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  • 1
    Online Resource
    Online Resource
    Emerald ; 2023
    In:  Benchmarking: An International Journal Vol. 30, No. 10 ( 2023-12-01), p. 3982-4013
    In: Benchmarking: An International Journal, Emerald, Vol. 30, No. 10 ( 2023-12-01), p. 3982-4013
    Abstract: Coronavirus disease (COVID-19) was declared as a pandemic since COVID-19's widespread outbreak and the hospitality industry has been the hardest hit due to lockdown. Consequently, hospitality workers are suffering from the negative aspects of mental health. In the event of such a crisis, this study aims to explore the link between unemployment and home isolation to the willingness to choose electronic consultation (e-consultation) by exploiting psychological ill-being and behavioural intention (BI) with marital status as a moderator. Design/methodology/approach A quantitative methodology is applied to primary data collected from 310 workers from the hospitality industry through an online survey. Findings Findings of this study suggest that the usage of the e-consultation service can be adopted using three levels. There are valid reasons to conclude unemployment and home isolation are linked to higher rates of psychological health behaviours, which can result in stigma, loss of self-worth and increased mortality. The adverse effect is higher for single individuals than for married people. Originality/value The study focussed on e-consultation, BI coupled with the Fishbein scale and a classification model for the prediction of willingness to choose e-consultation with the extension of Theory of Planned Behaviour (TPB).
    Type of Medium: Online Resource
    ISSN: 1463-5771
    Language: English
    Publisher: Emerald
    Publication Date: 2023
    detail.hit.zdb_id: 2007988-6
    SSG: 3,2
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  • 2
    Online Resource
    Online Resource
    Emerald ; 2019
    In:  Social Responsibility Journal Vol. 16, No. 7 ( 2019-07-29), p. 1013-1033
    In: Social Responsibility Journal, Emerald, Vol. 16, No. 7 ( 2019-07-29), p. 1013-1033
    Abstract: Self-help groups (SHGs) have widely been accepted by developing nations for their contribution to inclusive development. Despite its importance and the recognition of the same, SHGs and their members face several challenges. The purpose of this paper is to comprehensively investigate the inhibiting factors affecting the effectiveness of women SHGs. The paper also proposes a roadmap for all the self-help promoting institutions, such as banks, state and central government, and non-government organizations to address the challenges. Design/methodology/approach The study adopts an exploratory research design to undertake this applied research. It uses phenomenographic and interpretative approaches. Qualitative data have been collected from 24 members belonging to eight SHGs from the eastern Indian state of Odisha with the help of a semi-structured interview schedule. The result has been analyzed by using content analysis. Findings The study finds that SHG members in Odisha face several challenges in the form of financial bottlenecks, entrepreneurial obstacles, capacity-building impediments, mentor-ship challenges, socio-structural challenges and group dynamics. Research limitations/implications The study finds many unique and contextual inhibiting factors, which are valuable additions to the existing literature. At the same time, the result may not be applicable to other kinds of SHGs, such as Alcoholic Anonymous, as their nature, composition and deliverables are quite different from the SHG that the current study has taken into consideration. Practical implications The proposed roadmap would be useful to policymakers, non-government organizations and other agencies involved in the promotion and capacity building of SHGs operating in Odisha in particular and India in general. Originality/value The literature is mainly concerned with the impact evaluation of SHG programs. This study investigates the challenges faced by SHGs in a systematic way and provides a roadmap to address the same in a comprehensive way.
    Type of Medium: Online Resource
    ISSN: 1747-1117 , 1747-1117
    Language: English
    Publisher: Emerald
    Publication Date: 2019
    detail.hit.zdb_id: 2424405-3
    SSG: 3,2
    SSG: 3,4
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  • 3
    Online Resource
    Online Resource
    Project MUSE ; 2020
    In:  The Journal of Developing Areas Vol. 54, No. 1 ( 2020)
    In: The Journal of Developing Areas, Project MUSE, Vol. 54, No. 1 ( 2020)
    Type of Medium: Online Resource
    ISSN: 1548-2278
    Language: English
    Publisher: Project MUSE
    Publication Date: 2020
    detail.hit.zdb_id: 2066560-X
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  • 4
    Online Resource
    Online Resource
    Emerald ; 2018
    In:  Journal of Systems and Information Technology Vol. 20, No. 3 ( 2018-11-14), p. 298-105
    In: Journal of Systems and Information Technology, Emerald, Vol. 20, No. 3 ( 2018-11-14), p. 298-105
    Abstract: Email spam classification is now becoming a challenging area in the domain of text classification. Precise and robust classifiers are not only judged by classification accuracy but also by sensitivity (correctly classified legitimate emails) and specificity (correctly classified unsolicited emails) towards the accurate classification, captured by both false positive and false negative rates. This paper aims to present a comparative study between various decision tree classifiers (such as AD tree, decision stump and REP tree) with/without different boosting algorithms (bagging, boosting with re-sample and AdaBoost). Design/methodology/approach Artificial intelligence and text mining approaches have been incorporated in this study. Each decision tree classifier in this study is tested on informative words/features selected from the two publically available data sets (SpamAssassin and LingSpam) using a greedy step-wise feature search method. Findings Outcomes of this study show that without boosting, the REP tree provides high performance accuracy with the AD tree ranking as the second-best performer. Decision stump is found to be the under-performing classifier of this study. However, with boosting, the combination of REP tree and AdaBoost compares favourably with other classification models. If the metrics false positive rate and performance accuracy are taken together, AD tree and REP tree with AdaBoost were both found to carry out an effective classification task. Greedy stepwise has proven its worth in this study by selecting a subset of valuable features to identify the correct class of emails. Research limitations/implications This research is focussed on the classification of those email spams that are written in the English language only. The proposed models work with content (words/features) of email data that is mostly found in the body of the mail. Image spam has not been included in this study. Other messages such as short message service or multi-media messaging service were not included in this study. Practical implications In this research, a boosted decision tree approach has been proposed and used to classify email spam and ham files; this is found to be a highly effective approach in comparison with other state-of-the-art modes used in other studies. This classifier may be tested for different applications and may provide new insights for developers and researchers. Originality/value A comparison of decision tree classifiers with/without ensemble has been presented for spam classification.
