User experience of digital science and education evaluation platform: identification and analysis of key influencing factors

Qiu, Junping; Xu, Zhongyang; Luo, Haibei; Zhou, Jianbo; Zhang, Yu

doi:10.1108/lht-10-2022-0468

Cited by 4 publications

(1 citation statement)

References 31 publications

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“…User experience, digital marketing tactics, and e-commerce platform convergence have all been found to be important variables affecting these businesses' competitiveness and market reach. Research has indicated that e-commerce firms' competitiveness is significantly impacted by characteristics including customer happiness (Lakra et al, 2022), a variety of information forms and comprehensive information content (Qiu et al, 2023), and service level and customer satisfaction (Minh & Hiep, 2023). Furthermore, it has been discovered that improving the user experience by focusing on elements like interface design, interaction design, and user interface (Gahlot & Rani, 2023;Hu, 2022) increases users' propensity to use digital science and education assessment platforms.…”

Section: Introductionmentioning

confidence: 99%

The Effect of E-commerce Platforms, Digital Marketing, and User Experience on Market Reach and Competitiveness of Indonesian MSMEs

Wijayanto,

Jushermi,

Nursanti

et al. 2024

IJBLE

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The complex relationships between digital marketing tactics, user experience, and e-commerce platforms are examined in this study, as well as how these relationships affect MSMEs' (micro, small, and medium-sized enterprises) ability to compete in the Indonesian market. Structural Equation Modeling with Partial Least Squares (SEM-PLS) is utilized in the study to analyze survey data obtained from 150 MSMEs in Indonesia. The adoption of e-commerce and market reach, competitiveness and effective digital marketing techniques, and user experience and overall market performance are all significantly positively correlated, according to the results. The report offers detailed insights into the digital tactics influencing MSMEs' success in the Indonesian business environment. It also offers recommendations for further research and real-world applications for companies and regulators.

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Section: Introductionmentioning

confidence: 99%

The Effect of E-commerce Platforms, Digital Marketing, and User Experience on Market Reach and Competitiveness of Indonesian MSMEs

Wijayanto,

Jushermi,

Nursanti

et al. 2024

IJBLE

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Health service requirements of mHealth app users: evidence from Hangzhou, China

Xu,

Meng

2024

JHOM

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PurposeChina’s healthcare system is being burdened by the increasing prevalence of chronic diseases. Therefore, this study investigated the health service requirements of mobile health applications (mHealth apps) users in Hangzhou, China. This study aimed to propose suggestions and theoretical references to improve mHealth apps and promote their development, thereby meeting public medical and health needs and creating an efficient medical service system.Design/methodology/approachWe constructed a model of health service demands using a literature review, network survey, and semi-structured interviews. We analyzed the demand attributes using the Kano model and Better-Worse index and obtained the priority ranking of demands.FindingsThe results revealed 25 demand elements in four dimensions: must-be (M), one-dimensional (O), attractive (A), and indifferent (I) requirements. The findings suggest that mHealth app developers can optimize health services by categorizing and managing health services, focusing on middle-aged users, enhancing the professionalism of health service providers, and improving the feedback mechanism.Originality/valueStudies on mHealth apps user demands, particularly on health service needs, remain scarce. This study employed a mixed-methods approach, integrating both qualitative and quantitative research techniques, to establish a priority ranking of user health service needs for mHealth apps. The study offers recommendations and theoretical references to optimize and improve mHealth app services.HighlightsConstruct a better health service requirements model for mHealth app users.Obtain the prioritization of demand elements in the model.Propose some management suggestions to improve mHealth apps.

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Based on the S–O–R theory adoption intention of blockchain technology in libraries: a two-stage analysis SEM–PLS and ANN

Khan,

Jan,

Khan

et al. 2024

LHT

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PurposeBlockchain, a groundbreaking technology that recently surfaced, is under thorough scrutiny due to its prospective utility across different sectors. This research aims to delve into and assess the cognitive elements that impact the integration of blockchain technology (BT) within library environments.Design/methodology/approachUtilizing the Stimulus–Organism–Response (SOR) theory, this research aims to facilitate the implementation of BT within academic institution libraries and provide valuable insights for managerial decision-making. A two-staged deep learning structural equation modelling artificial neural network (ANN) analysis was conducted on 583 computer experts affiliated with academic institutions across various countries to gather relevant information.FindingsThe research model can correspondingly expound 71% and 60% of the variance in trust and adoption intention of BT in libraries, where ANN results indicate that perceived possession is the primary predictor, with a technical capability factor that has a normalized significance of 84%. The study successfully identified the relationship of each variable of our conceptual model.Originality/valueUnlike the SOR theory framework that uses a linear model and theoretically assumes that all relationships are significant, to the best of the authors’ knowledge, it is the first study to validate ANN and SEM in a library context successfully. The results of the two-step PLS–SEM and ANN technique demonstrate that the usage of ANN validates the PLS–SEM analysis. ANN can represent complicated linear and nonlinear connections with higher prediction accuracy than SEM approaches. Also, an importance-performance Map analysis of the PLS–SEM data offers a more detailed insight into each factor's significance and performance.

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User experience of digital science and education evaluation platform: identification and analysis of key influencing factors

Cited by 4 publications

References 31 publications

The Effect of E-commerce Platforms, Digital Marketing, and User Experience on Market Reach and Competitiveness of Indonesian MSMEs

The Effect of E-commerce Platforms, Digital Marketing, and User Experience on Market Reach and Competitiveness of Indonesian MSMEs

Health service requirements of mHealth app users: evidence from Hangzhou, China

Based on the S–O–R theory adoption intention of blockchain technology in libraries: a two-stage analysis SEM–PLS and ANN

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