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This research explores the impacts of content-generating devices (mobile phones versus personal computers) and content features (social content and achievement content) on consumer engagement with marketer-generated content (MGC) on social media. It also examines these factors' interaction effects on consumer engagement.

The study analyzed MGC that 210 companies had posted to Sina Weibo over three years, testing the study’s proposed model with negative binomial regression analysis.

The study's results show that MGC generated via mobile phones attracts more consumer engagement than MGC generated via personal computers. MGC with more social features attracts more consumer engagement, whereas MGC with more achievement features reduces consumer engagement. The authors also found that MGC with more social features generated via mobile phones and MGC with more achievement features generated via personal computers lead to more consumer engagement due to the congruency of the construal level of psychological distance.

This research enriches the literature by exploring the effects of content-generating devices and content features on consumer engagement in the MGC context, which extends the research on consumer engagement with social media from the context of user-generated content to the MGC.

The purpose of this paper is to investigate how well hotel website load time performance compared against customer expectation benchmarks. In a competitive market, service interactions are important. As customers move to mobile devices, the time to load a website is a critical part of the service delivery. Long load times can lead to poor service experiences, customer frustration and lost business. Hotel website load times on both mobile and desktop devices were examined and compared to service expectations.

The study used an online service to assess and compare website load performance using both desktop and mobile devices for 259 international hotel company and sub-brand websites.

The time to load hotel websites was significantly slower on mobile devices compared to desktops. Load times on both platforms exceeded 3 s, which is considered best practice. Long load times represent a service gap and can cause dissatisfaction resulting in a potential customer abandoning the website for a competitor’s site, thus affecting sales.

While the population for the study was robust in size and contained most of the major hotel companies worldwide, it was not exhaustive. Data also represent a snapshot and will change over time. Load times vary based on test location, access device and network traffic. Additionally, web page load times and customer expectations will change as technology evolves.

Increased use of mobile devices for hotel reservations increases the importance of mobile service delivery. This is the first known study to measure hotel website load times for mobile devices, and to examine both mobile and desktop performance against best practice. The results of this study highlight a service gap, which can lead to loss of business. Given the consistency of the results, the authors suspect that this is an issue that has not been recognized within the industry. This study is valuable because it exposes an issue of website design not generally addressed in the hospitality industry, even though tools are available to monitor site performance.

The purpose of this paper is to examine the influence of several intrinsic motivations driving consumers' intention to buy using a mobile app, namely: shopping gamification, focussed attention, shopping enjoyment and socialness, through the mediating role of shopping engagement. The online shopping experience is investigated in its dual role as direct driver of the intention to buy using a mobile app and as moderator of the shopping engagement – intention to buy using a mobile app path.

The empirical analysis was performed in China due to the extensive usage of mobile shopping apps amongst the Chinese population. A structural equation model was estimated on 893 valid and complete structured questionnaires collected amongst a sample of Chinese consumers.

Findings confirm that intrinsic motivations (i.e. shopping gamification, focussed attention, shopping enjoyment and socialness) indirectly influence the intention to buy using a mobile app channelled by shopping engagement. Most remarkably, results show that the online shopping experience positively moderates the shopping engagement – intention to buy using a mobile app path.

The novelty of the paper lies in the conceptual and empirical evidence provided on shopping gamification, within the retailing marketing domain. The study investigates other related intrinsic motivations that jointly with shopping gamification directly influence shopping engagement and indirectly impact mobile shopping intention. The paper provides insights into the moderating role of online shopping experience, a key aspect when the challenge concerning gamification is considered.

Many entrepreneurs are able to manage their businesses within relatively contained and familiar geographical and cultural circles. With a world economy shrinking every day amid a flood of digital information, todayʼs entrepreneur is increasingly confronted with opportunities to consider new ways to secure vendors and recruit customers. Many unfamiliar possibilities emerge. Should the entrepreneur venture beyond “comfortable” surroundings to consider international connections? Specifically, what about China? How practical is this fetching business temptation of larger markets and lower-cost subcontractors? What are the social, trade, financial, and political issues? Should a “China strategy” be a true entrepreneurial offensive, or rather a defensive response to competition? Is this “China strategy” the promise of yet another entrepreneurial nirvana? Or is it perhaps again a case of “Be careful of what you wish for; it may really come true?”

This paper aims to examine students’ perception, views and opinions about the usage of mobile phones in an educational setting in a higher education institution located in Jamaica. The results of these findings were used to gain insights and to assist education policymakers in adopting most suitable approaches to integrating mobile technology in learning.

