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Because of the competitive economy, organizations today seek to rationalize, innovate, and adapt to changing environments and circumstances as part of business process improvement efforts. The strength of blockchain technology lies in its usage as an apt technology to enhance the efficiency and effectiveness of business processes; furthermore, it prevents the use of erroneous or obsolete data and allows sharing of confidential data securely. The use of superior technology in the execution and automation of business processes brings opportunities to rethink the specific process itself as well. Business processes modeling and verification are essential to control and assure organizational evolution, therefore, the aim of this paper is three-fold: firstly, to provide business process management patterns in finance, based on blockchain, specifically for the loan-application process in the banking industry and claim process in the insurance industry that could be used and customized by companies; secondly, to critically analyze challenges and opportunities from the introduction of such approach for companies, and thirdly, to outline how companies can implement the loan business process as a web service. Partner companies (a bank and an insurance company) formulated the potential requirements for M2P along with the application of blockchain technology. An experimental design framework was established that gave the necessary services to model the requirements, check the models, and operationalize the models. The applied research methodologies are as follows: design science research paradigm and software case study, model-to-programming (M2P) of business processes, and utilization of patterns of workflow and blockchain.

PurposeBusiness models are increasingly recognized as a concept to support innovation in organizations. The implementation and operation of a new or altered business model involves the (re-)design of an organization's business processes and their successful execution. This study reviews and synthesizes the existing body of literature to guide organizations in systematically moving from a business model design to the implementation and operation of the business model through their underlying business processes.Design/methodology/approachA systematic literature review of the methods that bridge business models and business processes is performed. The selected 34 studies are classified according to the method's characteristics and the support in the design, implementation and operation of business models.FindingsThe results of the systematic review provide an overview of existing methods that organizations can adopt when moving from business model design into the implementation and operation of their business model using processes.Originality/valueThis work provides a comprehensive overview and detailed insight into the existing methods that align business models and business processes. It increases the understanding on how these two concepts can be synthesized to support more effective digital innovation in organizations. Based on the review results, knowledge gaps are identified and an agenda for future research bridging the fields of business models and business processes is proposed.

As organizations increasingly view information as one of their most valuable assets, which supports the creation and distribution of their products and services, information security will be an integral part of the design and operation of organizational business processes. Yet, risks associated with cyber attacks are on the rise. Organizations that are subjected to attacks can suffer significant reputational damage as well as loss of information and knowledge. As a consequence, effective leadership is cited as a critical factor for ensuring corporate level attention for information security. However, there is a lack of empirical understanding as to the roles strategic leaders play in shaping and supporting the cyber security strategy. This study seeks to address this gap in the literature by focusing on how senior leaders support the cyber security strategy. The authors conducted a series of exploratory interviews with leaders in the positions of Chief Information Officer, Chief Security Information Officer, and Chief Technology Officer. The findings revealed that leaders are engaged in both transitional, where the focus is on improving governance and integration, and transformational support, which involves fostering a new cultural mindset for cyber resiliency and the development of an ecosystem approach to security thinking. Managerial relevance statement Our findings provide interesting insights for managers particularly those in the role of Chief Information Officers (CIOs), Chief Security Information Officers (CSIOs), and Chief Technology Officers (CTOs). We propose a Cyber Security Strategy Framework (CSSF) which can be used by these information/technology managers to design an effective organizational strategy to develop cyber resilience in their organization. Our framework suggests that managers should focus on transitional and transformational support. The transitional support focuses on improving governance and integration whereas transformational support focuses on the emphasis of fostering a new cultural mindset for cyber resiliency and the development of an ecosystem approach to security thinking. Our findings provide good evidence showing how leaders can support more effective cyber security initiatives.

Cybercrime continues to cause increasing threat to business processes, eroding stakeholders’ trust in Internet technologies. In this article, we explore how six dominant algorithmic trust positions facilitate cognitive processing, which, in turn, can influence an organization's productivity and align its values and support structures for combating cybercrimes. This conceptual paper uses a cognitive perspective described as a throughput model. This modeling perspective captures several dominant algorithmic trust positions for organizations, providing a new, and powerful approach which seeks to enhance our understanding of the cognitive representation of decision-making processes. These trust positions are rational-based trust, rule-based trust, category-based trust, third-party based trust, role-based trust, and knowledge-based trust. Finally, we provide conclusion and implications for future research.

Process mining aims at discovering behavioral knowledge of business processes from their event logs, which has received an increasing attention in the era of cloud computing and big data. Surprisingly, to date, discovering structural errors (e.g., deadlocks and lack of synchronization) from event logs has not been considered in state-of-the-art process mining techniques. Moreover, existing process discovery approaches cannot be directly applied to event logs of processes with structural errors due to erroneous event occurrences caused by unsynchronized activities. To address this problem, we first preprocess the event log to obtain two separate event logs that are used to discover deadlocks and lack of synchronization, respectively. Erroneous event occurrences caused by unsynchronized activities are discarded in the two processed event logs, from which our error mining algorithms can discover all process fragments involving structural errors, without the need to obtain the overall process first. We implement our approach in a ProM plugin and evaluate it on event logs of real-life business processes, the results of which demonstrate that our approach can effectively and efficiently discover deadlocks and lack of synchronization if event logs contain sufficient event sequences.

