Modeling guests’ intentions to use mobile apps in hotels

2016 ◽  
Vol 28 (9) ◽  
pp. 1968-1991 ◽  
Author(s):  
Cristian Morosan ◽  
Agnes DeFranco
Keyword(s):  
Information Systems ◽  
Structural Model ◽  
Personal Information ◽  
Mobile Apps ◽  
Theoretical Perspective ◽  
Critical Factor ◽  
Structural Equations ◽  
Content Type ◽  
Privacy Concerns ◽  
The Usa

Purpose The unprecedented development of hotel-branded mobile applications (apps) has been instrumental in facilitating the rich guest–hotel interactions, thus contributing to a high personalization of services. For true personalization, guests need to provide personal information via apps. Yet, no study to date has addressed how guests develop intentions to use such apps given the current personalization and privacy challenges. Therefore, this study aims to investigate hotel guests’ intentions to use hotel apps to access personalized services. Design/methodology/approach Drawing from personalization-privacy theory, this study conceptualized perceived personalization and privacy concerns as distinct constructs while recognizing two different privacy concerns constructs: general and app-specific privacy concerns. To build a comprehensive structural model that is appropriate for explicating intentions to use hotel apps, this study incorporates consumer psychology and information systems theoretical streams that provide constructs that unequivocally capture the unique set of consumer–app interactions in highly experiential settings such as hotels (e.g. innovativeness and involvement). Using a nation-wide sample of hotel guests from the USA, the model was validated using confirmatory factor analysis and structural equations modeling. Findings The predictors explained 79 per cent of the variability in the intentions to use hotel apps to personalize hotel services. The strongest predictor of intentions was involvement, followed by app-related privacy concerns and perceived personalization. Research limitations/implications First, this study’s extended theoretical framework was well supported, as it captures relevant elements of the mobile commerce ecosystem (e.g. personalization and privacy), thus extending the classic paradigmatic approach to information systems adoption beyond system beliefs. Second, this study clarifies the distinct roles of personalization and privacy in the context of hotel apps, which has not been examined in the context of m-commerce in hospitality. Third, the study clarifies the role of involvement as the most critical factor that can influence guests’ intentions to use hotel apps when personalization options and privacy concerns exist. Practical implications This study offers hotel decision-makers a mapping of the factors, leading to use of hotel apps for purchasing personalized hotel services. Originality/value This study provides a first theoretical perspective on the hotel app utilization behaviors that have not been studied so far, but carry a strong strategic and financial significance for the hotel industry (direct distribution, brand consolidation and extensive contact with guests).

Why people need privacy? The role of privacy fatigue in app users' intention to disclose privacy: based on personality traits

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jie Tang ◽  
Umair Akram ◽  
Wenjing Shi
Keyword(s):  
Personality Traits ◽  
Information Disclosure ◽  
Personal Information ◽  
Mobile Apps ◽  
Equation Modeling ◽  
Content Type ◽  
Privacy Concerns ◽  
Positive Effects ◽  
Novel Concept ◽  
The Impact

PurposeMobile Applications (App) privacy has become a prominent social problem. Compared with privacy concerns, this study examines a relatively novel concept of privacy fatigue and explores its effect on the users’ intention to disclose their personal information via mobile Apps. In addition, the personality traits are proposed as antecedents that will induce the personal perception of privacy fatigue and privacy concerns differently.Design/methodology/approachData were collected from 426 respondents. Structure equation modeling was used to test the hypotheses.FindingsThe findings describe that App users’ intention toward personal information disclosure is determined by privacy fatigue and privacy concerns, but the former has a greater impact. With minor exceptions, the two factors are also influenced by different personality traits. Specifically, neuroticism has positive effects on privacy fatigue, but agreeableness and extraversion have presented the opposite results on the two variables.Practical implicationsThis research is very scarce to examine the joint effects of privacy fatigue, privacy concerns and personality traits on App users’ disclosing intention. In doing so, these results will be of benefit to App providers and platform managers and can be the basis for a variety of follow-up studies.Originality/valueWhile previous research just focuses on privacy concerns, this study explores the critical roles of privacy fatigue and opens up a new avenue of emotion-attitude analysis that can further increase the specificity and richness of users’ privacy research. Additionally, implications for personality traits as antecedents in the impact of App users’ privacy emotions and attitudes are discussed.

