Productive employment and decent work: The impact of AI adoption on psychological contracts, job engagement and employee trust
Open accessAbstract
This research examines the tension between the aims of the United Nations' Sustainable Development Goal 8 (SDG 8), to promote productive employment and decent work, and the adoption of Artificial Intelligence (AI). Our findings are based on the analysis of 232 survey results, where we tested the effects of AI adoption on workers' psychological contract, engagement and trust. We find that psychological contracts had a significant, positive effect on job engagement and on trust. Yet, with AI adoption, the positive effect of psychological contracts fell significantly. A further re-examination of the extant literature leads us to posit that AI adoption fosters the creation of a third type of psychological contract, which we term "Alienational". Whereas SDG 8 is premised on strengthening relational contracts between an organization and its employees, the adoption of AI has the opposite effect, detracting from the very nature of decent work.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
5 of 40 cited sources checked · 1 supported · 0 flagged · accuracy not yet measured
- Premisecitation
AI and related technologies weaken the relationship between employees and their employers' psychological contracts.
“Since technological changes trigger uncertainty at work, adoption of AI and related technologies weakens relationships between employees’ psychological contract with employers (Conway and Briner, 2005, Østhus, 2007, Nam, 2019)”
Quote in the paperSubstantial claim2 of 3 sources checked- cites Conway and Briner, 2005 source
The exact sentence appears in “Productive employment and decent work: The impact of AI adoption on psychological contracts, job engagement and employee trust” (score 0.836), which cites Conway and Briner (2005) alongside two other works. That later paper provides a clear source for the AI-specific wording, but its citation does not establish that Conway and Briner themselves made the AI claim. The cited book’s full text is unavailable here, and both paper-scoped searches failed, so its support for the claim cannot be verified; the later paper’s citation also rules out a confident misattribution verdict. (LLM, conf=0.72)
Experimental — accuracy not yet measured - cites Østhus, 2007 source
Two searches of Østhus (2007) returned no full-text snippets, so its support for the psychological-contract claim could not be checked. A 0.988 unscoped match in “Productive employment and decent work: The impact of AI adoption on psychological contracts, job engagement and employee trust” reproduces the citing sentence itself and explicitly cites Østhus; it is not evidence that the claim originated in a different paper. The available evidence therefore does not establish either confirmation or misattribution. (LLM, conf=0.78)
Experimental — accuracy not yet measured - cites Nam, 2019 source
- Findingown data
AI adoption did not significantly moderate the association between job engagement and job trust.
“Our study finds that AI has no significant impact on employees’ trust of the company they are working for and has no notable effects on AI Adoption*Job Engagement -> Trust (H2m: not significant) and AI Adoption*Psychological Contract -> Trust (H3m: not significant) relationships.”
Quote in the paperSubstantial claim- Rests on an assumption: The cross-sectional survey data can support causal or directional conclusions about AI adoption's effects on psychological contracts, engagement, and trust.
- Findingown data
Employees' psychological contracts did not have a statistically significant association with their trust.
“Our study reveals that psychological contracts have no significant impact on employees’ trust (H3: β = 0.201; t = 1.049, ns).”
Quote in the paperSubstantial claim- Rests on an assumption: The cross-sectional survey data can support causal or directional conclusions about AI adoption's effects on psychological contracts, engagement, and trust.
- Findingown data
In the authors' survey, employee engagement had a direct positive effect on workers' trust in the employer.
“Moreover, our survey results show that employee engagement has a direct and positive affect on workers’ trust in the employer.”
Quote in the paperSubstantial claim - Findingown data
The study's sample of 232 responses is relatively small.
“The research sample size (232) we have collected for this study is also relatively small.”
Quote in the paperSubstantial claim
- Findingown data
AI adoption did not have a statistically significant association with employees' trust in their organization.
“Our study finds that AI has no significant impact on employees’ trust of the company they are working for”
Quote in the paperSubstantial claim- Rests on an assumption: The cross-sectional survey data can support causal or directional conclusions about AI adoption's effects on psychological contracts, engagement, and trust.
- Findingown data
Employees' psychological contracts had a statistically significant positive association with their job engagement.
