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Book part
Publication date: 10 December 2015

Chun Kit Lok

Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption

Abstract

Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption behavior of E-payment systems that employ smart card technology becomes a research area that is of particular value and interest to both IS researchers and professionals. However, research interest focuses mostly on why a smart card-based E-payment system results in a failure or how the system could have grown into a success. This signals the fact that researchers have not had much opportunity to critically review a smart card-based E-payment system that has gained wide support and overcome the hurdle of critical mass adoption. The Octopus in Hong Kong has provided a rare opportunity for investigating smart card-based E-payment system because of its unprecedented success. This research seeks to thoroughly analyze the Octopus from technology adoption behavior perspectives.

Cultural impacts on adoption behavior are one of the key areas that this research posits to investigate. Since the present research is conducted in Hong Kong where a majority of population is Chinese ethnicity and yet is westernized in a number of aspects, assuming that users in Hong Kong are characterized by eastern or western culture is less useful. Explicit cultural characteristics at individual level are tapped into here instead of applying generalization of cultural beliefs to users to more accurately reflect cultural bias. In this vein, the technology acceptance model (TAM) is adapted, extended, and tested for its applicability cross-culturally in Hong Kong on the Octopus. Four cultural dimensions developed by Hofstede are included in this study, namely uncertainty avoidance, masculinity, individualism, and Confucian Dynamism (long-term orientation), to explore their influence on usage behavior through the mediation of perceived usefulness.

TAM is also integrated with the innovation diffusion theory (IDT) to borrow two constructs in relation to innovative characteristics, namely relative advantage and compatibility, in order to enhance the explanatory power of the proposed research model. Besides, the normative accountability of the research model is strengthened by embracing two social influences, namely subjective norm and image. As the last antecedent to perceived usefulness, prior experience serves to bring in the time variation factor to allow level of prior experience to exert both direct and moderating effects on perceived usefulness.

The resulting research model is analyzed by partial least squares (PLS)-based Structural Equation Modeling (SEM) approach. The research findings reveal that all cultural dimensions demonstrate direct effect on perceived usefulness though the influence of uncertainty avoidance is found marginally significant. Other constructs on innovative characteristics and social influences are validated to be significant as hypothesized. Prior experience does indeed significantly moderate the two influences that perceived usefulness receives from relative advantage and compatibility, respectively. The research model has demonstrated convincing explanatory power and so may be employed for further studies in other contexts. In particular, cultural effects play a key role in contributing to the uniqueness of the model, enabling it to be an effective tool to help critically understand increasingly internationalized IS system development and implementation efforts. This research also suggests several practical implications in view of the findings that could better inform managerial decisions for designing, implementing, or promoting smart card-based E-payment system.

Details

E-services Adoption: Processes by Firms in Developing Nations
Type: Book
ISBN: 978-1-78560-709-7

Keywords

Book part
Publication date: 4 December 2020

Abdelkebir Sahid, Yassine Maleh and Mustapha Belaissaoui

Since 2007, the cloud computing term had been introduced to the information technology (IT) dictionary. The theme is attracting growing interest from both the IT world and…

Abstract

Since 2007, the cloud computing term had been introduced to the information technology (IT) dictionary. The theme is attracting growing interest from both the IT world and the business players, who need to enhance information systems agility, reduced costs, or even less dependence on internal IT teams when they are judged too slow. However, the fact that cloud computing, as presented by providers, increases the agility, is unclear. Business Managers; IT professional, and academics are querying about relationship between cloud computing and IT agility. This chapter aims to answer two major concerns: Factors that influence cloud computing adoption in medium and large organizations, and the cloud computing role to improve the agility of information systems. This chapter argues that cloud computing impacts Information System (IS) performance by organizational capabilities (agility). One of the primary motivations of this chapter is the lack of fieldwork when considering how cloud computing improves the information systems’ agility.