“Warning! You’re entering a sick zone”

2019 ◽  
Vol 43 (6) ◽  
pp. 1046-1062 ◽  
Author(s):  
Scott S.D. Mitchell
Keyword(s):  
Public Health ◽  
Disease Risk ◽  
Personal Information ◽  
Mobile Apps ◽  
Disease Outbreaks ◽  
Content Type ◽  
Privacy Concerns ◽  
Contagious Diseases ◽  
Cultural Historical Activity ◽  
Modes Of Governance

Purpose Traditional public health methods for tracking contagious diseases are increasingly complemented with digital tools, which use data mining, analytics and crowdsourcing to predict disease outbreaks. In recent years, alongside these public health tools, commercial mobile apps such as Sickweather have also been released. Sickweather collects information from across the web, as well as self-reports from users, so that people can see who is sick in their neighborhood. The purpose of this paper is to examine the privacy and surveillance implications of digital disease tracking tools. Design/methodology/approach The author performed a content and platform analysis of two apps, Sickweather and HealthMap, by using them for three months, taking regular screenshots and keeping a detailed user journal. This analysis was guided by the walkthrough method and a cultural-historical activity theory framework, taking note of imagery and other content, but also the app functionalities, including characteristics of membership, “rules” and parameters of community mobilization and engagement, monetization and moderation. This allowed me to study HealthMap and Sickweather as modes of governance that allow for (and depend upon) certain actions and particular activity systems. Findings Draw on concepts of network power, the surveillance assemblage, and Deleuze’s control societies, as well as the data gathered from the content and platform analysis, the author argues that disease tracking apps construct disease threat as omnipresent and urgent, compelling users to submit personal information – including sensitive health data – with little oversight or regulation. Originality/value Disease tracking mobile apps are growing in popularity yet have received little attention, particularly regarding privacy concerns or the construction of disease risk.

How digital natives make their self-disclosure decisions: a cross-cultural comparison

2019 ◽  
Vol 32 (3) ◽  
pp. 538-558 ◽  
Author(s):  
Zilong Liu ◽  
Xuequn Wang ◽  
Jun Liu
Keyword(s):  
Personal Information ◽  
Digital Natives ◽  
Self Disclosure ◽  
Content Type ◽  
Privacy Concerns ◽  
Cross Cultural Comparison ◽  
Disclosure Decisions ◽  
Different Types ◽  
The Usa ◽  
Social Rewards

Purpose Digital natives have become significant users of social network sites (SNSs); therefore, their disclosed personal information can be misused by SNS providers and/or other users. The purpose of this paper is to understand how digital natives make their self-disclosure decisions on SNSs, as well as whether the concept of culture can still be relevant to digital natives. Design/methodology/approach The hypotheses were tested with survey data collected from the USA and China. Findings The results show that trust in SNSs and trust in SNS users are positively related to social rewards. Social rewards are positively related to intention to self-disclose, while privacy risk is positively related to privacy concerns. Further, culture significantly moderates the relationship between trust and social rewards. Research limitations/implications The study clarifies the effects of different types of trust on privacy in the context of SNSs. Further, the study shows the effects of culture when digital natives make self-disclosure decisions. Practical implications SNS providers also need to focus on different types of trust when operating in different cultural contexts. Further, SNS providers expanding their markets should emphasize social rewards to increase the likelihood of self-disclosure. Originality/value The results show that while culture can still be helpful to explain digital natives’ trust beliefs, digital natives have started to converge regarding their perceptions about privacy concerns and self-disclosure.

