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  1. Article: Paternalistic Leadership and Job Embeddedness With Relation to Innovative Work Behaviors and Employee Job Performance: The Moderating Effect of Environmental Dynamism.

    Yamin, Mohammad Ali

    Frontiers in psychology

    2022  Volume 13, Page(s) 759088

    Abstract: The current study strives to examine the determinants of employee innovative work behavior and job performance. Therefore, an integrated research model is developed with the help of paternalistic leadership style and job embeddedness theory to ... ...

    Abstract The current study strives to examine the determinants of employee innovative work behavior and job performance. Therefore, an integrated research model is developed with the help of paternalistic leadership style and job embeddedness theory to investigate employee behavior toward innovative work behavior. The research model is extended with the moderating effect of environmental dynamism between the relationship of innovative work behavior and employee job performance. Data were collected from 411 employees working in small medium enterprises. For inferential analysis, the structural equation modeling (SEM) technique is used. Results of the structural equation modeling revealed that altogether paternalistic leadership style and factors underpinning job embeddedness theory have explained 52.1% of the variance in employee innovate work behavior. The findings of this research suggest that managers and policy makers should focus on benevolent leadership, moral leadership, and on-the-job embeddedness to boost employee job performance and innovative work behavior.
    Language English
    Publishing date 2022-03-25
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2022.759088
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Counting the cost of COVID-19.

    Yamin, Mohammad

    International journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management

    2020  Volume 12, Issue 2, Page(s) 311–317

    Abstract: Coronavirus disease 2019 (COVID-19) is the name given by the World Health Organization (WHO) to the highly contagious and infectious disease caused by the Novel Corona Virus or SARS-CoV-2, which was first reported on 31 December 2019 in Wuhan city of the ...

    Abstract Coronavirus disease 2019 (COVID-19) is the name given by the World Health Organization (WHO) to the highly contagious and infectious disease caused by the Novel Corona Virus or SARS-CoV-2, which was first reported on 31 December 2019 in Wuhan city of the capital of China's Hubei province. Due to the rapid increase in the number of infections worldwide, the WHO in March 2020, declared COVID-19 as a pandemic. Historically, first coronavirus had surfaced in 1965 with symptoms of common cold. Since then five different strands of this virus have emerged, most lethal of them was the Severe Acute Respiratory Syndrome (SARS), which infected about eight thousand people, killing ten percent of them. The COVID-19 is not the most deadly pandemic world has ever witnessed as the Spanish influenza pandemic, during 1918-19, killed more than fifty million people. Indeed COVID-19 has turned out to be the most lethal of all coronaviruses as it has infected at least three million people killing more than two hundred thousands of them in the first 4 months of its spread. Many politicians and social scientists have dubbed the depression, being caused by COVID-19, worse than that caused by the Second World War. In this article, we shall analyze economic, social, cultural, educational and political impact of the COVID-19.
    Keywords covid19
    Language English
    Publishing date 2020-05-13
    Publishing country Singapore
    Document type Journal Article
    ZDB-ID 2878562-9
    ISSN 2511-2112 ; 2511-2104
    ISSN (online) 2511-2112
    ISSN 2511-2104
    DOI 10.1007/s41870-020-00466-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Information technologies of 21st century and their impact on the society.

    Yamin, Mohammad

    International journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management

    2019  Volume 11, Issue 4, Page(s) 759–766

    Abstract: Twenty first century has witnessed emergence of some ground breaking information technologies that have revolutionised our way of life. The revolution began late in 20th century with the arrival of internet in 1995, which has given rise to methods, tools ...

    Abstract Twenty first century has witnessed emergence of some ground breaking information technologies that have revolutionised our way of life. The revolution began late in 20th century with the arrival of internet in 1995, which has given rise to methods, tools and gadgets having astonishing applications in all academic disciplines and business sectors. In this article we shall provide a design of a 'spider robot' which may be used for efficient cleaning of deadly viruses. In addition, we shall examine some of the emerging technologies which are causing remarkable breakthroughs and improvements which were inconceivable earlier. In particular we shall look at the technologies and tools associated with the Internet of Things (IoT), Blockchain, Artificial Intelligence, Sensor Networks and Social Media. We shall analyse capabilities and business value of these technologies and tools. As we recognise, most technologies, after completing their commercial journey, are utilised by the business world in physical as well as in the virtual marketing environments. We shall also look at the social impact of some of these technologies and tools.
    Keywords covid19
    Language English
    Publishing date 2019-08-16
    Publishing country Singapore
    Document type Journal Article
    ZDB-ID 2878562-9
    ISSN 2511-2112 ; 2511-2104
    ISSN (online) 2511-2112
    ISSN 2511-2104
    DOI 10.1007/s41870-019-00355-1
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  4. Article ; Online: Counting the cost of COVID-19

    Yamin, Mohammad

    International Journal of Information Technology

    2020  Volume 12, Issue 2, Page(s) 311–317

    Keywords covid19
    Language English
    Publisher Springer Science and Business Media LLC
    Publishing country us
    Document type Article ; Online
    ZDB-ID 2878562-9
    ISSN 2511-2112 ; 2511-2104
    ISSN (online) 2511-2112
    ISSN 2511-2104
    DOI 10.1007/s41870-020-00466-0
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: IT applications in healthcare management: a survey.

