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Bangladesh's ready-made garment (RMG) industry plays a vital role in the economic growth of this country. As the global trend in the fashion market has introduced a high-mix, low-volume ordering style, manufacturers are facing an increased number of changeovers in their production systems. However, most of the Bangladeshi RMG manufacturers are not yet ready to respond to such small orders and to improve the flexibility of their production systems. Consequently, the industry is falling behind in global market competition. Thus, this study aims to advance the current performance of RMG manufacturing operations to respond to the fast-fashion industry's challenges effectively using quick changeover.

In this study, a Single-Minute Exchange of Dies (SMED) is applied to attain quick changeover following the best practices of lean manufacturing.

This study examined the performance of the SMED technique to reduce changeover time in two case organisations. The changeover time was reduced by 70.76% from 434.56 min to 127.08 min and 42.12% from 2,664 min to 1,542 min for the case organisations, respectively. The results of this study show that companies require improved changeover times to address the demand for high-mix, low-volume orders.

This study will certainly guide practitioners of the RMG industry to adopt SMED to reduce changeover time to meet small batch production.

This study aims to examine the adoption of artificial intelligence (AI) to enhance records management practices at the Gauteng Department of Education (GDE) in South Africa.

The study used a convergent mixed-methods research approach, employing interviews and questionnaires for data collection. Analysis of the collected data involved both verbatim and statistical methods, and the results were presented through tables and figures.

The study revealed that AI can proficiently and effectively execute all records management practices across the entire records lifecycle.

Consequently, the study proposed a framework that can be used as a guiding tool for the implementation and use of AI. This framework aims to enhance records management processes, not only within the GDE but also within the broader archives and records management industry.

Asynchronous Video Interviews (AVIs) incorporating Artificial Intelligence (AI)-assisted assessment has become popular as a pre-employment screening method. The extent to which applicants engage in deceptive impression management (IM) behaviors during these interviews remains uncertain. Furthermore, the accuracy of human detection in identifying such deceptive IM behaviors is limited. This study seeks to explore differences in deceptive IM behaviors by applicants across video interview modes (AVIs vs Synchronous Video Interviews (SVIs)) and the use of AI-assisted assessment (AI vs non-AI). The study also investigates if video interview modes affect human interviewers' ability to detect deceptive IM behaviors.

The authors conducted a field study with four conditions based on two critical factors: the synchrony of video interviews (AVI vs SVI) and the presence of AI-assisted assessment (AI vs Non-AI): Non-AI-assisted AVIs, AI-assisted AVIs, Non-AI-assisted SVIs and AI-assisted SVIs. The study involved 144 pairs of interviewees and interviewers/assessors. To assess applicants' deceptive IM behaviors, the authors employed a combination of interviewee self-reports and interviewer perceptions.

The results indicate that AVIs elicited fewer instances of deceptive IM behaviors across all dimensions when compared to SVIs. Furthermore, using AI-assisted assessment in both video interview modes resulted in less extensive image creation than non-AI settings. However, the study revealed that human interviewers had difficulties detecting deceptive IM behaviors regardless of the mode used, except for extensive faking in AVIs.

The study is the first to address the call for research on the impact of video interview modes and AI on interviewee faking and interviewer accuracy. This research enhances the authors’ understanding of the practical implications associated with the use of different video interview modes and AI algorithms in the pre-employment screening process. The study contributes to the existing literature by refining the theoretical model of faking likelihood in employment interviews according to media richness theory and the model of volitional rating behavior based on expectancy theory in the context of AVIs and AI-assisted assessment.

As information providers, libraries select, acquire, process, store, preserve and distribute information resources to customers. Innovative technologies like the blockchain have posed major challenges to education and library services. The main goal of the application of blockchain technology (BT) in libraries and information centers is to give all possible users in participating library systems unrestricted access to digital content and print collections while minimizing risk to protect each user’s privacy and identification. A fresh and dependable technology called blockchain aids in the security, reliability and preservation of information. The 21st century’s change agents’ libraries are implementing new technologies to deliver the most knowledge possible in the shortest amount of time. It cannot be overstated how this technology has the potential to transform library services, operations and functions.

An extensive review of literature on “smart libraries” was carried to ascertain the emerging technologies in the smart library domain. Literature was searched against various keywords like smart libraries, smart technologies, Internet of Things, electronic resource management, data mining, artificial intelligence, ambient intelligence, BT and augmented reality. Later on, the works citing the literature on smart libraries were also explored to visualize a broad spectrum of emerging concepts about this growing trend in libraries.

