Dr.Omaima Hameed Aladilee (1)
General Background: Knowledge sharing has become a critical organizational practice in modern institutions as digital transformation reshapes how employees collaborate, learn, and develop entrepreneurial capabilities in the digital environment. Specific Background: Within university libraries, staff members increasingly rely on knowledge exchange mechanisms such as written contributions, organizational communication channels, personal encounters, and communities of practice to support digital-oriented work processes and professional development. Knowledge Gap: Despite the growing relevance of knowledge sharing for institutional development, empirical evidence describing how different knowledge-sharing behaviors relate to digital entrepreneurship dimensions in academic library settings remains limited. Aims: This study examines knowledge-sharing behaviors and their association with digital entrepreneurship among staff members in governmental university libraries in the Middle Euphrates region. Results: Using survey data from 114 library employees and statistical analysis, the findings indicate that organizational communication represents the most prominent knowledge-sharing dimension, supported by formal mechanisms such as periodic meetings, work reports, and established communication channels that function as primary sources of knowledge exchange among staff. Conversely, digital creation and innovation appear as the least represented dimensions within the examined libraries, indicating limitations in innovative digital practices. Novelty: The study provides empirical evidence linking structured knowledge-sharing practices with multiple dimensions of digital entrepreneurship in university library institutions. Implications: These findings highlight the administrative importance of formal communication systems as foundations for institutional knowledge circulation and suggest opportunities for future managerial initiatives aimed at strengthening digital innovation capacities within academic libraries.
Highlights:• Formal Institutional Channels Act as the Primary Mechanism for Internal Knowledge Exchange Among Library Staff.• Innovative Digital Creation Activities Remain the Least Represented Capability in the Surveyed Institutions.• Survey Data From 114 Employees Reveal Patterns of Digital Entrepreneurial Capacity Within Academic Library Workplaces.
Keywords: Knowledge Sharing Behavior, Digital Entrepreneurship, University Libraries, Organizational Communication, Digital Innovation.
Knowledge-sharing practices within organisations are a crucial foundation that fosters employee skill development and maximises performance. They also serve as a strategic enhancement to on-the-job training programs. The significance of knowledge-sharing behaviours in enhancing employees' technological competencies is growing as they encounter rapid advancements driven by the escalating digital revolution across many domains. This has led to the need for employees to improve their technological skills and competencies, as well as to the importance of being flexible and quickly adapting these skills to keep pace with global technological developments. This has facilitated the proliferation of the notion of "digital entrepreneurship." Within information institutions, university libraries constitute a significant category and play a crucial role in supporting and directing teaching and research at universities. These libraries encounter significant problems on both global and local scales, characterised by an unprecedented influx of information, both in volume and quality, as well as the evolving requirements of researchers and users for access to this material. Consequently, the issue of the present study is to address the following research question: What is the significance of information-sharing behaviours in facilitating digital entrepreneurship among workers in Iraqi university libraries across the region? Central Euphrates.
The significance of the research arises from the following factors:
The research is based on the following two main hypotheses:
Figure 1 shows the hypothetical research plan.
*Source: Prepared by the researcher based on the mentioned sources.
To achieve the research objectives, the measures shown in Table 1 were adopted, which indicate the specific measures for each variable and its associated dimensions.
Table 1 illustrates the measures used to determine the dimensions of the research variables.
The research aims to achieve the following:
The limits of the current research are as follows:
The research community included employees of the central libraries at the Middle Euphrates government universities. The community of employees working in these libraries (totaling 114 employees) was studied and distributed among the libraries studied, as shown in the table below:
Table No. (2) shows the number of employees distributed according to the libraries studied.
Prepared by the researcher based on the field study
To conduct the research and arrive at the final results, the following tools were adopted:
Axis One: Description of the research sample.
Axis Two: Paragraphs related to the independent variable of the research (knowledge sharing behaviors), which included (16) paragraphs.
Axis Three: Paragraphs associated with the dependent variable (digital entrepreneurship), which included (24) paragraphs.
(114) questionnaires were distributed electronically to the entire research community, of which (102) were returned, representing (89%).
