A reference requirements set for public service provision enterprise architectures

Electronic Government (eGov) is a political priority worldwide. One of the core objectives of eGov is the online public services provision (PSP). However, many of eGov PSP systems fail in realizing their objectives. Enterprise Architectures (EA) could contribute to overcome some of the relevant obstacles. The objective of this paper is to derive a reference requirements set for eGov PSP that can be used in EA development. Aiming at capitalizing on existing knowledge, we conduct a systematic literature review on eGov PSP systems requirements. This results in identifying a unified requirements set, i.e. 186 requirements, and stakeholders set, i.e. 19 stakeholders, for eGov PSP systems. Based on these findings, we determine 16 overview use cases demonstrating the basic functionality of such systems. Our findings are modeled using ArchiMate 2.0 notation. The identified requirements set can be used by virtually any public organization providing public services for developing its own EA. As a result, it can lead to the reduction of eGov PSP project failures, the decrease of software development costs and the improvement of its effectiveness and quality. Furthermore, it can be used as a basis to develop a complete reference EA for the eGov PSP domain.     

A situational method for semi-automated Enterprise Architecture Documentation

The business capabilities of modern enterprises crucially rely on the enterprises’ information systems and underlying IT infrastructure. Hence, optimization of the business-IT alignment is a key objective of Enterprise Architecture Management (EAM). To achieve this objective, EAM creates, maintains and analyzes a model of the current state of the Enterprise Architecture. This model covers different concepts reflecting both the business and the IT perspective and has to be constantly maintained in response to ongoing transformations of the enterprise. In practice, EA models grow large and are difficult to maintain, since many stakeholders from various backgrounds have to contribute architecture-relevant information. EAM literature and two practitioner surveys conducted by the authors indicate that EA model maintenance, in particular the manual documentation activities, poses one of the biggest challenges to EAM in practice. Current research approaches target the automation of the EA documentation based on specific data sources. These approaches, as our systematic literature review showed, do not consider enterprise specificity of the documentation context or the variability of the data sources from organization to organization. The approach presented in this article specifically accounts for these factors and presents a situational method for EA documentation. It builds on four process-supported documentation techniques which can be selected, composed and applied to design an organization-specific documentation process. The techniques build on a meta-model for EA documentation, which is implemented in an EA-repository prototype that supports the configuration and execution of the documentation techniques. We applied our documentation method assembly process at a German insurance company and report the findings from this case study in particular regarding practical applicability and usability of our approach.     

Building nation-wide information infrastructures in healthcare through modular implementation strategies

Initiatives that seek to realize the vision of nation-wide information infrastructures (II) in healthcare have often failed to achieve their goals. In this paper, we focus on approaches used to plan, conduct, and manage the realization of such visions. Our empirical material describes two Danish initiatives, where a national project failed to deliver interoperable Electronic Patient Record (EPR) systems while a small, local solution grew and now offers a nation-wide solution for sharing patient record information. We apply II theory, specifically the five design principles proposed by Hanseth and Lyytinen, to contrast the organization and implementation strategies of the two projects. Our findings highlight how implementation strategies differ with respect to how stakeholders are mobilized. We argue that the realization of nation-wide IIs for healthcare not only requires a gradual transition of the installed base, which current II theory advocates. Here we articulate and exemplify a modular implementation strategy as an approach that also addresses the challenges related to mobilization and organization of multiple stakeholders.     

Trends in distributed artificial intelligence

Distributed artificial intelligence (DAI) is a subfield of artificial intelligence that deals with interactions of intelligent agents. Precisely, DAI attempts to construct intelligent agents that make decisions that allow them to achieve their goals in a world populated by other intelligent agents with their own goals. This paper discusses major concepts used in DAI today. To do this, a taxonomy of DAI is presented, based on the social abilities of an individual agent, the organization of agents, and the dynamics of this organization through time. Social abilities are characterized by the reasoning about other agents and the assessment of a distributed situation. Organization depends on the degree of cooperation and on the paradigm of communication. Finally, the dynamics of organization is characterized by the global coherence of the group and the coordination between agents. A reasonably representative review of recent work done in DAI field is also supplied in order to provide a better appreciation of this vibrant AI field. The paper concludes with important issues in which further research in DAI is needed.     

