International Journal of Mobile Communications (38 papers in press)

Regular Issues

• Learning the usage intention of robo-advisors in fin-tech services: Implications for customer education  
  by Chieh-Peng Lin, Hui-Ting Chan 
  Abstract: Drawing on MOA framework, this study establishes a research model that explains the usage intention of robo-advisors. In the model, three predictors that consist of technology relative advantage, technology herding, and technology familiarity influence usage intention of robo-advisors directly and indirectly via the partial mediation of trust. At the same time, the effects of the three predictors on trust are hypothetically moderated by learning goal orientation and perceived performance risk respectively. Statistical analyses are provided using the data of working professionals from insurance industry in Taiwan. Based on its empirical findings, this study discusses important theoretical and practical implications.
  Keywords: consumer education; technology relative advantage; technology herding; learning goal orientation; perceived performance risk.
  DOI: 10.1504/IJMC.2024.10056373
   
  
• Factors Affecting the Intention to Continue to Visit a Virtual World Metaverse  
  by Kyunghwa Hwang, Ohbyung Kwon 
  Abstract: A metaverse is a virtual shared space connected to the real world, an alternate reality that enables economic activities, exchanges, and transactions as well as formation of relationships between user avatars and non-player characters (NPCs). Initial experiences of the metaverse were not very satisfactory; new virtual world metaverses may or may not survive as information services or platforms. The purpose of this empirical study is to identify the characteristics of a virtual world metaverse and their effects on intention to continue usage of the platform. Considering the metaverse as a new type of user experience and a powerful mode of communication, we examine the mediating role of these characteristics according to Pine and Gilmore’s (1998) experience economy theory, which enriches our understanding of the factors affecting the success of a metaverse. In addition, since social interaction is important in metaverses, we extend Pine and Gilmore’s experience economy model by including Schmitt’s (2011) relate experience for better understanding.
  Keywords: virtual world metaverse; relate experience; continuance intention; empirical study.
  DOI: 10.1504/IJMC.2024.10056595
   
  
• What drives mobile game stickiness and in-game purchase intention? based on the uses and gratifications theory  
  by Maomao Chi, Yunran Wang, Haiyan Ma, Min Zhou 
  Abstract: Despite the considerable growth potential predicted for mobile games, little research explored what motivates users to be sticky and make purchases in the mobile game context. Drawing on uses and gratifications theory (UGT), this study evaluates the influencing effects of players’ characteristics (i.e., individual gratification and individual situation) and the mobile game structure (i.e., presence and governance) on players’ mobile game behaviour (i.e., stickiness and purchase intention). Specifically, the model was extended with factors of the individual situation and governance. After surveying 439 samples, the research model was examined using the Partial least squares structural equation modelling (PLS-SEM) approach. The results indicate that stickiness is a crucial antecedent for users’ in-game purchase intention. The individual situation plays an essential role in influencing user gratification, and individual gratification is the most vital criterion affecting stickiness. Finally, except for incentives, presence, and integration positively affect stickiness. This study provides further insights into both mobile game design and governance strategies.
  Keywords: mobile games; uses and gratifications theory; UGT; stickiness; purchase intention.
  DOI: 10.1504/IJMC.2024.10057101
   
  
• The Impact of Perceived Value and Trust on Mobile Payment Reuse Intention: The Mediating Role of User Satisfaction
  by Jhong-Min Yang 
  Abstract: Although m-payment usage in Taiwan has expanded year after year, research on reuse intention appears to be limited. According to this study, perceived convenience, perceived benefit, and perceived mobility will continue to produce perceived value, affecting user satisfaction and eventually deciding to continue using. Online, 326 valid samples were obtained. According to the findings of the measurement model analysis and structural model analysis of structural equation modelling, user satisfaction has a full mediation impact between perceived value and intention to reuse, as well as between trust and intention to reuse MP. The comprehensive findings and academic and practical consequences are reported at the end of this work.
  Keywords: mobile payment; user satisfaction; perceived value; trust; social influence.
  DOI: 10.1504/IJMC.2025.10060676
   
