IMPACT OF DIFFERENT SOCIAL MEDIA CHANNELS ON ONLINE BUYING BEHAVIOR COMPARATIVE CASE STUDY OF UK WITH REFERENCE TO COVID19

http://dx.doi.org/10.31703/gssr.2023(VIII-IV).02      10.31703/gssr.2023(VIII-IV).02      Published : Dec 4
Authored by : Saif Aslam , Sufi Nouman Riaz , Maria Aslam

02 Pages : 15-27

References

  • Abdellahi, H., & Kobbane, A. (2020). Design and implementation of a social media based web application.
  • Addo, P. C., Jiaming, F., Kulbo, N. B., & Liangqiang, L., (2020). COVID‐19: fear appeal favoring purchase behavior towards personal protective equipment. The Service Industries Journal, 40(7‐8), pp.471‐490. https://doi.org/10.1080/02642069.2020.1751823
  • Aftab, R., Naveed, M., & Hanif, S. (2021). An analysis of Covid‐19 implications for SMEs in Pakistan. Journal of Chinese Economic and Foreign Trade Studies, 14(1), 74‐88. https://doi.org/10.1108/JCEFTS‐08‐2020‐0054
  • Ahmad, A. R., & Murad, H. R. (2020). The impact of social media on panic during the COVID‐19 pandemic in Iraqi Kurdistan: online questionnaire study. Journal of medical Internet research, 22(5), p.e19556. https://preprints.jmir.org/preprint/19556
  • Akar, E. (2021). Customers’ online purchase intentions and customer segmentation during the period of COVID‐19 pandemic. Journal of Internet Commerce, 20(3), 371‐401. https://doi.org/10.1080/15332861.2021.1927435
  • Barr, N. (2020). Economics of the welfare state. Oxford University Press, USA.
  • Bhat, B. A., Gull, S., & Jeelani, G. (2020). A study on COVID‐19 lockdown impact on food, agriculture, fisheries and precautionary measures to avoid COVID‐19 contamination. Galore International Journal of Applied Sciences and Humanities, 4(2), 8‐ 18. https://doi.org/10.1016/B978‐0‐323‐91307‐2.00005‐5
  • Bhatti, A., Akram, H., Basit, H. M., Khan, A. U., Raza, S. M., & Naqvi, M. B. (2020). E‐commerce trends during COVID‐19 Pandemic. International Journal of Future Generation Communication and Networking, 13(2), 1449‐1452. https://doi.org/10.1101/2020.05.29.20110098
  • Bitkina, O. V., & Park, J. (2021). Emotional State and Social Media Experience: A Pandemic Case Study. Sustainability, 13(23), 13311. https://doi.org/10.3390/su132313311
  • Blakeman, R. (2023). Integrated marketing communication: creative strategy from idea to implementation. Rowman & Littlefield.
  • Buhalis, D., Leung, D., & Lin, M. (2023). Metaverse as a disruptive technology revolutionising tourism management and marketing. Tourism Management, 97, 104724. https://doi.org/10.1016/j.tourman.2023.104724
  • Bruggemann, P., & Olbrich, R. (2023). The impact of COVID‐19 pandemic restrictions on offline and online grocery shopping: New normal or old habits?. Electronic Commerce Research, 23(4), 2051‐2072. http://creativecommons.org/licenses/by/4.0/
  • Chapman Cook, M., & Karau, S. J. (2023). Opportunity in uncertainty: small business response to COVID‐19. Innovation & Management Review, 20(2), 162‐178.
  • Chan, F. (2022). A Study of Social Media Influencers and Impact on Consumer Buying Behaviour in the United Kingdom. International Journal of Business & Management Studies, 3(07), 2694‐1449.
  • Chawla, N., & Kumar, B. (2022). E‐commerce and consumer protection in India: the emerging trend. Journal of Business Ethics, 180(2), 581‐604. https://doi.org/10.1007/s10551‐ 021‐04884‐3
  • Chen, M. J. (2023). Antecedents and outcomes of virtual presence in online shopping: A perspective of SOR (Stimulus‐Organism‐ Response) paradigm. Electronic Markets, 33(1), 58. https://doi.org/10.1007/s12525‐023‐00674‐z
  • Collinson, P. (2020). The Elizabethan puritan movement. Routledge.
  • Das, S., Zutshi, A., & Janardhanan, J. (2021). The great lockdown: lessons learned during the pandemic from organizations around the world. John Wiley & Sons.
  • Datta, P., Walsh, K. R., & Terrell, D. (2002). The impact of demographics on choice of survey modes: Demographic distinctiveness between web‐based and telephone‐based survey respondents. Communications of the Association for Information Systems, 9(1), 13. https://doi.org/10.17705/1CAIS.00913
