Task-technology Fit Theory Research Articles

Suitability- and utilization-based cost–benefit analysis: a techno-economic feasibility study of virtual reality for workplace and process design

Virtual reality (VR) is increasingly being used in the corporate environment. Benefits of using VR have also already been identified in the area of combined workplace and process design. However, whether organizations should invest in VR for this use case is only feasible with knowledge of all operational and strategic costs and benefits. Since previous methods for simulating the costs and benefits of information systems rely strongly on prior knowledge and experience, these approaches are not effective for novel technologies such as VR for less tested use cases due to low empirical databases. In order to provide a more accurate cost–benefit analysis (CBA) of the use of VR for strategical planning like workplace and process design, design science research is applied. Subsequently, by including task technology fit theory, a suitability- and utilization-based CBA method emerged. The contribution thus provides, first, a systematically derived method for quantification and simulation of costs and benefits of strategic VR use in organizations. Second, it provides concrete insights into factors influencing profitability of an investment in a specific VR system for strategic planning projects for workplace and process design based on case study insights.

Consumers' Digital Wallet Adoption

This empirical study aims to examine what drives consumers' behavioral intention to adopt digital wallet by integrating task technology fit theory into UTAUT model. For this purpose, 700 samples were approached through emails, out of which 479 valid responses were solicited. To test and validate the proposed research model, CFA and SEM were performed using AMOS 20. The results of this study highlighted that task technology fit emerged as one of the significant factors among all factors included in the model with direct and indirect effect on behavioral intention. More interestingly, effort expectancy, hedonic motivation, and cost are found to be other significant predictors of consumers' digital wallet adoption. The outcomes of this study provide valuable insights for digital wallet service providers, system developers, and governments for their strategic decision to enhance the adoption of digital wallet in the upcoming digital era. This study contributes specifically in the area of digital wallet adoption and information system acceptance in general.

Exploring the antecedents of AI adoption for effective HRM practices in the Indian pharmaceutical sector.

Purpose: The aim of this research is to investigate the factors that facilitate the adoption of artificial intelligence (AI) in order to establish effective human resource management (HRM) practices within the Indian pharmaceutical sector. Design/methodology/approach: A model explaining the antecedents of AI adoption for building effective HRM practices in the Indian pharmaceutical sector is proposed in this study. The proposed model is based on task-technology fit theory. To test the model, a two-step procedure, known as partial least squares structural equational modeling (PLS-SEM), was used. To collect data, 160 HRM employees from pharmacy firms from pan India were approached. Only senior and specialized HRM positions were sought. Findings: An examination of the relevant literature reveals factors such as how prepared an organization is, how people perceive the benefits, and how technological readiness influences AI adoption. As a result, HR systems may become more efficient. The PLS-SEM data support all the mediation hypothesized by proving both full and partial mediation, demonstrating the accuracy of the proposed model. Originality: There has been little prior research on the topic; this study adds a great deal to our understanding of what motivates human resource departments to adopt AI in the pharmaceutical companies of India. Furthermore, AI-related recommendations are made available to HRM based on the results of a statistical analysis.

Technological Strategies and Performance of the Judicial Sector in Kenya: A Case of Nairobi City County

Purpose: Innovations and rapid diffusion of information and communication technologies in institutions are currently experiencing revolutionizing organizational processes. Globalization equally fuels the adoption of the ICT as the basis for digital operations are changing the way organizations operate. Studies on various countries’ courts show that the judicial efficiency affects a country ‘s entrepreneurial activities; this reduces as the level of inefficiency increases. Thus, the study sought to analyze the influence technological strategies on performance of judicial sector in Kenya. Specifically, the study proposed to determine the influence of technological sourcing; technology posture; technological culture change; technological capacity on the performance of the judicial sector in Kenya.
 Methodology: By adopting descriptive research design, the study targeted all the five magistrate courts in Nairobi City County and purposively targeted nine offices per station, comprising (magistrate, court clerk, court accountant, court secretaries, court Archivist, HR and Administration officer, ICT officer, Procurement officer, and Library assistant, yielding a total of 45 sample size respondents for the study. Primary data was collected through structured questionnaires, which was piloted to ascertain its reliability and validity. Data was analyzed both descriptively as well as inferentially with the help of SPSS program (v.25.0) and MS Excel 10 softwares; and results presented using tables and charts for interpretation.
 Findings: From the study results, all the technological strategies variable had a positive and significant relationship with performance of the judicial sector in Nairobi City County in Kenya.
 Unique Contribution to Theory, Practice and Policy: The study was formed by the following theories: Transactional Cost, knowledge based; Stakeholders; Culture theory as well as the Task-technology fit theory. The study recommended that magistrate courts in Nairobi City County in Kenya should enhance their technological strategies since the strategies have been shown to bear a positive and significant effect on performance. The magistrate courts can achieve this through adopting advance technological orientations, especially where sourcing and culture of operations are concerned.

