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With the rapid development of internet technology, open online social networks provide a broader platform for information spreading. While dissemination of information provides convenience for life, it also brings many problems such as security risks and public opinion orientation. Various negative, malicious and false information spread across regions, which seriously affect social harmony and national security. Therefore, this paper aims to minimize negative information such as online rumors that has attracted extensive attention. The most existing algorithms for blocking rumors have prevented the spread of rumors to some extent, but these algorithms are designed based on entire social networks, mainly focusing on the microstructure of the network, i.e. the pairwise relationship or similarity between nodes. The blocking effect of these algorithms may be unsatisfactory in some networks because of the sparse data in the microstructure.

An algorithm for minimizing the influence of dynamic rumor based on community structure is proposed in this paper. The algorithm first divides the network into communities, and integrates the influence of each node within communities and rumor influence probability to measure the influence of each node in the entire network, and then selects key nodes and bridge nodes in communities as blocked nodes. After that, a dynamic blocking strategy is adopted to improve the blocking effect of rumors.

Community structure is one of the most prominent features of networks. It reveals the organizational structure and functional components of a network from a mesoscopic level. The utilization of community structure can provide effective and rich information to solve the problem of data sparsity in the microstructure, thus effectively improve the blocking effect. Extensive experiments on two real-world data sets have validated that the proposed algorithm has superior performance than the baseline algorithms.

As an important research direction of social network analysis, rumor minimization has a profound effect on the harmony and stability of society and the development of social media. However, because the rumor spread has the characteristics of multiple propagation paths, fast propagation speed, wide propagation area and time-varying, it is a huge challenge to improve the effectiveness of the rumor blocking algorithm.

To solve problems of low intelligence and poor robustness of traditional navigation systems, the purpose of this paper is to propose a brain-inspired localization method of the unmanned aerial vehicle (UAV).

First, the yaw angle of the UAV is obtained by modeling head direction cells with one-dimension continuous attractor neural network (1 D-CANN) and then inputs into 3D grid cells. After that, the motion information of the UAV is encoded as the firing of 3 D grid cells using 3 D-CANN. Finally, the current position of the UAV can be decoded from the neuron firing through the period-adic method.

Simulation results suggest that continuous yaw and position information can be generated from the conjunctive model of head direction cells and grid cells.

The proposed period-adic cell decoding method can provide a UAV with the 3 D position, which is more intelligent and robust than traditional navigation methods.

This paper aims to examine the Islamic marketing literature to uncover potential customer adoption behaviours and enhance the effectiveness of blockchain-based halal logistics services in catering to customer demands. The findings of this paper provide substantial contributions to the realms of both halal logistics services and Islamic marketing literature, delineating future paths for research. By delving into halal logistics practices, integration procedures and service provider performance, this paper assists stakeholders in enhancing halal logistics services to meet the changing demands of customers effectively.

This paper uses a systematic review incorporating bibliometric analysis to examine past and contemporary research topics, selecting and appraising contributions while analysing and consolidating data. A methodical approach has been used to identify, assess and incorporate pertinent studies on Islamic characteristics, traceability technology, blockchain integration and halal logistics practices.

After screening and analysing 139 selected documents with the VOS viewer, it is evident that among a 1,000 keywords, 15 stand out in terms of frequency and link strength. The research highlights the considerable academic interest in themes such as “blockchain”, “halal logistics” and “supply chain”, underscoring their importance. The findings of this paper help bridge the gap in Islamic marketing by linking technology with religious values. It suggests that the integration of blockchain technology in halal logistics enhances operational efficiency while aligning with both operational and Islamic marketing principles, promoting ethical conduct and transparency as key enablers.

The theoretical significance of this paper lies in establishing a correlation among three key research domains: technology, symbolised by blockchain; customer-centric operations, incorporating the halal supply chain and logistics within Islamic marketing. The outcomes reflect consumer behaviour and Shariah compliance. This integration has the potential to introduce innovative theoretical frameworks that encompass religious ethics in marketing, logistics and technological advancements.

This paper comprehensively analyses the intersection between blockchain technology, halal logistics, supply chain management and Islamic marketing. The paper has comprehensively analysed previous studies and outlined the future research path for blockchain technology in halal logistics and its application in Islamic marketing literature.

