Scientific Papers

PERFORM researchers already published the following scientific research papers:

2019

  • Bielozorov A., Bezbradica M., Helfert M. (2019) The Role of User Emotions for Content Personalization in e-Commerce: Literature Review. In: Nah FH., Siau K. (eds) HCI in Business, Government and Organizations. eCommerce and Consumer Behavior. HCII 2019. Lecture Notes in Computer Science, vol 11588. Springer, Cham. Download via DCU repository
  • Cakir G., Bezbradica M., Helfert M. (2019) The Shift from Financial to Non-financial Measures During Transition into Digital Retail – A Systematic Literature Review. In: Abramowicz W., Corchuelo R. (eds) Business Information Systems. BIS 2019. Lecture Notes in Business Information Processing, vol 353. Springer, Cham.
    https://bit.ly/33FVv6r also available on DCU repository.
  • Cirqueira, D., Helfert, M. and Bezbradica, M., (2019). Towards Preprocessing Guidelines for Neural Network Embedding of Customer Behavior in Digital Retail. In Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control (pp. 1-6). Available on DCU repository
  • Obermeier G., Auinger A. (2019) Human-Computer Interaction in Physical Retail Environments and the Impact on Customer Experience: Systematic Literature Review and Research Agenda. In: Nah FH., Siau K. (eds) HCI in Business, Government and Organizations. eCommerce and Consumer Behavior. HCII 2019. Lecture Notes in Computer Science, vol 11588. Springer, Cham. DOI: 10.1007/978-3-030-22335-9_4. Available at Zenodo.
  • Jain S., Werth D. (2019) Current State of Mixed Reality Technology for Digital Retail: A Literature Review. In: Nah FH., Siau K. (eds) HCI in Business, Government and Organizations. eCommerce and Consumer Behavior. HCII 2019. Lecture Notes in Computer Science, vol 11588. Springer, Cham. DOI: 10.1007/978-3-030-22335-9_2. Also available at Zenodo.
  • Jain S., Mora D., Werth D. (2019) Retail Customer Experience: A comparative study between Physical, Online and Omnichannel Retail. 2019 (9th) International Conference of the Association Global Management Studies (ICAGMS), Oxford, United Kingdom. Available on Zenodo.
  • Mora, Daniel, Nalbach, Oliver, and Werth, Dirk. “How Computer Vision Provides Physical Retail with a Better View on Customers.” In 2019 IEEE 21st Conference on Business Informatics (CBI), vol. 1, pp. 462-471. IEEE, 2019. https://ieeexplore.ieee.org/document/8808033
  • Nabbosa V.L., Iftikhar R. (2019). Digital Retail Challenges within the EU: Fulfillment of Holistic Customer Journey Post GDPR. In Proceedings of the 2019 3rd International Conference on E-Education, E-Business and E-Technology (ICEBT 2019). Association for Computing Machinery, New York, NY, USA, 51–58.
    DOI: https://doi.org/10.1145/3355166.3355170. Also available on Zenodo.
  • Zimmermann R., Auinger A., Riedl R. (2019) Smartphones as an Opportunity to Increase Sales in Brick-and-Mortar Stores: Identifying Sales Influencers Based on a Literature Review. In: Nah FH., Siau K. (eds) HCI in Business, Government and Organizations. eCommerce and Consumer Behavior. HCII 2019. Lecture Notes in Computer Science, vol 11588. Springer, Cham. DOI: 10.1007/978-3-030-22335-9_6. Publication available at Zenodo, dataset available at Zenodo