Assessing the role of blockchain technology for marine bunkering operations – A case study of task technology fit

Technology adoption is vital for improving the efficiency of workflows across value chains. However, technology selection can be challenging, especially for multi-party workflows across different geographical boundaries. The chosen technologies must satisfy the requirements of the tasks at hand and align with international and local laws and regulations. Marine bunkering is a global industry comprising multiple stakeholders with diverse roles and responsibilities that must adhere to global standards and regulations. Through a single case study, we endeavor to understand the role of blockchain technology in marine bunkering, drawing on the Task-Technology Fit theory and Group Support System model to investigate this concept. Our analysis reveals that fit depends on underlying legal norms, task characteristics, and technological properties. Furthermore, we shed light on the blockchain framework used and the role of smart contracts in the value chain. Our research offers insights into an extended Task-Technology Fit theory where stakeholders in a value chain are distributed across multiple geographical boundaries.

IN THE LIGHT OF ADOPTION THEORIES: WHY DO AGRICULTURAL EXTENSION AGENTS USE SOCIAL MEDIA?

This study highlights a significant gap between theoretical understanding and the actual use of social media tools by agricultural extension agents (AEAs). A quantitative study was undertaken to give clear understanding on how various theoretical perspectives in the area of adoption of social media play out in reality among the agricultural extension agents. A sample size of 418 AEAs in the Eastern Region, Ghana were selected using the snowballing sampling technique. The following constructs were rated highest by the respondents; observability, (innovation diffusion theory), continuance intention (theory of task-technology fit), perceived usefulness of social media (theory of reasoned action, theory of planned behaviour, theory of acceptance model) and performance expectancy (unified theory of acceptance and use of technology). Majority of the AEAs highly use social media. High cost of repair of devices, high charges by network providers and lack of knowledge of the best social media use were perceived as substantial challenges. The results show that extension agents must be encouraged to leverage social media platforms to provide personalised support, answer farmers' queries, and offer guidance, leading to better adoption of recommended agricultural practices.

An empirical analysis of the factors driving customers' purchase intention of green smart home products.

With the improvement of consumers' environmental awareness and the popularity of the Internet of Things, green smart home products (GSHPs) are becoming the dominant trend of future home life. This shift not only makes tedious home life easier and more convenient but also helps families save energy and reduce carbon emissions. However, given the impact of the current technological level, the proportion of users who actually purchase GSHPs remains small. Thus, seeking ways to promote the consumption of GSHPs has become an urgent issue. Hence, this study seeks to fill the gap in the existing research on green consumption behavior and obtain a full understanding of the factors influencing the purchase intention of GSHPs. To do so, this work uses task-technology fit theory and considers the actual situation of green smart home consumption to add social-technology fit into the original theoretical basis. In particular, this research focuses on middle- and high-end Chinese consumers who have experience in purchasing GSHPs. Moreover, it aims for an in-depth exploration of the formation mechanism of Chinese consumers' purchase intention for GSHPs through structural equation modeling. Using survey data collected from 331 green smart home product users in China, the study empirically examines the relationships among autonomy, environmental agility, sense of belonging, and self-actualization, and both task-technology fit and social-technology fit, which are expected to shape the purchase intention of GSHP users. The empirical results provide broad support for our hypotheses. The results of this study offer important contributions to the increasing research on GSHPs consumption and shed light on the importance of both technology characteristics and the needs of users in achieving both task-technology fit and social-technology fit and, ultimately enhancing the users' intention to purchase GSHPs.

The Impact of Human-Computer Interaction on Electronic Service Quality Satisfaction towards Taobao Online Platform: Mediated by Task Technology Fit

How human-computer interaction affects customer electronic service quality satisfaction is an important issue that electronic service-based companies need to consider. This paper constructs a conceptual model based on service dominant logic theory and task technology fit theory. It conducts a questionnaire survey of 559 Taobao platform users to verify the proposed hypothesis. The results show that human-computer interaction comprises three basic factors (technology functionality, task routineness, and technology readiness) and two core factors (interaction between task routineness and technology functionality, and interaction between technology readiness and technology functionality). This research enriches the theoretical basis of electronic service quality. It promotes the development of task technology fit theory in service science, providing guidance for electronic service-based companies to improve service interfaces and enhance electronic service quality.

