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First, this study aims to investigate the effects of quality perceptions (i.e. system quality, information quality and service quality) and perceived ubiquity on engineers’ perceived benefits and perceived user-friendly of mobile knowledge management systems (MKMS). Second, it aims to examine the influence of perceived benefits and perceived user-friendly on MKMS adoption intention.

Quantitative empirical research using an integrated technology acceptance model and information systems success model was used, among semiconductors engineers in Malaysia. There were only 375 usable responses collected, which are at a response rate of 59.52%. The partial least squares version 3.0 was used to analyze the valid data collected.

The results suggest that service quality plays an important role that would increase the engineers’ perception of MKMS benefits and its user-friendliness. Intention to adopt MKMS was found to be strongly predicted by perceived MKMS benefits as compared to perceived user-friendly.

The findings are valuable for managers, engineers, knowledge management (KM) practitioners, MKMS developers and mobile device producers to enhance MKMS adoption intention.

Despite KM has been well accepted and established in the management science and practice area of study, yet it is still neglected in a “mobile” context. Accordingly, this paper contributes to the research gap.

A mobile wallet (m-wallet) is a part of financial technology products and is still in the infant stage in Palestine. The technology acceptance model (TAM) formed the basis of the model development, which was extended in the study to include an analysis of how knowledge sharing (KOS), perceived value (PEV), perceived privacy awareness and control (PRI) and perceived security (SEC) influenced the primary TAM components of perceived ease of use (PEU), perceived usefulness (PRU) and intention to use m-wallets among Palestinian users.

This study used questionnaires as its primary data collection method. The questionnaires were distributed via online media, and the data collection period spanned from January 10, 2023, to February 21, 2023. The study received 360 responses from participants. Smart PLS and SPSS v.23 software were used to perform a method test on the collected questionnaire data.

The study’s findings demonstrate the factors influencing Palestinian users’ adoption of m-wallets by extending the Technology Acceptance Model (TAM) to include knowledge sharing, perceived value, privacy awareness and control and security, in addition to the main TAM elements, perceived ease of use (PEU) and perceived usefulness (PU), offering new insights into technology adoption in developing regions and addressing gaps in the literature.

This study has some limitations. First, it is limited because it looks at users’ intentions to use rather than their actual usage. The actual use of an m-wallet should be the topic of further research. Second, rather than focusing on Small and Medium Enterprises (SMEs), this study examined users’ intentions to use m-wallets. Thus, SMEs’ use of m-wallets may be studied in future research. Third, because the study users were from Palestine, the results may not be generalizable. Therefore, additional populations and cultures should be studied in future research. Fourth, the study used a convenience sample of 282 users. As a result, it is not easy to generalize to a sizable population. Future studies should use larger sample sizes or random samples. Finally, this study examined the direct relationship between independent and dependent variables. Future research may consider personal innovativeness and artificial intelligence as potential moderators.

User knowledge sharing can be an important factor driving user intention to use m-wallet. Users can raise awareness of m-wallets by sharing their knowledge and experiences with others about their uses, features and advantages. This is particularly useful in a country like Palestine, where m-wallets are not widely accepted or used. Therefore, m-wallets service providers should improve their services to motivate the users to share their knowledge with others to increase user intention to use. For instance, m-wallet service providers can provide user support programs that assist users in resolving issues, responding to inquiries and offering feedback on the service. Additionally, m-wallet service providers can enhance the user experience of their m-wallet by providing user-friendly interfaces, quick and dependable service and robust security features. By improving the user experience and providing users with a supportive and responsive environment, service providers can encourage users to share their positive experiences with others and increase user intention to use the m-wallet. User knowledge sharing can be an important factor driving user intention to use m-wallet. Users can raise awareness of m-wallets by sharing their knowledge and experiences with others about their uses, features and advantages. This is particularly useful in a country like Palestine, where m-wallets are not widely accepted or used. Therefore, m-wallets service providers should improve their services to motivate the users to share their knowledge with others to increase user intention to use. For instance, m-wallet service providers can provide user support programs that assist users in resolving issues, responding to inquiries and offering feedback on the service. Additionally, m-wallet service providers can enhance the user experience of their m-wallet by providing user-friendly interfaces, quick and dependable service and robust security features.

