1,720,979 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Complexifying the perceived chaos : a hybrid interpretive scheme for engaging with dark potentialities in strategic alliances
No full textStrategic alliances have mushroomed in the contemporary landscape. Yet a plethora of them fail to satisfy the partners' strategic objectives. To sustain successful alliances, firms and the individuals involved need to cope with the inherent interpartner risks and uncertainties, which exist on multiple levels and make the interactions among the partners challenging. From an interpretive perspective, prior research has identified that interpretive schemes are critical for alliance managers to make sense and cope with unexpected events that raise concerns about the partner's future behavior. In particular, two alternative interpretive schemes have been suggested, namely sensemaking of chaos and sensemaking in chaos (Das & Kumar, 2010). Whereas the former drives alliance managers to calculate and mitigate exchange hazards, the latter encourages them to suspend and embrace dark potentialities inherent in strategic alliances. This chapter aims to advance the understanding of the synergistic implication of the two interpretive schemes and to increase clarity regarding when and how these can be integrated. Drawing upon literatures on risk and uncertainty, I argue that while risk is the cornerstone of sensemaking of chaos, uncertainty is the cornerstone of sensemaking in chaos. Building upon this, I suggest that when potentiality is examined from both the prisms of risk and uncertainty, alliance managers engage in the integrative interpretive scheme complexifying the perceived chaos, which assumes that engaging with dark potentialities is a multi-solution task. This encourages succesful engagement with not only predictable and eliminable facets of potentiality, but also with unpredictable and ineliminable ones. Thereby alliance managers can cope with dark potentialities as both calculation and suspension of exchange hazards are enabled. </p
The role of Big Data in the evolution of Platform based Ecosystems : A case study of an emerging platform-based ecosystem in the software engineering industry
No full textPlatform based ecosystems are becoming dominant models in the software engineering industry. ‘Big data’ has recently gained increased attention from both academia and practitioners and it is believed that big data affects every sector and industry. While an abundance of research focuses on big data and platform-based ecosystems, these two are typically approached as secluded spheres. This study aimed toward an investigation of big data’s role in the evolution of platform-based ecosystems in the software engineering industry. In the present thesis the influence of big data on the software engineering industry and more specifically, the impact of big data on the evolution of software ecosystems, is examined. A case study focused on a platform owner and pioneer in the software engineering industry has been conducted. This study identifies challenges and opportunities triggered by the advent of big data in context of platform-based ecosystems. Hence, considerable insight regarding the impact of big data on contemporary platform providers and the evolution of platform-centric ecosystems is gained. The findings illustrate that software ecosystems are affected by big data in a positive manner, but some identified challenges emerge and have to be tackled. Additionally, in this paper, it is suggested that both academia and practitioners should dig deeper into this relationship and identify how the evolution of platform-based ecosystems is impacted by the advent of big data.
Variations on the Author
Get PDF“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
Coping with Interpartner Uncertainty in Interorganizational Interactions
No full textInterorganizational relationships are uncertain endeavors. By engaging in such relationships, organizations become vulnerable to their partner’s behavior and their success is contingent on the partner’s willingness and ability to fulfill its promises. Despite the plethora of benefits provided by interorganizational relationships, organizations face difficulty in understanding and anticipating each other’s future behavior, in aligning their views and expectations, and in predicting the potentialities of their interactions due to the influence of the broader relational context. This difficulty stems from incomplete knowledge about the intentions of the partner and it is particularly salient within coopetitive interorganizational relationships, i.e., relationships involving the simultaneous pursuit of cooperation and competition, as the partners have only partially convergent interests. Whereas prior research has focused on how firms can manage calculable risks through static governance mechanisms, little is known about the underlying processes of how firms cope with interpartner uncertainty. In this thesis, I address the following purpose: to advance the understanding of the processes through which firms cope with interpartner uncertainty in interorganizational interactions. The purpose is addressed through five research papers, which build on each other and synergistically shed light on different processes through which organizations cope with interpartner uncertainty along the course of their interactions. With an inductive approach, this thesis mainly draws on a qualitative case study of interorganizational interactions in the robotics and automation industry in Sweden. In addition, two literature reviews and a quantitative study supported the fulfilment of the overall purpose. The findings of this thesis establish that three possible means of coping with interpartner uncertainty in interorganizational interactions are the adoption of both trust and distrust as organizing principles, reliance on hybrid interpretive schemes as forward-looking lenses and the use of digital artifacts as boundary objects. In addition, I provide answers about how each of these means of coping supports organizations to cope with interpartner uncertainty by influencing their interaction dynamics. Building upon these findings, I argue that the process of coping with interpartner uncertainty has three distinct, yet interrelated dimensions, namely managerial cognition, relationality and materiality. The thesis concludes by outlining the main theoretical contributions to the bodies of literature on uncertainty in interorganizational relationships, interorganizational trust, and coopetition. Finally, managerial implications are also outlined
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe 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
Get PDFWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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