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Article
Publication date: 10 December 2021

Wang Yu, Gang Chen, Haiyan Yang and Sisi Li

A series of sulfate-based Gemini anionic surfactants were synthesized via etherification, ring opening and sulfation reactions using epichlorohydrin, fatty alcohol, ethylene…

209

Abstract

Purpose

A series of sulfate-based Gemini anionic surfactants were synthesized via etherification, ring opening and sulfation reactions using epichlorohydrin, fatty alcohol, ethylene glycol and chlorosulfonic acid as the main raw materials. Orthogonal experiments for 1,8-bisalkoxymethylene-3,6-dioxin-1,8-octane disulfate were performed on the sulfation reaction to determine the optimal reaction conditions.

Design/methodology/approach

A series of sulfate-based Gemini anionic surfactants were synthesized via etherification, ring opening and sulfation reactions using epichlorohydrin, fatty alcohol, ethylene glycol and chlorosulfonic acid as the main raw materials. Orthogonal experiments for 1,8-bisalkoxymethylene-3,6-dioxin-1,8-octane disulfate were performed on the sulfation reaction to determine the optimal reaction conditions. The structures of the intermediate and final products were characterized by FT-IR (Fourier transform infrared spectroscopy analysis), 1H-NMR (proton nuclear magnetic resonance spectroscopy) methods. The thermal performance of surfactants was analyzed using thermogravimetric analysis (TGA). The thermogravimetric results showed that the sulfate-based Gemini surfactants had good heat resistance (the thermal decomposition temperature of which was in the range of 140∼170?). The Krafft point, surface tension, foaming, Hydrophile–Lipophile Balance Number (HLB), emulsifying, wetting, and lime-soap dispersing performance were measured by visual observation, hanging drop method, aqueous surfactant solution method and Borghetti–Bergman method, respectively. The results have shown that all the sulfate-based Gemini surfactants had good water solubility and lime-soap dispersing ability. When spacer group was -(CH2)2-, with the increase of the carbon chain length from C12 to C14, the micellar concentration critical micelle concentration and surface tension (CMC) gradually increased from 8.25 × 10–4 mol/L to 8.75 × 10–4 mol/L and 27.5 mN/m to 30.9 mN/m, respectively. Also, the sulfate-based Gemini surfactants with the different length of the spacer group had a different effect on their performance on foaming properties and foam properties, HLB and emulsifying ability and wetting ability.

Findings

In view of the important role of the spacer group and the general use of anionic surfactants in oil fields, this article considers the preparation of a series of sulfate-based Gemini surfactants by changing the spacer group and the chain length of the hydrophobic group and evaluating their surface activity, and finally its Kraffi, on the foam properties, HLB value, emulsifying performance, lime soap dispersing ability etc.

Originality/value

Sulfate-based Gemini surfactants have broad application prospects in the fields of oil and gas exploitation, environmental protection, chemistry and daily chemical industry and so on.

Details

International Journal of Clothing Science and Technology, vol. 34 no. 3
Type: Research Article
ISSN: 0955-6222

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Article
Publication date: 6 February 2025

Run Chen, Qixin Zhao, Sisi Wang, Zhonglue Hu, Weiping Dong, Xiping Li, Shiju E and Linlin Wang

This study aims to explore the impact of printing parameters, specifically raster angle and layer thickness, on the microstructure and mechanical properties of green and sintered…

13

Abstract

Purpose

This study aims to explore the impact of printing parameters, specifically raster angle and layer thickness, on the microstructure and mechanical properties of green and sintered parts produced through filament-based fused filament fabrication (FFF) using a self-developed filament. The goal is to improve the quality and performance of the final sintered components.

Design/methodology/approach

A filament containing 92 Wt.% 316L stainless steel with polyoxymethylene (POM)-based binder was formulated and evaluated for flexibility through a buckling resistance test. Green parts were printed with varying raster angles (+45°/−45°, 0°/90°) and layer thicknesses (0.2 mm, 0.3 mm), followed by catalytic debinding and high-temperature sintering. Microstructure, dimensional accuracy and mechanical properties, including microhardness, tensile strength and elongation at break, were analyzed to identify optimal parameters.

