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The purpose of this paper is to demonstrate the usefulness of the “audience exchange” approach for audience development and research, and to highlight the insights offered by peer-to-peer dialogue in understanding experiences of unfamiliar arts.

Using a case study with contemporary arts audiences, and setting this in the wider context of studies with other first-time attenders at a range of arts events, the paper explores the use of the “audience exchange” method, in which facilitated conversations after performance events allow newcomers to reflect upon and deepen their first-time encounters with live arts.

The study demonstrates the way in which conversations about arts events can enrich audience experience, and shows how participants use exploratory and emotional language to articulate their understanding of unfamiliar arts events. Peer-to-peer learning occurs through these conversations, in ways that could be further supported by arts organisations as a valuable tool for audience development. The audience exchange discussions also reveal the varieties of participation from “drifting” to full attention that are all part of audience engagement.

This is a small-scale, qualitative study, and the method has potential to be tested in future studies with a greater variety of participants (e.g. younger or more ethnically diverse groups).

Use of the audience exchange for enriching experiences of first-time attendance could be adopted by arts organisations as a regular part of their audience engagement. Greater understanding of how new audience members draw on prior cultural experiences in finding the language to articulate their first impressions of an unfamiliar arts event could be valuable for targeted marketing and increasing accessibility.

The originality of this study lies in its elaboration of the audience exchange method, and its focus on the language and peer-to-peer learning evident in the facilitated post-performance discussions.

Purpose: This chapter analyses the effects of social stratification and inequalities on the outcomes of transnational mobilities, especially on the educational trajectory of returning migrant children.

Study approach: It places the Bourdieusian capital concepts (Bourdieu, 1977, 1984) centre stage, and analyses the convertibility or transferability of the cultural and social capital across different transnational locations. It examines the serious limitations of this process, using the concept of non-dominant cultural capital as a heuristic analytical tool and the education system (school) as a way of approaching the field. As we examine ‘successful mobilities’ of high-status families with children and racialised low-status families experiencing mobility failures, our intention is to draw attention on the effect of the starting position of the migrating families on the outcomes of their cross-border mobilities through a closer reading of insightful cases. We look at the interrelations of social position or class race and mobility experiences through several empirical case studies from different regions of Hungary by examining the narratives of people belonging to very different social strata with a focus on the ‘top’ and the ‘bottom’ of the socio-economic hierarchy. We examine the transnational mobility trajectories, strategies and the reintegration of school age children from transnationally mobile families upon their return to Hungary.

Findings: Our qualitative research indicates that for returning migrants not only their available capitals in a Bourdieasian sense but also their (de)valuation by the different Hungarian schools has direct consequences on mobility-affected educational trajectories, on the individual outcomes of mobilities, and the circumstances of return and chances for reintegration.

Originality: There is little qualitative research on the effects of emigration from Hungary in recent decades. A more recent edited volume (Váradi, 2018) discusses various intersectionalities of migration such as gender, ethnicity and age. This chapter intends to advance this line of research, analysing the intersectionality of class, ethnicity and race in the context of spatial mobilities through operationalising a critical reading of the Bourdieusian capitals.

Regulatory initiatives and related technological shifts have been imposing restrictions on data-driven marketing (DDM) practices. This paper aims to find the main restrictions for DDM and the key management theories applied to investigate the consequences of these restrictions.

The authors conducted a unified bibliometric analysis with 104 publications retrieved from both Scopus and Web of Science, followed by a qualitative, in-depth systematic literature review to identify the management theories in literature and inform a research agenda.

The fragmentation of the research outcomes was overcome by the identification of 3 main clusters and 11 management theories that structured 18 questions for future research.

To the best of the authors’ knowledge, this paper sets for the first time a frontier between almost three decades where DDM evolved with no significative restrictions, grounded on innovations and market autoregulation, and an era where data privacy, anti-trust and competition and data sovereignty regulations converge to impose structural changes, requiring scholars and practitioners to rethink the roles of data at the strategic level of the firm.

The purpose of this paper is to compare different models’ performance in modelling and forecasting the Finnish house price returns and volatility.

The competing models are the autoregressive moving average (ARMA) model and autoregressive fractional integrated moving average (ARFIMA) model for house price returns. For house price volatility, the exponential generalized autoregressive conditional heteroscedasticity (EGARCH) model is competing with the fractional integrated GARCH (FIGARCH) and component GARCH (CGARCH) models.

Results reveal that, for modelling Finnish house price returns, the data set under study drives the performance of ARMA or ARFIMA model. The EGARCH model stands as the leading model for Finnish house price volatility modelling. The long memory models (ARFIMA, CGARCH and FIGARCH) provide superior out-of-sample forecasts for house price returns and volatility; they outperform their short memory counterparts in most regions. Additionally, the models’ in-sample fit performances vary from region to region, while in some areas, the models manifest a geographical pattern in their out-of-sample forecasting performances.