  
• How to measure customers perceived service quality of smart restaurants?
  by Ching-Chan Cheng, MIng-Chun Tsai, Ya-Yuan Chang, Cheng-Ta Chen 
  Abstract: Smart restaurants are a new type of restaurant that can be applied to restaurant halls and kitchens through the use of the Internet of Things and communication technology, which can be used to reduce the service contact between service staff and customers during COVID-19. Effective evaluation of the service quality of various restaurants is a primary task for the restaurant industry, but previous restaurant service quality scales cannot fully measure the service quality of smart restaurants. Based on the above reasons, this study developed a smart restaurant service quality scale (SRSERV scale) through rigorous research procedures. The SRSERV scale had considerate service, responsiveness, fun and novelty, reliability, service efficacy, and empathy dimensions, with a total of 30 items. The implications of these dimensions were fully discussed in this study. The SRSERV scale could allow smart restaurant operators to accurately measure the service quality of smart restaurants to improve service quality.
  Keywords: smart restaurant; service quality; service quality scale.
  DOI: 10.1504/IJMC.2025.10060709
   
  
• When do people share different health rumors? An empirical study in the COVID-19 context in China
  by Xin Zhang, Peng Yu, Liang Ma 
  Abstract: One of the most important questions confronting managers is how to control different rumours. Although previous literature has studied the antecedents of users’ rumours sharing intention, little research has focused on how different rumour types (dread and wish rumour) affect sharing intention and its’ boundary conditions. To fill this research gap, this study conducted two empirical studies based on elaboration likelihood model (ELM) to explore how the way of processing rumours varies with rumour type. The results show that: 1) in dread rumour studies, central cues have a positive effect on sharing intention, while only source credibility in peripheral cues has a positive effect on sharing intention; 2) in wish rumour studies, peripheral cues have a positive effect on sharing intention, while only perceived utility in central cues has a positive effect on sharing intention; 3) enjoy in helping others positively moderate the relationship between rumour characteristics and sharing intention.
  Keywords: rumour sharing intention; credibility; perceived utility; perceived persuasiveness; enjoy in helping others; elaboration likelihood model; ELM; China.
  DOI: 10.1504/IJMC.2025.10060820
   
  
• Factors Influencing Users’ Rumor Spreading Intention During Public Health Emergencies: Based on Protection Motivation Theory
  by Peng Yu, Xin Zhang, Liang Ma 
  Abstract: With the development of social media and information technology, dealing with the infodemic in public health emergencies has become particularly important. Existing research on exploring the primary rumour-spreading motivation and process under the COVID-19 context is limited. This study aims to explore the factors influencing rumour spreading and reveals its mediation process and boundary condition. Based on protection motivation theory and using structural equation modelling analysing data from 423 users, the results showed that: 1) Issue involvement has a positive effect on both threat appraisal (perceived severity and perceived vulnerability) and coping appraisal (self-efficacy and response efficacy). However, the effect of issue involvement on response cost is not significant; 2) Perceived vulnerability and coping appraisal positively influence the intention to spread rumour by forming the attitude to spread rumour (protection motivation); 3) Tie strength with information receivers positively moderates the relationship between attitude and intention to spread rumours.
  Keywords: rumour spreading; protection motivation theory; issue involvement; intention to spread rumour.
  DOI: 10.1504/IJMC.2025.10060821
   
  
• Enhanced genetic-chaos based grasshopper optimization algorithm for efficient crash risk prediction using novel deep learning model
  by D. Deva Hema, K. Ashokkumar 
  Abstract: The development of the road transport advanced collision avoidance system, which aids in accident prevention, heavily relies on accident risk prediction. The prediction of crash risk before a collision has been made possible by a number of deep learning algorithms and hybrid data driven models. In the existing convolutional-neural-network-long-short-term-memory (CNN-LSTM) model, the hyper parameters are not optimised which affects the crash risk prediction system efficiency. Therefore to improve the collision risk prediction performance, enhanced genetic-chaos based grasshopper optimisation algorithm (EGCGOA) has been developed which optimises CNN-LSTM model’s hyper parameters. CNN and LSTM are employed for data extraction and prediction respectively. The performance of EGCGOA has been evaluated with test functions which prove the efficiency algorithm. The next generation simulation project (NGSIM) dataset was utilised to test the EGCGOA-CNN-LSTM, and it performs better than conventional techniques. The accuracy has increased up which is greater than the previous model, based on the results.
  Keywords: crash risk prediction; LSTM; feature extraction; reaction time; parameter optimisation.
  DOI: 10.1504/IJMC.2025.10061199
   
