Personal Innovativeness In Information Technology Research Articles

Marketing analytics acceptance: using the UTAUT, perceived trust, personal innovativeness in information technology and user attitude

Purpose The use of innovative technologies by firm employees is a key factor in ensuring the competitiveness of firms. However, researchers and practitioners have been concerned about the willingness of technology end users to use innovative technologies. This study, therefore, aims to determine the factors affecting the intention to use marketing analytics technology. Design/methodology/approach This study surveyed 213 firm employees. The quantitative data collected was analysed using partial least squares structural equation modelling. Findings The results reveal that performance expectancy, facilitating conditions, attitudes and perceived trust have a positive and significant effect on intentions to use marketing analytics. Effort expectancy, social influence and personal innovativeness in information technology were found not to predict intentions to use marketing analytics. Practical implications This study has practical implications for firms seeking to enhance the use of marketing analytics technology in developing countries. Originality/value This study contributes to the use of UTAUT, perceived trust, personal innovativeness and user attitude in predicting the intentions to use marketing analytics technology.

Determinant Factors of Personal Innovativeness in Information Technology of Ride-Hailing New Brand: The Role of Gender

The objective of this study is to examine the influence of electronic word of mouth (E-WOM), social influence (SI), and perceived system and service quality (PSSQ) on personal innovativeness in information technology (PIIT) with respect to the adoption of a novel ride-hailing application brand. The research object selected for this study is the MAXIM and InDriver application, which represents a new brand in the market. The present study employed a questionnaire-based survey to gather data from a sample of 553 individuals who identified as users of either MAXIM or InDriver and who belong to the Z generation. The study employed the use of structural equation modeling (SEM) techniques, specifically utilizing the SMART-PLS software version 3. The findings of the study indicate that electronic word-of-mouth (E-WOM), social influence, and perceived system and service quality have a positive impact on an individual's inclination to adopt a new brand of ride-hailing application. . Furthermore, the findings indicate that gender impacts the propensity to adopt a new brand of ride-hailing application, with men exhibiting a greater inclination towards innovative experimentation than women.

New Brand Ride-Hailing Apps Continuance Intention of Gen Z: the Role of Personal Innovativeness in Information Technology

The tight competition in the ride-hailing service industry has made Super App digital companies in Indonesia vie to attract public interest to become their regular customers. As new players, Super App Maxim and/or InDriver companies need insight into what factors can make their applications accepted by Generation Z as the largest consumers in Indonesia. So, this study aims to investigate the role of performance and expectations of effort and social influence on continuing intentions to use new online transportation applications through the mediating role of personal innovation in information technology (PIIT). This study used the SEM technique with the SMART PLS 3.3.0 application, with 553 respondents using Maxim and/or InDriver. The study results show that performance, effort expectations, and social influence significantly affect the intention to use online transportation applications. Expected effort is the most significant factor affecting PIIT and intention to continue, followed by social influence and performance expectations.
 Keywords: Continuance Intentions; Generation Z; Personal Innovativeness In Information Technology; Ride-Hailing Apps, UTAUT

Adoption of M-learning apps: A sequential mediation analysis and the moderating role of personal innovativeness in information technology

Within the emerging context of the digitization of the education industry, mobile learning terminals constitute a significant advance in how information is communicated. Previous studies revealed that the influence mechanism proposed by TAM could be extended with other determinants. The impacts of privacy concerns, personal innovativeness in information technology, and conditional process analyses have been underexplored.The primary aim of this study is to examine factors influencing the students’ intentions to continue using mobile learning Apps in the academic context. A further objective is to identify the mediating and moderating mechanisms underlying the relationships between continuance intention and its antecedents.The purposive questionnaire was conducted among college students through an online survey, with 293 valid respondents. The quantitative methods through regression analyses and Maximum Likelihood Method Structural Equation Modeling (SEM) were employed to assess the proposed models and perform data analyses. The results confirm that the determinants of college students' continuance intention toward M-learning Apps are perceived ease of use (PEU), perceived usefulness (PU), students' perceived satisfaction (SAT), personal innovativeness in information technology (PIIT), and privacy concerns (PC), which together explain 63.4% of the variance of continuance intention (CI). Specifically, privacy concerns impose a weakly negative effect on students' continuance intention, with a coefficient of −0.093. This study also verifies that perceived ease of use on continuance intention was mediated by perceived usefulness and students' satisfaction. It includes a serial mediation as the effect of perceived ease of use on satisfaction flowed through perceived usefulness, where students' satisfaction mediated the impact of perceived usefulness on continuance intention. The total effects of perceived ease of use on continuance intention are 0.633. In addition, the students' perceived satisfaction is marginally moderated by personal innovativeness in information technology, affirming PIIT imposed a quadratic impact on college students’ continuance intention toward M-learning Apps.The study provides valuable insights for educational institutions and educational M-learning software companies on how to utilize M-learning Apps to motivate college students to learn more efficiently and increase students’ engagement with instructors.

