Hasil untuk "Business"

Chen Yang, Ruping Xu, Ruizhe Li et al.

Extracting structured procedural knowledge from unstructured business documents is a critical yet unresolved bottleneck in process automation. While prior work has focused on extracting linear action flows from instructional texts, such as recipes, it has insufficiently addressed the complex logical structures, including conditional branching and parallel execution, that are pervasive in real-world regulatory and administrative documents. Furthermore, existing benchmarks are limited by simplistic schemas and shallow logical dependencies, restricting progress toward logic-aware large language models.To bridge this Logic Gap, we introduce BREX, a carefully curated benchmark comprising 409 real-world business documents and 2,855 expert-annotated rules. Unlike prior datasets centered on narrow service scenarios, BREX spans over 30 vertical domains, covering scientific, industrial, administrative, and financial regulations. We further propose ExIde, a structure-aware reasoning framework that investigates five distinct prompting strategies, ranging from implicit semantic alignment to executable grounding via pseudo-code generation. This enables explicit modeling of rule dependencies and provides an out-of-the-box framework for different business customers without finetuning their own large language models. We benchmark ExIde using 13 state-of-the-art large language models. Our extensive evaluation reveals that executable grounding serves as a superior inductive bias, significantly outperforming standard prompts in rule extraction. In addition, reasoning-optimized models demonstrate a distinct advantage in tracing long-range and non-linear rule dependencies compared to standard instruction-tuned models.

Hoang Vu, Nataliia Klievtsova, Henrik Leopold et al.

With the rise of generative AI, industry interest in software agents is growing. Given the stochastic nature of generative AI-based agents, their effective and safe deployment in organizations requires robust governance, which can be facilitated by agentic business process management. However, given the nascence of this new-generation agent notion, it is not clear what BPM practitioners consider to be an agent, and what benefits, risks and governance challenges they associate with agent deployments. To investigate how organizations can effectively govern AI agents, we conducted a qualitative study involving semi-structured interviews with 22 BPM practitioners from diverse industries. They anticipate that agents will enhance efficiency, improve data quality, ensure better compliance, and boost scalability through automation, while also cautioning against risks such as bias, over-reliance, cybersecurity threats, job displacement, and ambiguous decision-making. To address these challenges, the study presents six key recommendations for the responsible adoption of AI agents: define clear business goals, set legal and ethical guardrails, establish human-agent collaboration, customize agent behavior, manage risks, and ensure safe integration with fallback options. Additionally, the paper outlines actions to align traditional BPM with agentic AI, including balancing human and agent roles, redefining human involvement, adapting process structures, and introducing performance metrics. These insights provide a practical foundation for integrating AI agents into business processes while preserving oversight, flexibility, and trust.

Siddhartha Krothapalli, Kartikey Singh Bhandari, Tridib Kumar Das et al.

As customer feedback becomes increasingly central to strategic growth, the ability to derive actionable insights from unstructured reviews is essential. While traditional AI-driven systems excel at predicting user preferences, far less work has focused on transforming customer reviews into prescriptive, business-facing recommendations. This paper introduces ReviewSense, a novel prescriptive decision support framework that leverages advanced large language models (LLMs) to transform customer reviews into targeted, actionable business recommendations. By identifying key trends, recurring issues, and specific concerns within customer sentiments, ReviewSense extends beyond preference-based systems to provide businesses with deeper insights for sustaining growth and enhancing customer loyalty. The novelty of this work lies in integrating clustering, LLM adaptation, and expert-driven evaluation into a unified, business-facing pipeline. Preliminary manual evaluations indicate strong alignment between the model's recommendations and business objectives, highlighting its potential for driving data-informed decision-making. This framework offers a new perspective on AI-driven sentiment analysis, demonstrating its value in refining business strategies and maximizing the impact of customer feedback.

Muhabaiti Pareti, Junsong Guo, Nadire Abudurofu et al.

In recent years, meat substitutes have become a prominent global topic in academic research. As one of the world’s most populous countries, China may increasingly consider meat substitutes as a new dietary option to meet the growing consumer demand. The potential acceptance of meat substitutes by consumers is a critical foundation for the industry’s development, as it directly influences it’s success. Moreover, consumer trust in meat substitutes plays a pivotal role in shaping this potential acceptance. Consequently, this study aims to analyze the impact of consumer trust on potential acceptance. Additionally, it incorporates the mediating roles of perceived benefits and perceived risks, as well as the moderating effect of consumer knowledge. A questionnaire survey was administered to 2647 Chinese consumers and a moderated dual-mediation model, based on the Bootstrap method, was employed to investigate the effects of consumer trust on the potential acceptance of meat substitutes. The study subsequently validated the mediating roles of perceived benefits and perceived risks, along with the moderating role of consumer knowledge. The findings indicate that consumer trust positively influences the potential acceptance of meat substitutes. Furthermore, consumer trust enhances perceived benefits while simultaneously reducing perceived risks. It affects consumer acceptance both directly and indirectly, through the mediating variables of perceived benefits and perceived risks. Consumer knowledge moderates the relationships between consumer trust, perceived benefits, and perceived risks, but does not significantly moderate the relationship between consumer trust and consumer acceptance.

