| Literature DB >> 35967007 |
Abstract
Consumers have needed to reorganise their daily lives due to the COVID-19 pandemic. It has become a focal question whether or not the changes will be permanent, short-lived or perhaps contribute to a transition towards new forms of consumption. Alongside changes caused directly by the pandemic, consumers have ideas, plans and hopes concerning their futures. In this article, we investigate consumers' behaviour change and futures thinking during the pandemic. A three-month qualitative online data collection was carried out to allow consumers to reflect on their current situation and views on the future. Consumers' future expectations and changes in consumer lifestyles during the pandemic are identified in the analysis. The results are interpreted through the theoretical perspectives of anticipation and imaginaries. In their thinking, consumers move fluently between the past, present and future, and they anticipate simplified, flexible and ecologically conscious lifestyles in the future. We conclude that primary qualitative data consisting of consumers' futures thinking can be a valuable data source in foresight research supporting traditional expert-driven methods.Entities:
Keywords: Anticipation; COVID-19; Consumption; Finland; Futures
Year: 2022 PMID: 35967007 PMCID: PMC9364660 DOI: 10.1016/j.futures.2022.103019
Source DB: PubMed Journal: Futures ISSN: 0016-3287
The participants of the study.
| Gender | Age | Place of residence | House type | Household | Education | Employment |
|---|---|---|---|---|---|---|
| Male | 66 | Small city/municipality | Apartment | Living alone | Master (applied sciences) | Retired |
| Male | 66 | Metropolitan area | Apartment | Living with a partner and child(ren) | Bachelor (applied sciences) | Retired |
| Female | 63 | Mid-sized city or municipality | Apartment | Living with a partner | Vocational qualification | Retired |
| Female | 63 | Metropolitan area | Row/semi-detached | Living with a partner | Vocational qualification | Retired |
| Male | 60 | Mid-sized city/municipality | Single-family | Living with a partner | Bachelor (university) | Working full-time |
| Female | 59 | Small city/municipality | Apartment | Living alone | Bachelor (applied sciences) | Working full-time |
| Female | 58 | Metropolitan area | Apartment | Living alone | Vocational qualification | Working full-time |
| Male | 57 | Mid-sized city/municipality | Single-family | Living with a partner and child(ren) | Doctor/licentiate | Unemployed |
| Female | 50 | Mid-sized city/municipality | Row/semi-detached | Living with a partner | Vocational qualification | Working part-time |
| Male | 50 | Large city | Apartment | Living alone | Vocational qualification | Working part-time, retired |
| Female | 46 | Mid-sized city/municipality | Apartment | Living with kid(s) | Master (university) | Working part-time |
| Female | 45 | Large city | Single-family | Living with a partner and child(ren) | Master’s degree | Unemployed |
| Male | 45 | Mid-sized city/municipality | Single-family | Living with a partner | Bachelor (applied sciences) | Working full-time |
| Female | 43 | Mid-sized city/municipality | Row/semi-detached | Living with a partner and child(ren) | Master (university) | Working full-time |
| Male | 41 | Mid-sized city/municipality | Apartment | Living with kid(s) | Master (university) | On parental leave |
| Male | 41 | Mid-sized city/municipality | Row/semi-detached | Living with a partner and child(ren) | Master (university) | Student |
| Female | 38 | Mid-sized city/municipality | Apartment | Living alone | Master (university) | Working full-time |
| Female | 32 | Large city | Apartment | Living with a partner and child(ren) | Vocational qualification | Working part-time |
| Male | 32 | Metropolitan area | Single-family | Living with a partner and child(ren) | Master (university) | Working full-time |
| Male | 31 | Large city | Row/semi-detached | Living with a partner | Bachelor (applied sciences) | Working full-time, student |
| Male | 31 | Large city | Apartment | Living with a partner | Bachelor (applied sciences) | Working full-time |
| Female | 30 | Small city/municipality | Single-family | Living with a partner and child(ren) | Vocational qualification | Student, on parental leave |
| Male | 29 | Large city | Apartment | Living with a partner and child(ren) | Vocational qualification | Student |
| Female | 26 | Mid-sized city/municipality | Apartment | Living alone | Bachelor (applied sciences) | Working part-time |
| Female | 23 | Mid-sized city/municipality | Single-family | Living with parents | Bachelor (university) | Working part-time, |
| Male | 21 | Large city | Apartment | Living with roommates | A-level | Student |
| Female | 20 | Small city/municipality | Single-family | Living with roommates | A-level | Student |
| Male | 18 | Metropolitan area | Single-family | Living with parents | Elementary | Working part-time, student |
The categories used in the classification: Helsinki metropolitan area. Large city (over 100 000 inhabitants). Mid-sized city or municipality (20 000 – 100 000 inhabitants). Small city or municipality (less than 20 000 inhabitants).
The thematic structure and timetable of the study.
| Date (2020) | Theme | Number of new COVID-19 cases weekly in Finland |
|---|---|---|
| 17.9 | Introduction and housing | 468 |
| 24.9 | Transportation | 717 |
| 24.9 | Group discussion 1 | |
| 1.10 | Travel | 1128 |
| 8.10 | Food | 1624 |
| 15.10 | Hobbies | 1276 |
| 22.10 | Work and education | 1243 |
| 22.10 | Group discussion 2 | |
| 29.10 | Social relations | 1454 |
| 5.11 | Communications, media and technology | 1417 |
| 12.11 | Health and wellbeing | 1649 |
| 19.11 | Values and attitudes | 2597 |
| 26.11 | Consumption, part 1 | 3136 |
| 26.11 | Group discussion 3 | |
| 3.12 | Consumption, part 2 | 3011 |
| 10.12 | Future | 2904 |
Finnish institute for health and welfare (2021).
Codes explained.
| Code | Explanation |
|---|---|
| Change in attitude | A change in consumption-related attitudes |
| Consumer identity | The respondent describes what kind of consumer he/she is |
| Increase in consumption | Increase in particular product or service category |
| Decrease in consumption | Decreased consumption in a particular product or service category |
| Change in consumption | A qualitative change in consumption habits, practices, routines |
| Stability in consumption | A consumption pattern that has remained the same during the pandemic |
| Change in behaviour | A change in the way of living |
| Stability in behaviour | Stability in the way of living |
| Change in emotions | An emotional change caused by the pandemic |
| Change in plans | A change in plans caused by the pandemic |
| Change in circumstances | A change in the living context |
| Future expectation | An expectation to do something in the future |
| Future view | A view or understanding about the future |
| Future ideal | An ideal about the future |
| Benefit of change | A positive outcome of change in consumption or way of living |
| Harm of change | A negative outcome of change in consumption or way of living |
Framework of contextual change, change in consumption and future expectations.
| Contextual change | Change in consumption | Future expectations |
|---|---|---|
| More time at home | Cooking more | Flexibility, simplicity and family-centricity in life |
| Less commuting | Driving less reduces the need for gasoline | Preference for walking and cycling |
| Restricted travelling | Travelling to foreign countries mostly ceased | Strong wish to see travelling returning to ‘normal’ |
| Avoiding public spaces | Visiting stores less frequently | Using restaurants again, especially at work and school |