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Featured researches published by Deepa Mishra.


Industrial Management and Data Systems | 2016

Vision, applications and future challenges of Internet of Things: A bibliometric study of the recent literature

Deepa Mishra; Angappa Gunasekaran; Stephen J. Childe; Thanos Papadopoulos; Rameshwar Dubey; Samuel Fosso Wamba

Purpose – The emergent field of Internet of Things (IoT) has been evolving rapidly with a geometric growth in the number of academic publications in this field. The purpose of this paper is to review the literature of IoT in past 16 years using rigorous bibliometric and network analysis tools, offering at the same time future directions for the IoT research community and implications for managers and decision makers. Design/methodology/approach – The authors adopted the techniques of bibliometric and network analysis. The paper reviewed the articles published on IoT from 2000 to 2015. Findings – This study identifies top contributing authors; key research topics related to the field; the most influential works based on citations and PageRank; and established and emerging research clusters. Scholars are encouraged to further explore this topic. Research limitations/implications – This study focusses only on vision and applications of IoT. Scholars may explore various other aspects of this area of research....


Annals of Operations Research | 2018

Big Data and supply chain management: a review and bibliometric analysis

Deepa Mishra; Angappa Gunasekaran; Thanos Papadopoulos; Stephen J. Childe

As Big Data has undergone a transition from being an emerging topic to a growing research area, it has become necessary to classify the different types of research and examine the general trends of this research area. This should allow the potential research areas that for future investigation to be identified. This paper reviews the literature on ‘Big Data and supply chain management (SCM)’, dating back to 2006 and provides a thorough insight into the field by using the techniques of bibliometric and network analyses. We evaluate 286 articles published in the past 10 years and identify the top contributing authors, countries and key research topics. Furthermore, we obtain and compare the most influential works based on citations and PageRank. Finally, we identify and propose six research clusters in which scholars could be encouraged to expand Big Data research in SCM. We contribute to the literature on Big Data by discussing the challenges of current research, but more importantly, by identifying and proposing these six research clusters and future research directions. Finally, we offer to managers different schools of thought to enable them to harness the benefits from using Big Data and analytics for SCM in their everyday work.


Business Process Management Journal | 2017

A bibliographic study on big data: concepts, trends and challenges

Deepa Mishra; Zongwei Luo; Shan Jiang; Thanos Papadopoulos; Rameshwar Dubey

The purpose of paper is twofold. First, it provides a consolidated overview of the existing literature on “big data” and second, it presents the current trends and opens up various future directions for researchers who wish to explore and contribute in this rapidly evolving field.,To achieve the objective of this study, the bibliographic and network techniques of citation and co-citation analysis was adopted. This analysis involved an assessment of 57 articles published over a period of five years (2011-2015) in ten selected journals.,The findings reveal that the number of articles devoted to the study of “big data” has increased rapidly in recent years. Moreover, the study identifies some of the most influential articles of this area. Finally, the paper highlights the new trends and discusses the challenges associated with big data.,This study focusses only on big data concepts, trends, and challenges and excludes research on its analytics. Thus, researchers may explore and extend this area of research.,To the knowledge of the authors, this is the first study to review the literature on big data by using citation and co-citation analysis.


Business Process Management Journal | 2017

Big data integration with business processes: a literature review

Samuel Fosso Wamba; Deepa Mishra

Purpose The purpose of this paper is to improve the understanding of the integration of business process management (BPM), business process re-engineering (BPR) and business process innovation (BPI) with big data. It focusses on synthesizing research published in the period 2006-2016 to establish both what the authors know and do not know about this topic, identifying areas for future research. Design/methodology/approach The research is based on a review of 49 published papers on big data, BPM, BPR and BPI in the top journals in the field 2006-2016. Findings In this paper, the authors have identified the most influential works based on citations and PageRank methods. Through network analysis the authors identify four major clusters that provide potential opportunities for future investigation. Practical implications It is important for practitioners to be aware of the benefits of big data, BPM, BPR and BPI integration. This paper provides valuable insights for practitioners. Originality/value This paper is based on a comprehensive literature review, which gives big data researchers the opportunity to understand business processes in depth. In addition, highlighting many gaps in the current literature and developing an agenda for future research, will save time and effort for readers looking to research topics within big data and business processes.


International Journal of Quality & Reliability Management | 2018

Six Sigma in healthcare: a systematic review of the literature

Jiju Antony; Pruksathorn Palsuk; Sandeep Gupta; Deepa Mishra; Paul Barach

The purpose of this paper is to illustrate the systematic role played by Six Sigma methodology in improving the quality of healthcare. The literature review identifies the relevant opportunities for successful introduction and development of Six Sigma approach in healthcare sector.,A systematic methodology to identifying literature on Six Sigma in healthcare is presented. Web of Science, Medline, Emerald Insight, ASQ and ProQuest databases (1998-2016) were searched, and 68 papers of fair methodological quality were identified.,The findings of the systematic review reveal a growing interest in research on Six Sigma adoption in healthcare. The findings indicate that Six Sigma applications in healthcare have been focused on the entire hospital with no real focus on a particular department or function. The key findings on benefits, success factors, challenges and common tools of Six Sigma from the existing literature are also presented in the paper.,The papers included in the systematic review were peer-reviewed papers available in English. Due to these limitations, relevant papers may have been excluded. Moreover, the authors have excluded all conference and white papers for their inclusion in this study.,This paper can serve as a guide on how Six Sigma approach can be applied to improve the quality of healthcare. The authors also believe that this is possibly the most comprehensive systematic literature review on the topic and will set the foundation for various research avenues based on the key findings of this study.


