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A study of Korean service firms found that the level of information technology use is significantly related to the performance of the marketing function. Support was lacking only for the categories of “use of outside database” and “networking between mainframe computer and PCs.” In addition, the form of information technology use is significant in its contribution to the performance of the marketing function. This study supports the argument that benefits of information technology investment can be identified. Furthermore, there is evidence of a time lag in the payoffs from information technology, because the benefits of connectivity have not yet been realized.

Planning is a critical step in the process toward quality instruction and should also include consideration for what technology is appropriate for the lesson. Teacher educators must assist preservice teachers in learning this critical planning step of the instructional cycle. The purpose of this article is to present a step‐by‐step procedure to be used by preservice teachers when determining the appropriate use of technology in instruction.

Various strategies have been used by teacher educators to facilitate preservice teachers’ learning how to integrate technology. Some of these strategies are the modeling of technology integration by university instructors, the exposure to the use of technology in the classrooms during field experience, and including technology into the curriculum. In spite of these efforts, there is evidence that some teacher educators feel that preservice teachers are still not convinced of the value of integrating technology in their lessons. This article suggests that perhaps preservice teachers are still reluctant about the benefit of integrating technology because they have not been given a process for deciding which form(s) of technology should be used for what kind of instruction.

Included are charts with detailed descriptions, providing a step‐by‐step process for integrating technology into instruction. These charts demonstrate that the decision about what technology to use in a lesson is first based upon the needs of the learners and the material being taught.

This process demonstrates that technology is transparent: curriculum and the needs of learners drive the choice of technology, instead of technology being used just for technology sake.

The purpose of this study is to assess the efficiency of the technology acceptance model (TAM) to explain pre‐service teachers' intention to use technology in Turkey.

A total of 197 pre‐service teachers from a Turkish university completed a survey questionnaire measuring their responses to four constructs which explain their intention to use technology: attitude towards computer use, perceived usefulness, and perceived ease of use. A structural equation modeling (SEM) approach was employed for modeling and data analysis.

Results revealed that the TAM is an efficient model to explain the intention to use technology of Turkish pre‐service teachers. The proportion of variance explained in pre‐service teachers' intention to use technology by its antecedents was 51 percent. In addition, four out of five hypotheses were supported in this study. Overall, the data in this study provided support that the TAM is a fairly efficient model with a potential to help in understanding technology acceptance pre‐service teachers in Turkey.

The TAM is a well‐tested and validated model to explain the intention to use technology. However, information on its cross‐cultural validity is limited. This study validated the TAM on a sample of pre‐service teachers in Turkey and the results provided initial support for the cross‐cultural validity of the TAM.

This study aims to explore students' perceptions of a virtual reality simulation that enable nursing students to learn how to use a medical emergency crash cart.

The study was designed to explore how students' perceptions of ease of use and perceived usefulness from the technology acceptance model and the students' personal innovativeness in the domain of information technology explained their intentions to use the simulation. Six hypotheses were tested with a survey administered to 158 undergraduate nursing students at a midsized Southwestern university in the USA.

Data analysis based upon a structural equation modeling technique found support for all three research hypotheses based upon the technology acceptance model. Data analysis also found support for all three hypotheses drawn from the literature on personal innovativeness in the domain of information technology. Overall, the study's research model explained about 65 percent of the variance in intention to use the virtual reality simulation (R²=0.65).

This study suggests that future research should take into account the impact of an individual characteristic, personal innovativeness in the domain of information technology, in order to better predict users' intention to adopt an information technology innovation.

This study extends the knowledge of technology acceptance of a virtual reality simulation by incorporating the concept of personal innovativeness in the domain of information technology into the technology acceptance model.

Mobile health (mHealth) services are considered an important means of relieving the problems of the aging population. The efficiency of mHealth services can be enhanced by engaging more elderly users and guaranteeing their continued use. However, limited attention has been directed toward investigating elderly users' continuance intention regarding mHealth services. The purpose of this paper is to explain elderly users' continuance intention by investigating the contingent role of technology anxiety and health anxiety on affective trust and cognitive trust.

