709 research outputs found

    Examining Drivers and Impacts of Informatization in Shanghai Manufacturing Firms

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    With careful theoretical development and empirical data examination, this paper investigates several key factors that influence the IT usage in Shanghai firms: technology resource, human resource and environment resource. On the basis of the resource-based view and the process model, the study imports government regulation policies, as well as e-government actions, as environmental resource to affect firms’ IT usage. By surveying 398 manufacturing firms in Shanghai and statistically analyzing the field data using structural equation modeling technique, the study contributes several insights to the IT usage in Chinese firms. First of all, this study sheds lights on the value creation process of firms’ informatization in Shanghai manufacturing industry and validates the route from IT investment to value realization. Second, the findings suggest that government promotion policies have significant impacts on manufacturing firms’ technology infrastructure and IT management decision. However, there is no evidence showing the government impact on firms’ IT usage level

    A Resource-Based Model of IT Usage in Shanghai Higher Education Institutions

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    On the basis of resource-based view, this paper analyzes the impacts of IT resource on different levels of IT usage in Shanghai higher education institutions. By analyzing the survey data from 40 Shanghai institutions, the study contributes several insights to China-context IT usage research and practice in higher education system. First of all, this study sheds lights on the impacts of IT resource on deep IT usage in Shanghai higher education system. Second, the findings suggest that organizational support has significant positive impact on higher education institutions’ managerial IT usage. The study is the first few attempts to explore the process model of IT usage in China higher education institutions

    The Comparison of Information Systems Develop Trends between the Chinese Mainland and International

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    The aims of this research are two fold. First, it compares the research focus of Information Systems in Mainland China with that of the international IS research community. Second, the paper describes the main features and trend of IS research in Mainland China, and makes some suggestions as to some possible interesting research arena. The data are from twenty five academic journals in China and proceedings of international Information Systems conferences

    USE OF WEB 2.0 TECHNOLOGY TO ENHANCE CUSTOMER RELATIONSHIPS

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    The broadening of Web 2.0 offerings opens up new opportunities and challenges to improve customer relationships. Customers can have an active voice, but this voice has to be carefully managed so as to create a lively dialog between customers and the company and to produce ultimately a win-win relationship. The panel discusses opportunities and challenges and shares experiences

    Explaining E-Tailers’ Source of Competitiveness: An Integrative Framework

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    E-tailers refer to small and medium size enterprises or individual entrepreneurs primarily conducting businesses on online shopping platforms. Although many works on e-marketplaces have been done, theory-driven studies that explain e-tailers’ source of competitiveness are relatively scarce. The current work developed an integrative theoretical model in which online social capital, structural assurance, and online word-of-month are proposed to affect e-tailers’ business performance. The current study offers implications on: 1) what are the unique sources of competitiveness for businesses operating in pure online environment; 2) how can the resource-scare e-tailers survive in their rivalry with large offline retailers

    Sharing Knowledge in China: Experiences in an SME

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    In this article, we explore the experiences of a medium sized media relations firm based in Beijing, Shanghai, Guangzhou and Chengdu as it sought to establish a knowledge sharing culture. Building off existing initiatives involving online communication, as well as an espoused enthusiasm for sharing knowledge, we describe how we have started working with this firm as it seeks to develop a key knowledge sharing competence

    Research on Modelling Customer Ontology under CRM Framework

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    Journey with Ting-Peng Liang in Pacific Asia Information Systems Field

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    Our respectful old friend Professor Ting-Peng Liang (in short, TP) whom we loved suddenly passed away on May 20, 2021. But we cannot forget his smile and passion, and his inerasable footprints in PACIS, PAJAIS, and AIS Community. He was the founder of PACIS, founding editor-in-chief of PAJAIS, and past president of AIS to list just a few. He was the pioneer who received the first AIS Fellow and the first LEO Award from Asia Pacific. That is why the leaders of the information systems field organized the first ever special tribute session in PACIS 2021 in memory of TP (https://aisel.aisnet.org/pacis2021/253/

    Come Rain and Shine? Exploring the Effects of Mobile Weather Applications on Users’ Movements

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    All Weather conditions affect human behaviors and the growing number of Mobile Weather Applications (MWAs) has amplified this effect. Yet, little is known about how human seek to actively control their behavior by appropriating mobile technology to anticipate changing weather conditions. Guided by Anticipatory Behavioral Control Theory (ABCT), this study endeavors to bride the abovementioned knowledge gap by investigating how the interface design and usage of MWAs would impact the relationship between abnormal weather conditions and users’ movement patterns. From analyzing panel data collected on the hourly movement trajectories of over 1.95 million anonymous mobile phone users over a 2-month period, we strive to shed light on the moderating influence of content representation and usage intensity of MWAs on the relationship between weather conditions and human behaviors

    PERSONALIZED RECOMMENDATION OF MOBILE TOURISM: A MULTIDIMENSIONAL USER MODEL

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    With rapid advances in e-business and mobile technology, the personalized recommendation of mobile tourism becomes a critical issue for both researchers and practitioners. The big data, problems of new users and similar recommendations remain barriers for mobile tourism. Through a large dataset gathered by questionnaires, this paper develops a novel multidimensional user model from the perspective of context. The dimensions of our model include several factors: historical behaviour, context and demographic feature of users. To make a better understanding of the model, a case study was adopted. Besides, an experiment is also conducted to evaluate the performance of the proposed model. As a conclusion, limitations and future researches are discussed
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