The widespread adoption of m-wallets is an important area of research, as it has significant theoretical implications for technology adoption. M-wallets provide an easy and secure way to pay without cash or physical cards. Therefore, identifying the factors affecting users’ intention to use m-wallets can help Palestinian m-wallet service providers to develop their marketing strategies. Extending the TAM to include four important factors (knowledge sharing, perceived value, perceived privacy awareness and control and perceived security) has improved our understanding of technology adoption models. The study empirically examines the intentions of Palestinian users to use m-wallets and how this novel technology is used in this area of the Arab world. The results empirically support that these factors strongly affect users’ intentions to use m-wallets. Thus, this study fills the knowledge gap about the factors influencing the use of m-wallets in Palestine and adds to the literature on the user intentions to use new technologies. Finally, this study is one of the first to examine the relationship between knowledge sharing, perceived value, perceived privacy awareness and control, perceived security and technology acceptance models in general and the extended TAM with these factors in a specific m-wallet context.

The preliminary empirical study investigates the factors affecting the use of m-wallets in Palestine by extending TAM with knowledge sharing, perceived value, perceived privacy awareness and control and perceived security as external variables to the model. The findings of this study help to fill a gap in the existing literature by identifying key variables that affect Palestinians’ intentions to use m-wallet. This study also contributes to the increase in knowledge in the area. To date, no studies have explored privacy in terms of awareness, control and knowledge sharing as essential factors that affect users’ intention to use m-wallets in Palestine.

This study delves into how perceived ease of use and perceived usefulness impacts consumer attitude and intention to adopt digital technologies in Ghana.

We utilized covariance-based structural equation modeling with a dataset consisting of 204 respondents to evaluate the model. The analysis was conducted using R (version 0.6–12).

The results confirm that both perceived ease of use and perceived usefulness are key predictors of the intention to adopt technology. Additionally, factors such as attitude, subjective norms and perceived behavioral control also play a significant role in influencing adoption intent. Notably, the research indicates that perceived ease of use not only impacts peer influence among consumers, but also shapes their confidence in effectively using the technology. Furthermore, in contrast to previous studies, this investigation suggests that while perceived behavioral control impacts behavioral intent, it does not predict attitude in the Ghanaian context. The study advocates for development of user-centric technologies, promotion of digital literacy and cultivation of a digital culture.

Our use of a single country data restricts generalizability of the study. For a more comprehensive and profound understanding, we recommend a broader study across multiple sub-Saharan African countries with a mixed method or qualitative approach.

The significance of this research lies in its original contribution to the field in providing crucial insights for governments and industry players. It sheds light on factors influencing user readiness to adopt technology and makes a substantial contribution to the ongoing discussion on digital technology adoption in literature.

Perceived risk and benefits have been proposed as crucial elements in consumers’ technology adoption intention. Therefore, this study aims to use the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework, with perceived risks and benefits, to explore how they affect consumers’ Buy-Now-Pay-Later (BNPL) behavioural intention.

An online survey was conducted among 537 users of BNPL. Partial least square structural equation modelling analysis was performed to examine the hypothesized relationships.

The study found that perceived benefits, performance expectancy, effort expectancy, habit and social influence increase consumers’ behavioural intention towards BNPL. In contrast, perceived risk reduces the consumer’s intention to use. Additionally, the study revealed that consumers’ intention towards BNPL services positively affects their usage.

The lack of information makes consumers hesitant to use BNPL. Therefore, marketers should optimize facilitating conditions, such as user-friendly interfaces, accessible resources and efficient customer support, which should be the business strategy of BNPL service providers to ensure a seamless user experience.

The research empirically investigates the effect of perceived benefits on consumer behavioural intention. This contribution is crucial because while there was speculation about benefits as a driving force to consumers’ adoption intention, there was a lack of sufficient empirical evidence to support it.

