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Article
Publication date: 1 April 2003

Sanjay K. Bhattacharyya and Zillur Rahman

Some strategy authors suggest that in an emerging market a local conglomerate enjoys certain potential advantages over a smaller focused firm. It can leverage its corporate image…

2684

Abstract

Some strategy authors suggest that in an emerging market a local conglomerate enjoys certain potential advantages over a smaller focused firm. It can leverage its corporate image to build customer loyalty and raise funds from the capital market. It can mobilise resources from within the group companies to invest in enhancing the corporate image, in developing its own management‐training centre, and for liaison with the government and bureaucracy. It can also avoid retrenchment of surplus employees by transferring them across the group companies. The authors, however, contend that many of the advantages mentioned above cannot be realised in practice and the top management finds it difficult to effectively manage a large conglomerate. They suggest a model, which will help a conglomerate decide which businesses to retain or divest. They also highlight certain strategies adopted by Indian firms to combat foreign competition in the domestic market.

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European Business Review, vol. 15 no. 2
Type: Research Article
ISSN: 0955-534X

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Book part
Publication date: 3 February 2025

Chandrima Chakraborty and Dipyaman Pal

Abstract

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Performance Analysis of the Indian Pharmaceutical Industry: A Global Outlook
Type: Book
ISBN: 978-1-83797-743-7

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Book part
Publication date: 21 November 2024

Vartika Bisht, Priya, Sanjay Taneja and Amar Johri

Purpose: Health insurance and big data analytics have become increasingly intertwined in recent years, offering both opportunities and challenges for the industry. Thus, the…

Abstract

Purpose: Health insurance and big data analytics have become increasingly intertwined in recent years, offering both opportunities and challenges for the industry. Thus, the primary aim is to utilize bibliometric analysis for comprehensive literature reviews in health insurance and big data analytics.

Design/methodology/approach: Scopus, chosen for its broad coverage, is utilized to extract 493 manuscripts meeting the inclusion criteria set (year and language) for a 25-year period. The tools employed in the study include VOSViewer and Biblioshiny package (R-programming).

Findings: An emerging trend has been observed in the field of health insurance and big data analytics for 25 years. The US has been observed as the topmost leading country to contribute to the subject under study. The Ministry of Science and Technology of Taiwan is at the top first rank of top leading institutions contributing 20 documents to the field of health insurance and big data analytics. Moreover, thematic mapping and word cloud is done to find the most relevant keywords in the study. Furthermore, co-occurrence analysis revealed the relationship of keywords for health insurance and big data mining.

Implications: The implications of the research extend beyond academic insights and have practical implications for stakeholders involved in healthcare policy, practice, and research.

Originality/Value/Implications: The novelty in the manuscript has been brought in by focusing on one of the many types of insurance, i.e., health. Moreover, big data analytics in relation to health insurance for such a range of time period serves as the original presentation of the work with regards to the matter under study.

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Data Alchemy in the Insurance Industry
Type: Book
ISBN: 978-1-83608-583-6

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Article
Publication date: 1 November 2021

Vishakha Pareek, Santanu Chaudhury and Sanjay Singh

The electronic nose is an array of chemical or gas sensors and associated with a pattern-recognition framework competent in identifying and classifying odorant or non-odorant and…

399

Abstract

Purpose

The electronic nose is an array of chemical or gas sensors and associated with a pattern-recognition framework competent in identifying and classifying odorant or non-odorant and simple or complex gases. Despite more than 30 years of research, the robust e-nose device is still limited. Most of the challenges towards reliable e-nose devices are associated with the non-stationary environment and non-stationary sensor behaviour. Data distribution of sensor array response evolves with time, referred to as non-stationarity. The purpose of this paper is to provide a comprehensive introduction to challenges related to non-stationarity in e-nose design and to review the existing literature from an application, system and algorithm perspective to provide an integrated and practical view.

Design/methodology/approach

The authors discuss the non-stationary data in general and the challenges related to the non-stationarity environment in e-nose design or non-stationary sensor behaviour. The challenges are categorised and discussed with the perspective of learning with data obtained from the sensor systems. Later, the e-nose technology is reviewed with the system, application and algorithmic point of view to discuss the current status.

