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Article
Publication date: 22 June 2021

Anil Kumar Budati, Ganesh Snv, Kumar Cherukupalli, Anil Kumar P. and Venkata Krishna Moorthy T.

The privacy of the information is a major challenge in the communication process. In the present modern generation, the cryptography plays a vital role in providing security for…

180

Abstract

Purpose

The privacy of the information is a major challenge in the communication process. In the present modern generation, the cryptography plays a vital role in providing security for data, such as text, images and video while transmitting from source to destination through internet or intranet. The Rivest-Shamir-Adleman (RSA) is an asymmetric key cryptographic system, where the security of the method works on the strength of the key.

Design/methodology/approach

In an asymmetric key crypto system, a pair of keys is generated one public key for encryption and one private key for decryption. The major challenge of implementing the RSA is the power function which becomes tedious and time consuming as the exponential value increases. The Chinese remainder theorem proves to be the best for data encryption when it comes to execution time of the algorithm. The proposed novel RSA algorithm with lookup table (LUT) is an extension to the Chinese remainder algorithm, which works better for image and video in terms of time complexity.

Findings

This paper presents a LUT approach for implementing the RSA with a minimal processing time. The proposed algorithm was compared with the standard algorithms like, Chinese remainder theorem, binary approach and squared multiplication approach. As the size of the exponent value increases, the proposed method shows better performance compared to other standard methods.

Originality/value

This paper presents a LUT approach for implementing the RSA with a minimal processing time. The proposed algorithm was compared with the standard algorithms like, Chinese remainder theorem, binary approach and squared multiplication approach. As the size of the exponent value increases, the proposed method shows better performance compared to other standard methods.

Details

Circuit World, vol. 47 no. 3
Type: Research Article
ISSN: 0305-6120

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Article
Publication date: 8 December 2022

B.V. Binoy, M.A. Naseer and P.P. Anil Kumar

Land value varies at a micro level depending on the location’s economic, geographical and political determinants. The purpose of this study is to present a comprehensive…

155

Abstract

Purpose

Land value varies at a micro level depending on the location’s economic, geographical and political determinants. The purpose of this study is to present a comprehensive assessment of the determinants affecting land value in the Indian city of Thiruvananthapuram in the state of Kerala.

Design/methodology/approach

The global influence of the identified 20 explanatory variables on land value is measured using the traditional hedonic price modeling approach. The localized spatial variations of the influencing parameters are examined using the non-parametric regression method, geographically weighted regression. This study used advertised land value prices collected from Web sources and screened through field surveys.

Findings

Global regression results indicate that access to transportation facilities, commercial establishments, crime sources, wetland classification and disaster history has the strongest influence on land value in the study area. Local regression results demonstrate that the factors influencing land value are not stationary in the study area. Most variables have a different influence in Kazhakootam and the residential areas than in the central business district region.

Originality/value

This study confirms findings from previous studies and provides additional evidence in the spatial dynamics of land value creation. It is to be noted that advanced modeling approaches used in the research have not received much attention in Indian property valuation studies. The outcomes of this study have important implications for the property value fixation of urban Kerala. The regional variation of land value within an urban agglomeration shows the need for a localized method for land value calculation.

Details

International Journal of Housing Markets and Analysis, vol. 17 no. 3
Type: Research Article
ISSN: 1753-8270

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Article
Publication date: 17 October 2022

B.V. Binoy, M.A. Naseer and P.P. Anil Kumar

Property tax continues to be the most viable, steady, progressive and genuine source of income for an independent local government administration in India. Kerala has one of the…

115

Abstract

Purpose

Property tax continues to be the most viable, steady, progressive and genuine source of income for an independent local government administration in India. Kerala has one of the most complex cadastral and property taxation systems in the country. In 2008, the Kerala government introduced “Fair value of land” for all landed property in Kerala, which is calculated per Are and notified by the Government of Kerala on the website. This paper presents the outcome of the spatial mapping of the fair value of land in Kerala and its comparison with actual land value collected through advertisements and surveys.

Design/methodology/approach

The methodology used in this study analyzed the existing fair value system of land valuation in Kerala and identified its drawbacks. Fair value is integrated into cadastral data in geographical information system (GIS) and spatially analyzed to identify the discrepancies in fair value fixation. The actual land value for 837 locations is collected from online advertisements and verified through a field survey. A paired t-test analysis follows this to compare the fair value and actual land value of the study area.

