This study examines how WhatsApp has evolved from a personal communication tool to a professional platform, focusing on its use by small business owners in India. Initially embraced in smaller, rural communities for its ease of use and familiarity, WhatsApp played a crucial role in local economies. However, as Meta introduced WhatsApp Business with new, formalized features, users encountered challenges in adapting to the more complex and costly platform. Interviews with 14 small business owners revealed that while they adapted creatively, they felt marginalized by the advanced tools. This research contributes to HCI literature by exploring the transition from personal to professional use and introduces the concept of Coercive Professionalization. It highlights how standardization by large tech companies affects marginalized users, exacerbating power imbalances and reinforcing digital colonialism, concluding with design implications for supporting community-based appropriations.
Одним із основних чинників економічного зростання будь-якої країни є запровадження інноваційної моделі розвитку економіки. Оскільки машинобудівні підприємства є ключовими в розвитку економіки багатьох країн, дуже важливою є реалізація інноваційних методів оптимізації процесів саме на підприємствах цієї галузі. Тому метою дослідження є аналіз інноваційних методів та підходів до реалізації оптимізаційних процесів в діяльності підприємств машинобудівної промисловості, а саме концепції ощадливого виробництва, задля подальшого їх практичного застосування. На основі вивчення низки праць зарубіжних і вітчизняних вчених теоретично обґрунтовано, що сутність цієї концепції полягає у забезпеченні мінімальних трудових втрат, скороченні термінів виготовлення нової продукції чи надання послуг, гарантування своєчасної поставки продукції або виконання замовлень для клієнтів, а також досягнення високої якості при мінімальних витратах. Розглянуто зміст і структуру концепції ощадливого виробництва та суміжних категорій – ощадливі інновації, ощадливе мислення. Виділено основні складники ощадливого виробництва та види втрат, на оптимізацію яких має бути спрямована реалізація цієї концепції. Практичне значення дослідження ґрунтується на можливості імплементації теоретичної інформації на виробничих підприємствах, зокрема машинобудівної галузі. Враховуючи сучасні реалії функціонування підприємств в умовах воєнного стану саме інноваційні методи оптимізації виробництва повинні стати рушійною силою в підтримці ефективності роботи машинобудівної галузі. Перспективними напрямами подальших досліджень у цій сфері є вплив запровадження інноваційних методів управління машинобудівним підприємством на розвиток виробничих зв’язків, рівень його прибутковості.
Economics as a science, Business records management
Humam Kourani, Alessandro Berti, Daniel Schuster
et al.
Large Language Models (LLMs) are rapidly transforming various fields, and their potential in Business Process Management (BPM) is substantial. This paper assesses the capabilities of LLMs on business process modeling using a framework for automating this task, a comprehensive benchmark, and an analysis of LLM self-improvement strategies. We present a comprehensive evaluation of 16 state-of-the-art LLMs from major AI vendors using a custom-designed benchmark of 20 diverse business processes. Our analysis highlights significant performance variations across LLMs and reveals a positive correlation between efficient error handling and the quality of generated models. It also shows consistent performance trends within similar LLM groups. Furthermore, we investigate LLM self-improvement techniques, encompassing self-evaluation, input optimization, and output optimization. Our findings indicate that output optimization, in particular, offers promising potential for enhancing quality, especially in models with initially lower performance. Our contributions provide insights for leveraging LLMs in BPM, paving the way for more advanced and automated process modeling techniques.
Large language models (LLMs) have achieved remarkable performance in language understanding and generation tasks by leveraging vast amounts of online texts. Unlike conventional models, LLMs can adapt to new domains through prompt engineering without the need for retraining, making them suitable for various business functions, such as strategic planning, project implementation, and data-driven decision-making. However, their limitations in terms of bias, contextual understanding, and sensitivity to prompts raise concerns about their readiness for real-world applications. This paper thoroughly examines the usefulness and readiness of LLMs for business processes. The limitations and capacities of LLMs are evaluated through experiments conducted on four accessible LLMs using real-world data. The findings have significant implications for organizations seeking to leverage generative AI and provide valuable insights into future research directions. To the best of our knowledge, this represents the first quantified study of LLMs applied to core business operations and challenges.
