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Kalliopi Platanou, Kristiina Mäkelä, Anton Beletskiy and Anatoli Colicev
The purpose of this paper is to propose new directions for human resource management (HRM) research by drawing attention to online data as a complementary data source to…
Abstract
Purpose
The purpose of this paper is to propose new directions for human resource management (HRM) research by drawing attention to online data as a complementary data source to traditional quantitative and qualitative data, and introducing network text analysis as a method for large quantities of textual material.
Design/methodology/approach
The paper first presents the added value and potential challenges of utilising online data in HRM research, and then proposes a four-step process for analysing online data with network text analysis.
Findings
Online data represent a naturally occuring source of real-time behavioural data that do not suffer from researcher intervention or hindsight bias. The authors argue that as such, this type of data provides a promising yet currently largely untapped empirical context for HRM research that is particularly suited for examining discourses and behavioural and social patterns over time.
Practical implications
While online data hold promise for many novel research questions, it is less appropriate for research questions that seek to establish causality between variables. When using online data, particular attention must be paid to ethical considerations, as well as the validity and representativeness of the sample.
Originality/value
The authors introduce online data and network text analysis as a new avenue for HRM research, with potential to address novel research questions at micro-, meso- and macro-levels of analysis.
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Tatiane Andreza de Souza Silva, Victor Silva Corrêa, Gláucia Maria Vasconcellos Vale and Ernesto Michelangelo Giglio
The purpose of this article is to investigate if and how social capital offline – stemming from face-to-face interactions – and social capital online – stemming from social…
Abstract
Purpose
The purpose of this article is to investigate if and how social capital offline – stemming from face-to-face interactions – and social capital online – stemming from social digital media – can influence early-stage entrepreneurs, i.e. ventures with up to 42 months of existence.
Design/methodology/approach
The authors used herein a qualitative research approach. The method used was the case study. The authors investigated three early-stage entrepreneurs in order to achieve the objective of the paper. These entrepreneurs are both the unit of analysis and the unit of observation.
Findings
The outcomes of this research indicate (1) the combined importance of social capital offline and online; (2) the different performance of the two different types of social capital (they seem to operate in relatively distinct ways) and (3) the existence of recursiveness between resources stemming from the two social spheres (offline and online).
Research limitations/implications
As research limitations, the authors point out the following: (1) the use of semistructured interviews as the only data collection instrument; (2) the limitation of the outcomes to entrepreneurs only (3) the absence of information on the performance of the business ventures; the focus of the paper was only on establishing causality between social capital offline and online and entrepreneurial performance.
Originality/value
This paper provides important research contributions. Initially, the paper presents a range of offline and online variables, which can be used in further research. At the same time, the paper emphasizes the combined impact of social capital offline and online, expanding the literature related to entrepreneurship. Moreover, this study proposes the creation of an integrative model. Finally, the authors point out the need for new theoretical and empirical studies on the subject, which still presents a gap in the literature.
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Volker Stocker, William Lehr and Georgios Smaragdakis
The COVID-19 pandemic has disrupted the ‘real’ world and substantially impacted the virtual world and thus the Internet ecosystem. It has caused a significant exogenous shock that…
Abstract
The COVID-19 pandemic has disrupted the ‘real’ world and substantially impacted the virtual world and thus the Internet ecosystem. It has caused a significant exogenous shock that offers a wealth of natural experiments and produced new data about broadband, clouds, and the Internet in times of crisis. In this chapter, we characterise and evaluate the evolving impact of the global COVID-19 crisis on traffic patterns and loads and the impact of those on Internet performance from multiple perspectives. While we place a particular focus on deriving insights into how we can better respond to crises and better plan for the post-COVID-19 ‘new normal’, we analyse the impact on and the responses by different actors of the Internet ecosystem across different jurisdictions. With a focus on the USA and Europe, we examine the responses of both public and private actors, with the latter including content and cloud providers, content delivery networks, and Internet service providers (ISPs). This chapter makes two contributions: first, we derive lessons learned for a future post-COVID-19 world to inform non-networking spheres and policy-making; second, the insights gained assist the networking community in better planning for the future.
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Arnaldo Mario Litterio, Esteban Alberto Nantes, Juan Manuel Larrosa and Liliana Julia Gómez
The purpose of this paper is to use the practical application of tools provided by social network theory for the detection of potential influencers from the point of view of…
Abstract
Purpose
The purpose of this paper is to use the practical application of tools provided by social network theory for the detection of potential influencers from the point of view of marketing within online communities. It proposes a method to detect significant actors based on centrality metrics.
Design/methodology/approach
A matrix is proposed for the classification of the individuals that integrate a social network based on the combination of eigenvector centrality and betweenness centrality. The model is tested on a Facebook fan page for a sporting event. NodeXL is used to extract and analyze information. Semantic analysis and agent-based simulation are used to test the model.
