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Nowadays, in mobile communication, smartphone is one of the modern progress and emergent phenomena for business as well as social networking. The purpose of this paper is to investigate an intention to adopt smartphone apps among the entrepreneurs of a developing country.

The quantitative methods based on cross-section data are employed for examining an intention towards adopting smartphone apps. The data are collected through a survey questionnaire. In the initial stage, 500 questionnaires were randomly distributed among the businessmen of a developing context. The value of the return samples is 280. The response rate has remained at 56 per cent.

By applying the Statistical Package for Social Sciences, Pearson’s correlation and multiple regression show a positive and significant relationship of perceived usefulness, ease of use, perceived enjoyment and satisfaction with an intention to adopt smartphone apps. On the other hand, a positive and non-significant relationship between social needs and the intention to adopt smartphone apps is investigated.

The present study may provide valuable insights into the use pattern of smartphones among entrepreneurs and contribute for nurturing an intention to adopt smartphone apps in the developing context. Moreover, such a study may contribute to the literature of the developing country context, especially in the perspective of developing an intention and attitude towards smartphone apps.

This paper offers the factors which may be supportive of the actual usage of smartphone applications. The study is original containing data from a developing country.

The purpose of this paper is to examine the determinants of user adoption of smartphone fitness apps in context of an emerging economy.

The present study uses the extended unified theory of acceptance and use of technology (UTAUT2) as the base model along with two additional constructs, i.e. self-efficacy and personal innovativeness. The data collection was done through an online survey, wherein a total of 324 valid responses were obtained for the statistical analysis. All the hypothesized relationships were tested through partial least square structural equation modelling (PLS-SEM) using an open source programming language and software environment, i.e. R Software along with plspm-package.

Significant predictors of smartphone fitness app adoption intention include effort expectancy, social influence, perceived value, habit and personal innovativeness. Further, this study confirms significant relationship between personal innovativeness and habit, self-efficacy and effort expectancy and effort expectancy and performance expectation. This study reveals that personal innovativeness is the strongest predictor of behavioural intention. Contrary to the expectations, factors like performance expectancy, facilitating conditions and hedonic motivation did not influence behavioural intention.

This study gives significant clues to app developers that can drastically influence the adoption of fitness apps. The findings suggest that marketers should focus on users with high personal innovativeness that can further act as role models and significantly influence their social circle. Interestingly, the findings suggest that fitness apps, as compared to other apps, should not emphasize much on the hedonic value of their offerings.

This study is one of the few studies to examine the adoption of smartphone fitness apps in an emerging economy context by using extended version of UTAUT2 model. Further, this study shows how new endogenous and exogenous variables (i.e. self-efficacy and personal innovativeness) contribute to better explanatory power of the UTAUT2 framework.

This study examines the predictors of behavioral intention of farmers to adopt a mobile agricultural finance application called e-AgriFinance using the Unified Theory of Acceptance and Use of Technology (UTAUT) and perceived cost as an additional predictor.

Using a questionnaire survey, data are collected from 337 farmers in Sarawak, Malaysia. The collected data are analyzed using partial least squares structural equation modelling (PLS-SEM).

The research finds that performance expectancy, effort expectancy, social influence and facilitating conditions are positively related to behavioral intention to adopt the e-AgriFinance app, with social influence being the strongest predictor. Perceived cost is also found to be positively related to behavioral intention which contradicts the prediction of the model.

This study contributes to the use of UTAUT in predicting the adoption of mobile agricultural finance applications among farmers.

For practice, this study provides implications for the Sarawak government to promote digital and financial inclusivity for all communities. This study also provides insights into important features of the e-AgriFinance app for digital finance providers to develop the apps that will be well accepted by farmers in the future.

This research is one of the few studies that focused on farmers' mobile technology adoption in agribusiness from the perspective of an emerging economy.

This study aims to identify factors affecting tourists’ intention of using travel apps installed in their smartphones.

A questionnaire was developed largely based on the available scales in the published literature. A total of 389 participants responded to the survey, out of which 343 valid responses were obtained for statistical analysis.

Significant predictors of smartphone app usage intention included performance expectancy, social influence, price saving, perceived risk, perceived trust and prior usage habits. Usage behavior was largely mediated by usage intention, except in the case of habits. Contrary to the expectation, factors such as hedonistic motivation, facilitating conditions or effort expectancy did not impact usage intention or behavior.

