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The literature review explores how multidisciplinary approaches based on critical pedagogy and participatory research can provide frameworks for equitable partnerships and genuine participation in educational design and research practices. Additionally, the essay aims to expand understandings of equitable engagement within educational research and design based on principles from critical pedagogy.

The essay draws from diverse literature in the learning sciences, health informatics, industrial design, disability studies, ethnic studies, rehabilitation science, and to a lesser extent HCI research to understand how critical pedagogy and participatory research methods can provide useful frameworks for disabled peoples' equitable engagement and genuine participation in educational research and design. The literature reviewed in the paper concern topics such as participatory approaches to community development with disabled adults, the implementation of university-initiated community partnerships, participatory research with students and disabled people, and the importance of culturally-responsive research practices. The design literature in this review explores various arenas such as the co-design of assistive technologies with disabled children and adults and the design of curricula for students with and without disabilities. This review focuses on research practices that engender disabled peoples' participation in educational research and design, with focus on developing multidisciplinary frameworks for such research.

The literature review concludes that participatory research methods and critical pedagogy provide useful frameworks for disabled peoples’ participation in educational design and research practices. Critical pedagogy and participatory design allow for the genuine participation of disabled people in the research process.

Emphases on collaboration and collective knowledge-building in social transformation are present in scholarship concerning critical pedagogy, participatory research, and disability studies. However, these connections have been routinely underexplored in the literature. This paper aims to underscore these integral connections as a means to build solidarity between disabled and other marginalized people.

The connections between participatory research methods, critical pedagogy, and disability studies have been previously underexplored. The literature review proposes a combined approach, which has the potential to radically transform multiple realms of research beyond the learning and information sciences.

Social recommendation has been recognized as a kind of e-commerce with large potential, but how social recommendations influence consumer decisions is still unclear. This paper aims to investigate how recommendations from different social ties influence consumers’ purchase intentions through both behavior and brain activity.

Utilizing behavioral (N = 70) and electroencephalogram (EEG) (N = 49) experiments, this study explored participants’ behavior and brain responses after being recommended by different social ties. The data were analyzed using statistical inference and event-related potential (ERP) analysis.

Behavioral results show that social tie strength positively impacts purchase intention, which can be fitted by a logarithmic model. Moreover, recommender-to-customer similarity and product affect mediate the effect of tie strength on purchase intention serially. EEG findings show that recommendations from weak tie strength elicit larger N100, N200 and P300 amplitudes than those from strong tie strength. These results imply that weak tie strength may motivate individuals to recruit more mental resources in social recommendation, including unconscious processing of consumer attention and conscious processing of cognitive conflict and negative emotion.

This study considers the effects of continuous social ties on purchase intention and models them mathematically, exploring the intrinsic mechanisms by which strong and weak ties influence purchase intentions through recommender-to-customer similarity and product affect, contributing to the applications of the stimulus-organism-response (SOR) model in the field of social recommendation. Furthermore, our study adopting EEG techniques bridges the gap of relying solely on self-report by providing an avenue to obtain relatively objective findings about the consumers’ early-occurred (unconscious) attentional responses and late-occurred (conscious) cognitive and emotional responses in purchase decisions.

The purpose is to understand the fundamental mechanism of the consumer decision-making process and how perceived financial risk of search and experience goods influences electronic word-of-mouth adoption (e-WOMA) on social networking sites (SNSs), which will lead to purchase intention.

Drawing on information processing theory, the study conceptualizes a moderated mediation model to investigate the underlying influence of perceived financial risk and online social ties on e-WOMA and the subsequent effect on online purchase intention. Survey data from 275 individuals were analyzed through statistical tools using Statistical Package for the Social Sciences (SPSS).

The results revealed that e-WOMA mediates the effect of perceived financial risk of search and experience goods on online purchase intention. Strength of online social ties on SNSs positively moderates the electric word of mouth adoption for both the experience and search goods.

The limitation of this study was about the researcher's restrictions related to the length of the survey. Moreover, causal explanations can't be deduced as this is a cross-sectional study.

This research offers insight into the consumers that allow marketers to dive into the target market. Marketers should focus on social ties importance while selling products/services of markets online.

The study is novel in the context of an emerging economy to educate marketers on the product categorization of search goods and experience goods based on financial risk.

