for the smooth operation of Artificial intelligence systems. However, this might not always be the case. The study does not consider the personal disposition of entrepreneurs in terms of ICT usage and adoption. Practical implications: This study proposes that entrepreneurial decision-making is enriched in an environment of Artificial intelligence systems, which is complemented by customer preference, industry benchmark, and employee involvement. This finding provides entrepreneurs with a possible technological tool for better decision-making, highlighting the endless options offered by Artificial intelligence systems. Social Implications: The introduction of AI in the business decision-making process comes with many social issues in relation to the impact machines have on humans and society. This paper suggests how this new technology should be used without destroying society. Originality/value: This conceptual framework serves as a valuable organizational spectrum for entrepreneurial development. In addition, this study makes a valuable contribution to entrepreneurial development through Artificial intelligence systems.

Influence of Confucian culture on entrepreneurial decision making using data from China's floating population

2020 ◽  
Vol 48 (7) ◽  
pp. 1-12
Author(s):  
Ran Xiong ◽  
Ping Wei
Keyword(s):  
Decision Making ◽  
Floating Population ◽  
Positive Role ◽  
Confucian Culture ◽  
Chinese Nation ◽  
Using Data ◽  
Entrepreneurial Decision ◽  
And Behavior ◽  
The Relationship

Confucian culture has had a deep-rooted influence on Chinese thinking and behavior for more than 2,000 years. With a manually created Confucian culture database and the 2017 China floating population survey, we used empirical analysis to test the relationship between Confucian culture and individual entrepreneurial choice using data obtained from China's floating population. After using the presence and number of Confucian schools and temples, and of chaste women as instrumental variables to counteract problems of endogeneity, we found that Confucian culture had a significant role in promoting individuals' entrepreneurial decision making among China's floating population. The results showed that, compared with those from areas of China not strongly influenced by Confucian culture, individuals from areas that are strongly influenced by Confucian culture were more likely to choose entrepreneurship as their occupation choice. Our findings reveal cultural factors that affect individual entrepreneurial behavior, and also illustrate the positive role of Confucianism as a representative of the typical cultures of the Chinese nation in the 21st century.

scholarly journals In pursuit of supply chain fit

2019 ◽  
Vol 30 (3) ◽  
pp. 821-844 ◽  
Author(s):  
Yasmine Sabri
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Firm Performance ◽  
Conceptual Framework ◽  
Organisational Structure ◽  
Content Type ◽  
Supply Chain Strategy ◽  
Corporate Groups ◽  
The Relationship

Purpose The purpose of this paper is to develop exploratory propositions and a conceptual framework on the interaction between organisational structure (decision-making centralisation and internal coordination) and the relationship between supply chain fit and firm performance. Design/methodology/approach Through a case study, two corporate groups with distinctive organisational structures were examined; both are undergoing a critical moment of changes to their top management and are reshaping their corporate and supply chain strategies. Data on decision-making centralisation, internal coordination mechanisms, supply, demand and innovation uncertainties, and supply chain strategies were collected from key respondents. Findings The analysis conducted suggests the need to consider the joint interaction between organisational structure and supply chain fit in offsetting the implications of a potential misfit on firm performance. Furthermore, the context sensitivity of a supply chain is often overlooked, hence simply modifying supply chain strategy does not necessarily lead to a variation in firm performance. Practical implications This research is of particular importance to most organisations in the testing times of uncertainty in the global landscape. It guides supply chain practitioners to better understand which elements of the organisational structure interact with the uncertainty of supply, demand and innovation. Originality/value This paper is one of the first to investigate the interaction between elements of organisational structure and supply chain fit and identify decision-making centralisation and coordination as the internal uncertainty factors that are most relevant to supply chain fit research. A conceptual framework has been built for future testing, in which the organisational structure moderates the relationship between supply chain fit and firm performance.

scholarly journals The role of transcendental reflection in realization of the power of judgment

2020 ◽  
pp. 31-43
Author(s):  
Valentin Valentinovich Balanovskii
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Professional Activity ◽  
Sociology Of Law ◽  
Judicial Proceedings ◽  
Overall Efficiency ◽  
Reflective Power ◽  
Practical Recommendations ◽  
Artificial Intelligence Systems

This article analyzes the peculiarities of functionality of transcendental reflection among judges in the context of realization of the power of judgment. An attempt is made to answer the questions on how the judges exercise their power of judgment in decision-making, problems they are facing and ways for their solution. Attention is focused on the peculiarities of ensuring unity of self-consciousness of the judge in carrying out professional activity, as well as on the flaws of the determining and reflective power of judgment, which serve as the grounds for vacation of decisions of the courts of primary jurisdiction through appellation. The author also reviews the prospects for the implementation of artificial intelligence systems into judicial proceedings in light of the questions raised in the article. This work leans on the results of research conducted in 2019–2020 at the intersection of theoretical philosophy, philosophy and sociology of law, theory of state and law. Within the framework of this study, the question of decision-making by judges is viewed through the prism of philosophical system of I. Kant, namely through his concept of the power of judgment. The research is carried out in three directions: transcendental, formal-legal, and sociological. The results consist in formulation of practical recommendations that would improve the effectiveness of realization of the power of judgment, and thus the overall efficiency of judicial proceedings in Russia.