Measuring business process similarity plays an important role in the analysis, management and optimization of business in big companies. In the early days, experts paid major attention to calculating business similarity according to corresponding process models. However, models only express ideal behavior of business processes without any undesired or unexpected business routines. In order to fully model business behavior, some researchers use system logs in similarity measuring. But previous system-logs-based similarity measurements have limitations on: (1) satisfaction of algorithm properties, (2) distribution of similarity values, and (3) complexity of algorithm. In this paper, we take the advantages of token logs in process behavioral similarity measuring. Firstly, the Token Log Profile, modeled with a relation matrix, is defined as an abstraction of the initial token logs. Then, similarity between business processes is calculated based on their Token Log Profiles according to the proposed algorithm. Besides, we extend the properties that similarity algorithms should satisfy for evaluating the proposed algorithm. The experimental and analytical results show that our algorithm achieves very promising accuracy and efficiency while satisfying all the proposed properties compared with state-of-the-art algorithms.

This article investigates the impacts of uncertainties in duration and resource availability and usage on project time and cost. This is done by modeling different scenarios as relevant resource-constrained project scheduling problems. The aim is to develop a scheduling risk assessment framework (SRAF) to model uncertainties in duration and resources and to observe their impact on project objectives (i.e., completion time and cost). This framework provides appropriate information for managers and decision makers and facilitates project planning (scheduling and budgeting) by incorporating uncertainties and risks. To visualize the risk, this article uses an extended version of the integrated definition standard as the example business process. To demonstrate the applicability of the proposed SRAF under varied dynamic conditions, we have considered and solved a practical case study using a self-developed heuristic approach, titled enhanced move-based local search heuristic. The computational results and useful insights open an avenue for future research in the field of project management, which will provide some important propositions or guidelines for project management practitioners.

During the last two decades, the decentralized execution of business processes has been one of the main research topics in Business Process Management. Several models (languages) for processes' specification in order to facilitate their distributed execution, have been proposed. LSAWfP is among the most recent in this area: it helps to specify administrative processes with grammatical models indicating, in addition to their fundamental elements, the permissions (reading, writing and execution) of each actor in relation to each of their tasks. In this paper, we present a model for a completely decentralized and artifact-centric execution of administrative processes specified using LSAWfP. The presented model puts particular emphasis on actors' views: it then allows the confidential execution of certain tasks by ensuring that, each actor potentially has only a partial perception of the processes' global execution states. The model thus solves a very important problem in business process execution, which is often sidelined in existing approaches. To accomplish this, the model rely on three projection algorithms allowing to partially replicate the processes' global execution states at a given moment, to consistently update the obtained partial states and to deduce new coherent global states. The proposal of these three algorithms, the proof of underlying mathematical tools' stability and a proposal of their implementation, are this paper's main contributions.

V tem diplomskem delu obravnavamo avtomatizacijo in optimizacijo poslovnih procesov v kampu s ciljem, da bi poenostavili upravljanje kampa ter zagotavljali boljše uporabniške izkušnje za gosta. Poudarek je na celostni obravnavi gosta od samega prihoda na spletno stran, kjer opravi rezervacijo, do njegovega odhoda. Rešitev omenjenega problema je realizirana v obliki spletne aplikacije, ki temelji na tehnologijah Laravel in Vue. Rezultat kaže, da je bila implementacija rešitve uspešna, saj je dosegla zastavljene cilje. Lastnikom kampa prihrani čas in olajša organizacijo podatkov, prav tako pa izboljšuje uporabniško izkušnjo za goste. Poleg tega je prilagodljiva za integracije z drugimi sistemi in omogoča nadaljnji razvoj. In this thesis, we discuss about the automation and optimization of business processes in a camp, with aim of simplifying camp mangement and providing a better UX for guests. Focus is on entire guest journey, from ther first visit on the website, where they book an accomodation, to their departure. Solution to the mentioned problem is realized in a form of web application, which is based on Laravel and Vue technologies. The result has shown that the implementation of the solution was successful because it achieved the set goals. It saves time and improves the organization of data for camp managers, it is also improving the UX for guests. For addition, it is adaptable for integration with other systems and has space for further development.

Digital transformation is becoming more common in an increasingly digital world, which has contributed to significant changes in business processes around the globe. In the banking industry, this approach allows banking institutions to provide improved customer experiences. However, the determinants of successful banking digitalization are still unclear, as are their cause-and-effect relationships. This article sought to apply problem structuring methods, namely, fuzzy cognitive mapping and system dynamics, to develop a conceptual model that can be applied to analyses of banking industry digitalization. The results are based on two group sessions that were held with a panel of decision makers who deal with banking digitalization processes on a daily basis. The findings were validated by a senior staff member responsible for banking project assessment and development at Caixa Geral de Depositos S.A.—a Portuguese state-owned banking corporation. The approach adopted in this article is unique because digitalization determinants were collected and analyzed based on the participants’ know-how and experience. Static and dynamic analyses produced a deeper, broader understanding of the dynamic cause-and-effect relationships between the identified determinants of banking digitalization, giving rise to a realistic model that can be used to support relevant decision-making processes.

