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Article
Publication date: 9 August 2019

Krunal K. Punjani, V.V. Ravi Kumar and Sanjeev Kadam

The purpose of this paper is to quantitatively assess the essential trends of existing research on “puffery in advertising” through bibliometric analysis.

Abstract

Purpose

The purpose of this paper is to quantitatively assess the essential trends of existing research on “puffery in advertising” through bibliometric analysis.

Design/methodology/approach

This study uses citation data collected through Scopus and Google Scholar for the research area “puffery in advertising” to investigate the most productive journals, top countries of affiliation and prominent years with maximum citations. The study analyses the 87 articles related to “puffery in advertising,” published during 1840 to 2018. Moreover, this study also presents graphical analysis through network maps.

Findings

“Puffery in advertising” has remained an under-researched area. However, records of past ten years indicate marginal growth in the number of publications. USA dominates this research area with most numbers of articles published till date. Through clustering of subject areas, it is found that majority of articles have been published under the subject area of “Business, Management and Accounting.” Interestingly, the results of the network maps slightly differ from that of citation table.

Practical implications

This paper is useful for any reader or researcher who wants to understand the trends of “puffery in advertising” in terms of citation analysis, authors and affiliation countries, and prominent years with maximum citations, which would further enable them to discover emerging research areas, potential research collaborations and publications.

Originality/value

To the knowledge of the authors, this is the first ever bilbiometric study on “puffery in advertising” providing a bird’s-eye view of the essential trends.

Details

Benchmarking: An International Journal, vol. 26 no. 8
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 24 February 2021

Krishna Vishwanath Iyer and V.V. Ravi Kumar

This paper aims to propose an innovative blockchain-based system enabling implementation of a bond-pays model in credit rating industry. Issuer-pays model has led to…

Abstract

Purpose

This paper aims to propose an innovative blockchain-based system enabling implementation of a bond-pays model in credit rating industry. Issuer-pays model has led to conflict of interest resulting in rating shopping and inflation. Alternative business models have their own problems, e.g. investor-pays model suffers from “free rider” and public dissemination challenges, whereas government-controlled business models can lead to market distortion. Bond-pays model has been difficult to implement owing to operational difficulties in managing co-ordination amongst multiple entities involved, often with conflicting goals. Blockchain technology enables inter-organizational systems that foster trust amongst non-trusting entities, facilitating business functions such as credit rating to be carried out.

Design/methodology/approach

This paper outlines current processes in credit rating business that has led to repeated rating failures and proposes a new set of processes, leveraging capabilities of blockchain technology to enable implementation of an arms-length bond-pays model.

Findings

A proof-of-concept system, namely, rating chain has been designed to implement a small part of the proposed model to establish technical feasibility in a blockchain environment.

Practical implications

A fully functional blockchain-based system on bond-pays business model, if built and adopted, could impact how credit rating market functions currently and could contribute to a reduction in rating-related challenges.

Originality/value

The proposal to adopt blockchain technologies in implementing a bond-pays model in credit rating industry is a novel contribution.

Article
Publication date: 13 May 2021

Krunal K. Punjani and V.V. Ravi Kumar

The purpose of this study is to develop a framework to investigate the mediating role of attitude toward advertising for the relationship between the exogenous constructs…

Abstract

Purpose

The purpose of this study is to develop a framework to investigate the mediating role of attitude toward advertising for the relationship between the exogenous constructs – advertising puffery and celebrity trustworthiness, and an endogenous construct purchase intent.

Design/methodology/approach

This paper has proposed a conceptual model based on the previous relevant studies and conducted a survey of 223 youth respondents from India. Further, structural equation model with the help of AMOS software was used to test the relationship among the proposed constructs.

Findings

This paper has considered advertising puffery and celebrity trustworthiness as exogenous constructs, attitude toward advertising as a mediating construct and purchase intent as an endogenous construct. The results revealed that advertising puffery influenced purchase intent and attitude toward advertising inversely, whereas celebrity trustworthiness positively influenced both purchase intent and attitude toward advertising. Additionally, attitude toward advertising was found to be a significant predictor of the purchase intent. Moreover, attitude toward advertising is found to have significant partial mediation between the constructs, celebrity trustworthiness and purchase intent.

Practical implication

This paper is useful for the marketers of soft drinks and other low-involvement products in India to understand the perceptions of the youth toward advertising with puffery content and celebrity endorser.

Originality/value

This study is a unique attempt to build a framework involving a combination of advertising puffery and celebrity trustworthiness to analyze the mediating effect of attitude toward advertising on the purchase Intent.

Details

Journal of Advances in Management Research, vol. 18 no. 5
Type: Research Article
ISSN: 0972-7981

Keywords

Article
Publication date: 16 December 2020

Neha Dhruv Agarwal and V.V. Ravi Kumar

The purpose of this paper is to present an overview of the research which has been done during the past three decades on the topic of green advertising and identify gaps…

1348

Abstract

Purpose

The purpose of this paper is to present an overview of the research which has been done during the past three decades on the topic of green advertising and identify gaps for future research.

