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Table 1 Measurement and operationalization of variables.

From: Risk governance and cybercrime: the hierarchical regression approach

Variable(s)

Symbols

Operationalization

Prior studies

Dependent variable

Financial loss (cybercrime)

FINLoss

Proxy by the total financial loss suffered due to cybercrime disclosed in the annual reports

Baxter et al. [23] and Okoye et al. [65]

Independent variables (risk gov. variables)

Chief risk officer presence

CRO_presence

CRO is dummy variable, set equal to 1 for firms with CRO designation, and 0 otherwise

McShane et al. [29]

Chief risk officer centrality

CRO_centrality

CRO remuneration divided by CFO remuneration. Note CFO means Chief Financial Officer

Cavezzali, and Garddenal [66]

Board risk committee size

BRC_size

The total number of members on the risk committee

Erin et al. [21] and [33]

Board risk committee activism

BRC_activism

BRC activism is the number of times meeting was held in a financial year

Aebi et al. [67] and Li et al. [20]

Enterprise risk management index

ERM_index

ERM index is measured through the combination of corporate governance and risk variables

Hoyt and Liebenberg [38] and Arnold et al. [68]

Board risk committee independence

BRC_independence

The proportion of non-executive directors divided by total numbers of directors

Gordon et al. [16] and Soliman and Adam [6]

Corporate governance variables

Board of director independence

BOD_independence

The proportion of non-executive directors divided by total numbers of directors

Ellul and Yerramilli [41];

Board size

BSIZE

The actual number of directors on the firm’s board

Ame, Arumona and Erin [45]

Firm characteristics variables

Firm Age

FAGE

The number of years of a firm’s existence since incorporation

Baxter et al. [23] and Okoye et al. [43]

Firm size

FSIZE

Proxy by the natural logarithm of Total Assets

Uwuigbe et al. [47]