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Several dimensions of public governance occur while approaching the Shadow Economy (SE) phenomenon. The purpose of this paper is to study the SE by means of the European governance analysis by highlighting the main features of implications of the policy options. A statistical significance on the nexus between public governance and the SE appears with respect to the indicators taken into consideration except for the dimensions related to the tax system, which appear to be moderate in magnitude in terms of their effects.

In order to evaluate data from 32 European Union countries during 2011, a hierarchical component model (HCM) in the context of the structural equation model (SEM) partial least squares (PLS) is utilised. Two different procedures are considered: a two-stage approach (TSA) and the repeated indicators approach (RIA).

The two procedures (RIA and TSA) proposed in the model have about the same impact on the SE. Evidence suggests that the manifest variables joined to the regulatory system, business regulation and wealth level significantly affect the SE. In contrast, different dimensions connected to the tax system need to be considered to avoid that there be no significant effects on the SE from taxes.

A critical evaluation of the policy implications of the results are included, by focusing on the effects on the SE.

This paper suggests where more emphasis should be placed when referring to the statistical results in dealing with the SE.

To the authors’ knowledge, this is the first attempt to explore the SE while using an HCM (also known as higher order model) performed in a SEM-PLS procedure. The model proposed discerns the relevance and the marginal impact of several dimensions of policy interventions.

The purpose of this paper is to investigate the determinants of users' intention to continue to invest in cryptocurrencies. The paper also aims to examine the impact of hedonic motivation and the legal environment on perceived value in cryptocurrencies.

A questionnaire was designed to obtain data from 258 respondents in UAE. The Structural Equation Modeling – Partial Least Squares (SEM-PLS) was used to evaluate the research model and test the hypotheses.

The results of smart PLS path analysis showed that perceived value, hedonic motivation, gambling attitude, and price volatility were significant determinants of the continued intention to invest in cryptocurrency. This study also revealed that hedonic motivation enhances perceived value and improves the perception of cryptocurrencies value from user's perspective.

This study provides new insights into the literature on cryptocurrencies adoption, and delivers advanced understanding about the determinants of user's intention to continue investing in cryptocurrencies. In addition, the study provides important practical implications for cryptocurrencies companies to promote this financial technology to users by enhancing the knowledge of policy makers about how investors think and get motivated towards a continued investment of cryptocurrencies.

The purpose of this paper is to understand the impact of network relationship strength and subsidiary initiatives on the headquarters value added and performance in foreign-owned subsidiaries.

This study is based on survey data collected from foreign-owned subsidiaries located in Thailand. The authors use symmetric structured equation modelling partial least squared (SEM-PLS) and asymmetric fuzzy set qualitative comparative analysis (fsQCA) techniques to analyse the data.

The authors found that intra-organisational relationship strength is one of the key determinants for high headquarter value added. They also found that headquarter value added plays a crucial role in explaining subsidiary performance. The role of subsidiary initiatives seem overall less pronounced than initially thought.

The originality of this study lies in the conceptual framework based on networks and subsidiary initiatives. This is one of the few studies that empirically tests headquarters value-added determinants in subsidiaries located in an emerging market. Furthermore, the authors use SEM-PLS and fsQCA to look beyond more commonly tested symmetric associations.

The purpose of this study is to explore the moderating role of information technology (IT) practices in the increase of organizational capacity for generating innovation performance from its relational (internal and external) capital and trust capital.

Survey data has been collected from 102 publicly listed enterprises in Taiwan and is analysed by using symmetric structural equation modelling–partial least squares (SEM–PLS) and asymmetric fuzzy set qualitative comparative analysis (fsQCA) techniques.

The findings derived from SEM–PLS show that internal relationships and trust embedded in firms' relationships play a significant role in the innovation performance of Taiwanese enterprises, and reveal a more closed approach to innovation. The results also confirm the important role of IT advancement in amplifying the effect of internal and external relationships and trust formation on innovation performance. One more interesting note, the integration of fsQCA demonstrates several configurations that lead to superior innovation performance.

