Task-technology Fit Research Articles

What influences user continuous intention of digital museum: integrating task-technology fit (TTF) and unified theory of acceptance and usage of technology (UTAUT) models

Digital museums play a crucial role in facilitating users' access to and exploration of digital cultural heritage resources. However, exploring the factors influencing user engagement with these digital museums from a user experience perspective remains essential. This study evaluates the factors driving user continuous behavioral intention towards the digital museum of Beijing’s central axis, integrating the new task-technology fit (TTF) and the new unified theory of acceptance and use of technology (UTAUT) models, and introducing perceived enjoyment, design aesthetics, and perceived cultural value as additional variables. Analyzing survey data (n = 377) utilizing structural equation modeling (SEM), the study identifies the following key findings: (1) the task and technology characteristics of digital museums significantly impact the TTF; (2) performance expectancy, effort expectancy, design aesthetics, perceived enjoyment, and perceived cultural value all positively impact user continuous behavioral intention; (3) the technological characteristics of digital museums were observed to positively impact users' effort expectancy; but (4) the TTF and social influence did not have no significant impact the user continuous behavioral intention. These findings offer valuable insights into the factors driving users' continuous behavioral intention to use digital museums of cultural heritage, offering practical guidance for future development and optimization of these digital museums, and highlighting specific implications and suggestions for enhancing the user experience.

Evaluating the effect of face recognition technology on citizens’ happiness

ABSTRACT Face recognition technology (FRT) has a significant impact on citizens’ lives. Based on involvement theory, interaction ritual chain theory, social interaction theory, and the task-technology fit (TTF) model, this study evaluates the effect of FRT on citizens’ happiness. We conducted data collection in a Chinese region widely using FRT, with 653 effective samples, using structural equation models to evaluate the data. Finally, we draw five novel and valuable conclusions. First, task characteristics have a significant positive influence on TTF, but a similar effect is not evident between TTF and technical characteristics. Second, cognitive involvement positively affects positive emotion, which subsequently positively affects actual use. Third, TTF has a significant positive impact on actual use, which can also be transmitted through positive emotion. Fourth, actual use and positive emotion have a significant positive effect on feedback interaction. Fifth, feedback interaction has a significant positive effect on happiness, and this impact can also be transmitted through social connection. A potential contribution of this study is its theoretical framework and empirical model, which integrate the similarities and differences between FRT and other technologies used to meet citizens’ needs, revealing respondents’ reactions to and appreciation for FRT.

The Behavioral Intention to Use Virtual Reality in Schools: A Technology Acceptance Model.

This paper presents the impact of using virtual reality (VR) in education and focuses on the main factors that affect the behavioral intention of using this new technology for the benefit of both professors and students. As part of our research methodology, we conducted a survey based on the Technology Acceptance Model and used partial least squares structural equation modelling. The results show that the intention to use VR technology in education is influenced by both usage satisfaction and the task-technology fit. The system quality of the VR technology proved to be important in influencing both the task-technology fit and perceived usefulness. The findings are useful for professors considering the adoption of new technologies that might improve the efficiency of learning for their students. Additionally, managers of educational institutions can use these insights to direct investments towards this type of innovation, which appeals to newer generations.

When Chatbots Struggle with Customer Queries: Can Humans Help Them?

ABSTRACT Chatbots are becoming increasingly popular for customer service due to their speed and cost-effectiveness. However, chatbots have many limitations; for example, they cannot resolve all consumer queries and rely on human help. This study focuses on two key research questions. First, for what type of queries would customers prefer chatbots to traditional channels like phone calls? Second, when the chatbot cannot resolve customer queries, what is the best way to provide human help so that consumers adopt them in the future? We have used task technology fit and decision point theory to address these research questions. The results of two experiments found that consumers preferred chatbots more for non-complex and non-urgent queries. The results also found that a reduction in decision points led to higher adoption of chatbots in the future. In addition to contributing to theory, this study has significant managerial implications that can help companies effectively employ chatbots.

What drives the adoption of digital technology in the micro, small, and medium enterprises sector in a developing economy?