  
• The Discussion of Information Security Risk Control in Mobile Banking  
  by Shaio Yan Huang, An An Chiu, Ching-Wen Lin, Liao Chi Chuan 
  Abstract: The emergence of digital technology and the increasing prevalence of smartphones have promoted innovations in payment options available in finance and consumption markets. Banks providing mobile payment must ensure the information security. Inadequate security control leads to information leakage, which severely affects user rights and service providers’ reputations. This study uses control objectives for Information and Related Technologies 4.1 as the mobile payment security control framework to examine the emergent field of mobile payment. A literature review is performed to compile studies on the safety risk, regulations, and operations of mobile payments. In addition, the Delphi questionnaire is distributed among experts to determine the practical perspectives, supplement research gaps in the literature, and revise the prototype framework. According to the experts’ opinions, 59 control objectives from the four domains of COBIT 4.1 are selected. The plan and organise, acquire and implement, deliver and support, and monitor and evaluate four domains comprised 2, 5, 10, and 2 control objectives that had mean importance scores of > 4.50. Thus, these are considered the most important objectives by the experts, respectively. The results of this study can serve as a reference for banks to construct secure frameworks in mobile payment services.
  Keywords: mobile payment; information security; information technology risk management.
  DOI: 10.1504/IJMC.2024.10061223
   
  
• Energy-Efficient Coverage in Wireless Sensor Networks Based On Stacked Contractive Auto Encoder with Manta Ray Foraging Optimization Algorithm  
  by S. Muthukumarasamy, Tapas Bapu B. R 
  Abstract: In this manuscript, energy-efficient coverage in WSN based on stacked contractive auto encoder with Manta Ray Foraging optimisation algorithm is proposed. Initially, IF-RFKM clustering approach is proposed for dividing the ROI as several clusters and defines the cluster head. Then SCAE determines the sensing radius for best coverage and move sensor nodes accordingly. Finally, MRFO algorithm is proposed for increasing the network lifespan by decreasing energy consumption in the sensor nodes. The proposed EECO-SCAE-MRFO-WSN method is implemented in MATLAB, its effectiveness is validated under performance metrics, such as coverage rate, covering percentage, delay, throughput, computation time, network lifetime, residual energy and energy consumption. The proposed EECO-SCAE-MRFO-WSN method has attained 36.8%, 34.75%, 21.86% higher coverage rate, 34.6%, 30.9%, 26.87% lower delay, 7.96%, 12.65%, 9.65% higher network lifetime, and19.87%,16.8%,10.9% lower energy consumption than the existing methods, like energy-efficient coverage enhancement for 3-D WSN depending on vampire bat optimiser (EECO-VBO-WSN).
  Keywords: Manta Ray foraging optimisation; region of interest; stacked contractive auto encoder; SCAE; wireless sensor network.
  DOI: 10.1504/IJMC.2025.10061758
   
  
• To Reveal or Conceal? Sponsorship Disclosure in Health Apps and its Impacts on Sponsor Motive Attributions, Credibility, and Download Intentions  
  by Eunsin Joo 
  Abstract: Amid the growing corporate sponsorship for health and wellness apps, this study employed attribution theory and sponsorship literature to assess how users perceive and evaluate sponsors, their intentions, and the apps themselves. An online experiment examined the influence of sponsor identification within apps on users’ attitudes toward the sponsor, app credibility, and app download intentions. It further explored whether download intentions were sequentially influenced by perceived sponsor motives (either altruistic or self-serving), sponsor attitude and app credibility. Results indicated that when sponsorship was disclosed at any level, users perceived sponsors more as having self-serving motives. However, perceptions of sponsors’ altruistic motives varied based on the degree of disclosure. Apps and sponsors were positively evaluated when associated with altruistic motives of sponsors, whereas negative evaluations arose from perceptions of self-serving motives. Both theoretical and managerial implications for mobile marketing communications and health app development are discussed.
  Keywords: sponsorship disclosure; motive attributions; altruistic motives; self-serving motives; health app; app evaluations; cause-related marketing; mobile marketing communication.
  DOI: 10.1504/IJMC.2025.10062241
   
  
• A new energy-aware resources scheduling method for mobile Internet of thing using a hybrid optimization algorithm  
  by Jiuhong Yu, Kang Hou, Haiyang Zhang, Branislav Kostic, Ming Yang, Habibeh Nazif 
  Abstract: This paper suggests a hybrid optimisation technique for scheduling mobile internet of things (IoT) resources that integrates the grasshopper optimisation algorithm with the crow search algorithm to address these issues. The GOCSA hybrid algorithm is designed to effectively increase the benefits of the two methods and produce a standard execution. MATLAB is used to explore the simulation. Other algorithms are contrasted with the suggested approach. The model simulation shows that the suggested technique applying the proposed method on MIoT greatly improves energy consumption and decreases delay time in comparison to conventional methods.
  Keywords: resource scheduling; mobile; internet of things; IoT; energy; optimisation; algorithm; mobile IoT; MIoT.
  DOI: 10.1504/IJMC.2025.10062645
   
