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The purpose of this paper is to articulate how the user experience (UX) approach was initiated and integrated into the centre’s scope of operations with the objective of improving the e-learning layout on the D2L learning management system (LMS). One of the most effective ways to collect user feedback has historically been to evaluate user interfaces using strategies from user testing. The integration of a UX approach by the Centre for ODL Experiences (COLE) at Wawasan Open University has led to a more user-oriented design of FlexLearn by conducting user testing on students as the target users of the platform and gathering course leaders’ (CLs) feedback after the presentation of the new template.

Since the process of design and development is a looping process, the first user testing methods employed were observation and interviews, which were conducted over the course of numerous sessions. The data collection used a mixed-methods approach, combining quantitative demographic and background data with qualitative feedback from open-ended questions and real-time interview responses. A standardized questionnaire gathered demographic information, while questions for feedback forms and interviews were adjusted based on specific tasks to explore usability and user interactions comprehensively.

The findings revealed overall positive feedback, with some concerns highlighted by the students who claimed to have trouble navigating the courses during the initial prototype. In addition to the qualitative data from the user testing session, a quantitative method based on an online questionnaire was also utilised for the CLs after the presentation of the final layout. Positive responses were received from the CLs, and constructive suggestions were considered for FlexLearn 3.0.

This paper is among the first that articulates the process of initiating and integrating user-centred design in an effort to improve the user experience of online and ODL platforms and LMSs. It will contribute to a dialogue on investigating and prioritising learners’ ODL experiences to ensure education equity across all levels or categories of students, which aligns with the United Nations Sustainable Development Goals.

The integration of UX and user testing allows us to better identify what users like, their concerns and their needs. We gain important input on how easy or difficult it is to use the system, move around it and how much they enjoy using it. This feedback helps us make changes to the design so that the final product is more in line with what users want. It also allows us to discover problems before they become major, saving time and effort later on. Finally, integrating user input improves the LMS, delivering a more fun and successful learning experience for everyone.

User-friendly systems arise as institutions prioritise user-centred design, breaking down barriers for various learners. This develops an innovative culture, improving present learning experiences and setting a precedent for future generations. The emphasis on user demands helps to create a more accessible, adaptive and egalitarian educational landscape by connecting education with current technological trends. As education becomes more inclusive, the broader community benefits, emphasising the beneficial social impact of LMS user testing.

By articulating the process of integrating user testing on an LMS/e-learning prototype, helps us understand what users like, where they face problems and what needs improvement. By involving users in testing, we get valuable feedback on how easy it is to use the system, navigate around and overall, how much they enjoy using it. Case studies like this also offer universities concrete examples of real-world challenges and successes.

Firms have already begun integrating artificial intelligence (AI) as a replacement for conventional performance management systems owing to its technological superiority. This transition has sparked a growing interest in determining how employees perceive and respond to performance feedback provided by AI as opposed to human supervisors.

A 2 x 2 between-subject experimental design was employed that was manipulated into four experimental conditions: AI algorithms, AI data, highly experienced human supervisors and low-experience human supervisor conditions. A one-way ANOVA and Welch t-test were used to analyze data.

Our findings revealed that with a predefined fixed formula employed for performance feedback, employees exhibited higher levels of trust in AI algorithms, had greater performance expectations and showed stronger intentions to seek performance feedback from AI algorithms than highly experienced human supervisors. Conversely, when performance feedback was provided by human supervisors, even those with less experience, in a discretionary manner, employees' perceptions were higher compared to similar feedback provided by AI data. Moreover, additional analysis findings indicated that combined AI-human performance feedback led to higher levels of employees' perceptions compared to performance feedback solely by AI or humans.

The findings of our study advocate the incorporation of AI in performance management systems and the implementation of AI-human combined feedback approaches as a potential strategy to alleviate the negative perception of employees, thereby increasing firms' return on AI investment.

Our study represents one of the initial endeavors exploring the integration of AI in performance management systems and AI-human collaboration in providing performance feedback to employees.

Research has supported both feedback’s variable effects on performance and the effect of attributions on subsequent behavior. Managers’ attributions for subordinates’ performance affect how they react to those subordinates and the feedback they give, and subordinates’ own attributions affect their subsequent behavior. It is unclear whether (or how) a manager’s attributions for subordinate behavior affect subordinate behavior. Building on research that shows emotional reactions in response to attributions in feedback, this study aims to examine how recipients’ perceptions and subsequent effort and performance are affected when others’ attributions are shared through feedback.

