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The purpose of this paper is to provide a summary description of the doctoral thesis investigating the field of project management (PM) deployment. Researchers will be informed of the current contributions within this topic and of the possible further investigations and researches. The decision makers and practitioners will be aware of a set of tools addressing the PM deployment with new perspectives.

Research undertaken with the thesis is based on quantitative methods using time series statistics (time distance analysis) and comparative and correlation analysis aimed to better define and understand the PM deployment within and between countries or groups.

The results suggest a project management deployment index (PMDI) to objectively measure the PM deployment based on the concept of certification. A proposed framework to empirically benchmark the PM deployment between countries by integrating the PMDI time series with the two dimensional comparative analysis of Sicherl. The correlation analysis within Hoftsede cultural framework shows the impact of the national culture dimensions on the PM deployment. The forecasting model shows a general continual growth trend of the PM deployment, with continual increase in the time distance between the countries.

The PM researchers are offered an empirical quantification on which they can construct further investigations and understanding of this phenomenon. The number of possible units that can be studied offers wide possibilities to replicate the thesis work. New researches can be undertaken to investigate further the contribution of other social or economical indicators, or to refine and enrich the definition of the PMDI indicator.

These results have important implications on the PM deployment approaches. The PMDI measurements and time series comparisons facilitate considerably the measurement and benchmarking between the units (e.g. countries) and against targets, while the readiness setting of the studied unit (in terms of development and cultural levels) impacts the PM deployment within this country.

This paper provides a summary of cutting‐edge research work in the studied field of PM deployment and a link to the published works that researchers can use to help them understand the thesis research as well as how it can be extended.

The purpose of this paper is to establish the dynamics model of spacecraft during deployment of oblique solar panel using Auto Dynamic Analysis of Mechanical System (ADAMS) and to study the attitude motion of the spacecraft system during the oblique solar panel deployment.

For the case of an oblique solar panel on spacecraft, the dynamics virtual prototype model of deployment of oblique solar panels on spacecraft is established and the dynamics simulation is carried out using ADAMS. The effects of solar panel deployment on the attitude motion of spacecraft with different oblique angles are studied and the attitude motion regularities of spacecraft system are discussed. First, the effects on attitude motion of spacecraft are compared between the normal solar panel deployment and oblique solar panel deployment on a spacecraft. Then the attitude motion of spacecraft during the deployment of solar panel with different oblique angles on spacecraft is studied.

The effects of oblique angle of solar panel deployment on the attitude motion of spacecraft are significant in yaw axis. The bigger the oblique angle, the bigger the changes of yaw angle of spacecraft. However, the bigger the oblique angle, the smaller the changes of roll angle of spacecraft. The effects of oblique angle on pitch angle of spacecraft are slight.

Providing a practical method to study the attitude motion of spacecraft system during deployment of solar panel and improving the engineering application of spacecraft system, which put forward up spacecraft system to the practical engineering.

The paper is a useful reference for engineering design of a spacecraft attitude control system and ground text.

This study aims to explore the intrapersonal underpinnings of conflict transformation and expression during military deployment exercises.

The authors collected data just before the onset and right after the ending of a military deployment training attended by several military units that were engaged in various operational exercises. The authors evaluated positive psychological capital (PsyCap) as well as expectations of task and relationship conflict before the deployment (N = 116 participants) and the experience of task and relationship conflict as well as deployment self-efficacy evaluated just after the deployment (N = 84).

PsyCap buffers conflict transformation and expression during military deployment. Relationship conflict reduces deployment self-efficacy evaluated after the deployment.

The findings have implications for the development of personal strengths such as PsyCap and deployment self-efficacy, as well as for conflict management in military settings.

This study contributes to the literature on micro foundations of conflict emergence and explores the intrapersonal factors that impact conflict expression and transformation during military exercises.

Digital technologies (DTs) are one of the most important and beneficial ways to enhance the effectiveness of supply chain finance activities. Based on resource orchestration theory, the purpose of this study is to apply the “resources-capability-performance” framework to investigate how DT deployment (in terms of both breadth and depth) impacts supply chain financing performance (SCFP).

