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We generalise the spectral EM algorithm for dynamic factor models in Fiorentini, Galesi, and Sentana (2014) to bifactor models with pervasive global factors complemented by regional ones. We exploit the sparsity of the loading matrices so that researchers can estimate those models by maximum likelihood with many series from multiple regions. We also derive convenient expressions for the spectral scores and information matrix, which allows us to switch to the scoring algorithm near the optimum. We explore the ability of a model with a global factor and three regional ones to capture inflation dynamics across 25 European countries over 1999–2014.

The purpose of this study is to provide empirical evidence on the impact of deviations from the long-run sustainable real exchange rate (RER) equilibrium on real economic growth rate applying panel autoregressive distributed lag model (ARDL) (Pooled Mean Group, Mean Group and Dynamic Fixed Effects estimators) in a dynamic heterogeneous panel setting and panel NARDL for the largest database covering 104 countries during 1995–2022 period developed by Couharde et al. (2017).

The EQCHANGE database makes available not only the equilibrium RER but also misalignments according to the Behavioral Equilibrium Exchange Rate approach for each country. One of the main objectives is to examine whether undervaluation or overvaluation RER can imply different responses on economic performance trying to differentiate between short and long run effects. Additionally, the authors consider the World Bank (WB)’s income classifications to compare the asymmetries attending to high-income, upper-middle-income, lower-middle-income and low-income levels.

Applying the panel ARDL technique, the results suggest that the RER misalignments have a negative but not significant effect on the short-run, nevertheless a negative and highly significant impact on real economic growth rate is detected on the long-run. Considering the panel NARDL, the asymmetric relationship between RER misalignment and economic growth rate is supported considering all countries in the long-run (in the short-term is not significant). In the long run is detected that undervaluation can promote economic growth rate, rather than overvaluation which can harm the economic performance. Additionally, the WB and the International Monetary Fund (IMF) income’s classifications have been applied and the long-run symmetry test is strongly rejected regardless of income group.

To the best of the author knowledge, this is the first time the non-linear panel ARDL methodology has been applied for analyzing the impact of deviations from the long-run sustainable RER equilibrium on real economic growth. This allows us to see the asymmetric effect not seen before. The panel ARDL estimation can efficiently performed regardless of the integration level of the variables, additionally, it is consistent even in the presence of endogeneity. Besides, another advantage of this method is that it is possible to reflect not only the short but also the long-run dynamics. Moreover, this analysis offers a comparison between linear panel ARDL and non-linear to compare the advantages from the former. Additionally, this study covers the largest database, in particular, 104 countries during the 1995–2022 period implemented with the Couharde et al. (2017) EQCHANGE database. Finally, it is compared the asymmetries attending to different income classifications.

Achieving good sustainability performance requires balancing higher economic profits with better environmental and social performance. Knowledge plays a key role in improving corporate sustainability performance, but this knowledge is becoming increasingly complex, specific and dispersed among many scientific, technological and business actors. Science and technology parks (STPs) are infrastructures designed to host varying types of organizations that can bring together new, disruptive knowledge. Our purpose is to unveil how these spaces can be drivers of sustainability performance for companies.

We test our hypotheses on a longitudinal database of Spanish companies over the period 2009–2016 using structural equation models (SEMs).

This research confirms that a firm’s location in an STP helps improve its sustainability performance, provided that conditions are optimal in the STP. These optimal conditions are based on an abundance of knowledge spillovers available to the firm and the firm’s ability to harness them, especially those of a more disruptive nature, through absorptive capacity.

Results of this study yield implications for academia in the form of future lines of research and practical implications for policymakers and managers of both STPs and the organizations that host them.

