A typology of cooperation strategies in the telecommunication industry: An exploratory analysis and theoretical foundations

The value chain of the telecommunication industry is subject to a continuing disintegration which is caused by outsourced network operation, the provisioning of wholesale interfaces to competing service providers and the cooperative provisioning of broadband access. Thus, many companies regard cooperation as an element of cooperate strategy. In this paper we propose a cooperation topology for the telecommunication industry and identify drivers of cooperation based on the assessment of case studies. The results indicate that drivers of cooperation differ with respect to the cooperation direction and that the combination of complementary resources is the dominating driver of cooperation. --Cooperation,telecommunication,typology of cooperation strategies,transaction costs

Co-opetition in next-generation access provisioning: An analysis of the German broadband market

The growing customer demand for next-generation access networks requires large investments into novel broadband infrastructures. Politicians, scientists and practitioners have been discussing the question if cooperation between today's broadband carriers can contribute to a cooperative setup of next-generation access networks. In order to advance this discussion we asses horizontal, vertical and diagonal cooperation between today's carriers based on a grounded theory approach. We base our findings on more than twenty-five expert interviews in eleven telecommunication companies of the German broadband market. Our results indicate that cooperation is currently primarily evolving at vertical and diagonal cooperation interfaces. Moreover, the German broadband provisioning market is heading towards a continuously deconstructed telecommunication value chain and standardized wholesale products which are primarily offered at vertical and diagonal cooperation interfaces

(Acetonitrile-κN)[2-(diphenylphosphan­yl)ethanamine-κ2 N,P][(1,2,3,4,5-η)-1,2,3,4,5-pentamethylcyclopentadienyl]iron(II) hexafluoridophosphate tetrahydrofuran monosolvate

In the title cationic Cp*Fe(II) complex, [Fe(C10H15)(CH3CN)(C14H16NP)]PF6·C4H8O, the metal ion is coordinated by the η 5-Cp* ring as well as the P and N atoms of the chelating 2-(diphenyl­phosphino)ethyl­amine ligand and an additional acetonitrile mol­ecule in a piano-chair conformation. The PF6 − anion is disordered over two sets of sites with occupancies of 0.779 (7) and 0.221 (7)

A typology of cooperation strategies in the telecommunication industry: An exploratory analysis and theoretical foundations

The value chain of the telecommunication industry is subject to a continuing disintegration which is caused by outsourced network operation, the provisioning of wholesale interfaces to competing service providers and the cooperative provisioning of broadband access. Thus, many companies regard cooperation as an element of cooperate strategy. In this paper we propose a cooperation topology for the telecommunication industry and identify drivers of cooperation based on the assessment of case studies. The results indicate that drivers of cooperation differ with respect to the cooperation direction and that the combination of complementary resources is the dominating driver of cooperation

Revenue distribution in a quality-centric internet interconnection market

The economic principals of today’s internet have facilitated the rapid development of the digital economy. However, contentproviders with business models that are based on Voice over IP, internet-based TV or Software-as-a-Service have higherquality requirements than other internet companies. Thus, network operators are discussing the introduction of qualitydifferentiated transport classes (QoS). This article uses the methodology of agent-based computational economics (ACE) toassess the economics of a QoS interconnection market. Based on real-world market data we choose a representative set ofnetworks for simulating the value distribution among different network types in three market phases. Moreover, we analyzewhich network properties correlate with market success. The results suggest that content providers have strong incentives toestablish direct interconnections with access providers. Thus, transit providers will be bypassed and face falling revenues.Access network providers will be able to collect most transport revenues and refinance infrastructure investments

BUSINESS MODEL COMPETITION IN THE CONTENT DELIVERY MARKET - AN INFRASTRUCTURE ANALYSIS

The contribution of this paper is threefold. First, we characterize the participants of today\u27s commercial CDN market according to their business model and their set of resources. Second, we use real-world Internet topology data in order to infer CDN infrastructure resources that are associated with market success. Third, we use resource-dependency theory in order to assess if a cooperation of market participants with different business models can change the CDN market concentration based on its resources. Our results indicate that the most successful CDNs use a large number of direct interconnections with networks that are situated close to the content consuming end-customer in order to improve termination quality. Moreover, we can show that White Label CDNs are successful in acquiring the resources that are associated with market success. Finally, our results point out that a large ISP coalition which includes today?s Inhouse CDNs could reproduce the most important infrastructure properties of the current market leaders