A theory building study of enterprise architecture practices and benefits

Academics and practitioners have made various claims regarding the benefits that Enterprise Architecture (EA) delivers for both individual projects and the organization as a whole. At the same time, there is a lack of explanatory theory regarding how EA delivers these benefits. Moreover, EA practices and benefits have not been extensively investigated by empirical research, with especially quantitative studies on the topic being few and far between. This paper therefore presents the statistical findings of a theory-building survey study (n?=?293). The resulting PLS model is a synthesis of current implicit and fragmented theory, and shows how EA practices and intermediate benefits jointly work to help the organization reap benefits for both the organization and its projects. The model shows that EA and EA practices do not deliver benefits directly, but operate through intermediate results, most notably compliance with EA and architectural insight. Furthermore, the research identifies the EA practices that have a major impact on these results, the most important being compliance assessments, management propagation of EA, and different types of knowledge exchange. The results also demonstrate that projects play an important role in obtaining benefits from EA, but that they generally benefit less than the organization as a whole.     

Zen-ReqOptimizer: a search-based approach for requirements assignment optimization

At early phases of a product development lifecycle of large scale Cyber-Physical Systems (CPSs), a large number of requirements need to be assigned to stakeholders from different organizations or departments of the same organization for review, clarification and checking their conformance to standards and regulations. These requirements have various characteristics such as extents of importance to the organization, complexity, and dependencies between each other, thereby requiring different effort (workload) to review and clarify. While working with our industrial partners in the domain of CPSs, we discovered an optimization problem, where an optimal solution is required for assigning requirements to various stakeholders by maximizing their familiarity to assigned requirements, meanwhile balancing the overall workload of each stakeholder. In this direction, we propose a fitness function that takes into account all the above-mentioned factors to guide a search algorithm to find an optimal solution. As a pilot experiment, we first investigated four commonly applied search algorithms (i.e., GA, (1 + 1) EA, AVM, RS) together with the proposed fitness function and results show that (1 + 1) EA performs significantly better than the other algorithms. Since our optimization problem is multi-objective, we further empirically evaluated the performance of the fitness function with six multi-objective search algorithms (CellDE, MOCell, NSGA-II, PAES, SMPSO, SPEA2) together with (1 + 1) EA (the best in the pilot study) and RS (as the baseline) in terms of finding an optimal solution using an real-world case study and 120 artificial problems of varying complexity. Results show that both for the real-world case study and the artificial problems (1 + 1) EA achieved the best performance for each single objective and NSGA-II achieved the best performance for the overall fitness. NSGA-II has the ability to solve a wide range of problems without having their performance degraded significantly and (1 + 1) EA is not fit for problems with less than 250 requirements Therefore we recommend that, if a project manager is interested in a particular objective then (1 + 1) EA should be used; otherwise, NSGA-II should be applied to obtain optimal solutions when putting the overall fitness as the first priority.     

Recent developments in the organization goals conformance using ontology

Organizational goals serve as the most important achievement target in every organization. Even though some researchers have developed the concept of the organization goals, but structuring the organization goals model is always questionable by the way it is being used. In this paper, we propose ontology to develop a unified model for the organization goals structure. We review the recent literature on the organization modelling and ontology development as an effort to evaluate the organization goals using a metrics for the achievement of the organization goals. We suggest that the metrics is important to identify the relevant organization data in relation to the organization goals conformance. In order to achieve this purpose, we investigate various associated concepts and organize the literature based on the organization goals, organization ontology and metrics model. We observe our proposed models are important for domain experts and entrepreneurs to evaluate the relevant organization data and to assist them in decision making. In summary, the contribution of this survey may serve as a first step in understanding the evaluation of the organization data for the achievement of the organization goals.     

