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Development of managerial competencies currently is an integral part of the knowledge society initiatives, social, economic but also political dimension. Managerial competencies are very important for better decision-making process and it is very closely linked to information. Relationship between enterprise resource planning systems, also known as information systems and managerial competencies is subject of this research. The main objective of the research and this paper is to confirm the statement that Enterprise Resources Planning Systems (ERP systems) supports better decision-making in Slovak construction companies, it means that ERP systems improve their managerial skills. This relationship is judged on a number of criteria, such as the size of the enterprise, the owner of the enterprise, the definition of the participant of construction project and, last but not least, the intention of the activity, so-called NACE classification.

Re-engineering is essential for maintaining the competitiveness of enterprises. Enterprise re-engineering involves addressing (emergent) changes, re-organizing, outsourcing, realigning, etc. In this paper, we investigate how to re-engineer enterprises by coupling high-level requirements and the data warehouse, leading to a process re-design that makes the business layer of an enterprise more effective. More specifically, we propose an approach to reasoning about enterprise’s strategy together with data mining rules extracted from the data warehouse of the enterprise in order to make design-time changes to its business processes, primarily by means of eliminating redundant tasks and re-ordering inefficiently-located tasks. As such, the redesign is enabled by high-level strategic elements and driven by the enterprise data warehouse. The rationale behind this realignment is to combine yesterday’s behavioral facts (i.e., mining enterprise’s operational data) with today’s operationalization possibilities (e.g., goals), which results in tomorrow’s business model. We report our work on the enterprise architecture developed for a retailer of low-cost domestic airfare.

The enterprise competitiveness is enhancing constantly today, the healthy development of the enterprise has become the main problem and the relationship of the marketing and enterprise development also changes. A large number of cases show that the marketing is the core of the enterprise strategy layout. Analyze the modern relationship of the marketing strategy and enterprise strategy, take the competition and development of the enterprise as the main line and based on the decision tree model to evaluate the place of marketing in the enterprise strategy.

Over the past years, firms around the world have implemented enterprise resource planning (ERP) systems to have a standardized information system in their respective organizations and to re-engineer their business processes. Based on the business pressures force to take more powerful reactions, like as cost down the supply chain, slash stock, shorten manufacturing time, increase product category, promise the lead-time, provide better customer service, continue improving product quality, and coordinate globalize service efficiently. Hence, how to integrate EPR systems inner business has become the essential tool for business to face the variable world. Enterprise resource planning (ERP) systems have been used in integrating information and accelerating its distribution across functions and departments with the aim to increase organizations operational performance. Based on the view of BSC (Balanced Scorecard), this study mainly attempts to build and to construct the electronic performance management system(finance, customer, company internal process, and learn-growth) to make “performance indicators” evaluation by doing questionnaire analysis against company vision, blueprint, and mission. The case study is based on implementation of an ERP system on the steel industry in Taiwan. By the case, investigate into the key successful factors and the performances to implement the ERP system, the conclusion that discuss to gain according to the case, with provide the reference to the domestic enterprise in implementation of ERP system, hope it will make the enterprise more competitive and to create the biggest value for the customers.

Too often, capacity planning activities that are crucial to software performance are being pushed to late development phases where trivial measurement-based assessment techniques can be employed on enterprise applications that are nearing completion. This procedure is highly inefficient, time consuming, and may result in disproportionately high correction costs to meet existing service level agreements. However, enterprise applications nowadays excessively make use of standard software that is shipped by large software vendors to a wide range of customers. Therefore, an application similar to the one whose capacity is being planned may already be in production state and constantly produce log data as part of application performance monitoring facilities. In this paper, we demonstrate how potential capacity planning service providers can leverage the dissemination effects of standard software by applying machine learning techniques on measurement data from various running enterprise applications. Utilizing prediction models that were trained on a large scale of monitoring data enables cost-efficient measurement-based prediction techniques to be used in early design phases. Therefore, we integrate knowledge discovery activities into well-known capacity planning steps, which we adapt to the special characteristics of enterprise applications. We evaluate the feasibility of the modeled process using measurement data from more than 1,800 productively running enterprise applications in order to predict the response time of a widely used standard business transaction. Based on the trained model, we demonstrate how to simulate and analyze future workload scenarios. Using a Pareto approach, we were able to identify cost-effective design alternatives for a planned enterprise application.