The Role of Enterprise Social Media during the COVID-19 Pandemic: Insights from Leaders' Experience

The COVID-19 pandemic impacted workplaces, with public health orders requiring people to shift their workplaces into their homes. Consequently, many organisations pivoted to online operation and utilised technology such as Enterprise Social Media (ESM) to help manage this transition. In this study we explore leaders' diverse use of ESM during the pandemic, including whether it was used for performance management and how it shaped leaders’ social behaviour. We conducted fifteen semi-structured interviews with leaders in a large Australian University using the ESM technology. Our results explore the nuances of ESM use during this time including how it was used as a social tool, a communication tool, and as an informal means to collect performance data. Interviews also revealed concerns with ESM use such as privacy and information redundancy. Our work advances the Task-Technology Fit (TTF) literature by conceptualising cognitive and affective mechanisms to understand how utilisation moderates TTF outcomes. These mechanisms are contingent on how leaders use ESM and the level of their interactions and engagements. We identify practical implications of ESM use at a time of crisis including leader training, clear guidelines for internal communication, efficient information sharing practices, and informed consent for ESM-related data collection practices.

Exploring the factors affecting behavioral intention to adopt wearable devices

The study explores factors like healthcare, fashionability, ease of use. affecting adoption of wearable devices, with the intent to contribute to the current global health research. ObjectiveThe objective of this study is to identify the effect of different factors on behavioral intention to adopt wearable device. With regard to the intention to utilize smart wearables, we explicitly proposed a theoretical model based on the task-technology fit (TTF) model, the technology acceptance model (TAM), and external factors. MethodsPrimary data was collected from 139 respondents and structural equation modeling was performed for getting insights regarding intention to adopt wearable devices. SmartPLS software was used to analyse the data. ResultsThe hypothesized model explains 76.9 % variance of BI. 73.5 % of PEOU and 79.3 % of PU. Task and technology characteristics explain 88.9% of TTF construct. Connectivity and health care have a significant impact on TTF. TTF model has effect on TAM model leading to Behavioral Intention to adopt smartwatch. In addition, fashionability had a significant effect on BI. However as per study results, perceived privacy did not impact BI. ConclusionsIn conclusion we document that our findings are in consistency with the original TAM and TTF model. Therefore, this provides an opportunity to extend previous findings of users’ adoption. From this study the reliability and validity of integrated models is also verified. Furthermore, the aspects of wearable devices such as fashionability, ease of use, connectivity and healthcare turned out to be significant in the intention to adopt wearable devices.

The Role of Task-Technology Fit on the Design and Use of a Hotel Management System

Hotels have many problems regarding how to improve their service performance by using technologies, especially when the hotels have a bit of understanding the importance of their employees’ tasks and the technology fitness. This study designed a hotel management system based on the tasks that the employees use to provide services. The purpose of this research is to investigate the influence of task-technology fit on the intention to use the designed hotel management system. In addition, statistical testing methods are also carried out on the system by measuring the impact of task-technology fit on the suitability between user task needs and technology, on user perceptions of technology and how these perceptions affect user intentions and behavior in accepting and using technology. The results of this study indicate that task-technology fit has a significant impact in facilitating its use. The results of this study contribute to the academic implementation of task-technology fit theory in the hotel reservation management system.

Facebook Messenger: As Means of Communication for Academic Inquiries

Most of social media users use Facebook Messenger as a messaging platform because of its free messaging and video chatting service. Thus, it is not a surprise that Facebook Messenger is utilized as a communication tool for academic purposes. This descriptive qualitative research anchored on the epistemology constructionism, methodology and naturalistic inquiry aimed to determine how do students use Facebook-Messenger as means of communication for academic inquiries. The aforesaid study was conducted among the twelve (12) BSED Social Studies learners who were identified through purposeful sampling. The researchers utilized a semi-structured written interview which contains one question anchored in the Task-Technology Fit (TTF) Theory. On the other hand, the data and information were collected through essay form and analyzed through Conventional Qualitative Content Analysis. In using Facebook Messenger as a means of communication for academic inquiries, the informants from BSED Social Studies expressed that the platform is avenue for academic skills, task-needs, and their preferred technology. First, informants expressed that Facebook Messenger is an avenue for academic skills because it (1) facilitates collaboration, its (2) easy navigation of features, and (3) fosters teacher-learner communication. Also, Facebook Messenger fills for their task-need as it helps them conduct (1) group discussion, (2) convenient submission, have (3) clear instruction, and (4) task clarity. Lastly, informants show evidence that the platform is their preferred technology because it is an (1) alternative platform, (2) file-sharing platform, (3) provide storage for preference, (4) up-to-date reminder, and a (5) convenient tool for communication. This study reveals that Facebook Messenger is used as a tool to open an avenue for academic skills, is an essential platform for delivering task needs, and was a preferred technology as a means of communication for academic inquiries.

