Psychological antecedents of mobile consumer behaviour and implications for customer journeys in tourism

Wozniak, Thomas; Schaffner, Dorothea; Stanoevska‐Slabeva, Katarina; Lenz-Kesekamp, Vera Kristina

doi:10.1007/s40558-017-0101-8

Cited by 31 publications

(23 citation statements)

References 64 publications

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“…First, a comprehensive literature review in relevant disciplines (i.e., Information Systems, Business, and Tourism Management) was conducted to identify existing measures of privacy concerns. This resulted in the identification of several instruments, including CFIP and IUIPC, as well as self-developed measures adapted for the purposes of specific research study (Stewart and Segars 2002;Malhotra, Kim, and Agarwal 2004;Xu et al 2008;Wozniak et al 2018;Huang et al 2017;Preibusch 2013;Li 2014). The item selection process was conducted by identifying common themes, considering the established privacy concerns dimensions, such as collection, secondary use, and improper access of data (Smith, Milberg, and Burke 1996).…”

Section: Pre-testmentioning

confidence: 99%

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That’s Private! Understanding Travelers’ Privacy Concerns and Online Data Disclosure

Ioannou

Tussyadiah

Miller

2020

Journal of Travel Research

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Against the backdrop of advancements in technology and its deployment by companies and governments to collect sensitive personal information, information privacy has become an issue of great interest for academics, practitioners, and the general public. The travel and tourism industry has been pioneering the collection and use of biometric data for identity verification. Yet, privacy research focusing on the travel context is scarce. This study developed a valid measurement of Travelers’ Online Privacy Concerns (TOPC) through a series of empirical studies: pilot ( n=277) and cross-validation ( n=287). TOPC was then assessed for its predictive validity in its relationships with trust, risk, and intention to disclose four types of personal data: biometric, identifiers, biographic, and behavioral data ( n=685). Results highlight the role of trust in mitigating the relationship between travelers’ privacy concerns and data disclosure. This study provides valuable contribution to research and practice on data privacy in travel.

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Section: Pre-testmentioning

confidence: 99%

“…Travelers' Online Privacy Concerns (TOPC) (Smith, Milberg, & Burke, 1996;Xu, Dinev, Smith, & Hart, 2011;Wozniak, Schaffner, Stanoevska-Slabeva, & Lenz-Kesekamp, 2018) Self-Privacy Concerns SPC1 -"I am concerned that the information I submit to online travel companies could be misused. "…”

Section: 795mentioning

confidence: 99%

That’s Private! Understanding Travelers’ Privacy Concerns and Online Data Disclosure

Ioannou

Tussyadiah

Miller

2020

Journal of Travel Research

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“…Обсяги продажу повільно зростають через інертність споживачів, тому для їх прискорення потрібна потужна ко-мунікаційна підтримка. Першими купуватимуть ТП тільки «Суперлідери», які є лідерами думок і яких на ринку завжди мало [8][9][10][11][12][13][14]. Надходження від продажу ще не покривають витрат на розробку, тому прибуток відсутній або незначний.…”

Section: Udc 33848 Jel: M30; M39; Z30; Z31 Shulgina L м Binda J unclassified

The Methodical Instrumentarium for Calculating Prospective Volumes of Sales of Tourism Products

Shulgina¹,

Binda²,

Zhaldak³

et al. 2020

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On the basis of the provisions of the product lifecycle conception and the theory of consumer behavior, a methodical instrumentarium for calculating the volume of implementation of the innovative product, as well as the speed of its penetration of the market, is developed. The dependence of sales volumes of innovative tourism products in the domestic market on the level of consumers’ commitment to travel agency and its offers is determined. The method of measuring the level of consumers’ commitment to travel agency and its offers is substantiated. It is displayed that there is a relationship between the structure of target market and its activity in the purchase of tourism products. Thanks to the improvement of the classification of components of the target segments, the segmentation is deepened taking into account the peculiarities of the behavior of individual subsegments. The peculiarities of the following target market subsegments are allocated and described: loyal consumers market, sympathizers market, qualified market, searchers market, serviced market, eventual market, potential market, promising market. Participation of each subsegment of the target market in the intensity of the spread of innovative tourism product on the market is empirically proved. It is found out that the segment of the «Loyal consumer market» is the smallest, and, at the same time, the most difficult to form and maintain. Thus, in order to create a kind of «reserve» for its replenishment, it is necessary to constantly work on expanding the groups «Sympathizers market» and «Searchers market». The volume of the most volatile segment – the «Searchers market» – significantly exceeds the size of other segments and largely depends on the psychographic characteristics of its participants. The «Traditionalists» segment is relatively small, but in number it is almost comparable to the segment «Followers of leaders» (which significantly affects the perception of the market of tourism products), and «Traditionalists» significantly surpass the «Followers of leaders» in demand and commitment to the set priorities.

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“…Consumers' practical knowledge of employing computers in financial operations [1] considerably influences their purposes to adopt mobile payment, leading to the partial mediating consequences of perceived practicality, perceived effortlessness in utilization, congruity, risk, and privacy issue, in the link between Internet practice and the use of mobile payment [2]. Smartphone self-reliance, mobile-specific creativity, mobile consumers' data privacy issues, and personal affinity for mobile devices are the psychological factors having the most relevant impact on mobile consumer behavior [3].…”

Section: Introductionmentioning

confidence: 99%

Users’ Behavioral Intention and Adoption of Mobile Shopping Applications on the Smartphone Platform

2021

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Research background: We draw on a substantial body of theoretical and empirical research on users’ behavioral intention and adoption of mobile shopping applications on the smartphone platform globally, Purpose of the article: We inspected, used, and replicated survey data from eMarketer, Adobe, Bizrate Insights, Econsultancy, eMarketer, and Retail Dive, performing analyses and making estimates regarding smartphone retail m-commerce sales in the U.S. ($), top reasons EU consumers use smartphones in stores, and activities EU smartphone/tablet owners have done using apps on their smartphone/tablet in the past month. Methods: Structural equation modeling was used to analyze the data and test the proposed conceptual model. Findings & Value added: Mobile payment is a user-oriented manner of finalizing transactions as a result of the growing fashionableness of smartphones and the advancement of associated technologies. Superior ubiquity of mobile devices and swift mobile internet access result in higher quality offers and higher degrees of adoption of smartphones in commercial operations. Mobile retailers can raise the pool of prospective mobile purchasers by selecting individuals who are more knowledgeable in online buying and smartphone adoption. Consumers at a preliminary mobile shopping readiness stage allocate more relevance to omnipresence when compared with the habit in determining purchase intentions. As mobile consumers download and employ more applications, they confront the diminishing expenditures of acquiring further software.

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Psychological antecedents of mobile consumer behaviour and implications for customer journeys in tourism

Cited by 31 publications

References 64 publications

That’s Private! Understanding Travelers’ Privacy Concerns and Online Data Disclosure

That’s Private! Understanding Travelers’ Privacy Concerns and Online Data Disclosure

The Methodical Instrumentarium for Calculating Prospective Volumes of Sales of Tourism Products

Users’ Behavioral Intention and Adoption of Mobile Shopping Applications on the Smartphone Platform

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