List of extracted concepts and constructs
| Aggregated variables | Extracted constructs | References | Context |
|---|---|---|---|
| DARQ readiness dimensions | |||
| Technological | Data accuracy, reliability, availability and accessibility | Setyowati et al. (2023) | Blockchain in Indonesian firms |
| Seethamraju and Hecimovic (2022) | AI in auditing | ||
| Tehrani et al. (2024) | AI in multinational corporations | ||
| Johnk et al. (2021) | AI across various industries | ||
| Uren and Edwards (2023) | AI in firms across multiple countries | ||
| Hradecky et al. (2022) | AI in exhibition sector | ||
| Issa et al. (2022) | AI in agriculture | ||
| Compatibility | Setyowati et al. (2023) | Blockchain in Indonesian firms | |
| Chittipaka et al. (2022) | Blockchain in emerging markets | ||
| Bag et al. (2022) | Blockchain in SMEs | ||
| Relative advantage | Li et al. (2022) | Blockchain in construction | |
| Somya et al. (2022) | AI in insurance industry | ||
| Technology security | Lu et al. (2021) | Blockchain in elderly care | |
| Complexity (−) | Bag et al. (2022) | Blockchain in SMEs | |
| Somya et al. (2022) | AI in insurance industry | ||
| Organisational | Employees trust, knowledge and competence | Papagiannidis et al. (2023) | AI in energy sector |
| Nam et al. (2021) | AI in hotel industry | ||
| Chittipaka et al. (2022) | Blockchain in emerging markets | ||
| Zkik et al. (2022) | Blockchain in agriculture supply chains | ||
| Training (AI education, upskilling, raising AI awareness and providing AI ethics training) | Papagiannidis et al. (2023) | AI in energy sector | |
| Johnk et al. (2021) | AI across various industries | ||
| Process and operations (business model readiness, governance practices, information processing management, pipeline evaluation and dynamic model selection) | Tjebane et al. (2022) | AI in construction industry | |
| Setyowati et al. (2023) | Blockchain in Indonesian firms | ||
| Papagiannidis et al. (2023) | AI in energy sector | ||
| Culture (organisational readiness for change, innovativeness, collaboration between employees and human–machine collaboration) | Setyowati et al. (2023) | Blockchain in Indonesian firms | |
| Li et al. (2022) | Blockchain in construction | ||
| wael AL-khatib (2023) | Generative AI in innovation | ||
| Abu Salim et al. (2022) | Blockchain in IT firms | ||
| Tjebane et al. (2022) | AI in construction industry | ||
| Issa et al. (2022) | AI in agriculture | ||
| Management and strategy (top management support, leadership skills and commitment, innovativeness and optimism, problem-oriented AI strategy and efficient change management) | Bag et al. (2022) | Blockchain in SMEs | |
| Li et al. (2022) | Blockchain in construction | ||
| Somya et al. (2022) | AI in insurance industry | ||
| Frick et al. (2021) | AI in enterprises across industries | ||
| Kar et al. (2021) | AI in organisational strategy | ||
| Hradecky et al. (2022) | AI in exhibition sector | ||
| Papagiannidis et al. (2023) | AI in energy sector | ||
| Johnk et al. (2021) | AI across various industries | ||
| Resources (talent, IT infrastructure, financial resources and time) | Balasubramanian et al. (2021) | Blockchain in health care | |
| Johnk et al. (2021) | AI across various industries | ||
| Papagiannidis et al. (2023) | AI in energy sector | ||
| Chittipaka et al. (2022) | Blockchain in emerging markets | ||
| Alzahrani et al. (2022) | Blockchain in health care | ||
| Sarkhosh and Akhavan (2023) | Blockchain in health care | ||
| Tjebane et al. (2022) | AI in construction industry | ||
| Behl et al. (2022a) | AI in disaster relief operations | ||
| Environmental | Stakeholders’ readiness | Johnk et al. (2021) | AI across various industries |
| Collaboration with strategic partners | Chatterjee et al. (2021) | AI in manufacturing | |
| Ghobakhloo and Iranmanesh (2021) | Mixed technologies in manufacturing SMEs | ||
| Regulatory support | Setyowati et al. (2023) | Blockchain in Indonesian firms | |
| Lu et al. (2021) | Blockchain in elderly care | ||
