Technology Acceptance Model 3 Research Articles

Investigating the Effective Factors on the Acceptance of Teleorthodontic Technology Based on the Technology Acceptance Model 3 (TAM3).

Health information technology is used in dentistry worldwide. Despite the limited specialized resources for providing orthodontic treatment in Iran, the need to examine the technology acceptance model (TAM) seems necessary and is a significant step in the successful acceptance of teleorthodontic technology. The present study has identified and investigated the factors affecting the acceptance of teleorthodontic technology among orthodontists based on the TAM3 with the aim of successful implementation and deployment of this technology. In this descriptive-analytical research, 300 Iranian orthodontists who were members of the Iranian Orthodontic Association were selected by census sampling. The data was gathered through a modified and accommodated questionnaire called the acceptance model 3. The validity was confirmed. Moreover, the reliability was calculated based on Cronbach's alpha, which was equal to 0.870. Multiple linear regression analysis was also utilized to investigate the relationships between dependent, independent, and mediator variables. Besides, the final model was designed by the Amos software. The results of 251 orthodontic specialists proved that subjective norm, job relevance, output quality, results in demonstrability, and job relevance on output quality could significantly affect perceived usefulness. Similarly, the perception of external control was identified to have a significant influence on perceived ease of use. On the other hand, the perceived usefulness does not play a mediating role between perception and subjective norm. Furthermore, perceived usefulness was confirmed as a mediating factor in relationship to both perceived ease of use and behavioral intention. The findings of the present study revealed valuable scientific evidence to identify and apply the key factors affecting the acceptance and use of modern teleorthodontic technology in Iran. Besides, the structure of the TAM3 was recognized as fruitful and worthwhile for predicting the acceptance of this new technology and also in identifying key effective factors.

Uncovering risk professionals' intentions to use artificial intelligence: empirical evidence from the Italian setting

PurposeThis study aims to ascertain the intentions of risk managers to use artificial intelligence in performing their tasks by examining the factors affecting their motivation.Design/methodology/approachThe study employs an integrated theoretical framework that merges the third version of the technology acceptance model 3 (TAM3) and the unified theory of acceptance and use of technology (UTAUT) based on the application of the structural equation model with partial least squares structural equation modeling (PLS-SEM) estimation on data gathered through a Likert-based questionnaire disseminated among Italian risk managers. The survey reached 782 people working as risk professionals, but only 208 provided full responses. The final response rate was 26.59%.FindingsThe findings show that social influence, perception of external control and risk perception are the main predictors of risk professionals' intention to use artificial intelligence. Moreover, performance expectancy (PE) and effort expectancy (EE) of risk professionals in relation to technology implementation and use also appear to be reasonably reliable predictors.Research limitations/implicationsThus, the study offers a precious contribution to the debate on the impact of automation and disruptive technologies in the risk management domain. It complements extant studies by tapping into cultural issues surrounding risk management and focuses on the mostly overlooked dimension of individuals.Originality/valueYet, thanks to its quite novel theoretical approach; it also extends the field of studies on artificial intelligence acceptance by offering fresh insights into the perceptions of risk professionals and valuable practical and policymaking implications.

Customer acceptance of humanoid service robots in hotels: moderating effects of service voluntariness and culture

Purpose This study aims to propose a research model integrating technology acceptance model 3 (TAM3) constructs and human aspects of humanoid service robots (HSRs), measured by the Godspeed questionnaire series and tested across two hotel properties in Japan and the USA. Design/methodology/approach Potential participants were approached randomly by email invitation. A final sample size of 395 across two hotels, one in Japan and the other in the USA, was obtained, and the data were analysed using structural equation modelling. Findings The results confirm that perceived usefulness, driven by subjective norms and output quality, and perceived ease of use, driven by perceived enjoyment and absence of anxiety, are the immediate direct determinants of users’ re-patronage intentions for HSRs. Results also showed that users prefer anthropomorphism, perceived intelligence and the safety of an HSR for reusing it. Practical implications The findings have practical implications for the hospitality industry, suggesting multiple attributes of an HSRs that managers need to consider before deploying them in their properties. Originality/value The current study proposes an integrated model determining factors that affect the re-patronage of HSRs in hotels.