  
• A new fuzzy-based nature-inspired routing method for mobile internet of things (MIoT)  
  by Chenchen Gao, Amin Salih Mohammed 
  Abstract: In the ever-evolving landscape of the IoT, the need for efficient and reliable routing methods is paramount. With the surge in mobile IoT devices, traditional routing algorithms have shown limitations in adapting to dynamic and unpredictable network conditions. Designed for static networks, these algorithms struggle to cope with the dynamic nature of mobile IoT, where devices are constantly on the move, leading to frequent network topology changes. To address these shortcomings, there is a pressing need for innovative routing methods capable of handling the unique challenges posed by mobile IoT. To address these challenges, this paper proposes a fuzzy-based nature-inspired routing method. One of the best algorithms that can be combined with fuzzy logic for routing in mobile IoT is the flower pollination optimisation (FPO) algorithm. Rigorous testing and simulations reveal that the proposed approach outperforms current methods across various metrics, including energy consumption, network lifetime, end-to-end delay, and packet drop ratio.
  Keywords: IoT; mobile; routing; energy; FPO algorithm; fuzzy logic.
  DOI: 10.1504/IJMC.2025.10063145
   
  
• 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
   
  
• Exploring the influence of new media and mobile technologies at tertiary education in a developing country: a case study of teacher-student interactions in Northern Cyprus during the COVID-19 pandemic  
  by Ahmet Iyici, Ülfet Kutoglu Kuruç 
  Abstract: COVID-19 pandemic and technological developments have changed the attribute and form of human communication. The main purpose of this quantitative research was to delve into the influence of digital technologies over communication and teacher-student interactions amid the pandemic at a major university in Northern Cyprus. The findings indicated that the use of digital technologies cultivated teacher-student interactions in or out of school settings, transformed the roles of teachers into facilitators and mentors, and increased teachers’ accessibility. The new phase also assisted students to comprehend the topics discussed in class easily. Furthermore, technological innovations created new sources of information for both parties to enhance course contents, boost students’ self-esteem, allow education out of the school settings and escalate the effectiveness of education by promoting self-cultivation. Mobile technologies removed communication barriers between educators and learners by allowing them to reinforce their interactions virtually, yet, they cause technology addiction and decline face-to-face communication.
  Keywords: adult learning; distance education; online learning; learning communities; media in education; mobile communications.
  DOI: 10.1504/IJMC.2025.10063255
   
  
• Blockchain based packet parser architecture for securing cyber-infrastructure and internet of things networks with auto-metric graph neural network  
  by R. Deepa, S. Subasree, N.K. Sakthivel, Amit Kumar Tyagi 
  Abstract: Block-chain technology, also known as cryptographic ledger technology, has recently been used to transport transactions and information securely through networks, primarily to increase security. AGNN long Block-chain based Packet Parser architecture is proposed for enabling cyber security at IoT devices. IoT architecture is processed on basis of 3 layers that are named as cloud layer, edge layer and device layer. Every node in edge layer is configured by proposed Auto-metric Graph Neural Network with BC-PP for analyzing cyber-attacks. Proposed method is decentralized between edge nodes at edge layer of networks. Proposed technique will be executed on working platform of python device. Performance of proposed algorithm is evaluated under performance metrics, accuracy, detection time, attack probability, packet drop ratio, packet delivery ratio, computational time, delay. Here proposed method provides 8.76%, 24.6%, 21.46% high accuracy, 69.53%, 45.5%, 66.7% lower detection time, 4.4%, 8.2%, 10% lower computation time comparing to existing methods respectively.
  Keywords: Internet of things network; Cyber security; Block chain Based Packet Parser Architecture; Auto-metric Graph Neural Network.
  DOI: 10.1504/IJMC.2025.10063283
   
