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Negative rumors damage the destination’s image and tourist experience. This study aims to compare how rumor correction sources (government vs business vs tourist) affect user online citizenship behavior (UOCB).

Based on the stimuli-organism-response framework, a hypothetical model was established from rumor correction to UOCB. Three scenario experiments (more than 1,000 valid samples) were designed. Study 1 illustrated the effects of different rumor corrections, Study 2 was designed to verify the mediating effects of sympathy and perceived information authenticity (PIA) and the robustness of results was demonstrated in Study 3.

Government correction elicited the highest sympathy and PIA. Business correction was less than tourist correction in arousing sympathy but better than tourist correction in enhancing PIA. Sympathy and PIA had a mediating effect on the relationship between rumor correction and UOCB.

This study helps to identify the different advantages of rumor correctors and provides insights to prevent the deterioration of negative tourism rumors or even reverse these crises.

This study innovates research perspective of negative tourism rumor governance, expands the understanding of the effect and process of rumor correction and enriches the research content of tourism crisis communication.

负面谣言破坏目的地形象和游客体验。本研究比较谣言纠正来源（政府、企业、游客）对用户在线公民行为的影响。

基于刺激-有机体-反应框架, 搭建谣言纠正到用户在线公民行为的假设模型, 并设计3个情境实验（超过1000个有效样本）。实验1验证不同谣言纠正来源的纠正效果, 实验2证明同情和感知信息真实性的中介作用, 实验3测试实验结果的稳健性。

政府纠正引发最高的同情和感知信息真实性。企业纠正在唤起同情时不足于游客纠正, 但在增强感知信息真实性时优于旅游纠正。同情和感知信息真实性在谣言纠正与用户在线公民行为之间发挥中介作用。

有助于识别各个谣言纠正主体的不同优势, 为防止旅游负面谣言恶化甚至转危为安提供见解。

为旅游负面谣言治理提供新的研究视角, 拓展了对谣言纠正效果和过程的认识, 丰富了旅游危机沟通的研究内容。

Los rumores negativos dañan la imagen del destino y la experiencia del turista. Este estudio compara cómo afectan las fuentes de corrección de rumores (gobierno vs empresas vs turista) en el comportamiento cívico online de los usuarios (CCOU).

Sobre la base del marco estímulo-organismo-respuesta, se estableció un modelo hipotético desde la corrección de rumores hasta el CCOU. Se diseñaron tres escenarios experimentales (más de 1.000 muestras válidas). El Estudio 1 ilustró los efectos de las diferentes correcciones de rumores, el Estudio 2 se diseñó para verificar los efectos mediadores de la simpatía y la autenticidad percibida de la información (API), y la solidez de los resultados se demostró en el Estudio 3.

La corrección del gobierno obtuvo la mayor simpatía y API. La corrección de la empresa despertó menos simpatía que la corrección del turista, pero fue mejor para generar API. La simpatía y la API tuvieron un efecto mediador en la relación entre la corrección del rumor y el CCOU.

Ayuda a identificar las diferentes ventajas de los correctores de rumores y proporciona información para prevenir el deterioro de los rumores turísticos negativos o incluso revertir estas crisis.

Proporciona una nueva perspectiva de investigación de la gobernanza del rumor turístico negativo, amplía la comprensión del efecto y el proceso de corrección de rumores y enriquece el contenido de la investigación de la comunicación de crisis turísticas.

This paper aims to conduct an interdisciplinary systematic literature review (SLR) of fake news research and to advance the socio-technical understanding of digital information practices and platforms in business and management studies.

The paper applies a focused, SLR method to analyze articles on fake news in business and management journals from 2010 to 2020.

The paper analyzes the definition, theoretical frameworks, methods and research gaps of fake news in the business and management domains. It also identifies some promising research opportunities for future scholars.

The paper offers practical implications for various stakeholders who are affected by or involved in fake news dissemination, such as brands, consumers and policymakers. It provides recommendations to cope with the challenges and risks of fake news.

The paper discusses the social consequences and future threats of fake news, especially in relation to social networking and social media. It calls for more awareness and responsibility from online communities to prevent and combat fake news.

The paper contributes to the literature on information management by showing the importance and consequences of fake news sharing for societies. It is among the frontier systematic reviews in the field that covers studies from different disciplines and focuses on business and management studies.

The emergency of the COVID-19 pandemic has affected organizations differently, leading to adopting alternative business operation models, including digital technologies. The rapid adoption of digital technologies during the COVID-19 pandemic demonstrates how adaptive technologies intersect with human and social institutions in potentially risky or inequitable ways. However, the sustenance of the digital transformations (DTs) induced by the COVID-19 crisis is still unclear. Thus, this study aims to evaluate the sustenance of DTs accelerated by the emergence of the COVID-19 pandemic response in the Tanzanian context amid the crisis.

