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Article
Publication date: 10 May 2019

Shikha Aggarwal and Manoj Kumar Srivastava

The purpose of this paper is to explore the phenomenon of collaborative resilience through in-depth case study research in India. This study endeavours to identify and model the…

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Abstract

Purpose

The purpose of this paper is to explore the phenomenon of collaborative resilience through in-depth case study research in India. This study endeavours to identify and model the critical success factors of collaborative resilience.

Design/methodology/approach

Eight critical success factors of collaborative resilience were identified through literature search. Modelling and analysis of these factors was conducted using grey-based DEMATEL method. Data were collected from supply chain experts in Indian industries.

Findings

It was found that organizational factors like top management commitment and resilience system design exhibit highest causality on the entire system. Also, co-adaptive transformation and resilience goal alignment are most important for managers. Overall, this research provides a guideline and mechanism to build collaborative resilience in supply chains.

Practical implications

Through the identification of eight critical success factors, this research has related and grounded the concept of collaborative resilience into pre-exiting supply chain practices and concepts. Through rigorous quantitative modelling and analysis of these factors, this research provides a guideline to managers for building collaborative resilience in supply chains.

Originality/value

To the best of the authors’ knowledge, this is the first study that has proposed the concept of collaborative resilience in supply chain and has conducted empirical research on the phenomenon in India.

Details

International Journal of Quality & Reliability Management, vol. 36 no. 8
Type: Research Article
ISSN: 0265-671X

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Article
Publication date: 25 October 2019

Anupama Prashar and Shikha Aggarwal

The purpose of this paper is to recognize and model the enablers of supply chain quality risk management (SCQRM) through an empirical study in the Indian automotive companies.

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Abstract

Purpose

The purpose of this paper is to recognize and model the enablers of supply chain quality risk management (SCQRM) through an empirical study in the Indian automotive companies.

Design/methodology/approach

A systematic literature review was conducted to extract the key enablers of quality management (QM) and risk management in the context of manufacturing supply chains. A grey-based DEMATEL method was employed to identify and model the key enablers of SCQRM.

Findings

The results of empirical study showed that the effectiveness of QM and risk management systems for automotive supply chain is driven by a set of common enablers that could be employed for developing dedicated SCQRM systems. The common causal factors in the model such as the involvement of top leaders, inter-firm communication and strategic-level alignment between supply chain members on both these issues clearly state that there is a need for a broader policy at an early stage.

Practical implications

It is crucial for the automotive companies to develop and implement structured systems for SCQRM keeping in view the impact of any unaddressed quality risk on missed production targets, vehicle recalls and safety hazards.

Originality/value

This study ascertains the key enablers of SCQRM with emblematic focus on automotive industry and identifies if there are commonalities in these enablers.

Details

The TQM Journal, vol. 32 no. 5
Type: Research Article
ISSN: 1754-2731

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Article
Publication date: 7 January 2021

Alekh Gour, Shikha Aggarwal and Mehmet Erdem

The dynamic yet volatile nature of tourism and travel industry in a competitive environment calls for enhanced marketing intelligence and analytics, especially for those entities…

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Abstract

Purpose

The dynamic yet volatile nature of tourism and travel industry in a competitive environment calls for enhanced marketing intelligence and analytics, especially for those entities with limited marketing budgets. The past decade has witnessed an increased use of user-generated content (UGC) analysis as a marketing tool to make better informed decisions. Likewise, textual data analysis of UGC has gained much attention among tourism and hospitality scholars. Nonetheless, most of the scholarly works have focused on the singular application of an existing method or technique rather than using a multi-method approach. The purpose of this study is to propose a novel Web analytics methodology to examine online reviews posted by tourists in real time and assist decision-makers tasked with marketing strategy and intelligence.

Design/methodology/approach

For illustration, the case of tourism campaign in India was undertaken. A total of 305,298 reviews were collected, and after filtering, 276,154 reviews were qualified for analysis using a string of models. Descriptive charts, sentiment analysis, clustering, topic modeling and machine learning algorithms for real-time classification were applied.

