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Personality Traits of Academic Librarians and Their Knowledge Acquisition and Application Behavior

  • Azeem Akbar ORCID logo EMAIL logo , Amara Malik ORCID logo und Nosheen Fatima Warraich ORCID logo
Veröffentlicht/Copyright: 29. August 2024
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Aus der Zeitschrift Libri Band 74 Heft 3

Abstract

This study investigated the effect of the Big Five personality traits (extraversion, agreeableness, conscientiousness, neuroticism, and openness) on knowledge acquisition and application by Pakistani university librarians. To increase their impact in academic institutions, it is imperative to examine how people acquire and apply knowledge within the field of librarianship. This study employed a quantitative research approach based on the survey research method. The Big Five personality inventory designed by John and Srivastava was adopted, however, measurement items related to knowledge acquisition and application behavior were developed with the help of the existing literature. The study population comprised academic librarians working in the university libraries of Pakistan, with a census sampling method used to collect data and 357 completed questionnaires received. The results indicated that extraversion, agreeableness, and openness to experience positively affect the university librarian’s knowledge acquisition, while neuroticism has a negative effect. The findings also revealed that extraversion and openness to experience positively affects academic librarians’ knowledge application behavior while neuroticism has a negative effective, however, conscientiousness and agreeableness personality traits were found to be insignificant predictors of the same. This study highlights the significant personality features contributing to knowledge acquisition and application behavior in academic libraries from a developing country’s perspective.

1 Introduction

Personality traits are enduring patterns of behavior, cognition, and emotion that shape individuals’ interactions and distinguish them from one another (Mammadov 2022). Within the realm of librarianship, these traits significantly influence professional performance and engagement with knowledge-related activities (Roberts 2018). The research on personality traits starts with the research of Fiske (1949), where four factors were derived: Social Adaptability, Emotional Control, Conformity, and Inquiring Intellect. This idea was later expanded upon by other researchers including Norman (1963), Smith (1967), and Goldberg (1982). Various models, such as McDougall’s five personality traits and Cattell’s extensive trait inventory, have been proposed to understand human personality (Cattell 1943; Liao and Lee 2009). However, Costa and McCrae’s Big Five Personality Model (1990), comprising neuroticism, extraversion, openness, agreeableness, and conscientiousness, has gained prominence for its comprehensive approach (Costa and McCrae 1990). Subsequent refinements and adaptations introduced the Big Five Inventory (BFI) by John and Srivastava (1999), which further solidified the utilization of personality assessment in understanding individual differences and behaviors (John and Srivastava 1999). These traits have been widely acknowledged in psychology for their explanatory power in understanding human behavior and personality (Cobb-Clark and Schurer 2012; Mondak et al. 2010) (Figure 1).

Figure 1: 
Hypothetical model.
Figure 1:

Hypothetical model.

According to Big Five inventory, extraverted individuals are characterized by their sociability, energy, and enthusiasm for new experiences (Tauni, Yousaf, and Ahsan 2020). Agreeableness reflects traits such as kindness, trustworthiness, and flexibility (Dalpe et al. 2019). Conscientious individuals demonstrate diligence, goal-directedness, and self-discipline (Awadh and Ismail 2012). Neuroticism encompasses tendencies towards anxiety, insecurity, and emotional instability (Templer 2012). Finally, openness to experience is associated with curiosity, creativity, and receptiveness to new ideas (Bui 2017). These traits provide a framework for understanding individual differences in behavior and attitudes.

Academic librarians, as pivotal figures in educational institutions, play a crucial role in facilitating knowledge acquisition and dissemination (Keshavarz 2022). However, the efficacy of their contributions is intricately linked to their personality traits (Federer 2018). Understanding the interplay between personality traits and librarians’ knowledge-related behaviors is thus imperative for optimizing their performance and effectiveness (Federer 2018).

Knowledge acquisition encompasses various activities, including information search, trend monitoring, and engagement with scholarly literature (Brown and Palincsar 2018). Personality traits such as openness to experience and curiosity have been associated with heightened engagement in these activities among academic librarians (Brown and Palincsar 2018). Similarly, knowledge application behavior, involving the practical utilization of acquired knowledge, is influenced by personality traits such as conscientiousness and interpersonal skills (Bleidorn, Hopwood, and Lucas 2018; Ji et al. 2021).

2 Research Objectives and Questions of the Study

Following the above stated facts, this study formulated some objectives and research questions. The objectives of the study were to:

  1. Examine the Big Five personality traits of academic librarians of Punjab and Islamabad.

  2. Identify knowledge acquisition and application behavior of academic librarians.

  3. Highlight the relationship between gender and personality traits of academic librarians.

  4. Identify the relationship between gender and knowledge acquisition and application behavior.

  5. Examine the relationship between Big Five personality traits on knowledge acquisition and application behavior among academic librarians.

In light of these objectives, the study poses the following research questions:

  1. What are the Big Five personality traits of academic librarians working in Higher Education Commission (HEC)-recognized university libraries of the Punjab province and Islamabad?

  2. What are the knowledge acquisition and application behavior of academic librarians?

  3. What is the effect of gender on their personality traits (extraversion, agreeableness, conscientiousness, neuroticism, and openness)?

  4. What is the effect of gender on their knowledge acquisition and application behavior?

  5. What is the effect of the Big Five personality traits on the knowledge acquisition and behavior of academic librarians working in HEC-recognized universities of the Punjab province and Islamabad?

By addressing these questions, this study seeks to provide valuable insights into the role of personality in shaping knowledge-related behaviors among academic librarians, contributing to a deeper understanding of this critical aspect of professional performance.

3 Literature Review

Very few studies have examined the effect of personality traits on professionals of varied industries including IT companies and knowledge-intensive higher education institutions. In addition to reviewing relevant studies, this section aids in hypothesis development regarding five personality traits and their influence on knowledge acquisition and application behaviors.

3.1 Gender Differences in Knowledge Management Behaviors Personality Traits

The review of previous literature shows that personality traits have either positive or negative effects on knowledge management behavior. Esmaeelinezhad and Afrazeh (2018) confirmed the positive effect of two personality traits, openness and conscientiousness, on knowledge acquisition and application. In contrast, neuroticism negatively impacts knowledge acquisition and application behavior. Esmaeelinezhad and Afrazeh (2018) found that openness positively affects the knowledge acquisition, knowledge application, and knowledge-sharing behavior of individuals. Conscientiousness positively affects the “knowledge acquisition,” “knowledge application,” and “knowledge storage behavior” of individuals. The results of this study are contrary to the findings by Zhang, Zhou, and Zhang (2016) that extraversion and agreeableness were positively associated with knowledge sharing, however, conscientiousness, openness, and neuroticism were not significant in predicting knowledge sharing.

