Embed Size (px)
Citation preview
Association for Information SystemsAIS Electronic Library (AISeL)
PACIS 2014 Proceedings Pacific Asia Conference on Information Systems(PACIS)
2014
TOWARDS THE DEVELOPMENT OF ANINITIAL TRUST MODEL FOR THEADOPTION OF INTERNET BANKINGSERVICES IN JORDANAli AljaafrehFaculty of Engineering and Information Technology, University of Technology,, [email protected]
Asif GillUniversity of Technology Sydney, [email protected]
Ahmed Al AniFaculty of Engineering and Information Technology, University of Technology,, [email protected]
Follow this and additional works at: http://aisel.aisnet.org/pacis2014
This material is brought to you by the Pacific Asia Conference on Information Systems (PACIS) at AIS Electronic Library (AISeL). It has beenaccepted for inclusion in PACIS 2014 Proceedings by an authorized administrator of AIS Electronic Library (AISeL). For more information, pleasecontact [email protected].
Recommended CitationAljaafreh, Ali; Gill, Asif; and Ani, Ahmed Al, "TOWARDS THE DEVELOPMENT OF AN INITIAL TRUST MODEL FOR THEADOPTION OF INTERNET BANKING SERVICES IN JORDAN" (2014). PACIS 2014 Proceedings. 256.http://aisel.aisnet.org/pacis2014/256
TOWARDS THE DEVELOPMENT OF AN INITIAL TRUST
MODEL FOR THE ADOPTION OF INTERNET BANKING SERVICES IN JORDAN
Ali Aljaafreh, Faculty of Engineering and Information Technology, University of Technology,
Sydney, NSW, Australia, [email protected].
Asif Qumer Gill, Faculty of Engineering and Information Technology, University of
Technology, Sydney, NSW, Australia, [email protected].
Ahmed Al Ani, Faculty of Engineering and Information Technology, University of
Technology, Sydney, NSW, Australia, [email protected].
Abstract
Internet banking service (IBS) is transforming the traditional ways of customer banking. Although IBS
is very common in developed countries, however, its adoption by customers in developing countries is still very slow. This may well be due to the lack of customer’s trust in IBS in developing countries.
This paper studies the important issue of customer’s initial trust in IBS in the Jordanian context and
proposes the customer initial trust model. The objective of this model is to understand and analyse the
underlying factors that affect the early stage of trust (i.e. initial customer trust) in IBS, which may, impact customer’s initial intention to use IBS. The proposed model of customer’s initial trust in IBS
integrates constructs from Diffusion of Innovation (DoI) theory, Hofstede culture theory and trust
literature. The distinguishable property of this model is the incorporation of national culture dimensions on initial trust. The proposed model will assist Jordanian banks in understanding the
factors that may impact their customers’ initial trust in IBS.
Keywords: Initial trust, internet banking services, national culture, customer behaviour, Jordan.
1 INTRODUCTION
The history of different communication channels’ adoption in banking services can be traced back to
1980s (Bidgoli 2004); this was when the banks first attempted delivering their services through remote banking services. In the last decade, a number of studies reported the importance of using
internet banking services (IBS) (Dandapani & Curran 2004). This study defines IBS as customer’s
ability to interact with the bank and perform their banking transactions without having them physical
present at the bank branch.
IBS is relatively new in developing countries such as Jordan. The adoption of any new technology
depends on many factors, however; trust is one of the most critical factors in accepting, adopting, or
using any new technology (McKnight et al. 2002b; Gefen et al 2003); and the case of adopting IBS is not any different ( Kim et al. 2009; Susanto et al. 2013; Zhou 2011). Trust is not only important for
IBS, but it is also very important for offline environment (McKnight et al. 1998).
There are a numebr of strudies that discuss the trust issue in IBS adoption in general (Yousafzai et al.
2009). Howevere, there is a lack of studies that investigate customer’s initial trust (the early stage of trust) in IBS in developing countries (Susanto et al. 2013), especially in Jordan (Aljaafreh et al.
