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Rethinking sustainability strategy in Estonian wood manufacturing firms
(2026) Kotov, Arseni; Durst, Susanne; Gerstlberger, Wolfgang Dieter; Department of Business and Economics
Sustainability-oriented innovation (SOI) is an increasingly important means for manufacturing firms to address environmental and social challenges while securing economic returns. Manufacturers exposed to similar sustainability pressures respond to them in strategically different ways. In this study, we examine this variation through the lens of behavioral strategy, focusing on the cognitive foundations of strategic reasoning about SOI. More specifically, we ask what mental representations underlie decision-makers’ reasoning about SOI, how these are updated, and how they are associated with patterns of strategic search. Drawing on a qualitative analysis of interview data from export-oriented wood manufacturing firms in Estonia, we identify three recurring representations of sustainability: inherent and operationally settled, externally prescribed, and evaluatively unsettled. In turn, these representations are translated into judgments about specific alternatives through three evaluative filters: definition, relevance, and feasibility. As new pressures arrive, they typically reinforce the criteria already in use rather than alter the representations themselves, so firms’ search for new options remains incremental. This study operationalizes insights from behavioral strategy for SOI, locating the source of its incrementalism less in what firms attend to but in the evaluative criteria through which decision-makers judge possible responses.
Verk
Rethinking Sustainability in Human Resource Management
(2022-06-01) Edvardsson, Ingi Runar; Durst, Susanne; Department of Business and Economics
Verk
Human resource management in crisis situations : A systematic literature review
(2021-11-01) Edvardsson, Ingi Runar; Durst, Susanne; Department of Business and Economics
The paper aims to present a systematic literature review in the field of human resource management in times of crisis since 2008. In that way gaps in the current body of knowledge can be established that justify future research guidelines. The study consists of an analysis of 56 articles published in journals indexed in the Web of Science database. The majority of the papers were published in recent years, indicating a growing interest in the field. To be included, the papers had to be (1) peer-reviewed papers, (2) empirical papers that report on HRM practices in firms, (3) written in English, and (4) published in the period 2008–2021. Four themes were identified: economic crisis and HRM, health crisis and HRM, natural disasters and HRM, and political instability and HRM. The findings provide valuable knowledge and understanding of the present situation of HRM in crises. A number of future research guidelines are presented, which may encourage more research in this crucial field of study.
Verk
Knowledge Leakages and Ways to Reduce Them in Small and Medium-Sized Enterprises (SMEs)
(2014-09) Durst, Susanne; Aisenberg Ferenhof, Helio; Department of Business and Economics
In this paper, we look into knowledge leakages and ways to address them. It is conducted from the point of view of small and medium-sized enterprises (SMEs), as their specific attributes create unique challenges. Based on a discussion of the relevant fields, ways are presented in order to reduce the danger of knowledge leakages. In view of practitioners, the paper’s findings may enable an increased awareness towards the areas where existing knowledge is at the mercy of “leakage”. This can assist managers of SMEs to better cope with risks related to knowledge leakage and, therefore, better exploit the (limited) knowledge base available.
Verk
What can be approximated locally? Case study : Dominating sets in planar graphs
(2008) Lenzen, Christoph; Oswald, Yvonne Anne; Wattenhofer, Roger; Department of Computer Science
Whether local algorithms can compute constant approximations of NP-hard problems is of both practical and theoretical interest. So far, no algorithms achieving this goal are known, as either the approximation ratio or the running time exceed O(l), or the nodes are provided with non-trivial additional information. In this paper, we present the first distributed algorithm approximating a minimum dominating set on a planar graph within a constant factor in constant time. Moreover, the nodes do not need any additional information.

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