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Journal articles on the topic 'Mobile services'

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Published: 4 June 2021
Last updated: 25 May 2024

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1

Niida, Sumaru, Satoshi Uemura, and Hajime Nakamura. "Mobile Services." IEEE Vehicular Technology Magazine 5, no. 3 (September 2010): 61–67. http://dx.doi.org/10.1109/mvt.2010.937850.

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2

Siau, Keng, and Zixing Shen. "Mobile communications and mobile services." International Journal of Mobile Communications 1, no. 1/2 (2003): 3. http://dx.doi.org/10.1504/ijmc.2003.002457.

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3

Johansson, Dan, and Karl Andersson. "Mobile e-Services." International Journal of E-Services and Mobile Applications 7, no. 2 (April 2015): 1–24. http://dx.doi.org/10.4018/ijesma.2015040101.

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E-services are services delivered over the Internet. Such services have different properties and dimensions, e.g. targeting different sectors, being accessible through different channels, or intended for frequent or infrequent use. Throughout this article the authors address e-services from a mobility perspective. They do this by 1) positioning mobile e-services within the research field; 2) reviewing related work on mobile e-services; and 3) presenting and examining existing challenges (both difficulties and opportunities) when combining mobility and e-services. They see mobile e-services as the next generation of internet-based services and discuss important focus areas and future directions, giving extra notion to challenges and opportunities in the areas of acceptance and adoption, availability anytime and anywhere, and co-operation. In turn, these areas potentially set the scene for enhanced e-participation.
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4

Troshani, Indrit, and Sally Rao Hill. "Regulating Mobile Services." International Journal of E-Business Research 7, no. 1 (January 2011): 52–70. http://dx.doi.org/10.4018/jebr.2011010104.

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While the development of mobile services is experiencing a spectacular growth in many countries worldwide, existing regulatory regimes are ill equipped for dealing with them. In this paper, the authors use qualitative evidence to investigate the manner in which institutional regulatory factors, including legal, societal, and economic factors, can impact mobile services in the Australian mobile telecommunications industry. These factors are important as they shape both the nature of emerging mobile services and their diffusion trajectory. The investigation culminates with an innovative institutional regulatory framework that includes factors such as consumer and intellectual property protection, market and resources access. The authors argue that co-regulation, a mixture of direct monitoring and intervention of regulators through legislation and complete industry self-regulation, is an effective approach for regulating the mobile telecommunications industry. Given the complex and dynamic nature of this industry, co-regulation can minimize monitoring costs and enhance compliance.
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5

Rivera, Manuel, Robertico Croes, and YunYing Zhong. "Developing mobile services." International Journal of Contemporary Hospitality Management 28, no. 12 (December 12, 2016): 2721–47. http://dx.doi.org/10.1108/ijchm-02-2015-0052.

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Purpose This paper aims to examine and identify important attributes for mobile applications (apps) that might dictate tourist preferences for the apps on a small island destination. Guided by the Task Technology Fit (TTF) theory, the study considers the tasks performed, technology characteristics and individuals’ characteristics in determining the mobile apps attribute set. Design/methodology/approach This study uses a conjoint methodology within a case study approach framework. The conjoint analysis allows for assessing preferences from different consumers regarding the objective characteristics of products or services that facilitate the optimal design of product development. Optimal product development is a challenge for destinations, as they strive to achieve and sustain optimal market positions. Mobile apps may empower destinations in this endeavor. The case study approach imparts a context-dependent knowledge that facilitates a more nuanced understanding of consumer preference of use. Findings The results of the conjoint analysis suggest a strategic mapping of the most important attributes including type of content information, coupons and location awareness in defining apps product development. Within each attribute, the study also identifies the significant characteristics of a mobile application that are preferred by tourists. This ranking exists irrespective of familiarity with the destination (first-time and repeat visitors). Research limitations/implications The implication is that revealed preferences anchored in conjoint analysis provide a powerful approach to optimize product development in a small island destination. From a practical perspective, the findings suggest that the developments of a mobile app for a destination must concentrate on fostering spending and consider the app as a new marketing channel. From a theoretical point of view, the current study highlights the usefulness of using the conjoint analysis and the TTF theory as an overarching framework in mapping a multi-attribute decision-making space that influences tourist judgment and preference of use. The conjoint method applied in the study enables researchers to clearly identify a combination of various mobile app attributes that are most influential on tourists’ choice and preference of use. The guiding framework, TTF theory, allows the conjoint product designs to go beyond the technology characteristics to include tasks performed by tourists and their individual characteristics. Originality/value This study is the first to apply a conjoint analysis within the TTF theoretical framework in the context of a small island destination when assessing tourists’ use preferences toward mobile applications, while at the same time investigating whether any differences exist between first-time and repeat visitors. The study demonstrates that complementing the nature of the task (traveling) with context-specific interface and interactive features is an important area of inquiry that can benefit from adopting conjoint analysis.
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6

