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As a smart service, location-based advertising (LBA) integrates advanced technologies to deliver personalized messages based on a user’s real-time geographic location and needs. However, research has shown that privacy concerns threaten the diffusion of LBA. This research investigates how privacy-related factors (i.e. LBA type, privacy self-efficacy (PSE) and consumer generation) impact consumers’ value-in-use and their intention to use LBA.

This study developed and examined an LBA value-in-use framework that integrates the role of LBA type, consumers’ PSE and consumer generation into the technology acceptance model (TAM). Data were collected through two experiments in the field with a total of 374 consumers. The proposed relationships were tested using PROCESS modeling.

The results reveal that pull (vs push) LBA causes higher value-in-use in terms of perceived usefulness and perceived ease of use, leading to greater usage intention. Further, the differences in the mediated relationship between pull- and push-LBA are larger among consumers of low PSE (vs high PSE) and Generation Z (vs other generations). The findings suggest that the consumer value-in-use brought about by LBA diminishes when using push-LBA for low PSE and Generation Z consumers.

This research is the first to integrate the privacy-related interactions of LBA type and consumer characteristics into TAM to develop a TAM-based LBA value-in-use framework. This study contributes to the literature on service value-in-use, smart services and LBA by clarifying the boundary conditions that determine the effectiveness of LBA in enhancing consumers’ value-in-use.

Mobile location-based service (m-LBS) seems like a new class of personalized service due to location positioning technologies. This work aims to investigate consumer readiness (RED) toward m-LBS based on integrating pull effect- and push effect-related factors into the technology acceptance model (TAM).

An online survey collected data from 423 participants, and the research framework was analyzed using structural equation modeling (SEM).

The results divulge that consumer RED is determined by TAM antecedents, including usefulness (USE) and ease of use (EOU). EOU motivates USE in m-LBS. Regarding pull effect-related factors, absorptive capacity (ABC) is the strongest positive factor influencing consumer RED to use m-LBS, followed by technology willingness (TWI) and innovativeness (INN). Moreover, INN, trust (TRU) and perceived risk (RIS) significantly influence USE and EOU.

This work endeavors to explicate customer RED toward m-LBS by incorporating some meaningful pull effect-related dimensions (i.e. ABC, TWI and INN) and pushing effect-related dimensions (i.e. RIS) into crucial antecedents rooted in TAM. Thus, the findings assist practitioners in developing marketing strategies by boosting pull effects and controlling push effects on customer engagement in m-LBS.

Technological advancement has forced academic libraries to change their traditional services and routines by adopting emerging technologies to respond to the changing information needs of their users who are now more technologically inclined and prefer to access information remotely and in a timely manner. Smart technologies are the recent trends in academic libraries. This research aims to investigate the level of smart information service implementation at academic libraries in Jordan. It also aimed to investigate the correlation between the level of smart information services offered by the libraries and the level of digital competencies among the library staff.

This research is designed using survey design to collect comprehensive information from the study participants. A questionnaire was disseminated to 340 respondents, and 246 questionnaires were returned and were suitable for analysis with a response rate of 72.4%.

The results indicated a moderate level of smart information service offered by academic libraries, as well as a moderate level of digital skills associated with the advocacy of smart information services. The results also indicated a strong and positive relationship between the level of smart information services at the investigated libraries and the level of digital competencies among the librarians.

The findings will help other academic libraries understand how to respond to the emergent change in users’ information-seeking behavior by understanding their available human resources competencies and the requirement to undergo this emergent change.

This paper provides insights and practical solutions for academic libraries in response to global information trends based on users’ behaviors. This research was conducted in Jordan as one of the developing countries and hence it provides insights of the situation there. It will help academic libraries in Jordan and the region to handle and cope with the challenges associated with technology acceptance based on its staff level of digital competencies. The contribution of this research that it was done in a developing country where progress in the filed can be considered slow because of many factors, mainly economics, where institutions focus on essential library objectives, which are information resources development and databases subscriptions.

Online platforms are providing diversified and personalized services with user information. Users should decide if they should give up parts of information for convenience, with their information being at the risk of being illegally collected, leaked, spread and misused. This study aims to explore the main factors influencing users' online information disclosure intention from the perspectives of privacy, technology acceptance and trust, and the authors extend previous research with two moderators.