Gender differences in knowledge application behaviors among academic librarians have garnered attention due to their potential interaction with Big Five personality traits. Heisig and Kannan (2020) suggest that these traits may manifest differently across genders, influencing knowledge application patterns. Moreover, Tseng, Liang, and Tsai (2022) highlight how gender disparities in risk-taking and communication styles shape attitudes towards knowledge application, while Keshavarz (2022) underscores women’s predisposition to agreeableness, facilitating cooperative behaviors conducive to knowledge sharing.

However, Omar and Zaidi Adruce (2019) argue that agreeableness, although fostering collaborative environments, may not directly contribute to knowledge application. Nevertheless, women’s inclination towards cooperation and understanding can promote inclusive decision-making processes, facilitating knowledge implementation in collaborative settings. Meanwhile, Bleidorn, Hopwood, and Lucas (2018) note the ambiguity surrounding the impact of conscientiousness on knowledge application, particularly regarding gender differences. Additionally, gender disparities in openness to experience, cognitive curiosity, and receptiveness to new ideas appear minimal, as both men and women can exhibit high levels of openness (Heisig and Kannan 2020).

3.2 Relationship of Knowledge Acquisition and Personality Traits

Psychology focuses on the relationship between knowledge acquisition and Big Five personality traits. This section further elaborates on the Big Five personality traits and their relationship with knowledge acquisition as described and studied in the previously published literature. The Big Five personality traits are discussed in the sequence of their original model (Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness).

Zhao and Seibert (2006) found that individuals with high scores in extraversion exhibit heightened levels of excitement, motivation, cheerfulness, and a stronger inclination toward teamwork. In this context, the research of Habashi, Graziano, and Hoover (2016) highlighted that the extraversion has a positive impact on knowledge acquisition engagement among academic librarians; their sociability and ability to interact with other professionals in the industry, as well as students, may provide a means for them to gather information, participate in research projects collaboratively, and assist users adequately (Thomas et al. 2020). In addition, Bleidorn, Hopwood, and Lucas (2018) illustrated that their assertive communication style contributes to the implementation of knowledge by sharing ideas and explaining to others in the exploitation of acquired knowledge. Elsewhere, Gupta (2008) found that extraversion personality traits positively affect students’ knowledge acquisition behavior, while Hsieh, Hsieh, and Wang (2011) investigated biotechnological companies in Taiwan, revealing a positive impact of the extraversion trait on knowledge acquisition. Conversely, in a study focusing on an Iranian firm by Esmaeelinezhad and Afrazeh (2018), no association between extraversion and knowledge acquisition was found. This was further explained by Borges (2012) who cited how introverts were more motivated to acquire, share, and apply new knowledge and ideas than extroverts. Extroverts were better listeners which allowed them to acquire knowledge effectively, discuss it objectively, and apply it effectively.

Agreeableness is a vital personality trait, with highly agreeable individuals known for their kindness, cooperativeness, and cheerfulness (Barrick and Mount 1991; Hofmann and Jones 2005). Some studies reported no effect of agreeableness on knowledge acquisition behavior (Esmaeelinezhad and Afrazeh 2018; Gupta 2008), however, Hsieh, Hsieh, and Wang (2011) claimed that agreeableness positively correlated with knowledge acquisition behavior.

The conscientiousness trait endows individuals with meticulousness and self-discipline, enabling them to adeptly handle diverse tasks (Barrick and Mount 1991). Those who exhibit conscientiousness are driven toward achieving their goals and demonstrating organization, discipline, and reliability (Perry et al. 2010). However, Ji et al. (2021) detailed that concerning academic librarians, conscientiousness is a dynamic personality trait as it defines their organized and goal-directed nature in the pursuit of knowledge. Taking advantage of professional development opportunities, lifelong learning, and staying up-to-date with various new information resources as well as technologies is something conscientious librarians are very enthusiastic about. This learning-focused commitment amplifies their abilities to disseminate accurate and relevant information as well as knowledge application. Highly conscientious individuals are more likely to acquire and apply their knowledge systematically and efficiently, with literature evidencing that there was a significant effect of conscientiousness on knowledge acquisition behavior (Esmaeelinezhad and Afrazeh 2018; Gupta 2008; Hsieh, Hsieh, and Wang 2011).

Zitny and Halama (2011) explored neuroticism, noting its features such as heightened anxiety, depression, angry hostility, and impulsiveness. Literature showed that neuroticism personality traits had a negative impact on an individual’s knowledge acquisition and application behavior (Esmaeelinezhad and Afrazeh 2018; Hsieh, Hsieh, and Wang 2011).

Bozionelos (2004) defines openness to experience as encompassing adaptive thinking, high responsiveness, and the ability to set realistic goals and ideas, while Digman (1990) emphasizes creative thinking, collaborative learning eagerness, and contextual versatility. Elsewhere, Brown and Palincsar (2018) mentioned that openness is also important for academic librarians as it makes them curious and responsive to new ideas and technology. The librarians who are open to new information and ideas in the field of information science, experiment with innovative practices of library services, and receive new knowledge that can benefit their work constitute this category. This openness toward newness helps librarians in changing and applying expanded knowledge (Harvey et al. 2019).

Based on the above discussion, the following hypotheses were developed to provide clear expectations regarding the relationships between personality traits and knowledge acquisition behaviors of academic librarians:

H1:

Extraversion positively affects the knowledge acquisition behavior of academic librarians.

H2:

Agreeableness positively affects the knowledge acquisition behavior of academic librarians.

H3:

Conscientiousness positively affects the knowledge acquisition behavior of academic librarians.

H4:

Neuroticism negative affects on the knowledge acquisition behavior of academic librarians.

H5:

Openness positively affects the knowledge acquisition behavior in academic librarians.

3.3 Relationship of Knowledge Application and Personality Traits

The relationship between personality traits and knowledge application behavior has become more significant concerning academic librarians. This section describes the literature that has studied the relationship between any of the Big Five personality traits and knowledge application.

