Search results

This study aims to investigate the influence of perceived luxuriousness on consumers’ revisit intentions via the mediating effects of positive and negative emotions based on the Stimulus-Organism-Response (SOR) model. In this context, “luxuriousness” specifically refers to the richness of furnishings, including the visual allure of aesthetic design and the surrounding cues.

A quantitative approach using a survey method is employed to analyse the collected 289 data from consumers of bubble tea. Partial least squares structural equation modelling is chosen as the main analytical approach to examine the research model.

The results showed that perceived luxuriousness has a significant positive influence on positive emotion and a significant negative influence on negative emotion. Furthermore, positive emotion positively affects revisit intentions, whereas negative emotion negatively affects revisit intentions. Positive emotion mediates the relationship between perceived luxuriousness and revisit intentions, but negative emotion does not.

In terms of theoretical contributions, this study contributes to the SOR model by exploring the influence of perceived luxuriousness on revisit intentions via the mediating effects of emotions in the bubble tea context, which has not been previously examined by past studies. In terms of managerial implications, this study provides insights into how to leverage the element of luxury to encourage consumers to revisit bubble tea stores.

This study aims to examine the illicit capital movement through trade misinvoicing in Burundi, at disaggregated levels by major trading partners and by major export and import commodities.

Trade misinvoicing is estimated by comparing the trade values declared by Burundi with those declared by trading partners in a bilateral international transaction, after adjusting for the cost of freight and insurance. Disaggregated trade misinvoicing by major trading partners is computed using the Direction of Trade Statistics database of the International Monetary Fund over the period 1970–2019. Disaggregated trade misinvoicing by major trading commodities is computed using the UN-COMTRADE database over the period 1993–2019.

Exports of Burundi to most of its major trading partners are found to be underinvoiced. The top destinations for export underinvoicing are United Arab Emirates, Belgium and Germany. However, exports to UK and Switzerland are found to be overinvoiced. The major export commodities considered, coffee and gold, are found to be affected by trade misinvoicing to a great extent. On the import side, the estimation results indicate that imports of Burundi from its major trading partners are in general overinvoiced. High import overinvoicing is observed in the trade with Saudi Arabia, China and Japan. At commodity level, for the top 6 commodities considered, imports were to a great extent found to be overinvoiced. Cases of illicit capital outflows and inflows through trade misinvoicing are highlighted.

Some policy implications are drawn from this study. First, in collaboration with its development partners, the Government of Burundi should put in place measures to reduce the trade misinvoicing phenomenon, which undermines poverty reduction efforts. The study has shown which trade partners are involved and which commodities are mostly affected. Policy efforts could then be focused in that regard. Investigations at the company and transaction levels can be made to identify the mechanisms of trade misinvoicing. Second, more effort is needed in ensuring systematic and transparent reporting of international trade transactions. To fight trade misinvoicing, transparency in international trade is key, through coordinated enforcement of reporting rules.

Previous studies analyzed the problem of trade misinvoicing at an aggregated level. However, this leaves out essential information on trading partners involved in the phenomenon as well as trading commodities affected. This study investigates trade misinvoicing at disaggregated levels, at product level and by trading partner.

This study aimed to compare the performance of sustainable shoes made with bacterial cellulosic composite and commercial leather shoes using an experimental research design. The two specific research objectives were: (1) to examine the basic material properties of multi-layered bacterial cellulosic materials (MBC), which include green tea-based cellulosic (GBC) mats, hemp fabrics, and denim fabrics, in comparison with those of two-layered leathers (MCP) consisting of calf-skin and pig-skin – commonly used in shoe manufacturing; and (2) to explore wearers’ performance in the two types of shoes by assessing quantitative kinematic and kinetic parameters of lower body movements.

This study focused on assessing the basic materials testing and performance of sustainable shoes through a biomechanical approach, in contrast to commercially available leather shoes, through human wear trials. In this study, green tea-based cellulosic (GBC) mats were developed using the optimal combination of ingredients for cellulose growth. Subsequently, the GBC, denim fabric (100% cotton), and 100% hemp fabric were combined to create multi-layered bacterial cellulosic materials (MBC) as an alternative to leather. Additionally, calf-skin and pig-skin leathers were utilized to produce a commercially available two-layered leather (MCP), commonly employed in shoe manufacturing. 37 of the 42 human subjects who participated in wear testing were collected. A paired t-test was conducted to determine whether significant mean differences existed between the two shoe types, a paired t-test was conducted.

To develop a biodegradable and compostable material that could be used as a leather alternative for the footwear industry, we proposed MBC and examined its properties compared with those of MCP, a product often used when making shoes. These findings confirmed the similar properties of MBC and MCP from the material testing and the possibility of using a men’s sustainable shoe prototype as a leather alternative, in terms of kinematics and kinetics.

