scholarly journals Exo Journalism: A Conceptual Approach to a Hybrid Formula between Journalism and Artificial Intelligence

2021 ◽  
Vol 2 (4) ◽  
pp. 830-840
Author(s):  
Santiago Tejedor ◽  
Pere Vila
Keyword(s):  
Artificial Intelligence ◽  
Case Studies ◽  
Professional Practice ◽  
Automatic Generation ◽  
Conceptual Approach ◽  
Digital Society ◽  
Automated Technology ◽  
Information Professionals ◽  
The Impact ◽  
Depth Interviews

The irruption of artificial intelligence (AI) and automated technology has substantially changed the journalistic profession, transforming the way of capturing, processing, generating, and distributing information; empowering the work of journalists by modifying the routines and knowledge required by information professionals. This study, which conceptualizes the “exo journalism” on the basis of the impact of AI on the journalism industry, is part of a research project of the Observatory for Information Innovation in the Digital Society (OI2). The results, derived from documentary research supported by case studies and in-depth interviews, propose that AI is a source of innovation and personalization of journalistic content and that it can contribute to the improvement of professional practice, allowing the emergence of a kind of "exo journalist", a conceptual proposal that connects the possibilities of AI with the needs of journalism’s own productive routines. The end result is the enhancement of the journalist’s skills and the improvement of the news product. The research focuses on conceptualizing a kind of support and complement for journalists in the performance of their tasks based on the possibilities of AI in the automatic generation of content and data verification.

scholarly journals The impact of artificial intelligence on commercial management

2020 ◽  
Vol 17 (4) ◽  
pp. 441-452
Author(s):  
Renato Costa ◽  
Álvaro Dias ◽  
Leandro Pereira ◽  
José Santos ◽  
André Capelo
Keyword(s):  
Artificial Intelligence ◽  
Data Collection ◽  
Real Time ◽  
Training And Development ◽  
Analytical Tool ◽  
Commercial Activity ◽  
Business Functions ◽  
The Impact ◽  
Depth Interviews ◽  
Shed Light

The essence of this research is to shed light on use and importance of artificial intelligence (AI) in commercial activity. As such, the objective of the present study is to understand the impact of AI tools on the development of business functions and if they can be affirmed as a means of help or as a substitute for these functions. In-depth interviews were conducted with 15 commercial managers from technological SMEs. The results indicate that all the participants use AI systems frequently, that these tools assist in developing of their functions, allowing having more time and better preparing to solve the commercial problems. The findings also indicate that the tools used by commercials are still somewhat limited, and companies should focus on their training and development in AI, as well as the training of their commercials. Furthermore, the results show that firms intend to use the data collection and the analytical tool that enable real-time response and customization according to customer needs.

Changing the Quality of Education in a University Using Digital Technologies and Artificial Intelligence in the Context of the COVID-19 Pandemic

2020 ◽  
Vol 19 (4) ◽  
pp. 137-144
Author(s):  
M.V. Vinichenko ◽  
◽  
S.A. Makushkin ◽  
N.V. Lyapunova ◽  
◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Distance Learning ◽  
Personal Space ◽  
Quality Of Education ◽  
Quality Of Teaching ◽  
General Scientific ◽  
The University ◽  
The Impact ◽  
Depth Interviews

the purpose of the article was to identify the nature of the impact of the pandemic on the quality of education at a university using distance learning and artificial intelligence. The research methodology was based on a complex of general scientific and special methods. The data obtained during the survey and in-depth interviews were summarized and analyzed in a focus group. Stable connections and tendencies in the change in the quality of teaching at the university are revealed. Traps for students are attributed to stable connections: lack of a valid system of control over the authorship of completed works; the possibility of unauthorized use of various electronic sources when responding; coronavirus quarantine leads to the erasure of students’ boundaries between study and life, personal space and social environment; an increase in students’ desire to have high grades in subjects with a decrease in interest in learning. Trends: increased workload on teachers and supporting (technical) personnel; growing dissatisfaction with distance learning; reduction of responsibility on the part of students for mastering knowledge in the course of distance learning.

