IDEAS home Printed from https://ideas.repec.org/a/eee/jouret/v98y2022i2p199-208.html
   My bibliography  Save this article

The Fifth Industrial Revolution: How Harmonious Human–Machine Collaboration is Triggering a Retail and Service [R]evolution

Author

Listed:
  • Noble, Stephanie M.
  • Mende, Martin
  • Grewal, Dhruv
  • Parasuraman, A.

Abstract

This manuscript draws attention to the dawn of the Fifth Industrial Revolution (5IR) and highlights its potential for addressing a host of issues within retail and service domains. With a retailing and service perspective, the authors outline the meaning of the 5IR, according to a 2 × 2 framework that categorizes retailers and service providers by their embrace of human–machine collaborations. They also propose an expanded definition of stakeholders in the 5IR (companies, employees, customers, and society). Merging digital, physical, and biological technologies promises enhanced well-being for societal actors across the board. By outlining these likely implications of the 5IR for retailing and services, this article establishes a roadmap for how the (r)evolution is likely to progress and offers a set of key research questions that emerge as a result.

Suggested Citation

  • Noble, Stephanie M. & Mende, Martin & Grewal, Dhruv & Parasuraman, A., 2022. "The Fifth Industrial Revolution: How Harmonious Human–Machine Collaboration is Triggering a Retail and Service [R]evolution," Journal of Retailing, Elsevier, vol. 98(2), pages 199-208.
  • Handle: RePEc:eee:jouret:v:98:y:2022:i:2:p:199-208
    DOI: 10.1016/j.jretai.2022.04.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0022435922000288
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jretai.2022.04.003?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. Shankar, Venkatesh & Kalyanam, Kirthi & Setia, Pankaj & Golmohammadi, Alireza & Tirunillai, Seshadri & Douglass, Tom & Hennessey, John & Bull, J.S. & Waddoups, Rand, 2021. "How Technology is Changing Retail," Journal of Retailing, Elsevier, vol. 97(1), pages 13-27.
    2. Kopalle, Praveen K. & Gangwar, Manish & Kaplan, Andreas & Ramachandran, Divya & Reinartz, Werner & Rindfleisch, Aric, 2022. "Examining artificial intelligence (AI) technologies in marketing via a global lens: Current trends and future research opportunities," International Journal of Research in Marketing, Elsevier, vol. 39(2), pages 522-540.
    3. Dhruv Grewal & Stephanie M. Noble & Anne L. Roggeveen & Jens Nordfalt, 2020. "The future of in-store technology," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 96-113, January.
    4. Grewal, Dhruv & Gauri, Dinesh K. & Roggeveen, Anne L. & Sethuraman, Raj, 2021. "Strategizing Retailing in the New Technology Era," Journal of Retailing, Elsevier, vol. 97(1), pages 6-12.
    5. Beibei Dong & K. Sivakumar, 2017. "Customer participation in services: domain, scope, and boundaries," Journal of the Academy of Marketing Science, Springer, vol. 45(6), pages 944-965, November.
    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. Guha, Abhijit & Grewal, Dhruv & Kopalle, Praveen K. & Haenlein, Michael & Schneider, Matthew J. & Jung, Hyunseok & Moustafa, Rida & Hegde, Dinesh R. & Hawkins, Gary, 2021. "How artificial intelligence will affect the future of retailing," Journal of Retailing, Elsevier, vol. 97(1), pages 28-41.
    8. Chintagunta Pradeep & Hanssens Dominique M. & Hauser John R., 2016. "Marketing and Data Science: Together the Future is Ours," GfK Marketing Intelligence Review, Sciendo, vol. 8(2), pages 18-23, November.
    9. Grewal, Dhruv & Kroschke, Mirja & Mende, Martin & Roggeveen, Anne L. & Scott, Maura L., 2020. "Frontline Cyborgs at Your Service: How Human Enhancement Technologies Affect Customer Experiences in Retail, Sales, and Service Settings," Journal of Interactive Marketing, Elsevier, vol. 51(C), pages 9-25.
    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. Kirk Plangger & Dhruv Grewal & Ko Ruyter & Catherine Tucker, 2022. "The future of digital technologies in marketing: A conceptual framework and an overview," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1125-1134, November.
    2. Salem Ahmed Alabdali & Salvatore Flavio Pileggi & Dilek Cetindamar, 2023. "Influential Factors, Enablers, and Barriers to Adopting Smart Technology in Rural Regions: A Literature Review," Sustainability, MDPI, vol. 15(10), pages 1-38, May.
    3. Papadopoulos, Nicolas & Cleveland, Mark, 2023. "An international and cross-cultural perspective on ‘the wired consumer’: The digital divide and device difference dilemmas," Journal of Business Research, Elsevier, vol. 156(C).
    4. Hye Won Lee, 2023. "Development of Sustainable Creative Three-Dimensional Virtual Woven Textiles Using Clothing Waste," Sustainability, MDPI, vol. 15(3), pages 1-16, January.
    5. Abhijit Guha & Dhruv Grewal, 2022. "How robots will affect the future of retailing," AMS Review, Springer;Academy of Marketing Science, vol. 12(3), pages 245-252, December.
    6. Stephanie M. Noble & Martin Mende, 2023. "The future of artificial intelligence and robotics in the retail and service sector: Sketching the field of consumer-robot-experiences," Journal of the Academy of Marketing Science, Springer, vol. 51(4), pages 747-756, July.
    7. Aric Rindfleisch & Nobuyuki Fukawa & Naoto Onzo, 2022. "Robots in retail: Rolling out the Whiz," AMS Review, Springer;Academy of Marketing Science, vol. 12(3), pages 238-244, December.

