Intention to use advanced mobile phone services (AMPS)

Islam, Zahidul; Low, K C Patrick; Hasan, Ikramul

doi:10.1108/00251741311326590

Cited by 66 publications

(44 citation statements)

References 38 publications

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“…Shopping via mobile shopping apps could be new and challenging to the digital immigrants but not the digital natives who are comfortable with mobile phones and mobile apps. This result is consistent with Islam et al (2013) who attributed the insignificant role played by facilitating conditions to the lesser need for support infrastructure among younger adults who possess IT knowledge necessary to use advanced mobile phone services. The young adult users are found to use gadgets without referring to the user manual (Prensky, 2001a&b).…”

Section: Hypotheses Testingsupporting

confidence: 81%

“…In fact, 35.1% of Malaysian hand phone users are young adults aged between 20 to 29 years (MCMC, 2014). The second reason is attributed to their higher acceptance of the latest mobile phone services (Islam, Kim & Hassan, 2013). Review of literature shows that young adult consumers tend to portray distinct and different buying attitudes and behaviours from that of the older generations (c.f.…”

Section: Introductionmentioning

confidence: 99%

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Young Adult Malaysian Consumers’ Intention to Shop via Mobile Shopping Apps

Ing¹,

Osman²,

Cheuk³

2018

AJBR

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This study aims to understand the intention among young adult Malaysian consumers to shop via mobile shopping apps. Utilizing the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), factors including Performance Expectancy, Effort Expectancy, Facilitating Conditions, Social Influence, Habit, Hedonic Motivation, and Personal Innovativeness are used to understand shopping intention via mobile shopping apps. A total of 180 usable questionnaires were collected and analyzed. Young adult consumers were found to have different sets of considering factors which influence their intention to shop via mobile shopping apps. The results indicate the user context variables proposed by UTAUT2, namely hedonic motivation and habits play the most significant roles on the young adult consumers, followed by social influence. However, this study revealed no significant relationships between performance expectancy, effort expectancy, facilitating conditions and personal innovativeness with intention to shop. Implications, limitations, future recommendations, and conclusion of this study are further discussed in this paper.

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Section: Hypotheses Testingsupporting

confidence: 81%

Section: Introductionmentioning

confidence: 99%

Young Adult Malaysian Consumers’ Intention to Shop via Mobile Shopping Apps

Ing¹,

Osman²,

Cheuk³

2018

AJBR

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“…While, there is no positive significant effect of perceived usefulness among DSS users on actual usage of DSS. This finding is consistent with some studies (Abbasi et al, 2011) and inconsistent with Zhang et al, 2013;Islam et al, 2013). Finally, the results show that there is no positive significant direct impact of perceived system quality on actual usage of DSS.…”

Section: Research Question 1: Concerned With the Contribution Of The supporting

confidence: 81%

The Effect of Perceived Factors of Decision Support Systems on Actual Usage: Behavioral Intention of Using Decision Support Systems as a Mediating Variable: “An Empirical Study of Jordanian Higher Education Institutions”

Al-Momani¹

2016

IJBM

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Decision support systems (DSS) are interactive computer-based systems that provide information, modeling, and manipulation of data. DSS are clearly knowledge-based information systems to capture, Processing and analysis of information affecting or aims to influence the decision making process, performed by people in scope professional job appointed by a user. Hence, this study describes briefly the key concepts of decision support systems such as perceived factors with a focus on quality of information systems and quality of information variables, behavioral intention of using DSS, and actual DSS use by adopting and extending the technology acceptance model (TAM) of Davis (1989);and Davis, Bagozzi and Warshaw (1989).There are two main goals, which stimulate the study. The first goal is to combine Perceived DSS factors and behavioral intention to use DSS from both the social perspective and a technology perspective with regard to actual DSS usage, and an experimental test of relations provide strategic locations to organizations and providing indicators that should help them manage their DSS effectiveness. Managers face the dilemma in choosing and focusing on most important factors which contributing to the positive behavioral intention of use DSS by the decision makers, which, in turn, could contribute positively in the actual DSS usage by them and other users to effectively solve organizational problems. Hence, this study presents a model which should provide the useful tool for top management in the higher education institutions-in particular-to understand the factors that determine using behaviors for designing proactive interventions and to motivate the acceptance of TAM in order to use the DSS in a way that contributes to the higher education decision-making plan and IT policy.To accomplish or attain the above mentioned objectives, the researcher developed a research instrument (questionnaire) and distributed it amongst the higher education institutions in Jordan to collect data in order to empirically study hypothesis testing (related to the objectives of study). 341 questionnaires were returned from the study respondents. Data were analyzed by utilizing both SPSS (conducted descriptive analysis) and AMOS (conducting structural equation modelling).Findings of the study indicate that some hypotheses were supported while the others were not. Contributions of the study were presented. In addition, the researcher presented some recommendations. Finally, this study has identified opportunities for further study which has progressed greatly advanced understanding constantly of DSS usage, that can help formulate powerful strategies Involving differentiation between DSS perceived factors.Keywords: perceived factors of decision support systems, behavioral intention of using decision support systems, Jordanian higher education institutions

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“…The interpretation of the construct is as follows, according to Islam et al . (, p. 829): ‘determines the individual's perception of behaviour to gain specific reward(s).’ This is consistent with the term ‘relative advantage,’ which has been used to denote that perceived usefulness is a relative construct (Gerrard and Cunningham, ; Moore and Benbasat, ). There is a general consensus within the literature that perceived usefulness is a strong determinant of the adoption of technological innovations in both developed and developing markets (Celik, ; Chau and Lai, ; Eriksson et al ., ; Pikkarainen et al ., ).…”

Section: Literary Reviewsupporting

confidence: 76%