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Book part
Publication date: 8 August 2005

Janet H. Marler and James H. Dulebohn

We review the literature on individual acceptance of technology to show how organizations can improve the effective use of human resource web-based technologies

Abstract

We review the literature on individual acceptance of technology to show how organizations can improve the effective use of human resource web-based technologies. Integrating and expanding several theoretical models of technology acceptance, we develop a perceptual model of employee self-service (ESS) acceptance and usage. Based on this model, we propose several key individual, technological, and organizational factors relevant to individual intentions to use ESS technology. We summarize these in several testable propositions and also discuss implications for organizational researchers and practitioners.

Details

Research in Personnel and Human Resources Management
Type: Book
ISBN: 978-0-76231-215-3

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

Article
Publication date: 1 July 2022

Yiwei Zhao, Yindong Sun, Qianqian Zhou, Caiyun Cui and Yong Liu

The aim of this paper is to research the acceptance mechanism of building information modeling (BIM) technology and to explore the differences among…

Abstract

Purpose

The aim of this paper is to research the acceptance mechanism of building information modeling (BIM) technology and to explore the differences among Architecture/Engineering/Construction (A/E/C) professionals with different individual characteristics. The proposed acceptance mechanism of BIM technology is intended to be used by industry stakeholders to propose decisions and measures, and improve the degree of BIM adoption.

Design/methodology/approach

Traditional hypothesis testing is adopted by the current study to empirically research the specific mechanism of A/E/C professionals accepting BIM technologies. In the one phase, a conceptual model based on technology acceptance model (TAM) and technology organization environment (TOE) theory was established and a large-scale questionnaire survey was conducted. In the other phase, structural equation modeling (SEM) was used to analyze acquired sample data, so as to empirically test the validity of the proposed linkage.

Findings

The results show first that perceived ease of use has no significant influence on perceived usefulness, and perceived usefulness has no significant effect on behavior intention as well. Second, BIM technical features and government BIM policies have positive effects on perceived usefulness, BIM technical features and organization supports have positive effects on perceived ease of use. Third, the BIM acceptance mechanism of A/E/C professionals is diverse from respondents with different characteristics, e.g. regions and working time.

Originality/value

The authors highlight the large sample size, as well as the nationwide context, of the questionnaire survey. Meanwhile, acceptance differences among A/E/C professionals with different demographic characteristics have been clarified using profound data and t-test. The findings of this study enrich the research on the acceptance mechanism of BIM technology, and contribute to relevant stakeholders taking targeted measures to promote the effective application of BIM technology nationwide.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 28 April 2022

Wajeeha Aslam, Danish Ahmed Siddiqui, Imtiaz Arif and Kashif Farhat

By extending the service robot acceptance model (sRAM), this study aims to explore and enhance the acceptance of chatbots. The study considered functional, relational…

Abstract

Purpose

By extending the service robot acceptance model (sRAM), this study aims to explore and enhance the acceptance of chatbots. The study considered functional, relational, social, user and gratification elements in determining the acceptance of chatbots.

Design/methodology/approach

By using the purposive sampling technique, data of 321 service customers, gathered from millennials through a questionnaire and subsequent PLS-SEM modeling, was applied for hypotheses testing.

Findings

Findings revealed that the functional elements, perceived usefulness and perceived ease of use affect acceptance of chatbots. However, in social elements, only perceived social interactivity affects the acceptance of chatbots. Moreover, both user and gratification elements (hedonic motivation and symbolic motivation) significantly influence the acceptance of chatbots. Lastly, trust is the only contributing factor for the acceptance of chatbots in the relational elements.

Practical implications

The study extends the literature related to chatbots and offers several guidelines to the service industry to effectively employ chatbots.

Originality/value

This is one of the first studies that used newly developed sRAM in determining chatbot acceptance. Moreover, the study extended the sRAM by adding user and gratification elements and privacy concerns as originally sRAM model was limited to functional, relational and social elements.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 10 March 2021

Ifeanyi Okpala, Chukwuma Nnaji and Ibukun Awolusi

This study aims to examine relationships between several key technology acceptance variables that predict workers’ wearable sensing devices (WSDs) acceptance in the…

Abstract

Purpose

This study aims to examine relationships between several key technology acceptance variables that predict workers’ wearable sensing devices (WSDs) acceptance in the construction industry by using technology acceptance model, theory of planned behavior and unified theory of acceptance and use of technology (UTAUT) model. The study proposes a hybrid conceptual model to measure construction field workers’ intentions to use WSDs and their usage behaviors. The study introduces variables that are instrumental in understanding and improving WSD acceptance in construction.

