Hasil untuk "The performing arts. Show business"

Dejan Grba

AI art comprises a spectrum of creative endeavors that emerge from and respond to the development of artificial intelligence (AI), the expansion of AI-powered economies, and their influence on culture and society. Within this repertoire, the relationship between the cognitive value of human vision and the wide application range of computer vision (CV) technologies opens a sizeable space for exploring the problematic sociopolitical aspects of automated inference and decision-making in modern AI. In this paper, I examine the art practices critically engaged with the notions and protocols of CV. After identifying and contextualizing the CV-related tactical AI art, I discuss the features of exemplar artworks in four interrelated subject areas. Their topical imbrications, common critical points, and shared pitfalls plot a wider landscape of tactical AI art, allowing me to detect factors that affect its poetic cogency, social responsibility, and political impact, some of which exist in the theoretical premises of digital art activism. Along these lines, I outline the routes for addressing the challenges and advancing the field.

Kai Hazelwood

Shedding is personal process, an interpersonal practice, and a guide map to societal and structural justice. Guided by the wisdom of creatures who shed their skin, On Grief At The End Of The World is a reflection on a moment of personal apocalypse and a ritual or practice for liberation: A snake doesn’t hesitate when it’s time to shed. She doesn’t try to cling to something uncomfortable but familiar, she doesn’t worry what lies on the other side of shedding, who she’ll be, will others recognize her. She simply sheds because her body knows it is time. 

Md. Jahidul Islam Razin, Md. Abdul Karim, M. F. Mridha et al.

Business sentiment analysis (BSA) is one of the significant and popular topics of natural language processing. It is one kind of sentiment analysis techniques for business purposes. Different categories of sentiment analysis techniques like lexicon-based techniques and different types of machine learning algorithms are applied for sentiment analysis on different languages like English, Hindi, Spanish, etc. In this paper, long short-term memory (LSTM) is applied for business sentiment analysis, where a recurrent neural network is used. An LSTM model is used in a modified approach to prevent the vanishing gradient problem rather than applying the conventional recurrent neural network (RNN). To apply the modified RNN model, product review dataset is used. In this experiment, 70\% of the data is trained for the LSTM and the rest 30\% of the data is used for testing. The result of this modified RNN model is compared with other conventional RNN models, and a comparison is made among the results. It is noted that the proposed model performs better than the other conventional RNN models. Here, the proposed model, i.e., the modified RNN model approach has achieved around 91.33\% of accuracy. By applying this model, any business company or e-commerce business site can identify the feedback from their customers about different types of products that customers like or dislike. Based on the customer reviews, a business company or e-commerce platform can evaluate its marketing strategy.

Jiaxing Wang, Yifeng Yu, Jiahan Song et al.

Next activity prediction represents a fundamental challenge for optimizing business processes in service-oriented architectures such as microservices environments, distributed enterprise systems, and cloud-native platforms, which enables proactive resource allocation and dynamic service composition. Despite the prevalence of sequence-based methods, these approaches fail to capture non-sequential relationships that arise from parallel executions and conditional dependencies. Even though graph-based approaches address structural preservation, they suffer from homogeneous representations and static structures that apply uniform modeling strategies regardless of individual process complexity characteristics. To address these limitations, we introduce RLHGNN, a novel framework that transforms event logs into heterogeneous process graphs with three distinct edge types grounded in established process mining theory. Our approach creates four flexible graph structures by selectively combining these edges to accommodate different process complexities, and employs reinforcement learning formulated as a Markov Decision Process to automatically determine the optimal graph structure for each specific process instance. RLHGNN then applies heterogeneous graph convolution with relation-specific aggregation strategies to effectively predict the next activity. This adaptive methodology enables precise modeling of both sequential and non-sequential relationships in service interactions. Comprehensive evaluation on six real-world datasets demonstrates that RLHGNN consistently outperforms state-of-the-art approaches. Furthermore, it maintains an inference latency of approximately 1 ms per prediction, representing a highly practical solution suitable for real-time business process monitoring applications. The source code is available at https://github.com/Joker3993/RLHGNN.