This study aims to understand the extent of privacy concerns regarding voice-activated personal assistants (VAPAs) on Twitter. It investigates three key areas: (1) the effect of privacy-related press coverage on public sentiment and discussion volume; (2) the comparative negativity of privacy-focused conversations versus general conversations; and (3) the specific privacy-related topics that arise most frequently and their impact on sentiment and discussion volume.

A dataset of 441,427 tweets mentioning Amazon Alexa, Google Assistant, and Apple Siri from July 1, 2019 to June 30, 2021 were collected. Privacy-related press coverage has also been monitored. Sentiment analysis was conducted using the dictionary-based software LIWC and VADER, whereas text mining packages in R were used to identify privacy-related issues.

Negative privacy-related news significantly increases both negativity and volume in Twitter conversations, whereas positive news only boosts volume. Privacy-related tweets were notably more negative than general tweets. Specific keywords were found to either increase or decrease the sentiment and discussion volume. Additionally, a temporal evolution in sentiment, with general attitudes toward VAPAs becoming more positive, but privacy-specific discussions becoming more negative was observed.

This research augments the existing online privacy literature by employing text mining methodologies to gauge consumer sentiments regarding privacy concerns linked to VAPAs, a topic currently underexplored. Furthermore, this research uniquely integrates established theories from privacy calculus and social contract theory to deepen our analysis.

The current paper aims at exploring negative aspects in reviews about Airbnb listings in Athens, Greece.

The aspect-based sentiment approach (ABSA), a subset of sentiment analysis, is used. The study analyzed 8,200 reviews, which had at least one negative aspect. Based on dependency parsing, noun phrases were extracted, and the underlying grammar relationships were used to identify aspect and sentiment terms.

The extracted aspect terms were classified into three broad categories, i.e. the location, the amenities and the host. To each of them the associated sentiment was assigned. Based on the results, Airbnb properties could focus on certain aspects related to negative sentiments in order to minimize negative reviews and increase customer satisfaction.

The study employs the ABSA, which offers more advantages in order to identify multiple conflicting sentiments in Airbnb comments, which is the limitation of the traditional sentiment analysis method.

Due to the high rate of failure of most crowdfunding projects, knowing the most essential factor to obtain funding success on the crowdfunding platform is of great importance for fund seekers on the crowdfunding platform. The purpose of this study is to explore crowdfunding success factors to know the most essential success factor for stakeholders of the crowdfunding platform to make the best decision when seeking funds on the crowdfunding platform. This study identified and ranked crowdfunding success factors for stakeholders of crowdfunding platforms. Sixteen factors were identified and categorized under five broad headings. These were; project ideas, target capital, track records, geographical proximity and equity.

To rank the identified crowdfunding success factors and subfactors, this study used the Multi-Objective Optimization Based on Ratio Analysis (MULTIMOORA) integrated with the Evaluation based on Distance from Average Solutions (EDAS).

Target capital ranked first among the five categories—while duration involved in raising funds ranked first among the sixteen subfactors. An approach for analyzing how each success factor enhances a crowdfunding campaign was developed in this study. This study provides valuable insight to fund seekers on the crowdfunding platform on how funding success can be achieved by knowing which factor to consider essential when seeking funds on the crowdfunding platform.

This is the first study to explore crowdfunding success factors using the MULTIMOORA-EDAS method. The use of this method will help fund seekers on the crowdfunding platform to know which crowdfunding success factor is essential, thereby aiding fund seekers to make the best decision when seeking funds on the crowdfunding platform. Also, this study is particularly helpful for business owners, platform operators and policymakers when deciding how to allocate resources, plan campaigns and implement regulations.

Past research often relies on linear relationship assumptions from the perspective of managers when studying the relationship between attribute performance and satisfaction. However, this study extracts tourists’ online reviews to explore asymmetric relationships and identifies island tourism satisfiers, hybrids and dissatisfiers.

The research uses 3,523 reviews from Tripadvisor to examine Langkawi Island’s tourist satisfaction. Latent Dirichlet allocation (LDA) machine-learning approach, penalty–reward contrast analysis and asymmetric impact-performance analysis (AIPA) were employed to extract and analyse the data.

