Hasil untuk "The performing arts. Show business"

Jeroen Middelhuis, Zaharah Bukhsh, Ivo Adan et al.

Resource allocation plays a critical role in minimizing cycle time and improving the efficiency of business processes. Recently, Deep Reinforcement Learning (DRL) has emerged as a powerful technique to optimize resource allocation policies in business processes. In the DRL framework, an agent learns a policy through interaction with the environment, guided solely by reward signals that indicate the quality of its decisions. However, existing algorithms are not suitable for dynamic environments such as business processes. Furthermore, existing DRL-based methods rely on engineered reward functions that approximate the desired objective, but a misalignment between reward and objective can lead to undesired decisions or suboptimal policies. To address these issues, we propose a rollout-based DRL algorithm and a reward function to optimize the objective directly. Our algorithm iteratively improves the policy by evaluating execution trajectories following different actions. Our reward function directly decomposes the objective function of minimizing the cycle time, such that trial-and-error reward engineering becomes unnecessary. We evaluated our method in six scenarios, for which the optimal policy can be computed, and on a set of increasingly complex, realistically sized process models. The results show that our algorithm can learn the optimal policy for the scenarios and outperform or match the best heuristics on the realistically sized business processes.

Elvys Linhares Pontes, Mohamed Benjannet, Raymond Yung

Understanding the business cycle is crucial for building economic stability, guiding business planning, and informing investment decisions. The business cycle refers to the recurring pattern of expansion and contraction in economic activity over time. Economic analysis is inherently complex, incorporating a myriad of factors (such as macroeconomic indicators, political decisions). This complexity makes it challenging to fully account for all variables when determining the current state of the economy and predicting its future trajectory in the upcoming months. The objective of this study is to investigate the capacity of machine learning models in automatically analyzing the state of the economic, with the goal of forecasting business phases (expansion, slowdown, recession and recovery) in the United States and the EuroZone. We compared three different machine learning approaches to classify the phases of the business cycle, and among them, the Multinomial Logistic Regression (MLR) achieved the best results. Specifically, MLR got the best results by achieving the accuracy of 65.25% (Top1) and 84.74% (Top2) for the EuroZone and 75% (Top1) and 92.14% (Top2) for the United States. These results demonstrate the potential of machine learning techniques to predict business cycles accurately, which can aid in making informed decisions in the fields of economics and finance.

Ugochukwu Orji, Ezugwu Obianuju, Modesta Ezema et al.

The data revolution experienced in recent times has thrown up new challenges and opportunities for businesses of all sizes in diverse industries. Big data analytics is already at the forefront of innovations to help make meaningful business decisions from the abundance of raw data available today. Business intelligence and analytics has become a huge trend in todays IT world as companies of all sizes are looking to improve their business processes and scale up using data driven solutions. This paper aims to demonstrate the data analytical process of deriving business intelligence via the historical data of a fictional bike share company seeking to find innovative ways to convert their casual riders to annual paying registered members. The dataset used is freely available as Chicago Divvy Bicycle Sharing Data on Kaggle. The authors used the RTidyverse library in RStudio to analyse the data and followed the six data analysis steps of ask, prepare, process, analyse, share, and act to recommend some actionable approaches the company could adopt to convert casual riders to paying annual members. The findings from this research serve as a valuable case example, of a real world deployment of BIA technologies in the industry, and a demonstration of the data analysis cycle for data practitioners, researchers, and other potential users.

Shun-Yang Lee, Julian Runge, Daniel Yoo et al.

Research has investigated the impact of the COVID-19 pandemic on business performance and survival, indicating particularly adverse effects for small and midsize businesses (SMBs). Yet only limited work has examined whether and how online advertising technology may have helped shape these outcomes, particularly for SMBs. The aim of this study is to address this gap. By constructing and analyzing a novel data set of more than 60,000 businesses in 49 countries, we examine the impact of government lockdowns on business survival. Using discrete-time survival models with instrumental variables and staggered difference-in-differences estimators, we find that government lockdowns increased the likelihood of SMB closure around the world but that use of online advertising technology attenuates this adverse effect. The findings show heterogeneity in country, industry, and business size, which we discuss and is consistent with theoretical expectations.