2013).This paper fills this gap and studies the customer’s initial trust in IBS and proposes to develop a
comprehensive theoretical-based practical framework to understand and analyse the factors that may impact customer’s initial trust in IBS in the Jordanian context.
More precisely, the paper has twofold: firstly, it focuses on identifying and understanding the factors
that most likely influence customer’s initial trust in IBS in Jordanian context. Secondly, it proposes a comprehensive model representing the identified factors and their relationships to understand and
analyse the customer’s initial trust in IBS in the Jordanian context.
This paper is organised as follows. Section 2 discusses the theoretical background and the literature
review of this study. Section 3 presents the customer’s initial trust model. Section 4 discusses the customer’s initial trust model. Finally, the researchers come up with the conclusion of this study.
2 BACKGROUND AND LITERATURE REVIEW
This section discusses the IBS, initial trust and national culture concepts and related studies for
establishing the background and context for this paper.
2.1 Internet banking services (IBS)
The first usage of IBS was reported in 1996 by Atlanta internet bank in the USA. In early 2000, banks
in Jordan started embracing IBS such as that of Arab Bank and Jordan Kuwait bank. These early adopters in Jordan are deemed to be the pioneers in delivering their services through their IBS
websites (Awamleh et al. 2003). AbuShanab and Person (2007) reported that 16 banks in total offer
the IBS in Jordan. According to the Association Banks of Jordan (ABJ), the number of banks that offer IBS in Jordan has increased from 16 to 20 banks (ABJ 2009). This indicates a gradual increase
in the adoption of IBS by Jordanian banks. However, we also need to look at the IBS adoption from
the customer perspective.
In the third quarter of 2013 (see Figure 1), the Telecommunication Regulation Committee (TRC) of
Jordan published a report indicating that 72% of Jordanians use general Internet (TRC 2013).
Although, the general Internet adoption rate is very high (see figure 1), the results of a survey was
conducted by the Department of Statistics (DOS) in Jordan pointed that the usage of IBS in Jordan was only 1.8% in 2012 (DOS 2012). However, the adoption of IBS from customer perspectives is still
very slow and is an important issue for the Jordan banking industry. This draws our attention to study
and understand the cusotmer trust, especially initial trust in IBS in the overall context of IBS adoption in Jordan.
Figure 1. Internet penetration rate among Jordanian people.
2.2 Initial trust
Initial trust is the early stage of trust, which is formed without any previous information about the
object of interest. Kim & Tadisina (2007) defined initial trust as “a construct that measures trust in the
initial stage of a relationship, in which a customer’s attitude may not have been built up yet, it is considered a prerequisite for initiating a very first or initial interaction between an online customer
and online retailer (Kim 2012). It depends on the following three trust antecedents:
Personality-Based trust: It is defined as the tendency of someone to believe in someone that may
or may not result in trusting them (Mayer et al. 1995; McKnight et al. 1998). It is also known as disposition to trust or propensity to trust (Kim 2012).
Cognition-Based trust: Meyerson et al. (1996) indicated that cognition-based trust represents how
individuals depend upon the first impression or meeting to and from their trust instead of previous
interaction or knowledge.
Institution-Based trust: It has two predictors (McKnight et al. 1998): situational normality and
structural assurance. Baier (1986) defined situational normality as the normality of such a situation makes someone believe that his/her order is in a proper environment and will succeed.
The other predictor, structural assurance was defined as the existence of structures such as
guarantees, regulations, rules, polices, security, legal resources, or other procedures will increase and promote success (McKnight 1998). Institution-Based trust assumes that individual’s initial
trust will increase if s/he perceived that the interaction with the trustee fits a common standard
(Bahmanziari et al. 2008).
Initial trust issue has been discussed in offline environment (Mayer et al. 1995) and online environment (McKnight et al. 2002a, b). This paper focuses on initial trust in IBS as a case from
online environment; and therefore, presents the related studies which had been conducted in
developed and developing countries.