Unraveling the Key Factors of Successful ERP Post Implementation in the Indonesian Construction Context

Aim/Purpose: This study aims to evaluate the success of ERP post-implementation and the factors that affect the overall success of the ERP system by integrating the Task Technology Fit (TTF) model into the Information System Success Model (ISSM). Background: Not all ERP implementations provide the expected benefits, as post-implementation challenges can include inflexible ERP systems and ongoing costs. Therefore, it is necessary to evaluate the success after ERP implementation, and this research integrates the Task Technology Fit (TTF) model into the Information System Success Model (ISSM). Methodology: For data analysis and the proposed model, the authors used SmartPLS 3 by applying the PLS-SEM test and one-tailed bootstrapping. The researchers distributed questionnaires online to 115 ERP users at a construction company in Indonesia and successfully got responses from 95 ERP users. Contribution: The results obtained will be helpful and essential for future researchers and Information System practitioners – considering the high failure rate in the use of ERP in a company, as well as the inability of organizations and companies to exploit the benefits and potential that ERP can provide fully. Findings: The results show that Perceived Usefulness, User Satisfaction, and Task-Technology Fit positively affect the Organizational Impact of ERP implementation. Recommendations for Practitioners: The findings can help policymakers and CEOs of businesses in Indonesia’s construction sector create better business strategies and use limited resources more effectively and efficiently to provide a considerably higher probability of ERP deployment. The findings of this study were also beneficial for ERP vendors and consultants. The construction of the industry has specific characteristics that ERP vendors should consider. Construction is a highly fragmented sector, with specialized segments demanding specialist technologies. Several projects also influence it. They can use them to identify and establish several alternative strategies to deal with challenges and obstacles that can arise during the installation of ERP in a firm. Vendors and consultants can supply solutions, architecture, or customization support by the standard operating criteria, implement the ERP system and train critical users. The ERP system vendors and consultants can also collaborate with experts from the construction sector to develop customized alternatives for construction companies. That would be the most outstanding solution for implementing ERP in this industry. Recommendation for Researchers: Future researchers can use this combined model to study ERP post-implementation success on organizational impact with ERP systems in other company information systems fields, especially the construction sector. Future integration of different models can be used to improve the proposed model. Integration with models that assess the level of Information System acceptance, such as Technology Acceptance Model 3 (TAM3) or Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), can be used in future research to deepen the exploration of factors that influence ERP post-implementation success in an organization. Impact on Society: This study can guide companies, particularly in the construction sector, to maintain ERP performance, conduct training for new users, and regularly survey user satisfaction to ensure the ERP system’s reliability, security, and performance are maintained and measurable. Future Research: It is increasing the sample size with a larger population at other loci (private and state-owned) that use ERP to see the factors influencing ERP post-implementation success and using mixed methods to produce a better understanding. With varied modes, it is possible to get better results by adding unique factors to the research, and future integration of other models can be used to improve the proposed model.

Analysis of Digital Legal Acceptance based on the Technology Acceptance Model 3 (TAM3)

This study aims to analyze the acceptance of the PeduliLindungi application from a public perspective using the Technology Acceptance Model (TAM) concept. The government requires the PeduliLindung application to track community activities through the Decree of the Minister of Communication and Informatics No. 171 of 2020. The Indonesian government hopes that this application records the mobility of infected patients and becomes a solution to reduce the transmission of COVID-19. However, PeduliLindungi is a new application that developed after the pandemic. Thus, the user acceptance of this app is questionable. This is a survey analysis from 102 respondents using Structural Equation Model-PLS. The results found that perceived usefulness, system failure, and social influences affect the user intent of the PeduliLindungi app while perceived ease of use is not. This app was applicable to record individual movement as virus prevention in the future. This is a contribution to theory and practice in economics and business. In theory, this research provides a new and more comprehensive view of fundamental human behaviour idea. In practice, this research is able to measure the effectiveness of government regulations in responding to an unexpected global crisisKeywords: Behavioral Intention, Technology Acceptance Model, PeduliLindungi App