Flexibility and evolution have been a hot topic in the context of business process management. Business process drift detection is a family of methods to detect changes by analyzing the event log, but existing methods have some disadvantages in dealing with concept drifts. First, most of these methods detect changes depending on an exploration of a potentially large feature space and are time consuming. Second, with the size of lag period becoming small, the accuracies of some methods will drop rapidly. In this paper, we address these problems by proposing a novel drift detection technique called LCDD that significantly differs from existing methods. The core idea is to find out new features and disappeared features from traces after the log fragment meets local completeness. To begin with, we use the relations of direct succession as the lightweight feature, which are compared between complete window and detection window. Then, we find new direct successions and stable disappeared direct successions by just moving detection window. Finally, the forgetting mechanism is used to abandon some direct successions after finding a change point. An extensive empirical evaluation shows that LCDD is faster and more accurate.

Business process compliance ensures that the processes of an organisation are designed and executed according to the rules that govern it. We faced the challenge of building a compliance management system for a process-aware organisation and identified several needs that, despite having been identified in the literature, were only partially satisfied by existing approaches. The variability in the types of rules generally restricts the existing support for compliance checking to specific types of rules, a concrete phase of the business process management lifecycle, or certain information systems (ISs) for data retrieval. Motivated by this, we designed a conceptual framework for compliance checking that relies on the use of mashups for rule specification and checking, with the following advantages: (i) an open-ended set of rules can be specified by designing and connecting mashup components; (ii) (parts of) the definitions of the rules can be reused as needed; and (iii) the mashup-based compliance checking system can be integrated with ISs of the organisation, enabling the verification of actual facts on actions performed during the execution of a process (e.g., the existence of a document in a location). Design-time and run-time implementations of the framework were conducted and tested in a real setting.

Business process similarity measures are of vital importance for process repository management applications, such as process query, process recommendation, and process clustering. Most existing approaches measure process similarity by relying on control-flow structures only. This article investigates the role of data in process similarity measure. To incorporate data-flow information into business process control flow, it proposes a data-aware workflow net (DWF-net) by extending the classical workflow net with data reading and writing semantics. Then, we introduce three types of similarity measures, i.e., data item set-based similarity, data operation set-based similarity, and data-aware behavior-based similarity, to quantify the similarity of data-aware business processes from different perspectives. Next, a methodology is introduced to help process analysts apply these three measures in a systematical way. Finally, we evaluate the effectiveness and applicability of the proposed similarity measures by a group of comparative experiments.

Modern management requires the highest level of analytics and the optimisation of business processes with a low risk of poor management decisions. These are essential since rapid changes in the financial world and the external environment can have critical effects. The direction of a company’s growth and the effectiveness of its management systems depend directly on the quality of intellectualisation. This study aims to develop a new methodology for studying the criteria and results of the intellectualisation processes to achieve the highest efficiency in company management systems. This study used sociological and empirical methods to find intellectualisation efficiency criteria. These criteria were then used to analyse the intellectualisation process in ten Russian companies. The correlation analysis method revealed a close relationship between the intellectualisation integral indicator and company performance over time. The results showed that the intellectualisation efficiency criteria are intellectualisation indicators in human resource management systems as well as computer-aided and automated management systems. In addition, it was found that company performance depends on the intellectualisation integral indicator, the human intelligence and artificial intelligence synergy, as well as on the efficiency of using artificial intelligence in business processes.

Progettazione e sviluppo di un motore di workflow per processi gestionali informatizzati. Il termine workflow identifica il modello digitale di un processo di business attraverso la sua rappresentazione in forma di grafo orientato. Ogni nodo del grafo identifica un’azione ben definita, declinata in forma di passaggi decisionali, sottoprocessi e/o manipolazione dei dati di contesto, con l’obiettivo di supportare l’iter di un processo in maniera efficiente, misurabile e ripetibile. La definizione di un workflow implica sia aspetti statici che dinamici di un processo e ne modella il comportamento come un automa a stati finiti. Ogni collegamento dell’automa stabilisce un collegamento fra due attività, definendo condizioni di percorrenza formalizzate come funzioni booleane. Tali funzioni sono attivate nel momento in cui un attore o un sotto-processo conclude le attività previste dalla fase attuale e vuole transire alla successiva. Emerge, a questo punto, la necessità di un orchestratore che governi l’andamento del workflow, garantisca il rispetto dei vincoli imposti dal processo sottostante e punti alla “fase attuale” del flusso, permettendo di individuare i percorsi attivabili e le condizioni di percorribilità in funzione del contesto e degli attori.

