{"results":[{"id":"arxiv_2601.18833","title":"Agentic Business Process Management Systems","authors":[{"name":"Marlon Dumas"},{"name":"Fredrik Milani"},{"name":"David Chapela-Campa"}],"abstract":"Since the early 90s, the evolution of the Business Process Management (BPM) discipline has been punctuated by successive waves of automation technologies. Some of these technologies enable the automation of individual tasks, while others focus on orchestrating the execution of end-to-end processes. The rise of Generative and Agentic Artificial Intelligence (AI) is opening the way for another such wave. However, this wave is poised to be different because it shifts the focus from automation to autonomy and from design-driven management of business processes to data-driven management, leveraging process mining techniques. This position paper, based on a keynote talk at the 2025 Workshop on AI for BPM, outlines how process mining has laid the foundations on top of which agents can sense process states, reason about improvement opportunities, and act to maintain and optimize performance. The paper proposes an architectural vision for Agentic Business Process Management Systems (A-BPMS): a new class of platforms that integrate autonomy, reasoning, and learning into process management and execution. The paper contends that such systems must support a continuum of processes, spanning from human-driven to fully autonomous, thus redefining the boundaries of process automation and governance.","source":"arXiv","year":2026,"language":"en","subjects":["cs.AI","cs.SE"],"url":"https://arxiv.org/abs/2601.18833","pdf_url":"https://arxiv.org/pdf/2601.18833","is_open_access":true,"published_at":"2026-01-25T20:13:57Z","score":70},{"id":"arxiv_2401.09789","title":"A Semantic Approach for Big Data Exploration in Industry 4.0","authors":[{"name":"Idoia Berges"},{"name":"Víctor Julio Ramírez-Durán"},{"name":"Arantza Illarramendi"}],"abstract":"The growing trends in automation, Internet of Things, big data and cloud computing technologies have led to the fourth industrial revolution (Industry 4.0), where it is possible to visualize and identify patterns and insights, which results in a better understanding of the data and can improve the manufacturing process. However, many times, the task of data exploration results difficult for manufacturing experts because they might be interested in analyzing also data that does not appear in pre-designed visualizations and therefore they must be assisted by Information Technology experts. In this paper, we present a proposal materialized in a semantic-based visual query system developed for a real Industry 4.0 scenario that allows domain experts to explore and visualize data in a friendly way. The main novelty of the system is the combined use that it makes of captured data that are semantically annotated first, and a 2D customized digital representation of a machine that is also linked with semantic descriptions. Those descriptions are expressed using terms of an ontology, where, among others, the sensors that are used to capture indicators about the performance of a machine that belongs to a Industry 4.0 scenario have been modeled. Moreover, this semantic description allows to: formulate queries at a higher level of abstraction, provide customized graphical visualizations of the results based on the format and nature of the data, and download enriched data enabling further types of analysis.","source":"arXiv","year":2024,"language":"en","subjects":["cs.AI","cs.DB"],"doi":"10.1016/j.bdr.2021.100222","url":"https://arxiv.org/abs/2401.09789","pdf_url":"https://arxiv.org/pdf/2401.09789","is_open_access":true,"published_at":"2024-01-18T08:20:19Z","score":68},{"id":"arxiv_2401.12334","title":"Business Model Contributions to Bank Profit Performance: A Machine Learning Approach","authors":[{"name":"F. Bolivar"},{"name":"Miguel A. Duran"},{"name":"A. Lozano-Vivas"}],"abstract":"This paper analyzes the relation between bank profit performance and business models. Using a machine learning-based approach, we propose a methodological strategy in which balance sheet components' contributions to profitability are the identification instruments of business models. We apply this strategy to the European Union banking system from 1997 to 2021. Our main findings indicate that the standard retail-oriented business model is the profile that performs best in terms of profitability, whereas adopting a non-specialized business profile is a strategic decision that leads to poor profitability. Additionally, our findings suggest that the effect of high capital ratios on profitability depends on the business profile. The contributions of business models to profitability decreased during the Great Recession. Although the situation showed signs of improvement