若要取得良好的可持續發展績效，我們必須以更佳的環境和社會績效來平衡更高的經濟利潤。知識在改善企業的可持續發展績效上發揮關鍵作用; 但知識對很多科學的、技術性的和商業的參與者來說，變得越來越複雜、特殊和分散。科技園是為集合嶄新而帶有顛覆性知識的各種不同組織提供軟硬體支援而設計的基礎設施。本研究擬顯露這些設施和場地如何能為企業推動其永續發展績效。

我們以結構方程模式、去測試有關涵蓋2009年至2016年期間西班牙企業的縱向數據庫的研究假設。

研究結果確認了只要在科技園內有最優良的環境和條件，企業在園內的位置是有助改善其永續發展績效的。這些最優良環境和條件是基於企業可得到的豐富的知識外溢，以及它們可透過其吸收能力去控制知識外溢的能力，特別是那些具更強顛覆性本質的知識外溢。

研究結果為學術界就未來的研究領域提供了啟示; 研究結果亦為科技園和主辦機構的政策制定者和經理、提供了實務方面的啟示。

Up to now, there has been little research on the impact of the external environment on recruitment practices of organizations, and in part it lags behind practice. The purpose of this paper is to rectify this by studying recent changes in recruitment practices of Danish organizations and the adoption of e-recruitment from a macro organizational perspective.

The study employs new institutional theory as a theoretical lens in order to understand how external pressures impact upon recruitment professionals and their practices. The empirical part is based on interpretive methods and the inductive analysis of data. The data were collected from a number of sources, such as exploratory interviews, observations, web sites, and other secondary material from 2008 to 2013.

The findings indicate that recruitment practices are strongly influenced by changes stemming from functional and social pressures of the wider society, such as the labour market and the penetration of the internet into Danish society. That is reflected in the widespread use of digital HRM in general, and e-recruitment in particular. The study concludes that the recruitment field has transformed and reviewed its practices to a great extent due to the changes in how individuals search for employment and expect to be hired.

The empirical part of this study is limited to Denmark, and its economic, social, and cultural domains, yet the research design can be applied elsewhere.

The paper contributes to a better understanding of HRM in context, the pressures and mechanisms for adoption of new recruitment practices, and more specifically the rationale for adopting e-recruitment practices. Additionally, it offers a novel research framework for future research on recruitment from the neoinstitutional perspective.

The purpose of this study is to identify how firms' sustainability performance is affected by external knowledge sources and absorptive capacity, accounting for the influence of being located in a science and technology park (STP).

Drawing on data from the Spanish Technological Innovation Panel, the authors estimate the determinants of sustainability performance using fixed effects multiple linear regression models with robust standard errors. The analysis covers the period 2009–2016, with a total panel of 8,874 companies and a total sample of 47,870 observations.

This study highlights the heterogeneity in on-park firms’ sustainability performance, which can be explained by the different capacities of these firms when it comes to embedding themselves in STP networks and processes and effectively absorbing the knowledge from the many knowledge sources that may be on offer in the park.

This paper contributes to the literature by examining the influence of external sources of knowledge and absorptive capacity, and the relationship between them, on sustainability performance. This study approaches sustainability performance as an aggregate measure of firms’ competitiveness and potential for long-term survival from the triple bottom line perspective. In addition, this study examines the effect that location in an STP can have on business sustainability performance and, more specifically, the mediating effect that knowledge sources and absorptive capacity can exert on this relationship.

The purpose of this paper is to highlight e-recruitment and training comprehensiveness as the untapped antecedents of employer branding (EB) in the relevant literature, which might enhance the employer’s knowledge and lead to organisational development.

This study adopts an exploratory conceptual modelling approach based on the extant literature from 1964 to 2017 using the databases of Emerald, EBSCO, Scopus, Proquest, JSTOR and search engines such as Google Scholar to ensure the reliability of the literature.

This paper suggests that e-recruitment and training comprehensiveness might be the untapped antecedents of EB as compared to traditional recruitment and training process explored in earlier studies.

The viewpoint can be further refined through academic conceptualisation and empirical validation.

This paper lays a conceptual foundation in the emerging area of EB. Ideas expressed herein can be approached by academicians.

Past studies have not explored e-recruitment and training comprehensiveness as the antecedents of EB. This work provides knowledge that candidly contributes to the conceptualisation of e-recruitment and training comprehensiveness. Further, this research has the potential to help academicians to understand the antecedents of EB leading to organisational development.

