Tracing Ideas From Langley (1999): Exemplars, Adaptations, Considerations, and Overlooked

2020 ◽  
pp. 109442812091551
Author(s):  
Michael P. Lerman ◽  
Nick Mmbaga ◽  
Anne Smith

Well-accepted methodological practices require thoughtful and appropriate use to avoid becoming mindlessly applied and distorted. We review how ideas from Langley’s (1999) process data analysis article have been used in practice. By closely analyzing 176 empirical articles in management and organization journals from 1999 to 2019, we highlight how Langley’s ideas have been applied in exemplary ways and adapted through bricolage (a central concept in qualitative methods). In many instances, we found that Langley’s ideas have been given a cursory nod or have even been distorted (what we label as considerations); thus, we recommend how to avoid replicating these applications. We discuss process data analysis tools from Langley’s article that have been underused (labeled overlooked) but that may be valuable in future process studies. Through our deep reading and review, we highlight how using Langley’s ideas can enhance the transparency and trustworthiness of a qualitative process study and mitigate her ideas’ movement toward a mindless template application.

2021 ◽  
Vol 786 (1) ◽  
pp. 012010
Author(s):  
A M Kumratova ◽  
E V Popova ◽  
L O Velikanova ◽  
I I Vasilenko ◽  
M I Popova

2021 ◽  
pp. 097152312199334
Author(s):  
Khandakar Farid Uddin

Governance can help minimise the effects of catastrophes. Countries had some time to prepare for the current coronavirus disease 2019 (COVID-19) pandemic, but some did not use it to improve their arrangements. This research investigates several countries’ governance strategies, develops a governance model and critically analyses Bangladesh’s failure as a case of governance catastrophe. This study applies qualitative methods of textual data analysis to explore data sourced from current newspapers, blogs, websites, journal articles and books to determine the most appropriate evidence and generate connections and interpretations. The COVID-19 pandemic has had devastating consequences for all countries; however, the different national responses have provided the opportunity to measure governments’ capability in addressing the crisis. Governments need to study the current COVID-19 response and enhance their governance capacities to minimise the spread of infection and to prepare for the challenge of socio-economic recovery.


Solid Earth ◽  
2011 ◽  
Vol 2 (1) ◽  
pp. 53-63 ◽  
Author(s):  
S. Tavani ◽  
P. Arbues ◽  
M. Snidero ◽  
N. Carrera ◽  
J. A. Muñoz

Abstract. In this work we present the Open Plot Project, an open-source software for structural data analysis, including a 3-D environment. The software includes many classical functionalities of structural data analysis tools, like stereoplot, contouring, tensorial regression, scatterplots, histograms and transect analysis. In addition, efficient filtering tools are present allowing the selection of data according to their attributes, including spatial distribution and orientation. This first alpha release represents a stand-alone toolkit for structural data analysis. The presence of a 3-D environment with digitalising tools allows the integration of structural data with information extracted from georeferenced images to produce structurally validated dip domains. This, coupled with many import/export facilities, allows easy incorporation of structural analyses in workflows for 3-D geological modelling. Accordingly, Open Plot Project also candidates as a structural add-on for 3-D geological modelling software. The software (for both Windows and Linux O.S.), the User Manual, a set of example movies (complementary to the User Manual), and the source code are provided as Supplement. We intend the publication of the source code to set the foundation for free, public software that, hopefully, the structural geologists' community will use, modify, and implement. The creation of additional public controls/tools is strongly encouraged.


2011 ◽  
Vol 3 (2) ◽  
pp. 305-318 ◽  
Author(s):  
Michele Crosetto ◽  
Oriol Monserrat ◽  
María Cuevas ◽  
Bruno Crippa

2021 ◽  
Author(s):  
Scott A. Jarmusch ◽  
Justin J. J. van der Hooft ◽  
Pieter C. Dorrestein ◽  
Alan K. Jarmusch

This review covers the current and potential use of mass spectrometry-based metabolomics data mining in natural products. Public data, metadata, databases and data analysis tools are critical. The value and success of data mining rely on community participation.


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