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Aircraft assembly is the crucial part of aircraft manufacturing, and to meet the high-precision and high-efficiency requirements, cooperative measurement consisting of multiple measurement instruments and automatic assisted devices is being adopted. To achieve the complete data of all assembly features, measurement devices need to be placed at different positions, and the flexible and efficient transfer relies on Automated Guided Vehicles (AGVs) and robots in the large-size space and close range. This paper aims to improve the automatic station transfer in accuracy and flexibility.

A transferring system with Light Detection and Ranging (LiDAR) and markers is established. The map coupling for navigation is optimized. Markers are distributed according to the accumulated uncertainties. The path planning method applied to the collaborative measurement is proposed for better accuracy. The motion planning method is optimized for better positioning accuracy.

A transferring system is constructed and the system is verified in the laboratory. Experimental results show that the proposed system effectively improves positioning accuracy and efficiency, which improves the station transfer for the cooperative measurement.

A Transferring system for collaborative measurement is proposed. The optimized navigation method extends the application of visual markers. With this system, AGV is capable of the cooperative measurement of large aircraft structural parts.

This pragmatic research paper aims to unravel the smart vision-based method (SVBM), an AI program to correlate the computer vision (recorded and live videos using mobile and embedded cameras) that aids in manual lifting human pose deduction, analysis and training in the construction sector.

Using a pragmatic approach combined with the literature review, this study discusses the SVBM. The research method includes a literature review followed by a pragmatic approach and lab validation of the acquired data. Adopting the practical approach, the authors of this article developed an SVBM, an AI program to correlate computer vision (recorded and live videos using mobile and embedded cameras).

Results show that SVBM observes the relevant events without additional attachments to the human body and compares them with the standard axis to identify abnormal postures using mobile and other cameras. Angles of critical nodal points are projected through human pose detection and calculating body part movement angles using a novel software program and mobile application. The SVBM demonstrates its ability to data capture and analysis in real-time and offline using videos recorded earlier and is validated for program coding and results repeatability.

Literature review methodology limitations include not keeping in phase with the most updated field knowledge. This limitation is offset by choosing the range for literature review within the last two decades. This literature review may not have captured all published articles because the restriction of database access and search was based only on English. Also, the authors may have omitted fruitful articles hiding in a less popular journal. These limitations are acknowledged. The critical limitation is that the trust, privacy and psychological issues are not addressed in SVBM, which is recognised. However, the benefits of SVBM naturally offset this limitation to being adopted practically.

The theoretical and practical implications include customised and individualistic prediction and preventing most posture-related hazardous behaviours before a critical injury happens. The theoretical implications include mimicking the human pose and lab-based analysis without attaching sensors that naturally alter the working poses. SVBM would help researchers develop more accurate data and theoretical models close to actuals.

By using SVBM, the possibility of early deduction and prevention of musculoskeletal disorders is high; the social implications include the benefits of being a healthier society and health concerned construction sector.

Human pose detection, especially joint angle calculation in a work environment, is crucial to early deduction of muscoloskeletal disorders. Conventional digital technology-based methods to detect pose flaws focus on location information from wearables and laboratory-controlled motion sensors. For the first time, this paper presents novel computer vision (recorded and live videos using mobile and embedded cameras) and digital image-related deep learning methods without attachment to the human body for manual handling pose deduction and analysis of angles, neckline and torso line in an actual construction work environment.

This research aims to understand how satisfied students were with their online learning experience and how actively engaged they were in their studies.

To study the breadth and depth of students' experiences and fully address the research aims, the researchers utilized a mixed method. Through a survey questionnaire with both closed-ended and open-ended questions, student responses were gathered. On a five-point Likert scale, the closed-ended questions were co-constructed. The research participants included students attending Pakistan's private university in Karachi. Participants from all programs were the authors' focus (i.e. undergraduate and graduate). A total of 552 students completed the survey questionnaire.

The study reveals students' level of satisfaction with their online encounters. Contextual restrictions, such as power outages, bad internet, a lack of a private place and administrative problems, make it difficult to access and connect during learning sessions. Additionally, the student's perception of online learning as being more secure and safe in terms of their physical safety was an intriguing finding. They also see the integration of online and in-person learning as advantageous because it might reduce travel expenses and time while also giving them access to independent study resources. Given its many benefits, this research supports the use of online learning in higher education. Online education promotes a healthy mix of teacher- and student-centered instruction.

Moreover, the findings indicate that effective non-verbal communication occurs when students interact with a teacher and colleague face-to-face. In a face-to-face teaching situation, good body language may inspire, engage and motivate students. Better learning outcomes result from being able to interpret people's body language, whether it be eye contact or posture, and alter the topic and approach. Keeping in view the recent nature of the coronavirus disease 2019 (COVID-19) pandemic, no research has been carried out on this topic to date or on such a wide-scale transition to online learning, specifically in the context of higher education in Pakistan (Dincer, 2018). This research is unique in its kind as it focuses on the impact of online learning on the affective domain as well.

Given the contextual concerns, teachers must find alternative educational insights that will enable students to reduce listening demands, improve self-learning and promote engagement.

