This study investigates car sharing participation in Sweden within the broader context of sharing economy platforms. Its objective is to explore the relationship between internet use and car sharing, while accounting for residential area, gender, and age. The analysis is based on nationally representative survey data collected between 2019 and 2023 (N = 8762). Initial results indicate a weak positive association between internet use and car sharing. However, this association disappears when age is considered, suggesting that age mediates the relationship. The final analysis shows that car sharing is more common among urban residents, males, and younger consumers. The findings have implications for theory, managerial practice, and policymaking. The study also addresses methodological limitations and outlines directions for future research on the behavioral, social, and structural factors influencing participation in car sharing services.

During periods of economic and social stability, retailers rarely need to address grocery hoarding. However, in times of crises, understanding the driving mechanisms behind hoarding becomes crucial. This study investigates the relationship between consumers’ personality traits and grocery hoarding in Sweden during the beginning of Covid-19, applying the Five-Factor Model of personality (FFM), which includes the five traits Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism. Data were collected from a representative sample (N = 1200) via a web survey conducted between April 22 and 18 June 2020. Respondents were asked whether they bought more food and daily necessities than usual during the pandemic and the personality traits were assessed using the Big Five Inventory. Consumers with higher levels of Openness and Neuroticism, and lower levels of Agreeableness, were more likely to engage in hoarding behavior during the early stages of the Covid-19 pandemic in Sweden. By integrating these insights into strategic planning, the retail sector can better imagine and mitigate the adverse impacts of hoarding, fostering resilience in times of uncertainty.

Car sharing is often promoted as a sustainable mobility solution and a hallmark of the sharing economy. It is commonly assumed that environmental concerns are a key motivation for consumers who use car sharing services. However, previous studies offer mixed findings regarding the link between car sharing and environmental attitudes. Drawing on nationally representative survey data from 2019 to 2024 (N = 10,170), this study examines the relationship between consumers’ environmental attitudes and car sharing use. Results show that environmental attitudes have only limited influence. Most attitudinal measures, including general environmental concern and support for reducing car use, did not significantly differ (p < .05) between car sharers and non-car sharers. These findings challenge the notion that environmental motivations are central to car sharing adoption. Instead, they suggest that practical considerations, such as cost and convenience, may be more influential. In the context of Mobility as a Service (MaaS), this underscores the need to prioritize everyday mobility needs over assumed ecological values. 

This study aims to examine hoarding in Sweden during the first phase of the Covid-19 pandemic in 2020. The research questions are: (1) How was hoarding related to consumer behaviour during Covid-19? and (2) How did hoarding impact supply chains? The first question is addressed through empirical, primarily descriptive data, while the second is explored through a theoretical analysis of the empirical findings to contextualise consumer hoarding more broadly. Two independent surveys were conducted to study what was hoarded (first survey), by whom (first and second survey) and why (first survey). Results show that Swedes mainly hoarded canned food, pasta and toilet paper, but also rice, frozen food and dry food. Hoarders are characterised by being young, well educated, having a higher income, living with children, and in big cities. Remarkable is that only 34 % stated that they hoarded because of concerns that goods would run out, while 55 % stated that the reason was fear of being infected or concern for infecting others. The empirical findings are used for a discursive analysis of hoarding's effect on supply chains. The analysis is assisted by introducing the CARS framework categorising product types based on how flexibly the production system can scale up production and to what extent consumption is increased or just postponed by hoarding. Industries with inflexible production systems providing groceries with a postponed consumption (e.g. canned food and pasta) were found most affected by hoarding. Hoarding aggravated the supply of groceries like coffee, wheat flour and yeast, and the supply chains also needed to adapt to supplying small packages to consumers via stores or e-commerce rather than in larger quantities to offices, restaurants and bakeries. 

Using a large representative sample of the Swedish population, the present study aimed to explore the relationship between online shopping of medicines and personality traits (i.e. degree of Openness, Conscientiousness, Extraversion, Agreeableness and Neuroticism). In total, 1622 persons responded to a questionnaire, including measures of online shopping of medicines and personality traits. Our findings indicated that online shopping of medicines is associated with high degree of Openness and Neuroticism. The study relies on two different personality inventories that revealed the same result. 

