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Based on the cognition–affect–conation pattern, this study explores the factors that affect the intention to use facial recognition services (FRS). The study adopts the driving factor perspective to examine how network externalities influence FRS use intention through the mediating role of satisfaction and the barrier factor perspective to analyze how perceived privacy risk affects FRS use intention through the mediating role of privacy cynicism.

The data collected from 478 Chinese FRS users are analyzed via partial least squares-based structural equation modeling (PLS-SEM).

The study produces the following results. (1) FRS use intention is motivated directly by the positive affective factor of satisfaction and the negative affective factor of privacy cynicism. (2) Satisfaction is affected by cognitive factors related to network externalities. Perceived complementarity and perceived compatibility, two indirect network externalities, positively affect satisfaction, whereas perceived critical mass, a direct network externality, does not significantly affect satisfaction. In addition, perceived privacy risk generates privacy cynicism. (3) Resistance to change positively moderates the relationship between privacy cynicism and intention to use FRS.

This study extends knowledge on people's use of FRS by exploring affect- and cognitive-based factors and finding that the affect-based factors (satisfaction and privacy cynicism) play fully mediating roles in the relationship between the cognitive-based factors and use intention. This study also expands the cognitive boundaries of FRS use by exploring the functional condition between affect-based factors and use intention, that is, the moderating role of resistance to use.

From a consumer–brand relationship (CBR) perspective, this study proposes a serial multiple mediation model to explore the pathways (e.g. cognitive, affective and hybrid) to increase online celebrity brand equity (OCBE) and follower's hotel booking intentions (FBI).

Paper-based and online surveys were used to collect data from 443 respondents who had been using TikTok and had followed at least one online celebrity on TikTok, while that online celebrity had reviewed one or more types of accommodation. A serial multiple mediation model was evaluated through covariance-based structural equation modeling.

The results confirmed the hybrid cognitive–affective and cognitive–affective–conative pathways among antecedents and components of OCBE and FBI.

From a CBR perspective, this study provides a serial multiple mediation model to increase OCBE via hybrid cognitive–affective pathways and to drive FBI via cognitive–affective–conative pathways. These sequential relationships contribute to the human branding literature by defining a mechanism of how online celebrities can efficiently attract followers, thus driving online celebrity brand loyalty and hotel booking intentions.

The results should be validated in other cultural contexts to generalize findings and broaden the range of target respondents to include international followers and those within other nations.

This research investigates apparel consumers' psychological and behavioral responses to omnichannel (OC) integration. Specifically, the study applies the cognitive–affective–conative (CAC) model to reveal consumers' decision-making process under the impact of channel integration quality (CIQ), perceived fluency (PF) and cognitive and affective trust (AT).

Primary data were collected through an online survey. In total, 657 eligible responses were received. This study applied partial least square structural equation modeling for data analysis.

The findings demonstrate that the extrinsic cognitive factor, CIQ, substantially affects consumers' intrinsic cognition (cognitive trust [CT] and PF), which consequently fosters consumers' AT and shopping intentions. Specifically, integrated promotion and transaction information positively affects CT, while integrated product and price and information access negatively impact CT. All the dimensions of CIQ, except integrated promotion (IP), significantly affect PF. CT and AT exhibit mediation effects in the CAC model.

Apparel brands and retailers may apply the findings to effectively design their retail channels and implement channel integration to boost consumers' shopping intentions and trust.

This study is one of the pioneering studies applying the CAC model to empirically examine OC consumers' decision-making process. It is also among the first to determine that cognitive and AT have theoretical distinctions in the OC retailing setting.

Drawing on social cognitive career theory (SCCT), this study aims to examine how university students’ attitude towards entrepreneurship education (ATEE) consists of affective, cognitive and behavioral components influences their entrepreneurial intentions. It further examines the role of entrepreneurial self-efficacy (ESE) as a mediator and social norms as a moderator in the ATEE – entrepreneurial intentions and – ESE relationships, respectively.

A sample of 428 university students from the new generational cohort entering workforce now (i.e. generation Z) from the four main cities of the province of Punjab, Pakistan, were considered using an online administered questionnaire. The study analyzes data using SPSS v25 and AMOS v22 and presents descriptive statistics, reliability, validity analysis and linear regression analysis. Furthermore, to test mediation and moderation hypotheses, Hayes’ PROCESS macro v3.0 was used.

