Attitude of Bottom of the Pyramid Consumers Towards Packaging-Influenced Purchase Decision: An Opinion Mining-Based Approach
Abstract Due to the different schools of thought, studying the consumption behavior of the bottom of the pyramid (BoP) has become a potential research topic. This study aims to explore the attitude of BoPs towards packaging influenced purchase (PIP) decision. The packaging, sometimes called the 5th...
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| Autor*in: |
Panda, Debadrita [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s), under exclusive licence to Indian Institute of Packaging 2021 |
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| Übergeordnetes Werk: |
Enthalten in: Journal of packaging technology and research - [Singapore] : Springer Singapore, 2017, 6(2021), 1 vom: 30. Nov., Seite 49-62 |
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| Übergeordnetes Werk: |
volume:6 ; year:2021 ; number:1 ; day:30 ; month:11 ; pages:49-62 |
| Links: |
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| DOI / URN: |
10.1007/s41783-021-00128-x |
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| Katalog-ID: |
SPR046386831 |
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| 520 | |a Abstract Due to the different schools of thought, studying the consumption behavior of the bottom of the pyramid (BoP) has become a potential research topic. This study aims to explore the attitude of BoPs towards packaging influenced purchase (PIP) decision. The packaging, sometimes called the 5th P of the marketing mix, plays a crucial part in the consumer behavior domain. The study is supposed to have significant managerial implications as it accounts for both urban and rural BoP consumers to capture their attitudes towards PIP. A state of India (i.e., West Bengal) selected for this study, successfully addresses the present research gap in the BoP domain. Opinion mining has been selected as a machine-learning-based technique to gain insight into the qualitative data collected from 100 BoP consumers. To validate the result, aspect-based sentiment analysis has been implemented. This study has successfully revealed BoP consumers’ attitude regarding making PIP-related decisions along with many other facts like ”who makes PIP decisions”, ”who influences PIP-related decisions”, ”which packaging attribute(s) mostly influence(s) PIP-related decisions” and so on. The comparative study between urban and rural BoP consumers reveals some interesting guidelines for the marketers. | ||
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| 700 | 1 | |a Saha, Rajarshi |4 aut | |
| 700 | 1 | |a Panigrahi, Prasanta K. |4 aut | |
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10.1007/s41783-021-00128-x doi (DE-627)SPR046386831 (SPR)s41783-021-00128-x-e DE-627 ger DE-627 rakwb eng Panda, Debadrita verfasserin (orcid)0000-0002-1834-6777 aut Attitude of Bottom of the Pyramid Consumers Towards Packaging-Influenced Purchase Decision: An Opinion Mining-Based Approach 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Indian Institute of Packaging 2021 Abstract Due to the different schools of thought, studying the consumption behavior of the bottom of the pyramid (BoP) has become a potential research topic. This study aims to explore the attitude of BoPs towards packaging influenced purchase (PIP) decision. The packaging, sometimes called the 5th P of the marketing mix, plays a crucial part in the consumer behavior domain. The study is supposed to have significant managerial implications as it accounts for both urban and rural BoP consumers to capture their attitudes towards PIP. A state of India (i.e., West Bengal) selected for this study, successfully addresses the present research gap in the BoP domain. Opinion mining has been selected as a machine-learning-based technique to gain insight into the qualitative data collected from 100 BoP consumers. To validate the result, aspect-based sentiment analysis has been implemented. This study has successfully revealed BoP consumers’ attitude regarding making PIP-related decisions along with many other facts like ”who makes PIP decisions”, ”who influences PIP-related decisions”, ”which packaging attribute(s) mostly influence(s) PIP-related decisions” and so on. The