The Relationship Between Sensor Technology and Performance of Shipping Lines in Kenya: The Moderating Effect of International Maritime Regulations

Over time, firms have adopted various measures to enable them to improve their performance; one such measure is the adoption of technology. Shipping lines’ performance, just like any other organisation’s performance, is highly pegged on proper implementation and use of the right technology. The need for technology adoption arises from the fact that Kenya’s shipping sector has been characterised by low logistics efficiency due to high transportation costs, delayed delivery, clearance at the port, the influx of substandard goods into the country as well as poor tracking and tracing. If well utilised, the sensor technology can help solve these problems. The objective of this study, therefore, was to assess the relationship between sensor technology and the performance of shipping lines in Kenya and the moderating effect of international maritime regulations. The main theory of the study was the technology acceptance model supported by the task technology fit theory, institutional theory and theory of the firm. The positivist research philosophy and explanatory survey research design were utilised in this study. The target population was all the 2835 respondents who are logistics, IT, sales and marketing and finance staff of the 53 shipping lines listed in Kenya business directory 2021. The study sample size was 438 respondents who were staff from four departments and was determined by the use of the Yamane formula. A random stratified sampling design was utilised to arrive at specific respondents. Quantitative data were collected using structured questionnaires administered to the respondents. A pilot study was conducted in Mombasa from six shipping lines using 10% of the sample size; 50 questionnaires, but only 44 were filled and returned. The questionnaire was tested for both validity and reliability. Reliability was tested using Cronbach's alpha index at 0.7, while the use of factor analysis ascertained validity. Quantitative data was appropriately coded and entered into SPSS version 20 for analysis to generate descriptive statistics (minimum, maximum, mean, standard deviation kurtosis and Skewness) and inferential statistics (Pearson correlation coefficient, multiple linear regression and hierarchical regression model), which was then be presented in frequency tables and graphs. Results showed that there was a significant and positive relationship between sensor technology and the performance of shipping lines in Kenya. Also, international maritime regulations had a statistically significant moderating effect on the relationship between sensor technology and the performance of shipping lines in Kenya. It was concluded that shipping lines in Kenya utilised localisation technology to help in locating cargo during transportation, forecasting lead time accurately, mapping the route, eliminating delay, checking route deviation and tracking vessels. The study recommends that in order to enhance the shipping line's performance through efficient operations, the managers of these companies need to adopt and make use of the sensor technology.

Examining the Effect of the Task-Technology Fit of Game Mechanisms on Learning Outcomes in Online Gamification Platforms

The designs of gamification platforms are diverse and constantly evolving. Excessive use of various game mechanisms in learning platforms can distract from the learning process. However, the fit of game mechanisms is still uncertain. Thus, this study investigates the effect of achieving fit when implementing game mechanisms on learning outcomes by applying the well-known task-technology fit theory (TTF). TTF is frequently employed to improve fit between tasks to be completed and the technology applied. The findings indicate that achieving gamification fit can reduce the cognitive load of students and result in enhanced learning performance in terms of learning outcomes. Data collected from 266 participants were analyzed using the technique of the partial least squares to validate the developed research model. The findings of this study can aid educators and educational technology designers in identifying the design mechanisms and characteristics that can be used to ensure design fit on gamification platforms.

Task-Technology Fit and ICT Use in Remote Work Practice During the COVID-19 Pandemic

This study examines the use of information and communications technology (ICT) in remote work practice during the COVID-19 pandemic by integrating task-technology fit theory and the post-acceptance model of IS continuance into a research framework. In addition, it operationalizes the technological characteristics of TTF (task-technology fit) with the technology acceptance model (TAM) and the diffusion of innovation (DOI) theory. The methodology to test the research model takes support from the partial least squares structural equation modeling (PLS-SEM) method using a sample of 320 employees. The results show that TAM significantly explains TTF. Furthermore, there is a positive impact of ICT use on individual and organizational performance. User satisfaction has the most significant effect on individual performance, organizational performance, and IS continuance intention. The authors provide some managerial implications for addressing the challenges of remote work related to ICT disruptions for the post-COVID-19 period.