CorpWiki: A self-regulating wiki to promote corporate collective intelligence through expert peer matching

One of the main challenges that organizations face nowadays, is the efficient use of individual employee intelligence, through machine-facilitated understanding of the collected corporate knowledge, to develop their collective intelligence. Web 2.0 technologies, like wikis, can be used to address the above issue. Nevertheless, their application in corporate environments is limited, mainly due to their inability to ensure knowledge creation and assessment in a timely and reliable manner. In this study we propose CorpWiki, a self-regulating wiki system for effective acquisition of high-quality knowledge content. Inserted articles undergo a quality assessment control by a large number of corporate peer employees. In case the quality is inadequate, CorpWiki uses a novel expert peer matching algorithm (EPM), based on feed-forward neural networks, that searches the human network of the organization to select the most appropriate peer employee who will improve the quality of the article. Performance evaluation results, obtained through simulation modeling, indicate that CorpWiki improves the final quality levels of the inserted articles as well as the time and effort required to reach them. The proposed system, combining machine-learning intelligence with the individual intelligence of peer employees, aims to create new inferences regarding corporate issues, thus promoting the collective organizational intelligence.     

So, You Think You Know Others' Goals? A Repertory Grid Study

Recent research in requirements engineering (RE) has generated a number of notations for modeling stakeholders' goals and the relationships between them. However, the community has paid little attention to how stakeholders can develop consensus on the meaning of the goals in a goal model. In this article, we show how to use the repertory grid technique (RGT) to compare stakeholders' terms when they describe their softgoals (goals whose satisfaction can't be established in a clear-cut sense). We conducted a pilot study for a nonprofit organization to demonstrate our approach. The study shows that the technique can readily identify agreements and mismatches in stakeholders' terminologies and can be performed without preliminary training or specific resources     

Modeling development process of skill-based system for human-like manipulation robot

The importance of system integration is widely recognized in robotics. This motivates the application of Model-Based Systems Engineering (MBSE) approaches to improve the development process of robot systems. This paper models a development process to achieve given task goals using a human-like upper body robot based on MBSE approach. For this purpose, we focus on the domain knowledge of tasks and skills in robotics. Since MBSE is a general methodology, there is a lot of flexibility on the way of proceeding with the analysis and design, and how to utilize models there. Using the concept of tasks and skills is helpful for better uderstanding of the development process. Our process is based on three main concepts: (1) stakeholders of User and Developer, (2) coordination between User and Developer using skills as communication interface, (3) extension development. Making the process explicit helps many stakeholders such as robot makers, system integrators, and engineers in various application domains to join the system development. It is also effective for accumulating experiences and work products of the development. In addition, we can expect that better understanding of the engineering process results in the improvement of the process performed by automation tools and humans cooperatively.     

Organizational Commitment and Engagement in Two Finnish Energy Sector Organizations

This study was conducted to show a novel way to analyze organizational commitment and engagement levels in organizations and to compare the results of two Finnish organizations operating in the energy sector. Employees estimate the truth value of statements with regard to their own organization at a given moment in time. The employees also specify how they would like the situation represented by the statements to be in the future. In this study, we requested participation from a total of 90 senior salaried employees from two companies in the spring of 2014. In the end, we obtained 54 responses in total, giving us a response rate of 88% for Company A and 25% for Company B. On the basis of the responses, a collective understanding of each organization was first defined, and then a comparison was made between these two organizations. The results of these comparisons show that there are similarities between the companies, even though the degree of affective commitment was significantly higher in one of the companies. However, both companies had similar focus points and priorities in the current state, target state, and proactive vision. On the other hand, the study also discovered that there were major differences regarding some of the evaluated features, as expected. As a result of the analysis, important areas of development were observed in both companies.     

