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The purpose of this paper is to emphasize the risks involved in modeling inflation volatility in the context of macroeconomic policy. For countries like Ghana that are always battling economic problems, accurate models are necessary in any modeling endeavor. We estimate volatility taking into account the heteroscedasticity of the model parameters.

The estimations considered the quasi-maximum likelihood-based GARCH, stochastic and Bayesian inference models in estimating the parameters of the inflation volatility.

A comparison of the stochastic volatility and Bayesian inference models reveals that the latter is better at tracking the evolution of month-on-month inflation volatility, thus following closely the data during the period under review.

The paper looks at the effect of parameter uncertainty of inflation volatility alone while considering the effects of other key variables like interest and exchange rates that affect inflation.

Economists have battled with accurate modeling and tracking of inflation volatility in Ghana. Where the data is not well-behaved, for example, in developing economies, the stochastic nature of the parameter estimates should be incorporated in the model estimation.

Estimating the parameters of inflation volatility models is not enough in a perpetually gyrating economy. The risks of these parameters are needed to completely describe the evolution of volatility especially in developing economies like Ghana.

This work is one of the first to draw the attention of policymakers in Ghana towards the nature of inflation data generated in the economy and the appropriate model for capturing the uncertainty of the model parameters.

The increasing demand for fashion-augmented reality (FAR) in online fast fashion shopping has the potential to reduce soil and water pollution. Hence, it is vital to understand the success factors that influence consumers’ intention to use FAR (IAR) and actual usage of FAR (UAR) to enhance its adoption.

By incorporating the unified theory of acceptance and use of technology, this study examined the influence of success factors on IAR, the effect of IAR on UAR and the mediating role of IAR in the relationship between success factors and UAR. In total, 803 responses were collected from Indonesia using a cross-sectional approach. Data were examined using partial least squares structural equation modelling.

Their findings revealed that perceived enjoyment, perceived service value and facilitating conditions significantly influenced IAR and UAR. However, the impacts of perceived functional benefits, lifestyle compatibility and perceived trust were insignificant. Nevertheless, the IAR has a significant influence on UAR. Finally, the IAR mediates the relationships among perceived enjoyment, perceived service value, facilitating conditions and UAR.

This study provides valuable insights for practitioners to develop marketing strategies and improve consumer perceptions of FAR, particularly in emerging economies. One limitation of this study is that it exclusively examined young consumers and restricted the examination to specific aspects of consumer behaviour.

Integrating the unified theory of acceptance and use of technology and partial least squares structural equation modelling provides a comprehensive understanding of the underlying dynamics and sheds light on the success factors that drive consumer IAR into UAR and contribute to Sustainable Development Goal 12 by reducing soil and water pollution.

In the current landscape of the beverage market, craft beer has secured a prominent position, attracting consumers seeking high-quality products with distinctive characteristics. This study aims to identify the key drivers of consumer preferences for craft beer attributes.

Conjoint analysis and cluster segmentation were employed to analyze the preferences of 351 Italian craft beer consumers.

The preferences of a representative sample were analyzed to identify the utilities associated with various beer attributes, including colour, alcohol level, body, raw material origin and price. The findings indicate that colour is the most highly valued attribute, followed by price and alcohol level. Consumers prefer beers with a lighter colour, a moderate alcohol level between 5 and 7% and an affordable price. Furthermore, beers that emphasize the Italian origin of raw materials are appreciated, demonstrating a strong link with local identity. The segmentation of the sample into three clusters revealed significant differences in preferences. The first cluster preferred light beers at medium prices, the second for amber beers at low prices and the third opted for dark and full-bodied beers.

The findings of this study provide valuable insights for craft beer producers seeking to refine their marketing strategies and product development. Producers can better meet consumers’ evolving preferences by better understanding the diverse needs of consumers and optimizing their offerings in an increasingly competitive market.

This study explores features that impact consumers' purchase intention through artificial intelligence (AI), because it is believed that through artificial intelligence, consumers' intention to purchase grows significantly, especially in the retail sector, whereby retailers provide lucrative offers to motivate consumers. The study develops a theoretical framework based on media-richness theory to investigate the role of perceived anthropomorphism toward an intention to purchase products using AI.

The study is based on cross-sectional data through an online survey. The data have been analyzed using PLS-SEM and SPSS PROCESS macro.

The results show that consumers tend to demand anthropomorphized products to gain a better shopping experience and, therefore, demand features that attract and motivate them to purchase through artificial intelligence via mediating variables, such as perceived animacy and perceived intelligence. Moreover, trust in artificial intelligence moderates the relationship between perceived anthropomorphism and perceived animacy.

The study investigates and concludes with managerial and academic insights into consumer purchase intention through artificial intelligence in the retail and marketing sector.

