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1.
从社会背景,民族特色及工业发展史等方面比较国内外CI的不同,从而正确认识及研究中国CI.提出中国型CI应该回归理性,回归系统化,应该是国际CI理论同中国企业的成功实践相结合的产物. 相似文献
2.
The number of social media users in Bangladesh is increasing in every year. Young people – mainly college and university students – are the heavy users of it. Problematic social media use (PSMU) has received increasing research attention over the past decade. However, there are very few studies concerning PSMU in Bangladesh. The present study examined the role of PSMU in the relationship between social avoidance/distress and self-esteem. The study comprised a sample of 370 university students from the University of Chittagong (Bangladesh). Participants were administered a survey including questions regarding socio-demographics, the Bergen Social Media Addiction Scale (BSMAS), the Rosenberg Self-Esteem Scale (RSES), and the Social Avoidance and Distress Scale (SADS). Results showed that PSMU partially mediated the relationship between social avoidance/distress and self-esteem, while social avoidance/distress predicted the level of self-esteem. However, PSMU had a non-significant influence on the relationship between these two variables while self-esteem predicted social avoidance/distress. 相似文献
3.
《工程(英文)》2018,4(2):218-223
Geotagging is the process of labeling data and information with geographical identification metadata, and text mining refers to the process of deriving information from text through data analytics. Geotagging and text mining are used to mine rich sources of social media data, such as video, website, text, and Quick Response (QR) code. They have been frequently used to model consumer behaviors and market trends. This study uses both techniques to understand the resilience of infrastructure in Chennai, India using data mined from the 2015 flood. This paper presents a conceptual study on the potential use of social media (Twitter in this case) to better understand infrastructure resiliency. Using feature-extraction techniques, the research team extracted Twitter data from tweets generated by the Chennai population during the flood. First, this study shows that these techniques are useful in identifying locations, defects, and failure intensities of infrastructure using the location metadata from geotags, words containing the locations, and the frequencies of tweets from each location. However, more efforts are needed to better utilize the texts generated from the tweets, including a better understanding of the cultural contexts of the words used in the tweets, the contexts of the words used to describe the incidents, and the least frequently used words. 相似文献
4.
This study analyzes uses of social networks by small and medium-sized enterprises (SMEs) at the Algarve region in Portugal. Results suggest that some firms have integrated their business strategies with social networks, and have groups of professionals responsible for these platforms. Most managers perceive that social networks enhance business performance, but few measure the results. Firms that most frequently use social networks have managers with higher qualifications. This study identified two types of social-network use: a) product–client interaction and knowledge/(re)search, and b) marketing potential. A complementary analysis (cluster analysis) identified three behavioral patterns with varying involvement with social networks. These patterns relate with types of use, suggesting a level of social media involvement/performance. Enhancing performance is likely related to knowledge-oriented social networks. This study also suggests an approach for measuring the gap between types of social network use-behavioral/performance patterns and the reality in successful firms, which would be useful to apply or transfer to other firms and communities. 相似文献
5.
Marie-Line Félonneau Elsa Causse Aymery Constant Benjamin Contrand Antoine Messiah Emmanuel Lagarde 《Accident; analysis and prevention》2013
In the field of driving, people tend to think they are more competent and more cautious than others. This is the superior conformity of the self (SCS). Our main hypothesis was that, among cyclists, women would show a higher SCS on cautiousness, though men would show a higher SCS concerning competence. 1799 cyclists provided a self-assessment of their own cautiousness and of other people's cautiousness. The same procedure was used for competence. Consistent with the hypothesis, the SCS was gender-specific: it was more prominent for women concerning cautiousness and more prominent for men concerning competence. These results could explain why people tend to ignore the safety campaigns. They also indicate the importance of adapting messages concerning safety measures to gender. 相似文献
6.
Web 2.0 applications and social media have transformed e-commerce into a new business paradigm, which is called social commerce. This development has changed the customers’ role and has empowered them by placing them in a unique position for influencing other buyers and providing guidance in purchasing decisions. Although a substantial amount of research has been conducted on customer behaviour, the understanding of the factors that influence customer engagement behaviour is limited, particularly in the social commerce context. This limitation is due to a lack of theoretical models for explaining such behaviour. In this study, the important factors that drive customer engagement on social commerce platforms are extracted from the literature. Drawing from social support theory, social presence theory, uses and gratifications theory, and the information system success model, we propose a new model for social commerce customer engagement. A survey-based empirical study with 203 respondents was conducted. The results demonstrated that customer engagement behaviour is strongly determined by social interaction, technological factors (interactivity and system quality), and motivational factors (hedonic and utilitarian motivations and perceived value). Among these factors, perceived value and social interaction had the most significant impacts on customer engagement behaviour on social commerce platforms. The theoretical and practical implications of the findings are discussed. 相似文献
7.
