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EN
The importance of corporate communication to build, protect and maintain corporate reputation has been advocated in numerous publications in recent years. The main goal of this paper is to provide an understanding of the impact of corporate reputation and information sharing on value creation. Both reputation and information sharing represent signals that customers observe in the process of value creation, which is seen as the end focus for corporate marketing. The paper draws on signaling theory and corporate marketing literature from the European and American schools of thought. The empirical test of the hypothesized model focuses on the banking industry. Organizational customers from a South East European country shared their views about banks they currently cooperate with. The research instrument contained multi-item scales adapted from the existing literature. An analysis using structural equation modeling confirmed that corporate reputation positively and significantly influences customer perceived value. The effect of information sharing on customer perceived value is not direct but mediated by corporate reputation. This finding contributes to the existing discussion on the role of corporate reputation and communication as antecedents in the process of value creation.
EN
This article aims to elaborate on a model of information support for knowledge workers in Polish enterprises. Earlier research has explored the use of Web 2.0 technology for information sharing. Nevertheless, relatively little information has been published that focuses on the impact of information sharing among knowledge workers within a company and its subsequent influence on a firm’s effectiveness as identified via the number of new products created, number of completed research topics, or number of new patents. The author aims to analyze the effectiveness of information sharing in Polish enterprises based on the research results gained from the study described in this paper. In particular, this study pays attention to the likely consequences and results of information sharing by the use of employee web logs. This is followed by a discussion of the results of the empirical studies and of the supporting literature. The summary indicates potential directions for further work.
EN
Background: There are several factors that lead to the growth or decline of the nonperforming loans, such as macroeconomic variables and bank specific variables, banks ownership structure, corruption and information sharing. Among them one of the main factors that affect the non-performing loans are the corruption. In developing countries corruption plays very important role in the growth of non-performing loans. Objectives: This study investigates the impact of corruption at economy level and institution level on the nonperforming loans. This study also examines the association of information sharing between depositors, lenders and financial institutions. Methods/Approach: The current study used time series data over the period of 2001 to 2010 and employed OLS method. Results: The results provide no significant association of corruption and information sharing with non-performing loans. Conclusions: The results suggest no significant impact of corruption on non-performing loans because of the nature of the data used, but as literature provides significant impact of corruption on non-performing loans, therefore State Bank of Pakistan and commercial banks can reduce the level of non-performing loans by reducing the chance of corrupt practices by following the rules and regulation of credit allocation, supervision and loan monitoring.
EN
Background: This research attempts to extend the understanding and application of embeddedeness theory beyond the general network structure. Previous research on network analysis largely focused on the context of the decentralized network structure and how it impacts on the performance of the network member. However, each member of a supply network is embedded in a centralized network structure. The focal firm often plays the commanding role in such structure. Thus, the supply network is a centralized network because of the existence of the focal firm. The existence of the focal firm may influence the impact of firm performance, particularly on the generation of relational capital. Hence, the objective of this research is to determine how formality derives from the centralization of the supply network and influences trust projection in the supply network structure so that it is possible to organize supply network resources to their optimum capacity. Methods: Basing on the previously applied approach of Social Network Analysis from the sociology research field, we adopted the Social Network Analysis methodology to collect data on supply network connectivity or relations. Using an Exponential Random Graph Model [ERGM], we developed a random search algorithm for network relational capital optimization. Exponential Random Graph Modeling [ERGM] is a statistical method for modeling the generative processes that create social networks. In ERGM, the log-odds of a tie between members of a dyad of nodes or actors in the network are essentially modeled using an exponential form analogous to logistic regressions. Results: The findings of this study indicate that centrality negatively influences trust projection in the supply network. Hence, a firm embedded in upstream supply network benefits differently in terms of relational capital through the different degree of embeddedness. The firm's resources should be re-aligned to match the benefits of the different network structural positions. Conclusion: The results of the statistical network analysis reveal interesting findings in terms of prominent structural forms and the impact of involvement or embeddedness in the formal of a supply network. What this means is that the more embedded a firm is in the upstream supply network based on the formal contract tie, the less the likelihood that it will be perceived as trustworthy by other network members. Consequently, this tells us that firms’ embbededness in a centralized network structure which is based on a formal contract ties have a negative impact on the firms’ level of trust perception.
