Summary of special issue articles
| Authors/Study | Data/Approach | Key findings | Contributions to the SI |
|---|---|---|---|
| Shao et al. (2022) | Qualitative study with a sample of non-SOE-listed companies in China from 2011 to 2018 | The development of AI finance can alleviate financing constraints for non-SOE firms. This effect is more pronounced for smaller firms, more innovative firms and firms in developing areas | Emerging market countries can ease financing constraints on non-SOE firms by promoting AI finance development |
| Lai and Luo (2022) | Qualitative study with a sample of 86 listed financial institutions in China from 2010 to 2019 | A persistent inhibitory effect exists on the nexus of intelligent technology investment and employee compensation in financial institutions. The increase in intelligent investment has a positive two-year lagged effect on firm value | Help practitioners in emerging countries better understand that firms need to reasonably deal with the subsequent cost of growth caused by intelligent technology input |
| Fan et al. (2022) | Online survey data collected from 507 AI chatbot users | As the benefits of personalization decreased and the risk to privacy increased, the inherently negative (positive) effects of imbalanced (combined) chatbots' sales–service ambidexterity had an increasing (decreasing) influence on customer experience | Enrich the literature on frontline ambidexterity and extend it to human-machine interaction |
| Jiang et al. (2021) | Experimental data collected from 203 undergraduate students (Study 1) and 217 frontline staff members (Study 2) | When served by a humanoid service robot (vs. human employee), consumers exhibit more positive attitudes and purchase intentions toward functionally (vs culturally) mixed products | Offer insights for managers to develop service marketing for mixed products |
| Hamdan et al. (2021) | Used a machine learning method to collect data from 167 SMEs in Palestine's largest industrial sectors | Perceived benefit and ease of use are the most influential determinants of blockchain adoption | Deliver a decision support system for business leaders to estimate the potential for blockchain adoption |
| Dong et al. (2021) | A theoretical framework is developed through grounded theory and case analysis | Collaboration value is a building block for intelligent product ecosystems. These ecosystems are upgraded by coordinating products, platforms and networks | Provide a framework for enterprises to build an intelligent product ecosystem |
| Yao et al. (2022) | Experimental data collected from 93 consumers (Experiment 1) and 196 participants (Experiment 2) | Higher social class participants were more willing than lower social class participants to choose robot services in credence-based service settings. Risk aversion mediated the interaction effect | Help multinational enterprises (MNEs) develop strategies for scaling up robot services |
| Sharma et al. (2021) | Used a modified total interpretive structural modeling (m-TISM) approach | Identifies ten key factors essential for analyzing AI's impact on a firm's competitiveness | Detailed analysis of the ten factors can help tourism firm managers enhance competitiveness |
| Anil and Misra (2022) | Cross-case study based on semi-structured interviews with 6 NBFC-P2P founders and 12 fintech and P2P industry experts | Showcases AI's evolving role in Indian peer-to-peer lending (P2P) markets. Findings indicate that AI has reached a tipping point in India | Illustrate P2Ps still stuck to manual underwriting and show the merit in AI-driven processes |
| Sui and Mo (2022) | Experimental data collected from 396 participants in China (study 1) and 300 participants in the UK (study 2) | Moral standards declined for low-SES but not high-SES persons when using smart devices (vs non-smart devices) | In emerging markets, managers and marketers should be aware of this morality erosion and use preventive measures in advance |
| Gao et al. (2022) | Survey data collected from 209 survey participants from August to December 2020 | Two dimensions of AI technology stimuli positively affect smart customer experience; the moderating effects of contrasting dimensions of technology readiness are significantly different; smart customer experience has a positive effect on consumers' word-of-mouth intentions | Help enterprises better understand customer psychology and AI technology to promote a positive customer experience and improve consumers' word-of-mouth intentions, especially in the emerging markets |
| Wang et al. (2022) | Interview data collected from 66 SMEs across 20 industries in central China | SMEs in central China are enthusiastic about intelligent transformation while facing internal and external pressures. They have been forced to take a step-by-step strategy based on actual needs instead of long-term overall system design, constrained by limited resources | Firms should attend to executives' role in promoting intelligent transformation and fully use policy support to access additional resources |
