Tackling social media data analysis: Comparing and contrasting QSR NVivo and Leximancer

Purpose This paper aims to offer insights into the ways two computer-aided qualitative data analysis software (CAQDAS) applications (QSR NVivo and Leximancer) can be used to analyze big, text-based, online data taken from consumer-to-consumer (C2C) social media communication. Design/methodology/approach This study used QSR NVivo and Leximancer, to explore 200 discussion threads containing 1,796 posts from forums on an online open community and an online brand community that involved online brand advocacy (OBA). The functionality, in particular, the strengths and weaknesses of both programs are discussed. Examples of the types of analyses each program can undertake and the visual output available are also presented. Findings This research found that, while both programs had strengths and weaknesses when working with big, text-based, online data, they complemented each other. Each contributed a different visual and evidence-based perspective; providing a more comprehensive and insightful view of the characteristics unique to OBA. Research limitations/implications Qualitative market researchers are offered insights into the advantages and disadvantages of using two different software packages for research projects involving big social media data. The “visual-first” analysis, obtained from both programs can help researchers make sense of such data, particularly in exploratory research. Practical implications The paper provides practical recommendations for analysts considering which programs to use when exploring big, text-based, online data. Originality/value This paper answered a call to action for further research and demonstration of analytical programs of big, online data from social media C2C communication and makes strong suggestions about the need to examine such data in a number of ways

Online brand advocacy and brand loyalty: A reciprocal relationship?

© 2021, Emerald Publishing Limited. Purpose: The purpose of this study is to increase the understanding of the online brand advocacy (OBA) and brand loyalty relationship through a social identity theory lens. Design/methodology/approach: An online survey was used to obtain the needed data and the relationships of interest were examined using a partial least squares structural equation modelling approach. Findings: Brand loyalty and consumer-brand identification were found to be predictors of OBA, while OBA impacted on purchase intent. In addition, a strong reciprocal relationship was found between OBA and brand loyalty, which has not been reported in prior studies. Research limitations/implications: This study highlighted OBA\u27s complexity. It suggested OBA is not only an outcome of a consumer-brand relationship but also that OBA plays a key role in the development of such relationships. A consumer\u27s identification with a brand fosters brand loyalty and purchase intent through the giving of OBA. Practical implications: The more consumers vocalise their brand relationships through OBA, the more they strengthen their relationship with brands. The inclusion of OBA management in brand and marketing strategies should enable organisations to foster opportunities for online consumer-brand interactions that strengthen consumer-brand relationships. Originality/value: First, unlike previous studies that have used makeshift scales to measure OBA, the authors used a recently developed OBA scale. Second, the important reciprocal relationship between OBA and brand loyalty, which has significant implications, has not been reported in prior research

The Universe is not a Computer

When we want to predict the future, we compute it from what we know about the present. Specifically, we take a mathematical representation of observed reality, plug it into some dynamical equations, and then map the time-evolved result back to real-world predictions. But while this computational process can tell us what we want to know, we have taken this procedure too literally, implicitly assuming that the universe must compute itself in the same manner. Physical theories that do not follow this computational framework are deemed illogical, right from the start. But this anthropocentric assumption has steered our physical models into an impossible corner, primarily because of quantum phenomena. Meanwhile, we have not been exploring other models in which the universe is not so limited. In fact, some of these alternate models already have a well-established importance, but are thought to be mathematical tricks without physical significance. This essay argues that only by dropping our assumption that the universe is a computer can we fully develop such models, explain quantum phenomena, and understand the workings of our universe. (This essay was awarded third prize in the 2012 FQXi essay contest; a new afterword compares and contrasts this essay with Robert Spekkens' first prize entry.)Comment: 10 pages with new afterword; matches published versio

Antecedents to Consumer Peer Communication through Social Advertising: A Self-Disclosure Theory Perspective

© 2018, © 2018 American Academy of Advertising. The use of peer communication has become a primary method used by advertisers to disseminate their messages to relevant consumers on social media—with a significant return on investment. This study examines whether consumers\u27 privacy, trust, and perceived benefits are associated with their peer communication through social advertising within the lens of self-disclosure theory. The results of a survey of 393 social network users in Indonesia demonstrate that trust is a key factor promoting peer communication through social advertising, mediating privacy concerns and perceived privacy control. Of the three types of peer-communication benefits examined, social benefits appear to be the most significant antecedent, ahead of economic benefits and entertainment benefits. These findings have theoretical and managerial implications

