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Gendered transitions to self-employment and business ownership: A linked-lives perspective
No full textInternational audienceWe apply the sociological lens of linked lives to show how household contexts channel transitions to self-employment in ways strongly differentiated by gender. We investigate the impact of demographic transitions to marriage, cohabitation and having children on thetransition to self-employment using fixed-effects models on 10 waves of the UK’s nationally representative survey, Understanding Society. Men’s transitions to self-employment and separately to business ownership are remarkably impervious to the arrival of a new child in the household. In contrast, second births raise the odds of self-employment for women and have astrong and statistically significant association with business ownership, highlighting the role of birth parity as a household influence. Within the subset of opposite-sex couples, lives are indeed linked: a partner’s long hours precipitate the other partner’s transition into selfemployment for men and women. However, the effect is asymmetric to the extent that womenare much more likely to have a partner working long hours. Marriage is associated with a much higher likelihood of transitioning to business ownership for both men and women, which does not hold for self-employment overall
Efficient frontiers for short-term sales of spot and forward wind energy in Texas
No full textInternational audienceTexas’s windfarm construction continues unabated, despite wind energy’s cannibalization effect on wind generation’s investment incentive and the rising popularity of short-term wind power purchase agreements (PPAs). Using ERCOT’s monthly data for Jan-2011 to Dec-2021, we develop spot energy price forecasts by time of day (TOD) and their standard deviations to derive the efficient frontiers (EFs) for spot and forward energy sales of a risk-averse windfarm developer under a short-term wind PPA of not more than 10 years. These EFs reveal a windfarm’s operating revenue forecast tends to increase with the PPA’s forward energy prices. Further, the windfarm’s revenue risk and forecast move in tandem, akin to the risk-return relationship rooted in Markowitz’s portfolio theory. Hence, the developer tends to sell 100% (< 100%) of the windfarm’s energy output at forward energy prices that are above (below) spot energy price forecasts by TOD for recovering wind generation’s levelized cost of energy
Dependence of green energy markets on big data and other fourth industrial revolution technologies
No full textInternational audienceThis paper analyzes the dependence and connectedness among fourth-industrial revolution technology markets (including big data and artificial intelligence, blockchain, and financial technology) and global and regional (US, Europe, and Asia) green energy markets. In particular, we consider the dynamic dependence among these markets in terms of both returns and volatility across different market conditions and investment horizons using the cross-spectral coherence and Quantile-VAR connectedness approach. Three main results emerge from our analysis. First, the return dependence is relatively stronger than volatility dependence and is stronger across most time scales among the technology markets and the European and Asian regional green energy indexes. Second, the return and volatility connectedness is stronger during extreme than normal market conditions. Unless under bullish market times, volatility connectedness appears smaller than return connectedness, implying that market volatility risks spread less forcefully among these markets than return risks under normal and bearish market periods. Third, geopolitical risks, business environment, economic policy, fixed-income, and oil and gold markets’ uncertainties are significant predictors of the degree of return and volatility connectedness. Overall, our findings offer crucial insights for short- and long-term investors interested in portfolios with modern technology and green assets. They also emphasize the roles of market and macroeconomic factors in shock propagation and their implications for low-carbon transition
Blockchain markets, green finance investments, and environmental impacts
No full textInternational audienceIn our study, we delve deep into the dynamics of blockchain markets and their ecological ramifications while also shedding light on the invaluable insights gleaned from a risk spillover analysis involving green finance investments, thereby broadening the spectrum of opportunities for portfolio diversification. Employing a robust framework grounded in copulas theory, we meticulously scrutinize the intricate interplay of risk transmission and the dependence structure of green financial products in relation to the blockchain market index. Our investigation, guided by the application of VaR and CoVaR measures, has unearthed compelling findings. We have discerned that the price fluctuations in the clean energy sector have wielded a substantial influence on the blockchain industry, particularly in the wake of the COVID-19 pandemic. Remarkably, our analysis reveals an absence of spillover effects between the blockchain and green bond markets, underscoring the tangible diversification advantages that investors can harness. This becomes pivotal in safeguarding their assets from the inherent risks associated with blockchain investments. Furthermore, we have conducted a rigorous regression analysis to uncover the nuanced relationship between the blockchain’s extreme downside risk factor and climate change risk. Notably, the robust coefficient associated with the climate change index serves as a clarion call to investors, environmental organizations, and policymakers alike. It beckons them to accord greater attention to environmental considerations when venturing into the blockchain markets, emphasizing the pressing need for environmentally responsible investments and policy decisions