Anton Kurniawan, Yos Sunitiyoso

The waste problem is still becoming a big concern in Indonesia. Waste, especially plastic waste comes from single-use packaging of daily necessities such as personal care and home care. PT. Siklus Refil Indonesia or Siklus, a retail company, comes to offer a sustainable solution of buying daily necessities by refill method. Since April 2020, Siklus has operated in the Greater Jakarta area and already impacted 20,000 customers. However, Siklus must change its new business model due to regulation from the Food and Drug Supervisory Agency (BPOM) that warned the company not to sell personal care who come in direct contact with skin. The warning impacted the decreasing customers, sales, and profit of Siklus. This research has the purpose of determining the new business model of Siklus using the design thinking concept. By this concept, this research empathizes with customers, defines customer needs, and ideates a business model. This research continues to decide the new business model by creating a matrix of stepwise selection. Then this research does a prototype business model and tests the new business model. After doing the process, Return from Home is selected as the new business model for Siklus.

Vivekananda Pattanaik, Binaya Kumar Malika, Subhasis Panda et al.

Monitoring, detection, and measurement are vital in the energy system to facilitate better wide-ranging protection, control, and operation. In this regard, to offer a better operational and dynamic performance, Phasor Measurement Units (PMUs) are the prominent components and most desirable choices for transforming the conventional power system into a smart grid and micro-grid-based system. PMUs provide synchronized phasor measurements of electrical parameters such as current, voltage, and other information related to the system's status. However, one of the significant issues related to PMU placement is to place such that the system is fully observable and achieves better state estimation that has a crucial impact on planning, protection, control, and other factors related to the system's overall performance. This motivates the authors to extensively review the innovative approaches suggested by various authors and present their ideas, advantages, limitations, and untouched research gaps. Secondly, this review elaborates on these techniques’ concepts and mathematical details. Thirdly, various techniques are discussed categorically, starting from classical optimization techniques, heuristic and meta-heuristic-based approaches, hybrid techniques, and advanced methods. Also, the problem formulation for the PMUs placement is expressed, giving importance to the objective function, constraints, variables, and assessment index reflecting the optimality in placement. In addition, the future scope is presented to enlighten the researcher on critical discussions regarding the research gaps and fundamental changes to system topology and operation that must be focused on. In this review article, even though the methodologies are similar in approach, a micro-PMU (µPMU) placement is discussed as more important than the PMUs, looking at the present scenario and application in the distribution sector. This article also focuses on various PMU-related standards and real-time applications.

Hasnan Baber, Muneer Shaik, Himani Gupta

The objective of the study was to examine the effects of the COVID-19 pandemic on India’s economy. The analysis focused on several economic metrics, including stock market prices, the rupee’s value in relation to the US dollar, economic activity, the unemployment rate, and the rate of inflation. Contrary to popular belief, the results demonstrate that during the first wave (25 March 2020 to 16 September 2020), the increasing number of cases had a beneficial influence on economic activity and a negative impact on the unemployment rate. The second wave, which lasted from 15 March 2021 to 17 July 2021, was considerably stronger and demonstrated how confirmed instances had a significant detrimental impact on inflation rates and stock values. Contrary to expectations, the third wave (December 28, 2021, to January 30, 2022) was found to be less intense. Overall, the report shows how the pandemic affected India’s economy during each of the three waves and notes that there have been encouraging signs of recovery during the return to normalcy phase. The government, scholars, policymakers, and economists will find this study useful in understanding how the COVID-19 Pandemic affected the Indian economy and in coming up with ideas for future risk mitigation measures. First published online 26 August 2024

Olga Cherednichenko, Fahad Muhammad, Jérôme Darmont et al.