The effects of social conformity and gender on drivers’ behavioural intention towards level-3 automated vehicles

Automated driving technology is considered a disruptive innovation. Mixed traffic composed of level-3 automated vehicles (L3 AVs) and non-AVs will exist long before fully automated driving arrives. During this transition, drivers will be the first to use L3 AVs, so studying drivers’ behavioural intentions to use L3 AVs is vital. This paper focuses on the influence of social conformity and gender on drivers’ intentions to drive L3 AVs. Three hundred one participants completed an online questionnaire containing 1) demographic information, 2) a scale based on the Theory of Planned Behaviour (TPB) under two scenarios (large-group scenario: 80% of drivers are driving AVs in the road, small-group scenario: 20% of drivers are driving AVs in the road), and 3) a scale measuring conformity tendency and personal innovativeness in information technology. In the large-group scenario, drivers have stronger intentions to drive L3 AVs, and there is no significant gender difference. In the small-group scenario, the male drivers’ driving intentions were significantly higher than those of the female drivers. The predictive model based on the TPB explained 81.1% and 64.8% of the variance in driving intention in the two scenarios, respectively. The three traditional variables (attitude, subjective norm, perceived behaviour control) of the TPB appeared to be the main predictors for the model. The results of this study provide some practical implications for manufacturers of AVs.

Factors Influencing Behavioural Intention to Adopt the QR-Code Payment

This study aims to identify the factors which affect the consumers’ behavioural intention to adopt the Quick response code (QR-code) mobile payment. This study extends the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) with the personal innovativeness construct. This study reveals that performance expectancy, social influence, habit, price value, and personal innovativeness in information technology are significantly related to behavioural intention to adopt QR-code mobile payment. However, effort expectancy, facilitating conditions, and hedonic motivation are found to be statistically insignificant. This study presents one of the few empirical works investigating the role of consumer innovativeness and thus validates the inclusion of personal innovativeness as constructed in mobile payment adoption research. Findings from this study provide valuable insights for mobile payment application developers and mobile payment marketing teams.

FACTORS AFFECTING THE ADOPTION INTENTION MOBILE PAYMENT OF OVO IN SURABAYA

Background: Provide an adequate background covering the literature review and the gap of the research with other relevant former research works.
 Aim: This study aims to determine the Factors Affecting Adoption Intention to OVO Mobile Payment Users in Surabaya.
 Method: This type of research is basic business research using a quantitative approach with data analysis in the form of SEM (Structural Equation Model). Management of data in this study using AMOS 22.0 for windows which are used in testing the Measurement Model (Outer Model) and Structural Model (Inner Model). The sampling technique used is 300 respondents with the last education of SMK/SMA and have used m-payment OVO in the last 6 months and who are domiciled in Surabaya.
 Findings: The results showed that Perceived Transaction Convenience (PCT), Compatibility (COM), Relative Advantage (RA), Government Support (GS), Additional Value (AV), Perceived Risk (PSR), Absorptive Capacity (AC), Affinity (AFFI), and Personal Innovativeness in Information Technology (PIIT) is proven to have a significant effect on Adaptation Intention (AI). In addition, Social Influence (SI) has been shown to have non-significant results on the Adaptation Intention (AI) of OVO mobile payment users in Surabaya.