Drawing on attribution theory and feedback intervention theory, this study conducts a lab experiment using manipulated performance feedback to test the effects of feedback sign and attributions in the feedback. Perceptions of the attribution are also measured to test their effects. The data were analyzed using analysis of variance and regression in SPSS 27.

Results show that perceptions of the attribution communicated in feedback, rather than feedback sign alone, affect perceived valence of the feedback (e.g. feedback with an attribution to luck is generally perceived as negative). These perceptions also affect feedback acceptance and impact subsequent effort and performance more than the “objective” attribution, underscoring the importance of recipient reactions and perceptions in the feedback process.

This paper shows that recipients’ perceptions of others’ attributions included in feedback impact feedback reactions, effort and performance. This is valuable to scholars researching feedback and to practitioners to better understand how feedback they deliver may be interpreted.

The current paper aims to analyse the antecedents of leader–member exchange relationships (LMX) by specifically focusing on the influence of the supervisor’s feedback delivery tactic.

This study uses qualitative research methods with primary interviews as the main data source. Primary interviews with 40 managers from top supermarkets in Nigeria, South Africa and the UK were undertaken.

The authors found that both high-quality positive feedback and constructive criticisms produced the same feelings – more positive interpersonal relationships with their supervisors, higher levels of commitment to their organisations, higher job satisfaction and thus, high-quality LMX relationships. Where criticisms were delivered without greater interpersonal treatment, feedback was perceived as negative, and participants revealed lack of job satisfaction, lack of commitment to their organisations, poor interpersonal relationship with their supervisors, high turnover intent and thus low-quality LMX relationship.

To the best of the authors’ knowledge, the current paper is one of the first studies to highlight the consequences of different feedback delivery tactics on subsequent LMX quality particularly in African context. The authors specifically develop a process-based model of enhancing high-quality LMX, which shows the role of the supervisor’s feedback delivery tactic in the process. The authors also develop a process-based model that illustrates how negative/unconstructive feedback could result in a low-quality LMX. Finally, to the best of the authors’ knowledge, this paper is also one of the first to offer a comparative assessment between African and British (the UK) empirical settings and highlight some interesting dynamics concerning LMX quality and role of supervisor’s feedback delivery tactic.

The purpose of this paper is to identify how different factors of antecedents and processes affect the outcomes of an internship, measured in terms of competency development.

The authors used an internship questionnaire designed for the University of Tartu in Estonia. Responses were obtained from 178 students across different disciplines – humanities and the arts, social sciences, natural sciences and medicine – who had recently taken an internship. Based on current academic literature, the authors create a three-level model: antecedents-processes-outcomes. The antecedents and processes were both differentiated into three factors and tested with a structural equation model.

The model demonstrates that there are different antecedents that have an effect on internship outcomes, but these only work through internship processes. For example, the objective of the internship and clarity of instructions will only have a positive effect if there is relevant support from the supervisor at the employing company and if the student can use the knowledge and skills gained at university.

The study is based on survey data filled in by students, i.e. based on self-perception. Based on the results of the study, the authors claim that an active role and initiative-taking by students in finding suitable internships should be further encouraged.

Whilst previous studies have used a two-level model of internship (or a three-level model for students satisfaction as an outcome) the authors create and test a three-level model measuring competency development as the outcome of an internship.

The purpose of this paper is to describe an online faculty development pilot course on how to engage students online. A framework was used, referred to as the Trifecta of Student Engagement, for the design of the course. The Trifecta of Student Engagement proposes that students, in order to be fully engaged in a course, need to be engaged with their course content, with their peers and with their instructor. The course has three units of content that each correspond to the Trifecta of Student Engagement. This course has gone through one pilot with faculty and has impacted students and faculty positively.

An online faculty development course was piloted with eight faculty members across a range of disciplines who participated in the program. After taking the course, they had to apply the Trifecta of Student Engagement framework to a course they taught and share what they did via written report, webinar, or web presentation. This study summarized the faculty participants’ written reports and presentations as well as provided a qualitative evaluation on the impact this course had on students and faculty.

