Dr.Sreekumar

EDUCATION

Ph.D (Management)

RESEARCH, TEACHING, or OTHER INTERESTS

Management of Technology and Innovation, Marketing

Scopus Publications

Selection of project manager in a large-scale enterprise: an analytical hierarchy process approach
N.A. Sreekumar and Smruti Rekha Behera
Inderscience Publishers



Impact of mergers and acquisitions on shareholder wealth in indian banks: A data envelopment analysis approach
Trilochan Jena, Pradipta Kumar Sanyal, and ‑ Sreekumar
IGI Global
In today's changing business environment characterized by complexity and volatility, the Indian banking sector is witnessing tough competition from national and multinational players. In this study, the authors studied the Indian bank mergers between 2006 and 2018 to measure the impact of mergers and acquisitions (M&A) on efficiency in financial performance. A sample of four Indian banks—State Bank of India, Bank of Baroda, HDFC Bank, and Kotak Mahindra Bank—was selected based on market capitalization. This chapter evaluated five years of pre- and post-merger financial efficiency to measure the impact of M&A on efficiency in financial performance. The authors considered seven critical variables impacting the performance of Indian banks for the study. The non-parametric technique data envelopment analysis (DEA) is used for efficiency measurement over the period. The study shows that mergers and acquisitions positively impact the enhancement of financial efficiency.


Diabetes Prediction: A Comparison Between Generalized Linear Model and Machine Learning
Sreekumar, Swati Das, Bikash Ranjan Debata, Rema Gopalan, and Shakir Khan
Springer Nature Singapore



Application of fog computing in the retail industry for transition to retail 4.0: An overview
­ Sreekumar, Swati Das, Rema Gopalan, and Bikash Ranjan Debata
IGI Global
Retail industry plays an important role in global economic scenario and contributes around 27 percent of world economy. The use of information technology enhances customer self-awareness, and it is a proven fact that consumers who enjoy their shopping experience end up buying more and more things. Retail is one of the sectors that has seen significant change since the introduction of Industry 4.0 technologies like cloud computing, IoT, fog computing, artificial intelligence, etc. This change can be seen in supermarkets like Amazon Go store, Alibaba Hema store, IKEA, and many more. The study focuses on various technological advancement including application of fog computing for giving the Indian retail industry a competitive advantage. The study also observes that store organizations that emphasize store design and adoption of technological innovations to simplify the purchasing process have been very successful in creating loyal customers for their stores.


Efficiency Measurement in B2B Digital Marketing: a DEA Approach




An integrated approach using interpretive structural modeling and quality function deployment for improving Indian retail service quality
Sreekumar, Rema Gopalan, and Biswajit Satpathy
IGI Global
This article attempts to develop a model by integrating interpretive structural modeling (ISM) and quality function deployment (QFD) methodology by establishing the relationship between the Indian retail service quality dimensions and service quality enablers. The integrated approach is employed to translate customers' requirements/needs into specific service design factors/requirements in the Indian retail context. The retail service quality dimensions are identified using factor analysis and are considered as the customer demands in QFD process. Thirteen retail enablers were identified through an extensive literature survey and expert opinions. The enablers identified for the study were treated as design requirement for employing quality function deployment (QFD) in order to prioritize the design requirements. The results found showed that retail enablers ‘Image of the Store' and ‘Value Conscious Consumers' can be emphasized more in a priority basis by the Indian retailers followed by retail enablers ‘Location of store' and ‘Globalization/Competition'.