People with extraversion traits are naturally upbeat and social, facilitating relationship building and maintenance. They are sociable, talkative, and assertive (Mushonga and Torrance 2008), embodying high energy levels and optimism (Rothmann and Coetzer 2003). Furthermore, extraversion supports teamwork and related activities in the library setting, especially for those who are sociable and outgoing to disseminate knowledge and work with their fellow workers (Mammadov 2022). However, Roberts (2018) mentioned that it is important to note that by itself, extraversion does not ensure the effective transmission of knowledge since critical thinking and decision-making skills are also necessary for the practical application of knowledge.

People who possess agreeableness traits are characterized by being affable, polite, trusting, forgiving, kind-hearted, and attentive to the well-being of others, as well as adept in interpersonal communication skills (Giluk and Postlethwaite 2015). Thomas et al. (2020) elucidated that the relationship between agreeableness and knowledge application behavior in academic librarians is unclear; although agreeable people are perceived as cooperative, it remains unclear if there is a direct correlation between agreeableness and efficient knowledge implementation. Other variables such as motivation, problem-solving, and flexibility contribute significantly to determining the level of knowledge application by librarians (Bleidorn, Hopwood, and Lucas 2018). The study of biotechnological companies in Taiwan conducted by Hsieh, Hsieh, and Wang (2011) found that the extraversion personality trait positively affected knowledge application, however, some studies reported that knowledge application behavior had no effect of agreeableness on knowledge acquisition (Esmaeelinezhad and Afrazeh 2018; Gupta 2008).

Conscientiousness is characterized by individuals possessing strong-mindedness, responsibility, and organization, and remaining focused and accountable in their tasks (Rothmann and Coetzer 2003). Esmaeelinezhad and Afrazeh (2018) argued that conscientiousness favored knowledge application behavior because individuals with high conscientiousness are likelier to use their knowledge to solve problems, make decisions, and create new ideas.

Templer (2012) described neuroticism as a disposition towards reduced activity levels, consistent negative thinking, and experiencing emotions such as fear, sadness, and embarrassment. Mandal and Dasgupta (2019) stated that neuroticism, which stands for instability and anxiety, could challenge the behaviour of knowledge application in academic librarians; individuals that score high on the neuroticism factor may have fear of failure, self-doubt, and stressor management difficulties, with all these factors potentially undermining their confidence and depriving them of the opportunity to apply acquired knowledge in real life. Furthermore, literature also showed that neuroticism personality traits have a negative impact on an individual’s knowledge acquisition and application behaviour (Esmaeelinezhad and Afrazeh 2018; Hsieh, Hsieh, and Wang 2011). Nevertheless, it is important to point out that neuroticism is not the only predictor of knowledge application behaviour as self-efficacy and coping strategies could also influence this trait among librarians (Heisig and Kannan 2020).

Openness traits encompass individuals who are imaginative, intelligent, and creative, possessing a diverse array of interests (Bui 2017). Research reveals that openness has a positive relationship with knowledge application behaviour. Those with higher openness scores are likely to use their knowledge in group discussions and assignments, originate new knowledge to solve workplace problems, and share their expertise during problem-solving (Barak and Levenberg 2016).

As previously explained, hypotheses are essential for understanding the relationship between personality traits and knowledge-related activities. In this section, five hypotheses are developed to explore the connection between personality traits and knowledge application behaviors:

H6:

Extraversion positively affects the knowledge application behavior of academic librarians.

H7:

Agreeableness positively affects the knowledge application behavior of academic librarians.

H8:

Conscientiousness positively affects the knowledge application behavior of academic librarians.

H9:

Neuroticism negatively affects the knowledge application behavior of academic librarians.

H10:

Openness positively affects the knowledge application behavior of academic librarians.

4 Research Design

The research study opted a quantitative research design, aligning with the study’s objectives and the nature of empirically gathered data, which is best suited for quantitative analysis. Quantitative research explains phenomena through numerical data, analyzed using mathematically-based methods, particularly statistics (Yilmaz 2013). This approach is supported by the successful utilization of quantitative research design in several relevant studies (Esmaeelinezhad and Afrazeh 2018; Gupta 2008; Hsieh, Hsieh, and Wang 2011).

4.1 Study Participants

The library professionals serving in the Punjab province and in the capital city, Islamabad, were selected as the population of the study. Punjab is the world’s largest and fifth-most populous province, accounting for about 55 % of Pakistan’s total population and being diverse in respect of languages, cultures, and customs. The economic condition and literacy rate are comparatively higher here than in the other provinces of Pakistan. Islamabad, the capital city of Pakistan, is well-developed, economically established, and has a high literacy rate.

The inclusive criteria for participants were; 1. They are working in the university libraries of Punjab and Islamabad; and 2. They have at least a Master’s degree in Library and Information Science. Following this criterion, a list of professionals was prepared by the researcher. As per the Higher Education Commission Pakistan, there are 118 public and private sector universities in Punjab and Islamabad. A total of 534 professionals were working in the central libraries of these universities.

4.2 Instrument

Seeking help from the literature by keeping in mind the objectives of the study, a questionnaire consisting of three parts was compiled. The parts of the questionnaire were comprised of the Big Five personality traits, knowledge acquisition and application, and demographic information of the respondents. The Big Five Personality Traits included extraversion, agreeableness, conscientiousness, neuroticism, and openness. It was developed by John and Srivastava (1999) and successfully employed in several relevant studies of Library and Information Science, teachers, and healthcare (Agyemang, Dzandu, and Boateng 2016; Ahmed, Rehman, and Sheikh 2019; Ganu and Kogutu 2014).

The second part of the questionnaire was related to knowledge acquisition and application behavior. The literature guided the development of 11 statements of knowledge acquisition and application behavior (Akhavan et al. 2016; Gharakhani and Mousakhani 2012; Kim and Lee 2010; Liu and Liu 2008; Majid and Panchapakesan 2015; Reio and Wiswell 2000). The ten statements of the second sub-section, i.e., knowledge application, were taken from previous literature (Alosaimi et al. 2016; Esmaeelinezhad and Afrazeh 2018; Kim and Lee 2010; Sarrafzadeh, Martin, and Hazeri 2010; Sood and Chaubey 2011). The second portion of the instrument was examined by a group of library and information science specialists to ensure validity, while the third section of the questionnaire was about demographic information including gender, age, education, employment position, and experience. The study employed a Likert scale ranging from Strongly Disagree = 1 to Strongly Agree = 5 to assess both the Big Five Personality Traits and knowledge application behavior. However, for knowledge acquisition behavior, a Likert-type scale ranging from Never = 1 to Frequently = 5 was utilized, as it was deemed more suitable for the types of questions asked.

