Making sense of consumers' tweets: sentiment outcomes for fast fashion retailers through big data analytics

Purpose- Consumers online interactions, posts, rating and ranking, reviews of products/attractions/restaurants and so on lead to a massive amount of data that marketers might access to improve the decision-making process, by impacting the competitive and marketing intelligence. The aim of this research is to help to develop understanding of consumers online generated contents in terms of positive or negative comments to increase marketing intelligence. Design/Methodology/Approach- The research focuses on the collection of 9,652 tweets referring to three fast fashion retailers of different sizes operating in the UK market, which have been shared among consumers and between consumer and firm, and subsequently evaluated through a sentiment analysis based on machine learning. Findings- Findings provide the comparison and contrast of consumers’ response towards the different retailers, while providing useful guidelines to systematically making sense of consumers’ tweets and enhancing marketing intelligence. Practical Implications- Our research provides an effective and systemic approach to (i) accessing the rich data set on consumers’ experiences based the massive number of contents that consumers generate and share online, and (ii) investigating this massive amount of data to achieve insights able to impact on retailers’ marketing intelligence. Originality/Value- To best of our knowledge, while other authors tried to identify the effect of positive or negative online comments/posts/reviews, the present study is the first one to show how to systematically detect the positive or negative sentiments of shared tweets for improving the marketing intelligence of fast fashion retailers

Development of boron calibration via hybrid comparator method in prompt gamma activation analysis

The prompt gamma activation analysis (PGAA) facility at the Nuclear Engineering Teaching Laboratory at The University of Texas at Austin was utilized to quantify boron concentrations in boron carbide semiconductor films deposited on silicon substrates. Calibration was complicated by the unique and varying sample geometries analyzed. In addition, there was a dearth of solid materials available with quantified boron concentrations having comparable or readily modifiable dimensions to exploit for calibration purposes. Therefore, a novel hybrid comparator method was developed for the quantification of boron utilizing aluminum as an inexpensive and easily machinable reference material. Aluminum samples were manufactured with high tolerances to match the geometry of each sample of interest. Each boron carbide film sample and its congruent aluminum sample were measured in the PGAA system. The measured aluminum responses and relevant nuclear parameters were used to standardize the measurements. A boron standard was created using a procedure derived from a similar approach used by the National Institute of Standards and Technology. Quality control measurements using this standard show that the method provided accuracy to within 5% for boron quantification

The hard X-ray burst spectrometer event listing 1980, 1981 and 1982

A comprehensive reference for the hard X-ray bursts detected with the Hard X-Ray Burst Spectrometer on the Solar Maximum Mission for the time of launch on February 14, 1980 to March 1983 is provided. Over 6300 X-ray events were detected in the energy range from 30 to approx 500 keV with the vast majority being solar flares. The listing includes the start time, peak time, duration and peak rate of each event

Molecular Weight Dependence of Polymersome Membrane Elasticity and Stability

Vesicles prepared in water from a series of diblock copolymers and termed "polymersomes" are physically characterized. With increasing molecular weight $\bar{M}_n$, the hydrophobic core thickness $d$ for the self-assembled bilayers of polyethyleneoxide - polybutadiene (PEO-PBD) increases up to 20 $nm$ - considerably greater than any previously studied lipid system. The mechanical responses of these membranes, specifically, the area elastic modulus $K_a$ and maximal areal strain $\alpha_c$ are measured by micromanipulation. As expected for interface-dominated elasticity, $K_a$ ($\simeq$ 100 $pN/nm$) is found to be independent of $\bar{M}_n$. Related mean-field ideas also predict a limiting value for $\alpha_c$ which is universal and about 10-fold above that typical of lipids. Experiments indeed show $\alpha_c$ generally increases with $\bar{M}_n$, coming close to the theoretical limit before stress relaxation is opposed by what might be chain entanglements at the highest $\bar{M}_n$. The results highlight the interfacial limits of self-assemblies at the nano-scale.Comment: 16 pages, 5 figures, and 1 tabl

Topology of the Spin-polarized Charge Density in bcc and fcc Iron

We investigate the topology of the spin-polarized charge density in bcc and fcc iron. While the total spin-density is found to possess the topology of the non-magnetic prototypical structures, in some cases the spin-polarized densities are characterized by unique topologies; for example, the spin-polarized charge densities of bcc and high-spin fcc iron are atypical of any known for non-magnetic materials. In these cases, the two spin-densities are correlated: the spin-minority electrons have directional bond paths with deep minima in the minority density, while the spin-majority electrons fill these holes, reducing bond directionality. The presence of two distinct spin topologies suggests that a well-known magnetic phase transition in iron can be fruitfully reexamined in light of these topological changes. We show that the two phase changes seen in fcc iron (paramagnetic to low-spin and low-spin to high-spin) are different. The former follows the Landau symmetry-breaking paradigm and proceeds without a topological transformation, while the latter also involves a topological catastrophe.Comment: 5 pages, 3 figures. Phys. Rev. Lett. (in press

The role of brand attachment strength in higher education

This paper examines the effect of brand attachment and its antecedents on commitment, satisfaction, trust and brand equity in the context of Higher Education Institutions. The findings from an online survey with students and recent graduates (n=605) in the United States indicate that brand meaning is the main antecedent of brand attachment strength that affects satisfaction, trust, and commitment as well as brand equity. The effect of the brand attachment antecedents on satisfaction is stronger for current students whereas the effect of brand attachment antecedents on commitment is stronger for recent graduates. The effect of attachment strength on brand equity is also stronger for recent graduates. The paper also highlights practical implications for higher education managers and policy makers

Does social exclusion influence multiple channel use? The interconnections with community, happiness, and well-being

This paper examines how social exclusion affects consumer use of multiple shopping channels (traditional stores, online by computer and mobile retailing by cell phone) and how these choices affect consumers' happiness and wellbeing. The findings from an online survey (n = 1368) in the United States indicate that socially-excluded people spend more time shopping by all three channels, with the most significant being the cell phone. The latter channel is also more significant for younger respondents and for those who report a mobility/disability issue. Time spent on traditional store shopping and shopping by cell phone both have significant positive effects on happiness and wellbeing. Shopping by cell phone significantly ameliorates the negative effects of social exclusion on happiness and wellbeing for consumers with mobility/disability issues. The paper also includes practical implications for retail marketing managers' and policy makers' communication strategies

The pandemic consumer response: a stockpiling perspective and shopping channel preferences

Covid-19 has changed consumer behaviour, probably forever. Initial consumer stockpiling led to stockouts, threat and uncertainty for consumers. To overcome shortages, consumers expanded their use of channels and many consumers started buying online for the first time. In this paper, we aim to address important research gaps related to consumer behaviour during the pandemic and especially stockpiling. Our paper starts by presenting the findings of our pre-study, which used social media to elicit or confirm potential constructs for our quantitative models. These constructs complemented the protection motivations theory to explain stockpiling behaviour, forming the basis for study 1, the stockpiling preparation stage and study 2, the effects of the Covid-19 pandemic disruptor on customer service logistics and lockdown shopping channel preferences. For studies 1 and 2 we gathered data via a UK online panel-structured questionnaire survey (n = 603). Results confirm that consumer-driven changes to supply chains emanate largely from consumer uncertainty. Lockdown restrictions led to consumers feeling socially excluded, but enhanced consumers’ positive attitudes towards shopping online and increased consumers’ altruism. In response, consumers stockpiled by visiting physical stores and/or ordering online. Lockdown restrictions led to feelings of social exclusion but, importantly, stockpiling helped to minimize consumer anxiety and fear and even increase wellbeing