scholarly journals What Drives the Adoption of Smart Travel Planning Apps? The Relationship between Experiential Consumption and Mobile App Acceptance

Author(s):  
Ree C. Ho . ◽  
Muslim Amin

The increased use of the smart travel planning apps as a new tool in hospitality and hotel industry has changed the way travelers make their travel plans. The apps users obtained their preferred tour itinerary and subsequently determine the choice of theirs tour destinations. Therefore, the objective of this study is to investigate the effects of itinerary plans developed by smart travel planning apps on the choiceof tour destination. The underpinning theories were unified theory of acceptance and use of technology model and experiential consumption(UTAUT).The study was conducted in Malaysia and the sample consisted of 307 travelers who are familiar with apps usage. Variance-based-PLS technique was used to analyze and test the hypotheses. The resultconfirmedthatUTAUTdimensionshavesignificantrelationshipwiththeintention to use the itinerary. Both hedonic and utilitarian values from personal consumption perspectivesignificantlymotivatetravelers’behavioralintentiontousethesmarttravel apps. This study contributes to the research on the intention and usage behavior of mobile apps technologies by developing an integrative model to explain the intentions and usage behavior of the tour itinerary.

2017 ◽  
Vol 9 (3) ◽  
pp. 248-264 ◽  
Author(s):  
Preeti Tak ◽  
Savita Panwar

Purpose The purpose of this paper is to understand antecedents of app-based shopping in an Indian context. The paper has used unified theory of acceptance and use of technology (UTAUT) 2 model for examining the impact of various constructs on behavioral intention and usage behavior of smart phone users toward the mobile shopping apps. Design/methodology/approach The constructs were tested and validated by means of a structured questionnaire which was administered on a sample of 350 mobile app shoppers in Delhi. AMOS 20 was used to analyze the collected data. Findings The study revealed that hedonic and habit are the strongest predictors of users’ behavioral intention to use mobile apps for shopping. Respondents are also influenced by the deals that are being offered by the marketers. The research also suggests that facilitating conditions help in usage of mobile apps for shopping. Research limitations/implications Managerial implications simplifying the interface which would encourage the less technologically advanced individuals to use mobile apps. Hedonic element of shopping through mobile apps should also be enhanced. Originality/value This study contributes to the research on intentions and usage behavior of consumer technologies by adopting UTAUT 2 model to explain the intentions and usage behavior toward mobile apps for shopping. The paper also measured the role of deals in influencing the consumers.


2019 ◽  
Vol 10 (3) ◽  
pp. 415-430
Author(s):  
José-Alberto Castañeda ◽  
María-José Martínez-Heredia ◽  
Miguel-Ángel Rodríguez-Molina

Purpose The overall tourist experience is changing because of the development of mobile devices, ubiquitous internet access and applications (apps) designed specifically for tourism. The aim of this study is to identify the determinants of continued use and recommendation of such apps (loyalty), framed within the unified theory of acceptance and use of technology (UTAUT2) model, considering innate user traits (innovativeness) and one of the principal attributes of mobile phones (portability). Design/methodology/approach The sample comprised 285 Spanish tourists who owned a smartphone and were using some kind of mobile app in connection with their stay. Findings The results show that the UTAUT2 model is effective in explaining loyalty toward tourism apps and that its variables mediate the effect of user and mobile device characteristics. Research limitations/implications To ensure continued use of a tourism app, it should possess the following core attributes: deliver a positive cost–benefit trade-off, be fun to use, provide up-to-date and useful information and generate a degree of dependency in the user. Originality/value The present research is particularly relevant because of its focus on the use of apps during the stay, given that most of the extant literature centers on previous stages (such as service booking).


2018 ◽  
Vol 10 (4) ◽  
pp. 1-17 ◽  
Author(s):  
Sunday Adewale Olaleye ◽  
Jari Salo ◽  
Ismaila Temitayo Sanusi ◽  
Adekunle O Okunoye

Despite the huge leap of mobile apps, there are limited empirical studies that focus on the relationship between customer perception of performance expectation, trust, tension free and mobile apps usefulness. This study integrates and extends the unified theory of acceptance and use of technology (UTAUT) with trust and gratification theories to explain mobile app usefulness to retailing customers. Quantitative methodology and variance structural equation modelling forms the data analysis technique for this study. The primary objective of this article is to examine the mobile app usefulness in the context of retailing customers. Specifically, the study intention is to illuminate the retailers and other stakeholders to invest positively on mobile app market segment and to optimize their mobile app strategy for the betterment and advancement of their business especially in getting more revenue from the mobile app segment. The study highlights practical implications and emphasize an appropriate future study.


