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Aside from grappling with technological advancements, enterprises in the industrial internet era are embracing business model innovation to align with the evolution of the industrial internet. However, a gap persists in the existing research regarding the strategies and methods available to small and medium-sized enterprises (SMEs) for executing business model innovation. Therefore, this paper aims to explore the connotation, characteristics and logic of business model innovation for SMEs in the industrial internet era.

To explore the business model innovation logic of small and medium-sized enterprises in the era of industrial internet, the paper adopts a longitudinal single-case study approach, with PAYA, a medium-sized enterprise in the electromechanical industry, serving as the subject of research. It systematically analyzes PAYA’s business model innovation, centering on four key elements of the business model: value proposition, value creation, value delivery and value capture.

The study proposes two types of business model innovation, namely, “Migration” and “Expansion”, and explains the logic of business model innovation for SMEs in the industrial internet era: faced with a rapidly changing market environment, entrepreneurs put forward the value proposition through the insight of the market environment, then enterprises conduct technological innovation to support the value creation by their own unique experience and knowledge, and then improve the legitimacy of the market by expanding the influence of market acceptance of the new business model to promote the value delivery, and finally capture the economic value and ecological value.

The types and logic of business model innovation proposed in this paper contribute to supplementing and developing the theory of business model innovation and meanwhile have important reference value for SMEs in the industrial internet era.

As internet banking service marketing platforms continue to advance, customers exhibit distinct behaviors. Given the extensive array of options and minimal barriers to switching to competitors, the concept of customer churn behavior has emerged as a subject of considerable debate. This study aims to delineate the scope of feature optimization methods for elucidating customer churn behavior within the context of internet banking service marketing. To achieve this goal, the author aims to predict the attrition and migration of customers who use internet banking services using tree-based classifiers.

The author used various feature optimization methods in tree-based classifiers to predict customer churn behavior using transaction data from customers who use internet banking services. First, the authors conducted feature reduction to eliminate ineffective features and project the data set onto a lower-dimensional space. Next, the author used Recursive Feature Elimination with Cross-Validation (RFECV) to extract the most practical features. Then, the author applied feature importance to assign a score to each input feature. Following this, the author selected C5.0 Decision Tree, Random Forest, XGBoost, AdaBoost, CatBoost and LightGBM as the six tree-based classifier structures.

This study acclaimed that transaction data is a reliable resource for elucidating customer churn behavior within the context of internet banking service marketing. Experimental findings highlight the operational benefits and enhanced customer retention afforded by implementing feature optimization and leveraging a variety of tree-based classifiers. The results indicate the significance of feature reduction, feature selection and feature importance as the three feature optimization methods in comprehending customer churn prediction. This study demonstrated that feature optimization can improve this prediction by increasing the accuracy and precision of tree-based classifiers and decreasing their error rates.

This research aims to enhance the understanding of customer behavior on internet banking service platforms by predicting churn intentions. This study demonstrates how feature optimization methods influence customer churn prediction performance. This approach included feature reduction, feature selection and assessing feature importance to optimize transaction data analysis. Additionally, the author performed feature optimization within tree-based classifiers to improve performance. The novelty of this approach lies in combining feature optimization methods with tree-based classifiers to effectively capture and articulate customer churn experience in internet banking service marketing.

Online learning has come to stay in a technologically advancing world with increasing populations. The search for ways to make online learning more efficient and effective in some developing countries continues as the accompanying issues in developing country contexts abound. This paper explores the issues that underlie online learning management in a developing country context, focusing on the Moodle, Sakai and Zoom platforms used in some selected public universities in Ghana.

The study relied on the qualitative approach to data collection and a descriptive design for analysis. Using the social constructivism theory, the paper discussed the critical issues students, and to a lesser extent, instructors encounter in their engagement on these platforms for academic learning.

The study found that the inefficient use of these platforms is due to several factors including the high cost of data, poor perception of the quality of online learning compared to traditional in-person contacts, poor attitude of students, low participation in online learning, lack of computers and poor internet connectivity among others.

It is important to mention that this study was limited to some selected public universities in Ghana. Data could have been collected from a wider sample including other Ghanaian tertiary institutions or some other developing countries. The similarity of study outcomes in other developing countries, however, suggests that similar results would have been obtained in an international sample.

