scholarly journals Efficiency of Harmonic Quantum Otto Engines at Maximal Power

Entropy ◽  
2018 ◽  
Vol 20 (11) ◽  
pp. 875 ◽  
Author(s):  
Sebastian Deffner
Keyword(s):  
Conceptual Framework ◽  
Performance Measures ◽  
Harmonic Oscillators ◽  
Maximal Power ◽  
Heat Engines ◽  
Original Treatment

Recent experimental breakthroughs produced the first nano heat engines that have the potential to harness quantum resources. An instrumental question is how their performance measures up against the efficiency of classical engines. For single ion engines undergoing quantum Otto cycles it has been found that the efficiency at maximal power is given by the Curzon–Ahlborn efficiency. This is rather remarkable as the Curzon–Alhbron efficiency was originally derived for endoreversible Carnot cycles. Here, we analyze two examples of endoreversible Otto engines within the same conceptual framework as Curzon and Ahlborn’s original treatment. We find that for endoreversible Otto cycles in classical harmonic oscillators the efficiency at maximal power is, indeed, given by the Curzon–Ahlborn efficiency. However, we also find that the efficiency of Otto engines made of quantum harmonic oscillators is significantly larger.

Definition of input and output variables to assess operations strategy efficiency frontier

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gabriela Lobo Veiga ◽  
Edson Pinheiro de Lima ◽  
José Roberto Frega ◽  
Sergio E. Gouvea da Costa
Keyword(s):  
Conceptual Framework ◽  
Performance Measures ◽  
High Performance ◽  
Principal Component ◽  
Operations Strategy ◽  
Content Type ◽  
Frontier Analysis ◽  
Analysis Techniques ◽  
Input And Output ◽  
Input Variables

PurposeTo investigate the relationship between performance frontier and operations strategy. A two-level conceptual framework is proposed based on performance elements that act as output/input variables and delimit the scope of the frontier analysis.Design/methodology/approachThe framework proposition is based on the fourth round of high-performance manufacturing survey data. A representative set of variables for assessing performance based on operations strategy constructs is defined through multivariate data analysis techniques. The main method used is the principal component analysis.FindingsThe proposed first-level conceptual framework formalizes the relationships between performance frontier analysis techniques and operations strategy, delimiting the scope and the structural definitions. The second-level conceptual framework defines the constructs of the input and output dimensions for frontier analysis studies.Originality/valueThe paper contribution is developed in the gap of market-led orientation to study operations strategy performance frontier since most related literature focuses on capabilities development with a main focus on the resource-based view (RBV) approach. A conceptual framework based on the competitive priorities is therefore proposed to represent the operations strategy in the view of the frontier techniques. The value lies in defining performance measures which are not a straightforward task as the growth of organization competitiveness and complexity require multiple performance measures. A deeper understanding of frontier estimation on the operations strategy context is also provided, contributing to positively influence firms to succeed in the current dynamic competitive environments.

Digital servitization value co-creation framework for AI services: a research agenda for digital transformation in financial service ecosystems

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Elizabeth H. Manser Payne ◽  
Andrew J. Dahl ◽  
James Peltier
Keyword(s):  
Firm Performance ◽  
Conceptual Framework ◽  
Performance Measures ◽  
Research Agenda ◽  
Disruptive Innovation ◽  
Financial Service ◽  
Consumer Engagement ◽  
Content Type ◽  
Service Ecosystems ◽  
Service Ecosystem

Purpose Innovative firms have rapidly developed artificial intelligence (AI) capabilities into their service ecosystems, essentially changing perceptions of what is service quality and service delivery in their respective industries. Nonetheless, the issues surrounding AI services remain relatively unknown. The purpose for this paper is to offer a digital servitization framework for understanding how AI services impact value perceptions, consumer engagement and firm performance measures. The authors use the financial service ecosystem to explore this topic. Design/methodology/approach The authors explore relevant literature on digital servitization, service-dominant logic and AI/disruptive innovation. Next, a conceptual framework, organized by AI-Service Exchange Antecedents, Context of AI Usage and Digital Servitization Consequences, is developed. The authors conceptualize consequences for consumers and firms. Findings The main findings suggest that the linkages between consumers, financial institutions and fintech companies with AI usage in a service ecosystem should be identified; how value is created among multiple SD Logic-AI network actors should be analyzed; and the effects of AI-consumer interactions (lower-level and higher levels of engagement) on firm performance measures should be explored. Research limitations/implications The conceptual framework identifies gaps in the literature and suggests research questions for future studies. Practical implications This paper may assist practitioners with the development of AI-enabled banking activities that involve direct consumer engagement. Originality/value To the authors’ best knowledge, this research agenda is the first comprehensive framework for understanding value co-creation in the context of AI in financial services, linking antecedents, usage and consequences.

