Gerald Oeser
11 Publikationen
2022 | Artikel | FH-PUB-ID: 2796
Oeser, G. (2022). Age-specific Differences in Food and Stimulant Consumption in Germany and Their Marketing Implications. Journal of International Food & Agribusiness Marketing, 34(5), 488–517. https://doi.org/10.1080/08974438.2021.1905132
HSBI-PUB
| DOI
2021 | Artikel | FH-PUB-ID: 2795
Oeser, G., & Romano, P. (2021). Exploring risk pooling in hospitals to reduce demand and lead time uncertainty. Operations Management Research, 14(1–2), 78–94. https://doi.org/10.1007/s12063-020-00171-y
HSBI-PUB
| DOI
2020 | Artikel | FH-PUB-ID: 2800
Oeser, G. (2020). Segmenting logistics service users based on their provider selection criteria to succeed in outsourcing. International Journal of Retail & Distribution Management, 48(9), 963–984.
HSBI-PUB
2019 | Artikel | FH-PUB-ID: 2799
Oeser, G. (2019). What’s the penalty for using the Square Root Law of inventory centralisation? International Journal of Retail & Distribution Management, 47(3), 292–310.
HSBI-PUB
2019 | Artikel | FH-PUB-ID: 2803
Oeser, G., Aygün, T., Schuckel, C.-L., Paffrath, R., & Schuckel, M. T. (2019). Segmenting elder German grocery shoppers based on shopping motivations. International Journal of Retail & Distribution Management , 47(2), 129–156.
HSBI-PUB
2018 | Artikel | FH-PUB-ID: 2798
Oeser, G., Aygün, T., Balan, C.-L., Corsten, T., Dechêne, C., Ibald, R., … Schuckel, M. T. (2018). Implications of the ageing population for the food demand chain in Germany. International Journal of Retail & Distribution Management.
HSBI-PUB
2017 | Artikel | FH-PUB-ID: 2802
Oeser, G., & Aygün, T. (2017). Challenges and opportunities of Turkish food retail in Germany from a value chain perspective. International Journal of Retail & Distribution Management, 45(3), 308–327.
HSBI-PUB
2016 | Artikel | FH-PUB-ID: 2797
Oeser, G., & Romano, P. (2016). An empirical examination of the assumptions of the Square Root Law for inventory centralisation and decentralisation. International Journal of Production Research, 54(8), 2298–2319. https://doi.org/10.1080/00207543.2015.1071895
HSBI-PUB
| DOI
2015 | Fachbuch | FH-PUB-ID: 2801
Oeser, G. (2015). Risk-Pooling Essentials. Reducing Demand and Lead Time Uncertainty. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-14157-2
HSBI-PUB
| DOI
2012 | Buchbeitrag | FH-PUB-ID: 2805
Oeser, G. (2012). A Framework for Risk Pooling in Business Logistics. In R. Bogaschewsky, M. Eßig, R. Lasch, & W. Stölzle (Eds.), Supply Management Research. Aktuelle Forschungsergebnisse 2012 (pp. 153–193). Wiesbaden: Gabler Verlag. https://doi.org/10.1007/978-3-8349-3928-9_7
HSBI-PUB
| DOI
2011 | Dissertation | FH-PUB-ID: 2804
Oeser, G. (2011). Methods of Risk Pooling in Business Logistics and Their Application.
HSBI-PUB
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11 Publikationen
2022 | Artikel | FH-PUB-ID: 2796
Oeser, G. (2022). Age-specific Differences in Food and Stimulant Consumption in Germany and Their Marketing Implications. Journal of International Food & Agribusiness Marketing, 34(5), 488–517. https://doi.org/10.1080/08974438.2021.1905132
HSBI-PUB
| DOI
2021 | Artikel | FH-PUB-ID: 2795
Oeser, G., & Romano, P. (2021). Exploring risk pooling in hospitals to reduce demand and lead time uncertainty. Operations Management Research, 14(1–2), 78–94. https://doi.org/10.1007/s12063-020-00171-y
HSBI-PUB
| DOI
2020 | Artikel | FH-PUB-ID: 2800
Oeser, G. (2020). Segmenting logistics service users based on their provider selection criteria to succeed in outsourcing. International Journal of Retail & Distribution Management, 48(9), 963–984.
HSBI-PUB
2019 | Artikel | FH-PUB-ID: 2799
Oeser, G. (2019). What’s the penalty for using the Square Root Law of inventory centralisation? International Journal of Retail & Distribution Management, 47(3), 292–310.
HSBI-PUB
2019 | Artikel | FH-PUB-ID: 2803
Oeser, G., Aygün, T., Schuckel, C.-L., Paffrath, R., & Schuckel, M. T. (2019). Segmenting elder German grocery shoppers based on shopping motivations. International Journal of Retail & Distribution Management , 47(2), 129–156.
HSBI-PUB
2018 | Artikel | FH-PUB-ID: 2798
Oeser, G., Aygün, T., Balan, C.-L., Corsten, T., Dechêne, C., Ibald, R., … Schuckel, M. T. (2018). Implications of the ageing population for the food demand chain in Germany. International Journal of Retail & Distribution Management.
HSBI-PUB
2017 | Artikel | FH-PUB-ID: 2802
Oeser, G., & Aygün, T. (2017). Challenges and opportunities of Turkish food retail in Germany from a value chain perspective. International Journal of Retail & Distribution Management, 45(3), 308–327.
HSBI-PUB
2016 | Artikel | FH-PUB-ID: 2797
Oeser, G., & Romano, P. (2016). An empirical examination of the assumptions of the Square Root Law for inventory centralisation and decentralisation. International Journal of Production Research, 54(8), 2298–2319. https://doi.org/10.1080/00207543.2015.1071895
HSBI-PUB
| DOI
2015 | Fachbuch | FH-PUB-ID: 2801
Oeser, G. (2015). Risk-Pooling Essentials. Reducing Demand and Lead Time Uncertainty. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-14157-2
HSBI-PUB
| DOI
2012 | Buchbeitrag | FH-PUB-ID: 2805
Oeser, G. (2012). A Framework for Risk Pooling in Business Logistics. In R. Bogaschewsky, M. Eßig, R. Lasch, & W. Stölzle (Eds.), Supply Management Research. Aktuelle Forschungsergebnisse 2012 (pp. 153–193). Wiesbaden: Gabler Verlag. https://doi.org/10.1007/978-3-8349-3928-9_7
HSBI-PUB
| DOI
2011 | Dissertation | FH-PUB-ID: 2804
Oeser, G. (2011). Methods of Risk Pooling in Business Logistics and Their Application.
HSBI-PUB