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Achieving the anticipated business benefits of a social medium is important as organizations diligently invest in different social media platforms. While much previous research assumes that social media helps organizations to communicate with customers, less is known about whether customers embrace using social media to interact with organizations. It is important to understand the role of social media for business communication from the customers’ perspective, as this may significantly deviate from the organizations’ own communicative intentions. In this exploratory case study of the Moon Struck hotel in China, we investigate both how customers interpret the hotel’s use of WeChat official account for business communication and how customers respond to messages received from Moon Struck’s WeChat account. Adopting a symbolic interactionism perspective, we surprisingly find that WeChat personal accounts and Moon Struck’s official account offer radically different meanings to followers. Specifically, WeChat personal account symbolizes a sociality-oriented meaning (e.g., relationship and image building), while Moon Struck’s WeChat official account symbolizes information broadcasting-related meaning (e.g., selling, advertising, and branding). Both technological features and the distance of relationships among users contribute to the constructed symbolic meaning of technology, subsequently affecting users’ WeChat use patterns. The theoretical implications of this study are discussed and recommendations are made for future research and practice. 相似文献
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[目的/意义]随着互联网的高速发展，社交网络从无到有，在全球迅速发展起来，人们开始更多的依赖从SNS中获得在线社会支持。与传统社会支持相比，在线渠道尤其是SNS对于人们给予和接受社会支持变得越来越重要。因此，对这一领域的中外文献进行整体分析，帮助研究人员了解这方面研究的发展现状和趋势是有必要的。[方法/过程]通过对2018年前社交网络环境下在线社会支持的中英文研究的期刊文献进行收集并对文献进行内容分析。通过对205篇中外研究文献进行多维编码分析，总结了目前的研究现状并探讨了未来研究的可能方向。[结果/结论]文章总结了SNS环境下在线社会支持的研究重点以及研究方法等研究现状，探讨了该领域在研究对象、研究方法、社会网络的结构与作用等方面的未来潜在研究方向和途径，并分析了中外研究者在研究方法等方面的差异。 相似文献
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This study investigates how business research scholars’ internationalization strategies influence their research performance and how this relationship is moderated by the availability of different knowledge-based resources. The authors analyze citations to journal articles authored by business research scholars with German affiliations and examine how the number of citations is determined by international collaborations and a researcher's knowledge resources in terms of language skills, research experience, and foreign market knowledge. The results demonstrate that the augmentation of complementary knowledge resources (i.e., when researchers lack language skills and foreign market knowledge) positively influences the performance of a collaboration-based internationalization strategy (i.e., collaborations with international researchers). The collaboration-based strategy also improves performance for less experienced researchers, but this advantage diminishes with increasing research experience. The findings provide further insights into drivers of scholars’ research performance and have practical implications for science policy. 相似文献
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The advent of new information technology has radically changed the end-user computing environment over the past decade. To enhance their management decision-making capability, many organizations have made significant investments in business intelligence (BI) systems. The realization of business benefits from BI investments depends on supporting effective use of BI systems and satisfying their end user requirements. Even though a lot of attention has been paid to the decision-making benefits of BI systems in practice, there is still a limited amount of empirical research that explores the nature of end-user satisfaction with BI systems. End-user satisfaction and system usage have been recognized by many researchers as critical determinants of the success of information systems (IS). As an increasing number of companies have adopted BI systems, there is a need to understand their impact on an individual end-user's performance. In recent years, researchers have considered assessing individual performance effects from IS use as a key area of concern. Therefore, this study aims to empirically test a framework identifying the relationships between end-user computing satisfaction (EUCS), system usage, and individual performance. Data gathered from 330 end users of BI systems in the Taiwanese electronics industry were used to test the relationships proposed in the framework using the structural equation modeling approach. The results provide strong support for our model. Our results indicate that higher levels of EUCS can lead to increased BI system usage and improved individual performance, and that higher levels of BI system usage will lead to higher levels of individual performance. In addition, this study's findings, consistent with DeLone and McLean's IS success model, confirm that there exists a significant positive relationship between EUCS and system usage. Theoretical and practical implications of the findings are discussed. 相似文献