    Yamin, Mohammad

    International journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management

    2018  Volume 10, Issue 4, Page(s) 503–509

    Abstract: Healthcare management is currently undergoing substantial changes, and reshaping our perception of the medical field. One spectrum is that of the considerable changes that we see in surgical machines and equipment, and the way the procedures are ... ...

    Abstract Healthcare management is currently undergoing substantial changes, and reshaping our perception of the medical field. One spectrum is that of the considerable changes that we see in surgical machines and equipment, and the way the procedures are performed. Computing power, Internet and associated technologies are transforming surgical operations into model based procedures. The other spectrum is the management side of healthcare, which is equally critical to the medical profession. In particular, recent advances in the field of Information Technology (IT) is assisting in better management of health appointments and record management. With the proliferation of IT and management, data is now playing a vital role in diagnostics, drug administration and management of healthcare services. With the advancement in data processing, large amounts of medical data collected by medical centres and providers, can now be mined and analysed to assist in planning and making appropriate decisions. In this article, we shall provide an overview of the role of IT that have been reshaping the healthcare management, hospital, health profession and industry.
    Keywords covid19
    Language English
    Publishing date 2018-05-31
    Publishing country Singapore
    Document type Journal Article
    ZDB-ID 2878562-9
    ISSN 2511-2112 ; 2511-2104
    ISSN (online) 2511-2112
    ISSN 2511-2104
    DOI 10.1007/s41870-018-0203-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Managing crowds with technology: cases of Hajj and Kumbh Mela.

    Yamin, Mohammad

    International journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management

    2018  Volume 11, Issue 2, Page(s) 229–237

    Abstract: During the first 15 years of this century, seven thousand people have been crushed to death in stampedes. Many would argue that these fatalities could have been prevented by better control and management. Crowd management today needs to minimise the ... ...

    Abstract During the first 15 years of this century, seven thousand people have been crushed to death in stampedes. Many would argue that these fatalities could have been prevented by better control and management. Crowd management today needs to minimise the chances of occurrence of stampedes, fires and other disasters and also to deal with the ongoing threat of terrorism and outbreak of communicable diseases like EBOLA, HIV Aids, Swine Influenza H1N1, H1N2, various strands of flu, Severe Acute Respiratory Syndrome (SARS) and Middle Eastern Respiratory Syndrome (MERS). These challenges have created a need for using all available resources, especially modern tools and technology, when dealing with crowds. Radio Frequency Identification (RFID), which is already benefiting many industrial and government organisations around the world, may be useful for scanning crowded locations and hence in helping to prevent overcrowding. Other wireless technologies should also be considered for possible use in crowded events. Ideally, some of the regular crowded event locations should be transformed into smart cities. In this article we shall discuss different kinds of crowds and technologies for their management. In particular, we shall analyse cases where wireless and mobile technologies can be utilised effectively. The Hajj, which has witnessed several stampedes, is chosen as the case study but most of our findings would be applicable in other events like the Kumbh Mela.
    Keywords covid19
    Language English
    Publishing date 2018-12-10
    Publishing country Singapore
    Document type Journal Article
    ZDB-ID 2878562-9
    ISSN 2511-2112 ; 2511-2104
    ISSN (online) 2511-2112
    ISSN 2511-2104
    DOI 10.1007/s41870-018-0266-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: A framework for vehicle quality evaluation based on interpretable machine learning.

    Alwadi, Mohammad / Chetty, Girija / Yamin, Mohammad

    International journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management

    2022  Volume 15, Issue 1, Page(s) 129–136

    Abstract: Ensuring high quality of a vehicle will increase the lifetime and customer experience, in addition to the maintenance problems, and it is important that there are objective scientific methods available, for evaluating the quality of the vehicle. In this ... ...

    Abstract Ensuring high quality of a vehicle will increase the lifetime and customer experience, in addition to the maintenance problems, and it is important that there are objective scientific methods available, for evaluating the quality of the vehicle. In this paper, we present a computational framework for evaluating the vehicle quality based on interpretable machine learning techniques. The validation of the proposed framework for a publicly available vehicle quality evaluation dataset has shown an objective machine learning based approach with improved interpretability and deep insight, by using several post-hoc model interpretability enhancement techniques.
    Language English
    Publishing date 2022-11-27
    Publishing country Singapore
    Document type Journal Article
    ZDB-ID 2878562-9
    ISSN 2511-2112 ; 2511-2104
    ISSN (online) 2511-2112
    ISSN 2511-2104
    DOI 10.1007/s41870-022-01121-6
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  8. Article: Counting the cost of COVID-19

    Yamin, Mohammad

    Int J Inf Technol

    Abstract: Coronavirus disease 2019 (COVID-19) is the name given by the World Health Organization (WHO) to the highly contagious and infectious disease caused by the Novel Corona Virus or SARS-CoV-2, which was first reported on 31 December 2019 in Wuhan city of the ...

