Business models in the enterprise software markets: Drivers behind software providers’ decisions concerning their business models

Software types can be roughly divided into two categories – tailored software and standard software. The evolution of enterprise software has started from a client-specific tailored software and moved forward to the standard software focusing on wider market needs. Recently, more service-oriented solutions as Software as a Service (SaaS) model enabled by the development of cloud computing have started to gain market share increasingly. Decisions and business models of individual software companies are steered by numerous drivers. Clients’ needs and buying behavior are in the center of software providers’ business but they only cover a part of all drivers. For example, software ecosystems, the vendors (which usually are multinational technology providers) orchestrating them, and the relationships with other stakeholders do influence on the software providers’ business. In addition, internal drivers as the history of a company, personnel’s know-how, limited resources, strategic goals and visions have an impact in the company’s decision-making. Also, trends and transformations covering the whole industry as well as the permanent evolution of technologies and software platforms shape the requirements for the business models of software providers frequently. The most remarkable changes that have influenced on the business of software providers in recent years have been for instance the growth of cloud-based services, increasing interests in artificial intelligence solutions, changes in buying behavior and decision making in organizations operating in different industries and the competition between software ecosystems and platforms. The diversity of needs in the enterprise software markets ensures that there is and will be demand for both, tailored software projects and standard software solutions. Software providers are often small companies who must concentrate on only one or a few business models in order to survive and keep up the pace in constantly transforming markets. So, many of them face difficult decisions; whether to invest on project-oriented business that generates revenue as a stable, constant stream or on the SaaS model which, in the best scenario, scales all the way to the global markets

RFID platform as a service, containerized ecosystem, feasibility and security impact analysis

This paper presents a new concept as a special type of virtualization of particular event based communication components in RFID ecosystems. The new approach is containers based virtualization, and it is applied and tested on the container of Object name service. The results of the experiment allowed us to do the preliminary analysis of security consequences on the isolated containerized DNS-based RFID sub-service. We confirmed feasibility with this sandboxing technology represented by the special container. They bring the benefits in terms of efficient software component life-cycle management and integrity improvements. Experiments results of the containerization are discussed to show the possible isolation ways of other components like EPCis and middleware. There is present evaluation towards external threats and vulnerabilities. The result is a higher level of integrity, availability of whole ecosystem and resiliency against external threats. This gives a new opportunity to build robust RFID as Platform as a service, and it proves the ability to achieve a positive impact on the end to end service Quality of service

Empirical research on the evaluation model and method of sustainability of the open source ecosystem

The development of open source brings new thinking and production modes to software engineering and computer science, and establishes a software development method and ecological environment in which groups participate. Regardless of investors, developers, participants, and managers, they are most concerned about whether the Open Source Ecosystem can be sustainable to ensure that the ecosystem they choose will serve users for a long time. Moreover, the most important quality of the software ecosystem is sustainability, and it is also a research area in Symmetry. Therefore, it is significant to assess the sustainability of the Open Source Ecosystem. However, the current measurement of the sustainability of the Open Source Ecosystem lacks universal measurement indicators, as well as a method and a model. Therefore, this paper constructs an Evaluation Indicators System, which consists of three levels: The target level, the guideline level and the evaluation level, and takes openness, stability, activity, and extensibility as measurement indicators. On this basis, a weight calculation method, based on information contribution values and a Sustainability Assessment Model, is proposed. The models and methods are used to analyze the factors affecting the sustainability of Stack Overflow (SO) ecosystem. Through the analysis, we find that every indicator in the SO ecosystem is partaking in different development trends. The development trend of a single indicator does not represent the sustainable development trend of the whole ecosystem. It is necessary to consider all of the indicators to judge that ecosystem’s sustainability. The research on the sustainability of the Open Source Ecosystem is helpful for judging software health, measuring development efficiency and adjusting organizational structure. It also provides a reference for researchers who study the sustainability of software engineering

Impact in networks and ecosystems: building case studies that make a difference

open accessThis toolkit aims to support the building up of case studies that show the impact of project activities aiming to promote innovation and entrepreneurship. The case studies respond to the challenge of understanding what kinds of interventions work in the Southern African region, where, and why. The toolkit has a specific focus on entrepreneurial ecosystems and proposes a method of mapping out the actors and their relationships over time. The aim is to understand the changes that take place in the ecosystems. These changes are seen to be indicators of impact as increased connectivity and activity in ecosystems are key enablers of innovation. Innovations usually happen together with matching social and institutional adjustments, facilitating the translation of inventions into new or improved products and services. Similarly, the processes supporting entrepreneurship are guided by policies implemented in the common framework provided by innovation systems. Overall, policies related to systems of innovation are by nature networking policies applied throughout the socioeconomic framework of society to pool scarce resources and make various sectors work in coordination with each other. Most participating SAIS countries already have some kinds of identifiable systems of innovation in place both on national and regional levels, but the lack of appropriate institutions, policies, financial instruments, human resources, and support systems, together with underdeveloped markets, create inefficiencies and gaps in systemic cooperation and collaboration. In other words, we do not always know what works and what does not. On another level, engaging users and intermediaries at the local level and driving the development of local innovation ecosystems within which local culture, especially in urban settings, has evident impact on how collaboration and competition is both seen and done. In this complex environment, organisations supporting entrepreneurship and innovation often find it difficult to create or apply relevant knowledge and appropriate networking tools, approaches, and methods needed to put their processes to work for broader developmental goals. To further enable these organisations’ work, it is necessary to understand what works and why in a given environment. Enhanced local and regional cooperation promoted by SAIS Innovation Fund projects can generate new data on this little-explored area in Southern Africa. Data-driven knowledge on entrepreneurship and innovation support best practices as well as effective and efficient management of entrepreneurial ecosystems can support replication and inform policymaking, leading thus to a wider impact than just that of the immediate reported projects and initiatives

Information Technology Platforms: Definition and Research Directions

The concept of an information technology (IT) related platform is broad and covers phenomena ranging from the operating system Linux to the Internet. Such platforms are of increasing importance to innovation and value creation across many facets of industry and daily life. There is, however, a lack of common understanding in both research and industry about what is mean by the term platform when related to IT. This lack of consensus is detrimental to research and knowledge development. Thus, the aims of this study are to: (i) provide a sound definition of the IT-platform concept by identifying its distinguishing dimensions; and (ii) identify important current research directions for the IT-platform concept. To achieve these aims a systematic literature review was undertaken with 133 relevant articles taken from major information systems journals, conferences, and business publications. The study contributes by providing a sound base for future research into IT-platforms.Comment: Research-in-progress ISBN# 978-0-646-95337-3 Presented at the Australasian Conference on Information Systems 2015 (arXiv:1605.01032