The future of innovative localization technologies: insights from an international Delphi study

As part of an international Delphi study concerning future potentials and challenges of location-based services (LBS), the KomMa team was able to interview some of the most prominent experts regarding LBS – from either a scientific or entrepreneurial background, ensuring particularly interdisciplinary perspectives on the research subject.

After a comprehensive evaluation of the study’s results has already been presented at the emma (European Media Management Association) 2021 in Jönköping, Sweden, a further investigation of specific innovative localization technologies mentioned by the participants during the interviews will now be the focus of a KomMa team presentation at this year’s emma conference in Munich. Below you can find an excerpt from the according abstract:


Ongoing and rapid digital transformation processes are affecting businesses as well as our entire society, with business model innovations causing radical changes in consumer behavior (Mäkiö et al 2018; Skog et al. 2018). Users nowadays increasingly expect a constant availability of high-quality, real-time digital services (Mergel et al. 2019; Verhoef et al. 2021). Consequently, one of the core questions in this context seems to be which kind of technologies may endure in the near- and long-term future. With an ever-increasing demand for flexible, mobile and fast ways of communication, users also expect digital media offerings to be specifically customized according to their situational and spatial context (Peters 2016; Quy Tran et al. 2018). Since location has been identified as a key factor in predicting user behavior (Karimzadeh et al. 2018), the future potential of location-based media applications in today’s mobile information era is considered particularly high (Huang et al. 2018). With ‘location-based services’ (LBS) a user’s mobile device can be geographically localized in order to provide content tailored to the user’s current context (Junglas & Watson 2008; Raper et al. 2007; Schnabel 2009). Thus, the deployment of LBS is predestined to meet the current digital transformation of media industries – however, despite their huge potentials as a ‘lasting’ technology, the future of LBS is still considered to be uncertain due to continuous technological developments (Thomas & Thampi 2011), such as “new forms of visualisation beyond maps, such as 3D, VR, and augmented reality” (Huang et al. 2018).

This contribution aims to identify innovations that can be realized through the use of localization technologies with high future potential in various sectors of LBS usage. Previous research has so far mostly targeted this field from an IT-related perspective while social scientific traditions and approaches appear to be rather underrepresented (Authors 2020). Thus, this contribution’s findings are based on a Delphi study of two iterations addressing personal assessments of relevant international LBS-experts from a scientific or an entrepreneurial background. While this initial Delphi study was mainly aimed at providing a general look into the future of LBS – in order to derive future developments, solutions for current obstacles and impulses for future research – this contribution is specifically devoted to one subsection of the dataset generated in the Delphi study, that was discussed unexpectedly intensively by almost all participants: the aforementioned technologies with high future potential as well as their purposes and possible application areas.

Curious about the results of the KomMa study? Don’t miss the emma conference, June 15-17, 2022.



Huang, H., Gartner, G., Krisp, J. M., Raubal, M., & van de Weghe, N. (2018). Location based services: ongoing evolution and research agenda. Journal of Location Based Services, 12(2), 63–93.

Junglas, I. A., & Watson, R. T. (2008). Location-based services. Communications of the ACM, 51(3), 65–69.

Krusch, A.-L. C., Uphaus, P. O., & Rau, H. (2020). Only Location: A Systematic Literature Review on Context Marketing. In 2020 IEEE International Symposium on Technology and Society (ISTAS), 2020 (pp. 204–209).

Karimzadeh, M., Zhao, Z., Gerber, F., & Braun, T. (2018). Mobile Users Location Prediction with Complex Behavior Understanding. In 2018 IEEE 43rd Conference on Local Computer Networks (LCN). Piscataway, NJ: IEEE.

Mäkiö, J., Miroliubov, A., & Zhgun, V. (2018). Digitalization – quo vadis? SHS Web of Conferences, 44, 56.

Mergel, I., Edelmann, N., & Haug, N. (2019). Defining digital transformation: Results from expert interviews. Government Information Quarterly, 36(4), 101385.

Peters, C. (2016). Spaces and Places of News Consumption. In T. Witschge, C. W. Anderson, & D. Domingo (Eds.), The SAGE Handbook of Digital Journalism (pp. 354–369). London: SAGE.

Quy Tran, H., van Phan, C., & Vien, Q.‑T. (2018). An Overview of 5G Technologies. In K. V. Arya, R. S. Bhadoria, & N. S. Chaudhari (Eds.), Emerging Wireless Communication and Network Technologies: Principle, Paradigm and Performance (pp. 59–80). Singapore: Springer.

