scholarly journals THE BUSINESS ASSISTANT SERVICE AS ONE OF THE PROMISING AREAS FOR THE ADOPTION OF AI TECHNOLOGIES IN THE ENTERPRISE

2020 ◽  
Vol 21 (2) ◽  
pp. 588-597
Author(s):  
Tetiana Ivashchenko ◽  
Igor Chornodid ◽  
Andrii Ivashchenko

In modern conditions, entrepreneurs are faced with the acute problem of analysing of numerous information, quickly responding to a constantly changing economic situation, and making the most optimal decisions. In this regard, the development of a Business Assistant service (BAS) is a very relevant since it is a modern solution that can significantly simplify and improve the work of enterprises. The main goal of the research is on the basis of AI technologies to elaborate the Business Assistant service, that would speed up, optimize and simplify the decision-making process for the entrepreneur and can be used by many enterprises both when starting a business and when operating it. The main tasks for implementing the goal are: to analyze the scientific literature regarding the possibilities of using AI technologies in business, to identify the factors that mainly influence the entrepreneur’s choice regarding the sphere of activity, as well as the types of information most useful for doing business, to analyze and collect data for the model design, to develop a prototype of the BAS and test its functionality in practice. The research methods are: the theoretical – analysis and synthesis, abstraction method, the empirical – modelling (clustering, classification, logistic regression) and experimental method.The investigation results are: a prototype of the BAS was created, its effectiveness – ability of delivering useful recommendations and improving the business decision-making process for the entrepreneur has been proven experimentally using actual market data. The service can be effectively used by small and medium-sized enterprises in various industries and regions, provided that there is an access to the necessary data. The main risks associated with its implementation and possible ways of their reduction were considered.

2020 ◽  
Author(s):  
Erin Carbone ◽  
George Loewenstein

Studies suggest that sharing thoughts and information with others may be inherently pleasurable and confer health, psychological, and social benefits to the discloser. At the same time, self-disclosure exposes individuals to scrutiny and the risk of rejection and reputational damage, particularly with the advent of digital applications and social media outlets that promote public, and often permanent, disclosing. In an effort to understand the tradeoffs that underlie the decision to disclose, we introduce a distinction between the propensity to disclose and the psychological desire to disclose and present a preliminary investigation into when and why these two constructs diverge. Findings from two exploratory studies reveal the types of information that individuals are most eager to share, as well as the contextual factors and individual characteristics that moderate the desire to share and the circumstances under which this desire is most likely to translate into actual sharing. We replicate findings from prior research that the decision to disclose is a function of content emotionality and valence, but find that the propensity to withhold negative information is most pronounced when the information is about oneself than about others, and that gender differences in disclosure are largely driven by the tendency for men to withhold negative, but not positive, information. Additionally, we capture motives and traits, many of them previously unexplored in the disclosure context, to model the underlying decision-making process that leads to information sharing and distinguish between the act of sharing information and the psychological desire that differentially engender disclosing behavior.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Danielle Sponder Testa ◽  
Elena E. Karpova

PurposeDecision-makers must be well-informed to successfully impact the future of the business. The purpose of this study was to explore experiences of US fashion retail executives when making business decisions to understand what resources and strategies are utilized within the decision-making process. Additionally, the role of academic research within executive decision-making process was explored.Design/methodology/approachThis study utilized a phenomenological approach to understand the experiences of fashion retail executives when engaging in business decision-making. Fifteen US fashion retail executives participated in the study. Data were collected through in-depth individual interviews and thematically coded to gain a holistic perspective of the decision-making process within the fashion retail industry.FindingsAs the result of the data analysis and interpretation, three topical areas emerged:: “Incredible Amounts of Information,” “Industry Specific Academic Research” and “Have a Clear Road Map.” The findings suggested that while the facts gleaned from internal and external data are of great importance to fashion professionals, insights gathered from social media are equally influential within the decision-making process. The authors identified five major strategies utilized consistently by fashion retail executives regardless of the type of business they represented: collaboration, adaptability, speed, gut instinct and creativity.Research limitations/implicationsThe results are important to fashion retail companies for improving internal decision-making processes. The identified resources and strategies of the decision-making process can be incorporated into fashion program curricula and considered as learning outcomes when preparing future industry professionals.Originality/valueLimited studies have explored the decision-making process specific to the fashion retail environment, an uncertain and ever-changing industry. Further, the study shed light on the opportunity for academic research use in fashion retail decision-making and contributes to the literature by developing a fashion retail decision-making model.