2020

  • Bielozorov, A. (2020). Towards a Taxonomy for Buy Online Pick up in Store Service.In Proceedings of the 4th International Conference on Computer-Human Interaction Research and Applications – Volume 1: WUDESHI-DR, ISBN 978-989-758-480-0 , pages 299-308. DOI: 10.5220/0010214202990308. Available at Zenodo.
  • Cakir, G. (2020). Visualising Trade-offs of Objectives in Omnichannel Management: A Mental Model Approach.In Proceedings of the 4th International Conference on Computer-Human Interaction Research and Applications – Volume 1: WUDESHI-DR, ISBN 978-989-758-480-0, pages 291-298. DOI: 10.5220/0010214002910298, download also via ResearchGate or from Maynooth University Repository.
  • Cirqueira D., Hofer M., Nedbal D., Helfert M., Bezbradica M. (2020) Customer Purchase Behavior Prediction in E-commerce: A Conceptual Framework and Research Agenda. In: Ceci M., Loglisci C., Manco G., Masciari E., Ras Z. (eds) New Frontiers in Mining Complex Patterns. NFMCP 2019. Lecture Notes in Computer Science, vol 11948. Springer, Cham. Available on DCU repository.
  • Cirqueira, D.; Almeida, F.; Cakir, G.; Jacob, A.; Lobato, F.; Bezbradica, M. and Helfert, M. (2020). Explainable Sentiment Analysis Application for Social Media Crisis Management in Retail.In Proceedings of the 4th International Conference on Computer-Human Interaction Research and Applications – Volume 1: WUDESHI-DR, ISBN 978-989-758-480-0, pages 319-328. DOI: 10.5220/0010215303190328. Also available via ResearchGate or from Maynooth University Repository.  
  • Cirqueira D., Nedbal D., Helfert M., Bezbradica M. (2020) Scenario-Based Requirements Elicitation for User-Centric Explainable AI. In: Holzinger A., Kieseberg P., Tjoa A., Weippl E. (eds) Machine Learning and Knowledge Extraction. CD-MAKE 2020. Lecture Notes in Computer Science, vol 12279. Springer, Cham. https://doi.org/10.1007/978-3-030-57321-8_18. Also available on DCU repository.
  • Obermeier G., Zimmermann, R., Auinger A. (2020). The Effect of Queuing Technology on Customer Experience in Physical Retail Environments. In  in Business, Government and Organizations. eCommerce and Consumer Behavior. HCII 2020. Lecture Notes in Computer Science, vol 12204. Springer, Cham. DOI: 10.1007/978-3-030-50341-3_12. Available at Zenodo.
  • Hermes, A., & Riedl, R. (2020). The Nature of Customer Experience and its Determinants in the Retail Context: Literature Review. In WI2020 Zentrale Tracks (pp. 1738–1749). https://doi.org/10.30844/wi_2020_r5-hermes , download via ResearchGate or Zenodo.
  • Hermes A., Riedl R. (2020) How to Measure Customers’ Emotional Experience? A Short Review of Current Methods and a Call for Neurophysiological Approaches. In: Davis F.D., Riedl R., vom Brocke J., Léger PM., Randolph A.B., Fischer T. (eds) Information Systems and Neuroscience. NeuroIS 2020. Lecture Notes in Information Systems and Organisation, vol 43. Springer, Cham. https://doi.org/10.1007/978-3-030-60073-0_25, download via ResearchGate or Zenodo.
  • Iftikhar R., Pourzolfaghar Z., Helfert M. (2020) Omnichannel Value Chain: Mapping Digital Technologies for Channel Integration Activities. In: Siarheyeva A., Barry C., Lang M., Linger H., Schneider C. (eds) Advances in Information Systems Development. ISD 2019. Lecture Notes in Information Systems and Organisation, vol 39. Springer, Cham. https://doi.org/10.1007/978-3-030-49644-9_5, download via ResearchGate or Maynooth University Repository.
  • Mora, D.; Zimmermann, R.; Cirqueira, D.; Bezbradica, M.; Helfert, M.; Auinger, A. and Werth, D. (2020). Who Wants to Use an Augmented Reality Shopping Assistant Application?.In Proceedings of the 4th International Conference on Computer-Human Interaction Research and Applications – Volume 1: WUDESHI-DR, ISBN 978-989-758-480-0 , pages 309-318. DOI: 10.5220/0010214503090318, download via SciTePress. 
  • Mora D., Jain S., Nalbach O., Werth D. (2020) An In-store Recommender System Leveraging the Microsoft HoloLens. In HCII 2020. Communications in Computer and Information Science, vol 1225. Springer, Cham. https://doi.org/10.1007/978-3-030-50729-9_14
  • Mora D., Jain S., Nalbach O., Werth D. (2020) Holographic Recommendations in Brick-and-Mortar Stores. In AMCIS 2020 Proceedings. ISBN 978-1-7336325-4-6. https://aisel.aisnet.org/amcis2020/sig_hci/sig_hci/12
  • Nabbosa V. (2020). Me Too: Value Creation by Digitalization and Data Privacy. In Proceedings of the 2020 The 4th International Conference on E-Education, E-Business and E-Technology (ICEBT’20). Association for Computing Machinery, New York, NY, USA, 20–24. DOI: https://doi.org/10.1145/3404649.3404650. Also available at Zenodo.
  • Nabbosa V.L., Kaar C. (2020). Societal and Ethical Issues of Digitalization. Presented at the International Conference on Big Data in Management (ICBDM), Manchester, United Kingdom. DOI: 10.1145/3437075.3437093. Also available at Zenodo.
  • Zimmermann R., Auinger A. (2020). Identifying Brand-Owned Touchpoints Along the Digital Retail Customer Journey – A Practical Approach. In Gronau N, Heine M, Poustcchi K, Krasnova H, editors. WI2020 Community Tracks, GITO Verlag. DOI: 10.30844/wi_2020_y2-zimmermann, download via ResearchGate or Zenodo