Evaluating the Indian retail service quality enablers using interpretive structural modelling
Rema Gopalan, N.A. Sreekumar, and Biswajit Satpathy
Inderscience Publishers
Indian retail as one of the major sub-sectors in services industry is going through a transition phase. In such context, the proposed research aims to provide a comprehensive framework for the various important retail enablers in India. A combined approach of interpretive structural modelling and fuzzy MICMAC is adopted to identify and classify the key enabling factors based on their direct and indirect relationship. Based upon the literature survey and expert opinion 13 key enabling factors have been identified. Thirteen identified factors are government policies/regulations, supply chain, management commitment, location of store, image of the store, consumer culture, availability of skilled manpower, technology adoption, globalisation/competition, product localisation, real estate/infrastructure, workforce management and value conscious consumers. The MICMAC analysis reveals that four of these factors can be classified as independent, three factors as linkage and six factors are classified as dependent. However no factor is classified as autonomous. The fuzzy MICMAC shows that four factors can be classified as independent, nine factors as linkage and no factor is classified as autonomous and dependent. Based on this classification companies can devise marketing strategies across the retail value chain to become successful.


Evaluating retail store image - an empirical study in India
Santosh Kumar Biswal, N.A. Sreekumar, and Arun Kumar Panda
Inderscience Publishers
Retail industry in India is pivotal for its economy contributing around 20% to the country's gross domestic product. The competition is retaining and attracting new customers to the store. There are many tangible and intangible factors influencing the success of a store. Store image, which is formed by the stake holders encompassing all the components of retail mix play an important role in store success. The research is carried out in seven major cities in the eastern part of India. A structured questionnaire containing 32 items was developed based on literature review. A total of 552 usable responses were collected across different demographic profile for the study. The paper identifies eight factors influencing the store image viz. store reputation, physical characteristics, customer service, convenience, product reliability, supporting facilities, services, and pricing policy. It is found in the study, supporting facility has more influence on overall image of the store, followed by product reliability and services. It is also observed that pricing policy of the store has least impact on store image. In the emerging economic scenario Indian retailers shall be more scientific in their approach and give right importance to the parameters influencing their bottom line.


Evaluation of retail service quality – A fuzzy AHP approach
Rema Gopalan, Sreekumar ., and Biswajit Satpathy
Emerald
Purpose– With the growing importance of service quality in Indian retail, it becomes critical for the retailers to identify the appropriate dimensions for their retail stores. In the process of evaluating service quality the decision maker is often faced with ambiguities due to the imprecise information gained from the respondents. The purpose of this paper is to present an integrated fuzzy (fuzzy analytic hierarchy process (FAHP) approach to help the decision makers/retailers in practicing and judging the priorities of service quality strategies and accordingly benchmarking retail stores in Indian retail environment.Design/methodology/approach– The study incorporated the five basic dimensions of Retail Service Quality Scale proposed by Dabholkaret al.(1996) and the FAHP approach to three leading apparel retail stores of a major city (Rourkela) of Orissa (an Indian state located in eastern part of the country) to determine the weights of criteria and sub-criteria of retail service quality.Findings– The study identified that the dimensions, namely, personal interaction, physical aspects, reliability and policy are perceived as important by the Indian consumers. Merchandise and the store’s willingness to handle returns and exchanges emerge as the most influencing variable affecting the overall service quality of the store.Research limitations/implications– The study was restricted to a major city of Orissa and to three apparel stores. The results obtained may not be extrapolated to the country as a whole. The authors believe that the integrated approach of FAHP could be used by a variety of service industries to evaluate the service quality. The study did not investigate switching behavior among the respondents as they had been visiting all the three apparel stores during the preceding months.Practical implications– The integrated approach of FAHP makes an empirical contribution to the service quality and retail marketing literature by overcoming the uncertainty of concepts those are associated with human beings’ subjective judgments.Social implications– The retailer can improve the quality of service provided by them based on the parameters important in Indian context, which will lead to higher customer satisfaction.Originality/value– This paper can help the retail service providers to identify which of the retail service quality dimensions requires much attention to create sustainable competitive advantage.


