A SEM-neural network approach for predicting antecedents of m-commerce acceptance

doi:10.1016/J.IJINFOMGT.2016.10.008

Home
/
Papers
/
A SEM-neural network approach for predicting antecedents of m-commerce acceptance

Journal Article•DOI•

A SEM-neural network approach for predicting antecedents of m-commerce acceptance

Francisco Liébana-Cabanillas¹, Veljko Marinković², Zoran Kalinic²•Institutions (2)

University of Granada¹, University of Kragujevac²

01 Apr 2017-International Journal of Information Management (Pergamon)-Vol. 37, Iss: 2, pp 14-24

TL;DR: The results showed that customization and customer involvement are the strongest antecedents of the intention to use m-commerce, which will be useful for m- commerce providers in formulating optimal marketing strategies to attract new consumers.

read less

About: This article is published in International Journal of Information Management.The article was published on 2017-04-01. It has received 310 citations till now. The article focuses on the topics: Mobile commerce & Structural equation modeling.

...read moreread less

Citations

PDF

Open Access

More filters

Journal Article•DOI•

Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda

[...]

Yanqing Duan¹, John S. Edwards², Yogesh K. Dwivedi³•Institutions (3)

University of Bedfordshire¹, Aston University², Swansea University³

01 Oct 2019-International Journal of Information Management

TL;DR: The challenges associated with the use and impact of revitalised AI based systems for decision making are identified and a set of research propositions for information systems (IS) researchers are offered.

...read moreread less

703 citations

Additional excerpts

...Other papers using AI to analyse results include (Liébana-Cabanillas et al., 2017; Rekik et al., 2018)....
[...]

Journal Article•DOI•

Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA

[...]

Maciel M. Queiroz¹, Samuel Fosso Wamba²•Institutions (2)

University of São Paulo¹, Toulouse Business School²

01 Jun 2019-International Journal of Information Management

TL;DR: A model based on a slightly-altered version of the classical unified theory of acceptance and use of technology (UTAUT) is developed, which revealed the existence of distinct adoption behaviors between India-based and USA-based professionals.

...read moreread less

543 citations

Journal Article•DOI•

Examining the role of trust and quality dimensions in the actual usage of mobile banking services: An empirical investigation

[...]

Sujeet Kumar Sharma¹, Manisha Sharma²•Institutions (2)

Indian Institute of Management Tiruchirappalli¹, Gautam Buddha University²

01 Feb 2019-International Journal of Information Management

TL;DR: Satisfaction and intention to use stand as two important precedents of actual usage of m-banking, and the satisfaction also mediates the relationship between service quality, information quality and trust with intention toUse m- banking and negates with that of system quality.

...read moreread less

316 citations

Journal Article•DOI•

Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model

[...]

Abdullah M. Baabdullah¹, Ali Abdallah Alalwan², Nripendra P. Rana³, Hatice Kizgin³, Pushp P. Patil³ - Show less +1 more•Institutions (3)

King Abdulaziz University¹, Al-Balqa` Applied University², Swansea University³

01 Jan 2019-International Journal of Information Management

TL;DR: The gap in the M-Banking literature in Saudi Arabia would be bridged by proposing a comprehensive conceptual model that scrupulously clarifies the use of M-banking from the perspective of Saudi users.

...read moreread less

287 citations

Cites background from "A SEM-neural network approach for p..."

...Thus, when updating a given technological service automatically, users should not experience difficulty or complexity in using the technology; otherwise, their usage will plummet significantly (Liébana-Cabanillas et al., 2017; Yiu et al., 2007; Yu, 2012)....
[...]

Journal Article•DOI•

Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach

[...]

Francisco Liébana-Cabanillas¹, Veljko Marinković², Iviane Ramos de Luna¹, Zoran Kalinic²•Institutions (2)

University of Granada¹, University of Kragujevac²

01 Dec 2017-Technological Forecasting and Social Change

TL;DR: A new research model used for the prediction of the most significant factors influencing the decision to use m-payment found that the mostificant variables impacting the intention to use were perceived usefulness and perceived security variables.

