The growing reliance on digital infrastructures has made Electronic Records Management Systems (ERMS) essential for ensuring organisational governance, accountability, and effective service delivery. This study presents a structured comparative literature review of ERMS adoption and implementation across developed and developing governmental contexts. The objective is to identify key determinants influencing implementation, examine recurring challenges, and highlight contextual differences in adoption patterns. A structured literature review was conducted using peer-reviewed journal articles, conference proceedings, and institutional reports published between 2010 and 2024. The findings identify four primary determinants influencing successful ERMS implementation: governance and policy alignment, technological infrastructure readiness, human resource capacity, and system interoperability. The results reveal notable contextual differences. In developing environments, implementation is largely constrained by infrastructural limitations, financial constraints, and shortages of technical expertise. In contrast, studies conducted in more digitally mature environments emphasise challenges related to system interoperability, usability, and metadata standardisation. The study demonstrates that ERMS implementation should be understood as a socio-technical process that requires alignment among governance frameworks, technological infrastructure, and organisational culture. By synthesising fragmented case-based research into a comparative analytical framework, this study advances the study of ERMS implementation. It provides practical insights for policymakers and practitioners involved in digital governance initiatives. Future research should prioritise longitudinal and cross-national empirical studies to further strengthen theoretical development in digital records management.
Generative AI technologies, particularly Large Language Models (LLMs), have transformed information management systems but introduced substantial biases that can compromise their effectiveness in informing business decision-making. This challenge presents information management scholars with a unique opportunity to advance the field by identifying and addressing these biases across extensive applications of LLMs. Building on the discussion on bias sources and current methods for detecting and mitigating bias, this paper seeks to identify gaps and opportunities for future research. By incorporating ethical considerations, policy implications, and sociotechnical perspectives, we focus on developing a framework that covers major stakeholders of Generative AI systems, proposing key research questions, and inspiring discussion. Our goal is to provide actionable pathways for researchers to address bias in LLM applications, thereby advancing research in information management that ultimately informs business practices. Our forward-looking framework and research agenda advocate interdisciplinary approaches, innovative methods, dynamic perspectives, and rigorous evaluation to ensure fairness and transparency in Generative AI-driven information systems. We expect this study to serve as a call to action for information management scholars to tackle this critical issue, guiding the improvement of fairness and effectiveness in LLM-based systems for business practice.
Large language models (LLMs) have changed the reality of how software is produced. Within the wider software engineering community, among many other purposes, they are explored for code generation use cases from different types of input. In this work, we present an exploratory study to investigate the use of LLMs for generating smart contract code from business process descriptions, an idea that has emerged in recent literature to overcome the limitations of traditional rule-based code generation approaches. However, current LLM-based work evaluates generated code on small samples, relying on manual inspection, or testing whether code compiles but ignoring correct execution. With this work, we introduce an automated evaluation framework and provide empirical data from larger data sets of process models. We test LLMs of different types and sizes in their capabilities of achieving important properties of process execution, including enforcing process flow, resource allocation, and data-based conditions. Our results show that LLM performance falls short of the perfect reliability required for smart contract development. We suggest future work to explore responsible LLM integrations in existing tools for code generation to ensure more reliable output. Our benchmarking framework can serve as a foundation for developing and evaluating such integrations.
The number of Micro, Small and Medium Enterprises (MSMEs) is a large part of the economic implementation in totality. However, the growth of MSMEs related to technological advances is still not in line with expectations. The proportion of MSMEs that use online sales is still low. This is caused by many MSMEs who do not understand the technical procedures for online sales. The purpose of this activity is to develop MSME expertise in universal management, digital marketing and financial recording. The development and improvement carried out is in the form of developing skills in making marketing planning, digital marketing and understanding financial records so that they can be useful in developing businesses that will be run in the future. The training participants were 34 micro-enterprises, most of which were culinary businesses that were given the management training they needed. The result obtained from this activity is the occurrence of culinary fostered partners who are more advanced in managing and selling products online.
Based on the manifold implications of the relationship between cyber risk management and digital transformation, the present paper intends to perform a bibliometric analysis stressing the main topics which have been investigated so far under this overarching research theme. The aim is to conduct a structured examination of cyber risk management in the context of digital transformation, with a focus on management practices. The bibliometric analysis was conducted following the steps in the PRISMA guidelines. 73 sources retrieved from Scopus database were analysed, covering 37 papers presented at conferences, 24 articles published in scientific journals, 8 book chapters and 1 full book together with 2 reviews and 1 conference review. In terms of research areas, the majority of studies came from the disciplines of engineering, computer science and social sciences. By using various approaches to assess cyber risks, the bibliometric analysis provides a solid framework for understanding and managing threats in a systematic and effective way. Moreover, the analyses reflect discrepancies between the perceived level of cybersecurity requirements and the actual level of preparedness and awareness of cyber risks in various industry sectors. This underlines the need for a more comprehensive and proactive approach to cybersecurity management, taking into account not only technologies and protection methods, but also cultural and organisational aspects.
