How To Predict A Pop-Up Store – Developing A Data Based Framework For Digitizing The Location Choice Process And Prototyping At The Case Of St. Gallen (Ch)

Stefan Nertinger — 2022-04-01

We target identifying the needs for the fulfillment of location factors of pop-up retailers being determined by their core motivations and retail sector affiliation. We undertake to do both, to qualify, and to quantify their needs to gain at end of the day a profound description of various pop-up retail patterns. Through the use of a mixed-methods approach containing qualitative research through conducting interviews and qualitative content analysis as well as quantitative fulfillment of location factors through data analysis of multiple location data sources like Open Street Map, we try to gain first indications towards a deeper understanding of pop-up location decisions as well as to validate our hypothesis of the existence of pop-up retail patterns. We were able to validate three retail patterns through our qualitative research. Furthermore, we saw differences reflecting the particular motivations of running the ephemeral retail project. Despite our small shown sample of quantitative data for St. Gallen, we figured out the first indications that store density is a suitable indicator to understand pop-up retailers’ locations’ decisions. Nevertheless, there is a need to continue research in both terms, more quantitative data like footfall and financial transactions (turnovers) as well as bigger, more representative samples. Within the undertaken literature review we saw a lack of research in gaining a deeper understanding of the nature of pop-up retail in terms of location needs and how location decisions are made. We present results that may deal as a foundation for upcoming research. Moreover, we contribute to the state of research in patterns of retail location choice through a data-driven approach, which presents reasonable insights into the field of location intelligence of temporary retail.

Share Price As Dependent Of Basic EPS Or DPS – A South African Perspective

Natasha Robbetze — 2022-04-01

Investors consider both earnings and dividend information when analysing the performance of an entity (Koppeschaar Koppeschaar, Sturdy, Du Toit, Deysel, Rossouw, Van Wyk, Gaie-Booysen, Papageorgiou, Smith & Van der Merwe, 2015). The objective of the study was to determine whether the share price performance of the top 40 JSE listed companies depend more on BEPS or DPS. The study focused on the top 40 JSE listed firms as sample, while data were collected for the period 2012 to 2016. Information was gathered on EPS, DPS and share prices with aid of the INET BFA database. Collected data were analysed through application of SPSS, by measuring Pearson correlation coefficients and performing paired t-tests.

Study limitations included that the sample size was limited to 40 observations, that a limited analytic period was used (2012-2016) and that the study relied on the accuracy of information provided by the INET BFA. Generalisation of research findings is therefore limited. Despite limitations, the study made a worthy contribution by indicating that investors of the top 40 JSE listed firms should rather rely on earnings measures (BEPS) than return measures (DPS) when making investment decisions, because it was statistically proven that BEPS delivers higher Pearson correlation coefficients than DPS when correlations modelling is performed for the selected analytic period.

Journal of Applied Business Research (JABR)

How To Predict A Pop-Up Store – Developing A Data Based Framework For Digitizing The Location Choice Process And Prototyping At The Case Of St. Gallen (Ch)

Share Price As Dependent Of Basic EPS Or DPS – A South African Perspective