Rajendra Sahu - Academia.edu (original) (raw)

Papers by Rajendra Sahu

Kybernetes

PurposeWith the changing times, the role of social media has increased manifold. It acts as one o... more PurposeWith the changing times, the role of social media has increased manifold. It acts as one of the platforms for disseminating information to the public faster. Social media enables us to focus on widespread ways of reaching the target audience. The principal motto of this research study is to identify the role of social media in public health development with a systematic review of literature in terms of its practice, assistance and application in future areas of public health measures.Design/methodology/approachThe research adopted a bibliometric analysis method to analyze the data from vast sources. The Scopus database was used to extract papers using appropriate keywords. Thus, the study tries to answer the following research questions: (1) to determine the key journals, authors and keywords in the public health development research; (2) to provide a theme-based cluster based on the keywords’ cooccurrences; and (3) to develop a research framework for the upcoming researchers...

Journal of Foodservice Business Research

This study examines the antecedents to repeat usage intentions (RUI) of online-to-offline (O2O) f... more This study examines the antecedents to repeat usage intentions (RUI) of online-to-offline (O2O) food delivery (OFD) services using an integrated framework of Uses and Gratification Theory (UGT) and...

Pedestrians are the most vulnerable and neglected road users in India. Vehicle crashes with pedes... more Pedestrians are the most vulnerable and neglected road users in India. Vehicle crashes with pedestrian are almost inevitable and cause injury or death to pedestrian. In India, annually, around one-third of road accidents involve pedestrians as victims. The pedestrian accident prone urban road stretch A.B. road in Indore city was selected as the study stretch. A statistical model for predicting the number of pedestrian accidents from Vijay Nagar to Bhawarkuan (A.B. Road) was developed using simple linear regression analysis on SPSS version 26 software. Several variables such as vehicular volume, pedestrian volume, length of cross-walk, width of crosswalk, width of footpath, lane width, pedestrian signals, pedestrian crossing sign board, number of lanes were found to considerably affect the pedestrian accidents.

Supply Chain Sustainability, 2020

ERP system implementations are complex undertakings and many of them are unsuccessful. It is ther... more ERP system implementations are complex undertakings and many of them are unsuccessful. It is therefore important to find out what the critical success factors, or CSFs, are, that drive ERP project success. In the present article we identified 17 CSFs from the literature survey and the responses of questionnaire from various targeted respondents which include ERP Vendors, ERP Customers and ERP implementing companies. Based on the ground theory of analysis these 17 CSFs are grouped with regard to Project Management (PM) knowledge areas of time, quality, cost, scope and expectation and analyzed the questionnaire responses using Grey Relational Analysis and Analytic Hierarchy Process (AHP) for finding the CSFs contribution to the success of ERP project management. We further analyzed the set of questionnaire responses for a group that is unable to reach a compromise to make a decision.

With the advent of Web 2.0, Customers now can freely share their experiences regarding their cons... more With the advent of Web 2.0, Customers now can freely share their experiences regarding their consumptions through electronic word of mouth (eWOM). Hence, Social media has become more vulnerable to transmitting both the good and bad message about product or services efficiently through an online platform. Moreover, the effect of social media has broad coverage of audience and information flows from one to many, therefore tourism managers, destination marketers are required to understand the growing impact of social media, which can be leveraged as a tool, for promoting their destinations. This paper discusses the theories behind the social media which creates the conceptual foundation for developing the models of social media marketing. Revisiting the theoretical foundation can help the researchers, policymakers and destination marketers to understand the social media in a better way for formulating the required model and research framework.

