Facilitators and inhibitors of attitude and word-of-mouth intention toward adoption of digital municipal service systems: A stimulus-organism-response approach

Increased technology adoption has significantly transformed how governments interact with citizens. Today, e-government services and tools are integral to modern public administration. Factors affecting users' adoption of e-government services have been studied in the past. However, this study focuses on citizens' acceptance and resistance to such services, which have not been thoroughly explored. This study addresses the gap by examining the facilitators and inhibitors affecting users' perceptions of the Digital Municipal Service System (DMSS). An integrated research model was developed based on the Stimulus-Organism-Response (SOR) framework. Using Smart-PLS, the study validated 353 respondents' data collected from Bangladesh. The study revealed that platform quality, convenience, social, and inclusiveness values significantly influenced attitudes toward DMSS adoption. On the other hand, tradition and usage barriers significantly negatively impacted attitudes toward DMSS adoption. These findings offer important insights for policymakers involved in developing and implementing e-government services in emerging economies such as Bangladesh. The study also provides a foundation for further research on technology adoption.

The determinants of Mobile government services adoption: The moderating effect of perceived government support (PGS)

This study holds the view that the m-government success depends on the adequate intervention and support of government. Given this, the study seeks to investigate the role that government support can play on m-government services acceptance. Particularly the study examines the moderating influence of perceived government support (PGS) on m-government services usage. A structural equation model (SEM) method was deployed with Smart PLS 3.0. Analysis from the data captured using a comprehensive Unified Theory of Acceptance and Use of Technology (UTAUT) model, demonstrated that contrary to the initial held view, performance expectancy (PE) did not impact the acceptance behavior of m-government services. Facilitating conditions, security and privacy, trust in m-government and quality of information had a direct positive influence on m-government services adoption. The findings also revealed that PGS had a significant moderating influence on PE, facilitation conditions, and trust towards the adoption of mobile government services. However, perceived government support had no significant moderating effect on security and privacy and information quality on the adoption of m-government services. These results guide researchers and practitioners in respect of the role government support plays in making m-government a success and how government aid should be designed to have the maximum impact on changing the adoption behavior of citizens.

Extending the UTAUT model to understand the barriers towards SME digitalization

Digitalization has been identified as a core growth driver for small and medium enterprises (SMEs) in this digital era. This study investigates the drivers and barriers aligned with the tendency of owner-managers of SMEs to adopt digitalization. A conceptual framework is developed that extends the unified theory of acceptance and technology (UTAUT) with an anxiety-digitalized environment as a moderating factor of SME owner-managers' intention to adopt digitalization. A quantitative methodology is used to gauge responses from 89 respondents (owner-managers). Additionally, the variance-based structural equation modelling approach (PLS-SEM) is used to analyse and validate the proposed model. Results show that attitude positively mediates the relationship between performance expectancy and intention to adopt digitalization. However, effort expectancy and facilitating conditions were found to negatively influence attitude and intention to adopt digitalization. On the contrary, the results obtained did not confirm the significance of an anxiety-digitalized environment in moderation analyses. Consequently, the overall structural model accounted for 51.1% of the variance in the intention to adopt digitalization among SMEs. This study has theoretically and practically contributed to understanding owner-managers' intent to adopt digitalization of SMEs in the Czech Republic.

Does Social Media and e-WOM Influence M-Government Services? A Citizen's Perspective from India

In Web-4 technologies, Social media (SM) has emerged as a prominent tool for the government to interact and engage with citizens. It is also an effective channel for providing government services. However, for effective implementation and its success, it is critical to understand the citizens' perceptions towards the government's use of SM and its impact on mobile government (MG) adoption. Consequently, the study focuses on assessing the impact of SM influence and electronic word of mouth (e-WOM) on MG service parameters such as MG Awareness, MG Transparency, and MG Trust. The results of structural equation modelling revealed the significance of e-WOM on improving MG awareness and trust and SM Influence. Further, SM Influence had a direct impact only on MG Transparency. However, results revealed the importance of SM Influence and MG Transparency as a mediator for MG Trust. Besides, gender and age as moderators are investigated and discussed in detail.

Factors Affecting the Adoption of Mobile Government by Older People

Increases in the population's average age require government services to offer high-efficiency, low-cost services aimed at the elderly. An extended technology acceptance model (ETAM) embedded in a contextualized perspective is proposed to analyze elderly users' mobile government behavioral intentions. In this study, a questionnaire survey was conducted on 800 participants aged 60 and over to identify crucial influencing factors. One dependent variable, three independent variables, four intervening variables, and four control variables were used for the questionnaire design. The proposed model was tested based on structural equation modeling (SEM) under eight constructs. The empirical results showed that elderly users' attitudes, perceived external support, orientation level, and perceived ease-of-use have a significant positive impact on elderly users' acceptance of mobile government, while perceived risk has a relatively negative impact. Among these factors, both users' attitudes and perceived external support exhibit the strongest effect on behavioral intention.

The relation between project team conflict and user resistance in software projects

This study aims to explore the relation between conflict in the project team and user resistance to change in software projects. Following a cross-sectional research design, a survey was conducted among 1,000 largest companies in Slovenia (N = 114). The results of PLS-SEM analysis indicate that task and process conflicts in the project team are associated with user resistance. This study is among the first to associate conflict within the project team and user resistance in the implementing organization. It is also one of the first studies to investigate the relations between different types of conflict and user resistance. Project managers may invest resources into adequately managing conflicts within the project team related to tasks in which the project team interacts with users of developed software to lower user resistance. Project with poorly defined roles (e.g., agile and information security projects) may be more prone to user resistance than projects with clearly defined roles.

Citizen Adoption in E-Government Systems

Electronic Government (e-Government) refers to a system of information, communication and interaction between government and its citizens. E-Government adoption has been studied for more than a decade with several meta-analytic studies being produced in that time. This study is differentiated from prior meta-analyses as it splits the empirical studies into pre-adoption and post-adoption studies to allow a clearer model of e-Government. We found different determinants and distinct models for pre- and post-adoption of e-Government. In the two models (pre-adoption and post-adoption) trust is only related to pre-adoption studies. Originally, 98 studies were coded but with the focus on pre-adoption and post-adoption, 53 were used in the final models as they contained the attributes of interest.