International Journal of Mobile Communications (28 papers in press)

Regular Issues

• Switch to a new version or keep status quo? The explanation for users to update software from push-pull-mooring perspective  
  by Xue Sun, Yuhao Li 
  Abstract: Companies invest high-volume costs in software maintenance but often failed to receive equivalent feedback from users (e.g., resistance to update). This research aims to shed light on the update motivation of users. In the context of online meetings (OMs), this study is guided by the status quo bias and the application technology innovation theory to establish an updating motivation model framed by push-pull-mooring (PPM). The model was verified using the PLS method based on an online survey with 380 samples. The results indicated that push factors, pull factors, and mooring factors have significant impacts on the OM users’ update intention. A multi-group comparison further shows that the cognitive resource moderates the effects of pull and mooring factors on the OM update.
  Keywords: status quo bias; SQB; cognition resource; push-pull-mooring; PPM; software update; migration in IS; online meeting.
  DOI: 10.1504/IJMC.2025.10063219
   
  
• Gamification, socialisation, or self-purpose? Who is using the swarm app and why?  
  by Haldun Çolak, Tahsin Percin Batum 
  Abstract: The study looks at how and why users use Swarm app with Foursquare combining hedonistic and utilitarian benefits with gratification factors in terms of gamer types. Swarm is the best location based social media (LBSM) because it satisfies all the factors. Since the app is mostly used by young people, data from 195 university students was collected and analysed using least squares structural equation modelling (PLS-SEM). The empirical findings show strong correlations between gratification factors (gamification, socialisation, and self-purpose) and hedonic and utilitarian benefits. The results also indicate that hedonic benefit fully mediates the relation between gratification factors and intention. The results of multigroup analysis (MGA) show that different user types moderate a large portion of the overall model, implying that user characteristics are important explanatory factors because they explain why and how different user types use Swarm. By focusing on gratification, the study expands knowledge and provides new insights.
  Keywords: uses and gratifications; U&G; user types; social networks; PLS-MGA.
  DOI: 10.1504/IJMC.2025.10064622
   
  
• Performance analysis of 3D M-tier heterogeneous networks using adaptive multi-stream carrier aggregation  
  by Rekha Mathivanan, Bhuvaneswari Mariappan 
  Abstract: In recent days, heterogeneous networks (HetNets) gaining enhances range of attention as the promising concept in mobile networking. Several cellular standards like long term evolution (LTE) are introduced for the mobile devices that were not appropriate for Low power devices. In this paper, a new-fangled next generation 3D HetNet model is proposed by placing the small cells positions in the HetNet Environment under realistic constraints. An approach of Adaptive Multi-stream carrier aggregation (AMCA) is proposed for enhancing the bandwidth amount of the HetNet users. The 3D M-tier HetNet with AMCA is adopted mainly for eliminating cross-tier interference and increasing energy efficiency (EE). This method is employed for transmitting healthcare related data under IoT-based mobile (m)-health application scenario. The proposed work performance estimation is made with respect to phase response metrics, EE, error vector magnitude (EVM) and absolute in-band emission for varied range of carrier components (CCs).
  Keywords: heterogeneous networks; carrier components; CCs; LTE advanced; adaptive multi-stream carrier aggregation; AMCA; 3D M-tier HetNet; healthcare application.
  DOI: 10.1504/IJMC.2025.10064691
   
  
• Understanding young adults’ use of mobile banking: the integration of the UTAUT, D&M, and PMT models  
  by Muhammad Ashraf Fauzi, Christine Nya-Ling Tan 
  Abstract: Recognising factors driving m-banking adoption among young adults is crucial for improving user performance. However, little knowledge exists of their acceptance and usage. Thus, this research investigates the factors driving m-banking adoption among young adults in higher education institutions. It integrates three theoretical models: the Unified Theory of Acceptance and Use of Technology (UTAUT), the Delone and McLean (D&M) IS theory, and the protection motivation theory (PMT). A self-administered survey was distributed to university students in Malaysia using a quantitative technique approach. The partial least squares structured equation modelling results showed that performance expectancy, facilitating condition, system quality, information quality, and perceived severity significantly correlate with intention. However, effort expectancy, social influence, service quality, trust, perceived privacy, perceived security, perceived vulnerability, and satisfaction did not. This study bridges research gaps to provide a comprehensive knowledge of how these models increase m-banking services’ acceptance and usage, particularly among young adults.
  Keywords: M-banking; young adults; university students; unified theory of acceptance and usage of technology; DeLone and McLean IS theory; D&M; protection motivation theory; PMT.
  DOI: 10.1504/IJMC.2025.10064926
   