Total Quality Management & Business Excellence | 2017

Role of decoupling point in examining manufacturing flexibility: an empirical study for different business strategies

Deepa Mishra; Rrk Sharma; Angappa Gunasekaran; Thanos Papadopoulos; Rameshwar Dubey

Manufacturing flexibility has been the subject of scholarly debate for decades. The literature investigated the relationship between manufacturing flexibility (MF) and business strategy realisation. However, scholars are yet to establish the relationship between these two constructs as mediated by the position of decoupling point (DP), which plays a key role in the design and management of supply chains. To address this gap, this paper develops a theoretical model grounded in strategic choice theory, which investigates the direct relation between MF and the position of DP, as well as the indirect relation between MF and business strategy as mediated by the position of DP. Based on a sample of 257 responses from a survey with Indian organisations, we test the model using structural equation modelling. The findings reveal that the level of MF varies with the position of DP within supply chains. This position of DP differs in different types of business strategies and accordingly affects their MF.


International Journal of Process Management and Benchmarking | 2016

Sustainable consumption and production: need, challenges and further research directions

K.T. Shibin; Angappa Gunasekaran; Thanos Papadopoulos; Rameshwar Dubey; Deepa Mishra

This article reviews the literature and identifies challenges, research gaps, and further research directions on sustainable consumption and production (SCP). Several research gaps in the area of SCP are identified that includes: 1) there are very few research works analysing the mismatch between the demand and supply of sustainable products in the market, with the increasing environmental awareness of consumers; 2) despite the growing prominence of emerging nations like BRICS, research in the context of emerging markets in the area of SCP is very limited; 3) researchers on SCP do not seem to embrace mix-methodology; 4) most of the researchers mainly focus on policy reviews or factors behind customer buying patterns or on the use of cleaner energy. There is a further pressing need to explore the soft dimensions and psychological factors behind the acceptance level of policies and sustainable life style. Finally, we outline further research directions.


Journal of Organizational Change Management | 2018

Outsourcing decision: do strategy and structure really matter?

Deepa Mishra; Sameer Kumar; Rrk Sharma; Rameshwar Dubey

Although there is a growing body of literature on human resource (HR) outsourcing, there are still unresolved issues regarding the level of outsourcing HR activities initiated in firms having different strategies and structures. This is relevant to examine because firms with different orientations (strategy and structure) cannot do HR outsourcing at the same level. The paper aims to discuss these issues.,A theoretical framework is developed and empirically validated using survey data from 184 manufacturing firms in India. The analysis involved testing a number of hypotheses through statistical techniques using the confirmatory factor analysis and structural equation modeling.,The results indicate that firms having prospector orientation are more likely to outsource non-core HR activities as compared to firms having analyzer and defender orientation strategies, in that order. However, in comparison to non-core HR activities, core HR activities are less likely to be outsourced by firms with different strategic orientations (prospector, analyser, and defender).,This research study underscores the linkage between HR outsourcing and strategy and structure of a firm by developing a theoretical framework.


Benchmarking: An International Journal | 2018

Supply chain performance measures and metrics: a bibliometric study

Deepa Mishra; Angappa Gunasekaran; Thanos Papadopoulos; Rameshwar Dubey

Purpose The purpose of this study is to review the existing literature on supply chain performance measures and metrics (PMMs). It provides a critical evaluation of 234 articles published in past 24 years. Design/methodology/approach The paper examines the studies published from 1991 to 2014 by adopting the bibliometric technique of citation and co-citation analysis. Findings The analysis of the results indicate that the number of articles on supply chain PMMs is increasing at its fastest pace in the past few years. Furthermore, the study identifies some of the most influential articles on performance measurement and metrics. Finally, it concludes that there has been a transition from traditional to more sophisticated performance measurement system. Research limitations/implications This study focuses only on supply chain performance measurement and metrics and excludes research on performance management and control. Thus, researchers may explore and extend this area of research. Originality/value To the ...


Sustainable Production and Consumption | 2017

Green supply chain performance measures: A review and bibliometric analysis

Deepa Mishra; Angappa Gunasekaran; Thanos Papadopoulos; Benjamin T. Hazen

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Rameshwar Dubey

Symbiosis International University

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Rrk Sharma

Indian Institute of Technology Kanpur

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Jiju Antony

Heriot-Watt University

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K.T. Shibin

Symbiosis International University

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