Search results

This study aims to identify the groups of value cocreators in the context of social media in the retail banking industry and resources that predict customer membership among different groups of value cocreators.

This study reviewed the literature and developed measurement instruments for the constructs of interest. Data were collected from 406 customers in an emerging market in 2019 and analyzed using latent profile analysis.

This study identified three profiles of value cocreators on social media based on the actual practices of resource integration that enliven value cocreation. Second, this study explains the differences in the performance of resource integration practices to cocreate by the types of resources that customers integrate into social media. Third, this study fills the need for knowledge of value cocreation in different contexts and industries (e.g. banks).

This study analytically relates a set of resources to the variety and intensity of the value cocreation practices adopted by bank customers in interactive environments. The emphasis on how value cocreation practices in online environments combined with customer resources (e.g., a person-centered approach) allows to identify unique profiles of value cocreators on social media. The findings inform managers of the profiles of cocreators, which customers are more attractive as value cocreators on social media, and which resources managers should help customers develop to increase cocreation on social media.

Although social media has gained prominence as a communication and marketing tool in various sectors, its adoption and utilization within the construction industry remain relatively underexplored. Therefore, this study fills this gap by evaluating the level of awareness and the extent of adoption of social media within the Nigerian construction industry, shedding light on its current status and potential impact.

This objective was attained via a quantitative research approach that utilized a structured questionnaire to obtain responses from construction professionals such as architects, builders, engineers, quantity surveyors and estate managers. Frequencies and percentages and the mean item score (MIS) were used to analyze the questionnaire responses and assess the overall awareness and adoption of social media among construction professionals. Additionally, the Kruskal–Wallis H-test provided valuable insights into the variations in social media adoption levels among different professional categories within the construction industry.

The results indicate that construction professionals possess a generally high level of awareness regarding various social media platforms. However, despite this awareness, the extent of adoption does not align with the level of awareness, suggesting that adoption rates are not as widespread as anticipated.

The findings of this study underscore the importance of not just awareness but also effective adoption and utilization of social media platforms. While awareness is a crucial first step, construction firms should focus on implementing strategies to encourage greater adoption and integration of these platforms into their daily operations. This can go a long way in bridging the awareness – adoption gap which was revealed in this study.

While the limited existing research on social media in the construction industry has predominantly concentrated on areas such as marketing, addressing the root causes of fatalities, data environment tools and business branding, none have undertaken a thorough evaluation of social media awareness and adoption within the sector. This study fills a critical gap by narrowing its focus to the adoption dynamics and the technology’s potential impact on communication, collaboration and knowledge sharing among construction professionals.

This study explores the pioneering approach of utilising machine learning (ML) models and integrating social media data for predicting tourist arrivals in Sri Lanka.

Two sets of experiments are performed in this research. First, the predictive accuracy of three ML models, support vector regression (SVR), random forest (RF) and artificial neural network (ANN), is compared against the seasonal autoregressive integrated moving average (SARIMA) model using historical tourist arrivals as features. Subsequently, the impact of incorporating social media data from TripAdvisor and Google Trends as additional features is investigated.

The findings reveal that the ML models generally outperform the SARIMA model, particularly from 2019 to 2021, when several unexpected events occurred in Sri Lanka. When integrating social media data, the RF model performs significantly better during most years, whereas the SVR model does not exhibit significant improvement. Although adding social media data to the ANN model does not yield superior forecasts, it exhibits proficiency in capturing data trends.

The findings offer substantial implications for the industry's growth and resilience, allowing stakeholders to make accurate data-driven decisions to navigate the unpredictable dynamics of Sri Lanka's tourism sector.

This study presents the first exploration of ML models and the integration of social media data for forecasting Sri Lankan tourist arrivals, contributing to the advancement of research in this domain.

This study focuses on the self-organized cooperative consumption of platform participants on social media platform, and reveals how the brand owner cooperates with two-sided customers to achieve value co-creation.

