# A Scoping Review of the Application of the Task-Technology Fit Theory

Ruan Spies, Sara Grobbelaar, Adele Botha

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Ruan Spies, Sara Grobbelaar, Adele Botha. A Scoping Review of the Application of the Task-Technology Fit Theory. 19th Conference on e-Business, e-Services and e-Society (I3E), Apr 2020, Skukuza, South Africa. pp.397-408, 10.1007/978-3-030-44999-5_33. hal-03222873

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# A Scoping Review of the Application of the Task-Technology Fit Theory

Ruan Spies<fnref n="1" />[0000-0001-8012-0958], Sara S. (Saartjie) Grobbelaar<fnref n="2" />[0000-0002-2793-9689] and
Adele Botha<fnref n="3" />[0000-0002-1147-1380]

**Abstract.** The Task-Technology Fit (TTF) theory provides a means of quantifying the effectiveness of technology in a system by assessing the relationship between the technology and the tasks the technology aims to support. The theory is widely recognized and has been applied in various ways, but little work has been done to summarize and synthesize the application of TTF in literature. The aim of this study is to identify and summarize the focus areas of studies that applied TTF, the environment in which it was applied, and the technologies which were considered by conducting a scoping review. It was found that applied studies focused primarily on generating theory or assessing certain real-world phenomena; was applied in a wide range of environments with the majority being in healthcare; and considered various technologies, with an increasing number of studies focusing on mobile technology. The findings of this study contribute to the understanding of TTF applications and assists in framing future research to further analyze TTF studies.

**Keywords:** Task-technology fit, Information Technology.

# 1 Introduction

Technology has become a fundamental aspect of our society and is embedded into every-
ryday life. The way individuals and organizations work and think continues to be
shaped by, and shape, various technologies [1]. In an organization, technology is typi-
cally applied to generate value by improving or supporting individual and collective
tasks but do require a lot of resources for the acquisition, implementation and usage of
the various technologies. Therefore, a common question is how much value the tech-
nology creates for an organization [2].

Due to the complexity of the interactions between factors such as the technology,
users, systems, tasks and process it is extremely difficult to directly measure the value
that technology creates in a system [1, 3]. Alternative measures have therefore been
proposed to quantify the impact of technology. One such measure, widely accepted in
Information System (IS) research [4], is the Task-Technology Fit (TTF) theory which

<footnote n="1">¹ Stellenbosch University, Department of Industrial Engineering, South Africa</footnote>

<footnote n="2">² Stellenbosch University, Department of Industrial Engineering AND DST-NRF CoE in Scien-
tometrics and Science, Technology and Innovation Policy (sciSTIP), Stellenbosch University
South Africa</footnote>

<footnote n="3">³ School of Computing, CSIR Meraka & UNISA, Pretoria, South Africa</footnote>
has been suggested to be “one of the most important developments in information sys-
tem theory” [5]. TTF provides a means to quantify the effectiveness of technology in
an organizations [6]. In 2012, Furneaux [7] identified the “notable increase in the use
of TTF theory”. This trend has continued over the years, with both an increase in the
yearly number of documents published as well as in the range of environments which
the theory is used, as discussed in this paper.

Despite the wide use of the theory, only two publications by Cane and McCarthy [8] and the work by Furneaux [7] was found that summarizes and synthesizes TTF related studies. The article by Cane and McCarthy [8] is limited to a small number of studies, all of which were conducted before 2006, and only considered how the studies defined TTF and its surrounding components. Furneaux [7] considered a much larger sample of studies where TTF was used, all of which were conducted before 2010, to synthesize the conceptualization, methodologies and research contexts. Where both of the former studies focused primarily on *how* TTF was applied, this study is concerned with *why*, *where* and *on what* TTF was applied.

The aim of this paper is to conduct a scoping review (SR) aims to explore the appli-
cation of the Task-technology fit theory by (1) identifying the scope and range of the
available literature that applies the specific components of TTF; and (2) summarizing
and disseminating the research findings, specifically, (a) the purpose of applying TTF,
(b) the environments where TTF has been applied, (c) the technologies that TTF has
been applied on. Based on these objectives, the research questions to be answered in
this paper are: (1) What are the intentions for applying TTF? (2) Which environments
has TTF been applied in? (3) What technologies has TTF been applied on?

