Search results

Based on the literature on technology readiness, online learning readiness, and mobile computer anxiety, the purpose of this paper is to develop and validate a mobile learning readiness (MLR) scale which can be used to assess individuals’ readiness to embrace m-learning systems.

Based on previous literature, this study conceptualizes the construct of MLR and generates an initial 55-item MLR scale. A total of 319 responses are collected from a three-month internet-based survey. Based on the sample data, this study provides an empirical validation of the MLR construct and its underlying dimensionality, and develops a generic MLR scale with desirable psychometric properties, including reliability, content validity, criterion-related validity, convergent validity, discriminant validity, and nomological validity.

This study develops and validates a 19-item MLR scale with three dimensions (i.e. m-learning self-efficacy, optimism, and self-directed learning). A tentative norm of the MLR scale is presented, and the scale’s theoretical and practical applications are also discussed.

This study is a pioneering effort to develop and validate a MLR scale. The results of this study are helpful to researchers in building m-learning theories and to educators in assessing and promoting individuals’ acceptance of m-learning systems.

This paper aims to investigate the relationships between self-monitoring, fashion involvement and technology readiness in the mobile shopping context. Although mobile shopping is still a novel activity in Turkish economical and social spheres, it has the potential to become an important driver of B2C electronic commerce in Turkey. Many Turkish firms have already extended their multichannel strategies by integrating a mobile channel into their pre-existing on-line and off-line channels. However, customers should be ready to actually embrace mobile commerce for the success of these strategies.

To test the proposed research hypotheses, a survey was administrated online to 284 volunteer undergraduate students, who were potential users of mobile shopping channel. The measurement items were developed by adapting and modifying the previously validated 13-item, self-monitoring, 16-item technology readiness index 2.0 and 5-item fashion involvement scales.

Results from a partial least squares analysis showed that the ability to modify self-presentation has a significant moderating influence on fashion involvement and technology readiness relationships. However, the moderating effect of sensitivity to the expressive behaviours of others for the same relationship was found to be insignificant. Further, fashion involvement appeared to have significant and direct influences on both technology readiness and attitudes towards mobile shopping. Finally, strong relationships between technology readiness, attitude and intentions to use mobile shopping were detected.

There has been little research effort conducted to examine the proposed relationships between the cited research variables in a non-Western country. Therefore, these study results yielded valuable insights for both theory and actual practice.

Mobile learning is a unique form of learning which uses the distinct features of mobile devices. The purpose of this paper is to investigate the present state of student and faculty perception towards m-learning at open and distance educational institutes in Pakistan.

The paper presents a conceptual model based on TAM, which explains factors influencing student and faculty perception towards m-learning acceptance. M-learning acceptance mainly depends on personal attitude, so this study focusses on individual context. Primary data from students and faculty including tutors (n=612, students =448, faculty/tutors=162) was collected through a properly designed questionnaire by using purposive convenient sampling technique during Autumn 2015 semester. Structural equation modelling was used to analyse the collected data.

The results indicate that student and faculty skill readiness and self-efficacy influence perceived ease of use and perceived usefulness, where these two factors along with prior experience positively influence behavioural intension (BI) to accept mobile learning. Furthermore study results specifically provide factors which positively influence BI either directly or indirectly.

The study was limited to AIOU.

The study specifically provides factors which influence BI either directly or indirectly.

The purpose of this paper is to develop and test an integrated model of the modified technology readiness index (TRI) with the extended expectation-confirmation model, in the context of information technology (E-ECM-IT) to explain the adoption and the intention to continue to use mobile payment applications (apps).

Data were collected from 426 users of mobile payment apps across South Africa. A confirmatory factor analysis was performed to validate the factor structure of the measurement items while structural equation modelling was employed to validate the proposed model and testing the hypotheses.

The overall model explained 81 per cent of variance in adoption and 78.5 per cent in the intention to continue to use mobile payment services. “Drivers” were better predictors of adoption than “inhibitors” while satisfaction emerged as the strongest predictor of continuance intentions.

To the best knowledge of the authors, this study is the first to empirically test an integrated modified TRI and E-ECM-IT model to supplement the paucity of research on the topic. The results show that the integrated model provides an enhanced way to understand the factors that influence adoption and continuance intention towards mobile payment apps. The results also add to existing knowledge of mobile technology literature.

The purpose of this paper is to present an approach to incorporating mobility into continuous manufacturing following the advent of Industry 4.0 (I4.0).

The investigation is based on a year-long canonical action research into a paper-manufacturing company implementing core I4.0 technologies.

The findings show how to: classify manufacturing mobility strategy based on the dimensions of team, task and control; design business processes enabled by mobile cyber–physical resources; involve different stakeholders in modeling mobility; and create a comprehensive guide to assist in implementing the mobile digitalization required by I4.0.