The Optical Design of CHARIS: An Exoplanet IFS for the Subaru Telescope

High-contrast imaging techniques now make possible both imaging and spectroscopy of planets around nearby stars. We present the optical design for the Coronagraphic High Angular Resolution Imaging Spectrograph (CHARIS), a lenslet-based, cryogenic integral field spectrograph (IFS) for imaging exoplanets on the Subaru telescope. The IFS will provide spectral information for 138x138 spatial elements over a 2.07 arcsec x 2.07 arcsec field of view (FOV). CHARIS will operate in the near infrared (lambda = 1.15 - 2.5 microns) and will feature two spectral resolution modes of R = 18 (low-res mode) and R = 73 (high-res mode). Taking advantage of the Subaru telescope adaptive optics systems and coronagraphs (AO188 and SCExAO), CHARIS will provide sufficient contrast to obtain spectra of young self-luminous Jupiter-mass exoplanets. CHARIS will undergo CDR in October 2013 and is projected to have first light by the end of 2015. We report here on the current optical design of CHARIS and its unique innovations.Comment: 15 page

μ3-Oxido-tris­{dichlorido[1,3-bis­(1,3,5-trimethyl­phen­yl)imidazol-2-yl­idene]gold(III)} bis­(trifluoro­methane­sulfon­yl)imide–[bis­(trifluoro­methane­sulfon­yl)imide]­silver(I) (1/2)

The unusual trinuclear AuIII oxide title complex, [Au3Cl6O(C21H24N2)3](C2F6NO4S2)·2[Ag(C2F6NO4S2)], is the side product of the reaction of [1,3-bis­(1,3,5-trimethyl­phen­yl)imidazol-2-yl­idene]dichloridophenyl­gold(III) with silver bis­(trifluoro­methane­sulfon­yl)imide in the presence of traces of water. In contrast to corresponding AuI complexes, the core structure of the title compound is planar. Two silver(I) bis­(trifluoro­methane­sulfon­yl)imide units are loosely bound to the complex cation. Here the silver atoms, disordered over two positions in a 0.870 (2):0.130 (2) ratio, inter­act either with the lone pairs of three chlorine ligands or two chlorine ligands and one edge of the mesityl π-system. The crystal under investigation was a partial racemic twin

Data Reduction Pipeline for the CHARIS Integral-Field Spectrograph I: Detector Readout Calibration and Data Cube Extraction

We present the data reduction pipeline for CHARIS, a high-contrast integral-field spectrograph for the Subaru Telescope. The pipeline constructs a ramp from the raw reads using the measured nonlinear pixel response, and reconstructs the data cube using one of three extraction algorithms: aperture photometry, optimal extraction, or $\chi^2$ fitting. We measure and apply both a detector flatfield and a lenslet flatfield and reconstruct the wavelength- and position-dependent lenslet point-spread function (PSF) from images taken with a tunable laser. We use these measured PSFs to implement a $\chi^2$-based extraction of the data cube, with typical residuals of ~5% due to imperfect models of the undersampled lenslet PSFs. The full two-dimensional residual of the $\chi^2$ extraction allows us to model and remove correlated read noise, dramatically improving CHARIS' performance. The $\chi^2$ extraction produces a data cube that has been deconvolved with the line-spread function, and never performs any interpolations of either the data or the individual lenslet spectra. The extracted data cube also includes uncertainties for each spatial and spectral measurement. CHARIS' software is parallelized, written in Python and Cython, and freely available on github with a separate documentation page. Astrometric and spectrophotometric calibrations of the data cubes and PSF subtraction will be treated in a forthcoming paper.Comment: 18 pages, 15 figures, 3 tables, replaced with JATIS accepted version (emulateapj formatted here). Software at https://github.com/PrincetonUniversity/charis-dep and documentation at http://princetonuniversity.github.io/charis-de