Decentralized autonomous organizations (DAOs) are emerging innovative organizational structures, enabling collective coordination, and reshaping digital collaboration. Despite the promising and transformative characteristics of DAOs, the potential technological advancements and the understanding of the business value that organizations derive from implementing DAO characteristics are limited. This research applies a systematic review of DAOs' business applicability from an open systems perspective following a best-fit framework methodology. Within our approach, combining both framework and thematic analysis, we discuss how the open business principles apply to DAOs and present a new DAO business framework comprising of four core business elements: i) token, ii) transactions, iii) value system and iv) strategy with their corresponding sub-characteristics. This paper offers a preliminary DAO business framework that enhances the understanding of DAOs' transformative potential and guides organizations in innovating more inclusive business models (BMs), while also providing a theoretical foundation for researchers to build upon.
Henrik Kirchmann, Stephan A. Fahrenkrog-Petersen, Felix Mannhardt
et al.
Process models may be automatically generated from event logs that contain as-is data of a business process. While such models generalize over the control-flow of specific, recorded process executions, they are often also annotated with behavioural statistics, such as execution frequencies.Based thereon, once a model is published, certain insights about the original process executions may be reconstructed, so that an external party may extract confidential information about the business process. This work is the first to empirically investigate such reconstruction attempts based on process models. To this end, we propose different play-out strategies that reconstruct the control-flow from process trees, potentially exploiting frequency annotations. To assess the potential success of such reconstruction attacks on process models, and hence the risks imposed by publishing them, we compare the reconstructed process executions with those of the original log for several real-world datasets.
In the emerging healthcare landscape, digital technologies like electronic health records (EHRs) could play a vital role in healthcare management. While developed nations like Australia have taken the lead in implementing EHRs, developing nations like India, have lagged. Prior research in developing and developed countries has mainly focused on government policy, interoperability, standardization, security, technological infrastructure, and finance as EHR adoption factors, but the influence of national culture has remained unexplored. This study addresses this gap in the literature by comparing the influence of national culture on EHR adoption in India (a developing nation) and Australia (a developed nation). In this study, Hofstede's cultural dimensions were utilized to determine the influence of national culture. The assessment of India revealed that the adoption of EHRs could be influenced by the use of EHRs by respectable healthcare providers, the commitment and support of top management, and the education and training of healthcare managers to minimize risks connected with the use of EHRs. On the other hand, the adoption of EHRs in Australia may be influenced by professional involvement and discussion of the benefits of EHRs, business profitability, timely financial outcomes, and education and training of healthcare managers to understand the benefits of EHRs adoption.
Ana Isabel Arévalo, Edwin Ulises López Galeano, María Alicia González Casco
La Universidad Nacional Francisco Luis Espinoza Pineda pone especial énfasis en la aplicación de los principios de la gestión de la calidad para responder al cumplimiento de su filosofía institucional. En este sentido, asume el compromiso de encauzar un nuevo rumbo en la planificación estratégica para transitar de un enfoque de gestión por resultados a uno de gestión por procesos, a fin de cumplir los objetivos estratégicos y lograr la satisfacción de los estudiantes. Objetivo: describir los pasos desarrollados en esta transición. Método: se utilizó la técnica de análisis documental de las memorias de los talleres desarrollados para la planificación como principal recurso metodológico. Resultados: se evidencia el cambio realizado en la planificación estratégica, que anteriormente estaba concebida en base a las cuatro funciones sustantivas, y ahora quedan elaboradas en dos procesos estratégicos, tres procesos clave y seis de apoyo, reflejados en el mapa de procesos. A su vez, se proyecta el Plan de Desarrollo Institucional, el Plan Estratégico Institucional y el Plan Operativo Anual. Conclusión: se logra la integración de todos los protagonistas de la universidad y la gestión de cambio a través del liderazgo y la cultura de mejora continua para alcanzar resultados óptimos de calidad.