comparative study between urban and rural BoP consumers reveals some interesting guidelines for the marketers. Sentiment analysis (dpeaa)DE-He213 Urban BoP (dpeaa)DE-He213 Rural BoP (dpeaa)DE-He213 Packaging Influenced Purchase (PIP) decision (dpeaa)DE-He213 West Bengal (dpeaa)DE-He213 Mukhopadhyay, Sabyasachi aut Saha, Rajarshi aut Panigrahi, Prasanta K. aut Enthalten in Journal of packaging technology and research [Singapore] : Springer Singapore, 2017 6(2021), 1 vom: 30. Nov., Seite 49-62 (DE-627)883870347 (DE-600)2890602-0 2520-1042 nnns volume:6 year:2021 number:1 day:30 month:11 pages:49-62 https://dx.doi.org/10.1007/s41783-021-00128-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 6 2021 1 30 11 49-62 |
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10.1007/s41783-021-00128-x doi (DE-627)SPR046386831 (SPR)s41783-021-00128-x-e DE-627 ger DE-627 rakwb eng Panda, Debadrita verfasserin (orcid)0000-0002-1834-6777 aut Attitude of Bottom of the Pyramid Consumers Towards Packaging-Influenced Purchase Decision: An Opinion Mining-Based Approach 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Indian Institute of Packaging 2021 Abstract Due to the different schools of thought, studying the consumption behavior of the bottom of the pyramid (BoP) has become a potential research topic. This study aims to explore the attitude of BoPs towards packaging influenced purchase (PIP) decision. The packaging, sometimes called the 5th P of the marketing mix, plays a crucial part in the consumer behavior domain. The study is supposed to have significant managerial implications as it accounts for both urban and rural BoP consumers to capture their attitudes towards PIP. A state of India (i.e., West Bengal) selected for this study, successfully addresses the present research gap in the BoP domain. Opinion mining has been selected as a machine-learning-based technique to gain insight into the qualitative data collected from 100 BoP consumers. To validate the result, aspect-based sentiment analysis has been implemented. This study has successfully revealed BoP consumers’ attitude regarding making PIP-related decisions along with many other facts like ”who makes PIP decisions”, ”who influences PIP-related decisions”, ”which packaging attribute(s) mostly influence(s) PIP-related decisions” and so on. The comparative study between urban and rural BoP consumers reveals some interesting guidelines for the marketers. Sentiment analysis (dpeaa)DE-He213 Urban BoP (dpeaa)DE-He213 Rural BoP (dpeaa)DE-He213 Packaging Influenced Purchase (PIP) decision (dpeaa)DE-He213 West Bengal (dpeaa)DE-He213 Mukhopadhyay, Sabyasachi aut Saha, Rajarshi aut Panigrahi, Prasanta K. aut Enthalten in Journal of packaging technology and research [Singapore] : Springer Singapore, 2017 6(2021), 1 vom: 30. Nov., Seite 49-62 (DE-627)883870347 (DE-600)2890602-0 2520-1042 nnns volume:6 year:2021 number:1 day:30 month:11 pages:49-62 https://dx.doi.org/10.1007/s41783-021-00128-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 6 2021 1 30 11 49-62 |
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10.1007/s41783-021-00128-x doi (DE-627)SPR046386831 (SPR)s41783-021-00128-x-e DE-627 ger DE-627 rakwb eng Panda, Debadrita verfasserin (orcid)0000-0002-1834-6777 aut Attitude of Bottom of the Pyramid Consumers Towards Packaging-Influenced Purchase Decision: An Opinion Mining-Based Approach 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Indian Institute of Packaging 2021 Abstract Due to the different schools of thought, studying the consumption behavior of the bottom of the pyramid (BoP) has become a potential research topic. This study aims to explore the attitude of BoPs towards packaging influenced purchase (PIP) decision. The packaging, sometimes called the 5th P of the marketing mix, plays a crucial part in the consumer behavior domain. The study is supposed to have significant managerial implications as it accounts for both urban and rural BoP consumers to capture their attitudes towards PIP. A state of India (i.e., West Bengal) selected for this study, successfully addresses the present research gap in the BoP domain. Opinion mining has been selected as a machine-learning-based technique to gain insight into the qualitative data collected from 100 BoP consumers. To