  
• Why people discontinue using smart wearable devices: an integrated benefit-risk perspective  
  by Shin-Horng Chen, Cheng-Kui Huang, Wan-Ching Cheng 
  Abstract: With the vigorous development of science and technology, people have increasingly relied on the convenience of emerging technologies in the recent years, making wearable devices one of the fastest-growing and popular products. However, after enjoying these devices for a while, there may be multiple risk and benefit considerations, affecting the users’ intention to stop using them. Although there are many studies on the use intention of information technology, few studies have discussed the discontinuance issue of smart wearable devices. Therefore, we propose an integrated model, consisting of the perceived risk and the perceived benefit, to explore the factors that affect the users’ intention to terminate the usage of smart wearable devices. A questionnaire survey was conducted, and 529 valid questionnaires were collected to analyse the samples using structural equation modelling. The result showed that our model had 57% explanatory variability. The findings and implications are beneficial to researchers and practitioners.
  Keywords: discontinuance usage; perceived risk; perceived benefit; smart wearable device.
  DOI: 10.1504/IJMC.2025.10065067
   
  
• Customer intention in using mobile payment: perspectives of attitudes and mooring effects  
  by Chien-Ta Ho, Jhong-Min Yang, Tung-Miao Chang 
  Abstract: In many cases, consumers’ positive and negative attitudes towards technology often coexist, making it challenging to determine whether these attitudes encourage or deter adoption at any given moment, even if positive/negative factors are strong, some consumers may not adopt or abandon the technology due to the mooring effects of environmental factors. This study establishes an innovative A-M model. We evaluate the model using 306 valid samples for the structural equation modelling (SEM) analysis. The findings indicate that positive attitudes, negative attitudes, and mooring effects coexist in the user’s mind because of the reflections of technology characteristics, individual perceptions, and environmental and contextual variables. Only the positive attitudes affect consumers’ intentions to use m-payment significantly. Furthermore, the mooring effect’s moderating effects were limited to the relationship between negative attitudes and usage intentions. This paper concludes by discussing the academic and practical implications and suggestions for further research.
  Keywords: mobile payment; positive attitudes; negative attitudes; mooring effects; intention to use.
  DOI: 10.1504/IJMC.2025.10066122
   
  
• Exploring the influence of trust transfer and privacy calculus on the intention to disclose information on social media payment  
  by Jengchung Victor Chen, Khulan Tuvshinbat, Sinh Thi Thu Tran 
  Abstract: Social media payment recently has arisen to be a new form of digital payment and has the characteristics of both mobile payment and social media. This paper develops a model to investigate the trust transfer mechanism from social media and mobile payment to social media payment, the calculus of risks and benefits as key factors on users’ intention to disclose information on social media payment and the moderating roles of trust on the relationships between perceived risks and intention and between perceived benefits and intention. A two-stage experiment was conducted to collect data to empirically test the research model. The results show that the structural assurance trust of social media and the competence, benevolence, and integrity trust of mobile payment successfully transfer into trust in social media payment. Trust in social media payment, perceived risks, and perceived benefits are found to significantly lead to the intention to disclose information to social media payment. However, trust in social media payment does not influence the relationships between perceived risks and intention and between perceived benefits and intention. This hints that users would judge based more on objective information rather than be influenced by subjective trust.
  Keywords: social media payment; mobile payment; social media; trust transfer; privacy calculus; intention to disclose.
  DOI: 10.1504/IJMC.2025.10066630
   