Design/methodology/approach

The methodology that has been adopted for analysis is two-pronged – the first being a literature review with tabulation of data using excel sheets and bar graphs and the second being a bibliometric review using the software VOSviewer. Both approaches analyze the number of citations, keywords, authors, journals and countries. A database of 113 articles from 1990 to 2020 is generated from Web of Science.

Findings

Major contributors to the topic of green advertising research have been identified. Thematic classification is created to understand the subtopics of green advertising. Under this classification, nine subtopics have been identified. Six core research gaps have been identified for future research in the area of green advertising.

Practical implications

The study helps identify where green advertising research is being conducted, its growth potential and future prospects. This research work will enable the industry to gain new insights into this emerging field of green advertising for incorporating the same in their advertising campaigns in view of growing consumer concerns on environment.

Originality/value

The paper provides a comprehensive overview of the current status of research in green advertising. The paper is unique as it is the only review on the topic of green advertising. Given the increasing trend of going green among consumers, the paper adds tremendous value to the field of green advertising.

Details

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

Keywords

Article
Publication date: 18 November 2022

Deepika Pandita and V.V. Ravi Kumar

This research aims to combine and extend the literature on the self-monitoring approach used by faculty members in online teaching during the COVID-19 pandemic using the…

Abstract

Purpose

This research aims to combine and extend the literature on the self-monitoring approach used by faculty members in online teaching during the COVID-19 pandemic using the Technology Acceptance Model (TAM) model. The study also highlights the challenges faced by faculty members in online teaching.

Design/methodology/approach

Based on a mixed methodology approach, the primary data was obtained from the faculty members of the post-graduate business schools. This data enabled the measurement of self-monitoring adopted by the faculty members and the relationship of the factors by using the TAM model. Multivariate regression was adopted to study the relationships between the elements in the TAM model and faculty members’ self-monitoring. Secondly, a few exploratory questions were asked to the respondents about the challenges faced by them during online teaching.

Findings

The quantitative analysis conducted using multiple regression directed that the faculty’s contentment with any digital platform influenced their engagement, attention and participation while taking an online class as a part of the self-monitoring process. The perception of the technology platforms used for online teaching affected the faculty members’ self-monitoring dimensions: attention, participation and engagement. Based on the qualitative approach, the thematic analysis pointed out five major challenges for faculty members in conducting online classes: I.T. support, hesitation, interaction with peers and students, proficiency with an online platform and evaluation challenges.

Research limitations/implications

This study was conducted during the complete lockdown of the COVID-19 pandemic; many faculty members were initially trained to get familiarized with the online teaching platforms and educate students. Hence, this study enriches the literature on online teaching during pandemic times.

Practical implications

To ensure that the faculty impacts quality online education and the students obtain the knowledge and skills required, faculty need to alter their pedagogy based on the technology they use to focus on their students’ teaching, learning and needs.

Originality/value

This study measures self-monitoring and its dimensions for faculty members, which is unique in nature. This was the first time the faculty members were imposed with the responsibility of online teaching and ensuring that the learning-teaching process was fruitful. This study has both-theoretical and practical implications as the paper focuses on various insights which can make online teaching-learning more effective.

Details

Higher Education, Skills and Work-Based Learning, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2042-3896

Keywords

Article
Publication date: 27 April 2018

Khaled Halteh, Kuldeep Kumar and Adrian Gepp

Financial distress is a socially and economically important problem that affects companies the world over. Having the power to better understand – and hence aid businesses…

1155

Abstract

Purpose

Financial distress is a socially and economically important problem that affects companies the world over. Having the power to better understand – and hence aid businesses from failing, has the potential to save not only the company, but also potentially prevent economies from sustained downturn. Although Islamic banks constitute a fraction of total banking assets, their importance have been substantially increasing, as their asset growth rate has surpassed that of conventional banks in recent years. The paper aims to discuss these issues.

Design/methodology/approach

This paper uses a data set comprising 101 international publicly listed Islamic banks to work on advancing financial distress prediction (FDP) by utilising cutting-edge stochastic models, namely decision trees, stochastic gradient boosting and random forests. The most important variables pertaining to forecasting corporate failure are determined from an initial set of 18 variables.

Findings

The results indicate that the “Working Capital/Total Assets” ratio is the most crucial variable relating to forecasting financial distress using both the traditional “Altman Z-Score” and the “Altman Z-Score for Service Firms” methods. However, using the “Standardised Profits” method, the “Return on Revenue” ratio was found to be the most important variable. This provides empirical evidence to support the recommendations made by Basel Accords for assessing a bank’s capital risks, specifically in relation to the application to Islamic banking.

Originality/value

These findings provide a valuable addition to the limited literature surrounding Islamic banking in general, and FDP pertaining to Islamic banking in particular, by showcasing the most pertinent variables in forecasting financial distress so that appropriate proactive actions can be taken.