AI and privacy concerns: a smart meter case study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jillian Carmody ◽  
Samir Shringarpure ◽  
Gerhard Van de Venter
Keyword(s):  
Private Information ◽  
Personal Information ◽  
Consumer Information ◽  
Data Sets ◽  
Smart Meter ◽  
Smart Meters ◽  
Content Type ◽  
Privacy Concerns ◽  
Privacy Legislation

Purpose The purpose of this paper is to demonstrate privacy concerns arising from the rapidly increasing advancements and use of artificial intelligence (AI) technology and the challenges of existing privacy regimes to ensure the on-going protection of an individual’s sensitive private information. The authors illustrate this through a case study of energy smart meters and suggest a novel combination of four solutions to strengthen privacy protection. Design/methodology/approach The authors illustrate how, through smart meter obtained energy data, home energy providers can use AI to reveal private consumer information such as households’ electrical appliances, their time and frequency of usage, including number and model of appliance. The authors show how this data can further be combined with other data to infer sensitive personal information such as lifestyle and household income due to advances in AI technologies. Findings The authors highlight data protection and privacy concerns which are not immediately obvious to consumers due to the capabilities of advanced AI technology and its ability to extract sensitive personal information when applied to large overlapping granular data sets. Social implications The authors question the adequacy of existing privacy legislation to protect sensitive inferred consumer data from AI-driven technology. To address this, the authors suggest alternative solutions. Originality/value The original value of this paper is that it illustrates new privacy issues brought about by advances in AI, failings in current privacy legislation and implementation and opens the dialog between stakeholders to protect vulnerable consumers.

Using social distancing technology in hotels: a social exchange perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Cristian Morosan ◽  
Agnes DeFranco
Keyword(s):  
Social Exchange ◽  
Health Risks ◽  
Social Exchange Theory ◽  
Structural Model ◽  
Content Type ◽  
Privacy Concerns ◽  
Social Distancing ◽  
Using Data ◽  
Social Rewards

Purpose As social distancing procedures can be facilitated by various hotel technologies, the purpose of this paper is to investigate the extent to which consumers develop perceptions of value regarding the use of certain hotel technologies for social distancing in hotels. Design/methodology/approach Drawing from the social exchange theory, this study conceptualized the benefits of using technologies for social distancing, health risks, social rewards and privacy concerns as antecedents of value of using technologies for social distancing in hotels. The structural model was validated by using data from more than 1,000 nationwide US consumers. Findings Benefits and consumers’ privacy concerns of using technologies for social distancing in hotels were the strongest predictors of value. Social rewards also had a significant but relatively lower effect on value. Health risks was found to have no influence on value. Originality/value The study is the first to examine the role of technologies in mitigating the effects of coronavirus. Thus, it extends the information technology and hospitality literature by examining the role of these technologies in safeguarding individual and public health.

Destination food image, satisfaction and outcomes in a border context: tourists vs excursionists

2019 ◽  
Vol 121 (5) ◽  
pp. 1101-1115 ◽  
Author(s):  
Djamel Toudert ◽  
Nora L. Bringas-Rábago
Keyword(s):  
Structural Model ◽  
Group Analysis ◽  
Local Context ◽  
Market Strategy ◽  
Content Type ◽  
Moderation Effect ◽  
The Usa ◽  
Mexico Border ◽  
Food Image ◽  
The Impact

PurposeThe purpose of this paper is to examine the impact of cognitive destination food image in food expectation, satisfaction and visit outcomes within a local context of the USA–Mexico border. The differences between tourists and excursionists were also assessed for their possible implications in strengthening an active market strategy in the framework of the same objective.Design/methodology/approachFour hypotheses were examined through Squares SEM techniques. The model validation was carried out assessing the measurement and structural model. Additionally a multi-group analysis was performed to test the tourists and excursionists moderation effect. The study used 518 questionnaires completed by US visitors in three important gastronomic regions of the coast of Baja California, Mexico.FindingsThe results suggest that tourists and excursionists obey different dimensions when structuring cognitive destination food image which showed a significant impact on visitor satisfaction and future intentions.Originality/valueThe moderation function of tourists and excursionists in the causal relationships of the research model was analyzed as one of the first explorations in food tourism marketing. In conjunction with other findings, this paper offers specific theoretical and practical implications on how to stimulate gastronomic consumption in these two segments of visitors.