IT governance challenges in a large not-for-profit healthcare organization: The role of intranets

This paper reports on the implementation of IT governance in a not-for-profit healthcare organization and considers how managerial strategies for this governance relate to the progressive management approach commonly called the Horizontal Organization. Discussion includes how IT governance was implemented and the mechanisms by which power and politics in the organization were harnessed to achieve strategic goals. In this case study, CEO support for IT governance was related principally to the need for fiscal accountability regarding IT investment aligned to the strategic goals of the organization. The case study showed real organizational gains in achieving best value for the investment dollar, accountable time-frames and cost-controls. The move enhanced the professional status of the IT Department, including more widespread acknowledgement for fairness and equity in its processes, an outcome commonly associated with horizontal management structures.     

Modeling stakeholders for information systems design processes

In the software engineering area, stakeholders play a significant role in requirements elicitation and validation. Moreover, all the project management is integrally affected by stakeholders’ perspectives and their participation. This effect is strengthened when projects involve several organizations. Thus, a clear and explicit representation of the stakeholders and their attributes is required in order to achieve their effective management. The integration of this representation with other models capturing the knowledge of engineering design processes can be of great utility in software development projects. In this sense, this article describes the construction of an integrated model for representing stakeholders in information systems design processes. This proposal considers diverse attributes related to stakeholders and gives information for performing quantitative calculations about their interest and influence over the project. Thus, more inclusive experiences of the information systems development can be supported, even more if contexts with the participation of several organizations are considered.     

Formal reasoning for analyzing goal models that evolve over time

Requirements Engineering - In early-phase requirements engineering, modeling stakeholder goals and intentions helps stakeholders understand the problem context and evaluate tradeoffs, by exploring...     

Towards the automatic and optimal selection of risk treatments for business processes using a constraint programming approach

ContextThe use of Business Process Management Systems (BPMS) has emerged in the IT arena for the automation of business processes. In the majority of cases, the issue of security is overlooked by default in these systems, and hence the potential cost and consequences of the materialization of threats could produce catastrophic loss for organizations. Therefore, the early selection of security controls that mitigate risks is a real and important necessity. Nevertheless, there exists an enormous range of IT security controls and their configuration is a human, manual, time-consuming and error-prone task. Furthermore, configurations are carried out separately from the organization perspective and involve many security stakeholders. This separation makes difficult to ensure the effectiveness of the configuration with regard to organizational requirements.ObjectiveIn this paper, we strive to provide security stakeholders with automated tools for the optimal selection of IT security configurations in accordance with a range of business process scenarios and organizational multi-criteria.MethodAn approach based on feature model analysis and constraint programming techniques is presented, which enable the automated analysis and selection of optimal security configurations.ResultsA catalogue of feature models is determined by analyzing typical IT security controls for BPMSs for the enforcement of the standard goals of security: integrity, confidentiality, availability, authorization, and authentication. These feature models have been implemented through constraint programs, and Constraint Programming techniques based on optimized and non-optimized searches are used to automate the selection and generation of configurations. In order to compare the results of the determination of configuration a comparative analysis is given.ConclusionIn this paper, we present innovative tools based on feature models, Constraint Programming and multi-objective techniques that enable the agile, adaptable and automatic selection and generation of security configurations in accordance with the needs of the organization.     

GARUSO: a gamification approach for involving stakeholders outside organizational reach in requirements engineering

Stakeholder participation is a key success factor of Requirements Engineering (RE). Typically, the techniques used for identifying and involving stakeholders in RE assume that stakeholders can be identified among the members of the organizations involved when a software system is ordered, developed or maintained—and that these stakeholders can be told or even mandated to contribute. However, these assumptions no longer hold for many of today’s software systems where significant stakeholders (in particular, end-users and people affected by a system) are outside organizational reach: They are neither known nor can they easily be identified in the involved organizations nor can they be told to participate in RE activities. We have developed the GARUSO approach to address this problem. It uses a strategy for identifying stakeholders outside organizational reach and a social media platform that applies gamification for motivating these stakeholders to participate in RE activities. In this article, we describe the GARUSO approach and report on its empirical evaluation. We found that the identification strategy attracted a crowd of stakeholders outside organizational reach to the GARUSO platform and motivated them to participate voluntarily in collaborative RE activities. From our findings, we derived a first set of design principles on how to involve stakeholders outside organizational reach in RE. Our work expands the body of knowledge on crowd RE regarding stakeholders outside organizational reach.

