TY - JOUR A1 - Brennecke, Julia A1 - Coutinho, James A. A1 - Gilding, Michael A1 - Lusher, Dean A1 - Schaffer, Graham T1 - Invisible iterations: how formal and informal organization shape knowledge networks for coordination JF - Journal of management studies N2 - This study takes a network approach to investigate coordination among knowledge workers as grounded in both formal and informal organization. We first derive hypotheses regarding patterns of knowledge-sharing relationships by which workers pass on and exchange tacit and codified knowledge within and across organizational hierarchies to address the challenges that underpin contemporary knowledge work. We use survey data and apply exponential random graph models to test our hypotheses. We then extend the quantitative network analysis with insights from qualitative interviews and demonstrate that the identified knowledge-sharing patterns are the micro-foundational traces of collective coordination resulting from two underlying coordination mechanisms which we label ‘invisible iterations’ and ‘bringing in the big guns’. These mechanisms and, by extension, the associated knowledge-sharing patterns enable knowledge workers to perform in a setting that is characterized by complexity, uncertainty and ambiguity. Our research contributes to theory on the interplay between formal and informal organization for coordination by showing how self-directed, informal action is supported by the formal organizational hierarchy. In doing so, it also extends understanding of the role that hierarchy plays for knowledge-intensive work. Finally, it establishes the collective need to coordinate work as a previously overlooked driver of knowledge network relationships and network patterns. © 2024 The Authors. Journal of Management Studies published by Society for the Advancement of Management Studies and John Wiley & Sons Ltd. KW - coordination KW - hierarchy KW - informal organization KW - knowledge sharing KW - multiplexity KW - social network Y1 - 2024 U6 - https://doi.org/10.1111/joms.13076 SN - 0022-2380 SN - 1467-6486 SP - 1 EP - 42 PB - Wiley-Blackwell CY - Oxford ER - TY - JOUR A1 - Fischer, Caroline T1 - Incentives can’t buy me knowledge BT - the missing effects of appreciation and aligned performance appraisals on knowledge sharing of public employees JF - Review of public personnel administration N2 - This study examines whether incentives affect public employees' intention to share knowledge. Tested incentives satisfy needs for either achievement or appreciation. Both treatments were tested on implicit as well as explicit knowledge sharing. A 2 x 3 factorial survey experiment was designed to observe within-person and between-person effects. Data were collected from public employees in the core administration and healthcare sector (n = 623) in 2018. The analysis indicates that both treatments positively affect knowledge-sharing intention if it is explicit knowledge that ought to be shared. However, no effects of either treatment can be found in either type of knowledge sharing. No negative effect of the tested incentives on knowledge sharing was observed. Hence, incentives might not harm knowledge sharing but also do not pay off in organizational practice. In contrast to these motivation-enhancing human resource practices, ability and opportunity-enhancing practices should be tested to foster knowledge sharing. KW - knowledge sharing KW - knowledge management KW - work behavior KW - rewards KW - survey KW - experiment Y1 - 2021 U6 - https://doi.org/10.1177/0734371X20986839 SN - 0734-371X SN - 1552-759X VL - 42 IS - 2 SP - 368 EP - 389 PB - Sage CY - London ER - TY - THES A1 - Fischer, Caroline T1 - Knowledge Sharing in the Public Sector T1 - Wissensteilung im öffentlichen Sektor BT - How and why public employees share their knowledge at the workplace and how to foster that behavior? BT - Wie und warum teilen öffentlich Beschäftigte ihr Wissen am Arbeitsplatz und wie kann dieses Verhalten gefördert werden? N2 - This dissertation examines the activity of knowledge sharing by public employees in the workplace. Building on the Rubicon model of human behavior formation, I use a threefold approach to analyze the