Innovation Resistance Research Articles

From resistance to acceptance: developing health task measures to boost mHealth adoption among older adults: mixed-methods approach and innovation resistance

PurposeThere are two main objectives in this study. First, we aim to develop a set of constructs for health task management support (HTMS) features to evaluate which health-related tasks are supported by mobile health application (mHealth app) functions. Second, drawing on innovation resistance theory (IRT), we examine the impacts of the newly developed HTMS dimensions on perceived usefulness, alongside other barrier factors contributing to technology anxiety.Design/methodology/approachUsing a mixed-method research design, this research seeks to develop new measurement scales that reflect how mHealth apps support older adults’ health-related needs based on interviews. Subsequently, data were collected from older adults and exploratory factor analysis was used to confirm the validity of the new scales. Partial least squares structural equation modeling (PLS-SEM) was used to analyze survey data from 602 older adults.FindingsThe PLS-SEM results indicated that medical management task support, dietary task support, and exercise task support were positively associated with perceived usefulness, while perceived complexity and dispositional resistance to change were identified as antecedents of technology anxiety. Perceived usefulness and technology anxiety were found to positively and negatively influence adoption intention, respectively.Originality/valueThis study enriches the information systems literature by developing a multidimensional construct that delineates how older adults’ health-related needs can be supported by features of mHealth apps. Drawing on IRT, we complement the existing literature on resistance to innovation by systematically examining the impact of five types of barriers on technology anxiety.

Artificial Intelligence and Consumer’s Perception: A Research on Environmentally Conscious Consumer

The purpose of this study is to explore the limited exploration of the simultaneous influence of beneficial artificial intelligence, destructive artificial intelligence, and risky artificial intelligence on green purchase intention and green purchase behaviour using the Technology Acceptance Model (TAM) and Innovation Resistance Theory (IRT). Further, it also checks the impact of green purchase intention on green purchase behaviour. Data was collected using a well-structured questionnaire from 124 consumers through online mode and analyzed using Confirmatory Factor Analysis (CFA) for reliability and validity concerns and Structural Equation Modelling (SEM) for interaction among the variables. The study's results exhibit the positive impact of beneficial artificial intelligence on green purchase intention and green purchase behaviour. Also, it reveals that destructive artificial intelligence has a positive impact on green purchase intention but a negative impact on green purchase behaviour. In addition, green purchase intention is found to be the predictor of green purchase behaviour. The extant literature is found on the impact of artificial intelligence on purchase behaviour. However, no research has been done on consumer perception of artificial intelligence and its impact on green purchase intention and green purchase behaviour as per the author’s knowledge. This study contributes to the literature of artificial intelligence as well as green consumer behaviour.

Unveiling the Future: Decrypting Mobile Investment Resistance with Multi-Stage SEM-ANN-NCA Approach

Mobile commerce has transformed business over the past decade with various m-commerce applications. Despite the growing popularity of digital investment, there is still global resistance to using mobile applications for investment purposes. This work aims to develop a model for analyzing and predicting mobile investment resistance (MIR) by investigating the main hurdles identified in Innovation Resistance Theory (IRT). In addition, this study has extended the IRT theory by integrating demographic factors and mobile innovativeness. Data has been collected from 920 investors. The tri-stage SEM-ANN-NCA strategy, which introduces a new methodological paradigm for mobile investment resistance forecasting, makes this academic study powerful and exceptional. The researchers found that risk is the most influential barrier, followed by usage, tradition, value, image, education, age, and mobile innovativeness. This study helps mobile investment service providers and Fintech companies identify the most significant challenges, solve them, and improve the user experience for mobile investors.

