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The purpose of this study is to provide a broad understanding of the pre-completion stage and subsequent abandonment of mergers and acquisitions (M&As).

A total of 117 peer-reviewed, English language articles published in scholarly journals were considered in the review. The approach includes a descriptive evaluation of the literature, coupled with content analysis. The paper uses both positivist and constructivist approaches to qualitative research. The analysis is conducted with the help of R programming and Gephi visualization software. The authors organize the work around the event of outcome/closure of deal proposal.

It is found that earlier studies sampled on domestic M&As in developed economies (DEs). However, the interest of scholars has increased in cross-border deals and emerging economies (EEs) in the last decade. Various factors interact and facilitate the completion/abandonment of good and bad deals. The authors find that complex non-linear relationships exist, and there is a need for studies with other classification techniques focusing on predictive accuracy.

The literature review is limited to articles available to the researcher using search terms related to M&A completion/termination. The databases accessed were: ProQuest, Scopus and Web of Science. However, backward snowballing was performed to avoid the omission of relevant articles.

The findings and subsequent discussions familiarize researchers and practitioners with an overview of research undertaken in the field of M&A abandonment. The authors find voids within the literature and suggest future research agendas.

While the topical areas of service failure and complaints have been systematically investigated for the general traveling public, service failure issues for disabled tourists have been widely ignored. This exploratory study attempts to provide some insights into this phenomenon by analyzing disabled travelers' complaints reported through online customer complaint websites.

A total of 316 customer complaints were collected and analyzed utilizing a modified procedure of the Critical Incident Technique (CIT). Differences in service failure dimensions in industry sector and recovery type were investigated through the correspondence analysis.

Critical incidents of disabled travelers were classified into three dimensions of service failures including service delivery failure, unfulfilled special requests, and unsolicited employee conduct. Significant relationships in service failure dimensions were identified in the industry sectors and types of recovery.

The limitations of this study are unidentifiable demographic information and lack of necessary details, since this study is based on textual data collected from online complaint/review websites. For further research, more inclusive quantitative data could provide a more complete picture.

The findings of this study could represent a valuable step toward assessing the current status of service failure provided by hospitality and tourism industry, and thus provide useful insights for practitioners to more effectively serve this market segment.

This study serves as exploratory research and contributes to a better understanding of the tourism experience of individuals with disabilities.

Advancements in augmented reality (AR) technology have increased the interest in improving brand equity by creating AR-enhanced branding experiences. However, despite the potential of AR branding, knowledge regarding the underlying mechanisms required for AR features to build brand equity remains limited. Thus, we considered embodied cognition theory to investigate how designing AR features enhances brand equity, particularly through the vivid experience of AR-enhanced body–environment interaction. Specifically, this study focused on both environmental and physical AR features: environmental embedding (EE) and simulated physical control (SPC).

The results of an online experiment with 297 participants in a 2 (high/low EE) × 2 (high/low SPC) between-subjects design underwent analysis of covariance and structural equation modeling to examine the relationship between AR features, vividness and brand equity. We also examined the moderating effects of prior AR experiences.

The results support most hypotheses that the experience of vividness is a crucial mediator linking AR features (EE and SPC) and consumer-based brand equity. The findings confirm the influential role of prior AR experience in the moderated mediation model, implying that AR-enhanced brand equity occurs primarily among technically adept AR consumers.

This study contributes to the literature by identifying AR-enhanced body–environment interactions as a novel approach for enhancing brand equity. We also revealed the antecedents of vividness in the context of AR-enhanced branding. Moreover, the findings reveal that AR effects are contingent on consumers’ prior AR experience.

This study aims to analyze the impact of event experience on event satisfaction and intentions to return and recommend the destination.

Relationships among constructs were tested on data gathered from 542 tourists during the America's Cup World Series held in South Italy in April 2013 by using a structural equation modeling approach. Moreover, a multigroup analysis was developed to test the possible moderator factors.

The results revealed that event experience and event satisfaction had positive impacts on the intentions to recommend and return to the host destination. Moreover, nationality, gender and trip motivation emerged as important moderating factors in the relationships among the latent constructs.

The findings of this paper enrich the existing literature and help tourism destination marketers and managers consider the triggering factors of a satisfying mega-sports event for the host destination and the marketing power of the on-site experience.