Design/methodology/approach

The study was carried out using a structured literature review, online survey and structural equation modeling. A total of 195 field workers across the USA, with experience in using WSDs, participated in the study.

Findings

Results indicate that all three theories predict WSD acceptance with variables explaining at least 89% of the variance in actual use, with the UTAUT outperforming other models (91%). However, the differences between the predictive power of these models were not statistically significant. A hybrid conceptual model is proposed using findings from the present study.

Practical implications

The study contributes to knowledge and practice by highlighting key variables that influence WSD acceptance. Findings from this study should provide stakeholders with critical insights needed to successfully drive WSD acceptance in the construction industry.

Originality/value

To the best of the authors’ knowledge, this is the first study that evaluates the predictive strength of multiple technology acceptance theories and models within the construction worker safety technology domain. Additionally, the study proposes a hybrid conceptual model which could provide practitioners and researchers with information pertinent to enhancing WSD acceptance.

Open Access
Article
Publication date: 30 September 2019

Jia Li, Wenxiang Xu and Xiaohua Zhao

Connected vehicle-based variable speed limit (CV-VSL) systems in fog area use multi-source detection data to indicate drivers to make uniform change in speed when low…

Abstract

Purpose

Connected vehicle-based variable speed limit (CV-VSL) systems in fog area use multi-source detection data to indicate drivers to make uniform change in speed when low visibility conditions suddenly occur. The purpose of the speed limit is to make the driver's driving behavior more consistent, so as to improve traffic safety and relieve traffic congestion. The on-road dynamic message sign (DMS) and on-board human–machine interface (HMI) are two types of warning technologies for CV-VSL systems. This study aims to analyze drivers’ acceptance of the two types of warning technologies in fog area and its influencing factors.

Design/methodology/approach

This study developed DMS and on-board HMI for the CV-VSL system in fog area on a driving simulator. The DMS and on-board HMI provided the driver with weather and speed limit information. In all, 38 participants participated in the experiment and completed questionnaires on drivers’ basic information, perceived usefulness and ease of use of the CV-VSL systems. Technology acceptance model (TAM) was developed to evaluate the drivers’ acceptance of CV-VSL systems. A variance analysis method was used to study the influencing factors of drivers’ acceptance including drivers’ characteristics, technology types and fog density.

Findings

The results showed that drivers’ acceptance of on-road DMS was significantly higher than that of on-board HMI. The fog density had no significant effect on drivers’ acceptance of on-road DMS or on-board HMI. Drivers’ gender, age, driving year and driving personality were associated with the acceptance of the two CV-VSL technologies differently. This study is beneficial to the functional improvement of on-road DMS, on-board HMI and their market prospects.

Originality/value

Previous studies have been conducted to evaluate the effectiveness of CV-VSL systems. However, there were rare studies focused on the drivers’ attitude toward using which was also called as acceptance of the CV-VSL systems. Therefore, this research calculated the drivers’ acceptance of two normally used CV-VSL systems including on-road DMS and on-board HMI using TAM. Furthermore, variance analysis was conducted to explore whether the factors such as drivers’ characteristics (gender, age, driving year and driving personality), technology types and fog density affected the drivers’ acceptance of the CV-VSL systems.

Details

Journal of Intelligent and Connected Vehicles, vol. 2 no. 2
Type: Research Article
ISSN: 2399-9802

Keywords

Article
Publication date: 11 September 2017

Michal Kuciapski

Although mobile devices are ubiquitous among employees, their awareness and readiness to use mobile technologies for competence development is still not widespread and…

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Abstract

Purpose

Although mobile devices are ubiquitous among employees, their awareness and readiness to use mobile technologies for competence development is still not widespread and therefore requires further exploration. The purpose of this study is to propose a conceptual model based on the unified theory of acceptance and use of technology (UTAUT) to explain the determinants that affect employees’ intention to use mobile devices and software for knowledge transfer during the process of knowledge management.

Design/methodology/approach

A conceptual model based on the UTAUT with new variables concerning relative usability (RU) and user autonomy (UA) and new connections between the determinants was developed as a result of a subject matter literature review. A structural equation modelling approach was used to validate the model on the basis of data collected via a survey collected from 371 employees from 21 sectors, both public and private.