    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. Stephanie M. Noble & Martin Mende, 2023. "The future of artificial intelligence and robotics in the retail and service sector: Sketching the field of consumer-robot-experiences," Journal of the Academy of Marketing Science, Springer, vol. 51(4), pages 747-756, July.
    2. Jiahe Chen & Yu-Wei Chang, 2023. "How smart technology empowers consumers in smart retail stores? The perspective of technology readiness and situational factors," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-24, December.
    3. Abhijit Guha & Dhruv Grewal, 2022. "How robots will affect the future of retailing," AMS Review, Springer;Academy of Marketing Science, vol. 12(3), pages 245-252, December.
    4. Pantano, Eleonora & Viassone, Milena & Boardman, Rosy & Dennis, Charles, 2022. "Inclusive or exclusive? Investigating how retail technology can reduce old consumers’ barriers to shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    5. Manis, K.T. & Madhavaram, Sreedhar, 2023. "AI-Enabled marketing capabilities and the hierarchy of capabilities: Conceptualization, proposition development, and research avenues," Journal of Business Research, Elsevier, vol. 157(C).
    6. Shankar, Venkatesh & Kalyanam, Kirthi & Setia, Pankaj & Golmohammadi, Alireza & Tirunillai, Seshadri & Douglass, Tom & Hennessey, John & Bull, J.S. & Waddoups, Rand, 2021. "How Technology is Changing Retail," Journal of Retailing, Elsevier, vol. 97(1), pages 13-27.
    7. Gabel, Sebastian & Guhl, Daniel, 2022. "Comparing the effectiveness of rewards and individually targeted coupons in loyalty programs," Journal of Retailing, Elsevier, vol. 98(3), pages 395-411.
    8. Gauri, Dinesh K. & Grewal, Dhruv, 2021. "Navigating the Retailing Frontier through Academic and Practitioner Collaboration," Journal of Retailing, Elsevier, vol. 97(1), pages 2-5.
    9. Erik Hermann, 2022. "Leveraging Artificial Intelligence in Marketing for Social Good—An Ethical Perspective," Journal of Business Ethics, Springer, vol. 179(1), pages 43-61, August.
    10. Francesca Bonetti & Matteo Montecchi & Kirk Plangger & Hope Jensen Schau, 2023. "Practice co-evolution: Collaboratively embedding artificial intelligence in retail practices," Journal of the Academy of Marketing Science, Springer, vol. 51(4), pages 867-888, July.
    11. 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.
    12. Ertugrul Uysal & Sascha Alavi & Valéry Bezençon, 2022. "Trojan horse or useful helper? A relationship perspective on artificial intelligence assistants with humanlike features," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1153-1175, November.
    13. Villanova, Daniel & Bodapati, Anand V. & Puccinelli, Nancy M. & Tsiros, Michael & Goodstein, Ronald C. & Kushwaha, Tarun & Suri, Rajneesh & Ho, Henry & Brandon, Renee & Hatfield, Cheryl, 2021. "Retailer Marketing Communications in the Digital Age: Getting the Right Message to the Right Shopper at the Right Time," Journal of Retailing, Elsevier, vol. 97(1), pages 116-132.
    14. Mostaghel, Rana & Oghazi, Pejvak & Parida, Vinit & Sohrabpour, Vahid, 2022. "Digitalization driven retail business model innovation: Evaluation of past and avenues for future research trends," Journal of Business Research, Elsevier, vol. 146(C), pages 134-145.
    15. Madiha Bendjaballah & Christian Dianoux & Sandrine Heitz-Spahn, 2022. "Vers une communication client/vendeur médiatisée par l'usage de l'instrument digital," Post-Print hal-03542762, HAL.
    16. Li, Sixian & Peluso, Alessandro M. & Duan, Jinyun, 2023. "Why do we prefer humans to artificial intelligence in telemarketing? A mind perception explanation," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    17. Mathieu Lajante & David Remisch & Nikita Dorofeev, 2023. "Can robots recover a service using interactional justice as employees do? A literature review-based assessment," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 315-357, March.
    18. Xueqin Wang & Yiik Diew Wong & Kum Fai Yuen, 2021. "Does COVID-19 Promote Self-Service Usage among Modern Shoppers? An Exploration of Pandemic-Driven Behavioural Changes in Self-Collection Users," IJERPH, MDPI, vol. 18(16), pages 1-22, August.
    19. Errajaa, Karim & Hombourger-Barès, Sabrina & Audrain-Pontevia, Anne-Françoise, 2022. "Effects of the in-store crowd and employee perceptions on intentions to revisit and word-of-mouth via transactional satisfaction: A SOR approach," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    20. Wenkai Zhou & Chi Zhang & Linwan Wu & Meghana Shashidhar, 2023. "ChatGPT and marketing: Analyzing public discourse in early Twitter posts," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(4), pages 693-706, December.

    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:jouret:v:98:y:2022:i:2:p:199-208. 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 .

    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.