342 research outputs found

    ON THE PERFORMANCE OF NONPARAMETRIC SPECIFICATION TESTS IN REGRESSION MODELS

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    Some recently developed nonparametric specification tests for regression models are described in a unified way. The common characteristic of these tests is that they are consistent against any alternative hypothesis. The performance of the test statistics is compared by means of Monte Carlo simulations, analysing how heteroskedasticity, number of regressors and bandwidth selection influence the results. The statistics which do not use a bandwidth perform slightly better if the regression model has only one regressor; otherwise, some of the statistics which use a bandwidth behave better if the bandwidth is chosen adequately. These statistics are applied to test the specification of three commonly used Mincer-type wage equations with Uruguayan and Spanish data; all of them are rejected.

    Nokia on the slope: the failure of a hybrid open/closed source model

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    This case study explores the origins of Nokia’s decline in the mobile technology market, as an unsuccessful attempt to introduce an open-source strategy into the business. Nokia created a hybrid model, which codified conflicting principles taken from closed and open mode of collaboration. A series of implementation problems resulted in Nokia struggling to attract open-source partners, growing issues with managing in-house staff and ultimately failing to develop a new mobile operating system fast enough to stay competitive

    Revisiting James March (1991): Whither Exploration and Exploitation

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    We revisit March’s seminal 1991 article, “Exploration and exploitation in organizational learning”, and analyze the impact it has had on scholarly thinking, providing a comprehensive and structured review of the extensive and diverse research inspired by this publication. We show that although this influence has changed significantly over the years, there are still unexplored opportunities left by this seminal work. Our approach enables us to identify promising directions for future research that reinforce the themes anchored in March’s article. In particular, we call for reconnecting current research to the behavioral roots of this article and uncovering the microfoundations of exploration and exploitation. Our analysis further identifies opportunities for integrating this framework with resource-based theories and considering how exploration and exploitation can be sourced and integrated within and across organizational boundaries. Finally, our analysis reveals prospects for extending the notions of exploration and exploitation to new domains, but we caution that such domains should be clearly delineated. We conclude with a call for further research on the antecedents of exploration and exploitation and for studying their underexplored dimensions

    An approach to the cooperation for innovation in the service sector

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    This study examines how firms cooperate for innovation in the services sector. We tested the theoretical development using cluster analysis and ordinal logit regression analysis with firm-level data collected from the Spanish Technological Innovation Panel (PITEC) for the period 2011-2013. Overall, 2,622 service firms have been used. This research contributes as follows: firstly, the findings show that the greater degree of penetration into the innovation modes of the firms means that the intensity of the use of cooperative agreements as well as the diversity of cooperative partners increases. Secondly, the empirical evidence for the taxonomy of innovation development in the service sector provides firms with the ways how to innovate based on their strategic orientation

    Co-creation workshops for work life oriented ICT education

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    ICT Companies in Finland today are facing problems in recruiting the right skilled workforce to meet their needs [1]. There is particular shortage of application developers, application designers, web professionals and coders in the South Ostrobothnia area of Finland [2]. Typical degree courses offered by universities would not work because there is a mismatch between the university degrees offered and the needs of these companies. There is a need to develop a new approach to address this shortage. In response to this, local University of Applied Sciences has developed a new ICT education programme using co-creation methods. The new approach is based on the concepts of co-creation of value from service science. This paper discusses the importance of this new approach in education and how it can be implemented. Empirical data is gathered through observation of and reflection on the development of the ICT programme which follows the principles of co-creation

    Convincing the crowd: entrepreneurial storytelling in crowdfunding campaigns

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    This study examines the structure of entrepreneurial stories in pursuit of mobilizing resources from crowds. Based on a comparative analysis of Kickstarter crowdfunding campaigns, we examine in particular how, across different project types, project histories and potential futures are framed and interlinked in narratives to appeal to funders. We find that projects are narrated in different styles—as ongoing journeys” or “results-inprogress”— to convey project value. The former style narrates projects as longer-term endeavors powered by creative initial ideas and a bold vision, inviting audiences to “join the journey”; the latter narrates projects more narrowly as a progression of accomplishments, engaging the audience instrumentally to support next steps. We find that styles are used and combined in different ways, reflecting the tangibility of project outcomes, the sophistication of technology, and the social orientation of projects. Also, successful differ from unsuccessful campaigns in using narratives more coherently. Findings inform research on narrative processes in entrepreneurship and innovation, and research on the mobilization of crowds

    The more the merrier? Increasing group size may be detrimental to decision-making performance in nominal groups

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    <div><p>Demonstrability—the extent to which group members can recognize a correct solution to a problem—has a significant effect on group performance. However, the interplay between group size, demonstrability and performance is not well understood. This paper addresses these gaps by studying the joint effect of two factors—the difficulty of solving a problem and the difficulty of verifying the correctness of a solution—on the ability of groups of varying sizes to converge to correct solutions. Our empirical investigations use problem instances from different computational complexity classes, NP-Complete (NPC) and PSPACE-complete (PSC), that exhibit similar solution difficulty but differ in verification difficulty. Our study focuses on nominal groups to isolate the effect of problem complexity on performance. We show that NPC problems have higher demonstrability than PSC problems: participants were significantly more likely to recognize correct and incorrect solutions for NPC problems than for PSC problems. We further show that increasing the group size can actually <i>decrease</i> group performance for some problems of low demonstrability. We analytically derive the boundary that distinguishes these problems from others for which group performance monotonically improves with group size. These findings increase our understanding of the mechanisms that underlie group problem-solving processes, and can inform the design of systems and processes that would better facilitate collective decision-making.</p></div

    How Firms Adapt and Interact in Open Source Ecosystems: Analyzing Stakeholder Influence and Collaboration Patterns

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    [Context and motivation] Ecosystems developed as Open Source Software (OSS) are considered to be highly innovative and reactive to new market trends due to their openness and wide-ranging contributor base. Participation in OSS often implies opening up of the software development process and exposure towards new stakeholders. [Question/Problem] Firms considering to engage in such an environment should carefully consider potential opportunities and challenges upfront. The openness may lead to higher innovation potential but also to frictional losses for engaged firms. Further, as an ecosystem progresses, power structures and influence on feature selection may fluctuate accordingly. [Principal ideas/results] We analyze the Apache Hadoop ecosystem in a quantitative longitudinal case study to investigate changing stakeholder influence and collaboration patterns. Further, we investigate how its innovation and time-to-market evolve at the same time. [Contribution] Findings show collaborations between and influence shifting among rivaling and non-competing firms. Network analysis proves valuable on how an awareness of past, present and emerging stakeholders, in regards to power structure and collaborations may be created. Furthermore, the ecosystem’s innovation and time-to-market show strong variations among the release history. Indications were also found that these characteristics are influenced by the way how stakeholders collaborate with each other
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