afterward, the European Union banking system's ability to yield returns is still problematic in the post-crisis period, even for the best-performing group.","source":"arXiv","year":2024,"language":"en","subjects":["econ.GN"],"doi":"10.1016/j.ribaf.2022.101870","url":"https://arxiv.org/abs/2401.12334","pdf_url":"https://arxiv.org/pdf/2401.12334","is_open_access":true,"published_at":"2024-01-22T19:54:16Z","score":68},{"id":"doaj_10.22034/ajcoop.2023.320690.1758","title":"Investigating the role of social capital in the success women's Production Cooperative in Dena County","authors":[{"name":"Shahintaj Karimi"},{"name":"Ayatollah Karami"},{"name":"Fatemeh Alipanahiyan"}],"abstract":"Social capital is one of the influential components in the performance and success of cooperatives, including rural cooperatives, which is considered by experts. The purpose of this study is to investigate the role of social capital in the success of the rural cooperative in Dana women. The method of this research is descriptive-analytic and a questionnaire technique is used to collect information. The statistical population is 600 members of the rural women's rural cooperative in Dena County, according to Bartlett's table, 100 were identified. The questionnaire was the most important tool for collecting data. The results of the questionnaire were analyzed using Spss software. To test the hypothesis, t-test, Pearson correlation coefficient was used. In order to investigate the role of social capital in the success of rural women's cooperatives in Dena, indicators such as social capital, social trust, and social participation were measured. Based on the results obtained from the indicators of social capital research, social trust index the impact on the success of the DENA Women's Co-operative.","source":"DOAJ","year":2023,"language":"","subjects":["Agriculture (General)","Cooperation. Cooperative societies"],"doi":"10.22034/ajcoop.2023.320690.1758","url":"https://ajcoop.mcls.gov.ir/article_166643_56b3263dc807c7ce1e2ab852b4bd092a.pdf","pdf_url":"https://ajcoop.mcls.gov.ir/article_166643_56b3263dc807c7ce1e2ab852b4bd092a.pdf","is_open_access":true,"published_at":"","score":67},{"id":"doaj_10.22034/ajcoop.2023.338310.1773","title":"Training Courses's Effectiveness of the Handmade-Carpet Cooperatives","authors":[{"name":"Reza Movahedi"},{"name":"Masoud Samian"},{"name":"Mohamad Mohamadi"}],"abstract":"Context and purpose. The aim of this study was to find factors affecting the training courses' effectiveness on handmade-carpet cooperatives in Zanjan Province of Iran, the research's type was an applied study in terms of aim and surveying study in terms of data collection.\nMethodology/approach. Data collection tool was a researcher made questionnaire. The study population included all members of Handmade-Carpet cooperative of Zanjan province. The number of all Handmade-Carpet cooperatives was 38 including 366 members. Of those members 181 people were selected as the samples through Morgans' sampling table. A proportionate selection method was used to select the fit samples from each cooperative. The validity of the questions was done by experts' views and recommendations. The reliability of the questions was tested through Alpha's test (alpha =0.874 to 0.909).\nFindings and conclusions. After gathering data, SPSS software was used to analyze and describe the data. In descriptive part, both frequency tables and central statistics such as mean, median and mode as well as discrepancy statistics such as standard deviation and coefficient of variation were used. In analytical part, correlation and regression analysis methods and Mann-Whitenny and Kruskal- Wallis tests were used. The correlation's results showed that there was a significant relationship between variables attendance into training courses, income's amount from the cooperatives, the level of content relevancy, the level of objectives relevancy, the level of educators' knowledge, the level of training methods relevancy and the the effectiveness of the training courses. In addition, the results of regression analysis by a stepwise method revealed that the variables the level of objectives relevancy, income's amount from the cooperatives, and the level of educators' knowledge were determined 81.6 percent of dependent variable (the training courses' effectiveness).