Interrelations of service quality and service loyalty dimensions in medical tourism: A structural equation modeling approach
Bikash Ranjan Debata, Bhaswati Patnaik, Siba Sankar Mahapatra, and Kumar Sree
Emerald
Purpose – The purpose of this paper is to identify the dimensions of service quality as well as of service loyalty in the context of medical tourism. It seeks to demonstrate the conceptualization of medical tourism service loyalty (MTSL) construct. This research also attempts to examine the effect of service quality dimensions on service loyalty dimensions of medical tourism. Design/methodology/approach – The dimensions of service quality as well as of service loyalty are identified using an exploratory factor analysis. Next, the reliability and validity of the quality factors and loyalty factors are established through confirmatory factor analysis using AMOS 18.0 version. The related hypotheses are tested using structural equation modeling (SEM). Findings – The paper identifies eight-factor construct for medical tourism service quality and three-factor construct for MTSL. It is found that the treatment satisfaction dimension of service quality has positive and significant impact on MTSL. It is also observed that, overall, medical tourism service quality has positive impact on MTSL. Practical implications – These dimensions of service quality should be viewed as the levers of improving perceived service quality with respect to medical tourism. Examining the service quality dimensions’ impact on customer loyalty for medical tourism sector can offer the industry valuable insights regarding which aspects of the service to focus on in order to improve medical tourist’s satisfaction and loyalty toward the firms. Originality/value – This paper introduces the concept of service quality and service loyalty in medical tourism sector. In conceptualizing MTSL, the authors propose an integration of behavioral measures, attitudinal measures and cognitive measures. The interrelationship between the service quality construct and medical loyalty construct was established using SEM. This is useful for the healthcare manager to measure the medical tourist’s perceptions of service quality on these dimensions as related to medical tourism performance.


Service quality of Indian banks: A fuzzy inference system approach




Efficiency measurement in medical tourism: A DEA approach
Bikash Ranjan Debata, Bhaswati Patnaik, S.S. Mahapatra, and N.A. Sreekumar
Inderscience Publishers
The main purpose of the present study is to develop an appropriate construct to benchmark medical tourism in India for effective decision-making by minimising deficiencies and implementing possible strategies to improve the medical tourism performance. A total of 39 medical tourism service providers in India are chosen for benchmarking purpose. Data envelopment analysis (DEA), being a robust mathematical tool has been employed to evaluate the efficiency of medical tourism. The peer group and peer weights for the inefficient medical tourism service providers have been identified. The study identifies the parameters in which the inefficient decision-making units (DMUs) lack for formulating necessary strategies to improve upon them. The method being a generic one can be adopted by the managers to assess medical tourism performance and finds a suitable peer to which it should follow to improve own technical efficiency followed by in what respect it has to improve.


Assessment of technical efficiency of Indian B-schools: A comparison between the cross- sectional and time-series analysis
Sreekumar and Gokulananda Patel
IGI Global
In the present economy, both at national and international front service sector, is playing a pivotal role as a major contributor towards the GDP. The importance of service sector necessitates the efficiency measurement of various service units. The opening of Indian economy (Liberalisation – Privitisation – Globalisation) has affected every segment of Indian industry and service sector, education being no exception. Today, management education is one of the most sought after higher education options for Indian students. Management education in India has also undergone many changes in the last decade or so, meeting the need of industries. Meeting this growing demand has lead to proliferation of management institutions, and in many a cases the quality of education is compromised. Some popular Indian magazines and journals started ranking the Indian B-Schools intending to give information to all the stake holders involved. All these methods either use weighted average or clustering method to rank the institutes. This chapter proposes an alternative method based on efficiency analysis using Data Envelopment Analysis to rank the Indian B-Schools. The B-schools are observed over multiple periods of time, and the variations of efficiency are used to draw a conclusion about the performance of B-schools. Window analysis is used to compare the performance of B-schools over the period of time.


