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Article
Publication date: 18 September 2019

Faisal Talib, Mohammad Asjad, Rajesh Attri, Arshad Noor Siddiquee and Zahid A. Khan

Recent years have witnessed a significant rise in Indian healthcare establishments (HCEs) which indicate that there is a constant need to improve the healthcare quality…

Abstract

Purpose

Recent years have witnessed a significant rise in Indian healthcare establishments (HCEs) which indicate that there is a constant need to improve the healthcare quality services through the adoption and implementation of TQM enablers. The purpose of this paper is to identify such enablers and then propose a ranking model for TQM implementation in Indian HCEs for improved performance.

Design/methodology/approach

The study identifies 20 TQM enablers through comprehensive literature survey and expert’s opinion, and classifies them into five main categories. The prominence of these enablers is established using a recently developed novel multi-criteria decision making (MCDM) method, i.e. best-worst method (BWM). The importance of the various main category and sub-category enablers is decided on the basis of their weights which are determined by the BWM. In comparison to other MCDM methods, such as analytical hierarchy process, BWM requires relatively lesser comparison data and also provides consistent comparisons which results in both optimal and reliable weights of the enablers considered in this paper. Further, a sensitivity analysis is also carried out to ensure that the ranking (based on the optimal weights) of the various enablers is reliable and robust.

Findings

The results of this study reveal that out of five main category enablers, the “leadership-based enablers (E1)” and the “continuous improvement based enablers (E5)” are the most and the least important enablers, respectively. Similarly, among the 20 sub-category enablers, “quality leadership and role of physicians (E14)” and “performing regular survey of customer satisfaction and quality audit (E52)” are the most and the least dominating sub-category enablers, respectively.

Research limitations/implications

This study does not explore the interrelationship between the various TQM enablers and also does not evaluate performance of the various HCEs based on the weights of the enablers.

Practical implications

The priority of the TQM enablers determined in this paper enables decision makers to understand their influence on successful implementation of the TQM principles and policies in HCEs leading to an overall improvement in the system’s performance.

Originality/value

This study identifies the various TQM enablers in HCEs and categorizes them into five main categories and ranks them using the BWM. The findings of this research are quite useful for management of the HCEs to properly understand the relative importance of these enablers so that managers can formulate an effective and efficient strategy for their easy and smooth implementation which is necessary for continuous improvement.

Details

The TQM Journal, vol. 31 no. 5
Type: Research Article
ISSN: 1754-2731

Keywords

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Article
Publication date: 16 February 2010

Alan Tapp and Stella Warren

This paper seeks to explore the applicability and implications of Bourdieu's field‐capital theory for marketing using original research with a typical European society…

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Abstract

Purpose

This paper seeks to explore the applicability and implications of Bourdieu's field‐capital theory for marketing using original research with a typical European society. Bourdieu's field‐capital theory proposes that people acquire economic, social and cultural capital which they deploy in social arenas known as “fields” in order to compete for positions of distinction and status. This exploratory study aims to examine how Bourdieu's theory may explain competitive behavior in fields of interest to marketers.

Design/methodology/approach

A total of 61 in‐depth interviews were completed with respondents that were representative of each of 61 geodemographic “types” – clusters that enable marketers to segment an entire population.

Findings

The findings suggest that examining human behaviour through the lens of field and capital theory highlights the importance of the competition motive in explaining consumers' behaviour. New “fields” were identified which seem to have assumed primary importance, particularly in middle‐class people's lives.

Research limitations/implications

Viewing consumer behaviour as social competition implies that new segmentation approaches may yield successful marketing outcomes, and opens consumer psychology and behaviour itself to new interpretations.

Originality/value

Very few research papers that apply field‐capital theory to marketing are present in the literature. It is hoped that this work addresses an important area, and one that is particularly prevalent in twenty‐first century consumerism.

Details

European Journal of Marketing, vol. 44 no. 1/2
Type: Research Article
ISSN: 0309-0566

Keywords

Open Access
Article
Publication date: 5 December 2019

Timo Gossler, Ioanna Falagara Sigala, Tina Wakolbinger and Renate Buber

The purpose of this paper is to determine best practices of aid agencies for outsourcing logistics to commercial logistics service providers (LSPs) in disaster relief…

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4444

Abstract

Purpose

The purpose of this paper is to determine best practices of aid agencies for outsourcing logistics to commercial logistics service providers (LSPs) in disaster relief. Moreover, it evaluates the application of the Delphi method for research in humanitarian logistics.

Design/methodology/approach

The paper is based on a two-round Delphi study with 31 experts from aid agencies and a complementary full-day focus group with 12 experts from aid agencies and LSPs.

