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Large-scale and complex issues tend to require a system of interconnected teams (i.e., multiteam systems) that offer more manpower, resources, and flexibility to meet more challenging demands. However, multiteam systems often work within “extreme environments” that can be very stressful, and the impact of this stress can deplete team members’ Well-Being and hinder team performance. Current research on multiteam systems does not address the need to understand how environmental stressors may impact component teams and overall team functioning and how multiteam systems in these environments can regulate stress to overcome these problems. NASA’s spaceflight multiteam system provides a unique example that organizational researchers can look at to understand how the Mission Control team helps regulate stress in the spaceflight team operating within an isolated, confined, and extreme environment. This chapter articulates how NASA’s spaceflight multiteam system stress regulation practices can inform organizational psychologists and advance our understanding of multiteam system functioning.

In this chapter, the authors focus on the design and construction of the last MASK model, the lineage model. We learn what lineage is and how it applies to knowledge. The lineage model is differentiated from the history model. The authors explain that the history model pertains to the evolution of the environment in which knowledge develops, whereas lineage pertains to the evolution of the knowledge itself. Lineage examples are found in everyday examples such as ancestries, provenance, versions, and citation networks. A step-by-step methodology for building a lineage model is described.

Transformative generative artificial intelligence (AI) tools, such as ChatGPT, have revolutionized various sectors, including higher education. Since its release in November 2022, it has gathered attention from academia, scholars, students, regulators and education policymakers. Opinions diverge on whether ChatGPT’s use in academia should be circumscribed or regulated. To offer insights into some of these, this study synthesizes 139 contributions (articles and blogs) authored by instructors, publishers, professors, editors and education journalists in the education domain.

The study uses sentiment analysis and topic modelling to examine the 139 articles and blogs. Drawing on their insights, it firstly explores emotional dimensions of the content. Subsequently, using critical discourse analysis, it integrates them with emerging concerns (what and why), and explicates key processes (how) to inform academia, research, practice and policy.

Drawing on the results obtained from sentiment analysis, the study identifies that the overall sentiments surrounding generative AI tools such as ChatGPT in higher education are more positive (33%) than negative (11%). Using topic modelling, the study further highlights four thematic areas to explore benefits and challenges: perceptions and biases, pedagogical impact, ethical considerations and implementation and adoption.

Limitations include the absence of student perspectives, which may offer deeper insights into perception, pedagogical impacts, and integrity-related issues. Additionally, while findings are applicable across various domains, specialized areas may present differing insights that could refine the conclusions.

Overall, contributors acknowledge the capabilities of generative AI tools like ChatGPT in enhancing students’ productivity. The findings suggest that it is likely to offer significant gains in the education domain, providing several benefits to both teachers and students. Nevertheless, they also consider its limitations, discrimination and bias, copyright infringement, plagiarism, fabricated unauthentic textual content and assessment bias.

The present study aimed to examine the effect of received remittance inflows on the price level ratio of the purchasing power parity conversion factor to the market exchange rate in 36 developed and developing countries from 2004 to 2020.

The panel data conducted a comparative analysis and used panel least squares, regression with Driscoll-Kraay standard errors of fixed effect, random effect, feasible generalised least squares and maximum likelihood robust least squares to overcome the heterogeneity issue. Furthermore, the two-step difference generalised method of moments to overcome the endogeneity issue. Diagnostic tests were used to increase robustness.

In the studied countries, there was a statistically significant negative relationship between received remittance inflows and the price-level ratio of the purchasing power parity conversion factor to the market exchange rate. This relationship explains why remittance flows depreciate the real exchange rate. The study’s results also indicated that attracting investments can improve the quality of institutions despite high tax rates, leading to low tax revenue.

The current study findings enrich the understanding of policies of how governments should minimise tariff rates on capital imports and introduce export-oriented incentive programmes. The study also revealed that Dutch disease can occur due to differences in the demand structure and manufacturing development policy.

This study aims to develop a resilient contractor selection model that also considers community concerns in post-disaster reconstruction projects using a “build-back better (BBB)” approach.