Blockchain is one of the rapidly expanding and evolving technology. Librarians and library need to understand the opportunities, benefits and risks of blockchain. Perhaps in libraries, BT will become a useful tool for storing, storing and sharing information. This technology also aids in the acquisition of library materials that can improve collection maintenance. Blockchain can protect user and patron records and enhance the privacy of user and research data. This technology also improves collaboration among library patrons and staff. BT is increasingly being adopted by libraries in various ways. It creates an improved metadata system to protect digital-first selling rights, peer-to-peer sharing and more. Apart from what have been already discussed, this technology is perfect for academia and perfect for achieving potential pace in libraries. It can be used to safeguard library user records, retrieve libraries document and improve collection management. A special bulk request enables identification and discovery of unique holdings. Scientific writing is another good use case for blockchain, where researchers can record and time-stamp ideas and spread information. BT presents a significant opportunity for libraries to enhance user privacy, enhance collaboration and transform the manner in which libraries and communities collaborate. The University of San Jose in Toronto, the Reference Library, the Suffolk Collaborative Library System and many other libraries are exploring this technology, and various other libraries are set to follow suit.

The paper tries to highlight the usage of blockchain technologies in the libraries and information center setups for the efficient working of library setups. Blockchain is one of the emerging technologies that have the potential to bring the technology revolution.

The purpose of this paper is to study the relationship between the attitudes of principals, municipality-specific aspects of reform implementation, and principals’ resistance to change.

The collected data are based on a multi-level structure. The levels of analysis are at the school level (school principal) and at the municipality level. Therefore, the research question posed in this study is examined using a quantitative multi-level analysis.

The results show that both the personal attitudes of school principals and adjustments made by the school presidency of the municipality affect the school principals’ willingness to change.

The study’s focus on schools limits the ability to generalize the results to apply to other organizations. Nevertheless, schools are an important object of study for change management research because they share crucial organizational characteristics with other organizations in the public sector.

Studies that have looked at the change reactions of leaders in the public school sector have rarely examined individual and collective factors together. We focus on both, since the municipalities in many countries have a certain amount of leeway in implementing reforms, meaning that their involvement is of central importance for a successful change process.

There are two main objectives in this study. First, we aim to develop a set of constructs for health task management support (HTMS) features to evaluate which health-related tasks are supported by mobile health application (mHealth app) functions. Second, drawing on innovation resistance theory (IRT), we examine the impacts of the newly developed HTMS dimensions on perceived usefulness, alongside other barrier factors contributing to technology anxiety.

Using a mixed-method research design, this research seeks to develop new measurement scales that reflect how mHealth apps support older adults’ health-related needs based on interviews. Subsequently, data were collected from older adults and exploratory factor analysis was used to confirm the validity of the new scales. Partial least squares structural equation modeling (PLS-SEM) was used to analyze survey data from 602 older adults.

The PLS-SEM results indicated that medical management task support, dietary task support, and exercise task support were positively associated with perceived usefulness, while perceived complexity and dispositional resistance to change were identified as antecedents of technology anxiety. Perceived usefulness and technology anxiety were found to positively and negatively influence adoption intention, respectively.

This study enriches the information systems literature by developing a multidimensional construct that delineates how older adults’ health-related needs can be supported by features of mHealth apps. Drawing on IRT, we complement the existing literature on resistance to innovation by systematically examining the impact of five types of barriers on technology anxiety.

This study aims to improve detection efficiency of fluorescence biosensor or a graphene field-effect transistor biosensor. Graphene field-effect transistor biosensing and fluorescent biosensing were integrated and combined with magnetic nanoparticles to construct a multi-sensor integrated microfluidic biochip for detecting single-stranded DNA. Multi-sensor integrated biochip demonstrated higher detection reliability for a single target and could simultaneously detect different targets.

In this study, the authors integrated graphene field-effect transistor biosensing and fluorescent biosensing, combined with magnetic nanoparticles, to fabricate a multi-sensor integrated microfluidic biochip for the detection of single-stranded deoxyribonucleic acid (DNA). Graphene films synthesized through chemical vapor deposition were transferred onto a glass substrate featuring two indium tin oxide electrodes, thus establishing conductive channels for the graphene field-effect transistor. Using π-π stacking, 1-pyrenebutanoic acid succinimidyl ester was immobilized onto the graphene film to serve as a medium for anchoring the probe aptamer. The fluorophore-labeled target DNA subsequently underwent hybridization with the probe aptamer, thereby forming a fluorescence detection channel.