Evaluating medical tourism enablers with interpretive structural modeling
Bikash Ranjan Debata, Kumar Sree, Bhaswati Patnaik, and Siba Sankar Mahapatra
Emerald
Purpose – The purpose of this paper is to develop a comprehensive framework to identify and classify key medical tourism enablers (MTEs) and to study the direct and indirect effects of each enabler on the growth of medical tourism in India. Design/methodology/approach – In this paper, an integrated approach using interpretive structural modeling (ISM) and Fuzzy Matrice d'Impacts Croisés Multiplication Appliquée á un Classement (FMICMAC) analysis has been developed to identify and classify the key MTEs, typically identified by a comprehensive review of literature and expert opinion. The key enablers are also modeled to find their role and mutual influence. Findings – The key finding of this modeling helps to identify and classify the enablers which may be useful for medical tourism decision makers to employ this model for formulating strategies in order to overcome challenges and to become a preferred medical tourism destination. Integrated model reveals enablers such as medicine insurance coverage, international healthcare collaboration, and efficient information system as dependent enablers. No enabler is found to be autonomous enablers. The important enablers like healthcare infrastructure facilities and global competition are found as the linkage enablers. Research in medicine and pharmaceutical science, medical tourism market, transplantation law, top management commitment, national healthcare policy, competent medical and para-medical staffs are found as the independent enablers. Integrated model also establishes the direct and indirect relationship among various enablers. Originality/value – The research provides an integrated model using ISM and FMICMAC to identify and classify various key enablers of medical tourism in India. In conventional cross-impact matrix multiplication applied to classification analysis, binary relationship of various enablers is considered. FMICMAC analysis helps to establish possibility of relationship among various enablers so that low-key hidden factors can be identified. The low-key hidden factors may initially exhibit marginal influence but they may show significant influence later on during analysis. The uncertainty and fuzziness of relationship among various enablers can be conveniently handled by FMICMAC and expert opinions can easily be captured. This research will help medical tourism decision makers to select right enablers for the growth of medical tourism in India.


Marketing Channel Choice and Marketing Efficiency Assessment in Agribusiness
Rajeev Kumar Panda
Informa UK Limited
In agribusiness, profitability critically depends on the choice of proper marketing channels. This article studies the factors influencing marketing channel choices of vegetable farmers. Vegetable farmers have generally 3 choices to sell their produce, which are formal and informal market participation vis-à-vis nonmarket participation. Ten independent variables are considered for the study and a multinomial logistic regression model is used for the analysis. The study finds 4 major variables that can influence farmers’ decision to shift from nonmarket participation to informal or formal market participation. The article further identifies 4 microlevel marketing channels and assesses their efficiency.


An integrated approach for service quality improvement in medical tourism: An Indian perspective
Bikash Ranjan Debata, Bhaswati Patnaik, S.S. Mahapatra, and N.A. Sreekumar
Inderscience Publishers
This paper attempts to develop a medical tourism service quality construct that will be used for evaluation of the medical tourism service providers in India. Cross-sectional survey of medical tourists at seven hospitals including Joint Commission International (JCI) accredited and non-accredited hospitals across India is carried out and 332 responses are collected from seven hospitals. The data were collected between March 2010 and June 2010. Analysis of data helps to propose a 36-item scale. Ten dimensions of perceived medical tourism service quality are identified viz., accessibility/convenience, treatment satisfaction, courtesy, physical environment features, technical quality of care competency, promptness, facility premises, alternative therapy, finance factors for medical services and pharmaceutical services. Reliability, validity, and factor structure of the construct are evaluated. The interrelationship between medical tourism design requirements is identified using interpretative structural modelling (ISM). These aforesaid dimensions are treated as voice of customers (VoC) and 11 design requirements (medical tourism design requirements) from extensive literature review are treated as design requirement for employing quality function deployment (QFD) in order to prioritise the design requirements.