Machine learning with task-technology fit theory factors for predicting students’ adoption in video-based learning

Nowadays, various innovative educational and instructional tools have been created to deliver learning material including video content. One of the important issues with video-based learning is to devise effective teaching strategies to ensure higher level of learning can be achieved by the students. Getting insight and predicting the students’ video-based learning adoption will help the educators. Thus, this study aims to examine the potential of using machine learning prediction models on video-based learning adoption in higher education institutions. Five machine learning algorithms were used to be empirically compared namely generalized linear model (GLM), random forest (RF), decision tree (DT), gradient boosted tree (GBT), and support vector machine (SVM). The performance of each machine learning algorithm in predicting the students’ learning adoption with video-based learning has been observed based on the attributes of task-technology fit theory. The findings indicated that the task-technology fit is useful in helping the machine learning algorithm to achieve high accuracy in the prediction of video-based learning adoption. The GBT is the best outperforming algorithm, followed with RF and SVM. This paper presents a fundamental research framework useful for helping educators and researchers to enhance student interest and retention on video-based learning.

Information Systems Adoption and Performance: Evidence from Canadian Firms Linking Individual and Organizational Performance

ABSTRACT Implementing a new information system is bound to be a risky decision for any company. Studying the main factors that can help to improve the adoption success is crucial to help mitigate the risk of failure. This paper explores information systems adoption in a Canadian context and evaluates the main factors that drive performance using two models: 1) the task-technology fit (TTF) model and the technology acceptance model (TAM).

Integrating Communication and Task–Technology Fit Theories: The Adoption of Digital Media in Learning

In order to eliminate discrepancies between the literature on the use of digital media for education and its effects on students’ academic achievement in higher education institutions, this article aims to develop a model that would identify essential aspects that are predicted to continue to play a large role in TTF and CT for learning, which could be used to improve academic performance in higher education. The purpose of this study was to investigate the characteristics and aspects of digital media and the relationship between their use in the TTF and CT theories to determine how they affect research students’ satisfaction and AP in HE institutions. Data for the TTF and CT theories were collected using a questionnaire survey. A questionnaire survey was the primary method of data collection. A total of 1330 students who were acquainted with digital media participated in the data collection survey from Universiti Kebangsaan Malaysia. To assess the findings, quantitative structural equation modeling was used. Technological, task, and social characteristics were found to have a substantial association with TTF for using digital media sites for academic purposes, which had a favorable impact on satisfaction and educational achievement. Similar to this, a significant relationship between online communication, reasons for communicating, communication self-efficacy, and attitude toward using features with TC was found to exist for utilizing digital media sites for educational purposes that positively impacted satisfaction as well as academic performance. The study concludes that TTF and CT concepts for using digital media enhance students’ active learning and give them the ability to effectively exchange knowledge, data, and discussions. In order to further their educational objectives, we advise students to make use of digital media platforms. Additionally, educators in higher education institutions need to be convinced to use digital media platforms in their lessons.

Social Media Use and its impact on Egyptian MSMEs’ Growth

Micro, small and medium enterprises (MSMEs) have benefited significantly from the use of social media (SM) in reaching customers and growing sales in a most efficient way. This study compares Facebook and Instagram as two separate social media platforms and examines to what extent the use of each of these SM platforms affects the growth of MSMEs. It distinguishes financial growth and non-financial growth and uses two theories to conceptualize the relations within the context of social media usage: the Social Exchange Theory (SET) and the Task Technology Fit (TTF) Theory. Results of the quantitative and qualitative analysis based on data of 383 MSMEs show that using social media (SM) has helped MSMEs achieve both financial and non-financial growth. Facebook, more specifically, leads to financial growth (higher sales volume in the short-term), while Instagram leads to more customer engagement and higher brand performance, with the positive and significant moderating effect of the length of social media use.

The boon and bane of ICT services to small and medium-sized tourism and hospitality enterprises (SMTHEs) in northern Ghana

ABSTRACT The adoption of Information Communication Technology (ICT) by SMTHEs is increasing – with its accompanying benefits and challenges. Yet, researchers have barely turned their attention to the benefits and challenges of using ICTs among SMEs within the hospitality and tourism industry, especially in Ghana. Informed by the Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2), Diffusion of Innovation, and the Task-Technology Fit Theories, this study unlocks the benefits and hinders of ICT applications to SMTHEs. Using a qualitative research approach, 20 in-depth interviews were conducted among owner-managers and non-owner managers of accommodation, restaurants, and travel and tour agencies using purposive sampling. The study found that the adoption of ICTs leads to the survival and sustainability of SMTHEs notwithstanding noticeable challenges encountered: technology abuse, insecurity, and high cost that affect the competitiveness of these firms. The practical and policy implications of the study are discussed.