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Little attention has been paid to restructuring existing massive amounts of literature data such that evidence-based meaningful inferences and networks be drawn therefrom. This paper aims to structure extant literature data into a network and demonstrate by graph visualization and manipulation tool “Gephi” how to obtain an evidence-based literature review.

The main objective of this paper is to propose a methodology to structure existing literature data into a network. This network is examined through certain graph theory metrics to uncover evidence-based research insights arising from existing huge amounts of literature data. From the list metrics, this study considers degree centrality, closeness centrality and betweenness centrality to comprehend the information available in the literature pool.

There is a significant amount of literature on any given research problem. Approaching this massive volume of literature data to find an appropriate research problem is a complicated process. The proposed methodology and metrics enable the extraction of appropriate and relevant information from huge quantities of literature data. The methodology is validated by three different scenarios of review questions, and results are reported.

The proposed methodology comprises of more manual hours to structure literature data.

This paper enables researchers in any domain to systematically extract and visualize meaningful and evidence-based insights from existing literature.

The procedure for converting literature data into a network representation is not documented in the existing literature. The paper lays down the procedure to structure literature data into a network.

This study aims to compare online review characteristics, review length and review sentiment score between “organic” and “regular” food products. In addition, variations in the consumer sentiment scores across the review lengths are studied.

This study fits into the descriptive research design. From Amazon’s website, the consumer product reviews are scrapped. Using the text analytical package “sentiment” in R-Studio, we computed the sentiment scores and counted the number of words in each review. The mean sentiment scores and mean review length are compared for regular and organic products using one-way ANOVA. Sentiment score variation across review length and product class is studied through factorial ANOVA. Sample reviews of ghee and honey are used to test the hypotheses.

The review length shows a significant difference between the regular and organic products. The mean number of words in the regular products reviews is significantly lower than the mean number of words in the organic product reviews. The regular products’ mean sentiment score is significantly lower than the mean sentiment score of organic products. The mean sentiment scores are not consistent between ghee and honey. Sentiment scores are better for organic honey and regular ghee products. For regular ghee products, longer reviews result in lower sentiment scores. For regular and organic versions of honey, longer reviews are associated with better sentiment scores.

This study did not include the helpfulness of a review and the demographic data of the reviewers.

Sentiment scores’ variations across the regular and organic and product categories such as ghee and honey give a comprehensive feedback to the firms. It also indirectly communicates a brand’s evaluation by the consumers and the performance feedback for an upward extension like the organic category.

Studies on organic category give feedback for environment-friendly products and consumer attitude shift towards safer products.

Very limited studies have reported the upward line extensions. The authors study the upward line extension organic and associated sentiment scores variation. The role of review length and its systematic influence on the sentiment scores, variations in the review due to the product nature (organic/regular) are unique contributions of this study.

The purpose of the study is to establish the mediating role of Perceived Service Quality on the relationship between Retail Atmospherics and Retail Store Patronage of Supermarkets in Emerging Economies using empirical evidence from Uganda.

The study used a cross-sectional research design and quantitative approach to understand stand the structured reality of Retail Store Patronage of supermarkets in context of emerging economies. In the context of this study, the data were drawn from Uganda's supermarkets. A sample of 1,504 customers were selected from 136,270 customers. Data was collected from supermarket customers using closed ended questionnaire. Descriptive and inferential statistics were derived to describe the behavior of customers and draw conclusions on population using sample statistics. Correlation analysis was used to establish the degree of association between the variables. Hierarchical regression was applied to assess the unique contribution of each variable; control variables-income and age, predictor variables – Retail Atmospherics and Perceived Service Quality on dependent variable – Retail Store Patronage. Mediation was done following the four-step procedures of mediation of Baron and Kenny (1986).

The results revealed significant positive relationship between Retail Atmospherics, Perceived Service Quality and Retail Store Patronage, confirming the direct hypotheses. Perceived Service Quality partially mediated the relationship between Retail Atmospherics and Retail Store Patronage. The findings depict that Retail Store Patronage is influenced directly by Retail Atmospherics and indirectly through Perceived Service Quality as a mediating variable. However, in situations where the atmospherics is good but perceived service quality is poor, Retail Store Patronage may not be fully realized.

The study provides information that is relevant for filling the practical and theoretical gap in the Retail Store Patronage in Ugandan supermarkets. Previous research studies investigated patronage behavior of shoppers in single retail units yet there is paucity of research on patronage behavior across different retail formats in the world. This study can be generalized and have strategic implications to developing economies that seek to grow and sustain their businesses. It points to the gaps that are normally overlooked and could lead business failure. The focus of most previous studies were on developed economies more especially Europe and America. This study in particular focused on the role of perceived service quality in the relationship between retail atmospherics and customer retail store patronage in emerging economies like Uganda as a testing ground.