The introduction of digitalisation in the shipping industry has fundamentally transformed traditional business models. This necessitates an investigation of its impact on customer satisfaction. This study aims to adapt the technology acceptance model in its survey instrument design to understand and evaluate customer satisfaction of shipping lines’ digital platforms.

This study used a mixed-methods approach, incorporating quantitative and qualitative research techniques. Primary data were collected through an online survey designed to measure customer satisfaction in relation to the digitalisation initiatives implemented by the shipping lines. Survey respondents comprised professionals who were online platform users, particularly in the instant spot quotation process and blockchain bill of lading.

The results for both instant spot quotation process and blockchain bill of lading revealed digital trust to be the most influential determinant of customer satisfaction, followed by perceived ease of use and perceived usefulness. There was also a very strong correlation between perceived ease of use and perceived usefulness as well as between digital trust and perceived ease of use. The managerial implications of digitalisation are also discussed.

The adoption of digital tools is gaining traction in the container shipping sector, and there exists a need to investigate the correlation between digitalisation and customer satisfaction. This study offers significant insights to stakeholders in the shipping industry, particularly in designing and implementing user-friendly digital platforms.

Scholarly research on e-procurement has been limited and, like e-government, e-procurement has been researched primarily from the perspective of adoption/non-adoption. This paper aims to focus on public administration employees’ perceptions of the quality of národní elektronický nástroj (NEN) – the Czech national e-procurement tool they are required to use.

The paper is based primarily on statistical analysis of data obtained through two questionnaire surveys addressed to contacts from of all Czech central state administration bodies using NEN; 175 completed questionnaires were gathered in 2020 and 128 in 2022 and subjected to statistical analysis in SPSS.

NEN was launched as fully operational in August 2015. The research indicates that in 2022 there were still important gaps in the quality of NEN as perceived by public employees.

The paper has important practical implications for e-procurement policymakers. It shows that making the e-procurement system compulsory is not sufficient. The government needs to guarantee that it would be competitive with tools that would otherwise be preferred. Otherwise, the application of the digital-by-default principle may lead to institutionalisation of services that are not user-friendly. This has important implications for e-government/e-procurement management and change management.

Little is known about public employees’ perceptions of the quality of e-government and e-procurement. Although e-procurement is an area where the digital-by-default principle was implemented rather early, the quality of e-procurement has still received limited attention in research.

The proliferation of smartwatches in the digital age has radically transformed health and fitness management, offering users a multitude of functionalities that extend beyond mere physical activity tracking. While these modern wearables have empowered users with real-time data and personalized health insights, their environmental implications remain relatively unexplored despite a growing emphasis on sustainability. To bridge this gap, this study extends the UTAUT2 model with smartwatch features (mobility and availability) and perceived security to understand the drivers of smartwatch usage and its consequent impact on environmental sustainability.

The proposed theoretical model is evaluated based on data collected from 303 smartwatch users using a hybrid structural equation modeling–artificial neural network (SEM-ANN) approach.

The PLS-SEM results supported smartwatch features’ effect on performance and effort expectancy. The results also supported the role of performance expectancy, social influence, price value, habit and perceived security in smartwatch usage. The use of smartwatches was found to influence environmental sustainability significantly. However, the results did not support the association between effort expectancy, facilitating conditions and hedonic motivation with smartwatch use. The ANN results further complement these outcomes by showing that habit with a normalized importance of 100% is the most significant factor influencing smartwatch use.

Theoretically, this research broadens the UTAUT2 by introducing smartwatch features as external variables and environmental sustainability as a new outcome of technology use. On a practical level, the study offers insights for various stakeholders interested in smartwatch use and their environmental implications.

This study discusses the effects of diffusion and adopters of mobile banking services (MBSs), perceived risk, brand awareness, and brand image of MBS providers, on attitude toward using MBSs, and on intention to use MBSs. In accordance with sample usage frequency in MBSs, this study subgroups the sample population into several behavioral segments (frequent/infrequent users) to concentrate sample characteristics and the behavioral models.