Irreversibility and Limiting Possibilities of Macrocontrolled Systems I: Thermodynamics

2001 ◽  
Vol 08 (04) ◽  
pp. 315-328 ◽  
Author(s):  
A. M. Tsirlin ◽  
V. Kazakov ◽  
N. A. Kolinko
Keyword(s):  
Equilibrium State ◽  
Second Law Of Thermodynamics ◽  
Perfect Competition ◽  
Second Law ◽  
Extremal Principle ◽  
Maximal Power ◽  
Resource Exchange ◽  
Arbitrary Structure ◽  
Heat Engines ◽  
Maximal Profit

In this paper, two types of systems — thermodynamic and economic — are considered, which include a large number of micro subsystems and are controlled on the macro level (macrocontrolled systems). The analogy between the maximal work problem in thermodynamics and the maximal profit problem in a microeconomic system is investigated. The notion of exergy is generalized for the systems which do not contain reservoirs, and the conditions of maximal power of heat engines are generalized for systems with arbitrary structure. The notion of system profitability and the measure of irreversibility of an microeconomic processes are introduced. The extremal principle which determines an equilibrium state of open microeconomic system, is formulated. The conditions of optimality of resource trading and the expression for profitability of resource exchange are formulated for systems which include market with perfect competition, and for systems which do not include it. Economic analogues of the second law of thermodynamics are formulated using introduced concepts. The first part of the paper is devoted to thermodynamic systems and the second to microeconomic systems.

Relationship of Problem-Solving Behaviors and Jungian Personality Types

1982 ◽  
Vol 51 (2) ◽  
pp. 379-384 ◽  
Author(s):  
Fumiyo Hunter ◽  
Nissim Levy
Keyword(s):  
Individual Differences ◽  
Problem Solving ◽  
Conceptual Framework ◽  
Performance Measures ◽  
Personality Types ◽  
Embedded Figures ◽  
Performance Patterns ◽  
Relationship Of ◽  
Jungian Typology

This study investigated individual differences in solving Dunker's Box Problem and Witkin's embedded figures problems in relation to Jungian personality types. Differential predictions for problem-solving performance were made for four personality types based on the conceptual framework of Jungian typology and the type of problems used. As predicted, the typological grouping differentiated the performance patterns in various problem tasks. No significant effect was found for sex or the interaction of sex and personality types in any of the performance measures.

scholarly journals Guideline-based quality assurance: a conceptual framework for the definition of key elements

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Elena Parmelli ◽  
Miranda Langendam ◽  
Thomas Piggott ◽  
Jan Adolfsson ◽  
Elie A. Akl ◽  
...  
Keyword(s):  
Quality Assurance ◽  
Conceptual Framework ◽  
Quality Indicators ◽  
Performance Measures ◽  
Performance Indicators ◽  
Guideline Development ◽  
Research Centre ◽  
And Performance ◽  
The Way

Abstract Background In 2017, the European Commission’s Joint Research Centre (JRC) started developing a methodological framework for a guideline-based quality assurance (QA) scheme to improve cancer quality of care. During the first phase of the work, inconsistency emerged about the use of terminology for the definition, the conceptual underpinnings and the way QA relates to health questions that are answered in guidelines. The objective of this final of three articles is to propose a conceptual framework for an integrated approach to guideline and QA development and clarify terms and definitions for key elements. This work will inform the upcoming European Commission Initiative on Colorectal Cancer (ECICC). Methods A multidisciplinary group of 23 experts from key organizations in the fields of guideline development, performance measurement and quality assurance participated in a mixed method approach including face-to-face dialogue and several rounds of virtual meetings. Informed by results of a systematic literature review that indicated absence of an existing framework and practical examples, we first identified the relations of key elements in guideline-based QA and then developed appropriate concepts and terminology to provide guidance. Results Our framework connects the three key concepts of quality indicators, performance measures and performance indicators integrated with guideline development. Quality indicators are constructs used as a guide to monitor, evaluate, and improve the quality of the structure, process and outcomes of healthcare services; performance measures are tools that quantify or describe measurable elements of practice performance; and performance indicators are quantifiable and measurable units or scores of practice, which should be guided by guideline recommendations. Conclusions The inconsistency in the way key terms of QA are used and defined has confused the field. Our conceptual framework defines the role, meaning and interactions of the key elements for improving quality in healthcare. It directly builds on the questions asked in guidelines and answered through recommendations. These findings will be applied in the forthcoming ECICC and for the future updates of ECIBC. These are large-scale integrated projects aimed at improving healthcare quality across Europe through the development of guideline-based QA schemes; this will help in implementing and improving our approach.