Identifying influencers on social media

© 2020 Elsevier Ltd The increased availability of social media big data has created a unique challenge for marketing decision-makers; turning this data into useful information. One of the significant areas of opportunity in digital marketing is influencer marketing, but identifying these influencers from big data sets is a continual challenge. This research illustrates how one type of influencer, the market maven, can be identified using big data. Using a mixed-method combination of both self-report survey data and publicly accessible big data, we gathered 556,150 tweets from 370 active Twitter users. We then proposed and tested a range of social-media-based metrics to identify market mavens. Findings show that market mavens (when compared to non-mavens) have more followers, post more often, have less readable posts, use more uppercase letters, use less distinct words, and use hashtags more often. These metrics are openly available from public Twitter accounts and could integrate into a broad-scale decision support system for marketing and information systems managers. These findings have the potential to improve influencer identification effectiveness and efficiency, and thus improve influencer marketing

Physical Therapy for Hospitalized COVID-19 Patients in Isolation: Feasibility and pilot implementation of telehealth for delivering individualized therapy.

Objective To optimize the ability of hospitalized patients isolated due to COVID-19 to participate in physical therapy. Design This was a prospective, quality improvement trial of the feasibility and acceptability of a hybrid in-person and telerehabilitation platform to deliver physical therapy to hospitalized adults. Setting Inpatient wards of a tertiary care, multi-specialty academic medical center in the greater New York City metropolitan area. Participants A convenience sample of 39 COVID-19+ adults, mean age 57.3 years, 69% male, all previously community dwelling agreed to participate in a combination of in-person and telerehabilitation sessions (TR). Intervention Initial in-person evaluation by physical therapist followed by twice daily PT sessions, one in-person and one via a telehealth platform meeting Health Insurance Portability and Accountability Act (HIPAA) confidentiality requirements. The communication platform was downloaded to each participant\u27s personal smart device to establish audiovisual contact with the Physical Therapist. Measures The 6-clicks Activity Measure for Post-Acute Care (AM-PAC) was used to score self-reported functional status pre-morbidly by, and by the therapist at baseline and discharge. Results Functional status measured by AM-PAC 6-clicks demonstrated improvement from admission to discharge. Barriers to participation were identified and strategies are planned to facilitate use of the platform in future. Conclusions A consistent and structured protocol for engaging patient participation in PT delivered via a telehealth platform was successfully developed. A process was put in place to allow for further development, recruitment and testing in a randomized trial

The Scottish economy [July 1981]

The current economic situation is extremely depressed and recent events suggest that, without significant increases in economic activity, the political and social fabric of this country may be several strained. However, as argued in the UK section, the prospects for recovery are bleak and reliance on a purely financial strategy to restore growth is in itself inadequate. The source of real economic growth lies in the ability of labour, capital and enterprise to come together in a manner conducive to increased productivity over time. It is therefore worthwhile examining these factors of production to determine the effect of current policies upon them

Revisiting consistency conditions for quantum states of systems on closed timelike curves: an epistemic perspective

There has been considerable recent interest in the consequences of closed timelike curves (CTCs) for the dynamics of quantum mechanical systems. A vast majority of research into this area makes use of the dynamical equations developed by Deutsch, which were developed from a consistency condition that assumes that mixed quantum states uniquely describe the physical state of a system. We criticise this choice of consistency condition from an epistemic perspective, i.e., a perspective in which the quantum state represents a state of knowledge about a system. We demonstrate that directly applying Deutsch's condition when mixed states are treated as representing an observer's knowledge of a system can conceal time travel paradoxes from the observer, rather than resolving them. To shed further light on the appropriate dynamics for quantum systems traversing CTCs, we make use of a toy epistemic theory with a strictly classical ontology due to Spekkens and show that, in contrast to the results of Deutsch, many of the traditional paradoxical effects of time travel are present.Comment: 10 pages, 6 figures, comments welcome; v2 added references and clarified some points; v3 published versio

Review of the quarter's economic trends [October 1981]

In the second quarter of 1981 the index of industrial production for the United Kingdom was 8% below its level for the corresponding period in 1980. This notwithstanding, there do appear to be signs that the bottom of the output trough may now have been reached. This brief section will seek to understand the latest UK and world economic data to determine current economic conditions and forecasts future trends