validate the result, aspect-based sentiment analysis has been implemented. This study has successfully revealed BoP consumers’ attitude regarding making PIP-related decisions along with many other facts like ”who makes PIP decisions”, ”who influences PIP-related decisions”, ”which packaging attribute(s) mostly influence(s) PIP-related decisions” and so on. The comparative study between urban and rural BoP consumers reveals some interesting guidelines for the marketers. Sentiment analysis (dpeaa)DE-He213 Urban BoP (dpeaa)DE-He213 Rural BoP (dpeaa)DE-He213 Packaging Influenced Purchase (PIP) decision (dpeaa)DE-He213 West Bengal (dpeaa)DE-He213 Mukhopadhyay, Sabyasachi aut Saha, Rajarshi aut Panigrahi, Prasanta K. aut Enthalten in Journal of packaging technology and research [Singapore] : Springer Singapore, 2017 6(2021), 1 vom: 30. Nov., Seite 49-62 (DE-627)883870347 (DE-600)2890602-0 2520-1042 nnns volume:6 year:2021 number:1 day:30 month:11 pages:49-62 https://dx.doi.org/10.1007/s41783-021-00128-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 6 2021 1 30 11 49-62 |
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10.1007/s41783-021-00128-x doi (DE-627)SPR046386831 (SPR)s41783-021-00128-x-e DE-627 ger DE-627 rakwb eng Panda, Debadrita verfasserin (orcid)0000-0002-1834-6777 aut Attitude of Bottom of the Pyramid Consumers Towards Packaging-Influenced Purchase Decision: An Opinion Mining-Based Approach 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Indian Institute of Packaging 2021 Abstract Due to the different schools of thought, studying the consumption behavior of the bottom of the pyramid (BoP) has become a potential research topic. This study aims to explore the attitude of BoPs towards packaging influenced purchase (PIP) decision. The packaging, sometimes called the 5th P of the marketing mix, plays a crucial part in the consumer behavior domain. The study is supposed to have significant managerial implications as it accounts for both urban and rural BoP consumers to capture their attitudes towards PIP. A state of India (i.e., West Bengal) selected for this study, successfully addresses the present research gap in the BoP domain. Opinion mining has been selected as a machine-learning-based technique to gain insight into the qualitative data collected from 100 BoP consumers. To validate the result, aspect-based sentiment analysis has been implemented. This study has successfully revealed BoP consumers’ attitude regarding making PIP-related decisions along with many other facts like ”who makes PIP decisions”, ”who influences PIP-related decisions”, ”which packaging attribute(s) mostly influence(s) PIP-related decisions” and so on. The comparative study between urban and rural BoP consumers reveals some interesting guidelines for the marketers. Sentiment analysis (dpeaa)DE-He213 Urban BoP (dpeaa)DE-He213 Rural BoP (dpeaa)DE-He213 Packaging Influenced Purchase (PIP) decision (dpeaa)DE-He213 West Bengal (dpeaa)DE-He213 Mukhopadhyay, Sabyasachi aut Saha, Rajarshi aut Panigrahi, Prasanta K. aut Enthalten in Journal of packaging technology and research [Singapore] : Springer Singapore, 2017 6(2021), 1 vom: 30. Nov., Seite 49-62 (DE-627)883870347 (DE-600)2890602-0 2520-1042 nnns volume:6 year:2021 number:1 day:30 month:11 pages:49-62 https://dx.doi.org/10.1007/s41783-021-00128-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 6 2021 1 30 11 49-62 |
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10.1007/s41783-021-00128-x doi (DE-627)SPR046386831 (SPR)s41783-021-00128-x-e DE-627 ger DE-627 rakwb eng Panda, Debadrita verfasserin (orcid)0000-0002-1834-6777 aut Attitude of Bottom of the Pyramid Consumers Towards Packaging-Influenced Purchase Decision: An Opinion Mining-Based Approach 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Indian Institute of Packaging 2021 Abstract Due to the different schools of thought, studying the consumption behavior of the bottom of the pyramid (BoP) has become a potential research topic. This study aims to explore the attitude of BoPs towards packaging influenced purchase (PIP) decision. The packaging, sometimes called the 5th P of the marketing mix, plays a crucial part in the consumer behavior domain. The study is supposed to have significant managerial implications