Based on 48 independent empirical studies, this paper conducted a meta-analysis to synthesize existing results from collected individual studies. This meta-analysis explored the main factors influencing users' online information disclosure intention from the perspectives of privacy, technology acceptance and trust.

The meta-analysis results based on 48 independent studies revealed that perceived benefit, trust, subjective norm and perceived behavioral control have significant positive effects, while perceived privacy risk and privacy concern have significant negative effects. Moreover, cultural background and platform type moderate the relationship between antecedents and online information disclosure intention.

This paper explored the moderating effects of an individual factor and a platform factor on users' online information disclosure intention. The moderating effect of cultural differences is examined with Hofstede's dimensions, and the moderating role of the purpose of online information disclosure is examined with platform type. This study extends online information disclosure literature with a multi-perspective meta-analysis and provides guidelines for practitioners.

Hedonic value is commonly conceded as a determinant of behavioral intentions toward location-based advertising (LBA). However, the careful consideration of a mechanism behind hedonic motivation and its subsequent impact on continuance intention is inadequate. This study aims to explore the formation of hedonic value and its motivation for prolonged usage toward LBA.

A sample of 486 mobile users was recruited to evaluate the research model using structural equation modeling (SEM).

Results reveal that perceived utility and promotional offers are the strongest indicators of hedonic value. Moreover, social support and contextual convenience play an essential role in heightening hedonic value. Furthermore, the research lenses attempt to clarify the direct, indirect influences of hedonic value, irritation and perceived credibility on continuance intention.

The findings offer practitioners an understanding of how to improve hedonic value and continuance intention and develop effective LBA strategies in emerging markets.

This study narrows the gap of current literature by formulating a hedonic value-based continuance intention model based on uses and gratifications theory (UGT). Additionally, this work illuminates the insights into hedonic value toward LBA by identifying its motivations, including perceived utility, promotional offers, social support and contextual convenience.

This study attempts to discover effective strategies for mobile commerce applications (apps) to grow their consumer base by releasing app strategic updates. Drawing on the landscape search model from strategy research, this study conceptualizes mobile app update strategy as three interdependent decisions, i.e. what business elements are changed in an app strategic update, how substantial the changes are and when strategic updates are released relative to the competitive environment.

Using a field data set of 1,500 strategic updates of seven rival apps in the mobile travel market, this study integrated fuzzy set qualitative comparative analysis (fsQCA) with econometric analysis to analyze how app strategic update decisions interdependently influence app performance.

This study identified three effective and one ineffective mobile app update strategies from the mixed-method analysis, which verified the complex interdependency of app strategic update decisions. A general takeaway from these strategies is that a complex strategy problem on the mobile platform must be solved with respect to the constraints and capabilities of mobile technology.

This study moves beyond a linear view of the relationship between app update frequency and app performance and provides a holistic view of how and why app strategic update decisions mutually influence one another in their impact on app performance. This work makes contributions by identifying interdependency as a conceptual bridge between strategy and mobile app literature and developing an empirically testable version of the landscape search model.

Since banks do not sell tangible products, they rely heavily on customer interactions and retention, which requires service quality, customer satisfaction and customer loyalty. Banks must innovate and develop new services and expand customer engagement efforts beyond stores, kiosks, direct mail and websites to include social media, mobile applications and location-based services in order to meet their customers’ growing demands. A multi-channel strategy that integrates the offline and online presences of banks can increase quality, customer satisfaction and loyalty. This paper aimed to use a service quality scale to: (1) examine the association between service quality and customer satisfaction; (2) examine the association between customer satisfaction and customer loyalty; (3) examine the indirect association between service quality and customer loyalty through customer satisfaction; and (4) examine the mediation effect of multi-channel integration quality in the relationships between service quality, customer satisfaction and customer loyalty.

The data was obtained from banks in Saudi Arabia. The analysis was based on an online survey of 265 Saudi bank customers. The multi-channel integration quality model and Statistical Package for the Social Sciences (SPSS) were used to test the proposed hypothesis and conduct the analysis.

The results found that there was a statistically significant link between service quality and customer satisfaction in the Saudi banking industry. Service quality did not directly affect customer loyalty. When multi-channel integration quality was moderate to high, service quality affected customer loyalty through customer satisfaction. For service quality and customer loyalty in the Saudi banking sector to be achieved, customers must be satisfied, but also the bank’s brand must manage the quality of integration channels provided to them with care, and thus branding plays a key role in achieving customer loyalty in the Saudi banking sector.