This study aims to build upon resource orchestration theory to theorize and empirically test a model that demonstrates how knowledge assets and innovation ambidexterity trigger a synergy in favor of firm performance.

Drawing on a survey of 158 Iranian knowledge-intensive companies, this study uses the partial least squares based on structural equation modeling to test the research hypotheses.

The results show that two elements of knowledge assets, namely, structural and relational capital, indirectly affect firm performance through the full mediation of innovation ambidexterity. The findings indicate that human capital has no relationship with both innovation ambidexterity and firm performance.

This study offers fresh insights into the issue of how organizations can create value from an effective orchestration of various strategic resources and capabilities, including knowledge assets and innovation ambidexterity.

This study applies resource orchestration theory to concurrently the areas of knowledge resources and organizational ambidexterity to show how innovation ambidexterity plays a role in translating three various knowledge assets into performance.

This paper investigates the effect of business environment distance on innovation performance of emerging market multinational enterprises (EMNEs) and explores the mediating effect of absorptive capacity between the two, and it further analyzes the moderating effect of skilled migrants in the relationship between business environment distance and absorptive capacity.

An empirical analysis based on a fixed effect model is conducted using data of Chinese MNEs listed on the Shanghai and Shenzhen Stock that expand into developed markets from 2011 to 2018.

The results suggest business environment distance positively affects the innovation performance of EMNEs, and can enhance innovation performance by affecting absorptive capacity of EMNEs. In addition, skilled migrants strengthen the relationship between business environment distance and absorptive capacity of EMNEs.

Chinese MNEs should fully exploit business environment distance to acquire the technology needed for innovation activities, and strengthen absorptive capacity to maximize the benefits from innovation. Chinese government needs to strengthen the construction of skilled migrants to facilitate knowledge and technology transfer.

Combining springboard theory and institutional theory, this paper integrates macro and micro perspectives to explore whether and how business environment distance affects innovation performance of Chinese MNEs. The paper provides a good theoretical basis and important practical reference value for enhancing the technological innovation capability of Chinese MNEs and the overall technological innovation level of China.

This study aims to investigate the impact of the ethical management of data privacy on the overall reputation of businesses.

A conceptual model was proposed and tested. Data were collected from 208 small and medium-sized enterprises (SMEs) in the textile industry in Valencia, Spain using a survey instrument. Partial least squares (PLS) allowed for the analysis of the data collected.

The theoretical model explains 46.1% of the variation in the organisational reputation variable. The findings indicate that ethical data privacy has a beneficial effect on an organisation's reputation and eco-innovation. The findings also demonstrate how eco-innovation drives the development of new knowledge and green skills that, in turn, communicate to stakeholders a company's ethical commitment. These results should encourage SMEs to invest in data privacy in order to meet the needs of the SMEs' increasingly technology- and environment-sensitive stakeholders and to improve their reputation.

This study provides the first empirical evidence that ethical data privacy management has a positive impact on the reputation of firms. Furthermore, the originality of the research derives from the analysis of the results from an environmental perspective. Indeed, this study shows that effective data privacy management can indirectly support organisational reputation through eco-innovation and green skills.

This paper first analyses the direct effect of quality management practices (QMPs) on organisational ambidexterity (OA). It then analyses the mediating influence of the values of ambidextrous culture (AC). A novel theoretical model is tested in a quantitative study of the organic agri-food sector.

Quantitative methods and an online survey were used to collect and analyse 239 valid questionnaire responses. The data analysis method was partial least squares (PLS).

There is a relationship between QMPs and OA. AC partially mediates this link, strengthening the direct relationship between the two variables.

The proposed model is novel and creates opportunities for new lines of research. The concept of QMPs is considered in all its dimensions (processes, people, customers and suppliers). The study reaffirms the importance of the novel concept of AC in the literature. In this study, OA is defined in terms of the balanced processes of exploitation and exploration. The choice of sector is another original feature of the study.