Performance modeling of Indian business schools: A DEA-neural network approach
S. Sreekumar and S.S. Mahapatra
Emerald
PurposeThe main purpose of the present study is to develop an integrated approach combining data envelopment analysis (DEA) and neural network (NN) for assessment and prediction of performance of Indian B‐schools for effective decision making as error and biasness due to human intervention in decision making is appreciably reduced.Design/methodology/approachDEA, being a robust mathematical tool, has been employed to evaluate the efficiency of B‐schools. DEA, basically, takes into account the input and output components of a decision‐making unit (DMU) to calculate technical efficiency (TE). TE is treated as an indicator for performance of DMUs and comparison has been made among them. A sensitivity analysis has been carried out to study robustness of the ranking of schools obtained through DEA. Finally, NN is used to predict the efficiency when changes in inputs are caused due to market dynamism so that effective strategies can be evolved by the managers with limited available data.FindingsA total of 49 Indian B‐schools are chosen for benchmarking purpose. The average score of efficiency is 0.625 with a standard deviation of 0.175 when Charnes, Cooper and Rhodes (CCR) model is used. Similarly, when the Banker, Charnes and Cooper (BCC) model is used the average score is 0.888 with a standard deviation of 0.063. The rank order correlation coefficient between the efficiency ranking obtained through CCR and BCC model is 0.736 (p=0.000) which is significant. The peer group and peer weights for the inefficient B‐schools have been identified. This is useful for benchmarking for the inefficient DMUs. They can identify the parameters in which they lack and take necessary steps for improvement. The peer group for the inefficient B‐schools indicates the efficient B‐schools to which the inefficient B‐schools are closer in its combination of inputs and outputs. The TE obtained through DEA is used as output variable along with input variables considered in DEA as input and output parameters in a generalized regression NN during training phase. It can be observed that root mean square error is 0.009344 and 0.02323 for CCR‐ and BCC‐efficiency prediction, respectively, during training. Similarly, root mean square error is 0.08585 and 0.03279 for CCR‐ and BCC‐efficiency prediction, respectively, during testing. Now, individual schools can generate scenario with the data within their control and test their own performance through NN model.Originality/valueThis work proposes integration of DEA and NN to assist the managers to predict the performance of an individual DMU based on input consumed and generate various “what‐if” scenarios. The study provides a simple but comprehensive methodology for improving performance of B‐schools in India.


Information Technology implementation prioritization in supply chain: An integrated multi criteria decision making approach
Debendra Mahalik and Gokulananda Patel
IGI Global
The increasing rate of technology growth has resulted in decrease in cost of information. These technologies are helpful in coordinating the activities resulting in effective management of the supply chain. Literature shows that the use of Information Technology (IT) plays an important role in managing the processes of SCM. This has resulted in increasing use of IT in SCM. The computerization of SCM processes, if implemented in one go may result in failure. IT implementation prioritization in supply chain is a major issue before the planner as there is no clear cut formula to solve this problem. This paper considers components of SCM like material management, purchase management, production management, logistics and distribution and customer interface for IT implementation prioritization. Two multi-criteria decision making methods (MCDM) viz. analytical hierarchy process (AHP) and a technique for order preference by similarity to ideal solution (TOPSIS) are used in this paper. The novelty of the paper lies in integration of AHP and TOPSIS methods for IT implementation prioritization. The weights of the criterions and the alternatives are calculated using AHP method which is used as an input for TOPSIS analysis for prioritization of IT implementation.


Attribute selection in marketing: A rough set approach
Sabita Mahapatra, Sreekumar, and S.S. Mahapatra
Elsevier BV



Service quality evaluation of technical institutions using data envelopment analysis
M.S. Khan, S.S. Mahapatra, and N.A. Sreekumar
Inderscience Publishers
In the present emerging global economy, the focus has been shifted from manufacturing to service sector necessitating the quality assessment in service sector as an important issue. Education sector, especially Technical Education System (TES), is characterised as highly process oriented, intangibility and multistakeholder situations. Therefore, difficulty arises in evaluating quality of education being imparted aggregating the inputs and outputs of the system. This paper proposes an alternative method viz. Data Envelopment Analysis (DEA) which can aggregate the input and output components in such situations for obtaining an overall performance measure. Selected technical institutions in India are assessed for their service quality using DEA and suggestion is put forward for the non-performing institutions. The result shows significant difference between the conventional system of evaluation and DEA methods.