  • Deely, J. (2009). Purely objective reality. Mouton de Gruyter.
  • Duff, P. A. (2006). Beyond generalizability. Inference and generalizability in applied
  • Eichstaedt, J. C., Kern, M. L., Yaden, D. B., Schwartz, H. A., Giorgi, S., Park, G., & Ungar, L. H. (2021). Closed‐and open‐vocabulary approaches to text analysis: A review, quantitative comparison, and recommendations. Psychological Methods, 26(4), 398. https://doi.org/10.1037/met0000349
  • Elisa, H. P., Fakhri, M., & Pradana, M. (2022). The moderating effect of social media use in impulsive buying of personal protective equipments during the COVID‐19 pandemic. Cogent Social Sciences, 8(1), 2062094. https://doi.org/10.1080/23311886.2022.2062094
  • Fernandez, A. A., & Shaw, G. P. (2020). Academic leadership in a time of crisis: The Coronavirus and COVID‐19. Journal of leadership Studies, 14(1), 39‐45. https://doi.org/10.1002/jls.21684
  • Gao, J., Zheng, P., Jia, Y., Chen, H., Mao, Y., Chen, S., Wang, Y., Fu, H., & Dai, J. (2020). Mental health problems and social media exposure during COVID‐19 outbreak. Plos one, 15(4), p.e0231924. https://doi.org/10.1371/journal.pone.0231924
  • Garg, P., Gupta, B., Dzever, S., Sivarajah, U., & Kumar, V. (2020). Examining the relationship between social media analytics practices and business performance in the Indian retail and IT industries: The mediation role of customer engagement. International journal of information management, 52, 102069. https://doi.org/10.1016/j.ijinfomgt.2020.102069
  • Gupta, A., Kumar, A., & Melese, E. (2023). Young consumer engagement at the bottom of pyramid: applying SOR framework in e‐ commerce context. Young Consumers, 24(6), 786‐806. https://doi.org/10.1108/YC‐06‐2022‐1542
  • Hobbs, J. E. (2020). Food supply chains during the COVID‐19 pandemic. Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, 68(2), 171‐176. https://doi.org/10.1111/cjag.12237
  • Huang, H., Asemi, A., & Mustafa, M. B. (2023). Sentiment analysis in e‐commerce platforms: A review of current techniques and future directions. IEEE Access
  • Iriani, S. S., & Andjarwati, A. L. (2020). Analysis of perceived usefulness, perceived ease of use, and perceived risk toward online shopping in the era of Covid‐19 pandemic. Systematic Reviews in Pharmacy, 11(12), 313‐320
  • Jenzen, O. (2017). Trans youth and social media: Moving between counterpublics and the wider web. Gender, Place & Culture, 24(11), 1626‐1641. https://doi.org/10.1080/0966369X.2017.1396204
  • Kadam, A. B., & Atre, S. R. (2020). Negative impact of social media panic during the COVID‐19 outbreak in India. Journal of travel medicine, 27(3), taaa057. https://doi.org/10.1093/jtm/taaa057
  • Kumari, K., & Yadav, S. (2018). Linear regression analysis study. Journal of the practice of Cardiovascular Sciences, 4(1), 33‐36. https://doi.org/10.3238/arztebl.2010.0776
  • Kelly, Y., Zilanawala, A., Booker, C., & Sacker, A. (2018). Social media use and adolescent mental health: Findings from the UK Millennium Cohort Study. EClinicalMedicine, 6, 59‐68. h ttps://doi.org/10.1016/j.eclinm.2018.12.005
  • Kim, R. Y. (2020). The impact of COVID‐19 on consumers: Preparing for digital sales. IE EE Engineering Management Review, 48(3), 212‐218. https://doi.org/10.1109/EMR.2020.2990115
  • Kumar, M., Patel, A. K., Shah, A. V., Raval, J., Rajpara, N., Joshi, M., & Joshi, C. G. (2020). First proof of the capability of wastewater surveillance for COVID‐19 in India through detection of genetic material of SARS‐CoV‐2. Science of the Total Environment, 746, 141326. https://doi.org/10.1016/j.scitotenv.2020.141326
  • Laato, S., Islam, A. N., Farooq, A., & Dhir, A. (2020). Unusual purchasing behavior during the early stages of the COVID‐19 pandemic: The stimulus‐organism‐response approach. Journal of Retailing and Consumer Services, 57, 102224. https://doi.org/10.1016/j.jretconser.2020.102224
