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This study aims to investigate the growing use of financial metrics (such as return on investment [ROI]) to measure performance and evaluate human capital (HC) investments.

The research employed an embedded case study approach, examining how one ROI approach was applied to evaluating HC investments, across three sectors (corporate, public health and international development).

Three major findings emerged in this study: First, interpretations of ROI can lead to ambiguity during implementation. ROI is interpreted trichotomously – metaphorically, as a desire for value; literally, as a metric; and procedurally, as a method for planning and evaluating HC investments. Second, understanding, measuring and tracking the domains of people performance (cognitive, affective and psychomotor) is vital to evaluating the impact of HC investments because this is where the change in behavior occurs. Third, although the logic model measures the change in process following an intervention (input-activity-output-outcome-impact), other approaches measure the change in behavior of people in the intervention (people performance).

These findings provide clarity for practitioners about challenges when applying ROI.

This is the first study to explore how the ROI financial metric is applied in a new domain by first examining its interpretation. It elucidates the use of ROI in practice, as well as the different purposes of key ROI approaches.

Both authors have been involved as lay members in research and other activities for a number of years, ensuring they represent the views of members of the public. This chapter identifies what is, and what is not, patient and public involvement as well as highlighting the importance of involving members of the public in all aspects of the research process. Best practice is explored as identified in the UK Standards for Public Involvement 2019 and the UK Policy Framework for Health and Social Care Research 2020. The implications of the Mental Capacity Act and its wording on research matters are also considered. Case studies have been incorporated to highlight the impact of involving patients and members of the public in all aspects of the research process. These include the lessons learnt by researchers and lay members of the team. The aspiration is to move towards more collaboration between members of the public and researchers; therefore, we discuss co-production of research or community-based participatory research (CBPR). We highlight the need for a better partnership between researchers and members of the public. The benefits of this are explored along with the consequences for all involved.

There is an emerging digital turn in urban management in Africa, undergirded by efforts to address the challenges of rapid urbanisation. To ensure that this digitalisation agenda contributes to smart and sustainable communities, there is a need to trace residents' use of emerging digital technologies and address any impediments to broader utilisation. To this end, this paper aims to examine the determinants of residents' use of Ghana's digital property address system (DPAS) in suburban communities in Accra.

Drawing on a detailed literature review of digital technologies and the factors that affect their use, this paper uses data from a cross-sectional survey of three suburban communities in Accra. A binary logistic regression model was then utilised to identify the significant factors that affect residents' use of the DPAS.

The findings showed that socioeconomic, housing, and psychosocial factors were the main determinants of residents' use of the DPAS. Specifically, house ownership, education and expected benefits had a positive relationship with residents' use of the DPAS. Findings highlight the need for urban policymakers to pay attention to systemic issues in Ghana's digital culture to ensure that digitalisation initiatives do not widen the digital divide and thus impede progress towards smart and sustainable urban development goals.

The growing scholarship on digitalisation in Africa has emphasised conditions, potentials and challenges in deploying digital technologies with little attention to the determinants of residents' use of these technologies. This paper contributes to filling this knowledge gap by bringing foundational issues critical to engendering equitable digitalisation agenda in Ghanaian cities and beyond.

The construction industry is an enabler of economic growth in developing countries, but its performance is governed by the professional behaviour of construction professionals. Unethical behaviour (UB) breaches codes of practice and undermines economic performance hence, ubiquitous academic attention has been given to understanding this phenomenon. This paper aims to contribute to the ensuing discourse by reporting upon the most critical ethical behaviours (EBs and UBs) of professionals in the Ghanaian construction industry (GCI).

The study compounded identified factors into a closed-ended questionnaire in a quantitative research strategy. Data analysis was conducted using the relative importance index and one sample t-test. To measure the reliability of the scale, Cronbach’s alpha was used, which indicated that all measured items were reliable for further analysis.

The study confirmed that professionals within the GCI are aware of the existence of UBs and revealed that the most prevalent ethical conducts exhibited, namely, level of accuracy, accountability, honesty, reliability, fairness and respect for colleagues. Common unethical conducts exhibited included: favouritism, bribery and corruption, professional negligence, falsification, fraud and overbilling.