Comparative analysis of B-school rankings and an alternative ranking method

RECENT SCHOLAR PUBLICATIONS

A Critical Review of Influence of Technology on Financial Decision Making and Investor Psychology A Critical Review of Influence of Technology on Financial Decision Making and
SK Sumana Mondal
Investment Strategies in the Age of Technological Innovation and Emerging 2025



Diabetes Prediction: A Comparison Between Generalized Linear Model and Machine Learning
Sreekumar, S Das, BR Debata, R Gopalan, S Khan
Computational Intelligence in Healthcare Informatics, 57-73 2024



Skilling the Workforce for Industry 4.0
RKM Smruti Rekha Behera, Sree Kumar
Reskilling the Workforce for Technological Advancement 2024



Impact of Mergers and Acquisitions on Shareholder Wealth in Indian Banks: A Data Envelopment Analysis Approach
S Trilochan Jena, Pradipta Kumar Sanyal
Data Envelopment Analysis (DEA) Methods for Maximizing Efficiency 2024



Application of Fog Computing in the Retail Industry for Transition to Retail 4.0: An Overview
BRD Sreekumar, Swati Das, Rema Gopalan
Multi-Disciplinary Applications of Fog Computing: Responsiveness in Real-Time 2023



Customer classification in Indian retail sector-a comparative analysis of various machine learning approaches
R Gopalan, M Desai, D Acharjya
International Journal of Operations and Quantitative Management 26 (1), 1-28 2020



An Integrated Approach Using Interpretive Structural Modeling and Quality Function Deployment for Improving Indian Retail Service Quality
Sreekumar, G Rema, B Satpathy
International Journal of Business Analytics (IJBAN) 6 (2), 1-22 2019



STATUS OF MICROINSURANCE IN INDIA-A REVIEW
P Mahanta, G Panda
International Education and Research Journal 2 (12) 2016



Evaluating retail store image – an empirical study in India
AKP Santosh Kumar Biswal, Sreekumar
Int. J. Business Excellence 9 (1), 68-91 2016



Special issue on International Journal of Resaerch and Development-A Management Review
AP Subrat Pattnayak, Sreekumar
IRD India 2016



STATUS OF MICROINSURANCE IN INDIA-A REVIEW
Sreekumar, Padmalochan Mahanta, Gitanjali Panda
International Education & Research Journal 2 (12) 2016



Evaluating the Indian retail service quality enablers using interpretive structural modelling
BS Sreekumar, Rema Gopalan
International Journal of Business Performance Management 17 (4) 2016



Interrelations of service quality and service loyalty dimensions in medical tourism
BR Debata, B Patnaik, SS Mahapatra, K Sree
Benchmarking: An International Journal 2015



Indian retail service quality evaluation a structural equation modeling approach
Sreekumar, Satpathy B., Gopalan R
Economic Challenger 66 (17), 37-44 2015



Evaluation of Retail Service Quality- A Fuzzy AHP approach
Rema Gopalan, Sreekumar and Biswajit Satpathy
Benchmarking: an International Journal 22 (6), 1058-1080 2015



Service Quality of Indian Banks: A Fuzzy Inference System Approach
SMSSM Sreekumar
Asian Academy of Management Journal 20 (2), 59–80 2015



Interrelations of service quality and service loyalty dimensions in medical tourism: a structural equation modelling approach
S BRDebata, B Patnaik, SS Mahapatra
Benchmarking: An International Journal 22 (1), 18-55 2015



Assessment of Technical Efficiency of Indian B-Schools
G Patel
2014



Efficiency measurement in medical tourism: a DEA approach
S BR Debata, B Patnaik, SS Mahapatra
International Journal of Process Management and Benchmarking 5 (1), 90-112 2014



Assessment of Technical Efficiency of Indian B-Schools: A Comparison between the Cross
S Patel, Gokulananda
Advances in Secure Computing, Internet Services, and Applications, 128 2013