2 Conceptualization of Task-Technology Fit

In this section, the TTF model, proposed in the seminal article by Goodhue and Thompson [3], is discussed. Goodhue and Thompson [3] state, "*Models are ways to structure what we know about reality, to clarify understandings, and to communicate those understandings to others.* Once articulated and shared, a model can guide thinking in productive ways, but it can also constrain our thinking into channels consistent with the model, blocking us from seeing part of what is happening in the domain we have modeled."

The basic TTF model, depicted in **Fig. 1**, therefore provides a lens of technology usage and the value that it creates [3]. In a setting where technology is used by individual's to perform certain tasks, or sets of tasks, the model's premise is that the value/performance of technology is created by the alignment, or fit, of the task requirements and the technology characteristics that allow a user to perform the tasks [6, 9].
<figure><img src="image_2.png" /></figure>

Tasks refer to the totality of physical and/or cognitive actions and processes done by individuals in a given environment. Task characteristics are considered specifically in relation to the technology that supports the tasks and are broken down to different levels of detail, depending on the complexity of the tasks performed [3, 10].

Applying the TTF theory in different environments will result in different specific task characteristics. However, in literature, the process followed to identify the task characteristics are similar and typically involve analyzing the tasks performed in an environment and creating various task categories and subcategories that can be related to TTF [4, 6, 11–13].

Technology is defined as the tools that are used by individuals to execute, or assist in executing, their tasks [3, 10, 14]. Similar to the discussion of task characteristics, different technologies will have different characteristics which are defined by the researcher with consideration to the environment which it used in and the tasks it aims to support [15].

TTF is defined as the extent to which a technology assists an individual in performing his or her tasks [3, 10, 14, 16–18] and is consequently affected by the interaction between the characteristics of the task and the functionalities of the technology [4]. Typical dimensions that are considered when measuring fit, as defined by Goodhue and Thompson [3], are data quality, data locatability, authorization to access data, data compatibility, ease of use/training, production timeliness, systems reliability, information system relationship with users.

The purpose of the study by Goodhue and Thompson [3] was to show that a positive impact of technology requires a good TTF. Thus, when technology fits the task characteristics it aims to support, it should result in improved performance [9]. The improved performance is typically due to the smooth execution of the task, reducing the cost of performing the task, or making the task easier to accomplish [4].

# 3 Methodology

In 2005, Arksey and O'Malley [19] published the influential article in which it was discussed that there exists ambiguity in the “plethora of terminology” which is used to describe various reviews of literature. The article makes the case that literature review methodologies provide a set of tools which may be used by researchers and that there does not exist an “ideal type” of literature review.

The article argues for SRs to be used to develop an overview of domain knowledge. This is achieved by identifying the quantity of literature and analyzing key features of the literature which differs slightly from traditional systematic reviews which aim to
comprehensively synthesize literature. The SR does however follow a similar method-
ological approach as traditional systematic reviews and can also be considered to be
replicable and reliable. These features of the SR make it a suitable methodology to
answer this study's research questions.

The SR conducted in this study follows the first five stages of the methodology pro-
posed by Arksey and O'Malley [19], namely, to (1) identify the research question; (2)
identify relevant studies; (3) select studies; (4) chart the data; (5) collate, summarize
and report the results.

The first stage is completed in the Section 1 of this study and stages 2-5 are discussed
in the following sections and subsections.

**3.1 Search Strategy**

To identify relevant studies that can be used to answer the research questions, a search
was conducted on the Scopus research database. Scopus was chosen due to the large
number of indexed journals covering a wide range of disciplines. Relevant studies were
considered articles published in peer-reviewed journals that *apply* the TTF theory as
part of the primary aim of the study and includes any studies that summarizes work
done. In literature, it was found that the term *application*, in relation to TTF, is used in
a broad manner, extending to the use of smaller concepts, adaptations and findings of
TTF as part of the studies. In this paper, *application* (of TTF) is used in a specified
manner, to only consider where TTF is used as conceptualized in Section 2.

An exploratory search was conducted with the terms "Task-technology fit" OR "technology-to-performance". The titles and abstracts of the top ten cited articles and top ten most recent articles were examined to identify relevant keywords to be included to ensure the comprehensiveness of the search. Variations of the terms evaluate, apply, diagnose and assess were found to be relevant and included in the search. The search was conducted on 04 October 2019 with the search criteria including the terms ("Task-technology fit" OR "technology-to-performance") AND (evaluat* OR appl* OR diagn* OR assess*), limited to journal articles, which yielded 173 results.