“We find that psychological contracts had a significant, positive effect on job engagement and on trust.”
- Also stated in: § Results · plain
“The results show that psychological contracts have significant positive impact on job engagement as predicted (H1: β = 0.505; t = 3.050, p < 0.01)”
Quote in the paperSubstantial claim- Rests on an assumption: The cross-sectional survey data can support causal or directional conclusions about AI adoption's effects on psychological contracts, engagement, and trust.
- Also stated in: § Results · plain
- Findingown data
Employees' job engagement had a statistically significant positive association with their job trust.
“H2 (β = 0.758; t = 5.820, p < 0.01) is accepted as our results confirm that employee engagement has positive significant impact on job trust.”
Quote in the paperSubstantial claim- Rests on an assumption: The cross-sectional survey data can support causal or directional conclusions about AI adoption's effects on psychological contracts, engagement, and trust.
- Findingown data
AI adoption did not significantly moderate the association between psychological contracts and job trust.
“Our study finds that AI has no significant impact on employees’ trust of the company they are working for and has no notable effects on AI Adoption*Job Engagement -> Trust (H2m: not significant) and AI Adoption*Psychological Contract -> Trust (H3m: not significant) relationships.”
Quote in the paperSubstantial claim- Rests on an assumption: The cross-sectional survey data can support causal or directional conclusions about AI adoption's effects on psychological contracts, engagement, and trust.
- Findingown data
AI adoption reduces employee engagement.
“Our findings show that the adoption of AI lowers levels of employee engagement.”
Quote in the paperSubstantial claim - Findingown data
In the authors' survey, psychological contracts had a positive effect on employee engagement.
“The finding from our extensive survey shows that employee engagement is affected positively by psychological contracts.”
Quote in the paperSubstantial claim - Findingown data
AI adoption reduced the strength of the positive association between psychological contracts and job engagement.
“our study exposes AI adoption weakens the positive relationship between psychological contract and job engagement (H1m: β = −0.472; - t = 1.640, p < 0.1).”
Quote in the paperSubstantial claim- Rests on an assumption: The cross-sectional survey data can support causal or directional conclusions about AI adoption's effects on psychological contracts, engagement, and trust.
- Findingown data
Employees' psychological contracts had a statistically significant positive association with their trust.
“We find that psychological contracts had a significant, positive effect on job engagement and on trust.”
Quote in the paperSubstantial claim- Rests on an assumption: The cross-sectional survey data can support causal or directional conclusions about AI adoption's effects on psychological contracts, engagement, and trust.
- Findingown data
AI adoption reduces employee engagement regardless of whether the psychological contract is transactional or relational.
“the fall in employee engagement does not appear to be related to the type of psychological contract.”
- Also stated in: § Discussion and implications · plain
“employee engagement falls due to AI adoption whether or not workers had a transactional or relational contract.”
Quote in the paperSubstantial claim - Also stated in: § Discussion and implications · plain
- Findingown data
AI adoption weakens the positive relationships between psychological contracts and job engagement.
“AI adoption weakens positive relationships between psychological contracts and job engagement.”
Quote in the paperSubstantial claim - Findingown data
Job engagement significantly mediates the relationship between psychological contracts and employee trust.
“significant mediating effects of job engagement between psychological contracts and employee trust suggests that employee engagement continues to be a vital factor to gain employee trust.”
Quote in the paperSubstantial claim - Study design and conductreasoning
PLS-SEM is a more appropriate method than other tests for examining this study's hypotheses.
“Thus, we posit that PLS-SEM is better than other tests as an appropriate method to examine this study’s research hypotheses”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Ringle, Sarstedt and Straub (2012) source
- Interpretationreasoning
AI adoption leads to a third form of psychological contract, which the authors call Alienational.
“A further re-examination of the extant literature leads us to posit that AI adoption fosters the creation of a third type of psychological contract, which we term “Alienational”.”
Quote in the paperSubstantial claim - Study design and conductown data
All constructs have adequate reliability, with composite reliability above 0.7.
“The Composite Reliability (CR) of all the constructs is more than 0.7, suggesting adequate level of reliability.”