  
• Evaluation factors for consumers to open mobile positioning function to receive and to click location-based advertising  
  by Heng-Li Yang, Shiang-Lin Lin 
  Abstract: Local-based advertising (LBA) service is the newest application of mobile advertising, it can transmit the advertisement concerning consumers’ geographical location, and can more effectively achieve the marketing effect. However, LBA service is still a newly emerged mobile application service. As a result, there are not yet many consumers who are willing to enable the positioning function in their mobile devices to receive and click the LBA. Therefore, it would be essential for future development of LBA services what evaluation factors would make the consumers willing to enable the mobile positioning function to receive LBA and to click the received LBA. Accordingly, this study combined FAHP and DEMATEL to conduct a two-phase analysis: 1) the factors evaluated by consumers to receive the LBA; 2) the factors to click for watching the received LBA. The most critical evaluation factors were reported.
  Keywords: local-based advertising; consumption value theory; privacy risk; fuzzy AHP; DEMATEL.
  DOI: 10.1504/IJMC.2025.10067345
   
  
• Intelligent resource allocation for 5G cloud-radio access networks  
  by Naveen Kumar 
  Abstract: The growing demand for mobile data services has driven efforts to improve the quality of service (QoS) in beyond 5G (B5G) networks. Moving beyond conventional static methods, 5G enables flexible programming using software-defined networking, slicing, and network capability exposure to optimise QoS. A key advancement in 5G is the cloud-radio access network (C-RAN), which separates baseband processing units from remote radio heads and centralises them in the cloud. This paper introduces an adaptive, QoS-aware resource allocation model for multi-tenant, multi-service C-RAN scenarios. A deep reinforcement learning (D-RL) approach is used to achieve optimal resource distribution. Experimental validation with a 5G prototype based on open air interface (OAI) confirms the superiority of this method in terms of network throughput, prediction accuracy, and system utilisation compared to other resource allocation techniques.
  Keywords: 5G; cloud-radio access network; C-RAN; artificial intelligence; deep reinforcement learning; Q-learning; quality of service; QoS; resource allocation.
  DOI: 10.1504/IJMC.2025.10067346
   
  
• Design of effective non-orthogonal multiple access system by maximising spectral and energy efficiency using hybrid heuristic optimisation approach  
  by R. Prameela Devi, N. Prabakaran  
  Abstract: Power allocation for the trade-off between EE-SE for uplink systems of NOMA, however, it still has a problem that remains unresolved. The hybrid heuristic-based multi-objective function model is a prop to maximize such efficiencies in the NOMA systems. The major aspect of this novel approach is increasing the SE and Energy Efficiency (EE) without any degradation or loss of information. Over the NOMA system, the factors like beam forming vectors optimized the time and power allocation using the newly designed hybrid algorithm Hybrid Black Widow and Rat Swarm Optimizer (HBWRSO) for maximizing efficiency. Further, the proposed algorithm is employed to derive the multi-objective function with the help of three constraints: SE, EE and outage probability. Lastly, the system's performance is examined, and the corresponding results are carried out. Therefore, the findings reveal that it has maximized the SE and EE compared to baseline methodologies.
  Keywords: non-orthogonal multiple accesses; spectral efficiency; energy efficiency; hybrid black widow and rat swarm optimiser; RSO; beam forming vector; time allocation; power allocation.
  DOI: 10.1504/IJMC.2025.10067375
   
  
• Factors and mechanisms influencing the resilience of peer-to-peer accommodation hosts during the COVID-19 crisis: insights from a qualitative study  
  by Junjing Wang, Maomao Chi, Rui Huang, Wenjing Li 
  Abstract: The COVID-19 pandemic has profoundly impacted the Peer-to-Peer (P2P) accommodation sector and significantly affected P2P accommodation hosts. The substantial disruption of this sector calls for academic exploration of the mechanisms leading to resilience of P2P accommodation hosts during crises. This qualitative study involved interviews with 19 hosts who successfully navigated the challenges presented by the pandemic. Utilizing coping theory and the concept of platform governance, we identified key determinants of host resilience, including threat appraisal, capability appraisal, problem-focused coping strategies, emotion-focused coping strategies, incentive, formal control, and informal control. Our findings revealed that host resilience stemmed from a complex interplay between internal mechanisms and external environment, a dynamic we described as the hosts’ coping process. Furthermore, the governance mechanisms of P2P accommodation platform were found to potentially synergize with these coping processes and co-influence resilience outcomes. This study not only extends the application of coping theory to the resilience of micro-entrepreneurs but also provides practical insights for P2P platforms and their hosts to effectively manage and overcome the challenges induced by crises.
  Keywords: peer-to-peer; P2P; accommodation platform; host resilience; coping theory; platform governance; crisis management; qualitative study.
  DOI: 10.1504/IJMC.2025.10067660
   