Data from the 610 valid questionnaires collected in Taiwan were analyzed by SPSS and LISREL. In accordance with sample usage frequency in MBSs, this study subgroups the sample population into several behavioral segments (frequent/infrequent users) to concentrate sample characteristics and the behavioral models.

Analytical results demonstrate that mobile banking users with different behavioral patterns have dissimilar perceptions of innovation benefits and risk. Moreover, brand awareness and brand image of the MBSs provider are crucial exogenous factors associated with attitude and intention to use MBSs. Finally, this study presents several suggestions for researchers, bankers, and marketers.

This study examined MBSs in Taiwan, with an enhanced investigation model includes diffusion of innovation, TPA, second‐order risk sub‐dimensions, and brand effects on attitude and intention. The contributions of this study includes: this is the first study that incorporate brand awareness, and brand image in discussing mobile banking adoption behavior; meanwhile, this study incorporate a five factors risk structure, discussing perceived risk detailed in financial risk, performance risk, time risk, psychological risk, and privacy risk. Furthermore, this study is the first study that has differentiated between different consumer types: frequent and infrequent users. The findings of this study is practical in providing MBS for bankers.

The main purpose of this study is to identify the determinants that inhibit the adoption or usage of digital payment systems (DPSs) in India.

This study used a qualitative technique, including in-depth semi-structured interviews. Data analysis was conducted using thematic analysis, incorporating both deductive categorisation and inductive coding to identify factors responsible for the non-adoption or discontinuation of DPS use.

The findings are in the form of themes and sub-themes that were generated from the data analysis: digital divide (DD), which includes the digital access divide, digital capability divide and digital innovativeness divide; socio-demographic divide (SD), which includes education, geographical location, gender, age and income; psychological barriers, which include a lack of perceived ease of use, vulnerability to risks, technophobia and a lack of trust; and other barriers, which include a lack of awareness, a cash-dominated society and a lack of interoperability.

The factors identified in this research can be further validated and tested in future studies using quantitative data. This will enable stakeholders to better comprehend the impacts of these factors on DPS adoption or usage.

The study’s practical implications are specifically relevant to the Union Territory (UT) administration of Ladakh, as there is a DD and an SD among different sections of the population of the UT of Ladakh. UT administrations must prioritise efforts to eliminate these divides. The implications for banks and DPS providers are that they should conduct financial literacy training about DPSs in remote rural areas and invest in developing user-friendly and simplified DPS user interfaces to improve relationships with DPS users and their long-term retention.

The findings of this study reveal the three levels of the DD that determine DPS adoption or usage, which have not been discussed together in the literature in the DPS context and that must be addressed to expand DPS adoption, thus providing a more holistic view of the DD in the context of DPS.

The use of electric vehicles has received popularity as alternative fuel vehicles to reduce greenhouse gas emissions and energy cost, which are expected to perform a crucial role in the near future of emerging mobility markets. The purpose of this empirical study is to analyse the role of electric vehicle knowledge in predicting consumer adoption intention directly and indirectly in the backdrop of an emerging market.

The study approached an extended version of “Technology acceptance model” (TAM) based on the integrated framework of “knowledge-beliefs-intention”. The model was tested via direct and indirect path analyses with the data collected from Indian respondents using an online survey.

The results indicate the robustness of the present research model, which shows that consumer adoption is significantly driven by electric vehicle knowledge, perceived usefulness, perceived ease of use and perceived risk. Electric vehicle knowledge has emerged as the most powerful cognitive measure, which directly affects the adoption intention along with the measures of “TAM”. Additionally, this also poses a higher indirect effect on adoption intention in the integrated model.

The study has focused on potential young and educated consumers, which may not be warranted to generalise the research findings, while youth or millennials are more receptive to adopt innovative and clean technology products like electric vehicle. Based on the findings, implications are offered for encouraging electric vehicles in the backdrop of emerging automobile markets.

Concerning this cognitive phenomenon of knowledge, scant literature has been explored the role of subjective knowledge in consumer adoption for electric vehicles, particularly in the emerging markets like India. Thus, the present study analyses how consumers' knowledge about electric vehicle affects their decision to adopt this in the near future of Indian zero-emission mobility market.