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  1. Article: Understanding the adoption and willingness to pay for internet of things services

    Kasilingam, Dharun / Krishna, Rajneesh

    International journal of consumer studies. 2022 Jan., v. 46, no. 1

    2022  

    Abstract: Internet of Things (IOT) involves devices that can interact with one another by connecting to the internet and sending information, ultimately improving human lives. This research is one of the first in literature that seeks to understand the variables ... ...

    Abstract Internet of Things (IOT) involves devices that can interact with one another by connecting to the internet and sending information, ultimately improving human lives. This research is one of the first in literature that seeks to understand the variables that influence consumer adoption of IOT products offered as services against a monthly premium. The influence of value dimensions on IOT on its adoption and consumer willingness to pay a premium was studied. A sample consisting of 1623 responses collected through an online survey was analysed using partial least squares structural equation modelling. The moderating role of age groups, gender and income levels was also analysed. Out of sample prediction and overfitting of the model were used to assess predictive validity both for the full data set and across groups using PLS Predict. Perceived playfulness, personal innovativeness and convenience value were the most significant variables affecting attitude and intention to use IOT services. Attitude mediated most relationships in the model. Moderation analysis using demographic variables of gender, age groups and income levels revealed significant differences in the strengths of the relationships in the model. Predictive validity assessment with PLS showed revealed high predictive power of the model for adoption outside the selected sample. The results can help marketers segment and design business strategies to expedite the diffusion and adoption of the technology in the market. The need for a shift in the B2C IOT market from product‐centric to a product‐as‐a‐service business to maximize value to consumers is thus proposed.
    Keywords Internet ; data collection ; equations ; gender ; humans ; income ; markets ; models ; prediction ; surveys ; willingness to pay
    Language English
    Dates of publication 2022-01
    Size p. 102-131.
    Publishing place John Wiley & Sons, Ltd
    Document type Article
    Note JOURNAL ARTICLE
    ZDB-ID 2045189-1
    ISSN 1470-6423
    ISSN 1470-6423
    DOI 10.1111/ijcs.12648
    Database NAL-Catalogue (AGRICOLA)

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  2. Article ; Online: Understanding the emotions of Syrians and Turks towards the 2023 earthquake using Natural Language Processing techniques - Crucial for mental health professionals in treating patients.

    Sv, Praveen / Kasilingam, Dharun / Lohia, Radhika / Bhatia, Riddhi / Chakraborty, Chiranjib / Ahmed, Sirwan Khalid / Dhama, Kuldeep

    Asian journal of psychiatry

    2023  Volume 85, Page(s) 103590

    MeSH term(s) Humans ; Earthquakes ; Emotions ; Mental Health ; Natural Language Processing ; Syria ; Turkey ; Mental Disorders/etiology ; Mental Disorders/psychology
    Language English
    Publishing date 2023-04-13
    Publishing country Netherlands
    Document type Letter
    ZDB-ID 2456678-0
    ISSN 1876-2026 ; 1876-2018
    ISSN (online) 1876-2026
    ISSN 1876-2018
    DOI 10.1016/j.ajp.2023.103590
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Exploring the growth of COVID‐19 cases using exponential modelling across 42 countries and predicting signs of early containment using machine learning

    Kasilingam, Dharun / Sathiya Prabhakaran, Sakthivel Puvaneswaran / Rajendran, Dinesh Kumar / Rajagopal, Varthini / Santhosh Kumar, Thangaraj / Soundararaj, Ajitha

    Transboundary and emerging diseases. 2021 May, v. 68, no. 3

    2021  

    Abstract: The coronavirus disease 2019 (COVID‐19) pandemic spread by the single‐stranded RNA severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) belongs to the seventh generation of the coronavirus family. Following an unusual replication mechanism, its ... ...