  
• Analysing key factors affecting user satisfaction and continuance intention in VR headsets  
  by Hyeon Jo, Jooyoung Kim 
  Abstract: The rapid evolution of VR technology necessitates a deeper understanding of the factors influencing user satisfaction and continuance intention. This study investigates the impact of sensory affordance, system quality, and navigation design on user satisfaction and continuance intention, employing the expectation-confirmation model (ECM). The research aims to elucidate how these factors shape user experiences and sustained engagement with VR headsets. Using partial least squares structural equation modelling (PLS-SEM) and a sample size of 268 VR users, the study tests several hypotheses. Findings indicate that sensory affordance significantly impacts navigation design and confirmation but not perceived usefulness. System quality influences navigation design, confirmation, and perceived usefulness, underscoring its critical role. Navigation design significantly affects confirmation, perceived usefulness, and satisfaction. Confirmation strongly impacts both perceived usefulness and satisfaction, which in turn, drive continuance intention. Satisfaction emerges as a crucial determinant of continued use.
  Keywords: virtual reality; VR headset; continuance intention; expectation-confirmation model; ECM; design.
  DOI: 10.1504/IJMC.2025.10067554
   
  
• The impact of gamification features on customer brand engagement: A study in entertainment mobile apps  
  by Amir Reza Konjkav Monfared, Mohammad Ghaffari, Mohammad Nematpour, Mohammadreza Barootkoob, Milad Mohebali Malmiri, Leila Malekpur 
  Abstract: This study aims to develop a conceptual model to investigate the influence of main features of gamification (entertainment, interactivity, innovation, and sociability) on costumers brand engagement in terms of emotional, cognitive, and behavioural dimensions on SnappQ as the online social and entertaining application. A survey employing researcher-developed-questionnaire was conducted by collecting data from 233 customers using SnappQ in Iran. The structural equation modelling method was employed to investigate research hypotheses. The findings of this study revealed that gamification features have a significant relationship with customer brand engagement. Following the findings, employing gamified services and gamification features in online social and entertaining platforms help managers to satisfy customers psychological needs, and this leads them to have to learn the manner of managing their customers to engage them profitably. The findings help marketing managers/practitioners to understand how to enhance customers motivation to engage with the desired brand by designing different gamification features.
  Keywords: gamification feature; customer engagement; cognitive engagement; emotional engagement; behavioural engagement.
  DOI: 10.1504/IJMC.2025.10067555
   
  
• Weather prediction based on wireless sensor network and internet of things with analysis using hybrid SSOA with MA  
  by Priya Shamu, Anila Sathishkumar  
  Abstract: Weather forecasting is a rapidly expanding field that forecasts the weather in a specific location at a certain time weather forecasting is regarded as the most essential aspect of study since it involves numerous real-time problems. These are the specifications for weather-detecting wireless sensor networks. In this paper, we suggest combining the mayfly algorithm (MA) with the shuffled shepherd optimisation algorithm (SSOA). A collection of climatic data is used to carry out the experiments. The data is split into heat, wind, and rain based on meteorological factors such as temperature, humidity, and clouds. The weather is expected to verify the suggested qualifying techniques at a high degree of accuracy, based on the results achieved. The result demonstrates that the hybridised SSOA and MA technique is effective and precise in forecasting meteorological conditions. This experiment was conducted out on agricultural land utilising a wireless sensors network and IoT.
  Keywords: agriculture fields; wireless sensor network; WSN; climate monitoring; weather prediction; hybrid SSOA.
  DOI: 10.1504/IJMC.2025.10067753
   