Therefore, in the authors' context, it is a unique finding that students felt socially isolated. While numerous studies have examined anxiety, still there is still a dearth of literature regarding stress factors (Dincer, 2018). The current study provided substantial information on the impact of online learning on students' stress levels, and the consequence is that they were strained out because they felt socially isolated. Additionally, these findings are in alignment with the qualitative data showing a problem of student isolation and a lack of engagement. Since the face-to-face mode had provided them with the time and space, they were able to engage in educational socialization outside the boundaries of the classroom, such as casual conversations during breaks, gatherings at coffee shops and working on group projects at the library.

This research was conducted in the context of Pakistan.

The purpose of this paper is to explore how posthumanism can contribute towards reframing responsible management education (RME) after the pandemic. Ethics has been a growing concern in management education for some time now, but the need to acknowledge the limitations and side effects of the global economy and the interdependences between biological and societal systems has come to the forefront in dramatic fashion during the pandemic.

Posthumanism proposes moving beyond traditional dichotomies such as nature-culture and social-material to introduce a relational epistemology in which attention is focused on local sociomaterial entanglements. This also introduces a new moral posture that is not based on formal principles but on a strong commitment to assembling the world and a capacity to cultivate response-abilities. As far as responsible management is concerned, it means moving the focus from managers to managing practices.

The contribution casts an original and critical eye on the reframing of RME and encourages a movement towards a “decolonisation” of educational methodologies. Posthumanist research acknowledges that pedagogical practices are the loci power relations and inclusion or exclusion come into play and are inscribed in the materiality of education, in the sense of objects as well as human bodies. Then, by applying on the author's experience as teacher, the paper provides inputs for developing a posthumanist research agenda for RME after the pandemic.

The contribution uses posthuman lens to explore RME and develops an original research agenda starting from the author’s teaching practices.

Contemporary service and marketing research on value co-creation and value co-destruction assume a one-dimensional view on value, ranging from positive value co-creation, alignment and high value to negative value co-destruction, misalignment and low value. This limitation has recently led researchers to conceptually develop more dynamic spatial-temporal models of how value is formed during the interaction, e.g. in terms of different relationships between practice elements (procedures, understandings and engagements) both within and between actors in “value formation spaces”. However, much of this research awaits validation and is in need of more details. This study aims to address this limitation with the purpose of detailing how and why the mechanisms in such spaces are formed.

Two different and interlinked typologies were analytically derived from previous research and applied on ethnographically-inspired multi-perspective empirical data from a service combining health care and transport service ecosystems, using a combination of interviews, observations and service design methodologies. The design in combination with a practice theory perspective was used to articulate crucial aspects related to understanding the dynamics of value co-formation for elaborative and illustrative purposes.

The study contributes to service theory by conceptualizing as follows: a typology consisting of nine different configurations of practice elements (within and between such elements) and eight possible directions that value formation can take, suggesting a theory that explains value co-creation, value co-destruction and mixed cases.

Although the findings have been developed in a specific empirical context, they articulate a conceptualization applicable to many other service and marketing value co-formation settings.

The typologies are conceptual tools to be used in identifying and measuring the alignment/misalignment of practice elements in complex organizations. The empirical findings uncover service problems faced by disabled customers.

The suggested typologies can guide research and practitioners in understanding and analysing value co-formation mechanisms in complex service settings.

Innovation is a constant attribute in the management processes of technology-based companies (TBCs), mostly small and young, and plays a relevant role in their competitiveness and survival. However, the authors assumed that the characteristics of innovation practices differ between incubated and post-incubated companies, in such aspects as formality, type, posture and strategy. The purpose of this paper is to report the innovation practices identified in small TBCs in the incubation and post-incubation periods (graduate companies).

To achieve the purpose, the authors carried out a multiple case study with four TBCs, two incubated and two post-incubated (graduate); the study was qualitative and exploratory, and the authors collected data with their managers.

The results show that these companies have high levels of innovation, which is a determinant factor for their presence in the business market; they create technological innovations in products and services, mostly incremental, such as improvements in existing products or reduction of internal costs of manufacturing. In addition, the results also show important features of the innovations, such as the interaction with other incubated companies and with universities and research centers.

The authors conclude that there were changes in innovation practices, in the transition from incubated to graduate companies, such as the formalization of processes, a shift in focus toward the customer and an increase in resources and in projects’ relevance.

This paper aims to address two fundamental questions: (1) How has Bahrain's industrial policy evolved during the 21st century? and (2) what factors contribute to this evolution?

Utilizing secondary data, this paper identifies key decision-makers responsible for economic policy in Bahrain and delineates the evolution of Bahrain's industrial policy throughout the 21st century. Subsequently, it employs a series of interviews with elite civil servants engaged in the formulation and implementation of Bahrain's economic policies to understand the reasons behind the observed changes.

Since assuming the role of Crown Prince in 1999, Sh. Salman bin Hamad Al Khalifa has been the key economic decision-maker in Bahrain. During the 21st century, Bahrain has shifted away from decisions closely aligned with the Washington Consensus towards those more in line with classical industrial policy. Interviews reveal that the private sector's underperformance in job creation, coupled with fiscal pressures, has driven this departure from the Washington Consensus. Moreover, the early successes of the interventionist Saudi Vision 2030 and Bahrain's own success in technocratically managing the COVID-19 pandemic have accelerated this transition.

Insights into the determinants of Bahrain's industrial policy can guide policymakers in refining future strategies. Recognizing the positive role of intellectual developments in academic economics literature becomes crucial for informed decision-making.

This paper fills a gap in the existing literature by providing answers to its research questions, particularly considering the significant changes witnessed in Bahrain's industrial policy post-pandemic.