Findings

The study revealed 12 best practices for outsourcing logistics in disaster relief and a compilation of more than 100 activities for putting these practices into action. Experts consider a proper balance between efficiency and compliance, a detailed contract and a detailed service request most important. Additionally, the Delphi method was found to be a promising technique for research on humanitarian logistics.

Research limitations/implications

By critically examining the Delphi method, this study establishes the basis for a wider application of the technique in the field of humanitarian logistics. Furthermore, it can help to prioritize future research as the ranking of practices reflects the priorities of practitioners.

Practical implications

The paper provides guidance to practitioners at aid agencies in charge of outsourcing logistics.

Originality/value

This research is one of the first in the field of humanitarian logistics to apply the Delphi method. Moreover, it addresses the lack of literature dealing with approaches for building successful cross-sectoral partnerships.

Details

Journal of Humanitarian Logistics and Supply Chain Management, vol. 9 no. 3
Type: Research Article
ISSN: 2042-6747

Keywords

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Article
Publication date: 1 January 1991

Special attention will be given in this part to the process of decline, which is to be seen as antipodal to development, and which nowadays is all too often neglected. By…

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48

Abstract

Special attention will be given in this part to the process of decline, which is to be seen as antipodal to development, and which nowadays is all too often neglected. By “decline” we mean here the decline of a whole society. But this definition is not yet sufficient to provide us with a very clear understanding. The statement that a whole society is in decline remains void of real meaning until we possess some concrete conception of what a “whole society” and the process of “decline” are. Since the meanings of both these terms are problematical, further explanation and closer precision are called for.

Details

International Journal of Social Economics, vol. 18 no. 1/2/3
Type: Research Article
ISSN: 0306-8293

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Article
Publication date: 1 January 1995

Marilyn E. Barnes

Libraries need to develop information processing systems for evaluation, budgeting, planning, and operations. Electronic spreadsheets lend themselves to a variety of…

Abstract

Libraries need to develop information processing systems for evaluation, budgeting, planning, and operations. Electronic spreadsheets lend themselves to a variety of applications, but are time‐consuming to create. A model template and macros that can be used in many different types of library data analysis have been developed here. The procedures demonstrated here can build an essential set of tools for meeting fundamental goals of administrative efficiency, effective use of library resources, staff motivation, and rational policy making.

Details

The Bottom Line, vol. 8 no. 1
Type: Research Article
ISSN: 0888-045X

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Article
Publication date: 12 January 2022

Huthaifa Alqaralleh

This paper aims to contribute to the clarification of whether the dependence and causality between oil and the macrofundamentals change across different quantiles of the…

Abstract

Purpose

This paper aims to contribute to the clarification of whether the dependence and causality between oil and the macrofundamentals change across different quantiles of the distribution function.

Design/methodology/approach

Within the context of an asymmetric quantile approach, we drop the assumption that variables operate at the upper tails of the distribution in the way that they operate at the mean.

Findings

Our innovative approach indicates that the response of oil prices not only differs according to the underlying source of the variables shock but also differs across the quantiles.

Originality/value

Although a number of recent studies are closely related to our present research, our novel findings offer some important insights that foreshadow the empirical results. The current research addresses to answer the following questions, in sequence: (i) Is there any extreme value dependence between the crude oil and macroeconomic variables? If yes, (ii) is the dependence symmetric or asymmetric? Finally, (iii) can this dependence be driven by the phases of the economic cycle?

Details

International Journal of Energy Sector Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1750-6220

Keywords

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Article
Publication date: 14 January 2022

Shailesh Rastogi and Jagjeevan Kanoujiya

The main aim of the study is to explore the volatility spillover effect of cryptocurrencies (Bitcoin, Ethereum and Litecoin) on inflation volatility in India.

Abstract

Purpose

The main aim of the study is to explore the volatility spillover effect of cryptocurrencies (Bitcoin, Ethereum and Litecoin) on inflation volatility in India.

Design/methodology/approach

A popular tool, the Bivariate GARCH model (BEKK-GARCH), to study the volatility spillover effect, is applied in the study. Monthly data of cryptocurrencies and inflation (WPI and CPI indices) are gathered from 2015 to 2021.

Findings

Significant short-term responsiveness of volatility of cryptocurrencies on the inflation volatility is found. In addition to this, the significant volatility spillover effect from the cryptocurrencies to the inflation volatility is found.

Practical implications

The findings of the current paper can be of use for inflation management, target inflation policies and policies to contain the volatility of cryptocurrencies. The significance of the current paper is relevant as governments worldwide are officially recognizing cryptocurrencies and starting the process of launching their official virtual currency.