Findings

The disparity between the original land value and the registration value in Kerala has resulted in the undervaluation of land resources by the government. The fair value fixed by the government is significantly lower than the actual land value based on the statistical comparison results. It is observed that the actual land value is multiple times higher than the government fixed land value. Also, the spatial distribution of the village level fair value shows the randomness in fixation and abnormalities existing at numerous locations.

Practical implications

The results indicate that the traditional comparison method used for fair value calculation by the Kerala government is not suitable in Indian scenarios due to the unreliability of registration values. The study thus points to the importance of developing a scientific method for determining the land value that would consider various spatially influencing parameters.

Originality/value

The current study provided an in-depth analysis of the land valuation system of the Kerala government. The strengths and weaknesses of the existing system are analyzed through statistical methods.

Details

Property Management, vol. 41 no. 2
Type: Research Article
ISSN: 0263-7472

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Article
Publication date: 8 February 2021

B .V Binoy, M. A Naseer, P.P Anil Kumar and Nina Lazar

Real estate valuation studies gained popularity with the availability of large-scale property transaction data in the latter part of the twentieth century. Hedonic price modeling…

742

Abstract

Purpose

Real estate valuation studies gained popularity with the availability of large-scale property transaction data in the latter part of the twentieth century. Hedonic price modeling (HPM) was the most popular method in the initial years until it was taken over by advanced modeling methods in the twenty-first century. Even though there exist a few literature reviews on this topic, no comprehensive bibliometric analysis is conducted in this area. In view of gaining a better understanding of the dynamics of property valuation studies, this paper aims to conduct a bibliometric analysis.

Design/methodology/approach

A comprehensive search in the Scopus database, followed by detailed screening resulted in 1,400 articles. The identified research articles spanning over five decades (1964–2019) are analyzed using the open-source R package “bibliometrix.”

Findings

The study found the USA to be the most productive country in various aspects, such as number of publications, number of authors and publication hotspots. The findings also demonstrate assessments on the publication trends, journals, citations, keywords, co-citation and collaboration networks. It was observed that there exists an upsurge in the number of publications after the year 2000 owing to improved data availability and better modeling techniques.

Research limitations/implications

This study is significant in understanding the major research areas and modeling techniques used in property valuation. Future studies can incorporate multiple database sources and include more articles.

Originality/value

The current study is one of the first bibliometric studies on property valuation. Previous studies have not explored the possibilities of geographic information system in bibliometric research. Spatial mapping and analysis of publications provide a geographical perspective of valuation research.

Details

International Journal of Housing Markets and Analysis, vol. 15 no. 1
Type: Research Article
ISSN: 1753-8270

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Article
Publication date: 21 December 2022

Mohita Maggon

Journal of Corporate Real Estate (JCRE) is an international journal of repute. JCRE is an interdisciplinary journal focusing on corporate real estate management and caters to the…

275

Abstract

Purpose

Journal of Corporate Real Estate (JCRE) is an international journal of repute. JCRE is an interdisciplinary journal focusing on corporate real estate management and caters to the needs of real estate owners and end-users. The journal's scope includes private and public sector corporate real estate owned and used by businesses to run their operations. This paper aims to analyze the journal's impact using bibliometric analysis from 1998 to 2017 on 380 publications.

Design/methodology/approach

The network analysis is performed using VOSviewer software and Biblioshiny R studio. The mapping presents citation structures, coauthorship patterns, bibliographic coupling and other network analyses.

Findings

The results show that the journal is growing in terms of citations and impact. The findings document various mapping criteria and their summaries. Seven major clusters are identified to delineate the underlying themes of publications in JCRE.

Originality/value

To the best of the authors’ knowledge, this paper offers the original and first bibliometric analysis of the journal’s impact over the first two decades. The findings are relevant for researchers and real estate stakeholders.

Details

Journal of Corporate Real Estate , vol. 25 no. 1
Type: Research Article
ISSN: 1463-001X

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Article
Publication date: 31 July 2023

Chetanya Singh, Manoj Kumar Dash, Rajendra Sahu and Anil Kumar

Artificial intelligence (AI) is increasingly applied by businesses to optimize their processes and decision-making, develop effective and efficient strategies, and positively…

1191

Abstract

Purpose

Artificial intelligence (AI) is increasingly applied by businesses to optimize their processes and decision-making, develop effective and efficient strategies, and positively influence customer behaviors. Businesses use AI to generate behaviors such as customer retention (CR). The existing literature on “AI and CR” is vastly scattered. The paper aims to review the present research on AI in CR systematically and suggest future research directions to further develop the field.

