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The just‐in‐time (JIT) production system is notable for its emphasis on employee involvement and participation. However, we suggest that the role of participation that is most typically described in the organizational behavior (OB) literature does not match the type of participation practiced in JIT. We introduce a theoretical framework that accounts for these different perspectives: whereas the OB approach treats participation as an intervention and hence as an independent variable, the JIT approach sees it as a side effect of the JIT production system and hence a dependent variable. Understanding of the differences is essential in JIT implementation in the workplace if we are to avoid miscommunication, stress, and disbelief in the system.

Impressed by the remarkable improvement in productivity by Japanese manufacturing companies, many leading American counterparts are implementing their Just‐in‐time (JIT) systems. There are still several key issues to be answered for successful implementation. The results of a field survey on the implementation of JIT systems in US firms are described and some major findings are discussed.

Managerial practices and perceptions in the implementation of just‐in‐time (JIT) principles and concepts are significantly different in the United Kingdom compared to the United States. In a study of 99 companies located throughout both countries, several distinct differences between the US and the UK were found. US companies tend to provide a greater range of training and education for their employees than do UK companies. Incentives for employees are more prevalent in the US than the UK. The UK lags behind the US in taking JIT to the shopfloor. Respondents in both countries indicated comparable dissatisfaction with the implementation process. Problems in implementation included: lack of top management commitment and support, poor communication, lack of cross‐functional planning teams, data accuracy, and supplier participation. In conclusion, JIT tends to be viewed more often as a technique by UK managers whereas their US counterparts practise JIT from a philosophical perspective.

This study investigates user preferences for motivational features aligned with self-determination theory (SDT), emphasizing autonomy, relatedness, and competency. The study seeks to identify the most appealing and effective motivational features in AI-driven mobile apps for fostering autonomy, promoting relatedness, and enhancing feelings of competency in the context of reading comprehension.

Employing a mixed-methods research design based on the self-determination theory, the study used triangulation of methods to enhance the research findings' quality, completeness, validity, and understanding.

Both qualitative and quantitative findings showed similarities in the emphasis on personalization, progress tracking, social interaction, gamification, differences in specific feature preferences, and nuanced recommendations, highlighting the importance of a comprehensive and user-centric development approach.

The study design and sample size might constrain the statistical power and generalizability of the results. The study used a convenience sample of students from one school.

The synthesis of findings suggests the need for a comprehensive development strategy that incorporates both the commonalities and nuanced recommendations from qualitative and quantitative data. Combining the strengths of both findings, a holistic user-centric approach that integrates personalization, progress tracking, social interaction, and gamification is crucial for effective app development. Recognizing that individual preferences may vary, developers should consider tailoring features to accommodate a range of user needs, as indicated by qualitative and quantitative insights.

This comprehensive approach contributes to advancing knowledge in AI-driven mobile applications and their impact on student motivation and reading comprehension in the Philippine context. Also, it provides valuable insights for designers and developers, contributing to creating engaging and user-friendly platforms that enhance reading comprehension skills.

Our study focuses on providing empirical evidence regarding the optimization of podcasting in asynchronous learning. This action research aimed to innovate the delivery of asynchronous classes using differentiated podcasts.

We utilized action research as the research design for the study. Participating in action research entails developing practical knowledge to improve educational practices through specific methods and critical perspectives (Sáez Bondía and Cortés Gracia, 2022). According to Burns (2007), action research involves deliberate interventions usually prompted by identified issues, mysteries or inquiries that individuals in the social setting seek to improve or change. Implementing changes to enhance individuals' actions and understanding within their context is the focus of action research (Kemmis, 2010). The study’s approach is ideal for examining new practices and gaining enhanced theoretical insights (Altrichter et al., 2002). Engaging in action research helps enhance understanding and empowers us to impact and enhance practices through continuous reflection, exploration and action. Through this iterative process, we can continuously enhance our comprehension and make substantial strides toward fostering positive transformation.

The study findings showed an apparent rise in student regulation and engagement and remarkable enhancements in learning outcomes, as demonstrated by differences in pre-test and final exam scores. These results highlight the actual effect of specialized podcasts on self-paced inducing students' self-efficacy in learning. Our research provides valuable insights on effectively incorporating podcasts into education, offering innovations and improvement of practice among educators and institutions adapting to the ever-changing landscape of the educational environment while catering to the diverse needs of the learners. This research is pioneering research catering to the various learning styles of asynchronous learning environments.

Although our current sample offered valuable insights, upcoming studies could gain from more extensive and more diverse participant groups to strengthen the reliability of our results and guarantee broader applicability across various demographics and contexts. Moreover, the length of our intervention may have been relatively brief, which could have limited our ability to evaluate the long-term impact of customized podcasts on learning results. Continued investigation into the long-term effects of these interventions could provide valuable insights into their effectiveness over time and help shape the creation of more lasting educational approaches.

Innovation in asynchronous learning differentiated teaching attuned to the diverse learning styles of the students.

The study promotes equitable education, which eventually promotes learning outcomes of the students.

