Search results

Due to consumption changes in the post-pandemic era, the production safety of agricultural products is affecting global consumers. This paper constructs an evaluation index of the agricultural Internet of things (IOT) traceability system and evaluates it using the dynamic hesitant-fuzzy linguistic term sets (HFLTS)-based DEMATEL method to improve agricultural supply-chain links and improve production quality.

The agricultural IOT traceability index system is constructed using the literature and expert interviews; it comprises 6 first-level indices and 20 second-level indices. The agricultural IOT traceability system is evaluated using the dynamic HFLTS-DEMATEL method.

Producers' awareness of agricultural-production safety (A11) has the most significant impact on production and processing links, while warehouse location and storage capacity (A31) have the largest impact on the circulation link. Inspection authenticity and transparency and quarantine information (A41) have the largest impact on the detection-consumption link. The extent to which the traceability-platform construction is complete (A62) has the largest impact on technical support.

The present paper may be limited to the era of post-pandemic, and it is hard to consider all the indices. Further research can broaden the research context and establish a more comprehensive index system.

The index system constructed in this study will surely help relevant regulatory authorities in China to promote the construction of agricultural IOT traceability system and establish a unified standard, so as to provide a basis for future developers to enter the field. Accordingly, it also can help every subject to identify the key indices of each process in the agricultural-product supply chain and guide relevant departments to conduct targeted information tracking and management. The consumers could also understand the standards of traceable agricultural products and effectively protect their own rights and interests.

The existing literature does not provide an objective, unified standard for measuring a decentralized traceability system or identifying key processes. This study therefore proposes a new evaluation index system and uses a dynamic evaluation method to determine the importance of key indices. This study identifies the most important indices in each process, making it possible to discover, improve, and enhance the quality of agricultural products at a practical level.

This paper aims to comprehensively review the preparation methods of superhydrophobic surfaces (SHPS) for corrosion protection of Mg alloy in recent years.

The preparation methods, wettability and corrosion resistance of SHPS on Mg alloy in the past three years are systematically described in this paper.

Two types of SHPS, including single-layer and multilayer coatings for corrosion protection of Mg alloy are summarized. Preparing multilayered coatings with multifunction is the current trend in developing SHPS on Mg alloy.

This paper reviewed the preparation methods and corrosion resistance of SHPS on Mg alloys. It provides a valuable reference for researchers to develop highly durable SHPS with excellent corrosion resistance for Mg alloys.

The purpose of this paper is to describe and compare the attributes of community dwelling adults with serious mental health illnesses in the USA and Singapore in terms of perception of mental health recovery and its correlates, namely, strengths self-efficacy, resourcefulness and stigma experience.

A convenience sample of 100 participants from each country participated in the study by completing self-administered questionnaires.

The results showed high overall scores in mental health recovery, strengths self-efficacy and resourcefulness in both countries with only a statistically significant difference between both countries in mental health recovery. Participants in both countries also experienced stigma.

The study not only enhanced the focus on mental health and its correlates but also suggested the need for efforts to de-stigmatize mental health conditions which could impact on mental health recovery.

This paper is original and adds on to the knowledge base on mental health recovery and its correlates through the unique opportunity to review information from both countries.

Purpose – A major limitation in cross-cultural research continues to be attempts to compare construct measurements across cultures without adequate conceptual and empirical evidence of the equivalency of the measurement scores. Of significant concern in such studies is the presence of various types of response bias that may systematically differ from one culture to another, resulting in a potential violation of the assumption that measurement scores across cultures are equivalent. The focus of this study is to investigate the role of the response format type, extreme response style (ERS). Most studies have investigated response bias styles using Likert-type scales as response formats, yet it has long been argued that these particular formats tend to result in various types of response style bias, especially in cross-cultural research. Would other scaling devices, such as semantic differential (SD), lessen response style bias in pan-cultural studies? To answer this question, our study employs two types of response formats (i.e., Liker-type and SD) to empirically test for the presence of ERS within each response format style.

Methodology/approach – This chapter takes the form of empirical research using ERS indices to test for the degree of ERS between response formats using samples from a collectivistic culture (i.e., South Korea) and an individualistic culture (i.e., United States).

Findings – Results show that samples from both cultures exhibit greater levels of ERS when using Likert-type scales compared to SD scales. Additionally, this study finds that, when using Likert-type scales, ERS is greater for U.S. respondents than for South Korea respondents. Finally, results show that there is no statistically significant difference in ERS between the two cultural groups when using SD response formats.

Research implications – Findings show that the use of SD response formats eliminates systematic differences in ERS between a collectivist sample and an individualist sample. Therefore, the use of such response formats in future cross-cultural research can greatly diminish the problematic effects of culturally based ERS and lead to greater confidence in the equivalency of measurement scores across cultures.

Originality/value of paper – This study is the first to simultaneously assess culturally based ERS using two types of response formats to investigate the impact of response format on ERS. Furthermore, this study assesses the role of response format on ERS both within and between two distinctly different cultures.

This paper aims to identify the direct impact of fund style drift on the risk of stock price collapse and the intermediary mechanism of financial risk, so as to better protect the interests of minority investors.

This paper takes all the non-financial companies on the Chinese Growth Enterprise Market from 2011 to 2020 as study object and selects securities investment funds of their top ten circulation stocks to study the relationship between fund style drift and stock price crash risk.

Fund style drift is likely to add stock price crash risk. Financial risk is positively correlated with stock price crash risk. Fund style drift affects stock price crash risk via the mediating effect of financial risk, and fund style drift and financial risk have a marked impact on the stock price crash risk of non-state enterprises, yet a non-significant impact on that of state-owned enterprises.