  
• Knowledge sharing platform users' switching intention from the perspective of the push-pull-mooring framework  
  by Rui Wang, Dingyu Ye, Zhengzhi Jia, Dongmin Cho 
  Abstract: This study investigates user switching intentions on knowledge sharing platforms (KSPs) in China using an extended push-pull-mooring (PPM) framework. It aims to identify factors influencing users’ decisions to retain or switch KSPs, providing insights for user retention strategies. A structural equation model was employed, using 330 valid responses from an online survey. The findings reveal that push effects (dissatisfaction, privacy concern, perceived overload), pull effects (attractiveness of alternatives, information need, social need, and entertainment need), and mooring effects (switching cost, media attachment) significantly influence KSP users’ switching intentions. Mooring effects moderate the relationship between push effects and switching intention, but not between pull effects and switching intention. Personal innovativeness positively impacts switching intention. These findings help KSP providers understand users’ switching intentions and formulate relevant theories, services, and regulations.
  Keywords: knowledge sharing platform; push-pull-mooring model; switching intention; personal innovativeness; PLS-SEM.
  DOI: 10.1504/IJMC.2025.10063767
   
  
• 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
   
  
• Predictors of Instagram use for user productivity: self-control, notifications, and checking habits  
  by Cemil Akkas, 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 study of social networking site characteristics on consumer trust towards positive WOM and purchase intention  
  by Lu-Wen Liao, Chun-Tsen Yeh, Pei-Chun Fang, Wan-Ting Sun 
  Abstract: Social commerce is the process of selling products and services directly through social media such as social networking sites (SNSs). In recent years, social commerce has experienced a significant expansion, especially in cross-border e-commerce and during the COVID-19 pandemic. Important characteristics of SNSs include intimacy, familiarity, expertise, and interactivity. This study examined the influence of these four characteristics on consumer trust as well as the influence of trust in turn on purchase intention and positive word-of-mouth (WOM). This investigation was based on the stimulus-organism-response framework in which shopping experience was included as a moderator. We confirmed positive correlations between familiarity, expertise, and interactivity with consumer trust as well as positive correlations between trust with purchase intention and positive WOM. There was no significant relationship between intimacy and consumer trust. We also found that shopping experience played a crucial moderating role in the relationships between familiarity, expertise, and interactivity with trust.
  Keywords: social networking site; SNS; S-O-R model; social networking site characteristics; purchase intention; shopping experience.
  DOI: 10.1504/IJMC.2025.10064114
   
  
• Border Collie optimisation algorithm for Twitter sentiment classification based on enhanced Elman spike neural network  
  by D. Divya, Annamalai Pandiaraj, Chinnaraj Govindasamy 
  Abstract: The sentiment classification field has been increasingly interesting for academic and industrial study due to the widespread development of online reviews. Many sentiment classification approaches are developed to carry out sentiment analysis. Nevertheless, the information retrieval is not carried out precisely, inefficient, and does not converge as quickly. To overwhelm these issues, an enhanced Elman spike neural network optimised with border collie optimisation algorithm for Twitter sentiment classification (EESNN-BCOA-TSC) is proposed in this paper for classifying the Twitter data. Here, the Twitter data is amassed from Twitter sentiment dataset. Then the input Twitter data is pre-processing. These pre-processed data is fed to the fast discrete curvelet transform with wrapping algorithm (FDCT-WA) for extracting the features. These extracting features are fed to EESNN-BCOA that categorises the Twitter data as positive, negative or neutral. The proposed EESNN-BCOA-TSC technique is activated in Python. From the analysis, it attains better accuracy of 99.7%, sensitivity of 98.8%, and F1-score 98.9%.
  Keywords: social media; Twitter; enhanced Elman spike neural network; Border Collie optimisation algorithm; Twitter sentiment dataset.
  DOI: 10.1504/IJMC.2025.10064219
   
  
• Understanding open source community user contribution from the S-O-R perspective  
  by Tao Zhou, Qingqing Yuan 
  Abstract: User contribution creates the content of open source communities and it is crucial to the sustainable development of the communities. However, users often lack the motivation and intention to contribute their knowledge. Based on the S-O-R model, this research examined open-source community user contribution by integrating both social and technological perspectives. A mixed method of SEM and fsQCA is used in this research. The results found that social factors (social interaction and social support) and technological factors (system quality) significantly affect the sense of virtual community, which further affects user contribution intention. The fsQCA results revealed that in the three paths triggering user contribution intention, social interaction and a sense of virtual community appear as the common core conditions. The results suggest that open source communities need to encourage users’ social interactions and develop a supportive climate to enhance the sense of virtual community and facilitate their contribution.
  Keywords: open-source community; S-O-R; contribution; sense of virtual community; SOVC; social interaction.
  DOI: 10.1504/IJMC.2025.10064407
   