\nOriginality. Iranian hand-woven carpets have a special place in the economy, now considering the essential role of cooperatives in strengthening Iranian hand-woven carpets, this research examines the important factors affecting the educational effectiveness of these cooperatives.","source":"DOAJ","year":2023,"language":"","subjects":["Agriculture (General)","Cooperation. Cooperative societies"],"doi":"10.22034/ajcoop.2023.338310.1773","url":"http://ajcoop.mcls.gov.ir/article_173463_0d384540746dcd8cfc5d189c7c37c9e2.pdf","pdf_url":"http://ajcoop.mcls.gov.ir/article_173463_0d384540746dcd8cfc5d189c7c37c9e2.pdf","is_open_access":true,"published_at":"","score":67},{"id":"arxiv_2211.01104","title":"A digital business ecosystem maturity model for personal service firms","authors":[{"name":"Ricardo Guerrero"},{"name":"Christoph Lattemann"},{"name":"Simon Michalke"},{"name":"Dominik Siemon"}],"abstract":"Personal services can be found in sectors such as education, retail, hospitality, and craftsmanship. As of today, personal service firms lack the know-how and experience on how to implement processes and practices to effectively build digital business ecosystems. This becomes an obstacle for these kinds of firms to overcome the challenges of todays digital age. Based on the guidelines of Design Science Research (DSR), we address this gap by proposing a maturity model, which offers specific guidance for this sector to be able to achieve the transition from analog to digital. The design of the model is grounded in a systematic literature review, semi-structured interviews, and a validation test involving company representatives from the field of personal services, business ecosystems, and digitalization. Results revealed a series of dimensions, capabilities, and maturity stages indicating an evolutionary path towards digital maturity for personal service firms. Thus, leading them to achieve a digital business ecosystem.","source":"arXiv","year":2022,"language":"en","subjects":["cs.CY"],"doi":"10.4337/9781839107191.00026","url":"https://arxiv.org/abs/2211.01104","pdf_url":"https://arxiv.org/pdf/2211.01104","is_open_access":true,"published_at":"2022-11-02T13:25:43Z","score":66},{"id":"crossref_10.1016/j.compind.2019.103128","title":"A factory operating system for extending existing factories to Industry 4.0","authors":[{"name":"Sander Lass"},{"name":"Norbert Gronau"}],"abstract":"","source":"CrossRef","year":2020,"language":"en","subjects":null,"doi":"10.1016/j.compind.2019.103128","url":"https://doi.org/10.1016/j.compind.2019.103128","is_open_access":true,"citations":48,"published_at":"","score":65.44},{"id":"doaj_10.22034/ijsom.2021.3.4","title":"A Meta Analysis of Sustainable Supply Chain Management from Different Aspects","authors":[{"name":"Vinay Kumar sharma"},{"name":"Anish Sachdeva"},{"name":"Lakhwinder Pal Singh"}],"abstract":"In recent times there is surge in the sustainable supply chain field. The focus of the present work is targeted towards viewing the major aspects of SSCM by focusing towards SSCM through the lens of meta-analysis by performing a structured literature review with the help of the already published articles available on SCOPUS database. A total of 369 articles have been identified from the database over a period of 15 years (2006-2020). The research articles chosen have been categorised and analysed in the viewpoint of journal wise, year wise, application wise, methodology, various barriers and drivers for SSCM. The study has enlightened on the key point of SSCM with the up-to-date developments, trends and the current scenarios. The research has shown that the multi criteria decision making techniques have been employed in abundance in the literature with a fair share of developing countries like India and China contributing into the field of study. This study is advantageous for both researchers and industry personnel for better understandings of SSCM.","source":"DOAJ","year":2021,"language":"","subjects":["Management. Industrial management","Large industry. Factory system. Big business"],"doi":"10.22034/ijsom.2021.3.4","url":"http://www.ijsom.com/article_2848_4c56c9511a7b438ab59537cca6d8def5.pdf","pdf_url":"http://www.ijsom.com/article_2848_4c56c9511a7b438ab59537cca6d8def5.pdf","is_open_access":true,"published_at":"","score":65},{"id":"doaj_10.22034/IJSOM.2021.1.3","title":"Influence of Information Flow on Logistics Management in the Industry 4.0 Era","authors":[{"name":"Ayodeji Adeitan"},{"name":"Clinton Aigbavboa"},{"name":"Olufemi Bamisaye"}],"abstract":"Industry 4.0 technologies have capacities to improve competitiveness in the logistics chain by taking advantage of information flow through the logistics processes. This paper aims to determine the influence of effective and new information flow on logistics management in Nigeria. The methodology used in this study includes; the quantitative methodology, a mean item score, exploratory factor analysis, normality test, and Man-Whitney test. Findings revealed negotiating better contracts, better product tracking, better quality logistics information flow, expanded network, and enhanced information transfer as the top five effect of information flow on logistics management in Nigeria. It is recommended that