1,720,964 research outputs found
Startups networking: When to act?
Previous studies showed that despite of startups liabilities of newness and smallness, which make it more difficult to know how and when to act, they still have room for taking action in their relationships. Existing research into established firms showed that the decision to act in a particular way is influenced by both the willingness and ability to act. The rationale underlying a particular action is expected to be different for startups than for established firms because of their fundamentally different characteristics. Therefore, the question addressed in this paper is: when does a startup act in a particular way in interaction with its partners? This question is addressed developing a comprehensive research model including the rationale underlying the particular actions. Then, the model is validated by investigating the interactions between a Dutch startup and its partners from both sides. In this way, the interactive nature of networking and the different perceptions of the startup and its partners can be captured. The findings show that there are both similarities in the rationale underlying action of the startup and its partners. For example, the startup was especially more likely to acquiesce than its established partners when it was asymmetrically dependent on them, while the partners were more likely to compromise when there was mutual dependence. And a startup has to directly and actively involve the partners action and their underlying rationale in its decision to act in a particular as action always takes place in an interaction process
Resource interaction in relation to power: How a high tech startup strategizes to cope with the challenges of mobilizing and leveraging resources in asymmetrical power relationships
The resource interaction approach provides a set of basic principles concerning how resources interact at a network level. This paper further elaborates on the resource interaction approach by investigating the role of power in the technological development of a medical device over time. In the medical device development process resources, such as intellectual property, distribution networks and production facilities, are largely controlled by established organizations. Consequently, small start-ups often have to collaborate with these players to successfully innovate. However, when a startup engaged in a relationships with a large, established and powerful partner it is faced with several discrete challenges. These challenges make it difficult to mobilize and leverage the relevant resources to innovate. Therefore, the question is how a startup can take deliberate strategic actions to better mobilize and leverage the resources in their asymmetrical relationships. The answer to this question is explored through an embedded case study of a small Dutch company collaborating with a few dominant organizations to develop a new medical device. Firstly, the 4R model is used to establish and research the power position of the startup and its counterparts in the product development network over time. Secondly, it is investigated which strategic actions the startup took to conquer the challenges it faced in its asymmetric power relationships. The findings show that the startup uses five strategies to cope with the challenges of cooperating with powerful partners: visibility, sharing, compatibility, formalization and informality
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
What influences a physician’s intention to prescribe an artificial pancreas to individuals with Type 1 diabetes?
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Mapping the degree of match between B2B interactions and Inter-Organizational Systems: Uptake of IOS in two Australian co-operatives
In this paper we will advance a perspective that links business network analysis to inter-organizational systems (IOS) uptake, starting with an analytic framework to characterize both different types of electronic business to business interactions (via the web) as well as the network of business relationships in which they are used. In order to see whether inter-organizational IT systems and business networks (mis)match they are compared on two dimensions: 'mode of interaction' (relational versus transactional) and 'nature of coordination' (emergent versus directive). The study analyses two Australian agricultural cooperatives 'Capgrains' and 'Bluegum'. The transactional focus and directive control of Capgrains' online ordering system did not match with the relational interaction and emergent coordination that was common in their network of business relationships, resulting in a mismatch and low level of use of the system. The Bluegum's group communication system much better matched with the business relationships in the cooperative and higher use of the IOS. Indicating a positive relation between match and uptake of the IOS
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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