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The expansion of connectivity on a national scale in Brazil, whether through mobile Internet or fixed broadband, is described as one of the factors that can lead to social and economic benefits for large parts of the population who do not have a network connection. It can also help to reduce poverty by improving the infrastructure of services and increasing Internet use for education purposes. It also provides people with the ability to communicate with online administrative services – local, regional, and national. In Brazil, the main difficulty facing an effective universalization of telecommunications has been limitations in accessing services. This chapter demonstrates the relevance of small Internet providers for the expansion of fixed broadband in less commercially attractive regions (in terms of subscribers, income, and distance) who have been growing over recent years and are now present in 70% of Brazilian municipalities and whose role is paramount to reducing the digital divide.

This study aims to determine the requirements and find out the challenges for the use of digital library services for rural areas of Capricorn District Municipality, Limpopo province. The research questions of the study are: What are the requirements for the use of digital library services in rural areas of Capricorn District Municipality? What are the challenges of accessing digital library services in rural areas?

Data was analysed thematically and deductively in this study, as researcher required to accomplish the purpose of the study through consistent structure (Zalaghi and Khazaei, 2016). In deductive analysis, the researcher starts with a set of categories, which are then used to categorize and organize data (Bertram and Christiansen, 2020). The researcher got familiar with data from the interviewing process and when transcribing data from audio tape. The transcription process was done for the coding purposes. Coding allows the researcher to simplify and focus on specific characteristics of data.

The study findings advocate for the establishment of digital libraries in rural areas. The library authorities are challenged to adapt digital ways of information provision. Since librarians have been providing digital content in libraries for use on users’ laptops and other gadgets, this implies that the Department of Sport, Arts and Culture has been lagging behind in finding innovative ways to provide information, especially in rural areas. To successfully keep libraries as sources of information, transformative measures have to be taken, and where possible, revisit the policies and keep drifting with the societal changes. The library authorities have to delve into new ways of providing LIS to the communities. Unquestionably, information and communication technologies have penetrated our societies and became a way of life. In addition, there are unlimited benefits which can be derived from digital technologies, especially given the lack of physical libraries in rural areas.

To the best of the authors’ knowledge, the academic research is original and has not been published anywhere before.

This paper explores optimal service resource management strategy, a continuous challenge for health information service to enhance service performance, optimise service resource utilisation and deliver interactive health information service.

An adaptive optimal service resource management strategy was developed considering a value co-creation model in health information service with a focus on collaborative and interactive with users. The deep reinforcement learning algorithm was embedded in the Internet of Things (IoT)-based health information service system (I-HISS) to allocate service resources by controlling service provision and service adaptation based on user engagement behaviour. The simulation experiments were conducted to evaluate the significance of the proposed algorithm under different user reactions to the health information service.

The results indicate that the proposed service resource management strategy, considering user co-creation in the service delivery, process improved both the service provider’s business revenue and users' individual benefits.

The findings may facilitate the design and implementation of health information services that can achieve a high user service experience with low service operation costs.

This study is amongst the first to propose a service resource management model in I-HISS, considering the value co-creation of the user in the service-dominant logic. The novel artificial intelligence algorithm is developed using the deep reinforcement learning method to learn the adaptive service resource management strategy. The results emphasise user engagement in the health information service process.

The study aims to assess the sourcing approaches used in providing facilities management (FM) services in hotels. It further explores the factors that influence hotels' choice of sourcing approach and the challenges.

The study used a case study design. Simple random, census and purposive sampling techniques were used to select the hotels and respondents. Data were collected using interviews and analysed thematically. The data were presented in narration and direct quotes from the respondents. The critical factors influencing outsourcing decisions were ranked using the relative importance index. This study is based on a single case. Therefore, further research should be conducted to expand the scope of study nationwide as a step toward making the results more robust.

Both in-house and outsourcing sourcing approaches were used to provide FM services. In-house FM services mainly focused on cleaning, security and aspects of maintenance. Internet and information technology related services and other maintenance activities were also outsourced. Outsourcing decisions in the various hotel categories were mostly guided by the cost of outsourcing, core business, lack of in-house skills and hotel size.