The new multi-layered bacterial cellulosic materials (MBC) could be an alternative to commercial leathers such as innovative sustainable material construction, advanced design, and advanced techniques to optimize the overall performance of sustainable footwear.

Investigating the integration of smart textile technologies, ergonomic design principles, and personalized customization will contribute to developing MBC and making sustainable shoes using MBC compared with commercial leather shoes. This study provides valuable insights into further refinement and innovation in the sustainable footwear industry.

The objective of this paper is to develop a condition-based maintenance (CBM) scheme for pneumatic cylinders. The CBM scheme will detect two common types of air leaking failure modes and identify the leaky/faulty cylinder. The successful implementation of the proposed scheme will reduce energy consumption, scrap and rework, and time to repair.

Effective implementation of maintenance is important to reduce operation cost, improve productivity and enhance quality performance at the same time. Condition-based monitoring is an effective maintenance scheme where maintenance is triggered based on the condition of the equipment monitored either real time or at certain intervals. Pneumatic air systems are commonly used in many industries for packaging, sorting and powering air tools among others. A common failure mode of pneumatic cylinders is air leaks which is difficult to detect for complex systems with many connections. The proposed method consists of monitoring the stroke speed profile of the piston inside the pneumatic cylinder using hall effect sensors. Statistical features are extracted from the speed profiles and used to develop a fault detection machine learning model. The proposed method is demonstrated using a real-life case of tea packaging machines.

Based on the limited data collected, the ensemble machine learning algorithm resulted in 88.4% accuracy. The algorithm can detect failures as soon as they occur based on majority vote rule of three machine learning models.

Early air leak detection will improve quality of packaged tea bags and provide annual savings due to time to repair and energy waste reduction. The average annual estimated savings due to the implementation of the new CBM method is $229,200 with a payback period of less than two years.

To the best of the authors’ knowledge, this paper is the first in terms of proposing a CBM for pneumatic systems air leaks using piston speed. Majority, if not all, current detection methods rely on expensive equipment such as infrared or ultrasonic sensors. This paper also contributes to the research gap of economic justification of using CBM.

Purpose: Different approaches have been applied to define and measure service quality as both a process and a performance-intensive presentation. The literature agreed that service quality assessments are essential in measuring performance, however they could only reach a partial consensus. Although the Servqual scale is the most widely known and used tool in measuring service quality, it has received various criticisms. This study presents the difficulties encountered in measuring service quality and an evaluation of the Servqual scale.

Methodology: The study provides a conceptual framework, examining the research on the subject in the literature and the criticisms of the Servqual scale. It is designed as a compilation/assessment to improve the perspectives of the interested parties by bringing together evaluations about the pros and cons of the most well-known service quality scale.

Findings: Measurement of service quality is a complex business. Although it has received various criticisms, the Servqual scale which enables the measurement of quality in the services sector is still the most frequently used measurement tool.

Practical Implications: The difficulty of defining the service and its quality, which arises from the characteristics of the services, does not eliminate the necessity of measuring the quality of the service. With this study, a conceptual framework has been provided on the subject, a collective evaluation has been made for the most widely used scale, and the ground has been prepared for improvement and development in the criticisms of the scale.

The UK government has taken the lead in accelerating the capacity of higher education to engage with sustainability accounting and adopting a novel systematic approach toward a collective implementation of and contribution to Sustainable Development Goals (SDGs). The UN SDG 16 “Peace, Justice & Strong Institutions” promotes the (re)building of effective and accountable institutions. In line with the institutional logics metatheory, we provide empirical evidence on how the alignment between social mechanisms alongside the reputation of higher education institutions (HEIs) and SDGs on transparent and responsible service (SDG 16) affect the students' overall experience. Using a sample of 142 UK HEIs, interpretative content analysis and ordinary least squares, the results show that integrating HEIs' responsible-oriented research agenda proactively with high sustainability reputation adds significantly to greater student satisfaction.

In pursuit of affordable and nutrient-rich food alternatives, the symbiotic culture of bacteria and yeast (SCOBY) emerged as a selected food ink for 3D printing. The purpose of this paper is to harness SCOBY’s potential to create cost-effective and nourishing food options using the innovative technique of 3D printing.

This work presents a comparative analysis of the printability of SCOBY with blends of wheat flour, with a focus on the optimization of process variables such as printing composition, nozzle height, nozzle diameter, printing speed, extrusion motor speed and extrusion rate. Extensive research was carried out to explore the diverse physical, mechanical and rheological properties of food ink.