Secure cloud adoption model: novel hybrid reference model

<p>This article <span>discusses research conducted to conceptualise a secure cloud adoption model. The study surveyed SMEs in the Sri Lankan information technology industry using a questionnaire to determine cloud computing adoption factors. The study used Rogers' diffusion of innovation (DOI), Tornatzky and Fleischer's technology-organization-environment (TOE) framework, Venkatesh and Bala's technology acceptance model 3 (TAM3), and Venkatesh, Thong, and Xu's Unified theory of acceptance and use of technology 2 (UTAUT2) as the theoretical foundation for evaluating the reference model. Two hundred and fifty-six key officials from information technology (IT) organisations in Sri Lanka participated in the survey. The study used quantitative data coding and analysis methods with the SPSS and AMOS softwares. The findings from previous research and existing technology adoption frameworks and models were summarised to support the secure cloud adoption model (SCAM).</span></p>

A New Dietary Self-Monitoring App to Improve Adherence to the 2019 Canada’s Food Guide: Protocol for a Feasibility Study

ObjectivesThis study aims to describe the acceptability, usability, and feasibility testing of the iCANPlate smartphone application, an innovative app that resembles the 2019 Canada's Food Guide (CFG), at the University of British Columbia in Vancouver, British Columbia.MethodsIn Part 1, the acceptability and usability of iCANPlate will be explored using a mixed-method approach. Included participants will be healthy adults (n = 10) from all over Canada with lower levels of health literacy and with the intention of changing their eating behaviours. The eligible participants will be using the app for three weeks and will be surveyed using Technology Acceptance Model-3 (TAM-3), System Usability Scale (SUS), and semi-structured interviews. In part 2, a 6-week feasibility trial will be conducted using iCANPlate versus a standard traditional dietary self-monitoring app (Cronometer Software Inc. Canada) to establish feasibility markers in data collection. Participants (n = 80) will be randomized to the intervention (iCANPlate group) and the control group (Cronometer group) in a 1:1 ratio. Participants will be included based on the same inclusion criteria in Part 1 and will be asked to record their food and beverages intakes for 6 weeks. We will also compare the efficacy of using the iCANPlate and Cronometer using the following measures: User version Mobile Application Rating Scale; SUS; TAM-3; Healthy Eating Food Index (HEFI)-2019; Healthy Eating and Weight Self-Efficacy. Quantitative data will be analysed using descriptive statistics and paired t-test and qualitative data will be analysed using thematic analysis with a deductive approach.ResultsN/AConclusionsThis study will develop and test the iCANPlate aimed to improve adherence to dietary self-monitoring in healthy adults. The results of Part 1 of the study will be used to further refine the iCANPlate before it is launched in the second part. This study will allow us to determine the iCANPlate's usefulness, feasibility, and acceptability for dietary self-monitoring in adults with lower levels of health literacy.Funding SourcesSocial Sciences and Humanities Research Council (SSHRC) and Canadian Institutes of Health Research (CIHR).

A Hybrid Integration of PLS-SEM, AHP, and FAHP Methods to Evaluate the Factors That Influence the Use of an LMS

The development of learning management systems (LMS) has an integral role to the promotion of new alternatives in relation to improve teaching and learning for universities. This study proposes the determination of the constructs that influence learning management systems adoption and use. The conceptual framework has been developed on the basis of the expansion of Technology Acceptance Model 3 (TAM3) including the constructs Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Subjective Norm (SN), Behavioral Intention (BI), Use Behavior (UB). The paper deals with the integration of the three approaches Partial Least Square-Structural Equation Model (PLS-SEM), Analytic Hierarchic Process (AHP) and Fuzzy Analytic Hierarchy Process (FAHP). PLS-SEM have determined the reliability, the validity of the constructs, and tested the model’s hypotheses. These results have been integrated into the AHP and FAHP methods, to evaluate the importance of the constructs. These results will be especially useful to enhance the higher education policies.

