Faculty Dr Sri Sourya Sri Harsha Rongala

Dr Sri Sourya Sri Harsha Rongala

Assistant Professor

Department of Management

Contact Details

sourya.r@srmap.edu.in

Office Location

Paari School of Business Management Faculty Dr Sri Sourya Sri Harsha Rongala

Education

2024
PhD
University of Hyderabad
India
2018
MBA
Andhra University
India
2015
BCom (Computers)
Andhra University
India

Personal Website

Experience

  • July 2023 to July 2024 – Assistant Professor – Siva Sivani Institute of Management, Kompally

Research Interest

Awards

  • 2020 – Junior Research Fellow – University Grants Commission

Memberships

Publications

  • Blending Work and Fun: Extracting the Bleisure Experiences from Indian Heritage Hotels

    Chittiprolu V., Rongala S.

    Book chapter, Unveiling Bleisure Travellers: Exploring Novel Dimensions for Enriching Social Consumer Engagement Using Big Data Analytics, 2025, DOI Link

    View abstract ⏷

    Business travellers spending some leisure time during their business trips is not a new phenomenon, but this aspect has grasped the attention of tourism practitioners in recent times owing to its consistent economic returns. Both hoteliers and destination managers are focusing on this segment of business travellers aspiring to have vivid leisure experiences too as a part of their business trip and have segmented them as 'bleisure travellers'. This scenario opened a lucrative and challenging market to hoteliers and travel companies pushing them to create unique service offerings to this segment. Handling bleisure travellers can be challenging owing to the dual-faced travel motive. For example, a bleisure traveller may have to attend a meeting for a whole day but doesn't want his family to miss out on the fun and excitement keeping them idle. These kinds of tricky instances put a lot of weight on the hoteliers and travel companies as they need to plan and deliver satisfactory experiences to the entire bleisure travel group. Exclusive study indicating satisfactory and dissatisfactory attributes of bleisure travellers is sparse till date. Current study tried to contribute to the literature by narrowing down the satisfactory and dissatisfactory attributes pertaining to bleisure travellers. Six thousand reviews of 35 Indian heritage were extracted from Tripadvisor. Reviews were scrapped using python. Data was analysed using LDA. Findings of this study indicate major implications for the hoteliers to improve and customise their service offerings.
  • Do all complain the same? Examining the role of luxury hotels reviewer attributes using text mining

    Ali A., Chittiprolu V., Rongala S., Bellamkonda R.S.

    Article, Consumer Behavior in Tourism and Hospitality, 2024, DOI Link

    View abstract ⏷

    Purpose: Although extant studies found the determinants of customer complaints in luxury hotels, comparison of complaint severity using reviewer characteristics (nationality, reviewer type and expertise) is limited. This study aims to identify the variation in customers’ complaint attributes among different customer categories. Design/methodology/approach: This study tried to address this gap by using structural topic modelling and text mining techniques to find the sentiment score, word count, complaints attributes and severity score. The research sample covers luxury hotels in India, and online review text and their associated data has been collected and analysed. Findings: The authors found that leisure customers wrote lengthier reviews and complained about the facility-related aspects (valet parking, entertainment and amenities) and food-related aspects (food variety, service and menu) while the business customers’ complaint severity score is more on salient aspects (room size, bathroom and staff related services). The international customers wrote lengthier reviews and complained more about the facility-related aspects (amenities, pick-up and entertainment) and core service offerings (stay experience, bathroom, dirtiness and complaint resolution). Whereas domestic customers complained more about stay-related aspects (food variety, quality, services, staff behaviour and stay experience). Also, this study used correlation analysis to find the dependencies between topics and uncovered underlying patterns, trends and associations, aiding in a deeper understanding and interpretation of the complaints. This study can help service providers tailor their services based on customer attributes to ensure maximum customer satisfaction. Originality/value: The findings of this study can enable hotel service providers to customise their services based on customer attributes to reduce dissatisfaction among customers and promote customer loyalty. The findings of this study can also be used to devise differential promotional strategies for different types of customers.

