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The purpose of this paper is to disseminate research findings that compared attitudes regarding apparel and fit preferences as well as actual buying behaviors for 229 female baby boomers employed at a midwestern university.

Researchers created a questionnaire that examined purchasing attitudes, behaviors and identified valued apparel characteristics and garment fit expectations/frustrations. Data were analyzed using descriptive statistics.

Results indicated that respondents were frustrated that the apparel industry did not cater to their apparel and fit needs more effectively. While they felt that they knew how to judge proper fit, they indicated that store personnel should be knowledgeable about products in general and clothing fit in particular. They also had distinct clothing design preferences and chose fit, product quality and price considerations over designer and brand names.

The population was limited by midwestern demographic and economic factors descriptive of employees working in a rural community. This may limit the application of results to more diverse baby boomer populations located throughout the USA.

Survey results provide the apparel and retail industry with data that can be used to design and market clothing that is a more accurate reflection of boomer needs and wants, thus producing more satisfied consumers and maximizing industry profits.

This unique study is helpful in expanding an understanding of the apparel and fit preferences of the lucrative baby boomer generation.

This chapter provides the introduction of the book and argues why gender and feminism matter in theory and praxis in the 21st century. It includes the conceptual interrogation of the meaning of gender and feminism and its practice in western and non-western contexts; global currents in feminist struggles; thematic organization of the book; and the future under ‘feminist eyes’. The thread of shared struggles among diverse groups of women based on selected themes — movements, spaces and rights; inclusion, equity and policies; reproductive labour, work and economy; health, culture and violence; and sports and bodies — situates Canada as a western society with avowed egalitarian ideals favouring gender equality and social justice, but with its own issues and concerns like women in other countries facing their own challenges.

Destination management organizations deliver travel-related information through visitor guides to build destination awareness and attract potential tourists. Therefore, this research aims to investigate how people read such a guide, understand their attitudes and to provide recommendations on enhancing its design.

This research used eye-tracking technology in tandem with surveys and in-depth interviews. Eye-tracking technology uncovered the elements of a visitor guide that attracted particular attention, whereas surveys and interviews provided deeper insights into people’s attitudes toward them.

People do not spend attention equally on each page of a visitor guide. Instead, they look at the reference points (i.e. photo credits, photos, headings and bolded words) and then read the adjacent areas if the information triggers their interest. The characteristics of the attractive components of a visitor guide were discussed and suggestions on designing a more appealing guide were provided.

The triangulated approach not only generated objective and insightful results but also enhanced research validity. This exploratory sequential mixed method can usefully be applied to test other stimuli and assess attention.

To be deemed appealing, a visitor guide should avoid ads unrelated to the destination, include more photos, use the list format and bolded words, add stories or selected comments from social media and provide well-designed maps.

This research fills a gap in the literature by using a triangulated approach including eye-tracking, survey and interviews to examine a 68-page visitor guide. The concept of reference-point reading behavior is proposed. Practical implications are discussed to improve the design of a visitor guide.

The purpose of this study is to help the researchers, public, industries and government to realize the tremendous trends to improve the power quality of both sources and load side.

The work carried out in the Facts device and power quality issues.

Maintaining the quality of electric power is always a challenging task. The effect of power electronics devices leads to improper power quality. The use of FACTS devices is preferably the best approach to treat power-quality-related problems. Usually, all FACTS devices are constructed to operate on the side of either the source side or the load.

This paper explores a broad comprehensive study of various types of power quality problems and classification of FACTS devices with its recent developments. Furthermore unified power quality conditioner (UPQC) is particularly reviewed to highlight the advantages over other compensating devices. An exhaustive study of literature has been carried out and most significant concepts are presented

The COVID-19 outbreak has been rapidly spreading around the world for more than a year. However, few studies have explored the connection between the perceived severity of COVID-19 and purchase intention of the health-related products, for example, organic food. Based on the stimulus–organism–response (S-O-R) framework, this study examines the influencing mechanism of perceived severity of COVID-19 on purchase intention of organic food.

To evaluate the proposed model, an online survey was utilized to collect 1,104 valid questionnaires from China.

The findings suggest that (1) the perceived severity of COVID-19 has a significant positive impact on purchasing intention; (2) health consciousness acts as a mediating role between perceived severity of COVID-19 and purchasing intention and (3) perceived inconvenience negatively moderates the connection between perceived severity and purchase intention.

The findings of this paper provide new insights into the positive effects of COVID-19 and pave the way for governments and enterprises to promote the purchase behaviour of organic food.

The purpose of this paper is to describe an approach to analyzing qualitative data that uses Bakhtin’s concepts of dialogue as a framework.

Polyphonic Analysis (PA) is proposed as a critical approach to qualitative data analysis that emphasizes creating virtual dialogues of participants’ voices, bringing together views that typically do not interplay in order to escalate voices that might otherwise be silenced, reduced, or objectified.