  • Li, L., Aldosery, A., Vitiugin, F., Nathan, N., Novillo‐ Ortiz, D., Castillo, C., & Kostkova, P. (2021). The response of governments and public health agencies to COVID‐19 pandemics on social media: a multi‐country analysis of twitter discourse. Frontiers in Public Health, 9, 716333. https://doi.org/10.3389/fpubh.2021.716333
  • Mandel, J. (2012). The statistical analysis of experimental data. Courier Corporation
  • Mason, A. N., Narcum, J., & Mason, K. (2021). Social media marketing gains importance after Covid‐19. Cogent Business & Management, 8(1), 1870797. https://doi.org/10.1080/23311975.2020.1870797
  • Melnikovas, A. (2018). Towards an Explicit Research Methodology: Adapting Research Onion Model for Futures Studies. Journal of futures Studies, 23(2). http://doi.org/10.6531/JFS.201812_23(2).0003
  • Miah, M. R., Hossain, A., Shikder, R., Saha, T., & Neger, M. (2022). Evaluating the impact of social media on online shopping behavior during COVID‐19 pandemic: A Bangladeshi consumers’ perspectives. Heliyon, 8(9). https://doi.org/10.1016/j.heliyon.2022.e10600
  • Miles, D. K., Stedman, M., & Heald, A. H. (2021). “Stay at Home, Protect the National Health Service, Save Lives”: A cost benefit analysis of the lockdown in the United Kingdom. International Journal of Clinical Practice, 75(3), e13674. https://doi.org/10.1111/ijcp.13674
  • Mukhtar, M. S., & Gotmare, P. R. (2021). Health hazard and occupational safety challenges for Unorganized sector workers in India. Journal of Contemporary Issues in Business and Government Vol, 27(1). https://doi.org/10.47750/cibg.2021.27.01.002
  • Monica, B., & BalaÅŸ, R., (2014). Social media marketing to increase brand awareness. Journal of Economics and Business Research, 20(2), 155‐164
  • Mukhtar, M. S., Vigneshwari, K., & Mohan, A. C. (2022). Social Media Relevance for Business, Marketing and Preferences for Customers. British Journal of Administrative Management, 58(157), 39‐52.
  • Noor, S., Tajik, O., & Golzar, J. (2022). Simple random sampling. International Journal of Education & Language Studies, 1(2), 78‐82.
  • Pop, R. A., Săplăcan, Z., Dabija, D. C., & Alt, M. A. (2022). The impact of social media influencers on travel decisions: The role of trust in consumer decision journey. Current Issues in Tourism, 25(5), 823‐843. https://doi.org/10.1080/13683500.2021.1895729
  • Purwanto, N., Pancaningrum, E., & Juwita, K. (2022). Analysis of Consumer behaviour in Making Decisions after the Covid‐19 pandemic: Perspectives on the Theory of Stimulus Organism Response (SOR). KnE Social Sciences, 16‐24.
  • Remidez, H., & Jones, N. B. (2012). Developing a model for social media in project management communications. International Journal of Business and Social Science, 3(3).
  • Schneider, S., & Kokshagina, O. (2021). Digital transformation: What we have learned (thus far) and what is next. Creativity and innovation management, 30(2), 384‐411.
  • Shenge, N. A., Dosunmu, F. A., & Fashola, T. (2021). Trends of Consumer Purchase Behavior during the COVID‐19 Pandemic in Nigeria. Journal of Marketing Management and Consumer Behavior, 3(2).
  • Sheth, J. (2020). Impact of Covid‐19 on consumer behavior: Will the old habits return or die?. Journal of business research, 117, 280‐ 283. https://doi.org/10.1016/j.jbusres.2020.05.059
  • Singh, A., Shukla, N., & Mishra, N. (2018). Social media data analytics to improve supply chain management in food industries. Transportation Research Part E: Logistics and Transportation Review, 114, 398‐415. https://doi.org/10.1016/j.tre.2017.05.008
  • Sykora, M., Elayan, S., Hodgkinson, I. R., Jackson, T. W., & West, A. (2022). The power of emotions: Leveraging user generated content for customer experience management. Journal of Business Research, 144, 997‐1006. https://doi.org/10.1016/j.jbusres.2022.02.048
  • Samet, A. (2020). How the coronavirus is changing US social media usage. Insider Intelligence, 97(29), 1‐3. https://doi.org/10.1016/j.chb.2023.107795
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References