PurposeThis study aims to explore the determinants of digital technology adoption within micro, small and medium enterprises (MSMEs) operating in a developing economy. Grounded in the theoretical frameworks of fit-viability and task-technology fit models, this study investigates the impact of environmental fit, task-technology fit and viability on the intention to adopt digital technologies among MSMEs.Design/methodology/approachThis study validates the theoretical model using structural equation modeling, using data collected from 280 experienced respondents employed in the MSMEs in India.FindingsThe results indicate that both functional and symbolic benefits positively impact managers’ intention to adopt digital technology. However, subgroup analysis reveals that in the case of service enterprises, only functional benefits have a positive influence on managers’ intention to adopt digital technology. In addition, the findings underscore the crucial role of viability in shaping the intention to adopt digital technologies among MSMEs. This study highlights how functional and symbolic benefits motivate digital technology adoption in MSMEs.Originality/valueThere is a dearth of empirical studies investigating the factors influencing the adoption of digital technology by MSME firms, especially within the context of developing economies and specifically within the MSME domain. This study contributes to the theoretical discussion surrounding digital technology adoption among MSMEs in India. Through empirical research, it expands on the fit-viability model and formulates a technology adoption model within the MSME context.

Factors influencing continuance intention in blended learning among business school students in China: based on grounded theory and FsQCA

ABSTRACT This research study aims to explore the factors that influence continuance intention in Blended learning (BL) among business school students in China. By employing a grounded theory approach and utilizing the Fuzzy Set Qualitative Comparative Analysis (FsQCA) method, the research investigates the complex interplay of various variables that contribute to business school students’ intention to continue participating in BL programs. The study includes a comprehensive analysis of factors such as self-efficacy, perceived usefulness, task-technology fit, social influence, and satisfaction. The findings provide valuable insights into the factors that drive business school students’ continuance intention in BL, specifically within the business school context in China. Moreover, the study highlights the non-linear relationships and various configurations of these factors that result in high levels of continuance intention. The results contribute to the existing knowledge base and inform educational institutions in designing effective strategies to enhance business school students’ engagement and promote the long-term success of BL initiatives.

Artificial intelligence and project management: An empirical investigation on the appropriation of generative Chatbots by project managers

The integration of generative AI tools, such as chatbots, into project management is revolutionizing the field. This paper explores how project managers are adopting and adapting these tools, specifically focusing on ChatGPT, for enhanced project management. Using Adaptive Structuration Theory, the study examines project managers' appropriation of generative AI. It considers factors like Innovation Attitude, Peer Influence, and Task-Technology Fit, employing a survey of Italian project managers. The approach adopted to analyze data is based on Partial Least Square - Structural Equation Modeling. The research confirms the significance of the hypothesized antecedents in AI tool appropriation. Innovation Attitude and Peer Influence are shown to positively impact the creative and 'unfaithful' use of AI in project management. Task-Technology Fit is crucial for effective AI integration, impacting both creative behaviour and unfaithful appropriation. The study highlights the role of an innovative mindset, peer dynamics, and task compatibility in the effective use of AI tools in project management. It suggests potential areas for future research, including exploring cultural and organizational contexts and the rapid evolution of AI technologies.

Unveiling End-users' Satisfaction and Actual Use of Blockchain in e-Health: Empirical Evidence from Bangladesh

Data safety and security have become threatening issues in the health industry. Against this backdrop, blockchain technology has opened up a new window for healthcare stakeholders. This research aims to enhance the understanding of the factors that influence user satisfaction and actual use behavior of blockchain technology in the electronic health sector in Bangladesh. A convenience sampling collected primary data (270 responses) from nurses, doctors, emergency staff, and laboratory technicians. AMOS and SPSS were used for analysis. The data were analyzed using descriptive statistics, assessing normality, common method bias, validity, reliability test and regression weight analysis. The findings of this study reveal that the task characteristics, performance expectancy, information quality, and service quality of blockchain are significantly related to end-user satisfaction. Performance expectancy had the greatest weighted influence on satisfaction. End-user satisfaction reflects strong usage behavior towards blockchain technology in Bangladesh. Surprisingly, system quality does not substantially affect user satisfaction derived from blockchain technology. This study analyzes the most critical predictors of satisfaction evoked by using blockchain, particularly relevant to the context of Least Developed Countries (LDCs), such as Bangladesh. To our knowledge, limited studies have yet examined user satisfaction and actual use behavior through the lens of IS success, Task Technology Fit (TTF), and UTAUT models in Bangladesh's e-health sector. This study is anticipated to provide an opportunity for additional investigation into the potential uses of blockchain in the medical field and other commercial sectors.

