Table 2

Response rates for primary model variables (n = 124)

VariablesItems%
GOV_TYPE (Klijn and Koppenjan, 2012)Associated84.68%
Autonomous15.32%
NET_INT (Cristofaro et al., 2025; Koliba et al., 2017)Command-and-control33.06%
Concession-and-compromise0.00%
Cooperation-and-collaboration40.32%
Competition26.61%
DIG_LEV (Tosi, 2009)No digitalization is present51.61%
Digitalization is available for simple operations46.77%
Digitalization is available for both simple and complex operations1.61%
Likert scale (1–5)M12345
NET_PER (Tosi, 2009)Cost savings3.688.87%1.61%40.32%11.29%37.90%
Faster case handling3.916.45%1.61%18.55%41.13%32.26%
Redundancy removal3.475.65%3.23%19.19%22.58%19.35%
Specialized staff3.783.23%6.45%18.55%52.42%19.35%
Staff optimization3.629.68%2.42%32.26%27.42%28.23%
Easy access3.560.81%8.87%45.97%21.77%22.58%
Better coordination3.755.65%2.42%36.29%22.58%33.06%
Stronger user engagement3.281.61%11.29%56.45%18.55%12.10%
Better service monitoring3.3512.10%6.45%38.71%19.35%23.39%
Increased transparency3.740.81%5.65%36.29%33.06%24.19%
Improved knowledge sharing3.486.45%2.42%45.97%27.42%17.74%
DIG_PER (Tosi, 2009)Faster case handling4.000.00%1.67%31.67%31.67%35.00%
Redundancy removal3.870.00%5.00%33.33%31.67%30.00%
Staff optimization3.285.00%3.33%65.00%11.67%15.00%
Better service monitoring3.2816.67%0.00%38.33%28.33%16.67%
Increased transparency4.150.00%0.00%40.00%5.00%55.00%
Source(s): Authors’ own work

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