"This book analyses the current trends, key uses and broad service provider landscape for an... more "This book analyses the current trends, key uses and broad service provider landscape for analytics services, specifically for the service sector both offline and online Channels. It also analyzes the evolution in technology and people expertise that has enabled service providers to meet this growing need of service sector and make previously inconceivable tasks possible"--

The agriculture industry is facing several challenges like ever boostingfood demand due to increa... more The agriculture industry is facing several challenges like ever boostingfood demand due to increasing population, lack of natural resources, seasonal variation reduced productivity, food waste, poverty, complex supply chain, and huge market inefficiencies. To make agriculture sustainable and more productive, we need to adapt to the fourth industrial revolutionin the agriculture sector. Agriculture is at the cusp of the fourth industrial revolution because it uses advanced technologies such as the internet of things, 3D printing, blockchain technology, automation, big data analysis in the farming sector, and agriculture operations. Agriculture 4.0 connects the real and virtual world for better productivity and efficiency. This paper aims to find out the researches conducted in the agriculture sector in convergence with the industrial revolution 4.0 with the help of bibliometric analysis. It is a statistical method, which provides details about leading authors, journals, authors’ affi...

OPSEARCH, 2021

The Indian food processing sector (IFPS) has a tremendous capability for growth that can improve ... more The Indian food processing sector (IFPS) has a tremendous capability for growth that can improve the socioeconomic conditions of the rural masses. The performance of this sector is lagging behind substantially when compared to other developing nations. This study aims to identify growth barriers at different supply chain (SC) stages in the IFPS. Delphi analysis is performed to find out the barriers in the IFPS. Eighteen growth barriers have been found through expert opinion and extensive literature review spanning across three supply chain tiers: farm level, distribution level, and the consumer level. Further, to prioritize and identify the relative importance of various barriers, the analytic hierarchy process is employed. The results show that the top growth barriers in IFPS are-the lack of standardization and quality in the processed food, rain-dependent farming, and the high cost of cold chain facilities. The novel contribution of this study lies in capturing the intricacies of growth barriers in IFPS in an integrated manner across different SC tiers. Interactions between the identified drivers are important to both practitioners and researchers in understanding and driving process, quality, and technology improvements. Finally, the results also throw light on prioritized areas of concern that can be a game-changer for policymakers in India and other developing nations.

Journal of Quality Assurance in Hospitality & Tourism, 2020

This paper provides a systematic review of the Kano model in the tourism sector. The first resear... more This paper provides a systematic review of the Kano model in the tourism sector. The first research objective is to identify the fields under the tourism sector utilizing Kano's customer satisfaction model. The second goal is to study the application of the Kano model along with other methodologies for quality improvement in the tourism sector. 36 selected articles published in peer-reviewed journals between 2003 and 2018 were systematically reviewed. Non-linear quality constructs were identified from different tourism sectors such as accommodation, attraction, food services, outdoor recreation, transportation, and travel & trade. The empirical study was found to be the most popular approach; Taiwan published most of the research in the field, followed by the USA, UK, Saudi Arabia, and India. The study will enable managers, marketers, and policymakers to recognize customer needs, enhance service quality, and develop sustainable tourism growth strategies. The paper highlights the non-linearity of service quality attributes in the overall tourism sector-an attempt that has not been made hitherto.

International Journal of Services and Operations Management, 2020

This research tries to understand the needs and perception of inbound tourists visiting Indian he... more This research tries to understand the needs and perception of inbound tourists visiting Indian heritage sites through the application of Kano two-dimensional quality model. An attempt has been made to provide suggestions for improving service quality at cultural and historical heritage sites in India, which would further improve the tourist satisfaction, foreign tourist inflow, foreign exchange earnings and ranking of Indian tourism worldwide. The study indicated that out of 24 service quality items classified by the Kano model, one-dimensional and indifferent quality elements were large in numbers. This study suggested that heritage sites in India need to take care of crowd management, general cleanliness, upkeep of sites and further prioritises the other service attributes for providing better tour experiences to foreign tourists.

International Journal of Tourism Cities, 2020

Purpose This paper aims to empirically investigate the relationship between service quality (SQ) ... more Purpose This paper aims to empirically investigate the relationship between service quality (SQ) in heritage tourism, destination attachment (DA), and electronic word-of-mouth (eWOM) intention. Design/methodology/approach This study followed cross-sectional survey-based research design and surveyed 327 foreign tourists visiting the Golden Triangle, a heritage tourist circuit in India through mall interception method. The data were analysed using structural equation modelling. Findings The results reveal that heritage SQ has a significant positive effect on DA and eWOM intention and DA has a significant positive effect on eWOM intention. Originality/value The research findings make the theoretical and practical contribution in the domain, focussing explicitly on heritage tourism, in which such relation has not been studied yet, in sense of the foreign tourists.