We created differentiated podcasts tailored to the learning styles of the students. This research is pioneering research catering to the various learning styles of asynchronous learning environments.

This paper aims to realize an in-situ quality inspection system rapidly for new injection molding (IM) tasks via transfer learning (TL) approach and automation technology.

The proposed in-situ quality inspection system consists of an injection machine, USB camera, programmable logic controller and personal computer, interconnected via OPC or USB communication interfaces. This configuration enables seamless automation of the IM process, real-time quality inspection and automated decision-making. In addition, a MobileNet-based deep learning (DL) model is proposed for quality inspection of injection parts, fine-tuned using the TL approach.

Using the TL approach, the MobileNet-based DL model demonstrates exceptional performance, achieving validation accuracy of 99.1% with the utilization of merely 50 images per category. Its detection speed and accuracy surpass those of DenseNet121-based, VGG16-based, ResNet50-based and Xception-based convolutional neural networks. Further evaluation using a random data set of 120 images, as assessed through the confusion matrix, attests to an accuracy rate of 96.67%.

The proposed MobileNet-based DL model achieves higher accuracy with less resource consumption using the TL approach. It is integrated with automation technologies to build the in-situ quality inspection system of injection parts, which improves the cost-efficiency by facilitating the acquisition and labeling of task-specific images, enabling automatic defect detection and decision-making online, thus holding profound significance for the IM industry and its pursuit of enhanced quality inspection measures.

An emergency shelter design as an immediate response to assist people in disaster situations was evaluated in this study. The design experiment concerns the use of recyclable paper tubes and simple construction techniques so that unskilled labor can quickly and readily assemble the shelter where required. The design exercise is a result of a joint effort of a group of architecture students at Inha University with the help of an architect, Shigeru Ban, who is renowned for his innovative work with paper tubes. In the first phase, five different design alternatives for a short term recovery option are proposed and in the second phase, a design was selected and developed on the full scale to demonstrate its design and assembly technique.

The advent of social media has led to the emergence of influencers and the domain of influencer marketing (IM). Despite being a popular and evolving research domain, it still lacks a comprehensive and systematic bibliometric analysis in the field. This study attempts to fill this critical gap by mapping the influence of IM to understand the intellectual structure and propose a future research agenda for scholars working in the domain.

The authors have used VOSviewer and Biblioshiny packages for conducting a variety of analyses such as citation analysis, bibliographic coupling, keyword analysis and three-field plot analysis.

The main findings include identifying six clusters in the domain, i.e. “mechanism of IM,” “measuring the impact of IM,” “persuasive cues in IM,” “likability factors of influencers,” “authenticity of influencers” and “understanding followers.” Future research guidelines have been proposed in each of the six clusters, followed by research and managerial implications, conclusion and limitations.

This study is probably the first attempt at providing a comprehensive bibliometric analysis in the domain using a combination of VOSviewer and Biblioshiny packages.

The worldwide imposition of lockdown measures to control the 2020 coronavirus disease 2019 (COVID-19) outbreak has shifted most executive communications with external stakeholders online, resulting in quick responses from stakeholders. This study aims to understand how presentational styles exhibited in online communication induce immediate audience responses and empirically test the effectiveness of reactive impression management tactics.

The authors analyze presentational styles using MP3 files containing executive utterances during earnings call conferences held by S&P 100-listed firms after June 2020, the quarter after the World Health Organization declared the COVID-19 outbreak a pandemic on March 11, 2020. Using timestamps, the authors link each utterance to a 1-minute interval change in the ask/bid prices of the stocks that occurs a minute after the corresponding utterance begins.

Exhibiting an informational presentation style in earnings calls leads to positive and immediate audience responses. Managers tend to increase their reliance on promotional presentation styles rather than on informational ones when quarterly earnings exceed market forecasts.

Drawing on organizational genre theory, this research identifies the discrepancy between the presentation styles that audiences positively respond to and those that managers tend to exhibit in earnings calls and provides a reactive impression management typology for immediate responses from online audiences.

In the past decade, library literature has witnessed a spate of studies documenting different aspects of Collaborative Virtual Reference Services (CVRS) and a significant amount of valuable information is spread across numerous individual reports. With the support of the Institute for Museum and Library Services, the authors of this chapter undertook a synergistic effort to examine these studies and identify the popular governance models as well as shared challenges and benefits. They conducted a supplementary survey of librarians with personal experience working in CVRS. The authors found that while collaborative structures are myriad, many utilize similar staffing and management strategies. Benefits of CVRS include shared staffing responsibilities, the extension of service hours, professional and community development, access to specialists, and mitigating the risks of a new service, while challenges include answering local questions, cultural differences, and software and technology problems. The literature on CVRS primarily focuses on single collaborations. While these in-depth examinations are valuable, they cannot provide a “big picture” of how libraries may work together to provide a service. As budgets shrink and ICT-facilitated connections grow, collaboration is an option to which many libraries are turning to for the provision of reference as well as other services. The quality of such collaborations may be improved by considering the lessons presented in this chapter, resulting in better service.