Who Uses Virtual Wardrobes? Investigating the Role of Consumer Traits in the Intention to Adopt Virtual Wardrobes

Over-consumption by consumers is a significant challenge to sustainability. Technology, such as that of virtual wardrobes, can suggest options that may reduce excessive consumption. A virtual wardrobe is a service that allows users to create and manage their wardrobes digitally. It also helps users to realize what they have in their wardrobes and can recommend appropriate styles of clothing for the users based on an analysis of the wardrobe. From the perspective of consumer characteristics, this research investigates what motivates consumers to adopt and use virtual wardrobes and proposes marketing strategies for addressing these behaviors. Fishbein’s attitude theory was used as a theoretical framework. By surveying 265 U.S. college students and using structural equation modeling analysis, the study shows that consumers’ socially responsible consumption behavior and personal innovativeness in information technology positively affect their attitude toward virtual wardrobes, which, in turn, increases their intention to use virtual wardrobes. However, their personal shopping value and fashion involvement have no significant impacts on consumers’ attitudes toward virtual wardrobes. The findings indicate that marketers of virtual wardrobes should highlight social responsibility and technological innovation in product and service promotions. By gaining insight into their wardrobes, consumers can be more strategic about clothing consumption, use, and disposal.

Who Likes Artificial Intelligence? Personality Predictors of Attitudes toward Artificial Intelligence

We examined how individuals’ personality relates to various attitudes toward artificial intelligence (AI). Attitudes were organized into two dimensions of affective components (positive and negative emotions) and two dimensions of cognitive components (sociality and functionality). For personality, we focused on the Big Five personality traits (extraversion, agreeableness, conscientiousness, neuroticism, openness) and personal innovativeness in information technology. Based on a survey of 1,530 South Korean adults, we found that extraversion was related to negative emotions and low functionality. Agreeableness was associated with both positive and negative emotions, and it was positively associated with sociality and functionality. Conscientiousness was negatively related to negative emotions, and it was associated with high functionality, but also with low sociality. Neuroticism was related to negative emotions, but also to high sociality. Openness was positively linked to functionality, but did not predict other attitudes when other proximal predictors were included (e.g. prior use, personal innovativeness). Personal innovativeness in information technology consistently showed positive attitudes toward AI across all four dimensions. These findings provide mixed support for our hypotheses, and we discuss specific implications for future research and practice.

Factors Influencing Behavioural Intention to Adopt the QR-Code Payment

This study aims to identify the factors which affect the consumers’ behavioural intention to adopt the Quick response code (QR-code) mobile payment. This study extends the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) with the personal innovativeness construct. This study reveals that performance expectancy, social influence, habit, price value, and personal innovativeness in information technology are significantly related to behavioural intention to adopt QR-code mobile payment. However, effort expectancy, facilitating conditions, and hedonic motivation are found to be statistically insignificant. This study presents one of the few empirical works investigating the role of consumer innovativeness and thus validates the inclusion of personal innovativeness as constructed in mobile payment adoption research. Findings from this study provide valuable insights for mobile payment application developers and mobile payment marketing teams.

Using the UTAUT, personal innovativeness and perceived financial cost to examine student’s intention to use E-learning

PurposeThis study aims to examine the factors affecting behavioural intention to use E-learning during the COVID-19 pandemic. The study applies the unified theory of acceptance and use of technology 2 (UTAUT2) to identify the factors that predict intention to use E-learning. Also, the study examines the effect of personal innovativeness in information technology and perceived financial cost on intention to use E-learning.Design/methodology/approachThe study adopted a cross-sectional quantitative study design involving 617 university students. The data was collected through an online survey due to the COVID-19 restrictions. The proposed hypotheses were analysed using partial least squares structural equation modelling.FindingsThe study found that personal innovativeness in information technology, perceived financial cost, performance expectancy, hedonic motivation and social influence have a significant effect on the intention to use E-learning. Contrary to expectation, habits, effort expectancy and facilitating conditions did not predict intention to use E-learning.Research limitations/implicationsThe study was conducted on university students and did not include other school-going students and working professionals. Also, the study sample was not drawn from many universities. The study used a quantitative approach. The use of a mixed-methods approach could provide deeper insights into the factors affecting the intention to use E-learning in developing countries.Practical implicationsThe practical implications inform policymakers and educational institutions on how E-learning adoption can be enhanced. In this context, social influence, performance expectancy, hedonic motivation, personal innovativeness and perceived financial cost are identified as predictors of intention to use E-learning. This study has implications for the development of E-learning systems and the promotion of the use of E-learning in the context of developing countries.Originality/valueThe study is amongst the few studies from a developing economy to use the UTAUT2 model to examine students’ intention to use E-learning. The study proposes the inclusion of personal innovativeness in information technology and perceived financial cost as factors predicting intention to use E-learning. Again, the study adopts importance-performance matrix analysis to provide decisional areas where management may improve for successful E-learning acceptance and use.