2.2.1 Initial trust in developed countries
In the last fifteen years, the trust factor related to internet or online technology has been investigated
intensively in the field of management information system (MIS). A literature review study was
conducted, which systematically reviewed 21 studies on initial trust (Aljaafreh et al. 2013) and highlighted the combination of trust literature with other technology theories to conceptualise trust
such as the combination of trust literature and technology acceptance model (TAM) (e.g. Koufaris &
Hampton-Sosa 2004), or trust literature and diffusion of innovation theory (DoI) (e.g. Kim et al. 2009).
Most of the previous studies focused on online retailers as the trustee part (e.g. Gefen et al. 2003). Others investigated initial trust with specific systems in mind such as legal advice systems (McKnight
et al. 2002a, b) or National identity system (Li et al. 2008). Kim & Prabhakar (2004) and Kim et al.
(2009) are the only who examined initial trust with IBS and Mobile Banking respectively. In
13.2 13.7 20
26 29 38
50.5 55.9
72
0
10
20
30
40
50
60
70
80
2005 2006 2007 2008 2009 2010 2011 2012 3rd quarter of
2013
developing countries, only one study investigated initial trust effect on IBS intention to use (Susanto
et al. 2013).
2.2.2 Initial trust in developing and Arab countries
Despite the large number of studies investigated initial trust/ trust in developed countries, a few
studies were found in the literature that investigated the trust factor in developing countries (Susanto
et al. 2013). Consequently, a small number of studies were found in developing countries such as that
of Jordan and UAE. For instance: only one study was conducted in Jordan (Abu-Shanab and Al-Azzam 2012), one in Saudi Arabia (AlSaghier 2010), one in Oman (AL-Dwairi and Kamala 2009),
and one in UAE (Azam et al. 2012), all of them examined samples with previous experiences and
none of them investigated initial trust in IBS. In addition to the general concept of initial trust, this study will also investigate the impact of national culture (see section 2.3) on the online trust issue that
has not been thoroughly investigated (Gefen et al. 2003).
2.2.3 Initial trust in banking sector
Although the literature has widely investigated initial trust in online environment, a small number of
studies focused on initial trust within the banking sector. The following table summarises studies focused on initial trust in the banking sector:
Author Antecedents of initial trust Findings
Kim &
Prabhakar (2004)
Propensity to trust.
Structural assurance.
Word of mouth referrals.
Findings showed that propensity to trust, structural
assurance, and word of mouth (relational content) were
significant predictors for initial trust in e-channel.
Initial trust in e-channel has significant relationship
with IBS adoption.
Trust on banks is necessary but condition for IBS
adoption.
Kim et al (2009) Relative benefits.
Propensity to trust.
Structural assurance.
Reputation for the firm.
Relative advantages (benefits), propensity to trust,
structural assurance had significant effect on initial
trust.
Relative advantages and initial trust had significant
effect on person’s intention to use.
There is no significant effect of firm’s reputation on
initial trust or intention to use.
Susanto et al
(2013)
Trust propensity.
Reputation. Perceived security.
Perceived privacy.
Relative benefits.
Website usability.
Governmental support.
Relative advantages, perceived security, website
usability are positively influence initial trust and intention to use.
Perceived privacy, reputation, and government support
are positively influence initial trust only.
Initial trust positively influences intention to use.
Zhou (2011) Trust propensity.
Structural assurance. System quality.
Web site quality.
Results revealed that initial trust positively affected by
structural assurance and information quality.
Perceived usefulness positively affected by initial
trust, system quality, and information quality.
Both of initial trust and usefulness predict usage
intention.
Table 1. Studies investigated initial trust in banking sector.
Firstly, it can be observed from Table 1, that all studies shared the investigation of propensity to trust
and structural assurance (perceived security and privacy) as major antecedents of initial trust.
Secondly, propensity to trust positively affects initial trust for users with no previous experiences in using IBS. Structural assurance, on the other hand, affects initial trust for all users. Thirdly, the
relative benefits (advantages) from Diffusion of Innovation DoI theory is always found as a predictor
of initial trust in IBS (Kim & Prabhakar 2004; Susanto et al. 2013) or in mobile banking (Kim et al.
2009). Fourthly, factors from Human Computer Interaction theory (system quality, web site quality, and website usability) were investigated as antecedents of trust. Finally, only one study investigated a
factor from the social theory (word of mouth), this factor was found as significant predictor for initial
trust.