Enterprise architecture supports enterprise transformation through model-based holistic descriptions that capture and share the knowledge, concepts, and relationships representing the enterprise. Although enterprise architecture models portray the gap between the as-is and to-be enterprise, they disregard the underlying aspects that together enact enterprise transformation. This paper proposes an ontology-based approach for the specification of the concepts and relationships used to express and analyze the evolution of enterprise architecture models.

For organisations, there is a lot of duplicate information, vast volume of data, enormous news and publications, which requires real time enterprise systems to discover useful knowledge. A real time enterprise system can be developed based on Service-Oriented Architecture (SOA) and Component based Development (CBD). However, current SOA and CBD have limitations to upgrade itself since they are very costly and time consuming. It is extremely hard to predict the future services and components in a pre-designed enterprise system. Therefore, the proposed research aims to help enterprise systems to predict services and components by adding a creative data mining step in enterprise system, so that existing data in both external and internal enterprise system will be reused for organisations to save budget and time. Traditionally, data mining and data analysis aim to predict, rather than to create. For the purpose of satisfying the business needs and developing data mining techniques, the proposed research reverses the objectives of data analysing, by introducing the Sense-Experience-Knowledge Framework (SEK framework). The approach is adopted to solve the problem by modifying the data mining process, the services and components of enterprise system will be created then predicted to fulfill the characters of reuse. The proposed research theoretically provides a unique viewpoint of reusing business related information. Further studies and application should be researched in next stage.

This paper examines the relationship between enterprise transformation competencies and systems engineering competencies. We analyze a systems engineering competency model with respect to enterprise transformation competencies to show that many systems engineering competencies provide a solid foundation for providing an organization with an organic capacity to successfully accomplish enterprise transformation. A systems engineering career competency model developed by the Department of the Navy is described and shown to be part of a holistic approach to strategic workforce management, and which accounts for competencies needed for enterprise transformation.

In the modern operational environment, multiple systems forming a System of Systems (SoS) are required to satisfy the spectrum of capabilities needed to satisfy the mission. Accomplishing the mission has always been a SoS endeavor, where integrating multiple systems into a SoS has been left to small communities of “hero engineers,” or to the operators responsible for the mission. The acquisition and management of these mission capabilities across the SoS lifecycle requires the complex integration of interdependent new and legacy systems from the lowest component level to the highest enterprise level. In 2008, Congress directed government organizations to adopt a Lead System Integration (LSI) process to address the issues with the acquisition, development, and integration of a SoS. This paper introduces an LSI Enterprise Framework that identifies the various levels of interaction, organizational functions, and the universal resources to ensure the enterprise provides a SoS that delivers the required capabilities. Naval Air Systems Command

Under competitive market conditions, one of the key objectives of an industrial enterprise is to form and implement an innovation strategy. The purpose of this research study is to form, justify and evaluate the financial and investment development strategy of the enterprise in a short-term and middle-term period. The mission of the enterprise is to develop and introduce software products for industrial engineering automation at domestic industrial enterprises.

Enterprise information systems are being widely and extensively used in many business domains. In fact, some of these domains cannot survive in operations without depending heavily on such systems. Although several research studies have been performed that explored the importance of enterprise information systems, only a few have been focusing on an effective and efficient end-to-end method to design and develop such systems. This paper presents a proposed approach of using a metadata model to design and implement APIs that can be utilized and reused as separate libraries to build enterprise information systems more effectively and efficiently than the traditional approaches. Primarily results of validating the proposed approach show promising potentials in reducing the manual development time and effort by an average of 64%.

An insider contributes maximum to the leakage ofsensitive information knowingly or unknowingly in an enterprise. Therefore, the need for persistent protection of such informationis critical. At the same time, enterprise friendly features forrights and ownership management are of great importance to adigital rights management (DRM) system considering thedynamism of enterprise workforce in a large enterprise. Thecurrent enterprise DRM systems have emphasized on offeringpersistent protection but do not support integration into existingenterprise infrastructure and workflows. In this paper, wepresent the enterprise digital rights management (eDRM) systemthat provides persistent protection to documents usingcryptographic methods, and also includes enterprise friendly features.