A survey approach was used for this study. A total of 145 students participated in the study using structured questionnaire design containing 14 questions.

The results indicated an overall positive student perception toward cell phones usage as a learning tool and integrating cell phones into learning activities. Students were keen on its usage as a social connectivity and collaborative tool, which they can use for flexible and personalized learning activities.

Less research has been done in Caribbean and developing countries in analyzing student perception toward using cell phones for learning purposes. This research provides insights in developing policies to assist with the integration of mobile phone technology in learning and how institutions can respond to the advent of advancing mobile technology.

This paper aims at shedding light on the competing extrinsic motivations behind the mobile shopping process of regular and occasional shoppers. Price and convenience, shopping security, order delivery and post-sale service are investigated as antecedents of the mobile shopping attitude-intention path.

The empirical analysis is based on a multigroup structural equation model (SEM) developed on 903 online questionnaires collected among Chinese shoppers in a pre-Covid-19 pandemic retailing context.

Findings evidence contrary motivations behind the attitude – intention to shop using a mobile retail app of regular and occasional shoppers. While all the investigated aspects result to be positively relevant for regular m-shoppers, shopping security and post-sale service do not impact the attitude – intention path of occasional mobile shoppers. Results support retailers’ strategies in the context of mobile shopping growth.

The paper contributes to the emerging retailing literature on mobile shopping by offering a comparison of the motivations behind the mobile shopping intention of regular and occasional shoppers. Extrinsic motivations before, during and after the transaction are jointly investigated in the study.

The purpose of this paper is to review the literature on factors that contribute to the successful development and use of the mobile digital library (DL). This aim will be achieved by reviewing selected journal articles on mobile DLs' successful development and use. This paper argues that the concept of DLs is evolving because of the dynamic nature of knowledge and technological developments in the infosphere.

A systematic literature search of journal article factors that contribute to the successful development and use of the mobile DL was accomplished by searching the following databases: Emerald insight, Science directory and Google Scholar. The systematic review was conducted following the preferred reporting items for systematic reviews and meta-analyses guidelines. This study applied Rogers's (1965) Diffusion of innovation theory to unpack the attributes of innovation to unpack contextual factors shaping African conceptions of mobile libraries (m-libraries). The studies reviewed were published from 2016 to 2021. This paper is based on a systematic literature review. This paper uses publicly available literature on the theme of DLs concerning m-libraries. Among the search terms used for the study were: “digital libraries”, “Africa and digital libraries”, “electronic libraries”, “information communication technologies”, “access to information” and “mobile digital libraries”.

Reviewed literature indicates that myriad factors can contribute positively or negatively to the successful development and use of the mobile DL. These factors include the degree of staff awareness and understanding of the potential of mobile technologies in enhancing the provision of library services, the availability of relevant digital content, library staff and users’ level of digital and information literacy competencies to navigate digital platforms, user friendliness of DL platforms, material and financial support to access m-libraries, power supply and access to internet connectivity.

The results from this study will generate knowledge and insight into the factors that affect the development and optimal use of mobile DLs to enhance and widen access to scholarly databases irrespective of time and space. This study will make recommendations that will enable South African policymakers to make informed decisions relating to the factors affecting the development and usage of mobile DLs for enhanced learning, teaching and education.

Given the growing number of scholarly publications on mobile DLs, this study seeks to discover how such technologies can help enhance learning, teaching and research in higher education. This study’s findings will provide a scientific basis for policymakers and researchers with evidence-based knowledge that raises the value of mobile DLs. It was discovered that if the identified factors are handled well, users can easily access tools, such as databases, electronic journals and online reference tools, and this could improve the quality of teaching and learning.

The rapid development of 5G technology brings the expansion of the internet of things (IoT). A large number of devices in the IoT work independently, leading to difficulties in management. This study aims to optimize the member structure of the IoT so the members in it can work more efficiently.

In this paper, the authors consider from the perspective of crowd science, combining genetic algorithms and crowd intelligence together to optimize the total intelligence of the IoT. Computing, caching and communication capacity are used as the basis of the intelligence according to the related work, and the device correlation and distance factors are used to measure the improvement level of the intelligence. Finally, they use genetic algorithm to select a collaborative state for the IoT devices.

Experimental results demonstrate that the intelligence optimization method in this paper can improve the IoT intelligence level up to ten times than original level.

This paper is the first study that solves the problem of device collaboration in the IoT scenario based on the scientific background of crowd intelligence. The intelligence optimization method works well in the IoT scenario, and it also has potential in other scenarios of crowd network.