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The purpose of this study was to evaluate digital reference services at the Namibia University of Science and Technology (NUST) and the University of Namibia (UNAM) library. Two aspects were evaluated, namely, “resources” and “elements of the general digital reference model”.

This study adopted a descriptive case study approach and used qualitative research methods, which comprised interviews and an observation checklist. The population consisted of librarians working at NUST and UNAM Library.

The research findings showed that these libraries used the general digital reference model in providing responses to the library users. The study established that the two libraries did not follow the International Federation of Library Associations and Reference and User Services Association standards of staffing and training of librarians working with digital reference services. The study further found that a lack of ability to fully demonstrate to users how to access various library services was one of the major problems that the librarians experienced.

The study was limited to two academic libraries: UNAM and NUST.

The study could contribute to a better understanding of digital reference services provided by NUST and the UNAM libraries and contribute to the body of knowledge on the subject of digital reference services, especially in an African context, where few studies have been conducted on this subject. The two libraries could use the findings to improve digital reference services, plan for intervention and develop the services.

This research sought to empirically identify context specific dimensions of service quality at Zimbabwean State Universities. The study also sought to measure the ‘university-wide’ overall service quality at National University of Science and Technology (NUST) and to explore differences in service quality perception based on selected students’ demographic characteristics.

A case study strategy was used. Focus group discussions were used to qualitatively identify service quality variables; which were then subjected to quantitative evaluation through the administration of questionnaires on a sample of 294 students. Exploratory Factor Analysis was used to reduce the service quality variables into service quality dimensions.

Five dimensions of service quality were identified, namely: General Attitude, Facilitating Elements, Access, Lecture Rooms and Health Services. Results also showed that most students (48.3 per cent) perceived overall service quality at NUST to be average while 28.6 per cent and 23.1 per cent had a negative and positive perception of overall service quality respectively. Perceived overall service quality at NUST was found to differ significantly based on ‘students’ year of study’ and ‘faculty group’. Differences based on gender were found to be insignificant.

Identification of the five dimensions was a progressive step in developing a relevant service quality measurement instrument for a Zimbabwean State University context; and in so doing, contributing to literature on relevant service quality dimensions and measurement instruments in Zimbabwe and Africa in general. This was the first such study in Zimbabwe to address the context specific literature-gap on relevant service quality dimensions.

This paper aims to explore the diffusion of Intellectual Property (IP) knowledge in universities in Zimbabwe. Specifically, the study examines the tools, policies, programmes and unique strategies used by the universities.

The paper reports the findings of a survey that was conducted on a population of lecturers (1,546), research officers (RO) (11), IP officer (1), faculty librarians (FLs) (27) and final year undergraduate students (9,224) at universities in Zimbabwe. Questionnaires were administered to the lecturers and students while interviews were administered to the IP officer, ROs and FLs. Data analysis comprised the use of Google forms and Microsoft Excel software.

The findings reveal diffusing IP knowledge in Zimbabwean universities involves mainly the use of policies and regulations, library web pages, workshops, although not specifically on IP, presentations on IP in the university, advice and guidance services and IP lectures/teaching.

This study presents the IP situation in Zimbabwe and its findings may be applied to Africa and other developing countries.

This study endorses IP as a national issue and suggests a benchmark for diffusing knowledge on IP in Zimbabwean universities.

This study acknowledges the multi-disciplinary nature of IP and should lead to all university students graduating with adequate knowledge on IP.

The purpose of this paper is to identify the barriers halting the usage of sustainable modes of transportation in a university campus.

Two large-scale universities, namely, Quaid-i-Azam University and the National University of Sciences and Technology, in Islamabad have been taken as case studies with a sample population of 421. The questionnaire data, comprising 30 different barriers, were analysed by principal component analysis and mean value method.

The findings indicate that safety and infrastructural factors are the most influential ones affecting sustainable mobility within the campus. The provision of user-friendly and safe infrastructure and more frequent shuttle buses are recommended to promote the culture of sustainable transportation.

Inclusion of other large-scale universities of the country might give more generalized results. The sustainability of other areas associating with transportation can also be evaluated to explore other unfamiliar dimensions.

The outcome of this research expects to highlight important policy recommendations for the promotion of sustainable mobility inside the campus and also serves as a guiding principle for campus developers and policymakers for planning new campuses in other parts of the country.

