| Literature DB >> 33994600 |
Gopal Das1, Shailendra Pratap Jain2, Durairaj Maheswaran3, Rebecca J Slotegraaf4, Raji Srinivasan5.
Abstract
Pandemics have been an unfortunate but consistent facet of human existence over centuries, threatening lives as well as livelihoods globally. Disconcertingly, their frequency persists, with four "major" pandemics disrupting the planet in the last 65 years and more expected in the future. While many of the economic and health consequences of pandemics are well-documented, their marketing implications are less understood. Addressing this gap, we develop a broad, conceptual framework to highlight the characteristics and impacts of pandemics as they relate to marketing. We first identify four macro-level forces that characterize pandemics and highlight their marketing implications. Next, using the 7P marketing mix model as the organizing structure, we discuss these implications at a micro-level and identify a set of research questions to stimulate further inquiry, not only to generate deeper insights pertaining to pandemics' marketing implications but also to envision new developments in these areas. Finally, we identify pandemics' disproportionate impacts on and implications for some industry sectors, including healthcare, retail, education, hospitality, and tourism. © Academy of Marketing Science 2021.Entities:
Keywords: 7P model; Industry sectors; Macro-level forces; Marketing implications; Pandemics; Research opportunities
Year: 2021 PMID: 33994600 PMCID: PMC8114019 DOI: 10.1007/s11747-021-00786-y
Source DB: PubMed Journal: J Acad Mark Sci ISSN: 0092-0703
Fig. 1Conceptual framework
Research opportunities
| 7Ps | Impact factors | Proposed research questions |
|---|---|---|
| Product | Positioning | What alternatives to value-based positioning strategies are most effective during different phases of a pandemic? How do the macro forces generate synergies or conflict for positioning strategies and their effects on customer judgement and choice? How does the need for these positioning pivots vary across industries? How do the macro forces during pandemics influence individuals’ reliance on stereotypes in processing, judgment, and choice both during and after a pandemic? |
| Brand Strategy | To what extent and why will different forms of pandemic-driven scarcity dampen the benefits of brand loyalty? How can brands remain relevant to customers as they face a new customer journey? As contactless journeys become a new norm, how can brands provide valuable touchpoints in a customer journey? How can global brands manage speed of action when faced with long-term uncertainty, especially if regions experience different degrees of pandemic severity? | |
| Country of Origin | What are the short-term and long-term influences of a pandemic on customer ethnocentrism, animosity, and product demand? How does this vary across industries? Will country-of-origin, especially as it relates to the source of the pandemic, influence customers’ choice of essential and non-essential products during a pandemic? | |
| Innovation Strategy | What are innovation process effects (e.g., knowledge sharing, creativity) due to changes in physical co-locations of new product development teams caused by pandemics? Are opportunities for reverse innovation (frugal innovations from developing countries to developed countries) increased? What are some practices for ensuring effective reverse innovation processes within firms? Will innovations created during a pandemic generate disruptive shifts in customer behavior after the pandemic? What segments of customers are more likely to experience disruption? | |
| Price | Pricing Strategy | Which pricing strategies are likely to be more effective in stimulating demand for products during pandemics? How do pricing strategies during a pandemic compare to pricing strategies during recessions? How do these vary by brands, markets, and firms? Is pandemic-induced price sensitivity transient or a long-term behavioral shift? |
| Frugality | Will pandemic-induced frugality continue after a pandemic subsides? Is it relevant to certain product categories, such as for high vs. low involvement products? Under what conditions might pandemic-related frugality trigger risk aversion versus risk seeking? How can companies and policy makers develop policies to minimize pandemic-induced hoarding and herd behavior? | |
| Payment Modalities | How do mitigation efforts, scarcity, and uncertainty during a pandemic impact customers’ ability to manage the trade-off between easy credit card payments and unhealthy impulsive purchases? Does this depend on customer motivation as reflected in regulatory focus behavior? What are the optimal contexts under which different fintech alternatives may be useful in handling the constraints of pandemic-induced transaction modes? | |
| Place | Distribution Strategy | Are new distribution strategies needed that fulfill flexibility during a pandemic but also provide efficiencies after a pandemic? How will these vary across industries? How will pandemics impact governance structures (e.g., number of intermediaries, commission sharing) in distribution channels? What will be the effect of a pandemic on channel partners located in different places in the supply chain or different locations geographically? |
| E-commerce Strategy | Will pandemics affect the patronage of pure-play e-commerce firms? Will these behaviors differ across product categories (e.g., luxury vs. essentials) or by types of customers? How enduring is the impact due to a pandemic? What might predict this trend to be short-term versus long-term? | |
| Omnichannel Retailing | Can pandemics shift the nature of customer engagement with retailers? Further, do some of these behavioral changes persist following the pandemic? Will pandemics create a long-term shift in the balance of integrating online and offline retailing, altering the nature of omnichannel retailing? | |
| Promotion | Advertising | What will be the long-term implications of reducing advertising spending during a pandemic? What should firms do to enhance the effectiveness of their advertising spending, media mix, and messaging during a pandemic? Will this vary across firms or industries? When should firms alter their advertising strategies? What characteristics of a pandemic or stages of the pandemic (e.g., pre-pandemic, spark, spread, recovery) impact this timing? |
| Promotional Strategy | Will promotional strategies that reassure customers about a firm’s stability and its support for customers during the pandemic elevate firm sales or customer loyalty? How will specific promotional strategies that emphasize value during a pandemic generate long-term consequences? | |