Despite the robustness of the Learning Management systems in place, the evidence suggests that their utilisation is far less than optimal. However, with relevant policies and the provision of needed technical support, training, provision of equipment like computers for use by both students and instructors and efficient internet connectivity, the LMS platforms could be more efficient for online learning.

The authors conducted this research using original data from interviews in the selected public universities in Ghana. The data was meant to inform the discussion on some of the critical issues that underlie online learning in a developing country context. Although the study relied on data from selected public universities in a single country, its outcomes reflect fundamental issues of online learning in a developing country context which find relevance in available study outcomes.

The provision of online information through the use of digital platforms (websites and social networks) can be helpful for public sector organisations to promote transparency and accountability, thereby bringing it closer to citizens, more accessible and with higher added value for society. Whereas the call for government transparency is manifest and seems to be equal for all parts of government, this paper investigates whether small government entities are able to cope with this demand. In addition, the drivers of digital platforms are investigated in the context of Portuguese parishes.

The paper follows a quantitative research approach based on an original data set with more than 3,000 observations collected in two different time periods (2015 and 2020), which looks at the parishes’ use of website and Facebook.

Findings show that about half of Portuguese parishes, which are mostly small entities with on average fewer than 3,500 inhabitants, have an institutional website, whereas almost three out of four have Facebook. The empirical analyses reveal that a lack of organisational capacity of small entities can be an obstacle for the use of an institutional website and of Facebook. Furthermore, factors from the provider side (e.g. being part of a merger, participation in previous elections) and the user side (e.g. having access to broadband internet) are also found to have an influence on the adoption, use, and dropping of a digital platform.

The use of an original data set with more than 3,000 observations, and the research of the influence of size as a proxy of organisational capacity on the presence of parishes on the internet and Facebook, are innovative elements of this paper. In addition, this study adds to the knowledge about the influence of organisational, political, and socio-demographic characteristics on the use of digital platforms by small government entities.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2023-0171

This study aims to measure the impact of information and communication technology (ICT) infrastructure on divorce for a sample of developed countries for the period (2012-2021).

This paper uses fixed effect and generalized method of moments (GMM) estimation to delve into the impact of eight ICT infrastructure factors on divorce. The analyses are based on data collected from the World Bank Development Indicators.

The fixed effect analysis revealed that an increase in both fixed-telephone subscriptions and population covered by at least a 4G led to an increase in divorce. However, an increase in mobile cellular subscriptions and active mobile broadband subscriptions lead to a decrease in divorce. The results of the GMM estimator showed that fixed broadband internet prices, mobile broadband internet prices, the percentage of the population covered by the 4 G mobile network and fixed-telephone subscriptions had a substantial effect on divorce. While fixed broadband subscriptions, active mobile broadband subscriptions and mobile cellular basket were found to hinder divorce.

The findings of this study contribute to the existing literature by highlighting the impact of ICT on divorce in a sample of developed countries. Furthermore, it helps decision-makers and families to understand the causes of divorce related to ICT infrastructure in these societies, so they can understand this phenomenon and provide proactive policies.

This study used multiple factors to measure ICT infrastructure as well as the GMM estimator to delve into the impact of ICT on divorce.

This paper focuses on a project to work on the digital library of Arab children's culture for sustainable development (DLACSD).

This project claims to link the past, present, and future by creating a platform that can grow to include not only works by adults but by children who inspire adults with their imagination and the joys they bring to the world.

This project addresses in phases the different aspects of the problem of the lack of material for Egyptian/Arab children at different stages in Arabic on the internet (with copyright law in mind). It is time to fill this gap by having a rich repository of stories, plays, games and songs for children in Arabic in a digital library to enrich the life of the child and to inform the world that much that is worthwhile is available in Arabic for parents, teachers, and children to enjoy.

Through reading samples of the works by Abdel-Tawab Youssef (1928–2015) by using the Dublin Core Elements, it will be informative to see how his writings address the United Nations Goals of Sustainable Development way before these Goals were discussed.

Writers for children, librarians, teachers, psychologists, literary critics, illustrators, and parents need a platform that makes material available to promote children’s culture in the Arab world and to introduce the world to what is of value for children in Arabic.

Currently, communication brings the world together and although the social media and the new technology have introduced problems that are serious, to say the least, collaborators on all levels must play an active role in redressing the social wrongs, especially those affecting children.

This ongoing project by members of a team who believe in interdisciplinarity and multidisciplinarity has taken the first step to create and develop (DLACSD).

