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This study investigates how the interrelated elements of organizational roles – activities, motives, resources and relationships – are mobilized to construct a code of conduct for the proxy advisory (PA) industry in Europe.

This qualitative study uses archival documents from three consecutive regulatory consultations and 16 interviews with key stakeholders. It analyzes how different stakeholder groups (i.e. PA firms, investors, issuers and the regulator) perceive and mobilize the elements of PA firms’ role to construct the accountability regime’s boundaries (accountability problem and action, and users and providers of accounts).

This study shows how PA firms, investors, issuers and the regulator refer to the perceived motives behind PA firms’ activities to construct an accountability problem. The regulator accepted the motives of an information intermediary for PA firms’ role and required PA firms to develop a corresponding accountability action: a code of conduct. PA firms involved in developing the code of conduct formalized who is accountable to whom by aligning this accepted motive with their activities, relationships, and resources into a common role.

The study highlights how aligning role elements to reflect PA firms’ common roles enables the construction of an accountability regime that stakeholders accept as a means of regulation. Analyzing the role elements offers insights into the development and functioning of accountability regimes that rely on self-regulation. We also highlight the role of smaller regional firms in helping shape transnational accountability regimes.

The purpose of this paper is to explore the specific characteristics of consumers’ lived experience in a brand museum within a luxury context. While previous research has investigated this experience through the lens of brand heritage, the unique attributes and prestigiousness of the luxury field have not yet been examined. The authors argue that these distinctive features may alter the brand heritage experience in significant ways.

To understand the dimensions of a brand heritage experience in a luxury context, the authors applied a qualitative method using reflexive introspection. Specifically, the authors used 89 reflective introspections of 29 visitors of nine different luxury brand museums.

The findings indicate that a brand heritage experience in luxury is based on four dimensions: aesthetic, authentic, scientific and mythic. The data also reveal the heterogeneous aspect of the experience, which varies according to the level of consumers’ brand familiarity as well as whether the museum visit is led by a guide or not.

The authors contribute to the literature by emphasizing a new dimension of a brand heritage experience in luxury: a mythic dimension. This study also unveils the impact of contextual factors on the brand heritage experience.

Recent evidence from a linear econometric framework infers that housing search activity, captured from Google Trends data, can predict housing returns for the USA at a national and regional (metropolitan statistical area [MSA]) level. Based on search theory, the authors, however, postulate that search activity can also predict housing returns volatility. This study aims to explore the possibility of using online search activity to predict both housing returns and volatility.

Using a k-th order non-parametric causality-in-quantiles test allows us to test for predictability in a robust manner over the entire conditional distribution of both housing price returns and its volatility (i.e. squared returns) by controlling for nonlinearity and structural breaks that exist in the data.

The analysis over the monthly period of 2004:01 to 2021:01 produces results indicating that while housing search activity continues to predict aggregate US house price returns, barring the extreme ends of the conditional distribution, volatility is relatively strongly predicted over the entire quantile range considered. The results carry over to an alternative (the generalized autoregressive conditional heteroskedasticity-based) metric of volatility, higher (weekly)-frequency data (over January 2018–March 2021) and to over 84% of the 77 MSAs considered.

To the best of the authors’ knowledge, this is the first study regarding predictability of overall and regional US housing price returns and volatility using search activity, based on a non-parametric higher-order causality-in-quantiles framework, which is insightful to investors, policymakers and academics.

This paper provides a systematic review of literature pertaining to the welfare impact of financial inclusion. We identify the 50 most influential publications in the field that have evolved into three distinct categories, each of which we critically review to identify the main contributions of this research area.

By conducting a state-of-the-art literature review, this paper identifies the most influential papers in the research fields on the welfare impact of financial inclusion. One caveat is that as newer publications generally have fewer citations, reviewing prior work can result in a misleading account of emerging trends and research directions. Manual assessment of publications after 2018 facilitates a discussion of important emerging research trends and their directions.

The three key research streams are identified as financial services and financial accessibility, financial capability, and financial literacy and household welfare. By assessing publications from 2018 to 2023, we also document four key emerging research trends: Fintech and digital financial inclusion, sustainability and climate change, growth, poverty, income inequality, financial stability, and Entrepreneurship. Drawing on these emerging trends, we highlight the opportunities for future research.