knowledge-sharing process: public employees’ motivation to share knowledge, their intention to share, and knowledge sharing behavior as such. The first article maps the knowledge-sharing behavior of public employees. It builds a typology of behavioral patterns and shows that public employees mainly share their knowledge responsively and directly with a knowledge receiver rather than an information medium. The second article elaborates on the construct of knowledge-sharing motivation and develops a scale to measure this kind of work motivation in a selective and domain-specific way. Data from three studies indicate three dimensions of knowledge-sharing motivation, namely appreciation, growth and altruism, and tangible rewards. Based on these dimensions, the third article analyzes whether the satisfaction of public employees’ underlying needs can foster ther knowledge-sharing intention. The study indicates that both tested treatments (appreciation by co-workers, benefits in a performance appraisal) positively affect knowledge-sharing intention if it is explicit knowledge that ought to be shared. However, no effects of either treatment can be found if implicit knowledge is shared. Hence, to foster sharing of explicit knowledge, the analyzed motivation-enhancing rewards can be used in public management practice. To enhance implicit knowledge sharing, ability- and opportunity-enhancing management instruments are discussed. All in all, this dissertation integrates a micro-level perspective on human knowledge sharing into a meso-level perspective on organizational knowledge management. It adds to the literature on workplace behaviors of public employees and knowledge management and aims to incorporate knowledge sharing and management into the public administration and management literature. N2 - Diese Dissertation beschäftigt sich mit der Wissensteilung von Mitarbeiter*innen der öffentlichen Verwaltung am Arbeitsplatz. Basierend auf dem Rubikon-Modell der menschlichen Verhaltensformierung nutze ich einen dreiteiligen Ansatz zur Analyse des Prozesses der Wissensteilung: die Motivation von Verwaltungsmitarbeiter*innen ihr Wissen zu teilen, ihre Intention zu teilen und das eigentliche Wissensteilverhalten. Der erste Artikel kartiert Wissensteilverhalten von Verwaltungsmitarbeiter*innen. Er erstellt eine Typologie von Verhaltensweisen und zeigt, dass Wissen vor allem auf Nachfrage und direkt mit Wissensnehmer*innen geteilt wird statt mit einem Trägermedium. Der zweite Artikel bearbeitet das Konstrukt der ‚Motivation Wissen zu teilen‘ und entwickelt eine Skala zur Messung dieser Art von Arbeitsmotivation, die bereichspezifisch ist und sich von Verhalten abgrenzt. Die Erhebungen zeigen drei Dimensionen der Motivation Wissen zu teilen auf: Anerkennung, Entwicklung und Altruismus, und materielle Belohnung. Auf Basis dieser Dimensionen, analysiert der dritte Artikel ob die Befriedigung der zugrundeliegenden Bedürfnisse die Intention von Verwaltungsmitarbeiter*innen Wissen zu teilen fördert. Beide getesteten Interventionen (kollegiale Anerkennung, Vorteil in Leistungsbewertung) erhöhen die Intention zu teilen wenn explizites Wissen geteilt werden soll. Soll implizites Wissen geteilt werden, zeigen beide Interventionen keine Effekte. Daher können die getesteten motivationsstärkenden Anreize genutzt werden um explizite Wissensteilung zu fördern. Zur Erhöhung impliziter Wissensteilung werden Managementinstrumente diskutiert, die individuelle Fähigkeiten stärken und Gelegenheiten zur Wissensteilung erhöhen. Alles in allem integriert diese Arbeit eine Mikrolevel-Perspektive menschlichen Verhaltens in eine Mesolevel-Perspektive auf organisationales Wissensmanagement. Sie trägt zur Literatur zum Arbeitsverhalten von Verwaltungsmitarbeiter*innen und zur Wissensmanagementliteratur bei and bringt das Thema der Wissensteilung in die verwaltungswissenschaftliche Literatur ein. KW - public management KW - knowledge sharing KW - knowledge management KW - knowledge sharing motivation KW - scale development KW - survey experiment KW - öffentliche BWL KW - Wissensteilung KW - Wissensmanagement KW - Motivation zur Wissensteilung KW - Skalenentwicklung KW - Survey-Experiment Y1 - 2020 ER -