Passive Innovation Resistance in Digital Subscription Services

Passive Innovation Resistance in Digital Subscription Services

Adoption of contact tracing app during pandemic: Users’ resistance behavior

ObjectivesThe study investigates the key issues influencing different barriers resulting in user resistance toward adopting contact tracing smartphone apps launched to track COVID-19 infections. MethodsIndian users’ experiences regarding the Aarogya Setu app for preventing the spread of COVID-19 were examined in two phases. In Phase I, online users’ comments available at the Google Play Store were qualitatively analyzed using open and axial coding. These codes were then used to create an implication matrix and hierarchical value maps to illustrate and interpret the relationships between issues, barriers, and user behavior. In Phase II, a supplementary empirical study, data was collected from users and non-users of the app through semi-structured telephone interviews and then qualitatively analyzed. ResultsBy drawing on innovation resistance theory, the current study mapped a set of adoption barriers with three types of user resistance, i.e., postponement, opposition, and rejection. Rejection emerged as the most prominent consumer resistance behavior; usage barriers, functional risk, and value barriers related to the app's usage were the key drivers of this behavior. Postponement was the second most observed consumer resistance behavior. If usage barriers, functional risk, and value barriers of the app resulted in functional barriers toward adoption of the app, then image barrier was the key reason behind the psychological barrier. ConclusionAdministrators and developers of future interventions need to be conscious of usage barriers, functional risks, and value barriers related to the app's usage through stakeholder engagement to secure broader and faster adoption of such apps to improve health information systems.

Barriers to organisational development in higher education lifelong learning initiatives

From an economic human capital perspective, higher education lifelong learning initiatives should include the professional development of individuals as well as organisational development. This indicates the dissolving of boundaries between individual and organisational development and that successful professional development occurs at both individual and aggregated levels. Based on the networked mode, higher education institutions could be closely linked to their surrounding society, embracing a two-way relationship with a hybrid character, including multiple connections with branches and/or organisations. In such initiatives, formal education and informal work-related tasks are blurred and both are emphasised as equally important. In focus are collaborative features and the idea to link theoretical reasoning to authentic organisational problems. To offer higher education lifelong learning for organisational development, Mid Sweden University initiated a project called BUFFL in collaboration with eight organisations belonging to an established network of banks and insurance companies. This paper aims at reporting barriers to organisational development in higher education lifelong learning. It answers the following research question: Which barriers could be identified when implementing a hybrid and networked approach to higher education lifelong learning for organisational development? A case-study-inspired approach was conducted. In total, 328 registrations from the collaborating organisations were documented in the BUFFL courses. In addition to open-ended questions and Likert scale questions in the course evaluations, the methods also included conversations with leading representatives of the collaborating organisations. Although several barriers were highlighted in line with the innovation resistance theory, the main barrier seems to be that no organisation applied lifelong learning as a tool for strategic organisational development. The study suggests that a crucial barrier breaker to reduce or eliminate the main barrier is a course on strategically managed competence development for leading representatives of participating organisations. A combined focus on individuals and organisations could also stimulate leading representatives to take a holistic approach to the organisation’s competence development. This includes increased responsibility to ensure that investments in the competence area are beneficial for the organisation. Bringing company-relevant data as input to the courses could ensure the establishment of strong links between theoretical perspectives and work-related practices.

Remedying driving range and refueling challenges in electric mobility: Consumer adoption of battery-swappable electric vehicles

Driving range (mileage) limitations and long charging times associated with electric vehicle (EV) usage have necessitated the emergence of battery-swappable electric vehicles (BSEV) for sustainable mobility. In enhancing BSEV proliferation, a thorough comprehension of consumer adoption is needed. Understanding consumer adoption or hesitancy of BSEV is important for environmental sustainability. Consequently, this study explores the adoption intention of BSEVs by extending an amalgamated technology acceptance model (TAM) and the innovation resistance theory (IRT) with knowledge. Using 552 responses obtained through a survey, hypotheses were assessed using a structural equation model (SEM). Results from the study expressed that the conceptual framework explained 70.2 % of the overall variance, better than the individual TAM (40.7 %) and IRT (20.2 %), as well as the integrated model (60.7 %). Perceived ease-of-use, attitude, and perceived usefulness were positive in influencing BSEV. Value barrier and usage barrier were negatively significant in influencing BSEV adoption intention. However, the barrier of risk was insignificant in affecting the adoption intention of BSEVs. Tradition and image barriers were negative in influencing attitude. Perceived usefulness and attitude were discovered as mediators. This research provides policymakers and stakeholders with apt recommendations to promote acceptance and mitigate BSEV adoption hesitancy.