Joni Dwi Pribadi, Farika Nikmah, Erlangga Andi Sukma
et al.
Entrepreneurship is identical with the risk of uncertain environment or market. This risk makes many university graduates hesitant about pursuing a career as an entrepreneur. So that universities play an important role in producing graduates who are ready for entrepreneurship, to support them in terms of education, in addition to several other supporting factors such as family, friends, and especially themselves. This research objective is to analyze the effect of educational support, relational support, personal attitudes, and uncertainty on entrepreneurial intents. State university students in East Java, Indonesia, became the population in this study. This area was chosen because it is the biggest contributor to successful entrepreneurs in Indonesia. This study used a sample of 113 students. Although limited in number, they were evenly sourced from large and well-known universities, and a good entrepreneurial atmosphere was provided for the students. Statistical tests with AMOS were used to test this relationship. Normality assumption test, validity and reliability test, as well as hypothesis testing, are directed to look for the importance of the connection. Relational support has the strongest influence, followed by personal attitude, uncertainty, and the lowest is educational support. These results indicate that internal forces exert a stronger effect than external stimuli. This study found that academy graduates choose careers as entrepreneurs through various considerations. The strongest consideration is relational support. Those with an entrepreneurial family background have a stronger intention to be entrepreneurs.
The aim of this study, investigating the role of institutional ownership on the effect of the CEO's overconfidence on the risks of companies listed on the Tehran Stock Exchange. The statistical sample includes 82 companies during the period of 2012 to 2021. Hypotheses testing was performed using linear regression and using Eviews software. The research results showed that the CEO's overconfidence has a significant and direct effect on the company's future risk, but the CEO's overconfidence does not have a significant effect on the company's operational risk. Also, other research results show that institutional ownership reduces the effect of CEO's overconfidence on the company's future risk, while institutional models do not moderate the effect of CEO's overconfidence on the company's operational risk
Business records management, Economics as a science
Описове дослідження є потужним інструментом, який використовують вчені та дослідники для збору інформації про певну групу чи явище. Цей тип дослідження дає детальну та точну картину характеристик і поведінки певної групи населення чи суб’єкта. Спостерігаючи та збираючи дані на певну тему, описове дослідження допомагає дослідникам отримати глибше розуміння конкретної проблеми та дає цінну інформацію для майбутніх досліджень. При проведенні описового дослідження виконавець зацікавлений виключно в описі ситуації чи випадку, який досліджується. Цей метод заснований на теорії, створений шляхом збору, аналізу та представлення зібраних даних. Це дозволяє досліднику краще зрозуміти необхідність подальших досліджень обраної проблематики. Проводячи дослідження, вчені зазвичай намагаються знайти пояснення існування певного явища. Вони хочуть зрозуміти, «чому» це явище сталося. Однак, перш ніж визначити причину того чи іншого явища, необхідно спершу відповісти на питання «що», «коли», «як» «де, і в цьому допомагають описові дослідження. Проведення описового дослідження передбачає використання ряду якісних і кількісних методів дослідження для збору даних, які допоможуть точно описати проблему дослідження. Маркетологи, використовують цей метод для отримання загального огляду. Результати описового дослідження жодним чином не можуть бути використані як остаточна відповідь або для спростування гіпотези, але вони можуть бути корисним інструментом у різних сферах наукових досліджень. Описове дослідження часто використовується як попередник для кількісних досліджень, загальний огляд дає деякі цінні вказівки щодо того, які змінні варто перевірити кількісно. В статті дано визначення, характеристики та поширені недоліки описового дослідження, а також розроблено поради для уникнення їх з метою отримання високоякісних результатів. Розуміння основ описового дослідження має важливе значення для проведення успішних наукових досліджень.
