Kalyani Mangalika Lakmini Rathu Manannalage, Shyama Ratnasiri and Andreas Chai
While the monetary returns to education are well documented in the economics literature, the studies on non-monetary returns to education are scarce. The purpose of this study is…
Abstract
Purpose
While the monetary returns to education are well documented in the economics literature, the studies on non-monetary returns to education are scarce. The purpose of this study is to provide new insights into the non-market outcomes by exploring how education influences the food consumption choices of households and how these effects vary across different socio-economic groups using household-level calorie consumption data from Sri Lanka.
Design/methodology/approach
This study uses two waves of Household Income and Expenditure Surveys – 2006/2007 and 2016. The methods adopted in analysing the data were descriptive statistics and the OLS regression model.
Findings
The empirical results show that educated poor households pay less per calorie compared to non-educated poor households, highlighting the role of education in improving the ability to make better food choices and manage household budgets more economically.
Practical implications
This study informs policy-makers of the importance of education for formulating food and nutritional policies, which aim to raise the standard of living of resource-poor and vulnerable households in Sri Lanka as well as other developing countries with similar socio-economic conditions.
Originality/value
To the best of the authors' knowledge, this study is the first to explore the impact of education on the calorie consumption behaviour of people in the Sri Lankan context using nationwide household surveys.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-01-2022-0007
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Andrea Sestino, Adham Kahlawi and Andrea De Mauro
The data economy, emerging from the current hyper-technological landscape, is a global digital ecosystem where data is gathered, organized and exchanged to create economic value…
Abstract
Purpose
The data economy, emerging from the current hyper-technological landscape, is a global digital ecosystem where data is gathered, organized and exchanged to create economic value. This paper aims to shed light on the interplay of the different topics involved in the data economy, as found in the literature. The study research provides a comprehensive understanding of the opportunities, challenges and implications of the data economy for businesses, governments, individuals and society at large, while investigating its impact on business value creation, knowledge and digital business transformation.
Design/methodology/approach
The authors conducted a literature review that generated a conceptual map of the data economy by analyzing a corpus of research papers through a combination of machine learning algorithms, text mining techniques and a qualitative research approach.
Findings
The study findings revealed eight topics that collectively represent the essential features of data economy in the current literature, namely (1) Data Security, (2) Technology Enablers, (3) Business Implications, (4) Social Implications, (5) Political Framework, (6) Legal Enablers, (7) Privacy Concerns and (8) Data Marketplace. The study resulting model may help researchers and practitioners to develop the concept of data economy in a structured way and provide a subset of specific areas that require further research exploration.
Practical implications
Practically, this paper offers managers and marketers valuable insights to comprehend how to manage the opportunities deriving from a constantly changing competitive arena whose value is today also generated by the data economy.
Social implications
Socially, the authors also reveal insights explaining how the data economy features may be exploited to build a better society.
Originality/value
This is the first paper exploring the data economy opportunity for business value creation from a critical perspective.
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Milind Tiwari, Cayle Lupton, Ausma Bernot and Khaled Halteh
This paper aims to investigate technological innovations within the crypto space that have engendered novel financial crime risks and their potential utilization amidst…
Abstract
Purpose
This paper aims to investigate technological innovations within the crypto space that have engendered novel financial crime risks and their potential utilization amidst geopolitical conflicts.
Design/methodology/approach
The theoretical paper uses an analysis of recent geopolitical events, with a key focus on using cryptocurrencies to undertake illicit activities.
Findings
The study found that cryptocurrencies and the innovations made within the crypto domain are used for both legitimate and illicit purposes, including money laundering, terrorism financing and sanction evasion.
Originality/value
This research contributes to understanding the critical role cryptocurrencies play amidst geopolitical conflicts and emphasizes the need for regulatory considerations to prevent their misuse. To the best of the authors’ knowledge, this paper is the first scholarly contribution that considers the evolving mechanisms afforded by cryptocurrencies amidst geopolitical conflicts in undertaking illicit activities.
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Andrea Imperia and Loredana Mirra
Purpose: This chapter aims to understand what convergence means and why it is considered so crucial for the full admission of a state to the European Economic and Monetary Union…
Abstract
Purpose: This chapter aims to understand what convergence means and why it is considered so crucial for the full admission of a state to the European Economic and Monetary Union. Doing this will help understand what considerations of economic theory it is based on.
Need for study: To look into the Maastricht architecture, to point out its fragility during the last crises and the capability of the reforms adopted to reduce it, and to make European monetary union (EMU) more attractive for European Union (EU) members still outside it.
Methodology: The experiences of some countries that joined the EU from 2004 to today will be analysed to propose a synthesis from both a qualitative and quantitative perspective that highlights the paths taken by individual states and the processes currently underway.
Findings: The fragility of the EMU architecture became apparent during recent crises. The European Central Bank (ECB) took on new functions, and it became necessary to establish new financial institutions to operate beyond the Maastricht Treaty. Public budget control rules were suspended during the pandemic crisis, and a one-off transfer among states (Next-Generation EU) was adopted. This was an important precedent, but it was still far from the redistribution among states necessary for a political union.
Practical implications: In Maastricht architecture, there is no room for what is needed most by old and new members, that is, coordinated fiscal policies to stimulate aggregate demand, ensuring persistently high employment and production levels. The paths towards the welfare of European citizens, the increase in the sense of belonging to the same community, attracting new members and supporting financial stability all “converge” on the denominator of the Maastricht fiscal parameters.