FM strategy can be developed to guide the management of FM activities in hotels. An approach that adds value and enhances the activities of hotels and provides convenience to customers must be adopted by hotels. Further studies should be conducted on the cost implications of the two main sourcing approaches, as well as the impact of sourcing approaches on customer satisfaction. An additional study should focus on the driving factors influencing the cost and quality of outsourced FM services in hotels. This will help provide comprehensive information on effective FM sourcing approaches and the operations of hotels.

The study focused on the sourcing approaches used by hotels to provide FM services. It also explored the influencing factors and challenges of FM practices in hotels.

This study aims to empirically examine the factors that affect mobile loyalty (m-loyalty) and its influence on customer reuse intention towards mobile instant messaging services. This study identified measurement items to assess the business users and individual users reuse intention towards mobile instant messaging services and test the relationship in the conceptual model. This study bridges a literature gap focusing on m-loyalty and its impact on customer reuse intention, which has not received attention previously.

To evaluate the influence of the factors, this study identified and extracted the items from past literature to develop the survey instrument. This study surveyed 600 respondents including business users and individual users from the Delhi-National Capital Region of India and applied the structural equation modelling to test the conceptual model.

The results revealed that satisfaction and m-loyalty have a direct effect on the business users and individual users’ reuse intention of mobile instant messaging services. This study found that satisfaction, usability, perceived value, commitment, trust and m-loyalty influence on business users reuse intention. This study indicate that enjoyment has an insignificant relationship on m-loyalty for business users followed by usability and enjoyment has an insignificant relationship on m-loyalty for individual users. Further, female gender does not moderate the relationship between satisfaction and business users reuse intention. The cognitive absorption and the unified theory of acceptance and use of technology (UTAUT) theories supported evaluating the association between the factors in the context of business and individual users reuse intention of mobile instant messaging service.

The empirical findings imply that all the factors except enjoyment have directly influenced the business users reuse intention of mobile instant messaging. The significant influence of usability factor on the business users reuse intention towards mobile instant messaging is the major variation between the validated models of business and individual samples. The results of influencing factors of m-loyalty and its impact on customer reuse intention are associated with cognitive absorption and the UTAUT theories.

Focus on these factors can be beneficial for the business users, managers, mobile instant messaging service providers and application developers to increase customer loyalty and reuse intention for the mobile instant messaging services. This research will facilitate mobile instant messaging service providers to keep their services market relevant and focus on user satisfaction in building applications for loyalty.

This research identified measurement items from earlier literature to identify, analyze and verify the relevance of these factors in m-loyalty and customer reuse intention of mobile instant messaging services and fill the gap in customer reuse intention of mobile instant messaging services literature.

Social participation and user-generated contents have engendered an era when “any receiver can be a provider.” Although studies have emphasized on increasing the number of subscribers conducive to platform success, the issue regarding why viewers drop their registered YouTuber channels has been less addressed. This article aims to present and empirically test a causal model to account for the pattern of discontinuous intention of attention to YouTuber channels.

Inspired by the expectation–disconfirmation theory, the study proposes and examines a research model by using an empirical quantitative approach. The proposed model considers channel and YouTuber facets, as well as potential moderation effects of viewing seniority.

Analysis of a sample of 406 questionnaires revealed that ads interference is not a significant reason for discontinuation of viewing a channel, in contrast to insufficient playfulness and inconsistency. Regarding YouTubers’ features, both interaction inadequacy and negative self-disclosure are significant determinants of perceived dissatisfaction and discontinuation of viewing. The effects of determinants of discontinuity depend on viewers' seniorities, except for negative self-disclosure.

While existing studies have focused mainly on revealing the determinants associated with the behavioral intention of viewing YouTuber channels to increase self-media performance, this research contributes insights into the literature investigating why existing viewers stop following a certain YouTuber channel. From a psychological perspective, this study demonstrates the value of modeling discontinuous behaviors toward YouTuber channels in the domain of social marketing.

Digital transformation using Industry 4.0 technologies can address various challenges in food supply chains (FSCs). However, the integration of emerging technologies to achieve digital transformation in FSCs is unclear. This study aims to establish how the digital transformation of FSCs can be achieved by adopting key technologies such as the Internet of Things (IoTs), cloud computing (CC) and big data analytics (BDA).

A systematic literature review (SLR) resulted in 57 articles from 2008 to 2022. Following descriptive and thematic analysis, a conceptual framework based on the diffusion of innovation (DOI) theory and the context-intervention-mechanism-outcome (CIMO) logic is established, along with avenues for future research.