Enterprise Resource Planning (ERP) systems are used in all kinds of organizations today. They represent the structure of a company, the integration of business processes and enable company-wide and cross-company collaboration. End-user training on ERP systems is expensive but required to prevent refusals of system use and project failures. While ERP systems have been part of university teaching in Information Systems (IS), Economics, and Computer Sciences for more than a decade, they are scarcely used in schools. There exists hardly any scientific literature about teaching pupils ERP systems. We want to share our experiences with playing an ERP system-based serious game with pupils and discuss why we think this is a reasonable approach for improving and extending school teaching to prepare future IS and Engineering students. Furthermore, we want to propose an approach for integrating a learning unit for introducing ERP systems using a serious game from eleventh grade on.

Enterprise systems engineering (ESE) is a multidisciplinary approach that combines traditional systems engineering (TSE) and strategic management to address methods and approaches for aligning system architectures, system development and system implementation with enterprise business rules, enterprise strategic objectives and enterprise capabilities within diverse complex subsystems. ESE therefore refers to TSE at the enterprise level. ESE is a complex approach by itself, but in this paper, we argue and illustrate that value from ESE thinking can be obtained without following the entire ESE set of processes. This paper presents two real-world examples that illustrate the potential value of applying ESE thinking and presents a number of lessons learnt in doing so.

With the increasing interest towards the concept of Smart Cities from the city governments world-wide there is a need for useful and Information Systems oriented approach to understand Smart City propositions. In this paper we review a Smart City from an Enterprise Architecture (EA) perspective. We adapt TOGAF Architecture Development Method (ADM) to derive the concept of Enterprise Concerns. These concerns will subsequently be used to review the Smart City literature. Finally, we summarize our findings and propose the concept of the Urban Enterprise composed of Urban Enterprise Components.

With gamification, design elements known from games can be used to increase employees' engagement and improve users' experience. This paper points to Enterprise Information Systems as a viable point of implementation of gamification. There are three relevant questions: what gamification actually consists of, why it is worthwhile to apply it in Enterprise Information Systems, and how to implement it properly. The paper aims to answer them.

Semantic technologies in enterprises have recently received increasing attention from both the research and industrial side. The concept of Linked Enterprise Data (LED) describes a framework to incorporate benefits of semantic technologies into enterprise IT environments. However, LED still remains an abstract idea lacking a point of origin, i.e., station zero from which it comes to existence. In this paper we argue and demonstrate that Enterprise Knowledge Graphs (EKGs) might be considered as an embodiment of LED lifting corporate information management to a semantic level which ultimately allows for real artificial intelligence applications. By EKG we refer to a semantic network of concepts, properties, individuals and links representing and referencing foundational and domain knowledge relevant for an enterprise. Although the concept of EKGs was not invented yesterday, both enterprise and semantic communities have not yet come up with a formal comprehensive framework for designing such graphs. In this paper we aim to join the dots between the expanding interest in EKGs expressed by those communities and the lack of blueprints for realizing the EKGs. A thorough study of the key design concepts provides a multi-dimensional aspects matrix from which an enterprise is able to choose specific features of the highest priority. We emphasize the importance of various data fusion approaches, e.g., unified and federated. In the extensive evaluation section we investigate the effect of the chosen approach on the EKG performance along several dimensions, e.g., basic reasoning and OWL entailment which account for machine understanding of the EKG data, and access control subsystem which is of the utmost importance in large enterprises.

The Industrial and Enterprise Systems Engineering department at the University of Illinois at Urbana-Champaign has five major research areas: data analytics; decision and control systems; design and manufacturing; financial engineering; and operations research. During the summer of 2015, faculty and graduate students from each of the last four areas designed mini-projects and assignments to cover the research areas of the department in a required first-year course. The goal of the designed course was to provide a comprehensive overview of the department and an engaging experience for first-year students. Project-based learning and Kolb's cycle for experiential learning were used to inform the structure of the course. Pre-surveys and post-surveys were administered to gather feedback from students in the course. On the surveys, students reported an increase in understanding of each of the research areas and a positive experience in the course.

The change in climatic conditions has resulted to the decline of the environment and excess consumption of resources have put more pressure on IT practitioners to Green their business process in collaborative enterprise. Thus there is need to reduce environmental impacts of enterprise development life cycle. IT practitioners however, still face challenges in diffusion Green practices in their enterprise. They often implement new projects with different project requirements and characteristics. Therefore, it would be helpful if IT practitioners could refer to other similar Green cases when planning and implementing current projects. Thus this paper proposes a case based reasoning decision support model to provide case studies of similar Green cases projects and suggestions on how to diffuse sustainable practices in collaborative enterprise. The model can support IT practitioners in making decisions on Green practices that can be diffused in their enterprise process. This paper synthesis and extract secondary data from existing Green techniques and available Green tools. Our findings show that no tools or techniques have been proposed to cater these issues in collaborative enterprise domain. Thus the proposed model is a valuable tool for IT practitioners in collaborative enterprise.