    Abstract The coronavirus disease 2019 (COVID‐19) pandemic spread by the single‐stranded RNA severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) belongs to the seventh generation of the coronavirus family. Following an unusual replication mechanism, its extreme ease of transmissivity has put many countries under lockdown. With the uncertainty of developing a cure/vaccine for the infection in the near future, the onus currently lies on healthcare infrastructure, policies, government activities, and behaviour of the people to contain the virus. This research uses exponential growth modelling studies to understand the spreading patterns of SARS‐CoV‐2 and identifies countries that showed early signs of containment until March 26, 2020. Predictive supervised machine learning models are built using infrastructure, environment, policies, and infection‐related independent variables to predict early containment. COVID‐19 infection data across 42 countries are used. Logistic regression results show a positive significant relationship between healthcare infrastructure and lockdown policies, and signs of early containment. Machine learning models based on logistic regression, decision tree, random forest, and support vector machines are developed and show accuracies between 76.2% and 92.9% to predict early signs of infection containment. Other policies and the decisions taken by countries to contain the infection are also discussed.
    Keywords COVID-19 infection ; RNA ; Severe acute respiratory syndrome coronavirus 2 ; decision support systems ; health services ; infrastructure ; pandemic ; people ; regression analysis ; uncertainty ; vaccines ; viruses
    Language English
    Dates of publication 2021-05
    Size p. 1001-1018.
    Publishing place John Wiley & Sons, Ltd
    Document type Article
    Note NAL-AP-2-clean ; JOURNAL ARTICLE
    ZDB-ID 2414822-2
    ISSN 1865-1682 ; 1865-1674
    ISSN (online) 1865-1682
    ISSN 1865-1674
    DOI 10.1111/tbed.13764
    Database NAL-Catalogue (AGRICOLA)

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  4. Article: Understanding the intention to use mobile shopping applications and its influence on price sensitivity

    Natarajan, Thamaraiselvan / Balasubramanian, Senthil Arasu / Kasilingam, Dharun Lingam

    Journal of retailing and consumer services Vol. 37 , p. 8-22

    2017  Volume 37, Page(s) 8–22

    Author's details Thamaraiselvan Natarajan, Senthil Arasu Balasubramanian, Dharun Lingam Kasilingam
    Keywords Mobile shopping applications ; Technology Acceptance Model (TAM) ; Diffusion of Innovations (DOI) ; Price sensitivity ; Personal innovativeness ; Perceived risk
    Language English
    Publisher Elsevier
    Publishing place Amsterdam [u.a.]
    Document type Article
    ZDB-ID 1204385-0
    ISSN 0969-6989
    Database ECONomics Information System

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  5. Article: Systematic literature review on novel corona virus SARS-CoV-2: a threat to human era.

    Rajendran, Dinesh Kumar / Rajagopal, Varthini / Alagumanian, S / Santhosh Kumar, T / Sathiya Prabhakaran, S P / Kasilingam, Dharun

    Virusdisease

    2020  Volume 31, Issue 2, Page(s) 161–173

    Abstract: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the seventh-generation coronavirus family causing viral pandemic coronavirus disease (COVID-19) across globe affecting millions of people. The objectives of this study are to (1) identify ... ...

    Abstract Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the seventh-generation coronavirus family causing viral pandemic coronavirus disease (COVID-19) across globe affecting millions of people. The objectives of this study are to (1) identify the major research themes in COVID-19 literature, (2) determine the origin, symptoms and modes of transmission of COVID, (3) recommend the intervention and mitigation strategies adopted by the Governments globally against the spread of COVID-19 and the traumatization among the public? and (4) study the possible drugs/treatment plans against COVID-19. A systematic literature review and comprehensive analysis of 38 research articles on COVID-19 are conducted. An integrated Research focus parallel-ship network and keyword co-occurrence analysis are carried out to visualize the three research concepts in COVID-19 literature. Some of our observations include: (1) as SARS-CoV-2's RNA matches ~ 96% to SARS-CoV, it is assumed to be transmitted from the bats. (2) The common symptoms are high fever, dry cough, fatigue, sputum production, shortness of breath, diarrhoea etc. (3) A lockdown across 180 affected counties for more than a month with social-distancing and the precautions taken in SARS and MERS are recommended by the Governments. (4) Researchers' claim that nutrition and immunity enhancers and treatment plans such as arbidol, lopinavir/ritonavir, convalescent plasma and mesenchymal stem cells and drugs including remdesivir, hydroxychloroquine, azithromycin and favipiravir are effective against COVID-19. This complied report serves as guide to help the administrators, researchers and the medical officers to adopt recommended intervention strategies and the optimal treatment/drug against COVID-19.
    Keywords covid19
    Language English
    Publishing date 2020-06-11
    Publishing country India
    Document type Journal Article ; Review
    ZDB-ID 2846993-8
    ISSN 2347-3517 ; 2347-3584
    ISSN (online) 2347-3517
    ISSN 2347-3584
    DOI 10.1007/s13337-020-00604-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Exploring the growth of COVID-19 cases using exponential modelling across 42 countries and predicting signs of early containment using machine learning.