Various measures were taken to ensure that all influential articles were included in
the study. Bibliometrix, an R-tool for comprehensive science mapping analysis [20],
was used to analyze the most cited articles out of the local 173 results, resulting in one
article being added. The tool was also used to determine the top locally cited authors.
A further search was done on Scopus and ResearchGate to determine whether any fur-
ther important studies has been published by these authors, resulting in two articles
being added. As a final measure, as full-text articles were screened, a list was compiled
of the literature each study used as a theoretical foundation. All of the items on the list
were however already included and therefore no further studies were added.

**3.2 Study Selection**

The research questions were used to define the inclusion criteria, and inversely the ex-
clusion criteria, as shown in **Table 1**. As discussed in the previous section, a large num-
ber of studies uses certain concepts of TTF without discussing or applying the theory
as conceptualized in Section 2, the three exclusion criteria was aimed to specifically eliminate these articles.

The titles and abstracts of the 176 studies were screened and 43 studies were excluded from the review based on EC 1. The online availability of the remaining 133 was checked and 5 were found to be unobtainable. The available full-text studies were downloaded, and the data of the studies was exported from Scopus into MS Excel.

<table><caption>**Table 1.** Inclusion and Exclusion Criteria</caption><thead><tr><th colspan="2">Inclusion Criteria</th><th>Exclusion Criteria</th></tr></thead><tbody><tr><td>IC 1</td><td>Application of the TTF</td><td>EC 1 No mention of TTF in abstract</td></tr><tr><td>IC 2</td><td>Thorough discussion of theory</td><td>EC 2 Isolate TTF concepts<br>EC 3 TTF not central to the study</td></tr></tbody></table>

The criteria were applied to the abstracts and the full-text articles and 91 studies were excluded due to the content being irrelevant to the study, based on EC 2 and EC 3.

The entire process followed in selecting relevant studies, based on the PRISMA statement for reporting systematic reviews [21], is depicted in **Fig. 2**.

<figure><img src="image_3.png" /><figcaption>**Fig. 2.** Study selection process. Adapted from [21].</figcaption></figure>

The study selection process resulted in a total of 37 studies, that applies or discusses TTF as conceptualized in Section 2, being included in the review. The process followed to identify and extract the data is discussed in the following section.
## 3.3 Charting the Data

The charting phases required the articles included in the review to be re-read thoroughly with the aim of extracting the data relevant to the research questions. A charting form was collectively defined by the researchers to ensure credibility of the data to be extracted. The full-text articles were imported into ATLAS.ti, software used for qualitative data analysis and the charting form was used to define the categories for the coding process. The full-text studies were then read through and coded as applicable.

# 4 Results

In this section, the results obtained from analyzing the studies are discussed to answer the research questions.

## 4.1 Study Categories

The coded data, identified as part of the process discussed in Section 3.3, was grouped together, and different levels of categories were defined, as depicted in **Fig. 3**. The first high-level category was defined as studies that apply TTF with the primary aim of generating theory, termed “Generate Theory”. The theory generated was found to be primarily concerned with defining or refining the measurements used for the TTF components or the TTF model; summarizing existing studies; testing the components and/or relationships of the TTF model.

The second high-level category was defined as studies that apply TTF in order to assess certain real-world phenomena, termed “Assess Phenomena”. These applications were concerned with two major aspects – the components, such as the technology characteristics, that are antecedents to TTF and the assessing effects of TTF. These studies concerned with assessing the effects were further broken down into those that assess the impact or benefit of TTF and those that assess factors relating to the use, or intention to use, of the technology based on TTF.

<table><caption>**Fig. 3.** Categorization of relevant TTF studies.</caption><tr><td rowspan="5">Relevant<br>TTF<br>Studies</td><td rowspan="4">Generate Theory</td><td>Measurements [6, 9, 15]</td></tr><tr><td>Model [3, 17, 22–25]</td></tr><tr><td>Summarize [8]</td></tr><tr><td>Test [26, 27]</td></tr><tr><td rowspan="2">Assess Phenomena</td><td>Antecedents [5, 13, 28–31]</td></tr><tr><td>Effects (19)</td></tr><tr><td></td><td></td><td>Impact/Benefit<br>[32, 33, 42, 34–41]</td></tr><tr><td></td><td></td><td>(Intention to) Use [4,<br>12, 16, 43–47]</td></tr></table>
The two high level categories were used to determine the trends in the type of studies published over time. The cumulative number of studies published for the two highest-level categories was calculated over time and depicted in

From the figure, it can be seen that a larger number of studies were initially published that aimed to generate theory and that as time progressed the focus shifted to the application of TTF to assess phenomena.