2.3 National culture
The concept of culture does not have a single and an agreed definition like many others concepts.
Hofstede defined it as “the collective programming of the mind which distinguishes the members in one human group from another” (Hofstede 1997, p.21).
In the field of MIS, Hofstede culture theory is the most widely used culture theory and the first cross-
cultural study (Leidner and Kayworth 2006). The existence of this study alone on the scene of cross-cultural field gives it the precession to be used and adopted in future studies. Moreover, the results of
Hofstede study were created based upon empirical data from huge sample size of 116000 respondents
(Adler 1997). Finally, McCoy et al (2007) pointed that Hofstede’s theory is the most used in national
culture research. Also, they noticed that Hofstede’s dimensions are used from those who did not hold with them.
In the literature, culture is viewed as an important area of interest in many research fields (Susanto et
al. 2013). In trust building process, Gefen et al. (2003) examined trust building process in two different cultures (U.S and Israel) and found that culture has significant effect on intention to trust.
Gefen’s et al. (2003) study was the only one in the literature which investigated the effect of
Hofsted’s cultural dimensions on trust, because of cultural indexes differences (Power distance and Uncertainty Avoidance are high in Arab countries, however; individualism and masculinity are high
in American culture) between developing countries and Arab countries (Hofstede 1997). This study
will examine the effect of Hofstede’s dimensions on initial trust in IBS in Jordanian context as one of
Arab countries.
The impact of Arab culture on IT/IS was examined in a number of studies (e.g. Al-Gahtani 2004). In
the Jordanian context, national culture was examined as an external variable of the Technology
Acceptance Model (TAM) in accepting IBS (Al-Sukkar and Hasan 2005) or adopting e-Government (Alhujran 2009). However, the relationship between national culture and initial trust has never been
investigated. Therefore, the complex culture system in Arab countries and the lack of studies in this
important area demand the inclusion and study of national culture impact on customer’s initial trust in IBS in Jordanian context.
3 THE CUSTOMER’S INITIAL TRUST MODEL
Based on initial studies, a customer initial trust model has been developed. This model extends
previous models; and it can be used for studying initial trust in IBS, which may ultimately lead to the
intention to use IBS. This model has been developed based on the existing models that examined initial trust in internet banking (Kim & Prabhakar 2004; Susanto et al. 2013) and mobile banking
(Kim et al. 2009). The key elements of the proposed model based by from the existing models are
disposition to trust, organizational structural assurance, organisational situational normality, reputation, relative advantage, technical structural assurance, security, and privacy. Moreover, it
includes new elements such as the national culture dimensions, the compatibility of the service, and
computer and internet self efficacy. The proposed model elements and their relationships are shown in
figure 2.
All antecedents are categorized in human related factors and technological related factors. Human
related factors defined as “any factor affects human decision either it relates to him/ herself or from
the surrounded human structured environment” (Aljaafreh et al. 2013). Human related category includes: disposition to trust, institution based trust, reputation, national culture, compatibility, and
relative advantages. On the other hand, the other category named “information technology category”
which includes factors related to information technology (technical structural assurance, security,
privacy, and computer and internet self efficacy).
Figure 2. Customer’s initial trust model
The following sections define the main categories, the factors within categories, and explain the
relationships between these constructs.
3.1 Initial trust
Initial trust is operationalised as the status quo in which consumers trusted an unfamiliar e-vendor
(McKnight et al. 2002b). Previous studies found that consumer’s initial trust significantly influence
customer’s intention to deal with unknown e-vendor (Gefen et al. 2003), intention to adopt IBS (Kim & Prabhakar 2004; Susanto et al. (2013), and to adopt mobile banking (Kim et al. 2009). In one hand,
the result of customer’s initial trust is intention to use IBS in Jordanian context. In the other hand,
customer’s initial trust will be impacted by many factors which are categorised within two categories: human related factors and technological related factors.