The combination of DOI theory and CIMO logic provides the theoretical foundation for linking the general innovation process to the digital transformation process. A novel conceptual framework for achieving digital transformation in FSCs is developed from the initiation to implementation phases. Objectives and principles for digitally transforming FSCs are identified for the initiation phase. A four-layer technology implementation architecture is developed for the implementation phase, facilitating multiple applications for FSC digital transformation.

The study contributes to the development of theory on digital transformation in FSCs and offers managerial guidelines for accelerating the growth of the food industry using key Industry 4.0 emerging technologies. The proposed framework brings clarity into the “neglected” intermediate stage of data management between data collection and analysis. The study highlights the need for a balanced integration of IoT, CC and BDA as key Industry 4.0 technologies to achieve digital transformation successfully.

The behaviour of audience, consuming video entertainment, has changed intensely over the years. Lately, the consumers have increasingly preferred to watch video programs, through video-on-demand services through over-the-top medium. The service is novel and the consumer’s perception of the service quality is not well explored. As extant literature considers service quality as the construct to determine the sustained growth of a service, the present study has attempted to explore the dimensions to measure service quality of video-on-demand services.

The authors conducted qualitative, semi-structured interviews and focus group discussions amongst the user of the video-on-demand service. The qualitative data was content analysed to furnish thematic dimensions.

The study reveals thematic attributes perceived as dimensions to measure service quality of video-on-demand services.

Considering the exploratory nature of the study, the themes proposed might seem nascent. Hence, it was the authors’ discretion to stop expanding the respondent sample to avoid data saturation. A quantitative establishment of the service quality dimensions was beyond the scope of the current research and would follow in a different study.

The objective of the study is to qualitatively explore service quality dimensions of video-on-demand services. In pursuit of that, the current study explored the consumers’ excerpts, content analysed the data and furnished several themes perceived as service quality dimensions in this context. Such a detailed approach is uncommon in this context.

This study examines the effect of contextual perceived value activated by contextual marketing offers and information privacy concerns on consumer loyalty in mobile commerce.

The survey was conducted through 340 mobile users in Morocco and the collected data were analyzed using structural equation modeling.

This study's results show that contextual marketing and information privacy concerns are key determinants in improving customer loyalty in the m-commerce context. Perceived ubiquity has a positive impact on perceived trust, which also impacts consumer loyalty. Information privacy concerns also have a positive impact on customer satisfaction, yet it does not impact perceived trust, which is contrary to the results of other researchers. It can also be concluded that customer satisfaction and trust are important antecedents of consumer loyalty.

This research gives rise to some important managerial and strategic implications in order to integrate contextual marketing strategies, as well as theoretical implications that concern this field of study.

This research makes a significant contribution to knowledge by examining the role of contextual marketing and information privacy concerns in the m-commerce context. These results will be considered useful for marketers and for businesses in general who wish to integrate a marketing strategy that is based on a customer-centric approach. It also contributes to the related literature, as there are few studies focused on m-commerce and contextual marketing within the context of Morocco.

This exploratory study examines and comprehends the relative importance of mobile app attributes from a consumer perspective. Both quantitative and qualitative analysis approaches explore users' behavior and attitudes toward the priorities of mobile app attributes and preferences, identifying correlations between attributes and aggregating individual attributes into groups.

Online convenience sampling and snowball sampling resulted in 417 valid responses. The numerical data are analyzed using the relative to an identified distribution (RIDIT) scoring system and gray relational analysis (GRA), and qualitative responses are investigated using text-mining techniques.

This study finds enhanced nuances of user preferences and provides data-driven insights that might help app developers and marketers create a distinct app that will add value to consumers. The latent semantic analysis indicates relationship structure among the attributes, and text-based cluster analysis determines the subsets of attributes that represent the unique functions of the mobile app.

This study reveals the essential components of mobile apps, paying particular attention to the consumer value component, which boosts user approval and encourages prolonged use. Overall, the results demonstrate that developers must concentrate on its functional, technical and esthetic features to make an app more exciting and practical for potential users.

Most scholarly research on apps has focused on their technological merits, aesthetics and usability from the user's perspective. A post-adoption multi-attribute app analysis using both structured and unstructured data is conducted in this study.