In an earlier paper the authors presented an extended model of the enterprise using a multi-disciplinary approach grounded in enterprise architecture thinking. In this paper, the authors carry forward these concepts to undertake a broad analysis of the integration needs of the enterprise through a very wide lens at the level of the enterprise and beyond, and driving out insights that surface through this process. The material we present represents an analytical approach that either external consultants or an internal team ideally comprising senior business and IT managers can undertake.

The energy management system, that is used in enterprises of different countries of the world, is directed to solve such tasks as to increase the energy efficiency of output and production processes, to economize energy resources in general economic activities of an enterprise. As it was stated in the process of studying of a wide range of international publications, the majority of these tasks relate to the level of operative tasks of an enterprise. However, the solution of strategic tasks in the energy management system is often limited by the development of perspective energy saving plans, which in their turn are partly or even not connected with the plans of strategic development of an enterprise. In the current research we offer the mechanism of formation of connection between the activity planning in energy management system and the strategic development of an enterprise. Such methods as Voice of Customer and House of Quality are offered to realize this mechanism. It should be noted that the given mechanism can be used most efficiently in the enterprises which seek the mutual increase of energy efficiency of the production and the energy efficiency of the final output. The mechanism that is suggested in the given research will promote the integration of aims and goals of the energy management system into the system of strategic management of an enterprise activity. The novelty of this approach lies, firstly, in the identification of a possibility to apply the instruments of the theory of productive quality (Voice of Customer and House of Quality) to solve a range of tasks that are not typical for these instruments, secondly, in the application of strategy-oriented approach to solve the tasks concerning the management of energy resources of an enterprise.

IT environments that consist of a very large number of rather small structures like microservices, Internet of Things (IoT) components, or mobility systems are emerging to support flexible and agile products and services in the age of digital transformation. Biological metaphors of living and adaptable ecosystems with service-oriented enterprise architectures provide the foundation for self-optimizing, resilient run- time environments and distributed information systems. We are extending Enterprise Architecture (EA) methodologies and models that cover a high degree of heterogeneity and distribution to support the digital transformation and related information systems with micro-granular architectures. Our aim is to support flexibility and agile transformation for both IT and business capabilities within adaptable digital enterprise architectures. The present research paper investigates mechanisms for integrating Microservice Architectures (MSA) by extending original enterprise architecture reference models with elements for more flexible architectural metamodels and EA-mini-descriptions.

Customising Enterprise Resource Planning (ERP) software to the enterprise's needs is still a technical endeavour often involving enabling/disabling modules, modifying configuration files, etc. This is quite surprising given the large body of work on Enterprise Modelling and Model-Driven Software Engineering. Ideally, one models one's enterprise and, with a press on a button, the ERP software supporting the enterprise is generated. In this paper, we present a systematic evaluation of Enterprise Modelling approaches for their applicability to automatically generate ERP software supporting an enterprise. Inspired by the work of an ERP vendor, which, next to generating ERP software to support an enterprise, also wants to incorporate the common-sense of an enterprise in the ERP software, we also evaluate Enterprise Ontologies since current Enterprise Modelling languages lack semantics on the instance level. None of the existing approaches are tailored towards automated (ERP) software generation without the need for programming. However, the approaches possess valuable aspects which can aid in the ERP software generation process. Therefore, next to the evaluation, we present take-home points from the approaches, e.,g., reasoning capabilities to make common-sense suggestions when something is not possible.