Author(s):  
Евгений Николаевич Коровин ◽  
Екатерина Ивановна Новикова ◽  
Олег Валерьевич Родионов

В статье рассматриваются разработки методов интеллектуальной поддержки процесса диагностики сахарного диабета, а также определение его типа. В последние годы количество людей, страдающих данным заболеванием, неуклонно растет, а без своевременной диагностики эта патология может нанести огромный вред организму человека. Сахарный диабет 1 типа опасен тем, что в основном возникает у людей молодого возраста. Оперативное обнаружение диабета, а также определение его типа, поможет не только избежать возможных осложнений, но и в некоторых случаях предотвратить смерть пациента. Информационные технологии все чаще используются в различных сферах деятельности для разработки новых или совершенствования существующих методов обработки данных, особенно это можно заметить в сфере медицины. В настоящее время врач самостоятельно ставит диагноз, основываясь на результатах различных анализов, однако, для ускорения процесса принятия решения, можно воспользоваться методами математического моделирования, а именно: моделями диагностики диабета на основе нечеткой логики. Для наибольшего удобства данный способ распознавания заболевания впоследствии можно реализовать в информационно-программное обеспечение, которое сможет еще больше увеличить эффективность и скорость распознавания патологии The article discusses the issues of the incidence of diabetes in the population, in particular, the definition of its type. In recent years, the number of people suffering from this disease has been steadily growing, and without timely diagnosis, this pathology can cause enormous harm to the human body. Prompt detection of diabetes, as well as determination of its type, will help not only avoid possible complications, but also in some cases prevent the death of the patient. Information technology is increasingly being used in various fields of activity to develop new or improve existing methods of data processing, especially in the field of medicine. Currently, the doctor independently makes a diagnosis based on the results of various analyzes, however, to speed up the decision-making process, you can use the methods of mathematical modeling, namely, models of diabetes diagnostics based on fuzzy logic. For the greatest convenience, this method of disease recognition can subsequently be implemented in information software, which can further increase the efficiency and speed of pathology recognition


Aviation ◽  
2011 ◽  
Vol 15 (1) ◽  
pp. 21-24 ◽  
Author(s):  
Mariya Grigorak ◽  
Olga Shkvar

Managers must make strategic decisions to cope with issues of uncertainty, customer service and the management of a company. The objective of this paper is to analyse the problem of optimisation and search of rational logistic decisions, taking into account the human factor and, in particular, the preferences of people who make decisions and implement them during the logistic activity of an enterprise. The problem of making optimal decisions for transportation of goods, taking into account the factor of urgency was investigated. Santrauka Marketingo vadybininkai turi priimti strateginius sprendimus, kaip suvaldyti neaiškias situacijas, organizuoti darbą su klientais bei su įmonės vadovybe. Šio tyrimo tikslas yra problemos optimizavimo analizė bei racionalių logistinių sprendimų paieška, įvertinant subjektyvumą ir iš dalies—pirmenybės sistemą asmenims, kurie priima sprendimus ir užtikrina jųįvykdymą, įgyvendinant logistinęįmonės veiklą. Išanalizuotas optimalaus spendimo priėmimas gabenant krovinius, kai reikia įvertintį skubumo faktorių.


