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Article
Publication date: 9 July 2021

Shekhar Shukla and Ashish Dubey

Quantitative objective studies on the problem of celebrity selection are lacking. Furthermore, existing research does not recognize the group decision-making nature and…

Abstract

Purpose

Quantitative objective studies on the problem of celebrity selection are lacking. Furthermore, existing research does not recognize the group decision-making nature and the possibility of customer involvement in celebrity or influencer selection for social media marketing. This study conceptualizes celebrity selection as a multi-attribute group decision-making problem while deriving the final ranking of celebrities/influencers using interactive and flexible criteria based on the value tradeoff approach. The article thus proposes and demonstrates a quantitative objective method of celebrity selection for a brand or campaign in an interactive manner incorporating customer's preferences as well.

Design/methodology/approach

Each decision-maker's preferences for celebrity selection criteria are objectively captured and converted into an overall group preference using a modified generalized fuzzy evaluation method (MGFEM). The final ranking of celebrities is then derived from an interactive and criteria-based value tradeoff approach using the flexible and interactive tradeoff method.

Findings

The approach gives a different ranking of celebrities for two campaigns based on group members' perceived importance of the selection criteria in different scenarios. This group includes decision-makers (DMs) from the brand, marketing communication agency and brand's customers. Further, each group member has an almost equal say in the decision-making based on fuzzy evaluation and an interactive and flexible value tradeoff approach to celebrity selection for receiving a rank order.

Research limitations/implications

The approach uses secondary data on celebrities and hypothetical scenarios. Comparison with other methods is difficult, as no other study proposes a multi-criteria group decision-making approach to celebrity selection especially in a social media context.

Practical implications

This approach can help DMs make more informed, objective and effective decisions on celebrity selection for their brands or campaigns. It recognizes that there are multiple stakeholders, including the end customers, each of whose views is objectively considered in the aspects of group decision-making through a fuzzy evaluation method. Further, this study provides a selection mechanism for a given context of endorsement by objectively and interactively encapsulating stakeholder preferences.

Originality/value

This robust and holistic approach to celebrity selection can help DMs objectively make consensual decisions with partial or complete information. This quantitative approach contributes to the literature on selection mechanisms of influencers, celebrities, social media opinion leaders etc. by providing a methodological aid that encompasses aspects of interactive group decision-making for a given context. Moreover, this method is useful to DMs and stakeholders in understanding and incorporating the effect of nature or context of the brand and the campaign type in the selection of a celebrity or an influencer.

Details

Journal of Research in Interactive Marketing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2040-7122

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Book part
Publication date: 14 October 2019

Sameer Mathur and Ashish Dubey

This paper identifies and models the effect of eight attributes that influence hotel room rents in India. These attributes are conceptually grouped into three factors: (1…

Abstract

This paper identifies and models the effect of eight attributes that influence hotel room rents in India. These attributes are conceptually grouped into three factors: (1) site factors including the presence or absence of a “swimming pool,” “free breakfast,” and the “hotel capacity”; (2) situational factors including, “distance from the airport,” “weekend/weekday,” “city population,” “cost of living”; and (3) a reputation factor indicated by “star rating.” Our regression model uses secondary data collected from a hotel booking website for 570 hotels across 18 cities of India. The results indicate that six out of these eight variables namely, presence of swimming pool, free breakfast, hotel capacity, distance from the airport, city population, and hotel star rating have a significant impact on hotel room rents in India.

Details

Advances in Hospitality and Leisure
Type: Book
ISBN: 978-1-83867-956-9

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Book part
Publication date: 14 October 2019

Abstract

Details

Advances in Hospitality and Leisure
Type: Book
ISBN: 978-1-83867-956-9

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Article
Publication date: 11 December 2020

Anchal Patil, Vipulesh Shardeo, Ashish Dwivedi and Jitender Madaan

Block chain technology (BCT) has emerged as a promising solution for the co-ordination and aid mechanism issues in the context of humanitarian supply chain (HSC). However…

Abstract

Purpose

Block chain technology (BCT) has emerged as a promising solution for the co-ordination and aid mechanism issues in the context of humanitarian supply chain (HSC). However, implementation of BCT in HSC discerns several barriers. Therefore, the purpose of this study is to identify and model the block chain implementation barriers in the context of HSC.

Design/methodology/approach

In the present study, 14 potential barriers to BCT adoption in HSC have been identified through literature survey. The survey comprises white papers, pilot studies, conference proceedings and journal articles. Further, the identified barriers were finalised in consultation with a team of experts. The team comprised experienced stakeholders working in the humanitarian domain and BCT development. The barriers were categorised into four (technological, organisational, exogenous and economic) perspectives adopting the kappa statistics. Further, the barriers were prioritised using fuzzy best worst method (FBWM) approach. Later, sensitivity analysis was performed to check the robustness and viability of the model.

