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EN
The last decade has seen a distinct increase in the frequency of the appearance of virtual teams within contemporary organizations. As knowledge sharing within the virtual team leads to better team performance, a deeper understanding of enabling organizational capabilities is highly relevant to both researchers and managers. Therefore, in this paper we focus on the concept of "internal change agent support". More specifically, we use a qualitative research design to study the role of internal agent support within the relationship between knowledge sharing and virtual team performance. A theoretical model was built and verified by means of structural equation modelling (PLS-SEM). The authors found that internal change agent support has a moderating effect on relationship between knowledge sharing and the virtual team performance and the knowledge sharing within the virtual team influences positively virtual team performance. These results add to the emerging academic discussion on continuous change management within dispersed teams. Our findings are also relevant to managerial practice as they suggest how to facilitate the process of knowledge sharing in a team, thus improving its efficiency.
PL
Celem artykułu jest pomiar kapitału społecznego oraz określenie jego oddziaływania na rozwój gospodarczy wybranych gospodarek europejskich w latach 2017–2020. W pracy wykorzystano metodę modelowania równań strukturalnych z wykorzystaniem cząstkowych najmniejszych kwadratów (PLS-SEM), która umożliwia pomiar oraz identyfikację związków pomiędzy zmiennymi ukrytymi (bezpośrednio nieobserwowalnymi). Ustalono, że zaufanie społeczne jest bardziej determinowane przez zaufanie interpersonalne niż przez zaufanie względem organizacji. Ponadto stwierdzono, że zaufanie społeczne jest najważniejszym elementem ogólnej miary kapitału społecznego. Mniej ważnym w formowaniu tej zmiennej okazała się zmienna społecznych interakcji i postaw. Ustalono także, że pomiędzy zmiennymi kapitału społecznego i rozwoju gospodarczego występuje silny dodatni i istotny statystycznie związek.
EN
The aim of this paper is to measure social capital and determine its effect on economic development across thirty five European economies from 2017 to 2020. Partial least squares structural equation modelling (PLS-SEM) was applied to measure and identify the relationship between latent (directly unobservable) variables. Social trust was found to be more strongly determined by interpersonal trust than by trust in organisations. Furthermore, social trust was also found to be the most important component of the overall measure of social capital. The latent variable representing social interaction and attitudes was found to be less important in the formation of social capital. Finally, a strong positive and statistically significant relationship was found between social capital and economic development.
EN
Research background: The COVID-19 pandemic has affected higher education globally and disrupted its usual activities, according to differing perspectives. The ability to adapt to online activities was an important factor for many researchers during the pandemic period. Purpose of the article: In this article, the authors are studying the ability of the students to adapt to online activities, and also the direct and indirect effect on their academic performances. Methods: The data was collected with a questionnaire and the respondents are students from Romanian Universities. The analysis was made with an econometric model by using the PLS-SEM methodology. The goal of the paper was to find and analyse the factors used to perform academic online activities during the pandemic period. Findings & value added: The results of the paper validate the research hypotheses formulated in the introductory part and confirm that the students' academic performances are a direct result of many factors, such as: system parameters, personal demand, personal commitment, and regulatory environment. The identification of the exogenous variables with significant impact on the students' performances through online activities could help the management of the universities to implement the positive aspects and to reward them for their efforts while preventing from resilience to change. The higher education system has to acknowledge that flexible online learning opportunities are needed by students to fit their coursework around their employment and family responsibilities.
EN
Research background: Innovations are introduced by competitive companies. One of the most common methods, increasingly used by companies, is organizing clusters or cluster initiatives operating within a specialized sector, competing with each other, exploiting the potential of cooperation and its impact on creating new business ideas. However, these efforts could be unviable due to the lack of an effective leader of the group. One should underline a crucial role of the leader in such an organized network, since the leader makes improvements and takes initiatives for all the network and its partners. These concepts prompt us to undertake the research on the role of clusters? characteristics on enhancing willingness to innovate in general. This study aims to point out the main characteristics of clusters and to investigate their impact on companies? innovativeness. The main problem to address is the magnitude of specific effects that might boost introducing new solutions in firms? networks. Purpose of the article: The purpose of this study is to investigate the impact of factors describing cluster environment (characteristics like cooperation within clusters and beyond them, incentives of a leader, and localization factors) that might affect the innovativeness of companies. Methods: The authors collected data using questionnaire. This type of primary source enables the authors to construct a model consisting of latent variables such as incentives of coordinator of cluster or cluster initiative, cooperation of firms with local authorities, cooperation between entrepreneurs, or localization. The results are subject to the Structural Equation Modelling (SEM) analysis. Findings & value added: The conducted analysis leads to several findings. Firstly, incentives provided by the cluster coordinator enable companies to increase the willingness to introduce innovations in general. Secondly, however, the influence of other cluster characteristics on the propensity to innovate for firms functioning within specific Polish business clusters is scant. These findings point to the fact that actions leading to assign the official coordinator of a cluster need to be done, as it should result in better flow of knowledge, more symmetric information among companies within cluster, and more productive and innovative way of functioning firms in general. Regarding innovation clusters (and regional innovation systems), these actions need to be supported by forming policy on regional level, because effective clusters would induce more competitive regional economy in long-term scenario.