  
• The application of cloud and IoT-based architectures for digital twins in smart cities: a bibliometric study  
  by Mindong Zhu, Mehdi Darbandi, Habibeh Nazif, Faradillah Amalia Rivai 
  Abstract: Due to the swift advancement of the IoT and global cloud computing, various sectors have progressively transitioned towards a contemporary society characterised by intelligence. These technologies have gradually permeated the realm of smart cities and addressed urban problems that develop due to enhancing urbanisation without establishing policies that focus on well-being. Because of their importance in many fields, this work aims to present a thorough understanding of the longitudinal state and knowledge structure of cloud- and IoT-based infrastructures for digital twins (DT) in smart cities. The present investigation uses bibliometric analysis to explore the growing trend of dynamic publications associated with the advanced technologies integrated into DT in smart city publication productivity. 2,500 publications from 22 journals between 2013 and 2023 are carefully evaluated to reveal the current trend of cloud and IoT research topics. The results indicate the importance of cloud and IoT-based architectures for DT in smart cities.
  Keywords: cloud computing; internet of things; IoT; smart cities; digital twins; DT; bibliometric review.
  DOI: 10.1504/IJMC.2025.10068400
   
  
• Consumers’ hierarchy value structure on social commerce: A means-end chain approach  
  by Hong-Wen Lin, Yu-Ling Lin, Ya-Cing Jhan 
  Abstract: This study employs the means-end chains theory to explore the attributes emphasised by social commerce consumers and the resulting psychological values. We employ methods such as laddering interviews, content analysis, implication matrix, and hierarchical value map to construct the hierarchical value structure of ‘platform attributes - consumption consequences - psychological values’ from the consumer’s perspective. The study categorised and summarised 12 platform attributes, ten consumption consequences, and eight psychological values. Additionally, this study extends the three main attribute categories of social commerce, an area previously unexplored by other research. The results indicate that a higher proportion of consumers seek support from social media technologies, followed by community interactions and commercial activities within the social commerce environment. These findings help online sellers to understand the most valued elements for consumers. The sellers could make promotion strategies based on these findings.
  Keywords: social commerce; means-end chains; motivations; hierarchy value structure.
  DOI: 10.1504/IJMC.2025.10068549
   
  
• Design of a variable digital filter based on all pass transformation with low-power modified conventional full adder and low-power Wallace tree multiplier to eliminate noise from sensor nodes  
  by Baluprithviraj Krishnasamy Natarajan, Vijayachitra Senniappan, Malathi Subramanian Ramasundaram, Francis H. Shajin 
  Abstract: Variable digital filters (VDF) are essential components in digital signal processing, which find applications in audio processing and telecommunications. Current VDF designs often face challenges in delay, area consumption, and power efficiency. In this manuscript, design of all pass transformation fed variable digital filter using low power modified conventional full adder and low-power Wallace tree multiplier (APT-VDF-LPMCFA-LPWTM) is proposed. The proposed design is utilised for enhancing the filter efficiency by reducing noise in the sensor nodes. The proposed low power modified conventional full adder (LPMCFA) design is incorporated with carry prediction. Moreover, the proposed LPWTM is used for minimising the design complexity and power utilisation. The proposed filter attains 26.58%, 12.3%, 16.41% and 38.07% lower delay than the existing designs, FIR-Rdx2-LCSLA, FIR-RCA-VM, FIR-VL-CSKA-BM and PPA-VDRCA-FIR-ECG respectively. Simulation results of the proposed filter show improved noise reduction and reduced power consumption compared to conventional designs.
  Keywords: communication; signal processing; low power modified conventional full adder; LPMCFA; low-power Wallace tree multiplier; LPWTM; sensor nodes noise.
  DOI: 10.1504/IJMC.2025.10068712
   
  
• Taking charge of my health in my way! Exploring consumers continuous usage intention and brand loyalty toward health wearable devices: a hybrid method of PLS-SEM and artificial neural network  
  by Zhucheng Shao, Jessica Sze Yin Ho, Nguyen Xuan Truong , Dang Van My, Garry Wei-Han Tan 
  Abstract: Facing the low continuous use intention on Health Wearable Devices (HWDs) today, this study evaluates the effects of both individual and technical attributes on perceived satisfaction, thus affecting brand loyalty and continuous use intention by extending the Stimulus-Organism-Response (S-O-R) theory. An online self-administered questionnaire, consisting of 360 valid responses, is adopted for data collection and then conducts a hybrid analytical method that combines Partial Least Squares Structural Equation Modelling (PLS-SEM) and Artificial Neural Network (ANN). The findings show that health-consciousness, convenience, measurement accuracy and affordance significantly affect perceived satisfaction, which in turn affects brand loyalty and continuous use intention. Besides, brand loyalty positively relates to ongoing use intention. This study strengthens the role of S-O-R theory in continuous behavioural intention on HWDs by integrating individual and technical attributes and provides practical suggestions to manufacturers for enhancing consumer satisfaction and brand loyalty.
  Keywords: health wearable devices; HWDs; continuous use intention; brand loyalty; stimulus-organism-response theory; PLS-SEM-ANN; consumer behaviour.
  DOI: 10.1504/IJMC.2026.10068963
   
