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Docking technology plays a crucial role in enabling long-duration operations of autonomous underwater vehicles (AUVs). Visual positioning solutions alone are susceptible to abnormal drift values due to the challenging underwater optical imaging environment. When an AUV approaches the docking station, the absolute positioning method fails if the AUV captures an insufficient number of tracers. This study aims to to provide a more stable absolute position visual positioning method for underwater terminal visual docking.

This paper presents a six-degree-of-freedom positioning method for AUV terminal visual docking, which uses lights and triangle codes. The authors use an extended Kalman filter to fuse the visual calculation results with inertial measurement unit data. Moreover, this paper proposes a triangle code recognition and positioning algorithm.

The authors conducted a simulation experiment to compare the underwater positioning performance of triangle codes, AprilTag and Aruco. The results demonstrate that the implemented triangular code reduces the running time by over 70% compared to the other two codes, and also exhibits a longer recognition distance in turbid environments. Subsequent experiments were carried out in Qingjiang Lake, Hubei Province, China, which further confirmed the effectiveness of the proposed positioning algorithm.

This fusion approach effectively mitigates abnormal drift errors stemming from visual positioning and cumulative errors resulting from inertial navigation. The authors also propose a triangle code recognition and positioning algorithm as a supplementary approach to overcome the limitations of tracer light positioning beacons.

This paper aims to examine the mediating role of occupational stress in addressing the missing gap between organisational intelligence (OI) traits and digital government service quality.

By employing multistage cluster sampling, a total of 394 responses from the Malaysian service providers at federal government agencies were obtained. For data analysis, the partial least square structural equation modelling (PLS-SEM) approach with a disjoint two-stage approach was employed to assess the proposed higher-order model. The analysis was carried out to examine how occupational stress mediates the relationship between OI traits at each component level and digital service quality.

Occupational stress mediates the relationship between OI traits at the third-order component level and digital service quality. At the second-order component level, only the employee-oriented OI traits exhibit a significant indirect effect on the digital government service quality. Narrowing down to the first order component level, two OI traits, namely “Alignment and Congruence”, and “Heart” demonstrate significant indirect effects in the mediation analysis.

By incorporating the organisational model of stress (OMS) with public service-dominant logic (PSDL), this paper takes an approach to revitalise the stressors and individual-level performance used in a traditional work setting. Precisely, it examines how digital service quality is influenced by today's high-performing public organisation stressors (OI traits) along with non-technical element (occupational stress). More importantly, digital government service quality was examined from a less emphasised perspective, namely the supply side or service providers’ standpoint in sustaining the digital government service performance.

The productivity of a port is a measure that is important to different stakeholders: port administrators (port authority), third-party logistics providers, manufacturers and consumers, among others. This study analyses productivity in terms of vessel movement efficiencies (loading/unloading of cargo) and container release from port facilities. Both factors add to the overall productivity in any port.

A comparative analysis of the productivity of three ports is measured using a Quality Function Deployment (QFD) and benchmarking analysis to help establish strategies that will help improve productivity. Considering the information confidentially the authors will call the ports according to their geographic location. The ports under study are the USA Southeast Port (Port of America), Central Asian Port (Port of Asia) and Central Europe Port (Port of Europe).

This study has established an analysis strategy that allows seeing points of sale in the ports. This study will compare three different continents, only to demonstrate the applicability of QFD and benchmarking. Still, the strategy can be used in ports that compete due to their proximity and location. Identifying the variables to be analyzed made it possible to establish a strategy to increase productivity.

There are many studies that analyze port productivity, but none try to standardize the variables to be compared in different scenarios. This study has compared three ports from three different geographical areas, using the same variables in all three cases. The study critically analyses the performance of three ports and proposes a strategy based on QFD and benchmarking research.

The purpose of the present study is to determine how the cash conversion cycle (CCC) affects the financial performance of manufacturing companies in Bangladesh.

The authors have collected data of 61 Dhaka Stock Exchange (DSE)-listed firms from the 10 distinct manufacturing industries of Bangladesh for 18 years, from 2003 to 2020. The data have been analyzed through the two-steps system generalized method of moment (GMM) regression model, using profitability indicators return on asset (ROA) and earnings per share (EPS) as dependent variables, while CCC has been used as the independent variable, whereas asset turnover (ATO) and financial leverage (LEV) were used as control variables to assess the relationship between the CCC and financial performance.

The findings indicated that CCC has a negative connection with profitability – ROA and EPS, with the connection between CCC and EPS being highly significant. This indicates that reducing the inventory conversion time, reducing the period of receivable collection and making payments to creditors with potential delays might help Bangladeshi manufacturing firms boost their profitability. In addition, the firm-specific characteristics, namely ATO and LEV significantly affect the firm's profitability.

The research was based only on secondary sources and information was scarce. This research was conducted to determine the impact of the CCC on the corporate profitability of the manufacturing sector solely. There might be many other working capital variables that are still unexplored through this study.

The current study's findings are consistent with the traditional rule that minimizing the firm's days of the cash cycle may optimize financial performance. The results of this research have added to the existing body of knowledge on the topic of working capital management (WCM). Future research endeavors can be initiated for assessing the impact of the CCC on the firm's profitability in other industrial sectors or to identify other working capital variables that have much impact on corporate profitability.

This study is an original work of the researchers and adds value to the current literature in the domain of WCM and corporate profitability. The present study is the first one that covers firms in all the manufacturing industries in Bangladesh. The corporate managers, creditors, investors and other concerned stakeholders will be benefited from the findings of the present study.

This study aims to investigate the effect of the Diamond Justice model on self-efficiency with the mediating role of job stress among the staff of Qazvin hospitals affiliated with Qazvin University of Medical Sciences. This study is a cross-sectional descriptive-analytical study conducted among the staff of Qazvin hospitals affiliated with Qazvin University of Medical Sciences in 2020.

Sampling was performed using the structural equation method. Data collection tools included three sections: demographic information, justice and self-efficiency questionnaire and job stress questionnaire. Data were finally analyzed using SPSS software version 26 and AMOS version 23 at a significance level of 0.05.

The structural equation model’s standard estimation coefficients show that all existing paths are at a significant level. Finally, the regression analysis showed that justice is inversely related to stress level (ß = −0.185, p = 0.015). Justice is directly related with self-efficiency (ß = 0.282, p < 0.001).

Justice, stress and self-efficacy have been measured in various studies among health workers. However, a fitting model showing these three variables’ interaction was necessary. Therefore, this study tries to conceptualize the multifaceted relationships of the components of these concepts by presenting a model.