3.2 Human related
Human related category includes three groups which are trust antecedents which includes four factors:
Disposition to trust, Organizational structural assurance, Organisational situational normality, and
Reputation, diffusion of innovation theory factors includes relative advantages and compatibility, and
national culture factors which include power distance, uncertainty avoidance, individualism vs. collectivism, masculinity vs. femininity, long-term vs. short-term orientation. These factors are
explained in detail in the following paragraphs.
Disposition to trust (propensity to trust) which is defined as a propensity or tendency to believe in the positive attributes of others in general (McKnight et al. 2002b). Although disposition to trust is
considered as an important antecedent and one of the trust base, empirical studies’ results varied
regarding its significance. For instance, Susanto et al. (2013) and Li et al. (2008) found that there is no
significant impact of disposition to trust on initial trust, yet; the majority of the studies agreed upon
that disposition to trust play a significant role in forming initial trust.
Organizational structural assurance: this factor is defined by Lin et al. (2008, p.47) as safeguards such
as promises, contracts, regulations, and guarantees are in place of the transaction. Doney & Cannon
1997) argued that structural assurance in organisation plays significant role in building customer’s
trust. Structural assurance create safe and secure environment which in turn direct customer’s feeling to believe that the other party (i.e. bank) has not any intention to behave defectively. Moreover, Li et
al. (2006, 2008) and Yousafzai et al. (2009) found that organisational structural assurance affect
significantly customer’s initial trust.
Organisational situational normality: it is defined as the belief that success is likely because the
situation is normal (Li et al. 2008). It has been reported that organizational situational normality has
had significant positive relationship with trusting beliefs.
Reputation: it is defined as the extent to which buyers (customers) believe that the selling organization
(banks) is honest and concerned about its customers (Doney and Cannon 1997). Reputation is
included in the proposed model because it has been reported as of the significant factors that influence
initial trust formation (McKnight et al. 2002a; Li et al. 2008; Yousafzai et al. 2009; Eastlick & Lotz 2011; Susanto et al. 2013).
The second group of the proposed model contains factors from diffusion of Innovation theory (DoI).
Originally, DoI contains five characteristics: relative advantages, compatibility, complexity, triability, and observability. In prior adoption research, Tornatzky and Klein (1982) confirmed that relative
advantages, compatibility, and complexity have been found significant in this type of study. However,
this study will examine relative advantages and compatibility only. The complexity of the innovation is omitted because of the context characteristics (i.e. the people had never used IBS so they didn’t
know its level of complexity).
Rogers (1995) defined relative advantages as those advantages that the new services offer rather than
the existing service has: economic benefits, enhanced personal image, convenience and satisfaction. Significant and positive impact has been found for relative advantages on initial trust (Kim et al. 2009;
Susanto et al. 2013). The second factor is compatibility. It defined as “The degree to which an
innovation is perceived as consistent with the existing values, past experiences, and needs of potential adopters” (Rogers 1995, p.15). Compatibility was found as a significant factor which reduces the level
of risk perception and enhances customer’s trust in 3G mobile banking services (Lee et al. 2003 Cited
in Lin 2011).
Finally, the third group of human related category is national culture. Hofstede (1997) identified five cultural dimensions which are:
Power Distance Index (PDI): the extent to which the less powerful members of group or society
accept and expect that power is unequally distributed.
Uncertainty Avoidance Index (UAI): the extent to which the members of group or society feel
threatened by unknown situations.
Individualism vs. Collectivism (IDV): the extent to which individuals are integrated into groups.
Masculinity vs. Femininity (MAS): the extent to which gender roles are assigned in a culture.
Long-Term vs. Short-Term Orientation (LTO): a society’s preference to be more forward looking
or future oriented.
Gefen & Heart (2006) reported the impact of national culture on trust attitudes and their outcomes in
e-Commerce. In addition, An & Kim (2008) found that online trust is affected by its interactions with the cultural norms. Furthermore, Doney et al. (1998) stated that culture has significant influence on
essential base of trust. The proposed model included the impact of national culture on the initial trust
which has not been examined in the context of developing countries such as Jordan.
3.3 Technological related
We define this category as the factors which directly related to information technology itself. This category contains four factors: technical structural assurance, internet and computer self efficacy,
perceived security, perceived privacy. The following paragraph details these factors.
