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This paper presents a survey of research into interactive robotic systems for the purpose of identifying the state of the art capabilities as well as the extant gaps in this emerging field. Communication is multimodal. Multimodality is a representation of many modes chosen from rhetorical aspects for its communication potentials. The author seeks to define the available automation capabilities in communication using multimodalities that will support a proposed Interactive Robot System (IRS) as an AI mounted robotic platform to advance the speed and quality of military operational and tactical decision making.

This review will begin by presenting key developments in the robotic interaction field with the objective of identifying essential technological developments that set conditions for robotic platforms to function autonomously. After surveying the key aspects in Human Robot Interaction (HRI), Unmanned Autonomous System (UAS), visualization, Virtual Environment (VE) and prediction, the paper then proceeds to describe the gaps in the application areas that will require extension and integration to enable the prototyping of the IRS. A brief examination of other work in HRI-related fields concludes with a recapitulation of the IRS challenge that will set conditions for future success.

Using insights from a balanced cross section of sources from the government, academic, and commercial entities that contribute to HRI a multimodal IRS in military communication is introduced. Multimodal IRS (MIRS) in military communication has yet to be deployed.

Multimodal robotic interface for the MIRS is an interdisciplinary endeavour. This is not realistic that one can comprehend all expert and related knowledge and skills to design and develop such multimodal interactive robotic interface. In this brief preliminary survey, the author has discussed extant AI, robotics, NLP, CV, VDM, and VE applications that is directly related to multimodal interaction. Each mode of this multimodal communication is an active research area. Multimodal human/military robot communication is the ultimate goal of this research.

A multimodal autonomous robot in military communication using speech, images, gestures, VST and VE has yet to be deployed. Autonomous multimodal communication is expected to open wider possibilities for all armed forces. Given the density of the land domain, the army is in a position to exploit the opportunities for human–machine teaming (HMT) exposure. Naval and air forces will adopt platform specific suites for specially selected operators to integrate with and leverage this emerging technology. The possession of a flexible communications means that readily adapts to virtual training will enhance planning and mission rehearsals tremendously.

Interaction, perception, cognition and visualization based multimodal communication system is yet missing. Options to communicate, express and convey information in HMT setting with multiple options, suggestions and recommendations will certainly enhance military communication, strength, engagement, security, cognition, perception as well as the ability to act confidently for a successful mission.

The objective is to develop a multimodal autonomous interactive robot for military communications. This survey reports the state of the art, what exists and what is missing, what can be done and possibilities of extension that support the military in maintaining effective communication using multimodalities. There are some separate ongoing progresses, such as in machine-enabled speech, image recognition, tracking, visualizations for situational awareness, and virtual environments. At this time, there is no integrated approach for multimodal human robot interaction that proposes a flexible and agile communication. The report briefly introduces the research proposal about multimodal interactive robot in military communication.

This study aims to investigate the moderating role of psychological capital (PC) and the mediating role of safety climate (SC) in the relationship between the perception of psychological well-being (PWB) and ethical climate perception (ECP) of yacht crews in commercial yachts.

This study follows a quantitative approach. Data were obtained from a total of 339 yacht crews in Türkiye. The data were analyzed using SPSS 22 and AMOS 22 statistics package software.

This study uncovers the role of SC and PC in the causal relationship between the PWB and ECP of yacht crews who are, as tourism and maritime industry employees, expected to exhibit positive organizational attitudes and behaviors. The PWB of yacht crews in the work environment is affected by their SC and PC levels.

Although the holistic model of this study is a strong one, there are some limitations. The sample includes only Turkish yacht crews in yacht organizations in Türkiye. Yacht crews work periodically under harsh conditions. We acquired the research data from the yacht crews who had experienced the challenging environment; hence, the findings are specific to the crews. Ethical perceptions and standards may differ across cultures; for this reason, future research on employees in different organizations may conclude with different results. The significance of this research lies in the fact that it tests a comprehensive model.

This study can guide managers in finding ways to affect the PWB of crews. Ethical and safety climate should be taken into account by yacht organizations to improve the perceptions of yacht crews. The findings show that ECP and SC have a positive effect on the PWB of yacht crews. From this perspective, this study suggests that yacht organizations should involve their crews in their ethical decisions to foster an ECP. Yacht businesses should act consistently in all areas and adopt clear safety and ethical rules and procedures for yacht crews to follow to create a perception of ethical and safety climate.