Influencing Factors Analysis IoT Adoption in Indonesian State Housing Management Information System

The Internet of Things (IoT) has revolutionized asset management in Smart Homes. In Indonesia, one of the biggest struggles in implementing emerging technology in the e-government system is connecting the users' behavioral intention with the suitability of the type of work and the technological convenience offered. A technology acceptance and use model is proposed to address this issue by analyzing the correlation between IoT adoption in asset management. The model draws insights from two complementary methods: user behavioral intention predicts utilization, and task-technology fit predicts performance with moderating factors analysis. The study finds that social influence, hedonic motivation, and price value factors are compelling users' intentions to adopt the Internet of Things in asset management. The IoT technology is deemed worth the price for asset management, particularly for state residences, due to its automation, accuracy, and real-time features. It also enhances decision-making, as the asset information is more reliable and secure. This study enriches moderating factors analysis to study the effect of technology adoption. Additionally, research on asset management systems still needs to be improved, especially in the government sector. In conclusion, this study provides insights into adopting IoT in the government sector and its potential to transform asset management.

Study of Consumer’s Intention to Use of E-Wallet: with Extended UTAUT2 Reward and Technological Innovation

Consumers in the 21st century are living in a world transformed by contactless transactions, a product of the digital revolution. This technology is woven into the fabric of daily life, offering solutions for everything from morning coffee purchases to late-night bill payments. From shopping and salons to education, food delivery, money transfers, and public transport, contactless payments are ubiquitous. This constant presence fosters a consumer behavior that embraces new technologies and innovation. The rise of mobile payments, driven by advancements in technology, has fundamentally altered the payment landscape. Consumers now have the power to turn their smartphones into convenient payment tools. The emergence of the Internet and smartphones in the 21st century has made information technology an essential aspect of human existence, which were mostly accessible to organizational users in the late 20th century. Research on technology adoption and diffusion is well-established in the current literature on information systems (IS). IS researchers are constantly seeking to comprehend the different factors that influence individuals' acceptance and utilization of emerging information technology (IT) (Hughes et al., 2016, 2017, Hughes et al., 2020). This extensive research field has seen a variety of research methods being used to study a wide range of technologies in different countries. The existing literature has uncovered numerous theories, contexts, units of analysis, and research methods (Dwivedi & Williams, 2008; Choudrie & Dwivedi, 2005; Williams et al., 2009). The diverse research contexts, which include technology, user type, location, adoption time, and task done, have led to the emergence of numerous conflicting theories and models. The Technology Acceptance Model (TAM), Diffusion of Innovation (DoI), Theory of Planned Behaviour (TPB), and Task Technology Fit (TTF) Theory have been commonly used to study various aspects of adoption and diffusion (Dwivedi et al., 2006, 2007; Dwivedi and Weerakkody, 2007; Kapoor et al., 2014). Venkatesh et al. (2003) created the Unified Theory of Acceptance and Use of Technology (UTAUT) by thoroughly examining eight prominent technology adoption models. This theory focuses on the practical value (external motivation) that technology brings to users in an organizational setting. It eliminates any overlapping or repetitive concepts to streamline the theory (Venkatesh et al., 2003). The emergence of consumer technologies required the expansion of the UTAUT model to include the consumer context, with a focus on the hedonic value (intrinsic motivation) of technology users. As a result, three additional concepts, namely hedonic motivation, price value, and habit, were included in the original UTAUT model. This updated version is known as UTAUT2. However, in UTAUT2, the concept of voluntariness of use was eliminated as a moderator because customers do not have any organizational mandate. Additionally, in many cases, consumer behavior is voluntary (Venkatesh et al., 2012). The UTAUT2 hypothesis has a significantly greater predictive power compared to UTAUT. It can explain around 74 percent of the variation in customers' behavioral intention and 52 percent of the variation in consumers' technological usage of the focus technology (Venkatesh et al., 2016).

