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Book part
Publication date: 23 June 2016

Kairat Mynbaev, Carlos Martins-Filho and Aziza Aipenova

Estimators for derivatives associated with a density function can be useful in identifying its modes and inflection points. In addition, these estimators play an important…

Abstract

Estimators for derivatives associated with a density function can be useful in identifying its modes and inflection points. In addition, these estimators play an important role in plug-in methods associated with bandwidth selection in nonparametric kernel density estimation. In this paper, we extend the nonparametric class of density estimators proposed by Mynbaev and Martins-Filho (2010) to the estimation of m-order density derivatives. Contrary to some existing derivative estimators, the estimators in our proposed class have a full asymptotic characterization, including uniform consistency and asymptotic normality. An expression for the bandwidth that minimizes an asymptotic approximation for the estimators’ integrated squared error is provided. A Monte Carlo study sheds light on the finite sample performance of our estimators and contrasts it with that of density derivative estimators based on the classical Rosenblatt–Parzen approach.

Details

Essays in Honor of Aman Ullah
Type: Book
ISBN: 978-1-78560-786-8

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Article
Publication date: 21 August 2018

Deepa N., P.K. Bhattacharya, Shantanu Ganguly and Anandajit Goswami

The purpose of the paper is to evaluate print and electronic resources of TERI’s Library and Information Centre (LIC) with an aim to maximize the net marginal benefits and…

Abstract

Purpose

The purpose of the paper is to evaluate print and electronic resources of TERI’s Library and Information Centre (LIC) with an aim to maximize the net marginal benefits and minimize net marginal costs, without compromising the quality of the library resources.

Design/methodology/approach

The parameters considered for analyzing the value of the library resources for this exercise were resource access costs, strategic value of the resource based on subject area coverage, frequency of use, citations, direct and indirect benefits to users. The data regarding these parameters were provided from wide range of sources (both tangible and intangible), to come out with the qualitative and quantitative assessment through an optimization and simulation based model.

Findings

Out of the total holdings in TERI LIC that were analyzed, 85 percent of book collections and 63.5 percent of journals were found to be useful for the researchers. The least-used books and journals were identified for weeding to optimize the value of library for users and make space for new and topical library collections.

Research limitations/implications

A sample of data sources out of the total library collections was defined for the evaluation.

Practical implications

The paper demonstrates the value of library resources that is of critical importance to libraries for an effective and efficient delivery of services for generating future knowledge. Evaluating the value of libraries resources has implications both for librarians as well as library users.

Originality/value

The evaluation exercise established the efficacy of the TERI library holdings for research and academic purposes in the domain of sustainable development. The library collection was found to be cost effective and beneficial to meet the future demand from the user community.

Details

Library Management, vol. 40 no. 3/4
Type: Research Article
ISSN: 0143-5124

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Book part
Publication date: 19 December 2012

Liangjun Su and Halbert L. White

We provide straightforward new nonparametric methods for testing conditional independence using local polynomial quantile regression, allowing weakly dependent data…

Abstract

We provide straightforward new nonparametric methods for testing conditional independence using local polynomial quantile regression, allowing weakly dependent data. Inspired by Hausman's (1978) specification testing ideas, our methods essentially compare two collections of estimators that converge to the same limits under correct specification (conditional independence) and that diverge under the alternative. To establish the properties of our estimators, we generalize the existing nonparametric quantile literature not only by allowing for dependent heterogeneous data but also by establishing a weak consistency rate for the local Bahadur representation that is uniform in both the conditioning variables and the quantile index. We also show that, despite our nonparametric approach, our tests can detect local alternatives to conditional independence that decay to zero at the parametric rate. Our approach gives the first nonparametric tests for time-series conditional independence that can detect local alternatives at the parametric rate. Monte Carlo simulations suggest that our tests perform well in finite samples. We apply our test to test for a key identifying assumption in the literature on nonparametric, nonseparable models by studying the returns to schooling.