The purpose of this paper is to identify the contributions of information systems (IS) for the evolutionary process of corporate environmental management by highlighting implications for big data research.

The authors conducted two case studies with Brazilian enterprises certified by ISO 14001, by conducting interviews, document analysis and direct observation. Implications for a research agenda on big data are also presented.

As results, the authors present the identification of the main contributions of IS for the evolution of environmental management in the studied cases. The authors found that advanced stage regarding IS may be considered a factor that implies a more effective environmental management.

The main contribution of this research consists of the presentation of a framework that identifies the support of IS for corporate environmental practices. By confirming the relation between IS and maturity levels of environmental management, the authors highlight that application of big data has the potential of boosting the relation between IS and corporate environmental management.

The purpose of this paper is to analyse the relationship between top management commitment, corporate social responsibility (CSR) and green human resource management (GHRM).

A self-administered questionnaire was adopted to perform a systematic collection of data from manufacturing and service organisations in Malaysia. The partial least squares method was used for the conceptual framework of the study.

The observed findings indicate a significant positive relationship between top management commitment and CSR, as well all dimensions of GHRM. However, counterintuitively, the relationship between CSR and GHRM was found not to be as significant as expected (except for CSR and green analysis/job description), which can be explained through the emerging perspective that CSR and HRM should be linked.

The findings provide insights as to the nature of GHRM and how it is affected by CSR and top management commitment in an emerging economy – in this particular study, Malaysia. Moreover, the observed results highlight the crucial importance of top management commitment in implementing GHRM practices and CSR efficiently in order to create positive environmental performance.

The authors believe that, to date, no study has explored the links between top management commitment, CSR and GHRM using empirical data from Malaysia, as well as that this research is an important emerging topic for researchers, academicians and practitioners.

The interconnectedness of supply chain processes in the aerospace industry requires companies to operate with excellence and the ability to provide robust technologies such as blockchain technology (BCT) to aid supply chain productivity. This paper aims to examine the existing practices of aerospace supply chain management, identify how BCT is used in the aerospace supply chain and whether it affects environmental sustainability.

The qualitative research approach was used, and an online interview with informants was undertaken to collect data.

The findings demonstrate that BCT has a diverse function in achieving sustainable development goals.

The manufacturing sector can be strengthened by successfully deploying BCT in aerospace supply chain management. It contributes to achieving sustainable development objectives by introducing transparency to the system and bolstering market position. BCT enables organisations to gain a competitive edge by attaining innovative operational excellence in the face of the complexity of the supply chain environment.

The findings can serve as a guide for anticipating the effectiveness of BCT in aerospace supply chain management.

This study aims to evaluate the relationship between organizational learning (OL) culture (OLC) and innovation. This study also aims to determine the patterns by which the concepts of OLC/learning organization (LO)/OL and OL capability are interrelated and have an impact on innovation.

This study emphasized the analysis of 42 literature reviews, which contained the variables of OLC/LO/OL and innovation.

A holistic perception of OLC/LO/OL and its relationship with the constructs of innovation was provided. In this case, more reports emphasized the indirect correlation of OLC with innovation, through intervening variables. This indicated that OLC enabled innovation through several internal and external aspects, as well as balancing between flexibility and control in promoting OLC. As part of the OL process, information, acquisition, distribution, interpretation and dissemination were also consistently related to innovation, which escalated the company's ability in becoming an LO. This proved that a group of employees needs to share a similar belief in promoting work unit innovation, because of the importance of continuous formal and informal learning in a well-structured internal organization system. In this case, external factors need to be highly considered, including competitors and clients.

This study is among the earliest to review the literature about the relationship between OLC and innovation. This study also provides recommendations for enhancing OLC in promoting innovation.

Transformational leadership, flexibility and visibility improves project responsiveness to highly unpredictable and impactful events referred as the ‘black swans’ in mega projects (Bloch et al., 2012; Raziq et al., 2018; Zailani et al., 2016). However, these concepts have never been empirically tested in a single framework to determine their significant impact on multi-dimensional project success. The purpose of this paper is to investigate the interactional effects of project flexibility and project visibility on the relationship between transformational leadership and “multi-dimensions” of project success including meeting design goals; impact on customers and benefits to project-based organization.

