scholarly journals EXPRESS: The Performance Impact Of Core Component Outsourcing: Insights From The LCD TV Industry

2021 ◽  
pp. 002224372110107
Author(s):  
Madhu Viswanathan ◽  
Prokriti Mukherji ◽  
Om Narasimhan ◽  
Rajesh Chandy
Keyword(s):  
Product Performance ◽  
Core Component ◽  
Flat Panel ◽  
Performance Impact ◽  
Television Industry ◽  
Technology Markets ◽  
Core Components ◽  
Opposing Effects ◽  
Product Costs ◽  
Intensity Of Competition

Firms in technology markets often outsource the manufacture of core components – components that are central to product performance and comprise a substantial portion of product costs. Despite the strategic importance of core component outsourcing, there is little empirical evidence (and many conflicting opinions) about its impact on consumer demand. We address this gap with an examination of panel data from the flat panel television industry, across key regions globally. Results from our estimation indicate that core component outsourcing reduces the firm’s ability to be on the technological frontier; this hurts demand, because our estimates suggest that consumers care about firms being on the frontier. On the other hand, such outsourcing also reduces costs. Finally, we find that outsourcing increases the intensity of competition in the marketplace. We assess these (often opposing) effects, and conduct thought experiments to quantify the performance impact of core component outsourcing.

Why Some New Products are More Successful than Others

2001 ◽  
Vol 38 (3) ◽  
pp. 362-375 ◽  
Author(s):  
David H. Henard ◽  
David M. Szymanski
Keyword(s):  
Meta Analysis ◽  
New Product ◽  
Market Potential ◽  
Product Performance ◽  
Product Introduction ◽  
Technology Markets ◽  
Noticeable Increase ◽  
Product Success ◽  
New Product Performance ◽  
Management Reporting

Product innovation is increasingly valued as a key component of the sustainable success of a business's operations. As a result, there has been a noticeable increase in the number of studies directed at explicating the drivers of new product success. To help managers and researchers synthesize this growing body of evidence, the authors conduct a meta-analysis of the new product performance literature. Of the 24 predictors of new product performance investigated, product advantage, market potential, meeting customer needs, predevelopment task proficiencies, and dedicated resources, on average, have the most significant impact on new product performance. The authors also find that the predictor–performance relationships can vary by measurement factor (e.g., the use of multi-item scales, subjective versus objective measures of performance, senior versus project management reporting, time elapsed since product introduction) or contextual factor (e.g., services versus goods, Asian versus North American markets, competition in high-technology versus low-technology markets). They discuss the implications of these findings and offer directions for further research.

Product Performance Evolution Prediction by Lotka-Volterra Equations

2017 ◽  
Author(s):  
Guanglu Zhang ◽  
Daniel A. McAdams ◽  
Milad Mohammadi Darani ◽  
Venkatesh Shankar
Keyword(s):  
Time History ◽  
Evaluation Process ◽  
Development Planning ◽  
Performance Data ◽  
Product Performance ◽  
Volterra Equations ◽  
Performance Impact ◽  
Frame Design ◽  
Curve Model ◽  
S Curve

During the development planning of a new product, designers rely on the prediction of the product performance to make business investments and frame design strategy. The S-curve model is commonly used for this purpose, but it has several drawbacks. A significant volume of product performance data doesn’t fit well with an S-curve. An S-curve model is also not capable of showing what factors shape the future performance of a product and how designers can change it. In this paper, Lotka-Volterra equations, which subsume both the logistic S-curve model and Moore’s Law, are used to describe the interaction between a product (system technology) and the components and elements (component technologies) that are combined to form the product. The equations are simplified by a relationship table and a maturation evaluation process as a two-step simplification. The historical performance data of the system and its components are fitted by the simplified Lotka-Volterra equations. The methods developed here allow designers to predict the performances of a product and its components quantitatively by the simplified Lotka-Volterra equations. The methods also shed light on the extent of performance impact from a specific module on a product, which is valuable for identifying the key features of a product and thus making outsourcing decisions. Smart phones are used as an example to demonstrate the two-step simplification. The data fitting method is validated by the time history performance data of airliners and turbofan aero-engines.

scholarly journals The CORE (Consensus on Relevant Elements) Approach to Determining Initial Core Components of an Innovation

