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SERVICE INNOVATION AND SCALING UP INNOVATIVE SERVICE ECOSYSTEM: THE CASE OF EATALY
( Laura Di Pietro(post Phd) ),( Bo Edvardsson(full Professor) ),( Roberta Guglielmetti Mugion(post Phd) ),( Maria Francesca Renzi(full Professor) ),( Martina Toni ) 한국품질경영학회 2015 한국품질경영학회 학술대회 Vol.2015 No.2
Purpose - The aim of the study is to identify and analyze important drivers of why and how an innovative service ecosystem scale up. In this paper “scaling up” is treated as empirical phenomena that refer to the ability of an innovative business ecosystem to attract many new actors, in particular customers, and entering in new markets to become sustainable and social responsible. This study describes a sustainable service ecosystem to be consistent with the principles of corporate social responsibility (CSR), including economical, environmental, social and ethical dimensions. We selected one innovative business case (Eataly) providing rich data with explanatory power. Design/Methodology/approach - We present an in-depth case study on Eataly, a service eco-system, operating in the retail food sector, that introduced important service innovations in the traditional framework of resource integration and scaled up rapidly on national and international markets to become a global brand. Through the analysis of personal interviews carried out with the Eataly mangers and different available narratives about the company. We study and evaluate why and how a service ecosystem faced the scaling up process. Innovative service ecosystem are analyzed by using four interdependent concepts an innovative (1) value proposition, the engaged (2) actors roles responsibility, the constellation of (3) resources that enable value creation to be realize in line with value proposition and in context of (4) institutional arrangements, including social system structure. Findings - We develop a framework for analyzing scaling up innovative service ecosystems, in order to extend the existing knowledge by empirically providing the most important scaling up drivers. In this paper we use a multi-actor approach, but emphasize the perspective of the entrepreneur since we study businesses and conceptualize service innovation in the context of ecosystems that we know are sustainable financially, socially and environmentally. The identified main drivers are: 1) a distinctive customer experience; 2) actors engagement; 3) entrepreneur value proposition focus on growth; and 4) institutionalized values resonance. Originality/value - Some service ecosystems grow faster than others and thus are more successful in their scaling up; hence there is a lot to learn from such innovative service ecosystem. Nevertheless, there is no empirical study with an explicit focus on innovative service ecosystem scaling up. Hence, the present study provides new suggestions for future research on the scaling up drivers in innovative service ecosystem.
Optimal Tariffs and Retaliation with Perfect Foresight
Post, Gerald V. 세종대학교 국제경제연구소 1987 Journal of Economic Integration Vol.2 No.1
This paper extends the previous work in optimal tariffs and retaliation. The two types of retaliation considered before are based on a Cournot model and a Stackelberg model. The native belief on the part of at least one of the countries in these models is replaced by perfect foresight on the part of both countreis, in that each country knows how the other will respond to a change in tariffs. The problem is expressed as an infinite horizon dynamic programming model in which each country maximizes consumer or producer surplus, subject to the other country's reaction function.
Infrared probe of the bulk insulating response inBi2−xSbxTe3−ySeytopological insulator alloys
Post, K. W.,Lee, Y. S.,Chapler, B. C.,Schafgans, A. A.,Novak, Mario,Taskin, A. A.,Segawa, Kouji,Goldflam, M. D.,Stinson, H. T.,Ando, Yoichi,Basov, D. N. American Physical Society 2015 Physical review. B, Condensed matter and materials Vol.91 No.16
Lin Shiyao,Post Alex,Waas Anthony M 한국CDE학회 2024 Journal of computational design and engineering Vol.11 No.1
Computational progressive failure analysis of carbon fiber reinforced polymer composite is of vital importance in the verification and validation process of the structural integrity and damage tolerance of modern lightweight aeronautical structures. Enhanced Schapery theory (EST) has been developed and applied to predict the damage pattern and load-bearing capacity of various composite structures. In this paper, EST is enhanced by a deep neural network (DNN) model, which enables fast and accurate predictions of matrix cracking angles under arbitrary stress states of any composite laminate. The DNN model is trained by TensorFlow based on data generated by a damage initiation criterion, which originates from the Mohr–Coulomb failure theory. The EST-DNN model is applied to open-hole tension/compression problems. The results from the EST-DNN model are obtained with no loss in accuracy. The results presented combine the efficient and accurate predicting capabilities brought by machine learning tools and the robustness and user-friendliness of the EST finite element model.
Overton, Kristen,Varma, Rick,Post, Jeffrey J. The Korean Academy of Tuberculosis and Respiratory 2018 Tuberculosis and Respiratory Diseases Vol.81 No.1
Background: It remains uncertain if $interferon-{\gamma}$ release assays (IGRAs) are superior to the tuberculin skin test (TST) for the diagnosis of active tuberculosis (TB) or latent tuberculosis infection (LTBI) in immunosuppressed populations including people with human immunodeficiency virus (HIV) infection. The purpose of this study was to systematically review the performance of IGRAs and the TST in people with HIV with active TB or LTBI in low and high prevalence TB countries. Methods: We searched the MEDLINE database from 1966 through to January 2017 for studies that compared results of the TST with either the commercial QuantiFERON-TB Gold in Tube (QFTGT) assay or previous assay versions, the T-SPOT.TB assay or in-house IGRAs. Data were summarized by TB prevalence. Tests for concordance and differences in proportions were undertaken as appropriate. The variation in study methodology was appraised. Results: Thirty-two studies including 4,856 HIV subjects met the search criteria. Fourteen studies compared the tests in subjects with LTBI in low TB prevalence settings. The QFTGT had a similar rate of reactivity to the TST, although the first-generation version of that assay was reactive more commonly. IGRAs were more frequently positive than the TST in HIV infected subjects with active TB. There was considerable study methodology and population heterogeneity, and generally low concordance between tests. Both the TST and IGRAs were affected by CD4 T-cell immunodeficiency. Conclusion: Our review of comparative data does not provide robust evidence to support the assertion that the IGRAs are superior to the TST when used in HIV infected subjects to diagnose either active TB or LTBI.