Findings

The findings from the study indicate that the barriers, such as “data privacy, ownership, and security issues” (B1), “funding issues and cost complexity” (B3) and “technological complexities” (B8), are relatively more influential. The HSC stakeholders and BCT developers are required to identify the safety mechanism against the misuse of victim’s data. The funding issues and technological complexities are interrelated and need synergetic cooperation between blockchain developers, donors, humanitarian organisations (HOs) and other HSC stakeholders. Further, “lack of awareness and understanding among stakeholders” (B6) and “interoperability, collaboration and cross-pollination among HOs” (B5) were identified as least influential barriers to BCT adoption in HSC.

Research limitations/implications

In literature, limited study has been observed on determining barriers to BCT implementation. A more systematic method and statistical confirmation is necessary to establish further new confronting barriers. This study is limited to Indian context.

Originality/value

To the best of the authors’ knowledge, this study is first of its kind to use an FBWM approach for prioritising the barriers to BCT adoption in the context of HSC. The study provides potential barriers to BCT and categorises them into four different perspectives, along with their degree of influence.

Details

Journal of Global Operations and Strategic Sourcing, vol. 14 no. 1
Type: Research Article
ISSN: 2398-5364

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Article
Publication date: 25 June 2021

Nishtha Agarwal, Nitin Seth and Ashish Agarwal

The present study aims at developing a model to quantify supply chain resilience as a single numerical value. The numerical value is called resilience index that measures…

Abstract

Purpose

The present study aims at developing a model to quantify supply chain resilience as a single numerical value. The numerical value is called resilience index that measures the resilience capability of the case company's supply chain. The model calculates the index value based on the interactions between the enablers of supply chain resilience and its dimensions.

Design/methodology/approach

Graph theoretic approach (GTA) is used to evaluate the resilience index for the case company's supply chain. In GTA, the dimensions of resilience enablers and their interdependencies are modelled through a digraph. The digraph depicting the influence of each dimension is converted into an adjacency matrix. The permanent function value of the adjacency matrix is called the resilience index (RI).

Findings

The proposed approach has been illustrated in context of an Indian automobile organization, and value of the RI is evaluated. The best case and the worst-case values are also obtained with the help of GTA. It is noted from the model that strategic level dimension of enablers is most important in contributing towards supply chain resilience. They are followed by tactical and operational level enablers. The GTA framework proposed will help supply chain practitioners to evaluate and benchmark the supply chain resilience of their respective organizations with the best in the industry.

Originality/value

A firm can compare the RI of its own supply chain with other's supply chain or with the best in the industry for benchmarking purpose. Benchmarking of resilience will help organizations in developing strategies to compete in dynamic market scenario.

Details

Benchmarking: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-5771

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Article
Publication date: 16 September 2020

Nishtha Agarwal, Nitin Seth and Ashish Agarwal

The study aims at creating a sequence of implementing supply chain enablers to achieve a greater efficiency in the combination by establishing relationship among them.

Abstract

Purpose

The study aims at creating a sequence of implementing supply chain enablers to achieve a greater efficiency in the combination by establishing relationship among them.

Design/methodology/approach

To build resilience capability in supply chain, enablers have been first identified through literature review and experts' opinion. The shortlisting of enablers is done in a brainstorming session having experts from academia and industry. The methodology Automated Layout Design Program (ALDEP), which is being used for creating facility layout, is applied to understand the relationship among the enablers for a resilient supply chain.

Findings

The methodology ALDEP is applied to explore relationship among five enablers shortlisted after discussion with experts. The layout matrix with the highest score between enablers is taken as a basis to establish relationship between two enablers that an organization can use to build a resilient supply chain.

Originality/value

The study uses a novel method helping organizations to build resilient supply chains. This study will not only provide a starting point but also provide an entire model for building a resilient supply chain.

Details

Continuity & Resilience Review, vol. 2 no. 2
Type: Research Article
ISSN: 2516-7502

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Article
Publication date: 26 April 2019

Ashish Dwivedi, Dindayal Agrawal and Jitender Madaan

Sustainability is an integrating concept and demands strategic attention in developing countries like India. Due to strict environmental regulations and ongoing government…

Abstract

Purpose

Sustainability is an integrating concept and demands strategic attention in developing countries like India. Due to strict environmental regulations and ongoing government sustainable policies such as “Namami Gange,” leather industries are extensively facing challenges to conform themselves toward these sustainable policies. The major challenge faced by leather industries is the exponentially increasing cost of adaptation to sustainable product and process. Under these operational constraints, survival of Indian leather industries has become a major challenge. In this context, this paper aims to identify and evaluate sustainable manufacturing policies. The key performance indicators (KPIs) based on triple bottom line of sustainability can assist leather industries that are about to initiate adopting sustainable practices.

Design/methodology/approach

This paper demonstrates the role of KPIs for evaluating sustainable manufacturing policies for leather industries in India. Initially, an in-depth literature review analysis has been carried out to identify indicators for evaluation of sustainable manufacturing policies. In this work, an integrated methodology has been developed to refine the priority map of the aforementioned KPIs based on consensus building among experts using Kappa analysis. Total interpretive structural modeling (TISM) has been used to demonstrate relationships which explain the significance of the KPIs. Further, Matriced Impact Croises Multiplication Applique analysis has been carried out to explore the relationships amongst KPIs.

