Pharmaceutical supply chains and management innovation?

Papalexi, Marina; Bamford, David; Nikitas, Alexandros; Breen, Liz; Tipi, Nicoleta S.

doi:10.1108/scm-12-2019-0456

Cited by 8 publications

(2 citation statements)

References 105 publications

(235 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Mavi et al (2019) considered poor inputs and outputs in a big data environment via a two-stage network data envelopment analysis method based on goal programming. Papalexi et al (2022) analyzed the combined effects of eco-efficiency and eco-innovation, measuring them within the framework of big data. Through the collection and analysis of unstructured interviews and 130 questionnaires, the study evaluated management innovation in pharmaceutical supply chains and identified factors that either promoted or hindered innovation in the processes of pharmaceutical supply chain.…”

Section: Research Significancementioning

confidence: 99%

Measurement of innovation efficiency in logistic enterprises: Evidence from China based on the three‐stage DEA‐Malmquist index model approach

Zhou,

Xu,

Zhang

2023

American J Econ Sociol

View full text Add to dashboard Cite

Continuous improvement of technological innovation ability, adjustment of the development strategy, and enhancement of operational performance are of great theoretical and practical significance for logistics enterprises. This paper aims to analyze and evaluate the innovation efficiency of the logistics industry. The study utilizes the static three‐stage DEA model and the dynamic Malmquist index model, considering a total of 12 indicators related to innovation input, output, and environmental variables. A dataset of 2940 entries from 49 listed logistics enterprises from 2017 to 2021 was calculated. The analysis provides insights into the innovation efficiency of logistics enterprises from a static perspective and the innovation total factor productivity from a dynamic perspective and decomposition terms. Based on the analysis of environmental variables by the SFA model, it was found that DEA inefficiency is the combined result of environmental factors and management inefficiency. Environmental variables have both positive and negative effects on innovation. The improvement of the economic development level will lead to excess R&D investment. Increased government simple fund subsidies are not conducive to the efficient allocation of innovation resources within enterprises. The expansion of enterprise scale will increase R&D personnel and investment in fixed assets. A thriving technology market can encourage enterprises to improve their own conversion rate of scientific and technological output and give full play to their innovation ability. The dynamic Malmquist model analysis reveals a recution in the overall innovation efficiency of listed logistics enterprises over 5 years. The changes in total factor productivity and technological progress efficiency of all listed logistics enterprises are synchronized, with most enterprises exhibiting higher technological progress efficiency compared to comprehensive technical efficiency. The total factor productivity of logistics enterprise innovation is mainly affected by comprehensive technical efficiency.

show abstract

Section: Research Significancementioning

confidence: 99%

Measurement of innovation efficiency in logistic enterprises: Evidence from China based on the three‐stage DEA‐Malmquist index model approach

Zhou,

Xu,

Zhang

2023

American J Econ Sociol

View full text Add to dashboard Cite

show abstract

“…Papalexi et al (2021) analyzed the implementation of innovative plan within the pharmaceutical supply chain. The analysis led to the creation of the innovative pharmaceutical supply chain framework (IPSCF) that guides the healthcare system in how SCM problems could be solved using innovative approaches [37].…”

mentioning

confidence: 99%

An Integrated Approach for Evaluating Lean Innovation Practices in the Pharmaceutical Supply Chain

Meidutė‐Kavaliauskienė

Cebeci

Ghorbani

et al. 2021

Logistics

View full text Add to dashboard Cite

Backgroung: Lean innovation focuses on minimizing waste in the product development stages in order to increase productivity by obtaining customer feedback more quickly and efficiently. The usage of lean innovation practices in product development stages in the pharmaceutical supply chain is the topic of an increasing amount of research on the critical question of how lean innovation practices can be implemented in a pharmaceutical supply chain or logistic sector. To answer this question, we first identified lean innovation practices by reviewing the literature. Methods: the identified practices were screened using the fuzzy Delphi method (FDM). The expert panel included eight persons working in pharmaceutical supply chain fields. In the next step, the causal relationships between practices were analyzed using the Gray DEMATEL (GDEMATEL) technique. Results: show that technological knowledge was the most crucial factor in lean innovation practices in the pharmaceutical supply chain. Conclusions: Actualizing lean innovation in the supply chain is more than just utilizing the correct strategies and instruments. To execute lean innovation effectively, a reevaluation must be accomplished: A culture that recognizes requirements for change and is set up for consistent change is essential. Methodological strategies such as the value system cannot be set up as a one-time strategy. To execute lean innovation on a long-haul premise, members must be included and become acclimated to a proceeding with the progress process. Changes in forms are frequently used because of an absence of association of suppliers, regardless of whether measures are sensible.

show abstract