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This study aims to understand how free-play credits affect risk-seeking behavior in slot players. Extant results suggest they encourage risk aversion, counter to the primary aim of increasing spend per visit. The results inform operators as to the effectiveness of what has become the primary play incentive for casino marketers within many of the world’s markets.

Within a quasi-experimental grouped design, 365 days of player-level performance data from four different casinos were analyzed to determine whether player losses (casino revenues) and time played differed on visits that included free-play redemptions from those that did not. Hypotheses were tested via paired-samples t-tests and Mann–Whitney U tests.

On balance, neither player losses nor time played were significantly different on the free-play visits. Neither the house money effect nor the endowment effect was supported. The results were most consistent with the prospect-theory-with-memory editing rule. No findings indicated increased risk-seeking behavior associated with the free-play offers.

Casino operators are afforded insight related to how costly free-play campaigns affect gaming spend and playtime. Both are critical to understanding the impact of free-play on the gambler’s experience.

The 365-day samples extended existing research by analyzing the impact of free-play offers on risk-taking behaviors within the scope of a perpetual/ongoing campaign. Comparisons of observed daily behavior/outcomes were made between separate tiers of like-kind gamblers from each of four different casinos. Quasi-hedonic editing rules were applied to a multistage decision framework.

The aboutness (a subject matter of resource) of information has been strongly emphasized when organizing and searching for different types of media resources. For video games, mood is one of the critical subjective elements that supports users in finding games of interest. The current study examines a previously developed video game mood controlled vocabulary (CV) to empirically test its applicability and evaluate the individual terms’ separability and distinctiveness.

The research team collected user reviews from Steam, an online game database. Three different games were selected for triangulation to represent each of the 17 moods identified in the existing CV, resulting in the selection of 51 games. Collected reviews were tokenized and investigated from individual, terminological and categorical levels of text analyses.

Through the application of multiple analysis techniques (frequency, cluster and network), findings confirm the intuitiveness and usefulness of the existing CV. Additionally, opportunities for increased category separability and distinctness are identified for three moods: Aggressive, Quirky and Intense.

The current study adopts a user-centered perspective to evaluate the existing metadata framework created based on literature analysis. This study aims to complement the literature-based framework with users’ perspectives to enhance the metadata for interactive multimedia resources, such as video games.

X‐ray laminographic image can provide more useful information about the internal state of electronic packaging than x‐ray radiographic image does. Many kinds of laminographic system have been developed for obtaining the cross‐sectional image. Proposes an axial laminographic system, which can be constructed by usual automatic radiographic system without any rotating x‐ray head and detector system. Explains that this method can be implemented to make the usual radiographic x‐ray inspection system equal to the power of a laminographic system.

Meal ordering apps (MOAs) have transformed the customers' dining habits, particularly during mobility restrictions of the COVID-19 pandemic. Under the theoretical cover of the extended stimulus–organism–response (SOR) model, this paper attempts to explore the critical antecedents and outcomes of customer MOA engagement which predict the continuous purchase intentions using these apps. A multigroup analysis is conducted to investigate the difference between the hypothesized relationships between the Chinese and Indonesian consumers.

A mixed-method approach, including a systematic literature review, an open-ended essay (qualitative) with 139 MOA users and an online survey (quantitative) with 1,207 MOA users in total, was used for hypotheses testing.

The structural equation model results revealed that customer MOA experience factors such as mobile online reviews (MR), food quality (FQ), restaurant reputation (RR), service quality and system quality (SyQ) are the absolute positive factors that influence customer MOA cognitive, affective and behavioral engagement, which in turn affect continuous purchase intentions. The multigroup analysis results reveal that Chinese customers prioritized MR and FQ for customer MOA engagement (cognitive, affective and behavioral). Comparatively, Indonesian customers placed most importance on RR and SyQ.

Considering a market-specific setting and based on the extended SOR framework, this study is one of the first to take a comprehensive look at the critical antecedents and outcome of multidimensional customer MOA engagement in the developing countries’ (China and Indonesia) online to offline meal delivery context. Further, this study investigates the customer continuous purchase intentions as an outcome of MOA engagement during the COVID-19 pandemic. The findings also reveal the differences in consumer behavior across the two developing but culturally diverse countries samples during the pandemic.

The purpose of this paper is to develop a model to examine how different technological and cognitive cues related to mobile food ordering applications (MFOAs) impact diners' intentions to use MFOAs continuously. The moderating role of national household demographics was also assessed in the online-to-offline (O2O) food delivery services (FDS) context.