Practitioners should draw on the insights provided by this study to design destination strategies, particularly by paying attention to how an event experience causes an attendee to return to and recommend the host destination.

This study enriches the existing event literature in several ways. First, it emphasizes the importance of the event experience to the satisfaction level and willingness to return and recommend the host destination for a vacation, supporting the link between an event and its destination. Second, it provides a moderating analysis that offers new insights for marketing the event experience. It offers a multilevel model of mega-event tourism legacy, which opens up new avenues of research. Third, complementing the consumer-based analysis, this research includes the trend of visits (after 2013 to the present) to examine how a mega-sport event has brought about more postevent visits.

Cultivation of a learning culture and subsequent enhancements in employee performance can be translated through employee engagement. This study aims to examine the mediating role of employee engagement in the relationship between the learning culture and employee performance.

This research adopted a quantitative approach, wherein 450 questionnaires were distributed among employees in both public and private sectors in Nepal. A total of 389 questionnaires were returned, followed by two to three reminders. Convenience sampling was utilized, and the data was collected through a questionnaire survey. Descriptive analysis and Structural Equation Modeling – Path analysis was used to describe and hypotheses testing. Data was analyzed using SmartPLS 4.0 and SPSS 24v.

It was found that employee engagement has a mediating effect on the relationship between the learning culture and employee performance. Learning culture also has a positive influence on employee engagement that eventually affects the performance of the employees. This conclusion suggests that fostering a learning culture within an organization should be focused on cultivating an environment that promotes active employee participation, thereby enhancing overall employee performance.

This article provides significant insights into the cultivation of a learning culture inside firms, with a specific focus on establishing an atmosphere that fosters active employee engagement to improve overall employee performance in the service sector. This tool has the potential to facilitate further investigation and progress within the area, while also promoting the adoption of evidence-based learning practices and their associated implications.

This study aims to investigate the historical technological catch-up processes with particular attention to the role of windows of opportunity (WoO). As Industry 4.0 becomes the benchmark of many latecomer countries, this paper may provide guidelines to both policymakers and business practitioners. For clarifying how to catch up with the incumbents and leaders, the authors summarize the lessons based on the historical observations to conclude the pathways for latecomers who aim to reduce the gaps to leaders and manage catch-up. This study enriches the literature of catch-up from a holistic view with fresh insights into how and where to catch up.

The authors analyze the technological catch-up processes emerged in advanced industrial powers, newly industrialized countries (NICs) and emerging economies (EEs). By categorizing the countries into three kinds, they summarize the processes of catch-up along with the industry evolutions. Moreover, they explore how WoO may facilitate the catch-up processes from one stage to the next in above-mentioned categories. Doing so helps to further examine how technological catch-up and WoO interplay and differ among countries. Then, the authors further investigate the latecomers and incumbents and conclude the target choosing, path setting and direction selecting when implementing a catch-up strategy.

This study shows that technological catch-up emerged first in advanced industrial powers (AIPs), then in NICs and recently in EEs. Technological catch-up processes in AIPs and NICs take longer time than those in EEs. WoO from policy, market and technology usually collaboratively facilitate the technological catch-up processes in AIPs and NICs. However, in EEs, single WoO can lead to a successful catch-up. The authors further summarize the directions and pathways of catch-up: AIPs and NICs are normally considered by some latecomers to catch up with, while EEs are not.

This study is among the first to systematically review the historical developments of industry evolutions by focusing the technological catch-up based on the different categories of countries: AIPs, NICs and EEs. Moreover, the authors are also among the first few integrating the WoO and technological catch-up processes in different kinds of countries. To the best of the authors’ knowledge, they are also one of the pioneers who highlight the directions and pathways of latecomers and target choosing to catch up with. They also explore the possibility of selecting EEs as catch-up targets.

The purpose of this study is to investigate the influence of augmented reality (AR) media characteristics on consumers’ purchase intention (PI) for fashion goods within the fashion industry context.

This study establishes five independent variables of salient AR media characteristics derived from existing studies which includes interactivity, vividness, augmentation, simulated physical control and environmental embedding. A quantitative online survey method is conducted with a sample of 172 respondents.