A Critical Literature Review on Blockchain Technology Adoption in Supply Chains

Inspired by the discontinuation of the blockchain platform TradeLens, co-developed by IBM and Maersk, due to the lack of the involved supply chain stakeholders’ adoption, a critical literature review on the models of supply chain stakeholders’ adoption of blockchain applications was conducted. This review is significant as it provides insights into the exploration of a more universal approach to investigate which factors really influence blockchain adoption, which is a pre-requisite for the technical sustainability of blockchain technology in supply chains. As observed in the review, the technology acceptance model (TAM), the technology–organization–environment (TOE) framework, and the unified theory of acceptance and use of technology (UTAUT) are frequently used in the literature, but little attention has been paid to whether blockchain technology fits the users’ tasks in understanding blockchain adoption in the supply chain. Among the technology adoption theories, task–technology fit (TTF) considers whether a technology fits the tasks, but only two previous studies involved the use of TTF. This study discusses the suitability of these existing models of technology adoption for blockchain applications in supply chains and comes up with a new unified model, namely TOE-TTF-UTAUT. This review also has implications for a more appropriate conceptual research design using mixed methods.

ANALYSIS OF SATISFACTION AND USEFULNESS OF LEARNING MANAGEMENT SYSTEM (LMS) USING EUCS AND TTF METHODS

Student satisfaction with using the Learning Management System (LMS) is one factor determining the achievement of bold learning objectives in tertiary institutions. This study aims to test the satisfaction and usefulness of LMS for students in learning to dare to use several variables in End User Computing Satisfaction (EUCS) and Task Technology Fit (TTF). The relationship between variables in EUCS and TTF was tested using the Structural Equation Model (SEM) based on 184 respondent data obtained from students using Moodle LMS at a university in Jakarta. The study's results revealed that the variable task characteristics and technological characteristics significantly affected TTF and EUCS tasks, and TTF positively affected EUCS. The results of the study provide recommendations that the resolution of LMS technology and the ease of use of LMS are the dominant factors influencing student satisfaction in using LMS.

Facilitating Interfirm Collaboration by Using Social Media

ABSTRACT Purpose Using social media (SM) in the workplace is controversial. Managers are concerned about boundary spanners’ heavy use of SM for unproductive activities, while boundary spanners need task-focused SM usage to enhance cooperative intention, share mutual knowledge, and build long-term relations. To clarify the effects of SM usage, the authors draw on task–technology fit (TTF) theory to examine how task-focused SM usage (TSM) and relationship-focused SM usage (RSM) influence the efficacy of interpersonal guanxi in China’s emerging economy. Methodology/approach The authors test the proposed theoretical model by collecting 550 valid questionnaires of survey data from manufacturers in China. Ordinary least squares regression is used to analyze the data and test the hypotheses. Findings The results of the statistical analysis show that interpersonal guanxi improves interfirm coordination and exchange performance. Furthermore, TSM usage strengthens the positive impact of interpersonal guanxi on interfirm coordination but weakens the positive effect of interpersonal guanxi on exchange performance, while RSM usage enhances its positive impact on exchange performance but weakens the positive effect of interpersonal guanxi on interfirm coordination. Research implications This study contributes to the literature by developing and testing the TTF-based framework of interpersonal guanxi and SM usage. The finding enriches our knowledge on the roles of interpersonal guanxi in the business-to-business (B2B) context. Practical implications This study offers the guidance for firms using SM in the B2B context. SM usage should be fited with firms’ and boundary spanners’ tasks, considering the complementary and supplementary nature of SM usage. Originality/value/contribution This study tests the different roles of SM usage, i.e., TSM versus RSM, in fostering the efficacy of interpersonal guanxi, providing a meaningful perspective on firms’ knowledge activities. Moreover, by proposing a TTF-based framework of interpersonal guanxi and SM usage, it explores the informational roles of boundary spanners’ SM usage in promoting dyadic relationships.

