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The purpose of this paper is to propose a robotic system for percutaneous surgery. The key component in the system, a robotic arm that can manipulate a puncture needle is presented. The mechanical design, the motion control and the force control method of the robotic arm are discussed in the paper.

The arm with an arc mechanism placed on a 3D Cartesian stage is developed as a puncture needle manipulator to locate the position of the needle tip, tune the needle’s posture and actuate the puncture motion under the visual guidance of two orthogonal X-ray images of a patient by a surgeon. A focusing method by using two laser spots is proposed to automatically move the needle tip to a surgery entry point on the skin. A dynamics model is developed to control the position of the needle mechanism and an explicit force control strategy is utilized to perform the needle insertion.

With the surgical system, a surgeon can easily perform puncture operation by taking two orthogonal real-time X-ray images as a visual feedback and accurately navigating the needle insertion. The laser-guided focusing method is efficient in placement of the needle tip. The explicit force control strategy is proved to be effective for holding constant and stable puncture force in experiments.

The robotic arm has an advantage in easy redirection of the needle because the rotation and the translation are decoupled in the mechanism. By adopting simple laser pens and a well-developed kinematics model, the system can handle the entry point, locating task automatically. The focusing method and the force control method proposed in the paper are useful for the present system and could be intuitive for similar surgical robots.

The purpose of this study was to examine adverse outcomes associated with cesarean deliveries and to assess potential confounding factors.

A hospital-based cross-sectional study was conducted from September 1−30, 2019 using mixed methods of data collection. Multistage sampling was used to draw the eligible study participants. The sample size was calculated using the single population proportion formula. A systematic random sampling technique was used to draw the sample size. 180 original medical records were excluded because of having missed information, leaving 1,618 women as the study population. We used the questionnaire adapted from the Ethiopian Demographic and Health Survey to collect quantitative data and analyzed using SPSS version 22, while thematic analysis for qualitative measures was used to generate themes regarding associated perspectives of participants from a community.

More than 383 women delivered by cesarean section. 20% of the mothers with the mean age at birth of 26.1 ± 4.8 experienced adverse outcomes. Adjusted odds ratio (AOR) was used to measure the association of determinants and was 2.95 (95% CI 1.19–7.29) for nonuse of antenatal care, 3.18 (95% CI 1.43–6.94) for nonuse of prophylaxis, 4.28 (95% CI 1.58−11.61) for history of medical illness and 7.09 (95% CI 1.19−45.59) for use of substandard operation set up compared with their counterparts.

Strengths of the study include the finding of the study are reliably reported in mixed study methods examining hospital-based institutional and personal risk factors and exploring the whole community's perspectives. However, the important limitations of the study indicate that the study poses a number of challenges related to studying design, therefore there was not sufficient evidence of causality to draw conclusions from the findings. In addition, the study was conducted at a single hospital so that it is not convenient to generalize the findings of the study for setting different in social and economic status.

Based on the findings, attention has been drawn to healthcare personnel to provide training and consultation services for pregnant women and for health care administration to ensure standard set up for operation.

The purpose of this study is to explore the role individual innovativeness along with e-learning self-efficacy play in predicting the e-learning readiness of first- and second-year students of an open and distance education institutions in an African context.

Therefore, building on previous related research in this area, a quantitative approach was adopted to address the research questions and to establish whether a statistically significant relationship existed between individual innovativeness, e-learning self-efficacy, the independent variables; and e-learning readiness, the dependent variable. In total, 476 first- and second-years students of the university participated in the four-Likert-type scale survey. The research instrument which comprises 74 survey items was completed by 217 of the students. Statistical tools used for analysing data included both Pearson Product Moment Correlation coefficients and t-tests.

It was discovered that a strong positive and significant relationship was observed between individual innovativeness and e-learning readiness of first- and second-year students of the Yenagoa Study Centre of the National Open University of Nigeria (NOUN); a statistically significant relationship was also found between e-learning self-efficacy scores and the e-learning readiness of the first- and second-year students of the Yenagoa Study Centre of NOUN; there was a statistically significant joint relationship between the three variables under investigation; findings equally revealed that male respondents had higher e-learning readiness than their female counterparts.

Like every other study of this nature, this one also suffers some limitations. First, NOUN is a very large university with over half a million students spread across almost 78 study centres. This means that observation from just one study centre amounts to a very small sample size. This according to Schweighofer, Weitlaner, Ebner and Rothe (2019) jeopardises the generalisability and validity of study results. The authors also maintain that empirical data generated from surveys that usually rely participants' abilities to read and select responses without further interpretation by the researchers suffer from cognitive biases like social desirability. To address the above limitations, detailed studies involving all studies centres of NOUN be undertaken and other qualitative and or mixed research methodologies be adopted in the future.

