Scaling Agility in Incumbent Firms: A Literature Review

Scaling agility as a process of applying agile concepts to more extensive parts of the organization promises incumbent firms to achieve the same benefits as their digital competitors. However, copying digital-born companies\u27 approaches seems problematic, as incumbent firms are distinct from their digital competitors. Thus, this research aims to consolidate what we know about scaling agility in incumbent firms. To answer this question, I conduct a structured literature review to understand scaling agility for incumbent firms better, resulting in the four dimensions of structure, methodology, governance, and dependencies with nine themes: coordination, processes, roles, effectiveness, risk management, budgeting, measurement, architecture, and culture/mindset. Moreover, the review develops six avenues for future research. With this, the literature review provides an integrative picture of scaling agility, enhances conceptual clarity, and helps practitioners by providing an overview to use in their efforts to scaling agility in incumbent firms

Designing Scaled-agile Organizations: A Taxonomy of Design Criteria

Scaled-agile organizations (SAOs) have emerged as a popular response to the rapid digital transformation of entire industries. However, we currently lack a conceptual understanding of potential design choices of SAOs and calls for effective organizational structures remain only partially answered. Hence, we seek to answer the question of how different designs affect the implementation of SAOs in incumbent organizations. We do this by developing a taxonomy following the approach by Nickerson et al. and based on data from six cases studies. Our findings provide a taxonomy that identifies a set of eight design criteria across two levels. The taxonomy advances our understanding of the different SAO designs and helps to increase the conceptual clarity of SAOs. We provide a valuable basis for further research and supply practical insights

“Who Am I When Everything has Changed?” The Impact of Scaled-agile Organizations on Professional Role Identity

As digital technology continues to advance, organizations require more flexibility to meet the needs of their customers and remain competitive. To do so, many incumbent organizations fundamentally change their established structures and processes to implement scaled-agile organizations (SAO), emulating digital organizations and leveraging development speed and customer focus. However, when everything changes, there are significant effects on the employees’ identities. Thus, we explore how implementing an SAO affects employees’ professional role identities (PRI). The paper follows a case study approach analyzing two cases with 21 interviews, observational, and secondary data collected over a period of 18 months. We contribute to the literature by identifying three effects of an SAO implementation on PRI (threat, empowerment, and extension) and describing how individuals react based on the effect on their PRI. We inform practitioners on the overall SAO implementation process and consequences for professionals, offering a new perspective on organizational transformation challenges

Imago van de Veenkoloniën: onderzoeksrapport

Het voornaamste doel van het onderzoek is achterhalen welk beeld mensen binnen de Veenkoloniën van het gebied hebben. De probleemstelling die hierbij hoort is: Welke factoren spelen een rol bij de algehele beeldvorming van het gebied de Veenkoloniën bij de mensen? Onderzoek is gedaan door middel van face-to-face vragen aan mensen die in het gebied wonen. Deze vragen waren aangeleverd door de Rijksuniversiteit Groningen. De resultaten zijn van belang voor de beleidsvoerders van de Veenkoloniën en de beslissingen die zij in de toekomst moeten gaan maken. In verband met beperkingen bij het uitvoeren van het onderzoek is er in dit verslag slechts gekeken naar het beeld dat mensen van binnen de Veenkoloniën van het gebied hebben De resultaten van de enquêtes buiten de Veenkoloniën zijn buiten beschouwing gelaten. Studentonderzoek in het kader van het thema Werklandschappen

Spatially autocorrelated training and validation samples inflate performance assessment of convolutional neural networks

Deep learning and particularly Convolutional Neural Networks (CNN) in concert with remote sensing are becoming standard analytical tools in the geosciences. A series of studies has presented the seemingly outstanding performance of CNN for predictive modelling. However, the predictive performance of such models is commonly estimated using random cross-validation, which does not account for spatial autocorrelation between training and validation data. Independent of the analytical method, such spatial dependence will inevitably inflate the estimated model performance. This problem is ignored in most CNN-related studies and suggests a flaw in their validation procedure. Here, we demonstrate how neglecting spatial autocorrelation during cross-validation leads to an optimistic model performance assessment, using the example of a tree species segmentation problem in multiple, spatially distributed drone image acquisitions. We evaluated CNN-based predictions with test data sampled from 1) randomly sampled hold-outs and 2) spatially blocked hold-outs. Assuming that a block cross-validation provides a realistic model performance, a validation with randomly sampled holdouts overestimated the model performance by up to 28%. Smaller training sample size increased this optimism. Spatial autocorrelation among observations was significantly higher within than between different remote sensing acquisitions. Thus, model performance should be tested with spatial cross-validation strategies and multiple independent remote sensing acquisitions. Otherwise, the estimated performance of any geospatial deep learning method is likely to be overestimated