The findings suggest that all five AR media characteristics have a positive and significant influence on consumers’ PI for fashion goods. Among these five characteristics, interactivity and simulated physical control have the strongest positive impact on PI, followed by vividness, environmental embedding and augmentation.

This study provides valuable insights for fashion brands to better understand the media characteristics that consumers may be looking out for in AR experiences that could have an influence on their PI for fashion goods. This study also contributes to the literature by identifying the most influential AR media characteristics in the context of the fashion industry.

The purpose of this paper is to empirically examine the factors that influence the acceptance and use of mobile casual games.

A theoretical model is proposed based on the theory of reasonable action, the uses and gratifications theory, the network externalities (NEs) paradigm and the human–computer interaction literature. An empirical study was conducted through an online survey of mobile casual gamers in Spain, using a convenience sample. The proposed model was tested by an analysis of the collected data through a structural equation model using the partial least squares method.

The results indicate that human–mobile game interaction and NEs have a significant indirect impact on intention to play (IP), through utilitarian, hedonic and relational motivations. In addition, the full mediation effect of attitude was found between these constructs and IP, which is a very important determinant of actual use.

This study is among the few that focuses on users’ acceptance of mobile games apps, the features of which differ significantly from personal computer and console games. It highlights the effects of human–game interaction and NEs on the adoption of mobile casual games. Hence, the study contributes to the theoretical and practical understanding of the factors that lead users to adopt an entertainment mobile application.

The purpose of this paper is to understand how augmented reality (AR) try-on experiences facilitate consumers’ shopping decision. Focusing on the immersion and psychological ownership, the study investigated how the properties of AR experiences (environmental embedding (EE) and simulated physical control (SPC)) affect decision comfort.

This research theoretically and empirically analyzes how each property of AR experiences affects consequential psychological states and then further increases decision comfort by employing an existing AR try-on mobile application. A total of 99 valid responses were used for the partial least square structural equation modeling analysis. One’s prior AR try-on experience was predicted as a moderator and analyzed using SPSS-based PROCESS macro.

The results demonstrated that EE and SPC evoke immersion and the feeling of ownership of a virtual product, which increased decision comfort. The moderating effect of one’s prior AR try-on experience showed that the impact of EE and SPC on immersion was attenuated for those with prior experience. Further, immersion mediated the effect of EE but SPC on the feeling of ownership, which corroborated the direct effect of SPC on the feeling of ownership.

Firms must consider technological and user-experience features that can induce users to perceive high levels of AR characteristics such as EE and SPC. Practitioners should develop realistic content that can correctly place virtual products on users to enhance EE. Including more interactive features is encouraged to provide users with a feeling of control toward the virtual product that directly leads to ownership and positively affects decision making. Further, practitioners need to be cautious about consumers getting used to the new technology; retailers and marketers need to focus on creating new and innovative content to continually engage customers.

This study adopted EE and SPC to determine how each property of AR experience forms the consequential psychological states, particularly depending on one’s prior experience. Methodologically, the study provided external validity in conducting an experiment by adopting an existing AR mobile application available in the market and employing an objective measure of respondents (e.g. prior AR try-on experience).

This study aims to ascertain the intentions of risk managers to use artificial intelligence in performing their tasks by examining the factors affecting their motivation.

The study employs an integrated theoretical framework that merges the third version of the technology acceptance model 3 (TAM3) and the unified theory of acceptance and use of technology (UTAUT) based on the application of the structural equation model with partial least squares structural equation modeling (PLS-SEM) estimation on data gathered through a Likert-based questionnaire disseminated among Italian risk managers. The survey reached 782 people working as risk professionals, but only 208 provided full responses. The final response rate was 26.59%.

The findings show that social influence, perception of external control and risk perception are the main predictors of risk professionals' intention to use artificial intelligence. Moreover, performance expectancy (PE) and effort expectancy (EE) of risk professionals in relation to technology implementation and use also appear to be reasonably reliable predictors.

Thus, the study offers a precious contribution to the debate on the impact of automation and disruptive technologies in the risk management domain. It complements extant studies by tapping into cultural issues surrounding risk management and focuses on the mostly overlooked dimension of individuals.

Yet, thanks to its quite novel theoretical approach; it also extends the field of studies on artificial intelligence acceptance by offering fresh insights into the perceptions of risk professionals and valuable practical and policymaking implications.