Findings

Using big data from TripAdvisor, a total of 145 tourist destinations were clustered based on tourists’ perceptions. Further exploration of each cluster through topic modeling was conducted, which revealed interesting insights into satisfiers and dissatisfiers of different clusters of destinations. The results supported the use of the proposed multi-method Web-analytics approach.

Practical implications

The proposed machine learning model demonstrated that it could provide real-time information on the sentiments in each incoming review about a destination. This information might be useful for taking timely action for improvisation or controlling a service situation.

Originality/value

In terms of Web-analytics and UGC, a comprehensive analytical model to perform an end-to-end understanding of tourist behavior patterns and offer the potential for real-time interpretation is rarely proposed. The current study not only proposes such a model but also offers empirical evidence for a successful application. It contributes to the literature by providing scholars interested in textual analytics a step-by-step guide to implement a multi-method approach.

Details

International Journal of Contemporary Hospitality Management, vol. 33 no. 2
Type: Research Article
ISSN: 0959-6119

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Article
Publication date: 15 March 2016

Shikha Aggarwal and Manoj Kumar Srivastava

The purpose of this paper is to understand the process and role of supply chain collaboration in Indian agri-food industry and highlight the perceptions of buyers and suppliers…

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Abstract

Purpose

The purpose of this paper is to understand the process and role of supply chain collaboration in Indian agri-food industry and highlight the perceptions of buyers and suppliers towards each other. The paper seeks to find out how can collaboration in agri-food supply chain lead to low wastage and better efficiency. Also, the paper attempts to capture the nuances of collaborative practices and perceptions of buyers and suppliers towards collaboration.

Design/methodology/approach

Case study methodology in a top Indian food-processing firm was conducted to explore the application and benefits of collaboration in supply chains. In-depth interviews with upstream supply chain members were conducted to understand the process of supply chain collaboration. Grounded Theory Methodology was used to analyze the transcripts.

Findings

Firstly, through content analysis of interview transcripts a comprehensive framework and a generic model was derived to understand the process of supply chain collaboration. Supplier selection, Joint Planning and Information sharing were found to be main antecedents while profits; waste reduction and supply chain efficiency were major outcomes of collaboration. Secondly, it was found that the suppliers are usually more skeptical of the buyers and don’t trust them easily. While, for buyers, it is very important to have good relations with suppliers and should make provide incentives to suppliers for collaboration.

Originality/value

To the best of our knowledge, this is the first study to elaborate the process and outcomes of collaborative activities along an Indian agri-food supply chain through in-depth qualitative study. In developing countries, agriculture industry is the backbone of economy. Therefore, the insights developed in this study may be useful for managers in agribusiness to dwell into such supply chain practices that would increase profit and efficiency, and decrease wastage.

Details

British Food Journal, vol. 118 no. 5
Type: Research Article
ISSN: 0007-070X

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Book part
Publication date: 20 May 2024

Anuj Aggarwal, Sparsh Agarwal, Vedant Jaiswal and Poonam Sethi

Introduction: Historically, the corporate governance (CG) framework was designed primarily to safeguard the economic interests of shareholders, as a result of political and legal…

Abstract

Introduction: Historically, the corporate governance (CG) framework was designed primarily to safeguard the economic interests of shareholders, as a result of political and legal interventions, developing into an effective instrument for stakeholders and society in general.

Purpose: The core objectives of the study include: identifying journals/publications responsible for publishing CG studies in India, key CG issues covered by CG researchers, the amount of high-impact CG literature across different time periods, sectors/industries covered by CG researchers and different research instruments (quantitative or qualitative) used in CG studies in India.

Design/methodology: The chapter used a sample of 130 corporate governance studies that fulfil the selection criteria, drawn from the repository of over 100 reputed journals that are either recognised by the Australian Business Deans Council (ABDC) or indexed by SCOPUS. A systematic literature review has been carried out pertaining to CG issues in India, based on various statistical tools, data, industries, research outlets & citations, etc.

Findings: The results show an overwhelming number of studies have assessed the relationship between CG variables and firm performance, which could be measured through a variety of performance metrics such as ROA and ROI. Apart from empirical analysis, many conceptual studies use repetitive basic statistical tools like descriptive statistics or regression analysis. The chapter offers insights into current achievements and future development.