This research can be considered as a starting point for achieving sustainability in the universities of Pakistan. The same research methodology can be opted in other campuses with the possibility of the addition of other related factors with different statistical analysis techniques as well.

As sustainable performance has a central role in the small and medium enterprises (SMEs) performance literature, this study aims to examine the influence of networking capabilities in enhancing sustainable performance through knowledge workers’ productivity and digital innovation. It also examines the sequential mediating role of knowledge workers’ productivity and digital innovation on networking capabilities and SMEs’ sustainable performance relationship.

Data were collected from 308 knowledge workers in the information technology sector and analyzed using the Hayes Process Macro bootstrapping method to test the proposed hypotheses.

Results indicate that knowledge workers’ productivity and digital innovation individually and sequentially mediate the relationship between networking capabilities and SME’s sustainable (economic and environmental) performance, surprisingly, they do not act as a mediator between networking capability and SME’s social performance. SMEs should prioritize investments in the professional development of their knowledge workers through training and skill enhancement programs. This investment equips knowledge workers with the tools to effectively use the knowledge and resources acquired through networking. Thus, knowledge workers may improve performance by using these resources to tackle challenges.

Although this research focused on this specific context, it is prudent to acknowledge that additional factors may also exert influence on sustainable performance within SMEs, factors that managers may consider when making decisions. Methodologically, the cross-sectional design of this research poses a potential limitation, as it does not allow for the complete elimination of endogeneity concerns. However, it is worth noting that scholars have endorsed the use of cross-sectional data in cases where management researchers aim to expand beyond well-documented and longitudinal data sets.

This research offers practical recommendations for SMEs to improve their sustainable performance through networking. SMEs should seek partnerships with complementary knowledge to improve operations and for other performance-oriented benefits.

This study adds significantly to the literature on sustainable SME performance by studying the interdependent effects of networking capabilities. It also represents the individual and sequential mediation mechanism that links networking capabilities to SME success through knowledge worker productivity and digital innovation.

Drawing upon the theoretical underpinning of knowledge worker productivity, this study aims to examine the relationship between abusive supervision and knowledge management (KM) process (creation, application and sharing of knowledge) and its impact on the knowledge worker productivity in knowledge-intensive organizations.

Hypothesis were tested through PROCESS Macro in IBM SPSS v.26 on a sample of 204 employees working in banking sector of Pakistan. Confirmatory factor analysis was conducted to test the model fitness through AMOS v. 26.

The results showed that the relationship between abusive supervision and KM process (creation, application and sharing of knowledge) is negative and highly significant, i.e. greater the abusive supervision in the banking sector, the lower is the engagement in KM processes. Furthermore, there is a positive and highly significant relationship between the KM process and knowledge worker productivity. Finally, the study indicates the negative impact of abusive supervision on the knowledge worker productivity through the mediating mechanism of knowledge management processes.

A key limitation is that the study is cross-sectional, and the findings may only be generalizable to developing countries context.

Previous studies have focused on supervisor–employee relationship but not in the context of knowledge worker productivity. This article fulfills this gap through understanding the impact of abusive supervision on the knowledge worker productivity in relation to KM processes (knowledge creation, sharing and application) by drawing upon the theoretical underpinning of knowledge worker productivity.

The purpose of this paper is to present results of a study that operationalizes the construct of disruptive innovation activities (DIA) at managerial level and to examine its validity.

A sequential mixed method approach is adopted in this study where a Likert-type scale to measure DIA is developed basing on the interviews of thirteen managers and conceptualization of disruptive innovation at manager level. Later, the scale validity and reliability are examined through quantitative data from 390 managers. The data are analyzed using IBM SPSS 23 and AMOS 21.

The findings of the study indicate that managers' DIA are spread across four phases of the disruptive innovation process, i.e. initiation, introduction, evolution and convergence. Furthermore, the reliability measures, exploratory factor analyses, confirmatory factor analysis and subsequent convergent and discriminant validity tests support the DIA scale. Nomological validity of DIA is also presented which demonstrates its predictive validity.

Limitations include research methods used in this study, such as cross-sectional design and nonprobabilistic sampling technique. Implications for future research are also provided.