     

RCDA: Architecting as a risk- and cost management discipline

We propose to view architecting as a risk- and cost management discipline. This point of view helps architects identify the key concerns to address in their decision making, by providing a simple, relatively objective way to assess architectural significance. It also helps business stakeholders to align the architect's activities and results with their own goals. We examine the consequences of this point of view on the architecture process. The point of view is the basis of RCDA, the Risk- and Cost Driven Architecture approach. So far, more than 150 architects have received RCDA training. For a majority of the trainees, RCDA has a significant positive impact on their architecting work.     

Investigation of individual factors impacting the effectiveness of requirements inspections: a replicated experiment

This paper presents a replication of an empirical study regarding the impact of individual factors on the effectiveness of requirements inspections. Experimental replications are important for verifying results and investigating the generality of empirical studies. We utilized the lab package and procedures from the original study, with some changes and additions, to conduct the replication with 69 professional developers in three different companies in Turkey. In general the results of the replication were consistent with those of the original study. The main result from the original study, which is supported in the replication, was that inspectors whose degree is in a field related to software engineering are less effective during a requirements inspection than inspectors whose degrees are in other fields. In addition, we found that Company, Experience, and English Proficiency impacted inspection effectiveness.     

Challenges and obstacles in sharing and coordinating information during multi-agency disaster response: Propositions from field exercises

Although various scholars have researched issues regarding disaster management, few have studied the sharing and coordinating of information during disasters. Not much empirical data is available in this field and there is sparse insight into the factors that may impede or facilitate information sharing and coordination among stakeholders. In this paper, we provide an overview of the relevant obstacles and challenges by examining existing literature and then investigating a series of multi-agency disaster management exercises, using observations and a survey. Although all the people who took part in our study agree that sharing information is important, for the success of their own organization as well as the exercise as a whole, the extent to which information is actually being shared among organizations is often limited by a number of factors that can be attributed to the community, agency and individual level. We found that relief workers are often more concerned with receiving information from others than with providing information to others who may benefit. Incentives for sharing information, understanding each other’s work-processes and the usability of information systems have shown positive effects on information sharing and coordination. The findings of our study have been formulated using six grounded propositions, which can be used by system designers and policy-makers upon validation in further research. We also provide directions for future research.     

Value creation in software service platforms

In order to benefit from operating an IT service platform (e.g., SaaS platform), platform providers need to find a way to keep their existing users and application services active sources of value. However, the understanding of how to achieve that is limited due to the newness of this kind of business. This paper investigates whether all stakeholders of the platform ecosystem can generate sufficient value when participating in the platform. As stakeholders, we consider application service users, service developers, and service platform providers. We also analyse the interrelationship between these stakeholders. The analysis outcome is a value creation model that allows the calculation of the stakeholders’ values. The model also helps inferring the relative impact of different factors on the evolution of values of the software service platform stakeholders. Our simulation results confirm that all stakeholders of a service platform mainly benefit from a growing installed base of application users. However, in a mature market, a large service variety mainly benefits the service platform provider, while the other stakeholders obtain a reduced increase in their benefits. In particular, the utility growth of application users becomes constrained as the benefit from new connections with other users decreases and the number of new services used decreases. Similarly, the revenue of service developer decreases, making service development less profitable. Therefore, we can state that not only a large fraction of the value creation goes to the platform provider but also that the software service ecosystem can collapse, if no mutually beneficial pricing of services is implemented.