Hasil untuk "Business records management"

Aline Belloni, Patrick Prieur

Business process modeling is used by most organizations as an essential framework for ensuring efficiency and effectiveness of the work and workflow performed by its employees and for ensuring the alignment of such work with its strategic goals. For organizations that are compliant or near-compliant with ISO 9001, this approach involves the detailed mapping of processes, sub-processes, activities, and tasks. ISO30401 is a Management System Standard, introduced in 2018, establishing universal requirements for the set up of a Knowledge Management System in an organization. As ``ISO30401 implementers'' we regularly face the challenge of explaining our clients how the knowledge development, transformation and conveyances activities depicted in ISO30401 do integrate with existing operational processes. This article recaps process modelling principles in the context of ISO9001 and explores, based on our experience, how an ISO30401-compliant Knowledge Management System (KMS) entwines with all other processes of an Integrated Management System and in particular how it can be implemented by deploying the mechanisms of the SECI model through the steps of PDCA cycles.

Lawrence W. Abrams

It is time to move on from attempts to make the pharmacy benefit manager (PBM) reseller business model more transparent. Time and time again the Big 3 PBMs have developed opaque alternatives to piece-meal 100% pass-through mandates. Time and time again PBMs have demonstrated expertise in finding loopholes in state government disclosure laws. The purpose of this paper is to provide quantitative estimates of two transparent insurance business models as a solution to the PBM agency issue. The key parameter used is an 8% gross profit margin figure disclosed by the Big 3 PBMs themselves. Based on reported drug trend delivered to plans, we use a $1,200 to $1,500 per member per year (PMPY) as the range for this key performance indicator (KPI). We propose that discussions of PBM insurance business models start with the following figures: (1) a fixed premium model with medical loss ratio ranging from 92% to 85%; (2) a fee-for-service model ranging from $96 to $180 PMPY with risk sharing of deviations from a contracted PMPY delivered drug spend.

Chris Duckworth, Zlatko Zlatev, James Sciberras et al.

Purpose: Financial service companies manage huge volumes of data which requires timely error identification and resolution. The associated tasks to resolve these errors frequently put financial analyst workforces under significant pressure leading to resourcing challenges and increased business risk. To address this challenge, we introduce a formal task allocation model which considers both business orientated goals and analyst well-being. Methodology: We use a Genetic Algorithm (GA) to optimise our formal model to allocate and schedule tasks to analysts. The proposed solution is able to allocate tasks to analysts with appropriate skills and experience, while taking into account staff well-being objectives. Findings: We demonstrate our GA model outperforms baseline heuristics, current working practice, and is applicable to a range of single and multi-objective real-world scenarios. We discuss the potential for metaheuristics (such as GAs) to efficiently find sufficiently good allocations which can provide recommendations for financial service managers in-the-loop. Originality: A key gap in existing allocation and scheduling models, is fully considering worker well-being. This paper presents an allocation model which explicitly optimises for well-being while still improving on current working practice for efficiency.

Mostafa Abbasi, Rahnuma Islam Nishat, Corey Bond et al.

Purpose- The significance of business processes has fostered a close collaboration between academia and industry. Moreover, the business landscape has witnessed continuous transformation, closely intertwined with technological advancements. Our main goal is to offer researchers and process analysts insights into the latest developments concerning Artificial Intelligence (AI) and Machine Learning (ML) to optimize their processes in an organization and identify research gaps and future directions in the field. Design/methodology/approach- In this study, we perform a systematic review of academic literature to investigate the integration of AI/ML in business process management (BPM). We categorize the literature according to the BPM life-cycle and employ bibliometric and objective-oriented methodology, to analyze related papers. Findings- In business process management and process map, AI/ML has made significant improvements using operational data on process metrics. These developments involve two distinct stages: (1) process enhancement, which emphasizes analyzing process information and adding descriptions to process models, and (2) process improvement, which focuses on redesigning processes based on insights derived from analysis. Research limitations/implications- While this review paper serves to provide an overview of different approaches for addressing process-related challenges, it does not delve deeply into the intricacies of fine-grained technical details of each method. This work focuses on recent papers conducted between 2010 and 2024. Originality/value- This paper adopts a pioneering approach by conducting an extensive examination of the integration of AI/ML techniques across the entire process management lifecycle. Additionally, it presents groundbreaking research and introduces AI/ML-enabled integrated tools, further enhancing the insights for future research.