Despite highlighting the importance of managers regarding disruptive innovation outcomes, prior research lacked to provide empirical foundations to understand the phenomenon from managerial perspective. This study fills this gap in the literature by providing a measure of DIA at manager level and distinguishing it from similar constructs. The construct validity of DIA can help measure an organization's disruptive potential in terms of its key human resource. Moreover, the DIA scale can be used to substantiate the alignment of the managerial activities with the innovation roles in organizational settings and to develop more relevant incentive plans.

The purpose of this study is twofold: to investigate the role of big data in firms’ co-knowledge and value creation and to understand the underlying drivers behind value creation through big data in the oil and gas industry by underscoring the role of firms’ capabilities, trends and challenges.

Following an inductive approach, semi-structured interviews were conducted with senior managers and analysts working in oil and gas companies across eight countries. The data collected from these key informants were then analysed using the qualitative data analysis software ATLAS.ti.

Value creation through big data is an important factor for enhancing performance. It has a positive impact on both tangible (organisational performance) and intangible (societal) aspects depending on the context. Oil and gas companies understand the importance of big data to creating value in their operations. However, implementing and using big data has been problematic. In this study, a framework was developed to show that factors such as the shortage of data experts, poor data quality, the risk of cyber-attacks and unsupportive organisational cultures impede its implementation and utilisation.

The findings from this study have implications for managers and executives implementing big data and creating value across various data-intensive industries. The research findings, are contextual, however, and should be applied cautiously.

This study contributes to the value creation literature in the big data context. The findings identify the key areas to be considered for the effective implementation and utilisation of big data in the oil and gas sector. This study addresses a broad but under-explored issue (i.e. knowledge creation from big data and its implementation) and strengthens the academic debate within this research stream.

This study aims to explore an interpersonal predictor of coworkers-directed knowledge hiding behavior – the leader–member exchange social comparison (LMXSC). This study integrates leader–member exchange literature with social comparison theory to hypothesize that an individual’s upward LMXSC is positively correlated with coworkers-directed knowledge hiding and that an individual’s feelings of envy are mediated by the relationship between upward LMXSC and coworkers-directed knowledge hiding behavior. Also, this study proposes two-way and three-way interaction patterns of goal interdependence, which can influence LMXSC–envy relationships.

Two independent studies are conducted to test the hypothesized relationships. In Study 1, the authors collected multi-wave data from a large public sector university in China (N = 1,131). The authors then replicated the Study 1 findings by collecting multi-source and multi-wave data from a telecom company based in China (n = 379).

The authors found support across both studies for the idea that upward LMXSC is a possible interpersonal predictor of coworkers-directed knowledge hiding behavior. More specifically, it was found that feelings of envy ensue from upward LMXSC, resulting in further coworkers-directed knowledge hiding behavior. Further, this study shows that the influence of upward LMXSC on knowledge hiding behavior via feelings of envy was weaker (stronger) when employees have high (low) cooperative goal interdependence with coworkers, respectively, and when employees have low (high) competitive goal interdependence with the coworkers, respectively.

This study extends current knowledge management literature by introducing LMXSC as an interpersonal predictor of coworkers-directed knowledge hiding behavior. This will help practitioners to curb such counterproductive behavior.

Research has shown that business model innovation can facilitate most ventures to innovate and remain competitive, yet there has been limited work on how digital leadership capabilities influence business model innovation. Building on the dynamic capabilities view, we address this gap by linking digital leadership capabilities with business model innovation via managerial decision-making through provision of grants received by new ventures.

The study is cross-sectional research. Data have been collected utilizing purposive sampling from 313 founding members of new ventures in high-velocity markets, i.e. from Pakistan. SPSS has been used to conduct the moderated mediation analysis.

Digital leadership capabilities foster the business model innovation of the new ventures because they enable new ventures to capitalize on digital technologies and create new ways of generating value for the customers and themselves. Moreover, managerial decision-making mediates digital leadership capabilities and business model innovation relationship, whereas, grants moderate the indirect positive effect of digital leadership capabilities on business model innovation via managerial decision-making. The study generates initial evidence on the impact of digital leadership capabilities on business model innovation via managerial decision-making for new ventures. We advance knowledge on new ventures’ business model innovation by deep-diving into dynamic capabilities view and emphasizing digital leadership capabilities as a significant driver for business model innovation.

With the help of dynamic capabilities theory, this study analyzes how new ventures make use of digital leadership capabilities to promote business model innovation.