With the arrival of Industry 4.0, interoperability has become a major subject for companies worldwide. It is a crucial asset that enables new technologies and possibilities (Industrial Internet of Things, predictive maintenance or traceability solutions). With the increasing importance of data in business use cases, companies are faced with a choice between two interoperability approaches to deal with the challenge of reconciling different domains: standardization and mediation. This paper presents an analysis of each approach and proposes a decision-making methodology based on the Analytic Hierarchy Process (AHP) that aims to help companies in choosing the most suitable solution to resolve interoperability challenges.

This article examines the system of objects of logistics services and processes quality management in a motor transport enterprise. The paper determines that ineffective quality management of logistics business processes of an enterprise causes low quality of services and low customer satisfaction. The purpose of this article is to study and develop a system of objects in managing the quality of logistics services and processes in a motor transport enterprise from the standpoint of a logistics approach, which includes a set of integrated logistics business processes for quality formation, the requirements and the results of implementation. For this purpose, the main objects that affect the quality of logistics services in the motor transport enterprise are considered. It is determined that the goal of quality management is to improve the quality of products and services, and to achieve this, the authors recommend structural transformations, which include clarifying the boundaries of the object by including the elements of the external environment. The authors propose an approach to the formation of research objects, which includes defining goals, criteria for distinguishing between the object and the environment, the nature of interaction between the object and the environment, development of object models, and identification of its features and properties. The authors propose to distinguish labor quality as an element of the external environment and to establish its relationship with the quality of logistics services. Other elements of the external environment are the quality of information, the stages of quality formation, and the quality of labor items and tools. The quality of live labor and transportation services depends on the quality formation process. The logistics services of a motor transport company cover a wide range of services aimed at ensuring the efficient operation of the logistics system and managing all related processes. The stages of formation of the quality of logistics services are defined as a set of integrated basic, auxiliary, service and management logistics business processes, their interconnection, respectively, their “inputs” and “outputs” are considered. It is proposed to consider the system of quality objects in the MTE from the standpoint of the cybernetic approach and to present it as a set of dynamic links, each of which is integrating. This means that the input signal (quality of information, means and objects of labor, etc.) is transformed into an output signal (requirements for the quality of services). To ensure the high quality of logistics services (maintenance), the main, auxiliary, service and management processes are defined from the perspective of quality management in the MTE, the essence of the processes, the main stages of formation and quality indicators of business processes, as well as those responsible for quality assurance are described. The results of the study may be useful for motor transport enterprises that wish to improve the quality of their logistics services and management processes., У цій статті досліджується система обʼєктів управління якістю логістичних послуг та процесів на автотранспортному підприємстві. У роботі визначено, що неефективне управління якістю логістичних бізнес-процесів підприємства призводить до низької якості послуг і низької задоволеності споживачів. Метою даної статті є дослідження та розробка системи обʼєктів при управлінні якістю логістичних послуг та процесів на автотранспортному підприємстві з позиції логістичного підходу, що включає сукупність інтегрованих логістичних бізнес-процесів з формування якості, вимог, що входять, й одержаних результатів реалізації. Для цього розглянуто основні обʼєкти, що впливають на якість логістичних послуг на АТП. Визначено, що ціллю управління якістю є покращення якості продукції та послуг, а для досягнення цього автори рекомендують проводити структурні перетворення, які включають уточнення границь обʼєкта шляхом включення в нього елементів зовнішнього середовища. Автори запропонували підхід до формування обʼєктів дослідження, що включає визначення цілей, критеріїв розмежування обʼєкта та зовнішнього середовища, характер взаємодії між обʼєктом і середовищем, розробку моделей обʼєкта та встановлення його особливостей і властивостей. Авторами запропоновано виділити якість праці як елемент зовнішнього середовища та встановити її звʼязок з якістю логістичних послуг. Елементами зовнішнього середовища також є якість інформації, стадії формування якості та якість предметів і засобів праці. Якість живої праці та транспортних послуг залежать від процесу формування якості. Логістичні послуги автотранспортного підприємства охоплюють широкий спектр послуг, спрямованих на забезпечення ефективної роботи логістичної системи та управління всіма повʼязаними з цим процесами. Стадії формування якості логістичної послуги визначено у вигляді сукупності інтегрованих основних, допоміжних, обслуговуючих та управлінських логістичних бізнес-процесів, розглянуто їхній взаємозвʼязок, відповідно їх «входи» і «виходи». Запропоновано систему обʼєктів якості на АТП розглянути з точки зору кібернетичного підходу та подати у вигляді сукупності динамічних ланок, кожна з яких є інтегруючою. Це означає, що вхідний сигнал (якість інформації, засобів та предметів праці тощо) перетворюється на вихідний сигнал (вимоги до якості послуг). Для забезпечення високої якості логістичних послуг (обслуговування) визначено основні, допоміжні, обслуговуючі та управлінські процеси з позиції управління якістю на АТП, описано сутність процесів, основні етапи формування і показники якості бізнес-процесів, а також відповідальні за забезпечення якості. Результати дослідження можуть бути корисними для автотранспортних підприємств, які бажають покращити якість своїх логістичних послуг та процесів управління.