О. B. Осичка, С. Ю. Ясинська

У сучасних умовах політичної, економічної та соціальної нестабільності українські бізнеси стикаються з численними викликами, які впливають на їх операційну діяльність та стратегічний розвиток. Непередбачуваність державного регулювання, брак кваліфікованого персоналу й економічна невизначеність створюють складний клімат для підприємців. Це змушує їх шукати нові інноваційні підходи, щоб вижити. Дизайн-мислення, яке зарекомендувало себе як ефективний інструмент на міжнародній арені, може стати одним із ключових рішень. У статті досліджено впровадження дизайн-мислення в українському бізнесі як інструменту вирішення викликів в сучасних умовах нестабільності. Вплив дизайн-мислення на створення інноваційних рішень, оптимізацію бізнес-процесів і підвищення клієнтоорієнтованості підприємств виділено як ключовий аспект дослідження. Завдяки емпіричному аналізу продемонстровано ефективність п’ятиетапної моделі дизайн-мислення, яка включає емпатію, визначення проблем, ідеацію, прототипування і тестування. Використання цієї моделі сприяє адаптації бізнесу до мінливих умов ринку, підвищуючи гнучкість компаній у прийнятті рішень, скорочуючи витрати на розробку продуктів і послуг, а також зміцнюючи конкурентоспроможність через інтеграцію інноваційних підходів. У дослідженні систематизовано ключові виклики, з якими стикається український бізнес, зокрема логістичні труднощі, фінансові обмеження, кадровий дефіцит і низьку купівельну спроможність. Надано практичні рекомендації для подолання бар'єрів, такі як залучення клієнтів до співтворення, розробка бюджетних продуктів і використання локальних рішень для оптимізації бізнес-процесів. Розкрито, що впровадження дизайн-мислення сприяє стратегічному розвитку бізнесу через інтеграцію міжнародного досвіду в український контекст. Підкреслено значення дизайн-мислення для трансформації бізнесу в умовах динамічного ринку, окреслено його роль як ефективного інструменту для інноваційного розвитку та підвищення конкурентних переваг. Аргументовано важливість цього підходу для українських підприємств.

Steliana RODINO, Carmen Adriana GHEORGHE, Ancuta MARIN

Agriculture is an important sector for regional economies across Europe, especially in rural areas where it supports livelihoods and ensures food security. However, its sustainability is correlated to demographic dynamics. This article explores the relationship between demographic trends and the development of agrarian sector, emphasizing the critical importance of human resources for achieving sustainable economic development. The rural and urban-rural population structure is reflecting an imbalance accentuated by demographic trends such as population aging and rural-urban migration, phenomena that reduce the availability of young labour in the agricultural sector. The comparative analysis of European regions highlighted significant variations in the demographic structure. The article highlights the importance of adopting an integrated perspective, addressing both demographic challenges and the needs to modernize the agricultural sector, to ensure the resilience of regional economies in Europe.

Razvan MUSCA, Maria Madela ABRUDAN, Marian NĂSTASE

The COVID-19 pandemic led to an unprecedented and abrupt crisis that impacted family businesses worldwide and in Romania too. Using the 7S systemic organizational model and the theory of resilience this article focuses on the key concerns and actions taken to mitigate the negative effects of Covid 29 pandemic by the managers of Romanian family firms, some even transforming it in an opportunity for development. The study has identified that Romanian family firms had a rapid reactive approach to the crisis situation, using an informal approach, family based, to analyze the situation, identify the immediate solutions to the lockdown measures, swiftly implementing them by the owner manager of the firm, and begin thinking about innovative solutions for the longer term. Several conclusions and recommendations are provided. By learning from the experiences and strategies shared in this study, family businesses can better prepare for future crises

Felix Lanfermann, Qiqi Liu, Yaochu Jin et al.

Implementing resource efficient energy management systems in facilities and buildings becomes increasingly important in the transformation to a sustainable society. However, selecting a suitable configuration based on multiple, typically conflicting objectives, such as cost, robustness with respect to uncertainty of grid operation, or renewable energy utilization, is a difficult multi-criteria decision making problem. The recently developed concept identification technique can facilitate a decision maker by sorting configuration options into semantically meaningful groups (concepts). In this process, the partitioning of the objectives and design parameters into different sets (called description spaces) is a very important step. In this study we focus on utilizing the concept identification technique for finding relevant and viable energy management configurations from a very large data set of Pareto-optimal solutions. The data set consists of 20000 realistic Pareto-optimal building energy management configurations generated by a many-objective evolutionary optimization of a high quality Digital Twin energy management simulator. We analyze how the choice of description spaces, i.e., the partitioning of the objectives and parameters, impacts the type of information that can be extracted. We show that the decision maker can introduce constraints and biases into that process to meet expectations and preferences. The iterative approach presented in this work allows for the generation of valuable insights into trade-offs between specific objectives, and constitutes a powerful and flexible tool to support the decision making process when designing large and complex energy management systems.

