Tong Rong Chen and Que King Wei
The purpose of this paper is to investigate isoflavone aglycone concentrations in commercial soybean and soybean products in Taiwan.
Abstract
Purpose
The purpose of this paper is to investigate isoflavone aglycone concentrations in commercial soybean and soybean products in Taiwan.
Design/methodology/approach
Isoflavone concentration was determined by high performance liquid chromatography method. The samples included soybeans, non‐fermented (tofu, soymilk, soybean meal) and fermented (natto, miso and sufu) soybean products.
Findings
The total isoflavone concentration in soybean and soybean products was approximately 109‐508 mg/100 g. Isoflavone aglycones had the concentration of 2‐19 per cent of total isoflavones in soybeans and non‐fermented soybean products. There was a broad diversity of isoflavone aglycones at 4‐94 per cent of total isoflavones in fermented soybeans.
Originality/value
The study provides new information about distribution of bioactive isoflavone aglycones in soybean and soybean products. Isoflavone glucosides were the major components in all soybean and non‐fermented products, while isoflavone aglycones were abundant in sufu and partially in miso of soybean fermented products. The information should be used to establish that positive consumption of bioactive aglycones isoflavones may be more efficient for improving the physiological functions for human health.
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Ningyu Tang, Xingshan Zheng and Chiyin Chen
This paper aims to apply and integrate the existing literature of inclusion to develop a multi-level theory of organizational inclusion for the more and more diverse workforce.
Abstract
Purpose
This paper aims to apply and integrate the existing literature of inclusion to develop a multi-level theory of organizational inclusion for the more and more diverse workforce.
Design/methodology/approach
This paper first analyzes the issue of workforce diversity in China, and then reviews the concept of organizational inclusion. After that, this paper develops a multi-level model of organizational inclusion catering to Chinese diversity issue.
Findings
This paper outlines a series of propositions on how organizational, group, interpersonal and individual factors affect inclusion at both organizational and individual levels, and the consequences of inclusion in the workplace.
Originality/value
This paper is the first research to discuss the inclusion management in Chinese context. This paper proposes a multi-level theoretical model of organizational inclusion to guide empirical studies on the integration of the diversity in workplace in China.
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Yuqi Ren, Kai Gao, Tingting Liu, Yuan Rong and Arunodaya Mishra Raj
The main goal of this paper is to present a synthetic multiple criteria group decision-making (MCGDM) methodology for assessing the enterprise digital maturity with linear…
Abstract
Purpose
The main goal of this paper is to present a synthetic multiple criteria group decision-making (MCGDM) methodology for assessing the enterprise digital maturity with linear Diophantine fuzzy (LDF) setting.
Design/methodology/approach
This paper utilizes the presented LDF generalized Dombi operator to aggregate assessment information of experts. The developed combined weight model through merging the rank sum (RS) model and symmetry point of criterion (SPC) method is used to ascertain the comprehensive importance of criterion. The evaluation based on distance from average solution (EDAS) approach based upon regret theory (RT) is presented to achieve the sorting of candidate enterprises.
Findings
Firstly, the proposed method has strong stability. Secondly, the proposed method takes into consideration the psychological behavior of experts during the decision-making process which further enhances the rationality of the decision results. Finally, the proposed method integrates expert and criterion weight determination models which provides a practical evaluation framework for assessing the digital maturity of enterprises. The research outcomes confirm that the proposed approach fails to resolve the decision problems with unknown weight information flexibly, but also reflect the psychological behavior of expert in decision process. The presented weight approach also provides a rational algorithm to ascertain the weight more accurate.
Originality/value
A composite LDF group decision-making approach is presented by aggregating the proposed generalized Dombi operator, combined weight model and the EDAS model, which make the outcome more reasonable. Sensitivity analysis and comparison study are conducted to reflect the superiority of the proposed approach.
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Ying Yi‐rong, Lin Yi and Wu Chong‐feng
The dynamic measure of risk problem in a incomplete market is discussed when stock appreciation rates are uncertain. Meanwhile, a related stochastic game problem is studied. The…
Abstract
The dynamic measure of risk problem in a incomplete market is discussed when stock appreciation rates are uncertain. Meanwhile, a related stochastic game problem is studied. The value of a stochastic optimal control is regarded as a reasonable measure of the risk. The form of the optimal objective is obtained by employing the tools of BSDE theory.
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Yanghong Li, Yahao Wang, Yutao Chen, X.W. Rong, Yuliang Zhao, Shaolei Wu and Erbao Dong
The current difficulties of distribution network working robots are mainly in the performance and operation mode. On the one hand, high-altitude power operation tasks require high…
Abstract
Purpose
The current difficulties of distribution network working robots are mainly in the performance and operation mode. On the one hand, high-altitude power operation tasks require high load-carrying capacity and dexterity of the robot; on the other hand, the fully autonomous mode is uncontrollable and the teleoperation mode has a high failure rate. Therefore, this study aims to design a distribution network operation robot named Sky-Worker to solve the above two problems.
Design/methodology/approach
The heterogeneous arms of Sky-Worker are driven by hydraulics and electric motors to solve the contradiction between high load-carrying capacity and high flexibility. A human–robot collaborative shared control architecture is built to realize real-time human intervention during autonomous operation, and control weights are dynamically assigned based on energy optimization.
Findings
Simulations and tests show that Sky-Worker has good dexterity while having a high load capacity. Based on Sky-Worker, multiuser tests and practical application experiments show that the designed shared-control mode effectively improves the success rate and efficiency of operations compared with other current operation modes.