Empirical data derived from cross-sectional survey of 160 project managers from telecom intensive companies in Pakistan were used to test the conceptual framework developed from recent literature. Partial least squares-structural equation modeling (PLS-SEM) provided detailed analysis of the measurement and structural model. The most recent reflective–formative PLS-SEM approach for higher-order constructs has been introduced.

The results indicate that project managers’ transformational leadership (β = 0.348, p < 0.01), project flexibility (β = 0.221, p < 0.01) and project visibility (β = 0.366, p < 0.01) are positively related with the multi-dimensional project success (second-order formative) construct. Interestingly, the relationship between transformational leadership and project success is influenced by significantly negative moderations established through project flexibility (β = −0.100, p < 0.01) and project visibility (β = −0.093, p < 0.05).

This study in the telecom sector examined the interactional effects of risk mitigating strategies (i.e. project flexibility and project visibility) on the relationship between transformational leadership and multi-dimensional project success. This study creates a basis for future investigations extending to various project types and relevant to different industries especially those involving higher-order (formative) assessments of project success.

The study findings assist project leaders to meet their escalating commitments in achieving project success from a multi-dimensional standpoint. Additionally, this study underscores a renewed perspective of transformational leadership and project outcomes. Despite prevailing understanding developed through prior research, transformational leadership may become less favorable for project success in conditions of increased flexibility and visibility in projects.

Earlier studies have overlooked the multi-dimensional nature of project success (second-order formative) construct, despite several attempts to examine the interplay between transformational leadership and project success. Based on the knowledge gap and non-existence of empirical evidence, the authors introduced and empirically tested the moderating role of project flexibility and project visibility in the relationship between transformational leadership and multi-dimensional project success.

This research aimed to analyze the causality between the four perspectives in the balanced scorecard (BSC) performance and to analyze the different performance of the four perspectives for the two group schools studied.

Quantitative data were processed using Smart PLS 0.3 and an independent sample t-test. Qualitative data collected using open questionnaires on performance achievement strategies and constraints were analyzed using the Leximancer 4.51.

Results showed that innovation and learning performance influenced financial performance and internal business performance. However, innovation and learning performance did not affect customer satisfaction performance. Internal business performance affected financial performance. However, internal business performance did not influence customer satisfaction performance. Customer satisfaction performance did not influence financial performance. Customer satisfaction performance did not mediate the relationship between innovation and learning performance and financial performance. Internal business performance mediated the relationship between innovation and learning performance and financial performance. The two school groups exhibited differing innovation and learning performance, with no difference for the other three perspectives.

The implication of the study is the necessity to create synergy between all parties (school and authorities) to optimize school performance. Improvement in financial performance, especially related to transparency and accountability, will help to improve stakeholders' trust in schools. The government can use the BSC to evaluate public school performance to achieve comprehensive assessment results.

The use of the four perspectives in the BSC performance since public schools in Indonesia have never implemented it.

Recently, much research about the effects of simulation on an organization’s operational performance and efficiency has been carried out. But still, there is a need for lean-based simulations rather than just modelling the system. However, these studies still lack systematization. Consequently, the purpose of this paper is to systematize the literature on lean simulations in the area of production and operations management.

A systematic analysis was performed on 93 articles extracted from the Clarivate Analytics Web of Science (WoS) Core Collection database. The analysis was limited to only articles that come under the “Engineering industrial,” “Engineering Manufacturing” and “Operations Research and Management” subject category in WoS Core Collection database. Later, a bibliometric analysis was integrated with the literature review for deeper literature categorization.

A bibliometric analysis displayed the relevance of selected literature (keywords, authors and sources). The systematic literature review helped to clarify each clusters’ content and purpose.

This study portrays the gaps in the lean simulation integration methods and techniques through a detailed systematic and bibliometric review.

Lean managers can get various insights and ideas on implementing lean and simulation integration methods in real-time process improvement scenarios.

This study demonstrates the best future recommendations for lean based modelling for both consumers and organizations that shall address the social and economic issues.

To the best of the authors’ knowledge, minimal attention has been paid to systematizing the literature on lean simulation in industrial, manufacturing and operations management. This study contributes to close this gap.