Digital transformation of global business processes: the role of dual embeddedness

2019 ◽  
Vol 26 (2) ◽  
pp. 570-592
Author(s):  
Peter Ekman ◽  
Peter Thilenius ◽  
Steven Thompson ◽  
Jonathan Whitaker
Keyword(s):  
Business Processes ◽  
Theoretical Perspective ◽  
Digital Transformation ◽  
Global Business ◽  
Cross Sectional ◽  
Content Type ◽  
The Usa ◽  
Internal Embeddedness ◽  
External Embeddedness ◽  
Relationship Of

Purpose While much existing research on multinational corporation (MNC) digital transformation has followed a linear design and implementation logic using cross-sectional data, the multiple and divergent needs of headquarters (HQ) and subsidiaries suggest that MNC digital transformation actually involves a more iterative journey. The purpose of this paper is to apply the theoretical perspective of embeddedness to better define the complexities of MNC digital transformation, and identify how HQ and subsidiaries can navigate the complexities. Design/methodology/approach This paper presents a longitudinal multi-case study of five Forbes Global 2000 firms that are HQ in Europe with large subsidiaries in the USA. The authors conducted in-depth interviews with 26 senior executives at HQ and subsidiaries over a 15-month period. Findings The process of digital transformation is significantly influenced by internal embeddedness (relationship of HQ with subsidiaries and across subsidiaries) and external embeddedness (relationship of subsidiaries with their local markets), and also by strategy, financial and technology considerations. While HQ and subsidiaries have different perspectives, an understanding of these influences can help HQ and subsidiaries navigate digital transformation. Research limitations/implications HQ and subsidiaries can apply insights from this research to navigate the complexities of digital transformation. Originality/value This paper demonstrates that embeddedness is a useful theory to understand the complexities of MNC digital transformation.

Mobile payments adoption by US consumers: an extended TAM

2017 ◽  
Vol 45 (6) ◽  
pp. 626-640 ◽  
Author(s):  
Ainsworth Anthony Bailey ◽  
Iryna Pentina ◽  
Aditya Shankar Mishra ◽  
Mohammed Slim Ben Mimoun
Keyword(s):  
Self Efficacy ◽  
Online Survey ◽  
New Technology ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Convenience Sample ◽  
Content Type ◽  
Privacy Concerns ◽  
The Usa ◽  
Technology Anxiety

Purpose The purpose of this paper is to incorporate mobile payment (MP) self-efficacy, new technology anxiety, and MP privacy concerns into the basic TAM to explore MP adoption, particularly tap-and-go payment, among US consumers. Design/methodology/approach Data were collected through an online survey conducted among students at a Midwestern University in the USA. A total of 254 participants provided 240 useable responses. Findings MP self-efficacy significantly impacts perceived ease of use (PEOUMP) and perceived usefulness of MP (PUMP). These in turn impact MP attitude, which affects intention to use MP. Privacy concerns also impact attitude towards MP and MP use intention. New technology anxiety impacts PEOUMP, but not PUMP. Research limitations/implications The study uses a convenience sample of young US consumers, which could limit the generalisability of the results. The study is also limited to tap-and-go payment. Practical implications US retailers have information on some of the factors that encourage MP adoption. Retailers need to address self-efficacy concerns, MP privacy concerns, and consumers’ perceptions of usefulness of the technology. Originality/value There has been little research on factors impacting tap-and-go payment adoption in the USA. The study highlights the roles of self-efficacy and privacy concerns. It focusses on tap-and-go payment, since this technology can enhance consumers’ retail experience.

Values, motivation, commitment, performance and rewards: analysis model

2016 ◽  
Vol 22 (6) ◽  
pp. 1139-1169 ◽  
Author(s):  
Marcela Lage Monteiro de Castro ◽  
Mário Teixeira Reis Neto ◽  
Cláudia Aparecida Avelar Ferreira ◽  
Jorge Filipe da Silva Gomes
Keyword(s):  
Structural Model ◽  
Oil And Gas ◽  
Analysis Model ◽  
Cross Sectional ◽  
Convenience Sample ◽  
Content Type ◽  
Management Processes ◽  
Proposed Model ◽  
Management Area ◽  
The Usa