    Abstract Coronavirus disease 2019 (COVID-19) is the name given by the World Health Organization (WHO) to the highly contagious and infectious disease caused by the Novel Corona Virus or SARS-CoV-2, which was first reported on 31 December 2019 in Wuhan city of the capital of China's Hubei province. Due to the rapid increase in the number of infections worldwide, the WHO in March 2020, declared COVID-19 as a pandemic. Historically, first coronavirus had surfaced in 1965 with symptoms of common cold. Since then five different strands of this virus have emerged, most lethal of them was the Severe Acute Respiratory Syndrome (SARS), which infected about eight thousand people, killing ten percent of them. The COVID-19 is not the most deadly pandemic world has ever witnessed as the Spanish influenza pandemic, during 1918-19, killed more than fifty million people. Indeed COVID-19 has turned out to be the most lethal of all coronaviruses as it has infected at least three million people killing more than two hundred thousands of them in the first 4 months of its spread. Many politicians and social scientists have dubbed the depression, being caused by COVID-19, worse than that caused by the Second World War. In this article, we shall analyze economic, social, cultural, educational and political impact of the COVID-19.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #833149
    Database COVID19

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  9. Article ; Online: Investigating the Drivers of Supply Chain Resilience in the Wake of the COVID-19 Pandemic

    Mohammad Ali Yamin

    Sustainability, Vol 13, Iss 11939, p

    Empirical Evidence from an Emerging Economy

    2021  Volume 11939

    Abstract: The COVID-19 pandemic has disrupted supply chain operations globally. Nevertheless, resilient firms have the capacity to combat an unprecedented situation with the right strategic approach. The current research has developed an integrated research model ... ...

    Abstract The COVID-19 pandemic has disrupted supply chain operations globally. Nevertheless, resilient firms have the capacity to combat an unprecedented situation with the right strategic approach. The current research has developed an integrated research model that combines factors such as supply chain intelligence, supply chain communication, leadership commitment, risk management orientation, supply chain capability and network complexity to investigate supply chain resilience. The research model of this study was empirically tested with 309 responses collected from supply chain managers. Results revealed that supply chain resilience is measured with supply chain intelligence, supply chain communication, leadership commitment, risk management orientation, supply chain capability and network complexity and demonstrated a substantial variance <math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mi>R</mi><mn>2</mn></msup></mrow></semantics></math> of 0.548% towards supply chain resilience. Practically, this study suggests that supply chain managers should focus on factors such as big data analytics, risk management orientation,1 supply chain communication and leadership commitment to enhance supply chain resilience and sustainable supply chain performance.
    Keywords supply chain resilience ; supply chain intelligence ; communication ; leadership commitment ; big data analytics ; sustainable supply chain performance ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Language English
    Publishing date 2021-10-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Exploring the performance and explainability of fine-tuned BERT models for neuroradiology protocol assignment.

    Talebi, Salmonn / Tong, Elizabeth / Li, Anna / Yamin, Ghiam / Zaharchuk, Greg / Mofrad, Mohammad R K

    BMC medical informatics and decision making

    2024  Volume 24, Issue 1, Page(s) 40

    Abstract: Background: Deep learning has demonstrated significant advancements across various domains. However, its implementation in specialized areas, such as medical settings, remains approached with caution. In these high-stake environments, understanding the ... ...

    Abstract Background: Deep learning has demonstrated significant advancements across various domains. However, its implementation in specialized areas, such as medical settings, remains approached with caution. In these high-stake environments, understanding the model's decision-making process is critical. This study assesses the performance of different pretrained Bidirectional Encoder Representations from Transformers (BERT) models and delves into understanding its decision-making within the context of medical image protocol assignment.
    Methods: Four different pre-trained BERT models (BERT, BioBERT, ClinicalBERT, RoBERTa) were fine-tuned for the medical image protocol classification task. Word importance was measured by attributing the classification output to every word using a gradient-based method. Subsequently, a trained radiologist reviewed the resulting word importance scores to assess the model's decision-making process relative to human reasoning.
    Results: The BERT model came close to human performance on our test set. The BERT model successfully identified relevant words indicative of the target protocol. Analysis of important words in misclassifications revealed potential systematic errors in the model.
    Conclusions: The BERT model shows promise in medical image protocol assignment by reaching near human level performance and identifying key words effectively. The detection of systematic errors paves the way for further refinements to enhance its safety and utility in clinical settings.
    MeSH term(s) Humans ; Problem Solving ; Natural Language Processing
    Language English
    Publishing date 2024-02-07
    Publishing country England
    Document type Journal Article
    ZDB-ID 2046490-3
    ISSN 1472-6947 ; 1472-6947
    ISSN (online) 1472-6947
    ISSN 1472-6947
    DOI 10.1186/s12911-024-02444-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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