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This paper aims to present insights on the governance of sustainability transitions in higher education in Africa. The authors interrogate the research literatures on the governance of socio-technical transitions in water, electricity, transport and waste management, and identify barriers and enabling factors that enhance transformative practices in universities.

The analytical framework proposed in this paper combines the elements of governance network theory (GNT) and transition topology. The framework of this study is grounded in an actor-centric approach using GNT to understand networks conducive to sustainability transitions. Events and governance networks were mapped on a transition topology to visualise organisational and institutional changes over time. The study engaged students, management, academic and administrative staff in building a community of practice towards sustainability. This research is based on qualitative content analysis grounded in interview data, focus group discussions, workshops, webinars and secondary data analysis.

The findings show that the university has consolidated a sustainability vision and targets, but several factors prevent the community from achieving these targets, including hierarchical decision-making processes, a multitude of disjointed committees and fragmentation in the campus community.

This research adds to an emerging body of literature in the field of sustainability in higher education with two contributions. Firstly, the study presents a novel perspective(s) on the governance of sustainability transitions by combining the literatures on governance and sustainability transitions using a new methodological approach of transition topology to show organisational and institutional changes. Secondly, the study presents new empirical evidence for improving the governance of sustainability transitions in a diverse and highly unequal African university community in the process of (de)colonisation of knowledge and governance.

The paper explored students-staff classroom co-creation and students' involvement in out-of-class engagements as means of fostering employability skills in higher education institutions (HEIs). The paper aimed to present an alternative but equally effective means that HEIs can leverage to foster relevant 21st Century employability skills among undergraduates using day-to-day in-class and out-of-class activities and other non-formal campus activities.

The study adopted descriptive survey design. A total of 350 undergraduates who participate in out-of-class activities were purposively selected from seven (7) faculties. An instrument designed by the author was used to gather data for the study. The instrument was subjected to Cronbach Alpha analysis for item-by-item consistency and it yielded the reliability co-efficient of 0.88. Data collected from the respondents were analyzed using descriptive statistics of frequency count, mean and standard deviation.

Interactive classrooms, where students and lecturers co-create to provide solutions to problems enhance students' self-esteem, problem solving, analytical, communication and leadership skills amongst others. It was also found that students who got involved in one or more out-of-class activity on campus acquire specific competencies such as networking, collaboration, communication, leadership, multidisciplinary thinking, etc.

Due to a limited sample size, it might be inappropriate to generalize findings. Researchers are encouraged to test this proposition further.

The paper highlights the need for HEIs to leverage student-staff co-creation and out-of-class engagement in their bid to produce employable graduates.

This paper clearly presents alternative but effective means of fostering employability in HEIs.

This study aims to investigate how indigenous socio-cultural (ISC) practices within informal networks, such as guanxi and wasta, provide benefits beyond mere access. Specifically, the authors explore their global impact on B2B relationships, focusing on reciprocity. A multiregional sample extends research on ISC practices in B2B relationships by examining contingency effects of informal network ties.

The authors surveyed 404 buyers in two developed (Hong Kong and Portugal) and two emerging economies (Kuwait and Colombia), and also categorized by strong and weak informal network ties. Using structural equation modeling, the authors examined a relationship marketing (RM) model from a typology (Clubs, Sociocracies, Clans and Compadres) for assessing contingency effects.

The study reveals that in developed economies with strong formal institutions, negative aspects of favor reciprocity norms intensify unless informal networks are driven by strict sociomoral obligations. This supports research indicating that contractual governance competes rather than complements relational governance. Moreover, trust-building processes are crucial in regions with low uncertainty tolerance to mitigate adverse effects.

Suppliers from developed nations need more than cultural communication insights when engaging in business in emerging markets. We acknowledge changes buyers may expect adherence to reciprocity rules embedded in the ISC practices of their informal networks.

This study pioneers a typology of social structures to analyze ISC practices across buyers with varying formal institutional strength and informal network ties. It sheds light on institutional dynamics, trust-building processes, and nuances surrounding both positive and negative aspects of reciprocity practices. Furthermore, it broadens the scope of RM to Asia, Europe, Latin America and the Middle East.