Originality/value: This bibliometric study is a useful guide for policymakers, corporate leaders, research organisations and management faculty to draw insights from work produced by eminent researchers in GC in India.

Details

Sustainable Development Goals: The Impact of Sustainability Measures on Wellbeing
Type: Book
ISBN: 978-1-83549-460-8

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Article
Publication date: 5 July 2022

Ruchika Jain, Naval Garg and Shikha N. Khera

With the increase in the adoption of artificial intelligence (AI)-based decision-making, organizations are facilitating human–AI collaboration. This collaboration can occur in a…

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Abstract

Purpose

With the increase in the adoption of artificial intelligence (AI)-based decision-making, organizations are facilitating human–AI collaboration. This collaboration can occur in a variety of configurations with the division of labor, with differences in the nature of interdependence being parallel or sequential, along with or without the presence of specialization. This study intends to explore the extent to which humans express comfort with different models human–AI collaboration.

Design/methodology/approach

Situational response surveys were adopted to identify configurations where humans experience the greatest trust, role clarity and preferred feedback style. Regression analysis was used to analyze the results.

Findings

Some configurations contribute to greater trust and role clarity with AI as a colleague. There is no configuration in which AI as a colleague produces lower trust than humans. At the same time, the human distrust in AI may be less about human vs AI and more about the division of labor in which human–AI work.

Practical implications

The study explores the extent to which humans express comfort with different models of an algorithm as partners. It focuses on work design and the division of labor between humans and AI. The finding of the study emphasizes the role of work design in human–AI collaboration. There is human–AI work design that should be avoided as they reduce trust. Organizations need to be cautious in considering the impact of design on building trust and gaining acceptance with technology.

Originality/value

The paper's originality lies in focusing on the design of collaboration rather than on performance of the team.

Details

Kybernetes, vol. 52 no. 11
Type: Research Article
ISSN: 0368-492X

Keywords

Available. Content available
Book part
Publication date: 20 May 2024

Abstract

Details

Sustainable Development Goals: The Impact of Sustainability Measures on Wellbeing
Type: Book
ISBN: 978-1-83797-098-8

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Article
Publication date: 11 October 2021

Waleed M. Al-ahdal and Hafiza Aishah Hashim

The purpose of this paper is to analyse the influence of audit committee characteristics and external audit quality on the performance of non-financial public limited companies…

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Abstract

Purpose

The purpose of this paper is to analyse the influence of audit committee characteristics and external audit quality on the performance of non-financial public limited companies listed on the National Stock Exchange 100.

Design/methodology/approach

One-way random effect panel data regression was applied to 74 non-financial firms in the Nifty 100 from 2014 until 2019. The overall audit committee index and external audit index were built based on the new Indian Companies Act, 2013 and on a review of the literature to capture the impact of the new Act on firm financial performance.

Findings

The outcome of the study revealed that there is lack of evidence to show that audit committee characteristics improve the performance of top Indian non-financial listed firms. However, external audit quality was found to have a significant positive impact on the financial performance of firms as measured by Tobin’s Q, while firm size and leverage were found to have a significant impact on the financial performance of firms as measured by return on assets and return on equity.

Practical implications

This paper will be greatly beneficial for financial practitioners and policymakers because it provides practical suggestions and recommendations about the types of external audit that are indispensable for the overall effectiveness and performance of firms. The study findings may also aid strategic policy formulation and execution for better corporate governance practices for the purpose of profit and wealth maximisation.

Originality/value

To the best of the authors’ knowledge, to date, no previous research has evaluated the effects of audit committee features and external audit quality on the financial performance of firms in India after the implementation of the new Companies Act, 2013. Hence, this study fills this void in the present literature by examining the overall features of the audit committee and external audit and their impact on firm performance in the setting of India.