The implications for this study are that people who are innately innovative will willingly accept technology and by extension, learning in technology-rich environments like those found in like NOUN whose mode of study is blended learning inherently found in open and distance learning (ODL) institution. Therefore, this study is significant as it will provide relevant information to the management and administrators of NOUN, policymakers and regulatory institutions for the development, deployment and implementation of e-learning strategies. Findings will also benefit e-learning initiatives undertaken by similar institutions that adopt the ODL mode of education in Nigeria and other developing countries.

Even though, studies on the antecedents of e-learning readiness have been widely conducted across diverse contexts, studies exploring the associations between individual innovativeness, e-learning self-efficacy and e-learning readiness are relatively hard to come by. The above two variables as predicting the e-learning readiness in the study context are comparatively new. This study thus focuses on the relationships between the individual innovativeness levels, e-learning self-efficacy beliefs of students and their e-learning readiness which ultimately determines their ability to sustain studies in an ODL institution.

Modern meat processing requires automation and robotisation to remain sustainable and adapt to future challenges, including those brought by global infection events. Automation of all or many processes is seen as the way forward, with robots performing various tasks instead of people. Meat cutting is one of these tasks. Smart novel solutions, including smart knives, are required, with the smart knife being able to analyse and predict the meat it cuts. This paper aims to review technologies with the potential to be used as a so-called “smart knife” The criteria for a smart knife are also defined.

This paper reviews various technologies that can be used, either alone or in combination, for developing a future smart knife for robotic meat cutting, with possibilities for their integration into automatic meat processing. Optical methods, Near Infra-Red spectroscopy, electrical impedance spectroscopy, force sensing and electromagnetic wave-based sensing approaches are assessed against the defined criteria for a smart knife.

Optical methods are well established for meat quality and composition characterisation but lack speed and robustness for real-time use as part of a cutting tool. Combining these methods with artificial intelligence (AI) could improve the performance. Methods, such as electrical impedance measurements and rapid evaporative ionisation mass spectrometry, are invasive and not suitable in meat processing since they damage the meat. One attractive option is using athermal electromagnetic waves, although no commercially developed solutions exist that are readily adaptable to produce a smart knife with proven functionality, robustness or reliability.

This paper critically reviews and assesses a range of sensing technologies with very specific requirements: to be compatible with robotic assisted cutting in the meat industry. The concept of a smart knife that can benefit from these technologies to provide a real-time “feeling feedback” to the robot is at the centre of the discussion.

The purpose of this study is to bring out the success of the Godrej Group, focusing on their leadership styles and discussing how authentic and ethical leadership leads to value-based leadership (VBL), which has its eminence in the post-COVID-19 world.

The case study has been designed based on secondary published sources and few informal interactions with the leaders associated with the Godrej Group.

It was found that VBL is derived from authentic and ethical leadership and Adi Godrej, Chairman of Godrej Group, managed to sail through all these years successfully by adopting the authentic, ethical and VBL style, thereby transforming the family business into a global business and a valuable brand.

The case study is based on secondary published sources and informal interactions with the Godrejites. The different elements and eminence of authentic, ethical and VBL styles are explored. These values will play a significant role in the post-COVID-19 world. Value-based leader inculcates a clear, honest, empathetic and simple approach to employer–employee communication as the COVID-19 situation evolves. This case will therefore be of value to anyone using or considering a value-based approach to developing a successful leadership culture. These include Masters of Business Administration students, entrepreneurs, professional practitioners, etc.

Family business sustainability is a critical issue. This study considers if adopting a strategic entrepreneurship orientation can support the sustainability of a family business.

A qualitative approach is used, in which semi-structured interviews were conducted with twelve family business owners. Data collected during the interviews provides insights into understanding, practices, motivations, behaviours and attitudes relating to sustainability.

Although awareness of sustainability processes and procedures is found to be low, sustainability is important to the family business. However, sustainability is not managed or implemented systematically.

The paper presents a new model to describe the sustainability practices of family businesses. Adoption of strategic entrepreneurship is advocated as mechanism for improving sustainability. Practical and policy implications are suggested to enhance the effectiveness of sustainability initiatives in family business settings.

This case study aims to shed light on what went wrong with the introduction of new surgical suture in a Dutch hospital operating theatre following a tender. Transition to working with new surgical suture was organized in accordance with legal and contractual provisions, and basic principles of change management were applied, but resistance from surgeons led to cancellation of supplies of the new suture.

