International Journal of Services and Standards (5 papers in press)
Managing Expatriate Knowledge Sharing Process: The Roles of Source and Recipient Contexts
by Li-Yueh Lee, Alfiyatul Qomariyah
Abstract: Knowledge sharing is very crucial but not an easy activity in knowledge management. It indicates that managers need to have deep understanding and knowledge about factors that influence knowledge sharing. Some of the most crucial antecedents come from source and recipient context as the actors in knowledge sharing. Therefore, study tries to explain the influence of source and recipient context including motivation (internal and external), opportunity, absorptive capacity, cultural intelligence, and self-efficacy on knowledge sharing collecting and donating. By conducting data from 234 Taiwanese and foreign expatriates in Taiwan, this study developed some important conclusions. The findings of this study show that opportunity, absorptive capacity, cultural intelligence, and self-efficacy influence knowledge sharing collecting and donating. Since previous studies regarding source and recipient contexts that influence knowledge sharing are limited, this study enables to give an important insight for further academic validation. Besides, the results of this study will be useful for managers and academicians to improve effectiveness of knowledge sharing during the expatriation process.
Keywords: Knowledge sharing; motivation; opportunity; absorptive capacity; cultural intelligence; self-efficacy.
Special Issue on: ICT and Services Improvements
The effect of awareness and perceived risk on the technology acceptance model (TAM): Mobile banking in Yemen
by Ahmed M. Mutahar, Norzaidi Mohd Daud, Ramayah Thurasamy, Osama Isaac, Adnan Aldholay
Abstract: The high subscription of mobile phones can be a mean to achieve financial inclusion of the underserved population. Mobile banking is having a transformative effect on developed and developing economies and is valued by users with different backgrounds. Mobile banking has the potential outperform the internet banking, since, the usage of internet in Yemen is very limited, mobile banking has a higher potential to reach more clients because of the greater penetration of mobile devices. This purpose of this study is to examine the effect of perceived risk and awareness as external variables on the technology acceptance model for a comprehensive understanding of intention to use mobile banking services. A specially designed survey questionnaire was used to collect data for the evaluation of the proposed model, and 482 valid responses were received from individuals who have a bank account, own a mobile phone but do not use mobile banking services. SEM via AMOS software was used to examine the significance levels of associations and interactions between the factors tested. The proposed research model explained 78% of the variance in intention to use mobile banking services. The findings of the multivariate analysis revealed that awareness reduces the perception of risk. In addition, perceived risk is a major attenuator for the perceived ease of use, and perceived usefulness. Awareness also had a significant impact on the perceived usefulness (PU) and Perceived Ease of Use (PEOU). In addition, PU was found as a major predictor of the intention to adopt mobile banking. The results of the current study will give additional insights into productive strategies of to extend mobile banking in countries such as Yemen.
Keywords: Mobile Banking; TAM: Technology Acceptance Model; Perceived Risk; Awareness; Intention to use mobile banking services.
Online Learning Usage and Performance among Students within Public Universities in Yemen
by Adnan H. Aldholay, Zaini Abdullah, T. Ramayah, Osama Isaac, Ahmed M. Mutahar
Abstract: As information and communication technology (ICT) is making the leap to transform all aspects of life, online learning has become widely viewed as the future of education. Because Yemen is lagging behind in the adoption of ICT, being faced with many challenges, limited resources, weak infrastructure, and a high student population, the focus of this research will be on Yemeni Institutes of Higher Education and the role that online learning can play in Yemen. This conceptual article extends the Delone & Mclean Information System Success Model (DMISM) to create a comprehensive model that comprises five main antecedents as independent variables (namely technological, task, individual, social, and organisational characteristics) with actual usage, user satisfaction and cognitive absorption as mediating variables, and performance impact as a dependent variable. The anticipated findings will provide a guideline for both policymakers and university management. The theoretical and practical implications are also discussed.
Keywords: Online learning; Delone & Mclean; DMISM; performance; higher education; Yemen.
Lexicon-based Sentiment Analysis Approach for Ranking Event Entities
by Sajida Chamass, Hussein Hazimeh, Jawad Makki, Elena Mugellini, Omar Abou Khaled
Abstract: Social media platforms (SMP) are becoming a treasured resource for data analytics. Multiple aspects can be studied by using its variety of features. Sentiment analysis (SA) is a rising research topic in social media. Approaches to SA are two-fold: the domain being analyzed and the mechanisms and features behind this analysis. A domain can be oriented towards products, humans, firms and events. Mechanisms can be lexical or supervised, and features can be text, emoticons and emojis. SA approaches on events are still poor. In this paper, we address the problem of ranking event entities and we propose a novel approach for the desired aim. An entity is a person who presents some task in such event, for e.g. a researcher in a conference, a musician in a festival. To achieve our target, we followed the lexical approach, in addition to associating features from both Facebook and Twitter platforms. We used Facebook reactions as a crucial feature that not been used in the state-of-the-art approaches. Our results have shown that by associating both features from Facebook and Twitter and by using reactions, we can successfully rank entities participating in a specific event having high precision.
Keywords: (KA) Knowledge Acquisition; Information Extraction; SNA (Social NetworkrnAnalysis); Social Media Analytics (SMA); Sentiment Analysis; Lexical Approach.
Enterprise Interactions: Conceptualization, Ontology, and Standard Architectures and Services
by Youcef Baghdadi
Abstract: Enterprise interactions involve different types of autonomous, heterogeneous, and loosely coupled actors, which requires integration architectures that enable flexibility and agility. This article proposes a framework to conceptualize the enterprise interactions, geared toward a lightweight ontology. This ontology is meant to understand the semantics of the different types of enterprise interactions, in order to rationally decide the required standard architectures and services that facilitate the integration with the current (or to develop) technologies such as extended social websites, Internet of Things, web services and micro-services-based SOA, and cloud computing.
Keywords: Enterprise Interactions; Conceptualization; Lightweight Ontology; Enterprise Integration; Standard Architectures and Services.