Hsin-Te Wu and Kuo Cheng Chung
This study aims to focus on the Artificial Intelligence of Things (AIoT) course. As AIoT has many theoretical theories and students usually have little interest in learning the…
Abstract
Purpose
This study aims to focus on the Artificial Intelligence of Things (AIoT) course. As AIoT has many theoretical theories and students usually have little interest in learning the protocols, the experiments can help stimulate their curiosity. Due to the environmental factor, the teaching requires assistive videos and Problem-Based Learning (PBL) to understand students' learning conditions.
Design/methodology/approach
The experimental design generally follows the course theories going from easy to complex, and students can extend the acquired concepts to other project development, yet, without in-depth knowledge about the experiment, resulting in limited creativity.
Findings
The assessment analysis can reveal whether students have grown from the teaching. The final analysis at the end of the term can show learners' conditions; meanwhile, students can deliver their level of satisfaction. The click-and-mortar teaching environment provided in this research can improve learning setting and quality, solidifying learners' proficiency.
Originality/value
The research result has proved the feasibility of the proposed method. Apart from showing the experimental steps, the video also explains the corresponding theories, helping students reinforce experimental knowledge and boost learning willingness.
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Keywords
Po-Yen Lee, Meng-Ling Wu, Cheng-Chung Kuo and Chun-Sheng Joseph Li
The purpose of this paper is to provide a more robust understanding of how to deploy multiunit organizations’ dynamic capabilities (DCs) by examining the roles of embedded social…
Abstract
Purpose
The purpose of this paper is to provide a more robust understanding of how to deploy multiunit organizations’ dynamic capabilities (DCs) by examining the roles of embedded social (structural and relational) capital and knowledge archetype (exploitative and exploratory) learning.
Design/methodology/approach
This study uses 315 multiunit samples and structural equation modeling to determine the relationships among the variables.
Findings
The analysis reveals that, while embedded structural social capital exerts a positive influence on exploratory knowledge learning in multiunit organizations, embedded relational social capital exerts a positive influence on knowledge archetype (exploitative and exploratory) learning. Knowledge archetype (exploitative and exploratory) learning also positively influences DC deployment in multiunit organizations.
Research limitations/implications
Few DCs studies have empirically examined the roles of embedded social (structural and relational) capital and knowledge archetype (exploitative and exploratory) learning in multiunit organizations. The results of this study address the failure of past theoretical perspectives on DCs to fully specify and verify the links between the roles of embedded social (structural and relational) capital and knowledge archetype (exploitative and exploratory) learning.
Originality/value
This paper offers one practical trajectory for DC deployment in modern multiunit organizations and offers two contributions to the theoretical perspectives on DCs. First, it identifies the critical role of embedded social capital in enabling knowledge archetype learning and DC deployment, which had never been fully specified or verified in the DCs literature. Second, it identifies the importance of DCs’ deployment trajectory in multiunit organizations’ routine processes.
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Mu-Chen Chen, Chung-Cheng Lu and Yi-Ching Liu
The purpose of this paper is to deal with an optimal consolidation problem for fresh agricultural products (e.g. fruits and vegetables) in a multi-temperature joint distribution…
Abstract
Purpose
The purpose of this paper is to deal with an optimal consolidation problem for fresh agricultural products (e.g. fruits and vegetables) in a multi-temperature joint distribution (MTJD) system that is developed to resolve the challenge of timely delivery of small and diverse shipments in food cold chains.
Design/methodology/approach
An integer programming optimization model is developed to consolidate a set of agricultural shipments with different storage requirements into a number of distinct containers according to the classification criteria. The formulated model for consolidating fresh agricultural products is evaluated using numerical examples.
Findings
Critical factors that affect the quality or shelf life of fresh agricultural products are examined to form the criteria for classifying the storage requirements of these products. The formulated model can minimize the consolidation cost and the loss of product value due to a reduction in shelf life after consolidation.
Research limitations/implications
Although the decision model for product consolidation developed in this paper takes into account practical concerns as much as possible, some additional conditions in the cold chain of fresh fruits and vegetables can be included to further enhance the application of the proposed consolidation model.
Practical implications
Provided that the container environment is appropriately controlled, the shelf life of fresh fruits and vegetables can be maintained during the logistics process. As a result, product quality can be managed to reduce product loss.
Originality/value
This paper adopts temperature, relative humidity and ethylene production, which generally affect the quality and shelf life of fresh agricultural products, as the main factors for determining the product consolidation. It is among the first to deal with the optimal consolidation of fresh agricultural products in the MTJD system with the consideration of product shelf life.
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Draws on the concept of “mixed embeddedness” to challenge the popular culturalistic view that Chinese migrants enter the catering business simply because they are Chinese. Based…
Abstract
Draws on the concept of “mixed embeddedness” to challenge the popular culturalistic view that Chinese migrants enter the catering business simply because they are Chinese. Based on qualitative interview results and observations from fieldwork conducted in German cities, illustrates first the dynamic nature of the Chinese restaurant trade. Proceeds to explore how important factors such as Chinese migrants’ access to alternative employment, the development of in‐ and out‐migration policies in Germany and East Asia, the changing consumer demand and market conditions, as well as availability of set‐up capital, shape the volume and forms of Chinese restaurant trade, the kinds of food served, hiring practices and other business strategies.