Jonathon Crewe

'Last night, locked in...' is a narrative film made during the Covid-19 lockdowns of 2020 and 2021. Made as a response to, and reflection on, domestic confinement's impact on time, memory and identity, it employed an embedded filmmaking approach using only the equipment, props and actors available on location. As a response to the disorientation of temporal markers of memory and identity, the filmmaker investigated how narrative fiction could decontextualise confinement's estrangement of time to allow the author, protagonist and viewer a shared experience in discovering new meanings and understandings that could facilitate a re-ordering of memories and (re)stabilisation of personal identity.

Laura Fobbio, Micaela van Muylem

Presentación del Dossier: "Artes escénicas y traducciones"

Willem van Jaarsveld, Joachim Arts

We consider the canonical periodic review lost sales inventory system with positive lead-times and stochastic i.i.d. demand under the average cost criterion. We introduce a new policy that places orders such that the expected inventory level at the time of arrival of an order is at a fixed level and call it the Projected Inventory Level (PIL) policy. We prove that this policy has a cost-rate superior to the equivalent system where excess demand is back-ordered instead of lost and is therefore asymptotically optimal as the cost of losing a sale approaches infinity under mild distributional assumptions. We further show that this policy dominates the constant order policy for any finite lead-time and is therefore asymptotically optimal as the lead-time approaches infinity for the case of exponentially distributed demand per period. Numerical results show this policy also performs superior relative to other policies.

Patrick Mellacher

I develop a simple Schumpeterian agent-based model where the entry and exit of firms, their productivity and markup, the birth of new industries and the social structure of the population are endogenous and use it to study the causes of rising inequality and "declining business dynamism" since the 1980s. My hybrid model combines features of i) the so-called Schumpeter Mark I (centering around the entrepreneur), ii) the Mark II model (emphasizing the innovative capacities of firms), and iii) Cournot competition, with firms using OLS learning to estimate the market environment and the behavior of their competitors. A scenario which is quantitatively calibrated to US data on growth and inequality replicates a large number of stylized facts regarding the industry life-cycle, growth, inequality and all ten stylized facts on "declining business dynamism" proposed by Akcigit and Ates (AEJ:Macro, 2021). Counterfactual simulations show that antitrust policy is highly effective at combatting inequality and increasing business dynamism and growth, but is subject to a conflict of interest between workers and firm owners, as GDP and wages grow at the expense of profits. Technological factors, on the other hand, are much less effective in combatting declining business dynamism in my model.

Stefan Östersjö, Thủy Thanh Nguyễn

This video article explores the embodied experience of migration by revisiting the process of making Arrival Cities: Hanoi. This piece of experimental music theatre sought a new format for politically informed theatre that would be responsive to the challenges of a globalized society. It is built on ethnographic fieldwork carried out by the Vietnamese/Swedish group The Six Tones, in collaboration with director Jörgen Dahlqvist and the composer Kent Olofsson.The role of this ethnographic process was manifold. It was a means of a political engagement, which also created images that could be shared and transformed in the performance. In Arrival Cities: Hanoi, the stage was set so that the three performers could play their instruments, perform choreography, and tell stories. A central aim was to make the individual memories of the performers a cornerstone of the dramaturgy. We are interested in how memory is embodied and how performative ethnography can constitute a method for an ethically and artistically grounded practice, within which we also emphasize the role of empathy and the sharing of individual life stories.In this video article, we give particular attention to the choreographies that were recorded and created as part of this process. Intercultural music and theatre operate in a liminal space between traditions, where aesthetic choices are difficult to negotiate. Without trust and empathy, these negotiations cannot reach beyond the surface. In Arrival Cities: Hanoi, composer, director, and performers were all engaged in such learning processes, and the music as performed can be seen as the embodiment of a particular narrative, grounded in an intercultural collaboration. Editor's Note: The acknowledgements section was missing from the original submission. It has been added to the transcript on 20/04/2020.

Paul Cooke

Paul Cooke explores an arts-based development project that took place in South Afrika around ‘Safe Parks’ in Johannesburg. Cooke’s research statement analyses the film’s co-creation with its collaborator and subject, the young filmmaker Phendulani, and in so doing, deconstructs the relationship between filmmaker and subject. The film makes the process of participatory filmmaking explicit, drawing on self-reflexive practice and foregrounds the on-going ethical dilemmas that arise from this kind of collaborative project. In this artist-researcher-teacher role, Cooke has developed a number of participatory filmmaking projects, that use filmmaking as a powerful tool for social action.

