Search results

Blockchain technology has created possibilities for environmental supply chain sustainability and climate protection. However, because of its early development stage, users tend to resist the adoption of this new technology. The purpose of this study is to investigate the effects of resistance on blockchain adoption intentions in the context of the foodservice industry. This study further explores if public pressures and climate change awareness could possibly weaken the negative relationships between blockchain resistance and adoption intentions.

Data were collected from managers and full-time employees in the foodservice industry, using an online research panel survey. A structural equation model was developed and tested to examine the hypothesized relationships. Additionally, a multi-group analysis was performed to test the moderating roles of public pressures and climate change awareness.

The findings from this study confirmed that foodservice employees’ characteristics, including traditional barriers, and blockchain technology factors, like perceived risk, are both significant in forming resistance to blockchain. This study also demonstrated the significant roles of internal and external stakeholders in weakening the negative associations between blockchain resistance and adoption intentions.

This study recommends that foodservice companies address how to reduce their employees’ negative perceptions about changes imposed by blockchain adoption. This study also suggests the joint consideration of the pressures from internal and external stakeholders to provide continued insights into developing environmental practices for the foodservice industry.

This study extends the theoretical underpinning of the innovation resistance theory by incorporating the stakeholder theory as a strong foundation for understanding how external pressures and internal awareness may influence foodservice employees’ responses to the implementation of blockchain technology to mitigate climate change.

The study aims to drive conceptual clarity around resistance to information technology projects, integrating multiple facets of the phenomenon from earlier studies.

The study conducts a meta-synthesis of qualitative studies on resistance to technology projects; it analyzes those studies at a case-specific level, compares and contrasts emergent concepts against each other, and “translates” those to the rest of the studies. The study uses the seven-step meta-ethnography method by Noblit and Hare to reciprocally translate emergent concepts to construct the conceptual model.

Through meta-synthesis, the study derives a new conceptual model for resistance to information technology projects, exemplifying how the identified antecedents create user resistance and how the phenomenon progresses within organizations.

This study enriches the observations and conclusions of past individual studies while explicating various facets of the mechanisms that generate and progress technology resistance within organizations. It offers fresh insights into the equivocal nature of the phenomenon and the distinctive ways it progresses from individual to group level.

Many ambitious and costly digital transformation efforts do not succeed due to user resistance. Understanding the mechanisms that create user resistance can help organizations manage technology projects better, thereby reducing the technology assimilation gap and protecting returns on related investments.

There have been extensive studies on technology acceptance (enablers) within organizations, while those relating to technology inhibitors are somewhat limited. However, the symmetry of understanding between enablers and inhibitors is vital for organizations to assimilate promising technologies and transform their business models. This model uses a new lens of sensemaking theory to explain how the antecedents trigger perceived threats and resistance behavior; it highlights the nuances around the development of resistance within individuals and its progression to groups. The resultant model offers better generalizability in organizational contexts.

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.

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

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.

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

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

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.

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.

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.

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.

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.

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

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

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.

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.

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

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.

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.

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

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.

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

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

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.

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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).

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.

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.

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.