Practical implications
The designed heterogeneous dual-arm distribution robot aims to better serve distribution line operation tasks.
Originality/value
For the first time, the integration of hydraulic and motor drives into a distribution network operation robot has achieved better overall performance. A human–robot cooperative shared control framework is proposed for remote live-line working robots, which provides better operation results than other current operation modes.
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Jakob Müllner and Igor Filatotchev
In this chapter, the authors review emerging literature on multidimensional, information age-related phenomena across different disciplines to derive common themes and topics. The…
Abstract
In this chapter, the authors review emerging literature on multidimensional, information age-related phenomena across different disciplines to derive common themes and topics. The authors then proceed to analyse recent developments in these fields to provide an interdisciplinary overview of the most disruptive challenges for multinational companies (MNCs) competing in the modern information age. These challenges include more efficient peer-to-peer communication between stakeholders, crowd-organisation, globalisation of value chains and the need to organise knowledge resources. The aim of the chapter is not to review all age research, but to identify fundamental uncertainties for MNCs and discuss strategies of tackling such information age phenomena from an international business perspective.
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Edward S.-T. Wang and Jia-Rong Yu
The purpose of this paper is to explore the effect of the product attribute beliefs of ready-to-drink (RTD) coffee beverages (i.e. content sensory, packaging and branding, and…
Abstract
Purpose
The purpose of this paper is to explore the effect of the product attribute beliefs of ready-to-drink (RTD) coffee beverages (i.e. content sensory, packaging and branding, and content functional attributes) on perceived value (i.e. utilitarian and hedonic value) and repurchase intention.
Design/methodology/approach
In the study survey, 401 participants who had purchased RTD coffee beverages within the previous month were included. Structural equation modelling was employed to analyse the survey data.
Findings
The findings indicate that consumers of RTD coffee beverages form utilitarian and hedonic value perceptions through content sensory, packaging and branding, and content functional attribute beliefs. Furthermore, utilitarian value is one of the most crucial determinants of repurchase intentions. The findings further reveal that whereas content functional attribute beliefs have a dominant influence on utilitarian value, content sensory attribute beliefs have a greater influence on hedonic value.
Originality/value
The findings of this study can serve as a reference for RTD coffee beverage companies to develop new products and communication strategies.
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Abstract
Purpose
Promoting electric vehicles (EVs) is an effective way to achieve carbon neutrality. If EVs are widely adopted, this will undoubtedly be good for the environment. The purpose of this study is to analyze the impact of network externalities and subsidy on the strategies of manufacturer under a carbon neutrality constraint.
Design/methodology/approach
In this paper, the authors propose a game-theoretic framework in an EVs supply chain consisting of a government, a manufacturer and a group of consumers. The authors examine two subsidy options and explain the choice of optimal strategies for government and manufacturer.
Findings
First, the authors find that the both network externalities of charging stations and government subsidy can promote the EV market. Second, under a relaxed carbon neutrality constraint, even if the government’s purchase subsidy investment is larger than the carbon emission reduction technology subsidy investment, the purchase subsidy policy is still optimal. Third, under a strict carbon neutrality constraint, when the cost coefficient of carbon emission reduction and the effectiveness of carbon emission reduction technology are larger, social welfare will instead decrease with the increase of the effectiveness of emission reduction technology and then, the manufacturer’s investment in carbon emission reduction technology is lower. In the extended model, the authors find the effectiveness of carbon emission reduction technology can also promote the EV market and social welfare (or consumer surplus) is the same whatever the subsidy strategy.
Practical implications
The network externalities of charging stations and the subsidy effect of the government have a superimposition effect on the promotion of EVs. When the network effect of charging stations is relatively strong, government can withdraw from the subsidized market. When the network effect of charging stations is relatively weak, government can intervene appropriately.
Originality/value
Comparing previous studies, this study reveals the impact of government intervention, network effects and carbon neutrality constraints on the EV supply chain. From a sustainability perspective, these insights are compelling for both EV manufacturers and policymakers.
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Anxia Wan, Qianqian Huang, Ehsan Elahi and Benhong Peng
The study focuses on drug safety regulation capture, reveals the inner mechanism and evolutionary characteristics of drug safety regulation capture and provides suggestions for…
Abstract
Purpose
The study focuses on drug safety regulation capture, reveals the inner mechanism and evolutionary characteristics of drug safety regulation capture and provides suggestions for effective regulation by pharmacovigilance.
Design/methodology/approach
The article introduces prospect theory into the game strategy analysis of drug safety events, constructs a benefit perception matrix based on psychological perception and analyzes the risk selection strategies and constraints on stable outcomes for both drug companies and drug regulatory authorities. Moreover, simulation was used to analyze the choice of results of different parameters on the game strategy.
Findings
The results found that the system does not have a stable equilibrium strategy under the role of cognitive psychology. The risk transfer coefficient, penalty cost, risk loss, regulatory benefit, regulatory success probability and risk discount coefficient directly acted in the direction of system evolution toward the system stable strategy. There is a critical effect on the behavioral strategies of drug manufacturers and drug supervisors, which exceeds a certain intensity before the behavioral strategies in repeated games tend to stabilize.
Originality/value
In this article, the authors constructed the perceived benefit matrix through the prospect value function to analyze the behavioral evolution game strategies of drug companies and FDA in the regulatory process, and to evaluate the evolution law of each factor.