The purpose of this paper is to propose a scenario-based grey methodology using clustering and optimizing with imprecise and uncertain body size data in an emergency assembly point area to assign the people on a campus to reach the emergency assembly points under uncertain disaster times.

Grey clustering and a new grey p-median linear programming model are developed to determine which units to assign to the pre-determined assembly points for a main campus in case of a disaster. The models have two scenarios: 70 and 100% occurrence capacities of administrative and academic personnel and students.

In this study, the academic and administrative units have been assigned to determine five different emergency assembly points on the main campus by using the numbers of the academic and administrative personnel and student and distances of the units to the assembly point areas of each other. The alternative solutions are obtained effectively by evaluating capacity utilization rates in the scenarios.

It is often unclear when disasters can occur and therefore, a preliminary preparation time must be required to minimize the risk. In the case of natural, man-made (unnatural) or technological disasters, the people are required to defend themselves and move away from the disaster area as soon as possible in a proper direction. The proposed assignment model yields a final solution that effectively eliminates uncertainty regarding the selection of emergency assembly points for administrative and academic staff as well as students, in the event of disasters.

Grey clustering suggests an assignment plan and concurrently, an investigation is underway utilizing the grey p-median linear programming model. This investigation aims to optimize various scenarios and body sizes concerning emergency assembly areas. All campus users who are present at the disaster in units of the campus are getting uncertainty about which emergency assembly point to use, and with this study, the vital risks aim to be ultimately reduced with reasonable plans.

The study aims to analyze factors impacting firms’ success and persistence in a digital platform competition using the structure-conduct-performance (SCP) framework. The study also includes real-life cases that are beneficial to academicians and practitioners to understand and develop strategies for success and persistence during uncertainty.

A literature review to identify the factors that impact success and persistence in a digital platform competition was conducted following Webster and Watson (2002). Findings were integrated into a SCP framework to examine and understand the identified factors’ relational impact.

While analyzing factors under the SCP framework, all factors were divided into three categories: those impacting positively, those impacting negatively and those with ambiguous impact on the success and persistence in digital platform competition. Digital platform firms can exploit the positively impacting factors to increase market share by being distinctive from other digital platform firms and becoming dominant by withstanding competition. On the other hand, negatively impacting factors increase barriers to entry, intensify competition and reduce the distinctiveness of digital platform firms. Lastly, a few factors may have either a positive or a negative impact depending upon the particular characteristics of the firm/industry.

The study opens the scope for future research on empirically testing the developed conceptual framework and relationships by developing propositions to posit the possible impact of these factors on digital platforms’ success and persistence.

The study contributed to the existing literature by using SCP framework to analyze the factors affecting firm’s success and persistence in a digital platform competition. Also, the study has discussed the relational impact of factors rather than their impact in isolation.

The purpose of this study is to determine the characteristics of the studies in terms of country, participant profile and methodology, as well as to determine what the Internet of Things (IoT) is currently contributing to higher education.

The study was developed following the methodology supported by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement and the PICOS strategy, retrieving scientific literature from Web of Science, Scopus, ERIC and Google Scholar. Of the 237 studies that the search yielded, 11 were included.

The results showed that among the opportunities offered by IoT is that it not only brings the introduction of information and communication technology into the classroom, but also enhances student interest, thus, improving the quality of teaching in higher education. On the other hand, one of the challenges it faces is the attitude of teachers towards its adoption, as well as the level of digital competence of teachers.

This study presents how higher education institutions are including the IoT in their educational activities. The IoT refers to a network of digital interconnectivity between devices, people and the internet itself that enables the exchange of data between them, allowing key information about the use and performance of devices and objects to be captured to detect patterns, make recommendations, improve efficiency and create better user experiences.

The objective of this study is to examine the relationships among intellectual capital (IC), environmental compliance, corporate innovation and social media usage with respect to their influence on overall business performance.

A theoretical model and related hypotheses are offered, all of which are grounded in both the resource-based view and social network theory. The data were collected through a well-structured questionnaire, and 330 responses from manufacturing firms in Vietnam were deemed appropriate for data analysis using partial least squares structural equation modeling (PLS-SEM).