Keyword searches have limitations as some papers might be overlooked if they do not match the specific search criteria, despite their relation and significance to the overall topic of the welfare impact of financial inclusion. To address this issue, we have expanded this review by incorporating more literature from other databases, such as the Scopus database which may alleviate this issue.

The three key research streams contribute to a comprehensive understanding of the welfare impact of financial inclusion. The emerging trends integrate existing knowledge and leave the chance for innovative research to expand the research frontier.

This paper fulfils the systematic literature review streams in the welfare impact of financial inclusion and provides fruitful opportunities for future research.

The purpose of the paper is to describe the attempt of a family champagne house to redefine its business organization as a family in a large family of families. This choice involves defining their activities as entrepreneuring in a specific time and space that all actors experience as their sensible reality. To describe the whole process, the authors call this ensemble a “chronotope,” including the same space and time as part of a common story. The authors assess this narrative strategy in reference to both past conflict in the champagne business and to the present crisis caused by the pandemic in addition to a series of social, economic and environmental changes in the environment.

The design of the paper corresponds to the case of a champagne family house in its environment with a longitudinal, processual approach of the family business venture before and especially after its sale and buyback by the family. The authors use Bakhtin to insist on the fictional nature of the account of most events as most protagonists adopt different perspectives. The Taittinger family, at the head of the trade house, creates a story that fits in all these perspectives and makes sense to overcome key issues in the business.

Our findings illustrate the role of the chronotope as a way to broaden the scope of inter- and intra-family relations. This concept also shows the importance of shared experiences, stories and crafted practices to sustain collective work and the meaning associated with the result of this work, in this case, champagne wine. The authors also show the different styles of chronotopes and their role in binding together actors in relation to the transformation of their activities.

The research limitations are of two kinds. The first limitation comes from the choice to focus on the Taittinger family house, as it tends to focus the analysis on their point of view. The second limitation is due to the persistence of the pandemic situation that makes it difficult to test the chronotope idea as it is quite recent. Because of the current pandemic, it is complicated to anticipate what the future could look like and therefore, to imagine the future dimension of the chronotope. To overcome this limit, the authors suggest different scenario that leaves open different possibilities.

The practical implications of this paper could be to see how family business entrepreneurs may benefit from designing their strategy as a rich personal fiction in reference to a chronotope instead of referring to storytelling, communication and brand management or even competition strictly speaking. In turbulent times and to face grand challenges, long-term collaborations require stronger ties and imagination without leaving out emotions. Yet the entrepreneurs may become a victim of their own fictions if stakeholders perceive contradictions or if they were to dislike the new episodes the family invents.

The social implications of this case study show the role of business relations built on fiction reflecting strong ties and shared processes such as entrepreneuring in the world of heritage goods where sustainability and endurance matter. This perspective insists on a shared story and it contrasts with more discontinued approaches based on disruptive innovation, opportunism and competitiveness in turbulent times. The chronotope does not ineluctably evolve in different ways, making actors’ perspective shrink, expand or exile. Family entrepreneuring may actively influence this transformation and they may also be framed by it.

The originality of the paper comes from the description of a family business in its environment as a chronotope. Reflecting how related actors in a business field like champagne co-construct a representation, the authors looked for a concept that would accurately reflect this vision, researchers chose the concept of “chronotope,” borrowing from narrative approaches. This approach is transdisciplinary. It is also an attempt to bring researchers at work closer to what actors in the field experiment with and find inspiration in.

The purpose of the study is to examine the factors that influence people's intention to adopt electric vehicles (EVs). The study used an expanded theory of planned behaviour (TPB) along with the addition of perceived trust and consideration of future consequences (CFC).

The study is based on primary data collected from 282 respondents in Punjab through a questionnaire. The collected data were analysed using SPSS 26 and AMOS 24 to perform confirmatory factor analysis and structural equation modelling.

The empirical analysis indicates that attitude, subjective norms and perceived trust have a significant influence on the adoption intention (AI) of EVs.

The implications provide policymakers and marketers with better insights into marketing EVs in the trajectory of sustainable mobility. Marketers should create focussed marketing materials that highlight the environmental ease of use, lower running costs and sophisticated technology of electric automobiles. The limitations of the study provide valuable insights for future researchers.

This is the first study that uses CFC with the TPB model in the context of AI of EVs specifically for the Punjab region.

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.