Originality/value

No other study is observed on the topic. Hence, the contribution and novelty of the findings of the current paper are very high and add value to the nonexistent literature on the topic. Lack of the number of inflation observations (data of CPI and WPI are available only in monthly frequency) crimps the model estimation. As the cryptocurrencies become old, more data points will be available by design, and such problems can be resolved, and better model estimation may be possible.

Details

Journal of Economic and Administrative Sciences, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1026-4116

Keywords

Open Access
Article
Publication date: 13 December 2021

Saakshi Jha

The authors analyze households' inflation expectations data for India, collected quarterly by the RBI for more than a decade. The contribution of this paper lies in two…

Abstract

Purpose

The authors analyze households' inflation expectations data for India, collected quarterly by the RBI for more than a decade. The contribution of this paper lies in two folds. First, this study examines the relationship between relatively recent inflation expectations survey of households (IESH) and the actual inflation for India. Secondly, the authors employ a structural VAR with the time period 2006 Q2 to 2020 Q2 on inflation expectation survey data of India. A short-term non-recursive restriction is imposed in the model in order to capture the simultaneous co-dependence causal effect of inflation expectation and realized inflation.

Design/methodology/approach

This paper studies the dynamic behavior of inflation expectations survey data in two folds. First, the authors analyze the time series property of the survey data. The authors begin with testing the stationarity property of the series, followed by the casual relationship between the expected and actual inflation. The authors further examine the short-run and long-run behavior of the IESH with actual inflation. Employing autoregressive distributed lag and Johansen co-integration, the authors tested if a long-run relationship exists between the variables. In the second approach, the authors investigate the determinants of inflation expectations by employing a non-recursive SVAR model.

Findings

The preliminary explanatory test reveals that inflation expectation is a policy variable and should be used in monetary policy as an instrument variable. The model identifies the price puzzle for India. The authors find that the response of inflation to a monetary policy shock is neutral. The results also indicate that the expectations of the general public are self-fulfilling.

Originality/value

IESH has only commenced from September 2005, hence is relatively new as compared to other survey in developed countries. Being a new data set so far, the authors could not locate any study devoted in analyzing the behavior of the data with other macroeconomic variables.

Details

IIM Ranchi journal of management studies, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2754-0138

Keywords

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Article
Publication date: 4 November 2021

Ijaz Hussain Shah and Kinza Aish

Many studies of corruption and money laundering (ML) have been conducted throughout the previous few decades. The impact of corruption and ML on economic growth, banking…

Abstract

Purpose

Many studies of corruption and money laundering (ML) have been conducted throughout the previous few decades. The impact of corruption and ML on economic growth, banking performance and corporate financial performance has been the focus of various research. The present study aims to investigate the relationship between ML, corruption and inflation.

Design/methodology/approach

This study used the panel data of five South Asian countries from 2013 to 2019 (Pakistan, India, Bangladesh, Sri Lanka and Nepal). Further, fixed effect (FE) and random effect (RE) econometric regression models are used to analyze the data. Additionally, generalized methods of moment (GMM) technique is used to check the results robustness.

Findings

This study discovered that corruption and ML have a significant and positive link with inflation in five South Asian nations using the corruption perception index and the anti-money laundering (AML) index.

Practical implications

This research advises that government authorities strengthen anti-corruption and AML laws enforcement.

Originality/value

To the best of the authors’ knowledge, this is the first paper that explains the linkage between corruption, ML and inflation in five south Asian nations.

Details

Journal of Money Laundering Control, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1368-5201

Keywords

Open Access
Article
Publication date: 7 October 2021

Le Thanh Ha and Finch Nigel

This paper analyzes variations in effects of monetary and fiscal shocks on responses of macroeconomic variables, determinacy region and welfare costs due to changes in…

Abstract

Purpose

This paper analyzes variations in effects of monetary and fiscal shocks on responses of macroeconomic variables, determinacy region and welfare costs due to changes in trend inflation.

Design/methodology/approach

The authors develops the New-Keynesian model, which the central banks can employ either nominal interest rate (IR rule) or money supply (MS rule) to conduct monetary policies. They also use their budgets for capital and recurrent spending to conduct fiscal policies. By using simulated method of moment (SMM) for parameter estimation, the authors characterize Vietnam's economy during 1996Q1 -2015Q1.

Findings

The results report that consequences of monetary policy and fiscal policy shocks become more serious if there is a rise in trend inflation. Furthermore, the money supply might not be an effective instrument and using the government budget for recurrent spending produces severe consequences in the high-trend-inflation economy.

Originality/value

This is the first paper that examines the effects of trend inflation on the monetary and fiscal policy implementation in the case of Vietnam.

Details

Journal of Economics and Development, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1859-0020

Keywords

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