Langkawi’s dissatisfiers included “hotel and restaurant”, “beach leisure”, “water sport”, “snorkelling”, “commanding view”, “waterfall”, “sky bridge walk”, “animal show”, “animal feeding”, “history culture”, “village activity” and “duty-free mall”. Amongst these, five were low performers. Hybrids encompassed “ticket purchasing”, “amenity” “traditional food market” and “gift and souvenir”, all of which were low performers. Only one attribute was categorised as a satisfier: “nature view” which performed exceptionally well.

This study provides recommendations to enhance tourist satisfaction and address tourist dissatisfaction. The elements requiring immediate attention for enhancement are the five low-performance dissatisfiers, as they represent tourists’ fundamental expectations. Conversely, the satisfier or excitement factor (i.e. nature views – mangroves and wildlife) could be prominently featured in promotional materials.

This research constitutes an early endeavour to categorise attributes of island tourism into groups of satisfaction, hybrid or dissatisfaction based on user-generated data. It is underpinned by two-factor and three-factor theories.

Built upon customer engagement marketing theory and uses and gratification theory, this study examines the link between individual social media marketing (SMM) performance indicators and restaurant sales performance at the firm level. Moreover, the study investigates the moderating effect of advertising expenditure on this proposed relationship.

Random effect regression models were developed in Stata to examine the associations between SMM performance indicators, advertising expenditure, and restaurant firm revenue. Twelve years of SMM data from brands' Facebook pages were collected with a web scraper built in Python. Natural language processing was used to analyze the sentiment of user-generated content (UGC).

The results suggest that restaurant annual sales revenue increases as the volume of brand posts, “like”s, “share”s and positive comments on restaurants' Facebook pages increase. However, the total number of comments and the number of negative comments show non-significant associations with revenue. Firm advertising expenditure negatively moderates the relationships between sales revenue and the number of “like”s, “share”s, total comments and positive comments.

Restaurants benefit from making frequent posts on SNSs. Promotions that motivate online users to “like”, share, and comment on brand posts should be implemented. Firms with limited advertising budgets are encouraged to actively create buzz on SNSs due to evidenced stronger effects of UGC on sales performance than large advertisers.

This research bridges the gap by studying the effects of individual SMM performance indicators on restaurant financial outcomes. The findings support the effectiveness of SMM; and, for the first time, demonstrate that SMM could generate a more profound impact for firms with low advertising budgets.

Knife crime and serious violent crime (SVC) among youth has been growing at an alarming rate in the UK (Harding and Allen, 2021). Community and school-based intervention and prevention services to tackle knife crime are being developed with some evaluation; however, these are independent and of varied quality and rigour. Therefore, the purpose of this study is to record the approaches being developed and synthesise existing evidence of the impact and effectiveness of programmes to reduce knife crime. In addition, the complex factors contributing to knife crime and SVC are discussed.

A systematic approach was used to conduct this knife crime intervention evidence review using two search engines and four databases. Inclusion and exclusion criteria were applied to ensure focus and relevance. The results of searches and decisions by the research team were recorded at each stage using Preferred Reporting Items for systematic reviews and meta-analyses (PRISMA).

Some evidence underpins the development of services to reduce knife crime. Much of the evidence comes from government funded project reports, intervention and prevention services reports, with few studies evaluating the efficacy of intervention programmes at present. Some studies that measured immediate impact in line with the programme’s aims were found and demonstrated positive results.

This systematic review specifically synthesised the evidence and data derived from knife crime and weapon carrying interventions and preventions, integrating both grey and published literature, with a novel discussion that highlights the importance of outcome evaluations and issues with measuring the success of individual level interventions and their contributions to the overall reduction of violence.

This study asks whether external auditors enable the transfer of policies to the United Nations organizations that they audit and, if so, what types of policies are transferred.

The empirical research is based on a content analysis of 512 external auditor recommendations from 28 pre- and post-accrual reports of 14 UN bodies.

We find that external auditors do enable policy transfer and that such involvements may, at times, veer into non-neutral policy spaces.

We did not analyze all UN organizations with accruals-based accounting. We also did not engage in a longer longitudinal study.

Our findings raise new questions about international organization accountability, the technocratic and policy-specific influences of external auditors, and open a debate about whether attempted policy transfers can be neutral.

The world’s largest group of international organizations is affiliated with the UN. External auditors help ensure that member-state monies are appropriately utilized. Our study is the first to compare pre- and post-accrual external auditor recommendations for 14 UN bodies. It is also the first to notate and study the attempted policy transfers from external auditors to the audited UN bodies.