The study was limited to Taiwanese companies with at least 200 employees. It might well be that the economically significant small business sector has distinct relationships with stakeholders, trust building strategies and IT practices, and that innovation performance depends on other macroeconomic effects. This study combines symmetric (SEM–PLS) and asymmetric (fsQCA) techniques to improve our understanding of the complementarities between relational and trust capital, and IT practices, and identify configurations that could yield organizational benefits for innovation outcomes.

This study provides new knowledge about IT utilization in the workplace which practitioners may use to capitalize on internal and external networks and enhance innovation performance.

Exploring together intellectual capital (IC) components and IT practices, this study merges IC and knowledge management (KM) streams of literature and adds to the prominent discussion on how IC and technology-based KM together contribute to superior innovation performance. In introducing the notion of equifinality, and testing our hypothesis by applying fsQCA, we also provide new ground for methodological discussions in the field of innovation performance.

This article intends to investigate on the undeclared work (UW) by involving several features, which can be evaluated throughout a set of appropriate variables. The REBUS-PLS (Response Based procedure for detecting Unit Segments–Partial Least Squares) has been proposed in order to support policy decisions targeted to this heterogeneous scenario. The authors refer to Italy, due to the disparity of its territorial districts, but the conclusions can be extended to different European countries.

A total of 2,877,000 firms has been involved for empirical analysis. The manifest variables have been obtained by fixing both NACE codes and the NUTS2 level.

The analysis confirms that the model is suitable to evaluate the effects of the indicators connected to ‘Labour force’, ‘Tax system’, ‘Non-Profit Organizations’, and ‘Migrants’. Special prominence has been dedicated to the labour inspections' features.

If the management designs the policy actions by using the model proposed, a critical evaluation of the implications is needed, by focusing different perspectives and several weaknesses.

Assuming that the Italian regions are relatively homogeneous, results reveal no significant correlations to the UW, except for the taxes. In contrast, the involvement of the heterogeneity shows that the UW significantly depends on the changes of Labour force, Tax system and NPOs dimensions, in 11 out of 18 Italian regions. No clear evidence emerges from Migrants feature, which seems to have a negatively impact on the UW.

To the authors' knowledge, compared to the previous research papers, the analysis of the UW via REBUS-PLS and the mentioned manifest variables, has never been undertaken so far.

This study aims to investigate the effect of knowledge hiding on individual task performance and examine the moderating influence of transformational leadership.

This study included 256 participants employed by financing companies in Indonesia. In addition, to analyze the data, descriptive statistics were computed using SPSS 25, and the structural equation model-partial least square (SEM-PLS) was used for hypothesis testing.

The findings revealed the negative effects of knowledge hiding on individual task performance and its potential consequences for individuals and organizations. However, it also suggested that transformational leadership may not be sufficient to reduce the negative effects of knowledge hiding on individual task performance.

This study only focused on the context of a specific industry or country, which limited the generalizability of the findings.

This study enriches the understanding of the importance of addressing knowledge-hiding behaviors and investigating additional factors that can enhance task performance in organizations.

This study adds value to the existing literature by emphasizing the importance of investigating supplementary factors other than transformational leadership that have the potential to reduce the negative effects of knowledge hiding on organizational performance.

This study aims to empirically examine the impact of perceived risks, optimism and financial literacy on trust and the perceived value of cryptocurrencies. It will also examine the impact of trust on the perceived value of cryptocurrencies.

A quantitative approach is followed. A questionnaire was designed to collect data from 308 respondents in Jordan. The Structural Equation Modeling – Partial Least Squares (SEM-PLS) method was used to evaluate the research model and test hypotheses.

