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This article critically analyses the extent to which selected Public-Private Partnerships (PPPs) transportation projects in the Caribbean subregion embrace good practices and how they benefit the public sector.

The article begins with the general rationale of PPPs, leading to a discussion on the specific challenges of the Caribbean subregion and an assessment of certain critical projects. The sample cases include the L F Wade International Airport in Bermuda, the cruise berthing and cargo port redevelopment project in the Cayman Islands, and the Sanger International Airport in Jamaica. There are five aspects to the critical assessment: (a) an evaluation of the type of PPP arrangement used; (b) the legal/policy framework; (c) financial implications; (d) accountability; and (e) miscellaneous data. Desk-based research is conducted as supported by both international and local sources to convey a uniquely local perspective in this under-researched area of scholarship.

PPP frameworks in the Caribbean are improving quickly but remain a work in progress. Jamaica leads the region. Bermuda trails behind. Problems of legal compliance with frameworks and limited market engagement persist, leading to risk management problems.

This article fills a literature gap on critical analysis of individual Caribbean PPP transportation projects. Previous reports, mostly by international organisations, cover regional or sectorial trends. Other sources take a descriptive but not critical approach.

The Models of Child Health Appraised (MOCHA) project identified the different models of primary care that exist for children, examined the particular attributes that might be different from those directed at adults and considered how these models might be appraised. The project took the multiple and interrelated dimensions of primary care and simplified them into a conceptual framework for appraisal. A general description of the models in existence in all 30 countries of the EU and EEA countries, focusing on lead practitioner, financial and regulatory and service provision classifications, was created. We then used the WHO ‘building blocks’ for high-performing health systems as a starting point for identifying a good system for children. The building blocks encompass safe and good quality services from an educated and empowered workforce, providing good data systems, access to all necessary medical products, prevention and treatments, and a service that is adequately financed and well led. An extensive search of the literature failed to identify a suitable appraisal framework for MOCHA, because none of the frameworks focused on child primary care in its own right. This led the research team to devise an alternative conceptualisation, at the heart of which is the core theme of child centricity and ecology, and the need to focus on delivery to the child through the life course. The MOCHA model also focuses on the primary care team and the societal and environmental context of the primary care system.

It has been a tremendous challenge for organisations to navigate and survive the COVID-19 pandemic. This paper proposes a novel multi-level conceptual model, based on the resource-based view (RBV), to address the pandemic crisis and highlight the importance of strategic human resource management (SHRM) in promoting employee motivation and organisational resilience. The paper aims to provide insights and practical guidance for organisations to leverage their internal resources and capabilities to thrive in the post-pandemic landscape.

This paper conducted a comprehensive literature review of the existing research on the impact of the COVID-19 pandemic, SHRM, RBV, job satisfaction, turnover intentions and organisational resilience, covering the main contributors to this research stream and their findings.

The conceptual model presented in this paper offers five testable propositions to examine the impact of the COVID-19 pandemic on employee motivation and organisational resilience and how organisations can navigate challenging times through SHRM, which enables RBV. It highlights the foundational role of RBV and identifies the resources employed by SHRM as intervening constructs that significantly enhance employee outcomes, including motivation, job satisfaction, turnover intention and organisational resilience.

The proposed model counsels that organisations need to look beyond the straightforward application of SHRM and should enable the RBV climate to protect and uphold employee motivation and organisational resilience. Finally, measurement and analysis implications are presented for future research opportunities and managerial interventions to mitigate the impact of difficult times such as the COVID-19 pandemic.

Currently, there is a lack of research regarding the conceptualisation of the COVID-19 pandemic and its impact on employee and organisational resilience. Therefore, the proposed model discusses the significance of the alignment of SHRM and RBV as a moderator of the relationships between the impact of COVID-19 pandemic, employee motivation and organisational resilience.

Industry 4.0 technologies are promising to increase manufacturing companies' performance through the new knowledge that such digital technologies allow to create and manage within the firm boundaries and through customer interactions. Despite the great attention on the Industry 4.0 adoption paths, little is known about the relationships with previous waves of digital technologies, namely, information and communication technologies (ICTs), and how different groups of both types of technologies link to knowledge and its related performances.

The study employed a quantitative research design using a survey method. Submitting the questionnaire to entrepreneurs, chief operation officers or managers in charge of the operational and technological processes of Italian manufacturing firms, 206 respondents stated that their firm has adopted at least one of the seven Industry 4.0 technologies investigated.