Quote in the paperSubstantial claim - Interpretationreasoning
Job engagement fully mediates the link between psychological contracts and job trust.
“This result suggests the full mediation effect of job engagement on relationships between psychological contract and job trust.”
Quote in the paperSubstantial claim- Rests on an assumption: The cross-sectional survey data can support causal or directional conclusions about AI adoption's effects on psychological contracts, engagement, and trust.
- Premiseown data
Fulfillment of psychological contracts has a positive effect on employee engagement.
“Psychological contract fulfilment has a positive impact on employee engagement (Chambel & Oliveira-Cruz, 2010).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Chambel & Oliveira-Cruz, 2010 source
- Premisecitation
Employee engagement significantly affects employee commitment, satisfaction, and performance.
“There is some consensus among management scholars that employee engagement has significant impact on employee commitment, satisfaction and performance outcomes (Suhartanto, Dean, Nansuri, & Triyuni, 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Suhartanto, Dean, Nansuri, & Triyuni, 2018 source
- Premisecitation
Technology usage is significantly related to perceived job insecurity.
“Nam (2019) examined technology usage, expected job sustainability and security with 2001 survey data in the U.S. and found that there is a significant relationship between technology usage and perceptions of job insecurity.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Nam, 2019 source
- Interpretationreasoning
Employees who lack sufficient job engagement are less likely to develop trust from their psychological contracts.
“Our research indicates that without sufficient engagement with their jobs, employees are less likely to develop trust based on their psychological contracts.”
Quote in the paperSubstantial claim- Rests on an assumption: The cross-sectional survey data can support causal or directional conclusions about AI adoption's effects on psychological contracts, engagement, and trust.
- Interpretationown data
The study is the first to empirically demonstrate that AI adoption lowers employee engagement.
“to our knowledge, our study is the first to show this effect empirically.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Rikakis, Kelliher, Huang, & Sundaram, 2018 source
- Premisecitation
Violations of psychological contracts reduce trust between employees and employers.
“Violations of psychological contracts decrease levels of trust between employee and employer (Robinson and Rousseau, 1994, Rousseau, 1995).”
Quote in the paperSubstantial claim0 of 2 sources checked - Study design and conductown data
The measurement model has good validity.
“Table 4 below suggests good validity of the measurement model.”
Quote in the paperSubstantial claim - Premisecitation
Workers with transactional contracts stay engaged as long as the monetary reward matches their sense of fairness and equity.
“They are engaged with the employer for as long as the amount of monetary reward matches their perception of fairness and equity (Rousseau, 1990).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Rousseau, 1990 source
- Interpretationown data
Transactional contracts are significantly better than alienational contracts.
“our study shows that transactional contracts are significantly better than alienational contracts.”
Quote in the paperSubstantial claim - Interpretationreasoning
Higher employee engagement and trust lead to positive outcomes in the era of AI technologies.
“Higher levels of employee engagement and trust lead to positive outcomes in the era of AI technologies.”
Quote in the paperNot a substantial claim - Interpretationreasoning
AI implementation that leads workers to perceive their contract as alienational will move organizations away from achieving SDG 8.
“the implementation of AI that leads to workers perceiving that their contract is alienational will move organizations away from rather than towards the achievement of SDG 8.”
Quote in the paperSubstantial claim - Interpretationreasoning
The existing categories of transactional and relational contracts cannot fully explain the reduction in employee engagement.
“We determine that the current categories of transactional and relational contracts are insufficient to explain the reduction employee engagement.”
Quote in the paperSubstantial claim - Interpretationreasoning
Conventional relational and transactional contracts do not fully explain the interplay between AI advancements and psychological contracts.
“This means conventional relational and transactional contracts do not fully explain the interplay between AI technological advancements and psychological contracts.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 22
- May combine two claims. 11
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationcitationDecent work requires an in-depth understanding of workers and their context.
