Applications of Blockchain in Business Processes: A Comprehensive Review

Blockchain (BC), as an emerging technology, is revolutionizing Business Process Management (BPM) in multiple ways. The main adoption is to serve as a trusted infrastructure to guarantee the trust of collaborations among multiple partners in trustless environments. Especially, BC enables trust of information by using Distributed Ledger Technology (DLT). With the power of smart contracts, BC enforces the obligations of counterparties that transact in a business process (BP) by programming the contracts as transactions. This paper aims to study the state-of-the-art of BC technologies by (1) exploring its applications in BPM with the focus on how BC provides the trust of BPs in their lifecycles; (2) identifying the relations of BPM as the need and BC as the solution with the assessment towards BPM characteristics; (3) discussing the up-to-date progresses of critical BC in BPM; (4) identifying the challenges and research directions for future advancement in the domain. The main conclusions of our comprehensive review are (1) the study of adopting BC in BPM has attracted a great deal of attention that has been evidenced by a rapidly growing number of relevant articles. (2) The paradigms of BPM over Internet of Things (IoT) have been shifted from persistent to transient, from static to dynamic, and from centralized to decentralized, and new enabling technologies are highly demanded to fulfill some emerging functional requirements (FRs) at the stages of design, configuration, diagnosis, and evaluation of BPs in their lifecycles. (3) BC has been intensively studied and proven as a promising solution to assure the trustiness for both of business processes and their executions in decentralized BPM. (4) Most of the reported BC applications are at their primary stages, future research efforts are needed to meet the technical challenges involved in interoperation, determination of trusted entities, confirmation of time-sensitive execution, and support of irreversibility

A Taxonomy of Data Grids for Distributed Data Sharing, Management and Processing

Data Grids have been adopted as the platform for scientific communities that need to share, access, transport, process and manage large data collections distributed worldwide. They combine high-end computing technologies with high-performance networking and wide-area storage management techniques. In this paper, we discuss the key concepts behind Data Grids and compare them with other data sharing and distribution paradigms such as content delivery networks, peer-to-peer networks and distributed databases. We then provide comprehensive taxonomies that cover various aspects of architecture, data transportation, data replication and resource allocation and scheduling. Finally, we map the proposed taxonomy to various Data Grid systems not only to validate the taxonomy but also to identify areas for future exploration. Through this taxonomy, we aim to categorise existing systems to better understand their goals and their methodology. This would help evaluate their applicability for solving similar problems. This taxonomy also provides a "gap analysis" of this area through which researchers can potentially identify new issues for investigation. Finally, we hope that the proposed taxonomy and mapping also helps to provide an easy way for new practitioners to understand this complex area of research.Comment: 46 pages, 16 figures, Technical Repor

Model driven validation approach for enterprise architecture and motivation extensions

As the endorsement of Enterprise Architecture (EA) modelling continues to grow in diversity and complexity, management of its schema, artefacts, semantics and relationships has become an important business concern. To maintain agility and flexibility within competitive markets, organizations have also been compelled to explore ways of adjusting proactively to innovations, changes and complex events also by use of EA concepts to model business processes and strategies. Thus the need to ensure appropriate validation of EA taxonomies has been considered severally as an essential requirement for these processes in order to exert business motivation; relate information systems to technological infrastructure. However, since many taxonomies deployed today use widespread and disparate modelling methodologies, the possibility to adopt a generic validation approach remains a challenge. The proliferation of EA methodologies and perspectives has also led to intricacies in the formalization and validation of EA constructs as models often times have variant schematic interpretations. Thus, disparate implementations and inconsistent simulation of alignment between business architectures and heterogeneous application systems is common within the EA domain (Jonkers et al., 2003). In this research, the Model Driven Validation Approach (MDVA) is introduced. MDVA allows modelling of EA with validation attributes, formalization of the validation concepts and transformation of model artefacts to ontologies. The transformation simplifies querying based on motivation and constraints. As the extended methodology is grounded on the semiotics of existing tools, validation is executed using ubiquitous query language. The major contributions of this work are the extension of a metamodel of Business Layer of an EAF with Validation Element and the development of EAF model to ontology transformation Approach. With this innovation, domain-driven design and object-oriented analysis concepts are applied to achieve EAF model’s validation using ontology querying methodology. Additionally, the MDVA facilitates the traceability of EA artefacts using ontology graph patterns

Measuring open innovation practices through topic modelling: Revisiting their impact on firm financial performance