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Ahlam Fuad ◽  
Maha Al-Yahya

Mobile app stores provide an extremely rich source of information on app descriptions, characteristics, and usage, and analyzing these data provides insights and a deeper understanding of the nature of apps. However, manual analysis of this vast amount of information on mobile apps is not a simple and straightforward task; it is costly in terms of human effort and time. Computational methods such as topic modeling can provide an efficient and satisfactory approach to mobile app information analysis. Topic modeling is a type of statistical modeling technique for discovering abstract topics that occur in a set of documents. This study explores the relationship between features of Arabic apps and investigates how well the current predefined Google Play app categories represent the type and genre of Arabic mobile apps. Based on the textual app description analysis, we aim to design and develop a sustainable classification system using the Latent Dirichlet Allocation (LDA) method of topic modeling in order to cover the Arabic apps classification in Google Play app store. Our study supports the hypothesis that the textual app descriptions are effective in suggesting new categories for Arabic mobile apps in Google Play app store. Also, the results indicated that the current classification on Google Play app store is not suitable for our case study “Arabic apps,” as well as it is not sustainable, as it can not cover the new app types including Arabic apps. This study offers an important contribution to Arabic app analysis and design, to improve app search and exploration in several domains such as business, marketing, and technical development. Furthermore, it provides insights for the future of Arabic app research and provides guidance for the development of an Arabic app dashboard that will support users on how to select an app based on their specific needs.


2018 ◽  
Vol 47 (1) ◽  
pp. 17-31 ◽  
Author(s):  
Cuauhtemoc Luna-Nevarez ◽  
Enda McGovern

As the use of technology evolves in education, an extensive range of new smart devices and digital applications is becoming available to academics. Digital magazines are an example of such technologies, which can help educators to improve the learning experience of their students inside and outside of the classroom. Digital magazines are widely available and some can be further customized and curated by instructors using mobile apps. This article explores the impact of curated digital magazines, created and distributed via a mobile app—Flipboard, in enhancing students’ engagement, enjoyment, and learning of class-related content. Overall, students responded favorably to the adoption of this technological innovation. Students exposed to the digital magazines and mobile app displayed higher levels of enjoyment with class content and performed better on a knowledge assessment, relative to students in a control condition. The article concludes with a discussion of results and implications for future research.


2017 ◽  
Vol 33 (S1) ◽  
pp. 108-109
Author(s):  
Tomomi Takeshima ◽  
Kosuke Iwasaki ◽  
Hideki Inoue ◽  
Takeru Hiki

INTRODUCTION:Recently, a number of mobile apps to record symptoms and medication by patients themselves have been developed. These apps are expected to improve the patients' symptoms through self-management, and to enable a smooth decision making through effective communication between doctors and patients. “Itami Renrakucho” (Pain Diary, Welby Inc.) is one of these apps that records body pain, medication, physical conditions, and activity in life. We examined the relationship between pain and medication/activity based on its data.METHODS:Data between 25 December 2015 and 9 December 2016 were used. Medication and degree of pain (0-10, low < high) were recorded at morning, daytime, evening, and bedtime. Of ninteen activities, up to three were recorded about whether they could or could not do them. We compared the degree of pain among different frequency/timing of medication, or activities that they could or could not do.RESULTS:Data included 708 individuals. Among 561 individuals who answered about pain, the mean (Standard Deviation, SD) degree was 5.0 (2.3). The mean degree in individuals taking 0, 1, 2, 3, and 4 times medication a day were 4.6, 5.0, 5.4, 5.5, and 6.2, respectively. Regarding medication timing and degree of pain in two consecutive time points (t0, t1), regression towards the mean occurred for individuals without medication in both time points. The degree changed more for individuals taking medicine only at t0, but not for those taking at both time points. Weaker pain was reported when they could do hanging laundry and rising early than when they could not, but they could do shopping, strolling and light exercise even having stronger pain.CONCLUSIONS:We showed a tendency of relationship between pain and medication/activity based on the data from the app. More data and connecting to claims will help us to show characteristics of patients and diseases, select a treatment, and evaluate a medicine.