The study gives app developers vital cues on tourist expectations from the apps. Oftentimes, developers tend to focus entirely on the material utility of their apps, neglecting every other factor influencing use. One particular implication is that despite tourism being a hedonistic activity, travel app usage behavior is not a hedonistic activity.

This is one of the few studies to examine adoption of smartphone travel apps in an emerging economy context by using extended unified theory of acceptance and use of technology framework with additional constructs.

本研究旨在于鉴定游客安装旅游手机APP的影响因素。

本论文采用问卷形式进行采样。在389人的样本中，本研究共获得343有效数据以用于数据分析。

经本研究鉴定，影响游客安装手机旅游APP的因素包括：性能预期、社会影响力、节约成本、感知风险、使用习惯。其中，使用动机为影响因素（使用习惯除外）是作用于使用行为的中间变量。与原本研究预期相左，诸如享乐主义的动机、便利条件、以及努力期望等因素对使用动机和使用行为并没有显著作用。

本研究结果对于APP开发商将如何达到游客期望有着至关重要的启迪。开发商往往会专注于APP的物理性能方面的开发，忽视了其他影响APP使用的因素作用。本论文其中一个重要的实际应用价值在于，虽然旅游业是享乐主义的活动，旅游APP的使用行为却大相径庭。

本研究是少数几篇以新型经济体为背景，采用延伸整合型科技接受模式(UTAUT2)为理论框架，研究旅游APP使用情况的论文。

The purpose of this paper is to examine the use of smartphone apps as tools to promote healthy eating behaviors, especially when ordering food and drinks in restaurants. This paper also aims to develop a conceptual model based on literature to test users' intention to use smartphone apps as tools to promote healthy eating habits.

The article is written based on a synthesis of previous research in this area.

Smartphone apps are innovative channels for delivering individual health behavior changes. They offer a range of services that can improve the daily habits of their users. Smartphone apps allow users to keep up with their diets, exercise routines, and overall health. Based on an extensive review, this paper develops a conceptual model that includes the precursors of actual usage of smartphone apps that may assist in building healthy eating habits.

Restaurants are advised to consider developing apps that includes nutritional facts about their menu items. These apps could be used for both consumer education and marketing efforts. The conceptual framework developed in this paper suggests that perceived enjoyment, perceived usefulness, perceived ease of use, self-efficacy and social norms are the antecedents of intention to use these apps.

This is one of the first studies in the foodservice and nutrition fields that looks at the smartphone apps' impact on healthy eating. It offers practical implications for restaurateurs and smartphone app developers. In addition, this is one of the first papers that offers a model to test smartphone users' intention to use smartphone apps when ordering food and drinks in restaurants.

Smartphones have influenced tourists’ information search behaviors and trip experiences in various ways. Operationalized in the air travel context, this study aims to apply the technology acceptance model (TAM) to unveil the causal relationships and potential compatibility or consistency between smartphone apps and travelers’ prior experiences, perceived technological congruence and technology value, attitudes toward price change and usage intentions.

Research data were collected via an online survey administered by a survey sampling company. The online questionnaire queries respondents’ frequency of downloading smartphone apps, familiarity with travel-related mobile apps, frequency of travel experiences, perceived technological congruence of the app and travel needs, attitudes toward price change, intention to purchase the mobile app and demographic information.

Results from structural equation modeling analysis indicate that travelers’ smartphone usage experiences significantly influence their perception of the device’s technological value in relation to travel needs and therefore results in positive attitudes toward price of the new mobile app and intention to use it. Prior trip experience, however, was not found to be an influential determinant in consumers’ smartphone acceptability, which departs from the existing literature.

This study provides evidence for the need to include perceived technological congruence in the construct of travelers’ TAM. It highlights the influence of the technology congruence variable and the compatibility of apps and travel needs in the literature.

智能手机对游客信息搜索行为和旅行体验有着很多影响。本论文针对航空旅行体验, 旨在通过科技接受模型TAM来检验智能手机APP和游客之前经历、感知科技一致性、科技价值、对价格变化的态度、以及使用倾向的关系。

采样数据通过专业问卷取样公司来做在线问卷调查。问卷主要测量受访者通过智能手机下载APP的频率、对旅游APP的熟悉度、旅游频率、APP和旅游需求的感知科技一致性、对态度变化的态度、购买APP的意向、以及统计人口数据。

本论文采用结构方程模型来分析数据, 结果表明, 游客智能手机使用体验对其旅游需求科技一致性有显著影响, 因此, 其对新APP态度和使用意图有积极影响。然而, 之前的旅行经历对消费者智能手机接受度并没有显著影响, 这与现有文献的研究结果有区别。

本论文研究了在游客科技接受模型TAM下的感知科技一致性, 其突出了科技一致性因素和APP与旅游需求协调性的重要性。

、航空旅行、智能手机, 关键词：、科技接受模型tam 、科技一致性

This study aims to test the effect of system quality, information quality and service quality on user engagement and its effect on smartphone travel apps’ satisfaction, love and behavioral intentions.

