Becoming a Data-Driven Organization: A Comparative Case Study on Digital Transformation Strategies

In today’s data-centric era, organizations increasingly aim to operate more data-driven and therefore engage in digital transformations toward becoming a data-driven organization (DDO). To govern such transformations, top managers develop digital transformation strategies (DTS) characterized by different organizational ambidexterity approaches. This study analyzes how such DTS influence the process and (intermediate) outcomes of organizations’ digital transformations toward becoming a DDO by studying two organizations undertaking such DDO transformations using the concept of organizational ambidexterity as a theoretical lens. On this empirical basis, we find that DTS characterized by different organizational ambidexterity approaches lead to different transformation processes and (intermediate) outcomes. Thereby, this study contributes to existing academic literature in the field of DDOs and DTS, as such transformation journeys toward becoming a DDO have not been studied in its entirety yet. Furthermore, our paper offers practical guidance for top managers to develop and implement a DTS suitable for their organization

Mean-Field Analysis of Intra-Unit-Cell Order in the Emery Model of the CuO2_2 Plane

Motivated by recent experiments on high-$T_c$ cuprate superconductors pointing towards intra-unit-cell order in the pseudogap phase, we investigate three distinct intra-unit-cell-ordering possibilities: nematic, nematic-spin-nematic, and current-loop order. The first two are Fermi-surface instabilities involving a spontaneous charge and magnetization imbalance between the two oxygen sites in the unit cell, respectively, while the third describes circulating currents within the unit cell. We analyze the three-band Emery model of a single CuO$_2$ layer including various on-site and nearest-neighbor interactions within a self-consistent mean-field approach. We show how these on-site and further-neighbor repulsions suppress or enhance particular IUC orders. In particular, we show that the attractive interactions necessary for nematic and nematic-spin-nematic orders in one-band models have their natural microscopic origin in the O-O on-site and nearest-neighbor repulsions in the three-band model. Finally, we find that while the nematic and nematic-spin-nematic orders cannot coexist in this framework, the loop-current order can coexist with nematic order

Peer Buddy or Expert? – On the Avatar Design of a Virtual Coach for Obesity Patients

Morbid obesity in association with comorbidities is a considerable burden for the healthcare systems worldwide. Long-term weight loss maintenance requires sustainable behavioral changes but poor adherence is a significant problem in obesity care today and patients often relapse. Prior research has found conversational agents with of a humanoid representation (avatar) embodying the role of a virtual coach useful for the interface of health behavior change support systems. Regarding the avatar design, the coach could, e.g., take the role of an obese “peer buddy” or a lean “expert”. Based on requirements and design principles derived from the literature, the present study investigates how the avatar should be designed. Therefore, two patient surveys were conducted to evaluate static and dynamic representations of potential coaches. The results suggest that patients welcome the concept and lean “expert” coaches might be more suitable in an obesity context. Design implications for future research are derived and discussed

Embarking on the Digital Transformation Journey Toward a Data-Driven Organization: Empirical Insights Into Transformation Starting Points

Organizations are increasingly initiating and expanding their digital transformation initiatives to become more data-driven. Given that such digital transformations are highly complex and idiosyncratic endeavors, organizations striving to become a data-driven organization (DDO) have many options on where to start. To better understand such transformation starting points, we analyzed 13 companies of various industries and sizes currently undertaking DDO transformations. On this empirical basis, we find that top-level managers embark on transformation journeys by either focusing on the transformation foundations (asset-driven, workforce-driven), or on the outcome (exploitative use case-driven, explorative use case-driven), with each starting point showing different DDO elements being addressed first. Our data suggest that the selection of a specific starting point is mainly based on managers’ understandings of a DDO and the motivation to become such an organization. Finally, our work points to advantages and disadvantages of the respective starting points. Contributions and practical implications are discussed

Mit bislang verschollenen Werbeschriften des Deutschen Museums (1776–1789) und der Berlinischen Monatsschrift (1783–1796)

Dieser Beitrag ist mit Zustimmung des Rechteinhabers (De Gruyter) frei zugänglich.On the basis of newly discovered Avertissements, this paper reconstructs the process of founding the popular journals Teutscher Merkur, Deutsches Museum, and Berlinische Monatsschrift in the late eighteenth century. The Avertissements were meant to attract new readers and writers to the newly founded journal. By comparing and analyzing these short programmatic texts, the paper shows how, by developing new strategies of distribution and reader participation, the three monthlies established the concept of the Nationaljournal.Peer Reviewe

Retrieval of daytime total columnar water vapour from MODIS measurements over land surfaces

A retrieval of total column water vapour (TCWV) from MODIS (Moderate- resolution Imaging Spectroradiometer) measurements is presented. The algorithm is adapted from a retrieval for MERIS (Medium Resolution Imaging Spectrometer) from Lindstrot et al. (2012). It obtains the TCWV for cloud-free scenes above land at spatial resolution of 1 km×1 km and provides uncertainties on a pixel- by-pixel basis. The algorithm has been extended by introducing correction coefficients for the transmittance calculation within the forward operator. With that a wet bias of the MODIS algorithm against ARMMicrowave Radiometer data has been eliminated. An extensive validation against other ground-based measurements (GNSS-water vapour stations, GUAN Radiosondes) on a global scale reveals a bias between −0.8 and −1.6mm and root mean square deviations between 0.9 and 1.9 mm. This is an improvement in comparison to the operational TCWV Level 2 product (bias between −1.9 and −3.2mm and root mean square deviations between 1.9 and 2.7 mm)