Findings

The discussed challenges in e-nose design will be beneficial for researchers, as well as practitioners as it presents a comprehensive view on multiple aspects of non-stationary learning, system, algorithms and applications for e-nose. The paper presents a review of the pattern-recognition techniques, public data sets that are commonly referred to as olfactory research. Generic techniques for learning in the non-stationary environment are also presented. The authors discuss the future direction of research and major open problems related to handling non-stationarity in e-nose design.

Originality/value

The authors first time review the existing literature related to learning with e-nose in a non-stationary environment and existing generic pattern-recognition algorithms for learning in the non-stationary environment to bridge the gap between these two. The authors also present details of publicly available sensor array data sets, which will benefit the upcoming researchers in this field. The authors further emphasise several open problems and future directions, which should be considered to provide efficient solutions that can handle non-stationarity to make e-nose the next everyday device.

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Book part
Publication date: 13 December 2023

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Abstract

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Fostering Sustainable Development in the Age of Technologies
Type: Book
ISBN: 978-1-83753-060-1

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Article
Publication date: 8 February 2022

Suman Bishnoi, Sanjay Yadav, Diwakar Sharma and Ashok Kumar Pathera

This paper aims to study the effect of orange peel and moringa leaves extracts on microbiological safety, sensory quality, lipid oxidation and color properties of chicken sausages…

156

Abstract

Purpose

This paper aims to study the effect of orange peel and moringa leaves extracts on microbiological safety, sensory quality, lipid oxidation and color properties of chicken sausages under frozen storage.

Design/methodology/approach

Chicken sausages were prepared by using orange peel, moringa leaves extracts and butylated hydroxytoluene (BHT). The sausages were stored in a freezer at −18°C. Samples were taken at a regular interval of 20 days from the day of production to spoilage of sausages and analyzed for microbiological safety, sensory quality, lipid oxidation and color properties.

Findings

In comparison to the control sausage, sausages having BHT, orange peel and moringa leaves extract had a significantly (p < 0.05) lower bacterial, yeast and mold count. All the sausages were microbiologically safe for consumption till the 100th day, and the results of the 120th day crossed the permissible limits. Sensory acceptability scores of sausages were good (>6) throughout the storage period. The color values of sausages were not affected by the addition of orange peel and moringa leaves extract. The extent of lipid oxidation increased during storage, and sausages with BHT, orange peel and moringa leaves extract had significantly (p < 0.05) lower values of thiobarbituric acid reactive substances and free fatty acids (FFAs) toward the end of the storage period.

Originality/value

The observations of this paper endorse the use of orange peel and moringa leaves extract in meat products formulation for acceptable storage stability under frozen conditions.

Details

Nutrition & Food Science , vol. 52 no. 7
Type: Research Article
ISSN: 0034-6659

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Article
Publication date: 9 February 2015

Amy M Gregory, H.G. Parsa, Khaldoon Nusair, David J Kwun and Sanjay Putrevu

This research aims to propose a model that may be used to classify product attributes according to their effect on customer satisfaction within the services industry. It also aims…

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Abstract

Purpose

This research aims to propose a model that may be used to classify product attributes according to their effect on customer satisfaction within the services industry. It also aims to apply the model to vacation ownership products and to explore attributes related to both the purchase and use of the product: an owned luxury product.

Design/methodology/approach

Data from 3,231 vacation ownership customers of multiple international companies were analyzed using a modified Kano model and related questionnaire.

Findings

This study reveals the effect that specific product attributes have on customer satisfaction. It addresses previously unexplored attributes (i.e. sales techniques and hotel program benefits), confirms others previously identified with customer satisfaction (i.e. amenities, exchange benefits, hotel affiliation and vacation counselors) and reveals those that had no incremental effect on overall satisfaction (i.e. financing and activities).

Practical implications

Results of this study suggest that attributes have varying effects on customers’ overall satisfaction and submit that companies may wish to focus their efforts in particular areas to maintain or improve overall satisfaction. Doing so may create opportunities for companies to increase satisfaction, operate more efficiently or distinguish themselves within the marketplace.