2021 ◽  
Vol 1 ◽  
Author(s):  
Emily H. Kalver ◽  
D. Keith McInnes ◽  
Vera Yakovchenko ◽  
Justeen Hyde ◽  
Beth Ann Petrakis ◽  
...  
Keyword(s):  
Group Discussion ◽  
Military Veterans ◽  
Future Research ◽  
Core Component ◽  
Critical Gap ◽  
The Core ◽  
Multi Stage ◽  
Core Components ◽  
Stage Process ◽  
Individual Core

Identifying an intervention's core components is indispensable to gauging whether an intervention is implemented with fidelity and/or is modified; it is often a multi-stage process, starting with the first stage of identifying an initial set of core components that are gradually refined. This first stage of identifying initial core components has not been thoroughly examined. Without a clear set of steps to follow, interventions may vary in the rigor and thought applied to identifying their initial core components. We devised the CORE (Consensus on Relevant Elements) approach to synthesize opinions of intervention developers/implementers to identify an intervention's initial core components, particularly applicable to innovative interventions. We applied CORE to a peer-based intervention that aids military veterans with post-incarceration community reintegration. Our CORE application involved four intervention developers/implementers and two moderators to facilitate the seven CORE steps. Our CORE application had two iterations, moving through Steps 1 (individual core component suggestions) through 7 (group discussion for consensus), then repeating Steps 4 (consolidation of component definitions) through 7. This resulted in 18 consensus-reached initial core components of the peer-based intervention, down from the 60 that the developers/implementers individually suggested at Step 1. Removed components were deemed to not threaten the intervention's effectiveness even if absent. CORE contributes to filling a critical gap regarding identifying an intervention's initial core components (so that the identified components can be subsequently refined), by providing concrete steps for synthesizing the knowledge of an intervention's developers/implementers. Future research should examine CORE's utility across various interventions and implementation settings.

scholarly journals Organizational knowledge management with Big Data. The foundation of using artificial intelligence

2017 ◽  
Vol 2 (1) ◽  
pp. 301-308 ◽  
Author(s):  
Daniel Paschek ◽  
Anca Mocan ◽  
Corina-Monica Dufour ◽  
Anca Draghici
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Knowledge Management ◽  
Organizational Knowledge ◽  
Knowledge Model ◽  
Core Component ◽  
Advantages And Disadvantages ◽  
The Core ◽  
Core Components ◽  
Framework Conditions

Abstract In the following paper the relevance of Knowledge Management (KM) as a foundation of Artificial Intelligence (AI) systems will be analyzed. The purpose of the work is the presentation of mandatory framework conditions for using AI with a special view on knowledge management for Big Data. Therefore the mandatory definitions of the core components will be described theoretically supported by practical examples. Based on literature, there will be done research and presentation of existing applications the relation between the knowledge management in the organization and big data as core component. To identify the relevant topics of using Big Data for knowledge management an analysis will be held up with digital companies. In addition, the main advantages and disadvantages will be depicted. The finding of the paper will be a recommendation of the developed Artificial Intelligence Knowledge Model for using Knowledge Management and Big Data for Artificial Intelligence decisions within the company.

scholarly journals The ESCRT Machinery regulates Retromer dependent Transcytosis of Septate Junction Components in Drosophila

eLife ◽  
2020 ◽  
Vol 9 ◽  
Author(s):  
Hendrik Pannen ◽  
Tim Rapp ◽  
Thomas Klein
Keyword(s):  
Physiological Role ◽  
Imaginal Discs ◽  
Septate Junction ◽  
Core Component ◽  
Anterograde Transport ◽  
Escrt Machinery ◽  
Transmission Electron ◽  
Core Components ◽  
Wing Imaginal Discs ◽  
Apical Localization

Loss of ESCRT function in Drosophila imaginal discs is known to cause neoplastic overgrowth fuelled by mis-regulation of signalling pathways. Its impact on junctional integrity, however, remains obscure. To dissect the events leading to neoplasia, we used transmission electron microscopy (TEM) on wing imaginal discs temporally depleted of the ESCRT-III core component Shrub. We find a specific requirement for Shrub in maintaining Septate Junction (SJ) integrity by transporting the Claudin Megatrachea (Mega) to the SJ. In absence of Shrub function, Mega is lost from the SJ and becomes trapped on endosomes coated with the endosomal retrieval machinery Retromer. We show that ESCRT function is required for apical localization and mobility of Retromer positive carrier vesicles, which mediate the biosynthetic delivery of Mega to the SJ. Accordingly, loss of Retromer function impairs the anterograde transport of several SJ core components, revealing a novel physiological role for this ancient endosomal agent.