Findings

A raster angle of (+45°/−45°) produced denser interlayer bonding and a more compact green part structure, whereas a thicker layer (0.3 mm) resulted in a looser structure with larger pores. The optimal combination of +45°/−45° raster angle and 0.2 mm layer thickness achieved the highest relative density (99.37%) and superior mechanical properties: microhardness (216.83 HV), tensile strength (467.59 MPa) and elongation at break (16.81%).

Originality/value

A 92 Wt.% 316L stainless-steel filament for FFF was independently developed and near dense steel components were successfully fabricated. This study provides new insight into developing a novel formula of filament and optimizing printing parameters for FFF technology.

Details

Rapid Prototyping Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1355-2546

Keywords

Available. Content available
Article
Publication date: 27 April 2010

Sisi Zlatanova and Jonathan Li

151

Abstract

Details

Disaster Prevention and Management: An International Journal, vol. 19 no. 2
Type: Research Article
ISSN: 0965-3562

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Article
Publication date: 19 October 2023

Jing Gao, Yang Gao, Tao Guan, Sisi Liu and Tao Ma

This paper breaks through the limitations of the research on bullwhip effect in the traditional supply chain, extends the research perspective to digital supply chain and…

615

Abstract

Purpose

This paper breaks through the limitations of the research on bullwhip effect in the traditional supply chain, extends the research perspective to digital supply chain and discusses the weakening effect of digital supply chain on bullwhip effect by comparing the overall performance of the two.

Design/methodology/approach

This paper starts with the weakening mechanism of supply chain digitization on bullwhip effect, builds bullwhip effect models of traditional supply chain and digital supply chain, respectively, simulates the influence of supply chain digitization transformation on bullwhip effect by using Matlab software and analyzes the causes of bullwhip effect in supply chain led by T company and the digitization process.

Findings

Firstly, digitization can reduce bullwhip effect in multi-level supply chain by reducing information feedback deviation. Second, digital transformation is conducive to improving the overall performance of the supply chain. Third, government incentives can promote the digital transformation of supply chain and inhibit bullwhip effect.

Research limitations/implications

Although the study considers the heterogeneous subject -- the government's incentive effect on digital transformation and information sharing – it does not include the influence of the end node in the supply chain, that is the consumer. In addition, this paper only analyzes and discusses the bullwhip effect on the amplification of demand, without considering the situation that the market contraction will lead to the reduction of demand.

Practical implications

This paper considers the distortion degree and delay degree of information feedback, carries out quantitative analysis of bullwhip effect, builds the bullwhip effect model of traditional supply chain and digital supply chain, uses Matlab software to analyze the difference of the influence of supply chain digital transformation on bullwhip effect suppression and puts forward the corresponding control strategy.

Social implications

The research shows that digital transformation can reduce the bullwhip effect in multi-layer supply chain by reducing the information feedback deviation, which is conducive to improving the overall supply chain performance, and government support can accelerate the digital transformation of supply chain to a certain extent.

Originality/value

First, break through the limitations of traditional supply chain research, expand the research perspective to digital supply chain and discuss the weakening effect of digital supply chain on bullwhip effect by comparing the overall performance of the two. Second, quantify the bullwhip effect through information feedback bias and provide an analysis method for the weakening of the bullwhip effect. Third, the driving role of the government in the digital transformation of the supply chain is considered in the study, so that the model is more close to the actual situation of enterprise operation.

Details

Business Process Management Journal, vol. 30 no. 1
Type: Research Article
ISSN: 1463-7154

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Article
Publication date: 18 October 2023

Sisi Zou and Catriona Paisey

The purpose of this paper is to examine the alternative accounts produced by Green Earth Volunteers (GEV), a Chinese environmental non-governmental organisation, over a 10-year…

254

Abstract

Purpose

The purpose of this paper is to examine the alternative accounts produced by Green Earth Volunteers (GEV), a Chinese environmental non-governmental organisation, over a 10-year period in the context of their campaign to create visibilities about hydroelectric dam projects along the Chang Jiang.

Design/methodology/approach

Drawing on conceptions of the human–nature relationship, including those evident in ancient Chinese philosophy and mythology, and the Chinese way of viewing and resolving conflict, this paper offers an interpretive analysis of the alternative accounts of GEV in terms of their form and content.

