Qualitative Inhaltsanalyse

Mayring, Philipp; Fenzl, Thomas

doi:10.1007/978-3-531-18939-0_38

Cited by 1,161 publications

(775 citation statements)

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“…The steps are material collection, descriptive analysis of the material, selection of the main conceptual categories and evaluation of the material pertaining to these categories (Mayring 2000b).…”

Section: Methodsmentioning

confidence: 99%

How network-based incubation helps start-up performance: a systematic review against the background of management theories

2016

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The literature on how network-based incubation influences the performance of technology-based start-ups has recently grown considerably and provided valuable insights. However, at the same time this literature has become quite fragmented, inconsistently conceptualised, and theoretically underdeveloped. Therefore, this article uses three management theories to structure the literature, improve the theoretical underpinning and develop an agenda for further research. The management theories are the resourcebased view, knowledge-based view, organisational learning, and social capital theory. We find that the network-based incubation literature has convincingly shown that networkbased incubation provides start-ups with resources, capabilities, knowledge, learning and social capital. However, the influence of these intermediary benefits on start-up performance is ambiguous. There is a considerable opportunity to advance the network-based incubation literature with contemporary insights from management theories. We propose an agenda for further research on network-based incubation that leads to a fine-grained model of the mechanisms and impact of network-based incubation that goes beyond taken for granted assumptions about the positive impact of network-based incubation.

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Section: Methodsmentioning

confidence: 99%

How network-based incubation helps start-up performance: a systematic review against the background of management theories

2016

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“…To this point, the process of content analysis consists of four iterative steps [35,36]. These steps are defined as follows [3,35]:…”

Section: Methodsmentioning

confidence: 99%

Environmentally Concerned Logistics Operations in Fuzzy Environment: A Literature Survey

et al. 2017

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Abstract:Growing environmental awareness coupled with stricter governmental regulations has fueled the need for integrating sustainability into supply chain and logistics activities. Accordingly, recent studies in the literature have emphasized the significance of environmentally concerned logistics operations (ECLO). Research in the broad area of ECLO encompasses a wide range of topics including sustainable supply chain, green supply chain, closed-loop supply chain, low-carbon logistics, and waste management. In this paper, a comprehensive content analysis and area review is presented. Over 800 papers published between 1994 and 2017 in peer-reviewed journals, proceedings, and book chapters are utilized. These papers are analyzed in consecutive stages after being reviewed under a structural dimension process that addresses the fields of environmentally concerned logistics operations. Following the state-of-the-art review, a detailed analysis of ECLO research with a special emphasis on fuzzy applications is provided. The findings clearly indicate that the fuzzy multi-criteria decision making technique is a frequently used hybrid method, whereas fuzzy sets theory and other fuzzy hybrid techniques identify a gap in the related literature. This paper provides further critical analysis and other research suggestions in order to clarify these gaps and offer additional research perspectives. This information may provide extensive data that will enable future researchers to fill these gaps within this field.

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“…The first stage included the analysis of the content of existing publications in order to examine current use scenarios, protagonists, and field of research (Mayring 2000;. Experts were asked to examine the most respected conferences and publications.…”

Section: Methodsmentioning

confidence: 99%