At the outset, a comprehensive literature review was conducted to develop the model. During this literature review, a set of contractor selection criteria were identified. Focus group discussion (FGD) sessions were then organized to revise and refine the identified criteria. As a result, a final list of 39 selection criteria was developed. Next, the Bayesian best worst method (BBWM) was conducted to determine the weights of each selection criterion. Finally, the proposed model was validated by conducting a hypothetical case study and fuzzy VlseKriterijuska Optimizacija I Komoromisno Resenje (fuzzy VIKOR) analysis. Moreover, a sensitivity analysis was conducted to examine the effect of the maximum group utility (v) value in the model.

The results emphasized that contractors in post-disaster reconstruction projects cannot be selected merely based on “technical” and “economic” factors. Instead, the other aspects, namely “organizational and managerial,” “environmental sustainability,” “resource management and procurement” and “end-user,” should also be taken into consideration. Second, factors related to financial strength, experience, risk management, energy efficiency, resource availability and assurance were particularly deemed the most significant, needing the detailed attention of the decision-makers. Lastly, the case study revealed that the proposed model has a significant potential to systemize contractor selection processes in post-disaster reconstruction projects.

Disasters, which are increasing in frequency and severity today, devastate the community’s environmental, economic and social conditions. Post-disaster reconstruction projects commence rapidly after a disaster for recovery. However, poor management procedures in these projects trigger time and cost overruns. Unlike traditional construction projects, post-disaster reconstruction projects are distinctive due to the uncertainties caused by the disasters and the prioritization of community concerns. Therefore, contractors should be selected in a way that can meet the specific needs of reconstruction projects. Otherwise, resilience in the built environment and community satisfaction can hardly be enhanced. Accordingly, this study is one of the first attempts to develop a contractor selection model for post-disaster reconstruction projects. It is believed that the developed model will make essential theoretical and practical contributions to the post-disaster reconstruction domain.

The purpose of this paper is to examine how a clinical interview protocol with failure artifact scenarios can capture changes in high school students’ explanations of troubleshooting processes in physical computing activities. The authors focus on physical computing, as finding and fixing hardware and software bugs is a highly contextual practice that involves multiple interconnected domains and skills.

This paper developed and piloted a “failure artifact scenarios” clinical interview protocol. Youth were presented with buggy physical computing projects over video calls and asked for suggestions on how to fix them without having access to the actual project or its code. Authors applied this clinical interview protocol before and after an eight-week-long physical computing (more specifically, electronic textiles) unit. They analyzed matching pre- and post-interviews from 18 students at four different schools.

The findings demonstrate how the protocol can capture change in students’ thinking about troubleshooting by eliciting students’ explanations of specificity of domain knowledge of problems, multimodality of physical computing, iterative testing of failure artifact scenarios and concreteness of troubleshooting and problem-solving processes.

Beyond tests and surveys used to assess debugging, which traditionally focus on correctness or student beliefs, the “failure artifact scenarios” clinical interview protocol reveals student troubleshooting-related thinking processes when encountering buggy projects. As an assessment tool, it may be useful to evaluate the change and development of students’ abilities over time.

The importance of cybernetic controls (CC) in the context of accounting information systems (AIS) in increasing data accuracy (DA) and improving decision-making (DM) has attracted much attention. In this study, the paper analyses the moderating role of CC on the relationship between DA and DM in AIS, which is supposed to be a case of construction projects in Iraq.

Data were collected using a questionnaire-structured interview targeted at construction site managers and project managers, employing probability sampling on the 253 valid responses, which was analysed using the partial least squares structural equation modelling (PLS-SEM) method.

CC significantly reduced the role of the moderating aspect of the DA and positively influenced DM in AIS. These results provided a base for the research postulates, including integrating CC in AIS to offer an overdue solution to challenges in construction project DM.

Empirical outcomes of the study demonstrated that the implementation of CC in AIS can be applied successfully to the accounting of exact data and precision decisions in construction projects. Such lessons are strategically important to practitioners needing optimal AIS performance with a view to industry satisfaction.