Details

Strategic Information System Agility: From Theory to Practices
Type: Book
ISBN: 978-1-80043-811-8

Book part
Publication date: 10 December 2015

Dekar Urumsah

The concept and practice of e-services has become essential in business transactions. Yet there are still many organizations that have not developed e-services optimally…

Abstract

The concept and practice of e-services has become essential in business transactions. Yet there are still many organizations that have not developed e-services optimally. This is especially relevant in the context of Indonesian Airline companies. Therefore, many airline customers in Indonesia are still in doubt about it, or even do not use it. To fill this gap, this study attempts to develop a model for e-services adoption and empirically examines the factors influencing the airlines customers in Indonesia in using e-services offered by the Indonesian airline companies. Taking six Indonesian airline companies as a case example, the study investigated the antecedents of e-services usage of Indonesian airlines. This study further examined the impacts of motivation on customers in using e-services in the Indonesian context. Another important aim of this study was to investigate how ages, experiences and geographical areas moderate effects of e-services usage.

The study adopts a positivist research paradigm with a two-phase sequential mixed method design involving qualitative and quantitative approaches. An initial research model was first developed based on an extensive literature review, by combining acceptance and use of information technology theories, expectancy theory and the inter-organizational system motivation models. A qualitative field study via semi-structured interviews was then conducted to explore the present state among 15 respondents. The results of the interviews were analysed using content analysis yielding the final model of e-services usage. Eighteen antecedent factors hypotheses and three moderating factors hypotheses and 52-item questionnaire were developed. A focus group discussion of five respondents and a pilot study of 59 respondents resulted in final version of the questionnaire.

In the second phase, the main survey was conducted nationally to collect the research data among Indonesian airline customers who had already used Indonesian airline e-services. A total of 819 valid questionnaires were obtained. The data was then analysed using a partial least square (PLS) based structural equation modelling (SEM) technique to produce the contributions of links in the e-services model (22% of all the variances in e-services usage, 37.8% in intention to use, 46.6% in motivation, 39.2% in outcome expectancy, and 37.7% in effort expectancy). Meanwhile, path coefficients and t-values demonstrated various different influences of antecedent factors towards e-services usage. Additionally, a multi-group analysis based on PLS is employed with mixed results. In the final findings, 14 hypotheses were supported and 7 hypotheses were not supported.

The major findings of this study have confirmed that motivation has the strongest contribution in e-services usage. In addition, motivation affects e-services usage both directly and indirectly through intention-to-use. This study provides contributions to the existing knowledge of e-services models, and practical applications of IT usage. Most importantly, an understanding of antecedents of e-services adoption will provide guidelines for stakeholders in developing better e-services and strategies in order to promote and encourage more customers to use e-services. Finally, the accomplishment of this study can be expanded through possible adaptations in other industries and other geographical contexts.

Details

E-services Adoption: Processes by Firms in Developing Nations
Type: Book
ISBN: 978-1-78560-709-7

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Book part
Publication date: 1 July 2015

Mohamed Kadria and Mohamed Safouane Ben Aissa

This chapter attempts to analyze mainly the interactions between the implementation of inflation targeting (IT) policy and performance in the conduct of economic policies…

Abstract

This chapter attempts to analyze mainly the interactions between the implementation of inflation targeting (IT) policy and performance in the conduct of economic policies (fiscal and exchange rate) in emerging countries. More precisely, empirical studies conducted in this chapter aim to apprehend the feedback effect of this strategy of monetary policy on the budget deficit and volatility of exchange rate performance. This said, we consider the institutional framework as endogenous to IT and analyze the response of authorities to the adoption of this monetary regime. To do this, the retained methodological path in this chapter is an empirical way, based on the econometrics of panel data. First, our contribution to the existing literature is to evaluate the time-varying treatment effect of IT’s adoption on the budget deficit of emerging inflation targeters, using the propensity score matching approach. Our empirical analysis, conducted on a sample of 34 economies (13 IT and 21 non-IT economies) for the period from 1990 to 2010, show a significant impact of IT on the reduction of budget deficit in emerging countries having adopted this monetary policy framework. Therefore, we can say that the emerging government can benefit ex post and gradually from a decline in their public deficits. Retaining the same econometric approach and sample, we tried secondly to empirically examine whether the adoption of IT in emerging inflation targeters has been effectively translated by an increase in the nominal effective exchange rate volatility compared to non-IT countries. Our results show that this effect is decreasing and that this volatility is becoming less important after the shift to this monetary regime. We might suggest that this indirect and occasional intervention in the foreign exchange market can be made by fear of inflation rather than by fear of floating hence in most emerging countries that have adopted the IT strategy. Finally, we can say that our conclusions corroborate the literature of disciplining effects of IT regime on fiscal policy performance as well as the two controversial effects of IT on the nominal effective exchange rate volatility.