  • Abdellahi, H., & Kobbane, A. (2020). Design and implementation of a social media based web application.
  • Addo, P. C., Jiaming, F., Kulbo, N. B., & Liangqiang, L., (2020). COVID‐19: fear appeal favoring purchase behavior towards personal protective equipment. The Service Industries Journal, 40(7‐8), pp.471‐490. https://doi.org/10.1080/02642069.2020.1751823
  • Aftab, R., Naveed, M., & Hanif, S. (2021). An analysis of Covid‐19 implications for SMEs in Pakistan. Journal of Chinese Economic and Foreign Trade Studies, 14(1), 74‐88. https://doi.org/10.1108/JCEFTS‐08‐2020‐0054
  • Ahmad, A. R., & Murad, H. R. (2020). The impact of social media on panic during the COVID‐19 pandemic in Iraqi Kurdistan: online questionnaire study. Journal of medical Internet research, 22(5), p.e19556. https://preprints.jmir.org/preprint/19556
  • Akar, E. (2021). Customers’ online purchase intentions and customer segmentation during the period of COVID‐19 pandemic. Journal of Internet Commerce, 20(3), 371‐401. https://doi.org/10.1080/15332861.2021.1927435
  • Barr, N. (2020). Economics of the welfare state. Oxford University Press, USA.
  • Bhat, B. A., Gull, S., & Jeelani, G. (2020). A study on COVID‐19 lockdown impact on food, agriculture, fisheries and precautionary measures to avoid COVID‐19 contamination. Galore International Journal of Applied Sciences and Humanities, 4(2), 8‐ 18. https://doi.org/10.1016/B978‐0‐323‐91307‐2.00005‐5
  • Bhatti, A., Akram, H., Basit, H. M., Khan, A. U., Raza, S. M., & Naqvi, M. B. (2020). E‐commerce trends during COVID‐19 Pandemic. International Journal of Future Generation Communication and Networking, 13(2), 1449‐1452. https://doi.org/10.1101/2020.05.29.20110098
  • Bitkina, O. V., & Park, J. (2021). Emotional State and Social Media Experience: A Pandemic Case Study. Sustainability, 13(23), 13311. https://doi.org/10.3390/su132313311
  • Blakeman, R. (2023). Integrated marketing communication: creative strategy from idea to implementation. Rowman & Littlefield.
  • Buhalis, D., Leung, D., & Lin, M. (2023). Metaverse as a disruptive technology revolutionising tourism management and marketing. Tourism Management, 97, 104724. https://doi.org/10.1016/j.tourman.2023.104724
  • Bruggemann, P., & Olbrich, R. (2023). The impact of COVID‐19 pandemic restrictions on offline and online grocery shopping: New normal or old habits?. Electronic Commerce Research, 23(4), 2051‐2072. http://creativecommons.org/licenses/by/4.0/
  • Chapman Cook, M., & Karau, S. J. (2023). Opportunity in uncertainty: small business response to COVID‐19. Innovation & Management Review, 20(2), 162‐178.
  • Chan, F. (2022). A Study of Social Media Influencers and Impact on Consumer Buying Behaviour in the United Kingdom. International Journal of Business & Management Studies, 3(07), 2694‐1449.
  • Chawla, N., & Kumar, B. (2022). E‐commerce and consumer protection in India: the emerging trend. Journal of Business Ethics, 180(2), 581‐604. https://doi.org/10.1007/s10551‐ 021‐04884‐3
  • Chen, M. J. (2023). Antecedents and outcomes of virtual presence in online shopping: A perspective of SOR (Stimulus‐Organism‐ Response) paradigm. Electronic Markets, 33(1), 58. https://doi.org/10.1007/s12525‐023‐00674‐z
  • Collinson, P. (2020). The Elizabethan puritan movement. Routledge.
  • Das, S., Zutshi, A., & Janardhanan, J. (2021). The great lockdown: lessons learned during the pandemic from organizations around the world. John Wiley & Sons.
  • Datta, P., Walsh, K. R., & Terrell, D. (2002). The impact of demographics on choice of survey modes: Demographic distinctiveness between web‐based and telephone‐based survey respondents. Communications of the Association for Information Systems, 9(1), 13. https://doi.org/10.17705/1CAIS.00913
