Search results

This research explores perceptions of knowledge management processes held by managers and employees in a service industry. To date, empirical research on knowledge management in the service industry is sparse. This research seeks to examine absorptive capacity and its four capabilities of acquisition, assimilation, transformation and exploitation and their impact on effective knowledge management. All of these capabilities are strategies that enable external knowledge to be recognized, imported and integrated into, and further developed within the organization effectively. The research tests the relationships between absorptive capacity and effective knowledge management through analysis of quantitative data (n = 549) drawn from managers and employees in 35 residential aged care organizations in Western Australia. Responses were analysed using Partial Least Square-based Structural Equation Modelling. Additional analysis was conducted to assess if the job role (of manager or employee) and three industry context variables of profit motive, size of business and length of time the organization has been in business, impacted on the hypothesized relationships.

Structural model analysis examines the relationships between variables as hypothesized in the research framework. Analysis found that absorptive capacity and the four capabilities correlated significantly with effective knowledge management, with absorptive capacity explaining 56% of the total variability for effective knowledge management. Findings from this research also show that absorptive capacity and the four capabilities provide a useful framework for examining knowledge management in the service industry. Additionally, there were no significant differences in the perceptions held between managers and employees, nor between respondents in for-profit and not-for-profit organizations. Furthermore, the size of the organization and length of time the organization has been in business did not impact on absorptive capacity, the four capabilities and effective knowledge management.

The research considers implications for business in light of these findings. The role of managers in providing leadership across the knowledge management process was confirmed, as well as the importance of guiding routines and knowledge sharing throughout the organization. Further, the results indicate that within the participating organizations there are discernible differences in the way that some organizations manage their knowledge, compared to others. To achieve effective knowledge management, managers need to provide a supportive workplace culture, facilitate strong employee relationships, encourage employees to seek out new knowledge, continually engage in two-way communication with employees and provide up-to-date policies and procedures that guide employees in doing their work. The implementation of knowledge management strategies has also been shown in this research to enhance the delivery and quality of residential aged care.

The purpose of this paper is to examine the empirical validity of transformational, transactional and laissez‐faire leadership and their sub‐scales among physician managers.

A nation‐wide, anonymous mail survey was carried out in the United States, requesting community health center executive directors to provide ratings of their medical director's leadership behaviors (34 items) and effectiveness (nine items), using the Multifactor Leadership Questionnaire 5X‐Short, on a five‐point Likert scale. The survey response rate was 40.9 percent, for a total 269 responses. Exploratory factor analysis was done, using principal factor extraction, followed by promax rotation).

The data yielded a three‐factor structure, generally aligned with Bass and Avolio's constructs of transformational, transactional and laissez‐faire leadership. Data do not support the factorial independence of their subscales (idealized influence, inspirational motivation, individualized consideration, and intellectual stimulation under transformational leadership; contingent reward, management‐by‐exception active, and management‐by‐exception passive under transactional leadership). Two contingent reward items loaded on transformational leadership, and all items of management‐by‐exception passive loaded on laissez‐faire.

A key limitation is that supervisors were surveyed for ratings of the medical directors' leadership style. Although past research in other fields has shown that supervisor ratings are strongly correlated with subordinate ratings, further research is needed to validate the findings by surveying physician and other clinical subordinates. Such research will also help to develop appropriate content of leadership training for clinical leaders.

This study represents an important step towards establishing the empirical evidence for the full range of leadership constructs among physician leaders.

This study aims at increasing the authors’ understanding how and why the oil curse takes place.

The study uses a structural equation model (SEM) and stochastic frontier analysis (SFA) in order to underline the mechanism under which the oil curse operates.

The study shows that oil abundance could lead to inefficient resource allocation. This inefficiency is strongly correlated with a weak institutional setting which would lead to accumulated external debt and ultimately to poor economic performance.

