Search results

The purpose of this paper is to understand the role played by core self-evaluations (CSEs) in relationship to both job seekers’ job search behaviour and health complaints by examining the mediating role of job search self-efficacy (JSSE).

The present cross-sectional study was conducted on 216 Romanian unemployed persons. The hypothetical and alternative models (partial and full mediation) were tested using structural equation modeling.

The results supported a total mediation between CSE and job search behaviour and a partial one in relationship with health complaints, via JSSE. As a post hoc decision, a brief meta-analysis was conducted for the relationship between CSE and job search behaviour which revealed a very small effect (r=0.07, p=0.001). This result complemented and certified the findings on the lack of a total and also a direct effect between CSE and job search behaviour.

JSSE seems to be an important motivational factor. Fuelled by CSE, JSSE enables proper job search behaviour and also promotes job seekers’ health. From a practical point of view, the data suggest that developing interventions to strengthen unemployed individuals’ personal resources such as CSE and, especially JSSE, could not only foster their employment but could also protect their health.

The Black Sea countries hold geopolitical, economic and environmental relevance. This paper aims to analyze the relationship between CO₂ emissions, economic growth, urbanization (URB), access to electricity (ACEL), foreign direct investment (FDI) and the integration of renewables (RES) in the region, offering insights from both economic and environmental perspectives.

The paper conducts an econometric analysis using the autoregressive distributed lag (ARDL) model to examine the long-term and short-term relationships between GDP, CO2 emissions, FDI and RES integration in the Black Sea region.

The results indicate a positive long-term relationship between GDP and CO₂ emissions, with a negative coefficient for GDP squared, supporting the environmental Kuznets curve (EKC) hypothesis. FDI is found to reduce CO₂ emissions in the long term, rejecting the pollution haven hypothesis. In the short term, the EKC shows a less distinct and more volatile inverted U-shape relationship between GDP and CO₂ emissions. The error correction term (ECT) is negative and statistically significant, suggesting a 75% correction rate when CO₂ emissions deviate from the long-run equilibrium.

This study provides novel insights by linking economic growth, RES integration, FDI and environmental impact in the Black Sea region. It challenges the pollution haven hypothesis and offers nuanced perspectives on the short-term and long-term environmental impacts of economic activities.

This study explores the enablers of students “entrepreneurial intentions by identifying the factors that raise students” interest in embracing an entrepreneurial career.

Entrepreneurship education is increasingly attracting attention as a means of fostering entrepreneurial activity and creating a culture of innovation. Developing students' entrepreneurial intentions is critical to promote entrepreneurship. This research is built on a mixed method approach of partial least squares structural equation modelling and fuzzy-set qualitative comparative analysis.

The factors that influence students ‘entrepreneurial intentions are identified: business incubation programmes, non-reimbursable grants for entrepreneurial students, networking events to promote entrepreneurship, mentoring services, innovation labs for business idea validation and entrepreneurship courses. This knowledge can help develop effective entrepreneurship education programmes. The study also provides actionable insights for educational institutions and policymakers. It underscores the need for innovative educational platforms such as entrepreneurial bootcamps. It also highlights the value of advanced learning environments such as decision theatres to foster a culture of entrepreneurship and innovation.

The study contributes to the body of knowledge on entrepreneurship education. It highlights the need for a multidisciplinary approach to understand the factors that shape students’ entrepreneurial intentions.

The study sets out to explore the mediating role of intellectual capital (IC) dimensions (i.e. human, structural and relational) between scholars' affiliation to online academic networks and institutional knowledge capitalization. Online academic networks are tackled through the lens of knowledge networks which have been of primary importance for new relevant knowledge acquisition during the COVID-19 pandemic.

A questionnaire-based survey of 305 academics from 35 different countries was conducted from July to December 2021, employing a partial least squares structural equation modelling technique. The database was initially filtered to ensure the adequacy of the sample, and data were analyzed using the statistics software package SmartPLS 3.0.

Evidence was brought forward that the proposed conceptual model accounted for 52.5% of the variance in institutional knowledge capitalization, the structural and relational capital availed by knowledge networks exerting strong positive influence on the dependent variable.

The study has both research and managerial implications in that it approaches a topical phenomenon, namely the capitalization of online academic networks in the COVID-19 context, which has dramatically altered the way that research and teaching are conducted worldwide.

The most important contribution of the paper resides in the comprehensive research model advanced which covers individual, organizational and network multifaced layers, starting with the personal and institutional motives to join a specialized network, continuing with the opportunities provided by knowledge networks in terms of intellectual capital harnessing, and ending with its influence on higher education organizations.

Partial least squares structural equation modeling (PLS-SEM) has become popular in the information systems (IS) field for modeling structural relationships between latent variables as measured by manifest variables. However, while researchers using PLS-SEM routinely stress the causal-predictive nature of their analyses, the model evaluation assessment relies exclusively on criteria designed to assess the path model's explanatory power. To take full advantage of the purpose of causal prediction in PLS-SEM, it is imperative for researchers to comprehend the efficacy of various quality criteria, such as traditional PLS-SEM criteria, model fit, PLSpredict, cross-validated predictive ability test (CVPAT) and model selection criteria.