Mallat, Niina, Matti Rossi, and Virpi Kristiina Tuunainen. "Mobile banking services." Communications of the ACM 47, no. 5 (May 1, 2004): 42. http://dx.doi.org/10.1145/986213.986236.

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7

Nisha, Nabila, Mehree Iqbal, Afrin Rifat, and Sherina Idrish. "Mobile Health Services." International Journal of Asian Business and Information Management 6, no. 1 (January 2015): 1–17. http://dx.doi.org/10.4018/ijabim.2015010101.

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Today, information and communication technology (ICTs) are influencing health system development across many developing countries, particularly through the application of mobile communications. As such, there has been an initiation of a new paradigm of mobile health services which has made healthcare delivery more accessible, affordable and effective. However, such service delivery platform has been mainly targeted towards the rural population, so there is growing concerns about its acceptance and future use intentions in the urban areas. The aim of this paper is to examine and critically assess the underlying factors that can influence future use intentions of mHealth services in the context of Bangladesh. The conceptual model of the study identifies that information quality, facilitating conditions, trust and effort expectancy plays an important role in capturing users' overall perceptions of mobile health services. Finally, the study highlights the managerial implications, future research directions and limitations from the perspective of Bangladesh.
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8

Abu Tair, Hassan Y. A., and Emad A. Abu-Shanab. "Mobile Government Services." International Journal of Technology Diffusion 5, no. 1 (January 2014): 17–25. http://dx.doi.org/10.4018/ijtd.2014010102.

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The vast emergence of Information and Communication Technologies (ICTs) lead governments to adopt the use of ICT to deliver services to their citizens, businesses, and government constituents. These services can be delivered via the Internet using web technology (e-government) in an interactive way like any other e-service. But with the advent and wide use of mobile technologies, governments transformed their mechanism in delivering service to utilize more the capabilities of mobile phones through the better employment of mobile government (m-government). M-government utilizes mobile technologies to better deliver services to citizens, but this enforces some challenges to both governments and the recipients of services. In this paper the authors addressed the challenges and opportunities of m-governments in terms of mobile services (m-services).
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9

Kurian, N., V. V. Gupta, A. M. Thomas, J. M. Cherian, and K. G. Varghese. "Mobile dental services." British Dental Journal 234, no. 1 (January 13, 2023): 13. http://dx.doi.org/10.1038/s41415-023-5446-0.

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10

Farley, P., and M. Capp. "Mobile Web Services." BT Technology Journal 23, no. 3 (July 2005): 202–13. http://dx.doi.org/10.1007/s10550-005-0042-1.

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11

Elgazzar, Khalid, Patrick Martin, and Hossam S. Hassanein. "Personal mobile services." Service Oriented Computing and Applications 10, no. 1 (September 17, 2014): 55–70. http://dx.doi.org/10.1007/s11761-014-0164-8.

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12

M. Anwarul Islam, K., Zulfiqar Hasan, Tawfiq Taleb Tawfiq, Abul Bashar Bhuiyan, and Md Faisal-E-Alam. "Bank becomes cashless: Determinants of acceptance of mobile banking (fintech) services among banking service users." Banks and Bank Systems 19, no. 2 (April 5, 2024): 30–39. http://dx.doi.org/10.21511/bbs.19(2).2024.03.

