Search results

1 – 10 of 12
Article
Publication date: 25 October 2019

Preeti Tiwari, Anil K. Bhat, Jyoti Tikoria and Kaustav Saha

The purpose of this paper is to identify the entrepreneurial intention (EI) among nascent entrepreneurs in the Indian context by using Shapero’s theory of entrepreneurial…

Abstract

Purpose

The purpose of this paper is to identify the entrepreneurial intention (EI) among nascent entrepreneurs in the Indian context by using Shapero’s theory of entrepreneurial event as the research framework.

Design/methodology/approach

A 34-item questionnaire was responded to 250 nascent entrepreneurs who are engaged in executing the new business idea or creating new ventures and enroled in the universities in India. The questions measured perceived desirability, perceived feasibility, entrepreneurial educational background, entrepreneurial self-efficacy, perceived social pressure and previous work experience in entrepreneurial activities towards entrepreneurship intention. The data were collected by employing a systematic random sampling method. The sample represents 174 male and 76 female nascent entrepreneurs belonging to various disciplines. Structural equation modelling has been used for data analysis.

Findings

The results show that the proposed model in the present study explains 51 per cent of the variance, explaining the entrepreneurship intention. Entrepreneurial self-efficacy was found to be the strongest predictor of EI (β=0.397 at p<0.001) followed by previous experience in entrepreneurial activities (β=0.285 at p<0.001).

Research limitations/implications

More than limitation this research study adds to the existing literature of the EI by using a different set of the sample. Mostly EI studies used student sample to measure intentions. Kolvereid and Isaksen used a sample of entrepreneurs to measure EI and achieved very different results. Therefore, this research study extends the work of Kolvereid and Isaksen by using a sample of nascent social entrepreneurs.

Practical implications

The finding of this research study will facilitate policy makers and educators to promote entrepreneurial activities at the university level. Based on the results and findings of the study, the educators may improve upon the support system to help and motivate students to opt for social entrepreneurship as their career choice.

Originality/value

Ajzen (1988) emphasised that the relative significance of the antecedents of intention will vary depending on which stage of intention is under scrutiny. This is one of its kinds of research study that used a sample of nascent entrepreneurs in the Indian context. Findings of this research will be helpful in predicting how the intention process of nascent entrepreneurs works especially in developing countries.

Details

South Asian Journal of Business Studies, vol. 9 no. 1
Type: Research Article
ISSN: 2398-628X

Keywords

Article
Publication date: 6 March 2017

Preeti Tiwari, Anil K. Bhat and Jyoti Tikoria

The purpose of this paper is to identify the role of cognitive styles (CgStys) and self-efficacy (SEff) in the formation of social entrepreneurial intentions (SEIs) among…

2115

Abstract

Purpose

The purpose of this paper is to identify the role of cognitive styles (CgStys) and self-efficacy (SEff) in the formation of social entrepreneurial intentions (SEIs) among the students of a premier multi-campus technical university in India using the theory of planned behaviour as the research framework.

Design/methodology/approach

A 54-item questionnaire was responded by 550 students. The data were collected by employing a systematic random sampling method. In the total sample of the respondents, 67 per cent (n=368) were male and 33 per cent (n=182) were female and the average age of the respondents was 20 years. Structural equation modelling has been used for data analysis.

Findings

The results of the study support that the relationship between antecedents (CgStys and SEff) and SEIs was mediated by the attitude towards becoming a social entrepreneur, subjective norms and perceived behavioural control. Findings of this research study also suggest that students with high level of SEff are more inclined towards social entrepreneurial activities.

Research limitations/implications

The study was confined to the students from a technical university, and it may not give the generalized findings for students from the non-technical stream.

Practical implications

The finding of this research study will facilitate policy makers and educators for promoting social entrepreneurial activities at the university level. Based on the results and findings of the study, the educators may improve upon the support system to help and motivate students to opt social entrepreneurship as their career choice.

Originality/value

This is one of its kinds of research conducted in the Indian context. Findings of this research will be helpful in predicting how the intention process of Indian students is affected by their CgStys and SEff.

Details

South Asian Journal of Business Studies, vol. 6 no. 1
Type: Research Article
ISSN: 2398-628X

Keywords

Article
Publication date: 7 June 2021

Kaustav Saha, Rohit Kumar, Swarup Kumar Dutta and Preeti Tiwari

This study aims to examine the Lumpkin and Dess (1996) conceptualization of entrepreneurial orientation (EO) in an emerging economy, focusing on India. It ascertains the…

Abstract

Purpose

This study aims to examine the Lumpkin and Dess (1996) conceptualization of entrepreneurial orientation (EO) in an emerging economy, focusing on India. It ascertains the dimensions of EO that are valuable in securing superior firm performance in emerging economies, which might differ from a developed market setting. It further examines the difference in the significance of dimensions between the manufacturing and services industry.