This study contends that yacht crews, who face lengthy shifts and professional duties, are a component of the tourism and maritime industries. The findings indicated the necessity for more study on different perspectives related to the factors that impact PWB in the light of the employees. There are relatively scarce data on yacht crews and the relationship between their PWB, SC, ECP and personality constructs such as PC. This research shows that the PWB of yacht crews in stressful and demanding working environments depends on positive ECP and high PC through SC.

This study is the first to assess the role of SC and PC in the relationship between the ECP and PWB of yacht crews. It further aims to fill the research gaps and build on the tourism and maritime literature on yacht crews and PWB, and climate within the tourism and maritime context.

This study examines entrepreneurship and assesses its relevance to health care organizations through a detailed description of the optimal environment, organizational factors, and managerial roles in the entrepreneurship process. The article finds entrepreneurship processes to be especially useful to health care organizations as they struggle to survive in the competitive managed care environment.

While entrepreneurship may be driven by personal interests and lifestyle choices, entrepreneurial actions are not only economically driven opportunity-searching processes but also enactments of social transformation that may or may not lead to socioeconomic benefits. We advance that exploring these entrepreneurial processes can inform a theory of the firm that may explain how socioeconomic processes shape the socioeconomic environment of communities while serving individuals. This article discusses several understandings of the firm, as theorized in extant literature. Guided by these different conceptualizations, we present a case study of an artist and artisan cluster in Western Massachusetts to demonstrate various understandings of entrepreneurial processes. By way of conclusion, we develop the idea of the firm as a geographically embedded relational understanding aiding entrepreneurs to achieve personal goals while coconstructing their local environment.

Rapid sensitivity analysis and near-optimal decision-making in contested environments are valuable requirements when providing military logistics support. Port of debarkation denial motivates maneuver from strategic operational locations, further complicating logistics support. Simulations enable rapid concept design, experiment and testing that meet these complicated logistic support demands. However, simulation model analyses are time consuming as output data complexity grows with simulation input. This paper proposes a methodology that leverages the benefits of simulation-based insight and the computational speed of approximate dynamic programming (ADP).

This paper describes a simulated contested logistics environment and demonstrates how output data informs the parameters required for the ADP dialect of reinforcement learning (aka Q-learning). Q-learning output includes a near-optimal policy that prescribes decisions for each state modeled in the simulation. This paper's methods conform to DoD simulation modeling practices complemented with AI-enabled decision-making.

This study demonstrates simulation output data as a means of state–space reduction to mitigate the curse of dimensionality. Furthermore, massive amounts of simulation output data become unwieldy. This work demonstrates how Q-learning parameters reflect simulation inputs so that simulation model behavior can compare to near-optimal policies.

Fast computation is attractive for sensitivity analysis while divorcing evaluation from scenario-based limitations. The United States military is eager to embrace emerging AI analytic techniques to inform decision-making but is hesitant to abandon simulation modeling. This paper proposes Q-learning as an aid to overcome cognitive limitations in a way that satisfies the desire to wield AI-enabled decision-making combined with modeling and simulation.

Researchers have found that a firm's external environment plays a profound role in influencing corporate entrepreneurship.

Logistics service performance measurement (PM) is a fundamental activity pertaining to the achievement of logistics goals and the improvement of services. The choice of logistics PM criteria depends on stakeholder goals and expectations, including logistics service providers, customers and government and regulatory institutions. PM is especially challenging in areas where high values are at stake, several actors are involved and uncertainty about cause-and-effect relations is high. This paper aims to examine the measurement of performance in offshore oil and gas logistics, which has unique characteristics such as a supply chain (SC) exposed to a harsh environment, the presence of several independent carriers and a highly specialised and costly set of vessels involved in long-distance transport legs.

The study is designed as a multiple case study of two Norwegian shipping companies and two international oil and gas companies. Data were collected from several parts of the offshore service SC in several Arctic oil and gas fields.

This paper sheds light on the performance of the SC and presents key performance indicators for logistics operations. It concludes that the measurement of SC performance must be context-specific and emphasis needs to be placed on the degree of uncertainty and inter-dependency related to the SC in question.