Technical structural assurance: This factor is defined as “The belief that the web has protective
legal or technological structures that assure that web business can be conducted in a safe and secure manner” (McKnight et al. 2002b, p. 304). Many researchers examined online structural
assurance and its importance in forming initial trust (Li et al. 2008; McKnight et al. 2002a, b; Kim
and Prabhakar 2004; Kim et al. 2009; Gefen et al. 2003).
Internet and computer self efficacy: Compeau and Higgings (1995, p.191) defined it as “an
individual’s perception of his or her ability to use computer (and internet) in the accomplishment
of a task”. This factor was investigated in empirical studies which focused on adopting new
innovations (e.g. Alomari et al. 2012). In the context of trust, researchers found that familiarity of
the online environment positively affect initial trust of such eServices (Alsaghier 2010; Eastlick and Lotz 2011; Li et al. 2008).
Perceived security: for the purpose of this study, security is the level in which the users feel that
their information on the internet is secure. Many researchers focused on the security of the online
environment as an important factor for adopting the new IS/IT (Lee 2009; Zhou 2011). Also, security in trust context play vital role in building trust or initial trust (e.g. Chen & Barnes 2007).
Perceived privacy: In this study, privacy is defined as the level in which users feel that their
information on the internet is private. Privacy was found as one of the important factors that
significantly influence customer’s trust in IBS (Yousafzai et al. 2009; Susanto et al. 2013).
4 DISCUSSION
This paper introduced the initial trust model in the context of IBS adoption in developing countries. This model provides a set of important trust factors and their relationships. This model builds on the
analysis of existing models and theories; and addresses their short comings. Most of the factors of the
proposed model are distilled from the related models and theories published in the public domain.
However, customer’s initial trust model is distinguished from existing model in many ways: firstly, it
discusses the initial trust model in the specific context of developing countries, which has not been
studied before. Secondly, the proposed model includes the additional and most important factor of national culture, which is highly relevant to the subject and scope of the studies presented in the paper.
Our initial study indicated the detailed analysis of the national culture impact on the customer’s initial
trust.
The proposed model has both research and practical implications. The model is intended to fill the research knowledge gap due to lack of studies in the context of online trust in developed countries,
especially Arab countries. Further, the proposed model is intended to be empirically examined in
Jordan and the results will be used by local banks to understand the customer’s motivations to trust IBS and introduce necessary changes to motivate and enhance their customers’ trust in IBS.
Finally, the scope of this study is limited to developing conutries – especially Jordan. Howevevr, we
have full confidence that results from this study can be further enhanced and generalise to different
other context.
5 CONCLUSION
This paper presented an initial trust model in context of IBS adoption by customers in developing
countries such as Jordan. This study analyses and integrates factors and theories from three major
disciplines: (1) psychology (trust theory including disposition to trust, organisational structural assurance, organisational situational normality, and reputation), (2) social science (Hofstede’s culture
theory including power distance, uncertainty avoidance, individualism, masculinity, and long term
orientation), and (3) information technology (diffusion of innovation theory including relative
advantages and compatibility, other technical factors: technological structural assurance, internet and
computer self efficacy, perceived security, and perceived privacy). This new model offers a number of new insights related to customer initial trust in the context of developing countries such as national
culture. This study is an attempt to fill the research gap due to lack of initial trust studies in the
developing countries context. This model can be used by both researchers and practitioners to study
and analyse the initial customer trust in IBS; and make recommendations to enhance the customer trust in IBS usage in developing countries. This model will be further evaluated and updated if
necessary; and the research results will be reported as an on-going contribution to both research and
industry.
6 REFERENCES
ABJ (2009). Jordanian Banks, Association Banks in Jordan, Amman, viewed 20 Jan 2014,
<http://www.abj.org.jo>.
Abu-Shanab, E., & Al-Azzam, A. (2012). Trust Dimensions and The Adoption of E-Government in
Jordan. International Journal of Information Communication Technologies and Human Development (IJICTHD), 4(1), 39-51.