Drawing insights from the uses and gratification (U&G) theory, an online sample survey of 968 valid respondents who had ordered or purchased food through delivery apps during the COVID-19 outbreak in China was used for the analysis. The proposed model was empirically tested using structural equation modeling.

The results revealed that cues in MFOAs (i.e. ease of use, convenience, price saving orientation, the listing of various food choices, exploring restaurant patterns, and compatibility) directly influenced diners' e-satisfaction and that intention to use continuously is triggered by e-satisfaction during the COVID-19 crisis. Moreover, this study found that collectivist household diners emphasized ease of use, convenience, and compatibility. Comparatively, individualistic household diners placed more importance upon price saving orientation and listing of various food choices during the pandemic.

The authors offer a new insight into customers' dining choices by extending the scope of O2O services in the food industry. The findings contribute to understanding diners' purchase decision-making processes regarding MFOAs' O2O-FDS during the COVID-19 crisis. The multi-group comparison via national household demographics also provides a new perspective regarding different dining preferences toward O2O-FDS.

Gives an in depth view of the strategies pursued by the world’s leading chief executive officers in an attempt to provide guidance to new chief executives of today. Considers the marketing strategies employed, together with the organizational structures used and looks at the universal concepts that can be applied to any product. Uses anecdotal evidence to formulate a number of theories which can be used to compare your company with the best in the world. Presents initial survival strategies and then looks at ways companies can broaden their boundaries through manipulation and choice. Covers a huge variety of case studies and examples together with a substantial question and answer section.

This monograph contains abstracts from the 2005 Employment Research Unit Annual Conference Cardiff Business School, Cardiff University, 6‐7th September 2005

The tourism and hospitality sector in twenty-first century becomes technology driven. Technology application in those sectors is strategic and demand driven. It facilitates tourism and hospitality marketing; destination promotion and imaging makes the services innovative, turns the interaction between industry and its consumers better than ever before, and enables the industry to cope with neo-competitive environment. Changes occur too in tourists’ demand, choices, and consumption patterns with the advent of e-mobility. Thus shifts within the paradigm of tourism and hospitality practices are perceived overtly. This chapter will study the expanse of technology application within those sectors, endeavour to develop a conceptual frame; and review the shifts and impacts that appear out of technology and those sectors interactions.

This study aims to provide insight into consumer behavior regarding the use of food delivery apps when making purchases. To investigate the primary elements affecting users' intentions to use meal delivery applications, this study suggests an extension to the technology acceptance model through some contextual variable such as “various food choices (VFC),” “trust (TRR),” “perception of COVID-19-related risks (PCR)” and “convenience (CONV)” during the pandemic.

A cross-sectional data of 407 was collected in the Indian context. This research adopts the covariance-based structural modeling approach to test the hypotheses along with hierarchical regression to predict the efficiency of constructs.

Considering the outcomes, “perceived usefulness (PU)” was positively influenced by “perceived ease of use (PEOU),” “VFC” and “CONV.” In addition, the attitude (ATT) was positively impacted by “PU,” “TRR” and “PEOU.” Nevertheless, “PCR” negatively influenced ATT. In additional, this research illustrates the positive impact of ATT and PU on behavioral intention to use.

By confirming the technology acceptance model's capacity for explanation in relation to food delivery apps, this study adds to the body of knowledge. The primary focus of this study is on determining the direct impact of the identified determinants on the adoption of food delivery applications within the context of a pandemic situation in developing countries.

While studies have highlighted the benefits of athlete endorsement as a means of strategic marketing communication and public relations, there are risk factors associated with the practice, especially when a celebrity endorser is involved in immoral incidents or social activism. This study examined the impacts of athlete endorsers’ controversial behavior on sponsors. It scrutinized the change in publicly traded corporations’ shareholder value when their athlete endorsers were implicated in either immoral conduct or social activism.

Using the event study analysis, this study investigated the sponsored corporations’ abnormal returns around athlete endorsers’ involvement in immoral incidents and social activism. Total 34 cases (18 immoral scandals and 16 social activism) were collected from 2009 to 2019.

The data analysis revealed a significant difference in abnormal returns between the two different types of incidents for the four different windows (2, 4, 8 and 15 days) after the date of the focal event. While scandals of immoral conduct did not cause significant loss in shareholder value, cases of social activism showed negative abnormal returns for sponsoring corporations.

This study presented the first comparative analysis of how endorsers’ immoral behavior and social activism impacted on the shareholders’ value of sponsoring firms. Using stock performance data, the findings provided the empirical evidence in stock markets’ different reactions regarding scandals and social activism. The study contributes to the relevant body of literature by comparing the different contexts in celebrity endorsement.