...read moreread less

245 citations

1
2
3
4
…
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62

Collapse

References

PDF

Open Access

More filters

Journal Article•DOI•

Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

[...]

Claes Fornell¹, David F. Larcker²•Institutions (2)

University of Michigan¹, Northwestern University²

01 Feb 1981-Journal of Marketing Research

TL;DR: In this paper, the statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined, and a drawback of the commonly applied chi square test, in additit...

...read moreread less

Abstract: The statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined. A drawback of the commonly applied chi square test, in addit...

...read moreread less

56,555 citations

Perceived Usefulness, Perceived Ease of Use, and User

[...]

Perceived Usefulness, Fred D. Davis

01 Jan 1989

TL;DR: Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage.

...read moreread less

40,975 citations

"A SEM-neural network approach for p..." refers background in this paper

...It is usually considered as “the degree to which a person believes that using a particular system would enhance his or her job performance” (Davis, 1989; p 320). In the m-commerce context, Wei et al. (2009) defined it as the extent to which a consumer believes that, while using m-commerce, his or her job performance and daily activities will be improved. Compared to other important TAM construct – perceived ease of use – perceived usefulness usually has a stronger influence on new technology adoption (Davis, 1989). Chong (2013b) stressed the opinion that consumers will accept some new technology such as m-commerce only if they find it to be more useful than its alternatives, such as e-commerce. Perceived usefulness was examined as a predictor of new technology acceptance in various areas, such as m-payment (Kim, Mirusmonov, & Lee, 2010; Liebana-Cabanillas, Sanchez-Fernandez, & Munoz-Leiva, 2014a; Schiertz, Schilke, & Wirtz, 2010; Shin, 2009), Internet banking (Cheng, Lam, & Yeung, 2006; Chong, Ooi, Lin, & Tan, 2010; Pikkarainen, Pikkarainen, Karjaluoto, & Pahnila, 2004), mobile Internet (Kim, Chan, & Gupta, 2007) and m-services (Mallat, Rossi, Tuunainen, & Oorni, 2009; Zarmpou et al., 2012). Wei et al. (2009) found perceived usefulness as the most significant of five examined predictors of intention to use m-commerce in Malaysia. Also, Ko, Kim, and Lee, 2009 reported perceived usefulness as a strong antecedent of intention to adopt mobile shopping in Korea. Liebana-Cabanillas, Sánchez-Fernandez, and Munoz-Leiva, 2014b found that the impact of perceived usefulness on intention to use mobile payment is significantly higher among men than among women, and that usefulness had no statistically significant effect on intention to use among women. Analyzing different mcommerce usage activities, Chong (2013c) and Chan and Chong (2013) found that perceived usefulness had significant influence on content delivery, transaction-based and entertainment activities,...
[...]
...It is usually considered as “the degree to which a person believes that using a particular system would enhance his or her job performance” (Davis, 1989; p 320). In the m-commerce context, Wei et al. (2009) defined it as the extent to which a consumer believes that, while using m-commerce, his or her job performance and daily activities will be improved....
[...]
...It is usually considered as “the degree to which a person believes that using a particular system would enhance his or her job performance” (Davis, 1989; p 320). In the m-commerce context, Wei et al. (2009) defined it as the extent to which a consumer believes that, while using m-commerce, his or her job performance and daily activities will be improved. Compared to other important TAM construct – perceived ease of use – perceived usefulness usually has a stronger influence on new technology adoption (Davis, 1989). Chong (2013b) stressed the opinion that consumers will accept some new technology such as m-commerce only if they find it to be more useful than its alternatives, such as e-commerce. Perceived usefulness was examined as a predictor of new technology acceptance in various areas, such as m-payment (Kim, Mirusmonov, & Lee, 2010; Liebana-Cabanillas, Sanchez-Fernandez, & Munoz-Leiva, 2014a; Schiertz, Schilke, & Wirtz, 2010; Shin, 2009), Internet banking (Cheng, Lam, & Yeung, 2006; Chong, Ooi, Lin, & Tan, 2010; Pikkarainen, Pikkarainen, Karjaluoto, & Pahnila, 2004), mobile Internet (Kim, Chan, & Gupta, 2007) and m-services (Mallat, Rossi, Tuunainen, & Oorni, 2009; Zarmpou et al., 2012). Wei et al. (2009) found perceived usefulness as the most significant of five examined predictors of intention to use m-commerce in Malaysia....
[...]
...It is usually considered as “the degree to which a person believes that using a particular system would enhance his or her job performance” (Davis, 1989; p 320). In the m-commerce context, Wei et al. (2009) defined it as the extent to which a consumer believes that, while using m-commerce, his or her job performance and daily activities will be improved. Compared to other important TAM construct – perceived ease of use – perceived usefulness usually has a stronger influence on new technology adoption (Davis, 1989). Chong (2013b) stressed the opinion that consumers will accept some new technology such as m-commerce only if they find it to be more useful than its alternatives, such as e-commerce....
[...]