Assessing the Adoption of e-Health Technology in a Developing Country: An Extension of the UTAUT Model

Electronic healthcare services are becoming an increasingly essential form of information and communication technology (ICT) that enables the fast and smooth delivery of health care, specifically in countries with scarce resources such as Pakistan. A better understanding of factors contributing to the adoption of electronic health care is needed, yet this remains an under-researched phenomenon. Grounded in the united theory of acceptance and use of technology, this article attempts to fill the gap by proposing and empirically testing the contribution of trust, privacy, task-technology fit, and personal innovativeness of patients’ intentions to adopt electronic health technology. A survey questionnaire was used to collect data from 353 patients in major hospitals in Islamabad, Pakistan. This study used Partial Least Square Structural Equation Modeling for the analysis. Results indicate that the intention to adopt electronic health technology is determined mostly by effort expectancy, social influence, facilitating conditions, task-technology fit, trust, privacy, and personal innovativeness in information technology. The study concludes with several managerial implications and future research directions, which give further opportunities to researchers and practitioners in the field of e-health technology.

Technology acceptance and critical mass: Development of a consolidated model to explain the actual use of mobile health care communication tools

ObjectiveSecure mobile communication technologies are being implemented at an increasing rate across health care organizations, though providers’ use of these tools can remain limited by a perceived lack of other users to communicate with. Enabling acceptance and driving provider utilization of these tools throughout an organization requires attention to the interplay between perceived peer usage (i.e. perceived critical mass) and local user needs within the social context of the care team (e.g. inpatient nursing access to the mobile app). To explain these influences, we developed and tested a consolidated model that shows how mobile health care communication technology acceptance and utilization are influenced by the moderating effects of social context on perceptions about the technology. MethodsThe theoretical model and questionnaire were derived from selected technology acceptance models and frameworks. Survey respondents (n = 1254) completed items measuring perceived critical mass, perceived usefulness, perceived ease of use, personal innovativeness in information technology, behavioral intent, and actual use of a recently implemented secure mobile communication tool. Actual use was additionally measured by logged usage data. Use group was defined as whether a hospital’s nurses had access to the tool (expanded use group) or not (limited use group). ResultsThe model accounted for 61% and 72% of the variance in intent to use the communication tool in the limited and expanded use groups, respectively, which in turn accounted for 53% and 33% of actual use. The total effects coefficient of perceived critical mass on behavioral intent was 0.57 in the limited use group (95% CI 0.51–0.63) and 0.70 in the expanded use group (95% CI 0.61–0.80). ConclusionOur model fit the data well and explained the majority of variance in acceptance of the tool amongst participants. The overall influence of perceived critical mass on intent to use the tool was similarly large in both groups. However, the strength of multiple model pathways varied unexpectedly by use group, suggesting that combining sociotechnical moderators with traditional technology acceptance models may produce greater insights than traditional technology acceptance models alone. Practically, our results suggest that healthcare institutions can drive acceptance by promoting the recruitment of early adopters though liberal access policies and making these users and the technology highly visible to others.