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Debra R. Comer, Janet A. Lenaghan, Andrea Pittarello and Daphna Motro
We explored whether (1) an informational intervention improves ratings of individuals on the autism spectrum (IotAS) in a job interview by curbing salience bias and whether…
Abstract
Purpose
We explored whether (1) an informational intervention improves ratings of individuals on the autism spectrum (IotAS) in a job interview by curbing salience bias and whether expert-based influence amplifies this effect (Study 1); (2) the effect of disclosure of autism on ratings depends on a candidate’s presentation as IotAS or neurotypical (Studies 1 and 2) and (3) social desirability bias affects ratings of and emotional responses to disclosers (Study 2).
Design/methodology/approach
In two studies, participants, randomly assigned to experimental conditions, watched a mock job interview of a candidate presenting as an IotAS or neurotypical and reported their perception of his job suitability and selection decision. Study 2 additionally measured participants’ traits associated with social desirability bias, self-reported emotions and involuntary emotions gauged via face-reading software.
Findings
In Study 1, the informational intervention improved ratings of the IotAS-presenting candidate; delivery by an expert made no difference. Disclosure increased ratings of both the IotAS-presenting and neurotypical-presenting candidates, especially the former, and information mattered more in the absence of disclosure. In Study 2, disclosure improved ratings of the IotAS-presenting candidate only; no evidence of social desirability bias emerged.
Originality/value
We explain that an informational intervention works by attenuating salience bias, focusing raters on IotAS' qualifications rather than on their unexpected behavior. We also show that disclosure is less helpful for IotAS who behave more neuronormatively and social desirability bias affects neither ratings of nor emotional responses to IotAS-presenting job candidates.
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Matilde Milanesi, Giulia Monteverde, Andrea Runfola, Ivana Kursan Milaković and Simone Guercini
Fashion companies have been among the first to ride the new trend and develop projects for the Metaverse, considering Generation Z (Gen Z) as a relevant target. The paper aims to…
Abstract
Purpose
Fashion companies have been among the first to ride the new trend and develop projects for the Metaverse, considering Generation Z (Gen Z) as a relevant target. The paper aims to investigate Gen Z consumers’ intention to use digital fashion items in the Metaverse.
Design/methodology/approach
The study relies on the technology acceptance model (TAM). The authors include specific aspects of the Metaverse: the user-avatar identification and the development of an alternative identity; fashion innovativeness is discussed as a moderator variable. The model is tested on Gen Z consumers, with 329 survey responses collected in 2022 and analyzed using structural equation modeling (SEM).
Findings
The paper shows that the two external and explanatory variables the authors added, i.e. user-avatar identification and alternative identity, positively and directly impact the individual attitude to use digital fashion items in the Metaverse. Moreover, according to the proposed research model, the moderating effect concerning fashion innovativeness has positive and negative consequences.
Originality/value
Using TAM, the authors explored consumers’ perceptions (perceived usefulness and ease of use), attitudes and intentions regarding the new technology context (digital fashion in the Metaverse). This study enriched TAM with new consumer marketing constructs (user-avatar identification and alternative identity) and their relationships with consumers’ intention to use digital fashion items in the Metaverse. This study also contributed to TAM by exploring the relevance of moderating the effects of consumer fashion innovativeness on consumers’ intentions and attitudes in the novel context of digital fashion in the Metaverse. The paper contributes to the academic debate by focusing on the individual and personal sphere of the consumer moving in the Metaverse digital environment. The marketing-focused study develops research on Gen Z consumers to provide new insights and possible opportunities for marketers in the Metaverse.
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Andrea Mastrorilli, Ferdinando Paolo Santarpia and Laura Borgogni
Team-based work is increasing within organizations nowadays. Despite calls for differentiation between individual and team levels of analysis, research on leadership effects at…
Abstract
Purpose
Team-based work is increasing within organizations nowadays. Despite calls for differentiation between individual and team levels of analysis, research on leadership effects at multiple levels is still limited. By integrating the Conservation of Resources and Social Cognitive theories, this paper aims to analyze the relationships between coaching leadership, team collective efficacy and individual exhaustion via multilevel modeling.
Design/methodology/approach
This paper opted for an exploratory study testing a 2-2-1 multilevel mediational model, positing team collective efficacy as a key factor in mediating the relationship between coaching leadership at the team level and exhaustion at the individual level. The hypotheses were tested on a sample of 311 employees, nested in 72 teams (Msize = 5.70, SDsize = 2.82 team members) of a large Italian company that provides financial services.
Findings
Results supported the positive association between coaching leadership and team collective efficacy, which, in turn, was negatively associated with team members’ average score in exhaustion and fully mediated the effect of coaching leadership on exhaustion, even controlling for team design features (i.e. task interdependence and team virtuality). The association between coaching leadership and exhaustion was only indirect, explained by team collective efficacy.
Research limitations/implications
Because of the self-report nature of the measures and the cross-sectional nature of the data, this research results might raise problems of variance in common methods and not allow causal conclusions to be drawn. Therefore, researchers are encouraged to test the proposed propositions further.
Practical implications
This paper includes several practical implications for enhancing group efficacy beliefs, which have an impact on individual well-being within the team.
Originality/value
This paper addresses the lack of empirical findings on the multilevel nature of the relationship between coaching-based leadership, collective team effectiveness and individual exhaustion.