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Fintech services such as mobile banking are gaining significant acceptance among the citizens in Bangladesh. Therefore, this study aims to explore the determinants that influence banking service users’ decisions to accept and use fintech services such as mobile banking in an emerging market, specifically in Bangladesh. A questionnaire was developed and distributed to individuals actively using banking services in Bangladesh. A total of 400 questionnaires were distributed to individuals who have active bank accounts. This study obtained a total of 315 valid responses that were deemed suitable for inclusion in the data analysis, with a response rate of 78.75%. Furthermore, a five-point Likert scale was utilized to evaluate the responses to the item-based questionnaire. To evaluate the hypotheses, a significance level of 5% was applied, and the data pertaining to the subject matter and purpose of this study were examined using the SPSS v.29. The results of the study display that the acceptance of mobile banking (fintech) services is pronouncedly shaped by perceived trust, privacy, and security but not by perceived risk. Importantly, perceived security (β value = 0.302) has the greatest impact on mobile banking acceptance among customers compared to other variables. This study contributes to the literature by investigating the propensity of using Fintech services within the context of mobile banking.
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Baousis, Vasileios, Vassili Spiliopoulos, Elias Zavitsanos, Stathes Hadjiefthymiades, and Lazaros Merakos. "Semantic Web Services and Mobile Agents Integration for Efficient Mobile Services." International Journal on Semantic Web and Information Systems 4, no. 1 (January 2008): 1–19. http://dx.doi.org/10.4018/jswis.2008010101.

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14

Korgaonkar, Pradeep, Maria Petrescu, and Eric Karson. "Hispanic-Americans, Mobile Advertising and Mobile Services." Journal of Promotion Management 21, no. 1 (January 2, 2015): 107–25. http://dx.doi.org/10.1080/10496491.2014.971211.

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15

Shashikantbhai Bhoj, Hansaben. "Mobile based library services." IP Indian Journal of Library Science and Information Technology 5, no. 2 (February 15, 2021): 64. http://dx.doi.org/10.18231/j.ijlsit.2020.013.

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16

Baek, Heon. "Mobile Location-Based Services." International Journal of Mobile Computing and Multimedia Communications 13, no. 1 (January 2022): 1–17. http://dx.doi.org/10.4018/ijmcmc.297967.

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This study investigated three factors of self-determination theory (SDT) that influence the intrinsic and external motivation of mobile location-based services (M-LBS). This study was conducted on M-LBS users through an online survey, and a total of 308 response data were used for analysis The results showed that the three factors of SDT significantly influenced the extrinsic motivation of M-LBS and only perceived relatedness significantly affected intrinsic motivation. Intrinsic and external motivation had a great influence on attitudes and attitudes. Recognized competency influenced perceived usefulness more than pull type. A positive attitude influenced the intention to continue pulling rather than pushing. According to service type (i.e., push and pull), users are more likely to continue to use the service when users are satisfied with the service requested by M-LBS than when the operator provides the service on its own, so they need to understand how M-LBS affects perceived usefulness and intrinsic motivation.
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17

Thanh, Do Van. "Future Open Mobile Services." African Journal of Information & Communication Technology 1, no. 1 (September 26, 2005): 44. http://dx.doi.org/10.5130/ajict.v1i1.30.

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The major barriers for the success of mobile data services are the lack of comprehensible mobile service architectures, their confusing business models and the complexity combined with the inconsistency of the technology enablers. This paper attempts to present a more structured and comprehensive analysis of the current mobile service architectures and their technology enablers. The paper starts with a thorough study of the evolution of mobile services and their business models, and a collection of expectations of the different actors, including the end-user. Next, starting from the original mobile services architecture and environment, an attempt to place the different technology enablers in relation to each other and in relation to their position in the mobile system, will be carried out. Each technology enabler together with their contribution in the enhancement of mobile services are then summarised in a complete and comprehensive way. The paper concludes with a recapitulation of the achievement of the state-of-the-art technology enablers and an identification of future improvements.
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18

Shanko, Genet, Solomon Negash, and Tridib Bandyopadhyay. "Mobile healthcare services adoption." International Journal of Networking and Virtual Organisations 16, no. 2 (2016): 143. http://dx.doi.org/10.1504/ijnvo.2016.076485.