Barriers to playing digital games: Why do some people choose not to play digital games?

While the global gaming industry has become a significant economic force, surpassing the film and music industries in market size, it has not achieved the same level of universality as its entertainment counterparts. Previous literature has mainly focused on gaming motivation, addiction, and regulation, ignoring non-game players and their barriers. Therefore, this study explores why people are hesitant to play digital games and investigates the factors that contribute to this resistance. The current study incorporates Crawford and Godbey’s (1987) leisure barriers into Innovation Resistance Theory. Of the seven barriers identified, this study categorizes four as intrapersonal, two as interpersonal, and one as a structural barrier. Further, it explores the differences between non-game players by categorizing them into those without any digital gaming experience (NG-N) and those with previous digital gaming experience (NG-F). The findings of this study suggest that perceived incompetence and negative social perception are the main barriers to playing digital games. As for the group analysis, there is a statistically significant difference between NG-N and NG-F players. These results provide valuable insights for both gaming industry, and regulatory bodies to create a better environment for the gaming ecosystem and expand its potential user base.

Research on Unmanned Smart Hotels Resistance from the Perspective of Innovation Resistance Theory

Research on Unmanned Smart Hotels Resistance from the Perspective of Innovation Resistance Theory

Innovation Resistance of Vulnerable Workers: Focusing on Corporate Financial Performance

Innovation, as represented by information technology (IT), is considered essential to the survival of a business. Companies use IT innovation to improve their financial performance and the effectiveness of their operations. While technological innovation in the past focused on the introduction of machines to replace physical labor, modern IT innovation, represented by artificial intelligence, has shown that it can also replace human creativity and intellectual labor, increasing job insecurity for human resources at all levels. Therefore, the interests of companies and workers in IT innovation based on the assurance of job security conflict, and workers are motivated to reject IT innovation just like their predecessors who rejected machines. Moreover, vulnerable groups of workers will experience greater job insecurity. During the economic crisis, companies try to reduce labor costs to survive, which also poses a threat to workers’ job security. This study examines the impact of IT innovation intensity on workers’ innovation resistance by dividing it into system and process aspects and identifying the moderating effects of workers’ vulnerability and firms’ financial performance. Using data from the Korean Labor & Income Panel Study in South Korea, this study reveals that workplaces with a high proportion of female workers are more likely to engage in innovation resistance in response to IT innovation; this tendency is stronger the worse the financial performance of the firm. Furthermore, this study presents the implications and limitations and directions for future research.

Barriers to adoption of slow tourism: An innovation resistance theory perspective

AbstractSlow tourism is a recent concept in the travel and tourism industry. It offers rejuvenation and immersion in local culture to travelers along with environmental and economic benefits. While slow tourist destinations are picking up the pace and interest of consumers, they also face a lot of resistance from consumers. However, existing literature on slow tourism has essentially focused on travelers' adoption intentions and motivations toward slow tourism, scarcely investigating the sources of such resistance. Addressing this pertinent gap, this study applies the innovation resistance theory (IRT) to examine the barriers to consumer adoption intention toward slow tourism. A mixed‐method research approach with in‐depth discussions with slow travelers and a large‐scale cross‐sectional survey of 350 travelers from India is used to test the proposed model. Findings advocate that the usage and image barriers are the prime inhibitors of slow tourism adoption. As a moderator, consumers' environmental concern and an individualistic culture dampens the strength of the association between the barriers and slow tourism adoption intentions. Results present important ramifications for slow tourism marketers and researchers.