Economics as a science, Business records management
The relevance of the university degree programmes is reflected in the employability of the graduates in the labour market. Hence monitoring the graduates’ career path becomes an important indicator for the improvement of the education programmes and their constant harmonization with the labour market in terms of relevant current and future skills. The article aims to analyse the dynamics of the graduates’ monitoring tools at a European level, with a focus on the progress at a national level. The analysis stems from the Recommendation of the EU Council on tracking graduates, issued in 2017, and builds on the results of 2020-2022 studies in twenty-nine European countries.
Economics as a science, Business records management
Aaron Friedrich Kurz, Timotheus Kampik, Luise Pufahl
et al.
In order to better facilitate the need for continuous business process improvement, the application of DevOps principles has been proposed. In particular, the AB-BPM methodology applies AB testing and reinforcement learning to increase the speed and quality of improvement efforts. In this paper, we provide an industry perspective on this approach, assessing requirements, risks, opportunities, and more aspects of the AB-BPM methodology and supporting tools. Our qualitative analysis combines grounded theory with a Delphi study, including semi-structured interviews and multiple follow-up surveys with a panel of ten business process management experts. The main findings indicate a need for human control during reinforcement learning-driven experiments, the importance of aligning the methodology culturally and organizationally with the respective setting, and the necessity of an integrated process execution platform.
Zhengyong Jiang, Jeyan Thiayagalingam, Jionglong Su
et al.
In this paper, we present a novel trading strategy that integrates reinforcement learning methods with clustering techniques for portfolio management in multi-period trading. Specifically, we leverage the clustering method to categorize stocks into various clusters based on their financial indices. Subsequently, we utilize the algorithm Asynchronous Advantage Actor-Critic to determine the trading actions for stocks within each cluster. Finally, we employ the algorithm DDPG to generate the portfolio weight vector, which decides the amount of stocks to buy, sell, or hold according to the trading actions of different clusters. To the best of our knowledge, our approach is the first to combine clustering methods and reinforcement learning methods for portfolio management in the context of multi-period trading. Our proposed strategy is evaluated using a series of back-tests on four datasets, comprising a of 800 stocks, obtained from the Shanghai Stock Exchange and National Association of Securities Deal Automated Quotations sources. Our results demonstrate that our approach outperforms conventional portfolio management techniques, such as the Robust Median Reversion strategy, Passive Aggressive Median Reversion Strategy, and several machine learning methods, across various metrics. In our back-test experiments, our proposed strategy yields an average return of 151% over 360 trading periods with 800 stocks, compared to the highest return of 124% achieved by other techniques over identical trading periods and stocks.
Abstract: The existence of information technology provides many benefits in many aspects of life, especially if we are able to maximize the use of such technology, one of which is the emergence of online financial management applications as a medium to manage or manage finance both personal and business finance. This online financial application makes it very easy to plan budgets and record expenses as well as to make financial statements. In this study, online financial applications include financial applications that help manage personal or individual finances, families as well as businesses such as online financial applications Bukukas, BukuWarung, Keuanganku and Money Lover. The research method used in this study is a semi descriptive quantitative method. Where the purpose in this research is to explain the utilization of online financial applications as a medium for managing and managing finance. Online financial applications such as BukuKas, BukuWarung, FInansialku and also Money Lover proved very useful in managing or managing personal finances or individuals, families and also UMKM well, namely in terms of managing income, expenses, investments, receivables and financial statements. In addition, it is more effective and efficient also in terms of financial management time by using the online financial application.
We examine the shareholder wealth effects of the adoption of the UK Modern Slavery Act 2015 (MSA). The MSA’s Transparency in Supply Chains clause introduced new reporting requirements mandating certain firms to provide an annual statement outlining how they identify and mitigate modern slavery in their business and supply chain. An event study of stock price reactions of UK firms covered by the MSA to eight events associated with its adoption provides no evidence of abnormal stock returns. We do, however, uncover significant cross-sectional differences in stock price reactions, with results suggesting that the MSA provides a competitive advantage to firms with a demonstrated track record of addressing slavery risk. We find no effects for preregulatory corporate social responsibility disclosure levels on stock price reactions. Our findings highlight the economic value of maintaining socially responsible sourcing practices and inform the current policy debate on the importance of greater transparency in corporate supply chains. This paper was accepted by Gad Allon, operations management.