Collaborative Business Analysis (CBA) is a methodology that involves bringing together different stakeholders, including business users, analysts, and technical specialists, to collaboratively analyze data and gain insights into business operations. The primary objective of CBA is to encourage knowledge sharing and collaboration between the different groups involved in business analysis, as this can lead to a more comprehensive understanding of the data and better decision-making. CBA typically involves a range of activities, including data gathering and analysis, brainstorming, problem-solving, decision-making and knowledge sharing. These activities may take place through various channels, such as in-person meetings, virtual collaboration tools or online forums. This paper deals with virtual collaboration tools as an important part of Business Intelligence (BI) platform. Collaborative Business Intelligence (CBI) tools are becoming more user-friendly, accessible, and flexible, allowing users to customize their experience and adapt to their specific needs. The goal of a virtual assistant is to make data exploration more accessible to a wider range of users and to reduce the time and effort required for data analysis. It describes the unified business intelligence semantic model, coupled with a data warehouse and collaborative unit to employ data mining technology. Moreover, we propose a virtual assistant for CBI and a reference model of virtual tools for CBI, which consists of three components: conversational, data exploration and recommendation agents. We believe that the allocation of these three functional tasks allows you to structure the CBI issue and apply relevant and productive models for human-like dialogue, text-to-command transferring, and recommendations simultaneously. The complex approach based on these three points gives the basis for virtual tool for collaboration. CBI encourages people, processes, and technology to enable everyone sharing and leveraging collective expertise, knowledge and data to gain valuable insights for making better decisions. This allows to respond more quickly and effectively to changes in the market or internal operations and improve the progress.

Alla Rusnak, Iryna Nadtochii, Olena Pulianovych

The purpose of the article is to generalize and substantiate scientific and methodological approaches to a comprehensive assessment of the competitive potential of enterprises and territories. The methodology of the comprehensive study made it possible to determine the features of the competitive potential of an enterprise; to divide into levels the competitive potential as a system with a view to effective management of business entities; to determine the main functions of analyzing the competitive potential of business entities at different levels; to analyze and substantiate the existing approaches to assessing the competitive potential of an enterprise; to summarize the methods of assessing the competitive potential of an enterprise; to supplement the principles of assessing and forming the competitive potential of enterprises; to substantiate the main approaches, methods and indicators for assessing the competitive potential of territories; to develop an algorithm for measuring the competitive potential of a territory to use the knowledge gained in its management. Methodology. The main research method used was systematic analysis of scientific and methodological approaches to comprehensive assessment of competitive potential of business entities at various levels, as outlined by the relevance of the work. Monographic, structural and logical methods, methods of analysis and synthesis, comparison, etc. were also used. It is determined that competitive potential is a system of capabilities, competencies and resources, under the influence of which a set of internal competitive advantages is formed in dynamics, which include two components: adaptability and innovation, and which are constantly under the influence of external and internal factors and form the level of competitiveness of economic entities at different levels of management. It has been proved that in order to assess the competitive potential of an enterprise it is advisable to identify, systematize and analyze all the elements that are its components: production, management, human resources, marketing, financial, information and innovation potential. The analysis of the characteristics of these components allows their division into levels for a more efficient management of business entities. Existing approaches to assessment of competitive potential of the enterprise are analyzed. It is determined that the main functions of the analysis of the competitive potential are: objective assessment of the factors determining the increase of the competitive potential; identification of the factors and causes of the achieved status and results; preparation and justification of management decisions; identification and mobilization of reserves for improvement and increase of the competitive potential. The methods used to assess the competitive potential of a company are generalized. The study of scientific and methodological approaches to the comprehensive assessment of the competitive potential of an enterprise allowed to add the principles that contribute to its increase, such as: the orientation of all and each employee to the action, to the continuation of the started business; the proximity of the enterprise to the customer; the creation of a creative atmosphere in the enterprise; the increase of productivity by using the abilities of the employees and their desire to work; simplicity of the organization, the minimum number of management and administrative staff, etc. The results of the study show that the competitive potential of an enterprise is a comprehensive comparative characteristic that reflects the degree of predominance of a set of indicators for assessing the capabilities of an enterprise that determine its success in a particular market over a certain period of time in relation to the set of similar indicators of competing enterprises. The competitive potential of a territory is a set of competitive advantages and attractive features of a given territory, which contribute to the efficient use of available and attractive external resources and distinguish the territory from other competitors in terms of its capabilities for effective socio-economic development. Practical implications. In order to implement the model of measuring the competitive potential of an area, an algorithm has been developed that includes the following steps: determination of the criterion of the competitive potential of an area; substantiation of the model of factors of the competitive potential of an area; formation of a system of requirements for indicators of the attractiveness of an area by factors; selection of a group of indicators for each factor that meet the requirements and characteristics; creation of a mathematical apparatus for the calculation of indicators in the assessment of factors; calculation of indicators and obtaining generalized assessments by factors; aggregation of generalized assessments by competitiveness factors and integrated assessment of the competitive potential of the territory; typology of territories by the level of competitive potential; reflection of individual territories in the ratings of competitive potential assessments; use of the information obtained for strategic planning purposes. Adherence to this sequence and content of work on measuring the competitive potential of the territory will allow to effectively use the knowledge gained in its management. Relevance/originality. The application of the integral method of assessing the competitive potential of a company allows to provide an integrated approach to the assessment of the competitiveness of the company's potential and, in practice, to obtain an assessment of its competitive position on the basis of specific indicators. In addition, the application of this approach to the real conditions of a company's operation makes it possible to take into account both the competitiveness of products and the efficiency of the company's production and economic activities.