As the theory gained recognition, different aspects of the theory was refined and the impact of applying the theory for assessing different phenomena was recognized, the focus of studies is expected to shift from predominantly theory based to applying it, as seen in the increasing trend in the figure – eventually exponentially overtaking the theoretical.

<figure><img src="image_4.png" /><figcaption>Fig. 4. Cumulative number of studies over time for each study category.</figcaption></figure>

The assessment of TTF antecedents was only introduced in 2009, 11 years after the first application of the theory to assess the impact/benefit and is still an emerging area of research which does hold a lot of potential. Since the antecedents have an effect on TTF, applying the theory to assess these factors has shown to be beneficial in identifying improvements that can be made to ultimately improve TTF.

## 4.2 Application Environment

For each of the relevant studies, the specific environment in which the TTF was applied was identified, collectively categorized by the researchers and is summarized in Fig. 5.

The majority of the studies were applied in either a healthcare setting or in various different, but not explicitly identified, environments. Although the tasks performed in these different environments will vary greatly, the wide range of application environments provides evidence that the TTF can applied in diverse settings. Furthermore, the
diverse environments create the opportunity for interesting future research to be done
in the similarities and differences in the way in which TTF is applied.

<figure><img src="image_5.png" /><figcaption>**Fig. 5.** Divisions of TTF application environments.</figcaption></figure>

**4.3 Assessed Technology**

The technology used in each of the relevant studies was also identified, collectively categorized by the researchers and is summarized in **Fig. 6**.

<figure><img src="image_6.png" /><figcaption>**Fig. 6.** Divisions of the technology assessed in the relevant studies.</figcaption></figure>

Since the TTF theory is mainly part of IS research, it was expected that the application of TTF would primarily be concerned with IS. An interesting observation was the growing research interest in mobile technology. The first two relevant studies applying TTF
to mobile technology [15, 36] was published in 2004 after which the majority of future
published articles included in this study (40.7%) was focused on mobile technology.
This finding makes sense in considering the rapid uptake, improved capabilities and
gradual dependence on smartphone technology since 2004.

# 5 Conclusion

The TTF theory has been an important development in IS research and has been widely applied in various environments and on a range of technologies. This study aimed to identify and analyze relevant literature that applies the specific components of TTF to answer three research questions concerned with *why*, *where* and *on what* TTF was applied.

As part of the chosen SR methodology, a structured search and screening approach was followed to identify relevant studies, the detailed discussion on the process followed ensuring the reliability and replicability thereof. These studies were then analyzed, the data extracted, and the findings synthesized to answer the research questions. The implementation and discussion of the methodology ensured the validity and reliability of the study.

The first research question is answered in the analysis and synthesis of the intentions for applying TTF where various levels of categories were defined for the intentions. The categories were further used to determine specific trends over time, revealing how the focus of studies shifted from predominantly theory based to the application of TTF to assess various phenomena.

The analysis and synthesis of the application environment and assessed technology
revealed the wide range of environments and technologies associated with the applica-
tion of TTF, consequently answering both the second and final research questions.
These findings reveal the wide range of applicability of the TTF theory and also the
potential that it holds for both industry and academia in applying TTF in different en-
vironments and with new technologies.

The results of the scoping review are dependent on the studies included for analysis. The initial search for relevant articles is limited in that only one database was used to search for relevant articles. This may have resulted in further relevant works being excluded from this study. Various measures were however taken to ensure that all influential studies potentially missed in the search were included in this study. Although the intention was to define screening criteria in a manner that would ensure reliability and replicability of the screening process, the authors acknowledge that

Despite the limitations of the study, the findings of this study are valuable and further
assists in framing future research on the application of TTF. The different studies which
apply TTF may be further analyzed to determine trends in the methodologies followed
within and/or across the different application categories, environments and technolo-
gies. This in turn may be used to provide guidelines in the quantitative measurement of
different TTF constructs, given a specific intention for, and context of, use. The sug-
gested future research may assist in the classic pursuit to better understand, account for
and explain the impact of technologies within a system.
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