The current study provides preliminary insights into the disparity between older and younger adults in reciprocity in online social interaction. It also offers a synthesized conceptualization of different levels of online reciprocity that have been varyingly adopted in past research (e.g., presence of communicative response, matching of message length and quality). ANOVA and regression analyses of survey and behavioral data from 502 participants (304 college students and 198 older adults) revealed that, compared to the college student sample, the older adult sample self-reported their online reciprocity as lower and was less likely to reciprocate a stimulus email. Ability to use communication technology predicted all types and measures of online reciprocity and mediated the relationship between age group and online reciprocity. Implications of the findings are discussed in connection to the phenomenon of digital inequality. 相似文献
8.
The growing resistance to social media is not a unique story. The telephone, which today is embraced almost completely, was a matter of concern for many. Most people that resisted the phone had privacy concerns and seemed to have intuited the breakdown between distinct spaces like established private space and public space as a threat to psychological integrity. By zooming in on the particular concerns people had at the dawn of the telephone's birth and its early development new light can be shed on the contemporary discussion surrounding social media today. 相似文献
9.
Compared with survey polls, social media can yield a better and more comprehensive understanding of public perceptions of special topics in a more scientific manner. However, despite this advantage, there seem to be limited investigations into the challenges in social media-based public opinion analysis. This study offers an understanding of the challenges in this field and some corresponding recommendations. Through a systematic literature review, we identify 54 papers to analyze and discuss issues related to data collection, data quality, and data mining. This paper summarizes a framework for social media-based public opinion analysis as well as the commonly employed data mining methodologies. We found that collecting public opinion data from Facebook and Weibo is difficult because of their restricted application programming interface and measures against Web Crawler. How to effectively and conveniently delete invalid data and how to design data mining methods for social media data, especially for those in Chinese, are still two main challenges in social media-based public opinion analysis. We claim that using multiple data sources, optimizing keyword settings, enhancing interdisciplinary cooperation, and paying more attention to the functional role of social media can benefit the development of social media-based public opinion analysis. This study also highlights the potential risks of releasing the personal information of the public in the use of social media data in research. 相似文献
10.
PurposeUsers on Social Media (SM) platforms make many decisions related to content sharing, such as whether to create or reuse content, whether to label for easy access by an interest group or not, and whether to disseminate to targeted individuals or broadcast to general audiences. In this study, we investigated if these content-related strategies on SM, called social media knowledge sharing behaviors, are determined by user characteristics.MethodologyUsing concepts from Self-Motivation Theory and the Affordance Theory, we examined if the knowledge sharing behaviors are influenced or correlated with user characteristics, such as the intensity of engagement on SM, a strong preference attitude for a SM platform, and multiple functional intentions for using SM. Based on this survey study of one hundred and twenty-three subjects, we developed hierarchical regression analyses to test if the SM user's knowledge decisions (Creation, Framing and Targeting) are corelated with the user's online usage intensity, their SM online platform preferences, and their functional intentions (Intensity, Preferences and Functionality). We complemented the regression models with a more comprehensive path analysis for an integrative hypothesis testing.FindingsThe main findings show that knowledge creation and knowledge targeting behaviors were correlated with multiple functional intentions (or needs) of users, meaning that users who utilized SM in order to fulfill many needs create and broadcast knowledge more than users that utilized SM in order to fulfill fewer needs.OriginalityThe study investigates the relationship between detailed knowledge sharing behaviors afforded by the social media tools and different user self-determination factors, such as intensity, preference and needs. This study further describes the attributes of social media sharing as a bundle of content sharing strategies of creation, sharing and targeting, which are used differently based on different user characteristics and motivations. 相似文献
11.
Social media marketing is an essential and important tool for start-up firms, which can help start-up firms remedy the marketing limitations through ease and relatively low costs. Predicting start-up firms’ social media engagement level can allow them to gauge the effectiveness of their social media marketing efforts and can provide numerous benefits related to strategic marketing processes. This study focuses on developing a methodology involving data science processes and machine learning models to account for the ongoing advancement of business intelligence methodologies. This study gathered data of 8,434 start-up firms from Twitter, generated social media-based features, and created machine learning models to predict the social media engagement level of each firm. The results show that deep learning provides the best accuracy in predicting the engagement levels. The results also show that the number of tweets by the firms, the number of retweets received, and the number of likes received have the most significance in determining the effectiveness of social media marketing activities. 相似文献
12.
