scholarly journals Hybrid Customer-Centric Sales Forecasting Model Using AI ML Approaches

2021 ◽  
Author(s):  
Sanket Londhe ◽  
Sushila Palwe
Keyword(s):  
Hybrid Approach ◽  
Decision Makers ◽  
Forecasting Model ◽  
Customer Data ◽  
Market Basket ◽  
Sales Prediction ◽  
Pros And Cons ◽  
To Come ◽  
Intelligent Approach ◽  
The Impact

Business Intelligence is a process of preparing, analyzing, presenting, and maintaining the data to gain insights for the decision-makers to make informed decisions. While there are many approaches to predict the growth based on the sales figures a very few consider the influence of customer data on the forecasting and the relevance of the same while making the predictions. So, in this study, we will look at some of the existing techniques used so far to make predictions and studies used to understand the customer data. With the analysis, we shall try to devise a hybrid approach to the traditional sales prediction, which would include a customer-centric data analysis. We shall look at some of the techniques which are traditionally used in Market Basket analysis and at the same time look at the techniques like classification, segmentation, regression, etc. to get a perception of the impact of customer data on sales forecasting. We shall highlight all the pros and cons of the algorithms and try to come up with an intelligent approach that would give accurate results

scholarly journals An intelligent approach for analyzing the impacts of the COVID-19 pandemic on marketing mix elements (7Ps) of the on-demand grocery delivery service

2021 ◽  
Author(s):  
Burak Can Altay ◽  
Abdullah Okumuş ◽  
Burcu Adıgüzel Mercangöz
Keyword(s):  
Marketing Mix ◽  
Decision Makers ◽  
Comparative Approach ◽  
Grocery Shopping ◽  
Delivery Service ◽  
On Demand ◽  
Self Service ◽  
Intelligent Approach ◽  
The Impact ◽  
Hierarchy Process

AbstractDue to the impact of the COVID-19 pandemic, on-demand grocery delivery service that combines mobile technology and city logistics has gained tremendous popularity among grocery shoppers as a substitute to self-service grocery shopping in the store. This paper proposes an intelligent comparative approach where fuzzy logic and the analytical hierarchy process (AHP) method are combined to determine the importance weights of the criteria for marketing mix elements (7Ps) of the on-demand grocery delivery service for the period before COVID-19 and during COVID-19. In addition to its comprehensive theoretical insight, this paper provides a practical contribution to decision makers who create a marketing mix for the on-demand grocery delivery service and other similar online grocery businesses in terms of efficient allocation of resources to the development of marketing mix elements. The study’s findings can also provide clues for the decision makers in times of similar pandemics and crises that are likely to be seen in the future.

scholarly journals Fragile Algorithms and Fallible Decision-Makers: Lessons from the Justice System

2021 ◽  
Vol 35 (4) ◽  
pp. 71-96
Author(s):  
Jens Ludwig ◽  
Sendhil Mullainathan
Keyword(s):  
Machine Learning ◽  
Criminal Justice ◽  
Criminal Justice System ◽  
Justice System ◽  
Decision Makers ◽  
Social Scientists ◽  
To Come ◽  
The Impact

Algorithms (in some form) are already widely used in the criminal justice system. We draw lessons from this experience for what is to come for the rest of society as machine learning diffuses. We find economists and other social scientists have a key role to play in shaping the impact of algorithms, in part through improving the tools used to build them.