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Article
Publication date: 1 January 1988

A.M. McCosh and M. Walsh

The management accounting aspects of quality are focused on. The traditional approaches of production and marketing are summarised with questions, such as how these can be…

Abstract

The management accounting aspects of quality are focused on. The traditional approaches of production and marketing are summarised with questions, such as how these can be combined, what relationship is there between price and quality, how can the various departments concerned in the strategic management of quality be drawn together, how one can decide on a quality strategy and what would be a suitable control system, being asked. A solution to these is proffered by looking at the management of quality from a strategic viewpoint, relating the appropriateness of seven pure quality strategies to the product/market life cycle.

Details

Marketing Intelligence & Planning, vol. 6 no. 1
Type: Research Article
ISSN: 0263-4503

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Article
Publication date: 16 September 2020

Ilias Vlachos

This study aims to investigate how contract design influences supplier performance. This study synthesises three theoretical views (efficiency, relational, contingency…

Abstract

Purpose

This study aims to investigate how contract design influences supplier performance. This study synthesises three theoretical views (efficiency, relational, contingency) and provides empirical support on how effective contract design improves supplier performance.

Design/methodology/approach

This study reviewed contract design literature and uncovered 18 factors that may impact supplier performance. Multi-criteria, decision-making analysis examined the impact of contract factors on three supplier groups: average-, over- and under-performers. Procurement experts working with a large multinational company dealing with hundreds of procuring contracts, yearly, provided their judgement on the impact of these factors on supplier performance. Semi-structured interviews with experts and other evidence were used for data and method triangulation.

Findings

Results show that contracting with under- and over- performers presents significant differences: in the case of over-performers, contracts have a dual, yet discrete, efficiency and relational role: at transaction level, they emphasise formality, protect from opportunism and include both liquidated damages and legal action clauses. At relational level, they focus on relational learning and incentivising suppliers. However, in the case of under-performers, contracts appear to focus on contingency factors, which can be a source of ambiguity, particularly in complex environments, and trust, which has a negative impact on supplier performance.

Social implications

Improving contract design can help reduce partner opportunism, reduce inter-firm conflicts and avoid disputes that can bear a social cost. This study demonstrates that companies can use advanced analytical tools to reflect upon their own decision-making process of contact design in making transparent supplier performance assessments.

Originality/value

To the author’s knowledge, this is the first study using decision-making techniques to enhance supplier performance by improving the contract design process.

Details

International Journal of Productivity and Performance Management, vol. 70 no. 7
Type: Research Article
ISSN: 1741-0401

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Article
Publication date: 15 January 2021

Sudipta Ghosh, Madhab Chandra Mandal and Amitava Ray

The prime objective of this paper is to design a green supply chain management (GSCM) framework to evaluate the performance of environmental-conscious suppliers using…

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126

Abstract

Purpose

The prime objective of this paper is to design a green supply chain management (GSCM) framework to evaluate the performance of environmental-conscious suppliers using multi-criteria decision-making (MCDM) approach.

Design/methodology/approach

The literature survey reveals critical factors for implementing GSCM, adopted methodologies and the result obtained by several researchers. Data have been collected by conducting surveys and interviews with strategic-level personnel of five esteemed organizations in automobile manufacturing sectors. A GSCM framework is developed in which a mathematical tool entropy–the technique for order of preference by similarity to ideal solution (TOPSIS) has been used to analyze the six parameters of automobile manufacturing unit. Initially, entropy is used to find the weights of each of the parameters that influence the decision matrix of the TOPSIS method. Secondly, the proposed GSCM framework ranks the supplier. Finally, sensitivity analysis of the model satisfies the GSCM framework and benchmarked the supplier.

Findings

The result shows that “Total CO2 emission” has an influential role for GSCM sustainability, and hence, firms should put more effort to reduce emissions to improve overall performance. Again, the parameters like investment in R&D and total waste generation may be ignored in the selection process. The result reveals the benchmarked supplier and its strategies for effective sourcing, which would have an indirect effect on organizations' overall sustainability.

