Social interaction plays a central role in effectuation processes, yet we know little about the implications for effectuation when an entrepreneur interacts via particular channels such as social ...media. To address this gap, our paper uses an inductive, theory-building methodology to develop propositions regarding how effectuation processes are impacted when entrepreneurs adopt Twitter. Twitter is a microblogging platform that can facilitate a marked increase in interaction. We posit that Twitter-based interaction can trigger effectual cognitions, but that high levels of interaction via this medium can lead to effectual churn. We also posit that there is one factor, perceived time affordability, that predicts the level of social interaction in which an entrepreneur engages via Twitter. Further, we propose two factors that moderate the consequences of social interaction through Twitter. These factors are community orientation and community norm adherence. Implications for our understanding of effectuation, of social interaction, and of the impact of social media on entrepreneurial firms are discussed.
This paper explores the implicit assumption in the growing body of literature that social media usage is fundamentally different in business-to-business (B2B) companies than in the extant ...business-to-consumer (B2C) literature. Sashi's (2012) customer engagement cycle is utilized to compare organizational practices in relation to social media marketing in B2B, B2C, Mixed B2B/B2C and B2B2C business models. Utilizing 449 responses to an exploratory panel based survey instrument, we clearly identify differences in social media usage and its perceived importance as a communications channel. In particular we identify distinct differences in the relationship between social media importance and the perceived effectiveness of social media marketing across business models. Our results indicate that B2B social media usage is distinct from B2C, Mixed and B2B2C business model approaches. Specifically B2B organizational members perceive social media to have a lower overall effectiveness as a channel and identify it as less important for relationship oriented usage than other business models.
•B2B use social media in different ways to B2C, Mixed B2B/B2C, and B2B2C.•B2B consider social media less important in customer relationship oriented activities than other business models.•Those who consider social media an important channel find it effective in all stages of the customer engagement cycle.•B2B perceive social media as a less effective marketing channel.•B2B see similar importance for customer acquisition orientated activities.
The outbreak of COVID-19 has greatly affected university students' studies and life. This study aimed to examine the possible mediating role of psychological capital and the moderating role of ...academic burnout in the relationship between problematic social media usage and anxiety among university students during COVID-19. A total of 3,123 undergraduates from universities in Shanghai participated in an online survey from March to April 2020. The results showed that problematic social media usage among university students predicted their levels of anxiety. Mediation analysis indicated that psychological capital mediated the relationship between problematic social media usage and anxiety. Furthermore, for university students whose academic performance had been affected by the COVID-19 pandemic, the effects of both problematic social media usage and the psychological capital on anxiety were moderated by academic burnout. For university students whose academic performance was not affected by the COVID-19 pandemic, academic burnout moderated the effects of psychological capital but not the effects of problematic social media usage on anxiety. The results highlighted the underlying mechanisms in the relationship between problematic social media usage and anxiety. These findings provide practical insights into the development and implementation of psychological interventions when facing a pandemic.
Social media has created networked communication channels that facilitate interactions and allow information to proliferate within professional academic communities as well as in informal social ...circumstances. A significant contemporary discussion in the field of science communication is how scientists are using (or might use) social media to communicate their research. This includes the role of social media in facilitating the exchange of knowledge internally within and among scientific communities, as well as externally for outreach to engage the public. This study investigates how a surveyed sample of 587 scientists from a variety of academic disciplines, but predominantly the academic life sciences, use social media to communicate internally and externally. Our results demonstrate that while social media usage has yet to be widely adopted, scientists in a variety of disciplines use these platforms to exchange scientific knowledge, generally via either Twitter, Facebook, LinkedIn, or blogs. Despite the low frequency of use, our work evidences that scientists perceive numerous potential advantages to using social media in the workplace. Our data provides a baseline from which to assess future trends in social media use within the science academy.
Purpose : This research is intended to identify and analyse the underlying factors in the adoption of social media among agriculturists in South India.
Theoretical Framework: Marketing through social ...media such as Whatsapp, Facebook and YouTube, particularly in India, is not well understood due to the lack of research in agricultural marketing. This paper bridges the research gap by applying the Theory of Planned Behaviour (TPB) and TAM.
Design/ Methodology/Approach: A structured questionnaire is adopted for data collection. Primary data was collected from 320 agriculturalists in Tamilnadu, South India.
Findings: Multiple regression is used to test the significance of the research model. It demonstrates that the perceived credibility, reference group, infotainment, and perceived usefulness had a significant positive impact on the adoption of social media marketing. At the same time, perceived ease of use has a negative effect on attitude towards the adoption of social media marketing.
Research, Practical & Social Implications: The implication drawn from this study helps the researchers and agriculturalists use social media to increase farm product marketability.
Originality/ Value: This research adds value to the agricultural marketing literature by exploring the novel determinants of the adoption of social media.
•The participants reported the reasons of sharenting as “Collecting Memories”, “Affectivity”, “Staying in Communication”, “Approval/Being Liked”, “Providing Benefit with Followers”, ...“Follower/Relatives Response”, and “Change in Routine”.•The theme focuses on the content of the sharing made by parents, and is constituted of such sub-themes as “Educational Activities”, “Family Activities”, and “Special Days/National/Religious Holidays” emerged.•Instagram, Facebook, Twitter, and WhatsApp applications stand out as social media platforms where parent sharing actions take place.•When mothers posted, they reported effects such as “Increased Social Media Use”, “Evil Eye Anxiety”, “Positive Affect”, “Feeling of Being a Good Woman/Good Parent”, “Addiction”, “Wondering about Others”, and “Temporary Happiness”.•It is seen that there are findings under the theme of “criteria of mothers’ sharing experiences”, under which there is the sub-theme of “Security” also having the sub-themes of “Account Confidentiality” and “Privacy”. Another sub-theme of “the sharing criteria” theme is “Child’s State”, and under this sub-theme there are the categories of “Approval”, “Positive Mood”, “Appearance”, and “Development Period/Age” that come to the fore.•While it was found in this research that some participants acted consciously and cared about the issues of “Respect for the Child” and “Self-Control”.