Statistical Methods
The following statistical methods were adopted:
A five-point Likert scale was adopted, one of the most widely used methods in social science survey research. It is also characterized by clarity and accuracy. The scale values were determined from (1) for the lowest value to (5) for the highest value.
Percentages and frequencies.
Arithmetic mean.
Response intensity.
Standard deviation.
Coefficient of variation.
Calculated t-test.
structural equation modeling
Prior studies were used to determine the dimensions of the research variables and their contribution to the practical component of the research (practical measurements were derived from these studies). The employed statistical methodologies and the procedures for selecting and sampling the study population were scrutinised, all of which pertain to library operations, specifically in university libraries. This study diverges from prior research by integrating two factors that, to the researcher's knowledge, have not been examined concurrently at the local level. Moreover, the examination of these factors pertains to a crucial domain, specifically university libraries, especially in light of the technical problems they encounter and the escalating demands of users and researchers for information and innovative service delivery techniques.
Knowledge sharing behaviours can be defined as "the process of transferring and disseminating knowledge among employees or organisational teams to minimise the time needed to address work-related issues" [5], or as "a fundamental component of lifelong learning organisations that facilitate collaboration and knowledge reutilization among employees through technical resources and tools such as document management systems, workgroups, and databases" [6], or as "the inclination of organisational members to share tacit or explicit knowledge with peers through formal and informal written or unwritten codes of conduct" [7], or as "the outcome of scientific, intellectual, or cultural interactions among employees within an organization aimed at sustaining ideas by balancing personal and organisational objectives" [8]. Current research asserts that knowledge-sharing behaviours encompass the diverse practices employed by organisational members that facilitate, either directly or indirectly, the dissemination of novel or innovative experiences, skills, and ideas to address work-related challenges or execute routine tasks. These techniques often facilitate constructive relationships and tacit or explicit recognition among people, their peers, or the organization's leadership.
Knowledge-sharing behaviours facilitate the subsequent outcomes [2]:
A variety of variables impact the creation of knowledge-sharing behaviours inside organisations, the most significant of which are:
Table No. presents the parameters of the scale utilised in the current study to examine the knowledge-sharing variable. (1) The aspects of written contributions, organisational communications, human encounters, and communities of practice shall be elucidated in the subsequent points [1]:
2-5- The Concept of Digital Entrepreneurship and Its Beginnings
Digital entrepreneurship is the way to go for a successful organisation of today, combining skills, competencies, and traits that enable individuals to operate in rapidly changing digital environments. Digital Entrepreneurship is not just about digital use but about a deep understanding of technology and augmenting its creativity to improve organizational performance. This dexterity helps speed up digital transformation, increase productivity, build resilience against crises, and exploit opportunities. This is where a culture of constant learning, collaborative engagement, and creativity will nurture a competitive edge in the digital workplace. Ahmed et al. According to Wajcik (2020), digital entrepreneurship enables subjects to act as "active digital consumers" through encounters with knowledge and practices, which is essential for implementing an organization's objectives through the deliberate use of technology. Hence, investing in developing these skills is also an investment in the future health and effectiveness of organisations. From an organisational perspective, digital entrepreneurship enables the following [11]:
2-7- Dimensions of Digital E ntrepreneurship
The dimensions of digital entrepreneurship (Table 1) were drawn from a scale that contains six dimensions: technical skills; digital learning and development; digital creation and innovation; collaboration and participation in a more interconnected world; media and data literacy; and digital identity/well-being. Those will be inspected in order as [2]:
This aspect of the research involves analyzing questionnaire data prepared in accordance with the criteria outlined in Table No. (3). It was also reviewed and presented to some experts for the purpose of measuring its apparent validity. After the experts' responses were completed, some modifications were made to the questionnaire, and it was distributed to the research sample. The following is an analysis of the questionnaire data according to the three axes:
3-1- Description of the research sample
Table (3) Analysis of Demographic Data for the study Sample *
Table No. (3) indicates that the greatest percentage was for females at 53%, whilst the lowest percentage, 48%, was for men, reflecting a marginal difference between the two groups. The minimal percentage for the age group was 3% for those aged 61 and older, a figure anticipated owing to the establishment of the retirement age. The highest proportion, 33%, was observed in the 51-60 age group. The sample's competency in computer skills revealed that the average and poor groups accounted for 21% of the research population, indicating that the majority of library personnel possess technical skills. The sample description, based on years of service, revealed that the lowest proportion was 14% for the 11-15 years group. Conversely, the highest proportion was represented by the two groups (younger than 5 years and 16 years and older). The table breaks down the sample by academic qualifications, showing that the highest percentage (56%) is among individuals with a bachelor’s degree, indicating that over half of the workforce possesses suitable academic credentials for the role. In comparison, the lowest percentage (2%) pertains to individuals holding a bachelor's degree. Among middle school graduates, the sample description by speciality shows that the categories of office and technical experts accounted for no more than 34%, while the remaining 66% comprised other specialties.