The impact of information technology culture and personal innovativeness in information technology on digital entrepreneurship success

PurposeVery little or no study has explored the predictors of behaviour and traits that determine digital entrepreneurship (DE) success. In response, the purpose of this paper is to present a research model that takes information technology (IT) culture as a theoretical lens and personal innovativeness and experience in IT projects as theoretical constructs to predict behaviour and traits that explain DE success.Design/methodology/approachBased on the literature review, the authors propose hypotheses and a research model. The authors tested the model using structural equation modelling (SEM), by surveying a sample of digital entrepreneurs operating in the Yabacon Valley, Lagos, Nigeria.FindingsThe results indicate that IT culture is an essential predictor of achieving DE success. The results also suggest that an entrepreneur's innovativeness in IT and experience in IT projects have significant negative and positive moderating effects on the relationship between IT culture and achieving DE success.Research limitations/implicationsThis paper taps into a new setting – DE context – by exploring the moderation effects of an entrepreneur's innovativeness in IT and experience in IT projects on the link between their IT culture and achieving a successful DE outcome.Practical implicationsThis model offers managers an understanding of how IT culture and personal innovativeness and experience in IT work together to achieve DE success. Meanwhile, it sheds some light on managers to treat individuals with different levels of experience differently.Originality/valueThe authors theorise IT culture, personal innovativeness and experience in IT and show their effects on DE success, thus making an essential contribution to the information systems (ISs) and entrepreneurship research and practice. Moreover, the authors provide a novel methodology to conceptualise IT culture as a second-order hierarchical reflective construct by giving evidence that partial least squares (PLS) path modelling can assess a hierarchical model with moderating effects. This study answers scholars' call to construct more accurate explanations of innovation outcomes in an increasingly digital world.

Smartphone Addiction and Conflict: An Incentive-Sensitisation Perspective of Addiction for Information Systems

ABSTRACT This study seeks to develop and test a theory-driven model of technology addiction within the context of smartphone use. Drawing on incentive-sensitisation theory, we proposed a nomological network that centres on a second-order factor of smartphone addiction from a psychological perspective. We empirically evaluated the proposed model against longitudinal data collected from 441 smartphone users. Our analysis from structural equation modelling indicates that our two-factor measurement of smartphone addiction (heightened desire and mobile social interaction) is a parsimonious alternative to the four-factor model. In addition, our findings suggest that addiction and its negative consequences differ in their effects on subsequent perceptions, such as perceived usefulness and perceived enjoyment. We also found that personal innovativeness in information technology and a perception of loneliness explain a large amount of variation in smartphone addiction. Overall, the present study significantly contributes to the information systems literature by offering a refined model of smartphone addiction that effectively describes pathological smartphone use while correcting critical biases in existing models.

Application of innovation diffusion theory to the E-learning process: higher education context

This empirical study aims to identify the factors influencing the use of Moodle as a Learning Management Systems (LMS) in the academic context. To fulfil this objective, a quantitative study was carried out through a questionnaire directed to Portuguese university students, which obtained a total of 631 valid answers. The results obtained, based on structural equation modelling, show that the characteristics of Moodle LMS, proposed by Innovation Diffusion Theory and Personal Innovativeness in Information Technology influence the use of this tool positively. This research contributes to advancing the literature on this subject, and for practice the importance of elaborating student-centred LMS is highlighted. These and other implications and suggestions for future research are also presented.

Investigating factors influencing the physicians’ adoption of electronic health record (EHR) in healthcare system of Bangladesh: An empirical study