PL
Wstęp: Praca ma celu rozszerzenie znaczenia i stosowania poza strukturę sieci teorii zależności aktywności ekonomicznych od czynników socjalnych. Wcześniejsze badania dotyczące analizy sieci w dużej mierze koncentrowały się na zagadnieniu decentralizacji struktury sieci i wpływu tego procesu na działanie poszczególnych jej członków. Niemniej każdy członek łańcucha dostaw jest elementem zcentralizowanej struktury sieci. Zcentralizowana firma odgrywa przywódcza rolę w całej takiej strukturze. Dlatego też łańcuch dostaw jest siecią zcentralizowaną z powodu istnienia firmy przywódczej. Istnieje takiego typu firmy w sieci ma wpływ na wyniki działalności. Celem tej pracy jest określenie wpływu formalizmu, będącego wynikiem zcentralizowania łańcucha dostaw, ba poziom zaufania w obrębie tego łańcucha oraz możliwości organizacji wykorzystania zasobów tego łańcucha do uzyskania wykorzystania optimum zasobów. Metody: W oparciu o wcześniej stosowane podejście używające analizy sieci socjalnych, zastosowano metodologię analizy sieci socjalnych do zgromadzenia danych dotyczących połączeń i relacji w obrębie łańcucha dostaw. Przy użyciu modelu Exponential Random Graph Model [ERGM] opracowano losowo szukający algorytm dla rozwiązywani problemu optymalizacji relacji sieci. Exponential Random Graph Modeling [ERGM] to metoda statystyczna służąca kształtowaniu procesów generatywnych, tworzących sieci socjalne. W metodzie tej, zarówno połączenia nieparzyste jak i dwójki węzłów sieci są modelowane poprzez użycie postaci wykładniczej analogicznej do regresji logistycznej. Wyniki: Uzyskane wyniki badań wskazują, że centralizacja ma negatywny wpływ na poziom zaufania w łańcuchu dostaw. Firmy umieszczone w różnych częściach łańcucha dostaw zyskują w różny sposób z relacji socjalnych w obrębie tego łańcucha. Zasoby firmy musiałyby być przesunięte, aby uzyskiwać benefity wynikające z różnej pozycji w strukturze sieci. Wnioski: Wyniki uzyskane na podstawie analizy statystycznej sieci wskazują na ciekawe zależności w obrębie strukturalnych form, mający wpływ na zaangażowanie w formalnej strukturze łańcucha dostaw. Im dana firma znajduje się wyżej w sieci łańcucha dostaw w odniesieniu do formalnych połączeń i relacji, tym jest mniejsze prawdopodobieństwa, że będzie traktowana z zaufaniem przez innych członków danej sieci. W konsekwencji, należy wysunąć wniosek, że ze wzrostem pozycji w zcentralizowanej sieci, zaufanie do danej firmy maleje.
EN
The aim of the paper is to study the challenges concerning organizational behaviors crucial for Lessons Learned capabilities in military organizations as well as to indentify the solutions and recommendations to develop and strengthen positive organizational culture, climate and behaviors fostering experiential learning. The attention is focused around positive behaviors recognized by NATO as the key success factors for Lessons Learned capabilities such as: the engagement of leaders, positive mindset, willingness to share information and stakeholder involvement. The contents of the paper are mainly based on the interviews with Lessons Learned experts and practitioners representing both NATO commands, bodies and national Lessons Learned military organizations. Moreover, the outcomes of the analysis of selected military documents and the literature survey contributed to the study.
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