Using the self-selection sampling technique, data was collected from 417 respondents recruited via Amazon Mechanical Turk. Data was subjected to partial least squares based structural equation modeling.

Results indicate that system quality, information quality and service quality have a significantly positive impact on user engagement with smartphone travel apps. Moreover, user engagement has a positive and significant impact on smartphone app satisfaction, smartphone app love and behavioral intentions.

This is the first study to integrate DeLone and McLean (2003) updated information system success model and stimulus-organism-response model to propose a holistic model of user’s engagement with smartphone travel apps.

本论文旨在检测智能手机旅游app的系统质量、信息质量、和服务质量对于用户参与度的作用, 以及其对app满意度、喜爱、和行为意愿的作用。

本论文采用自选取样技术, 通过Amazon Mechanical Turk共搜集417分问卷。本论文采用PLS-SEM分析数据。

研究结果表明, 系统质量、信息质量、和服务质量对智能手机旅游app的用户参与度起到显著的积极作用。此外, 用户参与度对智能手机app的满意度、喜爱、以及行为意图起到显著的积极作用。

本论文是首篇结合Delone和McLean(2003)改良版IS Success 模型和Stimulus-Organism模型, 以建立针对智能手机旅游app用户参与度的综合类模型。

Existing research lacks a comprehensive understanding of the individual factors that may transform an “ordinary” customer into an active participator in the service innovation process and/or the situational factors that determine a customer's participation in any stage of the service innovation process. The purpose of this paper is to fill these research gaps by developing and validating a conceptual framework on CPSIB in the Indian hotel industry by using smartphones to access SNS apps.

A cross-sectional survey design method was used in this study to collect representative samples with greater response rates. The target population included in this study were hotel guests of all of the star category hotels in New Delhi who had earlier experiences of staying in star category hotels. Structured questionnaire was formulated, which was later pre-tested to confirm its reliability and validity. Out of 400 questionnaires, 348 usable responses were obtained.

This research examines CPSIB in the Indian hotel industry using SNS smartphone apps. It confirms that user innovativeness and perceived trust in the service provider determine customers' participative service innovation behavior, which further results in positive adoption intention via SNS smartphone apps.

This research provides valuable insights into the hotel industry, specifically in the context of India. However, it has a few limitations that must be taken into account when generalizing its results.

First, investigating the key antecedents and consequences of CPSIB has important implications for marketing practitioners. Moreover, it was observed that hotel guests with higher innovativeness and trust in the service provider would show positive participative service innovation behavior toward innovating new services along with the hotel service providers, which may result in a positive adoption intention toward the newly developed services. Second, hoteliers should integrate hotel guests into hotel service innovation via the use of SNS smartphone apps.

This research conceptualizes that user innovativeness is a driving factor for CPSIB that may further generate a positive adoption intention toward newly developed services.

To the best of the authors’ knowledge, only a very few studies have tested the interrelationships between individual factors and customer participation behavior in the mobile technology-mediated service ecosystem simultaneously. Furthermore, research examining the individual and situational factors influencing CPSIB and adoption intention towards newly developed services using SNS smartphone apps is still in a nascent stage.

This study proposes a conceptual model to comprehensively understand how sports fans perceive and accept smartphones and applications in a sport consumption context by developing a series of propositions. Theoretically based on the Technology Acceptance Model (TAM) and the Sport Website Acceptance Model (SWAM), this study provides fundamental groundwork to better conceptualise sports fans' decision making processes involving the latest technology used to consume sport.

The main purpose of this study is to investigate what affects a customer's decision to use the hotel smartphone applications when he/she makes a room reservation.

A total of 266 usable data was collected through an online survey. The research model was tested using confirmatory factor analyses and structural equation modeling.

This study revealed that perceived usefulness, perceived credibility, perceived equipment risk, and perceived change risk affected customers' intention to book a hotel room using hotel smartphone apps. Perceived ease of use did not have a significant effect on behavioral intention.

This study extended TAM and the existing literature of mobile technology in the lodging industry. This article explored both existing variables and new variables in studying customers' intention to use hotel smartphone apps when booking a hotel room.