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This paper aims to offer a comprehensive review and categorization of production optimization throughout the additive manufacturing lifecycle in a cloud environment. It aims to provide a structured approach to identifying and addressing issues.

This paper systematically reviews 75 technical papers on cloud manufacturing, nesting, scheduling and postprocessing in additive manufacturing. This includes a detailed discussion of the key issues.

This paper introduces a production framework for the entire lifecycle of additive manufacturing in a cloud environment. This framework aids in problem identification and decision-making based on the process flow. It provides an integrated view from cloud to postprocessing, examining decision interdependencies and enhancing problem identification and organization.

To the best of the authors’ knowledge, this paper is the first to review the complete lifecycle of additive manufacturing, emphasizing the often-overlooked aspects of postprocessing and cloud manufacturing. It offers a comprehensive study of lifecycle optimization challenges and suggests ways to streamline the production process.

An intelligent personal assistant for personal computers (PCs) is a vital application for the current generation. The current computer personal assistant services checking frameworks are not proficient at removing significant data from PCs and long-range informal communication information.

The proposed verbalizers use long short-term memory to classify the user task and give proper guidelines to the users. The outcomes show that the proposed method determinedly handles heterogeneous information and improves precision. The main advantage of long short-term memory is that handle the long-term dependencies in the input data.

The proposed model gives the 22% mean absolute error. The proposed method reduces mean square error than support vector machine (SVM), convolutional neural network (CNN), multilayer perceptron (MLP) and K-nearest neighbors (KNN).

This paper fulfills the necessity of intelligent personal assistant for PCs using verbalizer.

This study aims to investigate the impact of organizational mistreatments, such as workplace bullying and ostracism, on task performance. Additionally, it explores the mediating role of cyber loafing and the moderating role of negative reciprocity beliefs.

Adopting a positivism research philosophy and a deductive approach, this study focuses on the petroleum sector-related organizations where enterprise resource planning requires active Internet use, potentially leading to cyber loafing. Data were collected from employees using purposive sampling techniques, resulting in a sample size of 248. The data analysis was conducted using AMOS and SPSS software.

The results indicate that cyber loafing fully mediates the relationship between workplace bullying and ostracism on task performance. Additionally, negative reciprocity beliefs significantly moderate the relationship between workplace bullying, ostracism and cyber loafing.

This study presents a moderated-mediation model of organizational mistreatments and task performance, elucidating the mechanisms through the mediating role of cyber loafing and the moderating role of negative reciprocity beliefs.

Insufficient time allocation for the bidding period occurs, causing drawbacks to both parties, the client and the bidder. Hence, this study aims to evaluate the time allocated for preparing a bid proposal as per the National Competitive Bidding (NCB) in the Sri Lankan context.

The study has adopted a mixed method approach and expert interviews and document review to detect, analyse and validate the issues, and solutions based on NCB along with the adequacy of the allocated bidding period used as main data collection tools. Both qualitative and quantitative data were analysed through manual content analysis and inferential analysis respectively.

Overall, 24 local issues with the existing competitive bidding process and solutions for each were identified. Among the 24 local issues, it was unanimously agreed by all interviewees that three specific issues require attention and improvement. These issues are related to the standard and incompleteness of bidding documents, inaccurate BOQ quantities measured by the consultant or the main contractor, and the excessive number of bidding document amendments by the consultant. It was revealed that a maximum of 42 calendar days (6 weeks) is sufficient for the bidding process while a minimum of 21 calendar days (3 weeks) is insufficient.

The findings of this study would be recommended that Information and Communication Technology Agency (ICTA) understand the necessity of revising the NCB reference to the time allocated for the preparation of bids. By recognising the importance of sufficient time allocation for bid preparation, this research serves as a practical guide for authorities involved in policy formulation, aiding them in implementing revisions that align with the dynamic requirements of bidding procedures.

The purpose of this study is to explore the effect of different post-curing times on the mechanical properties, specifically the visco-elastic characteristics, Poisson’s ratio and modulus, of three dimensional (3D) printed photopolymer composites (PPCs) reinforced with short glass fibres (SGF).

This research uses digital light processing-based Vat-photopolymerization process to 3D print PPCs reinforced with SGF at volume fractions of 2%, 4%, 6% and 8%. An inter-stage stirring process was used to reinforce the SGFs in a layer wise fashion. After printing, the parts undergo post-curing for 20, 60 and 100 min. The mechanical properties are then analyzed using dynamic mechanical analysis and in situ optical measurements. In addition, two-dimensional strain mapping from digital image correlation techniques is used to assess the structural behavior.

This study found that composites with 4% SGF reinforcement achieved the highest storage modulus, approximately 1,550 MPa, after 60 and 100 min of post-curing. In addition, the Poisson’s ratio of these composites increased from 0.2 to 0.41 with rising temperature. By applying Poisson’s ratio correction, the modulus was observed to be 1,800 MPa. These results indicate that optimal SGF content and post-curing times significantly enhance the mechanical properties of 3D-printed PPCs.

This research uniquely combines the reinforcement of photopolymers with SGFs at varying volume fractions and the detailed analysis of post-curing times to enhance the mechanical properties of 3D printed PPCs.

This paper aims to build upon the accountability pyramid model by presenting two studies that examine the dimensionality of individual accountability among Amazon Mechanical Turk (MTurk) gig workers.

For the first study, aimed at investigating the dimensionality of individual accountability of gig workers, the authors collected data from MTurkers by administering two surveys in the English and Mandarin Chinese languages with 185 respondents. The authors implemented principal component analysis and confirmatory factor analysis to analyse the data. For the second study, aimed at establishing validation of the dimensionality found in the first study, the authors collected data from an additional 148 respondents.

The results indicated that the intensity and salience dimensions merged into one factor that the authors labelled Accountability Significance, while the process and outcome dimensions merged into one factor labelled Accountability Focus. Additionally, the authors found that individual accountability is a second-order construct encompassing Accountability Significance and Accountability Focus as first-order factors. The authors validated the findings in the second study.

To the best of the authors’ knowledge, this research is the first quantitative study investigating the individual accountability of gig workers. The validation of individual accountability in MTurkers offers valuable insights into MTurkers’s Hybrid Accountability Focus and Accountability Significance.

This paper aims to assess the considerations for implementing sustainability initiatives in higher education institutions (HEIs).

It employs a qualitative approach. It is based on opinions gathered from 272 stakeholders (including authorities and academicians) of HEIs.

Nepalese HEIs are facing several challenges, such as the lack of a changing vision and values to create a culture of sustainability initiatives and the socioeconomic and cultural gaps between policy sources and implementation approaches for sustainability. Therefore, they need to consider several sustainability initiatives to improve their performance and competitiveness. Effective leadership, learning culture, sustainability-related policy, effective HRM, organizational structure, supportive culture, technology, rewards, and university-academia-industry linkages are the key prerequisites for implementing sustainability initiatives. Thus, HEIs must make substantial investments in such aspects. Furthermore, they have to focus on sustainability initiative context, feasible strategies, and actionable/practical solutions to implement sustainability initiatives that help in achieving performance outcomes.

It is solely based on the opinions of authorities and academicians of Nepalese HEIs. Since it was carried out in the Nepalese context, results might vary at other times and in other nations.

It serves as a wake-up message to HEIs' officials about the barricades associated with sustainability initiatives and also addresses important requirements for putting such initiatives into practice.

It provides a holistic framework to initiate sustainability in HEIs to help them achieve expected outcomes.