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Article
Publication date: 23 May 2008

Mohd Daud Norzaidi, Siong Choy Chong and Mohamed Intan Salwani

Using the extended task‐technology fit (TTF) model, this paper attempts to determine whether task‐technology fit, perceived resistance, user resistance and usage influence…

1758

Abstract

Purpose

Using the extended task‐technology fit (TTF) model, this paper attempts to determine whether task‐technology fit, perceived resistance, user resistance and usage influence managers' performance.

Design/methodology/approach

The study was conducted on 150 middle managers from various organisations in Malaysia's port industry.

Findings

The structural equation modelling results reveal that task‐technology fit is significantly related to usage and perceived resistance, and that perceived resistance is a predictor of usage. Usage predicts performance, but not user resistance. There is no relationship between usage and user resistance, and vice versa.

Research limitations/implications

The study focuses on Malaysia's port industry and concentrates only on the management perspective of intranet usage.

Practical implications

The results provide insights into how the Malaysian port industry and other organisations of a similar structure could enhance their intranet usage.

Originality/value

This study is one of the first to address intranet usage in the port industry, and introduces two importance factors (i.e. perceived resistance and user resistance) that influence managers' task performance.

Details

Aslib Proceedings, vol. 60 no. 3
Type: Research Article
ISSN: 0001-253X

Keywords

Open Access
Article
Publication date: 26 July 2021

Adriana Ito, Torbjörn Ylipää, Per Gullander, Jon Bokrantz, Victor Centerholt and Anders Skoogh

Resistance is expected to emerge with the implementation and use of new technologies in production systems. This work focuses on identifying sources of resistance to the…

1335

Abstract

Purpose

Resistance is expected to emerge with the implementation and use of new technologies in production systems. This work focuses on identifying sources of resistance to the use of Industry 4.0 technologies when managing production disturbances and suitable managerial approaches to deal with them.

Design/methodology/approach

A qualitative approach was chosen in this research. The authors conducted a literature review and a series of interviews. Thirty-one papers from the literature review were analysed, and 16 people from five different companies were interviewed.

Findings

The authors identified five different sources of resistance and three managerial approaches to dealing with them. The sources of resistance were based on (1) feelings of over-supervision, (2) unclear values, (3) feelings of inadequacy, (4) concerns about loss of power and jobs and (5) work overload. The three approaches to dealing with resistance are (1) communication, (2) participation and (3) training.

Originality/value

This work identifies the sources and strategies to deal with resistance to the use of Industry 4.0 technologies in the management of production disturbances. The managerial literature in this area is limited, and to the authors's knowledge, the specific sources for resistance and strategies to deal with that in this topic have not been systematically investigated before.

Details

Journal of Manufacturing Technology Management, vol. 32 no. 9
Type: Research Article
ISSN: 1741-038X

Keywords

Article
Publication date: 28 August 2009

Mohd Daud Norzaidi and Mohamed Intan Salwani

Using the extended task‐technology fit (TTF) model, this paper aims to examine technology resistance, technology satisfaction and internet usage on students' performance.

2301

Abstract

Purpose

Using the extended task‐technology fit (TTF) model, this paper aims to examine technology resistance, technology satisfaction and internet usage on students' performance.

Design/methodology/approach

The study was conducted at Universiti Teknologi MARA, Johor, Malaysia and questionnaires were distributed to 354 undergraduate students.

Findings

The structural equation modelling (SEM) results indicate that technology satisfaction and the internet usage significantly explains the variance on students' performance. Task‐technology fit is not a predictor of technology resistance but it does predict the internet usage. The internet usage has greater impact on technology satisfaction than technology satisfaction on the internet usage. Finally, technology resistance is not a predictor of students' performance.

Research limitations/implications

The study focuses only on education in Malaysia and concentrates only on the students' performance and the relationship between technology resistance, technology satisfaction and the internet usage.

Practical implications

The results provide insights on how Malaysian education systems of a similar structure could improve upon their internet adoption.

