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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.

The overall aim of this research is to propose a research incentive framework for academic staff members at the South African universities of technology (UoTs).

An exploratory case study methodology was applied, while a questionnaire was used to (1) identify the factors that stimulated staff members' research activities; (2) assess what was considered an appropriate way of measuring research productivity and (3) identify appropriate research awards, recognition and rewards. Working from the self-determination theory (SDT), the results of the data analysis were used to develop a framework for ensuring crowding-in of research incentives into intrinsic motivation. This framework is anchored on the three main components (competence, autonomy and social relatedness) of the cognitive evaluation theory (CET) that provides guidelines for the design of a research incentive system.

Intrinsically motivated researchers tend to conduct research for their inherent satisfaction because it meets their basic individual psychological need for competence. Existing research incentives and productivity systems fail to provide intrinsic motivation for researchers. Recommendation for a framework for designing research incentive systems is centred on the researchers themselves. This approach contributes to a research environment that provides space for autonomy, creativity, flexibility and innovation and consequently a successful research output that is hinged on the ability to keep researchers intrinsically motivated.

A conceptual framework is proposed specifically for technically focused UoT suggesting that crowding-in the motivation of researcher incentives results in improved intrinsic-based motivation. The autonomy of researchers in particular is regarded as the most important driver of such motivation, with the availability of resources, collegiality and research skills and development ranking as the most important aspects specifically driving intrinsic motivation. The framework not only provides a tool for institutions of higher education focused on developing the technical skills, but also offers management at any type of university challenged with low research outputs and a poor research ethos with an alternative method to improve both the quantity and quality of research outputs.

The contemporary business environment is characterised by an increasing reliance on artificial intelligence, automation, optimisation, efficient communication and data-driven decision making. Based on the limited academic literature that examines the managerial perspective on enterprise chatbots, the paper aims to explore organisational needs and expectations for enterprise chatbots from a managerial perspective, assesses the relationship between managerial knowledge and managerial opinion regarding enterprise chatbots, and delivers a framework for integrating chatbots into the digital workforce.

The paper presents a quantitative design. An online, self-administered survey yielded 111 valid responses from managers in service and manufacturing organisations based on convenience and snowball sampling strategies. Given the nature of the data and the research questions, the research was conducted using principal component analysis, parallel analysis, correlation, internal consistency and difference in means tests.

This research explores the managerial perspective on enterprise chatbots from multiple perspectives (i.e., adoption, suitability, development requirements, benefits, barriers, performance and implications), presents a heat map of the average level of chatbot need across industries and business units, highlights the urgent need for education and training initiatives targeted at decision makers, and provides a strategic framework for successful chatbot implementation.

This study equips managers and practitioners dealing with enterprise chatbots with knowledge to effectively leverage the expected benefits of investing in this technology for their organisations. It offers direction for developers in designing chatbots that align with organisational expectations, capabilities and skills.

Insights for managers, researchers and chatbot developers are provided. The work complements the few academic studies that examine enterprise chatbots from a managerial perspective and enriches related commercial studies with more rigourous statistical analysis. The paper contributes to the ongoing discourse on decision-making in the context of technology development, integration and education.

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.