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Child-to-Child (C-to-C) approach is an evidence-based approach that ensures the child’s participation in bringing about positive changes in healthcare. By systematically investigating the literature, the study aimed to evaluate the effectiveness of the approach and recognize associated themes, methodologies and outcomes.

An extensive search on PubMed, ProQuest, Cochrane and Dimensions AI databases was performed for original research articles on C-to-C intervention, with no time and geographical restrictions. Following PRISMA and PICO, the Joanna Briggs Institute (JBI) critical appraisal tool assessed the studies. A data tabulation technique was used to summarize these studies.

The approach shows promising results in enhancing children’s understanding of health issues and their participation in community health promotion. This, in turn, encourages the adoption of better healthcare practices and shows improved health outcomes.

Further research is required to understand the long-term impact of the approach on populations from diverse socioeconomic statuses in different study settings.

The findings will be helpful for practitioners, educators, policymakers and other stakeholders in creating more successful and effective C-to-C intervention programs to make informed decisions, achieve sustainable behavior change and improve health.

The originality of this review paper is evident in its unique focus on the C-to-C approach, which empowers children not only as recipients of health education but also as active contributors to promoting health. Further, the present research also explores the intricacies of how children learn from each other, offering new insights into effective educational practices.

Tuberculosis (TB) continues to c-exist with humans despite many TB control programs and elimination strategies. This depicts that some barriers are not allowing achieving the desired results. The current study aims to focus on identification and ranking of such barriers to facilitate TB control programs in developing countries.

In the present study, 13 barriers that can influence success rate of TB elimination strategies have been recognized with an in-depth assessment of related literature and opinions of specialists from medical industry and academic world. The interpretive structural modeling (ISM) and decision-making trial and evaluation laboratory (DEMATEL) techniques have been employed for the ranking of barriers.

Based on driving power of barriers, the study coined that underinvestment is a major barrier followed by poor implementation of government policies and programs, poverty and poor primary health care infrastructure.

The findings may guide healthcare service providers and researchers in analyzing the barriers and understanding the necessity of further advancements to decrease the count of already existing and incident cases.

Policy- and decision-makers may utilize the information on dependence and driving power of barriers for better planning and effective execution of TB control strategies.

Although a lot of literature is available on different barriers that are affecting success of TB strategies, the current study analyzes all the key barriers collectively for the prioritization of barriers.

Numerous studies have examined factors influencing electronic word of mouth (eWOM) providing behaviour. The volume of extant research and inconsistency in some of the findings makes it useful to develop an all-encompassing model synthesising results. Therefore, the purpose of this study is to synthesise findings from existing studies on eWOM by using meta-analysis, which will help to reconcile conflicting findings of factors affecting consumers’ intention to engage in eWOM communications.

The findings from 51 studies were used for meta-analysis, which was undertaken using comprehensive meta-analysis software.

Factors affecting eWOM providing behaviour were divided into four groups: personal conditions, social conditions, perceptual conditions and consumption-based conditions. The results of the meta-analysis showed that out of 20 identified relationships, 16 were found to be significant (opinion seeking, information usefulness, trust in web eWOM services, economic incentive, customer satisfaction, loyalty, brand attitude, altruism, affective commitment, normative commitment, opinion leadership, self-enhancement, information influence, tie strength, homophily and community identity).

One of the limitations of this study is that the studies for this research were collected the only form from Web of Science, Scopus and Business Source such as databases, which result in a limited number of studies available for weight and meta-analysis. A wider range of databases should be used by future research. Also, this study only considered quantitative studies and excluded qualitative studies. Thus, future studies could include both types of studies in the meta-analysis.

By focussing on the best predictors of intention to provide eWOM communications (e.g. self-enhancement and trust in web eWOM services) managers can improve reader engagement and information assimilation. Knowing motivations to engage in eWOM helps platform operators design their service in a more customer-oriented way. By better understanding motivations to engage in eWOM communications marketers and researchers can influence individuals’ online information assimilation which can affect consumer purchase decisions, customer loyalty and consumer commitment to the community.

Applying meta-analysis helped the reconciliation of conflicting findings, enabled investigation of the strengths of the relationships between motivations and eWOM providing behaviour and offered a consolidated view. The results of this study facilitate the advancement of current knowledge of information dissemination on the internet, which can influence consumer purchase intention and loyalty.

Under the sunlight of social commerce, few concepts have blossomed like value co-creation. But when blurred strategies are implemented, the opportunity to wilt a brand is high. To avoid the miscues and the controversies, an ascendant step is to engage consumers with social commerce sites. The purpose of this paper is to propose three antecedents to engage consumers with social commerce sites, namely, social support, social commerce value and social commerce information sharing, and the effect of brand engagement on the intention of brand co-creation.

This study used survey data from 234 Iranians with experience using social commerce sites. Variance-based structural equation modeling using the partial least squares path modeling approach was adopted to analyze the structural model.

The authors found that social support, social commerce value and social commerce information sharing positively foster brand engagement. The study also revealed that brand engagement is a significant predictor of brand co-creation intention.