| Papagiannidis et al. (2023) | AI in energy sector | ||
| Bag et al. (2022) | Blockchain in SMEs | ||
| Competitive pressure | Chandra and Kumar (2018) | AR in e-commerce | |
| Wang et al. (2022) | Blockchain in construction | ||
| Market dynamics | Somya et al. (2022) | AI in insurance industry | |
| Antecedents | |||
| Internal factors | Firm size | Hradecky et al. (2022) | AI in exhibition sector |
| Balasubramanian et al. (2021) | Blockchain in health care | ||
| Clohessy and Acton (2019) | Blockchain in Eight industry sectors | ||
| Sari et al. (2020) | Mixed technologies in manufacturing | ||
| Hopkins (2021) | Mixed technologies in supply chain | ||
| Technology trust | Lu et al. (2021) | Blockchain in elderly care | |
| Information security | Lu et al. (2021) | Blockchain in elderly care | |
| External factors | Environmental uncertainty | Wang and Pan (2022) | AI in supply chain |
| Supply chain collaboration | Wang and Pan (2022) | AI in supply chain | |
| Competitive pressure | Lu et al. (2021) | Blockchain in elderly care | |
| Government support | Lu et al. (2021) | Blockchain in elderly care | |
| Marketing outcomes | |||
| Internal marketing | Internal communication | Trocin et al. (2021) | AI in organisations |
| HR system effectiveness | Agarwal (2023) | AI in human resource management | |
| Transparent feedback | Trocin et al. (2021) | AI in organisations | |
| Relational governance | Baabdullah et al. (2021) | AI in B2B SMEs | |
| External marketing | Customer satisfaction | Papagiannidis et al. (2023) | AI in energy sector |
| Competitive advantage | Papagiannidis et al. (2023) | AI in energy sector | |
| Market gap identification | Trocin et al. (2021) | AI in organisations | |
| Improved value creation | Adiguzel et al. (2024) | AI in technology-focused companies | |
| Improved segmentation | Trocin et al. (2021) | AI in organisations | |
| Reduced time-to-market | Bhasin and Tripathi (2021) | QC in industries | |
| NPD success | Zhang et al. (2021) | AI in new product development | |
| Interactive marketing | Interaction trust | AL-Ashmori et al. (2023) | Blockchain in software sector |
| External communication | Trocin et al. (2021) | AI in organisations | |
| Relationship performance | Rahman et al. (2023) | AI in B2B firms | |
| Perceived fairness | Trocin et al. (2021) | AI in organisations | |
| Supply chain collaboration | Hopkins (2021) | Mixed technologies in supply chain | |
| Patil et al. (2024) | Mixed technologies in supply chain | ||
| Service experience | Baabdullah et al. (2021) | AI in B2B SMEs | |
| Customer engagement | Baabdullah et al. (2021) | AI in B2B SMEs | |
| Transparent feedback | Trocin et al. (2021) | AI in organisations | |
| Un-biased decisions | Trocin et al. (2021) | AI in organisations | |
| Adoption outcomes | |||
| DARQ adoption intention | DLT | Wong et al. (2020) | Blockchain in supply chain |
| Chittipaka et al. (2022) | Blockchain in emerging markets | ||
| Deng et al. (2022) | Blockchain in supply chain | ||
| Li et al. (2022) | Blockchain in construction | ||
| Guan et al. (2023) | Blockchain in supply chain | ||
| AI | Baabdullah et al. (2021) | AI in SMEs | |
| Zhang et al. (2021) | AI in new product development | ||
| Behl et al. (2022a) | AI in disaster relief operations | ||
| Chen et al. (2022) | AI in hospitality | ||
| Issa et al. (2022) | AI in agriculture | ||
| Agarwal (2023) | AI in human resource management | ||
| XR | Chandra and Kumar (2018) | AR in e-commerce | |
| QC | – | ||
| Mixed | Maroufkhani et al. (2023) | Big data analytics in SMEs | |
| McNamara and Sepasgozar (2020) | Intelligent contracts in construction | ||
| Performance outcomes | General performance | Chittipaka et al. (2022) | Blockchain in emerging markets |
| Samadhiya et al. (2023) | AI in B2B firms | ||
| Market performance | Bag et al. (2022) | Blockchain in SMEs | |
| Financial performance | Bag et al. (2022) | Blockchain in SMEs | |
| International performance | Denicolai et al. (2021) | AI in SMEs | |