Ciane Fernandes

No contexto da Prática Artística como Pesquisa, a Arte do Movimento de Rudof Laban fundamenta princípios da Abordagem Somático-Performativa e, mais especificamente, da Pesquisa Somático-Performativa. Sob a perspectiva da Análise Laban/Bartenieff de Movimento, a performatividade consiste no mover e ser co-movido por pulsões espaciais, entre matéria e energia, ebulição e pausa, integrando-se com princípios somáticos, exemplificados no texto com atividades dos Laboratórios de Performance do Programa de Pós-Graduação em Artes Cênicas da Universidade Federal da Bahia (PPGAC/UFBA). Através de procedimentos somático-performativos, os processos de pesquisa em artes cênicas são guiados pela vivência criativa em movimento, em imersões de improvisação e análise, dança e escrita, gradualmente estruturando a inovação do conhecimento de modo dinâmico, coerente e relevante.   Palavras-chaves Arte do Movimento. Análise Laban/Bartenieff de Movimento. Somática. Prática Artística como Pesquisa. Pesquisa Somático-Performativa.

Nayara Macedo Barbosa de Brito

The dramatic character, as forged by the Aristotelian-Hegelian tradition, got through a decomposition-recomposition process throughout the 20th century, achieving new basis and nomenclature. For that matter, we propose to investigate the pertinence of the Figure’s conception developed by Gilles Deleuze (1981) from the analysis of the Anglo-Irish painter Francis Bacon’s work and as a theoretical development of the homonymous notion formulated by Jean-François Lyotard (1979) to the analysis of a part of the modern and contemporary dramaturgies. To do so, we collate a few examples of this dramaturgy and its staging with the Baconean paintings, organizing our discussion from some of the analytical categories raised by Deleuze in his study.   Keywords   Figure. Figural. Modern Dramaturgy. Contemporary Dramaturgy. Francis Bacon.

Katarzyna Kułakowska, Katarzyna Kalinowska, Olga Drygas et al.

This article offers a preliminary diagnosis of Polish social theaters with regard to the crises of the individual and the community during the Covid-19 pandemic. The interpretive framework is Lidia Zamkow’s concept of the theater of ambulatory care, which allows us to locate the activity of social theaters in the context of Michel de Certeau’s tactics and Jack Halberstam’s low theories. The theater of ambulatory care recognizes the needs of individuals and communities in a pandemic crisis and reacts to them in different ways. We distinguish and describe three ideal types of diagnoses and the resulting treatments that theaters of ambulatory care use in a pandemic: therapy, conjuring, and revolution. The article is based on materials collected during two studies: a funded research project on the anthropological and social activity of the Węgajty Theater, carried out at the Institute of Art of the Polish Academy of Sciences, and a survey among theater staff during the pandemic, initiated by the Zbigniew Raszewski Theater Institute in Warsaw.

Muhammad Javed, Yuqing Lin

Extracting conceptual models, e.g., entity relationship model or Business Process model, from software requirement document is an essential task in the software development life cycle. Business process model presents a clear picture of required system functionality. Operations in business process model together with the data entity consumed, help the software developers to understand the database design and operations to be implemented. Researchers have been aiming at automatic extraction of these artefacts from the requirement document. In this paper, we present an automated approach to extract the entity relationship and business process models from requirements, which are possibly in different formats such as general requirements, use case specification and user stories. Our approach is based on the efficient natural language processing techniques.

Faustino Prieto, José María Sarabia, Enrique Calderín-Ojeda

In this paper, we analyzed how business age and mortality are related during the first years of life, and tested the different hypotheses proposed in the literature. For that, we used data on U.S. business establishments, with 1-year resolution in the range of age of 0-5 years, in the period 1977-2016, published by the United States Census Bureau. First, we explored the adaptation of classical techniques of survival analysis (the Life Table and Peto-Turnbull methods) to the business survival analysis. Then, we considered nine parametric probabilistic models, most of them well-known in reliability analysis and in the actuarial literature, with different shapes of the hazard function, that we fitted by maximum likelihood method and compared with the Akaike information criterion. Our findings show that newborn firms seem to have a decreasing failure rate with the age during the first five years in market, with the exception of the first months of some years in which the risk can rise.