The rapid changes in the field of technology have made the use of social media one of the routines in the life of the individual. This behaviour of parents who share information about their children with pictures, videos, stories, and status updates on social networks such as Instagram, Facebook, Twitter and WhatsApp is defined as “Sharenting”. Parents sharing information about their children on social media brings with it many risks. Children who do not realise the possible risks due to their age are abused by their primary caregivers. Understanding the experience of Sharenting, which is seen as a present danger to children, motivated the researchers to conduct this research. From this point of view, the aim of this research is to understand the reasons and effects of social media sharing of parents about their children. In this study, which was carried out in the phenomenological design of the qualitative research method, twelve participants were reached with the snowball sampling method. The data collected from the participants were obtained with a semi-structured interview form developed by the researchers. The semi-structured interview form consisted of nine open-ended questions, each of which was aimed at understanding the sharenting phenomenon. Within the scope of the research, online interviews were conducted with each participant with ZOOM Meeting, which lasted an average of 40 min. The interviews with the participants were transcribed. The obtained data were subjected to content analysis independently by three researchers who conducted the research. Afterwards, the research team evaluated the themes and categories determined by each researcher and finalised the findings. As a result, it was seen that the sharing experiences of the participants were gathered under six different themes. These themes were determined as sharenting “reasons”, “actions”, “platforms”, “effects”, “criteria”, and “awareness”. The reasons for sharenting of the participants were determined as “Collecting Memories”, “Affectivity”, “Staying in Communication”, “Approval/Being Liked”, “Providing Benefit with Followers”, “Followers/Relatives Reaction”, and “Change in Routine”. When the participants shared, “Increased Social Media Use”, “Evil Eye Anxiety”, “Positive Affect”, “The Feeling of Being a Good Woman/Good Parent”, “Addiction”, “Wondering About Others”, “Temporary Happiness”, and “Neutral Effect” effects were found. In the absence of sharing, the effects of “Neutral Effect”, “Impulse to Share”, and “Feeling Inadequate” were determined. The findings are presented by giving exemplary quotations for each theme.
Abstract This qualitative study examined descriptions of social media use among 23 adolescents (18 female, 5 male) who were diagnosed with depression to explore how social media use may influence and ...be influenced by psychological distress. Adolescents described both positive and negative use of social media. Positive use included searching for positive content (i.e. for entertainment, humor, content creation) or for social connection. Negative use included sharing risky behaviors, cyberbullying, and for making self-denigrating comparisons with others. Adolescents described three types of use in further detail including “oversharing” (sharing updates at a high frequency or too much personal information), “stressed posting” (sharing negative updates with a social network), and encountering “triggering posts.” In the context of treatment, these adolescents shifted their social media use patterns from what they perceived as negative to more positive use. Implications for clinicians counseling depressed adolescents on social media use are discussed.
The near‐ubiquitous use of smartphones and the rapid emergence of free, widely used, social media platforms have combined to turbocharge the dissemination of information at a scale and speed that ...would have been unimaginable just a few years ago. Increasingly, internet‐savvy pathologists of all ages from every corner of the world are flipping the paradigm of traditional academia by posting educational content online free of charge, unencumbered by the limitations of traditional print media and educational conferences. These platforms are being used in innovative ways, not just to disseminate research findings, but also to create new knowledge through using them to empower research collaborations. In this review, we outline ways in which social media platforms, such as Twitter, Facebook, and YouTube, are being used by pathologists to enhance academic work and facilitate the dissemination of research. We outline key differences between the various platforms with respect to pathology academics and research, and describe key areas in which these platforms have already made an impact. These include rapid dissemination of research findings to a worldwide audience, live transnational discussion of journal articles and conference proceedings, intercontinental networking between pathologists for academic purposes, free education on a global scale at minimal or no cost, and research collaborations initiated on and facilitated by social media platforms. Finally, we provide practical tips for pathologists who wish to adopt these novel 21st‐century technologies to enhance their academic endeavours.
Along with the development of the Internet, the emergence and widespread adoption of the social media concept have changed the way news is formed and published. News has become faster, less costly ...and easily accessible with social media. This change has come along with some disadvantages as well. In particular, beguiling content, such as fake news made by social media users, is becoming increasingly dangerous. The fake news problem, despite being introduced for the first time very recently, has become an important research topic due to the high content of social media. Writing fake comments and news on social media is easy for users. The main challenge is to determine the difference between real and fake news. In this paper, a two-step method for identifying fake news on social media has been proposed, focusing on fake news. In the first step of the method, a number of pre-processing is applied to the data set to convert un-structured data sets into the structured data set. The texts in the data set containing the news are represented by vectors using the obtained TF weighting method and Document-Term Matrix. In the second step, twenty-three supervised artificial intelligence algorithms have been implemented in the data set transformed into the structured format with the text mining methods. In this work, an experimental evaluation of the twenty-three intelligent classification methods has been performed within existing public data sets and these classification models have been compared depending on four evaluation metrics.
•A two-step method for identifying fake news in social media is proposed.•An experimental evaluation of the intelligent classification methods is performed.•Methods are tested on three real data sets in terms of different evaluation metrics.
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