Purpose The purpose of this paper is to investigate how construct values, motivation, commitment, performance and reward are associated with professionals from different countries, from the framework of a hypothetical structural model. Design/methodology/approach The survey was cross-sectional, descriptive and quantitative. The sample of individuals corresponding to three different countries, with information collected from a sample of 406 respondents, and from a convenience sample of two companies, one company in the oil and gas sector, surveyed in Mexico and the USA, and the other company in the electronics industry, researched in Brazil. Findings Thus, the association of the construct values with motivation in Mexico, demonstrated a better balance of the proposed hypothetical structural model. The study identified six groups (clusters) of different individuals according to values, and also, its associative relationship according to the variables of the proposed hypothetical structural model. The identification of each cluster was possible, according to the variables of the hypothetical structural model, and the groups with greater proximity between Mexico and USA were very similar, mostly because US companies have many Mexicans in their staff. Research limitations/implications Therefore, it is understood that the approach used in this work could eventually be replicated in other regions to seek confirmations and/or contradictions of the results, contributing to future studies to relate such constructs. Practical implications It is expected that this work can stimulate others that aim to explore the hypothetical structural model in more countries or organizations in order to understand the influence of the constructs in or ganizational management, enabling people management area to be more effective in conducting relevant management processes for each organization. Originality/value The proposed model has shown that organizational management allowed the verification of the association between constructs motivation, commitment, performance and reward, excluding the construct values.

Motivational bases for consumers’ underdog affection in commerce

2017 ◽  
Vol 28 (3) ◽  
pp. 563-592 ◽  
Author(s):  
Lee Phillip McGinnis ◽  
Tao Gao ◽  
Sunkyu Jun ◽  
James Gentry
Keyword(s):  
Conceptual Model ◽  
Discriminant Validity ◽  
Structural Equations ◽  
The Other ◽  
Survey Study ◽  
Confirmatory Factor Analyses ◽  
Content Type ◽  
Need For Uniqueness ◽  
The Usa ◽  
Business Entities

Purpose The understanding of the motives for consumers’ support of business underdogs is generally limited. The purpose of this paper is to help address this important research topic by conceptualizing underdog affection as a theoretical construct capturing the emotional attachment held by some consumers toward underdog business entities and advances two perspectives (self- and other-oriented) to unravel its motivational underpinnings. Design/methodology/approach To test the conceptual model, a survey study was conducted involving 365 respondents drawn from an electronic alumni association list from a medium-sized Midwestern university in the USA. Exploratory factor analysis and confirmatory factor analyses were used to validate the scales, and the structural equations modeling method was used to test the hypothesized effects. Findings The data support most of the hypotheses (eight out of nine). Under the self-oriented perspective, commerce underdog affection is positively influenced by underdog orientation, need for uniqueness, nostalgia proneness, and hope, and is negatively impacted by their materialism level. Only hope did not impact consumer underdog affection. Under the other-oriented perspective, balance maintenance, top dog antipathy, and empathic concern positively influence underdog affection. The other-oriented factors, especially top dog antipathy and balance maintenance, show stronger effects on commerce underdog affection than self-oriented factors. Research limitations/implications The sample was geographically restrictive in the sense that it measured only one group of respondents in the USA. The conceptual model is limited in terms of its coverage of the consequences of underdog affection. While discriminant validity is established in the scale development phase of the study, relatively close relationships do exist among some of these theoretical constructs. Practical implications Given the significant evidence linking consumers’ underdog affection to underdog support in commerce, small locally owned businesses could use underdog positioning advertising to differentiate themselves against national retailers. Due to their tendency to display higher underdog affection in commerce, people with higher levels of balance maintenance, top dog antipathy, underdog orientation, emphatic concern, and nostalgia proneness, and lower levels of materialism can be segmented for marketing purposes. Social implications This research indicates that there are ways in which small business entities and non-profits alike can operate in a business setting that is increasingly more competitive and challenging for underdog entities. Originality/value This study integrates the various underdog studies across contexts to examine motives to underdog affection, a construct not yet operationalized in business studies. In addition, hypotheses linking eight specific antecedents to commerce underdog affection, via two theoretical perspectives, are empirically examined to assess relative as well as absolute effects.

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