scholarly journals The Core Components and Types of CRM

2019 ◽  
Vol 7 (1) ◽  
pp. 121-145
Author(s):  
Hussein A. Al-Homery ◽  
Hasbullah Asharai ◽  
Azizah Ahmad
Keyword(s):  
Business Processes ◽  
The Other ◽  
Customer Relationship ◽  
Core Component ◽  
Software Market ◽  
Customer Information ◽  
Crm System ◽  
Core Components ◽  
Fourth Component

This paper highlights the influence of knowledge on the customer relationship as the fourth core component of the CRM components which are technology, people and business processes. The fourth component emerges as a result of the advancement in technology, telecommunications, and the excess in customer information in the era of information. Moreover, this paper highlights the new fifth type of CRM namely “Showroom CRM”. Besides, the other CRM types are strategic CRM, Operational CRM, Analytical CRM and Collaborative CRM. The fifth type is a comprehensive business framework which includes the structure of the other types of CRM. Moreover, the researcher surveyed the web and listed a 250 CRM system packages and programs available in the software market. The summary and classification of the 250 CRM system is given in table (1) of appendix A of the study.

scholarly journals Multi-Agent Collaborative Path Planning Based on Staying Alive Policy

Robotics ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 101
Author(s):  
Anton Koval ◽  
Sina Sharif Mansouri ◽  
George Nikolakopoulos
Keyword(s):  
Indoor Environments ◽  
Collaborative Approach ◽  
Core Component ◽  
Battery Charge ◽  
Core Components ◽  
Multi Agent ◽  
Human Operators ◽  
Collaborative Exploration ◽  
Path Planner ◽  
Agent Coordination

Modern mobile robots tend to be used in numerous exploration and search and rescue applications. Essentially they are coordinated by human operators and collaborate with inspection or rescue teams. Over the time, robots became more advanced and capable for various autonomous collaborative scenarios. Recent advances in the field of collaborative exploration and coverage provide different approaches to solve this objective. Thus scope of this article is to present a novel collaborative approach for multi-agent coordination in exploration and coverage of unknown complex indoor environments. Fundamentally, the task of collaborative exploration can be divided into two core components. The principal one is a sensor based exploration scheme that aims to guarantee complete area exploration and coverage. The second core component proposed is a staying alive policy that takes under consideration the battery charge level limitation of the agents. From this perspective the path planner assigns feasible tasks to each of the agents, including the capability of providing reachable, collision free paths. The overall efficacy of the proposed approach was extensively evaluated by multiple simulation results in a complex unknown environments.

scholarly journals System Pharmacology-Based Strategy to Investigate Core Component Group and Molecular Mechanisms of Xuefu Zhuyu Decoction in the Treatment of Gbm

2021 ◽  
Author(s):  
Zhiying Lin ◽  
Kexin Wang ◽  
Runwei Yang ◽  
Zhiyong Li ◽  
Guozhong Yi ◽  
...  
Keyword(s):  
Signaling Pathway ◽  
Molecular Mechanisms ◽  
Next Generation Sequencing Data ◽  
Network Pharmacology ◽  
Chemical Components ◽  
Pharmacokinetic Parameters ◽  
Core Component ◽  
Component Group ◽  
Pathogenic Genes ◽  
Core Components