3-2 - Analysis of sample responses to the research variables (knowledge sharing behaviors/ digital entrepreneurship )
Table No. (4) shows the analysis of sample responses to the variable (knowledge sharing behaviors/written contributions)
“Source prepared by the researcher with the help of the SPSS program.”
The data in Table 4 shows that the highest mean (4.47) was for the first question, indicating that the research sample is keen to share documents and work reports with their colleagues. The lowest mean (3.26) was for question (4), indicating that employees feel that their written contributions are not appreciated by management or colleagues.
Table 5 presents an analysis of the sample's responses to the variable (knowledge-sharing behaviors/organizational communication).
Table No. (5) indicates that the items included generally received high arithmetic means, with the arithmetic means for all items ranging between (4.3) and (4.46), indicating that this dimension enjoys the acceptance and actual support of management and employees alike.
Table No. (6) shows an analysis of the sample's responses to the variable (knowledge sharing behaviors/personal interactions).
Table (6) shows that all items in it had high arithmetic means, ranging between (4.53) and (4.23), indicating the availability of a positive, healthy environment among colleagues, which in turn supports correct methods of practicing knowledge sharing.
Table No. (7) shows an analysis of the sample's responses to the variable (knowledge sharing behaviors/communities of practice).
Table No. (7) indicates that this dimension obtained good arithmetic means ranging between (4.29) and (3.43). These means for communities of practice align with the results in the dimension (personal interactions), indicating the effectiveness and positivity of the work environment in the libraries studied.
Table No. (8) Dimensions of the variable (knowledge sharing behaviors)
By examining the distribution of the independent variable (knowledge sharing behaviors), we find that this variable generally achieved high arithmetic means across its dimensions, indicating the effectiveness and prevalence of knowledge sharing behaviors at the libraries studied.
Table No. (9) shows an analysis of the sample's responses to the variable (digital entrepreneurship / technical proficiency dimension).
Source prepared by the researcher with the help of the SPSS program
Table No. (9) indicates that the highest mean (4.23) was for the first paragraph, indicating that most of the workers in the libraries surveyed are proficient in using personal computers and basic programs at work. The lowest mean (3.12) was for the fourth paragraph, indicating the research sample's limited ability to solve simple technical problems encountered at work.
Table No. (10) shows an analysis of the sample's responses to the variable (digital entrepreneurship / digital learning and development dimension).
Table No. (10) indicates that the highest arithmetic mean (4.20) was for the eighth paragraph, which indicates that the workers in the libraries under study consider digital learning an important means for personal and professional growth in the work environment. At the same time, the table showed that the lowest arithmetic mean (3.8) was for the sixth paragraph, indicating the tendency of workers in the libraries under study to attend electronic workshops and online training programs in the field of specialization.
Table No. (11) shows the analysis of the sample’s answers to the variable (digital entrepreneurship/ digital creation and innovation dimension)
Table No. (11) indicates that all paragraphs of the dimension obtained average arithmetic means, ranging between (3.37) and (3.2), indicating the limited interaction of the workers in the libraries surveyed with the digital creation and innovation dimension.
Table No. (12) shows an analysis of the sample's responses to the variable (digital entrepreneurship/ digital collaboration and participation dimension).