“It also requires an in-depth understanding of workers and their context (Cowls, King, Taddeo, & Floridi, 2019), particularly those with disabilities and other special needs (Lillywhite & Wolbring, 2020).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Cowls, King, Taddeo, & Floridi, 2019 source
- cites Lillywhite & Wolbring, 2020 source
The Introduction (page not provided) identifies workplace impacts of AI/ML on disabled people, and the Conclusions (page not provided) call for research into its effects on their lived situations. This supports paying particular attention to disabled people, but the paper does not extend that point to workers with other special needs or establish a general requirement for decent work. The broader claim about understanding workers is attached to a different citation. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAI has the potential to improve society by addressing issues such as worker inclusion, gender discrimination and sexual harassment at work, and cyberbullying.
“AI has the potential to improve society by addressing issues such as improving worker inclusion (Lillywhite & Wolbring, 2020), eliminating gender discrimination and sexual harassment at work (Cowls et al., 2019) and reducing cyberbullying (Kumari, Singh, Dwivedi, & Rana, 2019).”
Quote in the paperNot a substantial claim1 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAI has the potential to promote inclusion of workers in at-risk groups, such as disabled workers.
“AI has the potential to promote inclusion of workers in at risk groups, such as disabled workers (Lillywhite & Wolbring, 2020).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Lillywhite & Wolbring, 2020 source
The Introduction says AI/ML may affect disabled people through employers’ workplace use, and §4.2.1 reports highly techno-optimistic coverage of robotics and disabled people’s employment. The paper does not establish that AI promotes workplace inclusion, or extend that possibility to other at-risk groups. (LLM, conf=0.78)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningWorkers with relational contracts are positively engaged with their employers.
“It is perhaps unsurprising that workers with relational contracts are positively engaged with employers.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataBoth relational and transactional psychological contracts increase employee engagement.
“This result suggests that both relational and transactional psychological contracts engender higher levels of employee engagement.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningThe survey included reverse-coded questions to encourage careful reading and answering.
“Furthermore, our study has reverse questions to ensure respondents read and answer the survey questions carefully.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationRelational contracts are linked to mutually positive outcomes, while transactional contracts are linked to negative outcomes such as lower engagement and commitment.
“Because of this focus, relational contracts are associated with mutually positive outcomes for both employers and workers; whereas transactional contracts, because of the materialistic and short-term focus, are associated with more negative outcomes, including lower engagement and commitment (Raja et al., 2004, Rousseau, 1995).”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationGreater trust leads to benefits such as a better working environment, more teamwork and more open communication.
“prior research suggests that greater levels of trust lead to several benefits including a better working environment, greater levels of team working and more open communication (Jones and George, 1998, Kiffin-Petersen and Cordery, 2003).”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationWorkers with transactional contracts are aware that their contribution is recognized through financial remuneration without further commitments or demands.
“They are aware that their contribution is recognized by way of a financial remuneration with no further commitments or demands to be made (Jensen et al., 2010).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Jensen et al., 2010 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenA pilot study was conducted to improve the questionnaire and test the validity and reliability of measurement items.
“Before collecting the main survey data, full ethical approval was received and a pilot study was conducted to improve questionnaire design and to test the robustness of validity and reliability measurement items.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationEmployee engagement is essential for organizational success.
“The extant literature shows that employee engagement is vital to organizational prosperity (Bal et al., 2013b, Lin, 2010, Rayton et al., 2012, Saks, 2006).”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationBreaches of psychological contracts lead to lower job engagement, job satisfaction, and job trust.
“Breaching psychological contracts or organizations’ promises leads to negative effects, poorer behavioral standards and lower cognitive work outputs, such as decreases in job engagement (Bal et al., 2013a), job satisfaction (Conway et al., 2011, Tomprou et al., 2012) and job trust (Pate et al., 2000).”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationAI has greater potential to replace workers in tasks needing mechanical and analytical intelligence, and less potential in tasks needing intuitive or empathetic intelligence.
“Therefore, there is higher potential for AI to be deployed – and replace workers – in tasks that require mechanical and analytical intelligence, and limited potential in tasks that require intuitive or empathetic intelligence.”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationWorkers with relational contracts both influence and are influenced by their environment.
“Workers that have relational contracts both influence and are influenced by the environment (Thomas et al., 2003).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Thomas et al., 2003 source
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
InterpretationreasoningDecent work requires closer working relationships between employers and workers.