Mesfer Al Duhayyim Heba G. Mohamed Saud S. Alotaibi Hany Mahgoub Abdullah Mohamed Abdelwahed Motwakel Abu Sarwar Zamani Mohamed I. Eldesouki 《计算机、材料和连续体(英文)》2022,73(3):5011-5024
Cyberbullying (CB) is a challenging issue in social media and it becomes important to effectively identify the occurrence of CB. The recently developed deep learning (DL) models pave the way to design CB classifier models with maximum performance. At the same time, optimal hyperparameter tuning process plays a vital role to enhance overall results. This study introduces a Teacher Learning Genetic Optimization with Deep Learning Enabled Cyberbullying Classification (TLGODL-CBC) model in Social Media. The proposed TLGODL-CBC model intends to identify the existence and non-existence of CB in social media context. Initially, the input data is cleaned and pre-processed to make it compatible for further processing. Followed by, independent recurrent autoencoder (IRAE) model is utilized for the recognition and classification of CBs. Finally, the TLGO algorithm is used to optimally adjust the parameters related to the IRAE model and shows the novelty of the work. To assuring the improved outcomes of the TLGODL-CBC approach, a wide range of simulations are executed and the outcomes are investigated under several aspects. The simulation outcomes make sure the improvements of the TLGODL-CBC model over recent approaches. 相似文献
13.
Public Service Broadcasting (PSB) is generally characterized by a remit to provide high-quality news, educational content, cultural enrichment and entertainment as free public goods with as broad a public reach as possible while also filling critical gaps in the media ecosystem (a multifaceted principle called universality). However, in the current online environment, the ability to reach audiences is increasingly intermediated by online platforms managed by powerful technology companies who do not necessarily share the same objectives or values as PSBs. Interviews were conducted with PSB executives and managers working on digital products and strategy in the U.K. and U.S. to examine the challenges and tensions PSB entities face in the context of growing commercial platform power and the strategies emerging in response, such as investing in new platforms and digital infrastructures rooted in traditional public service values. The study also discusses differences in capacities to respond to platform power between the decentralized U.S. PSB system and centralized U.K. system. Finally, the study discusses some theoretical and practical implications, and suggests some ways PSB services might survive and thrive with robust fidelity to democratic needs. 相似文献
14.
Wadhah Mohammed M. Aqlan Ghassan Ahmed Ali Khairan Rajab Adel Rajab Asadullah Shaikh Fekry Olayah Shehab Abdulhabib Saeed Alzaeemi Kim Gaik Tay Mohd Adib Omar Ernest Mangantig 《计算机、材料和连续体(英文)》2023,76(1):665-686
Thalassemia syndrome is a genetic blood disorder induced by thereduction of normal hemoglobin production, resulting in a drop in the size ofred blood cells. In severe forms, it can lead to death. This genetic disorderhas posed a major burden on public health wherein patients with severethalassemia need periodic therapy of iron chelation and blood transfusionfor survival. Therefore, controlling thalassemia is extremely important and ismade by promoting screening to the general population, particularly amongthalassemia carriers. Today Twitter is one of the most influential social mediaplatforms for sharing opinions and discussing different topics like people’shealth conditions and major public health affairs. Exploring individuals’sentiments in these tweets helps the research centers to formulate strategies to promote thalassemia screening to the public. An effective Lexiconbased approach has been introduced in this study by highlighting a classifiercalled valence aware dictionary for sentiment reasoning (VADER). In thisstudy applied twitter intelligence tool (TWINT), Natural Language Toolkit(NLTK), and VADER constitute the three main tools. VADER represents agold-standard sentiment lexicon, which is basically tailored to attitudes thatare communicated by using social media. The contribution of this study isto introduce an effective Lexicon-based approach by highlighting a classifiercalled VADER to analyze the sentiment of the general population, particularlyamong thalassemia carriers on the social media platform Twitter. In thisstudy, the results showed that the proposed approach achieved 0.829, 0.816,and 0.818 regarding precision, recall, together with F-score, respectively. Thetweets were crawled using the search keywords, “thalassemia screening,”thalassemia test, “and thalassemia diagnosis”. Finally, results showed thatIndia and Pakistan ranked the highest in mentions in tweets by the public’sconversations on thalassemia screening with 181 and 164 tweets, respectively. 相似文献
15.
Social media have expanded citizens’ political repertoires with new modes of action. To measure these changing political practices, a new instrument, called the Social Media Political Participation Scale was developed and psychometrically tested. The instrument aims to capture both active, expressive forms of political action through social media as well as cognitive political social media use (e.g., sharing posts versus information seeking and acquiring). Based on a literature review and the recommendations of an expert panel, an item pool was generated. The second phase consisted of a questionnaire completed by 595 teenagers. The construct validity was assessed using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), as well as convergent validity and internal consistency. The analyses revealed four theoretically grounded constructs measured with 21 items: latent engagement, follower engagement, expressive engagement and counter engagement. As a validated instrument, the Social Media Political Participation Scale allows future research to gain a more profound insight into who is politically engaged and why, as well as how digital technologies are embedded in diverse forms of political action. 相似文献
16.