Azka Raisa Subagio

The cosplay industry is a rapidly growing sector of the creative economy, combining performing arts, craftsmanship, and digital entrepreneurship. With the rise in global interest in anime, gaming, and pop culture, cosplay has evolved from a recreational activity into a creative industry that generates income for designers, rental providers, photographers, and event organizers. However, the industry still faces major challenges, including high production costs, limited access to quality costumes, and a fragmented service system that hinders business scalability and collaboration. These conditions highlight the urgent need for a more integrated and technology-driven business approach. This study aims to design an application-based business model to address these barriers and optimize opportunities for cosplayers and service providers. A quantitative approach was employed by distributing questionnaires to 112 respondents from various cosplay communities and providers. The collected data were analyzed using descriptive statistics and Business Model Canvas (BMC) mapping to identify key components of the proposed model. Findings show that most respondents express a strong demand for digital platforms that provide affordable access to costumes, efficient rental and purchase services, and community-based features. The results further highlight revenue opportunities for providers and service providers through integrated application systems. This study contributes to the development of digital business models in creative industries and provides practical implications for entrepreneurs and policymakers in supporting innovation within the cosplay sector.

Y. T. Prasetyo, Leonardo Gunawan, Z. A. Belmonte et al.

Piano music school is a long-standing business worldwide. It has flourished continuously in Indonesia as many young artists engage in performing arts. Since the piano is one of the most popular instruments but the least investigated academically, researchers aimed to close the gap in both practical and academic motivations. The purpose of this study is to analyze the preference of pianists in choosing a piano music school through the application of the conjoint analysis approach. A total of 84 pianists answered the orthogonal-based questionnaire that was distributed through a purposive sampling approach. Findings showed that the duration was found to be the most important attribute (58.569 %), followed by price (13.934 %), schedule (8.546 %), genre (7.246 %), location (5.202 %), class type (4.552 %), and certification (1.951 %). Eighteen stimuli were investigated and the best stimulus was found to be the seventh combination. Specifically, piano schools should prioritize session prices amounting to IDR 500,000-1,000,000, private class style, jazz genre, three times a week training, at least 60 min session for each training, home school, and guided with a certification curriculum. This is one of the first studies that explored the importance of the piano music school attributes. Moreover, piano business schools can improve their business operations through the presented findings. Finally, the conjoint approach can be expanded to examine the preferences of other music schools and the usage of other musical instruments.

Yixin Shao, Fangze Cui, Ruiqi Xiong et al.

Intangible Cultural Heritage (ICH) across regions includes traditional music, crafts, folk customs, and performing art, with traditional crafts and visual arts falling in behind. They carry strong historical memories and regional identities. However, the acceleration of modernization and industrialization has made it difficult for them to be passed on, applied in the market and accepted by the society. Through the theoretical framework of Earthbound Culture, this paper explores the function of product design as an intermediary in protecting and revitalizing ICH. We conduct in-depth case studies on university-enterprise collaborations involving regional heritage projects to analyze how site-specific design can revitalize cultural heritage and integrate it with modern industry. Research shows that through the design intervention of the Earth Culture Paradigm, combined with cooperation, educational mechanisms and narrative techniques, the communication, business and innovation capabilities of ICH projects have been greatly enhanced, providing a replicable model for the inheritance of ICH.

Justyna Rybacka

Theoretical background: The years 2020 - 2023 were characterized by a dynamic macroeconomic situation. This posed a challenge for many companies, which were exposed to risks such as: disruption of supply chains, increased production and energy costs, falling demand, rising financing costs, as organizations faced a dilemma related to the continuation of their investments, and some of them had problems with financing current operations. Important from the point of view of many entities, especially those starting up operations, has become the search for alternative sources of financing than the commonly known bank loan. Purpose of the article: The purpose of the article is to verify whether crowdfunding has become an alternative method to bank products in terms of raising funds in 2020 - 2023. It is also crucial to verify what awareness and knowledge companies have regarding alternative forms of financing. Research methods: This article presents the results of an empirical study to identify the use of crowdfunding as a way for organizations to finance companies from 2020 to 2023. In addition, it was important to verify the ways of financing investments and current activities by the survey participants. In addition, the article uses a research methodology that includes critical analysis of secondary sources, as well as methods such as analysis, synthesis, description, deduction, induction and reduction. Polish and foreign literature on corporate finance was analysed. In addition, laws, resolutions, regulations, scientific works of other organizations and reports were analysed, which provided a valuable source of information on crowdfunding in 2020-2023. The generalizing-synthesizing method (deduction, reduction, induction) was used in formulating recommendations. The inductive method helped analyse the importance and characteristics of various sources of crowdfunding for the enterprise. In turn, the deductive method was used to analyse the issue starting from the macroeconomic situation in Poland and delving into the situations of enterprises and changes in the way they finance their activities. Performing a critical analysis of the literature, a reduction technique was used, thus verifying the formulated hypotheses. Main findings: The quantitative survey conducted on a group of 150 businesses showed that in 2020 - 2023 not a large percentage of respondents used crowdfunding. It was about 10% of respondents. Among the entities that chose this form of financing were mainly start-ups, companies from the IT, medical or beauty industries, as well as those related to culture and the arts. It is also important to note that awareness of this form of financing in the analysed period was relatively low. Only 20% of the surveyed entities indicated this form as interesting, while 24% had no opinion on the subject, and as many as 56% had no knowledge of this solution. The results of the survey showed that entrepreneurs in Poland mainly identify such forms of business financing as bank credit, own funds, capital borrowed from family/related parties.