Exploring factors influencing the acceptance of social robots among early adopters and mass market representatives

When designing social robots, it is crucial to understand the diverse expectations of different kinds of innovation adopters. Different factors influence early adopters of innovations and mass market representatives’ perceptions of the usefulness of social robots. The first aim of the study was to test how applicable the technology acceptance model 3 (TAM3) is in the context of social robots. Participants’ acceptance of social robotics in a workplace environment in the fuzzy front-end (FFE) innovation phase of a robot development project was examined. Based on the findings for the model, we developed a reduced version of the TAM3 that is more applicable for social robots. The second objective was to analyze how early adopters’ and mass market representatives’ acceptance of social robots differs. Quantitative research methods were used. For early adopters, result demonstrability has a significant influence on perceived usefulness of social robots, while for mass market representatives, perceived enjoyment has a more significant influence on perceived usefulness. The findings indicate that users’ innovation adoption style influences the factors that users consider important in the usefulness of social robots. Robot developers should take these into account during the FFE innovation phase.

A Path Model of the Intention to Adopt Variable Rate Irrigation in Northeast Italy

Irrigated agriculture determines large blue water withdrawals, and it is considered a key intervention area to reach sustainable development objectives. Precision agriculture technologies have the potential to mitigate water resource depletion that often characterises conventional agricultural approaches. This study investigates the factors influencing farmers’ intentions to adopt variable rate irrigation (VRI) technology. The Technology Acceptance Model 3 (TAM-3) was employed as a theoretical framework to design a survey to identify the factors influencing farmers’ decision-making process when adopting VRI. Data were gathered through quantitative face-to-face interviews with a sample of 138 fruit and grapevine producers from the Northeast of Italy (Veneto, Emilia-Romagna, Trentino-Alto Adige, Friuli-Venezia Giulia). Data were analysed using partial least squares path modelling (PLS-PM). The results highlight that personal attitudes, such as perceived usefulness and subjective norm, positively influence the intention to adopt VRI. Additionally, the perceived ease of use positively affects intention, but it is moderated by subject experience.

Electronic records management systems and the competency of educational institutions: Evidence from Yemen

In the modern world, the amount of information stored in modern technology has been exponentially increasing. Access to vast amounts of information has changed how governments, institutions, organizations, and individuals conduct their business and record keeping. The increased use of cloud computing in conjunction with information and communication technologies (ICT), office automation, and digitalization has altered how electronic records are generated. Organizations should embrace this emerging environment to ensure competent operations and regulatory compliance well into the future. The absence of framework makes it difficult to implement the Electronic Records Management System (ERMS). Thus, this study proposed a framework for ERMS implementation and identified the most critical factors that are related to the ERMS characteristics and cloud characteristics. The ERMS implementation will improve Yemeni public sector educational institution competency and such implementation will be facilitated by the proposed framework. The study uses the Technology Acceptance Model 3 (TAM3) to implement a cloud Electronic Records Management System (ERMS). In addition to that, the study used a quantitative approach method and distributed questionnaires to 350 academicians and managers in the Yemeni public education sector. Variable relationships were identified using Partial Least Square-Structural Equation Modelling (PLS-SEM) through a second-order analysis method. All the identified factors were found to be essential and have a significant relationship with the behavioral intention to implement ERMS. The findings also revealed that ERMS plays a substantial and vital role in the competency of educational organizations. In other words, the study results demonstrated the importance of ERMS and Cloud dimension to ERMS implementation as well as the significant effect of ERMS implementation on public sector educational competency. These findings of the study have the potential to assist in shaping the direction of theory and empirical studies concerning the ERMS, particularly in its implementation to support the competency of educational institutions.