  
• Configurational analysis of negative purchase intention of online paid knowledge -evidence from China  
  by Yanhui Song, Deyu Min, Shiji Chen 
  Abstract: Following a period of rapid development in China, the knowledge payment industry is confronted with challenges such as declining repurchase rates. Exploring the negative purchase intention of online paid knowledge can aid in identifying the underlying causes of user attrition, thereby offering both theoretical underpinnings and practical insights for industry development. Focusing on the Chinese knowledge payment market, we introduce a novel variable, content type, and propose a conceptual model of negative purchase intention of online paid knowledge comprising six antecedent variables at three levels. We collected 375 samples using the questionnaire method and analysed the data using fuzzy-set qualitative comparative analysis (fsQCA). Through this method, we identify five sets of antecedent configurations and alternative relationships among the factors contributing to consumers’ negative intentions to purchase. Finally, we offer corresponding suggestions for the identified configurations to provide guidance for knowledge payment platform managers.
  Keywords: online knowledge payment; negative purchase intention; configuration perspective; fsQCA; chinese knowledge payment platforms.
  DOI: 10.1504/IJMC.2025.10069111
   
  
• Social media and social capital revisited: social trust and community satisfaction as catalysts of civic participation  
  by Dam Hee Kim, Joshua Von Herrmann, Seungahn Nah 
  Abstract: The current study seeks to advance our theoretical understanding of how the use of social media can facilitate civic participation by considering the different types of social media use as well as social capital. For social capital, this study considers psychological indicators (i.e., social trust and community satisfaction). Also, this study distinguishes active informational use of social media (i.e., expressive, searching, and sharing activities) from passive informational use of social media (i.e., simply viewing information). Analyses of a national survey conducted in South Korea (n = 1,294) show that active, not passive, informational social media use positively predicts civic participation. Importantly, active informational social media use facilitates civic participation among individuals with strong psychological social capital such as social trust and community satisfaction.
  Keywords: social media; social capital; civic participation; uses and gratifications; social trust; community satisfaction.
  DOI: 10.1504/IJMC.2026.10069231
   
  
• Peer communication emotional - arousal relationship in social media apps: the roles of benefit communication and social identity  
  by Li-Ling Liu 
  Abstract: The relationship between peer communication and emotional arousal has received little attention in social media research. The present research fills this research gap by exploring how benefit confirmation and social identity affect this relationship. This study collected questionnaire responses from 300 Taiwanese respondents; the findings indicated that peer communication significantly affected the aforementioned relationship. Specifically, the peer communication-social identity-emotional arousal relationship was stronger than the peer communication-benefit confirmation-emotional arousal relationship. This study was the first to explore the interrelationships between peer communication, benefit confirmation, social identity, and emotional arousal in relation to social media app use. The results revealed that the mediating effects of benefit confirmation and social identity on the relationship between emotional arousal and peer communication should not be overlooked.
  Keywords: social media app; SMA; peer communication; benefit confirmation; social identity; emotional arousal.
  DOI: 10.1504/IJMC.2026.10069232
   