The academic community has provided little evidence to support how the relationships between constructs such as service quality, customer satisfaction, customer loyalty and multi-channel integration quality apply to the Saudi banking sector. A conceptual framework was proposed to show how these constructs affect the Saudi banking sector. An empirical study was conducted to see how the framework held up in banking settings. The conceptual framework serves to advance the fields of business and management and banking and their respected literature, as well as advance the understanding of multi-channel integration in boosting customer satisfaction and loyalty through high service quality in the Saudi banking sector.

Mobile travel apps (MTA) smart features were identified based on recent travel application (app) trends and a literature review of MTA smart features. Subsequently, the MTA features that could be prioritised to increase user interest in MTA were determined. The MTA smart feature development challenges that should be mitigated were also identified.

The app identification and selection were based on the one-stop solution characteristics containing the common function of travel apps and eight MTA smart features. A total of 193 Apple apps and 250 Google apps were identified, where 36 apps that met the inclusion and exclusion criteria based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses flowchart were selected for evaluation.

The high user ratings for apps from both app stores revealed the acceptance of smart technology in the tourism industry. Geolocation tracking services, travel itinerary generators, and real-time personalisation and recommendation were the three major features available in the included MTA. The challenges of MTA with smart features were highlighted from the tourism organisation, app developer and user perspectives.

The findings can guide tourism organisations and app developers on the smart features that MTA should offer for user engagement. Technological organisations could optimise their technology stack by considering the identified smart features. The findings are valuable for scholars in terms of MTA aesthetics and usability to gain acceptability. The development challenges included significant investment in technology, location accuracy and privacy concerns when implementing MTA smart features.

The previous literature mainly focused on evaluating app quality, assessing app functionality, and user ratings using the Mobile Application Rating Scale, and scoping reviews of MTA articles. Contrastingly, this study is among the first in which MTA smart features were examined from a developer-centric perspective. Moreover, it is suggested that MTA includes integrated smart features for better tourism services and market penetration in the tourism industry.

For the provision of smart library services to end users, tools of the Internet of Things (IoT) play a significant role. The study aims to discover the factors influencing the adoption of IoT in university libraries, investigate the impact of IoT on university library services and identify challenges to adopt IoT applications in university libraries.

A systematic literature review was carried out to address the objectives of the study. The 40 most relevant research papers published in the world’s leading digital databases were selected to conduct the study.

The findings illustrated that rapid growth in technology, perceived benefits, the networked world and the changing landscape of librarianship positively influenced the adoption of IoT in university libraries. The study also displayed that IoT supported library professionals to initiate smart library services, assisted in service efficiency, offered context-based library services, provided tracking facilities and delivered effective management of library systems. Results also revealed that a lack of technical infrastructure, security and privacy concerns, a lack of technological skills and unavailability of policy and strategic planning caused barriers to the successful adoption of IoT applications in university libraries.

The study has provided theoretical implications through a valuable addition to the current literature. It has also offered managerial implications for policymakers to construct productive policies for the implementation of IoT applications in university libraries for the attainment of fruitful outcomes. Finally, the study provides a baseline for understanding the adoption of IoT in academic libraries.

The purpose of the current research is to present an explanatory framework for how people selectively attend to privacy-related news information about LBA depending on the extent to which they know about LBA already as well as their appraisals of privacy threats and efficacy.

The proposed model was tested using structural equation modeling based on a total of 522 useable responses obtained from an online survey.

The results revealed two different approaches to information exposure: (1) people choose to seek out privacy-related news articles when their persuasion knowledge and perceived threat level are high, whereas (2) they tend to avoid such information when perceived threats accompany fear as well as psychological discomfort, or when they believe that they are knowledgeable about LBA practices and highly capable of protecting their privacy.

With the development of real-time location-tracking technologies, the practice of LBA is becoming increasingly popular. As such, however, concerns about data collection and privacy are also on the rise, garnering a great deal of media attention. Despite the importance and constant stream of news reports on the subject, a comprehensive understanding of consumers' privacy assessments and information consumption remains underexamined. By incorporating the persuasion knowledge model and extended parallel process model, the current research presents an explanatory framework for consumers' privacy perceptions and information choice.