Technology Acceptance Model 3 in Understanding Employee’s Cloud Computing Technology

The aim of this study is to investigate the factors affecting cloud computing technology application by using technology acceptance model 3 (TAM3). The conceptual model was empirically analysed. While the experience of employees has no moderating effect on the relationship between subjective norm and perceived usefulness, the effect of perceived ease of use on perceived usefulness is moderated by experience. In other words, the higher the experience, the higher the effect of perceived ease of use on perceived usefulness. In addition, perceived ease of use, in terms of the perceived enjoyment and playfulness variables, has a mediating effect. Perceived usefulness and perceived ease of use in cloud computing have positive effect on behavioral intention. Research on cloud computing and technology acceptance model has overlooked the mediating and moderating effect of variables in TAM3, on which very little work has been done.

Acceptability and Barriers to Use of the ASMAN Provider-Facing Electronic Platform for Peripartum Care in Public Facilities in Madhya Pradesh and Rajasthan, India: A Qualitative Study Using the Technology Acceptance Model-3.

The evolving field of mobile health (mHealth) is revolutionizing collection, management, and quality of clinical data in health systems. Particularly in low- and middle-income countries (LMICs), mHealth approaches for clinical decision support and record-keeping offer numerous potential advantages over paper records and in-person training and supervision. We conducted a content analysis of qualitative in-depth interviews using the Technology Acceptance Model 3 (TAM-3) to explore perspectives of providers and health managers in Madhya Pradesh and Rajasthan, India who were using the ASMAN (Alliance for Saving Mothers and Newborns) platform, a package of mHealth technologies to support management during the peripartum period. Respondents uniformly found ASMAN easy to use and felt it improved quality of care, reduced referral rates, ensured timely referral when needed, and aided reporting requirements. The TAM-3 model captured many determinants of reported respondent use behavior, including shifting workflow and job performance. However, some barriers to ASMAN digital platform use were structural and reported more often in facilities where ASMAN use was less consistent; these affect long-term impact, sustainability, and scalability of ASMAN and similar mHealth interventions. The transitioning of the program to the government, ensuring availability of dedicated funds, human resource support, and training and integration with government health information systems will ensure the sustainability of ASMAN.

Determining Factors Affecting Nurses' Acceptance of a Care Plan System Using a Modified Technology Acceptance Model 3: Structural Equation Model With Cross-Sectional Data.

BackgroundHealth information technology is used in nursing practice worldwide, and holistic patient care planning can serve as a guide for nursing practice to ensure quality in patient-centered care. However, few studies have thoroughly analyzed users’ acceptance of care plan systems to establish individual plans.ObjectiveBased on the technology acceptance model 3 (TAM3), a user technology acceptance model was established to explore what determines the acceptance of care plan systems by users in clinical settings.MethodsCross-sectional quantitative data were obtained from 222 nurses at eight hospitals affiliated with public organizations in Taiwan. Using the modified TAM3, the collected data were employed to analyze the determinants of user acceptance of a care plan system through structural equation modeling (SEM). We also employed moderated multiple regression analysis and partial least squares–SEM to test the moderating effects.ResultsWe verified all significant effects from the use of a care plan system among bivariate patterns in the modified TAM3, except for moderating effects. Our results revealed that the determinants of perceived usefulness and perceived ease of use significantly influenced perceived usefulness and perceived ease of use, respectively. The results also indicated that nurses’ perceptions of subjective norm (path coefficient=.25, P<.001), perceived ease of use (path coefficient=.32, P<.001), and perceived usefulness (path coefficient=.31, P<.001) had significantly positive effects on their behavioral intention to use the care plan system, accounting for 69% of the total explained variance.ConclusionsBy exploring nurses’ acceptance of a care plan system, this study revealed relationships among the variables in TAM3. Our results confirm that the modified TAM3 is an innovative assessment instrument that can help managers understand nurses’ acceptance of health information technology in nursing practice to enhance the adoption of health information technology.

