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The aim of this study is to examine the effect of brand attribution on consumer behaviour. The authorsare interested in finding out if consumers are more likely to purchase a new sports product when it is attributed to a brand. The authors are interested in finding out if the brand positively influences the consumer's appreciation of the product in the case of the launch of a new product.

The authors completed a quantitative survey with 320 people who are familiar with the toning concept, aged between 20 and 45 years old. The questionnaire was conducted face to face in six large cities in France.

Main results show that belief in the effectiveness of the product is positively correlated with purchase intention. However, the attribution of the product to the brand does not guarantee belief in the effectiveness of the product nor does it guarantee purchase intention. Brand credibility has a positive impact on belief in the effectiveness of the product. Furthermore, exposure to advertising allows the product to be attributed to the brand. Yet, it does not have an impact on belief in the product's effectiveness or purchase intention.

Whereas studying consumer behaviour is not new, analysing consumer perceptions of innovative products and how these perceptions relate to the product brand can provide interesting implications both for consumer behaviour research and from a practical perspective for brands. Indeed, this paper shows the importance of exposure to advertising for a product to be attributed to a brand but this is not enough to induce its purchase. It is the credibility of the brand in the product category as well as the belief in the effectiveness of the product that can lead consumers to buy it.

This manuscript explores the value of mission statement emotional content in the relationship between money raised by a nonprofit organization through fundraising efforts and the money spent. It proposes the emotional content of a mission statement moderates money spent and earned to ultimately to impact how much revenue a nonprofit makes through fundraising.

The manuscript evaluates the qualitative turned quantitative data (via text mining [TM]) in mission statements from 200 nonprofits serving the homeless sector via a moderation analysis. After segmenting the sampled nonprofits by gross revenue, the authors analyze the impact of the positive and negative emotional tone in each group to determine how the content of a mission statement impacts organizational revenue.

The paper provides empirical insights about how the emotional polarity of a mission statement influences money earned through fundraising. However, the positive and negative tone of a mission statement impacts organizations differently based on size. For nonprofits that report an annual revenue of less than $1 million, a positive tone in the mission statement results in higher revenue. Conversely, nonprofits that report over $1 million earn less revenue with a positive tone in their mission statement.

Owing to the specialized group sampled, the findings possibly only apply to the sampled group. Therefore, researchers are encouraged to test the relationships found in other areas of nonprofits. However, the implications of mission statement polarity influencing financial performance in any population should be of keen interest to practitioners when crafting mission statements.

The finding that mission statement emotional tone influences the financial performance of a nonprofit has direct implications for the effective delivery of services in the nonprofit realm. Leaders of nonprofits can use the study’s findings to position their organizations to capture potential needed revenue in the crafting of their mission statements.

This paper uniquely exposes the moderating impact of the emotional tone in mission statements in relationship with financial performance.

The purpose of this research is to assess the removal of oil spills from the seawater surface as well as the antibacterial activity of ZnFe₂O₄-cetyltrimethylammonium bromide (CTAB, cationic surfactant) magnetic nanoparticles (ZFO-CTAB MNPs).

A CTAB-assisted sol–gel method was used to synthesize ZFO-CTAB MNPs. X-ray powder diffraction and Fourier transform infrared spectroscopy were used for ZFO-CTAB MNPs characterization. Also, the magnetic force and apparent density of ZFO-CTAB MNPs were determined. The oil spill cleanup was investigated by using the gravimetric oil removal (GOR) technique, which used ZFO-CTAB MNPs as oil absorbent material and four oil samples (crude, diesel, gasoline and used oil) as oil spill models. The antibacterial activity of ZFO-CTAB MNPs against Gram-negative bacteria (Pseudomonas aeruginosa, Escherichia coli and Salmonella typhi) was investigated by using the optical density method.

The results revealed that, when the amount of ZFO-CTAB was 0.01 g, gasoline oil had the highest GOR (51.80 ± 0.88 g/g) and crude oil had the lowest (11.29 ± 0.82 g/g). Furthermore, for Escherichia coli, Salmonella typhi and Pseudomonas aeruginosa, ZFO-CTAB MNPs inhibited bacterial growth with a higher percentage (94.24%–95.63%).

The applications of ZFO-CTAB MNPs in the cleanup of oil spills from aqueous solutions, as well as their antibacterial activity. The results showed that ZFO-CTAB MNPs are a promising material for removing oil spills from bodies of water as well as an antibacterial agent against Gram-negative bacterial strains.

The aim of this case study is to exemplify the application of a change story to facilitate the user centered introduction of an AI-based assistance system. Thereby, user expectations considered critical for technology acceptance and continuance intention are actively taken into account.

Semi-structured interviews are conducted with future users of the AI-based assistance system. Data are analysed by means of inductive and deductive qualitative content analysis. The resulting categories are considered as communicational core messages and included in the developed change story.

Paradox user expectations were revealed and answered in the change story by informational and motivational means. Thus, accurate expectation management is enabled and, additionally, the users are prepared for the upcoming change process, i.e., the implementation of the AI-based assistance system.