“New Normal”: Analisis Penerimaan Menggunakan Balance Score Card

2020 ◽  
Vol 3 (2) ◽  
pp. 396-402
Author(s):  
Maria Florentina Rumba ◽  
Margaretha P.N Rozady ◽  
Theresia W. Mado
Keyword(s):  
Higher Education ◽  
Higher Education Institutions ◽  
Normal Phase ◽  
Physical Contact ◽  
New Normal ◽  
Face To Face ◽  
Balance Score Card ◽  
Score Card ◽  
Pros And Cons ◽  
The Impact

Abstrak: Kebiasaan manusia berubah karena adanya wabah COVID-19, hal ini berpengaruh ketika manusia masuk ke dalam fase new normal. New normal diartikan sebagai keadaan yang tidak biasa dilakukan sebelumnya, yang kemudian dijadikan sebagai standar atau kebiasaan baru yang mesti dilakukan manusia untuk dirinya sendiri maupun untuk bersosialisasi dengan orang lain. Kebiasaan baru ini pun menimbulkan pro dan kontra seiring dengan dampak yang timbul. Lembaga pendidikan tinggi merupakan salah satu yang merasakan dampak penerapan new normal. Perkuliahan yang selama ini dilakukan secara online/daring, akan kembali dilakukan secara luring/tatap muka, dengan tetap menerapkan protokol COVID-19 seperti mengenakan masker, menjaga jarak, mengenakan sarung tangan, serta tidak melakukan kontak fisik seperti berjabat tangan. Masalah yang muncul bukan hanya kecemasan orang tua terhadap anak – anaknya, tetapi bagaimana lembaga pendidikan tinggi mengatur segala sumber daya yang dimiliki agar memenuhi standar penerapan new normal. penelitian ini bertujuan untuk mengetahui penerimaan  terhadap kondisi normal yang baru menggunakan Perspektif balance score card. Abstract: Human habits change because of the COVID-19 outbreak, this affects when humans enter the new normal phase. New normal is defined as a condition that is not normally done before, which is then used as a standard or new habits that must be done by humans for themselves or to socialize with others. This new habit also raises the pros and cons along with the impact arising with the new normal. Higher education institutions are the ones who feel the impact of implementing new normal. Lectures that have been conducted online / online will be re-done offline / face to face, while still applying the COVID-19 protocol such as wearing a mask, keeping a distance, wearing gloves, and not making physical contact such as shaking hands. The problem that arises is not only parents' anxiety about their children, but how higher education institutions regulate all available resources to meet new normal implementation standards. This study aims to determine acceptance of new normal conditions using the balance score card Perspective.

What is the Business with AI? Preparing Future Decision Makers and Leaders

2020 ◽  
Author(s):  
Helena S. Wisniewski
Keyword(s):  
Data Science ◽  
Decision Makers ◽  
Management Skills ◽  
Business Courses ◽  
College Of Business ◽  
College Of Engineering ◽  
Investment Firm ◽  
Business Curricula ◽  
The University ◽  
The Impact

With companies now recognizing how artificial intelligence (AI), digitalization, the internet of things (IoT), and data science affect value creation and the maintenance of a competitive advantage, their demand for talented individuals with both management skills and a strong understanding of technology will grow dramatically. There is a need to prepare and train our current and future decision makers and leaders to have an understanding of AI and data science, the significant impact these technologies are having on business, how to develop AI strategies, and the impact all of this will have on their employees’ roles. This paper discusses how business schools can fulfill this need by incorporating AI into their business curricula, not only as stand-alone courses but also integrated into traditional business sequences, and establishing interdisciplinary efforts and collaborative industry partnerships. This article describes how the College of Business and Public Policy (CBPP) at the University of Alaska Anchorage is implementing multiple approaches to meet these needs and prepare future leaders and decision makers. These approaches include a detailed description of CBPP’s first AI course and related student successes, the integration of AI into additional business courses such as entrepreneurship and GSCM, and the creation of an AI and Data Science Lab in partnership with the College of Engineering and an investment firm.