4.3 Data Collection Procedure

The questionnaire was created in the Google form for online data collection and the printed questionnaires were also distributed among library professionals accessible to the researchers. The researchers meticulously compiled a comprehensive list (including contact details) of librarians employed in the university libraries of Punjab and Islamabad, with this process involving tapping into various resources, including library websites, personal contacts, and professional groups within the library community. In the first phase, the questionnaires (Google form link) were emailed and sent through WhatsApp depending upon the availability of contact details to the researcher. Reminders were later sent to follow up the questionnaires. Finally, 371 responses were received, from which 14 questionnaires were discarded due to more than 30 % missing entries.

4.4 Data Analysis

The gathered data of 357 academic librarians were analyzed through the Statistical Package for Social Sciences (SPSS) employing descriptive and inferential statistics. The reliability, sampling accuracy, and sphericity of the Big Five personality traits and knowledge acquisition and application were examined using Cronbach’s alpha, KMO, and Brettlet tests. To examine whether there were any gender differences in personality traits, knowledge acquisition, and application, an independent sample t-test was used. The link and impact of the Big Five personality traits on knowledge acquisition and application behavior were also examined using Pearson correlation and multiple regressions. By employing these statistical tests, the study aimed to provide comprehensive insights into the relationships between personality traits, knowledge acquisition, and application behaviors among academic librarians, thereby contributing to the understanding of factors influencing their professional practices.

4.5 Reliability and Validity of the Instrument

According to the Frankfort-Nachmias and Nachmias (2008) proposed criterion of 0.70, the study’s alpha values, which ranged from 0.898 to 0.960, were good. The Kaiser-Meyer-Olkin (KMO) and Bartlett tests were used to determine the appropriateness of the sampling. According to Table 1, the values of KMO were more than the cutoff point of > 0.50 proposed by Kaiser (1970) and ranged between 0.947 and 0.975. Additionally, the principal component analysis (PCA) was used to perform Bartlett’s test of sphericity, and the findings were significant (p = .000), demonstrating a strong correlation between the items and the suitability of the data for PCA.

Table 1:

Reliability and validity of instrument.

Sr# Variable name Total items Alpha value (segment wise) KMO measure of sampling adequacy Bartlett’s test of sphericity
1 Extraversion 08 0.940 0.953 0.000
2 Agreeableness 09 0.952 0.965 0.000
3 Conscientiousness 09 0.938 0.956 0.000
4 Neuroticism 08 0.935 0.947 0.000
5 Openness to experience 10 0.941 0.960 0.000
6 Knowledge acquisition 11 0.960 0.975 0.000
7 Knowledge application 10 0.898 0.964 0.000

5 Results and Findings

Table 2 shows that, out of 357 responses, the majority of the participants were male (62.5 %, n = 223). The majority of the respondents (37 %, n = 131) were also in the age group of 31–40 years of age, with 32 % (n = 115) up to 30 years old and 24 % (n = 86) within the age bracket of 41–50. Years. A small number (7 %, n = 25) of respondents were older than 50. Regarding educational level, the result found that more than two-thirds of academic librarians (76 %, n = 271) had a master’s, while 24 % (n = 85) had an M. Phil degree, and only one respondent had a Ph.D. degree. Table 2 also described the respondents’ designation, with the result revealing that more than half (59 %) of academic librarians were working as librarians, while almost 36 % were either senior librarians (19 %) or assistant librarians (17 %). Very few respondents were from higher positions, working as deputy/chief librarians (5 %, n = 18), while the majority of the respondents (69 %) were working in public universities, with 31 % from private sector universities. The respondent’s job status indicated that most (64 %) worked as a permanent employee in their libraries while 36 % worked on a contract basis. Regarding job experience, results showed that 76 % of respondents had either less than five years or 6–10 years of professional experience. Only 19 % of participants had more than 11 years of professional experience.

Table 2:

Demographical information of academic librarians (N = 357).

Demographic Frequency Percentage
Gender
Male

Female
223

134
62.5

37.5
Age
Up to 30 years

31–40 years

41–50 years

51–60 years
115

131

86

25
32.2

36.7

24.1

7
Education
Master

M. Phil/PhD
271

86
76

24
Designation
Assistant library

Librarian

Senior library

Deputy/Chief librarian
60

212

67

18
16.8

59.4

18.8

5
Type of university
Public

Private
247

110
69.2

30.8
Job status
Permanent

Contract
228

129
64

36
Experience
Less than 5 years

6–10 years

11–15 years

16–20 years
137

135

67

18
38.4

37.8

18.8

5

5.1 Personality Traits of Academic Librarians

5.1.1 Extraversion

Extraversion personality traits of academic librarians are presented in Table 3. The majority of the participants agreed that they consider themselves full of energy (µ = 3.57), socially able (µ = 3.51), and liking to communicate with others (µ = 3.49). Academic librarians neither agreed nor disagreed with the statements related to tending to be “quiet” (µ = 2.78), “reserved” (µ = 2.81), and “shy” (µ = 2.82). Their opinion regarding being of an enthusiastic (µ = 3.34) and assertive (µ = 3.11) personality also seemed neutral.

Table 3:

Extraversion personality traits (N = 357).

I see myself as someone who: M SD
is full of energy 3.57 1.24
is socially able 3.51 1.27
Likes communicating with others 3.49 1.26
Generates a lot of enthusiasm 3.34 1.33
has an assertive personality 3.11 1.22
is sometimes shy 2.82 1.33
is reserved 2.81 1.33
Tends to be quiet 2.78 1.30
Total 3.21 0.35
  1. Scale: (1) = Strongly disagree, (2) = Disagree, (3) = Neither agree nor disagree, (4) = Agree, (5) = Strongly agree.

5.1.2 Agreeableness

The result of the second personality trait, agreeableness (Table 4), showed that academic librarians agreed they are considerate and kind to almost everyone (µ = 3.63) and tended to trust others (µ = 3.52). They also considered themselves helpful and unselfish (µ = 3.50) and liked cooperating with others (µ = 3.46). The remaining statements seemed neutral, as presented in Table 4.