Originality/value

This study is perhaps one of the first to address internet adoption in education using an extended task‐technology fit model (task‐technology fit, internet usage, technology resistance, technology satisfaction) to investigate their influences on students' performance.

Details

Campus-Wide Information Systems, vol. 26 no. 4
Type: Research Article
ISSN: 1065-0741

Keywords

Article
Publication date: 17 November 2021

Amit Shankar and Achint Nigam

The mobile human resource management application (mHRM app) has recently been seen as an innovative cloud-based solution to manage human resource management (HRM) within…

Abstract

Purpose

The mobile human resource management application (mHRM app) has recently been seen as an innovative cloud-based solution to manage human resource management (HRM) within organisation. Despite its great potential, organisations have shown resistance towards the usage of the mHRM app. This study investigates the dark side of electronic HRM (eHRM) by examining factors affecting HR professionals' resistance to the mHRM app using status quo bias (SQB) theory. The study also examines the moderating effect of personal innovativeness.

Design/methodology/approach

Responses were collected from 239 HR professionals using an online survey. Structural equation modelling (SEM) and PROCESS macro were used to examine the hypotheses.

Findings

The results indicated that regret avoidance, inertia, switching costs and perceived threat significantly affect HR professionals' resistance towards mHRM app adoption. Results also indicated that high personal innovativeness negatively moderates the association between inhibitors and resistance to adopt the mHRM app.

Practical implications

The study's findings will help HR professionals reduce their resistance towards mHRM app adoption.

Originality/value

This study enriches eHRM, mobile applications and the SQB literature.

Details

International Journal of Manpower, vol. 43 no. 1
Type: Research Article
ISSN: 0143-7720

Keywords

Article
Publication date: 13 March 2020

Shwadhin Sharma

This paper aims to put the focus on political disaffection that the voters may have and its impact on their resistance to the changes, thereby influencing intention to…

Abstract

Purpose

This paper aims to put the focus on political disaffection that the voters may have and its impact on their resistance to the changes, thereby influencing intention to adopt Internet voting. This study also examines the impact of perceived risk and technological skills on the trust of the Internet technology and informal networks, such as social influence and media influence on the trust of the government.

Design/methodology/approach

To empirically test the model, an online survey is administered to 851 people who are eligible to vote.

Findings

The findings show that positive media influence and social influence also significantly impact trust in government but trust in government does not necessarily decrease resistance to change and positively impact intention to adopt eVoting. Also, the resistance to change was shown to significantly influence the intention to use Internet voting.

Research limitations/implications

A primary potential limitation of this study is the use of convenience sampling, which may lead to self-selection bias that limits the generalization of our research to all citizens.

Practical implications

Government institutions, as well as political parties, can use the findings of this research to understand how political dissatisfaction such as apathy and cynicism can increase trust in technology and lead to higher participation in online voting.

Originality/value

While the focus on previous literature has been heavily on security and system requirements, this study expands existing research by exploring voting habits, political disaffection, the resistance of change and informal influence on intention to use online voting.

Details

Digital Policy, Regulation and Governance, vol. 22 no. 2
Type: Research Article
ISSN: 2398-5038

Keywords

Article
Publication date: 29 April 2021

Anuragini Shirish and Leslie Batuekueno

The article provides a conceptual replication and enrichment of the status quo bias theory in the specific context of understanding IT department user resistance and user…

Abstract

Purpose

The article provides a conceptual replication and enrichment of the status quo bias theory in the specific context of understanding IT department user resistance and user adoption. The findings can assist technology renewals and associated change management professionals to assess and plan the adoption and active usage of human resource systems.

Design/methodology/approach

The authors used survey method to gather data. All items were based on prior literature. They administrated the survey to employees of GOODTECH (name changed), information systems (IS) department members, situated in France. They obtained 103 valid responses along with usage data from the system to run their path model, in order to validate the proposed research model.