Research limitations/implications

This research entirely focuses on sustainability within supply chain considering economic, social and environmental paradigms. The mathematical modeling of the proposed work considers many influential parameters and provides an easy and comprehensive decision-making technique.

Practical implications

The methods may be adopted by the industries for sustainable supply chain management. This study benchmarks the supplier organizations and explores the adopted policies by benchmarked organizations. Other organizations should follow the policies followed by benchmarked organization for enhancing environmental, social and economic performance. Organizations striving for sustainable development can adopt this framework for evaluation of supplier performance and benchmark with better accuracy.

Originality/value

The design of the GSCM framework explores both the qualitative and quantitative data based on environmental, social and economic parameters simultaneously in the evaluation of environmentally conscious suppliers. The research also investigates the constraints of the system to implement the GSCM in automobile manufacturing unit. Additionally, the sensitivity analysis justifies the benchmarked supplier and the adopted strategies to be followed by other manufacturing unit.

Details

Benchmarking: An International Journal, vol. 28 no. 6
Type: Research Article
ISSN: 1463-5771

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Article
Publication date: 10 August 2020

Somnath Santra, Shubhadeep Mandal and Suman Chakraborty

The purpose of this study is to perform a detailed review on the numerical modeling of multiphase and multicomponent flows in microfluidic system using phase-field method…

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518

Abstract

Purpose

The purpose of this study is to perform a detailed review on the numerical modeling of multiphase and multicomponent flows in microfluidic system using phase-field method. The phase-field method is of emerging importance in numerical computation of transport phenomena involving multiple phases and/or components. This method is not only used to model interfacial phenomena typical to multiphase flows encountered in engineering and nature but also turns out to be a promising tool in modeling the dynamics of complex fluid-fluid interfaces encountered in physiological systems such as dynamics of vesicles and red blood cells). Intrinsically, a priori unknown topological evolution of interfaces offers to be the most concerning challenge toward accurate modeling of moving boundary problems. However, the numerical difficulties can be tackled simultaneously with numerical convenience and thermodynamic rigor in the paradigm of the phase field method.

Design/methodology/approach

The phase-field method replaces the macroscopically sharp interfaces separating the fluids by a diffuse transition layer where the interfacial forces are smoothly distributed. As against the moving mesh methods (Lagrangian) for the explicit tracking of interfaces, the phase-field method implicitly captures the same through the evolution of a phase-field function (Eulerian). In contrast to the deployment of an artificially smoothing function for the interface as used in the volume of a fluid or level set method, however, the phase-field method uses mixing free energy for describing the interface. This needs the consideration of an additional equation for an order parameter. The dynamic evolution of the system (equation for order parameter) can be described by AllenCahn or CahnHilliard formulation, which couples with the Navier–Stokes equation with the aid of a forcing function that depends on the chemical potential and the gradient of the order parameter.

Findings

In this review, first, the authors discuss the broad motivation and the fundamental theoretical foundation associated with phase-field modeling from the perspective of computational microfluidics. They subsequently pinpoint the outstanding numerical challenges, including estimations of the model-free parameters. They outline some numerical examples, including electrohydrodynamic flows, to demonstrate the efficacy of the method. Finally, they pinpoint various emerging issues and futuristic perspectives connecting the phase-field method and computational microfluidics.

Originality/value

This paper gives unique perspectives to future directions of research on this topic.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 31 no. 10
Type: Research Article
ISSN: 0961-5539

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Article
Publication date: 20 November 2017

Eappen Thiruvattal

This paper aims to examine the influence of value co-creation by external and internal stakeholders of logistics service organizations on both customer loyalty as well as…

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1584

Abstract

Purpose

This paper aims to examine the influence of value co-creation by external and internal stakeholders of logistics service organizations on both customer loyalty as well as superior service solutions. The mediating role of superior service solutions between the value co-creation strategies of organizations and customer loyalty is also investigated in a marketing channel environment.

Design/methodology/approach

Survey data of small and medium enterprises’ executives (n = 330) are analysed using exploratory factor analysis and structural equation modelling to investigate the impact of six hypothesized relationships through value co-creation.