International Journal of Business Information Systems, 2018

Purpose: The purpose of this current paper is to underline the importance of social media prospec... more Purpose: The purpose of this current paper is to underline the importance of social media prospects on enhancing purchase intentions, particularly in the automobile industry. The paper caters to highlighting how social media advertising, brand imaging and brand equity developed through social media can enhance purchase intentions. Design/Methodology/Approach: The paper caters to critical appraisal of literature available on the topics and the predictor and outcome variables studied in this regard. Automobile business is very lucrative and it has been noticed that such practices make a major impact in boosting buying intentions of customers. Findings: The finding of the paper is a development of a conceptual framework highlighting the potential of brand image, social media advertising and brand equity towards boosting purchase intentions. The paper has concluded with a framework for future scholars to energize on the concept of social media prospects for the achievement of organizational goals and objectives. Originality/Value: The current study is based mainly on critical review of the prominent literature and offer detailed understanding on the undertaken variables.

International Journal of Strategic Decision Sciences, 2018

This article describes how to improve the overall efficiency and effectiveness of the aviation se... more This article describes how to improve the overall efficiency and effectiveness of the aviation sector and also to source extra funding, the Government of India has paved the way for private investors through to a Public Private Partnership (PPP) model since the 1980s. This liberalization step in the Indian aviation market has minimized the institutional barriers which have hindered the freedom and flexibility of air transport operations among private investors. Now, competition within the aviation sector has become fiercer; the Airports Authority of India (AAI) and Public Private Partnership (PPP) in Indian airports are not only providing varied services, but also attracting consumers with new infrastructure and full modern facilities. The importance of this article is because after privatization, no studies have been conducted to examine the efficiency of Indian airports by using Data Envelopment Analysis (DEA). An output-oriented DEA model is employed to determine the efficiency s...

International Journal of Services and Operations Management, 2017

Supply chain management (SCM) is among the most frequently discussed topics in the corporate worl... more Supply chain management (SCM) is among the most frequently discussed topics in the corporate world today. Constant efforts are being made to develop value-added processes that deliver innovative, high-quality, low-cost products on time with greater responsiveness than ever before. Supply chain integration plays an important role to achieve the same. Unfortunately, the SCM concept has not been implemented in totality and there is a huge disconnect between supplier and customer. Many issues need to be addressed to integrate the supply chains of many industries. But the first step is the recognition of the present status of integration so that false notions are removed and fruitful work starts towards better integration and thus higher supply chain (SC) profitability. The present work tries to find out the critical parameters related to supply chain integration, which if addressed properly can provide improvements in supply chain integration effectiveness. Thereafter, the study after establishing the comprehensive list of information that flows through a generic SC and identifying their impact on the SC cost. Finally, a framework has been articulated to enable an organisation to identify its state of supply chain integration.

International Journal of Knowledge-based and Intelligent Engineering Systems, 2006

Microarray technique facilitates the generation of large amount of data useful for solving many b... more Microarray technique facilitates the generation of large amount of data useful for solving many biological problems. Analyzing this vast amount of data needs more effort due to its huge dimension. Usually, statistical methods like clustering are used to extract the common features among existing informal groups in a microarray data. But, these methods generally need dimensionality reduction and denoising the data for effective utilization and hence better exploratory techniques are required for visualization and analysis. The aim of this paper is to study the capability of transform oriented signal processing techniques especially wavelet transform and wavelet power spectrum to study characteristics of microarray data .The suitability of wavelet based technique has been demonstrated on such datasets and the behaviors of various samples as well as genes were studied. It was also found that the proposed technique is more efficient and requires no extensive preprocessing.