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This article discusses how social media research may benefit from social media companies making data available to researchers through their application programming interfaces (APIs). An API is a back-end interface through which third-party developers may connect new add-ons to an existing service. The API is also an interface for researchers to collect data off a given social media service for empirical analysis. Presenting a critical methodological discussion of the opportunities and challenges associated with quantitative and qualitative social media research based on APIs, this article highlights a number of general methodological issues to be dealt with when collecting and assessing data through APIs. The article further discusses the legal and ethical implications of empirical research using APIs for data collection. 相似文献
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《International Journal of Information Management》2016,36(5):686-699
Social commerce sites (SCSs), a new model of social media, provide fertile ground for customers to communicate their opinions and exchange product- or service- related information. Given the significant opportunities related to the use of social media data for customers’ insight, we explore the factors driving information sharing behavior on SCSs. In this paper, we propose and empirically test a comprehensive theoretical model for customer information sharing behavior through analysis of online survey data as well as network and behavioral usage data of over four months from 1177 customers in a SCS. The research model was empirically validated with the use of both subjective and objective data in a longitudinal setting. Our results show that customer information sharing is influenced by both individual (i.e., reputation and the enjoyment of helping others) and social capital (i.e., out-degrees’ post, in-degrees’ feedback, customer expertise and reciprocity) factors. This study contributes to the existing literature by highlighting the role of directed social network in customer information sharing behavior on SCSs. We believe that the results of our study offer important insights to the IS research and practice. 相似文献
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《International Journal of Information Management》2014,34(2):272-284
Company movements and market changes often are headlines of the news, providing managers with important business intelligence (BI). While existing corporate analyses are often based on numerical financial figures, relatively little work has been done to reveal from textual news articles factors that represent BI. In this research, we developed BizPro, an intelligent system for extracting and categorizing BI factors from news articles. BizPro consists of novel text mining procedures and BI factor modeling and categorization. Expert guidance and human knowledge (with high inter-rater reliability) were used to inform system development and profiling of BI factors. We conducted a case study of using the system to profile BI factors of four major IT companies based on 6859 sentences extracted from 231 news articles published in major news sources. The results show that the chosen techniques used in BizPro – Naïve Bayes (NB) and Logistic Regression (LR) – significantly outperformed a benchmark technique. NB was found to outperform LR in terms of precision, recall, F-measure, and area under ROC curve. This research contributes to developing a new system for profiling company BI factors from news articles, to providing new empirical findings to enhance understanding in BI factor extraction and categorization, and to addressing an important yet under-explored concern of BI analysis. 相似文献
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Michel Laroche Mohammad Reza Habibi Marie-Odile Richard 《International Journal of Information Management》2013
There is an ongoing debate over the activities of brands and companies in social media. Some researchers believe social media provide a unique opportunity for brands to foster their relationships with customers, while others believe the contrary. Taking the perspective of the brand community building plus the brand trust and loyalty literatures, our goal is to show how brand communities based on social media influence elements of the customer centric model (i.e., the relationships among focal customer and brand, product, company, and other customers) and brand loyalty. A survey-based empirical study with 441 respondents was conducted. The results of structural equation modeling show that brand communities established on social media have positive effects on customer/product, customer/brand, customer/company and customer/other customers relationships, which in turn have positive effects on brand trust, and trust has positive effects on brand loyalty. We find that brand trust has a fully mediating role in converting the effects of enhanced relationships in brand community to brand loyalty. The implications for marketing practice and future research are discussed. 相似文献
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高校科研人员学术影响力综合评价在推动国家、高校和高校科研人员的整体综合全面发展中起着非常重要的作用。在科学2.0时代下,有必要将传统计量指标和替代计量指标结合起来实现更为全面有效的评价应用。鉴于此,本文基于ResearchGate网站平台抓取以北京工业大学科研人员为例的高校科研人员在网络媒体上呈现的影响力指标数据,并结合传统的引文计量指标数据,在数据分析中采用定性和定量相结合的方法,采用主成分分析和天际线的方法构建指标体系和评价模型,通过指标赋权作出综合评价。为科研人员学术影响力综合评价提供新视角,提出新思路,对具体评价结果进行解析,为完善高校教师科研评价体制的相应对策做出了重要贡献。 相似文献
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[目的/意义]为了推动中国学者学术论文的国际影响力,有利于国内学者在发表国际论文时有更好的选择依据。[方法/过程]以2013—2019年Altmetric Top 100中国科学论文为研究样本,通过对其Altmetrics数据和传统计量数据进行统计,分析研究其特征。[结果/结论]论文聚焦于医学、生物和社会研究等学科,主要由中国科学院和国内985高校(双一流)研究完成,与欧美发达国家合作较多,主要发表于非付费获取方式的高影响因子国际期刊,一般由社会公众在Twitter上讨论与传播,其Altmetrics评分与被引频次的相关性极弱。 相似文献
