6 research outputs found

    Emergence Antecedents of Enterprise Social Media Networks: A Literature Review and Directions for Future Research

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    What drives the emergence of enterprise social media (ESM) networks? This question cannot be fully answered without studying the scattered body of knowledge. The current research in progress paper addresses this question by means of a preliminary literature review. Precisely, it synthesizes 34 literature findings into a preliminary literature review, which will be further refined and augmented by a research agenda in the future steps. The main theoretical contribution of this paper is to describe 21 antecedents that drive ESM network emergence. In practice, knowledge about these emergence antecedents can be used for various application cases. Examples include developing ESM recommender systems, creating ESM network simulation models, and planning and conducting organizational interventions to optimize ESM networks

    PENGARUH NETWORKING DAN COLLABORATION MELALUI WHATSAPP GROUP TERHADAP KINERJA KARYAWAN (STUDI PADA KOPERASI SIMPAN PINJAM CU DHARMA PRIMA KITA DAN CU DHARMA BAKTI)

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    Penelitian ini bertujuan untuk mengetahui pengaruh networking dan collaboration melalui whatsapp group terhadap kinerja karyawan. Sampel dalam penelitian ini adalah karyawan Koperasi Simpan Pinjam CU Dharma Prima Kita dan CU Dharma Bakti menggunakan purposive sampling. Responden dalam penelitian ini berjumlah 37 karyawan. Teknik pengumpulan data penelitian menggunakan kuesioner. Metode analisis yang digunakan adalah analisis deskriptif dan analisis regresi linear berganda. Hasil penelitian menunjukan bahwa networking dan collaboration berpengaruh terhadap kinerja karyawan. Maka dari itu, dengan meningkatkan networking dan collaboration dapat meningkatkan kinerja karyawan

    SOCNET 2018 - Proceedings of the “Second International Workshop on Modeling, Analysis, and Management of Social Networks and Their Applications”

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    Modeling, analysis, control, and management of complex social networks represent an important area of interdisciplinary research in an advanced digitalized world. In the last decade social networks have produced significant online applications which are running on top of a modern Internet infrastructure and have been identified as major driver of the fast growing Internet traffic. The "Second International Workshop on Modeling, Analysis and Management of Social Networks and Their Applications" (SOCNET 2018) held at Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany, on February 28, 2018, has covered related research issues of social networks in modern information society. The Proceedings of SOCNET 2018 highlight the topics of a tutorial on "Network Analysis in Python" complementing the workshop program, present an invited talk "From the Age of Emperors to the Age of Empathy", and summarize the contributions of eight reviewed papers. The covered topics ranged from theoretical oriented studies focusing on the structural inference of topic networks, the modeling of group dynamics, and the analysis of emergency response networks to the application areas of social networks such as social media used in organizations or social network applications and their impact on modern information society. The Proceedings of SOCNET 2018 may stimulate the readers' future research on monitoring, modeling, and analysis of social networks and encourage their development efforts regarding social network applications of the next generation.Die Modellierung, Analyse, Steuerung und das Management komplexer sozialer Netzwerke repräsentiert einen bedeutsamen Bereich interdisziplinärer Forschung in einer modernen digitalisierten Welt. Im letzten Jahrzehnt haben soziale Netzwerke wichtige Online Anwendungen hervorgebracht, die auf einer modernen Internet-Infrastruktur ablaufen und als eine Hauptquelle des rasant anwachsenden Internetverkehrs identifiziert wurden. Der zweite internationale Workshop "Modeling, Analysis and Management of Social Networks and Their Applications" (SOCNET 2018) wurde am 28. Februar 2018 an der Friedrich-Alexander-Universität Erlangen-Nürnberg abgehalten und stellte Forschungsergebnisse zu sozialen Netzwerken in einer modernen Informationsgesellschaft vor. Die SOCNET 2018 Proceedings stellen die Themen eines Tutoriums "Network Analysis in Python" heraus, präsentieren einen eingeladenen Beitrag "From the Age of Emperors to the Age of Empathy" und fassen die Ergebnisse von acht begutachteten wissenschaftlichen Beiträgen zusammen. Die abgedeckten Themen reichen von theoretisch ausgerichteten Studien zur Strukturanalyse thematischer Netzwerke, der Modellierung von Gruppendynamik sowie der Netzwerkanalyse von Rettungseinsätzen bis zu den Anwendungsbereichen sozialer Netzwerke, z.B. der Nutzung sozialer Medien in Organisationen sowie der Wirkungsanalyse sozialer Netzwerkanwendungen in modernen Informationsgesellschaften. Die SOCNET 2018 Proceedings sollen die Leser zu neuen Forschungen im Bereich der Messung, Modellierung und Analyse sozialer Netzwerke anregen und sie zur Entwicklung neuer sozialer Netzwerkapplikationen der nächsten Generation auffordern

    Online Tie Formation in Enterprise Social Media

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    We study the antecedents to tie formation on an enterprise social media platform implemented to support cross-boundary connections. Research has produced mixed findings regarding the role of social media in cultivating bridging vs. closed networks. We examine the tie formation patterns of 1,386 enterprise social media users over a two-year period. We first find that users tend to form ties via reciprocity and transitivity (with friends of friends). As for whom they initiate ties with in the first place, we find strong tendency to form ties within the same organizational boundaries. We also find that co-membership in online interest groups lead to new connections while no such evidence exists for preferential attachment. Overall, we find that enterprise social media offers features, some of which are likely to foster bridging while others foster closed networks via different mechanisms

    Online Tie Formation in Enterprise Social Media

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