The study suggests a list of context-specific key performance indicators for offshore logistics with a special emphasis on the peculiarities of a harsh operational environment.

Traditional feasibility analysis is focused on the immediate and urgent needs of a new venture start-up. All four parts of the feasibility analysis (product/service, industry/market, organizational, and financial) are valuable and essential, but what is missed is a part that provided attention to the longer-term requirements for success and sustainability. A fifth strategic feasibility analysis is needed, focused on the long-term sustainability of the new venture. This strategic/contingent context-dependency lens considers the organization's long-term survival, confirming that organizational success depends on the new venture's ability to emphasize its uniqueness and fit with its external environment.

This paper takes advantage of the decades-long literature review in Strategy to combine known data with entrepreneurial practice in undertaking the feasibility analysis.

This enhanced feasibility analysis adds a strategic lens beyond the traditional four-part feasibility analysis, resulting in identifiable value-added benefits and awareness of potential opportunities or threats in the longer term.

This research is conceptual and theoretical at this point, without field implementation.

New venture failure is an ongoing concern for many. This suggested strategic lens, especially the sustainability aspect (beyond the “what-do-we-need-to-do-to-open-the-doors” of much feasibility analysis) may prove very useful. Competitive advantage is examined in the traditional feasibility analysis, but this strategic lens suggests a longer term examination, and engages with competitor response.

If adopted, this enhanced analysis may lead to greater success for new venture start-ups, thus less wasted time, energy and money.

This is the first attempt at adding a focused strategic lens to the traditional entrepreneurial feasibility analysis. This may seem like a simple and elementary shift of perspective, but the implications are huge, and take advantage of the decades-long research stream in strategic thinking and planning.

Knowledge regarding the importance of the psychosocial work environment for health and well-being in the workplace is extensive. However, more knowledge is needed about how the managers’ organizational conditions are related to what occupational health and safety management (OHSM) is actually conducted and how this relates to the work-related health of employees. The aim of this study is therefore to investigate if managers’ organizational conditions are associated with the conducted OHSM, and if the conducted OHSM is associated with the psychosocial work environment and well-being of the employees.

An electronic questionnaire was sent to managers and their employees working in 10 different organizations in Sweden, resulting in 1,097 valid responses. Structural equation modeling (SEM) was used to analyze the results.

The SEM analysis showed that managers’ conditions were related to employee well-being via OHSM and psychosocial work environment (job demands and job resources).

This study contributes to the existing literature in the field of OHSM by placing explicit focus on the role of organizational conditions for conducting OHSM. By studying not only the link between work environment and health, but also focus on the underlying organizational structures for OHSM, provides additional possibilities for prevention of the increasing work-related illness. As such, this paper contributes to a more holistic perspective in the field of OHSM.

Studies show that building information modelling (BIM) technology can improve construction productivity regarding the design, construction and maintenance of a project life cycle in the 21st century. Revit has been identified as a frequently used tool for delivering BIM in the built environment. Studies about BIM technology via Revit are scarce in training middle-level workforce higher education institutions. Thus, this study aims to investigate the relevance of BIM technology and offer measures to promote digitalisation in Nigeria’s built environment polytechnic undergraduates via Revit.

Given the unexplored nature of training the middle-level workforce in Nigeria, 37 semi-structured virtual interviews were conducted across Nigeria, and saturation was achieved. The participants were knowledgeable about construction-related BIM. The researchers used a thematic analysis for the collected data and honed them with secondary sources.

Improved visualisation of design, effective and efficient work productivity, automatic design and quantification, improved database management and collaboration and data storage in the centrally coordinated model, among others, emerged as BIM’s benefits. BIM technology via Revit is challenging, especially in Nigeria’s polytechnic education curriculum. The 24 perceived issues were grouped into government/regulatory agencies-related, polytechnic management-related and polytechnic undergraduate students-related hindrances in Nigeria’s built environment.

This study is limited to BIM implications for Nigeria’s built environment polytechnic undergraduates.

This study contributes to the literature paucity in attempting to uncover perceived issues hindering the implementation of BIM technology via Revit in training Nigeria’s built environment polytechnic undergraduates via a qualitative approach.