Impact of Consumer and FinTech Characteristics on FinTech Resistance: A Study from User Perspective

The study's objectives are to identify the characteristics of customers and FinTech apps that resist using FinTech services in the era of technology. Consumer characteristics studied in this study were consumer-perceived digital self-efficacy and consumer-perceived digital knowledge. FinTech characteristics were perceived digital security concerns and perceived digital complexity. Moreover, the research aimed to determine if consumers' techno-stress moderates the relationship between consumer characteristics and their resistance to FinTech. The model was supported by innovation resistance theory. Convenience sampling was used to gather data from 384 bank account holders from Rawalpindi and Islamabad. Adapted questionnaires with five-point Likert scales for each variable were used. Results indicated that all consumer characteristics have a negative and significant relationship with FinTech resistance. However, among FinTech characteristics, only perceived digital complexity positively influenced FinTech resistance, and the impact of perceived digital complexity was not found on FinTech resistance. The moderating role of techno-stress among all consumer characteristics and FinTech resistance was supported. The Moderating role of techno-stress was supported between FinTech characteristics i.e. perceived digital security and FinTech resistance but not supported between perceived digital concern and FinTech resistance. The findings suggest that educational initiatives, such as workshops, seminars, and online resources, can empower users with knowledge about FinTech solutions, thereby reducing perceived risk and resistance. Regular app reviews will help the organization adapt to evolving challenges and best practices in FinTech adoption.

Tourist Motivations to Adopt Sustainable Smart Hospitality: An Innovation Resistance Theory Perspective

This study aimed to assess the neglected conceptualization of smartness in the context of tourism and its probable consequences. Specifically, this study focused on investigating the relationships between sustainable smartness, usage barriers, value barriers, risk barriers, traditional barriers, image barriers, and tourists’ behavioral intentions regarding their stay in smart hotels. The conceptual model of this study is constructed based on innovation resistance theory. By engaging structural equation modeling (SEM) in Smart-PLS 3.2.8, we calculated data from 672 valid respondents. The findings demonstrate that smartness significantly affects usage, value, risk, and traditional and image barriers. Furthermore, we unearthed a significant effect of all barriers on tourists’ behavioral intentions.

Investigating the role of fiqh zakat knowledge in moderating the behaviour of the Acehnese to pay zakat digitally

Purpose The purpose of this study is to develop and assess the effects of unified theory of acceptance and use of technology (UTAUT 2) constructs – effort expectancy (EE), social influence (SI) and hedonic motivation (HM) – on behavioural intention (BI), as well as the impact of innovation resistance theory (IRT) constructs – usage barrier (UB) and tradition barrier (TB) – on innovation resistance (IR) behavior in the context of digital zakat payment in Aceh. In addition, this study also examines how knowledge of fiqh zakat influences both BI and IR. Design/methodology/approach This was a quantitative study including 350 Acehnese persons who paid zakat online. This research used a Likert scale, and the sampling technique was purposive sampling applied for the Acehnese people. The research respondents were civil servants, private employees, BUMN employees (employees of State-Owned Enterprises), merchants, restaurant owners, professionals and other occupations who had paid professional zakat through a digital system mechanism. The data were analysed using partial least squares structural equation modelling. Findings This research found that the constructs built through the theory of UTAUT 2 explained the position of the EE variable, which had a significant effect on BI. On the other hand, the variable of SI and HM did not significantly affect BI in digital zakat payment. This finding demonstrated that BI significantly influenced actual usage (AU). UB and TB had no impact on IR, according to the theoretical framework developed by IRT. Yet, the knowledge about the fiqh zakat (KFZ) significantly affected the AU. In terms of the moderation role, the KFZ variable moderated the relationship between BI and AU. However, the KFZ variable did not moderate the relationship between IR and AU. Research limitations/implications This research had limitations and could still be investigated further by involving a larger sample. This study does not include all UTAUT 2 and IRT constructs, but only involves UTAUT 2 and IRT constructs based on the phenomenon of digital zakat paying behavior in the people of Aceh. Practical implications This research had a managerial contribution and an evaluation of the use of digital zakat collection services in Aceh and zakat management institutions in various countries. The existence of significant EE should be a reference for zakat institutions to produce continuous payment applications with a higher level of convenience in the future. In addition, the government should encourage more organised fiqh zakat education in society to plan a more optimal zakat collection. The reason for this is that KFZ has been shown to moderate zakat intentions towards actual digital zakat payment behaviour. Social implications The results of this study were then accommodated by the government to design a digital zakat collection system so that it resulted in optimising the collected zakat funds. The greater the zakat funds collected, the greater the economic impact and social resilience of the community was in the midst of the post-covid and global crisis. Originality/value This research provided an essential value in the aspect of collecting zakat funds, especially in the study of the behaviour of paying zakat digitally. The theory of planned behaviour predominated in earlier studies that investigated zakat-paying behaviour. Yet, this research was even more focused as it used the constructs of UTAUT 2 and IRT theory and applied the involvement of a moderator variable like fiqh zakat knowledge that was barely discussed.