Findings
The proposed model is effective in detecting actors with the potential to efficiently spread a message in relation to the rest of the community, which is achieved from their position within the network. Social network analysis (SNA) and the proposed model, in particular, are useful to detect subgroups of components with particular characteristics that are not evident from other analysis methods.
Originality/value
This paper approaches the application of SNA to online social communities from an empirical and experimental perspective. Its originality lies in combining information from two individual metrics to understand the phenomenon of influence. Online social networks are gaining relevance and the literature that exists in relation to this subject is still fragmented and incipient. This paper contributes to a better understanding of this phenomenon of networks and the development of better tools to manage it through the proposal of a novel method.
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Claudia Maia, Guilherme Lunardi, Andre Longaray and Paulo Munhoz
The popularity of social networks has created business opportunities to the electronic commerce environment, being recently named as social commerce. The purpose of this paper is…
Abstract
Purpose
The popularity of social networks has created business opportunities to the electronic commerce environment, being recently named as social commerce. The purpose of this paper is to analyze – from the perspective of the consumer – the main factors and characteristics (personal or related to the products bought) that have influenced consumers to participate in social commerce buying, recommending, comparing and sharing information about products and services in online marketplace and communities.
Design/methodology/approach
The study is characterized as an exploratory descriptive research, operationalized through a survey, applied to 229 participants of the social network Facebook. The research involves a qualitative stage for identifying potential variables that influence the participation of consumers in social commerce, followed by a quantitative one, including data collection procedures, validation and data analysis.
Findings
The results show trust, perceived usefulness and information quality as the factors that most influence consumer participation in social commerce, being trust in the website the main predictor. Concerning the characteristics, the findings also show that more expensive products and products classified as computers and electronics use ratings, recommendations and comments online more intensively than books, travel, household appliances and fashion products.
Research limitations/implications
As limitations of the study, the authors highlight the small number of interviews conducted during the qualitative stage, which may have left out other relevant factors of the analysis on consumers’ participation in social commerce. Another limitation refers to the selection of the participants of the study; all members of the social network Facebook are identified by the contact net of the authors – though it has been tried to enlarge this contact list by requesting the respondents to share the questionnaire link with their acquaintances, we should be cautious about the generalization of the results.
Originality/value
The study proposes an instrument to identify factors and characteristics that are taken into consideration by the consumers when participating in social commerce. Such a tool can be replicated by firms included in this type of commerce, in order to evaluate the behavior and perception of their customers about their performance in the online environment. This study also highlights trust, information quality and perceived usefulness of the website as the most influencing factors of the consumers’ participation in social commerce. In addition, the authors identified that more expensive products and products classified as computers and electronics seem to use more intensively ratings, recommendations and comments online provided by other people. This fact supports the research literature that (positive or negative) online recommendations influence the consumers purchase behavior, reducing uncertainties about the products and increasing credibility and trust.
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This research shows how social media has affected learning at present during the COVID-19 pandemic and how it has become the largest and most convenient area of communication. In…
Abstract
Purpose
This research shows how social media has affected learning at present during the COVID-19 pandemic and how it has become the largest and most convenient area of communication. In the current scenario, it seems that social networking sites not only had a profound impact on our social structure and intra-social interaction, but also affected education in general and learning English language in particular. It has been proven that these various social media platforms have created a realm of digital environment in today's new-age learning. Social media platforms are social networking sites through which people interact and communicate with each other easily and conveniently. Undoubtedly and unquestionably, social networking has been proven to be a global phenomenon that has caused a vast paradigm shift in the world of Learning and education during the current pandemic. Therefore, the present study aims to reach the extent of the impact of the various social media platforms on learning English language during the COVID-19 pandemic from the students' point of view.
Design/methodology/approach
The study was conducted at the undergraduate level for English language learners. The sample comprised 166 undergraduate students at Najran University. A survey questionnaire was administered to find out the impact of various social media platforms and social networking sites on learning English language in the academic year of 2020 due to the COVID-19 pandemic and to highlight possible suggestions for improving future virtual language learning.
Findings
The findings of the study contributed to the area of online learning of English language during the COVID-19 pandemic. Final results confirmed that the utilization of social media has been significantly perceived to have positively impacted learning English language in terms of writing style, reading skills, listening and lexical variation, communication skills and grammar usage.
Practical implications
The findings of the study can serve as fundamental indicators to implement prompt pedagogical reformations, for which a number of pedagogical implications can be proposed. Another equally important pedagogical implication is to design and provide professional development and training sessions to both students and educators on the ultimate utilization of social media as instructional technologies in the context of English language teaching and learning.
Originality/value
This research provides insights in developing policies to assist with the integration and utilization of social media platforms as instructional technologies in the context of English language teaching and learning and how institutions can respond to the advent of advancing technology, especially during and after the COVID-19 era. A model to improve online English language learning process is recommended as a guideline for all educators offering online learning.
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