共查询到20条相似文献，搜索用时 31 毫秒
1.
2.
Social commerce refers to an extension of e-commerce sites, integrated with social media and Web 2.0 technology to encourage online purchases and interactions with customers before, during, and after the purchase. As the country with the largest e-commerce market in Southeast Asia and many active social media users, Indonesia has many opportunities to implement successful social commerce. Since customers are the primary focus in social commerce, repurchase and word-of-mouth (WOM) intentions have been considered as significant behavioural intentions after a customer completes a purchase. Thus, this study aims to identify factors that affect customers’ repurchase and WOM intentions. A total of 421 sets of survey data were gathered from social commerce customers in Indonesia and analysed using the partial least squares approach. The results indicate that repurchase and WOM intentions are positively affected by trust and satisfaction, where both trust and satisfaction are positively affected by reputation and information quality. The results provide theoretical and practical implications for future social commerce research and practical implications for social commerce firms. 相似文献
3.
碳中和是关系到解决全球环境问题、促进国家经济发展、推动社会可持续发展的重要议题。本文以1991—2021年间Web of Science和中国知网数据库收录的7192篇国际学者发表的英文文献、3778篇中国学者发表的中英文文献为研究对象,运用信息可视化软件CiteSpace,从时间分布、空间分布、研究热点冲积图、关键词共现图谱、关键词聚类图谱等方面,揭示了国内外碳中和研究现状与发展趋势。结果表明：①从时间脉络上看,国内外碳中和演进分为3个阶段：萌芽期（1991—2006年）、发展期（2007—2014年）和繁盛期（2015—2021年）;进入21世纪后,国内外碳中和发文量均呈现快速增长趋势,2021年中国碳中和研究爆发式增长,年发文量超1500篇。②从空间分布上看,碳中和研究地区和研究机构呈现多极化发展趋势,美国、中国和英国等国家发文量较高,主要以高校和研究所为主。③从研究热点上看,围绕基础研究与动态监测评价、技术研发与应用、政策设计与路线图3 个重大科学问题,碳中和研究主要从碳足迹、能源、碳捕获与封存技术、生命周期评价、碳交易市场和全球治理等热点展开。④从关键词聚类上看,碳中和相关研究可以从个体、行业、国家3个层面聚类成4个主题：个体碳中和态度与行为、碳中和技术、碳市场与碳金融体系、政策引导与全球治理。本文对每个主题的内涵和研究进展进行梳理,总结出碳中和的研究热点与演进趋势,为中国实现碳中和目标提供理论参考。 相似文献
4.
Gerald Petz Michał Karpowicz Harald Fürschuß Andreas Auinger Václav Stříteský Andreas Holzinger 《Information processing & management》2014
The emerging research area of opinion mining deals with computational methods in order to find, extract and systematically analyze people’s opinions, attitudes and emotions towards certain topics. While providing interesting market research information, the user generated content existing on the Web 2.0 presents numerous challenges regarding systematic analysis, the differences and unique characteristics of the various social media channels being one of them. This article reports on the determination of such particularities, and deduces their impact on text preprocessing and opinion mining algorithms. The effectiveness of different algorithms is evaluated in order to determine their applicability to the various social media channels. Our research shows that text preprocessing algorithms are mandatory for mining opinions on the Web 2.0 and that part of these algorithms are sensitive to errors and mistakes contained in the user generated content. 相似文献
5.
Perceived critical mass and collective intention in social media-supported small group communication
Xiao-Liang Shen Christy M.K. Cheung Matthew K.O. Lee 《International Journal of Information Management》2013
The increasing popularity of Web 2.0 has dramatically changed the way in which people communicate with others in their daily life or work. However, the use of social media is fundamentally different from that of traditional information technologies. Specifically, it requires collective efforts and interdependence between two or more people, and thus the usage behavior is no longer an individual's own decision or plan. Built on critical mass theory and social influence processes, this study tries to make an attempt to understand the determinants of collective intention (we-intention), which represents one's perception of a group of people acting as a unit. Instant messaging, one of the most popular social media platforms, has been chosen for investigation, and findings from a survey showed that perceived critical mass influenced we-intention both directly and indirectly through group norm and social identity. Recognizing the importance and relevance of collective intention will advance current understanding beyond individual intention-based models which are widely adopted in prior IS research. This study may be limited by having not included other alternative social technologies, but we leave this work for future research. 相似文献
6.