Nigerian companies engaging in logistics activities need to adopt industry 4.0 technologies to aid effective and new information flow in their logistics management processes. Finally, the growth of logistics firm and its ability to compete depend on effective information flow.","source":"DOAJ","year":2021,"language":"","subjects":["Management. Industrial management","Large industry. Factory system. Big business"],"doi":"10.22034/IJSOM.2021.1.3","url":"http://www.ijsom.com/article_2835_73fd0a8a9328ca4c8b94a1c89fc56515.pdf","pdf_url":"http://www.ijsom.com/article_2835_73fd0a8a9328ca4c8b94a1c89fc56515.pdf","is_open_access":true,"published_at":"","score":65},{"id":"doaj_10.22034/ijsom.2021.2.3","title":"A Framework for Evaluating the Supply Chain Performance of Apparel Manufacturing Organizations","authors":[{"name":"Naveed Khan"},{"name":"Alessio Ishizaka"},{"name":"Andrea Genovese"}],"abstract":"The abrogation of Multifiber Arrangement in the year 2005 pushed many developing nations into tough competition. Within the textile industry, despite having many advantages apparel manufacturing and exporting organizations (AMEOs) in developing nations are experiencing decline in their supply chain supply chain performance. Developing a comprehensive model to explore and classify factors, which affect the supply chain performance, is extremely significant. Owing to limited research in this area, an exploratory qualitative study involving a variety of organizations in apparel supply chain was carried out, in combination with a literature review, to determine the causes behind that decline. The outcome of preliminary exploratory study and literature review aided in the proposal of a conceptual framework. Employing that framework, a questionnaire survey was designed and piloted to support a quantitative study, which was conducted in the Karachi region in Pakistan. Collected data were analyzed by employing structural equation modeling. Results indicate that a number of factors have a strong influence on the supply chain performance of AMEOs. Apart from contributing to the literature, this study can also be of interest to managers and practitioners from the textile industry, as it clearly indicates areas on which AMEOs need to focus in order to improve their performance.","source":"DOAJ","year":2021,"language":"","subjects":["Management. Industrial management","Large industry. Factory system. Big business"],"doi":"10.22034/ijsom.2021.2.3","url":"http://www.ijsom.com/article_2840_8cf94d7e9715d8563492a30ed56cab1a.pdf","pdf_url":"http://www.ijsom.com/article_2840_8cf94d7e9715d8563492a30ed56cab1a.pdf","is_open_access":true,"published_at":"","score":65},{"id":"doaj_10.22034/IJSOM.2021.1.2","title":"A Two-stage Optimization Model for Tactical Planning in Fresh Fruit Supply Chains: A Case Study of Kullu, India","authors":[{"name":"Ashish Trivedi"},{"name":"Ajay Sohal"},{"name":"Sudhanshu Joshi"},{"name":"Manu Sharma"}],"abstract":"In this study, a two-stage mathematical model has been developed that facilitates tactical planning of supply of apples from the various location of farmers to the marketplaces and then to the cold storage facilities. The model enables efficient network planning by finding the most suitable and cost-effective dispatching method operating in multiple stages using a mixed fleet of jeeps and trucks. The model aims to optimize the cost and demand. The paper used a multi-stage model to examine the most effective and efficient route for the supply. Kullu, Himachal Pradesh has been taken as the case location, which is famous as key apple production location in India. The lack of infrastructure in the area poses challenges for the farmers to select a mix of both trucks and jeeps to make their goods available in the market. The present paper attempts to address these issues, facilitating an effective transportation planning of apple produce.","source":"DOAJ","year":2021,"language":"","subjects":["Management. Industrial management","Large industry. Factory system. Big business"],"doi":"10.22034/IJSOM.2021.1.2","url":"http://www.ijsom.com/article_2831_f78c53ff6863a49fb84487adc9990180.pdf","pdf_url":"http://www.ijsom.com/article_2831_f78c53ff6863a49fb84487adc9990180.pdf","is_open_access":true,"published_at":"","score":65},{"id":"arxiv_2106.15377","title":"Several Typical Paradigms of Industrial Big Data Application","authors":[{"name":"Hu Shaolin"},{"name":"Zhang Qinghua"},{"name":"Su Naiquan"},{"name":"Li Xiwu"}],"abstract":"Industrial big data is an important part of big data family, which has important application value for industrial production scheduling, risk perception, state identification, safety monitoring and quality control, etc. Due to the particularity of the industrial field, some concepts in the existing big data research field are