Design/methodology/approach

A novel primary data set consisting of responses from 228 new ventures incorporated in India was created through an online questionnaire survey following the tailored design method principles. A disaggregated approach was adopted and the data were analyzed using multiple regression in SPSS 21.

Findings

Among the dimensions of EO, competitive aggressiveness positively affected new venture performance, whereas proactiveness did not show any effect. Autonomy also exhibited a positive impact, except for new venture growth in manufacturing firms. Innovativeness exhibited partial support, only for the effectiveness of service firms. Risking-taking exhibited a negative effect on performance, particularly for manufacturing firms.

Practical implications

The findings guide entrepreneurs and managers operating their new ventures in emerging economies by suggesting the dimensions that are most likely to benefit firm performance and those that might be detrimental.

Originality/value

This study empirically validates the multidimensional conceptualization of EO in India and extends previous studies, which have typically focused on an aggregated EO scale. This study’s findings attest that the manifestation of EO in emerging economies might be different compared to mature economies. The contrast between the manufacturing and service sectors is also shown.

Details

European Business Review, vol. 33 no. 5
Type: Research Article
ISSN: 0955-534X

Keywords

Article
Publication date: 16 November 2020

Preeti Bhaskar, Chandan Kumar Tiwari and Amit Joshi

This paper aims to provide a systematic literature review on blockchain technology in education to offer a detailed understanding of the present scenario in terms of…

2393

Abstract

Purpose

This paper aims to provide a systematic literature review on blockchain technology in education to offer a detailed understanding of the present scenario in terms of benefits, barriers, present blockchain technology application and future areas where blockchain technology can be implemented in the other fields of education.

Design/methodology/approach

A bibliometric analysis is conducted on for data in the publications, journals, authors and citations were collected, and examined by applying bibliometric measures. The data was collected from SCOPUS database on the topic “Blockchain Technology in Education”. The following research questions guided this systematic literature review (SLR: How blockchain technology has been defined in educational settings? How were the technology examined (i.e. the methodology)? What were the results of using this technology in an education system?

Findings

The study identifies the benefits, barriers and present application of blockchain technology in education. The analysis shows that blockchain technology in education is still a young discipline, but has a lot of potential to benefits the educational sector at large.

Practical implications

This research provides a groundwork for education institutions, the policymakers and researchers to explore other areas where blockchain technology can be implemented, though this research has also suggested some prospective uses of blockchain technology in different functions of an education system, more application can be brought into the education system to exploit the potential of blockchain technology.

Originality/value

The paper discusses the application of blockchain technology in education with the help of bibliometric analysis. This is one of the first known studies to review the blockchain technology by identifying its benefits, barriers, present blockchain technology application. Based on the analysis, future application areas are also identified.

Details

Interactive Technology and Smart Education, vol. 18 no. 1
Type: Research Article
ISSN: 1741-5659

Keywords

Article
Publication date: 30 November 2022

Preeti Bangarwa and Supriyo Roy

Operational performance is critical for the banking sector for both managers and other stakeholders as it strongly affects the overall performance of the banking system…

Abstract

Purpose

Operational performance is critical for the banking sector for both managers and other stakeholders as it strongly affects the overall performance of the banking system. Traditional performance measures such as ratio analysis encountered certain shortcomings. At this juncture, data envelopment analysis (DEA) approaches are increasingly applied in bank efficiency studies. However, basic DEA models ignored the interactions between consecutive terms and focused primarily on measuring performance independently for each study period. All this is required to develop an operational performance model that can enable the long-term decision model.

Design/methodology/approach

An attempt has been made to develop a dynamic DEA within a non-radial category to measure interconnection activities considering non-performing loans as an undesirable link. This study uses the Indian banking dataset from 2015 to 2019. The study's research design directs three directions: ‘comparison of the dynamic DEA with the traditional static DEA model, areas of inefficiencies that are investigated for each factor using the factor efficiency index and the robustness results highlighting the performance difference between bank categories.'

Findings

Comparing with static DEA results, the study confirms that the dynamic model best measures long-term operational performance due to the linkage between consecutive terms. The efficiency analysis concludes that the input factor that requires the most improvement is ‘fixed assets' and ‘deposits'. The output factor that needs the most progress is ‘non-interest income'. The robustness of the developed model is proven by ownership categories present within the Indian banking system. At a significance level of 10%, the result of both the separate and dynamic model for privately owned banks is significantly better than that of publicly owned banks.

