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Authorities have set up numerous security checkpoints during times of armed conflict to control the flow of commercial and humanitarian trucks into and out of areas of conflict. These security checkpoints have become highly utilized because of the complex security procedures and increased truck traffic, which significantly slow the delivery of relief aid. This paper aims to improve the process at security checkpoints by redesigning the current process to reduce processing time and relieve congestion at checkpoint entrance gates.

A decision-support tool (clearing function distribution model [CFDM]) is used to minimize the effects of security checkpoint congestion on the entire humanitarian supply network using a hybrid simulation-optimization approach. By using a business process simulation, the current and reengineered processes are both simulated, and the simulation output was used to estimate the clearing function (capacity as a function of the workload). For both the AS-IS and TO-BE models, key performance indicators such as distribution costs, backordering and process cycle time were used to compare the results of the CFDM tool. For this, the Kerem Abu Salem security checkpoint south of Gaza was used as a case study.

The comparison results demonstrate that the CFDM tool performs better when the output of the TO-BE clearing function is used.

The efforts will contribute to improving the planning of any humanitarian network experiencing congestion at security checkpoints by minimizing the impact of congestion on the delivery lead time of relief aid to the final destination.

The purpose of this study is to evaluate knowledge sovereignty and its implication for clearing the mental cobweb through library engagement.

Review of literature

Knowledge sovereignty refers to people’s ability and aptitude to control, access and navigate information to enable them make informed decisions and channel their activities toward right choices. Library engagements within the new normal of knowledge sovereignty center on their knowledge-centric approach to create, scale, reframe and disseminate both new and existing knowledge to afford quick and gainful use within organizations and the larger society in a short period of time, thus eliminating the dilemma of digital information overload and its complexities, uncertainties and oftentimes, chaos.

This study comply with copyright requirement.

Government organisations, small and medium-sized businesses, education, and the entertainment industries all use multimedia technology to communicate information and ideas across digital, print, catalogue, and advertising mediums. Any message delivered by businesses, whether digital or printed graphics, images, text, movies, or animation, is more likely to be accepted by the target audience. The financial sector is no exception. Multimedia technology refers to activities involving computers, software development, and online media distribution. Professionals and experts in computer or software development use multimedia technology to create a variety of mechanisms including product demos, web pages, news sites, and presentations to attract attention or convey any message to a specific audience. Multimedia technology such as multimedia software, transaction processing, electronic payments, voicemail, and networked communication required banks and the financial sector to adopt new practices for delivering banking services and making the financial system more user-friendly for consumers and the financial industry’s operation. Banks and other financial institutions are compelled to innovate as computer technologies advance to maintain competitiveness. Multimedia technology offers lower occupancy costs with a smaller staff and lower transaction processing expenses. New technologies in the financial sector are replacing traditional methods of operation because multimedia technology makes work simpler, faster, and more effective. The industry is trying to switch to a self-service model through technology by providing the same level of convenience at a lower price.

Overcooking and overbuying are two main causes of food waste in households. Therefore, this study tests whether two interventions, aimed at cooking planning versus purchasing planning, can reduce food waste in households by using self-report direct measurements. Because measuring household food waste can impact how much food is wasted, the effects of the mere measurement of household food waste over time were assessed as well.

A sample of 80 households was distributed into three groups (control, purchasing planning and cooking planning) and their household food waste was weighed over a period of 166 days. After the first 91 days, behavioral interventions were delivered to purchasing planning and cooking planning groups. Repeated measures ANOVA, linear regression and a two-level mixed model were used for data analysis.

Results showed that the interventions were not effective in influencing the participants to reduce household food waste beyond the reduction in the control group. However, there is evidence of a mere measurement effect that caused household food waste reduction over time.

This study's experimental period is longer than most of the studies that tested behavioral interventions for household food waste reduction. This enabled the authors to assess the effects of repeated measurement and discover that measurement alone can bring behavioral change.

Know your customer (KYC), accounting standards, issuance, clearing, and trade settlement became the major barrier to implement accounting, accountability and assurance process in supply chain finance (SCF). Blockchain technology features have the potential to solve accounting problems. This research focuses on exploring how blockchain technology provides solutions to overcome the barriers of accounting process in SCF. The benefits, opportunities, costs and risks related to blockchain adoption are also explored.

Multi-case study and qualitative methods are used with a framework based on blockchain role to overcome the accounting process barriers. Ten blockchain projects in SCF and 29 interviews of participants as a unit of analysis are considered.

The findings indicate that blockchain technology offers solutions to solve accounting, accountability and assurance problems in SCF. Validity, verification, smart contracts, automation and enduring data on trade transactions potentially solve those barriers. However, it is also necessary to consider costs such as implementation, technology, education and integration costs. Then there are possible risks such as regulatory compliance, operational, code development and scalability risk. This finding reflects the current status of blockchain technology roles in SCF.

This study unveils blockchain's SCF accounting potential, emphasizing multi-case method limitations and future research prospects. Diverse contexts challenge findings' applicability, warranting cross-industry studies for deeper insights. Addressing selection bias and integrating quantitative measures can enhance understanding of blockchain's accounting impact.

Accounting professionals can get an idea of the future direction and impact of blockchain technology on accounting, accountability and assurance processes.

This study provides initial findings on the potential, costs and risks of blockchain that is beneficial for parties involved in SCF, especially for banks and insurance underwriters. In addition, the findings also provide direction for the contribution of blockchain technology to accounting theory in the future.