2020 ◽  
Vol 37 (3) ◽  
pp. 341-352
Author(s):  
Eunyoung (Christine) Sung

Purpose This paper aims to investigate factors affecting the relationship between consumers’ brand trust and purchase intentions after exposure to targeted mobile app ads during holiday periods, including the mediating roles of consumers’ ad attitudes, different discount levels and their interactions; and the moderating roles of the anticipated gain (loss) (i.e. access to discounts) associated with mobile app usage (non-usage). Design/methodology/approach Data were collected from 559 respondents who were randomly assigned to six groups based on a 2 (ad type: new, holiday-themed vs regular product) × 3 (promotion level: 0% vs 20% vs 40%) between-subjects design. Regression analysis and structural equation modeling techniques are used to test the hypothesized mediators and moderators. Findings Consumers with high brand trust are likely to purchase both new and regular products. Consumers with low brand trust are most responsive to mobile app ads for regular products when offered a high discount. Ad attitudes across all discount rates and product types mediate the relationship between brand trust and purchase intentions; the anticipated gain associated with using a mobile app (i.e. access to discounts) moderates the effect of attitudes toward ads promoting regular products when a high discount is offered. Originality/value To the best of the author’s knowledge, this is one of the first studies to explore how interactions among important factors in contexts involving mobile apps and holiday promotions influence and mediate the relationship between brand trust and purchase intentions. This study also reveals an important boundary condition that moderates consumers’ responses to targeted mobile app ads in the context of holiday marketing.


2019 ◽  
Vol 27 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Subhro Sarkar ◽  
Arpita Khare ◽  
Amrut Sadachar

Purpose The purpose of this paper is to validate the consumer styles inventory (CSI) scale for understanding the decision-making styles of shopping app users. The validated scales are used to examine the relationship between consumers’ decision-making styles and factors affecting the use of mobile shopping apps. Design/methodology/approach A total of 428 valid responses are collected from the users of the five most popular shopping apps. The mobile shopping apps are selected based on a popularity study. Data are collected from mobile app shoppers through an online survey. Findings Findings reveal a new set of factors that can be used for understanding use of mobile shopping apps. Decision-making styles influence the adoption of mobile apps for shopping. Factors responsible for the adoption of mobile shopping apps such as usefulness and risk perceptions differ across consumers with different decision-making styles. Practical implications The findings would facilitate online retailers in building focused marketing strategies for segmenting and targeting the consumers having different decision-making styles. Originality/value The current research is the first of its kind to examine the applicability of the CSI scale in the context of mobile app shoppers in an emerging economy. The findings enrich the existing literature by providing empirical support to the relationship between decision-making styles and factors affecting adoption of shopping using mobile apps.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lobel Trong Thuy Tran ◽  
Phuong Thanh Nguyen

PurposeGiven the growing importance of blockchain technology (BT), the authors use the unified theory of acceptance and use of technology (UTAUT), which posits that BT adoption intention depends on the complementarity between UTAUT and blockchain transparency (BTRAN) and examine it in a new setting: the boundary condition of perceived helpfulness.Design/methodology/approachThe authors review the major conceptual literature on both UTAUT and BT to identify their principal common factors. They examine the complementarity between UTAUT and BTRAN and further test the moderating effect of perceived helpfulness. The authors used the PLS technique for data analysis because this technique can test the direct and interaction effects.FindingsThe complementarity between UTAUT and BTRAN strongly affects BT adoption intention. The authors further show that perceived helpfulness moderates the relationship between adoption intention and usage behavior. At high levels of perceived helpfulness, usage behavior increases rapidly with adoption intention.Originality/valueThe results indicate that UTAUT is a valuable theory to identify the determinants of adoption intention, confirming its robustness in blockchain-enabled supply chain management. The combination of UTAUT and BTRAN can contribute a plausible approach to the strategy literature: the complementarity effect might create more benefits than adopting a single practice.


2021 ◽  
Vol 20 (2) ◽  
Author(s):  
Seyedeh Zeinab Ghaheri ◽  
Alireza Hazbenejad ◽  
Fatemeh Maghsoudi ◽  
Esmat Radmanesh

Background: The use of technology in distance education can help cross the borders of space and time for lifelong learning. One of the active learning methods is the use of the mobile apps with the potential to develop medical education. Objectives: The aim of this study was to evaluate the efficacy of using diabetes educational mobile app in the endocrine physiology virtual classroom during the COVID-19 pandemic. Methods: In the present study, an educational mobile app for diabetes, including the information modules, as well as educational videos made by the researchers of this study, was designed for 32 medical students of Abadan University of Medical Sciences who had endocrine physiology courses in the first semester of the academic year 2019 - 2021. A researcher-made questionnaire consisting of 10 questions about learning the educational content of diabetes through the application containing educational videos in the virtual classroom of endocrine physiology, scoring based on a five-point Likert scale, was provided. The data were analyzed by SPSS 21 using descriptive statistics. Results: The results obtained based on the highest satisfaction percentage were as follows: creativity in learning (90.625%), fast learning (87.5%), accessible learning (84.375%), practical learning (81.25%), sustainable learning (81.25%), eagerness to learn (78.78%), attractive learning (78.125%), accurate learning (78.125%), reducing the student's dependence on the teacher (75%), and feeling more confident (75%). Conclusions: Using educational applications along with other teaching methods can lead to fast, creative, practical, accurate, and lasting learning, and due to its attractiveness, it creates a desire to learn in people.


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