Findings

The UTAUT model extended by new variables like RU and UA explains employee acceptance of mobile technologies for knowledge transfer reasonably well. New proposed variables highlighted that the usability of technology compared to other solutions and user autonomy in the selection and the use of applications have the strongest impact on the employees’ intention to use mobile devices and software for knowledge transfer.

Research limitations/implications

This model explains the 55 per cent behavioral intention of employees to use mobile technologies for knowledge transfer. Even though it is quite high in terms of acceptance theories, some new variables should be explored. Furthermore, study does not verify whether m-learning acceptance for knowledge transfer is sector-specific.

Practical implications

Mobile technologies used for knowledge transfer by employees should allow for high UA through their ability to select solutions that they find convenient, use of preferred platforms, personalize applications and utilize devices and software in various environments. They should not be simplified and should have the same functionality and efficiency of use as alternative solutions like web and desktop applications, even if additional effort to learn them would be required. Mobile technologies that take into account UA and RU support the process of employees capturing, distributing and effectively using knowledge.

Originality/value

The elaborated model provides a valuable solution with practical implications for increasing mobile technologies acceptance for knowledge transfer. The study results contribute both to knowledge management and technology acceptance research fields by introducing two new determinants for the acceptance of technologies in knowledge transfer, such as UA and RU with several additional connections between existing UTAUT variables.

Details

Journal of Knowledge Management, vol. 21 no. 5
Type: Research Article
ISSN: 1367-3270

Keywords

Article
Publication date: 1 February 2021

Mahdi Bastan, Masoumeh Zarei, Reza Tavakkoli-Moghaddam and Hamed Shakouri G.

The Iranian construction industry has been grappling with numerous problems in recent years, including rework, high costs and design errors. Engineers in this field have…

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Abstract

Purpose

The Iranian construction industry has been grappling with numerous problems in recent years, including rework, high costs and design errors. Engineers in this field have always highlighted the use of modern technological methods of construction to improve quality and productivity and reduce time and cost. One of these technologies is the so-called building information modeling (BIM), which has been very difficult to adopt and implement in Iran. The purpose of this study is to propose a systemic and holistic model to analyze the dynamics of adoption and implementation of BIM in this country. The purpose of this paper is to understand the dynamics of BIM acceptance to identify the most effective policy to maximize it in the Iranian manufacturing industry.

Design/methodology/approach

A two-stage methodology has been developed to achieve the purpose of the research. In the first stage, a technology acceptance model for BIM acceptance was developed using the grounded theory (GT) method. This conceptual model provides a holistic basis for building a simulation model. Thus, in the second stage, we used the dynamics system methodology to extract a dynamic model from the conceptual one. This dynamic model can simulate different policies and may be used to evaluate their respective effectiveness.

Findings

In this study, using the GT method, we obtained 510 primary codes, 118 secondary codes, 50 concepts and 17 categories. After determining the relationships between categories through axial coding, we reached a conceptual model based on selective coding. Mention some of the variables of the conceptual model. Awareness, security, perceived usefulness and perceived ease of use are some of the most important variables of this model. In the next part, this conceptual model was run using system dynamics and, thus, turned into a causal model in which all the effective variables on BIM technology and their relationships with each other are specified. The stock and flow diagram of the problem and its related equations were presented. To improve the model and solve the problem, we examined the four policies as four future scenarios on the model: continuing the status quo, development of specialist workforce training, bolstering governmental support and increasing awareness via advertisement within. The simulation results showed that government support is the most effective policy for maximizing BIM acceptance in Iran.

Practical implications

In addition to enumerating all the factors affecting BIM technology, this paper proposes a systemic model that provides an accurate and comprehensive view of the acceptance of this technology. In this regard, by introducing feedback loops, as well as reinforcing and balancing factors versus factors causing stasis, the model offers a much deeper insight into mechanisms associated with BIM development and its barriers. Therefore, this study provides a very useful perspective and basis for policy-makers and all stakeholders to accept and implement BIM technology. The findings of this study can lead to more accurate policy-making, removal of acceptance barriers, promotion of incentives, and consequently more effective acceptance of BIM technology.