Jackson Ishara, Marcellin C. Cokola, Ariel Buzera et al.

Abstract Background Located in the Eastern Democratic Republic of Congo (South-Kivu), Kalehe and Idjwi are two relatively unexplored territories with little to no research on edible insects even though anthropo-entomophagy practice is widespread. This study therefore aimed at exploring the biodiversity, perception, consumption, availability, host plants, harvesting techniques, and processing techniques of edible insects. Methods Data were collected through a field survey using three techniques, namely structured interviews, direct observations, and insect collection and taxonomy. A total of 260 respondents, 130 in each territory, were interviewed. The field survey focused on inventorying commonly edible insects as well as recording consumer preferences, preference factors, seasonal availability, host plants, harvesting techniques, and processing and preservation methods. Samples for taxonomic characterization were preserved in 70% alcohol. Results Nine edible insects, namely Ruspolia differens Serville 1838, Gryllotalpa Africana Palisot de Beauvois 1805, Locusta migratoria Linnaeus 1758, Macrotermes subhyalinus Rambur 1842, Gnathocera trivittata Swederus 1787, Rhynchophorus phoenicis Fabricius 1801, Vespula spp. Linnaeus 1758, Apis mellifera Linnaeus 1758, and Imbrasia oyemensis Rougeot 1955, were recorded as being consumed either as larvae, pupae, and adults. Ruspolia differens and M. subhyalinus were reported as the most preferred by consumers in the studied territories. A scatter plot of matrices and Pearson's correlations showed a negative correlation between preference based on taste, size, and shape, as well as perceived nutritional value. Their seasonal availability differs from one species to another and correlated with host plants availability. Harvesting techniques and processing and preservation methods depend on species, local knowledge, and practices. Conclusion The huge edible insect diversity observed in Kalehe and Idjwi is evidence of anthropo-entomophagy practices in the area. In addition to being an important delicacy and traditional foods, edible insects can contribute to food, environmental, and financial security through local business opportunities. Households can rely on edible insects to meet their nutritional needs instead of conventional livestock. Indigenous practices and technologies used for harvesting, processing, and preserving edible insects must be improved to meet international standards to increase the market and capitalize on the economic potential of edible insects.

Sneha Gathani, Zhicheng Liu, Peter J. Haas et al.

What-if analysis (WIA) is essential for data-driven decision-making, allowing users to assess how changes in variables impact outcomes and explore alternative scenarios. Existing WIA research primarily supports the workflows of data scientists and analysts, and largely overlooks business professionals who engage in WIA through non-technical means. To bridge this gap, we conduct a two-part user study with 22 business professionals across marketing, sales, product, and operations roles. The first study examines their existing WIA practices, tools, and challenges. Findings reveal that business professionals perform many WIA techniques independently using rudimentary tools due to various constraints. We then implement representative WIA techniques in a visual analytics prototype and use it as a probe to conduct a follow-up study evaluating business professionals' practical use of the techniques. Results show that these techniques improve decision-making efficiency and confidence while underscoring the need for better data preparation, risk assessment, and domain knowledge integration support. Finally, we offer design recommendations to enhance future business analytics systems.

Connor McKee, Konstantinos Ntokos

Microlearning, in which lecture recordings are segmented into parts, saw renewed focus as a means of maintaining student engagement amid the challenging conditions of the COVID-19 pandemic. While many institutions shifted to remote provision with segmented lecture recordings, there is a lack of consensus about the length that these segments should be in order to best maintain engagement. Using a self-reported system of Likert-based diagnostics, 135 videos in use at Solent University’s computer games area were analysed. Ninety-four students were asked to agree or disagree with statements in the format ‘I understand X’, each tailored to the subject material of the video in question. Repeated questions before and after the video allowed for a change in confidence to be measured, as an indicator of engagement. The resulting 4198 responses showed an optimum range of 5–8 min overall. However, the year of study emerged as a significant factor in this regard – with an optimum range for first years at 6–12 min, and for second and third years at under 8 min. There is a need for institutional-level change in this area, as many institutions currently recommend use of lecture video segments far longer than either figure.