Fluxus and the Absurd (1961–62)

2017 ◽  
Author(s):  
Benjamin R. Levy
Keyword(s):  
Second Life ◽  
The Self ◽  
Major Work ◽  
The Future ◽  
To Come ◽  
The Impact

After John Cage’s 1958 Darmstadt lectures, many European composers developed an interest in absurdity and artistic provocation. Although Ligeti’s fascination with Cage and his association with the Fluxus group was brief, the impact it had on his composition was palpable and lasting. A set of conceptual works, The Future of Music, Trois Bagatelles, and Poème symphonique for one hundred metronomes, fall clearly into the Fluxus model, even as the last has taken on a second life as a serious work. This spirit, however, can also be seen in the self-satire of Fragment and the drama and irony of Volumina, Aventures, and Nouvelles Aventures. The sketches for Aventures not only show the composer channeling this humor into a major work but also prove to be a fascinating repository of ideas that Ligeti would reuse in the years to come.

Are e-learning Webinars the future of medical education? An exploratory study of a disruptive innovation in the COVID-19 era

2020 ◽  
pp. 1-10
Author(s):  
Colin J. McMahon ◽  
Justin T. Tretter ◽  
Theresa Faulkner ◽  
R. Krishna Kumar ◽  
Andrew N. Redington ◽  
...  
Keyword(s):  
Deep Learning ◽  
Carbon Footprint ◽  
Quantitative Research ◽  
Survey Design ◽  
Hybrid Approach ◽  
Disruptive Innovation ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
E Learning ◽  
The Impact

Abstract Objective: This study investigated the impact of the Webinar on deep human learning of CHD. Materials and methods: This cross-sectional survey design study used an open and closed-ended questionnaire to assess the impact of the Webinar on deep learning of topical areas within the management of the post-operative tetralogy of Fallot patients. This was a quantitative research methodology using descriptive statistical analyses with a sequential explanatory design. Results: One thousand-three-hundred and seventy-four participants from 100 countries on 6 continents joined the Webinar, 557 (40%) of whom completed the questionnaire. Over 70% of participants reported that they “agreed” or “strongly agreed” that the Webinar format promoted deep learning for each of the topics compared to other standard learning methods (textbook and journal learning). Two-thirds expressed a preference for attending a Webinar rather than an international conference. Over 80% of participants highlighted significant barriers to attending conferences including cost (79%), distance to travel (49%), time commitment (51%), and family commitments (35%). Strengths of the Webinar included expertise, concise high-quality presentations often discussing contentious issues, and the platform quality. The main weakness was a limited time for questions. Just over 53% expressed a concern for the carbon footprint involved in attending conferences and preferred to attend a Webinar. Conclusion: E-learning Webinars represent a disruptive innovation, which promotes deep learning, greater multidisciplinary participation, and greater attendee satisfaction with fewer barriers to participation. Although Webinars will never fully replace conferences, a hybrid approach may reduce the need for conferencing, reduce carbon footprint. and promote a “sustainable academia”.

scholarly journals Droplet impact onto a spring-supported plate: analysis and simulations

2021 ◽  
Vol 128 (1) ◽  
Author(s):  
Michael J. Negus ◽  
Matthew R. Moore ◽  
James M. Oliver ◽  
Radu Cimpeanu
Keyword(s):  
High Speed ◽  
Flexible Substrate ◽  
Practical Importance ◽  
Hybrid Approach ◽  
Hydrodynamic Pressure ◽  
Analytical Framework ◽  
Canonical System ◽  
Linear Process ◽  
Plate Motion ◽  
The Impact

AbstractThe high-speed impact of a droplet onto a flexible substrate is a highly non-linear process of practical importance, which poses formidable modelling challenges in the context of fluid–structure interaction. We present two approaches aimed at investigating the canonical system of a droplet impacting onto a rigid plate supported by a spring and a dashpot: matched asymptotic expansions and direct numerical simulation (DNS). In the former, we derive a generalisation of inviscid Wagner theory to approximate the flow behaviour during the early stages of the impact. In the latter, we perform detailed DNS designed to validate the analytical framework, as well as provide insight into later times beyond the reach of the proposed analytical model. Drawing from both methods, we observe the strong influence that the mass of the plate, resistance of the dashpot, and stiffness of the spring have on the motion of the solid, which undergo forced damped oscillations. Furthermore, we examine how the plate motion affects the dynamics of the droplet, predominantly through altering its internal hydrodynamic pressure distribution. We build on the interplay between these techniques, demonstrating that a hybrid approach leads to improved model and computational development, as well as result interpretation, across multiple length and time scales.

