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Information and communications technology (ICT) offers enormous opportunities for individuals, businesses and society. The application of ICT is equally important to economic and non-economic activities. Researchers have increasingly focused on the adoption and use of ICT by small and medium enterprises (SMEs) as the economic development of a country is largely dependent on them. Following the success of ICT utilisation in SMEs in developed countries, many developing countries are looking to utilise the potential of the technology to develop SMEs. Past studies have shown that the contribution of ICT to the performance of SMEs is not clear and certain. Thus, it is crucial to determine the effectiveness of ICT in generating firm performance since this has implications for SMEs’ expenditure on the technology. This research examines the diffusion of ICT among SMEs with respect to the typical stages from innovation adoption to post-adoption, by analysing the actual usage of ICT and value creation. The mediating effects of integration and utilisation on SME performance are also studied. Grounded in the innovation diffusion literature, institutional theory and resource-based theory, this study has developed a comprehensive integrated research model focused on the research objectives. Following a positivist research paradigm, this study employs a mixed-method research approach. A preliminary conceptual framework is developed through an extensive literature review and is refined by results from an in-depth field study. During the field study, a total of 11 SME owners or decision-makers were interviewed. The recorded interviews were transcribed and analysed using NVivo 10 to refine the model to develop the research hypotheses. The final research model is composed of 30 first-order and five higher-order constructs which involve both reflective and formative measures. Partial least squares-based structural equation modelling (PLS-SEM) is employed to test the theoretical model with a cross-sectional data set of 282 SMEs in Bangladesh. Survey data were collected using a structured questionnaire issued to SMEs selected by applying a stratified random sampling technique. The structural equation modelling utilises a two-step procedure of data analysis. Prior to estimating the structural model, the measurement model is examined for construct validity of the study variables (i.e. convergent and discriminant validity).

The estimates show cognitive evaluation as an important antecedent for expectation which is shaped primarily by the entrepreneurs’ beliefs (perception) and also influenced by the owners’ innovativeness and culture. Culture further influences expectation. The study finds that facilitating condition, environmental pressure and country readiness are important antecedents of expectation and ICT use. The results also reveal that integration and the degree of ICT utilisation significantly affect SMEs’ performance. Surprisingly, the findings do not reveal any significant impact of ICT usage on performance which apparently suggests the possibility of the ICT productivity paradox. However, the analysis finally proves the non-existence of the paradox by demonstrating the mediating role of ICT integration and degree of utilisation explain the influence of information technology (IT) usage on firm performance which is consistent with the resource-based theory. The results suggest that the use of ICT can enhance SMEs’ performance if the technology is integrated and properly utilised. SME owners or managers, interested stakeholders and policy makers may follow the study’s outcomes and focus on ICT integration and degree of utilisation with a view to attaining superior organisational performance.

This study urges concerned business enterprises and government to look at the environmental and cultural factors with a view to achieving ICT usage success in terms of enhanced firm performance. In particular, improving organisational practices and procedures by eliminating the traditional power distance inside organisations and implementing necessary rules and regulations are important actions for managing environmental and cultural uncertainties. The application of a Bengali user interface may help to ensure the productivity of ICT use by SMEs in Bangladesh. Establishing a favourable national technology infrastructure and legal environment may contribute positively to improving the overall situation. This study also suggests some changes and modifications in the country’s existing policies and strategies. The government and policy makers should undertake mass promotional programs to disseminate information about the various uses of computers and their contribution in developing better organisational performance. Organising specialised training programs for SME capacity building may succeed in attaining the motivation for SMEs to use ICT. Ensuring easy access to the technology by providing loans, grants and subsidies is important. Various stakeholders, partners and related organisations should come forward to support government policies and priorities in order to ensure the productive use of ICT among SMEs which finally will help to foster Bangladesh’s economic development.

The internet technology becomes an essential tool for individuals, organizations, and nations for growth and prosperity. The purpose of this paper is to integrate the DeLone and McLean IS success model with task-technology fit (TTF) to explain the performance impact of Yemeni Government employees.

Questionnaire survey method was used to collect primary data from 530 internet users among employees within all 30 government ministries-institutions in Yemen. The four constructs in the proposed model were measured using existing scales. The data analysis starts with initial exploratory factor analysis, then confirmatory factor analysis and lastly structural equation modeling via AMOS.

The results showed that the proposed integrated model fits the data well. Findings of the multivariate analysis demonstrate four main results. First, actual usage has a strong positive impact on user satisfaction, TTF, and performance impact. Second, user satisfaction has a great influence on performance impact. Third, TTF has a strong positive impact on user satisfaction and performance impact. Fourth, both user satisfaction and TTF mediate the relationship between the actual usage and performance impact.

The public sector in Yemen contains three parts: Yemeni prime minister, Yemeni ministries, and government agencies. This study focuses only on the Yemeni employees among Yemeni ministries; hence the results are not necessarily generalizable. Moreover, there are biases when the researcher measures the actual Internet usage variable through asking a participant about their opinion regarding their usage because these are generally found to differ from the true score of system usage.

