What Should Businesses Know About Social Media Analytics?

Big social media data generated by customers can be employed start to identify which customer behaviour and actions creates more value. A study by conducted by MIT Sloan Management Review found that 67% of the total 2,500 survey respondents reported that by employing analytics their companies gained a competitive advantage as well it helped them to innovate. Still, many businesses struggle to plan and create value from social data analytics. Hence, using a thematic analysis of current social media analytics (SMA) literature and focus group interview with SMA experts, the aim of this article is to provide an executive overview of SMA concepts, theories, and tools that are vital for understanding and strategically using social media analytics for business intelligence purposes

Social Media Analytics in Food Innovation and Production: a Review

Until recently social media and social media analytics (SMA) were basically used only for communication and marketing purposes. However, thanks to advances in digital technologies and big data analytics, potential applications of SMA extend now to production processes and overall business management. As a result, SMA has become an important tool for gaining and sustaining competitive advantage across various sectors, industries and end-markets. Yet, the food industry still lags behind when it comes to the use of digital technologies and advanced data analytics. A part of the explanation lies in the limited knowledge of potential applications of SMA in food innovation and production. The aim of this paper is to provide a review of literature on possible uses of SMA in the food industry sector and to discuss both the benefits, risks, and limitations of SMA in food innovation and production. Based on the literature review, it is concluded that mining social media data for insights can create significant business value for the food industry enterprises and food service sector organizations. On the other hand, many proposals for using SMA in the food domain still await direct experimental tests. More research and insights concerning risks and limitations of SMA in the food sector would be also needed. The issue of responsible data analytics as part of Corporate Digital Responsibility and Corporate Social Responsibility of enterprises using social media data for food innovation and production also requires a greater attention

Improving Customer Education: Study Of Customer Engagement Of Tokopedia And Shopee On Twitter Using Social Network Analysis

Customer education is one type of customer engagement. Through the active involvement of customers in the value creation process, customer education can give a business a competitive advantage. This study uses social network analysis (SNA) and text analysis to examine user interaction and information sharing about two Indonesian e-commerce sites on Twitter concerning customer engagement and customer education. Text data was scraped from Twitter from November 1 to December 31, 2022, and processed using Gephi and Orange software. This study found that the data shows that both official accounts of two Indonesian e-commerce become the most influential accounts in sharing information about products and services. They also play a role in educating their customers regarding the buying process, promotions, and solutions on their social networks. SNA and text analytics can be used to see customer engagement and improve customer education strategies for e-commerce to reach a competitive advantage. For further research, examining the same or different objects is recommended but using data sources from different social media, such as Instagram and Facebook

Role of SMAC Stack on Competitive Advantage and Innovation with Supply Chain Performance

AbstractThe paper investigates the relationship between SMAC capabilities in productivity, innovation and competitive advantage for supply chain performance. This paper shows how SMAC technologies insight into business issues to increase supply chain performances. So, the main objective is to develop a model to transform the organization into sustainable businesses. More specifically, authors developed a theoretical framework which finds that SMAC (Social media, Mobile, Analytics, and Cloud) capabilities have a positive impact on supply chain performance in terms of productivity, competitive advantage, and innovation. The paper draws from literature and experiential knowledge of other authors with the perspective of SMAC technologies in supply chain management to address the objective of the paper.Keywords: SMAC, Supply Chain, Productivity, Innovation, Competitive Advantag

The moderating influence of device characteristics and usage on user acceptance of smart mobile devices

This study seeks to develop a comprehensive model of consumer acceptance in the context of Smart Mobile Device (SMDs). This paper proposes an adaptation of the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT2) model that can be employed to explain and predict the acceptance of SMDs. Also included in the model are a number of external and new moderating variables that can be used to explain user intentions and subsequent usage behaviour. The model holds that Activity-based Usage and Device Characteristics are posited to moderate the impact of the constructs empirically validated in the UTAUT2 model. Through an important cluster of antecedents the proposed model aims to enhance our understanding of consumer motivations for using SMDs and aid efforts to promote the adoption and diffusion of these devices