Design/methodology/approach

The Scopus database is used to collect the data for systematic review and bibliometric analysis using the VOSviewer tool. The paper performs the following analysis: (1) year-wise publications and citations, (2) co-authorship analysis of authors, countries, and affiliations, (3) citation analysis of articles and journals, (4) co-occurrence visualization of binding terms, and (5) bibliographic coupling of articles.

Findings

Five research themes are identified, namely, (1) AI and customer churn prediction in CR, (2) AI and customer service experience in CR, (3) AI and customer sentiment analysis in CR, (4) AI and customer (big data) analytics in CR, and (5) AI privacy and ethical concerns in CR. Based on the research themes, fifteen future research objectives and a future research framework are suggested.

Research limitations/implications

The paper has important implications for researchers and managers as it reveals vital insights into the latest trends and paths in AI-CR research and practices. It focuses on privacy and ethical issues of AI; hence, it will help the government develop policies for sustainable AI adoption for CR.

Originality/value

To the author's best knowledge, this paper is the first attempt to comprehensively review the existing research on “AI and CR” using bibliometric analysis.

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Article
Publication date: 2 August 2019

Aswini Kumar Mishra, Anil Kumar and Abhishek Sinha

Though Indian economy since 1980s has expanded very rapidly, yet the benefits of growth remain very unequally distributed. The purpose of this paper is to provide new evidence…

670

Abstract

Purpose

Though Indian economy since 1980s has expanded very rapidly, yet the benefits of growth remain very unequally distributed. The purpose of this paper is to provide new evidence about the shape, intensity and decomposition of inequality change between 2005 and 2012. The authors find that Gini, as a measure of income inequality, has increased irrespective of geographic regions.

Design/methodology/approach

Based on a recent distribution analysis tool, “ABG,” the paper focuses on local inequality, and summarizes the shape of inequality in terms of three inequality parameters (α, β and γ) to examine how the income distributions have changed over time. Here, the central coefficient (α) measures inequality at the median level, with adjustment parameters at the top (β) and bottom (γ).

Findings

The results reveal that at the middle of distribution (α), there is almost the same inequality in both the periods, but the coefficients on the curvature parameters β and γ show that there is increasing inequality in the subsequent period. Finally, an analysis of decomposition of inequality change suggests that though income growth was progressive, however, this equalizing effect was more than offset by the disequalizing effect of income reranking.

Research limitations/implications

This paper shows how it can be possible both for “the poor” to fare badly relatively to “the rich” and for income growth to be pro-poor.

Practical implications

This paper stresses the significance of inequality reduction.

Social implications

Inequality reduction is very much imperative in ending poverty and boosting shared prosperity.

Originality/value

Perhaps, this research work is first of its kind to examine the shape and decomposition of change in income inequality in India in recent years.

Details

Journal of Economic Studies, vol. 46 no. 3
Type: Research Article
ISSN: 0144-3585

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Article
Publication date: 12 October 2020

Anil Kumar, Rohit Kumar Singh and Sachin Modgil

The objective of the study is to test a conceptual model based on the interrelation between data-driven supply chain quality management practices (DDSCQMP) and the performance of…

1898

Abstract

Purpose

The objective of the study is to test a conceptual model based on the interrelation between data-driven supply chain quality management practices (DDSCQMP) and the performance of organized retailing firms in India.

Design/methodology/approach

Based on a comprehensive review of literature, the dimensions of DDSCQMP concerning the Indian organized retail sector have been extracted. Considering the research objectives, the research data has been collected using a structured questionnaire from Indian retailers. Overall 133 questionnaires were responded successfully from retailers. The model was tested using structured equation modeling (SEM) through PLS 3.0.

Findings

The research findings confirm hypotheses and reveal the statistically significant relationship between DDSCQMP and retailers' performance at an aggregate level. However, the results of the individual-level analysis of DDSCQMP appear to vary from practice to practice. Among various DDSCQMP, “customer focus” with the highest beta (ß) value was found to have the greatest impact on performance followed by “employee relations”.