EN
The study entails an examination of the factors needed for the emergence of business innovation, in the context of a developing economy, based on representative data from the Global Entrepreneurship Monitor 2021. Drawing on the theories in the literature, the impact mechanism of the entrepreneurial innovation development in our model has been assumed to involve a three-sided impact. The study builds on the entrepreneurial side effects, based on the classical Schumpeterian theory as well as incorporating the enterprises’ productive-side effects into the model, defining the model as resultant from socioeconomic macrocontext effects. The analysis of our model has been tested and analyzed using partial least squares - structural equation modeling and the necessary condition analysis. Our results show that business innovation requires not one factor, but a combination of factors. The system needs visionary entrepreneurs, who can stimulate innovation, along the concept of sustainability. An economically prosperous business with international connections which views challenges as opportunities, however, also constitutes an important factor providing proper framework for new products and services. Adequacy of the socio-economic macro-context is essential as well, as it too contributes to the development of entrepreneurship and thus to the creation of entrepreneurial innovation.
EN
Research background: In the private sector and on social media, corporate emotional interaction has lately become a hot topic. In the background of the public sector, however, it has scarcely been discussed and very little is known about its determinants and implications. Purpose of the article: This research investigates the role of organizational emotional engagement through relational contracts, senior management receptivity, and upward communication of employees in the public sector in stimulating work satisfaction and job efficiency. Methods: This research was based on data collected between April 1, 2020, and May 31, 2020, from 335 state employees from various governmental organizations in Ho Chi Minh City (HCMC), Vietnam. To evaluate the hypothesized model, partial least squares-structural equation modeling was used. Findings & value added: Our results illustrate that relational contracts have a powerful effect on emotional engagement. Positive relationships were confirmed between employee engagement and the voice of employees and between employee engagement and job performance. Moreover, the findings also support the role of senior management receptiveness in stimulating organizational emotional engagement. This study addresses questions about absence of academic studies on organizational emotional engagement in the public sector. The results highlight the important role of emotional engagement in stimulating job satisfaction and job performance through relational contracts, senior management receptiveness, and upward employee communication.
EN
This paper proposes a PLS Model for the study of Online Trading. Traditional investing has experienced a revolution due to the rise of e-trading services that enable investors to use Internet conduct secure trading. On the hand, model results show that there is a positive, direct and statistically significant relationship between personal outcome expectations, perceived relative advantage, shared vision and economy-based trust with the quality of knowledge. On the other hand, trading frequency and portfolio performance has also this relationship. After including the investor’s income and financial wealth (IFW) as moderating effect, the PLS model was enhanced, and we found that the interaction term is negative and statistically significant, so, higher IFW levels entail a weaker relationship between trading frequency and portfolio performance and vice-versa. Finally, with regard to the goodness of overall model fit measures, they showed that the model is fit for SRMR and dG measures, so it is likely that the model is true.
PL
W niniejszym artykule posługujemy się modelem PLS w celu przeprowadzenia badania nad obrotem produktami finansowymi przy wykorzystaniu Internetu. Tradycyjny sposób inwestowania przeszedł swoistą rewolucję ze względu na rosnącą skalę bezpiecznych usług transakcyjnych świadczonych drogą internetową. Z jednej strony uzyskane wyniki wskazują na istnienie dodatniego, bezpośredniego i istotnego statystycznie związku między osobistymi oczekiwaniami co do wyniku, postrzeganą przewagą względną, wspólną wizją, zaufaniem do gospodarki oraz posiadanej wiedzy wysokiej jakości. Z drugiej strony zależność taką wykazują też częstotliwość transakcji oraz wydajność portfelowa. Model PLS rozszerzono uwzględniając dochody i finansowy majątek inwestora jako efekt łagodzący i okazało się, że stopień interakcji jest ujemny i statystycznie istotny, czyli przy podwyższonych poziomach dochodów i majątku inwestora zauważa się słabszą zależność pomiędzy częstotliwością transakcji i wydajnością portfelową oraz vice versa. Także w odniesieniu do testów zgodności metod wykazano, że model ten nadaje się do SRMR oraz dG, co oznacza, że prawdopodobnie model ten jest prawdziwy.
EN
Research background: The research has two objectives and employs a serial mediation approach. First, using the general strain theory, it examines the mediating role of negative feelings and impact of economic adversity on people's risk tolerance and prudent financial behavior. The second is determining the various categories' variations according to age. Purpose of the article: The study's main objective is to evaluate financial behaviour of people with lower and medium incomes after the second wave of COVID-19 in India, and to contribute to the body of knowledge on general strain theory. Methods: The study examined the proposed framework and tested the serial mediation model based on the general strain theory used as a survey method for data collection, targeting lower and middle-income individuals in India's most populated state. The study applied PLS-SEM to test the framed hypotheses. Furthermore, the Kruskal Wallis test was applied to identify the difference in the various groups classified based on age. Findings & value added: The results reveal that economic hardship significantly influences improved financial behavior. Risk aversion attitude, loneliness, and depression mediate the relationship between economic hardship and financial behavior. Moreover, the study found quite a few significant differences between the different age groups. The present study will add to the existing literature on financial behavior under the scope of general strain theory and probably be among the few that test general strain theory with financial variables impact on lower and middle-income group individuals from a developing nation in post-COVID-19 period.
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