Originality/value

In this study, a new mixed research method was used. The innovation of our study lies in its simultaneous use of GT method to construct an accurate and holistic model and applying the system dynamics methodology to build a holistic and systemic model of the BIM acceptance problem. This research also provides a suitable standard and tool for studying BIM technology in developing countries.

Details

Kybernetes, vol. 51 no. 1
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 9 August 2011

John F. Kros, R. Glenn Richey, Haozhe Chen and S. Scott Nadler

The purpose of this paper is to focus on radio frequency identification (RFID) acceptance and examine three understudied drivers: a company's satisfaction with existing…

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Abstract

Purpose

The purpose of this paper is to focus on radio frequency identification (RFID) acceptance and examine three understudied drivers: a company's satisfaction with existing logistics technologies, its logistics technology readiness (technology optimism and technology innovativeness), and relationship hostage position. The proposed conceptual model also investigates the impacts of RFID acceptance and these three antecedents on the company's logistics performance.

Design/methodology/approach

Survey data were collected from the members of three professional associations in the USA. Structural equation modeling was used to test the proposed relationships.

Findings

According to the analysis results, a company's satisfaction with existing technology has negative impact on RFID acceptance, and technology readiness has positive impact on RFID acceptance. However, the relationship between a company's hostage position and RFID acceptance was found to be only partially significant. Also, the positive relationship between a company's RFID acceptance and its logistics performance is confirmed in this study. Furthermore, while a company's satisfaction with existing technology and technology innovativeness were found to be positively related to logistics performance, its technology optimism and hostage position were not significant related to its logistics performance.

Practical implications

This research confirms that a company's RFID acceptance is positively related to logistics performance. Therefore, even if a company is satisfied with its existing technologies, careful evaluation is warranted to determine if RFID as a new technology is needed to maintain the company's logistics performance in a dynamic environment. Also, this research suggests that supply chain members should be extremely cautious about the power usage toward its partners, because the authors' results show that forcing other partners to take cooperative actions may not yield the desired results.

Originality/value

This is first study examining RFID technology through a behavioral perspective. A new construct, RFID acceptance, was proposed, and related measurement scale was developed and tested along with its antecedents and outcomes.

Details

International Journal of Physical Distribution & Logistics Management, vol. 41 no. 7
Type: Research Article
ISSN: 0960-0035

Keywords

Article
Publication date: 19 August 2019

Mohit Kant Kaushik and Deepak Verma

The purpose of this paper is to review existing literature on users’ digital learning acceptance behavior and to identify gaps in the current body of knowledge and suggest…

Abstract

Purpose

The purpose of this paper is to review existing literature on users’ digital learning acceptance behavior and to identify gaps in the current body of knowledge and suggest future research directions. The paper also includes identification of motivating as well as inhibiting factors previously explored by academicians in the acceptance of digital learning.

Design/methodology/approach

The systematic literature review based on PRISMA methodology was conducted, and 200 articles from peer-reviewed journals on digital learning acceptance behavior using technology adoption theories were examined.

Findings

The study found an overall rise in the number of papers published yearly during 2002–2017. Most of the studies were published in two journals, i.e. Computers & Education and Computers in Human Behaviour and were carried out in Asia followed by Europe, North America, Africa, Oceania and South America. It was also noted that most of the studies have used the technology acceptance model and were empirical in nature. The study also found that prominently students’ digital learning acceptance behavior was investigated. The review also indicates a lack of qualitative and mixed method (qualitative and quantitative) approaches to study digital learning acceptance behavior.

Practical implications

The study identified gaps in the current body of knowledge by reviewing published articles that will suggest future directions for further research. The top three determinants of digital learning acceptance that have been analyzed were the behavioral intention, perceived usefulness and perceived ease of use, followed by attitude and user behavior. The study articulates the implications for providers in marketing digital learning products, for higher education institution in expanding digital content, for students seeking digital education tools, for educators in motivating students to accept digital learning and for governments in delivering cost-effective public education by utilizing digital learning.

Originality/value

The paper analyzes 200 publications on digital learning acceptance through technology adoption theories. To the best of the authors’ knowledge, this is the first initiative to provide systematic and exhaustive summarization of the knowledge in this subject. It further explores the various factors influencing digital learning adoption behavior and provides avenues for future research. The paper is useful for researchers working on digital learning acceptance behavior.

Details

Journal of Applied Research in Higher Education, vol. 12 no. 4
Type: Research Article
ISSN: 2050-7003

Keywords

1 – 10 of over 47000