Organizational Dissent Dynamics

2016 ◽  
Vol 31 (2) ◽  
pp. 258-277 ◽  
Author(s):  
Raafat Mahmoud Zaini ◽  
Michael B. Elmes ◽  
Oleg V. Pavlov ◽  
Khalid Saeed
Keyword(s):  
Conceptual Framework ◽  
Performance Measures ◽  
Generic Model ◽  
Organizational Productivity ◽  
Management Framework ◽  
Current State ◽  
Management Policies ◽  
Composition Structure ◽  
And Performance ◽  
The Impact

This article proposes a conceptual framework for dissent dynamics in organizations. We integrate the dissent expression and management framework of Kassing with the dynamic institution composition structure of Saeed and Pavlov to construct a generic model for understanding organizational dissent. Our model hypothesizes the impact of dissent accumulation on organizational dissent climate, composition, and performance. Two performance measures comprise the performance grid to describe the current state of an organization and its dissent management policies—perceived management responsiveness and organizational productivity. We argue that dissent expression, tolerance, and management policies affect whether an organization is high or low performing. The conceptual model provides a future platform for experimentation and learning by simulating different policy scenarios and their influence on the paths of change and the new homeostasis eventually achieved by the organization.

scholarly journals Maximal power for heat engines: Role of asymmetric interaction times

2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Pedro E. Harunari ◽  
Fernando S. Filho ◽  
Carlos E. Fiore ◽  
Alexandre Rosas
Keyword(s):  
Maximal Power ◽  
Heat Engines

Novikov Engine with Fluctuating Heat Bath Temperature

2018 ◽  
Vol 43 (2) ◽  
pp. 141-150 ◽  
Author(s):  
Karsten Schwalbe ◽  
Karl Heinz Hoffmann
Keyword(s):  
Performance Measures ◽  
Power Plants ◽  
Classical Model ◽  
Heat Engine ◽  
Heat Bath ◽  
Bath Temperature ◽  
Heat Fluxes ◽  
Reasonable Assumption ◽  
Heat Engines ◽  
Stochastic Fluctuations

AbstractThe Novikov engine is a model for heat engines that takes the irreversible character of heat fluxes into account. Using this model, the maximum power output as well as the corresponding efficiency of the heat engine can be deduced, leading to the well-known Curzon–Ahlborn efficiency. The classical model assumes constant heat bath temperatures, which is not a reasonable assumption in the case of fluctuating heat sources. Therefore, in this article the influence of stochastic fluctuations of the hot heat bath’s temperature on the optimal performance measures is investigated. For this purpose, a Novikov engine with fluctuating heat bath temperature is considered. Doing so, a generalization of the Curzon–Ahlborn efficiency is found. The results can help to quantify how the distribution of fluctuating quantities affects the performance measures of power plants.

scholarly journals A Stairway to the Stars: Monitoring Sustainability Performance in SMBs

2014 ◽  
Vol 9 (1) ◽  
Author(s):  
David A. Robinson ◽  
Brad P. Nikolic
Keyword(s):  
Change Management ◽  
Conceptual Framework ◽  
Performance Measures ◽  
Balanced Scorecard ◽  
Strategic Objectives ◽  
Business Sustainability ◽  
Management By Objectives ◽  
Sustainability Index ◽  
Sustainability Performance ◽  
Management Models

This article proposes a framework that can be used, or modified for use, as a mechanism to measure, evaluate and monitor progress in business sustainability. It draws upon previous change management models, such as ‘Management by Objectives’ (Lynch, 1977; Felix and Riggs, 1983) and ‘Balanced Scorecard’ (Kaplan and Norton, 1995), proposing a conceptual framework for the monitoring of business sustainability. The framework allows sustainability improvement to be monitored by means of a composite sustainability index derived from specific metrics appropriate to a range of prioritised strategic objectives. It then discusses the necessity for such a mechanism to be sufficiently robust in respect of seven contextual issues. It recommends that a firm’s choice of sustainability performance measures and their relative priorities should be aligned with global, societal, external, industry, organisational, leadership and individual-personal contexts.

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