The findings should be very useful for the Yemeni Government in presenting the importance of information technology effects on individual efficiency and effectiveness. Therefore, the information from these findings should encourage and support the formation of future policy at the organizational level and national level. If the government utilizes these findings by setting up strategies to promote internet usage, this may, in turn, improve professional practice, personal development, and quality of working life.

This paper adds to the existing literature of information systems by combining actual technology usage, user satisfaction, and TTF to predict performance impact within the organizations. Furthermore, this study proposed a second-order model of performance impact in order to increase the power of explaining the output by the model, which contains four first-order constructs: process, knowledge acquisition, communication quality, and decision quality. The predictive power of the proposed model has a higher ability to explain and predict performance impact compared to those obtained from some of the previous studies.

While many researchers have investigated the adoption and usage of online learning in different settings, one area that has yet to be examined thoroughly, particularly in the context of online learning in Yemen, is the self-efficacy role. The purpose of this paper is to extend the Delone and McLean information system success model by incorporating a self-efficacy construct as an antecedent to user satisfaction and actual usage to predict student performance.

Questionnaire survey method was used to collect primary data from 448 students in nine public universities in Yemen. The six constructs in the proposed model were measured using existing scales. The data analysed using confirmatory factor analysis and structural equation modelling via AMOS.

Three main results were revealed, namely that overall quality (system, information and service quality) and self-efficacy have a positive impact on user satisfaction and actual usage; that actual usage significantly predicts user satisfaction; and that both user satisfaction and actual usage have a positive impact on student performance.

First as the study population were students from nine public universities, it excluded academics and administrative staff. Second, the study depends on self-reported measures to test the proposed research model. This is because getting objective data about the performance was not probable due to the issue of privacy.

The findings of this study can be a guideline for Yemeni higher education institutions to develop efficient and effective plans to improve the performance of education institutions, and train and develop student ability to use online learning. Additionally, it highlights the areas that university management needs to concentrate on, namely information systems (IS) tools that will contribute to higher student enrolment, address the lack of infrastructure and improve the quality of education outcomes, things which represent Yemen’s main challenges in the higher education sector.

This paper adds to the existing literature of IS by combining overall quality, self-efficacy, actual usage and user satisfaction to predict performance impact of online learning among students in nine public universities in Yemen. Furthermore, the predictive power of the proposed model has a higher ability to explain and predict performance impact compared to those obtained from some of the previous studies.

This paper aims to determine factors that influence people living with HIV (PLHIV) to engage in internet-based HIV information seeking behaviour in selected Tanzanian public regional hospitals.

The authors conducted a questionnaire-based survey to 221 PLHIV in two regional public hospitals in Mwanza and Dar es Salaam, Tanzania. They assessed the validity and reliability of the measurement model by using exploratory factor analysis and also used hierarchical regressions to examine the research hypotheses by using Statistical Package for Social Science.

The study found that there is low usage of internet (24.3 per cent) to search online HIV information. Factors related to attitude and information source accessibility predicted usage intentions of internet, while facilitating conditions, information source accessibility and usage intention of internet determined actual use of internet among PLHIV. Age moderated the effects of information source quality and social influence on usage intention of internet, and the effects of the information source accessibility and social influence on actual use of internet. The findings imply that younger PLHIV were more likely to use internet to access HIV information than the older respondents due to perceived ease of accessing information and quality of the online content. Further, older PLHIV were more influenced by the views of others when making decisions to use internet.

Health-care providers and libraries need to conduct regular studies on health needs of patients, and promote benefits of accessing online information; website designers need to design user-friendly databases; public libraries need to include a section on health information; hospital and public librarians need to provide catalogues of health information resources on their websites; and health-care providers need to improve technological infrastructure.

This is a comprehensive study that provides empirical findings to better understand the HIV information seeking behaviour from actual internet users, particularly factors that may influence PLHIV to seek online information in Tanzania.

This research aims to explore factors influencing accountants' usage of enterprise resource planning (ERP) at a global development agency. The paper tests a model, which hypothesised that attitudes, performance expectancy, effort expectancy, social influence and self-efficacy would have significant and positive effects on behavioural intention to use, and facilitating conditions and behavioural intention would have significant and positive effects on frequency of use (actual usage).

The study utilised a quantitative approach through an online survey of 104 respondents from the different countries that the organisation operates within.

Using multiple regression analysis, the findings showed that attitudes towards use, performance expectancy, self-efficacy and effort expectancy were significant predictors of behavioural intention to use the ERP system. Behavioural intentions and facilitating conditions significantly and positively influenced actual ERP usage. Social influence was found to be non-significant.

The study used a small sample drawn from a single organization.

The paper tests a model of usage of ERP and identifies those factors that are likely to influence ERP usage in a global development agency.

The paper supplements the existing literature on ERP usage in global organizations.

The study seeks to investigate factors that affect the adoption and use of open access in Tanzanian health sciences universities.

Based on a cross-sectional questionnaire survey, 415 faculty members were selected through a stratified random sampling from a population of 679 in all eight health sciences universities in Tanzania. The response rate was 71.1 per cent.