Hesitant fuzzy linguistic preference consistency-driven consensus model with large-scale group interaction measure for venture capital investment selection
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Using advanced mixed methods approaches: Combining PLS-SEM and qualitative studies
No full textInternational audienceThe PLS-SEM method is a robust approach to researching consumer behavior. However, understanding a phenomenon only through a quantitative approach may not be sufficient in some situations. This work explains how PLS-SEM results can be enhanced by complementing a quantitative approach with other methods proposing an advanced mixed methods design. We provide an actionable guideline, illustrating the approach through three studies in a retail context and using both an exploratory and intervention design. Our results show how exploratory studies help produce relevant contingent concepts for PLS-SEM testing. Building on PLS-SEM findings, a final qualitative study offers fine-grained intervention insights. We present a checklist for researchers on integrating advanced mixed methods and PLS-SEM
It's a pleasure to stay sustainably: Leveraging hedonic appeals in tourism and hospitality
No full textInternational audienceThe tourism sector is actively exploring methods to reduce its adverse environmental impact. Our study introduces hedonic appeals as a novel approach to encourage guests to reduce their room cleaning requests. We contend that combining this approach with sustainable appeals is at least as effective as the previously identified most effective strategy, namely providing guests with financial incentives. The effectiveness of hedonic appeals is channeled through guest value creation. Our empirical evidence – involving a field experiment at a European hotel and a lab experiment – supports the proposed effects and explanation mechanisms. We also demonstrate that our new strategy is the most profitable by introducing a profitability index that considers room cleaning requests, monetary investments, and side effects. We therefore recommend hotels to adopt this cost-effective strategy to reduce room cleaning requests without affecting overall guest satisfaction
Technology-enabled multi-sided platforms in B2B relationships: A critical analysis and directions for future research
No full textInternational audienceThe concept of Multi-Sided Platforms (MSPs) has significantly impacted the management field by facilitating interactions between distinct, interdependent groups, revolutionizing numerous industries. While extensive research has examined platform models, further exploration of MSPs in Business-to-Business (B2B) settings, particularly at the supply chain level, remains necessary. This paper critically examines the role of technology-enabled MSPs within B2B environments, highlighting their distinct challenges and opportunities for supply chain ecosystems. We review existing literature on B2B platforms, classifying studies according to the main platform typologies: transactional, innovation, and orthogonal. We identify three key roles these platforms play in supply chain management: enabling information sharing and collaboration, enhancing existing processes, and supporting transformation. Additionally, we investigate five central themes in B2B relationships: power dynamics and governance, resource allocation and optimization, communication dynamics, competence development and learning, and resilience and adaptability. The findings underscore the transformative potential of MSPs in B2B contexts, particularly in driving innovation, improving operational efficiencies, and creating new forms of value. These insights also serve to introduce the eight papers in this special issue and frame three propositions for future research
When powerful artificial intelligence backfires
No full textInternational audienceDespite recent advancements in artificial intelligence (AI) in hospitality, little is known about its unintended consequences on consumers’ privacy concerns. Through an empirical package combining qualitative and quantitative evidence, this research reveals that framing AI as “powerful” enhances privacy concerns (Studies 1–5) by reducing AI-control over data (Study 3). Notably, such effects are reduced in consumer-human agent interactions and increased in consumer-AI ones (Study 4). Finally, interventions providing privacy guarantees can reduce privacy concerns stemming from powerful artificial agents and enhance willingness to disclose data (Study 5). Our findings highlight the unique issues arising from human-AI interactions when using powerful AI and their influence on consumers’ privacy concerns and provide practical implications for hospitality managers