Crises, Rumours and Reposts: Journalists’ Social Media Content Gathering and Verification Practices in Breaking News Situations

Social media (SoMe) platforms provide potentially important information for news journalists during everyday work and in crisis-related contexts. The aims of this study were (a) to map central journalistic challenges and emerging practices related to using SoMe for collecting and validating newsworthy content; and (b) to investigate how practices may contribute to a user-friendly design of a web-based SoMe content validation toolset. Interviews were carried out with 22 journalists from three European countries. Information about journalistic work tasks was also collected during a crisis training scenario (N = 5). Results showed that participants experienced challenges with filtering and estimating trustworthiness of SoMe content. These challenges were especially due to the vast overall amount of information, and the need to monitor several platforms simultaneously. To support improved situational awareness in journalistic work during crises, a user-friendly tool should provide content search results representing several media formats and gathered from a diversity of platforms, presented in easy-to-approach visualizations. The final decision-making about content and source trustworthiness should, however, remain as a manual journalistic task, as the sample would not trust an automated estimation based on tool algorithms.Peer reviewe

Sr-Nd-Pb-Hf isotope results from ODP Leg 187: Evidence for mantle dynamics of the Australian-Antarctic Discordance and origin of the Indian MORB source

New high precision PIMMS Hf and Pb isotope data for 14–28 Ma basalts recovered during ODP Leg 187 are compared with zero-age dredge samples from the Australian-Antarctic Discordance (AAD). These new data show that combined Nd-Hf isotope systematics can be used as an effective discriminant between Indian and Pacific MORB source mantle domains. In particular, Indian mantle is displaced to lower εNd and higher εHf ratios compared to Pacific mantle. As with Pb isotope plots, there is almost no overlap between the two mantle types in Nd-Hf isotope space. On the basis of our new Nd-Hf isotope data, we demonstrate that Pacific MORB-source mantle was present near the eastern margin of the AAD from as early as 28 Ma, its boundary with Indian MORB-source mantle coinciding with the eastern edge of a basin-wide arcuate depth anomaly that is centered on the AAD. This observation rules out models requiring rapid migration of Pacific MORB mantle into the Indian Ocean basin since separation of Australia from Antarctica. Although temporal variations in isotopic composition can be discerned relative to the fracture zone boundary of the modern AAD at 127°E, the distribution of different compositional groups appears to have remained much the same relative to the position of the residual depth anomaly for the past 30 m.y. Thus significant lateral flow of mantle along the ridge axis toward the interface appears unlikely. Instead, the dynamics that maintain both the residual depth anomaly and the isotopic boundary between Indian and Pacific mantle are due to eastward migration of the Australian and Antarctic plates over a stagnated, but slowly upwelling, slab oriented roughly orthogonal to the ridge axis. Temporal and spatial variations in the compositions of Indian MORB basalts within the AAD can be explained by progressive displacement of shallower Indian MORB-source mantle by deeper mantle having a higher εHf composition ascending ahead of the upwelling slab. Models for the origin of the distinctive composition of the Indian MORB-source based on recycling of a heterogeneous enriched component that consist of ancient altered ocean crust plus<10% pelagic sediment are inconsistent with Nd-Hf isotope systematics. Instead, the data can be explained by a model in which Indian mantle includes a significant proportion of material that was processed in the mantle wedge above a subduction zone and was subsequently mixed back into unprocessed upper mantle

An Architectural Design for Measurement Uncertainty Evaluation in Cyber-Physical Systems

Several use cases from the areas of manufacturing and process industry, require highly accurate sensor data. As sensors always have some degree of uncertainty, methods are needed to increase their reliability. The common approach is to regularly calibrate the devices to enable traceability according to national standards and Syst\`eme international (SI) units - which follows costly processes. However, sensor networks can also be represented as Cyber Physical Systems (CPS) and a single sensor can have a digital representation (Digital Twin) to use its data further on. To propagate uncertainty in a reliable way in the network, we present a system architecture to communicate measurement uncertainties in sensor networks utilizing the concept of Asset Administration Shells alongside methods from the domain of Organic Computing. The presented approach contains methods for uncertainty propagation as well as concepts from the Machine Learning domain that combine the need for an accurate uncertainty estimation. The mathematical description of the metrological uncertainty of fused or propagated values can be seen as a first step towards the development of a harmonized approach for uncertainty in distributed CPSs in the context of Industrie 4.0. In this paper, we present basic use cases, conceptual ideas and an agenda of how to proceed further on.Comment: accepted at FedCSIS 202