MOST CITED SCHOLAR PUBLICATIONS

Service quality evaluation in internet banking: an empirical study in India
MS Khan, S Mahapatra, Siba Sankar
International Journal of Indian Culture and Business Management 2 (1), 30-46 2008
Citations: 434



Interrelations of service quality and service loyalty dimensions in medical tourism: a structural equation modelling approach
S BRDebata, B Patnaik, SS Mahapatra
Benchmarking: An International Journal 22 (1), 18-55 2015
Citations: 121



Evaluating medical tourism enablers with interpretive structural modeling
B Ranjan Debata, K Sree, B Patnaik, S Sankar Mahapatra
Benchmarking: An International Journal 20 (6), 716-743 2013
Citations: 111



Marketing Channel Choice and Marketing Efficiency Assessment in Agribusiness
S RK Panda
Journal of International Food & Agribusiness Marketing 24 (3) 2012
Citations: 100



Performance modeling of Indian business schools: a DEA-neural network approach
SSM Sreekumar
Benchmarking: An International Journal 18 (2), 221 - 239 2011
Citations: 76



Evaluation of Retail Service Quality- A Fuzzy AHP approach
Rema Gopalan, Sreekumar and Biswajit Satpathy
Benchmarking: an International Journal 22 (6), 1058-1080 2015
Citations: 47



Service quality evaluation of technical institutions using data envelopment analysis
MS Khan, SS Mahapatra
International Journal of Productivity and Quality Management 3 (1), 127-143 2008
Citations: 46



An integrated approach for service quality improvement in medical tourism: an Indian perspective
S BR Debata, B Patnaik, SS Mahapatra
International Journal of Services and Operations Management 13 (1), 119-145 2012
Citations: 42



A fuzzy multi-criteria decision making approach for supplier selection in supply chain management
SSM Sreekumar
African journal of business management 3 (4), 168 2009
Citations: 41



Attribute selection in marketing: A rough set approach
S Mahapatra, SS Mahapatra
IIMB Management Review 22 (1-2), 16-24 2010
Citations: 28



Prioritizing issues in agribusiness using ridit analysis: An Indian perspective
S RK Panda
World Journal of Agricultural Sciences 8 (1), 80-88 2012
Citations: 25



Factors Influencing Purchase of ‘NANO’ the Innovative Car from India-An Empirical Study
KPSS Debata, B. R.
Asian Journal of Business Management 2 (3), 48-56. 2010
Citations: 20



Development of an instrument for measuring service quality of medical tourism in India
S BR Debata, B Patnaik, SS Mahapatra
International Journal of Indian Culture and Business Management 4 (6), 589-608 2011
Citations: rument for measuring service quality of medical tourism in India



Development of an instrument for measuring service quality of medical tourism in India
S BR Debata, B Patnaik, SS Mahapatra
International Journal of Indian Culture and Business Management 4 (6), 589-608 2011
Citations: 19



Supplier selection in supply chain management: a fuzzy multi-criteria decision-making approach
Sreekumar, SS Mahapatra
International Journal of Services and Operations Management 8 (1), 108-126 2011
Citations: 17



Fundamental Approach to Discrete Mathematics
DP Acharjya, Sreekumar
New Age International (P) Ltd. 2009
Citations: 17



Evaluating retail store image – an empirical study in India
AKP Santosh Kumar Biswal, Sreekumar
Int. J. Business Excellence 9 (1), 68-91 2016
Citations: 15



Efficiency measurement amongst medical tourism service providers in India
S BR Debata, B Patnaik, SS Mahapatra
International Journal for Responsible Tourism 2 (1), 24 2013
Citations: 14



Analyzing the Factors Influencing Store Image from Customer’s Perspective-An Empirical Study in India
SAKP Santosh Kumar Biswal
Asian Journal of Business Management Studies 2 (3), 144-154 2011
Citations: 13



Efficiency Measurement Using DEA and AHP: a case study on Indian ports.
DK Mahalik, G Patel
IUP Journal of Supply Chain Management 7 2010
Citations: 13