Findings

The study offers an enriched user resistance model (URM) to understand why IT-savvy employees would resist or adopt new human resource tools. Apart from providing partial validity to status quo bias theory in the French context, the enriched model uses behavioral intention to use as an intermediate variable to explain the influence of two key constructs of the original theory: switching cost and switching benefits. This research provides a better explanatory power to understand the cause of user resistance and new IT use.

Research limitations/implications

The sample size used in the study can be considered as a limitation, although power analysis reveals that the results are significant and valid. The context of the study is also limited to one country and to a specific type of IS implementation scenario. Since the purpose of the paper was to offer contextual theory enhancement, the findings are valid for this purpose.

Practical implications

Digital project managers are offered a framework to increase technology adoption of new human resource tools and evaluate how to reduce user resistance at times of technology renewals. Self-efficacy for change and colleagues’ opinion can indirectly impact behavioral intention to use via switching cost and switching benefit perceptions and thus reducing resistance perceptions as well as increasing adoption of new IT tools in post-implementation phases.

Originality/value

The paper enriches the well-established user resistance theory in IS domain in a context of human resource post-implementation phase by studying IT-savvy end user's perceptions. The paper demonstrates the need to integrate user adoption and user resistance variables in one parsimonious framework and extends support to emerging research on dual focus perspective.

Article
Publication date: 29 November 2022

Rajat Kumar Behera, Pradip Kumar Bala and Nripendra P. Rana

The new ways to complete financial transactions have been developed by setting up mobile payment (m-payment) platforms and such platforms to access banking in the…

Abstract

Purpose

The new ways to complete financial transactions have been developed by setting up mobile payment (m-payment) platforms and such platforms to access banking in the financial mainstream can transact as never before. But, does m-payment have veiled consequences? To seek an answer, the research was undertaken to explore the dark sides of m-payment for consumers by extending the theory of innovation resistance (IR) and by measuring non-adoption intention (NAI).

Design/methodology/approach

Three hundred individuals using popular online m-payment apps such as Paytm, PhonePe, Amazon Pay and Google Pay were surveyed for the primary data. IBM AMOS based structural equation modelling (SEM) was used to analyse the data.

Findings

Each m-payment transaction leaves a digital record, making some vulnerable consumers concerned about privacy threats. Lack of global standards prevents consumers from participating in the m-payment system properly until common interfaces are established based on up-to-date standards. Self-compassion (SC) characteristics such as anxiety, efficacy, fatigue, wait-and-see tendencies and the excessive choice of technology effect contribute to the non-adoption of m-payment.

Originality/value

This study proposes a threat model and empirically explores the dark sides of m-payment. In addition, it also unveils the moderator's role of SC in building the structural relationship between IR and NAI.

Details

Information Technology & People, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0959-3845

Keywords

Article
Publication date: 27 August 2019

Aygul Donmez-Turan

Technology acceptance is an incremental approach that has developed over the years. Taking technology acceptance or adoption literature into consideration, the paper aims…

1173

Abstract

Purpose

Technology acceptance is an incremental approach that has developed over the years. Taking technology acceptance or adoption literature into consideration, the paper aims to investigate the mediating role of adoption readiness, constructed on the basis of the unified theory of acceptance and use of technology (UTAUT), on the relationship between user resistance as well as user anxiety and attitude toward using a system.

Design/methodology/approach

In consideration of previous studies, the public personnel’s adaptation of electronic document management systems is within the scope of the present research. Gathering data from 262 administrative personnel working in a public university, explanatory and second-order confirmatory factor analyses were done for the UTAUT scale. In addition, reliability and construct validity were tested for each scale; UTAUT, user resistance, user anxiety and attitude toward using. Relationships among variables of the research were controlled by the measurement model and then the structural model was tested.

Findings

Confirming previous research, the scales of UTAUT, user resistance, user anxiety and attitude toward using were found to have acceptable reliability and internal consistency. In addition, the implications of the paper showed user resistance influenced attitude toward using indirectly, by affecting adoption readiness. It also indicated that adoption readiness fully mediated the relationship between user anxiety and attitude toward using.