О. В. Баженова, З. С. Варналій, О. В. Чеберяко

Стаття присвячена проблемі оцінювання соціальної безпеки людини в Україні. У статті сформовано систему індикаторів соціальної безпеки людини, яка охоплює п’ять груп показників, що характеризують рівень забезпечення життєдіяльності, рівень добробуту, рівень соціального забезпечення, рівень захисту і самозбереження та рівень освіти і саморозвитку. Зазначено, що наведена індикативна система соціальної безпеки людини в значній мірі визначає і рівень економічного розвитку. Проведено аналіз індикаторів соціальної безпеки людини в Україні, який охоплював розрахунок таких числових характеристик, як середнє, медіана, мінімум, максимум, стандартне відхилення, перевірку чутливості до коливань (волатильності) та їх тривалість (стійкість). Для кожної з цих груп розраховано інтегральні показники та, як результат, обчислено узагальнюючий показник, що характеризує рівень соціальної безпеки людини, який показав, що, незважаючи на гібридну війну протягом 2014-2020рр., в Україні спостерігалося покращення соціальної безпеки людини. Це відбувалося в основному за рахунок підвищення рівня забезпечення життєдіяльності та рівня захисту і самозбереження.

Mochammad Aribowo Adi Sagita Putra, Eka Putri Wulandari

The primary objective of this research is to examine the influence of influencer characteristics on the purchase intentions of their followers on the Instagram social media platform. This study employs a research model predicated on the previous work, encompassing the following variables: homophily, physical attractiveness, social attractiveness, trust, expertise, parasocial relationships, and purchase intentions. A purposive sampling approach was utilized in this study, comprising 225 respondents who were interviewed. Data collection was conducted through an online questionnaire distributed via Google Form on social media. The respondents included Instagram social media users aged 17 or older who follow and have encountered reviews from fashion influencers. Data analysis was performed using the Structural Equation Modelling (SEM) technique, specifically the Partial Least Square (PLS) method. The findings of this research reveal that the homophily attitude variable exerts a positive influence on trust, expertise, and parasocial relationships. Similarly, the physical attractiveness variable demonstrates a positive impact on trust, expertise, and parasocial relationships. Additionally, the social attractiveness variable exhibits a positive impact on trust, expertise, and parasocial relationships. Furthermore, the variables of trust, expertise, and parasocial relationships are positively associated with purchase intentions.

Mohammed Hussein Manhal, Abbas Al-khalidi , Zaina Mustafa Mahmoud Hamad

The strategic network of any organization plays a significant role in the industry. Therefore, companies must study the factors hindering the construction of this network. Companies need a strategic network of alliances and partnerships to complement each other and constitute a superpower that competitors cannot overcome. This study explores the size of obstacles posed by managerial myopia in weakening the ability of organizations to build their strategic network. Current paper tests the influential relationship between managerial myopia and the ability of organizations to build their strategic network in one of the most important institutions within the oil sector. Results show a negative impact of managerial short-sightedness on an organization's ability to build a successful strategic network that enables it to coexist within an atmosphere of competition. This study recommends that organizations adopt the concept of managerial hyperopia as a valuable tool for organizational success.

Xuefei Li, Ru Li

The distributed structure of the Internet of things has gradually replaced the centralized structure because of its scalability, security, and single point of failure. The huge scale of information recording of the Internet of things brings challenges and opportunities to the trust management of the Internet of things. Through the analysis of a variety of existing trust management schemes, this paper proposes a unified data structure for distributed access service records, TokenChain, in which triple DES data encryption is used to ensure privacy and traceability, to achieve a unified trust management scheme. Based on TokenChain, a three-tier trust management architecture (TokenChain-Based Trust Management, TBTM) is implemented in the data layer, computing layer, and control layer. Trust evaluation is affected by four statistics and finally converges to a real value under certain conditions. Based on TBTM, we carry out theoretical analysis, malicious attack resistance, simulation, and performance evaluation in various complex scenarios. The results show that TBTM satisfies service prediction, global trust analysis, high security, and excellent performance in multi-domain complex scenarios. Compared with the existing trust management schemes, TBTM realizes cross-scenario interaction and two-way trust management, and simultaneously meets the characteristics of traceability, tamper-proof, attack resistance, and distribution. Finally, this paper is summarized.

Yusuke Takagi, Noriaki Hashimoto, Hiroki Masuda et al.

In medical image diagnosis, identifying the attention region, i.e., the region of interest for which the diagnosis is made, is an important task. Various methods have been developed to automatically identify target regions from given medical images. However, in actual medical practice, the diagnosis is made based not only on the images but also on a variety of clinical records. This means that pathologists examine medical images with some prior knowledge of the patients and that the attention regions may change depending on the clinical records. In this study, we propose a method called the Personalized Attention Mechanism (PersAM), by which the attention regions in medical images are adaptively changed according to the clinical records. The primary idea of the PersAM method is to encode the relationships between the medical images and clinical records using a variant of Transformer architecture. To demonstrate the effectiveness of the PersAM method, we applied it to a large-scale digital pathology problem of identifying the subtypes of 842 malignant lymphoma patients based on their gigapixel whole slide images and clinical records.

