Team-related factors influencing intra-team knowledge sharing in knowledge-intensive businesses

In today’s knowledge-driven economy, knowledge is regarded as possibly the most important factor of production next to labour, land and capital. Knowledge is the lifeblood of a business and therefore crucial for its survival in today’s constantly changing and competitive economic environment. In fact, effective knowledge management holds many benefits for an organisation, such as increased productivity and enhanced business performance. Knowledge management is therefore key to ensure business success. In the knowledge management process, knowledge-sharing is typically recognised as the most important activity. Knowledge that is not shared, in particular tacit knowledge residing in the minds of individuals and accrued over time, loses its value. Notably, team knowledge-sharing is of utmost importance in that it enables a team to resolve practical issues more successfully, given that knowledge is shared among team members that hold various kinds of specialised and unique expertise. Organisations increasingly organise their specialised knowledge-intensive work around projects that consist of allocated members who cooperate on a regular basis to accomplish specific goals before a set deadline. However, without knowledge-sharing among team members, the diverse knowledge of various members cannot be optimally utilised to the benefit of the team and the organisation. Although it is well documented that knowledge-sharing among team members, in particular knowledge-intensive teams, may hold various advantages for teams and organisations in terms of their performance and competitive advantage, researchers also acknowledge that individuals are sometimes reluctant to share their knowledge. Moreover, there is a lack of empirical research on the team-related factors influencing intra-team knowledge-sharing, and a subsequent lack of guidance in terms of encouraging intra-team knowledge-sharing behaviour. Notably, the lack of current systematic, integrated research, that pay particular attention to the team-related factors influencing the knowledge-sharing behaviour within a team is problematic. This lack of research calls for further empirical research to better understand the teamrelated factors influencing intra-team knowledge-sharing behaviour in knowledgeintensive teams. As such, the main research objective of this study was to identify and empirically examine selected team-related factors influencing the intra-team knowledge-sharing behaviour of individual members participating in knowledgeintensive teams in knowledge-intensive businesses. Based on an extensive literature review, the following team-related factors influencing knowledge-sharing in a team context were identified and hypothesised to have a relationship with the dependent variable Intra-team knowledge-sharing behaviour. These factors, which also served as the independent variables in this study, are: Team development competition, Team hyper-competition, Team psychological safety, Perceived surface-level diversity, Perceived deep-level diversity, Team identification, Metacognitive cultural intelligence, Cognitive cultural intelligence, Motivational cultural intelligence, Behavioural cultural intelligence, Affective team commitment, Continuance team commitment and Normative team commitment. Following the construction of the proposed hypothesised model, the researcher proceeded to develop a research design that would be suitable to address the research questions. For the purpose of this study, a positivist research philosophy and deductive approach to theory building were adopted, which is in line with the quantitative nature of this study. In addition, a survey research strategy was used and the study was cross-sectional in nature. The measuring instrument, which was in the form of a self-administered online questionnaire, was subjected to a pilot study. Minor adjustments were made to the questionnaire before an electronic link to the final version, accompanied by a cover letter, was e-mailed to 8 496 potential respondents. These potential respondents, who were identified using a convenience sampling technique, were likely to participate in knowledge-intensive teams and be representative of the population. A total of 384 usable responses were received. Following the data collection, the data were analysed to examine the proposed relationships as depicted in the hypothesised model. To address possible multicollinearity concerns associated with different variables that belong to a shared category, such variables were first combined into a single hierarchical variable. Thereafter, a confirmatory factor analysis (CFA) was performed on each factor that confirmed the factor structures by using various goodness-of-fit indices. Subsequent to the CFAs, the validity and reliability of the measuring instrument was assessed. The reliability of the measuring instrument was evaluated using Cronbach’s alpha coefficients, while the assessment of validity involved calculations of the average variance extracted (AVE) estimates and squared correlations between constructs. Based on the results of the reliability and validity assessments, the hypothesised model was revised accordingly. The revised model included Team development competition, Team psychological safety, Cultural intelligence, Team commitment and Perceived deep-level diversity as the independent variables influencing Intra-team knowledge-sharing behaviour. Descriptive statistics and correlation results were presented on the constructs in the revised hypothesised model, while a structural equation modelling (SEM) analysis was the main statistical technique used to test the significance of the relationships between the dependent and the independent variables. The relationships between selected demographic variables and Intra-team knowledge-sharing behaviour were assessed by means of general linear modelling (GLM), a subset of SEM. In light of these analyses, it was concluded that Team psychological safety, Team development competition, Cultural intelligence and Age have a significant influence on Intra-team knowledge-sharing behaviour and could thus be seen as predictors or determinants thereof. Of all the significant relationships identified in this study, Team psychological safety had the strongest effect on Intra-team knowledge-sharing behaviour. One should, however, not lose sight of the impact that competition and cultural intelligence could have on the knowledge-sharing behaviour of individual members participating in knowledge-intensive teams. This study contributes to the body of knowledge-sharing research in general, but also to knowledge-sharing behaviour in a team context in particular. Besides the theoretical contributions, this study makes several practical recommendations to knowledgeintensive businesses on how to manage the team-related factors influencing the Intrateam knowledge-sharing behaviour of individual members participating in knowledgeintensive teams. These recommendations could possibly enhance the competitive advantage of knowledge-intensive businesses.Thesis (PhD) -- Faculty of Business and Economic Sciences, 202

