Table 3 Trustworthiness criteria of... | Emerald Publishing

Table 3

Trustworthiness criteria of research

Trustworthiness criteria	Methods for meeting trustworthiness criteria	Research phase
Credibility	Selection of leading firms in the field of blockchain technology implementation as a case study and researchers’ experiences in technology adoptions in supply chain assists in providing credibility	Case selection
	Use of qualitative arguments along with quantitative AHP data collected during interview provides triangulation	Data collection
	Computed priority weights and verbatim interviews transcripts supporting the priority weights are sent to the participants for feedback	Data analysis
Transferability	Detailed description of research setting facilitates in validating the interview protocol	Case selection
Transferability	Hierarchical model developed in this study based on theoretical framework assists in developing semi-structured interview questionnaire	Research design
Dependability	Interview protocol developed in this study can be used in future research in similar settings	Data collection
	Purposive sampling assists in collecting data from participants who are rich in information	Case selection
	The consistency ratio (CR) of AHP refers to the degree to which decision-makers adhere to the rank order specified and also measures the distortion in data	Data analysis
Confirmability	Hierarchical model of first order challenge categories and second order challenges used to collect the data assists in meticulous data management	Research design
Confirmability	Findings from AHP are further discussed with participants to make sure the correct interpretations of the quantitative assessments are captured during the interview process	Data analysis

Trustworthiness criteria	Methods for meeting trustworthiness criteria	Research phase
Credibility	Selection of leading firms in the field of blockchain technology implementation as a case study and researchers’ experiences in technology adoptions in supply chain assists in providing credibility	Case selection
	Use of qualitative arguments along with quantitative AHP data collected during interview provides triangulation	Data collection
	Computed priority weights and verbatim interviews transcripts supporting the priority weights are sent to the participants for feedback	Data analysis
Transferability	Detailed description of research setting facilitates in validating the interview protocol	Case selection
Transferability	Hierarchical model developed in this study based on theoretical framework assists in developing semi-structured interview questionnaire	Research design
Dependability	Interview protocol developed in this study can be used in future research in similar settings	Data collection
	Purposive sampling assists in collecting data from participants who are rich in information	Case selection
	The consistency ratio (CR) of AHP refers to the degree to which decision-makers adhere to the rank order specified and also measures the distortion in data	Data analysis
Confirmability	Hierarchical model of first order challenge categories and second order challenges used to collect the data assists in meticulous data management	Research design
Confirmability	Findings from AHP are further discussed with participants to make sure the correct interpretations of the quantitative assessments are captured during the interview process	Data analysis