| Authors/Study | Data/Approach | Key findings | Contributions to the SI |
|---|---|---|---|
| Qualitative study with a sample of non-SOE-listed companies in China from 2011 to 2018 | The development of AI finance can alleviate financing constraints for non-SOE firms. This effect is more pronounced for smaller firms, more innovative firms and firms in developing areas | Emerging market countries can ease financing constraints on non-SOE firms by promoting AI finance development | |
| Qualitative study with a sample of 86 listed financial institutions in China from 2010 to 2019 | A persistent inhibitory effect exists on the nexus of intelligent technology investment and employee compensation in financial institutions. The increase in intelligent investment has a positive two-year lagged effect on firm value | Help practitioners in emerging countries better understand that firms need to reasonably deal with the subsequent cost of growth caused by intelligent technology input | |
| Online survey data collected from 507 AI chatbot users | As the benefits of personalization decreased and the risk to privacy increased, the inherently negative (positive) effects of imbalanced (combined) chatbots' sales–service ambidexterity had an increasing (decreasing) influence on customer experience | Enrich the literature on frontline ambidexterity and extend it to human-machine interaction | |
| Jiang | Experimental data collected from 203 undergraduate students (Study 1) and 217 frontline staff members (Study 2) | When served by a humanoid service robot (vs. human employee), consumers exhibit more positive attitudes and purchase intentions toward functionally (vs culturally) mixed products | Offer insights for managers to develop service marketing for mixed products |
| Hamdan | Used a machine learning method to collect data from 167 SMEs in Palestine's largest industrial sectors | Perceived benefit and ease of use are the most influential determinants of blockchain adoption | Deliver a decision support system for business leaders to estimate the potential for blockchain adoption |
| Dong | A theoretical framework is developed through grounded theory and case analysis | Collaboration value is a building block for intelligent product ecosystems. These ecosystems are upgraded by coordinating products, platforms and networks | Provide a framework for enterprises to build an intelligent product ecosystem |
| Experimental data collected from 93 consumers (Experiment 1) and 196 participants (Experiment 2) | Higher social class participants were more willing than lower social class participants to choose robot services in credence-based service settings. Risk aversion mediated the interaction effect | Help multinational enterprises (MNEs) develop strategies for scaling up robot services | |
| Sharma | Used a modified total interpretive structural modeling (m-TISM) approach | Identifies ten key factors essential for analyzing AI's impact on a firm's competitiveness | Detailed analysis of the ten factors can help tourism firm managers enhance competitiveness |
| Cross-case study based on semi-structured interviews with 6 NBFC-P2P founders and 12 fintech and P2P industry experts | Showcases AI's evolving role in Indian peer-to-peer lending (P2P) markets. Findings indicate that AI has reached a tipping point in India | Illustrate P2Ps still stuck to manual underwriting and show the merit in AI-driven processes | |
| Experimental data collected from 396 participants in China (study 1) and 300 participants in the UK (study 2) | Moral standards declined for low-SES but not high-SES persons when using smart devices (vs non-smart devices) | In emerging markets, managers and marketers should be aware of this morality erosion and use preventive measures in advance | |
| Survey data collected from 209 survey participants from August to December 2020 | Two dimensions of AI technology stimuli positively affect smart customer experience; the moderating effects of contrasting dimensions of technology readiness are significantly different; smart customer experience has a positive effect on consumers' word-of-mouth intentions | Help enterprises better understand customer psychology and AI technology to promote a positive customer experience and improve consumers' word-of-mouth intentions, especially in the emerging markets | |
| Interview data collected from 66 SMEs across 20 industries in central China | SMEs in central China are enthusiastic about intelligent transformation while facing internal and external pressures. They have been forced to take a step-by-step strategy based on actual needs instead of long-term overall system design, constrained by limited resources | Firms should attend to executives' role in promoting intelligent transformation and fully use policy support to access additional resources |
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