Findings

In terms of their content, the alternative accounts reflect elements of interrelated thinking, being underpinned by a recognition of the relationship between humans and nature, which is evident in Confucianism, Taoism and ancient Chinese mythology. The strategies adopted by GEV are a non-confrontational but feasible way to promote their ecological beliefs in the Chinese context.

Practical implications

The study suggests that social and environmental accounting (SEA) in developing countries is steeped in local cultural and philosophical traditions that need to be considered and incorporated into the design of alternative accounts.

Originality/value

The study contributes to the very limited literature that offers qualitative analyses of SEA in developing countries.

Details

Accounting, Auditing & Accountability Journal, vol. 37 no. 4
Type: Research Article
ISSN: 0951-3574

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Article
Publication date: 28 February 2023

Lin-Lin Xie, Yajiao Chen, Sisi Wu, Rui-Dong Chang and Yilong Han

Project scheduling plays an essential role in the implementation of a project due to the limitation of resources in practical projects. However, the existing research tend to…

436

Abstract

Purpose

Project scheduling plays an essential role in the implementation of a project due to the limitation of resources in practical projects. However, the existing research tend to focus on finding suitable algorithms to solve various scheduling problems and fail to find the potential scheduling rules in these optimal or near-optimal solutions, that is, the possible intrinsic relationships between attributes related to the scheduling of activity sequences. Data mining (DM) is used to analyze and interpret data to obtain valuable information stored in large-scale data. The goal of this paper is to use DM to discover scheduling concepts and obtain a set of rules that approximate effective solutions to resource-constrained project scheduling problems. These rules do not require any search and simulation, which have extremely low time complexity and support real-time decision-making to improve planning/scheduling.

Design/methodology/approach

The resource-constrained project scheduling problem can be described as scheduling a group of interrelated activities to optimize the project completion time and other objectives while satisfying the activity priority relationship and resource constraints. This paper proposes a new approach to solve the resource-constrained project scheduling problem by combining DM technology and the genetic algorithm (GA). More specifically, the GA is used to generate various optimal project scheduling schemes, after that C4.5 decision tree (DT) is adopted to obtain valuable knowledge from these schemes for further predicting and solving new scheduling problems.

Findings

In this study, the authors use GA and DM technology to analyze and extract knowledge from a large number of scheduling schemes, and determine the scheduling rule set to minimize the completion time. In order to verify the application effect of the proposed DT classification model, the J30, J60 and J120 datasets in PSPLIB are used to test the validity of the scheduling rules. The results show that DT can readily duplicate the excellent performance of GA for scheduling problems of different scales. In addition, the DT prediction model developed in this study is applied to a high-rise residential project consisting of 117 activities. The results show that compared with the completion time obtained by GA, the DT model can realize rapid adjustment of project scheduling problem to deal with the dynamic environment interference. In a word, the data-based approach is feasible, practical and effective. It not only captures the knowledge contained in the known optimal scheduling schemes, but also helps to provide a flexible scheduling decision-making approach for project implementation.

Originality/value

This paper proposes a novel knowledge-based project scheduling approach. In previous studies, intelligent optimization algorithm is often used to solve the project scheduling problem. However, although these intelligent optimization algorithms can generate a set of effective solutions for problem instances, they are unable to explain the process of decision-making, nor can they identify the characteristics of good scheduling decisions generated by the optimization process. Moreover, their calculation is slow and complex, which is not suitable for planning and scheduling complex projects. In this study, the set of effective solutions of problem instances is taken as the training dataset of DM algorithm, and the extracted scheduling rules can provide the prediction and solution of new scheduling problems. The proposed method focuses on identifying the key parameters of a specific dynamic scheduling environment, which can not only reproduces the scheduling performance of the original algorithm well, but also has the ability to make decisions quickly under the dynamic interference construction scenario. It is helpful for project managers to implement quick decisions in response to construction emergencies, which is of great practical significance for improving the flexibility and efficiency of construction projects.

Details

Engineering, Construction and Architectural Management, vol. 31 no. 7
Type: Research Article
ISSN: 0969-9988

Keywords

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Article
Publication date: 1 April 1996

Michael Seadle

Who knows what scholarly gems lie behind the iron doors of research library stacks in what used to be called “East” Germany? Today anyone with a network connection and a Web…

62

Abstract

Who knows what scholarly gems lie behind the iron doors of research library stacks in what used to be called “East” Germany? Today anyone with a network connection and a Web browser can know at least some of the answers, thanks to a major automation effort.