Proper estimation of beta coefficient is helpful not only in accurately evaluating systematic ris... more Proper estimation of beta coefficient is helpful not only in accurately evaluating systematic risk of firm, but in appropriately applying the coefficient to measure expected stock return. This paper uses 275 companies listed on NSE who had their initial public offerings (IPO) from year 2002 to 2007 as samples, and examines whether beta coefficients of sample firms vary with the length of estimated window and the timing of the window. Our empirical results suggest that moderate window should be used to evaluate the systematic risk of stocks. Meanwhile, the risk of stocks keeps on adjusting in several years after the firms' IPO, and it will probably underestimate the systematic risk of firms' stocks if beta coefficients are estimated based on the window near the IPO dates.

Microarray technique facilitates the generation of large amount of data useful for solving many b... more Microarray technique facilitates the generation of large amount of data useful for solving many biological problems. Analyzing this vast amount of data needs great efforts for analysis. Usually, statistical methods like clustering are used to extract the common features among existing informal groups in a microarray data. But, dimensionality reduction and denoising the data are required for effective utilization for these methods. Hence better exploratory techniques are required for quick and effective inferencing. The present paper studies the capability of transform oriented signal processing techniques especially wavelet transform and wavelet power spectrum for feature selection and classification in microarray data. The suitability of wavelet based technique has been demonstrated on such datasets and innovative methods based have been proposed. The methods have been validated for feature selection and classification of binary datasets. It was observed that the proposed technique is more efficient and also requires no extensive preprocessing of data.

BMC bioinformatics, Jan 5, 2006

Feature selection is an approach to overcome the 'curse of dimensionality' in complex res... more Feature selection is an approach to overcome the 'curse of dimensionality' in complex researches like disease classification using microarrays. Statistical methods are utilized more in this domain. Most of them do not fit for a wide range of datasets. The transform oriented signal processing domains are not probed much when other fields like image and video processing utilize them well. Wavelets, one of such techniques, have the potential to be utilized in feature selection method. The aim of this paper is to assess the capability of Haar wavelet power spectrum in the problem of clustering and gene selection based on expression data in the context of disease classification and to propose a method based on Haar wavelet power spectrum. Haar wavelet power spectra of genes were analysed and it was observed to be different in different diagnostic categories. This difference in trend and magnitude of the spectrum may be utilized in gene selection. Most of the genes selected by ear...

Second International Conference on Digital Image Processing, 2010

Here we present an approach of meaningful curve identification with its depth estimation by chain... more Here we present an approach of meaningful curve identification with its depth estimation by chaining of the edge points, to locate and track the obstacles with stereo matching for automatic vehicle navigation. We use a self adoptive and nonlinear principle of extended declivity to obtain the edge points (horizontal declivities) in the images. These edge points include lots of noise

Kybernetes

Journal of Foodservice Business Research

Supply Chain Sustainability, 2020

OPSEARCH, 2021

Journal of Quality Assurance in Hospitality & Tourism, 2020

International Journal of Services and Operations Management, 2020

International Journal of Tourism Cities, 2020

International Journal of Business Information Systems, 2018

International Journal of Strategic Decision Sciences, 2018

International Journal of Services and Operations Management, 2017

International Journal of Knowledge-based and Intelligent Engineering Systems, 2006

Microarray technique facilitates the generation of large amount of data useful for solving many b... more Microarray technique facilitates the generation of large amount of data useful for solving many biological problems. Analyzing this vast amount of data needs great efforts for analysis. Usually, statistical methods like clustering are used to extract the common features among existing informal groups in a microarray data. But, dimensionality reduction and denoising the data are required for effective utilization for these methods. Hence better exploratory techniques are required for quick and effective inferencing. The present paper studies the capability of transform oriented signal processing techniques especially wavelet transform and wavelet power spectrum for feature selection and classification in microarray data. The suitability of wavelet based technique has been demonstrated on such datasets and innovative methods based have been proposed. The methods have been validated for feature selection and classification of binary datasets. It was observed that the proposed technique is more efficient and also requires no extensive preprocessing of data.

BMC bioinformatics, Jan 5, 2006

Second International Conference on Digital Image Processing, 2010