  
• 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
   
  
• Bayesian multi agent based load balance for control video traffic in Wireless Mesh Network (WMN)  
  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
   
  
• Impacts of social media usage on consumers’ engagement in social commerce: the roles of trust and cultural distance  
  by Shangui Hu, Tao Huang, Feifei Hu, Lingyu Hu 
  Abstract: The prevalence of social media transforms E-business into social commerce and facilitates consumers’ engagement in cross-cultural social commerce. However, social commerce operations encounter unpredictable challenges in cross-cultural business environment. It is vital to further investigate how contextual elements affect consumers’ trust and their engagement when they are exposed to the complexity of cross-cultural business environment. The stimuli-organism-response paradigm is employed to examine how the two dimensions of social media usage influence consumers’ engagement in cross-cultural social commerce. The current study surveyed 2,058 samples from 135 countries, and the regression analysis results illustrate the mechanism whereby informational and socializing usage of social media positively influences consumers’ engagement in social commerce through consumers’ trust toward social commerce websites. Additionally, the associations between two aspects of social media usage and consumers’ trust towards social commerce are negatively moderated by cultural distance. Both theoretical and practical implications are also discussed.
  Keywords: social commerce; trust; engagement; cultural distance; social media usage; SMU.
  DOI: 10.1504/IJMC.2024.10065436
   
  
• FPGA design and implementation of an efficient FIR adaptive filter by adopting CSD based approximate distributed arithmetic architecture  
  by C.S. Vinitha 
  Abstract: An effective approximate distributed arithmetic (DA) architecture is proposed for adaptive finite impulse response (FIR) filters. The approximate DA architecture is combined with canonical signed digit (CSD) number representation, which is used for reducing the partial products. Additionally, the partial products are added using the Wallace tree adder, which further helps to increase the speed and reduce the filter complexity. The proposed design is encoded in VHDL that are simulated, synthesized and implemented in MATLAB and Xilinx field-programmable gate arrays (FPGA) unit to evaluate the hardware complexity of the filter. The proposed adaptive filter's hardware efficiency in terms of number of slices utilized is 40% less than booth algorithm, and 62% less than basic DA-based adaptive filter. Also, the total power consumption is 20%, 28% and 30% less than booth algorithm, NLMS and DA based filter respectively. This filter operates at higher frequency compared to its previous filter designs.
  Keywords: LMS adaptive filter; approximate computing; DA computation; CSD representation; Wallace tree accumulation; FIR filter.
  DOI: 10.1504/IJMC.2024.10054843
   
  
• Ambidexterity capacity, absorptive capacity, and business performance of Taiwan's communication information companies  
  by Wei-Chuan Wang 
  Abstract: Based on the view of absorptive capacity, this study constructs a dynamic theoretical framework of resource investment, ambidexterity capacity, and business performance. The data of Taiwan's listed and OTC communication information companies are used to examine the correlation between the ambidexterity capacity and business performance, as well as its moderating effect. The results show that R&D expenses are negatively related to business performance. Moreover, the correlation between R&D capacities and business performance - influenced by the strong absorptive capacities of marketing investment and strong application capacities - turns from significantly negative to significantly positive adaptive. The theoretical contribution of this study is the discussion of the influence of resource investment on the constitution of ambidexterity capacity and the moderating role of ambidexterity capacity between resource investment and business performance; in the practical aspect, this study provides an operational analysis framework for the industry to test the effectiveness of resource allocation.
  Keywords: ambidexterity capacity; absorptive capacity; business performance.
  DOI: 10.1504/IJMC.2024.10055978
   
  
• Optimal power and resource allocation for 5G oriented system using a hybridised whale and hosted cuckoo optimisation algorithm  
  by Deepa Palani, Merline Arulraj 
  Abstract: The fifth generation (5G) systems have greater requirements for data speeds, minimum latency, and low connection density. In hybrid MC-NOMA system, the optimal resource allocation is more challenging to achieve the commitment of energy efficiency (EE) and spectral efficiency (SE) with minimal user rate requirement. Therefore, in this manuscript, the optimal power and resource allocation for 5G oriented system using a hybrid whale and hosted cuckoo (Hyb-WHC) optimisation algorithm is proposed for solving EE resource allocation problems under MC-NOMA system. Here, the hybridised whale and hosted cuckoo (Hyb-WHC) optimisation algorithm distributes power to every network. Then the distributed power of every channel is allocated to the multiplexed users depends on their individual channel gains. The proposed approach is activated in MATLAB and its performance is compared with existing approaches, such as optimal resource allocation using lion algorithm with probabilistic mating (MC-NOMA-LAPM) and traditional fractional power allocation method (MC-NOMA-FTPA).
  Keywords: Hyb-WHC optimisation; hybrid multi-carrier non-orthogonal multiple accesses; user grouping; power distribution; choice of multiple accesses; sum rate.
  DOI: 10.1504/IJMC.2024.10055352
   