Internet and social media addictions continue to grow as our dependence on technology increases. Estimates posit that over 210 million people worldwide suffer from this. Given its influence on users, reducing these addictions are of importance. Previous research demonstrates the importance of emotional states in affecting addiction behaviors. Through the Cognitive-Behavioral Model of Pathological Internet Usage, the role of life satisfaction in reducing both generalized Internet addiction and social media addiction is explored. Additionally, how happiness and stress affect these addictions through life satisfaction is examined. Results show that life satisfaction has significant effects on both generalized Internet addiction and the specific addiction to social media. For addicted individuals, there may be deep-rooted issues in their lives, lowering their satisfaction and driving their continued or increased addictions to Internet technologies. 相似文献
17.
Social media plays an increasingly prominent role in the interaction between impact assessments and society. Impact assessment is thus becoming part of social networks that are claimed to be able to improve interaction between actors in impact assessment processes. By investigating the use of social media in impact assessment and planning processes of national linear infrastructure development, we explore how social media impinge on participatory practices and how the potential of social media is realized in the current use related to public participation processes. The study focuses on experiences among national developers working in road, rail, electricity, gas, and metro infrastructures in Denmark. The article shows that the current use of social media in public participatory practices is limited to branding and on-way communication and that the increasing use of social media in linear infrastructure planning gives rise to a variety of concerns among developers that are related to especially organizational cultures, perception of the target groups, and prioritization of resources. 相似文献
18.
本研究通过公共物品两难的实验范式,探讨了个体因素和情境因素对责任感的影响以及责任感和亲社会行为的关系。结果发现:(1)道德身份中心度高的人在两种行为目的下都比道德身份中心度低的人责任感高;(2)经历他人合作的人在两种行为目的下都比经历他人不合作的人责任感高;(3)启动的效果则是在非经济目的下显著,在经济目的下不显著;(4)道德身份中心度和启动在两种框架下对责任感存在交互作用;道德身份中心度和他人行为则只在经济目的下对责任感存在交互作用;(5)人们在非经济目的下的责任感高要高于在经济目的下的责任感;(6)责任感和亲社会行为的相关显著。本研究显示了责任感不完全是静态的个体变量,而是和具体情境交互影响的。同时,责任感的唤起很可能是个体和情境因素影响亲社会行为的心理机制。 相似文献
19.
Background
Compliance with safety behaviors is often associated with longer term benefits, but may require some short-term sacrifices. This study examines the extent to which consideration of future safety consequences (CFSC) predicts employee safety outcomes.Methods
Two field studies were conducted to evaluate the reliability and validity of the newly developed Consideration of Future Safety Consequences (CFSC) scale. Surveys containing the CFSC scale and other measures of safety attitudes, behaviors, and outcomes were administered during working hours to a sample of 128 pulp and paper mill employees; after revising the CFSC scale based on these initial results, follow-up survey data were collected in a second sample of 212 copper miners.Results
In Study I, CFSC was predictive of employee safety knowledge and motivation, compliance, safety citizenship behaviors, accident reporting attitudes and behaviors, and workplace injuries – even after accounting for conscientiousness and demographic variables. Moreover, the effects of CFSC on the variables generally appear to be direct, as opposed to mediated by safety knowledge or motivation. These findings were largely replicated in Study II.Conclusions
CFSC appears to be an important personality construct that may predict those individuals who are more likely to comply with safety rules and have more positive safety outcomes. Future research should examine the longitudinal stability of CFSC to determine the extent to which this construct is a stable trait, rather than a safety attitude amenable to change over time or following an intervention. 相似文献20.
Workplace violence against healthcare workers has been a major social problem in many countries. A misunderstanding between patients and physicians is the primary cause of violence . The recent rise of social media offered a new communication channel between the government and the public. This study aims to explore and examine the use of social media to improve public perception about the medical workplace violence by considering a recently issued policy in China. We collected 12,250 posts before, during and after the implementation of the policy from Weibo, which is similar to Twitter. Sentiment classification and topic clustering methods were used to analyze the data. One-way ANOVA was applied to assess the changes of public sentiments over time. Results showed that the proportion of posts with negative sentiment statistically significantly decreased after the release of the policy, indicating the effectiveness of social media in improving public perception about the medical workplace violence, to a large extent. Topic clustering results regarding the policy showed that most people supported the policy. However, some believe that punishment measures contained in the policy need to be strengthened and that more attention should be paid to the hospitals and medical staffs, as well as how to effectively protect the interests of patients. Based on these findings, we suggested government to effectively and scientifically use social media to address medical workplace violence from the perspective of the public and further consider its causes in terms of both patients and medical staffs, and building an expert witness system seems to be helpful. Measures for guaranteeing the safety of medical staffs should be built by comprehensively evaluating the potential risk. These results can help governments increase the engagement of their citizens. 相似文献