  
• Elucidating mobile AR continuance intention: a dual fitting mechanism  
  by Hao Chen, Shuiqing Yang, Yuangao Chen, Shuang Zheng, Miao Zhang, June Wei 
  Abstract: Mobile Augmented Reality (AR) technology has revolutionized conventional human-computer interfaces and dramatically reshaped consumer behaviours. Based on task-technology fit (TTF) model and emotional fit theory, a research model reflected the dual fitting mechanism underlying mobile AR continuance intention was developed and analyzed by using data collected from 408 users of mobile AR services. Results from the structural equation modelling reveal that task mobility and spatial presence affect mobile AR continuance intention mainly via emotional fit, while confidence in AR influences mobile AR continuance intention predominantly through task-technology fit. In addition, technology fluency affects mobile AR continuance intention via both task-technology fit and emotional fit. Compared with mobile AR utilitarian applications, technology fluency has a greater impact on task-technology fit when using mobile AR hedonic applications. However, in terms of mobile AR hedonic applications, spatial presence exerts a greater impact on task-technology fit when compared with mobile AR utilitarian applications.
  Keywords: mobile augmented reality; continuance intention; task-technology fit; emotional fit; mobile AR application.
  DOI: 10.1504/IJMC.2026.10069686
   
  
• Multi-objective resource allocation for satellite-based cognitive IoT communications using power-domain NOMA  
  by Jizheng Yang, Amin Mohajer 
  Abstract: The rapid growth of IoT devices and the demand for efficient data transmission have made advancements in satellite communication essential. This paper introduces a novel framework for multi-objective resource allocation in satellite-based cognitive IoT communications using power-domain NOMA. Our method integrates serverless computing and multi-objective optimisation to enhance satellite network performance. The framework dynamically manages resources like bandwidth and power, ensuring low latency and optimal performance using backhaul traffic optimisation. Key steps include analysing network data to predict future needs, employing real-time functions for adaptive resource allocation, and using multi-objective optimisation to configure satellite constellations for minimal latency, reduced power consumption, and maximised throughput. Extensive simulations validate the framework’s effectiveness, demonstrating significant improvements in data rate, energy efficiency, and overall performance. Specifically, our proposed NOMA.QAM framework achieves a 25% reduction in bit error rate (BER) and a 30% increase in spectral efficiency compared to traditional NOMA with SIC. Additionally, it demonstrates a 20% improvement in energy efficiency, highlighting its potential for energy-constrained applications. These results indicate that the integration of power-domain NOMA with serverless computing and multi-objective optimisation provides a promising solution for advancing satellite-based cognitive IoT communication systems, ensuring efficient, reliable, and scalable network management.
  Keywords: cognitive IoT; multi-objective optimisation; satellite communications; dynamic resource management; power-domain NOMA.
  DOI: 10.1504/IJMC.2026.10069895
   
  
• iBlockcity: a blockchain-based smartcity architecture for secure data transmission in smartcities using the internet of everything  
  by Senthil Prakash Kuppusamy, Mahendrakumar Subramaniam, Prabhavathy Sundaram, Vanitha Krishnan 
  Abstract: The smartcity's complex design raises several security issues for a diverse device ecosystem. A device management system is needed to control each node because an attacker is more likely to get in through a single device or node in a network of different devices. This article suggests a blockchain-based smartcity architecture for secured data transmission in smartcities using the internet of everything (IoE) called iBlockcity. The proposed architecture integrates various technologies like blockchain, IoE, machine learning, and cloud computing to create a secure and efficient system for data transmission. In addition, principal component analysis (PCA) is utilised for feature extraction and data reduction to enhance the system's performance. The proposed architecture ensures secure data transmission using blockchain technology for authentication and encryption. iBlockcity utilises machine learning methods to optimise data processing and power usage. The suggested method is tested using a simulation environment with different datasets, and the results show that the iBlockcity effectively ensures secure data transmission in smartcities. The proposed iBlockcity architecture provides a robust and reliable solution for smartcity applications that require safe and efficient data transmission.
  Keywords: blockchain; smartcity; security; internet of everything; IoE.
  DOI: 10.1504/IJMC.2025.10067344
   