Details

Corporate Governance: The International Journal of Business in Society, vol. 22 no. 2
Type: Research Article
ISSN: 1472-0701

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Case study
Publication date: 18 July 2024

Shikha Bhatia and Sanjay Dhamija

After working through the case and assignment questions, students will be able to recognize essential considerations for the initial public offerings (IPO) decision, compare…

Abstract

Learning outcomes

After working through the case and assignment questions, students will be able to recognize essential considerations for the initial public offerings (IPO) decision, compare different types of fundraising options for startups, evaluate the free pricing regime for IPO pricing, examine the pricing process of IPOs, explore the issue of valuation of IPOs and assess the decision choices of the founder regarding IPO given the trade-offs and market conditions.

Case overview/synopsis

The case study explores the dilemma of Ghazal Alagh, the co-founder and chief innovation officer of Mamaearth, a direct-to-consumer babycare and skincare unicorn, regarding its IPO decision. Mamaearth had filed the draft offer document with SEBI in December 2022, and Ghazal was busy engaging with the investment bankers for the upcoming IPO. However, the weak market sentiments and shelving of IPO plans by many startups were forcing her to think about facing the possibility of postponing the IPO or continuing the IPO process but at lower valuations. The case study provides an opportunity to explore a startup’s financing choices. It allows for discussion of various IPO challenges from the perspectives of founders, venture investors, regulators, investment bankers and new IPO investors.

Complexity academic level

This case study is best suited for senior undergraduate- and graduate-level business school students in courses focusing on entrepreneurship, corporate finance, financial management, strategic management and investment banking.

Subject code

CSS1: Accounting and finance.

Supplementary materials

Teaching notes are available for educators only.

Details

Emerald Emerging Markets Case Studies, vol. 14 no. 2
Type: Case Study
ISSN: 2045-0621

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Article
Publication date: 13 September 2011

Raju Shukla and Pramod Kumar

The purpose of this paper is to develop eco‐friendly coatings based on low‐cost epoxide resins prepared by using a natural phenolic material such as cardanol (non‐toxic), in place…

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Abstract

Purpose

The purpose of this paper is to develop eco‐friendly coatings based on low‐cost epoxide resins prepared by using a natural phenolic material such as cardanol (non‐toxic), in place of ordinary phenol (toxic), which can be self‐curable at an optimum temperature.

Design/methodology/approach

Cardanol‐formaldehyde novolac resins (CNs) were prepared by reacting cardanol with formaldehyde in different molar ratios varying from 1:0.6 to 1:0.9. Prepared CNs were epoxidised by reacting with epichlorohydrin to produce epoxide resins, which would be called as epoxidised CNs (ECNs). Further, ECNs were modified by reacting with diethanolamine (DEtOA), a secondary amine to introduce tertiary amino group(s) into the molecules, required for self‐curability of ECNs. These modified ECNs are referred to as MECNs. The molar ratio of ECNs to DEtOA was taken in accordance with epoxy functionality of epoxide resins (ECNs) which ranged from 0.5 to 2.9. Nine numbers of MECNs (MECN1 to MECN9) were prepared by using four epoxide resins. These resins viz. CNs, ECNs and MECNs were characterized by 1H NMR and FTIR spectroscopic methods for their structure elucidatation, and by gel permeation chromatography for determining their molecular weights.

Findings

The most suitable molar ratio of ECN:DEtOA for the preparation of MECNs was found to be 1:1. The CN prepared by using cardanol and formaldehyde in the molar ratio of 1:0.7 was used for the preparation of ECN2 and MECN2. Applied films of epoxide resins, designated as MECN2, had reasonably good physical and chemical resistance properties. With a wide cure window, the films of MECN2 were found to be self‐curable at an optimum cure schedule of 160°C/30 min. Owing to self‐curability of the developed epoxide resins, the coatings based on them did not require any additional/external crosslinker to be incorporated in the coating composition.

Research limitations/implications

The prepared epoxide resins (MECNs) had good physical and chemical resistance properties, but demonstrated low stability and low resistance to xylene, in particular.

Originality/value

The paper shows how the epoxide resins were prepared by using a low‐cost phenolic material (cardanol) which is obtained from natural renewable resources, instead of petroleum, and is non‐toxic. These developed coatings can be applied as primer coat and top coat on metallic substrates. True self‐curability of the coating films has been achieved via anionic polymerization.

Details

Pigment & Resin Technology, vol. 40 no. 5
Type: Research Article
ISSN: 0369-9420

Keywords

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