The added value lies in the psychological handling of expectation management in addition to technical aspects, which are usually primarily focused but are not sufficient to guarantee a successfully continued use of human-AI-systems.

Agricultural production in Honduras was devastated by the impact of hurricanes Eta and Iota in November 2020, placing people depending on agriculture in a vulnerable and food insecure situation. In addition to the COVID-19 pandemic and the economic downturn in the country, these extreme events are forcing more people to leave and head to North America in migrant caravans. Over the last decades, Honduras has been impacted by severe climate change events, including droughts and extreme tropical storms. According to the Global Climate Risk Index (CRI), developed by Germanwatch (Eckstein et al., 2019), Honduras was the second most affected country by climate change over a period of 20 years, from 1998 to 2017. Extreme rainfall and tropical storms, droughts, variation in rainfall patterns, and soil loss make agriculture more difficult, thus placing low-income rural families at the edge of hunger and food insecurity. In terms of migration policy, much focus has been given to economic instability, weak governance, violence and crime as push factors for migration, but the effect of food insecurity and climate change impact is often overlooked in this narrative. Agricultural areas in Honduras, traditionally the backbone of food production, have been identified as climate out-migration hotspots. The purpose of this chapter is to examine the most relevant data to understand the interactions between climate change, food insecurity and the current migration crisis in Honduras.

The use of multi-level labels can enhance product visibility by enabling labeling of various items. Moreover, it can better accommodate the diversity on both the producer and consumer sides. However, studies on the willingness to pay (WTP) for premium levels of those animal welfare labels are scarce.

We investigate consumers’ WTP for a four-level animal husbandry label introduced to the market by German retailers in 2019 by conducting an online survey with 1,223 German meat consumers using Van Westendorp’s price sensitivity meter (PSM).

There is a significant increase in WTP for level 3 of the husbandry label, but only a slight increase for level 4. One explanation is that consumers may have the mistaken belief that level 3 already includes outdoor access for animals. As a result of this expectation, consumers may not perceive much added value in level 4, which is reflected in their reluctance to pay a higher price. This is reinforced by the finding that once informed of the criteria, 18% of the participants reduced their WTP for level 3, whereas only 6% considered a discount for level 4. Furthermore, 40% were prepared to pay more for level 4 after being informed of the respective criteria than they had previously stated.

To the best of our knowledge, this study is the first to analyze and emphasize the importance of clear label communication, particularly for multi-level animal husbandry labels.

This chapter considers the current status of inclusive education in New Zealand in relation to the UN's Agenda 2030 initiative and Sustainable Development Goal 4 (SDG 4). It outlines the history of the development of special education and inclusive education in New Zealand and provides a critique of policies and practices regarding education for children with special educational needs and disabilities (SEND). Policies on inclusion are considered in relation to those in other developed countries, and recommendations are made for future policy and practice for the education of children with SEND.

Different age groups display different shopping patterns in terms of how and where consumers buy products. During times of crisis, such behavioural differences become even more striking yet remain under-researched with respect to elderly consumers. This paper investigates the impact of age on retail-related behavioural changes and behavioural stability of elderly shoppers (in comparison to younger consumers) during a crisis.

The authors surveyed 643 Austrian consumers to assess the impact of perceived threat on behavioural change and the moderating effect of age groups. Based on findings from this survey, they subsequently conducted 51 semi-structured interviews to understand the causes of behavioural change and behavioural stability during a crisis.

Elderly shoppers display more stable shopping behaviour during a crisis compared to younger consumers, which is influenced by perceived threat related to the crisis. Such findings indicate that elderly shoppers reinforce their learnt and embedded shopping patterns. The causes of change and stability in behaviour include environmental and inter-personal factors.

Through the lens of social cognitive theory, protection motivation theory and dual process theory, this research contributes to an improved understanding of changes in shopping behaviour of elderly consumers, its antecedents and consequences during a time of crisis. The authors reveal reasons that lead to behavioural stability, hence the absence of change, in terms of shopping during a crisis. They further outline implications for retailers that might wish to better respond to shopping behaviours of the elderly.

The purpose of this study is to offer a checklist that can be used for both creating and evaluating digital collections, which are also sometimes referred to as data sets as part of the collections as data movement, suitable for computational use.

The checklist was built by synthesising and analysing the results of relevant research literature, articles and studies and the issues and needs obtained in an observational study. The checklist was tested and applied both as a tool for assessing a selection of digital collections made available by galleries, libraries, archives and museums (GLAM) institutions as proof of concept and as a supporting tool for creating collections as data.

Over the past few years, there has been a growing interest in making available digital collections published by GLAM organisations for computational use. Based on previous work, the authors defined a methodology to build a checklist for the publication of Collections as data. The authors’ evaluation showed several examples of applications that can be useful to encourage other institutions to publish their digital collections for computational use.

While some work on making available digital collections suitable for computational use exists, giving particular attention to data quality, planning and experimentation, to the best of the authors’ knowledge, none of the work to date provides an easy-to-follow and robust checklist to publish collection data sets in GLAM institutions. This checklist intends to encourage small- and medium-sized institutions to adopt the collection as data principles in daily workflows following best practices and guidelines.