Exploring the factors influencing academic learning performance using online learning systems

-Online learning has become vital and fundamental for learning success in higher education institutions to cope with various learning methodologies or crises such as COVID-19. Therefore, this study investigates factors influencing the academic learning performance among diploma and bachelor's degree students who utilize online e-learning systems in Jordan. Using a conceptual model developed from an extensive previous literature review, the study used a quantitative research methodology to collect data via survey questionnaires. Using PLS-SEM, the empirical analysis of 846 questionnaires collected from Jordanian students demonstrates that task-technology fit and students' satisfaction positively influence learning performance and contribute significantly to student academic success using online learning systems. While the quality of system, service, and information are critical determinants of task-technology fit, student interaction, and instructor interaction are critical determinants of student satisfaction. The study highlights the importance of user-friendly interfaces, effective communication channels, collaboration, and positive learning environments. The findings provide practical insights for universities, online learning system designers, administrators, and instructors to enhance student-learning outcomes. Additionally, system providers can use these findings to address essential successful tools and features needed to create effective and efficient online learning environments. This study highlights practical implications that support higher education institutions' efforts to enhance their online e-learning systems quality and improve student-learning outcomes while helping system providers address essential successful tools and features needed.

Unlocking determinants of smart construction: an integrated model of UTAUT2, TTF, and perceived risk for IoT acceptance in AEC industry

PurposeThe Internet of Things (IoT) offers substantial potential for improving efficiency and effectiveness in various applications, notably within the domain of smart construction. Despite its growing adoption within the Architecture, Engineering, and Construction (AEC) industry, its utilization remains limited. Despite efforts made by policymakers, the shift from traditional construction practices to smart construction poses significant challenges. Consequently, this study aims to explore, compare, and prioritize the determinants that impact the acceptance of the IoT among construction practitioners.Design/methodology/approachBased on the integrated model of Unified Theory of Acceptance and Use of Technology (UTAUT2), Task-Technology Fit (TTF), and perceived risk. A cross-sectional survey was administered to 309 construction practitioners in China, and the collected data were analyzed using structural equation modeling (SEM) to test the proposed hypotheses.FindingsThe findings indicate that TTF, performance expectancy, effort expectancy, hedonic motivation, facilitating conditions, and perceived risk exert significant influence on construction practitioners’ intention to adopt IoT. Conversely, social influence and habit exhibit no significant impact. Notably, the results unveil the moderating influence of gender on key relationships – specifically, performance expectancy, hedonic motivation, and habit – in relation to the behavioral intention to adopt IoT among construction practitioners. In general, the model explains 71% of the variance in the behavioral intention to adopt IoT, indicating that the independent constructs influenced 71% of practitioners’ intentions to use IoT.Practical implicationsThese findings provide both theoretical support and empirical evidence, offering valuable insights for stakeholders aiming to gain a deeper understanding of the critical factors influencing practitioners’ intention to adopt IoT. This knowledge equips them to formulate programs and strategies for promoting effective IoT implementation within the AEC field.Originality/valueThis study contributes to the existing literature by affirming antecedents and uncovering moderators in IoT adoption. It enhances the existing theoretical frameworks by integrating UTAUT2, TTF, and perceived risk, thereby making a substantial contribution to the advancement of technology adoption research in the AEC sector.

Enhancing Police Operations: The Impact of CCTV in Monitoring, Incident Response, and Crime Investigation in Nairobi City County, Kenya

This study assessed the impact of Close Circuit Television (CCTV) on police operations in Nairobi, Kenya, focusing on its role in public space monitoring, incident response, and crime investigation. Employing a convergent parallel design informed by the Task-Technology Fit Theory, it collected data from 403 purposefully and cluster-sampled police officers through questionnaires, key informant interviews, and focus group discussions. Quantitative data analysis utilised descriptive statistics, while thematic analysis helped to uncover qualitative insights. CCTV was found to be valuable for incident awareness, traffic management, and crime detection and significantly aided in incident response and investigations. However, limited camera coverage and technical issues reduced effectiveness. The study concluded that Nairobi's CCTV system is a valuable tool, but improvements like expanding coverage and providing storage solutions for investigators are recommended.