Economics as a science, Business records management
Kristina Dzeparoska, Jieyu Lin, Ali Tizghadam
et al.
Automated management requires decomposing high-level user requests, such as intents, to an abstraction that the system can understand and execute. This is challenging because even a simple intent requires performing a number of ordered steps. And the task of identifying and adapting these steps (as conditions change) requires a decomposition approach that cannot be exactly pre-defined beforehand. To tackle these challenges and support automated intent decomposition and execution, we explore the few-shot capability of Large Language Models (LLMs). We propose a pipeline that progressively decomposes intents by generating the required actions using a policy-based abstraction. This allows us to automate the policy execution by creating a closed control loop for the intent deployment. To do so, we generate and map the policies to APIs and form application management loops that perform the necessary monitoring, analysis, planning and execution. We evaluate our proposal with a use-case to fulfill and assure an application service chain of virtual network functions. Using our approach, we can generalize and generate the necessary steps to realize intents, thereby enabling intent automation for application management.
Innovative solution for addressing the challenges in the legal records management system through a blockchain-based eVault platform. Our objective is to create a secure, transparent, and accessible ecosystem that caters to the needs of all stakeholders, including lawyers, judges, clients, and registrars. First and foremost, our solution is built on a robust blockchain platform like Ethereum harnessing the power of smart contracts to manage access, permissions, and transactions effectively. This ensures the utmost security and transparency in every interaction within the system. To make our eVault system user-friendly, we've developed intuitive interfaces for all stakeholders. Lawyers, judges, clients, and even registrars can effortlessly upload and retrieve legal documents, track changes, and share information within the platform. But that's not all; we've gone a step further by incorporating a document creation and saving feature within our app and website. This feature allows users to generate and securely store legal documents, streamlining the entire documentation process.
Márcio Rocha Ferreira, Tadeu Moreira de Classe, Sean Wolfgand Matsui Siqueira
Interactive narratives offer a novel approach to presenting business process models, making them more accessible and collaborative. These narratives create a hyper-textual environment that facilitates knowledge exchange and comprehension for ordinary individuals. However, designing such narratives is complex, as business process modelers must accurately identify and translate the graphic elements of a process model into dynamic narrative elements. This research paper introduces the Scripting Your Process (SYP) method, which provides a systematic approach to designing interactive narratives based on business process models. Following the principles of Design Science Research (DSR), a quasi-experimental study demonstrates and evaluates the SYP method. The results show that the SYP method successfully achieves its objective, contributing to the systematic design of interactive narratives derived from business process models. Consequently, individuals who are not experts in business process management can understand these processes in an engaging and gameful manner.
The article explores which financial instruments have the highest potential to deliver the transition to a low-carbon economy in Romania, given the structure of the national economy. Based on a Scopus comprehensive query resulting in 364 analysed articles on green and sustainable finance in Romania, the paper fills a research gap by looking not only at stakeholders' perception of this emerging field in Romania or by describing different kinds of green financial instruments, but by analysing which instruments are most likely to have the highest leverage and impact to mobilize finance towards decarbonizing the local economy. The banking sector in Romania accounts for 75% of total financial system assets, total net assets in the Romanian banking sector amounting to approx. 140 bio. EUR and dwarfing the Stock Exchange, bonds, European Structural and Investment Funds, etc. While green bonds have seen double digit growths, green loans and other banking instruments (debt denial, etc.) have the highest potential to decarbonize the national economy most effectively.
Economics as a science, Business records management
We propose a software architecture where SAT solvers act as a shared network resource for distributed business applications. There can be multiple parallel SAT solvers running either on dedicated hardware (a multi-processor system or a system with a specific GPU) or in the cloud. In order to avoid complex message passing between network nodes, we introduce a novel concept of the shared SAT memory, which can be accessed (in the read/write mode) from multiple different SAT solvers and modules implementing the business logic. As a result, our architecture allows for the easy generation, diversification, and solving of SAT instances from existing high-level programming languages without the need to think about the network. We demonstrate our architecture on the use case of transforming the integer factorization problem to SAT.
This paper presents a hybrid blockchain-edge architecture for managing Electronic Health Records (EHRs) with attribute-based cryptographic mechanisms. The architecture introduces a novel attribute-based signature aggregation (ABSA) scheme and multi-authority attribute-based encryption (MA-ABE) integrated with Paillier homomorphic encryption (HE) to protect patients' anonymity and safeguard their EHRs. All the EHR activities and access control events are recorded permanently as blockchain transactions. We develop the ABSA module on Hyperledger Ursa cryptography library, MA-ABE module on OpenABE toolset, and blockchain network on Hyperledger Fabric. We measure the execution time of ABSA's signing and verification functions, MA-ABE with different access policies and homomorphic encryption schemes, and compare the results with other existing blockchain-based EHR systems. We validate the access activities and authentication events recorded in blockchain transactions and evaluate the transaction throughput and latency using Hyperledger Caliper. The results show that the performance meets real-world scenarios' requirements while safeguarding EHR and is robust against unauthorized retrievals.