| People | Personal Selling | Will new technology tools (e.g., virtual reality) for communications with customers move to replace in-person personal selling? How can firms most effectively rely on technology for personal selling, so that a firm can be agile when faced with heightened uncertainty and benefit from technology and in-person selling? How can personal selling activities be effectively used during pandemics? How will this effectiveness vary across industries? |
| CRM | What will be effective customer acquisition and retention strategies during pandemics? Are customers more likely to respond to monetary or social rewards? What will be the role of loyalty programs during a pandemic? Given the differential social networks during pandemics, what is the role of online vs. personal word-of-mouth in CRM? What should be the focus of a firm’s CRM efforts? | |
| Online Engagement | How can firms offer an online experience to mitigate social isolation during pandemics? Can such presence replace physical human presence? What mechanisms can mitigate the negative consequences of pandemic-driven social isolation? What role, if any, should firms play? | |
| Process | Services Strategy | Can human service delivery be effectively replaced with technology-enabled delivery? Will this be temporary during the pandemic, or create a long-term shift in service delivery? How can firms most effectively adapt their service strategies when faced with strict mitigation policies during a pandemic’s spark and spread periods? Which types of services are least and most likely to be affected by a pandemic? |
| Customer Journey | Given heightened uncertainty and scarcity in a pandemic, will customers take more time in their decisions across stages within the customer journey? For collective journeys, will mitigation and relational scarcity create an in-group versus out-group lens on customer decision making during a pandemic? | |
| Marketing AI Systems | Does a pandemic accelerate adoption of AI more quickly in some sectors than in others? During pandemics, how will customers, firms, and collaborators (e.g., hospitals, medical professionals) use AI and automated marketing systems for interfaces such as purchase, ordering, post-ordering, and customer support? Will this generate long-term trends in different industry sectors? What are the long-term positive and negative implications for firms, customers, and society from a dramatic pivot toward use of AI during a pandemic? | |
| Physical Evidence | Physical Environment | What environmental features enhance perceptions of product quality and safety of service/locations during pandemics? How do these features impact choice and create long-term perceptions? What are the short-term and long-term implications when physical surroundings are inconsistent with the firm’s messages? How does this impact customer judgment and choice during a pandemic and after the pandemic? |
| Packaging | Will packaging modifications made during the pandemic (e.g., layer of transparent plastic wrapping meant to ensure safety) positively affect customers’ perceptions or adversely affect their fear of contagion, perceptions of product quality, or associations between the product and the pandemic? How can new forms of packaging reinforce quality and safety, and become enduring in the long term? What are the core benefits of packaging and how are they altered during a pandemic? How might preference for these benefits vary by product type and customer type? | |
| Industry Sectors | As technology becomes more prevalent in the workforce and customers’ everyday life, will it shift the degree of impact on different industry sectors? Will it open the door for new industry sectors to emerge? Recognizing that a pandemic can impact multiple industry sectors, how can firms create new business models that incorporate new technologies, reflect the shift in society preferences, and provide new value-creation potential? Since pandemics differentially impact various industry sectors, will firms strengthen their competitive advantage when they align with firms in other industry sectors? For those who contract the virus and survive, what implications does uncertainty regarding potential long-term health effects have across different industries for customer perceptions, decision-making, and choice? How will a pandemic transform retail that depends on smooth operations, especially across geographic boundaries? If customers temporarily refrain from tourism during a pandemic, can AI offer a valuable substitute for such experiences (e.g., through augmented reality)? Does this have a long-term effect on tourism-related customer journeys? | |
Major pandemics in history
| Point of comparison | Black Plague | Russian Flu | Spanish flu | Asian flu | Hong Kong flu | SARS | |
|---|---|---|---|---|---|---|---|
| Duration | 1347–1351 | 1889–1892 | 1918–1920 | 1957–1958 | 1968–1970 | 2002–2003 | 2019–present |
| Global deaths | 75–200 Ma | 1 Mb | 50 Mb,c | 1.1Mb,c | 1Mb,c | 774b,c | 3.16 M (as of April 30, 2021)d |
| Mitigation approaches | Quarantine Social distancing | Belief that fasting would ‘starve’ the disease School closures | Quarantine Social distancing Face masks Closure of schools and public places | Localized ban of public gatherings | Localized ban of public gatherings | Quarantine Face masks School closures | Quarantine Social distancing Face masks Closure of schools and public places |
| Demand contraction | “Depression of the late Middle Ages”e | Recession | Global recession 5.5% drop in U.S. economic activity | 2% drop in economic activity | 0.07% drop in Global GDP | Recession −1% GDP impact in China −2.63% GDP impact in Hong Kong | Global recession 5.2% estimated drop in global GDP |
| Industry sector(s) primarily impacted | All ( | Agriculture Healthcare Education | Coal/copper mining Shipbuilding Healthcare Education Retail Hospitality | Healthcare Education | Healthcare | Healthcare Education Retail Hospitality Tourism Transportation | Healthcare Education Retail Hospitality Tourism Transportation |
aGiven record keeping of the time, estimates widely vary. See https://www.nature.com/articles/nm0905-927.pdf and https://www.en.wikipedia.org/wiki/Black_Deathhttps://www.historytoday.com/archive/black-death-greatest-catastrophe-ever
bNoor and Maniha (2020)
chttps://www.cdc.gov
dhttps://covid19.who.int/
ehttps://eh.net/encyclopedia/the-economic-impact-of-the-black-death/