Unethical decision-making and behaviour in the life insurance sector of South Africa

The public is regularly shocked by revelations of new business scandals. Nearly every sector of society is tainted by incidents of unethical behaviour. In this regard, the South African financial services industry has attracted a lot of attention, as some of the biggest scandals in recent years have occurred in this industry. With the world economy still experiencing the effects of the global recession, the last thing that institutions in the financial arena must do is engage in unethical behaviour. Immoral behaviour could damage a company's repution and lead to further financial losses. The purpose of this study was thus two-fold: firstly, to investigae the factors that influence unethical decision-making and behaviour in the local life insurance sector, and secondly to evaluate how business ethics are institutionalised at a sample of life insurance companies

Team-related factors influencing intra-team knowledge sharing in knowledge-intensive businesses

In today’s knowledge-driven economy, knowledge is regarded as possibly the most important factor of production next to labour, land and capital. Knowledge is the lifeblood of a business and therefore crucial for its survival in today’s constantly changing and competitive economic environment. In fact, effective knowledge management holds many benefits for an organisation, such as increased productivity and enhanced business performance. Knowledge management is therefore key to ensure business success. In the knowledge management process, knowledge-sharing is typically recognised as the most important activity. Knowledge that is not shared, in particular tacit knowledge residing in the minds of individuals and accrued over time, loses its value. Notably, team knowledge-sharing is of utmost importance in that it enables a team to resolve practical issues more successfully, given that knowledge is shared among team members that hold various kinds of specialised and unique expertise. Organisations increasingly organise their specialised knowledge-intensive work around projects that consist of allocated members who cooperate on a regular basis to accomplish specific goals before a set deadline. However, without knowledge-sharing among team members, the diverse knowledge of various members cannot be optimally utilised to the benefit of the team and the organisation. Although it is well documented that knowledge-sharing among team members, in particular knowledge-intensive teams, may hold various advantages for teams and organisations in terms of their performance and competitive advantage, researchers also acknowledge that individuals are sometimes reluctant to share their knowledge. Moreover, there is a lack of empirical research on the team-related factors influencing intra-team knowledge-sharing, and a subsequent lack of guidance in terms of encouraging intra-team knowledge-sharing behaviour. Notably, the lack of current systematic, integrated research, that pay particular attention to the team-related factors influencing the knowledge-sharing behaviour within a team is problematic. This lack of research calls for further empirical research to better understand the teamrelated factors influencing intra-team knowledge-sharing behaviour in knowledgeintensive teams. As such, the main research objective of this study was to identify and empirically examine selected team-related factors influencing the intra-team knowledge-sharing behaviour of individual members participating in knowledgeintensive teams in knowledge-intensive businesses. Based on an extensive literature review, the following team-related factors influencing knowledge-sharing in a team context were identified and hypothesised to have a relationship with the dependent variable Intra-team knowledge-sharing behaviour. These factors, which also served as the independent variables in this study, are: Team development competition, Team hyper-competition, Team psychological safety, Perceived surface-level diversity, Perceived deep-level diversity, Team identification, Metacognitive cultural intelligence, Cognitive cultural intelligence, Motivational cultural intelligence, Behavioural cultural intelligence, Affective team commitment, Continuance team commitment and Normative team commitment. Following the construction of the proposed hypothesised model, the researcher proceeded to develop a research design that would be suitable to address the research questions. For the purpose of this study, a positivist research philosophy and deductive approach to theory building were adopted, which is in line with the quantitative nature of this study. In addition, a survey research strategy was used and the study was cross-sectional in nature. The measuring instrument, which was in the form of a self-administered online questionnaire, was subjected to a pilot study. Minor adjustments were made to the questionnaire before an electronic link to the final version, accompanied by a cover letter, was e-mailed to 8 496 potential respondents. These potential respondents, who were identified using a convenience sampling technique, were likely to participate in knowledge-intensive teams and be representative of the population. A total of 384 usable responses were received. Following the data collection, the data were analysed to examine the proposed relationships as depicted in the hypothesised model. To address possible multicollinearity concerns associated with different variables that belong to a shared category, such variables were first combined into a single hierarchical variable. Thereafter, a confirmatory factor analysis (CFA) was performed on each factor that confirmed the factor structures by using various goodness-of-fit indices. Subsequent to the CFAs, the validity and reliability of the measuring instrument was assessed. The reliability of the measuring instrument was evaluated using Cronbach’s alpha coefficients, while the assessment of validity involved calculations of the average variance extracted (AVE) estimates and squared correlations between constructs. Based on the results of the reliability and validity assessments, the hypothesised model was revised accordingly. The revised model included Team development competition, Team psychological safety, Cultural intelligence, Team commitment and Perceived deep-level diversity as the independent variables influencing Intra-team knowledge-sharing behaviour. Descriptive statistics and correlation results were presented on the constructs in the revised hypothesised model, while a structural equation modelling (SEM) analysis was the main statistical technique used to test the significance of the relationships between the dependent and the independent variables. The relationships between selected demographic variables and Intra-team knowledge-sharing behaviour were assessed by means of general linear modelling (GLM), a subset of SEM. In light of these analyses, it was concluded that Team psychological safety, Team development competition, Cultural intelligence and Age have a significant influence on Intra-team knowledge-sharing behaviour and could thus be seen as predictors or determinants thereof. Of all the significant relationships identified in this study, Team psychological safety had the strongest effect on Intra-team knowledge-sharing behaviour. One should, however, not lose sight of the impact that competition and cultural intelligence could have on the knowledge-sharing behaviour of individual members participating in knowledge-intensive teams. This study contributes to the body of knowledge-sharing research in general, but also to knowledge-sharing behaviour in a team context in particular. Besides the theoretical contributions, this study makes several practical recommendations to knowledgeintensive businesses on how to manage the team-related factors influencing the Intrateam knowledge-sharing behaviour of individual members participating in knowledgeintensive teams. These recommendations could possibly enhance the competitive advantage of knowledge-intensive businesses.Thesis (PhD) -- Faculty of Business and Economic Sciences, 202