“This suggests decent work requires closer working relationships between employers and workers.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationWorkers with relational psychological contracts have closer, longer-lasting and deeper ties.
“Workers with relational psychological contracts have closer, more long-lasting and deeper ties (Rousseau, 1990, Parks and Schmedemann, 1994).”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
Interpretationown dataAI adoption undermines decent work, contrary to SDG 8's aim of strengthening relational contracts.
“Whereas SDG 8 is premised on strengthening relational contracts between an organization and its employees, the adoption of AI has the opposite effect, detracting from the very nature of decent work.”
Quote in the paperSubstantial claim- Rests on an assumption: The West London survey sample is representative of the broader working population affected by AI, so the findings can inform SDG 8 globally.
Classified as probably not a substantial claim.
PremisecitationEmployee engagement is positively related to job trust.
“Previous scholars found positive relationships between employee engagement and job trust (Agarwal, 2014, Ertürk and Vurgun, 2015, Mulki et al., 2006).”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
Study design and conductown dataAll constructs show convergent validity, with average variance extracted above 0.5 and square roots of AVE exceeding inter-construct correlations.
“In terms of Convergent Validity, Average Variance Extracted (AVE) are all above 0.5. All the square roots of AVE are also greater than inter-construct correlations.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenThe study is the first to examine changes to psychological contracts caused by AI adoption.
“It is the first to examine changes to psychological contracts due to AI adoption.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
Interpretationnone givenThe study contributes to and advances the literature on the impact of AI adoption on relationships among psychological contract, job engagement and employee trust.
“This study contributes to and advances the literature on the impact of AI adoption on relationships among psychological contract, job engagement and employees trust.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
PremisecitationFor AI to deliver its social good promise, understanding the context of its deployment is crucial.
“for AI to deliver in its social good promise, it is crucial to understand the context in which it is deployed (Cowls et al., 2019).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Cowls et al., 2019 source
Probably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationnone givenThe study proposes alienational as a new type of psychological contract and theorizes its characteristics.
“This study proposes alienational as a new type of psychological contract and has theorized its characteristics.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThe new concept of alienational psychological contracts will play a larger role in framing employer-worker relationships as AI adoption spreads.
“the new concept of alienational psychological contracts, introduced in this paper, will play a bigger role in framing relationships between employers and workers as AI adoption spreads.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenA limitation of the study is that it focuses on only one SDG.
“A limitation of this study is that it concentrates on one SDG.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPressure to adopt AI technologies is likely to grow due to competition, consumer preferences or regulatory requirements.
“The pressure to use AI technologies is likely to increase, whether that is due to increased levels of competition, consumer preferences or regulatory requirements (Makridakis, 2017, Pluta and Rudawska, 2016, Zarouali et al., 2018).”
Quote in the paperNot a substantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
InterpretationreasoningRelational, transactional and alienational contracts can be placed on a theoretical continuum of employer-employee relationships.
“we suggest that relational. transactional and alienational contracts can be located on a theoretical continuum of employer-employee relationships.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
InterpretationreasoningOn this continuum, relational contracts are nearer the interdependent end, alienational contracts nearer the independent end, and transactional contracts in between.
“On this continuum, relational contracts are closer to the interdependent end and alienational contracts are closer to the independent end of the continuum, with transactional contracts located between the two.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
The West London survey sample is representative of the broader working population affected by AI, so the findings can inform SDG 8 globally.
“The survey instrument was distributed to individuals in West London, UK, which has large companies including Heathrow, Canon Inc., Sharp Corporation, Marks and Spencer and GlaxoSmithKline as well as numerous small-and-medium-sized employers.”
“Our study focuses on SDG 8 - Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all.”
The paper relies on this without support.
The cross-sectional survey data can support causal or directional conclusions about AI adoption's effects on psychological contracts, engagement, and trust.
“Our findings are based on the analysis of 232 survey results, where we tested the effects of AI adoption on workers’ psychological contract, engagement and trust.”
The paper relies on this without support.
The survey items used for AI adoption validly measure AI adoption in the workplace.