2018 ◽  
Vol 25 (8) ◽  
pp. 1008-1017 ◽  
Author(s):  
Marianne Sharko ◽  
Lauren Wilcox ◽  
Matthew K Hong ◽  
Jessica S Ancker

Abstract Objective Medical privacy policies, which are clear-cut for adults and young children, become ambiguous during adolescence. Yet medical organizations must establish unambiguous rules about patient and parental access to electronic patient portals. We conducted a national interview study to characterize the diversity in adolescent portal policies across a range of institutions and determine the factors influencing decisions about these policies. Methods Within a sampling framework that ensured diversity of geography and medical organization type, we used purposive and snowball sampling to identify key informants. Semi-structured interviews were conducted and analyzed with inductive thematic analysis, followed by a member check. Results We interviewed informants from 25 medical organizations. Policies established different degrees of adolescent access (from none to partial to complete), access ages (from 10 to 18 years), degrees of parental access, and types of information considered sensitive. Federal and state law did not dominate policy decisions. Other factors in the decision process were: technology capabilities; differing patient population needs; resources; community expectations; balance between information access and privacy; balance between promoting autonomy and promoting family shared decision-making; and tension between teen privacy and parental preferences. Some informants believed that clearer standards would simplify policy-making; others worried that standards could restrict high-quality polices. Conclusions In the absence of universally accepted standards, medical organizations typically undergo an arduous decision-making process to develop teen portal policies, weighing legal, economic, social, clinical, and technological factors. As a result, portal access policies are highly inconsistent across the United States and within individual states.


2018 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Rizaldi Akbar

a b s t r a c t This research aims to make a ranking College in Aceh and its applications processing data.The College in question is 25 (twenty five) in the region XIII Kopertis Aceh province using Simple Additive Weighting (SAW) is one method that can be used to solve the problem of Fuzzy MADM. Application of decision support system (DSS) this can take account of all criteria that support decision making in order to help speed up and facilitate the decision-making process and do the rangking in particular. Based on the results of the study it can be concluded then the Fuzzy method of Multi Attribute Decision Making (FMADM) and Simple Additive Weighting (SAW) can provide information ranking College, where the final results will be calculated the value of preferences (Vi) the highest of each alternative.The highest value was made the first priority as the best college. The end result of the application of the method of College ranking in the form of the SAW with the first order at Serambi Mekkah of University with the value of 0.89 and a low of STMIK Abulyatama value of 0.38. a b s t r a k Penelitian ini bertujuan untuk membuat sebuah perangkingan perguruan tinggi di Aceh beserta aplikasi pengolahan datanya. Perguruan tinggi yang dimaksudkan adalah 25 (dua puluh lima) PTS di Wilayah Kopertis Wilayah XIII Provinsi Aceh dengan menggunakan Metode Simple Additive Weighting (SAW) merupakan salah satu metode yang dapat digunakan untuk menyelesaikan masalah Fuzzy MADM. Aplikasi Sistem Pendukung Keputusan (SPK) ini dapat memperhitungkan segala kriteria yang mendukung pengambilan keputusan guna membantu mempercepat dan mempermudah proses pengambilan keputusan dan melakukan perangkingan khususnya. Berdasarkan hasil penelitian maka dapat disimpulkan Metode Fuzzy Multi Attribute Decision Making (FMADM) dan Simple Additive Weighting (SAW) dapat memberikan informasi perangkingan perguruan tinggi, dimana hasil akhir akan dihitung nilai preferensi (Vi) tertinggi dari masing-masing alternatif. Nilai tertinggi dijadikan prioritas pertama sebagai perguruan tinggi terbaik. Hasil akhir dari penerapan metode SAW berupa perangkingan perguruan tinggi dengan urutan pertama pada Universitas Serambi Mekkah dengan nilai 0.89 dan terendah STMIK Abulyatama dengan nilai 0.38.