IC and social media usage have significantly positive effects on corporate innovation and business performance. Moreover, corporate innovation substantially enhances business performance. Furthermore, the results demonstrate that corporate innovation plays a partly mediating role in the research model. Meanwhile, IC fully mediates the relationship between environmental compliance and business performance.

This study offers valuable insights into intellectual capital, innovation, environmental compliance and social media usage for governments, practitioners and academics. Managers can incorporate social media usage strategies into their operational practices, enhancing environmental compliance, fostering innovation and ultimately promoting company success. Furthermore, the findings lead to practical recommendations for manufacturers seeking to adopt the CE model as part of taking a green production approach.

Organizational researchers have an ongoing interest in examining the connections among IC, innovation, environmental compliance and social media usage. Nevertheless, few papers have empirically investigated the interconnections among these constructs and their impact on organizational performance. This study examines these connections and provides concrete evidence for them.

This study aims to investigate which resources and sources of support are related to employee adaptability to work-related change during the COVID-19 pandemic, with implications for human resource management (HRM).

The authors analysed a survey of 1,619 employees working in architectural practice and allied fields in Australia in 2020.

Drawing on conservation of resources (COR) theory, the authors asked whether workers would be more adaptable to change during COVID-19 if they were able to draw on a combination or bundle of supports, known as resource caravans. Hierarchical multiple regression and relative importance analysis showed that confidence in personal support networks during the pandemic was the most important predictor assisting workers to adapt to change, followed by concrete (practical, technical) organizational support for remote work. No evidence was found to corroborate this study's hypotheses that these resources provide support in bundles, challenging the notion of resource caravans in this research context.

The authors argue that COR theory has been too broadly applied to the workplace and that boundary conditions should apply to its emphasis on resource caravans. In practical terms, HRM supports to promote employee adaptability should be carefully targeted in extreme circumstances such as the COVID-19 pandemic.

There is a need to support midcareer faculty who have demonstrated scholarly success but require additional development. The purpose of this study was to explore the effects of an initiative for “star faculty” at midcareer, with an emphasis on the role of exceptional others in their professional growth.

This is an exploratory, single-site case study of a midcareer faculty excellence initiative. Data sources include document/site analysis and individual interviews.

Findings reveal the value of “exceptional others” in professional growth among high-performing midcareer faculty. Perceptions about excellence at midcareer emerged as an antecedent to developing midcareer faculty members. Analysis generated themes in behaviors related to supporting midcareer scholars’ professional growth.

This study is an initial step toward refining concepts such as exceptional others, academic stars and scholarly advancement within the academy. There is a need for equity-minded research about these topics. In addition to replication across institutional and disciplinary contexts, there is also a need for longitudinal mixed-methods studies of midcareer faculty mentoring outcomes over time.

The study points to the role of the institution and its senior faculty in fostering midcareer scholarly excellence. Mentoring and development around individualized goals may be of value in addition to an emphasis on clarity around institutional expectations and norms in faculty performance reviews.

Midcareer faculty are a crucial component of the academy, yet they are often overlooked as needing career support, resources and development. This study focuses on mentoring and coaching for postsecondary faculty at midcareer and the role of exceptional others in facilitating faculty professional growth.

Coronavirus illness is an irresistible infection instigated by a newfound coronavirus. Social distancing was identified as the most effective preventive measure, and it has shifted the teaching to online mode. The present study explored the various perceptions held by students while attending the classes during COVID-19. Primary data have been obtained for the fulfillment of the objective of the study. The data were analyzed with descriptive and inferential statistics. It was exhibited that students specified that online teaching provides real-world skills followed by financial benefits, active learning, recorded lectures, comfortable, ease of access, safe, flexible timings, interactive, and build self-confidence. However, various challenges in online classes were less interaction, technical issues, network issues, lack of self-discipline, social isolation, family distractions, difficult e-learning tools, etc. Logit regression provided that willingness to attend online classes in post COVID-19 was associated with age, gender, IT skills, prior experience, and location. Application of e-learning posed several challenges and possibilities throughout the entire field of education throughout the pandemic. The study suggested the need to address the various challenges faced by the students on immediate basis. It was recommended that training programs can help to prepare the students to take the benefits of digital education platforms.