scholarly journals Financing Growth through Remittances and Foreign Direct Investment: Evidences from Balkan Countries

2021 ◽  
Vol 14 (3) ◽  
pp. 117
Author(s):  
Esmeralda Jushi ◽  
Eglantina Hysa ◽  
Arjona Cela ◽  
Mirela Panait ◽  
Marian Catalin Voica
Keyword(s):  
Developing Economies ◽  
Central Banks ◽  
Sustainable Growth ◽  
Time Interval ◽  
Foreign Direct Investments ◽  
Factors Affecting ◽  
Balkan Countries ◽  
To Come ◽  
Sustainable Economic Growth ◽  
The Impact

The ultimate goal of central banks, worldwide, is to promote the foundations for sustainable economic growth. In the case of developing economies, in particular, such objective requires time, huge efforts, attention, and plenty of resources in order to be accomplished to the fullest degree. This paper thoroughly investigates key factors affecting Balkan countries’ economic development (as measured by gross domestic product (GDP) growth), focusing especially on the impact of remittances. The analysis was done over an 18-year time interval (2000–2017) and builds on 144 observations. The data figures were retrieved from the World Bank database while two dummies were created to test the impact of the last financial crisis (2008–2012). Econometric tools were employed to carry out a broad analysis on the interdependencies that exist and, in particular, to determine the role of remittance income on growth. The vector auto regressive model was estimated using EViews software, and was used to come up with relevant insights. Empirical findings suggest the following: population growth, remittances, and labor force participation are insignificant factors for sustainable growth. On the other hand, previous levels of GDP, trade, and foreign direct investments (FDIs) appear to be relevant for the predictor. This research provides up-to-date conclusions, which can be considered during the decision-making process of central banks, as well as by government policymakers.

scholarly journals A Retrospective Analysis of the COVID-19 Pandemic Evolution in Italy

Biology ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 311
Author(s):  
Anna Fochesato ◽  
Giulia Simoni ◽  
Federico Reali ◽  
Giulia Giordano ◽  
Enrico Domenici ◽  
...  
Keyword(s):  
Retrospective Analysis ◽  
Policy Design ◽  
Vaccination Campaign ◽  
Optimization Procedure ◽  
Decision Makers ◽  
Original Strain ◽  
Epidemiological Modeling ◽  
To Come ◽  
Reported Data ◽  
Refined Version

Late 2019 saw the outbreak of COVID-19, a respiratory disease caused by the new coronavirus SARS-CoV-2, which rapidly turned into a pandemic, killing more than 2.77 million people and infecting more than 126 million as of late March 2021. Daily collected data on infection cases and hospitalizations informed decision makers on the ongoing pandemic emergency, enabling the design of diversified countermeasures, from behavioral policies to full lockdowns, to curb the virus spread. In this context, mechanistic models could represent valuable tools to optimize the timing and stringency of interventions, and to reveal non-trivial properties of the pandemic dynamics that could improve the design of suitable guidelines for future epidemics. We performed a retrospective analysis of the Italian epidemic evolution up to mid-December 2020 to gain insight into the main characteristics of the original strain of SARS-CoV-2, prior to the emergence of new mutations and the vaccination campaign. We defined a time-varying optimization procedure to calibrate a refined version of the SIDARTHE (Susceptible, Infected, Diagnosed, Ailing, Recognized, Threatened, Healed, Extinct) model and hence accurately reconstruct the epidemic trajectory. We then derived additional features of the COVID-19 pandemic in Italy not directly retrievable from reported data, such as the estimate of the day zero of infection in late November 2019 and the estimate of the spread of undetected infection. The present analysis contributes to a better understanding of the past pandemic waves, confirming the importance of epidemiological modeling to support an informed policy design against epidemics to come.

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