unable to reflect accurately the characteristics of industrial big data, such as what is industrial big data, how to measure industrial big data, how to apply industrial big data, and so on. In order to overcome the limitation that the existing definition of big data is not suitable for industrial big data, this paper intuitively proposes the concept of big data cloud and the 3M (Multi-source, Multi-dimension, Multi-span in time) definition of cloud-based big data. Based on big data cloud and 3M definition, three typical paradigms of industrial big data applications are built, including the fusion calculation paradigm, the model correction paradigm and the information compensation paradigm. These results are helpful for grasping systematically the methods and approaches of industrial big data applications.","source":"arXiv","year":2021,"language":"en","subjects":["math.NA"],"doi":"10.5121/csit.2021.110906","url":"https://arxiv.org/abs/2106.15377","pdf_url":"https://arxiv.org/pdf/2106.15377","is_open_access":true,"published_at":"2021-06-29T13:06:35Z","score":65},{"id":"doaj_10.22034/IJSOM.2020.2.6","title":"Applying Milk-run Method to Optimize Cost of Transport: an Empirical Evidence","authors":[{"name":"Nguyen Minh"},{"name":"Duong Trung Kien"},{"name":"Pham Khac Hau"}],"abstract":"Logistics and supply chain play important roles to support enterprises’ operations that aims to satisfy customers’ demands. Moreover, the globalization of the world economy and the emergence of the fourth industrial revolution pushes manufacturers to optimize their operations, particularly transportation and supplying activities. The main objective is to maintain competitive advantages and guarantee the expected benefit. Milk-run, a well-known transportation approach had been adapted successfully in practice, is adopted in this study to simultaneously minimize transportation and inventory costs in a just-in-time production environment. The results of this study show that the milk-run approach helps to reduce transportation and inventory costs for the studied company. The milk-run approach, therefore, is proved to be suitable for companies that operates under just-in-time philosophy.","source":"DOAJ","year":2020,"language":"","subjects":["Management. Industrial management","Large industry. Factory system. Big business"],"doi":"10.22034/IJSOM.2020.2.6","url":"http://www.ijsom.com/article_2814_c6d05e2189a532fe6caa695b2e3e8b4a.pdf","pdf_url":"http://www.ijsom.com/article_2814_c6d05e2189a532fe6caa695b2e3e8b4a.pdf","is_open_access":true,"published_at":"","score":64},{"id":"doaj_10.22034/ajcoop.2020.125776","title":"Educational Needs Assessment of Managing Directors of\nRural Cooperatives in Mazandaran Province in the Field\nof Entrepreneurship Management","authors":[{"name":"Amir Ahmadpour"},{"name":"Najibeh Nour Mohammadi"},{"name":"Hadi Moumeni Helali"},{"name":"Jamileh Aliloo"}],"abstract":"The aim of this study was to identify the educational needs of managingdirectors of rural cooperatives in the field of entrepreneurship management bysurvey method. The statistical population of the study consisted of themanaging directors of rural cooperatives and training experts of cooperativeoffices in Mazandaran province. A total of 183 managing directors ofcooperatives and 54 experts of cooperative offices in Mazandaran provincewere surveyed by census method. The face and content validity of the researchtool was confirmed by experts and professors in the field of entrepreneurship.The reliability of the research instrument was confirmed using Cronbach's alphain the range (0.77 to 0.98). This research was conducted in two stages: first, theeducational needs of managing directors were determined from their own pointof view and then from the point of view of experts using a questionnaire basedon the Burich model. In the second stage, in order to determine the level ofagreement between the managing directors of cooperatives and expertsregarding their educational needs, the quadrant model was used. The resultsshowed that the dimensions of financial management and strategic managementwere identified as priority training needs of managing directors of ruralcooperatives in the field of entrepreneurial management and were prioritized intraining programs. It is necessary to provide theoretical and practical training inaccordance with the priorities in accordance with each need in order toultimately promote the entrepreneurial management characteristics of themanaging directors and provide the ground for the growth and development ofcooperatives in the market.","source":"DOAJ","year":2020,"language":"","subjects":["Agriculture (General)","Cooperation. Cooperative