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Information management is the management of organizational processes, technologies, and people which collectively create, acquire, integrate, organize, process, store, disseminate, access, and dispose of the information. Information management is a vast, multi-disciplinary domain that syndicates various subdomains and perfectly intermingles with other domains. This study aims to provide a comprehensive overview of the information management domain from 1970 to 2019. Drawing upon the methodology from statistical text analysis research, this study summarizes the evolution of knowledge in this domain by examining the publication trends as per authors, institutions, countries, etc. Further, this study proposes a probabilistic generative model based on structural topic modeling to understand and extract the latent themes from the research articles related to information management. Furthermore, this study graphically visualizes the variations in the topic prevalences over the period of 1970 to 2019. The results highlight that the most common themes are data management, knowledge management, environmental management, project management, service management, and mobile and web management. The findings also identify themes such as knowledge management, environmental management, project management, and social communication as academic hotspots for future research. 相似文献
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《International Journal of Information Management》2014,34(2):123-132
Understanding how brands should operate on social media is very important for contemporary marketing researchers and managers. This paper argues that due to the social and networked nature of social media it is an ideal environment for brand communities. Taking a deep qualitative approach and with analysis of a vast array of data, the article articulates the existence of brand communities on social media. More importantly, it delineates five unique and relevant dimensions of brand communities based in social media. The authors advise researchers to consider these dimensions while conducting research on brand communities and social media. Further implications for practitioners and researchers are discussed. 相似文献
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《Information processing & management》2020,57(1):102132
The research field of crisis informatics examines, amongst others, the potentials and barriers of social media use during disasters and emergencies. Social media allow emergency services to receive valuable information (e.g., eyewitness reports, pictures, or videos) from social media. However, the vast amount of data generated during large-scale incidents can lead to issue of information overload. Research indicates that supervised machine learning techniques are suitable for identifying relevant messages and filter out irrelevant messages, thus mitigating information overload. Still, they require a considerable amount of labeled data, clear criteria for relevance classification, a usable interface to facilitate the labeling process and a mechanism to rapidly deploy retrained classifiers. To overcome these issues, we present (1) a system for social media monitoring, analysis and relevance classification, (2) abstract and precise criteria for relevance classification in social media during disasters and emergencies, (3) the evaluation of a well-performing Random Forest algorithm for relevance classification incorporating metadata from social media into a batch learning approach (e.g., 91.28%/89.19% accuracy, 98.3%/89.6% precision and 80.4%/87.5% recall with a fast training time with feature subset selection on the European floods/BASF SE incident datasets), as well as (4) an approach and preliminary evaluation for relevance classification including active, incremental and online learning to reduce the amount of required labeled data and to correct misclassifications of the algorithm by feedback classification. Using the latter approach, we achieved a well-performing classifier based on the European floods dataset by only requiring a quarter of labeled data compared to the traditional batch learning approach. Despite a lesser effect on the BASF SE incident dataset, still a substantial improvement could be determined. 相似文献
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Despite heightened interest, integrating artificial intelligence (AI) into businesses remains challenging. Recent surveys show that up to 85 % of AI initiatives ultimately fail to deliver on their promises. Studies on successful AI applications that could provide invaluable lessons for organizations embarking on their AI journey are still lacking. Therefore, this study aims to understand how AI technology, people, and processes should be managed to successfully create value. Building on the resource orchestration perspective, this study analyzes the successful applications of AI at Alibaba's e-commerce fulfillment center. The findings indicate that the key AI resources include data, AI algorithms, and robots. These resources must be orchestrated (e.g., coordinated, leveraged, deployed) to work with other related resources, such as warehouse facilities and existing information systems, to generate strong AI capabilities. The key AI capabilities generated include forecasting, planning, and learning. More importantly, AI capabilities are not independent – they interact and coevolve with human capabilities to create business value in terms of efficiency (e.g., space optimization, labor productivity) and effectiveness (e.g., error reduction). The implications of understanding these social informatics of AI for research and practice are discussed. 相似文献