Originality/value

Negative behavioral antecedents of UTAUT are the focus of the paper. Reducing the negative effects of resistance as well as anxiety of individuals on their attitudes using a system is emphasized in the technology acceptance literature. Furthermore, defining each dimension of UTAUT as a single construct, adoption readiness, and proving the intervening role of adoption readiness between user resistance, as well as anxiety, on the attitude toward using a system are contributions to the literature.

Article
Publication date: 15 December 2021

Tat-Huei Cham, Jun-Hwa Cheah, Boon-Liat Cheng and Xin-Jean Lim

Since its inception, mobile payment is rapidly gaining popularity over the years, and starting to replace traditional modes of payment. The usage of mobile payments has…

1529

Abstract

Purpose

Since its inception, mobile payment is rapidly gaining popularity over the years, and starting to replace traditional modes of payment. The usage of mobile payments has further escalated following various precautionary measures (i.e. social distancing) in curbing the transmission of the COVID-19 outbreak. However, most of the elderlies are still sceptical about the usage of mobile payment services. The current study was set to investigate the impact of functional, psychological and risk barriers that resulted in elderlies' resistance towards using such services. The impact of stickiness to cash was also examined as a moderator on the investigated relationships.

Design/methodology/approach

Online survey questionnaires were used to collect the responses from 400 elderly consumers at the age of 60 and above. Data analysis was then performed using the SPSS and AMOS statistical software packages.

Findings

Findings obtained acknowledged the significance of functional (i.e. perceived complexity, perceived incompatibility and perceived cost), psychological (i.e. lack of trust, inertia, and technological anxiety) and risk (i.e. privacy risk, security risk, financial risk and operational risk) barriers in influencing resistance towards mobile payment services among the elderlies. Consequently, resistance would influence their attitude and non-adoption intention; with attitude as the mediator between resistance and non-adoption intention. Finally, moderation analysis also confirmed the moderating effect of stickiness to cash towards elevating the correlation between resistance and non-adoption intention.

Originality/value

This study is one of the very few studies that explored the minimally investigated territory on the consequential importance of mobile payment usage among the elderlies, specifically, through extending the literature on the impact of functional, psychological and risk barriers towards the individuals' resistance. Besides, this study also successfully contributed to existing body of knowledge by highlighting the mediating role of attitude and moderating role of stickiness to cash in the interrelationships between resistance, attitude and non-adoption intention.

Details

International Journal of Bank Marketing, vol. 40 no. 5
Type: Research Article
ISSN: 0265-2323

Keywords

Article
Publication date: 22 May 2020

Jongbum Kim, Jeonghun Seo, Hangjung Zo and Hwansoo Lee

Electronic books (e-books) have been in the market for decades but have been unable to replace paper books. Previous studies on e-books have failed to identify significant…

1033

Abstract

Purpose

Electronic books (e-books) have been in the market for decades but have been unable to replace paper books. Previous studies on e-books have failed to identify significant factors affecting the adoption and diffusion of e-books. This study develops a theoretical framework to explain the adoption behavior of e-books from the perspective of user resistance.

Design/methodology/approach

After a pilot test with 50 e-book users, the research model is validated using a partial least squares structural equation modeling (PLS-SEM) technique. A web-based survey method is used to collect data from a sample of 350 people – selected from Korean e-book users and nonusers – during a week in March 2017. This study tests the reliability and validity of the integrated model of planned behavior and resistance theory and tests the hypotheses with bootstrapping resampling.

Findings

The results show that four barriers – usage, value, risk and image – cause resistance to change and users with higher resistance have lower intention to use. The moderating effect of self-efficacy between resistance to change and intention to use is confirmed. Self-efficacy interacts not only with the encouraging factors but also with resistance.

Originality/value

This study expands the understanding of users' adoption behavior of e-books by examining inhibiting factors using a novel integrated model. The findings of this research provide insights for digital product providers, especially e-book publishers, to understand why digital products have not been successful in the marketplace.

Details

Journal of Enterprise Information Management, vol. 34 no. 3
Type: Research Article
ISSN: 1741-0398

Keywords

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