scholarly journals Development of intelligent agents through collaborative innovation

2019 ◽  
Vol 11 (3) ◽  
pp. 29-37
Author(s):  
Mateusz Kot ◽  
Grzegorz Leszczyński
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Agents ◽  
Machine Learning Algorithms ◽  
User Engagement ◽  
Collaborative Development ◽  
New Approach ◽  
Collaborative Innovation ◽  
The Impact ◽  
Depth Interviews ◽  
Agent Development

Abstract This study focuses on the development of a specific type of Intelligent Agents — Business Virtual Assistants (BVA). The paper aims to identify the scope of collaboration between users and providers in the process of agent development and to define the impact that user interpretations of a BVA agent have on this collaboration. This study conceptualises the collaboration between providers and users in the process of the BVA development. It uses the concept of the collaborative development of innovation and sensemaking. The empirical part presents preliminary exploratory in-depth interviews conducted with CEOs of BVA providers and analyses the use of the scheme offered by Miles and Hubermann (1994). The main results show the scope of the collaboration between BVA users and providers in the process of the BVA development. User engagement is crucial in the development of BVA agents since they are using machine learning algorithms. The user interpretation through sensemaking influences the process as their attitudes guide their behaviour. Apart from that, users have to adjust to this new kind of entity in the market and learn how to use it in line with savoir-vivre rules. This paper suggests the need to develop a new approach to the collaborative development of innovation when Artificial Intelligence is involved.

scholarly journals Mutación del espacio económico a partir de la actividad turística: el caso de los barrios El Poblenou y Sants en Barcelona (2005-2016)

2019 ◽  
pp. 271-300
Author(s):  
Esteve Dot Jutglà
Keyword(s):  
Urban Development ◽  
Case Studies ◽  
Statistical Data ◽  
Prior Experience ◽  
Tourist Destination ◽  
Social Tension ◽  
Working Hypothesis ◽  
Community Protests ◽  
The Impact ◽  
Depth Interviews

La investigación describe la evolución de Barcelona como destino turístico, presenta los impactos turísticos y examina los agentes urbanos que participan en el desarrollo territorial en el periodo 2005-2016. Como caso de estudio se analiza la actividad turística en el espacio productivo de dos barrios con tradición industrial: El Poblenou y Sants. La hipótesis de trabajo es que ha habido desconcentración de la oferta turística de la ciudad que ha llevado a tensiones y a una movilización social en barrios con poca tradición turística. La metodología se basa en datos estadísticos y en entrevistas. This research aims to describe Barcelona's evolution as a tourist destination, analyse the impact of tourism on certain neighbourhoods and examine the sectors -administrative, social and economic- involved in urban development during the period 2005-2016. Used as case studies are two ex-industrial neighbourhoods: Poblenou and Sants. The working hypothesis: a decentralisation of tourism in Barcelona has led to social tension and community protests in neighbourhoods with little prior experience of tourism. The methodology is based on statistical data and in-depth interviews.

scholarly journals Social Aspects of the Consequences of Artificial Intelligence Decision Making in a Digital Society

2021 ◽  
Vol 27 (2) ◽  
pp. 90-108
Author(s):  
Sergey Neizvestny
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Social Relations ◽  
Training System ◽  
Educational Process ◽  
Social Aspects ◽  
Negative Consequences ◽  
Digital Society ◽  
Digital World ◽  
The Impact

In recent decades, almost all areas of human activity are undergoing rapid digitalization and the introduction of artificial intelligence, which fundamentally affect social relations within society. In addition to the obvious benefits of using human-like intelligence in the modern digital world, there may also be negative consequences associated, first of all, with the processes of making important, large-scale management decisions by the cyber-management of a digital society. The problem of the impact on social security of decision-making by artificial intelligence in a digital society has not been sufficiently studied. The article considers the main social aspects of the problems related to the consequences of artificial intelligence making decisions. The main focus is the impact of decisions made by cyber managers on the social stability of a digital society. Some features of the emerging social relations “human – artificial intelligence”, “Manager – Cyber-manager” are considered. Based on analyzing the impact of the consequences of decision-making by artificial intelligence on social relations, a number of changes in the training system for digitalization processes are proposed, and requirements for the competence of specialists in developing and operating human-like intelligence are formulated. Based on the practical requirements of the modern IT sphere, the author has developed and introduced into the educational process a number of cycles of interdisciplinary lectures and practical seminars for future IT specialists in a digital society. A number of solutions to pedagogical problems related to the development of the analytical and creative abilities of future specialists, of architects and developers of cyber-systems and of managerial decision-making are proposed.