Hierarchical regression analysis was applied in the theoretical modeling examination. Through the sample of 380 survey questionnaires from the Chinese manufacturing industry, this study empirically validated the proposed model.

Results of this study present that both the breadth and depth of DT deployment positively impact SCFP, whereas supply chain transparency (SCT) acts as a mediator between them. Moreover, financing alignment positively moderates the relationship between the breadth of DT deployment and SCT.

From an integrated perspective, this study highlights the dual deployment ways of DTs to improve SCFP. Moreover, this research further enriches and extends the application of resource orchestration theory by providing theoretical mechanisms for the mediating role of SCT and elucidating the moderating role of financing alignment.

This study aims to deepen the understanding of the challenges and implications entailed by deploying mobile clinics in conflict zones to reach populations affected by violence and cut off from health-care services.

This research combines an integrated literature review and an instrumental case study. The literature review comprises two targeted reviews to provide insights: one on conflict zones and one on mobile clinics. The case study describes the process and challenges faced throughout a mobile clinic deployment during and after the Iraq War. The data was gathered using mixed methods over a two-year period (2017–2018).

Armed conflicts directly impact the populations’ health and access to health care. Mobile clinic deployments are often used and recommended to provide health-care access to vulnerable populations cut off from health-care services. However, there is a dearth of peer-reviewed literature documenting decision support tools for mobile clinic deployments.

This study highlights the gaps in the literature and provides direction for future research to support the development of valuable insights and decision support tools for practitioners.

This research study aims to inquire into the technostress phenomenon at an organizational level from machine learning (ML) and artificial intelligence (AI) deployment. The authors investigated the role of ML and AI automation-augmentation paradox and the socio-technical systems as coping mechanisms for technostress management amongst managers.

The authors applied an exploratory qualitative method and conducted in-depth interviews based on a semi-structured interview questionnaire. Data were collected from 26 subject matter experts. The data transcripts were analyzed using thematic content analysis.

The study results indicated that role ambiguity, job insecurity and the technology environment contributed to technostress because of ML and AI technologies deployment. Complexity, uncertainty, reliability and usefulness were primary technology environment-related stress. The novel integration of ML and AI automation-augmentation interdependence, along with socio-technical systems, could be effectively used for technostress management at the organizational level.

This research study contributed to theoretical discourse regarding the technostress in organizations because of increased ML and AI technologies deployment. This study identified the main techno stressors and contributed critical and novel insights regarding the theorization of coping mechanisms for technostress management in organizations from ML and AI deployment.

The phenomenon of technostress because of ML and AI technologies could have restricting effects on organizational performance. Executives could follow the simultaneous deployment of ML and AI technologies-based automation-augmentation strategy along with socio-technical measures to cope with technostress. Managers could support the technical up-skilling of employees, the realization of ML and AI value, the implementation of technology-driven change management and strategic planning of ML and AI technologies deployment.

This research study was among the first few studies providing critical insights regarding the technostress at the organizational level because of ML and AI deployment. This research study integrated the novel theoretical paradigm of ML and AI automation-augmentation paradox and the socio-technical systems as coping mechanisms for technostress management.

Crisis services personnel are frequently deployed around the globe under highly demanding conditions. This raises the need to better understand the deployment process and more especially, sustainable reintegration after deployment. Despite recent research efforts, the study of the post-deployment stage, more specifically the reintegration process, remains fragmented and limited. To address these limitations, this review aims at (1) describing how reintegration is conceptualised and measured in the existing literature, (2) identifying what dimensions are associated with the reintegration process and (3) identifying what we know about the process of reintegration in terms of timing and phases.

Following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) protocol, the authors identified 5,859 documents across several scientific databases published between 1995 and 2021. Based on predefined eligibility criteria, 104 documents were yielded.

Research has primarily focused on descriptive studies of negative individual and interpersonal outcomes after deployment. However, this review indicates that reintegration is dynamic, multi-sector, multidimensional and dual. Each of its phases and dimensions is associated with distinct challenges.

