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437 result(s) for "Softwareindustrie"
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Gender, class and reflexive modernity in India
Using in-depth interviews, this book explores women employed in the Indian IT industry and highlights the gender specific and culturally specific consequences of reflexive modernity in neo-liberal India.
Cocreation of Value in a Platform Ecosystem! The Case of Enterprise Software
It has been argued that platform technology owners cocreate business value with other firms in their platform ecosystems by encouraging complementary invention and exploiting indirect network effects. In this study, we examine whether participation in an ecosystem partnership improves the business performance of small independent software vendors (ISVs) in the enterprise software industry and how appropriability mechanisms influence the benefits of partnership. By analyzing the partnering activities and performance indicators of a sample of 1,210 small ISVs over the period 1996-2004, we find that joining a major platform owner ' s platform ecosystem is associated with an increase in sales and a greater likelihood of issuing an initial public offering (IPO). In addition, we show that these impacts are greater when ISVs have greater intellectual property rights or stronger downstream capabilities. This research highlights the value of interoperability between software products, and stresses that value cocreation and appropriation are not mutually exclusive strategies in interfirm collaboration.
Two Sides of the Same Coin: How Ambiguous Classification Affects Multiple Audiences' Evaluations
This paper questions findings indicating that when organizations are hard to classify they will suffer in terms of external evaluations. Here, I suggest this depends on the audience evaluating the organization. Audiences that are \"market-takers\" consume or evaluate goods and use market labels to find and assess organizations; for them, ambiguous labels make organizations unclear and therefore less appealing. \"Market-makers\" are interested in redefining the market structure, and as a result, this type of audience sees the same ambiguity as flexible and therefore more appealing. I tested these ideas in a longitudinal analysis of U.S. software organizations between 1990 and 2002. As predicted, organizations that claim ambiguous labels are less appealing to consumers, an audience of market-takers, but more appealing to venture capitalists, who are market-makers. Further, when labels are ambiguous, aversion to or preference for ambiguity arises from the label itself. Identifying with multiple ambiguous labels does not make an organization even less appealing to a consumer or more appealing to a venture capitalist. Finally, all types of venture capitalists are not alike in how they react to a label's ambiguity. Independent venture capitalists act as market-makers and prefer organizations with ambiguous labels, while corporate venture capitalists act as market-takers and avoid them.
Good practices for the adoption of DataOps in the software industry
The increasing adoption of DevOps, the growing availability of data concerning data development processes gives rise to the need for a systematic process for collecting, processing and using data into companies. Enterprises are making significant investments in data science applications while still struggling to realize the value of this effort. Data science is emerging as a fast-growing practice within enterprises. Several tools and platforms are being continuously introduced that support data science models while managing large data sets used to train data science models. Such a scenario lead to the emergence of DataOps. This paper summarises some of the good practices in the DataOps from the literature, offering guidelines intended to approach an organizational shift towards better data-driven decision making. This study presents a picture of the definition, the steps for adopting and challenges of the adoption of DataOps.
A Configural Approach to Coordinating Expertise in Software Development Teams
Despite the recognition of how important expertise coordination is to the performance of software development teams, understanding of how expertise is coordinated in practice is limited. We adopt a configural approach to develop a theoretical model of expertise coordination that differentiates between design collaboration and technical collaboration. We propose that neither a strictly centralized, top-down model nor a largely decentralized approach is superior. Our model is tested in a field study of 71 software development teams. We conclude that because design work addresses ill-structured problems with diverse potential solutions, decentralization of design collaboration can lead to greater coordination success and reduced team conflict. Conversely, technical work benefits from centralized collaboration. We find that task knowledge tacitness strengthens these relationships between collaboration configuration and coordination outcomes and that team conflict mediates the relationships. Our findings underline the need to differentiate between technical and design collaboration and point to the importance of certain configurations in reducing team conflict and increasing coordination success in software development teams. This paper opens up new research avenues to explore the collaborative mechanisms underlying knowledge team performance.
The Core and Cosmopolitans: A Relational View of Innovation in User Communities
Users often interact and help each other solve problems in communities, but few scholars have explored how these relationships provide opportunities to innovate. We analyze the extent to which people positioned within the core of a community as well as people that are cosmopolitans positioned across multiple external communities affect innovation. Using a multimethod approach, including a survey, a complete database of interactions in an online community, content coding of interactions and contributions, and 36 interviews, we specify the types of positions that have the strongest effect on innovation. Our study shows that dispositional explanations for user innovation should be complemented by a relational view that emphasizes how these communities differ from other organizations, the types of behaviors this enables, and the effects on innovation.
Services and the Business Models of Product Firms: An Empirical Analysis of the Software Industry
Some product firms increasingly rely on service revenues as part of their business models. One possible explanation is that they turn to services to generate additional profits when their product industries mature and product revenues and profits decline. We explore this assumption by examining the role of services in the financial performance of firms in the prepackaged software products industry (Standard Industrial Classification code 7372) from 1990 to 2006. We find a convex, nonlinear relationship between a product firm's fraction of total sales coming from services and its overall operating margins. As expected, firms with a very high level of product sales are most profitable, and rising services are associated with declining profitability. We find, however, that additional services start to have a positive marginal effect on the firm's overall profits when services reach a majority of a product firm's sales. We show that traditional industry maturity arguments cannot fully explain our data. It is likely that changes in both strategy and the business environment lead product firms to place more emphasis on services. This paper was accepted by Christoph Loch, R&D and product development.
Leveraging Crowdsourcing: Activation-Supporting Components for IT-Based Ideas Competition
Ideas competitions appear to be a promising tool for crowdsourcing and open innovation processes, especially for business-to-business software companies. Active participation of potential lead users is the key to success. Yet a look at existing ideas competitions in the software field leads to the conclusion that many information technology (IT)-based ideas competitions fail to meet requirements upon which active participation is established. The paper describes how activation-enabling functionalities can be systematically designed and implemented in an IT-based ideas competition for enterprise resource planning software. We proceeded to evaluate the outcomes of these design measures and found that participation can be supported using a two-step model. The components of the model support incentives and motives of users. Incentives and motives of the users then support the process of activation and consequently participation throughout the ideas competition. This contributes to the successful implementation and maintenance of the ideas competition, thereby providing support for the development of promising innovative ideas. The paper concludes with a discussion of further activation-supporting components yet to be implemented and points to rich possibilities for future research in these areas.
People and process, suits and innovators: the role of individuals in firm performance
Performance differences between firms are generally attributed to organizational factors rather than to differences among the individuals who make up firms. As a result, little is known about the part that individual firm members play in explaining the variance in performance among firms. This paper employs a multiple membership cross-classified multilevel model to test the degree to which organizational or individual factors explain firm performance. The analysis also examines whether individual differences among middle managers or innovators best explain firm performance variation. The results indicate that variation among individuals matter far more in organizational performance than is generally assumed. Further, variation among middle managers has a particularly large impact on firm performance, much larger than that of those individuals who are assigned innovative roles.