  • Deely, J. (2009). Purely objective reality. Mouton de Gruyter.
  • Duff, P. A. (2006). Beyond generalizability. Inference and generalizability in applied
  • Eichstaedt, J. C., Kern, M. L., Yaden, D. B., Schwartz, H. A., Giorgi, S., Park, G., & Ungar, L. H. (2021). Closed‐and open‐vocabulary approaches to text analysis: A review, quantitative comparison, and recommendations. Psychological Methods, 26(4), 398. https://doi.org/10.1037/met0000349
  • Elisa, H. P., Fakhri, M., & Pradana, M. (2022). The moderating effect of social media use in impulsive buying of personal protective equipments during the COVID‐19 pandemic. Cogent Social Sciences, 8(1), 2062094. https://doi.org/10.1080/23311886.2022.2062094
  • Fernandez, A. A., & Shaw, G. P. (2020). Academic leadership in a time of crisis: The Coronavirus and COVID‐19. Journal of leadership Studies, 14(1), 39‐45. https://doi.org/10.1002/jls.21684
  • Gao, J., Zheng, P., Jia, Y., Chen, H., Mao, Y., Chen, S., Wang, Y., Fu, H., & Dai, J. (2020). Mental health problems and social media exposure during COVID‐19 outbreak. Plos one, 15(4), p.e0231924. https://doi.org/10.1371/journal.pone.0231924
  • Garg, P., Gupta, B., Dzever, S., Sivarajah, U., & Kumar, V. (2020). Examining the relationship between social media analytics practices and business performance in the Indian retail and IT industries: The mediation role of customer engagement. International journal of information management, 52, 102069. https://doi.org/10.1016/j.ijinfomgt.2020.102069
  • Gupta, A., Kumar, A., & Melese, E. (2023). Young consumer engagement at the bottom of pyramid: applying SOR framework in e‐ commerce context. Young Consumers, 24(6), 786‐806. https://doi.org/10.1108/YC‐06‐2022‐1542
  • Hobbs, J. E. (2020). Food supply chains during the COVID‐19 pandemic. Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, 68(2), 171‐176. https://doi.org/10.1111/cjag.12237
  • Huang, H., Asemi, A., & Mustafa, M. B. (2023). Sentiment analysis in e‐commerce platforms: A review of current techniques and future directions. IEEE Access
  • Iriani, S. S., & Andjarwati, A. L. (2020). Analysis of perceived usefulness, perceived ease of use, and perceived risk toward online shopping in the era of Covid‐19 pandemic. Systematic Reviews in Pharmacy, 11(12), 313‐320
  • Jenzen, O. (2017). Trans youth and social media: Moving between counterpublics and the wider web. Gender, Place & Culture, 24(11), 1626‐1641. https://doi.org/10.1080/0966369X.2017.1396204
  • Kadam, A. B., & Atre, S. R. (2020). Negative impact of social media panic during the COVID‐19 outbreak in India. Journal of travel medicine, 27(3), taaa057. https://doi.org/10.1093/jtm/taaa057
  • Kumari, K., & Yadav, S. (2018). Linear regression analysis study. Journal of the practice of Cardiovascular Sciences, 4(1), 33‐36. https://doi.org/10.3238/arztebl.2010.0776
  • Kelly, Y., Zilanawala, A., Booker, C., & Sacker, A. (2018). Social media use and adolescent mental health: Findings from the UK Millennium Cohort Study. EClinicalMedicine, 6, 59‐68. h ttps://doi.org/10.1016/j.eclinm.2018.12.005
  • Kim, R. Y. (2020). The impact of COVID‐19 on consumers: Preparing for digital sales. IE EE Engineering Management Review, 48(3), 212‐218. https://doi.org/10.1109/EMR.2020.2990115
  • Kumar, M., Patel, A. K., Shah, A. V., Raval, J., Rajpara, N., Joshi, M., & Joshi, C. G. (2020). First proof of the capability of wastewater surveillance for COVID‐19 in India through detection of genetic material of SARS‐CoV‐2. Science of the Total Environment, 746, 141326. https://doi.org/10.1016/j.scitotenv.2020.141326
  • Laato, S., Islam, A. N., Farooq, A., & Dhir, A. (2020). Unusual purchasing behavior during the early stages of the COVID‐19 pandemic: The stimulus‐organism‐response approach. Journal of Retailing and Consumer Services, 57, 102224. https://doi.org/10.1016/j.jretconser.2020.102224