This paper gives recommendations for selecting, implementing and sustainably operating ERP systems. We indicate special aspects which are important from our point of view. The paper addresses practitioners who are responsible for ERP systems, especially IT and project managers. The structure of the paper matches the three main phases of an ERP system’s lifecycle within an enterprise: selection, implementation and operations. General process models are given for selection and implementation of ERP systems. Our suggestions stretch from project management, business process reengineering, system selection criteria, reporting and customizing to choosing key users, data migration, and user training. Operations of ERP systems are commented according to the views defined by the ARIS concept. We are focusing on organizational issues, but give also remarks on business process maintenance, exploitation of ERP functions, and data management. While other publications give rather general advice, recommendations in this paper are selected to be use-oriented and easy to apply. The recommendations do not depend on any particular ERP system.

Big Data is a rapidly evolving and maturing field which places significant data storage and processing power at our disposal. To take advantage of this power, we need to create new means of collecting and processing large volumes of data at high speed. Meanwhile, as companies and organizations, such as health services, realize the importance and value of "joined-up thinking" across supply chains and healthcare pathways, for example, this creates a demand for a new type of approach to Business Activity Monitoring and Management. This new approach requires Big Data solutions to cope with the volume and speed of transactions across global supply chains. In this paper we describe a methodology and framework to leverage Big Data and Analytics to deliver a Decision Support framework to support Business Process Improvement, using near real-time process analytics in a decision-support environment. The system supports the capture and analysis of hierarchical process data, allowing analysis to take place at different organizational and process levels. Individual business units can perform their own process monitoring. An event-correlation mechanism is built into the system, allowing the monitoring of individual process instances or paths.

International audience; With Cloud/Fog Computing being a paradigm combination of IoT context and Edge Computing extended with Cloud/Fog, business process in it involves dataflows among multilayers and multi-nodes, possibly provided by multi-organizations. Achieving end-to-end trustworthiness over the whole dataflow in such a Cloud/Fog Computing context is a challenging issue, nonetheless a necessary pre-condition for a successful business process on intra-/inter- organizational level. This paper investigates technical conundrums related to this target and proposes a policy-based approach for trustworthiness governance. An architectural layout is proposed with according modules, by carrying out two methodologies. One resides in tracing data derivation and maintaining security-level over the whole dataflow, handling data aggregation with several protocols. The other is to express data owner trustworthiness requirements with an enhanced attribute-based access control policy model and to evaluate data accessing nodes’ trustworthiness-related properties. Experiments show that processing time per attribute pair drops as the scales of policies increase, suggesting good scaling property of the system.

Product-technology roadmapping is one of the major planning tools for integrating the company's strategic objectives and current plans. The roadmapping process itself helps to create collaborative knowledge and transforming knowledge from tacit to explicit, which creates a common understanding among different departments. However, there are a number of challenges in establishing the process as a part of the management system in an organization. One of the difficulties stated was the resistance of organizational units to the changes in the business process, organizational structure, and work culture. In this article, the roadmapping implementation phases at Arcelik A.S., a durable consumer goods company, utilizing roadmapping as a part of the strategic planning process will be discussed. One of the unique contributions of the Arcelik A.S. case study is that the roadmapping methodology integration to other processes, such as strategic planning, portfolio management, and human resources planning, was done seamlessly. The needs and roadmapping implementation challenges in a company, which is expanding itself from local to global, solutions generated for a more suitable application, and lessons learned for roadmapping continuity will be discussed in detail. These learnings could help organizations in adapting similar approaches. The case study could also be a source of academic research on the roadmapping methodology.

Nyong Group is one of the Micro, Small and Medium Enterprises (MSME) located in Sleman, Yogyakarta. Nyong group has several business units, namely nyong shoes and care Yogya, shoes and care Cilacap, nyong donuts, and nyong stalls (food, snacks and chili sauce). The problems by IbM partners include; First, (1) There is no Point of Sales application that uses inventory to meet the needs of the production process or is sold again, (2) Not yet has this Inventory covering raw materials, in-process goods, and goods so (finished goods). The output targets in this program are (1) the application of point of sales applications for recording sales transactions, (2) Adding an inventory application to the created point of sales applications. The service program is carried out in 2 (two) forms; First, (1) design of a point of sales application for Nyong Group's sales transactions. Second, making an inventory application to be able to determine whether to record goods based on arrival time or the amount of stock you can determine to record goods based on arrival time or stock amount. The implementation of this program is designed in four stages of activity, namely: (1) Coordination and preparation stage (2) Design stage (3) Science and technology implementation stage (4) Evaluation and refinement stage.