This paper presents a novel approach using three channels of light, electricity and magnetism for the detection of single-stranded DNA, accompanied by the design of a microfluidic detection platform integrating biosensor chips. Remarkably, the detection limit achieved is 10 pm, with an impressively low relative standard deviation of 1.007%.

By detecting target DNA, the photo-electro-magnetic multi-sensor graphene field-effect transistor biosensor not only enhances the reliability and efficiency of detection but also exhibits additional advantages such as compact size, affordability, portability and straightforward automation. Real-time display of detection outcomes on the host facilitates a deeper comprehension of biochemical reaction dynamics. Moreover, besides detecting the same target, the sensor can also identify diverse targets, primarily leveraging the penetrative and noninvasive nature of light.

The purpose of this study of M&A in relation to sustainability aims to create synergies that drive both financial performance and positive environmental and social outcomes, aligning business objectives with broader societal goals. The study can help in understanding the structure, collaborations and recent keywords and topics that are related to M&A in relation to sustainability.

This study applies comprehensive bibliometric analysis on performance analysis and science mapping of the scholarly literature related to M&A in relation to sustainability published between 2004 and 2024 in 196 publications on Web of science and Scopus by leveraging biblioshiny within R Studio and the VOS viewer software for enhanced visualization and interpretation of the bibliometric data.

This study helps to find out the co-occurrence analysis, bibliographical coupling and keyword analysis. Moreover, it scrutinizes patterns of collaboration among researchers, institutions and nations, shedding light on the global reach and influence of scholarly contributions in the field of M&A in relation to sustainability.

This study identified trends can help scholars, policymakers and business experts to study M&A through the lens of sustainability.

This bibliometric study of M&A in relation to sustainability can drive positive change by promoting responsible business practices, fostering innovation and creating value for both shareholders and society as a whole.

The paper concludes by finding emerging topics of the research and future directions, it gives a good input to extend the line on the graph. This study provides overview of 20 years of research on M&A in relation to sustainability and discusses its findings to identify the research gap.

Hybrid organizations offer an innovative approach to promote social impact. However, hybrids face the challenge of reconciling the dual mission (social/financial). The purpose is to understand how hybrids and information and communication technologies (ICT) interact, unveiling opportunities ICT offers for hybrids regarding the dual mission.

We used affordance theory and adopted a predominantly inductive approach inspired by the so-called “Gioia template.” The research design was based on semi-structured interviews with entrepreneurs, specialists, and people working in institutes, foundations, and accelerators, i.e. social actors operating in the hybrid organizational ecosystem in Brazil.

Our findings suggest that the affordances of the relationship between organizational and ICT resources act as facilitators. A theoretical contribution is conceptualizing “affordance of conciliation,” indicating how ICT resources might facilitate achieving social/financial goals, thus minimizing efforts to reconcile mission duality. Furthermore, we list categories and aggregate dimensions and elucidate how results aligned with goals are generated through the process-based model. We show that ICT has a significant role in helping hybrids overcome challenges.

Our results extend affordance theory with theoretical and practical implications. We highlight fundamental components that contribute to proposing the new concept of “affordance of conciliation.” We contribute to information systems literature by better understanding the social interactions between ICT and hybrids. Finally, we help hybrids understand the support of ICT resources to fulfill their dual mission.

This paper contends that data generated by research on supervision are often taken as authentic data. Through an examination of studies that use audio/visual recordings to investigate supervision, the paper both promotes and problematises the recording of supervision meetings as a useful technique for doctoral supervision research. This paper aims to encourage a critical evaluation of methodological choices in research on supervision, and both promotes and problematises the practice of recording supervision meetings to enhance nuance in research on supervision practices.

This paper reviews how prior studies have adopted different research methods to construct the space of supervision, and how the chosen methods have been justified. The paper draws on data from an empirical study which included interviews with supervisors in China, based on recordings of their supervision meetings.

Presenting a single case with one participant to explore the recording and interview process in detail, this study demonstrates how hearing the supervision meeting can present a multi-faceted picture of supervision practice. This multi-faceted picture underpins the alternative understanding of authentic data that this study unpacks.

Drawing on the tradition of poststructuralist critiques of traditional research methodology, this study is presented as a methodological paper, with a core aim of interrogating and problematising methodological decisions taken in studies of doctoral supervision. This study reviews research methods that were used in prior studies on supervision, investigating how the chosen methods were justified and how these methods affect the resultant construction of supervision.