“Questions for AI adoption and psychological contract were derived from the existing literature.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Claim that AI lowers engagement conflicts with its positive reported effect
MajorThe reported direct effect of AI adoption on job engagement is positive and significant, whereas the discussion describes adoption as lowering engagement. The negative interaction with psychological contract does not make the reported direct effect negative.
“Our findings show that the adoption of AI lowers levels of employee engagement.”
“| AI Adoption -> Job Engagement | 0.413 | 2.260 | ** | |”
Abstract claims a significant trust effect that the results reject
MajorThe abstract says psychological contracts significantly increased trust, but the hypothesis test reports a nonsignificant effect on trust and rejects H3.
“We find that psychological contracts had a significant, positive effect on job engagement and on trust.”
“| Psychological Contract -> Trust | 0.201 | 1.490 | ns | H3 Rejected |”
H3 has two different reported t-values
MinorTable 5 gives the psychological-contract-to-trust test a t-value of 1.490, while the results prose gives it as 1.049.
“Our study reveals that psychological contracts have no significant impact on employees’ trust (H3: β = 0.201; t = 1.049, ns).”
“| Psychological Contract -> Trust | 0.201 | 1.490 | ns | H3 Rejected |”
Social-enterprise percentage does not match its count
MinorFourteen respondents out of 232 are about 6.0%, not the reported 14%.
Reported 14 · recomputed 6.034483
“| Social Enterprise | 14 | 14 |”
Organization-type counts exceed the stated sample
MinorThe five organization-type counts total 247, exceeding the stated sample of 232 by 15.
Reported 232 · recomputed 247
“| Organization Type | | | | Private sector organization | 100 | 43.1 | | Public sector organization | 104 | 44.8 | | Charity | 11 | 4.7 | | Social Enterprise | 14 | 14 | | Other | 18 | 7.8 |”
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“Since job trust relies on the relationship between employee and employer (Guest, 2004), psychological contract breaches can damage employees’ well-being, which leads to detrimental effects on company performance (van den Heuvel et al., 2017).”
Experiencing organizational change in Greece: the framework of psychological contract
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“On the other hand, it leads to more autonomy, increased productivity (Doucouliagos, 1995), job satisfaction, commitment and trust (Timming, 2012).”
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“[173] find that the adoption of AI has the opposite effect and is detrimental to decent work.”
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“Nevertheless, little research examines the impact of AI adoption in HRM on EX and EE (Braganza et al., 2021).”
BackgroundCheng, B., Lin, H., & Kong, Y. (2023) · Journal of Business Research · doi:10.1016/j.jbusres.2023.113987 · Cited by 272 · see citing works
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“9,77 For employees who cope well with AI challenges, organizations should reward and praise them, and ignite their enthusiasm, proactiveness, and innovation, and promote their AI adoption.”
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Giudice, M. D., Scuotto, V., Orlando, B., & Mustilli, M. (2021) · Human Resource Management Review · doi:10.1016/j.hrmr.2021.100856 · Cited by 203 · see citing works
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“Moreover, previous research has mainly focused on how to inhibit the process by which AI’s contextual variables weaken the positive effects of employee perceptions on outcomes (e.g., Braganza et al., 2021).”
Teng, R., Zhou, S., Zheng, W., & Ma, C. (2023) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-02-2023-0240 · Cited by 180 · see citing works
Zhang, A., Boltz, A., Wang, C. W., & Lee, M. K. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3501866 · Cited by 166 · see citing works
“However, other studies focusing on gig workers discovered that heavy use of AI management has a pernicious effect on worker psychological contracts and engagement [11, 92].”
BackgroundWang, W., Chen, L., Xiong, M., & Wang, Y. (2021) · Information Systems Frontiers · doi:10.1007/s10796-021-10154-4 · Cited by 173 · see citing works
“When an organisation undergoes technical changes, like adopting an innovation or new technology, employees ’ acceptance of or resistance to these changes will depend on their level of engagement (Braganza et al., 2020; Brock & von Wangenheim, 2019).”
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“(Braganza, Chen, Canhoto, & Sap, 2021).”