To the authors’ knowledge, this is the first research that investigates reintegration among different crisis services and provides an integrative social-ecological framework that identifies the different dimensions and challenges of this process.

This study empirically investigates how ambidextrous innovations and their balancing affect the supply chain financing performance (SCFP) of small and medium-sized enterprises (SMEs), based on signaling theory. Moreover, this study explores the moderating effect of the breadth and depth of digital technology deployment on the relationship between ambidextrous innovations and the SCFP of SMEs.

A mixed-methods design is used, including a qualitative study and a quantitative study. Qualitative data have been collected from six multi-cases in different industries. Questionnaire data have been collected from 259 SMEs in China, and a multiple regression model is used to verify the research hypotheses.

The findings indicate that, in supply chain financing, both exploitative innovation and exploratory innovation are helpful in improving the SCFP of SMEs. For resource-constrained SMEs, a relative balance between exploitative innovation and exploratory innovation can help improve SCFP. The breadth of digital technology deployment can strengthen the relationship between exploitative innovation and SCFP, while the depth of digital technology deployment can weaken the relationship between exploratory innovation and SCFP. In addition, increasing the depth of digital technology deployment strengthens the positive correlation between the relative balance of ambidextrous innovations and SCFP.

To effectively obtain supply chain financing, SMEs can either concentrate their limited resources on a single type of innovation or use relative balance strategies to simultaneously pursue two innovations. In addition, in the process of obtaining supply chain financing by ambidextrous innovations, SMEs should appropriately deploy digital technologies.

This study first deconstructs the impact mechanism of ambidextrous innovation capabilities on SCFP based on signaling theory, and then discusses the balancing effect of ambidextrous innovations on SCFP in the cases of resource-constrained SMEs. This study also goes further and finds the negative moderating effect of digital technology deployment in the process of supply chain financing.

The purpose of this paper is to explore the extent to which the standardized IT deployment strategy is employed within the manufacturing‐exporting firms in Jordan.

A total of 500 self‐administered questionnaires are delivered to a random sample selected from a sample frame comprising the Jordanian manufacturing‐exporting firms. A research assistant is hired and trained to handle questionnaire distribution and collection as well as answer basic inquiries. The researcher deals with the more difficult inquiries.

The study concludes that there is greater reliance on standardization and less acknowledgement of users and that IT deployment decisions remain technical and functional; only system requirements and functionality are taken into consideration; other factors including users are largely discarded.

This study is explorative in nature and therefore its focus is broad; subsector differences of the manufacturing/exporting firms are not studied.

To maximize deployment outcome, firms need to place more emphasis on users, provide better training, and localize training materials. User feedback and participation should be encouraged and incorporated in all IT‐related decisions.

This study reports results of the last of a series of several studies investigating deployment in Jordan, a country in the Middle East with a steep IT deployment learning curve, virtually no previous studies, and an academic field of IT deployment that remains largely unexplored.

Current centralized humanitarian aid deployment practices may encourage urbanization thereby weakening short- and long-term resiliency of lower-income countries receiving aid. The purpose of this paper is first, to explore these shortcomings within the peer-reviewed literature and, second, propose a starting point for a solution with a decentralized humanitarian aid deployment (DHAD) framework.

The authors conducted a focused, qualitative review of available and relevant literature.

The literature reviewed demonstrates that current centralized humanitarian aid deployment models lack meaningful engagement of local assets while indicating a plausible connection between these same models and disaster urbanization. Next, the literature shows introducing a new decentralized model could represent a sustainable aid deployment standard for that country’s specific response, recovery, mitigation and planning opportunities and constraints.

The next step is to develop a working DHAD model for a lower-income country using a multi-layered, GIS analysis that incorporates some or all of the socioeconomic and environmental variables suggested herein.

The practical potential of the DHAD framework includes establishing the impacted country in the lead role of their own recovery at the moment of deployment, no longer relying on foreign logistics models to sort it out once aid has arrived.

This paper discusses a topic that much of the literature agrees requires more research while suggesting a new conceptual framework for aid deployment best practices which is also largely absent from the literature.