scholarly journals Business Model Transformation of Legacy Newspapers in The Age of The Digital Attention Economy

Author(s):  
Nils Arne Bakke ◽  
Jens Barland ◽  
Arild Fetveit

This chapter explores ways in which legacy newspapers may transform their business and operational models to ensure profitability and protect journalistic ideals. This transformation is explored through the lens of Norwegian media company Amedia, an early innovator. Our analysis sheds light on the ways in which the industry has come to understand the digital attention economy as defined through key innovations initiated by Google and Facebook. At Amedia, these innovations paved the way for a major corporate turnaround in which data harvesting and AI play major roles. The turnaround is still ongoing after seven years, but preliminary conclusions can be drawn. Within an ecological view of organizational adaption, this chapter proposes six theses about design requirements and transformation for legacy newspapers and concludes with four key findings: a) survivability will be difficult without the implementation of a new AI-operational model and business model built on software, b) a space is emerging that supports profitable quality journalism with strong commitments to veracity and fairness, c) most outlets still need advertising revenue to achieve profitability, and d) roles and skill-sets of top managers and journalists are undergoing major changes.

2011 ◽  
Vol 49 (4) ◽  
pp. 622-647 ◽  
Author(s):  
Jaakko Aspara ◽  
Juha‐Antti Lamberg ◽  
Arjo Laukia ◽  
Henrikki Tikkanen

2010 ◽  
Vol 138 (12) ◽  
pp. 4542-4560 ◽  
Author(s):  
John E. Janowiak ◽  
Peter Bauer ◽  
Wanqiu Wang ◽  
Phillip A. Arkin ◽  
Jon Gottschalck

Abstract In this paper, the results of an examination of precipitation forecasts for 1–30-day leads from global models run at the European Centre for Medium-Range Weather Forecasts (ECMWF) and the National Centers for Environmental Prediction (NCEP) during November 2007–February 2008 are presented. The performance of the model precipitation forecasts are examined in global and regional contexts, and results of a case study of precipitation variations that are associated with a moderate to strong Madden–Julian oscillation (MJO) event are presented. The precipitation forecasts from the ECMWF and NCEP operational prediction models have nearly identical temporal correlation with observed precipitation at forecast leads from 2 to 9 days over the Northern Hemisphere during the cool season, despite the higher resolution of the ECMWF operational model, while the ECMWF operational model forecasts are slightly better in the tropics and the Southern Hemisphere during the warm season. The ECMWF Re-Analysis Interim (ERA-Interim) precipitation forecasts perform only slightly worse than the NCEP operational model, while NCEP’s Climate Forecast System low-resolution coupled model forecasts perform the worst among the four models. In terms of bias, the ECMWF operational model performs the best among the four model forecasts that were examined, particularly with respect to the ITCZ regions in both the Atlantic and Pacific. Local temporal correlations that were computed on daily precipitation totals for day-2 forecasts against observations indicate that the operational models at ECMWF and NCEP perform the best during the 4-month study period, and that all of the models have low to insignificant correlations over land and over much of the tropics. They perform the best in subtropical and extratropical oceanic regions. Also presented are results that show that striking improvements have been made over the past two decades in the ability of the models to represent precipitation variations that are associated with MJO. The model precipitation forecasts exhibit the ability to characterize the evolution of precipitation variations during a moderate–strong period of MJO conditions for forecast leads as long as 10 days.


Author(s):  
Alla Osokina ◽  
◽  
Tetiana Mysyshyn ◽  

The purpose of this article is to describe the key aspects of the transformation of outdated business models of private healthcare institutions in Ukraine. The article supports the point that existing business models of private medical institutions could be improved based on assessing the quality of services provided and creating a unique value proposition using modern marketing tools for the development of business models. On the basis of the economically substantiated business model development strategy of «MEDICOM Anti-Aging Clinic», theoretical conclusions have been empirically confirmed and their applied significance has been proved.


2021 ◽  
pp. 97-110
Author(s):  
William W. Baber ◽  
Arto Ojala ◽  
Makoto Sarata ◽  
Muga Tsukamoto

2021 ◽  
pp. 39-50
Author(s):  
Michael Hepp ◽  
Stefan Detscher

Atmosphere ◽  
2019 ◽  
Vol 10 (10) ◽  
pp. 590
Author(s):  
Jury ◽  
Chiao ◽  
Cécé

Environmental influences on Hurricane Maria in the Antilles Islands are analyzed at the large-scale (1–25 September) and at the meso-scale (17–20 September 2017). The storm intensified rapidly prior to landfall in Dominica, going from category 1 to 5 in 15 h. As the storm progressed toward Puerto Rico (PR), its NE flank entrained air from seas cooled by the earlier passage of two hurricanes, and strengthened on its SW flank. Operational model forecasts tended to delay intensification until west of the Antilles Islands, thus motivating two independent weather research and forecasting (WRF) simulations. These gave minimal track errors at 1- to 3-day lead time. The simulation for landfall at Dominica on 19 September 2017 showed that a static nest with 0.8 km resolution using a Holland-type synthetic vortex and Yonsei University (YSU)/Kain-Fritsch schemes performed better; with a track error of 8 km and intensity error of 10 m/s. Our PR-area simulation of central pressure lagged 30 hPa behind observation; and caught up with reality by landfall in PR. The simulated rainband structure corresponded with Cloudsat observations over PR. Maria’s intensification occurred in an area of thermodynamic gradients included cooler SST in the right side of the track, so operational models with right-track bias were late in predicting intensification. Category-2 forecasts prior to 18 September 2017 left many Antilles islanders unprepared for the disaster that ensued.


2017 ◽  
Vol 44 (3) ◽  
pp. 61-74
Author(s):  
Mariusz Karwowski ◽  
Getruda Świderska

This article attempts to answer the question if there is a possibility of reporting information in financial statements about the realisation of a business model. For this purpose, the accounting system has been assessed. This assessment includes four stages: identification of a business model used by the company, identification of the accounting policies adopted by the company, assessment of the quality of information about the realised business model, transformation of the reported data from the accounting system to eliminate the distortions in the context of the business model. Verification of the above assessment was carried out on the basis of the financial statements of three developers.


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