Researchers had access to all documents relevant to the tendering procedure and crucial correspondence between stakeholders. Seventeen in-depth, 1 h interviews were conducted with key informants who were targeted through maximum variation sampling. Patients were not interviewed. The interviews were recorded, transcribed and analysed by discourse analysis. A trial session and workshop were participatively observed. A cultural psychological perspective was adopted to gain an understanding of why certain practices appear to be resistant to change.

For the cardiothoracic surgeons, suture was more than just stitching material. Suture as a tactile element in their day-to-day work environment is embedded within a social arrangement that ties elements of professional accountability, risk avoidance and direct patient care together in a way that makes sense and feels secure. This arrangement is not to be fumbled with by outsiders.

By understanding the practical and emotional stakes that medical professionals have in their work, lessons can be learned to prevent failure of future change initiatives.

The cultural psychological perspective adopted in this study has never been applied to understanding failed change in a hospital setting.

Digital transformation affected modern society influencing how businesses cooperate and produce value. In this context, Artificial Intelligence plays a critical role. This study aims to explore the role of Artificial Intelligence in organisational positioning within the market, influencing firms' competitiveness. In this vein, this research seeks to respond to the following research question: How does AI impact the competitive advantage of healthcare organizations?.

To tackle the research question, an explorative analysis using the case study method to investigate an international healthcare center in Dubai was conducted. Nine semi-structured interviews were conducted with the head and the members of the robotic surgery team in CMC Dubai to thoroughly understand what the components of the robotic approach are and how the arrangement before the introduction of this innovative technique while shedding light on the added value and the advantages of adopting such technique on both patient safety and patient satisfaction. Additionally, archival data and online documentation (e.g. industry reports, newspaper articles and internal documents) were analyzed to obtain data triangulation.

The results highlight three primary outcomes influenced by implementing AI in organizational processes: clinical, financial and technological outcomes. The study will offer interesting non-studied insights about the implementation of Artificial Intelligence tools in the healthcare sector and specifically robotic surgeries, and to which extent this will contribute and represent a competitive advantage. Results will hopefully insert a brick in the wall of the impact of AI tools on the quality and the results of surgical operations while emphasizing the benefits of integrating AI in surgical practice.

This study offers interesting theoretical and practical implications. It opens a new perspective to understand and manage AI tools in service. This research is not without limits providing valuable insights for future research.

This study investigates the relationships between team dynamics and performance in healthcare operations. Specifically, it explores, through wearable sensors, how team coordination mechanisms can influence the likelihood of surgical glitches during routine surgery.

Breast surgeries of a large Italian university hospital were monitored using Sociometric Badges – wearable sensors developed at MIT Media Lab – for collecting objective and systematic measures of individual and group behaviors in real time. Data retrieved were used to analyze team coordination mechanisms, as it evolved in the real settings, and finally to test the research hypotheses.

Findings highlight that a relevant portion of glitches in routine surgery is caused by improper team coordination practices. In particular, results show that the likelihood of glitches decreases when practitioners adopt implicit coordination mechanisms rather than explicit ones. In addition, team cohesion appears to be positively related with the surgical performance.

For the first time, direct, objective and real time measurements of team behaviors have enabled an in-depth evaluation of the team coordination mechanisms in surgery and the impact on surgical glitches. From a methodological perspective, this research also represents an early attempt to investigate coordination behaviors in dynamic and complex operating environments using wearable sensor tools.

This study aims to increase the understanding of the starting points and presuppositions of organizational learning (OL) processes in a hospital’s surgical department based on the existing theory of OL and to make visible the practical possibilities of the theory in this context.

The study was conducted as a case study. The data were collected from personnel of the hospital’s surgical department and consisted of 26 thematic interviews. The data were analyzed using qualitative theory-driven content analysis.

This study found different starting points for both employee-oriented and organization-oriented learning processes that could potentially progress to different levels of the organization: from individuals to a wider group or from a large group to an individual. The starting point of employee-oriented learning processes was depicted as everyday life problems or situations or was based on the person’s interest. The starting points of organization-oriented learning processes were described as achieving or maintaining the organization’s expected skill levels, pursuing continuous development or pursuing the organization’s specific development needs. Different kinds of presuppositions were also located within the OL processes.

This study produced new practice-based knowledge about the starting points of OL processes and their presuppositions. In health-care organizations, learning is especially important due to intensive and complex changes, and this study provides empirical evidence on how to enhance learning.