Table 4:

Agreeableness personality traits (N = 357).

I see myself as someone who: M SD
is considerate and kind to almost everyone 3.63 1.32
is generally trusting 3.52 1.30
is helpful and unselfish with others 3.50 1.26
Likes to cooperate with others 3.46 1.31
has a forgiving nature 3.31 1.15
Tends to find fault with others 3.27 1.23
is sometimes rude to others 2.87 1.31
Starts arguments with others 2.75 1.35
can be cold and aloof 2.75 1.28
Total 3.22 0.29
  1. Scale: (1) = Strongly disagree, (2) = Disagree, (3) = Neither agree nor disagree, (4) = Agree, (5) = Strongly agree.

5.1.3 Conscientiousness

Table 5 describes the conscientiousness personality traits of academic librarians. The result found that most participants considered themselves workers who did a thorough job (µ = 3.56) and showed efficiency (µ = 3.56), as well as continued their task until it was finished (µ = 3.48), made plans, and followed through on them (µ = 3.47). Most of the respondents neither agreed nor disagreed with the statements of being a “reliable” (µ = 3.23),“disorganized” (µ = 2.95), “careless” (µ = 2.90), “lazy” (µ = 2.85), and “easily distracted” worker (µ = 2.70). The result indicates that they considered themselves conscientious personalities.

Table 5:

Conscientiousness personality traits (N = 357).

I see myself as someone who M SD
Does a thorough job 3.56 1.24
Does things efficiently 3.56 1.22
Continues until the task is finished 3.48 1.21
Makes plans and follows through with them 3.47 1.26
is a reliable worker 3.23 1.43
Tends to be disorganized 2.95 1.26
can be somewhat careless 2.90 1.33
Tends to be lazy 2.84 1.35
is easily distracted 2.70 1.41
Total 3.19 0.33
  1. Scale: (1) = Strongly disagree, (2) = Disagree, (3) = Neither agree nor disagree, (4) = Agree, (5) = Strongly agree.

5.1.4 Neuroticism

Table 6 presents the neurotic aspect of personality traits. The results disclose that the respondents considered themselves emotionally stable (µ = 3.59) and stayed composed in stressful situations (µ = 3.56). The participants neither agreed nor disagreed with the statements related to remaining relaxed and handling stress well (µ = 3.26). They agreed that they became nervous (µ = 3.19), however, they neither agreed nor disagreed about being depressed (µ = 2.79), tense (µ = 2.85), and moody (µ = 2.98).

Table 6:

Neuroticism personality traits (N = 357).

I see myself as someone who M SD
is emotionally stable 3.59 1.17
Remains calm in tense situations 3.56 1.20
Worries a lot 3.49 1.11
is relaxed and handles stress well 3.26 1.29
Gets nervous easily 3.19 1.27
can be moody 2.98 1.05
can be tense 2.85 1.25
is depressed 2.79 1.23
Total 2.86 0.43
  1. Scale: (1) = Strongly disagree, (2) = Disagree, (3) = Neither agree nor disagree, (4) = Agree, (5) = Strongly agree.

5.1.5 Openness

Table 7 shows the results of “openness” traits. Most academic librarians considered themselves deep thinkers (µ = 3.66) and sophisticated (µ = 3.64). They considered themselves as having new ideas (µ = 3.63) and being inventive (µ = 3.47). Conversely, participants disagreed with considering themselves as preferring routine work (µ = 2.37). Most of the respondents neither agreed nor disagreed that they were curious about many different things (µ = 3.37), valued artistic aesthetic experiences (µ = 3.35), and liked to reflect on ideas (µ = 3.32).

Table 7:

Openness personality traits (N = 357).

I see myself as someone who M SD
is a deep thinker 3.66 1.17
is sophisticated in art, music, and/or literature 3.64 1.16
is original, comes up with new ideas 3.63 1.16
is inventive 3.47 1.20
is curious about many different things 3.37 1.17
Values artistic aesthetic experiences 3.35 1.26
Likes to reflect on ideas 3.32 1.20
has an active imagination 3.26 1.23
has few artistic interests 2.55 1.25
Prefers work that is routine 2.37 1.18
Total 3.26 0.59
  1. Scale: (1) = Strongly disagree, (2) = Disagree, (3) = Neither agree nor disagree, (4) = Agree, (5) = Strongly agree.

5.2 Total Mean Score of Big Five Personality Traits

Table 8 presents the total mean score of the Big Five personality traits of the academic librarians. The result revealed that out of five personality traits, the majority of the participants had an openness to experience personality traits (μ = 3.26, SD = 0.59) followed by agreeableness (μ = 3.22, SD = 0.29), extraversion (μ = 3.21, SD = 0.35), and conscientiousness (μ = 3.19, SD = 0.33). Surprisingly, neuroticism personality traits also got a mean score of 2.86, with participants saying they neither agreed nor disagreed.

Table 8:

Total mean score of Big Five personality traits.

Personality traits M SD
Openness to experience 3.26 0.59
Agreeableness 3.22 0.29
Extraversion 3.21 0.35
Conscientiousness 3.19 0.33
Neuroticism 2.86 0.43

5.3 Knowledge Acquisition

Table 9 presents the knowledge acquisition of academic librarians. The analysis found that most academic librarians acquired their knowledge by attending training programs (µ = 3.62) and participating in group meetings (µ = 3.61). The participants also occasionally got knowledge by using social media platforms such as Facebook and Twitter (µ = 3.30), reading journal articles (µ = 3.28), reading books, and through personal experience (µ = 3.22). They also acquired knowledge on an occasional basis from research reports (µ = 3.08), meeting their senior colleagues (µ = 3.04), best practices, benchmarking within or outside their organization (µ = 2.80), reading newspapers (µ = 2.77), and practical assignments (µ = 2.65).

Table 9:

Knowledge acquisition (N = 357).

I prefer to acquire knowledge through M SD
Attending training programs 3.62 1.22
Group meetings 3.61 1.18
Using social media (facebook, twitter, etc.) 3.30 1.25
Reading journal articles 3.28 1.29
Reading books 3.25 1.34
My own personal experience 3.22 1.09
Research reports 3.08 1.29
Meeting senior colleagues 3.04 1.25
Best practices or benchmarking within or outside my organization 2.80 1.18
Reading newspapers 2.77 1.32
Practical assignments 2.65 1.17
  1. Scale: (1) = Never, (2) = Rarely, (3) = Occasionally, (4) = Frequently, (5) = Very frequently.