Among the ratios tested, SCOBY, with SCOBY:wheat flour ratio at 1:0.33 exhibited the highest precision and layer definition when 3D printed at 50 and 60 mm/s printing speeds, 180 rpm motor speed and 0.8 mm nozzle with a 0.005 cm³/s extrusion rate, with minimum alteration in colour.

Food layered manufacturing (FLM) is a novel concept that uses a specialized printer to fabricate edible objects by layering edible materials, such as chocolate, confectionaries and pureed fruits and vegetables. FLM is a disruptive technology that enables the creation of personalized and texture-tailored foods, incorporating desired nutritional values and food quality, using a variety of ingredients and additions. This research highlights the potential of SCOBY as a viable material for 3D food printing applications.

This study aims to assess dietary choices of pregnant women and its relationship with their anaemia status.

A mixed-method study comprising a survey and three focus group discussions (FGDs). The survey included 380 adult pregnant women with data collected on food choices, preferences and haemoglobin (Hb) status.

More than 50% of women in the study had Hb concentration < 11.0 g/dl; mean Hb was 10.24 g/dl (SD = 1.59). Univariate analysis was used to generate descriptive tabulations for socio-demographic characteristics of respondents, dietary choices for women and anaemia status. T-test and bivariate analysis between dietary diversity score of the women among the food groups consumed as well as their anaemia (Hb) status. This showed that women with high dietary diversity score had improved Hb status (P = 0.003), and those who consumed meat and fish as well as dark leafy vegetables had significantly high diversity scores (P = 0.031 and P = 0.049). Thematic analysis was used for analysing qualitative data.

The sample used in the study is unlikely to be fully representative of pregnant women in the Accra Metropolis. In addition, this study used a cross-sectional study design, making it difficult to establish causal associations between nutritional status and food choice of pregnant women. It does not also show variation in dietary practices by seasons of the year. The scope of the study did not allow for a detailed analysis, and this should be considered in future studies. Also, the study did not explore an obstetric factor like past bleeding history as well as the menstrual cycle of these pregnant women, as these factors are likely to interfere with the anaemia status of the pregnant women.

This paper contributes significant value by specifically focusing on and clarifying the complex relationship between dietary choices and aneamia among pregnant women. It also provides insights into the distinct dietary patterns and preferences of pregnant women, which may be contributing to the high prevalence of aneamia. The results of the study can inform the development of localized, evidence-based interventions to address this critical public health concern, ultimately leading to improved maternal and foetal health outcomes.

This study aims to explore factors that affect gendered consumption (male and female), willingness to pay (economic attributes) and the socio-cultural context of Gen-Z consumers towards specialty coffee as compared to other types in Taiwan.

Samoggia and Riedel’s (2018) theoretical framework is adopted to examine the concepts of interest. A mixed method approach comprising interviews and experimental taste tests was used to collect data from Gen-Z specialty coffee consumers in a purposive sampling manner.

The findings suggested the effect of price elasticity of demand where specialty coffee was perceived as an expensive commodity by young consumers, and hence, not a regularly purchased item. Nevertheless, specialty coffee was linked to health benefits, and a signal for conspicuous consumption – where café experiences facilitated self-promotion on sites like Instagram and Facebook. Finally, the findings alluded to a potential gender effect, with more female young consumers likely to consume specialty coffee as compared to their male counterparts.

This study is located within the context of Taiwan, which has been a tea-dominated consumption landscape for numerous decades. The use of an experimental design also presents a unique angle to elucidate sensory elements surrounding specialty coffee as a research design for Gen-Z research projects. The study points to the relevance of social context in the consumers’ behavioural patterns, which has been largely implicit within consumer behaviour scholarship.

This paper intervenes in the consequences of a myth propagated in academic discourse about the dancesport world, according to which half of the men in Latin dancesport are gay. I challenge two assumptions that surround this myth: that cisgender gay men do not contribute to the reification of the heteronormative gender binary, and that the dancesport scene is inclusive of gay people. These assumptions are based on a blatant lack of understanding of the position of gay men within the dancesport world – that is, the ways in which subjects are constituted through the effects of power.

This work is based on empirical research I conducted in the dancesport community, including ethnographic and autoethnographic fieldwork, extant documents (e.g. books, blogs, Judging Regulations) and interviews with experts and participants of the dancesport scene (2021/2022). To analyse the data, I relied on the principles of dispositive analysis, grounded theory and dance analysis.

I show that gay dancers have turned to assimilation as their only available strategy. I discuss the negative consequences of assimilation as a political strategy and how it impacted queer dancers – between invisibilisation, residual shame and a failure to challenge the heteronormative gender binary. This led gay dancers to rationalise and perpetrate harm based on the systems of oppression they had internalised.

I conclude the paper by highlighting a way beyond assimilation for queer dancers.

This paper addresses a critical gap in research on LGBT + inclusion in dancesport.