  
• Factors affecting the online social shopping intention of adolescents in Taiwan - an extension of technology acceptance model  
  by Li-Min Chuang, Hsiu-Hao Liu, Ming-Shien Kuo 
  Abstract: Previous TAM studies regarding online shopping mainly focused on website quality, brand reputation or trust, and have not applied this model to social media. Therefore, this study is expected to add different constructs into the research model. As adolescents are one of the main groups using community websites and social media, this study explores adolescents' online social shopping intention with an extension of the technology acceptance model. The 385 valid questionnaires was analysed and verified by structural equation modelling, and the results show that social presence, trust, and perceived enjoyment can have a positive impact on attitude through perceived usefulness and perceived ease of use, and attitude can have a positive impact on intention. The results of this study extend the explanatory power of TAM regarding the online social shopping of adolescents.
  Keywords: online social shopping; technology acceptance model; TAM; social presence; trust; perceived enjoyment; Taiwan.
  DOI: 10.1504/IJMC.2024.10055353
   
  
• Mobile food ordering apps adoption: an empirical study based on the transactional theory of stress and coping  
  by María Eugenia Rodríguez-López, Francisco Liébana-Cabanillas, Elena Higueras-Castillo, Luis Doña-Toledo 
  Abstract: Mobile food ordering apps (MFOAs) are defined as mobile applications that smartphone users can download and use to access restaurants, view a menu, place orders, and pay. Given its untact nature, the interest of researchers is growing in the wake of the pandemic, but the effects of the concern derived from it and the stress caused by this environmental variable have not been studied. The aim of this study is the pioneering application of the transactional theory of stress and coping in the use of MFOA's that reflects the concerns over customer health and the psychological processes behind customer health management. The results of a structural equation modelling analysis of a sample of 247 Spanish individuals indicated that health concerns affected the appraisal of MFOA's as an opportunity for well-being. Intentions towards their use were mainly determined by the coping strategies of the individuals, based on the solution to the problem and to a lesser extent on prior use of paid apps. Interesting implications at both a public and a private level are drawn from the results.
  Keywords: consumer psychology; COVID-19; mobile food ordering apps; MFOAs; intention to use; appraisal; coping; restaurants.
  DOI: 10.1504/IJMC.2024.10061147
   
  
• The influence of mobile app design on emotions leads to purchase intention for risk avoidance cultures  
  by C.M. Nadeem Faisal, Simra Shahid, Javier De Andrés, Martin Gonzalez-Rodriguez, Daniel Fernandez-Lanvin 
  Abstract: In the current competitive environment, retailers should focus more on customers' experiences and perceptions while designing interactive interfaces to evoke positive emotions. Improving user experiences by refining design strategies is considered a successful business strategy. This is because customers' perceptions and related experiences influence the utilisation behaviour and purchase intention. Therefore, this study intends to explore the effect of design characteristics on emotions leading to purchase intention. An experimental prototype of an online ticket booking is developed to collect the data for validation of the intended objective. The collected data is analysed using partial-least-squares, a structural equation modelling technique. The results provide partial support for the proposed hypotheses. Accordingly, animation, colour, and transition are observed to be associated with positive emotions, while font and aesthetic graphics are determined as strong indicators of negative emotions. However, hierarchy and control were more crucial for positive (and negative) emotions. Lastly, positive and negative emotions contribute to changing the purchase intention.
  Keywords: e-commerce; emotions; navigation design; usability; visual design; purchase intention.
  DOI: 10.1504/IJMC.2024.10055718
   