Originality/value

This paper proposes an operational efficiency model for Indian banks in line with undesirable output. The mean factor efficiency analysis related to non-radial DEA modelling enhances managerial flexibilities in determining improvement initiatives.

Details

Benchmarking: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 10 November 2014

Suresh Bhise, A. Kaur, Preeti Ahluwali and S. S. Thind

The purpose of the present study was to plan with the objectives to optimize and find out the best level of texturized protein from sunflower, soybean and flaxseed on the…

Abstract

Purpose

The purpose of the present study was to plan with the objectives to optimize and find out the best level of texturized protein from sunflower, soybean and flaxseed on the basis of quality and overall acceptability of the cookies.

Design/methodology/approach

Defatted meal from sunflower, soybean and flaxseed was texturized using extruder. Texturized defatted meal of sunflower, soybean and flaxseed was blended at 10, 20, 30 and 40 per cent levels with wheat flour for making cookies using standard procedure.

Findings

Functional properties such as water absorption index, foaming capacity and protein digestibility were increased, while water solubility index and fat absorption capacity decreased with increased levels of texturized defatted meal in wheat flour. Spread ratio, sensory, colour and overall acceptability of cookies were negatively affected when level of texturized flour increased as compared with the control. The force required for breaking cookies decreased with increased level of texturized defatted meal of sunflower, soybean and flaxseed incorporation. Cookies with 10 per cent texturized sunflower, soybean and flaxseed flour received the highest sensory scores. The result showed that texturized defatted meals serve as good substitute to wheat flour with increased protein content in cookies production and utilization.

Originality/value

The study demonstrated that deoiled cake, a byproduct obtained from sunflower, soybean and flaxseed oil industry, offers great potential for supplementation of proteins in food products.

Details

Nutrition & Food Science, vol. 44 no. 6
Type: Research Article
ISSN: 0034-6659

Keywords

Article
Publication date: 29 August 2019

Surabhi Koul and Sahil Singh Jasrotia

Owning to the influence small retailers have on the customer’s final choice, the purpose of this paper is to investigate the factors that dominate small retailer’s…

Abstract

Purpose

Owning to the influence small retailers have on the customer’s final choice, the purpose of this paper is to investigate the factors that dominate small retailer’s assortment planning decisions. Drivers of product adoption by small retailers are the focus of study. Earlier research works have primarily focused on the profit oriented factors of retailing. It is a multidimensional approach of understanding the decision making of small retailers.

Design/methodology/approach

The study is an exploratory in nature, using a mixed method approach that involves both qualitative and quantitative methodology. In the first stage of the study, grounded theory has been adopted that helps in building a conceptual model, which is further validated using SEM. Rural areas of Jammu and Punjab have been targeted to collect data.

Findings

The study provides a conceptual model of product assortment planning for small retailers. The results indicate retail margin, which is the most important criterion toward product selection. Small retailers understand the customer profile and their catchment before selecting a product for their store. Store design is an important variable which impacts the number of categories kept in the store as the shelf space is limited. While determining the assortment planning for the store the retailers need to think in advance about buyer, supplier, environmental and the surplus oriented factors while determining the assortment planning for the store.

Research limitations/implications

In developing economies like India, major population (customers) lie in the rural areas of the country and prefer small retailers to shop their daily necessities. The study proposed that the manufacturers need to maintain good and healthy relationship with the associates of the channel and the retailers that are in connected with the end consumer. Marketing managers of firms with target audience as small retailers can draw many inferences from the present study. They may devise rural strategies keeping attributes like localization of supplier, doorstep delivery, supply frequency, etc., on the basis of product demand and attribute.

Originality/value

This paper fulfills an identified need to explore the assortment planning criteria of BOP retailers in India. Also the mixed methodology is attractive and new in the retail domain.

Details

International Journal of Retail & Distribution Management, vol. 47 no. 11
Type: Research Article
ISSN: 0959-0552

Keywords

Article
Publication date: 22 September 2020

Asma Akter, S M Sohel Rana and Abdul Jalil Ramli

This paper aims to provide a deeper understanding on social entrepreneurial behavior (SEB). Previous researchers mostly focused on social entrepreneurial intention leaving…

Abstract

Purpose

This paper aims to provide a deeper understanding on social entrepreneurial behavior (SEB). Previous researchers mostly focused on social entrepreneurial intention leaving a gap between intention and behavior. The present study, however, tries to explore the issues related to actual SEB by taking data from those who are actively involved in social entrepreneurial activities.

