2025_Early Access

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    How does top management’s environmental awareness influence green innovation: The moderating role of absorptive capacity and slack resources
    (2025-01-10) Yang, Ying; Zhao, Jiaxin; Zhang, Xiu-e
    Based on the upper echelons theory, dynamic capability theory, and resource-based view, this study explores the impact of top management’s environmental awareness (TMEA) on green innovation (GI), the moderating role of absorptive capacity (AC) and slack resources (SR). Using the data of A-shared listed manufacturing firms in China from 2010–2023, this study finds that TMEA has a significant positive effect on GI. Furthermore, AC and unabsorbed slack resources (USR) strengthen the effect of TMEA on GI, whereas absorbed slack resources (ASR) weaken the effect of TMEA on GI. The results provide a more comprehensive understanding for enterprises to implement GI, expand boundary conditions between TMEA and GI, and contribute to the improvement of research on GI.
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    Towards sporadic demand stock management based on simulation with single reorder point estimation
    (2025-01-08) Huskova, Katerina; Kasparova, Petra; Dyntar, Jakub
    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 search (LS) with a number of bootstrapping sampling runs ranging from 5 to 500. The original idea of LS is to underestimate order lead time demand using linear regression (LR), overestimate lead time demand with the help of bootstrapping (B) and search the generated interval using PSMS to return R, Q with the optimal trade-off between inventory costs and service level. The outputs gained from simulation experiments show that avoiding the generation of overestimated reorder point with B seems to be a more sensible choice as the consumption of computational time is significantly higher than in case of LR. On the other hand, using an LR based initial reorder point may require the exploration of neighborhood in both directions, while B rather enables a more efficient one-way search as it suffers from significantly less blindness caused by PSMS compensating underestimated order lead time demand with increased replenishment orders. Furthermore, estimating just one initial reorder point brings a better opportunity to control the consumption of computational time through assigning a certain amount of computational time to every change of the initial reorder point, as a time to evaluate a single R, Q combination via PSMS is relatively stable.
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    The lens of business model element activation
    (2025-01-08) Adamek, Pavel
    A business model is the foundation for understanding the functioning of a business entity and is a source of innovation and change. Therefore, developing a business model is necessary, and proactive activation can be a source of competitive advantage to meet the appropriate requirements in the composition of business model elements. The study aims to identify the key elements of activation in business models and to discover their significance. This study uses an expert-based approach based on the use of multi-criteria decision-making (MCDM) with the definition of the main elements. It also compares data from fuzzy analytical hierarchy process (AHP) and conduct primary research among small and medium-sized enterprises (SMEs) to determine the importance of various elements in their business models. It provides insight into determining the degree of significance of business model elements, with its expansion to the Delphi method and a panel of experts on 97 sub-criteria. Predominant factors such as value proposition, customer segments, and key partnerships have been identified as primarily critical for SMEs. The results obtained can then be used by businesses for subsequent concentration on a specific business element to achieve higher company performance and strengthen the competitive position. This study presents a fresh perspective on reimagining the classification of business models, their elements, and, above all, the determination of the meaning of individual business model criteria.