Fabian Stiehle, Ingo Weber

Blockchain has been proposed to facilitate the enactment of interorganisational business processes. For such processes, blockchain can guarantee the enforcement of rules and the integrity of execution traces - without the need for a centralised trusted party. However, the enactment of interorganisational processes pose manifold challenges. In this work, we ask what answers the research field offers in response to those challenges. To do so, we conduct a systematic literature review (SLR). As our guiding question, we investigate the guarantees and capabilities of blockchain-based enactment approaches. Based on resulting empirical evidence, we develop a taxonomy for blockchain-based enactment. We find that a wide range of approaches support traceability and correctness; however, research focusing on flexibility and scalability remains nascent. For all challenges, we point towards future research opportunities.

Parantap Chatterjee, Amit Kundu

Learning management system (LMS) used for delivering education has become one of the most important innovative tools. It is widely used and implemented by educational institutes and universities all over the world. This paper reports on a literature review focusing on behavioural intentions of the stakeholders to adopt learning Management Systems in a multinational context. The authors examined 35 publications on the subject from 2018 to 2021, making critical analysis of theories adopted in the study, the research approach, adoption factors, barriers, constructs used and research context. The primary focus is to shed light on these contradictive objectives unfolding in this context and identify research areas that need more attention in future LMS implementation research in the educational institutes.

Julian D. Cortes

This study presents longitudinal evidence on the dissension of Management and Business Research (MBR) in Latin America and the Caribbean (LAC). It looks after intellectual bridges linking clusters among such dissension. It was implemented a coword network analysis to a sample of 12,000+ articles published by authors from LAC during 1998-2017. Structural network scores showed an increasing number of keywords and mean degree but decreasing modularity and density. The intellectual bridges were those of the cluster formed by disciplines/fields that tend toward consensus (e.g., mathematical models) and not by core MBR subjects (e.g., strategic planning).

Julian D. Cortes

This study aims to comprehend the structure of RIBM (research on innovation in business and management) in China and LAC (Latin America and the Caribbean) via co-word and institutional co-authorship networks using Scopus' bibliographic data (1998- 2018). Multiple Correspondence Analysis and Social Network Analysis were applied. Public institutions are interconnected and generate most of the advances in RIBM. RIBM boards regional and national STi policies permeated by sustainability-related factors. China is focused on IT and knowledge management for supply chain and engineering, while LAC focuses on institutional perspectives for economic development.

Andreea-Elena Panait, Ruxandra F. Olimid, Alin Stefanescu

In the last years, identity management solutions on blockchain were proposed as a possible solution to the digital identity management problem. However, they are still at an early stage and further research needs to be done to conclude whether identity systems could benefit from the use of blockchain or not. Motivated by this, we investigate identity management solutions on blockchain intending to give the reader an overview of the current status and provide a better understanding of the pros and cons of using such solutions. We conduct an analysis on ten of the most known implementations, with a focus on privacy and security aspects. Finally, we identify existing challenges and give new directions for research.

Lucas Baier, Josua Reimold, Niklas Kühl

Predictive services nowadays play an important role across all business sectors. However, deployed machine learning models are challenged by changing data streams over time which is described as concept drift. Prediction quality of models can be largely influenced by this phenomenon. Therefore, concept drift is usually handled by retraining of the model. However, current research lacks a recommendation which data should be selected for the retraining of the machine learning model. Therefore, we systematically analyze different data selection strategies in this work. Subsequently, we instantiate our findings on a use case in process mining which is strongly affected by concept drift. We can show that we can improve accuracy from 0.5400 to 0.7010 with concept drift handling. Furthermore, we depict the effects of the different data selection strategies.

Andrei BĂDIN

The major differences that exist in the behaviour of consumers, the commercial practices and the entrepreneurial practices represent an effect of cultural differences. In the current setting of sustainable and systematized development of world states it has become necessary to consider the cultural institutions as organizations which, by their purchasing behaviour based on green principles, by the creation and transmission of messages with themes, they can stimulate the development of green conscience of society. The main purpose of this study is the highlighting of the relationship between the purchasing behaviour based on green principles of organisations, cultural marketing and development of green culture of society (norms, values, customs and traditions). We specify that the organisers represent the public administrations which respect the green principles of organisation with impact on participants in musicoriented cultural events. In this study we seek whether the message transmitted by organisers by must-oriented cultural events is received and assures the participants the development of a green conscience. In this setting, we conducted an opinion poll regarding the determination of impact of music-oriented cultural events on the increase of awareness degree of environmental protection by the component of green procurement of population. The target population was composed of 131 persons, segmented by age, gender, residence environment, income, and occupation and training level. Following the opinion poll the main conclusion was that over 80% of respondents consider important and very important the concept of green procurement for the environmental protection and sustainable development.