Table No. (12) shows that this dimension achieved good arithmetic means ranging between (4.14) and (3.48), indicating the prevalence of digital cooperation and participation among workers in the libraries surveyed. This is a positive trend that can certainly support work methods and service development.
Table No. (13) shows an analysis of the sample's responses to the variable (digital entrepreneurship/ media and data literacy).
Table No. (13) shows that the highest mean (3.62) was for the eighteenth item, indicating that the workers in the libraries surveyed possess a relative ability to distinguish between reliable and unreliable sources when searching for information. The lowest mean (3.25) was for the twentieth item, indicating that workers contributed little to helping beneficiaries understand the differences between accurate and misleading information.
Table No. (14) shows an analysis of the sample's responses to the variable (digital entrepreneurship/ digital identity and well-being dimension).
Table No. (14) indicates that all items in it had high arithmetic means, ranging between (4.53) and (4.2). This indicates the awareness of the workers in the libraries under study of their digital identity and their keenness to ensure their well-being when using technology applications, without falling into states of stress or intellectual exhaustion as a result of the enormous amount of information they receive or browse daily.
Table No. (15) Dimensions of the variable (digital entrepreneurship)
Table No. (15) indicates that the dimension (digital identity and well-being) obtained the highest arithmetic mean (4.31). In contrast, the dimension (digital creation and innovation) represented the least achieved dimension (3.25), and the remaining dimensions represented average to good achievement in the libraries studied.
3-3- Testing Research Hypotheses:
This section will test the two study hypotheses in turn.
1- The initial hypothesis, H1: This hypothesis posited the anticipation of a statistically significant correlation between knowledge-sharing behaviours and digital entrepreneurship among the libraries examined. Table (16) below indicates a direct correlation of 0.700, which is statistically significant as the significance level resides within the acceptable range (below 5%). The computed T-value of 11.543 exceeds the tabulated T-value of 1.962, hence affirming the significance threshold. The hypothesis is accepted based on these data. This suggests that increased focus by library administration on information-sharing behaviours correlates with a heightened need to improve digital entrepreneurship.
Second Hypothesis
The Structural Equation Modelling (SEM) technique will be employed to assess the direct impacts between the research variables, namely information sharing behaviours and digital entrepreneurship. This analysis will be conducted with the AMOS.V.26 statistical software.
It asserts: "There is no statistically significant impact" of information sharing behaviours on digital entrepreneurship.
A structural model was developed to illustrate the association between knowledge-sharing behaviours and digital entrepreneurship, therefore substantiating this theory. The table and figure below illustrate the model's reliability and validity according to goodness-of-fit criteria, which surpassed the requisite indications established by Hair et al. (2010).
The Goodness-of-Fit Index (GFI) is 1.00, the Chi-square to degrees of freedom ratio is 4.857, and the Root Mean Square Error of Approximation (RMSEA) is 0.071. Moreover, the divergence of the factorial regression weights exceeded 0.40, indicating that the model's reliability and validity meet the goodness-of-fit requirements. The scale items demonstrate strong conformity and construct validity, effectively measuring their intended purpose. The inferential statistics on knowledge-sharing behaviours in digital entrepreneurship are clear. The recorded regression parameters were (α = 1.107) and (β = 0.764), with the extracted and estimated (F) value being (76.655). It exceeds the tabulated (F) value of (3.86). The R² value indicates that knowledge-sharing behaviours account for 49.0% of the variation in digital entrepreneurship. The calculated (t) value for (β) for the variable of knowledge sharing behaviours was noted at (14.085). It exceeds the tabulated (t) value of 1.962. This elucidates the stability of the relevance of (β), since the value of (β) indicates that a one-unit rise in knowledge-sharing behaviours would result in a 76.4% increase in digital entrepreneurship. The hypothesis may be accepted, indicating that there is no substantial influence of information-sharing behaviours on digital entrepreneurship.
Table (16) Regression model between knowledge sharing behaviors and digital entrepreneurship
Source: Based on SPSS program outputs, prepared by the researcher
4-1 - Conclusions
4-2 - Recommendations
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