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This study examines how the human capital of former professional athletes impacts their entrepreneurial decision-making during the venture creation process. Using Human Capital Theory and the literature on entrepreneurial decision-making, this study explores how the dispositions, knowledge, and networks accumulated through an athletic career shape the reasoning logics through which former athletes
This study explored how entrepreneurial decision-makers interpret political uncertainty and how such uncertainty influences foreign market entry decisions. While prior research has demonstrated that political uncertainty affects firms’ investment behaviour and international activities, existing literature has primarily focused on large multinational enterprises and macro-level indicators of uncert
DN DEBATT 15/3. Sedan industrialiseringens början har vi använt omkring fyra femtedelar av den mängd fossilt kol som får förbrännas för att vi ska klara Parisavtalet. Vi har bara en femtedel kvar och det är bråttom att kraftigt reducera utsläppen. Det har Greta Thunberg och de strejkande ungdomarna förstått. Därför stödjer vi deras krav, skriver 270 klimatforskare.
The multi-zone modelling concept could be a good alternative to two-zone modelling and CFD modelling for some situations when performing fire safety designs. However, few such models exist, and the evaluation of the concept is scarce. This paper is dedicated to study the multi-zone modelling concept and its usefulness in fire safety engineering by benchmarking it against experimental data and simu
Children’s FinTech apps are digital mobile platforms that incorporate features for managing children’s financial activities ranging from the setting and tracking of chores, the payment of allowances or pocket money, the capacity for saving and spending, and the facilitation of investment options. As we show in this paper, a key aspect of these child money and finance apps is the inclusion of playf
Ground truth datasets play a fundamental role as reference values in the training and evaluation of machine learning models. This position paper argues that ground truths are not neutral objective measurements that are naturally given, but instead that they are constructed by arrangements of humans and technologies. We argue that the ML community will benefit from articulating and discussing these
To address the gap between global sustainability commitments and action, piecemeal solutions targeting singular impacts fall short. Interventions remain fragmented across sectors and frequently prioritize downstream remediation over upstream prevention. Emphasizing the pressing importance of moving toward more systemic approaches, this paper introduces an integrated sustainability hierarchy framew