Despite the popularity of open innovation in recent years, studies examining the impact of open innovation upon firm performance have shown mixed results. Previous empirical work on this topic is often based on surveys or archival sources, usually done either in isolation or in aggregate through employing proxy measures. In contrast, we employ an unsupervised learning technique (i.e., topic modelling) utilizing natural language processing to extract information on companies’ open innovation practices, creating an initial keyword basket for future development. We then revisit the relationship between open innovation practices and financial performance of firms. The results show that a firm’s overall openness level is associated with improved financial performance. More granular practices developed from our approach, however, show variations. The inverted U-shaped relationships are observed in specific open innovation practices but not in all, partly supporting the existence of the openness paradox from prior literature. The complementarity between internal R&D and individual open innovation practices also varies by practice. Further, the influence of these open innovation practices also varies by sector. Our findings prompt us to conclude that open innovation’s impact on financial performance is nuanced, and that there is no uniform set of best practices to practice open innovation effectively

Fostering Distributed Business Logic in Open Collaborative Networks: an integrated approach based on semantic and swarm coordination

Given the great opportunities provided by Open Collaborative Networks (OCNs), their success depends on the effective integration of composite business logic at all stages. However, a dilemma between cooperation and competition is often found in environments where the access to business knowledge can provide absolute advantages over the competition. Indeed, although it is apparent that business logic should be automated for an effective integration, chain participants at all segments are often highly protective of their own knowledge. In this paper, we propose a solution to this problem by outlining a novel approach with a supporting architectural view. In our approach, business rules are modeled via semantic web and their execution is coordinated by a workflow model. Each company’s rule can be kept as private, and the business rules can be combined together to achieve goals with defined interdependencies and responsibilities in the workflow. The use of a workflow model allows assembling business facts together while protecting data source. We propose a privacy-preserving perturbation technique which is based on digital stigmergy. Stigmergy is a processing schema based on the principle of self-aggregation of marks produced by data. Stigmergy allows protecting data privacy, because only marks are involved in aggregation, in place of actual data values, without explicit data modeling. This paper discusses the proposed approach and examines its characteristics through actual scenarios

The Semantic Grid: A future e-Science infrastructure

e-Science offers a promising vision of how computer and communication technology can support and enhance the scientific process. It does this by enabling scientists to generate, analyse, share and discuss their insights, experiments and results in an effective manner. The underlying computer infrastructure that provides these facilities is commonly referred to as the Grid. At this time, there are a number of grid applications being developed and there is a whole raft of computer technologies that provide fragments of the necessary functionality. However there is currently a major gap between these endeavours and the vision of e-Science in which there is a high degree of easy-to-use and seamless automation and in which there are flexible collaborations and computations on a global scale. To bridge this practice–aspiration divide, this paper presents a research agenda whose aim is to move from the current state of the art in e-Science infrastructure, to the future infrastructure that is needed to support the full richness of the e-Science vision. Here the future e-Science research infrastructure is termed the Semantic Grid (Semantic Grid to Grid is meant to connote a similar relationship to the one that exists between the Semantic Web and the Web). In particular, we present a conceptual architecture for the Semantic Grid. This architecture adopts a service-oriented perspective in which distinct stakeholders in the scientific process, represented as software agents, provide services to one another, under various service level agreements, in various forms of marketplace. We then focus predominantly on the issues concerned with the way that knowledge is acquired and used in such environments since we believe this is the key differentiator between current grid endeavours and those envisioned for the Semantic Grid