The study aims to determine the extent of COVID-19’s impact on the libraries and information centers within Benguet. It identified the key differences in the effect of the pandemic on each type of library: public, special, school and academic. It recalled and documented the challenges faced by libraries and librarians. It determined which aspects of their library were affected and how they were modified in terms of their policies, personnel, physical space, services, collection, infodemic response and marketing.

The study used the qualitative descriptive method approach, specifically narrative research design and conducted online focus group discussions in which 14 librarians with managerial or supervisory functions participated. This method was used to explore the topic holistically by using qualitative inquiry. It best suited the purpose of fully understanding the experiences of libraries during the pandemic. The recorded online focus group discussions conducted through Zoom were reviewed and analyzed to identify key themes and responses from the participants. The themes identified from the thematic analysis were further validated with the participants through correspondence, chats or e-mails.

The findings showed that libraries were faced with challenges brought on by the lack of a written policy for the pandemic response, a lack of information communication and technology skills and resources, strict requirements on physical setup for pandemic compliance, budget cuts or realignments and delayed procurement, misinformation and users’ lack of awareness of the new services offered by the library.

The study focused on the pandemic experiences of libraries and information centers in Baguio-Benguet, which was hailed as a model for local pandemic response, through the lenses of librarians with supervisory roles or functions.

Libraries could reflect on their experiences in this pandemic to plan for future strategies that would be best implemented in situations where face-to-face services are not allowed.

This study presented various best practices from different library institutions that could be emulated in the future. Many of these are still relevant regardless library services are going back to normal.

The agriculture industry has a considerable impact on Malaysia’s economy, as seen by its contribution of roughly 8.2% of gross domestic product in 2018 and its potential to absorb 11.09% of Malaysian labor in the same year. This study aims to simulate rising output in a system model of sustainable and profitable crude palm oil (CPO) supply chain management (SCM) and to formulate policy solutions to build sustainable and profitable SCM of Malaysian CPO.

This research included both primary and secondary data. This study used the dynamic system model to simulate palm oil land expansion, replanting policies and environmentally friendly growing techniques.

This study’s findings suggest that the dynamic system model of Malaysia’s CPO’s sustainable and profitable SCM is valid when its structure and performance are tested. The fifth scenario provides the best results, with the most significant net benefit value compared to the other scenarios.

The ideal policy alternative is replanting sustainable agricultural practices without burning technologies during new land clearing to achieve the best net advantages.

Financial technologies form the heart of considerable disruptive innovation. Fintech is the emerging financial infrastructure for modern business. Big data are the feedstock for artificial intelligence (AI) that drives many fintech sectors – start-up finance, commodities and investment instrumentation, payment systems, currencies, exchange markets/trading platforms, market-failure response forensics, underwriting, syndication, risk assessment, advisory services, banking, financial intermediaries, transaction settlement, corporate disclosure, and decentralized finance. This chapter demonstrates how analyzing big data, largely processed through cloud computing, drives fintech innovations, scholarship, forensics, and public policy. Despite their apparent virtues, some fintech mechanisms can externalize various social costs: flawed designs, opacity/obscurity, social media (SM) influences, cyber(in)security, and other malfunctions. Fintech suffers regulatory lag, the delay following the introduction of novel fintechs and later assessment, development, and deployment of reliable regulatory mechanisms. Big data can improve fintech practices by balancing three key influences: (1) fintech incentives, (2) market failure forensics, and (3) developing balanced public policy resolutions to fintech challenges.

This study aims to explore the implementation of artificial intelligence (AI) in archival practice by presenting the thoughts and opinions of working archival practitioners. It contributes to the extant literature with a fresh perspective, expanding the discussion on AI adoption by investigating how it influences the perceptions of digital archival expertise.

In this study a two-phase data collection consisting of four online focus groups was held to gather the opinions of international archives and digital preservation professionals (n = 16), that participated on a volunteer basis. The qualitative analysis of the transcripts was performed using template analysis, a style of thematic analysis.

Four main themes were identified: fitting AI into day to day practice; the responsible use of (AI) technology; managing expectations (about AI adoption) and bias associated with the use of AI. The analysis suggests that AI adoption combined with hindsight about digitisation as a disruptive technology might provide archival practitioners with a framework for re-defining, advocating and outlining digital archival expertise.

The volunteer basis of this study meant that the sample was not representative or generalisable.

Although the results of this research are not generalisable, they shed light on the challenges prospected by the implementation of AI in the archives and for the digital curation professionals dealing with this change. The evolution of the characterisation of digital archival expertise is a topic reserved for future research.

Self-help groups (SHGs) are formed by the tribal people to access finance through SHG bank linkage programme. The efforts to govern self-help groups (SHGs) are challenged by the absence of adequate bookkeeping and regular meetings, hindering effective governance despite all endeavors. The members of the groups are tribal people from the marginalised sections of society, and they are unable to maintain the books of accounts and keep track of their money because of illiteracy and banks being at far distance from their place of abode. Digitisation of SHGs has a vast impact on the efficiency of the groups and their financial sustainability. This chapter wishes to look at the digitisation initiative to transition the records of SHGs from manual to electronic mode, where the accounts will be visible to all the members. However, digital literacy is a big challenge, and this chapter aims to look at the challenges in digitisation of group.