© 2016 IEEE. In some conventional definitions, Enterprise Architecture (EA) is conceived as a descriptive overview of the enterprise, while in other views EA is seen as a prescriptive framework of principles and models that helps translate business strategy to enterprise change. The conceptualizations of EA also vary in scope. There is an increasing recognition of EA as a systemic, enterprise-wide capability encompassing all relevant facets of the organization, transcending the traditional IT-centric view. However, we argue that none of the conventional conceptualizations of EA are adaptive in the face of today's complex environment. We view that an adaptive EA must go beyond a single organization and fully appreciate enterprise-in-environment ecosystemic perspective. Drawing on the heritage of Open Socio-Technical Systems Design and adopting the 'three schools of thought' as a meta-paradigmatic backdrop, the paper features four different views of long-time scholar-practitioners, who discuss what an adaptive enterprise architecture would entail. Integration of these views paints a radically reconceptualized picture of enterprise architecture for the future. With this paper, we want to lay a foundation for a debate on the need for alternative conceptualizations, manifestations and research agenda for enterprise architecture.

In an enterprise, accessing data on the go using several ubiquitous devices is fast becoming the norm. This brings its own set of challenges when dealing with access to sensitive resources. The pervasive nature of these devices makes them ideal candidates for cyber-attacks. The challenge arises in ensuring that devices conform to proper access control requirements. Due to the nature of the cyber-attacks on ubiquitous devices, there is a need to provide dynamic access control to enterprise resources. A system that automatically classifies documents by sensitivity level would be essential to every enterprise. This helps reduce manual document classification that might be prone to errors. To this effect, we propose a framework that automates the security profile detection, access pattern of enterprise resources using text mining, user context, enterprise policies. We also develop a prototype system to elevate the effectiveness of our framework.

We reintroduce the concepts of enterprises and stewardship, define relevant terms, and discuss the purpose and characteristics of corporate enterprises. Then we explain how relationships among interdependent variables affect enterprises. Next, we show how opposing tendencies in complex systems, such as enterprises, can lead to development toward stewardship within a fitness zone. Then, we present an architecture of enterprise stakeholders used for guiding this stewardship development. Finally, we present an approach to stewarding any enterprise within its stakeholder environment to create value for all stakeholders.

Leadership (as opposed to management) is the more appropriate focus in creating conditions for effective action in dealing with very complex situations, those involving many stakeholders in extremely difficult situations that one is attempting to engineer. Characteristics of and further suggestions for good system of systems, enterprise, and complex system leaders are offered. Established examples of complex system behaviors and complex systems engineering principles are reviewed.

Application integration (AI) is the process of creating impartially designed application systems that operate collectively. On the whole, integration is not an easy task because developers have to combine disparate structural designs that include different data, process, and object models. Developers must also make a solution operate across several operating systems, middleware technologies, and databases. Integration is essential for any new technology solution. This study discusses different approaches, feasible solutions, and estimates for disparate enterprise solution synchronization. We also discuss influential forces that have made enterprise AI precarious and summarize inspection areas when selecting a method for individual enterprise requirements. Moreover, we provide important aspects of AI that should be considered before planning and creating an integration solution.

Enterprise architectures at the best of financial institutions are not necessarily a result of choice, but are patch work quilts developed over time, sometimes decades, with multitude of technologies, while responding to business needs at any given point in time. The various lines of business at financial institutions run in silos creating unwanted complexity and duplication. Mergers & acquisitions add to the complexity too making the enterprise architecture into an ungainly elephant that doesn't have enough strength to chug on yet cannot be allowed to collapse. Cost, difficult maintenance, lack of agility, slow time to market and other considerations require the enterprise architectures at financial institutions be simplified. We present here a simplification framework based on system engineering principles that will look at all dimensions that matter in a financial institution and help in creating an effective roadmap to simplification of enterprise architecture at any financial institution thereby helping drive down the price of financial services and improve financial inclusion of the hitherto unbanked.

A practical methodology for dealing with complex systems in a socio-technical engineering sense is offered. This is a significant improvement over previous descriptions whose techniques have been successfully applied in highly technological systems involving many key stakeholders. Additional application of this updated methodology is encouraged as well as the preparation and publication of future case studies addressing bigger world problems which may show how well it really works in practice.

Innovation is becoming increasingly important for Enterprise Architecture (EA) teams. Consequently, it is crucial that tools be developed to assist Enterprise Architecture teams when evaluating how (and how well) they are supporting innovation within the context of their enterprise. To date very little research has been completed that focuses on both EA and innovation. This paper presents an assessment tool to help EA teams evaluate and improve how they support innovation. The tool has been tested in a case study with a hi-tech firm and initial results are presented.

Enterprise Resource Planning software have several benefits if implemented successfully. The benefits includes interdepartmental communications, real time data access, improved customers relationship, future forecasting etc. This paper presented includes proposed work. Proposed model tries to throw light on security issues which is generally ignored by the most of the organizations. Some of the identified reasons are cost, awareness etc.