European Union financing through the different financing mechanisms and
programs of the European Union can present a competitive advantage for business startups. More specifically, European Union financing can help bring to the world and the
markets projects which would have not otherwise seen the light by simply relying on
markets, due to unavailable or insufficient financing for incipient businesses.
The area of Central and Eastern Europe by comparison to Western Europe can be
generally seen as a more fertile ground for business start-ups because the markets are less
crowded by experienced or technologically driven businesses. Legislation, traditions, ways
of doing business are also different and heterogeneous. As such, the area can be seen from
a macroeconomic point of view as strategically important for business start-ups in the
European Union and the European Union can be a differentiating financing partner for the
incipient businesses in the area. As such, a symbiosis between the two can be found if the
European Union financing programs can either discover, triage and invest into businesses
which are either socially beneficial or economically and financially profitable in the long
term.
This paper aims to explore what kinds of businesses European Union funding can
target and arguments why these options are economically viable.
Economics as a science, Business records management
The article substantiates the catastrophic consequences of the Russian military invasion of Ukraine, which led to the industrial crisis in the world. The need to restore the agricultural sector of the economy as soon as possible, in particular the lost or destroyed supply chains of agricultural products in the postwar period, is argued, primarily through the introduction of digital opportunities in the business processes of agricultural enterprises. The work of farmers on the ground, in fact, under the flight of missiles and fighters overhead, with long delays due to the preliminary inspection of soils by sappers, could not but affect the export of agricultural products. Although the situation with food exports before the war with Russia looked quite optimistic: in the previous year a record wheat harvest was harvested, corn harvest increased significantly, positive forecasts for food crops in the coming periods were expected. At the same time, the authors state that the introduction of quarantine measures in connection with the global pandemic has not led to a significant negative impact on the state of the agricultural sector in Ukraine. This is due to the specifics of the work of agricultural enterprises, which is carried out mainly on agricultural land, which allowed the agribusiness to reduce additional costs for compliance with the new mandatory sanitary requirements. At the same time, the global pandemic has accelerated the process of digitalization in the agricultural sector through the introduction and daily use of domestic electronic document management by agricultural enterprises, holding meetings and meetings through online platforms for video conferencing, corporate portals and others. In addition, agricultural holdings were able to quickly adapt to new working conditions through the active introduction of business processes before the spread of the global pandemic of electronic markings in agricultural production, cameras, monitors, sensors, GPS trackers, unmanned aerial vehicles. The study substantiates the view that with strong support for the development of digital agribusiness capabilities, it will be possible to further improve the process of sowing on agricultural land that was not destroyed during the war and in regions where the logistics of seed supply has not been paralyzed. As a result, there is reason to talk about the development of digital farming as a way of farming using the technologies needed to integrate financial and field records for further integrated management of the farm. However, it will significantly depend on the readiness of farmers to comprehensive digitalization of economic activity.
Nanang Adie Setyawan, Hadiahti Utami, Bayu Setyo Nugroho
et al.
This study set out to determine what motivated SMEs in Semarang City to undertake green supply chain management during the COVID-19 and New Normal pandemics. The purposive sampling approach was used as the sampling methodology in this investigation. There are 100 respondents in the research samples. The AMOS 24.0 program's structural equation modelling (SEM) is used in this research method. According to the study's findings, the Strategic Orientation variable significantly and favourably affects the Green Supply Chain Management variable expected to have a value of 0.945, and the Government Regulation variable has a positive and strong influence on the variable Green Supply Chain Management with an estimated value of 0.070, the Green Supply Chain Management variable with an estimated value of has a positive and significant impact on the environmental performance variable. 0.504, the Strategic Orientation variable with an estimated value of has a positive and significant impact on the environmental performance variable. 0.442, The Environmental Performance variable is directly impacted positively and significantly by the Government Regulation variable, with an estimated value of 0.041. This significant positive influence is because SMEs in Semarang City have government regulations, along with government support for facilities regarding efforts to implement the concept of environmental concern, causing high environmental performance caused by the optimal implementation of Green supply chain management is built on a collaboration between the government and the supply chain's participants.
Marlon Dumas, Fabiana Fournier, Lior Limonad
et al.