5.4 Knowledge Application Behavior

Table 10 presents the knowledge application behavior of academic librarians within their organizations. The results found that academic librarians used their knowledge to furnish their daily assignments (µ = 3.65) and solve problems and challenges (µ = 3.61). Academic librarians also know how to use their knowledge to solve problems (µ = 3.59), apply their knowledge to deal with different types of library users (µ = 3.55), and improve their workplace efficiency (µ = 3.51).

Table 10:

Knowledge application behavior (N = 357).

Statements M SD
I Apply my knowledge to furnish my daily assignments 3.65 1.13
I Can easily find out sources of knowledge and apply them to solve problems and challenges 3.61 1.14
I Know how to use my knowledge to solve the problems 3.59 1.11
I Apply my knowledge to deal with different types of library users 3.55 1.23
I Use knowledge to improve the efficiency of my workplace 3.51 1.16
I Consider the consequences of my personal knowledge application 3.10 1.21
I Apply my knowledge to develop new tools for library services 3.07 1.14
I Actively use knowledge to deal with unusual circumstances 2.87 1.24
I Do not take the risk of applying my knowledge to solve any problem at my workplace 2.77 1.12
I Use my knowledge in the development of new services 2.73 1.16
Total 3.32 0.84
  1. Scale: (1) = Strongly disagree, (2) = Disagree, (3) = Neither agree nor disagree, (4) = Agree, (5) = Strongly agree.

5.5 Gender-wise Differences in Personality Traits

5.5.1 Gender

The independent samples t-test was employed to check the difference in personality traits among academic librarians based on gender. The results are presented in Table 11, which indicates that academic librarians differed significantly about the openness personality trait based on gender as the p-value (t = 2.22, p = .027) is less than .05. A comparison between male (µ = 3.32, SD = .57) and female (µ = 3.17, SD = .61) mean scores indicated that male academic librarians considered themselves more creative, more open to trying new things, and more willing to accept new challenges than their female counterparts. Most female academic librarians disliked the existing environment and resisted new ideas. No significant difference was found in the other personality traits, including extraversion, agreeableness, conscientiousness, and neuroticism, indicating that male and female academic librarians did not differ in these personality traits.

Table 11:

Gender-wise differences (N = 357).

Study variables Male

N = 224
Female

N = 133
t P
M SD M SD
Extraversion 3.22 0.36 3.20 0.33 −0.765 0.445
Agreeableness 3.04 0.28 3.02 0.29 −0.561 0.575
Conscientiousness 3.21 0.32 3.15 0.33 −1.54 0.124
Neuroticism 2.83 0.44 2.90 0.41 1.63 0.103
Openness 3.32 0.57 3.17 0.61 2.22 0.027
Knowledge acquisition 3.44 0.94 3.06 0.96 −3.69 0.000
Knowledge application behavior 3.40 0.85 3.19 0.82 −2.32 0.021
  1. Note: value is significant p < 0.05.

The result also presented the difference between academic librarians’ knowledge acquisition and application behavior based on gender in Table 11. Academic librarians differed significantly with regards to knowledge acquisition (t = -3.69, p = .000) and application behavior (t = -2.32, p = .021) based on gender as the p-value is less than .05. A comparison of mean values indicated that males considered themselves more frequent knowledge acquirers and applied their knowledge in their organizations more than female colleagues.

5.6 Relationship Between Personality Traits and Knowledge Acquisition and Application Behavior

Table 12 shows the correlation matrix between the Big Five personality traits and academic librarians’ knowledge acquisition and application behavior. The results found that the extraversion personality trait was significantly associated with knowledge acquisition (r = 0.225**) and knowledge application (r = 0.189**). Similarly, agreeableness was significantly associated with knowledge acquisition (r = 0.186**) but not significantly associated with the knowledge application behavior of academic librarians. Meanwhile, the neuroticism personality trait was negatively associated with knowledge acquisition (r = −0.460**) and knowledge application (r = 0.233**) behavior of academic librarians. Elsewhere, openness was positively associated with knowledge acquisition (r = 0.412**) and knowledge application (r = 0.452**) behavior of study participants.

Table 12:

Correlation matrix.

Key Construct 1 2 3 4 5 6 7
Extraversion 1
Agreeableness 0.001 1
Conscientiousness 0.053 −0.007 1
Neuroticism −0.073 −0.103 −0.005 1
Openness 0.148a 0.140a −0.025 −0.233a 1
Knowledge acquisition 0.225a 0.186a 0.022 −0.460a 0.412a 1
Knowledge application 0.189a 0.085 0.038 −0.233a 0.452a 0.549a 1
  1. Note: acorrelation is significant at the 0.01 level (2-tailed).

Conscientiousness had no significant correlation with academic librarians’ knowledge acquisition and application behavior. The result revealed that socialized academic librarians with unique ideas and trust in other people were more likely to acquire and apply their knowledge in their organization, while depressed participants who had a lot of tension, fear, and negative thinking usually avoided acquiring new knowledge and then applying their knowledge in their organizations.

5.7 Regression Analysis Between Personality Traits and Knowledge Acquisition and Application Behavior

Multiple regression is usually used to predict and weigh the relationship between a group of independent and dependent variables (Lotfi et al. 2016). Multiple regression was applied to measure the effect of the present study’s independent variables on dependent variables, considering personality traits as independent variables and two aspects of knowledge management behavior (knowledge acquisition and application) as dependent variables.

5.7.1 Effect of Big Five Personality Traits on Knowledge Acquisition

Table 13 shows that the extraversion (β = 0.419, t = 3.50, p = 0.001), agreeableness (β = 0.356, t = 2.45, p = 0.014), and openness personality traits (β = 0.473, t = 6.38, p = 0.000) significantly affected knowledge acquisition behavior of the academic librarians. Similarly, neuroticism personality traits (β = −0.822, t = −8.90, p = 0.000) significantly affected knowledge acquisition negatively, while conscientiousness personality traits of academic librarians (β = 0.059, t = 0.465, p = 0.643) did not predict their knowledge acquisition behavior as the results were insignificant. Overall, the result found that the Big Five personality traits explained 34.4 % (R 2  = 0.344) of the variance in the knowledge acquisition of academic librarians.