Details

Monetary Policy in the Context of the Financial Crisis: New Challenges and Lessons
Type: Book
ISBN: 978-1-78441-779-6

Keywords

Article
Publication date: 17 August 2020

Rajasshrie Pillai and Brijesh Sivathanu

Human resource managers are adopting AI technology for conducting various tasks of human resource management, starting from manpower planning till employee exit. AI…

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Abstract

Purpose

Human resource managers are adopting AI technology for conducting various tasks of human resource management, starting from manpower planning till employee exit. AI technology is prominently used for talent acquisition in organizations. This research investigates the adoption of AI technology for talent acquisition.

Design/methodology/approach

This study employs Technology-Organization-Environment (TOE) and Task-Technology-Fit (TTF) framework and proposes a model to explore the adoption of AI technology for talent acquisition. The survey was conducted among the 562 human resource managers and talent acquisition managers with a structured questionnaire. The analysis of data was completed using PLS-SEM.

Findings

This research reveals that cost-effectiveness, relative advantage, top management support, HR readiness, competitive pressure and support from AI vendors positively affect AI technology adoption for talent acquisition. Security and privacy issues negatively influence the adoption of AI technology. It is found that task and technology characteristics influence the task technology fit of AI technology for talent acquisition. Adoption and task technology fit of AI technology influence the actual usage of AI technology for talent acquisition. It is revealed that stickiness to traditional talent acquisition methods negatively moderates the association between adoption and actual usage of AI technology for talent acquisition. The proposed model was empirically validated and revealed the predictors of adoption and actual usage of AI technology for talent acquisition.

Practical implications

This paper provides the predictors of the adoption of AI technology for talent acquisition, which is emerging extensively in the human resource domain. It provides vital insights to the human resource managers to benchmark AI technology required for talent acquisition. Marketers can develop their marketing plan considering the factors of adoption. It would help designers to understand the factors of adoption and design the AI technology algorithms and applications for talent acquisition. It contributes to advance the literature of technology adoption by interweaving it with the human resource domain literature on talent acquisition.

Originality/value

This research uniquely validates the model for the adoption of AI technology for talent acquisition using the TOE and TTF framework. It reveals the factors influencing the adoption and actual usage of AI technology for talent acquisition.

Details

Benchmarking: An International Journal, vol. 27 no. 9
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 30 June 2014

Rania Mohamed Samir Hussein and Maha Mourad

This paper aims to examine the factors that affect the adoption of technological innovations in a service industry, like the higher education industry. Specifically, the…

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Abstract

Purpose

This paper aims to examine the factors that affect the adoption of technological innovations in a service industry, like the higher education industry. Specifically, the use of Web-based technology (WEBCT/blackboard) by faculty and administrators in universities in Egypt in the delivery of educational material and communication with students and peers is the focus of this study.

Design/methodology/approach

A distinctive business-to-business (B2B) model is developed drawing on Rogers’ innovation adoption model, the resource-based view of the firm, as well as theoretical and empirical foundations in previous innovation adoption literature. The model is testified drawing on the results of empirical work in the form of a large survey conducted on 200 faculty and administrators in two different universities in Egypt. Structural equation modeling is used to test the research model.