The results confirm that individuals’ ATEE based on affective, cognitive and behavioral components have significant influence on entrepreneurial intentions. The findings also confirm the strong mediating role of ESE between the components of ATEE and entrepreneurial intentions. Furthermore, the conditional effects results confirm that social norms strengthened the positive relationships between the affective, behavioral and cognitive components of ATEE – ESE at three levels (low, medium and high).

This study is the first of its nature to unlock the missing link between ATEE’s components and entrepreneurial intentions using the theoretical foundations of SCCT. Furthermore, this study provides theoretical and practical implications specifically considering a developing country – Pakistan.

Although tourism destination image is a widely studied subject, the perspective of local players is generally neglected, albeit its relevance for informing the positioning and brand management strategies of the places is recognized. This chapter aims to determine the perceptions of key local public organizations from the historical-cultural and heritage sectors and companies linked to commerce and tourism (private sector) about the historic center of a United Nations Educational, Scientific, and Cultural Organization (UNESCO) World Heritage site in Brazil. The results of this investigation contribute to the development of marketing and tourism development strategies in historic towns, especially those classified as World Heritage by UNESCO.

This study aims to explore spectators' awareness of and attitudes toward sponsoring firms as well as to propose a model predicting their purchase and word-of-mouth (WOM) intentions toward the sponsors of a major sporting event during a pandemic crisis.

A quantitative method was used to collect the data, with 1,259 questionnaires being effectively collected and analyzed using SPSS and AMOS. Exploratory factor analysis (EFA), confirmatory factor analysis (CFA), path analysis and structural equation modeling (SEM) were used to analyze the data.

Factors such as sports involvement, sincerity, social media use, beliefs about sponsorship, sponsor's image, Covid-19 beliefs and emotions, awareness of and attitude toward sponsors were found to significantly predict spectators' purchase and WOM intentions.

The results support the structural equation model, providing a multidisciplinary conceptual framework that highlights the significance of comprehending the role of significant factors in sponsorship efficiency during the Covid-19 crisis. The proposed framework adds to the knowledge corpus of this field.

This study aims to reveal how mobile app stickiness is formed and how the stickiness formation process differs for apps of different social levels.

This study proposed and validated a stickiness formation model following the cognitive–affective–conative framework. Data were collected from surveys of 1,240 mobile app users and analyzed using structural equation modeling. Multigroup analysis was applied to contrast the stickiness formation process among apps of different social levels.

This study revealed a causal link between cognitive, affective and conative factors. It found partial mediation effects of trust in the association between perceptions and satisfaction, and the full mediation role of satisfaction and personal investment (PI) in the effects of subjective norm (SN) on stickiness. The multigroup analysis results suggested that social media affordances benefit stickiness through increased PI and strengthened effects of SN on PI. However, it damages stickiness through increased perceived privacy risk (PPR), decreased trust and strengthened effects of PPR on trust.

This study contributes to both stickiness scholars and practitioners, as it builds a model to understand the stickiness formation process and reveals the effects of the “go social” strategy. The novelty of this study is that it examined social influences, considered privacy issues and revealed two mediation mechanisms. The findings can guide the improvement of mobile app stickiness and the application of the “go social” strategy.

The purpose of this study is to consolidate the fragmented research on augmented reality (AR) as a marketing tool and provide a comprehensive understanding of its possible marketing applications.

The study conducted a systematic review and bibliometric analysis of 103 papers on AR-marketing to identify the most prevalent topics and conceptual frameworks. Performance analysis and science mapping were utilized to examine the key marketing domains influenced by AR.

The analysis revealed that AR has had the biggest impact on marketing domains such as consumer acceptability, customer interactivity, retail, and destination marketing.

The results of this study provide organizations with insights into the current state of AR-marketing, enabling them to successfully use AR to improve their marketing strategies. Furthermore, the study highlights potential areas for further research and development in AR for marketing.

