Dr Subburaj Packiyam
Dr. P. Subburaj
Objective:
Aiming to leverage my academic and industry experience in a reputable educational institution to deliver quality education, mentor future leaders, and contribute to societal advancement through effective resource utilization.
Academic Experience:
Assistant Professor, Business Administration, Agurchand Manmull Jain College, Chennai (Oct 2021 - Present)
Assistant Professor, Business Administration, Guru Nanak College, Chennai (Jun 2015 - Oct 2021)
Assistant Professor, Business Administration, D.B. Jain College, Chennai (Jun 2012 - May 2015)
Teaching Management subjects for Distance Education at Annamalai University and University of Madras since 2012.
Industry Experience:
Territory Sales Officer, Cavinkare Pvt Ltd (Dairy), Tuticorin (Sep 2009 - May 2011)
Marketing Executive, Aachi Masala Foods Pvt Ltd, Chennai (Sep 2008 - Aug 2009)
Academic Qualifications:
Ph.D. in Marketing, University of Madras, Chennai (2016 - 2023)
M.Com., University of Madras (2017 - 2019)
MBA in Marketing, Manonmaniam Sundaranar University (2006 - 2008)
BBA, Manonmaniam Sundaranar University (2003 - 2006)
Published Work:
Books/Chapters:
E-commerce Principles (Aug 2023)
Intelligent Learning Paradigm and Student Empowerment (Sep 2024)
Patents: IoT-enabled Smart Waste Management System (Jul 2023)
Professional Involvement:
Editor, International Journal of Research in Human Resource Management (since 2024)
Question Paper Setter and Examiner for multiple institutions, including Pondicherry University, Stella Maris College, and The New College.
Subjects Taught:
Management Principles, Marketing, HR Management, Financial Accounting, International Trade, and more.
Published Research:
Various studies on consumer behavior, digital marketing, and management published in indexed journals.
Supervisors: Assistant Professor & Research Supervisor
Phone: +919865773026
Address: No. 16/7, New Colony 1st Street, Pallikaranai, Chennai - 600100
Contact: +91 9865773026 | [email protected]
Objective:
Aiming to leverage my academic and industry experience in a reputable educational institution to deliver quality education, mentor future leaders, and contribute to societal advancement through effective resource utilization.
Academic Experience:
Assistant Professor, Business Administration, Agurchand Manmull Jain College, Chennai (Oct 2021 - Present)
Assistant Professor, Business Administration, Guru Nanak College, Chennai (Jun 2015 - Oct 2021)
Assistant Professor, Business Administration, D.B. Jain College, Chennai (Jun 2012 - May 2015)
Teaching Management subjects for Distance Education at Annamalai University and University of Madras since 2012.
Industry Experience:
Territory Sales Officer, Cavinkare Pvt Ltd (Dairy), Tuticorin (Sep 2009 - May 2011)
Marketing Executive, Aachi Masala Foods Pvt Ltd, Chennai (Sep 2008 - Aug 2009)
Academic Qualifications:
Ph.D. in Marketing, University of Madras, Chennai (2016 - 2023)
M.Com., University of Madras (2017 - 2019)
MBA in Marketing, Manonmaniam Sundaranar University (2006 - 2008)
BBA, Manonmaniam Sundaranar University (2003 - 2006)
Published Work:
Books/Chapters:
E-commerce Principles (Aug 2023)
Intelligent Learning Paradigm and Student Empowerment (Sep 2024)
Patents: IoT-enabled Smart Waste Management System (Jul 2023)
Professional Involvement:
Editor, International Journal of Research in Human Resource Management (since 2024)
Question Paper Setter and Examiner for multiple institutions, including Pondicherry University, Stella Maris College, and The New College.
Subjects Taught:
Management Principles, Marketing, HR Management, Financial Accounting, International Trade, and more.
Published Research:
Various studies on consumer behavior, digital marketing, and management published in indexed journals.