The findings of the study highlight the positive relationship between ICT and Industry 4.0 technologies in terms of both intensity and groups of technologies (Web-based, Management and Manufacturing ICT; Operation, Customization and Data-processing 4.0), and how technologies affect knowledge-related performances in terms of products and processes, job-learning, product-related services and customer involvement.

This study is one of the first attempts to link groups of ICT to groups of Industry 4.0 technologies and to explore the effects in terms of knowledge-related performances as a measure of technology use. The study shows strong path dependency among ICT, Industry 4.0 and knowledge performance, enriching the literature on technological innovation and knowledge management.

The introduction of information technology (IT) in port operations has been a tremendous contributor to transformation in world trade. This study was carried out to examine the influence of IT on the efficiency of seaport operations.

The study is quantitative in nature, and it relied on a closed-ended self-administered questionnaire to collect primary data. Structural equation modeling (SEM) was used to test the theoretical model and hypothesis.

The results indicate that IT has a positive direct effect on port operational efficiency (OE) and an indirect effect on port OE through organizational culture (OC). The mediating role of OC is statistically insignificant.

This is among the first few attempts in Sub-Saharan Africa (SSA) that provides researchers with a contemporary view of IT and seaport operations.

This study presents a systematic literature review (SLR) of the interdisciplinary literature on drones in last-mile delivery (LMD) to extrapolate pertinent insights from and into the logistics management field.

Rooting their analytical categories in the LMD literature, the authors performed a deductive, theory refinement SLR on 307 interdisciplinary journal articles published during 2015–2022 to integrate this emergent phenomenon into the field.

The authors derived the potentials, challenges and solutions of drone deliveries in relation to 12 LMD criteria dispersed across four stakeholder groups: senders, receivers, regulators and societies. Relationships between these criteria were also identified.

This review contributes to logistics management by offering a current, nuanced and multifaceted discussion of drones' potential to improve the LMD process together with the challenges and solutions involved.

The authors provide logistics managers with a holistic roadmap to help them make informed decisions about adopting drones in their delivery systems. Regulators and society members also gain insights into the prospects, requirements and repercussions of drone deliveries.

This is one of the first SLRs on drone applications in LMD from a logistics management perspective.

The purpose of this paper is to understand the factors that enable and inhibit WhatsApp users' discontinuance intention (DI) following the change in WhatsApp's privacy policy.

Using the enabler-inhibitor model as a framework, a research model consisting of discontinuation enabler distrust (DT) and the DT's antecedents [(negative electronic word of mouth (NEWOM), negative offline word of mouth (NOWOM) and privacy invasion (PI)], discontinuation inhibitor inertia (INR) and INR's antecedents (affective commitment, switching cost and use habit) and moderator structural assurance was proposed and tested with data from 624 WhatsApp users using partial least square structure equational modeling (PLS-SEM).

The results show that DT created due to NEWOM and a sense of PI significantly impact DI. However, INR has no significant impact on DI. Structural assurance significantly moderates the relationship between DT and DI.

The paper collected data when many WhatsApp users switched to other platforms due to the change in WhatsApp's terms of service. The timing of data collection allowed for collecting the real impact of the sense of PI compared to other studies where the effect is hypothetically induced. Further, the authors acknowledge social media providers' efforts to address privacy criticism and regain users’ trust, an area that has received little attention in prior literature.

The importance of information systems (IS) professions is increasing. As personality–job fit theory claims, employees must have suitable personality traits for particular IS professions. However, candidates can try to fake-good on personality tests towards the desired personality type. Thus, the purpose of this study is to identify archetypal IS professions, their associated personality types and examine the reliability of the Myers–Briggs Type Indicator (MBTI) personality test in IS recruitment decisions.

The authors reviewed academic literature related to IS professions to identify job archetypes and personality traits for IS professions. Then, the authors conducted an experiment with 452 participants to investigate whether candidates can fake-good on personality tests when being tested for a particular IS profession.

The identified job archetypes were IS project manager, IS marketing specialist, IS consultant, IS security specialist, data scientist and business process analyst. The experimental results show that the participants were not able to fake-good considerably regarding their personality traits for a particular archetype.

The taxonomy of IS professions should be validated further. The experiment was executed in an educational organisation and not in a real-life environment. Actual work performance was not measured.

This study enables a better identification of suitable candidates for a particular IS profession. Personality tests are good indicators of the candidate's true personality type but must be properly interpreted.

This study enhances the existing body of knowledge on IS professions' archetypes, proposes suitable MBTI personality types for each profession and provides experimental support for the appropriateness of using personality tests to identify potentially suitable candidates.