AbuShanab, E., & Pearson, J. (2007). Internet banking in Jordan: The unified theory of acceptance
and use of technology (UTAUT) perspective. Journal of Systems and Information Technology, 9(1), 78-97.
Adler, N. J., & Gundersen, A. (2007). International dimensions of organizational behavior: Cengage
Learning. Al Sukkar, A., & Hasan, H. (2005). Toward a model for the acceptance of internet banking in
developing countries. Information Technology for Development, 11(4), 381-398.
Al-Dwairi, R. M., & Kamala, M. A. (2009). An Integrated Trust Model for Business-to-Consumer
(B2C) E-commerce: Integrating Trust with the Technology Acceptance Model. Paper presented at the CyberWorlds, 2009. CW'09. International Conference on.
Al-Gahtani, S. S. (2004). Computer technology acceptance success factors in Saudi Arabia: an
exploratory study. Journal of Global Information Technology Management, 7(1), 5-29. Alhujran, O. (2009). Determinations of e-government services adoption in developing countries:A
field survey and a case study. PhD thesis, University of Wollongong, Australia.
Al-Jaafreh, A., Gill, A., Al-Ani, A. & Al-adaileh, R. 2013, 'Factors Influencing Customer’s Initial Trust of Internet Banking Services in the Jordanian Context: A Review', 22nd International
Business Information Management Association, IBIMA, pp. 281-88.
Alomari, M., Woods, P. & Sandhu, K. 2012, 'Predictors for e-government adoption in Jordan:
Deployment of an empirical evaluation based on a citizen-centric approach', Information Technology & People, vol. 25, no. 2, pp. 207-34.
Alsaghier, H. 2010, 'An Investigation of Critical Factors Affecting Citizen Trust in E-Government:
Empirical Evidence from Saudi Arabia.', PhD thesis, Australia. An, D., & Kim, S. (2008). Effects of National Culture on the Development of Consumer Trust in
Online Shopping.
Awamleh, R., Evans, J. and Mahate, A. (2003). Internet Banking in Emergency Markets: The Case of
Jordan – a note. 8(1). Retrieved from http://www.arraydev.com/commerce/JIBC/0306-03.htm Azam, A., Qiang, F., & Abdullah, M. I. (2012). Consumers' E-commerce Acceptance Model:
Antecedents of Trust and Satisfaction Constructs. Paper presented at the Business Engineering and
Industrial Applications Colloquium (BEIAC), 2012 IEEE. Bahmanziari, T., Odom, M. D., & Ugrin, J. C. (2009). An experimental evaluation of the effects of
internal and external e-Assurance on initial trust formation in B2C e-commerce. International
Journal of Accounting Information Systems, 10(3), 152-170. Baier, A. (1986). Trust and Antitrust. Ethics, 96(2), 231-260.
Bidgoli, H. (2004). The internet encyclopedia. New York: John Wiley and Sons.
Chen, Y.-H., and Barnes, S. (2007). Initial Trust and Online Buyer Behaviour, Industrial Management
& Data Systems, 107(1), 21-36. Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and
initial test. MIs Quarterly, 19(2).
Dandapani, S., & Curran, D. P. (2004). Separation Friendly Mitsunobu Reactions: A Microcosm of
Recent Developments in Separation Strategies. Chemistry-A European Journal, 10(13), 3130-3138.
Doney, P. M., Cannon, J. P., & Mullen, M. R. (1998). Understanding the Influence of National
Culture on the Development of Trust. Academy of Management review, 601-620.
DOS (2012), Survey the use of information technology within homes 2012 analytical report, Department of Statistics, Jordan.
Eastlick, M. A., & Lotz, S. (2011). Cognitive and Institutional Predictors of Initial Trust Toward an
Online Retailer. International Journal of Retail & Distribution Management, 39(4), 234-255. Gefen, D., & Heart, T. H. (2006). On the Need to Include National Culture as a Central Issue in E-
commerce Trust Beliefs. Journal of Global Information Management (JGIM), 14(4), 1-30.
Gefen, D., & Straub, D. W. (2003). Managing User Trust in B2C E-services. E-service Journal, 2(2), 7-24.