Abstract BackgroundXuefu Zhuyu Decoction (XFZYD) is a well-known Traditional Chinese Medicine (TCM) formula that has many pharmacological effects, including enhancing immune function, improving hemorheology and regulating blood vessels bidirectionally. Modern pharmacological and clinical studies showed that XFZYD could ameliorate curative effect of glioblastoma (GBM). The aim of this study was to interpret core components and the hidden molecular mechanisms of XFZYD on GBM. MethodsHere, a novel network pharmacology strategy, which combined pharmacological data, next generation sequencing data, pharmacokinetic parameters and a novel node importance calculation method was designed to decipher the potential therapeutic mechanism of XFZYD on GBM. The partial components in core component group (CCG) were evaluated by in vitro expriments. We identified 117 chemical components analysis through ADME screening, then component-target network and GBM related genes were integrated as the component-target-pathogenic gene (C-T-P) network. ResultsThe results show that the enriched pathways of targets in the key functional network could cover 77.92% of the enriched pathways of pathogenic genes. A novel cumulative contribution rate (CCR) calculation model was designed and captured CCG with 21 components. The statistics results indicate that 15 enriched pathways of the targets of CCG were overlap with pathogenic genes enriched pathways. Finally, some core components in CCG were validated by in vitro experiments. ConclusionThe results show that our proposed stategy for decoding CCG and infering the underlying mechanism with good reliability and accuracy. The validation results indicate that the CCG play a therapeutic role on GBM by targeting to PI3K-Akt signaling pathway and Toll-like receptor signaling pathway. Our strategy provides methodological reference for the optimization and secondary development of TCM formula.

scholarly journals A cullin-RING ubiquitin ligase promotes thermotolerance as part of the intracellular pathogen response inCaenorhabditis elegans

2020 ◽  
Vol 117 (14) ◽  
pp. 7950-7960 ◽  
Author(s):  
Johan Panek ◽  
Spencer S. Gang ◽  
Kirthi C. Reddy ◽  
Robert J. Luallen ◽  
Amitkumar Fulzele ◽  
...  
Keyword(s):  
Ubiquitin Ligase ◽  
Intracellular Pathogen ◽  
Intracellular Pathogens ◽  
Core Component ◽  
C Elegans ◽  
Proteotoxic Stress ◽  
Expression Of Genes ◽  
Core Components ◽  
Pathogen Response ◽  
Related Proteins

Intracellular pathogen infection leads to proteotoxic stress in host organisms. Previously we described a physiological program in the nematodeCaenorhabditis eleganscalled the intracellular pathogen response (IPR), which promotes resistance to proteotoxic stress and appears to be distinct from canonical proteostasis pathways. The IPR is controlled by PALS-22 and PALS-25, proteins of unknown biochemical function, which regulate expression of genes induced by natural intracellular pathogens. We previously showed that PALS-22 and PALS-25 regulate the mRNA expression of the predicted ubiquitin ligase component cullincul-6, which promotes thermotolerance inpals-22mutants. However, it was unclear whether CUL-6 acted alone, or together with other cullin-ring ubiquitin ligase components, which comprise a greatly expanded gene family inC. elegans. Here we use coimmunoprecipitation studies paired with genetic analysis to define the cullin-RING ligase components that act together with CUL-6 to promote thermotolerance. First, we identify a previously uncharacterized RING domain protein in the TRIM family we named RCS-1, which acts as a core component with CUL-6 to promote thermotolerance. Next, we show that the Skp-related proteins SKR-3, SKR-4, and SKR-5 act redundantly to promote thermotolerance with CUL-6. Finally, we screened F-box proteins that coimmunoprecipitate with CUL-6 and find that FBXA-158 and FBXA-75 promote thermotolerance. In summary, we have defined the three core components and two F-box adaptors of a cullin-RING ligase complex that promotes thermotolerance as part of the IPR inC. elegans, which adds to our understanding of how organisms cope with proteotoxic stress.

scholarly journals Biochemical analysis of TssK, a core component of the bacterial Type VI secretion system, reveals distinct oligomeric states of TssK and identifies a TssK–TssFG subcomplex

2014 ◽  
Vol 461 (2) ◽  
pp. 291-304 ◽  
Author(s):  
Grant English ◽  
Olwyn Byron ◽  
Francesca R. Cianfanelli ◽  
Alan R. Prescott ◽  
Sarah J. Coulthurst
Keyword(s):  
Biochemical Analysis ◽  
Secretion System ◽  
Type Vi Secretion System ◽  
Core Component ◽  
Essential Component ◽  
Type Vi Secretion ◽  
Core Components ◽  
Bacterial Type

Genetic and biochemical analysis of TssK, an essential component of the bacterial Type VI secretion system, revealed that it forms a new subcomplex with two other core components, TssF and TssG, and displays several oligomerization states in vitro.

Sign in / Sign up

Export Citation Format

Share Document