  
• Examination of the antecedents and consequences of consumers' attitudes towards mobile advertising  
  by Sinem Sargin, Leyla Leblebici Kocer 
  Abstract: Mobile advertising is a form of advertising that has evolved in parallel with advances in digital technology. This study aims to investigate the causes and effects of consumer attitudes regarding mobile advertising. An online survey method was applied on 431 people in Turkey, who were chosen by the convenience sampling method. Structural equation modelling was used to analyse the data. The study's findings reveal that affinity for technology impacts both attitudinal and action digital readiness. Furthermore, whereas digital readiness affects perceived risk, it does not affect perceived utility. Additionally, the results show that action digital readiness affects perceived utility but not perceived risk. Both perceived utility and perceived risk, on the other hand, have a significant impact on attitudes towards mobile advertising. Attitude towards mobile advertisings strongly impacts entertainment and purchase intention for mobile advertisings; additionally, entertainment has a significant impact on the purchase intention towards mobile advertising.
  Keywords: affinity for technology; digital readiness; perceived utility; perceived risk; attitude towards mobile advertising; entertainment; purchase intention towards mobile advertising.
  DOI: 10.1504/IJMC.2024.10056285
   
  
• Factors affecting consumers' reuse of online food delivery services during the coronavirus-19 pandemic  
  by Hung-Chou Lin, Edward Shih-Tse Wang, Yu-Ting Liao 
  Abstract: The global spread of coronavirus (COVID)-19 has affected numerous service industries because of social distancing requirements. In this study, we developed a model integrating the health belief model and protection motivation theory to understand the facilitators and limiting factors that affect people's reuse of online food delivery services (OFDSs). A total of 403 OFDS consumers volunteered to participate in this study. Structural equation modelling was applied to analyse a conceptual model. The results revealed that perceived severity of COVID-19 and perceived vulnerability to contracting COVID-19 positively affected perceived threat of dining out, which then affected OFDS reuse. Perceived response efficacy, perceived response cost, and perceived self-efficacy mediated the influences of the perceived general benefits of and general barriers to OFDS reuse. Both the theoretical and practical implications of this study can support food service marketers in managing service situations requiring social distancing.
  Keywords: health belief model; HBM; protection motivation theory; PMT; online food delivery services; OFDSs.
  DOI: 10.1504/IJMC.2024.10057884
   
  
• Changes in consumers' mobile payment behaviour during the COVID-19 pandemic: a stimulus-organism-response model perspective  
  by Umut Ünal, Mertcan Taşçıoğlu, Dursun Yener 
  Abstract: Mobile payment (m-payment) emerged as an alternative payment method, especially after smartphones' rapid development and spread in the last decade. The convenience, efficiency, and ubiquity it provides made m-payment preferable over traditional payment methods. However, the COVID-19 pandemic has highlighted the importance of m-payment's another feature: its contact-free nature. Due to the pandemic, people want to avoid contact with others as much as possible. Consequently, consumers associate m-payment with certain benefits because it provides a shopping experience with minimal or no contact. The purpose of this paper is to analyse how consumers' m-payment intentions during the pandemic are affected by these perceived benefits. The factors affecting these benefits are also examined. The research reveals insightful results indicating that consumers' perceived hedonic, utilitarian, and relative benefits are positively related to their intention to use m-payment while perceived novelty, perceived compatibility, performance expectancy, and social influence affect the perception of these benefits.
  Keywords: mobile payment; m-payment; stimulus-organism-response; S-O-R; COVID-19; hedonic benefit; utilitarian benefit; relative benefit.
  DOI: 10.1504/IJMC.2024.10055717
   
  
• Exploring users' behavioural responses to social comparison on social media: the mediating roles of envy and fatigue  
  by Bao Dai, Lingling Yu, Ying Chen 
  Abstract: Social comparison on social media has become a pervasive phenomenon. Prior studies mainly examined the effects of social comparison on users' cognitive and affective responses. The present study aims to uncover the influencing mechanism of social comparison on social media on users' behavioural responses. Based on the stressor-strain-outcome (S-S-O) model, this study proposes a research model to investigate the effects of social media users' social comparison on their behavioural responses (i.e., discontinuance and information avoidance) through the mediating roles of negative emotions (i.e., envy and fatigue). The model is tested using 353 valid data from WeChat users in China. Results show that social comparison on social media is a significant driver of envy and fatigue, and the impact of social comparison on envy is greater than that on fatigue. In addition, envy and fatigue have strong effects on social media users' discontinuance and information avoidance. This study theoretically and empirically explains the negative consequences of social comparison, advancing our understanding of the dark side of social media use and expanding the relevant research.
  Keywords: social media; social comparison; envy; fatigue; information avoidance; discontinuance; stressor-strain-outcome model.
  DOI: 10.1504/IJMC.2024.10056288