AI-Augmented Business Process Management Systems (ABPMSs) are an emerging class of process-aware information systems, empowered by trustworthy AI technology. An ABPMS enhances the execution of business processes with the aim of making these processes more adaptable, proactive, explainable, and context-sensitive. This manifesto presents a vision for ABPMSs and discusses research challenges that need to be surmounted to realize this vision. To this end, we define the concept of ABPMS, we outline the lifecycle of processes within an ABPMS, we discuss core characteristics of an ABPMS, and we derive a set of challenges to realize systems with these characteristics.
Penelitian ini memiliki tujuan untuk melihat hal-hal yang mempengaruhi kinerja karyawan yakni kepemimpinan, work from home sebagai pemoderasi dan dan dukungan perusahaan sebagai mediasi. Literatur yang digunakan dalam membangun model penelitian ini antara lain yang berkaitan dengan kepemimpinan, kemudian untuk kinerja karyawan adalah konsep yang berkaitan dengan manajemen kinerja, selanjutnya untuk work from home digunakan konsep flexible working arrangement dan terakhir dukungan perusahaan yang juga mengacu pada konsep dukungan perusahaan. Metode penelitian dengan pendekatan kuantitatif, dengan pengambilan sampel secara acak pada responden yang bekerja di perusahaan non esensial di Jakarta, kemudian diolah menggunakan pendekatan variance based structural equation modelling. Hasil yang diperoleh menunjukkan bahwa kepemimpinan mempengaruhi kinerja karyawan di perusahaan non esensial, kemudian tidak didapat bukti bahwa dukungan perusahaan tidak terbukti mempengaruhi kinerja karyawan di perusahaan non esensial, selain itu work from home sebagai pemoderasi dan dukungan perusahaan tidak terbukti sebagai pemediasi kepemimpinan dan kinerja karyawan. Implikasi dari hasil penelitian ini adalah pada perusahaan non esensial perlu mencari formula selain dukungan perusahaan dan praktik work from home dalam hal mendorong kinerja karyawan, namun demikian kepemimpinan memiliki pengaruh terhadap kinerja khususnya di perusahaan non esensial, sehingga sisi kepemimpinan dianggap perlu untuk dioptimalkan.
Territorial inequality is a serious obstacle to the socio-economic development of any country. Therefore, to reduce poverty, unemployment, and improve the well-being of the population, not only the intensification of economic activity in the country is needed, but also the provision of its territorial inclusion. However, as natural and scientifically explicable these causes are, their consequences are undesirable, exacerbating tensions in all spheres of public life and giving rise to instability, crises, unemployment and poverty. At the same time, the deepening of territorial disparities is even more worrying in developing countries and countries with economies in transition, where disproportionate territorial economic development, in the absence of funding, also leads to social stratification. The article discusses the territorial disparities of the Republic of Armenia in the context of socio-economic development. In order to reveal the existing asymmetries between the capital Yerevan and other regions, we have developed a system of socio-economic indicators, on the basis of which sectoral indices have been calculated for the whole country, as well as for its separate regions. Then, the mentioned system of indicators was used for cluster analysis by regions, as a result of which they were classified into 4 main groups.
Economics as a science, Business records management
Learning meaningful representations of data is an important aspect of machine learning and has recently been successfully applied to many domains like language understanding or computer vision. Instead of training a model for one specific task, representation learning is about training a model to capture all useful information in the underlying data and make it accessible for a predictor. For predictive process analytics, it is essential to have all explanatory characteristics of a process instance available when making predictions about the future, as well as for clustering and anomaly detection. Due to the large variety of perspectives and types within business process data, generating a good representation is a challenging task. In this paper, we propose a novel approach for representation learning of business process instances which can process and combine most perspectives in an event log. In conjunction with a self-supervised pre-training method, we show the capabilities of the approach through a visualization of the representation space and case retrieval. Furthermore, the pre-trained model is fine-tuned to multiple process prediction tasks and demonstrates its effectiveness in comparison with existing approaches.
Nicholas Dacre, Panos Constantinides, Joe Nandhakumar
Organisations are currently lacking in developing and implementing business systems in meaningful ways to motivate and engage their staff. This is particularly salient as the average employee spends eleven cumulative years of their life at work, however less than one third of the workforce are actually engaged in their duties throughout their career. Such low levels of engagement are particularly prominent with younger employees, referred to as Generation Y (GenY), who are the least engaged of all groups at work. However, they will dedicate around five cumulative years of their life immersed playing video games such as Clash of Clans, whether for social, competitive, extrinsic, or intrinsic motivational factors. Using behavioural concepts derived from video games, and applying game design elements in business systems to motivate employees in the digital economy, is a concept which has come to be recognised as Business Gamification. Thus, the purpose of this research paper is to further our understanding of game design elements for business, and investigate their properties from design to implementation in gamified systems. Following a two-year ethnographic style study with both a system development, and a communication agency largely staffed with GenY employees, findings suggest properties in game design elements are emergent and temporal in their instantiations.