as it accounts for both urban and rural BoP consumers to capture their attitudes towards PIP. A state of India (i.e., West Bengal) selected for this study, successfully addresses the present research gap in the BoP domain. Opinion mining has been selected as a machine-learning-based technique to gain insight into the qualitative data collected from 100 BoP consumers. To validate the result, aspect-based sentiment analysis has been implemented. This study has successfully revealed BoP consumers’ attitude regarding making PIP-related decisions along with many other facts like ”who makes PIP decisions”, ”who influences PIP-related decisions”, ”which packaging attribute(s) mostly influence(s) PIP-related decisions” and so on. The comparative study between urban and rural BoP consumers reveals some interesting guidelines for the marketers. Sentiment analysis (dpeaa)DE-He213 Urban BoP (dpeaa)DE-He213 Rural BoP (dpeaa)DE-He213 Packaging Influenced Purchase (PIP) decision (dpeaa)DE-He213 West Bengal (dpeaa)DE-He213 Mukhopadhyay, Sabyasachi aut Saha, Rajarshi aut Panigrahi, Prasanta K. aut Enthalten in Journal of packaging technology and research [Singapore] : Springer Singapore, 2017 6(2021), 1 vom: 30. Nov., Seite 49-62 (DE-627)883870347 (DE-600)2890602-0 2520-1042 nnns volume:6 year:2021 number:1 day:30 month:11 pages:49-62 https://dx.doi.org/10.1007/s41783-021-00128-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 6 2021 1 30 11 49-62 |
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Panda, Debadrita @@aut@@ Mukhopadhyay, Sabyasachi @@aut@@ Saha, Rajarshi @@aut@@ Panigrahi, Prasanta K. @@aut@@ |
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This study aims to explore the attitude of BoPs towards packaging influenced purchase (PIP) decision. The packaging, sometimes called the 5th P of the marketing mix, plays a crucial part in the consumer behavior domain. The study is supposed to have significant managerial implications as it accounts for both urban and rural BoP consumers to capture their attitudes towards PIP. A state of India (i.e., West Bengal) selected for this study, successfully addresses the present research gap in the BoP domain. Opinion mining has been selected as a machine-learning-based technique to gain insight into the qualitative data collected from 100 BoP consumers. To validate the result, aspect-based sentiment analysis has been implemented. This study has successfully revealed BoP consumers’ attitude regarding making PIP-related decisions along with many other facts like ”who makes PIP decisions”, ”who influences PIP-related decisions”, ”which packaging attribute(s) mostly influence(s) PIP-related decisions” and so on. 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Panda, Debadrita |
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Panda, Debadrita misc Sentiment analysis misc Urban BoP misc Rural BoP misc Packaging Influenced Purchase (PIP) decision misc West Bengal Attitude of Bottom of the Pyramid Consumers Towards Packaging-Influenced Purchase Decision: An Opinion Mining-Based Approach |
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Attitude of Bottom of the Pyramid Consumers Towards Packaging-Influenced Purchase Decision: An Opinion Mining-Based Approach Sentiment analysis (dpeaa)DE-He213 Urban BoP (dpeaa)DE-He213 Rural BoP (dpeaa)DE-He213 Packaging Influenced Purchase (PIP) decision (dpeaa)DE-He213 West Bengal (dpeaa)DE-He213 |
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attitude of bottom of the pyramid consumers towards packaging-influenced purchase decision: an opinion mining-based approach |
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Attitude of Bottom of the Pyramid Consumers Towards Packaging-Influenced Purchase Decision: An Opinion Mining-Based Approach |
| abstract |