Table 13:

Effect of Big Five personality traits on knowledge acquisition.

Unstandardized

Coefficients
Standardized

Coefficients
t p
Beta Std. Error Beta
Extroversion 0.419 0.119 0.154 3.50 0.001
Agreeableness 0.356 0.145 0.108 2.45 0.014
Conscientiousness 0.059 0.127 0.020 0.465 0.643
Neuroticism −0.822 0.099 −0.370 −8.30 0.000
Openness −0.473 0.074 0.289 6.38 0.000
  1. a. Dependent variable: knowledge acquisition, N = 357, p < 0.05, b. R2 = 0.344.

5.7.2 Effect of Big Five Personality Traits on Knowledge Application

The effect of the Big Five personality traits on knowledge application behavior was explained in Table 14, which revealed that the extraversion (β = 0.282, t = 2.49, p = 0.0.13) and openness personality traits (β = 0.581, t = 8.27, p = 0.000) significantly affected knowledge application behavior of the academic librarians. Similarly, neuroticism personality traits (β = −0.251, t = −2.68, p = 0.008) significantly but negatively affected knowledge application behavior. The result also indicated that the regression model predicted knowledge application behavior that was not significant was measured well with agreeableness (β = 0.044, t = 0.319, p = 0.750) and conscientiousness (β = 0.106, t = 0.885, p = 0.377). The result also revealed that the Big Five personality traits explain 23.8 % (R 2  = 0.238) of the variance in knowledge application behavior of the academic librarians (Figure 2).

Table 14:

Effect of Big Five personality traits on knowledge application behavior.

Unstandardized

Coefficients
Standardized

Coefficients
t p
Beta Std. Error Beta
Extroversion 0.282 0.113 0.118 2.49 0.013
Agreeableness 0.044 0.137 0.015 0.319 0.750
Conscientiousness 0.106 0.120 0.041 0.885 0.377
Neuroticism −0.251 0.094 −0.129 −2.68 0.008
Openness 0.581 0.070 0.404 8.27 0.000
  1. a. Dependent variable: knowledge application, N = 357, p < 0.05, b. R2 = 0.238.

Figure 2: 
Structural model. Notes: ∗p<0.05; ∗∗p<0.01; ∗∗∗p<0.001.
Figure 2:

Structural model. Notes: ∗p<0.05; ∗∗p<0.01; ∗∗∗p<0.001.

6 Discussion

The Big Five personality traits, which include extraversion, agreeableness, conscientiousness, neuroticism, and openness, are a commonly accepted model of personality. According to Gerber et al. (2011), this supports the assumption that people’s behaviors at work mainly depend on their differences, such as their personality traits.

According to the highest mean values of the Big Five personalities, the result shows that the majority of respondents considered that they possess openness (deep thinker, sophisticated in art and music, have new ideas), agreeableness (very kind to everyone, generally trusting, helpful and unselfish), extraversion (full of energy, socially able, like to communicate with others), conscientiousness (does a thorough job, does things efficiently, and continues until the task is finished), and neuroticism (emotionally stable, remains calm in tense situations) personality traits (Table 37). This result of the study is similar to earlier studies; for example, Khurshid (2011) examined the Big Five personality traits of teachers and identified that teachers have the highest score on “openness” and the lowest score on “neuroticism” traits. However, the result is contrary to the findings by Bui (2017), in which respondents gave the highest importance to “agreeableness” and the lowest to “openness” traits. Similarly, Ahmed, Rehman, and Sheikh (2019) revealed that Pakistani LIS students gave the highest score on openness traits and the lowest score on extrovert traits. Though LIS professionals considered themselves to have open and agreeable personalities, they worried a lot and became nervous in some situations.

Regarding knowledge acquisition, the analysis found that the majority of academic librarians acquired their knowledge by attending training programs, followed by participating in group meetings (Table. 8). Gharakhani and Mousakhani (2012) reported that people obtain knowledge from a variety of sources, such as newspapers, articles, training programs, and the creation of new knowledge through experimentation with new ways of working and discussion with colleagues, etc. On the contrary, the respondents demonstrated that using social media platforms, practical assignments, reading newspapers, and best practices or benchmarking within or outside their organization were comparatively less preferred knowledge-acquiring activities for academic librarians. This finding might be because their job activities required less knowledge from newspapers, reports, and best practices compared with people from business and industry who solicit more knowledge through these sources.

The academic librarians reported using their knowledge to complete daily tasks and to solve problems and challenges, and applying their knowledge to deal with different types of library users and improve efficiency at work (Table 9). Literature suggests that knowledge application requires a conducive organizational culture that favors and encourages employees to use knowledge for making decisions and taking action. Nesheim, Olsen, and Tobiassen (2011) opined that community management, line support, and intrinsic motivation positively impact knowledge application.

The result indicates that academic librarians differed significantly in openness personality traits based on gender (see Table 10). Male academic librarians considered themselves more creative, open to trying new things, and accepting new challenges. This might result from the cognitive bias named the “theory of Dunning-Kruger Effect,” in which people with a low ability often estimate themselves (Akbar, Malik, and Warraich 2023; Dunning 2011). Considering this illusionary superiority, these findings could be the overestimation of male participants, and they might not have rated themselves appropriately. Though further investigation can extend our understanding of female academic librarians’ personality traits, it may be assumed that local socio-culture can contribute as social norms for men and women are different in the country (Akbar, Malik, and Warraich 2023; Zai and Jan 2019). Earlier studies also identified such results as Ashiq et al. (2021) and Saleem et al. (2021) revealed that Pakistani female academic librarians faced various challenges at the workplace, such as family responsibilities, organizational challenges, commitment issues, and gender discrimination. These findings highlighted the need for flexible work environments and personality development training for Pakistani librarians, particularly females, to serve in a better capacity. Organizations should provide a friendly and stress-less environment to their employees for the betterment of the organizations. No significant difference was found in the other personality traits, including extraversion, agreeableness, conscientiousness, and neuroticism, indicating that male and female academic librarians did not differ in these personality traits.