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19

Blake, M. Brian. "Next-Generation Mobile Services." IEEE Internet Computing 21, no. 5 (2017): 6–7. http://dx.doi.org/10.1109/mic.2017.3481339.

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20

Yi-Bing Lin, Ming-Feng Chang, and Herman Chung-Hwa Rao. "Mobile prepaid phone services." IEEE Personal Communications 7, no. 3 (June 2000): 6–14. http://dx.doi.org/10.1109/98.847918.

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21

Murphy, Joe. "Refining Mobile Library Services." Reference Librarian 53, no. 4 (October 2012): 347–48. http://dx.doi.org/10.1080/02763877.2012.704565.

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22

Hart, N., P. Robertson, and P. Bartels. "Mobile services in Australia." IEEE Communications Magazine 29, no. 11 (November 1991): 36–40. http://dx.doi.org/10.1109/35.109663.

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23

Jefferies, N., S. Hope, J. M. Irvine, and A. Munro. "Modelling mobile multimedia services." Electronics & Communication Engineering Journal 12, no. 6 (December 1, 2000): 271–79. http://dx.doi.org/10.1049/ecej:20000605.

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24

Akinalp, C. "Seamless services [mobile interworking]." Communications Engineer 2, no. 6 (December 1, 2004): 24–27. http://dx.doi.org/10.1049/ce:20040604.

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25

Torabi, Mohammad. "Mobile virtual reality services." Bell Labs Technical Journal 7, no. 2 (December 2, 2002): 185–93. http://dx.doi.org/10.1002/bltj.10012.

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26

Liu, Ling. "Services Computing: From Cloud Services, Mobile Services to Internet of Services." IEEE Transactions on Services Computing 9, no. 5 (September 1, 2016): 661–63. http://dx.doi.org/10.1109/tsc.2016.2602898.

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27

Kang, Jinsuk, and Chung Jae Young. "A Platform for Mobile Image Recognition and Mobile Mapping in Local Based Services." Lecture Notes on Software Engineering 4, no. 1 (2016): 77–81. http://dx.doi.org/10.7763/lnse.2016.v4.227.

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28

Alias, Ms Mamata, Aishwarya Rammrao Desai, and Dr C. S. Dalvi. "4 G Wave of Mobile Services in India." International Journal of Trend in Scientific Research and Development Special Issue, Special Issue-FIIIIPM2019 (March 20, 2019): 145–48. http://dx.doi.org/10.31142/ijtsrd23087.

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29

Hadigol, Mostafa, and A. Kolobandy. "Factors affecting consumer acceptance of mobile banking in Tejarat Bank in city of Karaj, Iran." Journal of Management and Accounting Studies 7, no. 03 (September 29, 2020): 30–35. http://dx.doi.org/10.24200/jmas.vol7iss03pp30-35.

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Objective: The growth in mobile phone usage in the last decade has been pretty amazing. Today, for most people mobile phones are a necessity. So that you have to carry them wherever you go. Mobile technology has changed commercial and business behaviors of mobile users. Methodology: Commerce via mobile is a business solution nowadays and has led to a change in existing businesses. Among these services, is mobile banking. It should be said that mobile banking is one of the primary components to help expansion of business operations using mobiles. The main objective of this study is to investigate factors influencing the adoption of mobile banking services by customers and testing six hypotheses. Results: The present research is casual by method and nature, survey by implementation, and practical in purpose. The population in this study, customers are Tejarat Bank city customers in Karaj in the year 2015.Sh. To achieve objectives of the research, 384 questionnaires distributed among the bank customers and then analyzed. In this study all considered assumptions confirmed. Conclusion: Finally, it can be said that mobile phone services can lead to creation of comparative advantage and an acceptable profitability compared with other banks’ services.
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30

Pulkkis, Göran, and Farzan Yazdani. "Mobile Certificate Based Network Services." Issues in Informing Science and Information Technology 10 (2013): 413–29. http://dx.doi.org/10.28945/1819.

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31

Fabrizi, Simona. "Asymmetric Upgrading of Mobile Services." International Journal of E-Business Research 7, no. 3 (July 2011): 79–91. http://dx.doi.org/10.4018/jebr.2011070105.