This paper links fund style drift with stock price crash risk in an exploratory manner and enriches the study perspectives of relationship between institutional investors’ behaviors and stock price crash risk, thus enjoying certain academic value. On the one hand, it furnishes a new approach to the academic frontier issue concerning financial risk and stock price crash risk, and proves that financial risk is positively correlated with stock price crash risk. On the other hand, it regards financial risk as a mediating variable of fund style drift for stock price crash risk and further explores different influencing mechanism of institutional investors’ behaviors.

A model for calculating the global overpressure time history of a single cloud detonation from overpressure time history of discrete positions in the range of single cloud detonation is to be proposed and verified. The overpressure distribution produced by multiple cloud detonation and the influence of cloud spacing and fuel mass of every cloud on the overpressure distribution are to be studied.

A calculation method is used to obtain the global overpressure field distribution after single cloud detonation from the overpressure time history of discrete distance to detonation center after single cloud detonation. On this basis, the overpressure distribution produced by multi-cloud under different cloud spacing and different fuel mass conditions is obtained.

The results show that for 150 kg fuel, when the spacing of three clouds is 40 m, 50 m, respectively, the overpressure range of larger than 0.1 MPa is 5496.48 mˆ2 and 6235.2 mˆ2, which is 2.89 times and 3.28 times of that of single cloud detonation. The superposition effect can be ignored when the spacing between the three clouds is greater than 60 m. In the case of fixed cloud spacing, once the overpressure forms continuous effective superposition, the marginal utility of fuel decreases.

A model for calculating the global overpressure time history of a single cloud detonation from overpressure time history of discrete positions in the range of single cloud detonation is proposed and verified. Based on this method, the global overpressure field of single cloud detonation is reconstructed, and the superimposed overpressure distribution characteristics of three cloud detonation are calculated and analyzed.

Semiconductor wafer fabrication (FAB) is recognized as one of the most complex manufacturing systems. A newly built FAB has to pass various audits from its customer before the customer's wafers are initially produced. 5S audit is among one of them. When building a state-of-the-art 300 mm/130 μm FAB, it is common to find hundreds of action items to complete in order to comply with the customer's (auditor) expectations toward 5S practice. The purpose of this paper is to assist wafer fabrication managers in allocating the limited resources on 5S practice to the places that are valued most by their customer.

This study proposes an application of the Kano model with a modified customer satisfaction coefficient (CS coefficient) to effectively prioritize thousands of action items for a wafer fabrication.

Some new discoveries associated with shop floor management that may be neglected by academicians and practitioners are presented here. Surprisingly, greatly substantial non-linear contributions of attractive to-scene management are revealed with little efforts on the 5S practice. These attributes prove to be impressive to customers and typical instructions beneficial to future 5S practice are embraced as well.

A real case drawn from a 300 mm semiconductor wafer FAB in Taiwan is analyzed to demonstrate the effectiveness of this approach.

From the adoption of this proposed methodology, an influential set of specific required checkpoints for 5S practice is transformed from subjective, conceptual and linguistic practice to be identified, quantified and prioritized for semiconductor wafer fabrication under resources constraints to cater the customer's 5S expectations and to generate more attentions in building-up a much more robust scene management.

Semiconductor wafer fabrication (FAB) is recognized as one of the most complex manufacturing systems. A newly built FAB has to pass various audits from its customer before the customer's wafers are initially produced. 5S audit is one of them. In order to comply with customer (auditor) expectations toward 5S practice, this paper assists wafer fabrication managers in allocating the limited resources to places that are valued most by their customer. The paper aims to discuss these issues.

This paper applied Yang's refined Kano model to Ho's 5S checklist to prioritise these checkpoints for a FAB. An empirical study based on Ho's 5S checklist from experienced internal auditors (respondents) to prioritise 5S activities was explored to justify its feasibility for a FAB and importance-satisfaction for customer.

An empirical study in a case FAB demonstrated how the refined model prioritised 5S activities based on Ho's 5S checklist. The result of this study further showed that quality attributes possess different identities, which could offer management more framable scopes to implement 5S practice and sustain 5S scene management.

Since this empirical study was focused on a 300-mm wafer fabrication company, the results and findings may not generally explain other wafer-size fabrications.

This study was applied to a real-world case of a newly built 300-mm semiconductor fabrication in Taiwan. It is a straightforward bridge to link a methodology in a practical manner to disseminate information to both researchers and practitioners.

From the adoption of the refined Kano model, specific required check points for 5S practice are transformed from subjective, conceptual and linguistic practice to be identified, quantified and prioritised for semiconductor wafer fabrication under resources constraints to cater customer's 5S expectations and to generate more attention in building-up a much more robust scene management. This paper provided a systemic way to prioritise 5S activities for a semiconductor wafer fabrication.

By applying Kano model, this study attempts to investigate the categorization of home delivery quality elements derived from service convenience model and their impact on customer satisfaction.

In this paper, the research framework and hypotheses are constructed through a literature review. Kano model is applied to classify the home delivery service elements into five quality attributes and gender is included to understand the difference of customer perception on the obtained quality elements. Statistical analyses of the collected questionnaires were computed based on the 476 effective responses regarding the home delivery service.

The results confirm that customers' perception of home delivery service elements are classified into one‐dimensional and must‐be attributes by Kano model, while this study contributes to the creation of attractive elements that significantly affect the customer satisfaction and owning an enormous potential to further differentiate competitors. Customer satisfaction is positively correlated with different types of service convenience. It also suggests that the customers with different gender have significantly different views to quality elements of home delivery service.

The major contribution of this study is that it attempts to examine the categorization of home delivery quality elements derived from service convenience model and their impact on customer satisfaction.