The study is the first study that considers and explains brand engagement from social support theory, social commerce value theory and social commerce information exchange. Also, the study shows how consumers can be an integral part of a brand. Unlike other studies which were done in industrialized countries, this study was employed in Iran.

The purpose of this study is to propose a theoretical model of how content-related factors, social factors and perceptual factors influence consumer engagement in brand social networking sites (SNSs) pages and further how consumer engagement behavior influences the customer–organization relationship.

This study used an online and offline questionnaire to conduct empirical research and collected and analyzed data of 430 samples by using the structural equation modeling approach.

The result showed that all three factors, i.e. content-related factors, social factors and perceptual factors, had positive influence on consumer engagement. Further, the result also showed a positive influence of consumer engagement on the customer–organization relationship. Another important thing the study found was that social media users mostly engage in consuming the content and contributing.

This study has considered one popular SNS: Facebook. As the usage purpose and features of different SNSs vary, the future research should be directed by taking other popular SNSs, such as Twitter and LinkedIn, to gain a broader insight of consumer engagement on other brand SNS pages. Further, the present study has stressed on the exploring the quality of customer–organization relationship as the major outcome of consumer engagement on brand SNS pages. Therefore, the future study should be directed toward measuring the relationship between consumer engagement and other important outcomes, such as brand advocacy behaviors, positive word-of-mouth behaviors and brand loyalty.

This paper suggests strategies for consumer engagement through SNSs, especially Facebook advertisements. First, the study has identified content-related factors, social factors and perceptual factors which will help the managers to set strategies for engaging new and prospective consumers on brand SNS pages. Second, it also describes how the online activities of consumers on brand SNS pages strengthen the relationship between customer and organizations. This conception will definitely help marketing managers to develop quality relationship with their existing and new customers.

The novelty of this study is that it attempts to explore the combined effect of content-related factors, social factors and perceptual factors on consumer engagement and also explores the nature and specific types of engagement behavior on brand SNS pages.

The purpose of this paper is to explore the levels social media (SM) platforms are influencing consumer decision-making process for Generation X and Y consumers in the retail fashion environment.

This study adopts an interpretive, exploratory approach, applying a qualitative design. The research involved eight in-depth interviews and two focus groups in order to gain in-depth insights of two generational cohorts opinions, arguments, motivations and ideas.

The findings revealed that consumers use a variety of internal and external motivations that influence their behaviours and perceptions of high-street fashion retailers, and these factors are aided and facilitated by the use of SM. However, the research also revealed that SM is not the only source that motivates their consumer decision-making process, and with the proliferation of active users on SM, these platforms are (and will continue to have) an ever more increasing impact on consumer decision-makings. Participants were found to actively use SM to gain inspiration and information regarding high-street fashion retailers, however their final intentions to purchase were not as highly influenced by the content produced as previously expected.

Prior to consumers’ making any decisions they are impacted by various stimuli, however, with the proliferation of active users on SM, the influence these platforms unconsciously have on consumer behaviour is vast. Therefore, suggesting that consumers are not as predictable as traditional consumer decision-making process (CDMP) theory postulates. Although thought processes do appear to exist, consumers now demonstrate a much more complex process, which create multiple layers of motivations where internal and external factors overlap.

The findings of this study present valuable implications for high-street fashion marketers and are anticipated to enhance and deepen fashion marketers understanding of CDMP when using SM. Thus, they must strive to understand and provide relevant content to consumers’, not only for Generation Y but also Generation X, responding to quickly changing consumer demands and expectations with both of these cohorts. Overall, these findings propose that high-street fashion retailers on SM must understand the complexity of internal and external factors motivating consumers to interact with retailers online and off, and therefore, generating added value for their consumers. This is useful within marketing practises.

This paper gives some clarity and insight into the motivations of consumers in the fashion retail environment, from a digital influential perspective.

The findings concluded that SM has created a consumer that can be impacted at any stage of the decision process and has added to the research regarding unplanned consumer behaviour. Participants behaviours were stimuli-driven and user-controlled. Therefore, this had a larger impact on inspiration as opposed to modifying their behaviours to align exactly with trends or products.

The purpose of this paper is to present a modified version of the non-dominated sorted genetic algorithm with an application in the design optimization of a power inductor for magneto-fluid hyperthermia (MFH).

The proposed evolutionary algorithm is a modified version of migration-non-dominated sorting genetic algorithms (M-NSGA) that now includes the self-adaption of migration events- non-dominated sorting genetic algorithms (SA-M-NSGA). Moreover, a criterion based on the evolution of the approximated Pareto front has been activated for the automatic stop of the computation. Numerical experiments have been based on both an analytical benchmark and a real-life case study; the latter, which deals with the design of a class of power inductors for tests of MFH, is characterized by finite element analysis of the magnetic field.

The SA-M-NSGA substantially varies the genetic heritage of the population during the optimization process and allows for a faster convergence.

The proposed SA-M-NSGA is able to find a wider Pareto front with a computational effort comparable to a standard NSGA-II implementation.