IDEAS home Printed from https://ideas.repec.org/a/eee/joreco/v73y2023ics0969698923000516.html
   My bibliography  Save this article

A technology-people-integrated toolkit for retail care management during a crisis

Author

Listed:
  • Priporas, Constantinos Vasilios
  • Vellore Nagarajan, Durga
  • Kamenidou, Irene (Eirini)

Abstract

Mental volatilities are seen to be on the rise when it comes to retail employees and consumers. Specifically, in times of crisis there is a need to be able to customise care management in a way that is coherent and comprehensive to address mental volatility. This customisation is sought in technology and people. However, thus far there is no toolkit for a specific crisis-sensitive care management protocol. We, therefore, build on an ADO framework-based, illustrative case study of three UK retailers wherein we derive and exemplify how mental burnout in a volatile environment becomes a very important care management necessity which has been neglected thus far. Further, we detail how to contend with this need and how there is a demand for customisation, comprehensiveness, and consistency. In this respect, we conceptualise a technology-people-integrated toolkit that can be implemented with immediate effect for retail care management. We detail the practicalities work in two scenarios. To conclude, managerial and theoretical implications of this toolkit and study have been detailed along with the paper's limitations and suggestions for future research.

Suggested Citation

  • Priporas, Constantinos Vasilios & Vellore Nagarajan, Durga & Kamenidou, Irene (Eirini), 2023. "A technology-people-integrated toolkit for retail care management during a crisis," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    • Handle: RePEc:eee:joreco:v:73:y:2023:i:c:s0969698923000516
    DOI: 10.1016/j.jretconser.2023.103304
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969698923000516
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jretconser.2023.103304?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Teresa Barbieri & Gaetano Basso & Sergio Scicchitano, 2022. "Italian Workers at Risk During the COVID-19 Epidemic," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 8(1), pages 175-195, March.
    2. Laato, Samuli & Islam, A.K.M. Najmul & Farooq, Ali & Dhir, Amandeep, 2020. "Unusual purchasing behavior during the early stages of the COVID-19 pandemic: The stimulus-organism-response approach," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    3. Pantano, Eleonora & Pedeliento, Giuseppe & Christodoulides, George, 2022. "A strategic framework for technological innovations in support of the customer experience: A focus on luxury retailers," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    4. Arun Rai, 2020. "Explainable AI: from black box to glass box," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 137-141, January.
    5. Northington, William Magnus & Gillison, Stephanie T. & Beatty, Sharon E. & Vivek, Shiri, 2021. "I don't want to be a rule enforcer during the COVID-19 pandemic: Frontline employees' plight," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    6. Ming-Hui Huang & Roland T. Rust, 2021. "A strategic framework for artificial intelligence in marketing," Journal of the Academy of Marketing Science, Springer, vol. 49(1), pages 30-50, January.
    7. Islam, Tahir & Pitafi, Abdul Hameed & Arya, Vikas & Wang, Ying & Akhtar, Naeem & Mubarik, Shujaat & Xiaobei, Liang, 2021. "Panic buying in the COVID-19 pandemic: A multi-country examination," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    8. Sabrina Zeike & Katherine Bradbury & Lara Lindert & Holger Pfaff, 2019. "Digital Leadership Skills and Associations with Psychological Well-Being," IJERPH, MDPI, vol. 16(14), pages 1-12, July.
    9. Pantano, Eleonora & Pizzi, Gabriele & Scarpi, Daniele & Dennis, Charles, 2020. "Competing during a pandemic? Retailers’ ups and downs during the COVID-19 outbreak," Journal of Business Research, Elsevier, vol. 116(C), pages 209-213.
    10. Patrick Mikalef & Kieran Conboy & Jenny Eriksson Lundström & Aleš Popovič, 2022. "Thinking responsibly about responsible AI and ‘the dark side’ of AI," European Journal of Information Systems, Taylor & Francis Journals, vol. 31(3), pages 257-268, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Serravalle, Francesca & Pantano, Eleonora, 2023. "Mastering care management strategies to improve retailing: Mechanisms, capabilities, impacts and emerging opportunities," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Serravalle, Francesca & Pantano, Eleonora, 2023. "Mastering care management strategies to improve retailing: Mechanisms, capabilities, impacts and emerging opportunities," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    2. Jiang, Yangyang & Stylos, Nikolaos, 2021. "Triggers of consumers’ enhanced digital engagement and the role of