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Despite the accelerated pace at which progress in wireless technologies occurs, it is not uncommon to observe that some Mobile Operators (MOs) do not upgrade their mobile services, while their competitors adopt the newest technological standards. This paper proposes an explanation for this apparent paradox by means of a formal theoretical model that acknowledges demand heterogeneity in a quality upgrading game between horizontally differentiated and competing MOs. Demand heterogeneity stems from the co-existence of both conservative and quality-seeking users in the mobile services market. The author derives both symmetric and asymmetric upgrading outcomes depending on (1) the ratio of quality-seeking and conservative users, (2) the upgrading cost, (3) the extra-value conservative users attribute to upgraded services, and (4) the degree of differentiation between competing MOs. Results reveal under which conditions demand heterogeneity leads to higher profits for non-upgrading MOs than for upgrading MOs, constituting the rationale for asymmetric upgrading outcomes to arise.
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32

Yoo, See Hwan, Jae Hyun Hwang, and Hyuck Yoo. "Mobile Computing: Technologies and Services." Journal of Korean Society of Medical Informatics 10, no. 1 (2004): 1. http://dx.doi.org/10.4258/jksmi.2004.10.1.1.

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33

Kargin, Banu, Nuri Basoglu, and Tugrul Daim. "Adoption Factors of Mobile Services." International Journal of Information Systems in the Service Sector 1, no. 1 (January 2009): 15–34. http://dx.doi.org/10.4018/jisss.2009010102.

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34

Kaasinen, Eija. "User Acceptance of Mobile Services." International Journal of Mobile Human Computer Interaction 1, no. 1 (January 2009): 79–97. http://dx.doi.org/10.4018/jmhci.2009010105.

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35

Giovanis, Apostolos, Pinelopi Athanasopoulou, Costas Assimakopoulos, and Christos Sarmaniotis. "Adoption of mobile banking services." International Journal of Bank Marketing 37, no. 5 (July 1, 2019): 1165–89. http://dx.doi.org/10.1108/ijbm-08-2018-0200.

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PurposeThe purpose of this paper is to investigate which of four well-established theoretical models (i.e. technology acceptance model, theory of planned behavior, unified theory of acceptance and use of technology, decomposed theory of planned behavior (DTPB)) best explains potential users’ behavioral intentions to adopt mobile banking (MB) services.Design/methodology/approachDrawing on data from 931 potential users in Greece, the structural equation modeling method was used to examine and compare the four models in goodness-of-fit, explanatory power and statistical significance of path coefficients.FindingsResults indicate that the best model is an extension of the DTPB with perceived risk (PR). Customers’ attitude, determined by three rationally-evaluated MB attributes (usefulness, easiness and compatibility), is the main driver of consumers’ intentions to adopt MB services. Additionally, consumers’ perceptions of availability of knowledge, resources and opportunities necessary for using the service, and the pressure of interpersonal and external social contexts toward the use of MB are the other two, less important, adoption drivers. Finally, PR negatively affects attitude formation and inhibits willingness to use MB services.Practical implicationsFindings can help marketers of financial institutions to select the more parsimonious model to develop appropriate marketing strategies to increase adoption rates of MB services.Originality/valueThis is the first study that compares the performance of four well-known innovation adoption models to explain consumers’ behavior in the MB context.
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36

Al‐Debei, Mutaz M., Enas Al‐Lozi, and Guy Fitzgerald. "Engineering innovative mobile data services." Business Process Management Journal 19, no. 2 (April 12, 2013): 336–63. http://dx.doi.org/10.1108/14637151311308349.

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37

DOSPINESCU, Octavian, and Marian PERCA. "Web Services in Mobile Applications." Informatica Economica 17, no. 2/2013 (June 30, 2013): 17–26. http://dx.doi.org/10.12948/issn14531305/17.2.2013.02.

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38

Gheith, A., R. Rajamony, P. Bohrer, K. Agarwal, M. Kistler, B. L. White Eagle, C. A. Hambridge, J. B. Carter, and T. Kaplinger. "IBM Bluemix Mobile Cloud Services." IBM Journal of Research and Development 60, no. 2-3 (March 2016): 7:1–7:12. http://dx.doi.org/10.1147/jrd.2016.2515422.