  • Li, L., Aldosery, A., Vitiugin, F., Nathan, N., Novillo‐ Ortiz, D., Castillo, C., & Kostkova, P. (2021). The response of governments and public health agencies to COVID‐19 pandemics on social media: a multi‐country analysis of twitter discourse. Frontiers in Public Health, 9, 716333. https://doi.org/10.3389/fpubh.2021.716333
  • Mandel, J. (2012). The statistical analysis of experimental data. Courier Corporation
  • Mason, A. N., Narcum, J., & Mason, K. (2021). Social media marketing gains importance after Covid‐19. Cogent Business & Management, 8(1), 1870797. https://doi.org/10.1080/23311975.2020.1870797
  • Melnikovas, A. (2018). Towards an Explicit Research Methodology: Adapting Research Onion Model for Futures Studies. Journal of futures Studies, 23(2). http://doi.org/10.6531/JFS.201812_23(2).0003
  • Miah, M. R., Hossain, A., Shikder, R., Saha, T., & Neger, M. (2022). Evaluating the impact of social media on online shopping behavior during COVID‐19 pandemic: A Bangladeshi consumers’ perspectives. Heliyon, 8(9). https://doi.org/10.1016/j.heliyon.2022.e10600
  • Miles, D. K., Stedman, M., & Heald, A. H. (2021). “Stay at Home, Protect the National Health Service, Save Lives”: A cost benefit analysis of the lockdown in the United Kingdom. International Journal of Clinical Practice, 75(3), e13674. https://doi.org/10.1111/ijcp.13674
  • Mukhtar, M. S., & Gotmare, P. R. (2021). Health hazard and occupational safety challenges for Unorganized sector workers in India. Journal of Contemporary Issues in Business and Government Vol, 27(1). https://doi.org/10.47750/cibg.2021.27.01.002
  • Monica, B., & BalaÅŸ, R., (2014). Social media marketing to increase brand awareness. Journal of Economics and Business Research, 20(2), 155‐164
  • Mukhtar, M. S., Vigneshwari, K., & Mohan, A. C. (2022). Social Media Relevance for Business, Marketing and Preferences for Customers. British Journal of Administrative Management, 58(157), 39‐52.
  • Noor, S., Tajik, O., & Golzar, J. (2022). Simple random sampling. International Journal of Education & Language Studies, 1(2), 78‐82.
  • Pop, R. A., Săplăcan, Z., Dabija, D. C., & Alt, M. A. (2022). The impact of social media influencers on travel decisions: The role of trust in consumer decision journey. Current Issues in Tourism, 25(5), 823‐843. https://doi.org/10.1080/13683500.2021.1895729
  • Purwanto, N., Pancaningrum, E., & Juwita, K. (2022). Analysis of Consumer behaviour in Making Decisions after the Covid‐19 pandemic: Perspectives on the Theory of Stimulus Organism Response (SOR). KnE Social Sciences, 16‐24.
  • Remidez, H., & Jones, N. B. (2012). Developing a model for social media in project management communications. International Journal of Business and Social Science, 3(3).
  • Schneider, S., & Kokshagina, O. (2021). Digital transformation: What we have learned (thus far) and what is next. Creativity and innovation management, 30(2), 384‐411.
  • Shenge, N. A., Dosunmu, F. A., & Fashola, T. (2021). Trends of Consumer Purchase Behavior during the COVID‐19 Pandemic in Nigeria. Journal of Marketing Management and Consumer Behavior, 3(2).
  • Sheth, J. (2020). Impact of Covid‐19 on consumer behavior: Will the old habits return or die?. Journal of business research, 117, 280‐ 283. https://doi.org/10.1016/j.jbusres.2020.05.059
  • Singh, A., Shukla, N., & Mishra, N. (2018). Social media data analytics to improve supply chain management in food industries. Transportation Research Part E: Logistics and Transportation Review, 114, 398‐415. https://doi.org/10.1016/j.tre.2017.05.008
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Cite this article