Survey data were collected from 232 elderly users to verify the research model and hypotheses based on structural equation modeling (SEM).

This study revealed that both affective and cognitive trust enhance elderly users' continuance intention regarding their use of mHealth services. Health anxiety strengthens the effect of cognitive trust but weakens the effect of affective trust with regard to continuance intention. Furthermore, technology anxiety strengthens the effect of affective trust but not the effect of cognitive trust with regard to continuance intention.

This study is one of the first to examine elderly users' continuance intention regarding mHealth services use from the perspective of affective and cognitive trust, thus enriching the extant literature on the use of mHealth services. Additionally, this study sheds light on the contingent effects of technology anxiety and health anxiety on affective and cognitive trust, which have been neglected by previous research.

The current work builds on the dual process theory of habituation and sensitization to empirically investigate theory-based mechanisms through which social media use habit influences continued social media use intentions in the context of problematic social media use (SMU).

We build on the dual process theory of habituation and sensitization and test our model with structural equation modeling technique applied to survey-based data collected from 337 social media users.

Findings suggest that SMU Habit may increase user's perceived Habituation and directly reduce user's experienced SMU related Exhaustion. Furthermore, Habituation and SMU related Exhaustion are negatively associated in a nonlinear fashion. Also, SMU Habit may promote higher level of SMU Dependency through Sensitization. Increased level of SMU Dependency is associated with increased level of SMU related Exhaustion. Thus, SMU Habit simultaneously shapes two opposing forces driving continued use decisions.

The current work can serve as a basis for developing effective interventions especially given the increase in problematic uses of IS fostered by the development of technology use habits.

Although separate strands of research independently examined the role of “pull” forces such as SMU dependency and the role of “push” forces such as SMU related Exhaustion in influencing users' inclination toward future SMU, a unified theoretical framework considering the triad of SMU Habit, “pull” and “push” forces together is yet to be offered. Deploying Habituation–Sensitization theory will shed new light on dual mechanisms through which habit drives continued use decisions in SMU context. Thus, the current work can serve as a basis for developing effective interventions given the increase in problematic uses of IS.

Research has shown that the much-anticipated technology revolution in higher education has failed to come to fruition. The arrival of ‘digital natives’ millennial students to higher education was presume to present even greater challenge concerning technology use. In light of these gaps, this research aims to capture higher education students' choice, use and preferences of technology in learning and teaching.

A paper-based questionnaire was distributed to third and fourth year students of industrial engineering and management at an engineering college in Israel. The students were asked to indicate their use of devices and technologies for learning, their frequency of use and their purpose of using.

Students extensively use a variety of technologies for learning. They prefer to use the same technologies for learning that they use in their personal lives – mainstream, commercially available technologies – rather than those offered by the institute. They perceive technology as a learning tool more than as a logistic/administrative tool, they would like technology to be more easily accessible and that it not be used as a facilitator of pedagogical change.

The results indicate that technologies intended for use in teaching should be designed similar to commercially available alternatives that are simpler to use and more appealing.

This study provides an up-to-date view of students' perceptions of technology for learning that can be used to more effectively implement teaching technologies in higher education.

In the organizational technology acceptance (TA) decision-making process, stakeholders have many divergence opinions. Sometimes, an opposing stakeholder of a decision can stop the whole process of decision-making. In such a case, consensus may take a long time followed by a high risk. The purpose of this study is twofold. First, to find the best model with the least prediction error for the simulation of the consensus process in TA decisions. Second, to investigate the time required for the consensus process to yield the TA decision in different scenarios and to propose solutions to reduce the required time in a case study.

This study uses real-world data containing 1,186 actual observations. Stakeholders are decision-maker agents, and the observations are derived from survey data and used for simulation. Data were obtained from 126 experts in the Iranian rail freight industry. Opinion dynamics theory was used for agent-based simulation of stakeholders’ behavior. The agents interacted over time and their effects on other agents’ opinions were investigated.