scholarly journals Towards Trust, Transparency and Liability in AI / AS systems

2017 ◽  
Author(s):  
Eva Thelisson
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Autonomous Systems ◽  
Research Problem ◽  
Collective Decision ◽  
Collective Decision Making ◽  
Global Level ◽  
Governance Mechanisms ◽  
Decision Making Processes ◽  
Artificial Intelligence Systems

The research problem being investigated in this article is how to develop governance mechanisms and collective decision-making processes at a global level for Artificial Intelligence systems (AI) and Autonomous systems (AS), which would enhance confidence in AI and AS.

A Systems and Control Theory Approach for Law and Artificial Intelligence: Demystifying the “Black-Box”

J ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 544-556
Author(s):  
Woodrow Barfield
Keyword(s):  
Artificial Intelligence ◽  
Control Theory ◽  
Conceptual Framework ◽  
Theory Approach ◽  
Controlled System ◽  
Systems And Control ◽  
The Law ◽  
And Control ◽  
External Behavior ◽  
The Relationship

In this paper, I propose a conceptual framework for law and artificial intelligence (AI) that is based on ideas derived from systems and control theory. The approach considers the relationship between the input to an AI-controlled system and the system’s output, which may affect events in the real-world. The approach aims to add to the current discussion among legal scholars and legislators on how to regulate AI, which focuses primarily on how the output, or external behavior of a system, leads to actions that may implicate the law. The goal of this paper is to show that not only is the systems output an important consideration for law and AI but so too is the relationship between the systems input to its desired output, as mediated through a feedback loop (and other control variables). In this paper, I argue that ideas derived from systems and control theory can be used to provide a conceptual framework to help understand how the law applies to AI, and particularly, to algorithmically based systems.

scholarly journals The rhythm of effective entrepreneurs’ decision-making process. The pathways of alertness scanning and search and cognitive style. A mediation model

2021 ◽  
Author(s):  
Sara Sassetti ◽  
Vincenzo Cavaliere ◽  
Sara Lombardi
Keyword(s):  
Decision Making ◽  
Cognitive Style ◽  
Cognitive Styles ◽  
Decision Making Process ◽  
Manufacturing Companies ◽  
Mediation Model ◽  
Scant Attention ◽  
Entrepreneurial Decision ◽  
The Relationship

AbstractHow can entrepreneurs be effective when making decisions? To enrich current research on entrepreneurship and cognition, the present study shows how alertness and decision making are closely related. Prompted by the scant attention that scholars have paid to the link between alertness and the pathways of entrepreneurs’ thought, it proposes that being alert by adequately scanning and searching for information is likely to increase decision-making effectiveness. Distinguishing between rational and intuitive cognitive styles and based on a sample of 98 Italian entrepreneurs from small and medium manufacturing companies, the analysis shows that while a rational cognitive style significantly mediated the relationship, intuition did not play a role in shaping entrepreneurial decision-making effectiveness. The results suggest that developing individual alertness might not be sufficient for entrepreneurs to make effective decisions; a rational cognitive style might also be a key mechanism shaping this association.

scholarly journals Algorithms in Judicial Environments – the Importance of Identifying Relevant Judicial Decision-Making Stage

Teisė ◽  
2020 ◽  
Vol 115 ◽  
pp. 55-69
Author(s):  
Donatas Murauskas
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Judicial Decision ◽  
Judicial Decision Making ◽  
Applicable Law ◽  
Positive Analysis ◽  
Artificial Intelligence Systems

The paper examines the application of Artificial Intelligence systems in the judicial environments. It provides an outline of a typology of different algorithms applicable in judicial environments depending on judicial decision-making stage. This is a positive analysis which aims at identifying relevant algorithms in every judicial decision-making stage, be it assessing the facts, indicating the applicable law or deciding.

scholarly journals La función conjetural del Derecho reforzada por los algoritmos en la era de big data.