Technology acceptance model for Augmented Reality and Building Information Modeling integration in the construction industry

The digitalization of the construction industry has immense potential for dramatically improving the industry’s practices. Concerning current measures in construction project management, the industry is still dependent on traditional construction methods. However, the application of fully automated techniques within the construction industry has not yet been a widespread practice. Thus, this may explain why there is a slow adaption of digital growth within the construction industry and specifically in developing countries. This study is aiming to investigate the acceptance of Building Information Modeling (BIM) and Augmented Reality (AR) integration in the construction industry. To achieve this aim, Technology Acceptance Model 3 (TAM3) was utilized. The scope was narrowed down to four developing counties (Malaysia, Egypt, Saudi Arabia, and Turkey) and a questionnaire survey was developed and distributed between construction professionals in those countries for data collection purposes. Exploratory Factor Analysis (EFA) was used to develop the TAM, and a regression analysis is used to validate it. The developed TAM3 showed that users control over BIM-AR and perception of easiness of use has the highest influence on their perception of the system usefulness, which would positively affect their intention to use the system. Additionally, unlike the findings of the original TAM3, three variables of Image, Perception of External Control, and Voluntariness illustrate new relations which can be considered as a novel outcome. The outcomes of this study can be used to evaluate the acceptance of BIM-AR Integration in the construction industry context, and the developed TAM3 can be used for the development of new BIM-AR applications in developing countries as it can predict the BIM and AR users’ acceptance.

Understanding key factors affecting on hospital electronic health record (EHR) adoption.

Introduction:This study investigated the factors affecting the acceptance of hospital electronic health record (EHR) adoption by users based on Technology Acceptance Model3 (TAM3).Methods:The self-administered TAM3 questionnaire was used for data gathering. Content validity and reliability of the TAM3 questionnaire were measured. The relation between dependent, independent, and mediator variables was analyzed using multiple regression analysis.Results:The results from 224 users indicated that subjective norm, job relevance, output quality, voluntariness, computer experience have significant impacts on perceived usefulness. Also, perceptions of external control and computer anxiety were identified as having significant impacts on perceived ease of use. Perceived usefulness did not have a mediator role between result demonstrability and behavioral intention. Perceived ease of use was not found to be a mediating factor in the relationship between computer self- efficacy and behavioral intention, as well as perceived enjoyment.Conclusions:The findings of the current study, provide valuable scientific evidence for key affecting factors on hospital EHR in Iran as a developing country. Our results showed the main constructs and relationships depicted in the TAM3 were found to be applicable to assess the adoption of hospital EHR.

Factors Affecting Acceptance and Use of Educational Wikis: Using Technology Acceptance Model (3)

Background: Wikis are web-based tools and educational technologies that enable students and educators to access general and professional information and knowledge at the national and international levels. Objectives: The aim of this study was to identify factors affecting acceptance and use of educational wikis by post-graduate students of University of Tabriz using Technology Acceptance Model 3 (TAM3). Methods: This correlational study was conducted among 285 post-graduate students of University of Tabriz, who were selected through the random stratified sampling method during 2018 - 2019 academic year. For data collection, a researcher-made questionnaire with 32 items rated based on a 5-point Likert scale was used. Also, for data analysis, structural equation modeling (SEM) via smart PLS 3 and partial least squares (PLS) were used. Results: The results indicated a positive correlation between wiki’s characteristics (P = 0.001, beta = 0.50), performance expectancy (P = 0.001, beta = 0.285) and self-efficiency (P = 0.001, beta = 0.182) and students’ behavioral intention. However, there was a negative correlation between effort expectancy (P = 0.001, beta = -0.241) and behavioral intention. We did not find a significant correlation between social influence, perceived playfulness and self-management learning variables and students’ behavioral intention to use educational wikis. Conclusions: In order to provide a more effective teaching-learning environment in higher education, the use of new technological tools such as educational wikis is necessary for university students in Iran to perform classroom activities.