A systematic review was conducted to understand empirical studies employing the use of the causal prediction criteria available for PLS-SEM in the database of Industrial Management and Data Systems (IMDS) and Management Information Systems Quarterly (MISQ). Furthermore, this study discusses the details of each of the procedures for the causal prediction criteria available for PLS-SEM, as well as how these criteria should be interpreted. While the focus of the paper is on demystifying the role of causal prediction modeling in PLS-SEM, the overarching aim is to compare the performance of different quality criteria and to select the appropriate causal-predictive model from a cohort of competing models in the IS field.

The study found that the traditional PLS-SEM criteria (goodness of fit (GoF) by Tenenhaus, R2 and Q2) and model fit have difficulty determining the appropriate causal-predictive model. In contrast, PLSpredict, CVPAT and model selection criteria (i.e. Bayesian information criterion (BIC), BIC weight, Geweke–Meese criterion (GM), GM weight, HQ and HQC) were found to outperform the traditional criteria in determining the appropriate causal-predictive model, because these criteria provided both in-sample and out-of-sample predictions in PLS-SEM.

This research substantiates the use of the PLSpredict, CVPAT and the model selection criteria (i.e. BIC, BIC weight, GM, GM weight, HQ and HQC). It provides IS researchers and practitioners with the knowledge they need to properly assess, report on and interpret PLS-SEM results when the goal is only causal prediction, thereby contributing to safeguarding the goal of using PLS-SEM in IS studies.

Many authors have recognised multiple research gaps at empirical and theoretical levels regarding the interplay between the management of intellectual capital (IC) and the development of innovation capabilities from a strategic approach to technological opportunities, especially in knowledge-intensive business services (KIBS). This paper endeavours to provide answers to some of these research questions by relying on empirical observations in the context of an emergent economy.

After reviewing the literature through the lenses of the IC and knowledge-based view, the paper operationalises IC as a formative construct and explores its relationships with Technological Orientation, Innovativeness and Innovative Performance. This investigation employs structural equation modelling to analyse data collected through a questionnaire from a sample of KIBS members in a cross-sectional study.

The research confirms the positive influence of human capital on a company’s Technological Orientation, which in turn impacts Innovative Performance in KIBS. Structural and relational capital positively affect Innovativeness and the latter directly impact performance. All other IC components were found to determine the dependent variables through a mediated effect.

This research has several limitations. Firstly, it has to be stressed that the significance of the statistical findings is dependent on the sample size, and the results’ explanatory power and effect size cannot be extrapolated to other demographics in different regions or sectors. Secondly, it should be observed that the results of the empirical research can be affected by the respondents’ subjectivity in assessing the items and their perception of reality when providing the answers. Thirdly, this is a cross-sectional study, and results concerning, e.g. the Innovative Performance may be subject to change over a longer period of time, though items in this construct have inquired about results obtained over time. Finally, given the purpose of the research, the outcome may be limited to the research model design. Future research could attempt to replicate the results by investigating other demographics and other regions and by employing a longitudinal study.

The study highlights the value added by adequate management of all IC elements, as they affect the output of organisational business strategies and processes in an integrated manner. An organisational technological strategy that is based on up-to-date technologies, the embeddedness of technology in the organisational processes and the staff’s continuous technical/digital upskilling are conducive to competitive advantage and business success in KIBS. High competencies and skills that are continuously renewed through training as well as the acquisition of digital competencies, play an influential role in generating innovative capabilities that lead to business performance. Flexible and efficient business processes, the company’s support for informal knowledge sharing between employees and its ability to exploit new knowledge to sustain growth are prerequisites for KIBS’ success. Promoting an organisational culture of trust and collaboration, making the staff feel valued and satisfied and effectively using digital technologies for communication are all significant factors in supporting the development of innovation capabilities.

This research proves that IC management, viewed as an integrated construct comprising human, structural and relational capital management, significantly affects Innovativeness through the development of technology-based innovative capabilities. Furthermore, in a context where KIBS (and other companies) nowadays compete in a digital environment, technology and technical knowledge are paramount for a company’s success. The study validates in an aggregated model the role played in innovation by the management of knowledge and technical knowledge embodied in the employees’ competencies and know-how, the management of tacit and explicit knowledge developed by the structural capital and the management of stakeholder knowledge accumulated by the relational capital.

This research takes a fresh and comprehensive perspective to investigate how IC management can impact Innovativeness and Innovative Performance in KIBS by focusing on the nexus with the organisations’ Technological Orientation. The paper makes an original contribution to research concerning IC, KIBS, technology and innovation based on empirical evidence and a new approach to assessing IC as an aggregate rather than by looking at individual components.