The technological intelligence tools that companies need to achieve sustainable development in today's digital age are extremely limited. To fill this gap in the literature, a novel technology intelligence tool is developed in this article. The developed technology intelligence tool uses patent analysis and utility mining. It is based on the HUP-growth mining algorithm, which is one of the utility mining algorithms, to find the relationships between technologies. The developed technology intelligence tool has three contributions to the literature. First, the importance level of the technologies and the repetitions of each technology in a patent have been taken into consideration. Second, the existing studies in the literature cannot use a technology intelligence tool to explore the relationships between technologies. Third, the developed technology intelligence tool is more successful in finding hidden patterns among patent documents. A real-life case study of business method patents about electronic shopping is conducted to show how the developed technology intelligence tool works in practice. The Apriori algorithm is also used to compare the results obtained from on the HUP-growth mining algorithm. The results of this study show that companies can quickly and effectively find association among technologies under concern using the developed technology intelligence tool.

Authors: Samson Darchia, PhD, Operational Support Department Bank, Tbilisi, Georgia Pages: 46-49 Language: English DOI: https://doi.org/10.21272/fmir.6(1).46-49.2022 Received: 14.01.2022 Accepted: 17.02.2022 Published: 29.03.2022 Download: Views: Downloads: 334 47 Abstract This paper summarizes the arguments and counterarguments within the scientific discussion on the issue about the activity of financial director in the sphere of investment. The main purpose is to сonduct research about investment activities, the design of business processes, to evaluate and find improvements that help to organize business process. Business-process is based on the circumstances, that the financial director is responsible for the company’s money and investments one of the important components of the mentioned cash flow. In the given article the high-level business process of investment activity is offered, also there are given pre-investment and investment budgeting sub-processes. The author proposes to distinguish three phases: Pre-investment, investment, exploitation. Improvements in business process are perceived by members of companies and directors, finance departments as one of the main factors in improving the quality of investment activity. The results of the study can be useful for business managers in the context of developing improvement measures in investment activity, identifying key areas for improving the business process, which will improve profitability, transparency of financial activities, and trust and willingness to cooperate with investors in the future.

The inclusion of security aspects in organizations is a crucial aspect to ensure compliance with both internal and external regulations. Business process models are a well-known mechanism to describe and automate the activities of the organizations, which should include security policies to ensure the correct performance of the daily activities. Frequently, these security policies involve complex data which cannot be represented using the standard Business Process Model Notation (BPMN). In this paper, we propose the enrichment of the BPMN with a UML class diagram to describe the data model, that is also combined with security policies defined using the UCONABC framework annotated within the business process model. The integration of the business process model, the data model, and the security policies provides a context where more complex reasoning can be applied about the satisfiability of the security policies in accordance with the business process and data models. To do so, wetransform the original models, including security policies, into the BAUML framework (an artifact-centric approach to business process modelling). Once this is done, it is possible to ensure that there are no inherent errors in the model (verification) and that it fulfils the business requirements (validation), thus ensuring that the business process and the security policies are compatible and that they are aligned with the business security requirements. This work has been supported by Project PID2020-112540RB-C44 funded by MCIN/AEI/ 10.13039/501100011033, Project TIN2017-87610-R funded by MCIN/AEI/10.13039/501100011033 and FEDER “Una manera de hacer Europa”, Project 2017-SGR-1749 by the Generalitat de Catalunya, Projects COPERNICA (P20 01224) and METAMORFOSIS by the Junta de Andalucía.

The process approach is one of the most important practices to manage enterprises. However, a limitation in the literature concerns the factors that characterize this management approach in service enterprises. This study seeks to show the differentiating factors of the process approach in services industries, useful to understand business processes and their management in the organizations in this sector. Qualitative research through a single case study in a training service company was carried out by observation, interviews and the use of documentary evidence to identify the factors. Findings show six differentiating factors (organization nature, process nature, process inputs and outputs, process control, human resources, and staff roles) which were classified into three categories: organization, process, and people. This will be beneficial and of value to managers of the service organizations to understand business processes and their management in enterprises.

The lack of clear and accessible information sources, services, platforms, applications or portals on digital business transformation slows down the speed of innovation in domestic entrepreneurship. In turn, this does not allow businesses to integrate with global trends, which complicates access and work in the international economic arena. The identified problems necessitate the development of a methodological approach to the study of digital transformation processes at the enterprise level; polystructural methodological approach to determining the index of digital transformation of business structures on the basis of relevant indicators; design and implementation of a digital platform for small and medium-sized businesses, which would automatically determine the Digital Transformation Index and provide an individual "road map" to improve the digital development of the enterprise. The article presents recent innovative technology for modeling business processes of enterprises based on process management. The paper considers the creation and justification of the updated methodological and analytical tools for assessing, selecting and regulating the production system of administration of an enterprise project portfolio in a single operating management system. The application of the process approach is based on a comprehensive, systematic review of the enterprise as a set of processes, the development of a process management system using the principles of ISO 9000: 2000. The new process approach is proposed that allows excluding routine operations from the actions of employees, increasing the speed of employee interaction, effectively optimizing existing business processes, and quickly rebuilding the enterprise’s business processes in response to significant changes in business conditions. The work identifies executable business processes, proposes a new approach to modeling the business processes of an enterprise, gives examples of problems associated with the new approach, and suggests possible ways to solve them. Criteria for the results of simulated business processes are defined that allow linking the target indicators of a balanced scorecard of the enterprise with the established results of business processes. It is proved that the use of this recent innovative technology for solving scientific and practical problems of enterprise management significantly expands and deepens the possibilities of economic analysis in the process of solving problematic situations and makes management decisions more grounded and effective.