Raper, J., Gartner, G., Karimi, H., & Rizos, C. (2007). A critical evaluation of location based services and their potential. Journal of Location Based Services, 1(1), 5–45.

Schnabel, Christoph (2009): Datenschutz bei profilbasierten Location Based Services: Die datenschutzadäquate Gestaltung von Service-Plattformen für Mobilkommunikation. Kassel: Kassel University Press.

Skog, D. A., Wimelius, H., & Sandberg, J. (2018). Digital Disruption. Business & Information Systems Engineering, 60(5), 431–437.

Thomas, D., & Thampi, S. M. (2011). Mobile Query Processing-Taxonomy, Issues and Challenges. In A. Abraham (Ed.), Advances in Computing and Communications: First International Conference, ACC 2011, Kochi, India, July 2011 Proceedings, Part I (Vol. 190, pp. 64–77). Berlin: Springer.

Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Qi Dong, J., Fabian, N., & Haenlein, M. (2021). Digital transformation: A multidisciplinary reflection and research agenda. Journal of Business Research, 122, 889–901.


Bild: Jette Mertins.

Technological innovation and decisions in media management: Methodological criticism of an international Delphi study

In 2021, the KomMa team presented an international Delphi study about potentials and challenges of location-based services at the emma (European Media Management Association) 2021. In the Delphi study, KomMa examined the future of location-based services. The diversity of the panel allowed the researchers to examine interdisciplinary perspectives, discussing the topic with some of the most internationally renowned experts regarding LBS issues – investigating the subject in an unprecedented scale. At emma 2022, the KomMa team is now building upon their previous findings by presenting methodological critiques of the Delphi study. The contribution offered here is meant to critically examine the advantages and disadvantages of the Delphi method. Here is an excerpt from the abstract:

The advantages and disadvantages of the Delphi method are widely discussed in social sciences: It enables the mapping of group opinions, ensures that the reputation of the experts is transferred to the study results, and can furthermore be seen as a procedure to curb bias by balancing individual biases of the experts (Steinmüller, 2019, p. 34). The quality of a Delphi study depends on clearly formulated research questions, a heterogeneous sample of competent experts, and a well-designed questionnaire (ibid.), and the most common problem seems to be that too many Delphi studies are based on poor design and an insufficient theoretical basis (Häder & Häder, 1998). The study selected for this contribution of methodological critique was some kind of a culmination of a series of previous research (Rau & Ehlers, 2017; Uphaus et al., 2019; 2021). The interviewers were thus able to draw on a wealth of previously generated knowledge, which runs directly counter to the methodological fundamental critique mentioned above. As an example, the study is here to show how suitable the method could be implemented to foster management decisions in media enterprises. By its wider angle on the market realities of a bottom-up technology, the contribution will show how media management research is able to directly support management’s decisions in the media.

Curious about the results of the KomMa study? Don’t miss the emma conference, June 15-17, 2022.


Rau, H., & Ehlers, A. (2017). “Location Based Services” – alles eine Frage der Akzeptanz. In W. Seufert (Hrsg.), Media Economics revisited – (Wie) verändert das Internet die Ökonomie der Medien (S. 257-283). Baden-Baden: Nomos.

Uphaus, P. O., Neuper, O., Beringer, B., Hoffmann, L., Langenmair, S., Ehlers, A., & Rau, H. (2019). Barriers seen by potential local Providers of Applications using Location-Based Services. In G. Gartner & H. Huang (Eds.), Adjunct Proceedings of the 15th International Conference on Location Based Services (LBS 2019) (pp. 251–258). Vienna: Research Group Cartography.

Uphaus, P. O., Ehlers, A., Beringer, B., & Rau, H. (2021). Business Model Innovation in Local Journalism – how do Local Media Managers Perceive and Recognise Technical Opportunities? Manuscript Submitted for Publication.

Häder, M., & Häder, S. (1998). Neuere Entwicklungen bei der Delphi-Methode: Literaturbericht II (1998/05). DEU; Mannheim.

Steinmüller, K. (2019). Das „klassische“ Delphi: Praktische Herausforderungen aus Sicht der Zukunftsforschung. In M. Niederberger & O. Renn (Eds.), Delphi-Verfahren in den Sozial- und Gesundheitswissenschaften: Konzept (pp. 33–54). VS Verlag für Sozialwissenschaften.