As technology becomes more widely accessible, there is a growing concern about internet gaming disorder (IGD) around the world. The aim of this study is to evaluate the prevalence of IGD and also assess the effects of depression, anxiety, stress and insomnia levels on the IGD of youths in Bangladesh.

A cross-sectional quantitative study design was used to collect data from the youths of different locations in Bangladesh between October 21, 2023 and January 15, 2024. A total of 501 samples were collected using the convenience sampling technique. The following measurement scales were Internet Gaming Disorder Scale short form, depression, anxiety and stress scales and insomnia severity index, which were used to assess scores for IGD, psychological distress and insomnia, respectively.

The study found that the prevalence of IGD was 9.8%. IGD was shown to be significantly associated with depression, anxiety and stress. Aside from that, IGD and insomnia had a significant association, as did a friendly family environment.

The generalizability of the results could be improved by conducting additional studies with a more diverse sample, such as the general population or a different age group.

The study will help the government reduce the prevalence of IGD, improving the mental and physical health of youth.

No research has been conducted on youth and different professions in Bangladesh. There has also been very little research on the prevalence of gaming addiction and mental health.

Visually impaired people usually struggle with doing daily tasks due to a lack of visual cues. For image captioning assistive applications, most applications require an Internet connection for the image captioning generation function to work properly. In this study, we developed MyUEVision, an application that assists visually impaired people by generating image captions that can work with and without the Internet. This work also involves reviewing some image captioning models for this application.

The author has selected and experimented with three image captioning models for online models and two image captioning models for offline models. The user experience (UX) design was designed based on the problems faced by visually impaired users when using mobile applications. The application is developed for the Android platform, and the offline model is integrated into the application for the image captioning generation function to work offline.

After conducting experiments for selecting online and offline models, ExpansionNet V2 is chosen for the online model and VGG16 + long short-term memory (LSTM) is chosen for the offline model. The application is then developed and assessed, and the results show that the application can generate image captions with or without the Internet, providing the best result when having an Internet connection, and the image is captured in good lighting with a few objects.

MyUEVision stands out for its both online and offline functionality. This approach ensures the image captioning generator works with or without the Internet, setting it apart as a unique solution to address the needs of visually impaired individuals.

This study aims to develop and test a framework of the antecedents to and performance outcomes of exporters’ use of different services offered by Internet-based Business-to-Business (I-B2B) platforms.

We test the model based on a unique survey dataset of 350 Chinese exporters who subscribed to Alibaba.com, a major I-B2B platform.

Drawing on the signaling theory, export and I-B2B platform literature, we develop a typology of exporters’ use of services offered by I-B2B platforms. We find that the extent to which firms have cost efficiency advantages, adopt an export diversity strategy, operate under high levels of psychic distance and experience high levels of domestic regulatory uncertainty are all positively related to exporters’ use of I-B2B platform services. The use of those services is either positively or negatively related to export success depending on the services in question. The magnitudes of these performance relationships are contingent on the exporters’ transparency strategies.

This is the first study to examine the antecedents to and consequences of exporters’ use of the services offered by I-B2B platforms.

Research on showrooming has focused on investigating its antecedents, motivators and characteristics, leaving a gap regarding its consequences. Our study intends to build a comprehensive framework to examine the role of showrooming behaviour on showrooming satisfaction and customer loyalty while exploring its antecedents.

Data collection took place in Brazil through an electronic form distributed on social media, reaching 393 people. After eliminating responses from those who had no showrooming experience, the final sample consisted of 310 respondents. The questions captured the costs and benefits of showrooming, internet savviness, showrooming behaviour, satisfaction with showrooming and customer loyalty (i.e. repurchase intention and positive word-of-mouth). We performed partial least squares data analysis by means of the statistical package Smart PLS 4.

The results show that showrooming behaviour is positively influenced by internet savviness and the perceived benefits of showrooming but not by the perceived costs of showrooming. In addition, showrooming behaviour positively influences satisfaction with showrooming and customer loyalty (i.e. repurchase intention and positive word-of-mouth). Finally, we identify satisfaction with showrooming as a mediator between showrooming behaviour and customer loyalty.

Given that the implications of showrooming behaviour on customer loyalty remain understudied, this work contributes to the marketing literature by demonstrating the influence of showrooming behaviour on satisfaction with showrooming and its consequential effect on customer loyalty. Moreover, we confirmed the mediating role of customer satisfaction in the relationship between showrooming behaviour and customer loyalty.