Originality/value

The study provides empirical justification for a structural model that identifies a positive and significant relationship between DDSCQMP and organizational performance within the context of organized retail sector of India.

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Case study
Publication date: 18 November 2013

Nakul Gupta, Radha R. Sharma and Rupali Pardasani

Entrepreneurship, internationalization, family-owned business management, strategic management.

Abstract

Subject area

Entrepreneurship, internationalization, family-owned business management, strategic management.

Study level/applicability

MBA/postgraduate management program courses on family business management. The case can be taught at the beginning of the course to acquaint students with the dynamics of family-owned businesses. MBA/postgraduate/undergraduate courses on entrepreneurship. It can be used in the middle of the course to highlight the challenges presented by an entrepreneur due to change in the business environment and macroeconomic scenario. MBA/postgraduate course on strategic management. It can be used at the beginning of the course to introduce strategies for managing and sustaining growth of a business. MBA/postgraduate course on organizational development. It can be used in the middle of the course to help students understand the importance of designing an optimal organizational structure for a family business.

Case overview

FragraAroma was an Indian fragrance company. Anil Gupta, the Founder and Managing Director of FragraAroma, and his sister Nisha were equal shareholders of the company. With changes in the Foreign Direct Investment Policy in 2013 in India, Anil and Nisha's husband Tarun had different expansion plans for FragraAroma. While Anil was planning to expand FragraAroma internationally, but his sister and her husband wanted diversification of the company's customer segment in the domestic market itself. The case is poised at the juncture, where Anil was facing a labyrinth of critical decisions. Would he go ahead with Tarun's expansion plan or stick to his plan of internationalization? Would his decision affect the harmony of the family? Was there a way that could enable him sailing his family and family business out of the doldrums?

Expected learning outcomes

This case is primarily about a family business and the dilemmas faced by the owner of that family business. The case captures the challenges faced by a family business in sustaining growth and competitiveness. The case can be used to understand how decisions are taken in a family-owned business. To understand the challenges faced by a family-owned business while developing and implementing its growth strategies. To understand the opportunities and challenges presented to a family-owned businesses when macroeconomic scenarios change. To understand the spillover effects of business decisions on family relations in a typical family-owned business setup.

Supplementary materials

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

Details

Emerald Emerging Markets Case Studies, vol. 3 no. 7
Type: Case Study
ISSN: 2045-0621

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Article
Publication date: 20 June 2022

Luis Alejandro Gólcher-Barguil, Simon Peter Nadeem, Jose Arturo Garza-Reyes, Ashutosh Samadhiya and Anil Kumar

Equipment performance helps the manufacturing sector achieve operational and financial improvements despite process variations. However, the literature lacks a clear index or…

184

Abstract

Purpose

Equipment performance helps the manufacturing sector achieve operational and financial improvements despite process variations. However, the literature lacks a clear index or metric to quantify the monetary advantages of enhanced equipment performance. Thus, the paper presents two innovative monetary performance measures to estimate the financial advantages of enhancing equipment performance by isolating the effect of manufacturing fluctuations such as product mix price, direct and indirect characteristics, and cost changes.

Design/methodology/approach

The research provides two measures, ISB (Improvement Saving Benefits) and IEB (Improvement Earning Benefits), to assess equipment performance improvements. The effectiveness of the metrics is validated through a three stages approach, namely (1) experts' binary opinion, (2) sample, and (3) actual cases. The relevant data may be collected through accounting systems, purpose-built software, or electronic spreadsheets.

Findings

The findings suggest that both measures provide an effective cost–benefit analysis of equipment performance enhancement. The measure ISB indicates savings from performance increases when equipment capacity is greater than product demand. IEB is utilised when equipment capacity is less than product demand. Both measurements may replace the unitary cost variation, which is subject to manufacturing changes.

Practical implications

Manufacturing businesses may utilise the ISB and IEB metrics to conduct a systematic analysis of equipment performance and to appreciate the financial savings perspective in order to emphasise profitability in the short and long term.

Originality/value

The study introduces two novel financial equipment performance improvement indicators that distinguish the effects of manufacturing variations. Manufacturing variations cause cost advantages from operational improvements to be misrepresented. There is currently no approach for manufacturing organisations to calculate the financial advantages of enhancing equipment performance while isolating production irregularities.

Details

Benchmarking: An International Journal, vol. 30 no. 7
Type: Research Article
ISSN: 1463-5771

Keywords

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