Khalid El-Awady

There is a massive underserved market for small business lending in the US with the Federal Reserve estimating over \$650B in unmet annual financing needs. Assessing the credit risk of a small business is key to making good decisions whether to lend and at what terms. Large corporations have a well-established credit assessment ecosystem, but small businesses suffer from limited publicly available data and few (if any) credit analysts who cover them closely. We explore the applicability of (DL-based) large corporate credit risk models to small business credit rating.

Kamran Hameed, Naveed Yazdani, Zamin Abbas et al.

The purpose of this study is two-folded: first, to explore the organizational commitment specifically focusing on where is employees’ commitment; towards the organization or towards their jobs? Secondly, their experiences are analyzed under the situation when their skills are not appreciated by their boss to whom they perceive as incompetent. There are six in-depth interviews were conducted of employees working in private organizations in Lahore Pakistan. Interpretative Phenomenological Analysis is used to analyze transcriptions, and data analysis is performed in Nvivo 11. The finding of this study has drawn the following themes: emotions/feelings, actions, and coping strategies that are linked with social exchange theory. The social exchange process propagates the individual's emotions are aligned with norms and values of the organization, and the nature of this association engages employees with an organization on moral grounds, and this association prolongs when in return organizations treat their employees fairly. Lastly, the themes are also connected with the survival perspective because most of the coping strategies are reflecting how employees are adapting their practices according to the stressful situation, and how they are building their capacity to transform themselves according to the situation.

Segev Wasserkrug, Eitan Farchi

Private blockchain is driving the creation of business networks, resulting in the creation of new value or new business models to the enterprises participating in the network. Such business networks form when enterprises come together to derive value through a network which is greater than the value that can be derived solely by any single company. This results in a setting that combines both competitive and cooperative behavior, and which we call strategic coopetition. Traditionally, cooperative and competitive behavior have been analyzed separately in game theory. In this article, we provide a formal model enabling to jointly analyze these different types of behaviors and the interdependencies between them. Using this model, we formally demonstrate and analyze the incentives for both cooperative and competitive behavior.

Daniel Shapiro

Small business classification is a difficult and important task within many applications, including customer segmentation. Training on small business names introduces gender and geographic origin biases. A model for predicting one of 66 business types based only upon the business name was developed in this work (top-1 f1-score = 60.2%). Two approaches to removing the bias from this model are explored: replacing given names with a placeholder token, and augmenting the training data with gender-swapped examples. The results for these approaches is reported, and the bias in the model was reduced by hiding given names from the model. However, bias reduction was accomplished at the expense of classification performance (top-1 f1-score = 56.6%). Augmentation of the training data with gender-swapping samples proved less effective at bias reduction than the name hiding approach on the evaluated dataset.

Mohsen Mohammadi Khyareh, Nasrin Rostami

Many scholars emphasize the importance of economic competitiveness in the improvement of economic growth. However, studies that quantitatively analyze the interconnection between different components of competitiveness in one economy and their impact on economic growth are very limited. Therefore, the purpose of this study is to fill the gap in the literature on economic growth and study the effect of competitiveness in different stages of economic development. In this regard, using the data of 81 countries of the World Economic Forum (WEF) in three groups of resource-, efficiency- and innovation-driven countries for years 2008-2017, the relationship between national competitiveness and economic growth is examined through the econometric model of generalized method of Moments (GMM). Our results indicate that the impact of institutions, infrastructure, higher education, business complexity and innovation on economic growth is positive and significant in all three groups of countries. In addition, the impact of labor market efficiency, financial market development and macroeconomic stability has been significant only in inefficiency - and innovation-driven, and the impact of primary education and health had been meaningful only in resource-driven countries. In addition, the effect of the goods market efficiency and market size on economic growth has been significant only in innovation-driven countries and technology-readiness was significant in all but innovation-driven countries. In summary, our estimation results indicate that the impact of competitiveness components on economic growth in different countries varies according to their stage of development.

Boykin, C. Malik, Smith, Christine

Nan Zhang, Xuejiao Zhao, Xiaopei He

Based on the dualism of information architecture and business model by Kuk and Janssen (2011), the study proposed a theoretical framework to understanding the relationship among IoT and smart community which regards a path of smart community development as a configurations set including both information architecture factors and business model patterns.