ACC Journal ◽  
2020 ◽  
Vol 26 (2) ◽  
pp. 29-40
Author(s):  
Petra Kašparová

Growing pressure on increasing decision-making speed in all spheres of human life is one of the basic phenomena of today. Immediately after the first wave of the coronavirus pandemic, we can consider the ability of making good decisions quickly as one of the most important aspects of our being. The main objective of this article is to find out the utilization rate of several basic decision-making approaches in selected companies with an emphasis on newly used methods such as data analysis and business intelligence tools. The first part of the article presents a short introduction of the decision-making process and an overview of hitherto known and used tools facilitating the whole procedure. The submitted study of available literature leads to the presentation of own classification of the most widely used decisionmaking methods. Based on a questionnaire survey, in the second section, the pilot research examines the involvement of five different groups of methods in business decision-making, such as intuition and previous experiences, consultation with colleagues, data analysis (historical), MCDM methods and consultation with experts. Afterwards, the most common obstacles that employees must face in introducing new tools have been identified. In general, the results show that time and the associated pressure on decision-making speed play a crucial role in the decision-making process.


1990 ◽  
Vol 33 (6) ◽  
pp. 23-26
Author(s):  
Kurt Weigel

Scientific evidence indicates that ozone depletion over the South Pole is more serious than was suspected a few years ago. As a result, production of the principal ozone-depleting compounds is scheduled to be phased out over the next decade. The impact of the elimination of these chemicals on industries will be immediate and significant, with the aerospace and electronics industries among the most severely affected. Alternative solvents, refrigerants, and foam-blowing agents are being developed, but will not be available in commercial quantities until 1992 at the earliest. Meanwhile, CFC users are working with the chemical manufacturers, EPA, DoD, and various research organizations, to speed up the process of identifying and implementing alternative compounds or processes. Most of the proposed alternatives have some drawbacks when compared with CFCs, but can be implemented safely if the user takes the time to understand the issues thoroughly and involves all affected parties in the decision-making process.


2008 ◽  
Vol 5 (11) ◽  
pp. i-ii ◽  
Author(s):  
André Sobczyk ◽  
Flavien Carpentier ◽  
Sébastien Paris

2008 ◽  
Vol 74 (2) ◽  
pp. 251-282 ◽  
Author(s):  
Erik-Hans Klijn ◽  
Jurian Edelenbos ◽  
Michiel Kort ◽  
Mark van Twist

This article looks at how managers in large infrastructure projects in The Netherlands deal with difficult choices, which are labelled dilemmas in this article, in their managerial activities. It presents the results of a survey of 32 managers in 18 complex decision-making projects in which public—private partnerships (PPPs) play an important role. The managers were presented with a number of choices and asked to rate the amount of attention they paid to each of the choices. The article focuses on four (groups of) dilemmas managers face in the inter-organizational context of these processes: (1) interaction with parties, (2) strategic orientation, (3) management style and (4) process dynamics.After a brief elaboration of the role of (network) managers in complex PPP projects and the nature of the dilemmas they face, the four groups of dilemmas are explored by looking at how managers scored on the dilemmas within each group. Conclusions are drawn about managers' perceptions of these dilemmas and the differences between projects. The different choices of dilemmas are then compared with the differences between the scores of the outputs of the projects as perceived by the managers. Finally, general conclusions are drawn about the dilemmas chosen by managers and the consequences of these choices. Points for practioners Pay attention to commitment, goal searching, communication and vertical relations if you want good outcomes in complex environmental projects. Do managers of complex spatial and environmental projects in general choose to open up the decision-making process for stakeholders to enhance support and use the knowledge of stakeholders or do they choose a more closed decision-making process that reduces the number of actors and might speed up the decision-making process? In general, one can see many of these managerial choices between a more project oriented style, that focuses on control, specifying goals, keeping the budget, etc., and a more process oriented style that focuses on activating actors, creating support, or exploring possible content. If we look at the 32 managerial strategies that were researched, there are a few strategies that are positively and strongly correlated to positive perceived outcomes of projects: commitment, goals searching, vertical relationships and communication.


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