Table 5

Structural model results

PathsHypothesesCoefficient
LinkedIn Well-Being → Intrinsic MotivationH10.366***
LinkedIn Exhaustion → Intrinsic MotivationH2−0.162**
Excessive Demand → LinkedIn ExhaustionH30.386***
Privacy Threats → LinkedIn ExhaustionH40.145*
LinkedIn Well-Being → LinkedIn ExhaustionH5−0.202*
Control variables
Extent of Use → Intrinsic Motivation 0.128 ns
Extent of Use → LinkedIn Exhaustion 0.135 ns
Extent of Use → LinkedIn Well-Being 0.006 ns
Gender → Intrinsic Motivation 0.068 ns
Gender → LinkedIn Exhaustion 0.051 ns
Gender → LinkedIn Well-Being −0.027 ns
History → Intrinsic Motivation 0.044 ns
History → LinkedIn Exhaustion −0.007 ns
History → LinkedIn Well-Being 0.021 ns
Minutes per Day → Intrinsic Motivation 0.084 ns
Minutes per Day → LinkedIn Exhaustion −0.004 ns
Minutes per Day → LinkedIn Well-Being −0.009 ns
Perceived Ease of Use → Intrinsic Motivation 0.008 ns
Perceived Ease of Use → LinkedIn Exhaustion −0.073 ns
Perceived Ease of Use → Well-Being 0.025 ns
Perceived Usefulness → Intrinsic Motivation 0.252***
Perceived Usefulness → LinkedIn Exhaustion −0.112 ns
Perceived Usefulness → LinkedIn Well-Being 0.004 ns
Variance explainedR2R2 adjusted
Intrinsic motivation0.4770.457
LinkedIn Exhaustion0.2500.218

Note(s): ***p < 0.001 **p < 0.01 *p < 0.05

Source(s): Authors' own work

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