| Supply chain performance | Nandi et al. (2020) | Blockchain in supply chain | |
| Behl et al. (2022b) | Blockchain in supply chain | ||
| Wang and Pan (2022) | AI in supply chain | ||
| AI performance | Papagiannidis et al. (2023) | AI in energy sector | |
| Relationship management performance | Rahman et al. (2023) | AI in B2B firms |
| Aggregated variables | Extracted constructs | References | Context |
|---|---|---|---|
| Technological | Data accuracy, reliability, availability and accessibility | Blockchain in Indonesian firms | |
| Compatibility | Blockchain in Indonesian firms | ||
| Blockchain in emerging markets | |||
| Blockchain in SMEs | |||
| Relative advantage | Blockchain in construction | ||
| Technology security | Blockchain in elderly care | ||
| Complexity (−) | Blockchain in SMEs | ||
| Organisational | Employees trust, knowledge and competence | ||
| Blockchain in emerging markets | |||
| Blockchain in agriculture supply chains | |||
| Training ( | |||
| Process and operations (business model readiness, governance practices, information processing management, pipeline evaluation and dynamic model selection) | |||
| Blockchain in Indonesian firms | |||
| Culture (organisational readiness for change, innovativeness, collaboration between employees and human–machine collaboration) | Blockchain in Indonesian firms | ||
| Blockchain in construction | |||
| Generative | |||
| Blockchain in | |||
| Management and strategy (top management support, leadership skills and commitment, innovativeness and optimism, problem-oriented | Blockchain in SMEs | ||
| Blockchain in construction | |||
| Resources (talent, | Blockchain in health care | ||
| Blockchain in emerging markets | |||
| Blockchain in health care | |||
| Blockchain in health care | |||
| Environmental | Stakeholders’ readiness | ||
| Collaboration with strategic partners | |||
| Mixed technologies in manufacturing SMEs | |||
| Regulatory support | Blockchain in Indonesian firms | ||
| Blockchain in elderly care | |||
| Blockchain in SMEs | |||
| Competitive pressure | |||
| Blockchain in construction | |||
| Market dynamics | |||
| Internal factors | Firm size | ||
| Blockchain in health care | |||
| Blockchain in Eight industry sectors | |||
| Mixed technologies in manufacturing | |||
| Mixed technologies in supply chain | |||
| Technology trust | Blockchain in elderly care | ||
| Information security | Blockchain in elderly care | ||
| External factors | Environmental uncertainty | ||
| Supply chain collaboration | |||
| Competitive pressure | Blockchain in elderly care | ||
| Government support | Blockchain in elderly care | ||
| Internal marketing | Internal communication | ||
| Transparent feedback | |||
| Relational governance | |||
| External marketing | Customer satisfaction | ||
| Competitive advantage | |||
| Market gap identification | |||
| Improved value creation | |||
| Improved segmentation | |||
| Reduced time-to-market | |||
| Interactive marketing | Interaction trust | Blockchain in software sector | |
| External communication | |||
| Relationship performance | |||
| Perceived fairness | |||
| Supply chain collaboration | Mixed technologies in supply chain | ||
| Mixed technologies in supply chain | |||
| Service experience | |||
| Customer engagement | |||
| Transparent feedback | |||
| Un-biased decisions | |||
| Blockchain in supply chain | |||
| Blockchain in emerging markets | |||
| Blockchain in supply chain | |||
| Blockchain in construction | |||
| Blockchain in supply chain | |||
| – | |||
| Mixed | Big data analytics in SMEs | ||
| Intelligent contracts in construction | |||
| Performance outcomes | General performance | Blockchain in emerging markets | |
| Market performance | Blockchain in SMEs | ||
| Financial performance | Blockchain in SMEs | ||
| International performance | |||
| Supply chain performance | Blockchain in supply chain | ||
| Blockchain in supply chain | |||
| Relationship management performance |
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