Assessing the Impact of Multicultural Curriculum on Student Performance in Beijing High Schools

Considering increasing diversity and the need for culturally responsive education, this study examines the integration of technology within multicultural curricula in Chinese high schools. This study focuses on the interplay between task characteristics and technological capabilities and their impact on student performance. Grounded in the TaskTechnology Fit theory, the analysis employs structural equation modelling (SEM) to assess the relationships among these variables. This study aims to identify how aligning educational tasks with technological resources can enhance student outcomes in multicultural learning environments. The research design involved collecting data from a purposive sample of teachers and students in Beijing, and the analysis revealed significant relationships among task characteristics (TaC), technology characteristics (TeC), tasktechnology fit (TTF), and student performance (SP). The findings highlight that optimal alignment between educational tasks and technological tools is crucial for enhancing academic performance and fostering deeper engagement with the multicultural aspects of the curriculum. These results emphasise the critical need for strategic selection and integration of technology in educational settings. This study underscores the importance of developing strategies that consider both the pedagogical aspects of the curriculum and the technological tools used for its delivery. This research provides empirical insights into the effective use of technology in multicultural education and offers valuable guidance for educators and policymakers. Furthermore, it plays a role in attaining sustainable development goal 4 and 10. The findings contribute to the ongoing discourse on educational technology and multicultural education, with practical implications for enhancing teaching and learning in diverse educational contexts.

Problem resolution with business analytics: a task-technology fit perspective

PurposeThe study explores the extent to which business analytics can address business problems using the task-technology fit theory.Design/methodology/approachThe qualitative research approach of pattern matching was adopted for data analysis and 12 semi-structured interviews were conducted. Four propositions derived from the literature on task-technology fit are compared to emerging core themes from the empirical data.FindingsThe study establishes the relationships between various forms of fit, arguing that the iterative application of business analytics improves problem understanding and solutions, and contends that both under-fit and over-fit can be acceptable due to the increasing costs of achieving ideal fit and potential unaffected outcomes, respectively. The study demonstrates that managers should appreciate that there may be a distinction between those who create business analytics solutions and those who apply business analytics solutions to solve problems.Originality/valueExtant studies on business analytics have not focused on how the match between business analytics and tasks affects the level to which problems can be addressed that determines business value. This study enriches the literature on business analytics by linking business analytics and business value through problem resolution demonstrated by task-technology fit. To the authors’ knowledge, this study might be the first to apply pattern matching to study the fit between technology and tasks.

Understanding older adults’ continuance intention toward wearable health technologies: an empowerment perspective

ABSTRACT Although wearable health technologies (WHTs) hold tremendous potential as an effective means for health management among older adults, their continued use of WHTs remains a big challenge. Drawing on the fit-viability model and empowerment theory, this study proposes a paradigm of empowerment enablers – empowerment outcomes – behaviour intention to explore the mechanism of older adults’ continuance intention toward WHTs from an empowerment perspective. We collected 381 valid survey responses from older adults in China who have experience with WHTs. The results show that continuance intention is positively influenced by four dimensions of empowerment: autonomy, competence, involvement, and impact on health. Task-technology fit has a positive and significant influence on autonomy and competence, and elderly-oriented fit positively and significantly influences involvement and impact on health positively. While intergenerational support is associated with competence, involvement, and impact on health. This study contributes to expanding knowledge on the continuous use of WHTs among older adults from a new perspective. It also provides effective strategies for practitioners to enhance the retention of older adults using WHTs.

The antecedents and consequences of task–technology fit of facial recognition payment systems in the restaurant industry: cultural differences

研究目的本研究旨在调查面部识别支付系统任务技术匹配（TTF）的关键前置因素和影响, 以文化差异为调节变量, 研究其在餐饮行业的应用。研究方法我们收集了来自336名韩国和336名美国餐厅顾客的调查回答。研究发现结果显示, 在两组中, 功能显著影响TTF。对于韩国样本来说, 情感被发现是TTF的重要决定因素, 而对于美国样本来说, 方便性和社会影响是TTF的关键预测因素。在两组中, TTF对行为意向的三个维度均产生了显著且积极的影响。多组分析结果显示, 文化差异在方便性对TTF的影响以及情感对TTF的影响中起到了调节作用。研究创新我们首次为寻求改善顾客TTF和接受面部识别支付系统的餐厅经营者和技术公司提供了建议。