The research results have vital implications, namely, portfolio allocation, investment risk assessment and decision-making.

To the best of the author’s knowledge, for Finland, there has yet to be empirical forecasting of either house price returns or/and volatility. Therefore, this study aims to bridge that gap by comparing different models’ performance in modelling, as well as forecasting the house price returns and volatility of the studied market.

This paper aims to analyse the volatility of the fixed income market from 11 countries (Brazil, Russia, India, China, South Africa, Argentina, Chile, Mexico, USA, Germany and Japan) from January 2000 to December 2011 by examining the interbank interest rates from each market.

To the volatility of interest rates returns, the study used models of auto-regressive conditional heteroscedasticity, autoregressive conditional heteroscedasticity (ARCH), generalized autoregressive conditional heteroscedasticity (GARCH), exponential generalized autoregressive conditional heteroscedasticity (EGARCH), threshold generalized autoregressive conditional heteroscedasticity (TGARCH) and periodic generalized autoregressive conditional heteroscedasticity (PGARCH), and a combination of these with autoregressive integrated moving average (ARIMA) models, checking which of these processes were more efficient in capturing volatility of interest rates of each of the sample countries.

The results suggest that for most markets, studied volatility is best modelled by asymmetric GARCH processes – in this case the EGARCH – demonstrating that bad news leads to a higher increase in the volatility of these markets than good news. In addition, the causes of increased volatility seem to be more associated with events occurring internally in each country, as changes in macroeconomic policies, than the overall external events.

It is expected that this study has contributed to a better understanding of the volatility of interest rates and the main factors affecting this market.

Este estudio analiza la volatilidad del mercado de renta fija de once países (Brasil, Rusia, India, China, Sudáfrica, Argentina, Chile, México, Estados Unidos, Alemania y Japón) de enero de 2000 a diciembre de 2011, mediante el examen de las tasas de interés interbancarias de cada mercado.

Para la volatilidad de los retornos de las tasas de interés, se utilizaron modelos de heteroscedasticidad condicional autorregresiva: ARCH, GARCH, EGARCH, TGARCH y PGARCH, y una combinación de estos con modelos ARIMA, comprobando cuáles de los procesos eran más eficientes para capturar la volatilidad de interés de cada uno de los países de la muestra.

Los resultados sugieren que para la mayoría de los mercados estudiados la volatilidad es mejor modelada por procesos GARCH asimétricos —en este caso el EGARCH— demostrando que las malas noticias conducen a un mayor incremento en la volatilidad de estos mercados que las buenas noticias. Además, las causas de una mayor volatilidad parecen estar más asociadas a eventos que ocurren internamente en cada país, como cambios en las políticas macroeconómicas, que los eventos externos generales.

Se espera que este estudio contribuya a un mejor entendimiento de la volatilidad de las tasas de interés y de los principales factores que afectan a este mercado.

Ingreso fijo, Volatilidad, Países emergentes, Modelos ARCH-GARCH

Artículo de investigación

The authors aimed to contribute to the interface of comparative international entrepreneurship and international marketing by exploring the micro-foundations and micro-processes of network bricolage aimed at international market entry among the entrepreneurs of small biotechnology firms. The research questions of the study are (1) How do the international entrepreneurs of small firms act and use their domestic and/or international networks for new market entry? (2) How are the micro-foundations and micro-processes of networking similar or different between individuals from different countries?

A qualitative research design was used to investigate six cases from different countries of origin, looking at the micro-foundations and micro-processes underlying international market entry undertaken by entrepreneurs from Canada, Finland and New Zealand.

The micro-foundations for network bricolage by international entrepreneurs were taken to involve features of the country of origin, including market size and location, and the usefulness of the official language of the nation. The micro-processes were taken to involve the international entrepreneur’s network bricolage actions (i.e. collaborating and generating, obtaining and applying, reaching and maintaining, and seeking and reviewing), while encompassing also the location of their networks (domestic and/or international) and the operational domains these belonged to (R&D, funding, sales channel and customer). The study categorised three types of international entrepreneurs undertaking new market entry, illustrating cross-national differences: (1) sales-channel-oriented seekers, (2) funding-oriented riders and (3) customer-oriented hunters.

The study contributes to research on comparative international entrepreneurship and international marketing. This findings show that national-level micro-foundations influence the actions of network bricolage, the importance of various operational domains and the location of the network ties used. This main contribution is a conceptual model based on our cross-national investigation of international entrepreneurs’ networking actions. The authors reveal the micro-foundations and micro-processes relevant to international entrepreneurs’ network bricolage for new market entry, and present examples of international entrepreneur types emerging from our cross-national setting.