The quality of institutions and governance plays a major role in defining government success in allocating public resources efficiently. In a weak institutional setting, characterized with lack of accountability oil rents can promote rent-seeking behavior of public agents; a type of behavior that promotes misallocation and waste of resources. This in turn undermines public finances and leads to external debt accumulation. Debt per se is not necessarily a bad thing, but it has a turning point beyond which it can be a source of economy for countries (particularly countries with limited diversified source of revenue and inefficient public sector). It is to note that the authors work does not refute the positive impact that the increase in oil value has on economic growth (e.g. Nusair, 2016). However, it reminds policy makers that in order to sustain this impact over long term, it is necessary to build a strong institutional framework that prevents inefficient use of resource allocation as it could result in rapid accumulation of debt over short period of time. The adoption of sovereign wealth funds (SWFs) by a number of oil rich countries has helped them to manage adverse oil shocks. Nonetheless, the effectiveness of these funds could be limited in a country whose institutions are not very strong. Characterized by a mediocre institutional setting, Algeria's sovereign fund, for example, has lost 67% of its reserves over just two years (2014–2015) before reaching the level zero by February 2017 following the drop of oil prices in 2015 (see Central Bank of Algeria, 2017). Also, the foreign exchange reserves of the country experienced a drop of more than 72% over a short period of time (2014–2020), leading to the resurgence of the idea of contracting external debt. Similarly, following the sharp drop in oil prices in 2015, the Saudi Arabia's external debt (% of GDP) has jumped by more than 150% over three years only, reaching a level of 28.85% in 2020 compared to a 10.62% in 2015 (https://Fred.stlouisfed.org/series/SAUDGDPGDPPT). The positive correlation of weak institutions with inefficiency can lead to fiscal policy procyclicality. Inefficient public spending tends to be procyclical compared to productive public spending (Makin, 2014). This procyclicality is apparent in developing countries, particularly those characterized by corrupted and weak institutional environment (Alesina et al., 2008; Frankel et al., 2013). This is conducive to output fluctuations where booms and busts are exacerbated (Frankel et al., 2013).

Originality of the study resides in the idea that external debt is an important element that could help to explain why oil curse could take place. The transmission mechanism that underpins the oil curse hypothesis is yet to be fully understood. In doing so, the paper, with the use of two sophisticated statistical techniques, reconciles between the concept of debt overhang and oil curse hypothesis. Similar research efforts are scant.

This study aims to examine the effect of the crude oil price crash of 2014 on corruption decentralisation. In a corrupt state, a significant decrease in the state revenue might lead to concentration of power in the hands of the political elite who try to maintain their income, or to a weakening of the elite’s control as the bureaucrats compete for bribes.

Crude oil price crash provides a rare opportunity to test the effect of reduced state revenue on corruption decentralisation. This study constructs a measure for corruption decentralisation and analyses how it is affected by state income in 18 resource-rich and corrupt states.

The empirical model suggests that there is a positive relationship between corruption decentralisation and state oil and gas revenue, implying that as the revenue decreases, political elite in the exporting countries manage to maintain their control over the bureaucrats.

The results are important for academics as well as for policymakers, as they allow adjustment of anti-corruption efforts based on the level of corruption decentralisation.

To investigate whether CO₂ intensity falls at a diminishing rate as countries grow richer.

Regression of CO₂ intensity on the gross domestic product (GDP) per capita, including squared and cubic terms, for a panel of countries and individual countries.

CO₂ intensity falls at a diminishing rate as countries grow richer.

Many studies have found that CO₂ intensity falls with GDP per capita, but whether it does so at a diminishing rate has not been investigated. This result suggests that structural changes in GDP (more services) as countries get richer will provide little or no help toward decarbonization. It is shown that the extraction of minerals critical for industrial production has increased on par with real GDP. This could explain why CO₂ emissions fall at a diminishing rate.

The purpose of this research is to evaluate the Dimensions Of Learning Organization Questionnaire (DLOQ) framework from the perspective of public sector organizations. We have used performance indicator data after organizational learning inspired intervention in a semi-autonomous network of public sector organizations.

This study used original administrative data to track the learning progress, as measured by a ratio of access to funding sources. The study also collected survey data using tailored DLOQ instruments and then determined the efficacy of DLOQ framework for public sector organizations. Several data analysis techniques were used to specify a final set for the learning organization instrument with construct validity and instrument reliability. Confirmatory factor analysis was selected to test the construct validity for the measurement of the dimensions of the learning organization and to verify the adequacy of the item to factor associations and the number of dimensions underlying the construct.

