Revealing the Black Box of Shifting from Electronic Commerce to Mobile Commerce: The Case of Jordan

Al-Adwan, Ahmad Samed; Alrousan, Mohammad Kasem; Alsoud, Anas Ratib; Al-Yaseen, Hussein

doi:10.4067/s0718-18762019000100105

Cited by 39 publications

(27 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Removing items that fall outside this value helps to refine the dataset and reduce the probability of it affecting the outcome of the exploratory factor analysis. The result of the Skewness and Kurtosis statistical test for each construct was between +2 and −2 [76], showing that the responses regarding the study's constructs were normally distributed. Furthermore, the Cronbach's alpha shown in Table (2) indicate that all the constructs were above the acceptable level of 0.70 [77].…”

Section: A Exploratory Studymentioning

confidence: 97%

The Effect of Security, Privacy, Familiarity, and Trust on Users’ Attitudes Toward the Use of the IoT-Based Healthcare: The Mediation Role of Risk Perception

2019

View full text Add to dashboard Cite

The Internet of Things (IoT) refers to the network of devices which contain electronics, sensors or software that enables them to connect at anytimeand anywhere through a cyber-physical system. Before the establishment of such a system, it should be considered to what extent the users are ready to adopt and use it in their daily routines. Therefore, this paper explores users' attitudestowardsusing IoT technologies to receive healthcare services. This is in contrast to most previous research, which has studied the technical requirements or devices of the IoT that are required in healthcare services, or ways in which connectivity and performance can be improved using the IoT. Based on known models of technology acceptance, an integrated framework was developed to investigate the impact of security and privacy concerns, and familiarity with the technology, on users' trust in the IoT, and then to measure the effect of that trust on Omani users' attitudes regarding use ofIoT technologies to receive healthcare services. This framework enabled the measurement of risk perception as a mediator between user trust and their attitudes towards using the IoT. Data were collected from 387 respondents and were analysed using SPSS 25 and AMOS 25 statistics software. Exploratory and confirmatory analysis and structural equation modelling were applied. The findings showed that levels of security, privacy and familiarity affected trustin the IoT. Furthermore, these levels of trust in the IoT were found to affect both users' perceptions of risk in, and their attitude towards, using the IoT. The users' risk perception partially mediated the relations between users' trustand their attitude regarding use of the IoT. The framework was supported and interpreted by 40 per cent of the variance in the attitude towards usingthe IoT in healthcare, while the mediator showed 47 per cent of the variance in the attitude towards using the IoT inhealthcare.

show abstract

Section: A Exploratory Studymentioning

confidence: 97%

The Effect of Security, Privacy, Familiarity, and Trust on Users’ Attitudes Toward the Use of the IoT-Based Healthcare: The Mediation Role of Risk Perception

2019

View full text Add to dashboard Cite

show abstract

“…In the m-commerce context, inconsistencies in the results were observed according to the mcommerce context and the sample size. To illustrate this, EE has an effect on m-commerce, but this effect is weak (Yoon and Steege, 2013;Chantzaras et al, 2017;Sun and Chi, 2017;Hsu and Yeh, 2018;Al-Adwan et al, 2019). In contrast, many studies found that EE has a strong positive effect on m-commerce (Martins et al;Chantzaras et al, 2017;Sun and Chi, 2017;Hsu and Yeh, 2018).…”

Section: Effort Expectancymentioning

confidence: 99%

An analysis of the factors affecting mobile commerce adoption in developing countries

Tarhini

Alalwan

Shammout

et al. 2019

RIBS

View full text Add to dashboard Cite

Purpose This study aims to investigate the factors that may hinder or facilitate consumers’ adoption of mobile-commerce (m-commerce) activities in the context of developing countries exemplified here by Oman. Design/methodology/approach A conceptual model was developed through integrating factors from UTAUT2 (performance expectancy, expectancy effort, social influence, facilitating conditions, hedonic motivation, price value, habit and self-efficacy) and SERVQUAL (system quality, service quality and information quality). Data were collected from 530 Omani m-commerce users through a cross-sectional survey. Findings The results of the structural equation modelling showed that consumers’ behavioural intention (BI) towards m-commerce adoption was significantly influenced by information quality, habit, performance expectancy, trust, hedonic motivation, service quality, price value and facilitating conditions, in their order of influencing strength, and explained 65.5 per cent of the variance in BI. Unexpectedly, effort expectancy, social influence, self-efficacy and system quality had no significant effect on BI. Practical implications This study will explain the currently relatively low penetration rate of m-commerce adoption in Oman, which will help local m-commerce businesses to develop the right organizational strategies, especially related to marketing strategies and developing mobile applications, which will draw the attention of many users. Originality/value This is one of the few studies that integrates UTAUT2 with SERVQUAL and tests the proposed model in non-Western cultural contexts. Specifically, in contrast to previous studies, diversity of individuals’ acceptance behaviour is examined in Oman.

show abstract

“…Trust can be transformed into loyalty, which will certainly drive the process of purchasing decision making [16,18,39]. In the digital environment, trust is referred to as "online trust" or "e-trust" and it has commonly been assumed that it is related to e-loyalty in the context e-commerce [13].…”

Section: E-trust Reputation E-satisfaction and E-loyaltymentioning

confidence: 99%

Boosting Customer E-Loyalty: An Extended Scale of Online Service Quality

Al-Adwan

Al-Horani

2019

Information

Self Cite

View full text Add to dashboard Cite

The Customer trust, satisfaction and loyalty with regard to the provision of e-commerce services is expected to be critical factors for the assessment of the success of online businesses. Service quality and high-quality product settings are closely linked to these factors. However, despite the rapid advancement of e-commerce applications, especially in the context of business to consumer (B2C), prior research has confirmed that e-retailers face difficulties when it comes to maintaining customer loyalty. Several e-service quality frameworks have been employed to boost service quality by targeting customer loyalty. Among these prominent frameworks is the scale of online etail quality (eTailQ). This scale has been under criticism as it was developed before the emergence of Web 2.0 technologies. Consequently, this paper aims to fill this gap by offering empirically-tested and conceptually-derived measurement model specifications for an extended eTailQ scale. In addition, it investigates the potential effects of the extended scale on e-trust and e-satisfaction, and subsequently e-loyalty. The practical and theoretical implications are highlighted to help businesses to design effective business strategies based on quality in order to achieve enhanced customer loyalty, and to direct future research in the field of e-commerce.

show abstract

Revealing the Black Box of Shifting from Electronic Commerce to Mobile Commerce: The Case of Jordan

Cited by 39 publications

References 31 publications

The Effect of Security, Privacy, Familiarity, and Trust on Users’ Attitudes Toward the Use of the IoT-Based Healthcare: The Mediation Role of Risk Perception

The Effect of Security, Privacy, Familiarity, and Trust on Users’ Attitudes Toward the Use of the IoT-Based Healthcare: The Mediation Role of Risk Perception

An analysis of the factors affecting mobile commerce adoption in developing countries

Boosting Customer E-Loyalty: An Extended Scale of Online Service Quality

Contact Info

Product

Resources

About