Design/methodology/approach

For testing the hypothesized model of this study, a survey was conducted taking samples from 320 respondents who are actively involved in social entrepreneurial activities. The collected data were analyzed by SmartPLS version 2.0.M3 for validating the results.

Findings

The findings generated from the empirical data reveal that self-efficacy was found to be the most significant followed by moral obligation, innovativeness, social support and empathy (EM) in influencing SEB. In addition to that, perceived desirability partially mediated the relationship between EM, social support, innovativeness and SEB.

Originality/value

This study establishes the importance of some distinctive factors influencing SEB. It is believed that the present study has important implications for society as a whole for solving societal problems and it enriches existing body of knowledge as well.

Details

International Journal of Ethics and Systems, vol. 36 no. 4
Type: Research Article
ISSN: 2514-9369

Keywords

Article
Publication date: 9 February 2022

S. Hemalatha, Nripendra Narayan Das, Jayanthy Ramasamy, Suman Madan and P.C. Senthil Mahesh

Internet of Things (IoT) involves connecting physical objects to the internet to provide opportunities to build smart systems or applications. IoT paradigm assumes many…

Abstract

Purpose

Internet of Things (IoT) involves connecting physical objects to the internet to provide opportunities to build smart systems or applications. IoT paradigm assumes many devices connected over a conventional intent network. These devices usually have restricted resources, so moving part of the service implementation to a cloud infrastructure is a prominent solution. This study aims to proposes in this project human voice as a potential interface for one or more devices in IoT ecosystem enabling issuing commands and receiving information.

Design/methodology/approach

System design is the process of defining the elements of a system such as the architecture, modules and components, the different interfaces of those components and the data that goes through that system. It is meant to satisfy specific needs and requirements of a business or organization through the engineering of a coherent and well-running system.

Findings

The main aim of this proposed work is to develop a ticket booking application that performs all the operations by speech recognition. Hence, visually impaired people can make use of this application. There are several applications that help visually impaired people. This application adds extra features to those available soft wares. Using this, visually impaired people can book the tickets without the help of personal assistants. For future research, this study hopes to extend this application to perform various other operations that will help visually impaired people to do their daily activities like normal people without the help of personal assistants. For example, making a phone call, sending text messages, booking a taxi, easy navigation, etc.

Originality/value

System design involves the identification of classes, their relationship as well as their collaboration. In objector, classes are divided into entity classes and control classes.

Details

World Journal of Engineering, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1708-5284

Keywords

Article
Publication date: 1 April 2022

Qiong Jia, Ying Zhu, Rui Xu, Yubin Zhang and Yihua Zhao

Abundant studies of outpatient visits apply traditional recurrent neural network (RNN) approaches; more recent methods, such as the deep long short-term memory (DLSTM…

Abstract

Purpose

Abundant studies of outpatient visits apply traditional recurrent neural network (RNN) approaches; more recent methods, such as the deep long short-term memory (DLSTM) model, have yet to be implemented in efforts to forecast key hospital data. Therefore, the current study aims to reports on an application of the DLSTM model to forecast multiple streams of healthcare data.

Design/methodology/approach

As the most advanced machine learning (ML) method, static and dynamic DLSTM models aim to forecast time-series data, such as daily patient visits. With a comparative analysis conducted in a high-level, urban Chinese hospital, this study tests the proposed DLSTM model against several widely used time-series analyses as reference models.

Findings

The empirical results show that the static DLSTM approach outperforms seasonal autoregressive integrated moving averages (SARIMA), single and multiple RNN, deep gated recurrent units (DGRU), traditional long short-term memory (LSTM) and dynamic DLSTM, with smaller mean absolute, root mean square, mean absolute percentage and root mean square percentage errors (RMSPE). In particular, static DLSTM outperforms all other models for predicting daily patient visits, the number of daily medical examinations and prescriptions.

Practical implications

With these results, hospitals can achieve more precise predictions of outpatient visits, medical examinations and prescriptions, which can inform hospitals' construction plans and increase the efficiency with which the hospitals manage relevant information.

Originality/value

To address a persistent gap in smart hospital and ML literature, this study offers evidence of the best forecasting models with a comparative analysis. The study extends predictive methods for forecasting patient visits, medical examinations and prescriptions and advances insights into smart hospitals by testing a state-of-the-art, deep learning neural network method.

Details

Industrial Management & Data Systems, vol. 122 no. 10
Type: Research Article
ISSN: 0263-5577

Keywords

1 – 10 of 12