The analysis of foreign and domestic information systems shows that these systems possess a number of shortcomings. The majority of foreign programs are not oriented on the features of business processes in Russia; do not conform to the requirements of Russian industrial enterprises to contents of tasks and functions of the systems in question. Besides, purchasing and updating modern foreign ERP systems requires high financial investments. Domestic information systems of the industrial enterprises must not only solve the main functional tasks within the activities of the enterprise, but also provide information, electronic and administrative correlations between all subsystems, as well as unity of indicators of different subdivisions and the activities of the enterprise in general. It is expedient to create such information systems based on the unified project decisions on structure, composition and the maintenance of subsystems and project modules, software and hardware complexes, etc.

Identifying services is one of the most important step in developing service-oriented business systems. Existing service identification methods still have some shortcomings, e.g. unrepeatable approach, inapplicable to all enterprise information systems and unadaptable to business factor change. Some approaches focus on fixed cases or certain types of organizations neglecting the change of involvement and operation of the enterprise systems, which have limited value to apply to a broad range of real-life business cases In this paper, we investigate requirements of service identification from different types of information systems, from single systems to collaborative systems, from closed systems to open systems. The research is important for providing a solid foundation for further identifying services for developing different service-oriented systems.

A considerable demand of real-time business intelligence analysis persuade enterprise application vendors to cope with state-of-the-art computing technologies such as cloud computing and in-memory data management systems, to provide business owners with systems “predicting the future”. A general review and study of enterprise systems' history helps to better understand what such systems will be in close future. This abstract review demonstrates that the evolution of these software solutions has two major aspects; functional evolution and computation revolutions.

This paper presents a model of information flow in the area of the relations of obligations, which is applied at the enterprise Parking Service Kragujevac, Serbia, which can also serve as a general reference model for building the customized model of the enterprise. According to their scope and complexity, the processes that take place within the legal department belong to the more complex processes in an enterprise. This paper presents a model of displayed information flows with the aim to improve the quality of business processes in the specified area and the implementation of the information system.

The complexity and continuous evolution of enterprise systems is making it increasingly difficult to maintain the predictability of the system. The system managers are often unaware of the impact of an action across various layers of enterprise IT ranging from business functions, to applications, to IT infrastructure. Due to lack of this transparency, many risks go unnoticed leading to business outages or violations of Service Level Agreements (SLAs). In this paper, we address this problem of impact analysis of an action of an IT component on the enterprise system. We present novel techniques to model various aspects of system dependencies and then present algorithms to perform impact analysis. The ideas presented in this paper have been developed by applying them in real-world environments.

Strategic alignment among digital services and organizational objectives is crucial for IT, if the enterprise is to use it for competitive advantage. The motivation for the work presented in this paper is based on the need for the design of services that meet the challenges of alignment, agility and sustainability in relation to dynamically changing enterprise requirements. To this end, the paper presents an approach to enterprise modeling that historically has its roots in strategic management and more recently has been considered within the broader spectrum of enterprise architecture, business process management and service-oriented development. We refer to this approach as a capability-centric modeling approach. The paper establishes a framework within which capability modeling would be used in collaboration with other modeling viewpoints and focuses on the specific concepts and techniques that relate to enterprise capability. These concepts and techniques are elaborated upon using a scenario from a leading digital services enterprise.

Demand for self-adaptive enterprise applications has been on the rise over the last years. Such applications are expected to satisfy context-dependent quality requirements in varying execution conditions. Their dynamic nature constitutes challenges with respect to their architectural design and development, and the guarantee of the agreed quality scenarios at runtime. In this paper we present the constituting elements of Shift, a framework that integrates (i) facilities and mechanisms for managing self-adaptive enterprise applications, (ii) automated derivation of self-adaptive enterprise applications and their respective monitoring infrastructure, and (iii) decision support for the assisted recomposition of self-adaptive applications.

In this paper we present an ongoing FP7 project VENIS, where we are focusing on interoperability problems between Large Enterprise (LE) and Small/Medium Enterprise (SME) as well as Micro Enterprise (ME). We are proposing a solution for the enterprise search and enterprise interoperability, which follows the lightweight semantic approach. This approach is more suitable for SMEs and MEs, which are not always able to adopt heavy and more expensive solutions used by LEs. We are trying to discover hidden knowledge stored in every of the involved enterprise ecosystem, mainly in emails and CMS (documents). Our Lightweight Semantics approach (LWS) is able to provide a semantic search and recommendation to support users inside business workflows to fulfill interoperability tasks.