《International Journal of Information Management》2017,37(3):214-228
Service failure apologies on social media are a new crisis communication outlet trend used by companies to apologise to affected customers quickly and offer solutions, ultimately to restore customers' trust and brand loyalty. This paper contributes to the nascent literature on companies' social media service failure apologies and fills a gap in the social commerce literature by recognising that due to the open and public nature of social media, these apologies may reach not just affected customers, but also unintended audiences such as potential customers among the general public, which could potentially damage a company's reputation and market share. An online survey administered to 241 customers and 271 non-customers of a famous mobile phone brand, which used YouTube to apologise to its customers for a service failure incident, is used to explore potential behavioural outcomes, after exposure to the apology. Findings confirm that both customers and non-customers of the service provider may become exposed to a social media service failure apology. The hypothesised model predicts behavioural intentions to remain a customer after exposure to the social media service apology better than behavioural intentions to become a customer, even though relationships hold for both groups. Theoretical and managerial implications are discussed. 相似文献
7.
The rise of social media has created a new e-commerce platform called social commerce. In social commerce, e-vendors such as Amazon may integrate social media with their traditional e-commerce sites. Based on self-determination theory and social commerce literature, we develop a model illustrating how social commerce features may impact consumer behaviors and facilitate social commerce benefits from the extrinsic motivation perspective. We identify four types of extrinsic motivation including external motivation, introjected motivation, identified motivation, and integrated motivation; and we examine their influences on consumers’ intention to contribute social commerce information, which in turn leads to their subsequent behaviors and increases the perceived benefit of social commerce. We also consider the moderating effect of gender in the formulation of social commerce benefits. Based on longitudinal survey data from Amazon consumers, we find that 1) consumers’ external and identified motivation has a positive impact on intention to contribute social commerce information; 2) consumers’ intention is positively associated with their future behaviors, which in turn facilitate their perceptions of social commerce benefits; and 3) gender moderates the impact of behavior on social commerce benefits. 相似文献
8.
《International Journal of Information Management》2017,37(3):202-213
Due to the proliferation of Web 2.0 technology, e-commerce has evolved into social commerce. In this social commerce era, consumers are increasingly dependent on each other and look for social support (informational and emotional) online even before making purchases. This study examines the content of consumer reviews, a fundamental construct of social commerce. Topics expressed in consumer reviews (collected from Amazon.com) are explored using a machine learning technique (i.e. latent semantic analysis). This study documents the thematic differences between positive and negative reviews and finds that negative reviews report service-related failures while positive reviews relate more to the product, among other things. Next, the informational support aspect of social commerce is explored by identifying the topics expressed in reviews that are helpful in purchase decisions. The findings demonstrate that potential customers (i.e. those who would like to purchase a product in the near future and currently are reading reviews with the intention to decide whether or not to buy that product) find the negative reviews containing service failure information and the positive reviews containing information on core functionalities, technical aspects, and aesthetics to be more helpful. Theoretical and managerial implications are discussed. 相似文献
9.
《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
10.
11.
The impact of research work is related to a scholar's reputation and future promotions. Greater research impact not only inspires scholars to continue their research, but also increases the possibility of a larger research budget from sponsors. Given the importance of research impact, this study proposes that utilizing social capital embedded in a social structure is an effective way to achieve more research impact. The contribution of this study is to define six indicators of social capital (degree centrality, closeness centrality, betweenness centrality, prolific co-author count, team exploration, and publishing tenure) and investigate how these indicators interact and affect citations for publications. A total of 137 Information Systems scholars from the Social Science Citation Index database were selected to test the hypothesized relationships. The results show that betweenness centrality plays the most important role in taking advantage of non-redundant resources in a co-authorship network, thereby significantly affecting citations for publications. In addition, we found that prolific co-author count, team exploration, and publishing tenure all have indirect effects on citation count. Specifically, co-authoring with prolific scholars helps researchers develop centralities and, in turn, generate higher numbers of citations. Researchers with longer publishing tenure tend to have higher degree centrality. When they collaborate more with different scholars, they achieve more closeness and betweenness centralities, but risk being distrusted by prolific scholars and losing chances to co-author with them. Finally, implications of findings and recommendations for future research are discussed. 相似文献
12.
A considerable number of contributions at the intersection of social media platforms and social entrepreneurship has been witnessed over the past decade. The multi-disciplinary nature of current literature necessitates integrative insights on the topic. We thus undertake a two-pronged approach – bibliometric analysis followed by systematic review – to map the extant literature in a structured, objective, and quantitative way. We contribute to the literature as we (i) offer a classification of the literature in three clusters, namely ‘social media platforms, social collaboration and social marketing’, ‘social media platforms and crowdfunding, and ‘social media platforms and crowdsourcing’; (ii) analyze recent research development in each cluster, methodological development, countries co-authorship and evolution of research in the area; and (iii) propose a conceptual framework -accompanied by research propositions- that provides an overview of the literature at the intersection of social media platforms, various social entrepreneurial practices and their influence on the social enterprise performance. Our review culminates with numerous impactful research avenues for scholarly progression in the area. From a practical standpoint, this review integrates scattered findings into one body, allowing the practitioners and policymakers to discern the role of social media platforms in dealing with emerging societal problems and increasing operational efficiencies of social enterprises (SEs). To the best of our knowledge, this is the first review of its kind, offering unique perspectives at the nexus of social media platforms and SE’s performance. 相似文献
13.