The authors adopted a case study approach to explore how a Chinese beauty startup developed collaborative networks from 2013 to 2022, and tracked the the changes of network structure and cooperation mechanism.

The study finds that the brand owner cooperates with two-sided customers to integrate resources and establish diverse relational trust, which enhances the evolution of a heterogeneous collaborative network for value co-creation.

The study builds upon traditional dyadic actor-to-actor interactions between providers and customers, develops a novel interaction framework of actor-to-network to explain the value co-creation by collaborative networking, reveals the self-organized mechanism of cooperative consumption on social media.

The purpose of this study is to review the application of social media for knowledge sharing (KS) in higher education. KS is the most crucial component in knowledge management. Higher education institutions (HEIs) are the epitome of knowledge creation and acquisition. With the advancement in technology and the embracement of social media, knowledge should be shared more freely and easily.

Using a bibliometric analysis, this study applies bibliographic coupling and co-word analysis to analyze the present and future trends on KS using social media in HEIs. 455 journal publications and 21,181 cited references were retrieved from Web of Science (WoS) database.

Findings show that most themes are categorized towards academics and students. Themes related to academics are the use of social media for expertise sharing and KS's impact on university-industry networking. In contrast, themes related to students revolved around the impacts of social media and academic performance.

Implications towards major social media practices on KS are discussed.

This study provides a novel, state-of-the-art bibliometric review of knowledge sharing via social media in the higher education context.

The integration of social media and e-commerce has resulted in a rising phenomenon among individual content providers (ICPs), who used to offer free content, to provide consumers with paid content, such as online courses, Q&As or consultations. Despite the prevalence of ICPs’ content monetization, empirical research has rarely studied its underlying mechanism. This paper examines how the characteristics of free content contributed by ICPs on social media platforms influence their paid content sales, focusing on the perspective of human brand.

The empirical setting is an online knowledge exchange platform, where users are allowed to provide free content (e.g. answers) on the social media platform and launch paid content (e.g. lectures) on the e-commerce platform. A machine learning technique is employed to construct measures for the characteristics of free content, and fixed-effects estimation is presented to confirm which factors have a significant influence on the sales of paid content.

The empirical results show that the quality, diversity and expertness of free content have a significant positive impact on the sales of the ICP-paid content, with the brand popularity of ICP playing a mediating role.

This study is the first attempt to demystify the relationship between content contribution and ICPs’ content monetization from the perspective of human brand. The findings validate the effectiveness of the “Selling by Contribution” strategy and provide valuable insights for ICPs and social media platforms.

Despite the increasing numbers of research studies about social media business, the concept of social media agility is still an emerging topic that has been understudied. Therefore, the purpose of this study was to investigate the effect of social media agility on business performance by using a sample of small- and medium-sized enterprises (SMEs) in Thailand. Moreover, this study explored whether the effect of social media agility on business performance could be moderated by the characteristic of firm in terms of size, as well as the characteristic of market environment in terms of environmental dynamism.

The sample of 337 firms was obtained from the business directory using the simple random sampling method, and the model assessment was performed by using partial least squares structural equation modeling.

The data analysis indicated that social media agility positively affected the business performance of SMEs. Moreover, the moderating effect analysis showed that smaller firms tended to gain higher business performance from social media agility than larger firms. In addition, social media agility positively affected business performance to a greater extent when firms operated under low environmental dynamism than when they operated under high environmental dynamism.

Because SMEs are the key driving of economic development and economic growth, the recommendations from this study could be helpful for the government sector responsible for the competency development of SMEs to offer a development program that might enable entrepreneurial firms to develop social media marketing competencies and enhance their potential to be successful in the digital transformation.

The authors found new evidence showing that the degree to which social media agility affected business performance depended significantly on the firm characteristics in terms of firm size, as well as the environmental factor in terms of environmental dynamism. These findings provide valuable contributions to the existing literature that still lacks evidence about the moderating conditions that could increase or reduce the benefits that firms obtain from social media agility.

