30,574 research outputs found
Panel: IS has outgrown the need for reference discipline theories, or has it?
In the decade since the creation of wireless handheld devices, mobile commerce (m-commerce) has
become a ubiquitous channel for accessing information and conducting business. Mobile users can
now access information anytime and anywhere. Mobile advertising, retailing, and gambling are
popular, and gradually the competition among mobile services providers turns fierce. Hence, some
services providers adopt personalization technologies to customize content for their users. This paper
explores the opportunities and challenges of the use of personalization technologies in m-commerce.
Although the effectiveness of personalization on the web is well-examined, there is little work on
personalization in mobile services. The debates regarding the effectiveness of personalization and
technological limitations and privacy concerns motivate us to conduct focus groups with mobile users,
and explore the opportunities and challenges of personalized mobile services. The focus groups
findings illustrate that mobile users are very concerned about their privacy and spam. We then extract
a list of personal information from the focus groups findings. This list of personal information is
highly related to mobile users’ privacy concerns. We conduct an online survey to gain a better
understanding of which piece of information mobile users are more willing to share with services
providers and we perform a multi-dimensional scale analysis
Business Modeling Framework For Personalization In Mobile Business Services
Is presented the structure of a formal framework for personalization
features for mobile business services, which can be used to drive the
business modeling of M-business services from a service provider point
of view. It also allows to compute the revenue as linked to
personalization levels and features. A case study has been performed
in the area of personalized location based mobile service
On Coordinating Personalized Web Services using COOPS
This paper presents CooPS, which is a method for Coordinating Personalized Services. These services are primarily offered to mobile users. Very little has been done so far regarding first, personalizing Web services for the benefit of mobile users and second, providing the methodological support to designers who specify the operations of personalization. Various obstacles still exist such as lack of techniques for modeling and specifying the integration of personalization into Web services, and existing approaches for Web services composition typically facilitate orchestration only, while neglecting contextual information on users and Web services
A Personalization-Privacy Paradox in Usage of Mobile Health Services: A Game Theoretic Perspective
As health information privacy concern of the public raises, people are hesitant on disclosure of their private health information for personalized health services from using mobile health. The tension between personalization and privacy hinders users’ adoption of mobile health services. In this study, we draw on game theory to explain the personalization-privacy paradox in the usage of mobile health services. The results show that: (1) In a one-shot game, the strategy set of mobile health marketers and users will be contrary to their original motivations. (2) In a repeated game, collecting users’ private health information in a friendly way and disclosing private health information will be dominant strategies for both players. Managers need to pay attention to these scenarios in promoting usage of mobile health services
CooPS - Towards a method for coordinating personalized services
This paper presents CooPS, which is a method for Coordinating Personalized Services. These services are primarily offered to mobile users. The concept of services is the object of intense investigations from both academia and industry. However, very little has been accomplished so far regarding first, personalizing services for the benefit of mobile users, and second, providing the appropriate methodological support for those (i.e., designers) who will be specifying the operations of personalization. Various obstacles still exist such as lack of techniques for modeling and specifying the integration of personalization into services, and existing approaches for service composition typically facilitate orchestration only, while neglecting contexts of users and services. CooPS consists of several steps ranging from service definition and personalization to service deployment. Each step has some representation techniques, which aim at facilitating the specification and validation of the operations of coordinating personalized services. © Springer-Verlag 2006
The role of information for the customer journey in mobile food ordering apps
Rita, P., Eiriz, V., & Conde, B. (2022). The role of information for the customer journey in mobile food ordering apps. Journal Of Services Marketing. https://doi.org/10.1108/JSM-11-2021-0407Purpose This study aims to determine how to influence the customer journey of mobile food ordering applications (MFOAs) users. It researches how available information could influence customers’ intention to use MFOAs platforms in the prepurchase stage and explores the potential of personalized information to improve customer satisfaction with these services in the postpurchase stage. Design/methodology/approach This research followed a mixed design, combining qualitative (focus groups) and quantitative (online survey) research and using both content analysis and partial least squares structural equation modeling. Findings Two types of available information (firm-generated information and online customer reviews) had a positive influence on the behavioral intention to use MFOAs. Additionally, findings showed that different web personalization strategies, namely, content personalization, functional personalization and system-driven personalization, were useful tools to create customer satisfaction with this type of platform. Research limitations/implications The study discusses limitations regarding the sample and sampling process, indicator variables and measures. Practical implications The present research provides actionable insights for online food delivery providers. Originality/value This study addresses a research gap in the literature and provides a novel and richer understanding of customer behavior toward mobile food delivery platforms. Also, it adds to the personalization research by identifying and testing a range of web personalization strategies. Keywordsauthorsversionepub_ahead_of_prin