Details

Library Hi Tech, vol. 14 no. 4
Type: Research Article
ISSN: 0737-8831

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Article
Publication date: 24 December 2024

Sisi Wang, Dickson K. W. Chiu and Kevin K.W. Ho

With the widespread popularity of Esports, Esports game addiction has attracted wide attention. This research explores the causes of Esports game addiction among college students…

39

Abstract

Purpose

With the widespread popularity of Esports, Esports game addiction has attracted wide attention. This research explores the causes of Esports game addiction among college students in Mainland China and the influence of specific participation motivation and self-control on college students’ Esports game addiction.

Design/methodology/approach

This research applied the organismic integration theory (OIT) instead of the basic psychological needs theory using Honor of Kings, the most popular Esports game in the form of multiplayer online battle arena (MOBA) among Chinese college students. A total of 339 completed questionnaires were finally analyzed. SmartPLS 2.0 M3 was used to perform the PLS-SEM analysis on the relationship between self-control, participation motivation and Esports game addiction.

Findings

Only introjected regulation and a motivation positively impacted Esports game addiction, while intrinsic motivation, integrated regulation, identified regulation and external regulation had surprisingly no effect on Esports game addiction.

Originality/value

Scant studies have explored Esports game addiction in MOBA games, especially in Asia. Results showed that parents, schools and society should consciously strengthen the education and exercise of students’ self-control ability to prevent Esports game addiction. Game developers should appropriately adjust game structures and functions to prevent college students from using them as social tools or games to escape reality.

Details

Aslib Journal of Information Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2050-3806

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Article
Publication date: 28 October 2024

Kong Lingfu, Safia Bano, Ummi Naiemah Saraih, Naimatullah Shah and Bahadur Ali Soomro

In today’s era, a country’s economy and society are continuously improved by entrepreneurship that utilizes digital technology. The current study, conducted among university…

125

Abstract

Purpose

In today’s era, a country’s economy and society are continuously improved by entrepreneurship that utilizes digital technology. The current study, conducted among university students in Pakistan, examines the roles of digital aspects in moving toward digital innovation (DI) and digital entrepreneurship (DE).

Design/methodology/approach

The study is based on quantitative and cross-sectional data. A survey questionnaire was used to obtain responses from respondents recruited through the convenience sampling technique.

Findings

The results from structural equation modeling (SEM) analysis suggest significant effects of technology orientation (TO), entrepreneurial orientation (EO), and DI on DE. The impact of DI on DE is also significant. On the other hand, digital technology self-efficacy (DTSE) is not found to be a significant predictor of DI and DE. Moreover, DI is found to be a significant mediator, which mediates the relationships of TO and EO with DE. On the contrary, DI did not mediate the significant relationship between DTSE and DE.

Practical implications

The study’s findings would benefit policymakers and planners in developing policies to encourage the usage of digital technologies to provide solutions in entrepreneurship. The findings also support promoting DE to tackle business challenges and achieve organizational and academic goals.

Originality/value

The study emphasizes the roles of digital technology, innovation, and entrepreneurship in a developing context.

Details

European Journal of Innovation Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1460-1060

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Publication date: 14 October 2024

Bassam Samir AL-Romeedy and Shaymaa Abdul-Wahab El-Sisi

This study explores the potential of artificial intelligence (AI) in fostering sustainable entrepreneurship within the tourism industry. The rapid growth of the tourism sector has…

Abstract

This study explores the potential of artificial intelligence (AI) in fostering sustainable entrepreneurship within the tourism industry. The rapid growth of the tourism sector has raised concerns regarding its environmental impact, social equity and economic sustainability. Sustainable entrepreneurship offers a promising approach to address these challenges by integrating environmental, social and economic considerations into business practices. AI technologies, with their ability to process vast amounts of data, analyse patterns and make predictions, have the potential to support sustainable entrepreneurship initiatives in the tourism industry. By analysing the current literature, this study provides insights into the effective utilisation of AI to promote sustainable entrepreneurship in the tourism industry, while acknowledging the need for responsible and ethical AI implementation. The findings contribute to the understanding of how AI can be harnessed as a tool for driving sustainable practices and innovation in the tourism sector, ultimately leading to a more sustainable and responsible tourism industry.

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