Findings

In addition to the attributes of the innovation, all university-based factors as well as one service provider factor, namely, need for interaction, were identified to have a significant influence on the adoption of technological innovations in the higher education industry.

Originality/value

This paper attempts to enhance current understanding of the adoption of innovations in an important industry like the higher education industry. Empirical results shed light on influential factors when adopting technological innovations by faculty and administrators in the higher education industry. This is the first empirical study of this type to be conducted in the Middle East.

Details

Journal of Business & Industrial Marketing, vol. 29 no. 6
Type: Research Article
ISSN: 0885-8624

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Article
Publication date: 1 February 2004

Dawn M. Russell and Anne M. Hoag

Understanding people and how they factor into complex information technology (IT) implementations is critical to reversing the growing trend of costly IT implementation…

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Abstract

Understanding people and how they factor into complex information technology (IT) implementations is critical to reversing the growing trend of costly IT implementation failures. Accordingly, this article presents an approach to dissecting the social and organizational influences impacting peoples’ acceptance of technology designed to improve business performance. This article applies the diffusion of innovation theoretical framework to understand and analyze IT innovation implementation challenges. The diffusion approach is applied to two recent cases of implementations of IT supply chain innovations at two aerospace firms, both with complex, global, inter‐firm supply chains. Results indicate that several social and organizational factors do affect the implementation's success. Those factors include users’ perceptions of the innovation, the firm's culture, the types of communication channels used to diffuse knowledge of the innovation and various leadership factors.

Details

International Journal of Physical Distribution & Logistics Management, vol. 34 no. 2
Type: Research Article
ISSN: 0960-0035

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Article
Publication date: 10 April 2017

Surabhi Verma and Som Sekhar Bhattacharyya

The purpose of this paper is to provide an insight about factors affecting Big Data Analytics (BDA) utilization and adoption in Indian firms. Research studies have so far…

2848

Abstract

Purpose

The purpose of this paper is to provide an insight about factors affecting Big Data Analytics (BDA) utilization and adoption in Indian firms. Research studies have so far focused on BDA adoption in developed economies. This study examines the factors that influence BDA usage and adoption in the context of emerging economies.

Design/methodology/approach

This study proposed a theoretical model of factors influencing BDA utilization and adoption. Two independent research streams – first, the top managers’ perceived strategic value (PSV) in BDA and second, the factors that influence the adoption of BDA theoretically – have been integrated with the technology-organization-environment (TOE) framework. In the BDA context, there was a theoretical necessity to identify the driver and barriers of BDA from the TOE framework on PSV and adoption of BDA. A qualitative exploratory study using face-to-face semi-structured interviews was carried out to collect data from 22 different enterprises and service providers in India. India was selected as the context as it is one of the fastest growing large economies of the world with huge potential of BDA to improve the business landscape.

Findings

The results showed that the major reason behind BDA non-adoption is that the organizations did not realize the strategic value (SV) of BDA, and they were not ready to make the changes because of technological, organizational and environmental difficulties. The findings corroborate previous results about significant factors affecting IT adoption and implementation and provide new and interesting insights. The main factors identified as playing a significant role in organizations’ adoption of BDA were SV of BDA, complexity, compatibility, IT assets, top management support, organization data environment, perceived costs, external pressure and industry type.

Research limitations/implications

The main limitation related to this study is the difficulty in generalizing the findings to a larger population of enterprises. To overcome this, a statistical survey has been planned to be conducted in the future.

Practical implications

The BDA adoption model in this study will have both managerial implications for practitioners in India, as well as those in other developing countries, and academic implications for researchers who are interested in BDA adoption in developing counties, in terms of formulating better strategies for BDA adoption. For managers, using the research model of this study could assist in increasing their understanding of why some organizations choose to adopt BDA, while similar ones facing similar conditions do not. Also, the understanding of the strategic utilization of BDA in different business processes may improve the adoption of BDA in organizations.