The study used a qualitative approach that included a literature review and semi-structured interviews with Information and Communication Technology (ICT) personnel from selected public institutions in Tanzania. The interviews elicited interviewees’ perspectives on the following: the digital revolution that occurred during the COVID-19 outbreak; how it affects their work; and the country’s future digital landscape. Additionally, a literature analysis established and generalized the practices used by the governments during the COVID-19 crisis.

The results show that there is enormous, colossal press toward adopting digital solutions. The use of digital technologies, such as digital payments, e-commerce, telemedicine and online education, has attracted the attention of businesses and individuals in Tanzania. Consequently, the move has enabled the country to cope with the cascading impacts of the COVID-19 pandemic and progressive economic recovery to achieve its development goals. Furthermore, the findings offer policy strategies for taking the induced DTs to the next level and sustaining it.

This study reports the lessons from the DTs induced by COVID-19 and their sustenance. It also contributes toward forward-thinking reforms and policy measures that could help Tanzania and the likes harness the DTs'’ potential in the wake of the pandemic.

Swedish society has systematically worked to improve children's health and well-being since the early twentieth century and is considered a leading figure globally in battling violence against children. Awareness of violence against children and its detrimental effects on development and health is generally high in Sweden. Violence is also broadly recognised as a violation of human rights. A ban on corporal punishment was enacted in 1948 in social childcare institutions, in 1958 in schools, and in 1979 at home. The more recent landmark was the United Nations Convention on the Rights of the Child, established as law on 1 January 2020. In line with convention's Article 12, stating that a child has the right to express their views in all matters affecting them, more attention to child participation has been paid since 2020. This chapter provides several recent examples of strategic measures that have been used to enhance child participation in governmental assignments and enquiries and state-funded research. We discuss the examples considering the United Nations convention and child participation methods and pinpoint opportunities and obstacles to further develop and consolidate child participation as a norm in publicly funded societal activities.

Artificial intelligence (AI) allows the brand to co-create value with young customers through mobile apps. However, as many brands claim that their mobile apps are using the most updated AI technology, young customers face app fatigue and start questioning the authenticity of this touchpoint. This paper aims to study the mediating effect of authenticity for the value co-creation of AI-powered branded applications.

Drawing from regulatory engagement theory, this study conceptualize authenticity as the key construct in customers’ value experience process, which triggers customer value co-creation. Two scenario-based online experiments are conducted to collect data from 444 young customers. Data analysis is performed using ANOVA and Process Hayes.

The results reveal that perceived authenticity is an important mediator between media richness (chatbot vs AI text vs augmented reality) and value co-creation. There is no interaction effect of co-brand fit (high vs low) and source endorsement (doctor vs government) on the relationship between media richness and perceived authenticity, whereas injunctive norms (high vs low) strengthen this relationship.

The finding provides insights for marketing managers on engaging young customers suffering from app fatigue. Authenticity holds the key to young customers’ technological perceptions.

This research highlights the importance of perceived authenticity in encouraging young customers to co-create value. Young customers consider authenticity as a motivational force experience that involves customers through the app’s attributes (e.g. media richness) and social standards (e.g. norms), rather than brand factors (e.g. co-brand fit, source endorsement).

In spite of the merits of artificial intelligence (AI) in marketing and social media, harm to consumers has prompted calls for AI auditing/certification. Understanding consumers’ approval of AI certification entities is vital for its effectiveness and companies’ choice of certification. This study aims to generate important insights into the consumer perspective of AI certifications and stimulate future research.

A literature and status-quo-driven search of the AI certification landscape identifies entities and related concepts. This study empirically explores consumer approval of the most discussed entities in four AI decision domains using an online experiment and outline a research agenda for AI certification in marketing/social media.

Trust in AI certification is complex. The empirical findings show that consumers seem to approve more of non-profit entities than for-profit entities, with the government approving the most.

The introduction of AI certification to marketing/social media contributes to work on consumer trust and AI acceptance and structures AI certification research from outside marketing to facilitate future research on AI certification for marketing/social media scholars.

For businesses, the authors provide a first insight into consumer preferences for AI-certifying entities, guiding the choice of which entity to use. For policymakers, this work guides their ongoing discussion on “who should certify AI” from a consumer perspective.

To the best of the authors’ knowledge, this work is the first to introduce the topic of AI certification to the marketing/social media literature, provide a novel guideline to scholars and offer the first set of empirical studies examining consumer approval of AI certifications.