The study reported on the dominant ethical conduct among built environment professionals. The claims put forward in the analysis are, thus, affected by Ghana’s social, economic and political environments, which could restrict the generalization of the findings.

Incipient findings presented from this research will guide stakeholders to develop and device strategies that will aid alleviate persistent ethical issues within the built environment.

The study highlights individuals’ perspectives on ethical issues persistent in the built environment. The findings suggest individuals adhere to ethical practices in a project environment by the evidence presented.

This pioneering study is a novel assessment on EBs and UBs of built environment professionals in the GCI. The study supplementary adds value to the literature on ethical and unethical practices. By identifying these practices, construction firms have a competitive edge in combating UB and promoting EB among built environment professionals in the GCI.

In the age of Industry 4.0 (I4.0), digital technologies (DTs) and the technologies' application in supply chain activities have become more important. On the other hand, global pressures for corporate social responsibility in the sustainable production of products are increasing. Accordingly, the purpose of this research is to develop and validate an instrument to measure the impact of digital supply chain (DSC) activities on the sustainable performance of manufacturing companies.

In the first step, through an in-depth study of the relevant literature, a conceptual model was developed and a questionnaire containing 51 indicators was designed. The questionnaire was distributed among 356 top managers and experts of the Iranian manufacturing companies, whereby finally 233 sound questionnaires were returned, yielding a response rate of about 64%. Exploratory factor analysis (EFA) was used to identify constructs and sub-constructs and the relationship between them was investigated using the partial least squares structural equation model (PLS-SEM) method.

Based on the obtained results, three constructs were identified, namely main activities (including sub-constructs: digital supplier, digital manufacturing, digital logistics and innovation and digital customer), support activities (with sub-constructs digital performance, DT and digital human resources) and sustainable performance (with sub-constructs of economic sustainability, environmental sustainability and social sustainability). The designed tool has excellent psychometric properties. The values of t-statistic = 11.07 and β = 0.602 indicate the positive impact of the DSC main activities on sustainable performance. Similarly, t = 2.42 and β = 0.149 prove that DSC support activities have a positive impact on sustainable performance. Also, based on the obtained values (t = 13.16 and β = 0.629), support activities have a significant impact on the main activities of the DSC. Finally, based on the calculated goodness-of-fit (GoF) index value (0.522), this paper concluded that the proposed model has high credibility.

Validation of the model is based on the answers received from the Iranian manufacturing companies. Therefore, caution should be taken regarding the generalizability of the results.

The proposed model presents a holistic view of the application of DTs in the supply chain and the DTs' impact on sustainable performance which might help manufacturing companies, particularly the Iranian companies to obtain a broader knowledge of the importance of DTs and DTs' usage toward responding to the challenges of today's complex business environment.

This study is among the first of the study's kind that attempts to develop and validate an instrument to measure the impact of DSC activities on the sustainable performance of manufacturing companies.

This study examines the impact of agricultural credit on rice farmers' technical efficiency (TE) in Côte d'Ivoire by considering the heterogeneity among credit sources.

A multistage sampling technique was used to collect data from 588 randomly sampled rice farmers in seven rice areas of the country. The authors use the endogenous stochastic frontier production (ESFP) model to account for the endogeneity of access to agricultural credit.

On the one hand, agricultural credit has a significant and positive impact on rice farmers' TE. Rice farmers receiving agricultural credit have an average of 5% increase in their TE, confirming the positive impact of agricultural credit on TE. On the other hand, the study provides evidence that the impact of credit on rice production efficiency differs depending on the source of credit. Borrowing from agricultural cooperatives and paddy rice buyers/processors positively and significantly influences the TE, while borrowing from microfinance institutions (MFIs) negatively and significantly influences the TE. Moreover, borrowing from relatives/friends does not significantly influence TE.

Future research can further explore the contribution of agricultural credit by including several agricultural productions and using panel data.

The study provides evidence that the impact of agricultural credit on agricultural production efficiency depends on the source of credit. This study contributes to the literature on the impact of agricultural credit and enlightens policymakers in the design of agricultural credit models in developing countries, particularly Côte d'Ivoire.