A literature review on the drivers and barriers of organic food consumption in China

Research interest in organic food consumption has increased significantly worldwide, but a systematic analysis of this phenomenon in China is still lacking. The existing studies in this area are wide-ranging and fragmented, and there is a lack of comprehensive research into the drivers and barriers specific to the Chinese context. Based on a literature review of 26 articles spanning from 2011 to 2021, this article employs the consumption values theory and the innovation resistance theory to discern patterns on the drivers and barriers of organic food consumption in China. The findings show that the most explored drivers include the functional values of healthiness and safety. Within the social value realm, environmental concern and symbolic value emerge as important influences on Chinese consumers. Conditional values shed light on factors such as perceived healthiness and certification/organic labeling. Regarding barriers, an aspect of research less analyzed, the article finds key obstacles being price sensitivity, perceived uncertainty, lack of knowledge or information, lack of reliability, and lack of availability or visibility.

Exploring The Factors Influencing the Adoption of ChatGPT in Educational Institutions: Insights from Innovation Resistance Theory

Exploring The Factors Influencing the Adoption of ChatGPT in Educational Institutions: Insights from Innovation Resistance Theory

핀테크 이용자의 통합기술수용요인과 사용자특성이 지속사용의도에 미치는 영향

Purpose: The purpose of this paper is to examine the effects of Effort Expectancy, Performance Expectancy, Social Influence, and Facilitation Condition on Continuance Intention through Innovation Resistance and Trust, based on the Unified Theory of Acceptance and Use of Technology among FinTech users. Research design, data, and methodology: The data for this study were collected through surveys distributed to employees of related companies in the Busan-Ulsan-Gyeongnam region, with 300 questionnaires distributed and 289 retrieved. After excluding 22 questionnaires due to insincere responses or missing data, a total of 267 valid questionnaires were used for statistical analysis. The analysis involved ensuring the normality of variables through descriptive statistics, verifying reliability with Cronbach's alpha values, confirming validity through exploratory factor analysis, and testing hypotheses with structural equation modeling. Results: The impact of Effort Expectancy on Innovation Resistance was rejected, while the impact of Performance Expectancy on Innovation Resistance was accepted. The effects of Social Influence on Innovation Resistance and Facilitation Condition on Innovation Resistance were both rejected. The impact of Effort Expectancy on Trust and the impact of Performance Expectancy on Trust were accepted. The effects of Social Influence on Trust were rejected, but the impact of Facilitation Condition on Trust was accepted. The influence of Innovation Resistance on Continuance Intention was rejected, while the impact of Trust on Continuance Intention was accepted. Implications: By analyzing the causes and effects of Innovation Resistance to FinTech services, this study presents a model for predicting Innovation Resistance that can be applied to various FinTech services. This is crucial for minimizing resistance and enhancing acceptance during the development of new FinTech services, providing a foundation for effective recommendations and marketing strategies for contact-less services based on the results of this study.