Despite the complexity, richness and depth of the insights obtained in this research for mobility management in process industries, this inquiry was conducted in a single organization.

As the fourth industrial revolution encourages decentralization and increased interaction between humans and machines, this paper presents a model to capture the mobility potential in manufacturing. The tools proposed in this research can be used to steer investments in industry transformations that fuse the physical and digital worlds, overcoming mobility constraints.

Theoretically, this paper expands the concept of manufacturing mobility in I4.0. In practice, it proposes a participative roadmap to assist technology management in increasingly decentralized environments, identifying the intertwined network of cyber–physical actors, processes and services.

The purpose of this paper is to extend the technology readiness and acceptance model (TRAM) to consider an individual’s health consciousness (HC), thereby improving the capability of the model to predict an individual’s attitude toward and intention to download and use dietary and fitness apps.

A total of 994 participants completed a self-reported online questionnaire. Structural equation modeling and χ² difference testing were conducted to compare the predictive capability of the proposed health consciousness TRAM (HC-TRAM) and the TRAM. The comparison of the proposed HC-TRAM in terms of potential and actual users of dietary and fitness apps was also discussed.

The results obtained from the HC-TRAM and the TRAM indicate that in addition to technology readiness, HC exerts a positive effect on the perceived ease of use and usefulness of dietary and fitness apps. χ² difference test results indicated that the predictive capability of the proposed HC-TRAM is higher than that of the TRAM.

The drivers and inhibitors of a person’s readiness to embrace modern information technology play roles when predicting his or her intention to download and use dietary and fitness apps. HC should be promoted by encouraging people to eat right and regularly perform appropriate exercise to prevent obesity and overweight, thereby maintaining a healthy lifestyle.

This study incorporated individual cognitive factors and HC into the TRAM to fill the literature gap and deepen and broaden existing theoretical frameworks of the TRAM in the public health sector.

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

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

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

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

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

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

The purpose of this paper is to identify factors influencing the adoption of mobile banking in India and develop and empirically validate a model explaining the behavioural intention to use mobile banking in the Indian banking sector.

In this study, a model is developed and proposed to explain customers’ intention to use mobile banking. The model comprises six constructs, namely, perceived ease of use, computer self-efficacy, social influence, perceived financial cost, security, and trust. The model also describes the relationship between perceived ease of use and computer self-efficacy, as well as that between security and trust. The proposed model was tested by using a survey method, with a sample of 855 bank customers from public, private, foreign, and cooperative banks in India. Structural equation modelling analysis was performed with AMOS 16.0.

The proposed theoretical model was found to predict, with statistical significance, the intention to use mobile banking, explaining 76.9 per cent of the variance in the dependent variable. The results found that security, computer self-efficacy, perceived ease of use, and perceived financial cost, in that order of influence, affect customers’ intention to adopt mobile banking.

The results obtained will help both academic researchers and practitioners explain, understand, and elucidate the status of mobile banking in India, as well as helping them formulate strategies to expedite the use of mobile banking.

The adoption of mobile banking in India is in a nascent stage compared with developed countries such as the USA, the UK, and Finland, but it is expected to increase or surpass the rate of adoption of internet banking in those countries. Further, only limited research to date has examined the adoption of mobile banking in India, especially the drivers and inhibitors of mobile banking adoption.

This study aims to investigate the factors affecting (i.e. determinants) the continuance of mobile learning adoption in an informal setting among higher education learners from a rural region in the Philippines. It assesses the extent of the determinants of mobile learning adoption continuance and their interrelationships and the role of a personality trait (e.g. locus of control) on its determinants.

This study used a rigorous literature review method that led to a mobile learning adoption continuance model. This proposed model analyzed the perceptions of higher education learners’ experiences on mobile learning adoption during the COVID-19 pandemic (i.e. informal setting). The data collection was self-administered using an online survey from a convenience sample size of 434 using adapted questionnaire instruments. The study used factor analysis by using a structural package for social sciences (SPSS) and analysis of the moment of the structure. The effect sizes of the direct effect, simple and serial mediation and interaction effects in a path model were analyzed by using user-defined estimand and orthogonalized approaches.

The findings indicate that the effect of perceived security risks along with perceived functional benefit and learner value affect the mobile learning adoption continuance. The perceived learner value mediates the perceived functional benefit relationship on mobile learning adoption continuance. Perceived security risk indirectly affects mobile learning adoption continuance through perceived functional benefit and learner value. In addition to this, the internal locus of control strengthens the positive relationship between perceived functional benefit and mobile learning adoption continuance. However, it dampens the positive relationship of perceived learner value.

The study provides an essential foundation on the mobile learning adoption model that focuses on its continuance. This model integrated perceived security risks, functional benefits and learner value aspects of continuance intention that higher education institutions may consider in their mobile learning initiative. It further provides evidence to intensify the important moderating role of locus of control that intervenes on the determinants of mobile learning adoption continuance.