Supervisors: Assistant Professor & Research Supervisor
Phone: +919865773026
Address: No. 16/7, New Colony 1st Street, Pallikaranai, Chennai - 600100
Contact: +91 9865773026 | [email protected]
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Papers by Dr Subburaj Packiyam
Finally, we construct a forecasting model using LSTM by combining structured financial data and unstructured financial text. We also run a comparative experiment with two methods: a CNN model or a single-layer neural network. The studies' findings show that, when employing simply text or financial data, the CNN or LSTM attention mechanism does not greatly improve the system's performance. But when the LSTM + CNN model uses both financial data and financial language, the F1 value soars to an astounding 85.29%. By significantly enhancing financial data and other textual indicators, this strategy finally produces the finest overall performance.
Keywords:
Long Short-Term Memory (LSTM), Convolutional Neural Network (CNN).
the brand. The brand quickly shifted from the conventional approach to this brand's relation. The relationships are
focused on the brand's psychological consumer culture or the connection between a person and its favorite brands.
More particularly, the study objective is to understand the attachment and outcomes of such an emotional
relationship wherein the consumers feel proud to be in a relationship with his/her brand. It also understands
exposure to the affective and cognitive antecedents and consequences that have influenced Brand loyalty and
premium. This paper's concept is based on a brief literature review about consumers' emotional attachment towards
the brand. Additionally, this study develops into mediating roles of the purchase situation. To this end, a survey
entailing a sample of N=220 consumers living in Chennai, India. The surveyed employed mediation analysis
techniques to assess a hypothesis size relationship between variables. This empirical data was analyzed and
interpreted with Structural Equation Modeling (SEM) using an AMOS 24.0. The results delineate that there is a
positive relationshipbetween consumer emotional attachments to brands.A connection among consumer emotional
factors such as loyalty, price premium and purchase situation was also partially mediated between affective and
cognitive factors. One focal factor would be to measure consumer emotional attachment's strength towards the
brand in terms of loyalty.
KEYWORDS:Consumer, Emotional Attachment, Affective, Cognitive, Brand Loyalty, Price Premium, Purchase
Situation.
Keywords: Consumer, Buying Behavior, Online Shopping, Product
descriptive research is to identify and compare the awareness of
sanitary workers towards the impacts of heavy workload on their
health. The study sampled 100 respondents from both multispeciality
and single speciality hospitals in Tirunelveli city of Tamil
Nadu, India using both judgement and convenience sampling
techniques. The primary data were collected using the schedule
method with the help of a questionnaire, which was translated to the
respondents in their mother language (Tamil). The secondary data
were collected from books, journals, and projects. The percentage
method has been applied to analyze the data. The results of the
research show that the perception of the respondents of both kinds
of organizations towards the effects - ‘tiredness; weight loss; and
stress, depression, panic, and irritation’ is the same - ‘I know
somewhat’; whereas, the perception of the respondents of both
kinds of organizations towards the effects, sleeping problem;
Diabetes mellitus; Hypertension; Cardiovascular, Respiratory, and
Stomach disorders; and Stress are same – ‘I know very less’. At the
same time, the perception of the respondents in both kinds of
organizations is the same: ‘I know very much’ towards the factor:
Getting the appearance of old age.
KEYWORDS: Awareness, impact, heavy workload, health, private
hospitals, Tirunelveli city
Nadu, are the focal points of these research projects. Farmers and farm workers generally work long
hours yet help the country financially. The GDP accounts for 16% of the overall GDP in a year. In
this research, the convenience sampling technique has been used. This sample consists of farmers
and agriculture cooli at Tirunelveli Taluk in Tirunelveli district. Of the 55 questionnaires distributed
to the farmers, 44 questionnaires were returned to the searcher for the purpose of the study. This
evidence suggests that India is primarily an agricultural nation. However, this development has
mostly benefited farmers in rural villages. Efforts to raise the standard of living for the masses
continue to face enormous obstacles. Most studies rely on subsistence farming and smallholder
agriculture for funding, indicating that agriculture remains the economic backbone. Many farmers
are psychologically unwell due to shifts in agricultural techniques and economic circumstances,
making farming a high-stress occupation. When farmers' economic situations worsen, it can lead to
emotional suffering.