Electronic Health Record (EHR) can promote awareness or knowledge about healthcare among patients and healthcare professionals to improve collaboration between different governmental bodies, and enhance healthcare quality. The aim of the study is to identify the critical farctors affecting the physicians’ adoption of EHR in healthcare system of Bangladesh by extending the Unified Theory of Acceptance and Use of Technology (UTAUT) to include Personal Innovativeness in Information Technology and Resistance to Change. A cross-sectional survey questionnaire was used to collect data from 300 participants in different private and public hospitals in Dhaka, the capital city of Bangladesh. The study used partial least square (PLS) method, a statistical analysis technique based on the structural equation modeling (SEM), to analyze the collected data. The results of the study determined that Social Influence (β = 0.19, P < 0.05), Facilitating Conditions (β = 0.19, P < 0.05), and Personal Innovativeness in Information Technology (β = 0.19, P < 0.05) had a significant influence on physicians’ Behavioral Intention to adopt the EHR system, whereas Performance Expectancy (β = 0.08, P > 0.05), Effort Expectancy (β = -0.02, P > 0.05), and Resistance to Change (β = 0.03, P > 0.05) had no significant influence. The findings suggest that policymakers should increase the adoption of the EHR system by developing social strategies to encourage physicians to stimulate each other to use the EHR system and ensuring technical sufficiency, training to facilitate the use of the EHR system. In addition, the policymakers should identify physicians who possess a propensity to experiment with new information technologies as well as reduce existing challenges and barriers such as computers crush, poor infrastructure with erratic power supply etc. Moreover, we identify future research areas that provide scholars opportunities to push theoretical and empirical boundaries and offer further insights into the study of the EHR system.

Social Networking Sites Acceptance: The Role of Personal Innovativeness in Information Technology

Current wave of Social Networking Sites (SNS) has become a part of peoples’ daily lives. This study investigates the role of Personal Innovativeness in Information Technology (PIIT), in acceptance of SNS. The theoretical perspective of Technological Acceptance Model (TAM) and PIIT were used to explain the relationships developed in the study. This research is descriptive in nature and is based on primary data collected through self-administered questionnaires, among a sample of 216 undergraduates in Sri Lanka. Findings reconfirmed the relationships in original TAM, enabling to use TAM in SNS context. Further, PIIT significantly predicts the Perceived Ease of Use (PEOU) of SNS. However, PIIT did not moderate the relationship between Perceived Usefulness (PU) and Intention to Use (IU) SNS. Theoretical and practical implications of these findings and directions for further research are discussed.

Exploring farmers’ intentions to adopt mobile Short Message Service (SMS) for citizen science in agriculture

Understanding farmers’ intentions to use new technologies for agricultural data collection is essential in developing digital citizen science in agriculture. While more advanced technologies are available, to reach smallholder farmers simple technologies such as mobile SMS are needed. The main objective of this study was to explore the acceptance of mobile SMS technology by smallholder farmers to provide farm related information. A second objective was to assess the role of farmer’s characteristics (i.e., age and experience) in predicting farmers’ intentions to adopt mobile SMS. This study extended the unified theory of acceptance and use of technology (UTAUT2) model with constructs from trust, personal innovativeness in information technology and mastery-approach goals. The sample (N = 220) consisted of a group of smallholder farmers from three Ethiopian regions involved in a mobile SMS experiment and a control group. Structural equation modelling showed that intentions to adopt mobile SMS technology for agricultural data provision were predicted by the perceived usefulness of the technology (performance expectancy), the effort needed to use the technology (effort expectancy), the cost of using the technology (price value) and the trustworthiness of the organising body (trust; e.g., organisations behind the citizen science initiative). Multi-group analysis using farmer’s age and experience as moderator variables further revealed that performance expectancy was important for younger farmers, whereas price value was important for farmers who did not participate in a mobile SMS experiment. This study generates useful information and implications for citizen science practitioners, policy makers and mobile application developers by identifying the driving factors for farmers to adopt mobile SMS for agricultural data collection.

Understanding the determinants of mobile banking adoption: A longitudinal study in Brazil

Abstract Studies about new technologies are needed in order to better understand their adoption and the potential challenges related with their diffusion. This research was developed to analyze mobile banking use and its determinants considering a longitudinal approach. We collected data in a country where mobile banking is still in its early adoption stages: Brazil. Our sample is comprised of observations from three different periods: the first sample with data from December 2014 to January 2015; the second sample with data from May to June 2016; and the third sample with data from November to December 2017. Using a quantitative approach, we observed that mobile banking use has increased during the period. This effect was also significant in the bivariate analysis even with a control for the level of personal innovativeness in information technology (IT) among the respondents who participated in the survey. Moreover, the perception of trust, ease of use, social influence, and task characteristics related to mobile banking also have registered an increase. The main contribution of this study is related with the quantitative analysis of the effect of time in the use of mobile banking (and in some determinants of its use) in an emerging economy.