Aligning business processes and IT of multiple collaborating organisations

When multiple organisations want to collaborate with one another they have to integrate their business processes. This requires aligning the collaborative business processes and the underlying IT (Information Technology). Realizing the required alignment is, however, not trivial and is the subject of this thesis. We approached the issue of alignment in three steps. First, we explored business-IT alignment problems in detail in a real-life business case. This is done in order to clarify what alignment of business processes and IT systems across a collaboration network entails. Second, we provided a business-IT alignment framework called BITA* (pronounce bita-star). The framework provides modelling abstractions for alignment. Third, we applied the framework in two real-life case studies, including the real-life business case used in step one. By applying the framework in practice we showed that the framework can, in fact, help to address the business-IT alignment problems that we identified in the first step. The work presented in this thesis is conducted over a number of years in the context of four large EU sponsored research projects. The projects focused on alignment problems in two very distinct application areas. Two projects were about realizing transparency systems for meat supply chains and constitute the first case study. The other two projects were about realizing multidisciplinary modelling collaboration systems and constitute the second case study. Although the projects were conducted sequentially the research questions were addressed iteratively over the years. The research methodology that shows how the framework is designed and how the case studies are applied is discussed in detail in chapter 2. In chapter 3 we present BITA*, a Business-IT Alignment framework for multiple collaborating organisations. The main challenges in designing BITA* have been what models to consider for alignment and how to compare them in order to make explicit statements about alignment. We addressed this problem by introducing allocation and alignment modelling constructs to help the alignment process, and the concept of business collaboration model to represent the models that have to be aligned. We identified three groups of stakeholders for whom we designed explicit design viewpoints and associated allocation and alignment models. The Business Process to Business Process (BP2BP) alignment viewpoint is designed for business analysts who have to align diverse business collaboration process models. The IT to IT (IT2IT) alignment viewpoint is designed for software architects to align the distribution of data and IT systems across a collaboration network. The Business Process to IT (BP2IT) alignment viewpoint is designed for an interdisciplinary team of business analysts and software architects who have to align the different ways of supporting business collaboration processes with distributed IT system. An essential element of this thesis has been elaborating how business-IT alignment problems occur in the context of multi-organisational collaboration. The case studies were used to demonstrate business-IT alignment concerns. Particularly, the details of the first case study presented in chapters 4 and 5 were used in chapter 3 to help derive the alignment framework. The case study presented an ideal problem scenario since realizing transparency across supply chains is intrinsically a collaborative effort. The second case study was used to enhance the validity of our approach. The results of the second case study are presented in chapter 6. The alignment framework was designed during the iterative process we followed when realizing a generic transparency system for meat supply chains. To realize the required generic transparency system we needed a reference architecture. To derive the reference architecture we adapted an already existing and broadly-accepted generic reference architecture. We have to adapt the generic reference architecture in order to address specific requirements of the meat sector that were not considered in the generic reference architecture. The adaptation process made it clear that we needed models for representing business collaborations. We, therefore, introduced the notion of business collaboration model, which we used both to model reference architectures and to adapt them. Adaptation required aligning the generic reference architecture with the diverse business collaboration models adopted by the organisations that have to collaborate. The alignment framework is thus used for adapting a generic reference architecture in order to create a reference architecture that the collaborating organisations can, and are willing to, adopt. We identified three types of business collaboration models: business collaboration process model, business collaboration IT model, and a model for representing the relationship between these two. A business collaboration process model is a business process model that spans a collaboration network. A business collaboration IT model is a model of the distribution of the IT across the collaboration network. A business collaboration process-IT model is a model of the relationships between the elements of the business collaboration processes and the elements of the distributed IT. Each organisation is considered to adopt its own business collaboration models. For instance, different actors in meat supply chains have different views on how chain-wide transparency should be realized. Which business processes and IT systems each organisation has to deploy and use depends on the business collaboration models each food operator adopts. If two different food operators adopt the same set of business collaboration models, they are aligned; otherwise they are misaligned. Hence, alignment entails comparing the different business collaboration models adopted by the participating organisations. The results of the alignment process are explicit statements about how convergent or divergent the organisations are from the chosen generic reference architecture. The explicit statements of alignment guide how best the generic and the corresponding organisational business collaboration models can be adapted to create a better state of alignment. To further enhance the validity of the overall approach the second case study was conducted. The second case study was a retrospective investigation of two past research projects focusing on aligning environmental modelling processes and IT systems. A retrospective case study was chosen because launching a new business-IT alignment project involving multiple collaborating organisations was not feasible. The projects were undertaken to support the European Water Framework Directive, which mandated, among other things, participatory, multidisciplinary, river-basin wide and model-based studies to manage the water resources of Europe. The directive particularly required a collaborative approach to building environmental decision support systems and to deriving methodologies for applying existing decision support systems. We applied BITA* to aligning environmental modelling processes and IT systems in order to evaluate the suitability of the framework to addressing alignment problems in other application areas. The contributions of the thesis are summarized in chapter 7. The contributions include a number of design artefacts, which can be grouped into four categories: constructs, models, methods, and instantiations. The contribution in the first category includes the conceptualization of allocation and alignment. The contributions in the second category include allocation and alignment models, and reference architectures. Allocation models are representations of business collaboration models in a form that can be compared and are the basis for alignment modelling. The main contribution in the third category is the BITA* systematic approach to alignment modelling. The contributions in the fourth category are the software systems developed with the help of the reference architectures.</p