Determinants of user acceptance and use of open government data (OGD): An empirical investigation in Bangladesh

Talukder, Md. Shamim; Shen, Liang; Talukder, Farid Hossain; Bao, Yukun

doi:10.1016/j.techsoc.2018.09.013

Cited by 94 publications

(102 citation statements)

References 63 publications

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“…According to Bangladesh Telecommunication Regulatory Commission (BTRC) reports, in 2016, internet subscribers totaled 62.04 million users, compared to the year 2013, where there were about 35.52 million [5]. Due to rapid developments in e-commerce in Bangladesh, online shopping has been growing fast and has the potential to grow exponentially in the future as internet penetration reaches far and wide across rural areas [6][7][8]. However, the study of the UNCTAD [4] report found that the online shopping market in Bangladesh is likewise in the leading annual index ranking changing status (over 10 percent).…”

Section: Introductionmentioning

confidence: 99%

Will Consumers Pay More for Efficient Delivery? An Empirical Study of What Affects E-Customers’ Satisfaction and Willingness to Pay on Online Shopping in Bangladesh

Saha

Zhuang

2020

Sustainability

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The delivery of products to the end consumer has been widely considered in the e-commerce sector as new challenges to reach customers and provide them with timely and efficient delivery have surfaced. Less focus has been given to information about delivery efficiency that impacts online shoppers’ relations with e-retailers. This study’s research model builds on the extended unified theory of acceptance and use of technology (UTAUT-2) by adding the critical e-commerce variables of delivery efficiency, cost-saving efficiency, and online purchase experience (shopping satisfaction and subsequent willingness to pay). The conceptual model was tested, and samples were collected using an online survey hosted on Google Forms using e-mail in Bangladesh. The findings show that consumers’ willingness to pay is enhanced by satisfaction with online shopping and delivery efficiency. The study also contributes insights into how cost-saving efficiency affects online customer satisfaction and the intention to repurchase. Also, by applying hierarchical regression analysis, this study contributes to understanding how e-retailers can provide a functional online experience for customers. Finally, our findings offer guidelines to e-retailers regarding increasing shopping satisfaction, the intention to repurchase, and the willingness to pay more.

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Section: Introductionmentioning

confidence: 99%

Will Consumers Pay More for Efficient Delivery? An Empirical Study of What Affects E-Customers’ Satisfaction and Willingness to Pay on Online Shopping in Bangladesh

Saha

Zhuang

2020

Sustainability

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“…(Dwivedi et al, 2017) Performance Expectancy (PE): A similar construct has been used in developing the UTAUT theory (Venkatesh et al, 2003) as well as its extended version, that is, the UTAUT2 theory (Venkatesh, Thong, & Xu, 2012) to study consumer's adoption of a technology. This construct has appeared as a critical predictor in understanding system's usefulness in earlier studies (Talukder, Shen, Hossain Talukder, & Bao, 2019). Further, a positive and significant influence of performance expectancy on behavioural intention to use digital payments adoption has also been observed in earlier studies (Rahman, Shafique, Khurshid, Asghar, & Ghafoor, 2020).…”

Section: Proposed Research Model For Adoption Of Open Data Technologimentioning

confidence: 62%

Predictors for the Adoption of Open Data Technologies

et al. 2020

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Open Data initiative is attracting considerable interest globally due to the growing phenomena of transparency, accountability, quality of life, and business. The adoption of open data technologies is inevitably an issue to better exploit the full potential and benefits of open data available to the public. The main issue in our knowledge of open data technologies is the scarcity of research studies on the adoption of open data technologies. Thus, the main objective of this study is to predict and explain the factors that influence the adoption of open data technologies. A Unified Model of Electronic Government Adoption (UMEGA) was employed as a lens to examine the influencing factors including additional factors i.e. imitating the behavior of others, disregarding own beliefs, and grievance redressal to make a novel contribution in the adoption studies. The survey method was used to collect the data from citizens and analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM) technique in SmartPLS 3. Satisfactory results are obtained proving that facilitating conditions has a significant positive influence on effort expectancy, effort expectancy on performance expectancy, performance expectancy on attitude, and attitude on behavioral intention to adopt open data technologies even though the number of participants is very small. Implications for the academics and managers are also outlined. Future researchers should find more concrete pieces of evidence upon collecting a large number of responses.

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“…Data quality has significant direct effects on OGD adoption and sustainable value generation [43,53]. Data quality is a measure of the data content and reusability provided by sustainable OGD, which is the basis for the public reuse of data [22].…”

Section: Data Quality Dimensionmentioning

confidence: 99%

“…Data timeliness is one of the important indicators for data quality evaluation [22,23,54,56,57]. Understandability means that keywords, titles, and descriptions in OGD are easy to understand not only by experts, but also by the general public [18,20,22,53]. The public can only use the data after understanding OGD.…”

Section: Data Quality Dimensionmentioning

confidence: 99%

“…The interface refers to the user's experience when visiting an OGD website, and is evaluated based on the design of the platform. If the interface experience is good, the public's satisfaction with OGD will increase [18,53]. The data index is used to classify the OGD platform dataset by subject, institution, data format, or other qualities, as well as keyword search and advanced search operation, whether the evaluation data classification directory is reasonable, the convenience of retrieval [18], and whether the online help function will be user-friendly [20].…”

Section: Use Dimensionmentioning

confidence: 99%

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Improving the Sustainability of Open Government Data

et al. 2019

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In the context of big data, opening government data to society for development and utilization would improve the transparency of government work and promote harmonious social development. Improving the sustainability of open government data (OGD) is an important and challenging issue, and has received the attention of multiple governments. The goals of this study are to construct a new evaluation model for the sustainability of OGD that explores the main influential factors and amends the priorities. We used a combination of the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method and the Analytical Network Process (ANP) method known as DANP to construct an influential network relationship map (INRM) of the evaluation system and calculate the criterion weights. The INRM and weights can help decision makers understand the complex assessment system and set priorities for improving OGD. The results demonstrate that the improvement priorities of dimensions have the following order: impact (D4), use (D3), data (D2), and environment (D1). Economic, social, and political values are the three critical factors for improvement of the sustainability of OGD. Some implications for management are also provided.

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Determinants of user acceptance and use of open government data (OGD): An empirical investigation in Bangladesh

Cited by 94 publications

References 63 publications

Will Consumers Pay More for Efficient Delivery? An Empirical Study of What Affects E-Customers’ Satisfaction and Willingness to Pay on Online Shopping in Bangladesh

Will Consumers Pay More for Efficient Delivery? An Empirical Study of What Affects E-Customers’ Satisfaction and Willingness to Pay on Online Shopping in Bangladesh

Predictors for the Adoption of Open Data Technologies

Improving the Sustainability of Open Government Data

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