While prior accounting research documents normalizing strategies within the accounting profession and in instances of accounting adoption, the potential of accounting itself as a strategic tool toward normalizing that which is considered socially abnormal (i.e., dirty) remains an important and unexamined area of inquiry. In this study, we conduct in-depth interviews to examine the role accounting plays in the development of the US cannabis industry as it transitions from the illicit market in which formal accounting was systematically avoided, to a state-legal market in which participants are subject to conventional business processes. Facing impediments to traditional operating practices and pressures to increase normative conformity for industry survival, cannabis operators incorporated the use of accounting in three normalizing strategies (creative concession, collaborative facilitation, and experimentation), seemingly influenced by the incongruencies between prior illicit-market culture and experiences, and the state-legal operating environment. In response to what operators perceived to be coercive regulation, they employed creative concession strategies, including influencing, bargaining, challenging, escaping, and cessation tactics. However, in response to pressures to adopt more commonly accepted forms of accounting, cannabis operators instead deployed two different strategies, one focused on acquiescence to normalizing pressures when doing so facilitated essential relationship building (i.e., collaborative facilitation strategies), and one deployed as strategic experimentation, working to normalize industry activities in areas of perceived threats to industry acceptance and continuity. Given cannabis operator accounting naivete, its usefulness was often introduced by peripheral industry parties attempting to normalize their own participation with the cannabis industry. Notably, we also find that normalizing pressures occasionally resulted in unintended consequences, including reversion to the illicit market and forgoing normalizing strategies in favor of retaining some level of dirtiness to fend off pending competition, both of which threaten to reemphasize the industry’s dirtiness. Our study, therefore, points to accounting itself as a central mechanism in the complex, multidirectional strategy to normalize transitional dirtiness.

The presented research reveals the concept of intangible motivation of personnel. The definitional content of this category has been formed, the place, components, basic principles, approaches to implementation, as well as the psychological basis of motivation, have been determined. The co-evolutionary mechanisms of the system of intangible motivation and implementation of the quality management system at the enterprise have been determined, an important attribute of which is the permanence and consistency of the use of general principles. The need to implement the principles of a quality management system is determined at all stages of personnel management, in particular: selection and assessment of personnel, adaptation and training, team building, development and attraction. In the course of the study, it was confirmed that systematic training of employees on quality issues, tools and principles of the quality management system is an important element of improving and managing quality in organizations, because training and development has a significant impact on the quality provided by the organization on a regular basis through quality education and training activities, quality-oriented rewards and programs are essential to achieve quality management objectives. Quality management initiatives and programs require the support, input and cooperation of all workers and their effective involvement. The main psychological motivational components of the enterprise personnel in the structure of the enterprise quality management system have been determined, namely: awareness, responsibility and competence. The importance of such tools of the quality management system as policy and goals in the context of the formation of a motivational strategy is emphasized. Proposals have been formulated for the implementation of non-material motivation using the toolkit of general principles and approaches of the enterprise quality management system. Key words: quality management system, process, business process, management, principle, intangible motivation, activator.

This study aimed to examine changes in enterprise management under the COVID-19 pandemic and develop a universal mechanism for managing digital transformation. Its methodological basis was represented by a terminological analysis of the concepts of automation, digitalization, and digital transformation. Their close consideration enabled forming a conceptual scheme of business digitalization. In sum, the study process unveiled that full-fledged and fruitful digital transformation can be achieved through restructuring a companys business process management system. By comparing the outcomes of using digital platform-based business models, the most promising one was selected to be used in the COVID-19 affected environment. Its practical application was studied in Azerbaijan, Russia, and Switzerland using the Network Readiness Index. The analysis made it possible to form business development strategies for each country reviewed and develop a universal mechanism of digital transformation management on enterprises by means of optimization and modeling. The obtained findings suggest that in pandemic settings, digital enterprise management is concentrated on survival, self-learning, and cooperation without intermediaries through innovation and transformation of business processes. The created strategies can be used to adopt digital technologies and attract investment. Further research can be directed at detailing the proposed mechanism. IEEE

Medical information is private, and medical data are valuable for medical research. Thus, medical information sharing is challenging because the data might be manipulated improperly and revealed during the operational process. The accuracy and integrity of medical information should be guaranteed throughout the sharing process. Medical institutions require shared information for scientific research and development; however, the issue of privacy inhibits the sharing process. In this article, we propose a new business process and a blockchain-based platform for medical information sharing. Our method exploits the advantages of blockchain in medical information recording and sharing. Information can be stored, shared, and credibly verified among parties in the distributed network. In addition, we propose a new consensus algorithm and a universal anonymous sharing model. These methods improve the efficiency and security of medical information sharing between users. In this way, both the information and the traces of the transaction can be stored in a distributed manner to prevent manipulation and fraud. Consequently, the value of medical information can be fully utilized.