Since buying slow fashion can be both a rational choice and socially reactive behavior, this study adopts the prototype willingness model to predict Flemish young adults’ slow fashion consumption.

An online survey was administered to consumers aged 18–25 years old (N = 264). Confirmatory factor analysis and structural equation modeling were used to analyze the data.

Attitude and descriptive norm predicted intention to buy slow fashion, which in turn predicted current self-reported slow fashion consumption. Injunctive norm, prototype favorability and prototype similarity predicted socially reactive willingness to buy slow fashion.

The sample is predominantly female and higher educated. The results were partially in line with the PWM, indicating that the model is suitable for predicting young adults’ self-reported slow fashion consumption.

Slow fashion brands might benefit from increasing the visibility of slow fashion consumption and the occurrence of socially reactive shopping situations as well as improving the prototypical image of slow fashion consumers and the perception of what others approve.

Prior research generally uses rational behavioral models to predict slow fashion consumption. This study is the first to apply the PWM to slow fashion consumption, accounting for rational (i.e. reasoned) and non-rational (i.e. socially reactive) decision-making. Furthermore, this study argues the relevance of “prototypes” in sustainable decision-making.

This study aims to investigate the dual impact of anger on decision-making, addressing the gap in understanding its paradoxical nature in entrepreneurial contexts.

Using an integrative approach, this study synthesises insights from the appraisal theory of emotion, affect infusion model, emotional intelligence framework, broaden-and-build theory and resource-based view to provide a comprehensive review and analysis of entrepreneurial anger and its psychological foundations.

Anger exhibits a paradoxical duality influencing entrepreneurial decision-making and behaviour. This duality manifests across several dimensions. Cognitively, it can sharpen focus or lead to fixation; emotionally, it may energise or overwhelm; motivationally, it can spur action or provoke recklessness; volitionally, it may enhance determination or induce impulsivity; and behaviourally, it can lead to strategic assertiveness or reactive aggression.

Although this theoretical examination reveals the paradoxical nature of entrepreneurial anger, future empirical studies are needed to explore its temporal evolution, cross-cultural variances and interactions with other emotional states. This research should help validate the proposed dimensions and implications of entrepreneurial anger in real-world settings.

Understanding the paradoxical nature of entrepreneurial anger is vital for entrepreneurs. recognising its dual properties allows them to mitigate the anger’s negative consequences while leveraging its potential as a strategic asset. To transform anger into a strategic asset, entrepreneurs need to augment their self-awareness, hone emotion regulation skills and cultivate deliberation-based decision-making approaches. At an organisational level, entrepreneurs should foster a culture where emotions are openly acknowledged and addressed, as well as constructively managed. This can help turn anger into an entrepreneurial performance driver.

By promoting a deeper understanding of entrepreneurial anger, this research can foster healthier entrepreneurial ecosystems where emotions are acknowledged, understood and managed effectively, leading to more sustainable and harmonious entrepreneurial ventures.

This work offers a holistic conceptual analysis of entrepreneurial anger elucidating its paradoxical properties and implications.

Foreign construction subsidiaries play an important role in the global construction market. How to establish and maintain long-term sustainable performance has attracted increased attention, but only a few studies have considered this issue. The purpose of this study is to explore the relationship between autonomy and the sustainable performance of subsidiaries and to provide support for their management control modes.

From an institutional logics perspective, empirical research using a questionnaire survey was conducted following the methodological framework of this study. Relevant data were collected from 106 experienced managers of foreign construction subsidiaries, and the hypotheses were tested through a regression model.

The results show that foreign construction subsidiaries have a high degree of operational autonomy, which tends to strengthen their embeddedness in the host country and improve their sustainable performance. However, the role of strategic autonomy is not found to be significant. The moderation results show that the positive impact between operational autonomy and external network embeddedness is strengthened by institutional distance. Institutional distance has no significant moderating impact on the relationship between strategic autonomy and external network embeddedness, respectively.

Geographical limitations may exist as the survey is focused on the Chinese construction foreign subsidiaries. However, based on an institutional logics perspective, this study discusses the management control mode of foreign subsidiaries, which enriches the antecedents of sustainable performance and can provide an in-depth explanation of the effects of the organizational strategies of multinational construction enterprises.

This study provides beneficial information for the sustainable performance of foreign construction subsidiaries. It will provide detailed guidance to managers located in different institutional environments on optimally promoting the sustainable development of subsidiaries.

This study identifies autonomy as an important antecedent, making it one of the first studies investigating autonomy on the sustainable performance of foreign construction subsidiaries. The findings of this study can contribute to the construction subsidiaries' sustainable performance literature and provide novel, comprehensive knowledge for academia and practice.