2020 ◽  
Vol 6 (2) ◽  
pp. 162-185
Author(s):  
Matías Mascitti
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Big Data ◽  
Natural Language ◽  
Search Engines ◽  
Common Law ◽  
Civil Law ◽  
Legal Principles ◽  
Predictive Function ◽  
Artificial Intelligence Systems

Through this paper we aims to illustrate the increase in the power of the predictive function of Law that will be generated by the use of intelligent integral legal search engines (IILSE). They will allow a more effective strategic conjectural analysis by virtue of the sociological, psychological, normative and axiological information that they will provide to the legal operator for their decision making. To this end, we use an interdisciplinary analysis perspective of Law, highlighting the advancement of artificial intelligence systems in a transparency society where data is a valuable asset. The IILSE integrated with an efficient natural language and with algorithms created to obtain the aforementioned interdisciplinary information will be a valuable aid instrument for: greater linguistic precision, normative interpretation, weighting of legal principles, prediction of judicial sentences, democratization of Law and a significant decrease in the differences in the practical effects in force between the traditions of Civil Law and Common Law.

scholarly journals ARTIFICIAL INTELLIGENCE TECHNOLOGY AND LAW: CHALLENGES OF OUR TIME

2020 ◽  
pp. 524-549
Author(s):  
Y. S. Kharitonova ◽  
◽  
V. S. Savina ◽  
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Intelligent Systems ◽  
Legal Regulation ◽  
Original Result ◽  
Legal Personality ◽  
Blockchain Technology ◽  
Legal Science ◽  
Artificial Intelligence Technology ◽  
Artificial Intelligence Systems

Introduction: the article deals with the issues concerning the protection of the rights to digital content created with the use of artificial intelligence technology and neural networks. This topic is becoming increasingly important with the development of the technologies and the expansion of their application in various areas of life. The problems of protecting the rights and legitimate interests of developers have come to the fore in intellectual property law. With the help of intelligent systems, there can be created not only legally protectable content but also other data, relations about which are also subject to protection. In this regard, of particular importance are the issues concerning the standardization of requirements for procedures and means of storing big data used in the development, testing and operation of artificial intelligence systems, as well as the use of blockchain technology. Purpose: based on an analysis of Russian and foreign scientific sources, to form an idea of the areas of legal regulation and the prospects for the application of artificial intelligence technology from a legal perspective. Methods: empirical methods of comparison, description, interpretation; theoretical methods of formal and dialectical logic; special scientific methods (legal-dogmatic and the method of interpretation of legal norms). Results: analysis of the practice of using artificial intelligence systems has shown that today intelligent algorithms include a variety of technologies that are based on or related to intelligent systems, but not always fall under the concept of classical artificial intelligence. Strictly speaking, classic artificial intelligence is only one of the intelligent system technologies. The results created by autonomous artificial intelligence have features of works. At the same time, there are some issues of a public law nature that require resolution: obtaining consent to data processing from the subjects of this data, determining the legal personality of these persons, establishing legal liability in connection with the unfair use of data obtained for decision-making. Standardization in the sphere and application of blockchain technology could help in resolving these issues. Conclusions: in connection with the identified and constantly changing composition of high technologies that fall under the definition of artificial intelligence, there arise various issues, which can be divided into some groups. A number of issues of legal regulation in this area have already been resolved and are no longer of relevance for advanced legal science (legal personality of artificial intelligence technology); some issues can be resolved using existing legal mechanisms (analysis of personal data and other information in course of applying computational intelligence technology for decision-making); some other issues require new approaches from legal science (development of a sui generis legal regime for the results of artificial intelligence technology, provided that the original result is obtained).

The Relationship between Artificial Intelligence (AI) Quality, Customer Preference, Satisfaction and Continuous Usage Intention of e-Banking Services

2021 ◽  
Vol 4 (1) ◽  
pp. 24-43
Author(s):  
Mohammed Aliyu Dantsoho ◽  
◽  
Kabiru Jinjiri Ringim ◽  
Kabiru Maitama Kura ◽  
◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Consumer Preference ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Banking Services ◽  
Customer Preference ◽  
Continuous Usage Intention ◽  
The Relationship ◽  
Positive Effect

This study was set to examine the relationship between artificial intelligence (AI) quality, customer preference, satisfaction and continuous usage intention of e-banking services powered by AI solution. To achieve this, a cross-sectional research design was employed to collect data from the bank customers using purposive snowball sampling. In total 274 responses were retrieved from the bank customers that agreed to participate in the study and 246 were useful for the final data analysis. Analysis was done using partial least square structural equation modeling (PLS-SEM) approach with aid of SmartPLS 3.2.8. A snowball non-probability sampling procedure was used for the data collection. The findings indicate that the AI quality have a positive effect on satisfaction and satisfaction has significant positive effect on the intention of continuing use of e-banking services. However, consumer preference was not significantly related to continuous usage intention of e-banking services. This is practically possible in Nigerian context. Because we observe that majority of the respondents does not have specific preference of using or interacting with e-banking services powered by AI as against those control by human interactions. The implication of this findings is that is the used of AI based services in the Nigerian context is still at it infancy level. Therefore, there is still much to learn from the experience of both planners, implementers and beneficiaries. This study is perhaps, the first of its kind to examine the relationships of AI chatbot quality on customer satisfaction and continuous usage intention of e-banking services. It is therefore, contributes to the development of literature in this direction.

Sign in / Sign up

Export Citation Format

Share Document