The purposes of this research are: (1) to find types of costing of universities which apply financial management of public service agencies in vocational education that apply boarding school system, (2) to arrange the suitable process of business for improving its graduates' competence doing more practice, (3) to know cost driver to be controlled for improving the effectiveness and efficiency. The result of this research shows that: (1) development of costing model at Poltekpel Surabaya and ATKP Surabaya through cost reduction program on cost drivers can increase competitiveness and independence in exploring sources and composition of costs, (2) planning and budget of Poltekpel Surabaya and ATKP Surabaya not yet maximal in using performance-based budgeting system, (3) need to simplify the business process at Poltekpel Surabaya and ATKP Surabaya, to compete in providing services to the community, (4) the financial management system Poltekpel Surabaya and ATKP Surabaya is good, transparent and accountable, by the provisions of the legislation, (5) the need to explore sources of financing derived from the use of assets and grants, (6) with the development of the model can increase the effectiveness and efficiency at Poltekpel Surabaya and ATKP Surabaya.

Background and purpose: Operational alignment, the alignment between business processes (BPs) and information systems (ISs), is a well-acknowledged requirement for improving business efficiency. However, a lack of sound foundation for the practical implementation of operational alignment remains in the existing literature. This is, in part, because previously developed coarse-grained strategic alignment models for operational alignment have overlooked the differences between strategic and operational levels of alignment. Additionally, while some studies have recognized these differences, they remain limited. This is partly due to their negligence of the IS’s socio-technical nature or their focus on identifying the social antecedents and their effect on operational alignment, without considering how ISs meet the business requirements in achieving operational alignment. To overcome this potential lack of applicability, the purpose of this paper is to determine the right level of abstraction for describing BPs and ISs and reconceptualizing operational alignment. Methodology: This paper conducts empirical research using a grounded theory (GT), centering on semi-structured interviews with 28 experts involved in the Iranian top public universities. Data were analyzed by using MAXQDA software. Results: The resulting FunCaps framework specifies the required combinations of BP functions and IS capabilities for operational alignment. Conclusion: FunCaps reconceptualizes operational alignment based on operational planning and reciprocal integration and establishes the broader picture by considering an IS as a socio-technical system.

The article researches the impact of the digitalization and digital transformation process on the construction of functional management systems of modern enterprises. The article materials consider new information opportunities for business models building and business processes organization. Approaches to the improvement of operational processes and their optimization are substantiated. The evidence is given that the possible way to implement digitalization in certain areas may be: the concept (strategy), staff training and education, the new technologies implementation. It is defined that the implementation of the digital transformation of the business model can take place in stages at the level of its individual elements or components. It is supposed reasonable to use a system-oriented approach to management, which is based on understanding the object of management as a whole, the need for internal and external communication links, i.e., a set of related management methods and tools in the enterprise and its structural units. System-oriented management of the digitalization process in the article is considered to involve the business processes transformation. Such processes should be based on perfect digital strategy planning. Important components are the feasibility assessment of practical digital initiatives implementation, monitoring of promising areas of action, forecasting the expected effect of digitalization and comparison of innovative initiatives. The application of a systematic approach to the management of the digitalization process is justified at certain stages, which will allow in a certain sequence and order to get the maximum effect and ensure the achievement of goals and acceptable results. The main stages of system-oriented management of the business processes digitalization process are offered, as well as the main groups of factors of influence (external and internal) on the digitalization implementation process are determined.

Automated quality systems for pharmaceutical quality systems were analyzed and two software products were proposed for managing business processes and quality system processes for pharmaceutical enterprises. Проаналiзувано автоматизовані системи якостi для фармацевтичних систем якостi та запропоновано два програмних продукти для ведення бiзнес-процесiв та процесiв системи якостi для фармацевтичних пiдприємств.

The objective of this thesis is to analyze a selected business agenda and create a conceptual and physical data model of an information system for this agenda on a selected database system. The first part of the thesis are focused on description of information systems and their classification. Data modeling features and requirements are characterized in this part. Following part presents the selection of a modelling tool for creating a data model based on a multi-criteria evaluation. The conceptual schema is modeled using the selected tool. It captures the necessary entities and their attributes to meet the defined requirements. The purpose of creating data model is capture the agenda of warehouse management of small stonemasonry company in South Bohemia region. Each chapter is focused on different part of creating database such as the conceptual, logical and physical levels. To test the created physical model SQL code is generated and uploaded to the web platform bit.io supporting PostgreSQL.