Yusmanto Yusmanto, Uyu Wahyudi, Ace Suryadi et al.

Attention to migrant workers is a cross-sectoral joint work, such as the penta-helix approach, especially when they change status to former migrant workers. The community can empower former migrant workers by paying attention to their potential. The purpose of the research is to provide ideas for the design of learning community models for creative economy actors in the performing arts sub-sector for former migrant workers. The research methodology approaches quantitatively two creative economy communities. The research sample of former migrant workers who are members of the creative economy community engaged in the performing arts sub-sector was 65 people. Research findings that the empowerment of former Indonesian migrant workers can be done with a non-formal learning approach. Through an andragogy approach, learning organizations, adult habits, and non-formal learning components encourage the entrepreneurial independence of creative economy actors, thus providing a reference for a learning community model design with six stages (community negotiation, activity planning, Training on the job, strengthening social networks, performance actions, activity evaluation). The conclusion of the research results shows the impact of the development of former migrant workers, after participating in activities in the creative economy community can exploit themselves and stimulate the embryo of a business group that is integrated between non-formal learning and a facility for creative economy activities performing arts.

Watriningsih Watriningsih, Arifah Rachmawati, Meiliyah Ariani et al.

This Community Service Activity aims to improve the understanding and skills of students at Sanggar Insani Teater Cilincing, North Jakarta, in developing a creative economy based on local cultural identity supported by the use of digital technology. This program is motivated by the importance of cultural arts as an economic potential and community identity that needs to be developed through creative innovation. The implementation method was carried out through training, workshops, and mentoring that included exploring local culture in the performing arts, creative branding strategies, digital content creation, and the use of social media for the promotion and marketing of artwork. This activity was attended by students of the Insani Theater Studio in Cilincing, North Jakarta, with a participatory approach so that participants could learn and practice the skills taught. The results of the community service showed an increase in participants' understanding of the role of local culture in the development of the creative economy, as well as practical skills in using digital technology to support the production and promotion of artistic works. In addition, participants also showed an increase in creativity, confidence, and awareness of business opportunities based on art and culture. Thus, this activity not only provided short-term benefits in the form of increased knowledge, but also encouraged the formation of a young generation capable of integrating local cultural identity and technology as a mo

Dinh The Hung, Nguyen Quynh Anh, Nguyen Minh Thu

This study identifies key factors significantly impacting financial risk in listed manufacturing enterprises on the Vietnamese stock exchange, using the Least Absolute Shrinkage and Selection Operator (LASSO) variable selection method and constructing a machine learning model to predict financial risk. The research results show that the LASSO model identified five financial indicators influencing the financial risk faced by enterprises over five years (2020-2024), including: Short-term solvency ratio (Current Assets/Short-term Liabilities); Total asset turnover ratio (Revenue/Total Assets); ROA (Net Profit/Total Assets); Long-term Debt-to-Total Assets ratio; and Short-term Debt-to-Total Liabilities ratio. The Artificial Neural Network (ANN) model, when combined with the LASSO method for selecting appropriate predictive variables, enhances the performance of forecasting models compared to not performing variable selection for financial risk assessment. Based on these findings, the research team proposed several solutions and policies for businesses.

Finn Klessascheck, Ingo Weber, Luise Pufahl

Given the continuous global degradation of the Earth's ecosystem due to unsustainable human activity, it is increasingly important for enterprises to evaluate the effects they have on the environment. Consequently, assessing the impact of business processes on sustainability is becoming an important consideration in the discipline of Business Process Management (BPM). However, existing practical approaches that aim at a sustainability-oriented analysis of business processes provide only a limited perspective on the environmental impact caused. Further, they provide no clear and practically applicable mechanism for sustainability-driven process analysis and re-design. Following a design science methodology, we here propose and study SOPA, a framework for sustainability-oriented process analysis and re-design. SOPA extends the BPM life cycle by use of Life Cycle Assessment (LCA) for sustainability analysis in combination with Activity-based Costing (ABC). We evaluate SOPA and its usefulness with a case study, by means of an implementation to support the approach, thereby also illustrating the practical applicability of this work.