societies"],"doi":"10.22034/ajcoop.2020.125776","url":"https://ajcoop.mcls.gov.ir/article_125776_9366a09ad90b163ce8056d34676da344.pdf","pdf_url":"https://ajcoop.mcls.gov.ir/article_125776_9366a09ad90b163ce8056d34676da344.pdf","is_open_access":true,"published_at":"","score":64},{"id":"doaj_10.22034/ijsom.2020.1.3","title":"Modeling Portfolio Optimization based on Fundamental Analysis using an Expert System in the Real Estate Industry","authors":[{"name":"Mohamad Reza Amin Naseri"},{"name":"Farimah Mokhatab Rafiee"},{"name":"Shadi Khalil Moghadam"}],"abstract":"Models of decision making optimization in the stock market have been challenged and evaluated by researchers in recent years. Financial and economic knowledge alone will not allow to analyze and facilitate decision making and to determine the appropriate strategy, and one of the most important obstacles in this regard is the complexity of tools and methods of analysis and modeling.\u003cbr /\u003e The multiplicity of indicators and financial ratios on the one hand and the breadth of data on the other hand are the most important obstacles in the behavioral analysis of financial markets. Accordingly, the present study aims to model the decision-making process in financial markets.\u003cbr /\u003e In this research, a different approach is presented in conceptual modeling by combining methods and tools of artificial intelligence with financial issues. Based on this, the portfolio will be optimized by extracting appropriate financial ratios considering the effect of time, and then modeling them in a technical expert system assuming a neutral risk investor. \u003cbr /\u003e In addition to trying to conclude and analyze based on the realities of the stock market fundamental analysis, the system rules and the classification of companies are also distinguished from similar studies based on the dynamics of the stock market.\u003cbr /\u003e The proposed model has been implemented using the data of companies in the real estate industry during 2007-2018. The results indicate the proper performance of the proposed model and that it has the appropriate flexibility to decide and select a portfolio.","source":"DOAJ","year":2020,"language":"","subjects":["Management. Industrial management","Large industry. Factory system. Big business"],"doi":"10.22034/ijsom.2020.1.3","url":"http://www.ijsom.com/article_2804_ac9852d18572729ddc2b88d0bdcac760.pdf","pdf_url":"http://www.ijsom.com/article_2804_ac9852d18572729ddc2b88d0bdcac760.pdf","is_open_access":true,"published_at":"","score":64},{"id":"doaj_10.22034/IJSOM.2020.4.7","title":"A Single-Manufacturer Multi-Retailer Integrated Inventory Model with Price Dependent Demand and Stochastic Lead Time","authors":[{"name":"Bibhas c. Giri"},{"name":"Anamika Dash"},{"name":"Ashis Sarkar"}],"abstract":"This paper deals with a two-level supply chain composed of a single manufacturer and multiple retailers. Ordered quantities of the retailers are dispatched in some equal batches from the manufacturer. Customer demand linearly depends on the selling price of the item. Lead time is random and it follows a normal distribution. The proposed model is developed for both the centralized and the decentralized scenarios. In the decentralized scenario, a Stackelberg gaming approach is used to derive the optimal decisions. The developed models are illustrated by a numerical example. It is found that integration of the supply chain players gives an impressive increment in the profit of the whole supply chain. Sensitivity analysis is also performed to explore the impacts of key-model parameters on the expected average profit of the supply chain.","source":"DOAJ","year":2020,"language":"","subjects":["Management. Industrial management","Large industry. Factory system. Big business"],"doi":"10.22034/IJSOM.2020.4.7","url":"http://www.ijsom.com/article_2829_f570601e45579e6101aa0c15a1dc685a.pdf","pdf_url":"http://www.ijsom.com/article_2829_f570601e45579e6101aa0c15a1dc685a.pdf","is_open_access":true,"published_at":"","score":64},{"id":"arxiv_2003.08170","title":"Discovering Business Area Effects to Process Mining Analysis Using Clustering and Influence Analysis","authors":[{"name":"Teemu Lehto"},{"name":"Markku Hinkka"}],"abstract":"A common challenge for improving business processes in large organizations is that business people in charge of the operations are lacking a fact-based understanding of the execution details, process variants, and exceptions taking place in business operations. While existing process mining methodologies can discover these details based on event logs, it is challenging to communicate the process mining findings to business people. In this paper, we present a novel methodology for discovering business areas that have a significant effect on the process execution details. Our method uses clustering to group similar cases based on process flow characteristics and then influence