Examining the Impact of Resistance to Innovation on New Product Adoption Behavior: The Role of Purchase Intention

Innovation resistance is an emerging area of research in marketing. Despite the high rate of market introduction failures that businesses encounter, there is surprisingly little research into a key cause of these failures: the resistance of customers to innovation. This study explores the complex relationship between resistance to innovation, purchase intention, and new product adoption behavior. The conceptual framework was inspired by various theories, such as Kotler's Decision-Making Process, Innovation Resistance Theory and Theory of Planned Behavior (TPB). Through a descriptive research approach utilizing an online survey, the study examines how Resistance to Innovation influences various aspects of New Product Adoption Behavior such as New product Buying Behavior, New Product Information Searching Behavior in the lens of New Product Purchase Intention. This research uses SPSS 26.0 software to analyse the survey data. As expected, resistance to innovation exerts some influence on new product purchase intention. Purchase intention is found to partially mediate the relationship between resistance to innovation and new product adoption behavior.

Neobank adoption: integrating the information systems effectiveness framework with the innovation resistance model

PurposeThis study aims to integrate Delone and McLean’s information system success (DMISS) model with the innovation resistance model to evaluate the relationship between behavioural intention to use (BIU) and innovation resistance in the context of neo-banking. The primary objective of this study is to identify the drivers of neo-banking adoption and the barriers to its adoption and incorporate constructs such as e-trust (ETR) and personal innovativeness (PIV) to provide a more comprehensive understanding of the factors influencing neo-banking adoption.Design/methodology/approachA structured survey-based questionnaire was used to gather data from a diverse sample population in India. The Partial Least Squares Structural Equation Modeling (PLS-SEM) model was employed to further examine the adoption of neobanking services and users' intention to use neobanking services.FindingsThis study reveals a significant correlation between BIU and the uptake of neobanking services, demonstrating the value of consumers' readiness to embrace these offerings. However, resistance to usage has emerged as a major obstacle for consumers concerned about data security, technology reluctance and perceived risks associated with digital-only neobanks.Research limitations/implicationsAnalysing the driving and restraining factors will provide substantial information on the formation of consumers' decision-making processes in the Indian banking industry, which is undergoing rapid digital transformation. This information is of great importance to scholars, practitioners and policymakers, as it highlights the factors that may facilitate or impede the adoption of neobanking in India. The outcomes of this analysis will be of particular interest to researchers, experts and stakeholders in the field as they will provide valuable insights into the dynamics of consumer behaviour in the Indian banking sector.Originality/valueThis study represents an initial effort to examine BIUs and usage resistance within the rapidly developing neobanking sector in India. The findings of this study build on the existing research in this area and contribute to the ongoing discussion on the adoption of neo-banking.

Understand resist use online customer service chatbot: an integrated innovation resist theory and negative emotion perspective

PurposeThe rise of artificial intelligence (AI) applications has driven enterprises to provide many intelligent services to consumers. For instance, customers can use chatbots to make relevant inquiries and seek solutions to their problems. Despite the development of customer service chatbots years ago, they require significant improvements for market recognition. Many customers have reported negative experiences with customer service chatbots, contributing to resistance toward their use. Therefore, this study adopts the innovation resistance theory (IRT) perspective to understand customers’ resistance to using chatbots. It aims to integrate customers’ negative emotions into a predictive behavior model and examine users’ functional and psychological barriers.Design/methodology/approachIn this study, we collected data from 419 valid individuals and used structural equation modeling to analyze the relationships between resistance factors and negative emotions.FindingsThe results confirmed that barrier factors affect negative emotions and amplify chatbot resistance influence. We discovered that value and risk barriers directly influence consumer use. Moreover, both functional and psychological barriers positively impact negative emotions.Originality/valueThis study adopts the innovation resistance theory perspective to understand customer resistance to using chatbots, integrates customer negative emotions to construct a predictive behavior model and explores users’ functional and psychological barriers. It can help in developing online customer service chatbots for e-commerce.