Marek Mosakowski

This article discusses the ways in which performances were disciplined in revolutionary France between 1789 and 1794. It presents the socio-political contexts of two legal acts regulating the production and staging of plays: the relatively liberal Le Chapelier Law of 13 January 1791 and the repressive Decree of the National Convention of 2 August 1793, which turned French theater and opera into a propaganda platform of the Jacobin regime, imposing ideology and topics on the artists. The artistic practice of the time is illustrated by two operas: Étienne Nicolas Méhul’s Hadrian, Emperor of Rome and François-Joseph Gossec’s The Triumph of the Republic. The former was suspended one day before the premiere, scheduled for 13 March 1792, as the Paris Commune deemed it overtly monarchical and politically incorrect in a France where the foundations of the Bourbon monarchy were already shaking, and the extremely polarised public sentiment was about to pave the way towards a republic. The latter was composed shortly after the fall of the monarchy and staged in early 1793. The Triumph of the Republic set new aesthetic standards for French republican and patriotic opera. Gossec’s work is discussed as an example of the principles of the new cultural politics of the Jacobin dictatorship, based on unprecedented repression and censorship.

Mojtaba Eshghie, Wolfgang Ahrendt, Cyrille Artho et al.

Logical flaws in smart contracts are often exploited, leading to significant financial losses. Our tool, HighGuard, detects transactions that violate business logic specifications of smart contracts. HighGuard employs dynamic condition response (DCR) graph models as formal specifications to verify contract execution against these models. It is capable of operating in a cross-chain environment for detecting business logic flaws across different blockchain platforms. We demonstrate HighGuard's effectiveness in identifying deviations from specified behaviors in smart contracts without requiring code instrumentation or incurring additional gas costs. By using precise specifications in the monitor, HighGuard achieves detection without false positives. Our evaluation, involving 54 exploits, confirms HighGuard's effectiveness in detecting business logic vulnerabilities. Our open-source implementation of HighGuard and a screencast of its usage are available at: https://github.com/mojtaba-eshghie/HighGuard https://www.youtube.com/watch?v=sZYVV-slDaY

Carlos Carrillo-Tudela, Ludo Visschers

This paper studies the extent to which the cyclicality of occupational mobility shapes that of aggregate unemployment and its duration distribution. We document the relation between workers' occupational mobility and unemployment duration over the long run and business cycle. To interpret this evidence, we develop a multi-sector business cycle model with heterogenous agents. The model is quantitatively consistent with several important features of the US labor market: procyclical gross and countercyclical net occupational mobility, the large volatility of unemployment and the cyclical properties of the unemployment duration distribution, among many others. Our analysis shows that occupational mobility due to workers; changing career prospects, and not occupation-wide differences, interacts with aggregate conditions to drive the fluctuations of the unemployment duration distribution and the aggregate unemployment rate.

Son The Nguyen, Theja Tulabandhula

Generative models (foundation models) such as LLMs (large language models) are having a large impact on multiple fields. In this work, we propose the use of such models for business decision making. In particular, we combine unstructured textual data sources (e.g., news data) with multiple foundation models (namely, GPT4, transformer-based Named Entity Recognition (NER) models and Entailment-based Zero-shot Classifiers (ZSC)) to derive IT (information technology) artifacts in the form of a (sequence of) signed business networks. We posit that such artifacts can inform business stakeholders about the state of the market and their own positioning as well as provide quantitative insights into improving their future outlook.

Nick Bryan-Kinns, Courtney N. Reed

Evaluation is essential to understanding the value that digital creativity brings to people's experience, for example in terms of their enjoyment, creativity, and engagement. There is a substantial body of research on how to design and evaluate interactive arts and digital creativity applications. There is also extensive Human-Computer Interaction (HCI) literature on how to evaluate user interfaces and user experiences. However, it can be difficult for artists, practitioners, and researchers to navigate such a broad and disparate collection of materials when considering how to evaluate technology they create that is at the intersection of art and interaction. This chapter provides a guide to designing robust user studies of creative applications at the intersection of art, technology and interaction, which we refer to as Media and Arts Technology (MAT). We break MAT studies down into two main kinds: proof-of-concept and comparative studies. As MAT studies are exploratory in nature, their evaluation requires the collection and analysis of both qualitative data such as free text questionnaire responses, interviews, and observations, and also quantitative data such as questionnaires, number of interactions, and length of time spent interacting. This chapter draws on over 15 years of experience of designing and evaluating novel interactive systems to provide a concrete template on how to structure a study to evaluate MATs that is both rigorous and repeatable, and how to report study results that are publishable and accessible to a wide readership in art and science communities alike.