All Enterprise Architecture Modeling (EAM) approaches revolve around the use of multiple, inter-related views to describe the properties of a system and its surrounding environment -- that is, they are multi-view specification (MVS) approaches. However, there is still little consensus on how such modeling environments should be realized and on the pros and cons of the different fundamental design choices involved in building them. In this paper we identify the different design choices put forward in the literature, evaluate their mutual compatibility, and discuss the extent to which they scale up to large enterprise systems. Finally we present some additional choices and outline some of the key features that future multi-view modeling environments should ideally support.

Collaboration among enterprises is aimed at strengthening competitiveness of collaborating partners. Although potential benefits resulting out of collaboration are high, a large number of collaborative enterprises fail. The studies report that collaborations' Critical Success Factors (CSFs) relate to aspects such as trust, similarities and complementarities between partners, transparency of rights, duties and undertaken actions. The application of enterprise modeling is expected to contribute to addressing some of these CSFs and thus, support the success of collaborative enterprises. In this paper, based on the conducted analysis, high-level requirements towards an enterprise modeling method for collaborative enterprises are elicited and used to discuss existing modeling approaches, with the aim to identify future directions of research.

In the Internet age, application of the Internet has penetrated into people's daily life. It has a great influence on people's daily life and overturns people's traditional conception of thinking. Depending on the Internet's resources integration ability, Internet companies are rapidly rising and affect the traditional industry's core business. Many traditional enterprises have begun to transform itself through the Internet thinking. This paper embarks from the nature of the Internet and with the seven Internet thinking it derived to analysis the transformation of the enterprise model, the enterprise model and the enterprise value chain.

Organizations perceive importance of enterprise content management as one of the strategic information sources. Enterprise content management represents a technological solution which enables to manage enterprise content in a wide range of functionalities and access rights. It is crucial for the technological solution itself that the system requirements are accurately stated. This paper deals with the way of identification of enterprise content requirements.

Cognitive systems are important classes of intelligent information systems, which may support different tasks within intelligent company management activities. Such systems may play an important role in evaluation of current and future enterprise conditions, thanks to the evaluation of semantic meaning about different local and global parameters connected with particular company or enterprise. This paper will present a comparative evaluation of different classes of cognitive information systems, useful for supporting various decision making as well as management tasks. In particular the efficiency of such systems will be evaluated and compared, but also new areas of application will be described.

Enterprise architecture (EA) is a discipline driving change within organizations. EA provides also a valuable set of system architectures and modelling techniques in Cyber-Physical Systems (CPS). EA aims to model the relationships between the business and technology in such a way that key dependencies are exposed from the underlying complexity and so can be used to support decisions. However, the management of such changes is a challenging task for enterprise architects, due to the complex dependencies amongst EA models which may also evolve from an initial to a posterior state. In this paper, we present an approach supporting EA models evolution. Our goal is to define an approach supporting design decision during EA evolution. In doing so, we model EA artifacts dependencies and identify their corresponding operations during change. This model is, then, processed using a feedback control schema to fully inform the design decisions. Finally, we evaluate our decision-oriented approach using a case study design.

Gamification is an emerging trend in service engineering with a perspective on engagement management. Gamification applications include marketing, enterprise management, education, and health-care. Gamification facilitates user behavior design and social experience design. However, there are many obstacles to successful gamification in an enterprise context. The author discusses the challenges and design patterns that deal with these obstacles. The author discusses a mismatch analysis using gaps identified between enterprise gamification design and the general service engineering guidelines. Then, the author discusses the implications for design patterns that deal with the identified gaps.

Labor and capital are gradually replaced by knowledge, which is the main source of economic growth, focusing on knowledge in the process of business operation, therefore, the transformation ability of the value of knowledge is to be ultimate source of the enterprise competitiveness. Through a review of research achievements at home and abroad on knowledge value chain, the connotation of enterprise knowledge value chain management is defined. Based on it, a hyper-cycle system of enterprise knowledge is analyzed and described in order to provide reference for running the enterprise internal control into the automatic reproduction and evolution of hyper-cycle system.