Computers can now carry out tasks, by first learning from being given examples, rather than just doing exactly what they are told, this is often referred to as Machine Learning or AI. This has given almost endless possibilities what these machines can ultimately do. At the same time, it also gives us many threats and things to worry about from a safety, security and ethical point of view and voices are raised that we should control what AI is allowed to do by laws and regulations. By applying a Double loop Co-design approach to science this paper focusses on ChatGPT and researchers experience with effectiveness and ethics related to use o this tool. 3 workshops were conducted with totally 14 participants from 5 continents. Most of the respondents are positive and excited about what Chat GPT and AI can do for us, but they are also worried. The main concerns are that AI will do the creative and fun parts of our work and that it produces false facts. In conclusion, if applying a perspective conscious view of knowledge, AI can inspire human controlled creativity and informed decision making with multi-perspective views of reality. 

Introduction: This study analyzes the effects of personality traits on the stockpiling of groceries in the United Kingdom during the COVID-19 pandemic. The sample is representative of the UK population in terms of age, gender, and residential area. Methods: We collected the data through five rounds of web surveys during the spring of 2020 (N = 1025). We used the Big Five Inventory (BFI-10) to measure personality traits. We analyzed the data using independent t-Tests and logistic regression. Results: The independent t-Tests show that "stockpilers"have a higher degree of Neuroticism and a lower degree of Agreeableness and Conscientiousness than "nonstockpilers."Logistic regressions moreover show that differences in Neuroticism are related to other personality traits, and that differences in Agreeableness are largely related to age and residential area. The low degree of Conscientiousness among "stockpilers"remains, after we controlled for other factors in the model (i.e., personality traits, gender, age, and residential area). Discussion: We discuss the findings regarding previous research. Understanding personality traits and stockpiling is important to prepare and manage similar extraordinary situations that may occur in the future. 

The present study aimed to explore the online shopping of medicines from demographic, geographic, psychographic, and behavioral factors. A quantitative survey design was used with a quote sample representing the Swedish population regarding age, gender, and residential area. In total, 1863 persons responded to a survey, including measures of age, gender, income, education, area of residence, personality traits (BFI-10), values (Rokeach Value Survey), self-estimated health-status, internet usage, online shopping in general, and online shopping of medicines. Firstly, the data were analyzed with chi-squares and independent t-tests. From these initial analyses, online shopping of medicines was associated with young age, female gender, high income and education, living in a big city, extraversion, several values of desirable end-states of existence (e.g., self-respect, a sense of accomplishment, and pleasure), internet usage, and general online shopping. Secondly, the significant (p < 0.05) variables from the initial analysis were included in a logistic regression analysis. This comprehensive model showed that online medication shoppers are best predicted by being female and the use of internet. Unlike what was previously known about medication shoppers, the typical online medication shopper appears to be driven by hedonistic values and self-actualization, rather than health status. We suggest that further research replicate this study outside and inside Sweden, and that health status is measured in a different way. 

The aim is to investigate the value basis of Socially Responsible Retirement Investments (SRRI) in a study of Swedish pension investors in the age range 18 to 65 years (N=1005). Logistic regression analyses were performed with self-reported SRRI choice as dependent variable and different levels of values as independent variables. On a higher level of analyses, self-transcendent values, especially universalism (e.g., equality, protecting the environment, and social justice), have the most important influences on SRRI choice. In contrast, on a lower-level analysis, SRRI choice is influenced by self-enhancement values with high priority for authoritarian power and low priority for wealth. The three-level analysis of values (self-transcendence vs self-enhancement value orientation, motivational domain, and value) questions the contradiction between dimension poles of values and the structuring of values in interrelated motivational domains. The results thereby clarify some previous findings and increase the understanding of the value basis of SRRI.

We examine the influence of personality on car driving, usage of public transport and cycling. Personality is measured through the Big Five personality traits (i.e., Openness, Conscientiousness, Extraversion, Agreeableness and Neuroticism) and Environmental personality. Data were collected through a Web-based panel of adult citizen in the city of Gothenburg, Sweden (N = 1068). Age, gender, income, children at home and residential area were used as control variables. Car driving is influenced by low degree of Openness, high degree of Conscientiousness, and low degree of Environmental personality. Usage of public transport is influenced by low degree of Conscientiousness, high degree of Agreeableness, and high degree of Environmental personality. Cycling is foremost influenced by a high degree of Environmental personality.