I. Hevko, Olena Spolska, Xie Xiaonan et al.

The purpose of the work is to highlight experimental methodical approaches to the representation of certain aspects of modern Ukrainian vocal art on the example of the organization of research, educational and performing activities of master's students of the Faculty of Arts of V. Hnatyuk TNPU. The research methodology consists in the use of methods of historical and cultural discourse, historical and musicological positions on the problems of vocal art, in the implementation of activity and integrative approaches based on the example of art pedagogy. Attention is focused on the problem of representation of the main problems of the development of modern Ukrainian vocal art on the example of the organization of research, educational and performing activities of future music teachers. Taking into account the tasks of their professional training, the specifics and prospects of their future pedagogical and performing activities, we have already made attempts to extrapolate the history of performing schools to the content of the "Methodology of Music Education" course and the subjects of the school cycle, in particular, the reading of the "Artistic Culture of Ukraine" course during 2019–2020. The scientific novelty consists in the presentation of an integrative approach to the organization of the research, educational and performance activities of master's students on the example of the interaction of teachers of specialized lecture-theoretical ("History of Ukrainian Music", "Contemporary Music"), research courses ("Fundamentals of Music and Pedagogical Research", "Methodology of Scientific research", "Fundamentals of musical interpretation") and practical disciplines ("Vocal") during 2020–2021. A number of examples of research work of master's students are presented (essays, "musical quizzes", questionnaires, etc., related to the problems of modern musical art). A block of master's research materials related to musical Ternopil, with the organization of the competition and festival movement, is separately allocated. Excerpts from essays of master's students on the topic "Show business: pros and cons" are given. As examples of the cooperation of academic supervisors with vocal teachers, the content of master's studies was clarified, respectively - programs of master's students' concerts. For example, creative projects "Song about a song", "Moment". Conclusions. We believe that the best examples of modern pop songs are an important contribution to the vocal art of Ukraine. Their role especially increases in periods of social challenges, war tragedies as a reaction-protest of artists and society in general. At the same time, it is an interesting research material, a high-value performing and educational repertoire, which should be qualitatively presented in performance classes of art institutions. So, the layer of popular musical culture and performance, represented by the activities of famous soloists and bands from different regions of Ukraine, participants of the competition-festival movement in Ukraine and abroad, was and remains the subject of thorough comparative research.

Daniela Aquino Camargo, Marta Isaacsson Souza e Silva

O presente estudo aborda as especificidades e os desafios vivenciados pelo performer no contexto da atuação em criação cênica interativa sob o modelo de scape game. A pesquisa está alicerçada na vivência como atriz da primeira autora do artigo na obra Casa do Medo, uma realização da Macarenando Dance Concept, de Porto Alegre. A reflexão aqui apresentada privilegia a análise da vulnerabilidade experimentada pelos performers na atuação interativa com o espectador, na vivência do entre da representação do personagem e no controle do desenvolvimento da trama diante da reação imprevisível dos parceiros cênicos.

Saulius Jokubaitis, Dmitrij Celov

This paper elaborates on the sectoral-regional view of the business cycle synchronization in the EU -- a necessary condition for the optimal currency area. We argue that complete and tidy clustering of the data improves the decision maker's understanding of the business cycle and, by extension, the quality of economic decisions. We define the business cycles by applying a wavelet approach to drift-adjusted gross value added data spanning over 2000Q1 to 2021Q2. For the application of the synchronization analysis, we propose the novel soft-clustering approach, which adjusts hierarchical clustering in several aspects. First, the method relies on synchronicity dissimilarity measures, noting that, for time series data, the feature space is the set of all points in time. Then, the ``soft'' part of the approach strengthens the synchronization signal by using silhouette measures. Finally, we add a probabilistic sparsity algorithm to drop out the most asynchronous ``noisy'' data improving the silhouette scores of the most and less synchronous groups. The method, hence, splits the sectoral-regional data into three groups: the synchronous group that shapes the EU business cycle; the less synchronous group that may hint at cycle forecasting relevant information; the asynchronous group that may help investors to diversify through-the-cycle risks of the investment portfolios. The results support the core-periphery hypothesis.