Findings

This study indicates that coordinated efforts to create value by external and internal stakeholders to achieve superior service solutions have a strong impact on creating loyalty among customers.

Research limitations/implications

The effectiveness of this research has been validated in a number of ways including interviewing four of the stakeholders of a case organization that implemented the model. This study offers understanding of the roles of value co-creation, to a key to organizational success in marketing channels.

Originality/value

This paper elucidates the impact of value co-creation on the business performance of logistics service organizations. With empirical evidence, the paper contributes to fill the knowledge gaps on how the process of value co-creation by different stakeholders influences customer loyalty in a service context. The mediating role of superior service solution between value co-creation by different stakeholders and business customer loyalty is also examined, adding to its significance.

Details

Journal of Global Operations and Strategic Sourcing, vol. 10 no. 3
Type: Research Article
ISSN: 2398-5364

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Book part
Publication date: 12 December 2003

Tae-Hwan Kim and Halbert White

To date, the literature on quantile regression and least absolute deviation regression has assumed either explicitly or implicitly that the conditional quantile regression…

Abstract

To date, the literature on quantile regression and least absolute deviation regression has assumed either explicitly or implicitly that the conditional quantile regression model is correctly specified. When the model is misspecified, confidence intervals and hypothesis tests based on the conventional covariance matrix are invalid. Although misspecification is a generic phenomenon and correct specification is rare in reality, there has to date been no theory proposed for inference when a conditional quantile model may be misspecified. In this paper, we allow for possible misspecification of a linear conditional quantile regression model. We obtain consistency of the quantile estimator for certain “pseudo-true” parameter values and asymptotic normality of the quantile estimator when the model is misspecified. In this case, the asymptotic covariance matrix has a novel form, not seen in earlier work, and we provide a consistent estimator of the asymptotic covariance matrix. We also propose a quick and simple test for conditional quantile misspecification based on the quantile residuals.

Details

Maximum Likelihood Estimation of Misspecified Models: Twenty Years Later
Type: Book
ISBN: 978-1-84950-253-5

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Article
Publication date: 30 August 2019

Mohsenah Al Yami and Mian M. Ajmal

Knowledge management (KM) is increasingly becoming critical to public sector organizations as it is to private sector organizations. This is because public sector…

Abstract

Purpose

Knowledge management (KM) is increasingly becoming critical to public sector organizations as it is to private sector organizations. This is because public sector organizations are increasingly held accountable for their actions and are forced to move away from traditional bureaucratic approaches to more managerial ones. For instance, public sector is facing pressure to improve its operational efficiency such as productivity, lead time and expenditure. Similarly, it is also facing pressure to improve its transparency, trust, reliability and accountability, which are key elements of sustainable development (SD). The purpose of this study therefore is to understand the intricate relationship between KM processes, operational efficiency and SD in the public sector.

Design/methodology/approach

A framework consisting of eight constructs (knowledge acquisition, knowledge creation, knowledge capture, knowledge storage and retrieval, knowledge sharing, knowledge utilization, operational efficiency and SD) and their underlying items was developed through an extensive literature review. Using 383 usable responses collected through a structured questionnaire from the UAE public sector, the constructs and framework were first validated and then the current level of implementation/achievement of KM processes, operational efficiency and SD was assessed along with the hypothesized relationships between the constructs.

Findings

The findings show that KM processes had a positive and significant direct impact on operational efficiency and SD. Also, operational efficiency was found to strongly mediate the relationship between KM processes and SD.

Practical implications

The findings are expected to help UAE public sector organizations devise strategies and policy interventions to align and improve their KM processes for achieving operational efficiency and SD. Public sectors looking to focus on SD must focus on KM processes and strive to improve stakeholder engagement, which is a vital aspect of SD.

Originality/value

Integration of KM processes, operational efficiency and SD has not been attempted previously and hence constitutes the novelty of this work.

Details

VINE Journal of Information and Knowledge Management Systems, vol. 49 no. 4
Type: Research Article
ISSN: 2059-5891

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