Identifying priority antecedents of educational data mining acceptance using importance-performance matrix analysis

Previous studies on educational data mining (EDM) acceptance were focused on antecedents that were adopted from various models and theories. However, the ways in which such antecedents became the most important tools for educational improvement have not been researched in detail. This study aims to identify the priority antecedents of EDM acceptance, particularly among undergraduate students since they are the most affected by this technology. Therefore, six antecedents with 11 variables have been formulated based on positive and negative readiness acquired from the technology readiness index (TRI). Meanwhile, cognition, emotion, internal control belief, and external control belief were obtained from the technology acceptance model 3 (TAM3). The Importance-Performance Matrix Analysis (IPMA) was used to identify priority antecedents of EDM acceptance, which was run using the SmartPLS 3.0 software. The findings revealed that perceived usefulness (PU) is the most important antecedent, followed by perceived ease of use (PEOU), and optimism (OPT). This study contributes to the literature by offering new insights on the field of EDM and extending existing knowledge on how cognition, positive readiness, negative readiness, emotion, internal control belief, and external control belief were combined for identifying priority antecedents of EDM acceptance.

An examination of the e-commerce technology drivers in the real estate industry

This study examined the factors that drive e-commerce technology adoption in the real estate industry in Qatar using the Technology Acceptance Model 3 (TAM3) and sought to analyze the relationship between perceived usefulness, perceived ease of use, anchor factors, adjustment factors and cognitive instrumental variables and their effect on e-commerce adoption in real estate industry in Qatar. The study adopted a descriptive methodology and quantitative research design utilizing survey strategy. 350 filtered and screened questionnaires that were retrieved from the Quota sample from 59 real estate firms operating in Qatar were analyzed using AMOS. The results indicate that all the dependent variables have significant relationship with e-commerce adoption indicating that the original model used was a good fit, accounting for a large percentage of the variance associated with e-commerce adoption. However, the results also show that only perceived usefulness and anchor variables have positive direct effect on e-commerce adoption; perceived ease of use, adjustment variables and cognitive instrumental factors have notable indirect effect on e-commerce adoption.

Technology Acceptance of Business Intelligence and Customer Relationship Management Systems within Institutions Operating in Capital Markets

Business intelligence (BI) and Customer Relationship Management (CRM) projects are difficult to maintain and manage, since they consist of different systems that need to work together in a collaborative manner. For example, inaccurate data from one location can cause most reports to be generated incorrectly, which in turn can cause meaningless results. This situation may result in the failure of BI and CRM systems. This is most likely due to the fact that the process is not planned correctly and needs are not adequately analyzed. For this reason, systems must always be checked and maintained. Additionally, users’ acceptance of this new technology must be examined. In this study, techniques of using BI applications in CRM were examined. While previous studies on the adoption of BI and CRM systems in businesses have used TAM or variants formed from the variables of different theoretical models, in this study an alternative model was proposed based on the Technology Acceptance Model 3 (TAM3), which is an extended form of the TAM's social impact processes and cognitive impact process variables. Thus, this study aims to fill in the gap in the literature and provide a detailed explanation. In order to investigate users’ acceptance of BI and CRM systems, an adapted questionnaire was administered to 90 employees at institutions operating in capital markets. Findings showed that by order of importance perceived usefulness, perceived ease of use and behavioral intention to use are the key constructs for promoting the usage of BI and CRM systems in such sectoral context. Besides this, the author offered suggestions to technology managers and institutions operating in the capital markets concerning new technology, adoption of BI and CRM systems under similar sectoral circumstances.