    Kasilingam, Dharun / Sathiya Prabhakaran, Sakthivel Puvaneswaran / Rajendran, Dinesh Kumar / Rajagopal, Varthini / Santhosh Kumar, Thangaraj / Soundararaj, Ajitha

    Transboundary and emerging diseases

    2020  Volume 68, Issue 3, Page(s) 1001–1018

    Abstract: The coronavirus disease 2019 (COVID-19) pandemic spread by the single-stranded RNA severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) belongs to the seventh generation of the coronavirus family. Following an unusual replication mechanism, its ... ...

    Abstract The coronavirus disease 2019 (COVID-19) pandemic spread by the single-stranded RNA severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) belongs to the seventh generation of the coronavirus family. Following an unusual replication mechanism, its extreme ease of transmissivity has put many countries under lockdown. With the uncertainty of developing a cure/vaccine for the infection in the near future, the onus currently lies on healthcare infrastructure, policies, government activities, and behaviour of the people to contain the virus. This research uses exponential growth modelling studies to understand the spreading patterns of SARS-CoV-2 and identifies countries that showed early signs of containment until March 26, 2020. Predictive supervised machine learning models are built using infrastructure, environment, policies, and infection-related independent variables to predict early containment. COVID-19 infection data across 42 countries are used. Logistic regression results show a positive significant relationship between healthcare infrastructure and lockdown policies, and signs of early containment. Machine learning models based on logistic regression, decision tree, random forest, and support vector machines are developed and show accuracies between 76.2% and 92.9% to predict early signs of infection containment. Other policies and the decisions taken by countries to contain the infection are also discussed.
    MeSH term(s) Animals ; COVID-19/epidemiology ; Communicable Disease Control/statistics & numerical data ; Humans ; Machine Learning ; Models, Biological ; Pandemics ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-09-17
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2414822-2
    ISSN 1865-1682 ; 1865-1674
    ISSN (online) 1865-1682
    ISSN 1865-1674
    DOI 10.1111/tbed.13764
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: The influence of audience characteristics on the effectiveness of brand placement memory

    Natarajan, Thamaraiselvan / Balasubramaniam, Senthil Arasu / Jublee, Daniel Inbaraj / Kasilingam, Dharun Lingam / Stephen, Gladys

    Journal of retailing and consumer services Vol. 44 , p. 134-149

    2018  Volume 44, Page(s) 134–149

    Author's details Thamaraiselvan Natarajan, Senthil Arasu Balasubramaniam, Gladys Stephen, Daniel Inbaraj Jublee, Dharun Lingam Kasilingam
    Keywords Brand placement ; Social cognitive theory ; Identification with character ; Audience characteristics ; Cognitive and emotional involvement ; Bollywood movies
    Language English
    Publisher Elsevier
    Publishing place Amsterdam [u.a.]
    Document type Article
    ZDB-ID 1204385-0
    ISSN 0969-6989
    Database ECONomics Information System

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  8. Article ; Online: Systematic literature review on novel corona virus SARS-CoV-2

    Rajendran, Dinesh Kumar / Rajagopal, Varthini / Alagumanian, S. / Santhosh Kumar, T. / Sathiya Prabhakaran, S. P. / Kasilingam, Dharun