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本文研究企业的政策导向（分为鼓励导向和控制导向）对边界人员使用社交媒体行为的调节作用,并通过实证方法验证了社交媒体对企业影响的双面性。通过550家中国制造企业的调查数据的实证研究,我们发现（1）企业员工使用社交媒体进行更多的任务型和关系型交互行为均能够给企业带来更高的绩效,企业员工更多的任务型交互行为能够减少渠道成员的投机行为,但是更多的关系型交互行为则会导致渠道成员产生更多的投机行为;（2）企业的鼓励导向能够强化关系型交互行为与企业绩效之间的关系,而控制导向会弱化关系型交互行为与企业绩效之间的关系。（3）企业的鼓励导向能够分别强化任务型和关系型交互行为与投机行为之间的关系,控制导向能够弱化他们之间的关系。这些结论对理论研究和企业实际应用都有重要的意义。 相似文献
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Data-sharing is an essential tool for replication, validation and extension of empirical results. Using a hand-collected data set describing the data-sharing behaviour of 488 randomly selected empirical researchers, we provide evidence that most researchers in economics and management do not share their data voluntarily. We derive testable hypotheses based on the theoretical literature on information-sharing and relate data-sharing to observable characteristics of researchers. We find empirical support for the hypotheses that voluntary data-sharing significantly increases with (a) academic tenure, (b) the quality of researchers, (c) the share of published articles subject to a mandatory data-disclosure policy of journals, and (d) personal attitudes towards “open science” principles. On the basis of our empirical evidence, we discuss a set of policy recommendations. 相似文献
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《Information processing & management》2020,57(6):102315
In this work, we release a multi-domain and multi-modality event dataset (MMED), containing 25,052 textual news articles collected from hundreds of news media sites (e.g., Yahoo News, BBC News, etc.) and 75,884 image posts shared on Flickr by thousands of social media users. The articles contributed by professional journalists and the images shared by amateur users are annotated according to 410 real-world events, covering emergencies, natural disasters, sports, ceremonies, elections, protests, military intervention, economic crises, etc. The MMED dataset is collected by the following the principles of high relevance in supporting the application needs, a wide range of event types, non-ambiguity of the event labels, imbalanced event clusters, and difficulty discriminating the event labels. The dataset can stimulate innovative research on related challenging problems, such as (weakly aligned) cross-modal retrieval and cross-domain event discovery, inspire visual relation mining and reasoning, etc. For comparisons, 15 baselines for two scenarios have been quantitatively and qualitatively evaluated using the dataset. 相似文献
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Since an ever-increasing part of the population makes use of social media in their day-to-day lives, social media data is being analysed in many different disciplines. The social media analytics process involves four distinct steps, data discovery, collection, preparation, and analysis. While there is a great deal of literature on the challenges and difficulties involving specific data analysis methods, there hardly exists research on the stages of data discovery, collection, and preparation. To address this gap, we conducted an extended and structured literature analysis through which we identified challenges addressed and solutions proposed. The literature search revealed that the volume of data was most often cited as a challenge by researchers. In contrast, other categories have received less attention. Based on the results of the literature search, we discuss the most important challenges for researchers and present potential solutions. The findings are used to extend an existing framework on social media analytics. The article provides benefits for researchers and practitioners who wish to collect and analyse social media data. 相似文献
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Prior literature suggests that social media users are increasingly experiencing social media fatigue. Only recently have scholars undertaken empirical studies to investigate its antecedents and outcomes to better understand the impact of fatigue on social media users. To further this understanding, the present study has conducted a cross-sectional survey with 1552 users. The Stress-Strain-Outcome (SSO) theoretical framework is applied to examine if privacy concerns, self-disclosure, parental mediation strategies, and decrement in academic performance due to social media use correlate with social media fatigue. Two forms of fatigue are considered, namely, fatigue due to social networking site (SNS) and mobile instant messaging (MIM) use. The study results suggest that privacy concerns, self-disclosure, parental encouragement and worry significantly and positively correlate with SNS and MIM fatigue. Parental permission and parental monitoring are either not or lowly associated with fatigue. In addition to this, SNS and MIM fatigue positively correlated with the tendency to experience academic decrement due to social media use. The antecedents and consequences of social media fatigue were similar for SNS and MIM users. Moreover, students perceived their parents to be more open to their MIM use, and they had higher self-disclosure in MIM than in SNS. The study concludes with significant implications for practitioners, policy makers as well as service designers. 相似文献