Keywords: Farmer lifestyle, Agriculture, Minimum supporting price,
Finally, we construct a forecasting model using LSTM by combining structured financial data and unstructured financial text. We also run a comparative experiment with two methods: a CNN model or a single-layer neural network. The studies' findings show that, when employing simply text or financial data, the CNN or LSTM attention mechanism does not greatly improve the system's performance. But when the LSTM + CNN model uses both financial data and financial language, the F1 value soars to an astounding 85.29%. By significantly enhancing financial data and other textual indicators, this strategy finally produces the finest overall performance.
Keywords:
Long Short-Term Memory (LSTM), Convolutional Neural Network (CNN).
the brand. The brand quickly shifted from the conventional approach to this brand's relation. The relationships are
focused on the brand's psychological consumer culture or the connection between a person and its favorite brands.
More particularly, the study objective is to understand the attachment and outcomes of such an emotional
relationship wherein the consumers feel proud to be in a relationship with his/her brand. It also understands
exposure to the affective and cognitive antecedents and consequences that have influenced Brand loyalty and
premium. This paper's concept is based on a brief literature review about consumers' emotional attachment towards
the brand. Additionally, this study develops into mediating roles of the purchase situation. To this end, a survey
entailing a sample of N=220 consumers living in Chennai, India. The surveyed employed mediation analysis
techniques to assess a hypothesis size relationship between variables. This empirical data was analyzed and
interpreted with Structural Equation Modeling (SEM) using an AMOS 24.0. The results delineate that there is a
positive relationshipbetween consumer emotional attachments to brands.A connection among consumer emotional
factors such as loyalty, price premium and purchase situation was also partially mediated between affective and
cognitive factors. One focal factor would be to measure consumer emotional attachment's strength towards the
brand in terms of loyalty.
KEYWORDS:Consumer, Emotional Attachment, Affective, Cognitive, Brand Loyalty, Price Premium, Purchase
Situation.
Keywords: Consumer, Buying Behavior, Online Shopping, Product
descriptive research is to identify and compare the awareness of
sanitary workers towards the impacts of heavy workload on their
health. The study sampled 100 respondents from both multispeciality
and single speciality hospitals in Tirunelveli city of Tamil
Nadu, India using both judgement and convenience sampling
techniques. The primary data were collected using the schedule
method with the help of a questionnaire, which was translated to the
respondents in their mother language (Tamil). The secondary data
were collected from books, journals, and projects. The percentage
method has been applied to analyze the data. The results of the
research show that the perception of the respondents of both kinds
of organizations towards the effects - ‘tiredness; weight loss; and
stress, depression, panic, and irritation’ is the same - ‘I know
somewhat’; whereas, the perception of the respondents of both
kinds of organizations towards the effects, sleeping problem;
Diabetes mellitus; Hypertension; Cardiovascular, Respiratory, and
Stomach disorders; and Stress are same – ‘I know very less’. At the
same time, the perception of the respondents in both kinds of
organizations is the same: ‘I know very much’ towards the factor:
Getting the appearance of old age.
KEYWORDS: Awareness, impact, heavy workload, health, private
hospitals, Tirunelveli city
Nadu, are the focal points of these research projects. Farmers and farm workers generally work long
hours yet help the country financially. The GDP accounts for 16% of the overall GDP in a year. In
this research, the convenience sampling technique has been used. This sample consists of farmers
and agriculture cooli at Tirunelveli Taluk in Tirunelveli district. Of the 55 questionnaires distributed
to the farmers, 44 questionnaires were returned to the searcher for the purpose of the study. This
evidence suggests that India is primarily an agricultural nation. However, this development has
mostly benefited farmers in rural villages. Efforts to raise the standard of living for the masses
continue to face enormous obstacles. Most studies rely on subsistence farming and smallholder
agriculture for funding, indicating that agriculture remains the economic backbone. Many farmers
are psychologically unwell due to shifts in agricultural techniques and economic circumstances,
making farming a high-stress occupation. When farmers' economic situations worsen, it can lead to
emotional suffering.
Keywords: Farmer lifestyle, Agriculture, Minimum supporting price,