Details

Managerial Finance, vol. 44 no. 6
Type: Research Article
ISSN: 0307-4358

Keywords

Article
Publication date: 1 August 2006

T.V.S. Sekhar, R. Sivakumar and T.V.R. Ravi Kumar

To study the steady viscous incompressible electrically conducting fluid flow past a circular cylinder under the influence of an external magnetic field at high Reynolds…

Abstract

Purpose

To study the steady viscous incompressible electrically conducting fluid flow past a circular cylinder under the influence of an external magnetic field at high Reynolds numbers (Re).

Design/methodology/approach

The finite difference method is applied to solve the governing non‐linear Navier‐Stokes equations. First order upwind difference scheme is applied to the convective terms. The multigrid method with coarse grid correction is used to enhance the convergence rate. The defect correction technique is employed to achieve the second order accuracy.

Findings

A non‐monotonic behavior in separation angle when N≥5 and separation length when N≥3 is found with the increase of external magnetic field. The drag coefficient is found to increase with increase of N. The pressure drag coefficient, total drag coefficient and rear pressure are found to exhibit a linear dependence with N0.5. The pressure Poisson equation is solved to find pressure fields in the flow region. It is found that the upstream base pressure increases with increase of external magnetic field while the downstream base pressure decreases with the increase of the external magnetic field.

Originality/value

The non‐monotonic behaviors in the separation angle and separation length at high Re are explained through pressure fields which are found first time for this problem. The linear dependence of the pressure drag coefficient, total drag coefficient and the pressure at rear stagnation point with N0.5 is in agreement with experimental findings.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 16 no. 6
Type: Research Article
ISSN: 0961-5539

Keywords

Content available
Book part
Publication date: 21 January 2021

Alberto Tron

Abstract

Details

Corporate Financial Distress
Type: Book
ISBN: 978-1-83982-981-9

Article
Publication date: 3 May 2016

Jozef Kuczmaszewski, Ireneusz Zagórski and Anna Dziubinska

The purpose of this paper is to determine time-to-ignition of magnesium alloy chips and the ignition-preceding stages as well as to examine chip morphology. The tests were…

Abstract

Purpose

The purpose of this paper is to determine time-to-ignition of magnesium alloy chips and the ignition-preceding stages as well as to examine chip morphology. The tests were conducted according to the following pattern: directly after a milling operation, after ignition using a special test stand located outside the machine tool and after intensive oxidation which prevented ignition.

Design/methodology/approach

Milling is a machining process widely used in the manufacturing of various parts that are applied, e.g. in the aircraft industry. Milling is used for both roughing and finishing machining. In the dry machining of magnesium alloys, spontaneous ignition can occur; therefore, the analysis of chip temperature in the cutting area is of great significance. Additionally, time-to-ignition and chip morphology are crucial when considering the safety of magnesium alloy machining processes.

Findings

The experimental results demonstrate the effect of parameters of the milling process on time-to-ignition of chips made of magnesium alloys AZ31 and AZ91HP. The experiments also involved examining the morphology of a selection of chips produced at the maximum cutting velocity vc and feed per tooth fz. In addition, we analysed the morphology of both ignition products and chips subjected to high temperature where ignition did not occur.

Practical Implications

Based on the time-to-ignition and chip morphology results, it is possible to indicate both safety levels in machining and the efficient range of parameters in the milling of aircraft parts made of magnesium alloys.

Originality/value

The paper presents a new approach to assessing safety in milling operations. The results of the tests of chip flammability (time-to-ignition) which were run at a special test stand placed outside the machine tool enabled determination of both safety and efficiency range of the milling process.

Details

Aircraft Engineering and Aerospace Technology: An International Journal, vol. 88 no. 3
Type: Research Article
ISSN: 1748-8842

Keywords

Article
Publication date: 4 November 2021

B. Omkar Lakshmi Jagan and S. Koteswara Rao

Doppler-Bearing Tracking (DBT) is commonly used in target tracking applications for the underwater environment using the Hull-Mounted Sensor (HMS). It is an important and…

Abstract

Purpose

Doppler-Bearing Tracking (DBT) is commonly used in target tracking applications for the underwater environment using the Hull-Mounted Sensor (HMS). It is an important and challenging problem in an underwater environment.

Design/methodology/approach

The system nonlinearity in an underwater environment increases due to several reasons such as the type of measurements taken, the speeds of target and observer, environmental conditions, number of sensors considered for measurements and so on. Degrees of nonlinearity (DoNL) for these problems are analyzed using a proposed measure of nonlinearity (MoNL) for state estimation.

Findings

In this research, the authors analyzed MoNL for state estimation and computed the conditional MoNL (normalized) using different filtering algorithms where measurements are obtained from a single sensor array (i.e. HMS). MoNL is implemented to find out the system nonlinearity for different filtering algorithms and identified how much nonlinear the system is, that is, to measure nonlinearity of a problem.

Originality/value

Algorithms are evaluated for various scenarios with different angles on the target bow (ATB) in Monte-Carlo simulation. Computation of root mean squared (RMS) errors in position and velocity is carried out to assess the state estimation accuracy using MATLAB.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 15 no. 3
Type: Research Article
ISSN: 1756-378X

Keywords

1 – 10 of 737