This research offers a valuable, comprehensive overview of AR’s role in marketing by systematically reviewing and analyzing the existing literature. The findings open doors for organizations and researchers to explore AR’s potential applications in marketing strategies and future research opportunities.

Thailand's Halal-friendly destination attributes are the focus of this study. The purpose of this study is to investigate the impact of Halal-friendly attributes on tourists’ intentions to visit non-Muslim destinations. Also, this study analyzes the impact of Muslim tourists’ attitudes on Halal-friendly characteristics and their intentions to visit countries that are not predominantly Muslim.

To accomplish objectives, a survey was used to gather the data by using a convenient non-probability sampling approach from Muslim-majority countries Malaysia, Indonesia and Brunei. A proposed structural equation model was used to assess the influence of the variables above on the outcomes.

This study found that the factors of Halal-friendly facilities and Halal-friendly service positively influence the visiting intentions of Indonesian, Malaysian and Brunei Muslim tourists. In contrast, the social environment, food/beverages and local and staff attributes do not influence visit intentions. The tourist attitude mediates the relationship between the intention to visit and three dimensions of Halal-friendly attributes (social environment; food/beverage; and locals and staff).

This study did not investigate different kinds of dimensions for Muslim tourists visiting Thailand, such as preferences regarding personnel and families, cultural and artistic characteristics and the attributes of events and festivals. These dimensions cover a wide range of Halal-friendly tourism aspects. Second, this research did not investigate the associations between the demographics of Muslim tourists (age, gender, education level and income level) and the model variables. Such an investigation could have helped business developers and marketers in Thailand develop an efficient strategy for target marketing. The results of this research provide fundamental guidance and information for tourist enterprises in non-Muslim nations on how to enhance Muslim travellers’ images and intentions. However, because of the influence of other variables, locations in various areas of Asia, Africa and Europe may exhibit somewhat different effective qualities (e.g. environment, culture, history, etc.).

This study sheds light on the factors contributing to visitor satisfaction in the context of a desire to go to a Halal-friendly site. This insight from this study can be adapted and applied by tourism managers and marketing executives to build or develop the Halal-friendly destination image of a tourist destination (Phuket) in the right dimensions. It is a possibility that the image of a tourist attraction has a tight relationship with travelers’ perceived value, contentment and loyalty (Hsu et al., 2008; Khunrattanaporn, 2013; Pike, 2008). Battour et al. (2022) found that Muslims’ behavioural intentions are affected by the Halal attributes of the destination. It indicates that Halal attributes are very important for Muslim tourists when selecting a destination. To attract Muslim tourists, this study can be used for strategies and planning.

This study sheds fresh light on the concept of Halal tourism. It examines the perspective of Muslim tourists using Halal goods or services in anticipation of a future trip to a non-Muslim location (Phuket). This study is crucial for destination tourism operators, managers and marketers who lead Muslim tourists to non-Muslim destinations.

User discontinuance on short-video platform has become increasingly prevalent in recent years. Short-video discontinuance refers to reduced use, controlled use or suspended use of the short-video platform. In this study, we examined factors associated with discontinuance behavior on short-video platform.

From the perspective of stressor–strain–outcome (SSO), we put forward a theoretical model integrating perceived information overload and perceived system feature overload (stressors), dissatisfaction (psychological strain), flow experience and regret to explain discontinuance behavior on short-video platform (behavioral outcome). We collected 482 survey data from Douyin users in China, and empirically examined the proposed research model via Partial least squares structural equation modeling (PLS-SEM) technique.

Our results demonstrated that perceived system feature overload exerts a positive effect on perceived information overload. Perceived system feature overload has a stronger influence on dissatisfaction than perceived information overload. Regret increases user dissatisfaction, while flow experience decreases user dissatisfaction. We also discovered that dissatisfaction and regret have significant positive effects on discontinuance behavior. Interestingly, flow exerts no significant influence on discontinuance behavior.

This study enriches the body of knowledge on social media discontinuance by revealing the interaction and effects of flow experience, dissatisfaction and regret on discontinuance. This study also extends the understanding on the complex role of flow experience in leading to social media discontinuance. Additionally, this study deepens the research on the interaction between perceived system feature overload and perceived information overload as well as their different influences on negative emotion.