What makes Jordanian residents buy smart home devices?

Mashal, Ibrahim; Shuhaiber, Ahmed

doi:10.1108/k-01-2018-0008

Cited by 35 publications

(22 citation statements)

References 31 publications

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“…The postulated hypotheses were examined in this study, and the results were consistent with the findings of previous studies (Bai, 2015;Hlee et al, 2019;Lee et al, 2019;Mashal & Shuhaiber, 2018;Nguyen, 2015;Park et al, 2018;Ramayah & Ignatius, 2005;Yang et al, 2017;Yim & Yoo, 2020), which confirmed the significant and positive effect of PE and PEOU on CA.…”

Section: Discussionsupporting

confidence: 90%

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Determinants influencing customers’ acceptance of smart restaurants in Penang, Malaysia

Abhari

Jalali

Jaafar

2022

AGJSR

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PurposeThis study investigated the linkage between customers’ acceptance (CA) level and smart service competencies in the food sector across Penang, Malaysia. This research aims to develop a vision of how smart technology may transform the business model in hospitality industry to create value.Design/methodology/approachIn this study, the level of CA of the smart restaurant is proposed as the dependent variable, while the perceived security (PS), perceived ease of use (PEOU) and perceived enjoyment (PE) are proposed as independent variables (IVs). The quantitative approach and simple random sampling method were adopted in this study. Data were collected from 150 respondents by distributing 225 survey questionnaires to restaurant customers across Penang, Malaysia. The data were analysed by the reliability test, factor analysis and multiple regression analysis using SPSS 23.0 softwareFindingsThe study outcomes indicated that PE and PEOU emerged as the most significant predictors for CA of smart services in restuarants in Penang. The smart services provide customers to experience enjoyable dining services with accurate and user-friendly service delivery.Originality/valueThis study may serve as a guideline for food and beverage (F&B) business owners and restaurant operators with an industrial standard to adopt smart services in restaurants and their progression to develop the intention to use such a novel technology. This research is one of the few attempts that have looked into the influences of hedonic, comfortable and security value on customers’ acceptance level of smart restaurant services.

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Section: Discussionsupporting

confidence: 90%

“…Despite the positive impact of smart services, quick adoption of this technology is still in its infancy phase with some diffusion (Mashal & Shuhaiber, 2018). With the rapidly increasing levels of internet usage, ICTs have exerted a significant impact on the interaction of users and technology with devices (Mani & Chouk, 2017).…”

Section: Perceived Security (Ps)mentioning

confidence: 99%

Determinants influencing customers’ acceptance of smart restaurants in Penang, Malaysia

Abhari

Jalali

Jaafar

2022

AGJSR

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“…These mobile applications must be easy to use and have a user-friendly interface that facilitates user interaction with IoT application. Usefulness is the extent to which users think that using IoT applications would enhance and improve their daily life quality (Mashal and Shuhaiber, 2019).…”

Section: Methodsmentioning

confidence: 99%

Fuzzy analytic hierarchy process model for multi-criteria analysis of internet of things

Mashal¹,

Alsaryrah

2019

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Purpose Nowadays, there are various internet of things (IoT) applications covering many aspects of daily life. Many people own numerous smart objects that use these IoT applications. The purpose of this study is determining suitable IoT applications for each user which is a relevant challenge because it is amulti-criteria decision-making. Design/methodology/approach To solve this challenge, the authors propose fuzzy analytical hierarchy process model. Based on the opinions of IoT experts, the model and the hierarchy were designed to assess and compare three crucial IoT criteria, namely, object, application and providers. Findings The results indicated that the application criterion is far more relevant for users other than the two criteria. The findings of this study offer insights into more effective decision-making for IoT application developers and providers. Originality/value This study contributes to the IoT through proposing a fuzzy model to classify IoT applications. The findings provide meaningful implications for IoT application providers.

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“…New variables such as perceived enjoyment, perceived playfulness, perceived critical mass, perceived user resources and trust have been proposed for developing the TAMs (Galib et al , 2018). Innovativeness (Okumus et al , 2018; Hunafa et al , 2017), entrepreneurship (Pipitwanichakarn et al , 2018), culture (Alsaleh et al , 2019), knowledge (Singhal et al , 2019), marketing strategy (Singhal et al , 2019), social strategy (Hossain et al , 2019), technology readiness (Kim and Chiu, 2019), awareness (Degarege et al , 2019; Kowatsch and Maass, 2012), external pressure (Khan and Ali, 2018), trust (Kowatsch and Maass, 2012), security (Gao and Bai, 2014b), technical features (Bushra, 2014), budget limitations, cost, accessibility of other alternatives and time pressure (Mashal and Shuhaiber, 2019), promotion and brand loyalty (Shin et al , 2018) and perceived ubiquity and perceived reachability (Kim and Garrison, 2009) are other variables for TA.…”

Section: Literature Review On Technology Acceptancementioning

confidence: 99%

Stakeholders’ consensus on organizational technology acceptance; using thematic analysis and SEM

Sarkeshikian

Zakery

Shafia

et al. 2020

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Purpose Much research has been conducted on technology acceptance (TA), which is mainly about the acceptance by one user. As more than one person should be involved in business-to-business TA decision-making, it is suggested that different processes for making a consensus among different stakeholders should be considered. The purpose of this study is to demonstrate a model for essential activities and characteristics of advocators for accelerating the stakeholders’ consensus in the technology acceptance (SCTA). Design/methodology/approach The conceptual model of this research is presented using a thematic analysis of the interviews with the relevant experts and existing literature. Furthermore, the structural equation model was applied for analyzing empirically how advocators’ characteristics and activities affect consensus. In total, 248 respondents completed the questionnaires. Experts’ opinions, Krippendorff’s alpha index, Cronbach’s alpha coefficient and goodness of fit indices were applied to verify the reliability of the results. Findings Results show that “being leader” and “being influential” are two main characteristics for the advocators’ team that significantly affect SCTA. Reducing perceived “risk” for each stakeholder, developing a “common understanding” among them and demonstrating “resource readiness” are also the main tasks of advocators leading to SCTA. Originality/value The role of advocators in SCTA has been neglected. The main contribution of this study is identifying the required advocators’ activities and characteristics for achieving SCTA.

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What makes Jordanian residents buy smart home devices?

Cited by 35 publications

References 31 publications

Determinants influencing customers’ acceptance of smart restaurants in Penang, Malaysia

Determinants influencing customers’ acceptance of smart restaurants in Penang, Malaysia

Fuzzy analytic hierarchy process model for multi-criteria analysis of internet of things

Stakeholders’ consensus on organizational technology acceptance; using thematic analysis and SEM

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