2021

  • Cakir, G., Iftikhar, R., Bielozorov, A., Pourzolfaghar, Z. and Helfert, M. (2021). Omnichannel retailing: Digital transformation of a medium-sized retailer. Journal of Information Technology Teaching Cases. DOI: 10.1177/2043886920959803, download via ResearchGate or from Maynooth University Repository
  • Cirqueira D., Helfert M. & Bezbradica M. (2021). Towards Design Principles for User-Centric Explainable AI in Fraud Detection. In: Degen H., Ntoa S. (eds) Artificial Intelligence in HCI. HCII 2021. Lecture Notes in Computer Science, vol 12797. Springer. DOI: 10.1007/978-3-030-77772-2_2 download via DCU Repository
  • Costa Climent, R., Cakir, G. (2020). Business Model Themes and Product Market Strategies as Value Drivers in Omni-Channel Retail: A Set of Propositions. Journal of Business Accounting and Finance Perspectives, 2(3): 21; DOI:10.35995/jbafp2030021.
  • Hermes, A., & Riedl, R. (2021). Dimensions of Retail Customer Experience and Its Outcomes: A Literature Review and Directions for Future Research. In N. F.FH. & S. K. (Eds.), HCI in Business, Government and Organizations. HCII 2021. Lecture Notes in Computer Science (Vol. 12783, pp. 71–89). Springer, Cham. DOI: 10.1007/978-3-030-77750-0_5, download via ResearchGate or Zenodo

  • Hermes, A., & Riedl, R. (2021). Exploring the Influence of Personality Traits on Affective Customer Experiences in Retailing: Combination of Heart Rate Variability (HRV) and Self-report Measures. In D. F.D., R. R., vom B. J., L. PM., R. A.B., & M.-P. G. (Eds.), Information Systems and Neuroscience. NeuroIS 2021. Lecture Notes in Information Systems and Organisation (Vol. 52, pp. 20–29). Springer. DOI: 10.1007/978-3-030-88900-5_3 download via ResearchGate or Zenodo

  • Hermes, A., & Riedl, R. (2021). Influence of Personality Traits on Choice of Retail Purchasing Channel: Literature Review and Research Agenda. Journal of Theoretical and Applied Electronic Commerce Research16(7), 3299–3320. DOI: 10.3390/jtaer16070179 download via ResearchGate or MDPI

  • Iftikhar, R., Cakir, G., Wruck, T., & Helfert, M. (2021). How can Older Adults Shop Online in the Future? Developing Design Principles for Virtual-Commerce Stores. ECIS 2021 Research Papers. 122. download via Maynooth Repository.
  • Obermeier, G., Jain, S., Auinger, A. & Werth, D. (2021). The Impact of Prior Experience on Customers Using a Mixed-Reality Shopping Assistant. AMCIS 2021 Proceedings. 2. https://aisel.aisnet.org/amcis2021/sig_hci/sig_hci/2
  • Zimmermann R., Auinger A. (2021): Managerial and Departmental Differences in the Perceived Influence of Brand-Owned Touchpoints on Brand Perception – Case Study. In: Procedia Computer Science 181 (1), S. 157–165. DOI: 10.1016/j.procs.2021.01.116, download via ResearchGate or Zenodo, dataset available at Zenodo.
  • Zimmermann R., Wetzlinger W., Mayer M., Obermeier G., Auinger A. (2021) Information Technology as Enabler of Transparency in Food Supply Chains – An Empirical Study. In: Nah F.FH., Siau K. (eds) HCI in Business, Government and Organizations. HCII 2021. Lecture Notes in Computer Science, vol 12783. Springer, Cham. DOI: 10.1007/978-3-030-77750-0_20, download via ResearchGate or Zenodo.

2022

  • Hermes, A., Sindermann, C., Montag, C., & Riedl, R. (2022). Exploring Online and In-Store Purchase Willingness: Associations With the Big Five Personality Traits, Trust, and Need for Touch. Frontiers in Psychology13, 808500. DOI: 10.3389/fpsyg.2022.808500.

  • Hermes, A., & Riedl, R. (2022). Chief Digital Officer (CDO): Literaturanalyse und Handlungsempfehlungen für die Praxis. HMD Praxis Der Wirtschaftsinformatik. DOI: 10.1365/s40702-022-00864-x.

  • Zimmermann R., Weitzl W., Auinger A. (2022): Identifying Sales-Influencing Touchpoints along the Omnichannel Customer Journey. In: Procedia Computer Science 196 (3), S. 52–60. DOI: 10.1016/j.procs.2021.11.072.
  • Zimmermann, R., Auinger, A. (2022): Developing a conversion rate optimization framework for digital retailers—case study. Journal of Marketing Analytics. DOI: 10.1057/s41270-022-00161-y
  • Zimmermann, R., Mora, D., Cirqueira, D., Helfert, M., Bezbradica, M., Werth, D., Weitzl, W.J., Riedl, R. and Auinger, A. (2022), “Enhancing brick-and-mortar store shopping experience with an augmented reality shopping assistant application using personalized recommendations and explainable artificial intelligence”, Journal of Research in Interactive Marketing, Vol. ahead-of-print No. ahead-of-print. DOI:  10.1108/JRIM-09-2021-0237 .

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