Michele Missikoff

Low Code platforms, according to Gartner Group, represent one of the more disruptive technologies in the development and maintenance of enterprise applications. The key factor is represented by the central involvement of business people and domain expert, with a substantial disintermediation with respect to technical people. In this paper we propose a methodology conceived to support non-technical people in addressing business process innovation and developing enterprise software application. The proposed methodology, called EasInnova, is solidly rooted in Model-Driven Engineering and adopts a three staged model of an innovation undertaking. The three stages are: AsIs that models the existing business scenario; Transformation that consists in the elaboration of the actual innovation; ToBe that concerns the modeling of new business scenario. The core of EasInnova is represented by a matrix where columns are the three innovation stages and the rows are the three Model-Driven Architecture layers: CIM, PIM, PSM. The cells indicate the steps to be followed in achieving the sought innovation. Finally, the produced models will be transferred onto a BonitaSoft, the Low Code platform selected in our work. The methodology is described by means of a simple example in the domain of home food delivery.

Andre Indrawan

This research is a bio-bibliographical study of an American ethnomusicologist, Anthony Seeger. Issues discussed include seeking information about Seeger as an important figure, his contribution to scientific development, music education, music history, and basic knowledge of ethnomusicology. Since the data are in the form of written sources that not only come from his works but also the works of others who cite his works so that literature review is used as a research method to obtain answers to the problems raised. This study concluded that the anthropological approach greatly influenced the characteristics of Seeger’s field research in studying the Suyá’s music in the interior part of Brazil. The report from the research turned out to be an essential source for the development of Seeger’s theories of musical anthropology. From the success of Seeger, we could learn how important fieldwork is in ethnomusicology.   Kontribusi Anthony Seeger Terhadap Etnomusikologi: Sebuah Bio-Bibliografi Pengarang The Why Suya’ Sing (1987). Penelitian ini adalah studi bio-bibliografi seorang etnomusikolog Amerika, Anthony Seeger. Masalah yang dibahas termasuk mencari informasi tentang Seeger sebagai tokoh penting, kontribusinya terhadap pengembangan ilmiah, pendidikan musik, sejarah musik, dan pengetahuan dasar tentang etnomusikologi. Karena semua data tersebut dalam bentuk sumber tertulis yang tidak hanya berasal dari karya-karyanya tetapi juga karya-karya orang lain yang mengutip karya-karyanya, sehingga tinjauan pustaka digunakan sebagai metode penelitian untuk mendapatkan jawaban atas masalah yang diajukan. Studi ini menyimpulkan bahwa pendekatan antropologis sangat mempengaruhi karakteristik penelitian lapangan Seeger dalam mempelajari musik Suyá di bagian interior Brasil. Laporan dari penelitian ini ternyata menjadi sumber penting untuk pengembangan teori antropologi musikal Seeger. Dari keberhasilan Seeger, kita bisa belajar betapa pentingnya kerja lapangan dalam etnomusikologi. Kata kunci: etnomusikologi; kerja lapangan; antropologi musikal; Seeger; Suyá

Ario Santoso, Michael Felderer

Predictive analysis in business process monitoring aims at forecasting the future information of a running business process. The prediction is typically made based on the model extracted from historical process execution logs (event logs). In practice, different business domains might require different kinds of predictions. Hence, it is important to have a means for properly specifying the desired prediction tasks, and a mechanism to deal with these various prediction tasks. Although there have been many studies in this area, they mostly focus on a specific prediction task. This work introduces a language for specifying the desired prediction tasks, and this language allows us to express various kinds of prediction tasks. This work also presents a mechanism for automatically creating the corresponding prediction model based on the given specification. Differently from previous studies, instead of focusing on a particular prediction task, we present an approach to deal with various prediction tasks based on the given specification of the desired prediction tasks. We also provide an implementation of the approach which is used to conduct experiments using real-life event logs.

Revista Cena PPGAC

Michał Okulewicz, Weronika Aniper, Bartłomiej Dach et al.

This article identifies a gap between the existence of a various psychometric tests approaches and other team performance assessment tools (e.g. business and management games). As a response to the lack of tools able to utilize the knowledge about the behaviour patterns expressed in work environment and descriptive business games, the article presents a game proposal. The mechanics of the proposed game should allow for a quantifiable assessment of an individual in the simulated project development environment, making it possible to evaluate not only the team's performance, but the impact of actions of the individual players and their interactions.