Amna Rasool Jamali, Arabella Bhutto, Mahvish Khaskhely
et al.
There are many leadership styles, which have different impacts on employees' performance. In higher education, faculty performance depends on many factors including Leadership style & Organizational culture. This study aims to examine the effect of leadership styles on faculty performance (FP) and more specifically to examine the moderating effect of Organizational Culture in the association between leadership styles and faculty performance in higher education institutions (MUET, Jamshoro). This study used quantitative methodology to identify the leadership styles which exist in MUET, Jamshoro, and their impact on faculty performance with organizational culture as moderator. It used both the sampling techniques probability and non-probability, and the sample size was 384 and the data was analyzed in SmartPLS 3. For leadership style, Full Range Leadership Model was adopted and for organizational culture, Competing Value Framework (CVF) was used. This study found that Transformational (TF) leadership has a positive significant relation with faculty performance at MUET, Jamshoro. And Organizational Culture (OC) as moderator negatively moderates the relation between Laissez-faire (LF) leadership and faculty performance (FP). According to faculty, transformational leadership is best suited to promote their performance on account of giving them challenging work, autonomy, mutual trust, through supporting subordinates' creativity, improving their confidence, and maintaining collaborations. Laissez-faire leadership also exists in an academic institution and has a positive impact on faculty performance. However, Transactional leadership has a negative impact on faculty performance. The future study could be conducted in other universities, or a comparison of leadership styles can be made between public and private universities with different models of leadership style and with different organizational culture models.
Anggalia Wibasuri, Mieke Rahayu, Ni Wayan Cahaya Adi
et al.
Minat Individu Terhadap Penggunaan E-Wallet Shopeepay Later Berbasis Modified Technology Acceptance Model (TAM). Penelitian ini bertujuan untuk menguji faktor-faktor yang mempengaruhi minat untuk menggunakan e-wallet shopee paylater dengan menggunakan model Technology Acceptance Model (TAM) yang dikembangkan oleh Davis pada 1989. Faktor yang memengaruhi minat individu untuk menggunakan E-Wallet Shopee Paylater dalam penelitian ini adalah Perceived Ease of Use, Perceived Usefulness, Attitude, dan Intention to Use. Penelitian ini dilakukan di Bandar Lampung dengan menggunakan metode survei. Peneliti telah memperoleh respon sebanyak 120 orang pengguna yang menggunakan E-Wallet Shopee Paylater. Analisis dilakukan dengan Structural Equation Model (SEM) dengan menggunakan program Smart-PLS. Hasil analisis untuk model ini menunjukkan bahwa konstruk sikap berpengaruh terhadap minat individu untuk menggunakan E-Wallet Shopee Paylater. Hal ini berarti bahwa minat untuk menggunakan E-Wallet Shopee Paylater dipengaruhi oleh sikap, serta variabel sikap dipengaruhi oleh Perceived Ease of Use dan Perceived Usefulness. Implikasi dari penelitian ini relevan bagi pihak induk perusahaan Shopee (Seagroup) dan analisis E-Wallet Shopee Paylater agar memperhatikan kembali faktor-faktor yang memengaruhi minat individu untuk menggunakan E-Wallet Shopee Paylater.
Digital business transformation has become increasingly important for organizations. Since transforming business digitally is an ongoing process, it requires an integrated and disciplined approach. Data Operations (DataOps), emerging in practice, can provide organizations with such an approach to leverage data and analytics for digital business transformation. This paper proposes a framework that integrates digital business transformation, data analytics, and DataOps through the lens of information processing theory (IPT). The details of this framework explain how organizations can employ DataOps as an integrated and disciplined approach to understand their analytical information needs and develop the analytical information processing capability required for digital business transformation. DataOps-enabled digital business transformation, in turn, improves organizational performance by improving operational efficiency and creating new business models. This research extends current knowledge on digital transformation by bringing in DataOps and analytics through IPT and thereby provide organizations with a novel approach for their digital business transformations.