Originality/value

This paper contributes in exploring and enhancing the understanding of the factors affecting the utilization and adoption of BDA in organizations from an Indian perspective. This study is an attempt to develop and explore a BDA adoption model by the fusion of PSV and TOE framework. The effect of the three contexts of this framework (technological, organizational and environmental) on the strategic utilization of BDA has been studied for the first time.

Details

Journal of Enterprise Information Management, vol. 30 no. 3
Type: Research Article
ISSN: 1741-0398

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Article
Publication date: 28 October 2013

ThuyUyen H. Nguyen and Teresa S. Waring

The aim of this paper is to use an innovation decision process to examine CRM technology adoption in small to medium-sized enterprises and its intrinsic link to the nature…

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Abstract

Purpose

The aim of this paper is to use an innovation decision process to examine CRM technology adoption in small to medium-sized enterprises and its intrinsic link to the nature of the organisation and the individuals within it.

Design/methodology/approach

A survey was administered to SMEs in Southern California to measure the organisational characteristics, specifically management characteristics, employee characteristics, IT resources and firm characteristics. The perception of CRM, decision to adopt CRM, and extent of CRM implementation were also measured. Previously validated instruments were used where required. The data were analysed using multivariate and logistic regression.

Findings

The results indicate that management's innovativeness affects the firm's perception of CRM systems, but age, education and gender do not. The decision to implement a CRM system is influenced by management's perception of CRM, employee involvement, the firm's size, its perceived market position, but not the industry sector. However, the number and types of CRM features implemented are affected by management's perception of CRM, employee involvement, the firm's size, the industry sector, but not its perceived market position.

Research limitations/implications

This study is specific to Southern California and the sample size is relatively small, although sufficient for this analysis. The study should be replicated in more diverse geographic settings with a larger sample.

Practical implications

The study provides evidence of the need for management to be supportive of innovation and technology, to evaluate the available resources (IT knowledge, skills, infrastructure) within the organisation, to recognise the importance of employees' contributions, and to be aware of the features appropriate to their company's size and industry sector before undertaking CRM technology adoption.

Originality/value

The findings from this study extend the understanding of CRM adoption in SMEs and help in building a greater understanding of the factors associated with such adoption. It will be of great value to owners/managers in SMEs who are considering adopting CRM.

Details

Journal of Small Business and Enterprise Development, vol. 20 no. 4
Type: Research Article
ISSN: 1462-6004

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Article
Publication date: 6 September 2019

Abbas Tarhini, Jihan Tarhini and Anwar Tarhini

Research has shown that information technology has a tremendous effect on higher educational (HE) institutions. The purpose of this paper is to develop a framework that…

Abstract

Purpose

Research has shown that information technology has a tremendous effect on higher educational (HE) institutions. The purpose of this paper is to develop a framework that would depict and highlight on the financial, cultural, political and social difficulties that affect the adoption of technology in HE institutions.

Design/methodology/approach

In this study, it is hypothesized that cultural, political and financial resources of the university administrative body, together with the employees’ background in terms of academic experience and education, shape the approach to a successful IT adoption. To investigate the proposed framework, a survey targeting employees, and an interview targeting IT managers were conducted.

Findings

The results indicate that the university structural framework together with IT knowledge and awareness at the university administrative level restrains any individual cultural and political effects on the IT adoption even if it is implemented partially.

Research limitations/implications

First, the respondents were selected using the convenience sampling technique. Second, the data were collected through self-report questionnaires.

Practical implications

The results of this study are important for university administrators, technology suppliers and donors, as this may contribute to better understanding of the factors that could influence the adoption, management and use of ICT resources for enhancing the knowledge of the university capabilities.

Originality/value

This study is the first one to address the integration of IT in HE institutions in the region; the results have implications for IT adoption in such institutions. More importantly, the study suggests a framework that reveals multiple levels of influence that impact the adoption and implementation of IT in the institutions.

Details

International Journal of Educational Management, vol. 33 no. 7
Type: Research Article
ISSN: 0951-354X

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1 – 10 of over 77000