Hofstede, G. (1997). Cultures and organizations: software of the mind. New York: McGraw-Hill.
Kim, E., & Tadisina, S. (2007). A model of customers' trust in e-businesses: micro-level inter-party
trust formation. Journal of Computer Information Systems, 48(1), 88-104. Kim, G., Shin, B., & Lee, H. G. (2009). Understanding Dynamics Between Initial Trust and Usage
Intentions of Mobile Banking. Information Systems Journal, 19(3), 283-311.
Kim, J. B. (2012). An Empirical Study on Consumer First Purchase Intention in Online Shopping: Integrating Initial Trust and TAM. Electronic Commerce Research, 12(2), 125-150.
Kim, K. K., & Prabhakar, B. (2004). Initial Trust and the Adoption of B2C E-Commerce: The Case of
Internet Banking. ACM sigmis database, 35(2), 50-64. Koufaris, M., & Hampton-Sosa, W. (2004). The Development of Initial Trust in an Online Company
by New Customers. Information & Management, 41(3), 377-397.
Lee, K. C., & Chung, N. (2009). Understanding factors affecting trust in and satisfaction with mobile
banking in Korea: A modified DeLone and McLean’s model perspective. Interacting with computers, 21(5), 385-392.
Leidner, D. E., & Kayworth, T. (2006). Review: A Review of Culture in Information Systems
Research: Toward a Theory of Information Technology Culture Conflict. MIS quarterly, 30(2), 357-399.
Li, X., Hess, T. J., & Valacich, J. S. (2008). Why Do We Trust New Technology? A Study of Initial
Trust Formation with Organizational Information Systems. The Journal of Strategic Information
Systems, 17(1), 39-71. Lin, J., Lu, Y., Wang, B., & Wu, S. (2011). Initial Trust and Adoption of Mobile Brokerage Service.
International Journal of Mobile Communications, 9(2), 124-143.
Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995). An integrative model of organizational trust. Academy of management review, 20(3), 709-734.
McCoy, S., Galletta, D. F., & King, W. R. (2007). Applying TAM across cultures: the need for
caution. European Journal of Information Systems, 16(1), 81-90. McKnight, D. H., Cummings, L. L., & Chervany, N. L. (1998). Initial Trust Formation in New
Organizational Relationships. Academy of Management review, 473-490.
McKnight, H., Choudhury, V., & Kacmar, C. (2002a). Developing and Validating Trust Measures for
E-Commerce: An Integrative Typology. Information systems research, 13(3), 334-359. McKnight, H., Choudhury, V., & Kacmar, C. (2002b). The Impact of Initial Consumer Trust on
Intentions to Transact with a Web Site: a Trust Building Model. The Journal of Strategic
Information Systems, 11(3), 297-323. Meyerson, D., Weick, K. E., & Kramer, R. M. (1996). Swift trust and temporary groups. Trust in
Organizations: Frontiers of Theory and Research, 166, 195.
MoICT (2011), Annual report for performance and acheivements, Ministry of Information and Communications Technology, Jordan.
Rogers, E.M. 1995, Diffusion of innovations, Free press, New York.
Susanto, A., Lee, H., Zo, H., & Ciganek, A. P. (2013). User Acceptance of Internet Banking in
Indonesia: Initial Trust Formation. Information Development, 1-14.
Tornatzky, L. G., & Klein, K. J. (1982). Innovation characteristics and innovation adoption-
implementation: A meta-analysis of findings. Engineering Management, IEEE Transactions on(1), 28-45.
TRC. (2013). Quarterly indicator. Retrieved 30 November 2013, from
http://www.trc.gov.jo/index.php?option=com_content&task=view&id=2599&Itemid=508&lang=e
nglish&lang=english&lang=english Yousafzai, S., Pallister, J., & Foxall, G. (2009). Multi-Dimensional Role of Trust in Internet Banking
Adoption. The Service Industries Journal, 29(5), 591-605.
Zhou, T. (2011). An Empirical Examination of Initial Trust in Mobile Banking. Internet Research, 21(5), 527-540.
