Early Access

Towards sporadic demand stock management based on simulation with single reorder point estimation

Katerina Huskova, Petra Kasparova, Jakub Dyntar

The goal of this paper is to decide whether bootstrapping and/or linear regression are suitable to estimate an initial reorder point in sporadic demand stock management based on past stock movement simulation (PSMS) in combination with neighborhood search-oriented optimization. Thus, we randomly generate demand data including 20–80% zero demand periods and simulate continuous review, fixed order quantity inventory control policy (R, Q) for 4 different arrangements of PSMS combined with local…

DOI (& full text): doi.org/10.15240/tul/001/2025-5-002 more

Charting the path to consumer satisfaction: An innovative investigation into fresh e-commerce through text mining and spatiotemporal analysis

Yixing Yang, Lili Wei, Liangxian Fan, Qiuhan Zhao

The rapid expansion of fresh food e-commerce introduces significant challenges in logistics service quality due to the perishability of products. However, the effects of these challenges on customer satisfaction, particularly across different regions and seasons, have been insufficiently explored. This study addresses this gap by analyzing Jingdong (JD)’s e-commerce reviews using latent dirichlet allocation (LDA) topic models to extract dimensions of logistics service quality, combined with…

DOI (& full text): doi.org/10.15240/tul/001/2025-5-006 more

A proposal of a relative weighted online 5-star rating system as a way to mitigate online reviews biases

Jiri Mazurek, Cristina Perez-Rico, Carlos Fernandez-Garcia

Online ratings and reviews can be considered an electronic word of mouth regarding the quality of goods, products, or services. Reviews provide crucial information for customers, therefore significantly influencing their behavior, and they enable feedback to businesses from their customers, increase visibility, drive sales, help in developing a brand and building trust and reputation among consumers. However, the current 5-star rating system currently used on many Internet platforms such as…

DOI (& full text): doi.org/10.15240/tul/001/2025-5-008 more

Analysis of circular strategies: A case study of the food processing industry

Raquel Fernandez-Gonzalez, Rosa Maria Ricoy-Casas, Zita Graca Teixeira Pereira, Jorge Eduardo Vila Biglieri

This research investigates the implementation of the circular economy in the Galician canned fish and seafood sector. This sector is crucial, producing 225,000 t annually and representing 75% of Spain’s total production, significantly contributing to the regional economy and employment. Moreover, this industry significantly contributes to the regional economy employing around 12,000 people. Using the PESTLE methodology, the study systematically and holistically examines the most relevant…

DOI (& full text): doi.org/10.15240/tul/001/2025-5-007 more

A logistic regression approach to long-term bankruptcy prediction: The role of financial and non-financial indicators

Denis Kuster, Aleksandar Majstorovic, Veljko Dmitrovic

The main aim of the research is to examine the possibility of developing logistic regression (LR) model that could reliably predict the bankruptcy of Serbian companies three years in advance based on financial and non-financial variables. This is important both for business owners and external stakeholders. Owners can predict failure on time and define remedial measures and action plans in accordance with that. External stakeholders, on the other hand, can use these models to identify financial…

DOI (& full text): doi.org/10.15240/tul/001/2025-5-010 more

Do inconsistent online reviews reduce sales for merchants on the platform? Evidence from China

Xulong Wang, Chenyu Fu, Feng Leng

Inconsistent online reviews are the norm in online shopping. However, platform merchants often believe that inconsistent online reviews have a negative impact on sales. They delete or hide negative reviews in pursuit of consistent praise. So, do inconsistent online reviews really reduce sales? In view of this, this study explores the impact of inconsistent online reviews on the sales of platform merchants based on the stimuli-organism-response (S-O-R) theory and service remediation theory, as…

DOI (& full text): doi.org/10.15240/tul/001/2025-5-011 more

Does digital transformation propel innovation strategies? An empirical investigation based on machine learning and the dynamic GMM approach

Tingqian Pu

In today’s digital landscape, the transformation through digital technologies is revolutionizing traditional business models and innovation practices. Numerous organizations are accelerating their digital transformation efforts to enhance manufacturing capabilities, operational efficiency, and competitive advantage. While the significant role of digital transformation in economic development has been widely recognized in academic literature, research exploring the complex interplay between…

DOI (& full text): doi.org/10.15240/tul/001/2025-5-012 more

Make ads skippable or not: The impact of ad type on brand recall, salience and conversion rate

Radka Bauerova, Veronika Koprivova

In today’s world, people are using digital platforms more than ever to communicate with friends, network, shop, learn and more. The average time spent on these platforms is increasing. Companies are naturally reflecting this fact in order to reach as many people as possible through these platforms and their advertising messages. However, users are constantly bombarded with advertising messages that fragment their attention. It is, therefore, important to study the effects of different types of…