  
• Understanding the factors influencing the adoption of OTT services  
  by Yi-Hsiang Lu, Ching-Chiang Yeh, Shih-Ping Hsu 
  Abstract: As a new application technology, over-the-top (OTT) service has attracted widespread attention. Understanding the determinants that facilitate viewer adoption is a critical issue for OTT service providers. OTT service is a new technological form that has received scant attention in academia, and thus to fill the gap in the literature this study investigates the critical determinants affecting viewer adoption of such service. First, this study integrates the DeLone and McLean (D&M) model of IS success and the uses and gratifications theory (UGT) as a theoretical framework to develop the relevant determinants. Second, we propose a hybrid method that combines the decision making trial and evaluation laboratory (DEMATEL) with the evaluation based on distance from average solution (EDAS) method. Moreover, we employ DEMATEL to measure the importance of the determinants and rank OTT service suppliers by EDAS. According to the ranking results, we identify the best performance as well as the worst performance among OTT service suppliers. Finally, the conclusion suggests valuable strategies for OTT service providers to spur viewer adoption.
  Keywords: OTT service; D&M model; uses and gratifications; DEMATEL technique; EDAS method.
  DOI: 10.1504/IJMC.2025.10069768
   
  
• Predictors of Instagram use for user productivity: self-control, notifications, and checking habits  
  by Cemil Akkaş, Aykut Hamit Turan 
  Abstract: Social networking sites usage may result in individuals' heightened procrastination and lowered productivity. Based on the temporal motivation theory (TMT), this study investigates the antecedents of Instagram use for procrastination and their effects on users' productivity. A survey (N = 356 Instagram users in Turkey) is administered, and the structural equation modelling (SEM) is run respectively to gather and analyse the data. Self-control is revealed to be a predictor of Instagram use for procrastination, yet no significant relationship is found to be prevalent between notifications and checking habits with the Instagram use for procrastination. Furthermore, procrastination, the frequency of checking Instagram, and notifications received from this application have been shown to have a detrimental influence on productivity, as expected. Similarly, self-control and productivity are shown to have a positive correlation. We also suggested some theoretical and practical implications.
  Keywords: procrastination; self-control; notifications; checking habits; Instagram; productivity; SEM.
  DOI: 10.1504/IJMC.2025.10064102
   
  
• The enchantment of live broadcasters and online impulse buying  
  by Edward C.S. Ku, Chun-Der Chen, Ya-Hui Chan, Ling-Ling Liu 
  Abstract: This study examines the elements of external information that influence buyers' psychological state and subsequent behavioural intention from the perspectives of emotion and source credibility. The sample consists of people with impulse buying experience on Taobao and JD.com. We contacted the online retailers and asked them to provide their buyers with an invitation message and a hyperlink to our survey, and 517 valid questionnaires were returned. The results show that review helpfulness, product enticement, and trust in broadcasters significantly contribute to online buyers' emotional responses, while the influence of emotional response on impulse buying is moderated by the effect of online retailer stickiness. Impulse buying has become a critical issue; increasingly, more online retailers focus on impulse buying mechanisms to understand how to enhance best buying behavioural. This study provides an overall understanding of impulse buying with online retailers.
  Keywords: impulse buying; review helpfulness; product enticement; trust in broadcasters; emotional responses; online retailers.
  DOI: 10.1504/IJMC.2025.10063857
   
  
• Bayesian multi-agent-based load balance for control video traffic in wireless mesh network  
  by G.P. Raja, Arthanari Vadivalagan Santhosh Babu 
  Abstract: In this manuscript, Bayesian multi-agent-based prioritised load balancing is proposed for controlling video traffic in a wireless mesh network (BMA-PLB-CVT-WMN) to overcome such limitations. The Bayesian multi-agent based prioritised load balancing scheme enhances video packet balance and load performance by minimising end-to-end delay. This scheme deploys multiple agents routing agent, a traffic monitoring agent, and a traffic controlling agent to manage video traffic efficiently in a WMN. Initially, the routing agent facilitates optimal path selection for video packets from source to destination nodes, ensuring reliable delivery. The traffic monitoring agent, guided by the Bayesian theorem, identifies abnormal traffic. Finally, the traffic controlling agent, employing the prioritised load balancing algorithm, balances video packet loads at node queues, significantly improving load performance and reducing end-to-end delays during transmission in the network. The proposed method attains a higher end-to-end delay and a lesser execution time compared to existing techniques, respectively.
  Keywords: abnormal traffic; Bayesian theorem; load balancing; routing agent; traffic controlling agent; traffic monitoring agent; video packet.
  DOI: 10.1504/IJMC.2025.10065112