This study aims to use social media data mining to revitalize and support existing urban infrastructure monitoring strategies by extracting valuable insights from public opinion, as current strategies struggle with issues such as adaptability to changing conditions, public engagement and cost effectiveness.

Twitter messages or “Tweets” about public infrastructure in the Philippines were gathered and analyzed to discover reoccurring concerns in public infrastructure, emerging topics in public debates and the people’s general view of infrastructure services.

This study proposes a topic model for extracting dominating subjects from aggregated social media data, as well as a sentiment analysis model for determining public opinion sentiment toward various urban infrastructure components.

The findings of this study highlight the potential of social media data mining to go beyond the limitations of traditional data collection techniques, as well as the importance of public opinion as a key driver for more user-involved infrastructure management and as an important social aspect that can be used to support planning and response strategies in routine maintenance, preservation and improvement of urban infrastructure systems.

Social media sites facilitate electronic word of mouth (eWOM) communication among consumers of diverse cultures and ethnicities. Based on the theory of planned behaviour (TPB), the present research proposes a conceptual framework for minority consumers' engagement in eWOM associated with the mainstream culture. The model incorporates social capital and social interaction as key factors that affect cross-cultural eWOM communication between minority and mainstream consumers. This research also aims to explore the responses of minority consumers to eWOM communications originating with members of the majority group.

A structural equation modelling (SEM) procedure was applied to data collected from social media (Facebook) users (N = 539) from two minority communities: Israeli Arab and Israeli Ultra-Orthodox Jewish minorities.

The findings show that: (a) minority consumers' engagement with eWOM is indirectly related to social capital, (b) this relationship is mediated by minority consumers' attitudes and their subjective norms regarding eWOM engagement with dominant cultural groups, (c) social interaction of minorities with the dominant culture enhances the influence of social capital on eWOM engagement and (d) behavioural engagement with eWOM varies across cultural minorities, depending on the minority group’s unique cultural characteristics.

The findings have managerial implications for practitioners who use social media in their marketing and business activities, as they demonstrate that the effectiveness of eWOM communication is contingent on the cultural characteristics of the ethnic minority consumer groups being targeted by managers.

The present research contributes to the theory of consumer engagement by demonstrating that engagement is contingent on the intercultural social context in which eWOM is communicated.

The purpose of this study is to understand the factors responsible for social media fan engagement and experience. The research study also attempts to analyze the significance of adopting digital strategies with a fan-centric approach for sports organizations.

The authors conducted 18 semi-structured interviews with managers in different sports organizations and fans of various popular sports leagues and clubs in India. The authors used a qualitative exploratory approach by applying coding and thematic analysis to arrive at findings and conclusions.

The responses led to the emergence of three major themes comprising effective planning, harnessing fan participation and boosting the quality of experience. Building on these themes, the authors recommended the “PRIME” model for sports organizations.

As this study explores the growing importance of fan engagement from the top three sports leagues in India, future researchers can focus on obtaining data from multiple countries and multiple leagues to enhance fan engagement's generalizability. Also with the growing popularity of eSports, the scope of the present study may be expanded based on eSports.

The authors' study acts as an eye-opener for managers revealing that to get active participation from fans, sports organizations will have to be active in social media initiatives. In addition to this, the authors also propose the PRIME model, which elaborates on the aspects of Planning social media programs, Regularization of content creation, increased Interaction with the fan base, Motivation through rewards and Enriching fan experience for effectively harnessing fan engagement and experience.

In the pandemic era, engaging with fans on social media can enable sports organizations to thrive. The authors suggest a “PRIME” model which can aid sports managers in effectively harnessing fan engagement and experience for the managers of sports organizations. The model can also be applied beyond the sports context in anchoring customer engagement and experience through the social media of other business organizations.