scholarly journals Pemahaman Dampak Game Online pada Anak-Anak Nelayan di Kota Makassar

2020 ◽  
Vol 4 (2) ◽  
pp. 165-184
Author(s):  
Arianto Arianto ◽  
Tuti - Bahfiarti
Keyword(s):  
Case Studies ◽  
Interpersonal Relationships ◽  
Internet Addiction ◽  
Participant Observation ◽  
Low Frequency ◽  
Online Games ◽  
Qualitative Approach ◽  
The Impact ◽  
Depth Interviews ◽  
Very High

Understanding the impact of fishermen children's online games is a phenomenon because it has the potential to cause internet addiction, decreased learning achievement, and even the destruction of interpersonal relationships. The purpose of this study is to categorize the understanding of fishermen children in the use of online games in Makassar City. This type of research uses a qualitative approach referring to case studies that specifically reveal children's understanding of the impact of online games, especially fishing communities. Data was collected through non-participant observation, and in-depth interviews with children aged 7-12 years chosen by purposive sampling. The results found that fishermen children's understanding of the impact of online games is high. First, the category of high comprehension is characterized by duration and low frequency or children do not play online games, high interactivity playing with peers. Second, the category of understanding being children tends to divide the time playing online games and learning with minimal duration and frequency of time. Third, the category of understanding is low in characteristics, children are very intensive to have the duration and frequency of playing online games very high, the level of interactivity with peers is low.

scholarly journals Not All Experimental Questions Are Created Equal: Accelerating Biological Data to Knowledge Transformation (BD2K) via Science Informatics, Active Learning and Artificial Intelligence

2017 ◽  
Author(s):  
Simon Kasif ◽  
Stan Letovsky ◽  
Richard J. Roberts ◽  
Martin Steffen
Keyword(s):  
Artificial Intelligence ◽  
Gene Function ◽  
Information Gain ◽  
Scientific Discovery ◽  
Biological Data ◽  
Knowledge Gain ◽  
Conceptual Approach ◽  
Simulation And Optimization ◽  
Link Type ◽  
The Impact

Pablo Picasso, when first told about computers, famously quipped “Computers are useless. They can only give you answers.” Indeed, the majority of effort in the first half-century of computational research has focused on methods for producing answers. Incredible progress has been achieved in computational modeling, simulation and optimization, across domains as diverse as astrophysics, climate studies, biomedicine, architecture, and chess. However, the use of computers to pose new questions, or prioritize existing ones, has thus far been quite limited.Picasso’s comment highlights the point that good questions can sometimes be more elusive than good answers. The history of science offers numerous examples of the impact of good questions. Paul Erdős, the wandering monk of mathematical graph theory, offered small prizes for anyone who could prove conjectures he identified as important (1). The prizes varied in cash amounts based on the perceived complexity of the problem posed by Erdős.Posing technical questions and allocating resources to answer them has taken on a new guise in the Internet age. The X-Prize foundation (http://www.xprize.org/) offers multi-million dollar bounties for grand technological goals, including goals for sequencing genomes or space exploration. Several companies provide portals where customers can place cash bounties on educational, scientific or technological challenges, while potential problem solvers can compete to produce the best solutions for these problems. Amazon’s Turk site (https://www.mturk.com/mturk/welcome) links people requesting performance of intellectual tasks to people willing to work on them for a fee. Such crowd-sourcing systems create markets of questions and answers, and can help allocate resources and capabilities efficiently.This paradigm suggests a number of interesting questions for scientific research. In a resource limited environment, can funds and research capacity be allocated more efficiently? Can knowledge demand provide an alternative or complementary mechanism to traditional investigator-initiated research grants?The fathers of Artificial Intelligence (AI) and Herbert Simon in particular envisioned the application of AI to Scientific Discovery in different forms and styles (focusing on physics). We follow on these early dreams and describe a novel approach aimed at remodeling of the biomedical research infrastructure and catalyze gene function determination. We aim to start a bold discussion of new ideas aimed towards increasing the efficiency of the allocation of research capacities, reproducibility, provenance tracking, removing redundancy and catalyzing knowledge gain with each experiment. In particular, we describe a tractable computational framework and infrastructure that can help researchers assess the potential information gain of millions of experiments before conducting them. The utility of experiments in this case is modeled as the predictive knowledge (formalized as information) to be gained as a result of performing the experiment. The experimentalist would then be empowered to select experiments that maximized information gain if they wished, recognizing that there are frequently other considerations, such as a specific technological or medical utility, that might over-ride the priority of maximizing information gain. The conceptual approach we develop is general, and here we apply it to the study of gene function.

Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects

2020 ◽  
Vol 26 (7) ◽  
pp. 1893-1924 ◽  
Author(s):  
Serge-Lopez Wamba-Taguimdje ◽  
Samuel Fosso Wamba ◽  
Jean Robert Kala Kamdjoug ◽  
Chris Emmanuel Tchatchouang Wanko
Keyword(s):  
Artificial Intelligence ◽  
Firm Performance ◽  
Case Studies ◽  
Research Question ◽  
Business Value ◽  
Organizational Level ◽  
Content Type ◽  
Industrial Sectors ◽  
Wide Range ◽  
The Impact

PurposeThe main purpose of our study is to analyze the influence of Artificial Intelligence (AI) on firm performance, notably by building on the business value of AI-based transformation projects. This study was conducted using a four-step sequential approach: (1) analysis of AI and AI concepts/technologies; (2) in-depth exploration of case studies from a great number of industrial sectors; (3) data collection from the databases (websites) of AI-based solution providers; and (4) a review of AI literature to identify their impact on the performance of organizations while highlighting the business value of AI-enabled projects transformation within organizations.Design/methodology/approachThis study has called on the theory of IT capabilities to seize the influence of AI business value on firm performance (at the organizational and process levels). The research process (responding to the research question, making discussions, interpretations and comparisons, and formulating recommendations) was based on a review of 500 case studies from IBM, AWS, Cloudera, Nvidia, Conversica, Universal Robots websites, etc. Studying the influence of AI on the performance of organizations, and more specifically, of the business value of such organizations’ AI-enabled transformation projects, required us to make an archival data analysis following the three steps, namely the conceptual phase, the refinement and development phase, and the assessment phase.FindingsAI covers a wide range of technologies, including machine translation, chatbots and self-learning algorithms, all of which can allow individuals to better understand their environment and act accordingly. Organizations have been adopting AI technological innovations with a view to adapting to or disrupting their ecosystem while developing and optimizing their strategic and competitive advantages. AI fully expresses its potential through its ability to optimize existing processes and improve automation, information and transformation effects, but also to detect, predict and interact with humans. Thus, the results of our study have highlighted such AI benefits in organizations, and more specifically, its ability to improve on performance at both the organizational (financial, marketing and administrative) and process levels. By building on these AI attributes, organizations can, therefore, enhance the business value of their transformed projects. The same results also showed that organizations achieve performance through AI capabilities only when they use their features/technologies to reconfigure their processes.Research limitations/implicationsAI obviously influences the way businesses are done today. Therefore, practitioners and researchers need to consider AI as a valuable support or even a pilot for a new business model. For the purpose of our study, we adopted a research framework geared toward a more inclusive and comprehensive approach so as to better account for the intangible benefits of AI within organizations. In terms of interest, this study nurtures a scientific interest, which aims at proposing a model for analyzing the influence of AI on the performance of organizations, and at the same time, filling the associated gap in the literature. As for the managerial interest, our study aims to provide managers with elements to be reconfigured or added in order to take advantage of the full benefits of AI, and therefore improve organizations’ performance, the profitability of their investments in AI transformation projects, and some competitive advantage. This study also allows managers to consider AI not as a single technology but as a set/combination of several different configurations of IT in the various company’s business areas because multiple key elements must be brought together to ensure the success of AI: data, talent mix, domain knowledge, key decisions, external partnerships and scalable infrastructure.Originality/valueThis article analyses case studies on the reuse of secondary data from AI deployment reports in organizations. The transformation of projects based on the use of AI focuses mainly on business process innovations and indirectly on those occurring at the organizational level. Thus, 500 case studies are being examined to provide significant and tangible evidence about the business value of AI-based projects and the impact of AI on firm performance. More specifically, this article, through these case studies, exposes the influence of AI at both the organizational and process performance levels, while considering it not as a single technology but as a set/combination of the several different configurations of IT in various industries.