Video game streaming (VGS) is emerging as an extremely popular, highly interactive, inordinately subscribed and very dynamic form of digital media. Incorporated environmental elements, gratifications and user pre-existing attitudes in VGS, this paper presents the development of an extended model of uses and gratification theory (EUGT) for predicting users' behavior in novel technological context.

The proposed model was empirically tested in VGS context due to its popularity, interactivity and relevance. Data collected from 308 VGS users and structural equation modeling (SEM) was employed to assess the hypotheses. Multi-model comparison technique was used to assess the explanatory power of EUGT.

The findings confirmed three significant types elements in determining VGS viewers' engagement, including gratifications (e.g. involvement), environmental cues (e.g. medium appeal) and user predispositions (e.g. pre-existing attitudes). The results revealed that emerging technologies provide potential opportunities for new motives and gratifications, and highlighted the significant of pre-existing attitudes as a mediator in the gratification-uses link.

This study is one of its kind in tackling the criticism on UGT of considering media users too rational or active. The study achieved this objective by considering environmental impacts on user behavior which is largely ignored in recent UGT studies. Also, by incorporating users pre-existing attitudes into UGT framework, this study conceptualized and empirically verified the higher explanatory power of EUGT through a novel multi-modal approach in VGS. Compared to other rival models, EUGS provides a more robust explanation of users' behavior. The findings contribute to the literature of UGT, VGS and users' engagement.

Drawing on the adapted unified theory of acceptance and use of technology (UTAUT2) framework in the bottom of pyramid (BoP) context, this paper examines the number of causal recipes that foster m-health adoption in a developing country (Bangladesh). This paper aims to propose an extended UTAUT2 model along with identifying the necessary and sufficient factors affecting the m-health adoption intention in the BoP market.

The research model was empirically tested, combining two approaches: structural equation modelling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA). Data were collected from 221 housemaids and female security guards who earn around US$6 per day.

The SEM results revealed that while performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions, perceived cost (PC) and technology anxiety (TA) significantly influence the behavioural intention of BoP markets, hedonic motivation is the non-significant predictor. The fsQCA revealed that the two necessary conditions, PC and SI, can be combined with TA to increase the possibility of the success of m-health adoption in the BoP market.

For practitioners concerned with fostering the m-health adoption intention in BoP markets, the present study, which points out equifinality, recommends integrating the PC and SI in several combinations with PE, EE and TA.

To the best of the authors’ knowledge, no previous studies using the UTAUT2 theory examined the m-health services in the BoP market. This study contributes empirical data to the predominantly theoretical literature by offering a deeper understanding of the inclusion of TA and PC in several combinations with other UTUAT2 factors as predictors for explaining the m-health adoption intention of BoP markets.

The present work has proposed and employed an innovative hybrid method based on the combination of factor analysis and an artificial neural network (ANN) model to forecast customer satisfaction from the identified dimensions of service quality in India, a developing country.

The qualitative study is conducted with Internet banking users to understand e-banking clients' perceptions. The data is collected with the help of a questionnaire from randomly selected 208 customers in India. Firstly, factor analysis was performed to determine the influential factors of customer satisfaction, and four factors i.e. efficiency, reliability, security and privacy, and issue and problem handling were extracted accordingly. The neural network model is then applied to the factor scores to validate the key elements. Lastly, the comparative analysis of the actual ANN and the regression predicted result is done.

The success ability of the linear regression model is challenged when approximated to nonlinear problems such as customer satisfaction. It is concluded that the ANN model is a better fit than the linear regression model, and it can recognise the complex connections between the exogenous and endogenous variables. The results also show that reliability, security and privacy are the most influencing factors; however, problem handling and efficiency have the slightest effect on bank client satisfaction.

This research is conducted in India, and the sample is chosen from the urban area. The limitation of the purposeful sampling technique and the cross-sectional nature of the data may hamper the generalisation of the results.

The conclusions from the study will be helpful for policymakers, bankers and academicians. To our knowledge, few studies used ANN modelling to predict customer satisfaction in the service sector

The purpose of this paper is to discuss a social constructionist point of view about mental health in contrast to the medical model.

This is a discussion paper bringing together two systems of thought concerning mental health and its origins.

It is not clear that there is any substantive evidence to support the medical model of mental illness.

Researchers may be helped to consider a qualitative approach to knowledge rather than the traditional positivist approach.

This paper will help people to think about mental health in a way that is not orthodox.

It will bring an understanding that even though mental illness is not an illness in the traditional sense, there is still no blame or shame associated with it.

The author is an active operational senior manager at a user-led community mental health organisation with over 20 years’ experience in the field. The organisation and its services track a social constructionist philosophy.