Using big data for customer centric marketing

This chapter deliberates on “big data” and provides a short overview of business intelligence and emerging analytics. It underlines the importance of data for customer-centricity in marketing. This contribution contends that businesses ought to engage in marketing automation tools and apply them to create relevant, targeted customer experiences. Today’s business increasingly rely on digital media and mobile technologies as on-demand, real-time marketing has become more personalised than ever. Therefore, companies and brands are striving to nurture fruitful and long lasting relationships with customers. In a nutshell, this chapter explains why companies should recognise the value of data analysis and mobile applications as tools that drive consumer insights and engagement. It suggests that a strategic approach to big data could drive consumer preferences and may also help to improve the organisational performance.peer-reviewe

Text Analytics for Android Project

Most advanced text analytics and text mining tasks include text classification, text clustering, building ontology, concept/entity extraction, summarization, deriving patterns within the structured data, production of granular taxonomies, sentiment and emotion analysis, document summarization, entity relation modelling, interpretation of the output. Already existing text analytics and text mining cannot develop text material alternatives (perform a multivariant design), perform multiple criteria analysis, automatically select the most effective variant according to different aspects (citation index of papers (Scopus, ScienceDirect, Google Scholar) and authors (Scopus, ScienceDirect, Google Scholar), Top 25 papers, impact factor of journals, supporting phrases, document name and contents, density of keywords), calculate utility degree and market value. However, the Text Analytics for Android Project can perform the aforementioned functions. To the best of the knowledge herein, these functions have not been previously implemented; thus this is the first attempt to do so. The Text Analytics for Android Project is briefly described in this article

Measuring Greatness in the NBA

The “greatest player ever” debate stems from the controversy of how to measure a player’s effectiveness and contributions. Some analysts focus their arguments on a player’s statistics and advanced analytics. Another analyst may argue that awards play the largest role in a player’s worth to a team. Even though the tendency is to focus on one category of comparison, a player’s career is too complex to use only one category to rank players. In basketball, there are also so many exceptions in these points of comparison due to the team aspect of the sport. These factors all play a role in determining who is the greatest NBA player of all-time

Software como um Serviço: uma plataforma eficaz para oferta de sistemas holísticos de gestão da performance

This study main objective was to assess the viability of development of a Performance Management (PM) system, delivered in the form of Software as a Service (SaaS), specific for the hospitality industry and to evaluate the benefits of its use. Software deployed in the cloud, delivered and licensed as a service, is becoming increasingly common and accepted in a business context. Although, Business Intelligence (BI) solutions are not usually distributed in the SaaS model, there are some examples that this is changing. To achieve the study objective, design science research methodology was employed in the development of a prototype. This prototype was deployed in four hotels and its results evaluated. Evaluation of the prototype was focused both on the system technical characteristics and business benefits. Results shown that hotels were very satisfied with the system and that building a prototype and making it available in the form of SaaS is a good solution to assess BI systems contribution to improve management performance.O objetivo principal deste estudo é avaliar a viabilidade de desenvolvimento de um sistema de Gestão da Performance, entregue sob a forma de “Software como Serviço” (SaaS), específico para o setor hoteleiro, e também avaliar os benefícios de seu uso. O software implantado na cloud, entregue e licenciado como um serviço, é cada vez mais aceite num contexto de negócios. Todavia, não é comum que soluções de Business Intelligence (BI) sejam distribuídas neste modelo SaaS. No entanto, existem alguns exemplos de que isso se está a alterar. Para atingir o objetivo do estudo, foi utilizada Design Science Research como metodologia de pesquisa científica para desenvolvimento de um protótipo. Este protótipo foi implementado em quatro hotéis para que os seus resultados pudessem ser avaliados. A avaliação foi focada tanto nas características técnicas do sistema como nos benefícios para o negócio. Os resultados mostraram que os hotéis estavam muito satisfeitos com o sistema e que construir um protótipo e disponibilizá-lo sob a forma de SaaS é uma boa solução para avaliar a contribuição dos sistemas de BI para melhorar o desempenho da gestão.info:eu-repo/semantics/publishedVersio