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39

McLean, Michelle. "Mobile library services: Best practices." Australian Library Journal 63, no. 1 (January 2, 2014): 66–67. http://dx.doi.org/10.1080/00049670.2013.878278.

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40

Riegel, Max. "Ethernet services over mobile WiMAX." IEEE Communications Magazine 46, no. 10 (October 2008): 86–93. http://dx.doi.org/10.1109/mcom.2008.4644123.

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41

Aharony, Noa. "Librarians' attitudes towards mobile services." Aslib Proceedings 65, no. 4 (April 1, 2013): 358–75. http://dx.doi.org/10.1108/ap-07-2012-0059.

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PurposeThe purpose of this paper is to explore whether librarians are familiar with technological innovations and are ready to accept them. The objectives are: to what extent does the Technology Acceptance Model (TAM) explain librarians' perceptions of mobile services (m‐services); and to what extent do differences in gender, age, workplace, role, and smart phone use explain librarians' perceptions of m‐services?Design/methodology/approachThe research was conducted in Israel during the first semester of the 2012 academic year. It encompassed three groups of Israeli librarians: academic, public, and special. Researchers used two questionnaires to gather data: a personal details questionnaire, and a mobile technology questionnaire.FindingsThis study supported the two core variables model (perceived ease of use and usefulness) of TAM that may predict librarians' behavioral intention to use m‐services in the library. However, it added two more components to the model: personal innovativeness and smart phone usage.Practical implicationsLibrary directors may try to implement more m‐services on their web sites. These services should be simple, attractive, and efficient. They should also try to expose librarians to the benefits and ease of use of m‐services.Originality/valueThe findings emphasize the importance of the TAM that may predict librarians' behavioral intention to use m‐services in the library and may lead to further research in this field.
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42

Lathia, Neal, Licia Capra, Daniele Magliocchetti, Federico De Vigili, Giuseppe Conti, Raffaele De Amicis, Theo Arentze, Jianwei Zhang, Davide Calì, and Vlad Alexa. "Personalizing Mobile Travel Information Services." Procedia - Social and Behavioral Sciences 48 (2012): 1195–204. http://dx.doi.org/10.1016/j.sbspro.2012.06.1095.

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43

Demestichas, Konstantinos P., Evgenia F. Adamopoulou, John G. Markoulidakis, and Michael E. Theologou. "Towards Anonymous Mobile Community services." Journal of Network and Computer Applications 32, no. 1 (January 2009): 116–34. http://dx.doi.org/10.1016/j.jnca.2008.04.002.

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44

Penders, Jacques. "Privacy in (mobile) Telecommunications Services." Ethics and Information Technology 6, no. 4 (December 2004): 247–60. http://dx.doi.org/10.1007/s10676-005-5605-9.

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45

Okazaki, Shintaro, and Felipe Mendez. "Perceived Ubiquity in Mobile Services." Journal of Interactive Marketing 27, no. 2 (May 2013): 98–111. http://dx.doi.org/10.1016/j.intmar.2012.10.001.

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46

Cena, Federica, Fabio Gasparetti, Damianos Gavalas, Shuk Y. Ho, Bin Liu, and Dingqi Yang. "Advances in Personalized Mobile Services." Mobile Information Systems 2018 (June 26, 2018): 1–2. http://dx.doi.org/10.1155/2018/6047696.

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47

Clark, David M. "Mobile services in rural areas." Journal of Rural Studies 1, no. 1 (January 1985): 102–3. http://dx.doi.org/10.1016/0743-0167(85)90097-x.

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48

Wood, P. "Mobile satellite services for travellers." IEEE Communications Magazine 29, no. 11 (November 1991): 32–35. http://dx.doi.org/10.1109/35.109662.

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Gozdecki, J. "Mobile Web Services [Book Review]." IEEE Communications Magazine 44, no. 2 (February 2006): 8. http://dx.doi.org/10.1109/mcom.2006.1593532.

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50

Pospischil, G., I. Miladinovic, and H. Kunczier. "Hot topics for mobile services." e & i Elektrotechnik und Informationstechnik 122, no. 3 (March 2005): 102–7. http://dx.doi.org/10.1007/bf03054044.

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