Patents

Projects

Scholars

Interests

  • Consumer Behaviour
  • Marketing Analytics
  • Services Marketing

Thought Leaderships

There are no Thought Leaderships associated with this faculty.

Top Achievements

Research Area

No research areas found for this faculty.

Recent Updates

No recent updates found.

Education
2015
BCom (Computers)
Andhra University
India
2018
MBA
Andhra University
India
2024
PhD
University of Hyderabad
India
Experience
  • July 2023 to July 2024 – Assistant Professor – Siva Sivani Institute of Management, Kompally
Research Interests
Awards & Fellowships
  • 2020 – Junior Research Fellow – University Grants Commission
Memberships
Publications
  • Blending Work and Fun: Extracting the Bleisure Experiences from Indian Heritage Hotels

    Chittiprolu V., Rongala S.

    Book chapter, Unveiling Bleisure Travellers: Exploring Novel Dimensions for Enriching Social Consumer Engagement Using Big Data Analytics, 2025, DOI Link

    View abstract ⏷

    Business travellers spending some leisure time during their business trips is not a new phenomenon, but this aspect has grasped the attention of tourism practitioners in recent times owing to its consistent economic returns. Both hoteliers and destination managers are focusing on this segment of business travellers aspiring to have vivid leisure experiences too as a part of their business trip and have segmented them as 'bleisure travellers'. This scenario opened a lucrative and challenging market to hoteliers and travel companies pushing them to create unique service offerings to this segment. Handling bleisure travellers can be challenging owing to the dual-faced travel motive. For example, a bleisure traveller may have to attend a meeting for a whole day but doesn't want his family to miss out on the fun and excitement keeping them idle. These kinds of tricky instances put a lot of weight on the hoteliers and travel companies as they need to plan and deliver satisfactory experiences to the entire bleisure travel group. Exclusive study indicating satisfactory and dissatisfactory attributes of bleisure travellers is sparse till date. Current study tried to contribute to the literature by narrowing down the satisfactory and dissatisfactory attributes pertaining to bleisure travellers. Six thousand reviews of 35 Indian heritage were extracted from Tripadvisor. Reviews were scrapped using python. Data was analysed using LDA. Findings of this study indicate major implications for the hoteliers to improve and customise their service offerings.
  • Do all complain the same? Examining the role of luxury hotels reviewer attributes using text mining

    Ali A., Chittiprolu V., Rongala S., Bellamkonda R.S.

    Article, Consumer Behavior in Tourism and Hospitality, 2024, DOI Link

    View abstract ⏷

    Purpose: Although extant studies found the determinants of customer complaints in luxury hotels, comparison of complaint severity using reviewer characteristics (nationality, reviewer type and expertise) is limited. This study aims to identify the variation in customers’ complaint attributes among different customer categories. Design/methodology/approach: This study tried to address this gap by using structural topic modelling and text mining techniques to find the sentiment score, word count, complaints attributes and severity score. The research sample covers luxury hotels in India, and online review text and their associated data has been collected and analysed. Findings: The authors found that leisure customers wrote lengthier reviews and complained about the facility-related aspects (valet parking, entertainment and amenities) and food-related aspects (food variety, service and menu) while the business customers’ complaint severity score is more on salient aspects (room size, bathroom and staff related services). The international customers wrote lengthier reviews and complained more about the facility-related aspects (amenities, pick-up and entertainment) and core service offerings (stay experience, bathroom, dirtiness and complaint resolution). Whereas domestic customers complained more about stay-related aspects (food variety, quality, services, staff behaviour and stay experience). Also, this study used correlation analysis to find the dependencies between topics and uncovered underlying patterns, trends and associations, aiding in a deeper understanding and interpretation of the complaints. This study can help service providers tailor their services based on customer attributes to ensure maximum customer satisfaction. Originality/value: The findings of this study can enable hotel service providers to customise their services based on customer attributes to reduce dissatisfaction among customers and promote customer loyalty. The findings of this study can also be used to devise differential promotional strategies for different types of customers.
Contact Details