The results illustrate an appropriate opinion changing model, a data-gathering method and a simulation scenario for TA consensus. The suitable model was selected after examining the advantages and disadvantages of and comparing the prediction results for different models with the real database of opinions. To reduce the consensus process time, the results suggest gathering the team members and networking with some leaders as advocators. A large number of advocators with high acceptability and continuous exchanging messages with other agents can improve the acceptance rate and have the most significant impact on other stakeholders’ opinions.

To the best of the authors’ knowledge, previous studies simulate individual TA processes. However, there is a difference between the individual TA and the organizational TA. The organizational TA requires the simultaneous decision-making of different stakeholders. In this research, the organizational TA was investigated.

Much of recent academic and professional interest in exploring digital transformation and enterprise systems has focused on the technology or the organizations' external forces, leaving internal factors, in particular employees, overlooked. The purpose of this paper is to explore digital literacy of employees as an organizational affordance to capture contextual factors within which digital technologies are situated and are used.

We used the evidence-based practice for information systems approach, and undertook a systematic literature review of 30 papers coupled with brainstorming with 11 professional experts on the neglected topic of digital literacy and its assessment.

This paper draws upon affordance theory, and develops a novel framework for conceptualization of digital literacy of employees as an organizational affordance. We do this by distinguishing digital literacy at the individual level and organizational level, and by assessing digital literacy through Information/Cognitive and Social Practice/Articulation affordances.

The current paper contributes to the notion of organizational affordances by examining the effect of interactions between employee-technology through digital literacy of employees in using digital technologies. We offer a novel conceptualization of digital literacy to improve understanding of the role of employee in digital transformation and utilization of enterprise systems. Thus, our definition of digital literacy offers an extension to the recent discussions in the IS literature regarding the actualization of affordances by bringing a lens of employees into the process.

This paper operationalizes digital literacy at organizational and individual levels, and offers managers a high-level tool to assess digital literacy of their employees. By doing so, managers can achieve the fit between employees' capabilities and digital technologies that will improve affordance actualization and support their digital transformation initiatives.

The study is one of early attempts to apply and extend affordance theory on digital literacy at organizational level by not limiting the concept to the individual level. The proposed framework improves the communication among researchers and between researchers and practitioners.

This paper aims to explore patterns of business financing and adoption of blockchain technology in the agricultural industry. The adoption of blockchain technology in terms of recording, storing, validating and securing data can solve a variety of agricultural problems such as agricultural business financing. If the banking and insurance industries are connected in real-time to activity data in the agricultural industry, they can create better credit ratings and profile models. So, finally, all parties in the agricultural industry have a greater chance to get business financing from banks.

This paper uses a case study research approach with a framework of analysis of the theory of adoption of technology, organization and environment (TOE) and the theory of “mindfulness of adoption”. The case study method has advantages when verification is still questioned or the application of certain theories in practice as phenomena and contexts that occur in the field in accordance with the application of blockchain technology into a relatively new business, both technically and practically in the field.

The findings indicate that there are no barriers to the availability of blockchain technology for technology adoption. The characteristics of this technology are very suitable for solving financing and supply chain business problems in the agricultural industry. However, the adoption of blockchain technology in agriculture shows that there is complexity in the organizational context involving internal and external organizations. The number of organizations and small parties involved in the agricultural process challenges the adoption of blockchain technology as new technology. Then, the external environment of technology, especially government regulations in developing countries, is still an obstacle to the adoption of blockchain technology.

This study faces several limitations, namely, the limited case of implementation of the blockchain technology due to the novelty of technology and government regulation. So that further research related to the adoption of blockchain technology needs to be done using field data such as surveys. Research related to the connectivity of the banking industry and other financial institutions also needs to be explored further, especially in creating a data-based credit risk model of the blockchain system.

On the practical side, case studies of technology adoption and its relationship with the financing of agricultural business are still little explored so this study contributes to exploring the application of blockchain technology in the agricultural industry. The adoption of blockchain technology has an impact not only on farmers but also on all parties involved in the supply chain including banks, insurance and other financial institutions. In addition, the distributed data exchange business model using blockchain technology is a new business model in the agriculture industry.