The result revealed a significant difference between male and female academic librarians regarding knowledge acquisition and application behavior (Table 10). The result also revealed a significant difference between male and female academic librarians regarding knowledge acquisition and knowledge application. A comparison between gender and knowledge acquisition and knowledge application showed that males considered themselves more frequent knowledge acquirers than their female colleagues (Male = µ = 3.44, SD = 0.94, Female = µ = 3.06, SD = 0.96), with a similar situation observed regarding knowledge application behavior (Male, µ = 3.40, SD = 0.85 and Female = µ = 3.19, SD = 0.82). This might be because male academic librarians have more learning opportunities than female academic librarians in Pakistan. Earlier studies in the developing world identified that males focus on their jobs, learning, and development opportunities whereas females have to look after their families, children, household activities, and other family obligations (Ashiq et al. 2021; Saleem et al. 2021) which may have an adverse effect on their professional development. This result highlights the need for a better workplace environment with special services and allowances for working female academic librarians to get them fully involved in their organizations.

The results showed that the Big Five personality traits, knowledge acquisition, and knowledge application behavior were correlated (Table 12). Specifically, the results demonstrated that the extraversion personality trait was significantly associated with knowledge acquisition and knowledge application behavior. Similarly, agreeableness was significantly associated with knowledge acquisition but not knowledge application behavior. However, openness was positively associated with knowledge management constructs (knowledge acquisition and application). Finally, there was no significant association between conscientiousness knowledge acquisition and knowledge application behavior. These findings align with earlier studies; for example, Esmaeelinezhad and Afrazeh (2018) found that openness positively affects individuals’ knowledge acquisition and knowledge application behavior.

In contrast, neuroticism negatively impacts knowledge acquisition and application behavior. Lotfi et al. (2016) reported that openness, extroversion, and conscientiousness positively impact knowledge sharing while neuroticism has a negative effect. Conscientiousness personality traits did not affect academic librarians’ knowledge acquisition and knowledge application behavior.

The “extraversion,” “agreeableness,” and “openness” personality traits significantly affected the knowledge acquisition of the academic librarians. Neuroticism personality traits are significant but negatively affect knowledge acquisition. While “conscientiousness” traits did not affect academic librarians’ knowledge acquisition this study result is contrary to Gupta’s (2008) that there is no significant correlation between three personality traits (extraversion, openness, and neuroticism) and knowledge acquisition. One of the possible reasons for the negative effect of “neuroticism” personality traits is that when LIS professionals feel depressed, tense, and moody, they do not acquire knowledge. Ajmal, Helo, and Kekale (2010) stressed that management should incentivize employees to engage them in knowledge management initiatives, specifically knowledge acquisition activities.

The extraversion and openness personality traits significantly measured the knowledge application behavior of academic librarians. Neuroticism negatively significantly affects knowledge application behavior. The result predicted that agreeableness and conscientiousness were not significantly affecting the knowledge application behavior of academic librarians. Earlier studies reported that knowledge application is a central part of KMB as it adds value to the organization (Choi, Lee, and Yoo 2010; Ode and Ayavoo 2020). Ode and Ayavoo (2020) reported that knowledge generation, storage, and application boost organizational innovation. Knowledge application mediates the link between knowledge generation, diffusion, storage, and organizational innovation, and Ode and Ayavoo identified that knowledge management techniques contribute to innovation hierarchically, with knowledge application having the most impact on organizational innovation. Furthermore, Yahya and Goh’s (2002) knowledge application behavior enhances the organization’s effectiveness as people share operationally relevant knowledge. Applying knowledge makes it more active and relevant to creating a firm’s value (Choi, Lee, and Yoo 2010). Dhamdhere (2015) stated that knowledge acquisition and storage efforts would be well-spent if the knowledge is applied to solve real-life issues. Therefore, libraries should use knowledge applications to bring about innovation and resolve library issues.

7 Theoretical and Practical Implications

Theoretically, this study adds to the body of literature from the viewpoint of academic librarians, enhancing the literature on personality-knowledge acquisition and knowledge application behavior in general and the literature on library and information science in particular. Practically, the findings underscore the significance of academic librarians’ personality traits in leveraging their expertise effectively, which suggests that considering librarians’ personalities is crucial for optimizing their performance in practical contexts. Therefore, it is advisable for higher authorities in academic libraries to factor in the personalities of librarians when making employment decisions, as well as when engaging in organizational tasks such as job delegation, team formation, and decision-making processes. Such considerations can lead to more effective utilization of librarians’ skills and enhance overall organizational performance.

8 Future Directions and Limitations

This study only focuses on academic librarians employed by HEC-recognized public and private universities in Punjab and Islamabad, and thus results should be cautiously extrapolated to other contexts and regions of Pakistan. To increase generalizability, and to have a complete picture of the personality traits, knowledge acquisition, and application behaviors of librarians in Pakistan, comparable research might also be carried out in other regions of the country. Second, while the Big Five personality traits questionnaire by John and Srivastava (1999) was used in this study, other personality measurement scales can be used in the future, i.e., the Portuguese Ten-Item Personality Inventory (TIPI) by Nunes et al. (2018), the Eysenek Personality Profiler (EPP) by Eysenck (1992), and the International Personality Item Pool (IPIP) by Goldberg (1992). Additionally, because the study used a self-reported questionnaire survey, there is a chance that information was exaggerated or withheld to reveal academic librarians’ perspectives. Future researchers are advised to consider different research designs (qualitative, or mixed method) and data collection techniques like focus groups or interviews to enhance the quality of results.

9 Conclusion

The study highlighted the relationship between the Big Five personality traits and knowledge acquisition and application behavior among academic librarians, adding valuable insights to the literature on personality traits within library and information science. It found that the majority of academic librarians reported high levels of openness, agreeableness, extraversion, conscientiousness, and relatively low levels of neuroticism. Gender differences were also evident in self-reported personality traits, highlighting potential socio-cultural influences and emphasizing the importance of creating inclusive work environments. Additionally, significant correlations between specific personality traits and knowledge-related behaviors were identified, emphasizing the need to consider individual traits in promoting effective knowledge management practices within academic libraries. Overall, this study offers practical guidelines for enhancing organizational effectiveness and fostering professional development within the field of library and information science.


Corresponding author: Azeem Akbar, Institute of Information Management, University of the Punjab, Lahore, Pakistan; and Librarian, Govt. Raza Farooq Memorial Library, Pirmahal, T. T. Singh, Pakistan, E-mail:

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Received: 2024-02-10
Accepted: 2024-06-01
Published Online: 2024-08-29
Published in Print: 2024-09-25

© 2024 the author(s), published by De Gruyter, Berlin/Boston

This work is licensed under the Creative Commons Attribution 4.0 International License.

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