Journal Article•DOI•

Perceived usefulness, perceived ease of use, and user acceptance of information technology

[...]

Fred D. Davis¹•Institutions (1)

University of Michigan¹

01 Sep 1989-Management Information Systems Quarterly

TL;DR: In this article, the authors developed and validated new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance.

...read moreread less

Abstract: Valid measurement scales for predicting user acceptance of computers are in short supply. Most subjective measures used in practice are unvalidated, and their relationship to system usage is unknown. The present research develops and validates new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance. Definitions of these two variables were used to develop scale items that were pretested for content validity and then tested for reliability and construct validity in two studies involving a total of 152 users and four application programs. The measures were refined and streamlined, resulting in two six-item scales with reliabilities of .98 for usefulness and .94 for ease of use. The scales exhibited hgih convergent, discriminant, and factorial validity. Perceived usefulness was significnatly correlated with both self-reported current usage r = .63, Study 1) and self-predicted future usage r = .85, Study 2). Perceived ease of use was also significantly correlated with current usage r = .45, Study 1) and future usage r = .59, Study 2). In both studies, usefulness had a signficnatly greater correaltion with usage behavior than did ease of use. Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage. Implications are drawn for future research on user acceptance.

...read moreread less

40,720 citations

Journal Article•DOI•

Multivariate Data Analysis

[...]

Joseph F. Hair

01 Jan 1973

TL;DR: In this paper, a six-step framework for organizing and discussing multivariate data analysis techniques with flowcharts for each is presented, focusing on the use of each technique, rather than its mathematical derivation.

...read moreread less

Abstract: Offers an applications-oriented approach to multivariate data analysis, focusing on the use of each technique, rather than its mathematical derivation. The text introduces a six-step framework for organizing and discussing techniques with flowcharts for each. Well-suited for the non-statistician, this applications-oriented introduction to multivariate analysis focuses on the fundamental concepts that affect the use of specific techniques rather than the mathematical derivation of the technique. Provides an overview of several techniques and approaches that are available to analysts today - e.g., data warehousing and data mining, neural networks and resampling/bootstrapping. Chapters are organized to provide a practical, logical progression of the phases of analysis and to group similar types of techniques applicable to most situations. Table of Contents 1. Introduction. I. PREPARING FOR A MULTIVARIATE ANALYSIS. 2. Examining Your Data. 3. Factor Analysis. II. DEPENDENCE TECHNIQUES. 4. Multiple Regression. 5. Multiple Discriminant Analysis and Logistic Regression. 6. Multivariate Analysis of Variance. 7. Conjoint Analysis. 8. Canonical Correlation Analysis. III. INTERDEPENDENCE TECHNIQUES. 9. Cluster Analysis. 10. Multidimensional Scaling. IV. ADVANCED AND EMERGING TECHNIQUES. 11. Structural Equation Modeling. 12. Emerging Techniques in Multivariate Analysis. Appendix A: Applications of Multivariate Data Analysis. Index.

...read moreread less

37,124 citations

Book•

Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research

[...]

Martin Fishbein, Icek Ajzen

01 Jun 1975

36,032 citations