Financial service providers and banks’ role in helping SMEs to access finance

2018 ◽  
Vol 48 (1) ◽  
pp. 69-92 ◽  
Author(s):  
Hua Song ◽  
Kangkang Yu ◽  
Qiang Lu
Keyword(s):  
Supply Chain ◽  
Information Asymmetry ◽  
Case Studies ◽  
Commercial Banks ◽  
Service Providers ◽  
Financial Service ◽  
Dyadic Relationship ◽  
Content Type ◽  
The Impact ◽  
Depth Interviews

Purpose Despite their crucial role in sustaining national economies, small and medium enterprises (SMEs) are beset by the constraint of financing at better conditions. The purpose of this paper is to compare supply chain finance (SCF) solutions provided by commercial banks and financial service providers (FSPs) that help SMEs access financing. Design/methodology/approach This study looks at multiple case studies using in-depth interviews with focal firms (lenders) to answer the research questions. In-depth interviews were conducted with three Chinese FSPs and three commercial banks providing working capital to the same SMEs. The unit of analysis is SCF solutions that have made the companies competitive in the industry. Findings The case studies show that the acquisition of transaction information and business credit in SCF can reduce ex ante information asymmetry. SCF utilizing receivable transfers, closed-loop business, relational embeddedness, and a combination of outcome control and behavioral control can also reduce ex post information asymmetry. For these reasons, compared with commercial bank-dominated SCF, SCF adopted by FSPs in the supply chain can better reduce information asymmetry. Originality/value This study contributes to the emerging literature exploring the impact of SCF on SMEs accessing financing. In particular, this study provides supply chain management and operations insights on SCF and their consequent influence. Previous research has focused on the direct dyadic relationship between lenders and borrowers while neglecting supply chain effects. Uniquely, this study explores the different ways commercial banks and FSPs implement SCF solutions.

Information culture and recordkeeping: a case of Chinese enterprises

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhiying Lian ◽  
Ning Wang ◽  
Gillian Oliver
Keyword(s):  
Good Governance ◽  
Information Culture ◽  
Chinese Enterprises ◽  
Content Type ◽  
Chinese Companies ◽  
Information Governance ◽  
Information Professionals ◽  
The Impact ◽  
A Company ◽  
Depth Interviews

PurposeThe purpose of this paper is to report findings from an investigation on the information culture and recordkeeping in two Chinese companies, exploring the interaction between information culture and recordkeeping.Design/methodology/approachOn the basis of systematic literature review, this research investigates the information culture and recordkeeping in two Chinese companies by conducting in-depth interviews with the staff of the two companies.FindingsThe attitude of the leadership and the staff towards records and information is different in the result-oriented information culture and rule-following culture. If a company aims to stay innovative and competitive, an information culture that can facilitate the good governance of records and information should be developed, and information professionals can play a key role in working towards this.Originality/valueAs a qualitative study of information culture and recordkeeping in Chinese companies, this paper provides the insight into the interaction between information culture and recordkeeping, demonstrates the impact of information culture on information governance and identifies the factors influencing information culture in an organization.

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