How mobile technologies support business models: Case study‐based empirical analysis

Abstract

Mobile technologies have pushed the connectivity of IT systems to the limit, enabling people and things to connect to one another at all times. The amount of information companies have at their disposal has increased exponentially, thanks largely to geolocation and to the vast array of sensors that have been integrated into mobile devices. This information can be used to enhance business activities and processes, but it can also be used to create new business models. Focusing on business models, we analyze mobile technologies as enablers of activity changes. We consider the differentiating characteristics of mobile technologies and examine how these can support different business functions. A study based on fuzzy‐set qualitative comparative analysis (fsQCA) of 30 cases across different industries allows us to identify mobile technology success factors for different core activities. The results show that several combinations of mobile technology initiatives provide a competitive advantage when these initiatives match the business model.

Aligning governance, brand governance and social media strategies for improved organizational performance: a qualitative comparative analysis of national sport organizations

“…The consistency value for each condition was below the minimum threshold of 0.9 for both models (Greckhamer et al. , 2018; Peris-Ortiz et al. , 2020).…”

“…fsQCA is a configurational method that has proven to be relevant to examine organizational and governance issues (Fiss, 2007; Greckhamer et al. , 2008, 2018; Peris-Ortiz et al. , 2020) and specifically in the context of NSOs (Winand et al.…”

“…, 2018). Therefore, we used the standard three benchmarks (fully in or fully out of the set, and the crossover point) integrated into the “fsqca 3.0” software to calibrate our data (Misangyi and Acharya, 2014; Peris-Ortiz et al. , 2020).…”

“…To identify configurations of governance, brand governance and social media strategies leading to NSOs' effective organizational performance, we carried out a fuzzy-set qualitative comparative analysis (fsQCA) (Rihoux and Ragin, 2009). fsQCA is a configurational method that has proven to be relevant to examine organizational and governance issues (Fiss, 2007;Greckhamer et al, 2008Greckhamer et al, , 2018Peris-Ortiz et al, 2020) and specifically in the context of NSOs (Winand et al, 2013;Zeimers et al, 2021;Lefebvre et al, 2022). By assigning cases (i.e.…”

“…While crispset QCA dichotomizes data, fsQCA requires several benchmarks to calibrate data, leading to more precision in the membership degree of each case (Greckhamer et al, 2018). Therefore, we used the standard three benchmarks (fully in or fully out of the set, and the crossover point) integrated into the "fsqca 3.0" software to calibrate our data (Misangyi and Acharya, 2014;Peris-Ortiz et al, 2020). For example, for the "transparency" condition, the calibration determined for each NSO whether it was in (score 5 6) or out (score 5 5) of the "transparent NSO" set.…”