When does personalization work on social media? a posteriori segmentation of consumers
The aim of this research is to find a segment of consumers of fashion products based on their
personal visions of personalization of shoppable ads on mobile social media. To meet this
objective, three operational objectives are defined. First, a theoretical model is evaluated based
on the stimulus-organism-response framework (S–O–R). This examines, with a PLS-SEM
approach, how the stimulation of personalization will affect consumers’ internal cognitive
state (perceived usefulness) and consequently generates a behavioral response (intention
to buy). Second, we look for fashion consumer segments based on their perception of
personalization through prediction-oriented segmentation (PLS-POS). Third, the segments are
explained based on three constructs that were considered important in fashion consumption
through mobile social networks: purchase intention, concern for privacy, and perception of
trend. The inclusion of personalization and the perception of usefulness of advertisements can
greatly help the intention to purchase clothing to be understood. The application of a posterior
segmentation helps to better understand the different types of users exposed to shoppable
ads on mobile social networks and their relationship with the purchase intention, concern for
privacy and trend. While the measures and scales were tested in a context of mobile clothing
trade, the methodology can be applied to other types of products or services
Solutions to Increase Mobile Merchant Payment Applications Value, Customers’ Continued Intention to Use, and Loyalty
The use of mobile payment applications is on the rise. There are a variety of mobile payment applications that attempt to offer value to increase the market share of merchants that provide them. However, many users are likely to stop using apps if optimal utility and customized services are not correctly delivered. This study proposes that offering context-based services that indicate customization and personalization of services will improve the perceived utility of mobile merchant payment applications and in turn, increase continued intention to use it and customer loyalty to the merchant. Our results also show that the reputation of mobile vendors significantly enhances the perceived utility of mobile merchant payment applications. The findings of this study can be valuable to researcher, merchants and mobile application developers
Understanding the Adoption of Mobile Banking Services: An Empirical Assessment
Services offered through the mobile channel are increasing rapidly. However, limited understanding exists on thevariation in adoption of these services. This study provides insights on this area by examining factors that influencethe adoption of mobile banking services. Based on UTAUT, innovation diffusion, and ubiquitous computingframework, we identity accessibility, alertness, personalization, ease of navigation, service compatibility, devicecompatibility, and facilitating conditions as key drivers of mobile banking services adoption. Empirical assessmentbased on discriminant analysis shows that individual perceptions regarding accessibility, alertness, and ease ofnavigation have a significant influence on the adoption decision. Interestingly, we found that accessibility and easeof navigation had a positive association with the adoption of mobile banking services, while non-adopters perceivedalertness to be a more compelling value proposition. Overall, the results offer guidance on how to increase adoptionrates and open new avenues for research in the area of mobile services
Video adaptation for mobile digital television
Mobile digital television is one of the new services introduced recently by telecommunications operators in the market. Due to the possibilities of personalization and interaction provided, together with the increasing demand of this type of portable services, it would be expected to be a successful technology in near future. Video contents stored and transmitted over the networks deployed to provide mobile digital television need to be compressed to reduce the resources required. The compression scheme chosen by the great majority of these networks is H.264/AVC. Compressed video bitstreams have to be adapted to heterogeneous networks and a wide range of terminals. To deal with this problem scalable video coding schemes were proposed and standardized providing temporal, spatial and quality scalability using layers within the encoded bitstream. Because existing H.264/AVC contents cannot benefit from scalability tools, efficient techniques for migration of single-layer to scalable contents are desirable for supporting these mobile digital television systems. This paper proposes a technique to convert from single-layer H.264/AVC bitstream to a scalable bitstream with temporal scalability. Applying this approach, a reduction of 60% of coding complexity is achieved while maintaining the coding efficiency
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