Individual-related factors influencing knowledge-sharing intention in knowledge-intensive businesses

It has become generally accepted to refer to today‟s global economy as a knowledge-based economy, since knowledge has increasingly become the resource, instead of a resource for wealth creation. The ability of businesses to harness the potential of intangible assets such as knowledge has become far more decisive than their ability to manage physical assets. In the implementation of knowledge management activities, knowledge sharing is recognised as an integral task and key enabler of knowledge management. Although knowledge sharing is regarded as one of the most crucial factors in the effective management of knowledge, in knowledge-intensive businesses in particular, it has also been established that most employees are reluctant to share knowledge. Research further confirms that the factors that promote or discourage knowledge-sharing behaviour in businesses are poorly understood and that knowledge management systems fail as a result of the misunderstanding of individual characteristics that could influence knowledge sharing. Moreover, the focus of knowledge-sharing literature, in terms of the unit of analysis, is rarely at an individual/micro level, although the role of individuals in the knowledge-sharing process is critical as tacit knowledge resides within the individual and knowledge sharing starts with individuals. Given the importance of understanding knowledge sharing of individuals in knowledge-intensive businesses – but noting the lack of existing systematic, integrated research that focuses on individual-related factors influencing knowledge sharing – the purpose of this study was to fill the gap in the current literature. As such, the primary objective of this research was to identify and empirically investigate the individual-related factors influencing the Knowledge-sharing intention of individual employees in knowledge-intensive businesses. The literature review revealed twelve constructs, namely Individuals’ awareness, Intrinsic motivation, Extrinsic motivation, Transactional psychological contract breach, Relational psychological contract breach, Relationship conflict, Task conflict, Extraversion, Neuroticism, Openness to experience, Agreeableness and Conscientiousness that could influence the dependent variable Knowledge-sharing intention in knowledge-intensive businesses. Various moderating relationships between the dependent and independent variables were also proposed, while seven demographic variables (Age, Gender, Language, Highest qualification, Ethnic background, Organisational tenure and Job tenure of the respondent) were identified as potential control variables. Each construct in the hypothesised model of individual-related factors influencing Knowledge-sharing intention was defined and operationalised using items sourced from validated measuring instruments in previous studies. Several self-generated items based on secondary sources were also formulated. A structured questionnaire was made available to respondents identified by means of the convenience sampling technique, and the data collected from 597 usable questionnaires was subjected to various statistical analyses. An exploratory factor analysis (EFA) was conducted which confirmed the unique factors present in the data, and Cronbach-alpha coefficients were calculated to confirm the reliability of the measuring instrument. Structural equation modelling (SEM) was the main statistical procedure used to test the significance of the relationships hypothesised between the various independent and dependent variables. A subset of SEM, namely general linear modelling (GLM) was used to determine the influence of selected demographic variables on Knowledge-sharing intention and to assess various moderating relationships as proposed in the hypothesised model. The main findings of this study were that personality traits are strong predictors of individual employees‟ willingness to share knowledge, and that the maturity of individuals, in terms of realising the significance and value of sharing their knowledge with others, and in recognising the intrinsic benefits of sharing, influence Knowledge-sharing intention. The main limitations of the study were the use of a convenience sampling technique to collect the data, as well as the dependence of self-report by respondents, which could lead to response bias. This study has added to the body of knowledge management research, in particular knowledge-sharing research, by investigating selected individual-related factors influencing the Knowledge-sharing intention of individuals in a particular subset of businesses, namely knowledge-intensive businesses, and focusing on a particular type of knowledge, namely tacit knowledge. From a business‟s perspective, this study offers recommendations and suggestions for managing these individual-related factors in such a way as to increase knowledge sharing among employees, and as a result, the effectiveness and competitive advantage of knowledge-intensive businesses