analysis for detecting those business areas that correlate most with the discovered clusters. Our analysis serves as a bridge between BPM people and business, people facilitating the knowledge sharing between these groups. We also present an example analysis based on publicly available real-life purchase order process data.","source":"arXiv","year":2020,"language":"en","subjects":["cs.DB","cs.LG"],"doi":"10.1007/978-3-030-53337-3_18","url":"https://arxiv.org/abs/2003.08170","pdf_url":"https://arxiv.org/pdf/2003.08170","is_open_access":true,"published_at":"2020-03-18T11:58:01Z","score":64},{"id":"arxiv_2007.10900","title":"A framework to evaluate the viability of robotic process automation for business process activities","authors":[{"name":"Christian Wellmann"},{"name":"Matthias Stierle"},{"name":"Sebastian Dunzer"},{"name":"Martin Matzner"}],"abstract":"Robotic process automation (RPA) is a technology for centralized automation of business processes. RPA automates user interaction with graphical user interfaces, whereby it promises efficiency gains and a reduction of human negligence during process execution. To harness these benefits, organizations face the challenge of classifying process activities as viable automation candidates for RPA. Therefore, this work aims to support practitioners in evaluating RPA automation candidates. We design a framework that consists of thirteen criteria grouped into five perspectives which offer different evaluation aspects. These criteria leverage a profound understanding of the process step. We demonstrate and evaluate the framework by applying it to a real-life data set.","source":"arXiv","year":2020,"language":"en","subjects":["cs.SE"],"doi":"10.1007/978-3-030-58779-6_14","url":"https://arxiv.org/abs/2007.10900","pdf_url":"https://arxiv.org/pdf/2007.10900","is_open_access":true,"published_at":"2020-07-21T15:47:25Z","score":64},{"id":"arxiv_1902.03854","title":"Stratified communities in complex business networks","authors":[{"name":"Roy Cerqueti"},{"name":"Gian Paolo Clemente"},{"name":"Rosanna Grassi"}],"abstract":"This paper presents a new definition of the community structure of a network, which takes also into account how communities are stratified. In particular, we extend the standard concept of clustering coefficient and provide the local $l$-adjacency clustering coefficient of a node $i$. We define it as an opportunely weighted mean of the clustering coefficients of nodes which are at distance $l$ from $i$. The stratus of the community associated to node $i$ is identified by the distance $l$ from $i$, so that the standard clustering coefficient is a peculiar local $l$-adjacency clustering coefficient at stratus $l=0$. As the distance $l$ varies, the local $l$-adjacency clustering coefficient is then used to infer insights on the community structure of the entire network. Empirical experiments on special business networks are carried out. In particular, the analysis of air traffic networks validate the theoretical proposal and provide supporting arguments on its usefulness.","source":"arXiv","year":2019,"language":"en","subjects":["physics.soc-ph","cs.SI"],"doi":"10.1016/j.jbusres.2020.04.005","url":"https://arxiv.org/abs/1902.03854","pdf_url":"https://arxiv.org/pdf/1902.03854","is_open_access":true,"published_at":"2019-02-11T13:05:58Z","score":63},{"id":"arxiv_1906.10635","title":"Widening Perspectives: The Intellectual and Social Benefits of Astrobiology, Big History, and the Exploration of Space","authors":[{"name":"Ian Crawford"}],"abstract":"Astrobiology is the field of science devoted to searching for life elsewhere in the Universe. It is inherently interdisciplinary, integrating results from multiple fields of science, and in this respect has strong synergies with 'big history'. I argue that big history and astrobiology are both acting to widen human perspectives in intellectually and socially beneficial directions, especially by enhancing public awareness of cosmic and evolutionary worldviews. I will further argue that these perspectives have important implications for the social and political organisation of humanity, including the eventual political unification of our planet. Astrobiology and big history are also concerned with the future of humanity, and I will argue that this future will be culturally and intellectually enriched if it includes the exploration of the universe around us.","source":"arXiv","year":2019,"language":"en","subjects":["physics.pop-ph"],"doi":"10.22339/jbh.v3i3.3312","url":"https://arxiv.org/abs/1906.10635","pdf_url":"https://arxiv.org/pdf/1906.10635","is_open_access":true,"published_at":"2019-06-15T01:06:22Z","score":63}],"total":6490141,"page":1,"page_size":20,"sources":["CrossRef","DOAJ","arXiv"],"query":"Large industry. Factory system. Big business"}