The work has a breakthrough quality in the study at hand by stressing that CC moderate the link of DA to the DM approach in AIS. This area lacks exposition when construction projects in Iraq are the case. The findings of the research are aligned with the criteria of good governance in the context of the use of electronic systems to make decisions in AIS.

The purpose of this study is to investigate the connections between the regulatory governance, human capital, stakeholder orientation, management control systems (MCSs) and sustainable performance (SP) of power companies. The authors especially looked at how much regulatory governance, human capital, stakeholder orientation and MCSs affect the SP across power companies in Uganda.

This is a cross-sectional and correlational study. Data were collected from 105 power companies using a questionnaire and analysed using SPSS.

Stakeholder orientation, MCSs, human capital and regulatory governance significantly predict variances in the SP of power providers in Uganda. Stakeholder orientation is the most important predictor of SP of power companies.

The absence of validation from important stakeholders and the major reliance on company-provided data in existing research on SP raises the possibility of self-desirability bias. To evaluate and verify the information supplied by firms with external stakeholders, further studies might consider using an explanatory mixed methods technique, in which quantitative data are initially gathered from the managers of power companies and analysed and then validated by interviews with important stakeholders.

Using stakeholder, legitimacy and resource-based theories has provided a better explanation for SP which is a multi-dimensional notion. Moreover, the study adds to the body of perception-based research that offers direct management incentives for SP. The perspectives of managers have been gathered through the use of self-administered questionnaires to gather impressions of managers of businesses, which has helped to tap into all aspects of SP. The study’s results offer, probably for the first time to the best of the authors’ knowledge, evidence of the contextual elements that affect SP in African nations like Uganda particularly in the power sector.

People experiencing homelessness often have multiple health and other support needs, requiring complex, coordinated support. Admission to hospital is potentially an opportunity to address these needs and begin integrating care, but so often it is a missed one. Our purpose in this research was to evaluate an ongoing, roll-out programme that offered government funding to 17 “test sites” across England to develop integrated care as part of post-discharge “step-down” support. In this paper, we examine senior stakeholder experiences of seeking to implement integrated care as part of specialist step-down care.

In this paper, we focus on data collected in interviews with key stakeholders (N = 10) who managed the mobilisation of local out of hospital care models for people experiencing homelessness. Interviews were conducted and analysed from a relational perspective, that is focusing on relationships between interactants, through which, for example, identities, understanding and integrating practice emerge.

A relational perspective on the data provides insights to better understand the complexity of integrating care at the point of hospital discharge for people experiencing homelessness.

Although in depth, the data were limited to certain perspectives on the issues. Other perspectives and data collection from in-depth study of case sites would be invaluable in developing the empirical evidence base for a relational understanding of integrating care.

A relational perspective highlights the emergent and ongoing nature of integrating care in this context of support for people experiencing homelessness. The need for different system agents to work to be constantly enacting the desired support is crucial to understanding future system changes for integrating care.

This is the first paper developing a relational analysis of integrating care. It highlights a different theoretical perspective on the issues and important insights.

Recently, manipulative techniques, such as dark patterns, are widely applied. However, there is a need for clarification regarding these techniques and related phenomena. In particular, there is still no clarity about the terminology and conceptual basis of consumer manipulation. This paper aims to address this shortcoming by introducing a definition and classification of consumer manipulation.

This paper takes a conceptual approach, drawing on existing literature and established theories to comprehend the phenomenon of consumer manipulation.

The paper proposes that consumer manipulation comprises three dimensions: limited transparency, perceived restriction of autonomy and the feeling of being tricked. This paper presents a classification of different types of consumer manipulation and demonstrates how these types can lead to varying outcomes based on the source of manipulation, changeability, reasons for perception and perception timing. Based on this classification, research propositions informed by established theories and concepts are presented.

To the best of the author’s knowledge, this work represents a first attempt to address the concept of consumer manipulation through a clear definition and classification. It is relevant for academics, policymakers and practitioners since it facilitates informed discussions and analyses of this concept. It benefits companies by raising awareness of potentially overlooked consequences of manipulative tactics, while also benefiting consumers by reducing their exposure to manipulation.