    VirusDisease

    a threat to human era

    2020  Volume 31, Issue 2, Page(s) 161–173

    Keywords Virology ; Infectious Diseases ; covid19
    Language English
    Publisher Springer Science and Business Media LLC
    Publishing country us
    Document type Article ; Online
    ZDB-ID 2846993-8
    ISSN 2347-3517 ; 2347-3584
    ISSN (online) 2347-3517
    ISSN 2347-3584
    DOI 10.1007/s13337-020-00604-z
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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    Order via subito

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  9. Article: Systematic literature review on novel corona virus SARS-CoV-2: a threat to human era

    Rajendran, Dinesh Kumar / Rajagopal, Varthini / Alagumanian, S / Santhosh Kumar, T / Sathiya Prabhakaran, S. P / Kasilingam, Dharun

    Virusdisease. 2020 June, v. 31, no. 2

    2020  

    Abstract: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the seventh-generation coronavirus family causing viral pandemic coronavirus disease (COVID-19) across globe affecting millions of people. The objectives of this study are to (1) identify ... ...

    Abstract Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the seventh-generation coronavirus family causing viral pandemic coronavirus disease (COVID-19) across globe affecting millions of people. The objectives of this study are to (1) identify the major research themes in COVID-19 literature, (2) determine the origin, symptoms and modes of transmission of COVID, (3) recommend the intervention and mitigation strategies adopted by the Governments globally against the spread of COVID-19 and the traumatization among the public? and (4) study the possible drugs/treatment plans against COVID-19. A systematic literature review and comprehensive analysis of 38 research articles on COVID-19 are conducted. An integrated Research focus parallel-ship network and keyword co-occurrence analysis are carried out to visualize the three research concepts in COVID-19 literature. Some of our observations include: (1) as SARS-CoV-2’s RNA matches ~ 96% to SARS-CoV, it is assumed to be transmitted from the bats. (2) The common symptoms are high fever, dry cough, fatigue, sputum production, shortness of breath, diarrhoea etc. (3) A lockdown across 180 affected counties for more than a month with social-distancing and the precautions taken in SARS and MERS are recommended by the Governments. (4) Researchers’ claim that nutrition and immunity enhancers and treatment plans such as arbidol, lopinavir/ritonavir, convalescent plasma and mesenchymal stem cells and drugs including remdesivir, hydroxychloroquine, azithromycin and favipiravir are effective against COVID-19. This complied report serves as guide to help the administrators, researchers and the medical officers to adopt recommended intervention strategies and the optimal treatment/drug against COVID-19.
    Keywords COVID-19 infection ; Chiroptera ; RNA ; Severe acute respiratory syndrome coronavirus ; Severe acute respiratory syndrome coronavirus 2 ; azithromycin ; cough ; diarrhea ; dyspnea ; fever ; humans ; immunity ; mesenchymal stromal cells ; nutrition ; pandemic ; systematic review ; viruses
    Language English
    Dates of publication 2020-06
    Size p. 161-173.
    Publishing place Springer India
    Document type Article
    Note Review
    ZDB-ID 2846993-8
    ISSN 2347-3517 ; 2347-3584
    ISSN (online) 2347-3517
    ISSN 2347-3584
    DOI 10.1007/s13337-020-00604-z
    Database NAL-Catalogue (AGRICOLA)

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  10. Article ; Online: Exploring the growth of COVID‐19 cases using exponential modelling across 42 countries and predicting signs of early containment using machine learning

    Kasilingam, Dharun / Sathiya Prabhakaran, Sakthivel Puvaneswaran / Rajendran, Dinesh Kumar / Rajagopal, Varthini / Santhosh Kumar, Thangaraj / Soundararaj, Ajitha

    Transboundary and Emerging Diseases ; ISSN 1865-1674 1865-1682

    2020  

    Keywords General Immunology and Microbiology ; General Veterinary ; General Medicine ; covid19
    Language English
    Publisher Wiley
    Publishing country us
    Document type Article ; Online
    DOI 10.1111/tbed.13764
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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