After faculty applied the Trifecta of Student Engagement framework to courses taught, faculty saw an improvement in student engagement, satisfaction, learning and achievement. Three faculty surveyed students to determine their engagement and satisfaction and found students to respond positively to the use of tools and activities for student-to-content engagement, student-to-student engagement and student-to-instructor engagement. Two faculty examined student grades to determine if there were changes in student outcomes. One professor saw average grades increase by 11 percent. Another professor saw grades improve by 8 percent. She also found that student assessment of learning increased by 0.57. Both faculty attributed the improvement to the effectiveness of the teaching strategies employed.

This research is limited to the eight faculty who participated in the pilot. Some faculty used methods to attempt to measure the impacts of their teaching practices by surveying students and looking at student performance data. A second pilot is needed for additional faculty to take the course and apply the Trifecta of Engagement framework to generate more data for impact.

Institutions looking to create an online teaching professional development course for faculty can utilize the Trifecta of Student Engagement framework for their course design. Additionally, faculty can read about tools and strategies that they can immediately apply to create more student-to-content engagement, student-to-student engagement and student-to-instructor engagement.

Faculty can be more intentional in how they engage students in their online course experience.

This paper adds to the literature on faculty development regarding student-centered teaching practices. Other institutions looking to create a faculty development course or program that utilizes a student-centered framework may find aspects of this paper useful for their own online teaching professional development initiatives.

This paper introduces a new mathematical model for analyzing the economic benefits of incorporating the fourth party logistics (4PL), which is a contractor (i.e. agent) for the supply chain coordination and construction based on the division of community and the outsourcing development. Based on the physical theory and the wave-particle duality, a supply chain is the special organization whose characteristic has wave-particle duality. The mathematical model enriches the connotation of 4PL and it broadens the thought for 4PL development. Secondly, the proposed mathematical model predicated on transaction costs, is supported by Transaction Cost Theory (TCT) and acts as the theoretical analysis tool of 4PL for coordinating 3-party generic supply chain. Through the model, some trendy conclusions can be drawn to provide theoretical support for 4PL’s practices. Finally, a case illustrates our conclusions.

This paper aims to explore the reporting challenges and related organisational mechanisms of change associated with disclosing corporate risks within integrated reports.

This paper adopts a Latourian performative approach to explore the organisational mechanisms of change in terms of networks of actors, both “human” and “non-human”, involved in the preparation of risk-related disclosure. Empirical evidence is collected by means of in-depth interviews with the preparers of an integrated reporting pioneer company.

Preparing disclosure on corporate risks in the context of integrated reporting demands close interaction among several actors. When disclosure shifts from listing key risks to providing information on how these risks are managed or connect with corporate strategy and value creation, departments not usually involved in corporate reporting play an active role and external stakeholders offer pertinent insights, benchmarks and feedback. Integrated reporting and risk management frameworks are the “non-human” actors that facilitate the engagement of diverse “human” actors.

Preparers should be aware that risk disclosure within integrated reports requires collaboration among (“human”) actors belonging to different departments and the engagement of external stakeholders. Preparers should consider the frameworks of integrated reporting and risk management as facilitators of cross-departmental discussions and dialogue, rather than mere contributors of guidelines and recommendations.

This study enriches the scant literature on organisational mechanisms of change made in response to integrated reporting challenges, showing subsequent advancements in the organisational process underlying the preparation of risk disclosure.

Competitive tendering in South Africa is often associated with procurement based on the lowest fee tendered. Previous research on this topic did not provide in-depth examinations of how pricing within consulting engineering companies was affected by competitive tendering nor did it illuminate the extent to which professional services were impacted by competitive tendering. This paper aims to examine the implications of competitive tendering on pricing and delivery of consulting engineering services in South Africa.

A survey research strategy with a questionnaire as the research instrument elicited qualitative data from 28 experienced consulting engineers in South Africa. Thematic analysis was used to analyse qualitative data from the questionnaires.

Three key themes were identified, namely: considerations when determining consulting engineering fees on competitively tendered projects; the impact of reduced fees due to competitive tendering on the delivery of consulting engineering services; and interventions to prevent unsustainably “low” professional fees. Many consulting engineers in South Africa still determine fees using fee scales, while other considerations include resources, project complexity, risk, etc. Most participants asserted that design optimisation/value engineering, training, meetings and construction monitoring were adversely impacted by “low” fees.

This paper provides in-depth qualitative feedback from experienced consulting engineers (most having more than 20 years’ experience) on a topical issue in the South African construction industry. Thematic analysis was a novel method of analysis that was not used previously in this area of study.