APA

    APA : Aslam, S., Riaz, S. N., & Aslam, M. (2023). Impact of Different Social Media Channels on Online Buying behavior: Comparative Case Study of UK with Reference to COVID-19. Global Social Sciences Review, VIII(IV), 15-27. https://doi.org/10.31703/gssr.2023(VIII-IV).02

CHICAGO

    CHICAGO : Aslam, Saif, Sufi Nouman Riaz, and Maria Aslam. 2023. "Impact of Different Social Media Channels on Online Buying behavior: Comparative Case Study of UK with Reference to COVID-19." Global Social Sciences Review, VIII (IV): 15-27 doi: 10.31703/gssr.2023(VIII-IV).02

HARVARD

    HARVARD : ASLAM, S., RIAZ, S. N. & ASLAM, M. 2023. Impact of Different Social Media Channels on Online Buying behavior: Comparative Case Study of UK with Reference to COVID-19. Global Social Sciences Review, VIII, 15-27.

MHRA

    MHRA : Aslam, Saif, Sufi Nouman Riaz, and Maria Aslam. 2023. "Impact of Different Social Media Channels on Online Buying behavior: Comparative Case Study of UK with Reference to COVID-19." Global Social Sciences Review, VIII: 15-27

MLA

    MLA : Aslam, Saif, Sufi Nouman Riaz, and Maria Aslam. "Impact of Different Social Media Channels on Online Buying behavior: Comparative Case Study of UK with Reference to COVID-19." Global Social Sciences Review, VIII.IV (2023): 15-27 Print.

OXFORD

    OXFORD : Aslam, Saif, Riaz, Sufi Nouman, and Aslam, Maria (2023), "Impact of Different Social Media Channels on Online Buying behavior: Comparative Case Study of UK with Reference to COVID-19", Global Social Sciences Review, VIII (IV), 15-27

TURABIAN

    TURABIAN : Aslam, Saif, Sufi Nouman Riaz, and Maria Aslam. "Impact of Different Social Media Channels on Online Buying behavior: Comparative Case Study of UK with Reference to COVID-19." Global Social Sciences Review VIII, no. IV (2023): 15-27. https://doi.org/10.31703/gssr.2023(VIII-IV).02