The advent of social commerce has resulted in a new business model for e-commerce. Although studies on this business model have increased over time, they have paid less attention to its core business model: consumer-generated social influence on sales on a social commerce site. Therefore, in this paper, we examine the effect on sales of social sharing, such as Facebook “likes” and Twitter tweets, which generate social influence, using data from major social commerce companies. We find that consumer-generated social referrals regarding deals significantly boost sales in social commerce. When we examine deals involved in national sales, this finding holds only for Facebook but not for tweets. These findings have the implication for managers that not all social referrals are meaningful in increasing sales for their business. 相似文献
14.
Social commerce is becoming an important hub for product sourcing, which helps companies to connect with customers and to gain competitive advantages. However, very little empirical research that focuses on small-and medium-sized enterprises (SMEs) has been conducted to date. This study examines factors that affect social commerce adoption by SMEs. Using the Technology-Organisation-Environment (TOE) as the theoretical framework, the researchers tested the model and related hypotheses, employing structural equation modelling. The results from a survey of 181 SMEs in Saudi Arabia indicate that trading partner pressure in the environmental context, followed by top management support in the organisational context, and perceived usefulness in the technological context, have the most significant influence on behavioural intention to use social commerce. The research contributions and conclusion as well as limitations and future research directions are presented. 相似文献
15.
《Information processing & management》2022,59(6):103110
The research on studying exploration-exploitation behavior in topic choice has consistently been the focus of a great deal of attention. In this study, we propose five novel research strategies under exploration and exploitation based on the general but significant features of topics, and present a series of metrics to quantify and identify these strategies. We analyze the relationship between scientists’ research performance (i.e., productivity and impact) and their preference for different strategies, and examine the evolution of their preference in scientific careers through comprehensive statistical analysis. We employ a MAG dataset as our data source, and select about 30 million scientists from the computer science filed and their publications as our analysis objects. Our empirical analysis shows that productive and impactful scientists tend to follow academic frontiers, study diverse topics, explore emerging topics and combinatorial innovation, but exploit mature topics less often. We also figure out the potential reasons for the phenomenon. In addition, we find that successful scientists prefer to execute exploratory research strategies from the beginning of their career, and young scientists seem to be more creative. Our research may help researchers deeply understand topic selection behavior, and therefore provide enlightenment for training scientists and give advice for funding allocation as well as research and development policy formulation. 相似文献
16.
《Information processing & management》2020,57(6):102279
Evidently, online voice of customers (VoC) expressed in social media has emerged as quality data for researchers who are willing to conduct customer-driven business intelligence (BI) research. Nevertheless, to the best of authors’ knowledge, there is still a dearth of studies that deal with such remarkable research stream and address various open data (e.g., social media, intellectual property) from a BI research perspective. Therefore, this study has attempted to evaluate the applicability of social media data in BI research and provide a systematic review on the primary research articles in the domain. This study compared social media data with the other open data (e.g., gray literature, public government data) in terms of data content, collection, updatability and structure, which are determined through a thorough discussion with experts. Next, this study selected 57 social media-based BI research articles from the Web of Science (WoS) database and analyzed them with three research questions about the data, methodologies, and results to understand this research domain. Our findings are expected to inform the existing researchers in the research domain about the future research directions, enable newcomers to understand the overall process of analyzing social media data, and provide the practitioners with social media analysis approaches suitable for their environment. 相似文献
17.
《International Journal of Information Management》2016,36(3):425-432
Social commerce has evolved quickly in practice and gained attention in the IS discipline. However, trust has remained a vital component and is dominantly worth investigating. The purpose of this study, therefore, is to examine the roles of social commerce constructs and social support constructs (i.e., emotional support and informational support) in establishing trust on online community platforms. The study will apply the theoretical foundation of social commerce constructs proposed by Hajli. In order to provide a detailed understanding of the proposed model, a quantitative study involving a survey data gathered from online communities in Malaysia, including Facebook, Trip Advisor and LinkedIn was conducted. The data was analyzed and hypotheses were tested with structural equation modeling (SEM). Our results shed some lights on social commerce literature. The findings show that there are significant effect of social commerce constructs on social support, namely the emotional and informational support, and in turn, on trust- building. 相似文献
18.
19.
20.