Findings

Based on above analysis, identified interactive relationships among the KPIs will assist managers and decision-makers to incorporate effective sustainable policies in leather industries.

Practical implications

It is expected that these identified interactive interrelationships between KPIs will certainly facilitate the leather industry to achieve higher sustainable performance and competitiveness.

Originality/value

This study carries out an in-depth literature review analysis of sustainable manufacturing policies in leather industry. The author proposes an integrated methodology using kappa analysis, consensus building and TISM for evaluation of sustainable policies based on the literature review analysis and expert opinion.

Details

Journal of Science and Technology Policy Management, vol. 10 no. 2
Type: Research Article
ISSN: 2053-4620

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Article
Publication date: 5 February 2018

Ashish Pandey

The purpose of this paper is to explore whether existing theories on saving behaviour and empirical findings on the determinants of saving behaviour can be generalised for…

Abstract

Purpose

The purpose of this paper is to explore whether existing theories on saving behaviour and empirical findings on the determinants of saving behaviour can be generalised for the low-income households in developing countries.

Design/methodology/approach

The paper adopts Van Manen’s hermeneutic phenomenology approach. Semi-structured interviews were conducted with female household members that belong to low-income households and do not have any member of the household with a permanent job. Interviews were conducted in the cities of Bangalore and Indore in India. Lived experience of participants was captured using conversational interviews and thematic analyses.

Findings

The paper provides evidence that the existing literature on saving behaviour is inadequate in explaining either the saving behaviour or the determinants for saving for low-income households in developing countries. This paper finds evidence of poor institutional access and reliance on informal financial intermediaries for low-income households.

Research limitations/implications

This paper establishes the need for a qualitative study with a large sample size to determine the policy interventions and institutional drivers that will encourage low-income households to migrate from the informal financial intermediaries to formal banking institutions.

Originality/value

To the best of author’s knowledge, this is the first qualitative paper aimed at understanding saving behaviour of low-income households. Extant literature is focused on normative economic frameworks that bear limited relation to the contextual realities of low-income households in the developing countries.

Details

Qualitative Research in Financial Markets, vol. 10 no. 1
Type: Research Article
ISSN: 1755-4179

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Article
Publication date: 6 February 2020

Ashish Dwivedi and Jitender Madaan

This study aims to propose a comprehensive framework among Key Performance Indicators (KPIs) for analyzing the Information Facilitated Product Recovery System (IFPRS) on…

Abstract

Purpose

This study aims to propose a comprehensive framework among Key Performance Indicators (KPIs) for analyzing the Information Facilitated Product Recovery System (IFPRS) on the basis of feedback captured from the industry experts and researchers.

Design/methodology/approach

Total Interpretive Structural Modeling (TISM) methodology interspersed with fuzzy MICMAC is used to extract the interrelationships and develop a hierarchical structure among the identified KPIs. Further, the Fuzzy Decision-Making Trial and Evaluation Laboratory (F-DEMATEL) method has been enforced to determine the intensity of these relationships and identify the most influential KPIs among identified KPIs from literature review and expert opinions. The outcome indicates that “information sharing,” “technology capacity” and “technology standards such as EDI, RFID” are the KPIs that have attained highest driving power.

Findings

This study has identified 15 KPIs of IFPRS and developed an integrated model using TISM and the fuzzy MICMAC approach, which is helpful to describe and organize the important KPIs and reveal the direct and indirect effects of each KPI on the IFPRS implementation. The integrated approach is developed, as the TISM model provides only binary relationship among KPIs, while fuzzy MICMAC analysis provides explicit analysis related to driving and dependence power of KPIs.

Research limitations/implications

Structural Equation Modeling (SEM) analysis can be performed based on the adequate number of responses collected using structured questionnaire. More qualitative techniques like ELECTRE, TOPSIS, etc. can be used to establish the strength of relationship among the KPIs and ranking them to focus on the few critical KPIs.

Practical implications

The proposed modeling could empower various governmental and non-governmental regulatory bodies in formulation of policies to effectively tackle the problem related to product recovery systems. This study has strong practical implications, for both practitioners as well as academicians. The practitioners need to concentrate on identified KPIs more cautiously during IFPRS implementation in their organizations and the top management could formulate strategy for implementing these KPIs obtained.

Originality value

There is a lack of studies related to the modeling of KPIs of IFPRS. As vast information is essential about the products returned during different product recovery stages, this study bridges the gap in literature by providing a framework for KPIs related to IFPRS. It is expected that the results originated will assist the experts to relevantly identify the significant and drop insignificant KPI for successful product recovery implementation and performance improvement of IFPRS.

Details

Journal of Modelling in Management, vol. 15 no. 3
Type: Research Article
ISSN: 1746-5664

Keywords

Abstract

Details

The Impacts of Monetary Policy in the 21st Century: Perspectives from Emerging Economies
Type: Book
ISBN: 978-1-78973-319-8

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