sourya.r@srmap.edu.in

Scholars
Interests

  • Consumer Behaviour
  • Marketing Analytics
  • Services Marketing

Education
2015
BCom (Computers)
Andhra University
India
2018
MBA
Andhra University
India
2024
PhD
University of Hyderabad
India
Experience
  • July 2023 to July 2024 – Assistant Professor – Siva Sivani Institute of Management, Kompally
Research Interests
Awards & Fellowships
  • 2020 – Junior Research Fellow – University Grants Commission
Memberships
Publications
  • Blending Work and Fun: Extracting the Bleisure Experiences from Indian Heritage Hotels

    Chittiprolu V., Rongala S.

    Book chapter, Unveiling Bleisure Travellers: Exploring Novel Dimensions for Enriching Social Consumer Engagement Using Big Data Analytics, 2025, DOI Link

    View abstract ⏷

    Business travellers spending some leisure time during their business trips is not a new phenomenon, but this aspect has grasped the attention of tourism practitioners in recent times owing to its consistent economic returns. Both hoteliers and destination managers are focusing on this segment of business travellers aspiring to have vivid leisure experiences too as a part of their business trip and have segmented them as 'bleisure travellers'. This scenario opened a lucrative and challenging market to hoteliers and travel companies pushing them to create unique service offerings to this segment. Handling bleisure travellers can be challenging owing to the dual-faced travel motive. For example, a bleisure traveller may have to attend a meeting for a whole day but doesn't want his family to miss out on the fun and excitement keeping them idle. These kinds of tricky instances put a lot of weight on the hoteliers and travel companies as they need to plan and deliver satisfactory experiences to the entire bleisure travel group. Exclusive study indicating satisfactory and dissatisfactory attributes of bleisure travellers is sparse till date. Current study tried to contribute to the literature by narrowing down the satisfactory and dissatisfactory attributes pertaining to bleisure travellers. Six thousand reviews of 35 Indian heritage were extracted from Tripadvisor. Reviews were scrapped using python. Data was analysed using LDA. Findings of this study indicate major implications for the hoteliers to improve and customise their service offerings.
  • Do all complain the same? Examining the role of luxury hotels reviewer attributes using text mining

    Ali A., Chittiprolu V., Rongala S., Bellamkonda R.S.

    Article, Consumer Behavior in Tourism and Hospitality, 2024, DOI Link

    View abstract ⏷

    Purpose: Although extant studies found the determinants of customer complaints in luxury hotels, comparison of complaint severity using reviewer characteristics (nationality, reviewer type and expertise) is limited. This study aims to identify the variation in customers’ complaint attributes among different customer categories. Design/methodology/approach: This study tried to address this gap by using structural topic modelling and text mining techniques to find the sentiment score, word count, complaints attributes and severity score. The research sample covers luxury hotels in India, and online review text and their associated data has been collected and analysed. Findings: The authors found that leisure customers wrote lengthier reviews and complained about the facility-related aspects (valet parking, entertainment and amenities) and food-related aspects (food variety, service and menu) while the business customers’ complaint severity score is more on salient aspects (room size, bathroom and staff related services). The international customers wrote lengthier reviews and complained more about the facility-related aspects (amenities, pick-up and entertainment) and core service offerings (stay experience, bathroom, dirtiness and complaint resolution). Whereas domestic customers complained more about stay-related aspects (food variety, quality, services, staff behaviour and stay experience). Also, this study used correlation analysis to find the dependencies between topics and uncovered underlying patterns, trends and associations, aiding in a deeper understanding and interpretation of the complaints. This study can help service providers tailor their services based on customer attributes to ensure maximum customer satisfaction. Originality/value: The findings of this study can enable hotel service providers to customise their services based on customer attributes to reduce dissatisfaction among customers and promote customer loyalty. The findings of this study can also be used to devise differential promotional strategies for different types of customers.
Contact Details

sourya.r@srmap.edu.in

Scholars