Originality/value

This research is the first comprehensive examination of customer satisfaction related to the purchase and consumption of an owned luxury vacation product, reveals misconceptions related to certain product attributes, uncovers previously unidentified attributes, provides a model for examining customer satisfaction that could be applied across lodging products and provides a benchmark for future studies.

Details

International Journal of Contemporary Hospitality Management, vol. 27 no. 1
Type: Research Article
ISSN: 0959-6119

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Article
Publication date: 22 December 2021

C. Ganeshkumar, Sanjay Kumar Jena, A. Sivakumar and T. Nambirajan

This paper is a literature review on use of artificial intelligence (AI) among agricultural value chain (AVC) actors, and it brings out gaps in research in this area and provides…

1778

Abstract

Purpose

This paper is a literature review on use of artificial intelligence (AI) among agricultural value chain (AVC) actors, and it brings out gaps in research in this area and provides directions for future research.

Design/methodology/approach

The authors systematically collected literature from several databases covering 25 years (1994–2020). They classified literature based on AVC actors present in different stages of AVC. The literature was analysed using Nvivo 12 (qualitative software) for descriptive and content analysis.

Findings

Fifty percent of the reviewed studies were empirical, and 35% were conceptual. The review showed that AI adoption in AVC could increase agriculture income, enhance competitiveness and reduce cost. Among the AVC stages, AI research related to agricultural processing and consumer sector was very low compared to input, production and quality testing. Most AVC actors widely used deep learning algorithm of artificial neural networks in various aspects such as water resource management, yield prediction, price/demand forecasting, energy efficiency, optimalization of fertilizer/pesticide usage, crop planning, personalized advisement and predicting consumer behaviour.

Research limitations/implications

The authors have considered only AI in the AVC, AI use in any other sector and not related to value chain actors were not included in the study.

Originality/value

Earlier studies focussed on AI use in specific areas and actors in the AVC such as inputs, farming, processing, distribution and so on. There were no studies focussed on the entire AVC and the use of AI. This review has filled that literature gap.

Details

Journal of Agribusiness in Developing and Emerging Economies, vol. 13 no. 3
Type: Research Article
ISSN: 2044-0839

Keywords

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Article
Publication date: 2 October 2018

Alexander M. Soley, Joshua E. Siegel, Dajiang Suo and Sanjay E. Sarma

The purpose of this paper is to develop a model to estimate the value of information generated by and stored within vehicles to help people, businesses and researchers.

478

Abstract

Purpose

The purpose of this paper is to develop a model to estimate the value of information generated by and stored within vehicles to help people, businesses and researchers.

Design/methodology/approach

The authors provide a taxonomy for data within connected vehicles, as well as for actors that value such data. The authors create a monetary value model for different data generation scenarios from the perspective of multiple actors.

Findings

Actors value data differently depending on whether the information is kept within the vehicle or on peripheral devices. The model shows the US connected vehicle data market is worth between US$11.6bn and US$92.6bn.

Research limitations/implications

This model estimates the value of vehicle data, but a lack of academic references for individual inputs makes finding reliable inputs difficult. The model performance is limited by the accuracy of the authors’ assumptions.

Practical implications

The proposed model demonstrates that connected vehicle data has higher value than people and companies are aware of, and therefore we must secure these data and establish comprehensive rules pertaining to data ownership and stewardship.

Social implications

Estimating the value of data of vehicle data will help companies understand the importance of responsible data stewardship, as well as drive individuals to become more responsible digital citizens.

Originality/value

This is the first paper to propose a model for computing the monetary value of connected vehicle data, as well as the first paper to provide an estimate of this value.

Details

Digital Policy, Regulation and Governance, vol. 20 no. 6
Type: Research Article
ISSN: 2398-5038

Keywords

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Article
Publication date: 29 November 2022

Patricia Ordóñez de Pablos

335

Abstract

Details

Journal of Science and Technology Policy Management, vol. 13 no. 4
Type: Research Article
ISSN: 2053-4620

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