digital technologies in transforming the retail ecosystem during COVID-19 pandemic," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    3. Rodríguez-Priego, Nuria & Porcu, Lucia & Prados Peña, María Belén & Crespo Almendros, Esmeralda, 2023. "Perceived customer care and privacy protection behavior: The mediating role of trust in self-disclosure," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    4. Vannucci, Virginia & Dasmi, Costanza & Nechaeva, Olga & Pizzi, Gabriele & Aiello, Gaetano, 2023. "WHY do YOU care about me? The impact of retailers’ customer care activities on customer orientation perceptions and store patronage intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    5. Mostafa Ghodsi & Ali Ardestani & Arash Rasaizadi & Seyednaser Ghadamgahi & Hao Yang, 2021. "How COVID-19 Pandemic Affected Urban Trips? Structural Interpretive Model of Online Shopping and Passengers Trips during the Pandemic," Sustainability, MDPI, vol. 13(21), pages 1-15, October.
    6. Ngoh, Cheryl-lyn & Groening, Christopher, 2022. "The effect of COVID-19 on consumers’ channel shopping behaviors: A segmentation study," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    7. Erjavec, Jure & Manfreda, Anton, 2022. "Online shopping adoption during COVID-19 and social isolation: Extending the UTAUT model with herd behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    8. Ali Zackery & Joseph Amankwah-Amoah & Zahra Heidari Darani & Shiva Ghasemi, 2022. "COVID-19 Research in Business and Management: A Review and Future Research Agenda," Sustainability, MDPI, vol. 14(16), pages 1-32, August.
    9. Leah Warfield Smith & Randall Lee Rose & Alex R. Zablah & Heath McCullough & Mohammad “Mike” Saljoughian, 2023. "Examining post-purchase consumer responses to product automation," Journal of the Academy of Marketing Science, Springer, vol. 51(3), pages 530-550, May.
    10. Peluso, Alessandro M. & Pichierri, Marco & Pino, Giovanni, 2021. "Age-related effects on environmentally sustainable purchases at the time of COVID-19: Evidence from Italy," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    11. Kim, Minseong, 2021. "Does playing a video game really result in improvements in psychological well-being in the era of COVID-19?," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    12. Jiang, Yi & Wang, Xueqin & Yuen, Kum Fai, 2021. "Augmented reality shopping application usage: The influence of attitude, value, and characteristics of innovation," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    13. Volkmar, Gioia & Fischer, Peter M. & Reinecke, Sven, 2022. "Artificial Intelligence and Machine Learning: Exploring drivers, barriers, and future developments in marketing management," Journal of Business Research, Elsevier, vol. 149(C), pages 599-614.
    14. Vinay Singh & Brijesh Nanavati & Arpan Kumar Kar & Agam Gupta, 2023. "How to Maximize Clicks for Display Advertisement in Digital Marketing? A Reinforcement Learning Approach," Information Systems Frontiers, Springer, vol. 25(4), pages 1621-1638, August.
    15. Sharma, Manu & Kaushal, Deepak & Joshi, Sudhanshu, 2023. "Adverse effect of social media on generation Z user's behavior: Government information support as a moderating variable," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    16. Morimura, Fumikazu & Sakagawa, Yuji, 2023. "The intermediating role of big data analytics capability between responsive and proactive market orientations and firm performance in the retail industry," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    17. Eleonora Annunziata & Tommaso Pucci & Jacopo Cammeo & Lorenzo Zanni & Marco Frey, 2023. "The mediating role of exogenous shocks in green purchase intention: evidence from italian fashion industry in the Covid-19 era," Italian Journal of Marketing, Springer, vol. 2023(1), pages 59-79, March.
    18. Manjunath Padigar & Ljubomir Pupovac & Ashish Sinha & Rajendra Srivastava, 2022. "The effect of marketing department power on investor responses to announcements of AI-embedded new product innovations," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1277-1298, November.
    19. Zielke, Stephan & Komor, Marcin & Schlößer, Andrea, 2023. "Coping strategies and intended change of shopping habits after the Corona pandemic – Insights from two countries in Western and Eastern Europe," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    20. Battisti, Enrico & Alfiero, Simona & Leonidou, Erasmia, 2022. "Remote working and digital transformation during the COVID-19 pandemic: Economic–financial impacts and psychological drivers for employees," Journal of Business Research, Elsevier, vol. 150(C), pages 38-50.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:joreco:v:73:y:2023:i:c:s0969698923000516. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-retailing-and-consumer-services .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.