Abstract Due to the different schools of thought, studying the consumption behavior of the bottom of the pyramid (BoP) has become a potential research topic. This study aims to explore the attitude of BoPs towards packaging influenced purchase (PIP) decision. The packaging, sometimes called the 5th P of the marketing mix, plays a crucial part in the consumer behavior domain. The study is supposed to have significant managerial implications as it accounts for both urban and rural BoP consumers to capture their attitudes towards PIP. A state of India (i.e., West Bengal) selected for this study, successfully addresses the present research gap in the BoP domain. Opinion mining has been selected as a machine-learning-based technique to gain insight into the qualitative data collected from 100 BoP consumers. To validate the result, aspect-based sentiment analysis has been implemented. This study has successfully revealed BoP consumers’ attitude regarding making PIP-related decisions along with many other facts like ”who makes PIP decisions”, ”who influences PIP-related decisions”, ”which packaging attribute(s) mostly influence(s) PIP-related decisions” and so on. The comparative study between urban and rural BoP consumers reveals some interesting guidelines for the marketers. © The Author(s), under exclusive licence to Indian Institute of Packaging 2021 |
| abstractGer |
Abstract Due to the different schools of thought, studying the consumption behavior of the bottom of the pyramid (BoP) has become a potential research topic. This study aims to explore the attitude of BoPs towards packaging influenced purchase (PIP) decision. The packaging, sometimes called the 5th P of the marketing mix, plays a crucial part in the consumer behavior domain. The study is supposed to have significant managerial implications as it accounts for both urban and rural BoP consumers to capture their attitudes towards PIP. A state of India (i.e., West Bengal) selected for this study, successfully addresses the present research gap in the BoP domain. Opinion mining has been selected as a machine-learning-based technique to gain insight into the qualitative data collected from 100 BoP consumers. To validate the result, aspect-based sentiment analysis has been implemented. This study has successfully revealed BoP consumers’ attitude regarding making PIP-related decisions along with many other facts like ”who makes PIP decisions”, ”who influences PIP-related decisions”, ”which packaging attribute(s) mostly influence(s) PIP-related decisions” and so on. The comparative study between urban and rural BoP consumers reveals some interesting guidelines for the marketers. © The Author(s), under exclusive licence to Indian Institute of Packaging 2021 |
| abstract_unstemmed |
Abstract Due to the different schools of thought, studying the consumption behavior of the bottom of the pyramid (BoP) has become a potential research topic. This study aims to explore the attitude of BoPs towards packaging influenced purchase (PIP) decision. The packaging, sometimes called the 5th P of the marketing mix, plays a crucial part in the consumer behavior domain. The study is supposed to have significant managerial implications as it accounts for both urban and rural BoP consumers to capture their attitudes towards PIP. A state of India (i.e., West Bengal) selected for this study, successfully addresses the present research gap in the BoP domain. Opinion mining has been selected as a machine-learning-based technique to gain insight into the qualitative data collected from 100 BoP consumers. To validate the result, aspect-based sentiment analysis has been implemented. This study has successfully revealed BoP consumers’ attitude regarding making PIP-related decisions along with many other facts like ”who makes PIP decisions”, ”who influences PIP-related decisions”, ”which packaging attribute(s) mostly influence(s) PIP-related decisions” and so on. The comparative study between urban and rural BoP consumers reveals some interesting guidelines for the marketers. © The Author(s), under exclusive licence to Indian Institute of Packaging 2021 |
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Attitude of Bottom of the Pyramid Consumers Towards Packaging-Influenced Purchase Decision: An Opinion Mining-Based Approach |
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https://dx.doi.org/10.1007/s41783-021-00128-x |
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Mukhopadhyay, Sabyasachi Saha, Rajarshi Panigrahi, Prasanta K. |
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10.1007/s41783-021-00128-x |
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2024-07-03T22:13:38.747Z |
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| score |
7.4013243 |