    Type of Medium: Online Resource
    ISSN: 1328-7265
    Language: English
    Publisher: Emerald
    Publication Date: 2018
    detail.hit.zdb_id: 2424013-8
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  • 5
    Online Resource
    Online Resource
    Elsevier BV ; 2023
    In:  Technological Forecasting and Social Change Vol. 186 ( 2023-01), p. 122152-
    In: Technological Forecasting and Social Change, Elsevier BV, Vol. 186 ( 2023-01), p. 122152-
    Type of Medium: Online Resource
    ISSN: 0040-1625
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
    detail.hit.zdb_id: 2015184-6
    detail.hit.zdb_id: 280700-2
    SSG: 19,2
    SSG: 3,4
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  • 6
    Online Resource
    Online Resource
    Inderscience Publishers ; 2016
    In:  International Journal of Business Information Systems Vol. 23, No. 2 ( 2016), p. 175-
    In: International Journal of Business Information Systems, Inderscience Publishers, Vol. 23, No. 2 ( 2016), p. 175-
    Type of Medium: Online Resource
    ISSN: 1746-0972 , 1746-0980
    Language: English
    Publisher: Inderscience Publishers
    Publication Date: 2016
    SSG: 3,2
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  • 7
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2023
    In:  International Entrepreneurship and Management Journal Vol. 19, No. 2 ( 2023-06), p. 923-940
    In: International Entrepreneurship and Management Journal, Springer Science and Business Media LLC, Vol. 19, No. 2 ( 2023-06), p. 923-940
    Type of Medium: Online Resource
    ISSN: 1554-7191 , 1555-1938
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2191484-9
    SSG: 3,2
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  • 8
    Online Resource
    Online Resource
    IGI Global ; 2017
    In:  International Journal of Business Intelligence Research Vol. 8, No. 1 ( 2017-1-1), p. 55-70
    In: International Journal of Business Intelligence Research, IGI Global, Vol. 8, No. 1 ( 2017-1-1), p. 55-70
    Type of Medium: Online Resource
    ISSN: 1947-3591 , 1947-3605
    URL: Issue
    URL: Issue
    RVK:
    Language: Ndonga
    Publisher: IGI Global
    Publication Date: 2017
    detail.hit.zdb_id: 2566652-6
    SSG: 3,2
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  • 9
    Online Resource
    Online Resource
    Elsevier BV ; 2024
    In:  Computers & Security Vol. 140 ( 2024-05), p. 103745-
    In: Computers & Security, Elsevier BV, Vol. 140 ( 2024-05), p. 103745-
    Type of Medium: Online Resource
    ISSN: 0167-4048
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2024
    detail.hit.zdb_id: 2001917-8
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  • 10
    Online Resource
    Online Resource
    Emerald ; 2021
    In:  Information Technology & People Vol. 34, No. 7 ( 2021-11-18), p. 1840-1862
    In: Information Technology & People, Emerald, Vol. 34, No. 7 ( 2021-11-18), p. 1840-1862
    Abstract: This study extends the literature on the effectiveness of e-learning by investigating the role of student engagement on perceived learning effectiveness (PLE) in the context of Indian higher education. Further, the impact of personal factors (Internet self-efficacy (ISE)) and environmental factors (information, system and service quality parameters) on various dimensions of student engagement (behavioral, emotional and cognitive) is studied through the lens of social cognitive theory (SCT). Design/methodology/approach An online management information systems (MIS) course is delivered to a batch of 412 postgraduate students. An online survey was conducted to measure the factors affecting their PLE. In addition to the survey, a summative assessment is conducted to evaluate the students in terms of their marks to assess their achievements (actual learning). Covariance-based structural equation modeling (CB-SEM) is used to validate the developed research model. Findings It is discovered that the IS (information system) quality parameters (environmental factors) positively impact PLE. The ISE affects the PLE through the mediating effect of all the dimensions of student engagement. Furthermore, there exists a positive relationship between PLE and student marks. Originality/value This study develops a research model using personal and environmental factors to understand PLE through the lens of SCT and then empirically validates it. The psychological process from the students' ISE to the PLE is explained through the mediating effects of various dimensions of engagement. Further, it is found that the PLE is positively related to student marks.
    Type of Medium: Online Resource
    ISSN: 0959-3845
    Language: English
    Publisher: Emerald
    Publication Date: 2021
    detail.hit.zdb_id: 1120182-4
    detail.hit.zdb_id: 2014262-6
    SSG: 24,1
    SSG: 3,2
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