The results of PLS algorithm analysis showed that perceived risks negatively impact the optimism and trust in cryptocurrencies. This study revealed that while financial literacy minimizes the perceived risks, it serves to enhance optimism and improve the perception of the value of cryptocurrencies. Furthermore, the findings of this study show that optimism plays a significant role in trust and perceived value.

This study provides new insights into the literature on cryptocurrencies adoption, blockchain theory, the theory of trust in financial systems, the role of the optimism factor and the perception of the value of cryptocurrencies. It also provides important practical implications for different stakeholders.

The paper aims to investigate how perceived psychological benefits from employee participation in corporate social responsibility activities affect organizational citizenship behavior across two Asia–Pacific countries with different national cultures.

A stakeholder relationship model, based on social exchange theory, underpinned the investigation that also tested the mediating role of organizational pride. In a cross-cultural context, data were collected from 319 full-time employees in Thailand and the US and analyzed with SEM-PLS.

Anticipated psychological benefits of hedonic value and perceived community value were found to be significant antecedents of organizational citizenship behaviors, operationalized as customer-directed CSR advocacy. Organizational pride played a partial mediating role.

This study addresses a lack of micro-level CSR research into the relationship between psychological benefits of employee participation in CSR and organizational citizenship behavior. Specifically, this is the first study to link CSR drivers with customer-directed employee advocacy of the firms CSR activities. The study is also the first to compare relationships between an Asian and Western context for CSR drivers of organizational citizenship behaviors.

The purpose of this study is to determine the metric properties of a questionnaire that evaluates environmental and ecological purchasing behavior, environmental personal norms, environmental identity and environmental social influence.

The validity and reliability of the scales of the questionnaires were determined in a sample of 2445 consumers from Lima (Peru), selected through non-probabilistic sampling by quotas and by factorial analysis based on Classical Theory of Tests (CTT) and Structural Equations of Variance with Partial Least Squares (SEM-PLS).

The results support the construct and discriminant validity of the instrument, as well as the internal consistency of all the subscales (Cronbach’s alpha between 0.662 and 0.8887 – composite reliability between 0.815 and 0.917).

Customers evaluated were only from Lima city. It would be important to evaluate, in future research, customers from other cities in Peru.

Although a large number of instruments have been designed, not all are based on integral theoretical models, and their metric properties were determined with methodological criteria that restrict their applicability. Therefore, there is a need to have valid and reliable instruments for the identification of environmental behavior and ecological purchasing.

This “new questionnaire” integrates the exploration of environmental behavior and ecological purchasing, along with the measurement of personal environmental norms, environmental identity and the social influence received from peers and teachers, to provide a comprehensive picture of the consumer behavior.

This research constitutes a theoretical and practical contribution to the understanding and evaluation of ecological behavior and some of its associated factors. Its main contribution is the adaptation of this instrument to the Peruvian context and the validation of an instrument that evaluates environmental and ecological purchasing behavior, personal environmental standards, environmental identity and environmental social influence.

This research aimed to examine the impact of input, process, output, productivity and outcome variables on university research performance and the indicators that represent them in order to improve academic quality and contribute to government policy.

The quantitative approach was used through a survey method that obtained samples using questionnaires from 150 leaders of research institutions and continued analysis using the structural equation modeling-partial least square (SEM-PLS) to test the developed model.

Except for the relationship between process and productivity variables, all variable relationships had a positive and significant effect. Furthermore, the input, process, output, productivity and outcome variables each include seven, twelve, four and ten indicators.

This study has several ramifications because it provides a clear policy input and advances science. As a prelude to developing research performance assessment tools that take into account variances in a tertiary institution, this research aids in the implementation of national policies for assessing research performance in postsecondary institutions.

To improve the accuracy of the information acquired, we conducted a survey among the heads of research units at various higher-ranking Indonesian universities, taking into consideration their skill and experience in leading research organizations and conducting research. Other than that, our belief in the originality of our manuscript is strengthened by the way we applied systems theory to construct a performance evaluation model that examines each contribution made by each system aspect.