Based on the social exchange theory (SET), and the Unified Theory of Acceptance and Use of Technology (UTAUT), the study developed a model suitable for assessing open access adoption and usage in academic institutions. The study found that facilitating conditions, extrinsic benefits (professional recognition), behavioural intention and individual characteristics (professional rank, technical skills and number of publications) predicted actual usage of open access. Other factors related to contextual factors (attitude, and open access culture), and extrinsic benefits (academic reward, accessibility and preservation) determined behavioural intention to use open access. Fear to violate publisher's copyright policies and effort expectancy however de-motivated faculty to adopt open access, while copyright concerns inhibited faculty's actual usage of open access.

This is the first comprehensive study focusing on the health sciences faculty's open access adoption and usage behaviour in Africa, and Tanzania in particular, and reveals findings that are useful for planning and implementing open access initiatives in other institutions with similar conditions.

The purpose of this paper is to define supply chain information utilisation and explore how its antecedents impact shared information utilisation in information receiver’s planning processes.

The analysis is based on a literature review and exploratory case study of three supplier dyads of original equipment manufacturers. This study presents a four-phase model of supply chain information utilisation, and identifies how information sharing, information quality, and intended information usage are antecedents of actual usage of information shared in supply chains. In the dyads, 35 potential information utilisation situations are analysed.

Inter- and intra-organisational factors are antecedents of information utilisation, by their effects on the four phases of utilisation. Composite information sharing, social network governance, human process involvement, and formal planning processes are important antecedents, which are not much emphasised in the literature.

The study focusses on routinised sharing of formal demand-related planning information in supply chain dyads. The analysis is based on three case dyads which are chosen to be complementary in several respects, and where there is access to rich data.

Understanding phases and antecedents could support managers in developing information sharing strategies.

The literature does not explicitly consider information utilisation, or related antecedents or effects. However, by defining information utilisation and proposing a multi-phase utilisation model, this study can explain the performance effect of information sharing. In addition, the composite information variable is defined. This is the first attempt to conceptualise and explore antecedents of information utilisation in supply chains.

This study aims to investigate the technology usage behaviour of the tourists in line with the modified unified theory of acceptance and use of technology (UTAUT) model.

Data were collected from a survey of 265 tourists using the random sampling technique. Partial least squares-based structural equation modelling (PLS-SEM) technique was used to analyze the data.

The findings revealed that performance expectancy, hedonic motivation and habit significantly influence the behavioural intention of tourists to use information and communication technology (ICT), while effort expectancy, social influence, and facilitating conditions do not have a significant influence. However, actual ICT usage behaviour largely depends on the behavioural intention of the tourists, and their habits, while the facilitating conditions do not have any influence in this case.

The findings uncover the core factors influencing tourists' actual ICT use behaviour that can assist the concerned stakeholders in designing tourism planning and sales. The study results also offer pathways for the world's tourism industry for a healthy recovery from the COVID-19 pandemic.

The findings have made robust contributions by extending the existing UTAUT-based literature by adding two new moderators in the relationship between behavioural intention and actual ICT usage behaviour.

The purpose of this study was to identify existing users' acceptance of the multidimensional health and fitness features of wrist-worn wearable devices (WWDs) required for each stage of physical activity (i.e. before, during and after) and examine the relationship between its acceptance (i.e. knowledge acquisition, perceived usefulness and perceived ease of use) and the actual use of its health and fitness attributes.

Both qualitative and quantitative approaches were taken to analyze the relationships. A focus group interview was conducted (N = 9) to design the research model, including the operationalized definition of the study constructs. A questionnaire survey was conducted with respondents in South Korea (N = 480). Partial least squares structural equation modeling via Smart PLS 3.0 was employed to test the hypotheses.

When users learned to use fitness functions and perceived them as useful for physical activity without causing any difficulty, they tended to use those functions more, which provided enhanced health benefits in the digitalized interactive environment of WWDs.

This research is one of the first to examine the relationship between the perceived user value of WWDs and their actual usage within a digitalized and interactive environment. The results are expected to offer theoretical insights into how well users accept the health and fitness components of WWDs. Practically, it will build awareness of what makes users adopt and use WWDs, helping practitioners design better health promotions and campaigns associated with WWDs.

The purpose of this paper is to propose and test a comprehensive model that captures individual, system and situational drivers of customers’ intention to use and actual use of self-service technologies (SSTs).

This paper is based on a survey conducted among 143 users and 150 non-users of SSTs at the exit of a grocery store. The proposed model was analysed using structural equation modelling and a logistic regression.

The results demonstrate that: first, in addition to previous usage behaviour (i.e. usage frequency), situational factors (time pressure, basket size, coupons and queue length at the SSTs and staffed checkouts) influence customers’ decisions to use SSTs during a specific shopping trip; and second, perceived behavioural control is the most important determinant of behavioural intention, followed by perceived usefulness, need for interaction and perceived ease of use and enjoyment.

Although an abundance of research has investigated the adoption of SSTs, little is known about what drives real usage. This study considers the actual usage of SSTs in a specific context, as well as the situational factors that influence the choice of SSTs over traditional checkouts. In addition, this paper provides an integrative model including actual usage, use frequency and behavioral intention and its antecedents by extending the Technology Acceptance Model 3.