PA, with its emphases on revoicing and dialoguing participants’ words, seeking understanding in the tensions between voices, and striving for hegemony in the development of themes, heightens researchers’ awareness of key principles of qualitative research, suggesting its use as a pedagogical approach for teaching qualitative research as an interpretive paradigm. The authors reference their study on the impact of the No Child Left Behind legislation in the USA to draw examples that illustrate the utility of this research design for pedagogy and practice.

PA creates meaning by recognizing multivocality and dialogism. The authors propose and describe this novel application of a literary analysis tool for use as a tool for pedagogy and research methodology.

The purpose of this paper is to investigate the relationship between regional factors and investment attractiveness of solar energy production. The aim is to create a rank order of the Greek regions based on their investment attractiveness.

In this research, the analytic hierarchy process (AHP) was applied in its group choice approach combined with a purposive sampling of experts from the business, governmental and research fields.

A rank order of the regions was developed related to their investment attractiveness based on the experts’ sampling and the specific criteria that were set. Analyzing the criteria, it was found that general macroeconomic performances of the regions are of low priority, while the ones related to the entrepreneurial development such as solar irradiation and land availability are of high priority.

This work is practically applicable, as it conduces to the management of companies operating in the solar energy sector. It is also useful for policy makers as the regions are prioritized, identifying, in this way, opportunities for investment.

The novel aspect of this research is regions’ ranking based on their dynamic in solar energy investments. The utilization of the AHP offers additional value to the research of energy planning and management, as it is applied for the first time in the solar energy sector, concerning regional factors, solar energy parameters, economic data and expert sampling to develop a rank order of the regions.

Pipelines are seriously corroded due to the close distance between pipelines and high voltage transmission lines. The purpose of this paper is to study the influence of alternating current (AC) on corrosion behavior of X80 pipeline steel in coastal soil solution.

The corrosion behavior of X80 steel under different AC densities in coastal soil solution was investigated by electrochemical measurements and image processing technology. Furthermore, a quantitative description model of AC corrosion through fractal dimension of corrosion image was established.

The results show that under low AC density the X80 steel is mainly uniform corrosion, and once AC density reaches 150 A/m², the corrosion morphology gradually turns to pitting corrosion with irregular circle. For another aspect, the fractal dimension of corrosion images shows that the two/three-dimensional fractal dimension increase with the increase of AC density, presenting a linear and an exponential relationship respectively. In addition, the variation of the three-dimensional fractal dimension is the same as that of average corrosion rate. The threshold of the increasing trend of fractal dimension as well as corrosion type is 150 A/m².

The investigation provides a quantitative method to describe AC corrosion morphology through fractal dimension. Furthermore, the method is of benefit to process corrosion images automatically.

Organic food consumption is a complex process that makes it difficult for organic food businesses to develop appropriate marketing strategies. This study thus adopted the stimuli–organism–response (S–O–R) model to create a comprehensive framework to understand consumers' organic food purchase decisions.

This study collected 592 valid samples in organic food chain stores and markets by random sampling method. Meanwhile, structural equation modelling was adopted to test hypotheses.

The research findings indicate that consumer preference for natural food was the most important factor for enhancing purchase intention, followed by health consciousness, health risk, attitude towards organic food and trust in labelling. Perceptions of nutritional value positively influenced attitudes towards organic food and trust in labelling, followed by perceptions of environmental effects; conversely, attitudes towards organic food labelling had the least effect on increasing trust in labelling. Attitudes towards organic food labelling was the most important factor influencing positive attitudes towards organic food, followed by consumer perception of environmental protection effects.

This study demonstrates the relative influence of different variables on organic food purchase intention. Compared with consumer attitude towards organic food and trust in labelling, consumers' individual health was the most important factor influencing their purchase intention. As health and naturalness are attractive factors for consumers, the organic food industry can emphasize health protection in their marketing strategies.

The lack of suitable indicators tailored to manufacturing industries’ needs, particularly to small and medium enterprises (SMEs), has been the major challenge to measure and manage industrial sustainability performance. This paper aims to empirically analyze and select the useful and applicable indicators to measure sustainability performance in the context of SMEs.

A systematic review was carried out to identify potential sustainability indicators from the literature. A questionnaire was designed based on the identified indicators and then pretested with the selected industrial experts, scholars, and researchers to further refine the indicators before data collection from the Italian footwear SMEs. Fuzzy Delphi method with consistency aggregation method was applied to analyze and select the final indicators.

The study’s findings show that the selected indicators emphasized measuring progress toward achieving industrial sustainability goals in terms of increasing financial benefits, reducing costs, improving market competitiveness, improving the effectiveness of resources utilization, and promoting the well-being of employees, customers and the community. In doing so, Italian footwear SMEs can contribute to achieving the Sustainable Development Goals (SDGs) by promoting health and well-being, promoting sustainable economic growth, providing productive employment and decent work, and ensuring responsible consumption and production.

The results of this study have significant social implications in terms of promoting the well-being of employees, customers, and the community.

By providing empirically supported indicators tailored to measure and manage sustainability performance in the context of SMEs, this paper contributes to the existing knowledge in the field of industrial sustainability performance measurement. Furthermore, it links the selected indicators to their respective SDGs to provide policy implications.