We found evidence that confirms that the organizational level (particularly the system connection) has a positive impact on organizational performance and a mediating effect on the relationships between the individual/group levels of learning organization characteristics and organizational performance. This study extends the Watkins and Marsick’s (1993, 1996) learning–organization framework that helped to produce case-specific outcomes such as the extent of error reduction. This framework provides a useful structure for other researchers to study learning dimensions and their relationships with other organizational performance variables. The results also show evidence of internal consistency and the construct reliability of the dimensions of the learning organization.

Care should be taken in generalizing the structural equation model identified in this study. Because of the multidimensional and complex nature of the learning organization, the research setting for this study might be only one of the possible settings that specify the relationships among different levels of the learning organization and performance outcomes. There are rather complicated interactions among these dimensions and in each attribute of a learning organization.

This study theoretically confirms that the organizational level (particularly the system connection) has a positive impact on organizational performance and a mediating effect on the relationships between the individual/group levels of learning organization characteristics and organizational performance. This study also methodologically shows evidence of internal consistency and the construct reliability of the learning organization measures along with significant efficiency gain in theory.

The aim of this paper is to develop a specific strategic foresight methodology and integrate this into roadmapping which is suitable for corporations. To date, reasonable practical experience has been accumulated, but there is a lack of a comprehensive conceptual approach for using strategic foresight and roadmapping to solve management problems.

This approach integrates corporate strategic foresight and roadmapping in several stages. During the foresight phase, the authors create scenarios of long-term development determined by long-term macro trends and challenges to identify “points of growth” and system of priorities for company growth. A strategic roadmap enables the company to form a “corridor” for specific projects and create a long-term action plan to implement the priorities identified in the first phase. Using a project roadmap makes it possible to ensure the implementation of a specific project, defining a system of goals, the necessary measures, their timing and financing, as well as indicators to assess their effectiveness.

The core result of the suggested methodology is a set of possible trajectories of innovation development, reflecting the whole technological chain involving R & D – technology – product – market. Each path involves a sequence of organizational actions and key decision-making points that are necessary to be taken to introduce new technological solutions and develop innovation products with new features to the customer/user. These routes support decision-making in such fields as the choice of the product line, establishment of new partnerships with developers of innovation technologies, decisions regarding “insourcing-outsourcing” and the requirements for relevant scientific and technological breakthroughs. It allows corporations to create strategies for commercializing innovation products.

The methodology proposes to integrate the results of foresight studies and in roadmaps and finally in business planning, adopting innovative strategies and management decisions. It contributes to the development of common principles and approaches to the subject, while taking account of company-specific features that can significantly affect the decision-making mechanism. The methodology is applicable to foreign and Russian companies when creating innovative strategies and management decisions based on the results of foresight.

The purpose of this paper is to study the efficiency of different oil and gas markets. Most previous studies examined the issue using low frequency date sampled at monthly, weekly, or daily frequencies. In this study, 30-minute intraday data are used to explore efficiency in energy markets.

Sophisticated statistical analysis techniques such as Granger-causality regressions, augmented Dickey-Fuller tests, cointegration tests, vector autoregressions are used to explore the transmission of information between oil and gas energy markets.

This study provides evidence for efficiency in energy markets. The new information that arrives either to futures markets or spot markets is digested correctly, completely, and in a fast manner, and is propagated to the other market. The evidence indicates high efficiency.

This study is one of the first papers that uses 30-minute interval intraday data to investigate efficiency in oil and gas commodity markets.

An empirical investigation of the consistency of retrieval through Internet search engines is reported. Thirteen engines are evaluated: AltaVista, EuroFerret, Excite, HotBot, InfoSeek, Lycos, MSN, NorthernLight, Snap, WebCrawler and three national Dutch engines: Ilse, Search.nl and Vindex. The focus is on a characteristics related to size: the degree of consistency to which an engine retrieves documents. Does an engine always present the same relevant documents that are, or were, available in its databases? We observed and identified three types of fluctuations in the result sets of several kinds of searches, many of them significant. These should be taken into account by users who apply an Internet search engine, for instance to retrieve as many relevant documents as possible, or to retrieve a document that was already found in a previous search, or to perform scientometric/bibliometric measurements. The fluctuations should also be considered as a complication of other research on the behaviour and performance of Internet search engines. In conclusion: in view of the increasing importance of the Internet as a publication/communication medium, the fluctuations in the result sets of Internet search engines can no longer be neglected.