Purpose
Open government data (OGD) is a comparatively new field in e-government and the factors influencing its continuance use by citizens have not been extensively explored. A better understanding of these factors can help the government to articulate strategies and policies that can advance the acceptance and use of OGD technologies. Thus, this paper aims to empirically determine the predictors influencing the continuance usage intention of OGD technologies.
Design/methodology/approach
Following an empirical investigation among 370 respondents in Bangladesh, a developing country, the paper applied path analysis using the structural equation modeling approach. The unified theory of acceptance and use of the technology model is integrated with the information system continuance model to investigate the continuance usage intention of OGD technologies.
Findings
The outcomes of this study reveal that performance expectancy, effort expectancy, social influence and facilitating conditions (FC) directly affect users’ satisfaction (SAT). In addition, SAT and FC were found statistically significant toward continuance usage intention of OGD technologies.
Practical implications
The findings of this study suggest policymaker and OGD providers to formulate or modify their strategies to retain the existing OGD users and stimulate persistence usage.
Social implications
Facilitating long-term use by citizens would increase their engagement and they might derive value from the OGD platforms. Concurrently, the government’s objective of ensuring increased future use of OGD technologies would be better realized.
Originality/value
The novelty of this study lies in the fact that it addresses a previously overlooked area of open data research, namely, the acceptance and use of open data technologies and ways to stimulate it. This study has contributed to the existing but limited literature on continuance usage intention of OGD technologies in the context of a developing country.
The main objective of this research is to generate insights about the effect of the depth and breadth of cloud computing assimilation on firm performance. The authors construct a research model based on several strands of theories to achieve the objective. This study considers two implementation alignment strategies: balanced fit and complementary fit, reflecting strategic choices made by organizations about the importance of the depth and breadth of cloud technology implementation. The model has been tested using a survey of Chinese businesses. The empirical study results show that cloud computing assimilation’s depth and breadth, directly and indirectly, have a substantial positive effect, through organizational agility, on company performance. The depth and breadth of cloud deployment and organizational agility are also positively related. Furthermore, the complementary fit strategy has a major impact, whereas the balanced fit strategy has an insignificant effect on company performance.
<p>This study aims to empirically investigate the significant factors that influence consumer attitude toward SMS advertising in Bangladesh. At present, SMS advertising is being considered as a trendy mobile marketing channel to reach the consumer in an efficient manner. Though, many studies have been conducted to identify factors that impact the consumer perception regarding SMS advertisements, very few of them have considered Bangladeshi consumer. This study has developed and tested a conceptual model with a sample of 375 Bangladeshi students using Structural Equation Modelling. In addition, T-test is used to observe the differences in attitude based on gender. The results indicate that SMS credibility, advertiser credibility and incentive have positive significant influence, whereas irritation and consumer inertia have negative significant influences. Moreover, attitude toward SMS advertising is found similar among male and female consumer. This paper ends with a comparative discussion of relevant studies in SMS advertising context and provides recommendations for advertisers and future SMS advertising research. </p>
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