Li, W., Qin, X., Yam, K. C., Deng, H., Chen, C., Dong, X., Jiang, L., & Tang, W. (2024) · Tourism Management · doi:10.1016/j.tourman.2024.104935 · Cited by 160 · see citing works
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“As a result, AI-enabled solutions in HRM sub-functional domains like talent development, video interviews, workforce diversity (Maity 2019), performance assessment, talent assessment (Albert 2019), and employee engagement (Braganza et al. 2021a) are becoming more popular.”
Yousaf, S., Rasheed, M. I., Kaur, P., Islam, N., & Dhir, A. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2022.01.043 · Cited by 125 · see citing works
“Workers who are more engaged at work are considered to be more connected to their work tasks (Braganza, Chen, Canhoto, & Sap, 2020).”
BackgroundShaping a View on the Influence of Technologies on Sustainable Tourism
Loureiro, S. M. C., & Nascimento, J. (2021) · Sustainability · doi:10.3390/su132212691 · Cited by 133 · see citing works
“Figure 5 exhibits the most influential articles, where some examples, such as [30,40,41] stand out from the rest.”
BackgroundAdoption of artificial intelligence: a TOP framework-based checklist for digital leaders
Tursunbayeva, A., & Chalutz-Ben Gal, H. (2024) · Business Horizons · doi:10.1016/j.bushor.2024.04.006 · Cited by 102 · see citing works
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“Employees exhibit concerns regarding machines’ potential displacement of their roles while lacking confidence in the outcomes of intelligent decision-making (Braganza et al., 2021; Schlicker et al., 2021).”
Yin, Z., Kong, H., Baruch, Y., Decosta, P. L., & Yuan, Y. (2024) · Tourism Management · doi:10.1016/j.tourman.2024.104966 · Cited by 120 · see citing works
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“Employee participation was one of the organizational factors affecting adoption of AI, which shows that transparency, team building and reciprocal communication between managers and employees can increase the rate of employee participation (Braganza et al., 2020).”
BackgroundArtificial intelligence or human: when and why consumers prefer AI recommendations
Jin, F., & Zhang, X. (2023) · Information Technology and People · doi:10.1108/itp-01-2023-0022 · Cited by 89 · see citing works
AI and employee wellbeing in the workplace: An empirical study
Valtonen, A., Saunila, M., Ukko, J., Treves, L., & Ritala, P. (2025) · Journal of business research · doi:10.1016/j.jbusres.2025.115584 · Cited by 120 · see citing works
Practice co-evolution: Collaboratively embedding artificial intelligence in retail practices
Bonetti, F., Montecchi, M., Plangger, K. A., & Schau, H. J. (2022) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-022-00896-1 · Cited by 92 · see citing works
“However, although AI has been successfully implemented in some cases (e.g., Braganza et al., 2021; Davenport et al., 2020; Park et al., 2021), many retailers struggle to maintain momentum following an initial AI investment hype and encounter resistance to change among their employees (Dua et al.,…”
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Zahoor, N., Donbesuur, F., Christofi, M., & Miri, D. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.121610 · Cited by 98 · see citing works
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“According to a survey of > 2500 executives and 17 leading AI experts, 40% of the organizations investing in AI are unable to report business gains from AI (Ransbotham et al., 2019), and it can even reduce the employees ’ job engagement (Braganza et al. 2021).”
BackgroundChen, H., Wang, P., & Hao, S. (2024) · Computers in Human Behavior · doi:10.1016/j.chb.2024.108448 · Cited by 83 · see citing works
Artificial Intelligence: Intensifying or mitigating unemployment?
Qin, M., Wan, Y., Dou, J., et al. (2024) · Technology in Society · doi:10.1016/j.techsoc.2024.102755 · Cited by 68 · see citing works
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“Rogue machines” and crisis communication: When AI fails, how do companies publicly respond?
Prahl, A., & Pin, W. G. W. (2021) · Public Relations Review · doi:10.1016/j.pubrev.2021.102077 · Cited by 68 · see citing works
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Voola, R., Bandyopadhyay, C., Azmat, F., Ray, S., & Nayak, L. (2022) · Australasian Marketing Journal (AMJ) · doi:10.1177/14413582221079431 · Cited by 60 · see citing works
Jeong, J., & Jeong, I. (2024) · Current Psychology · doi:10.1007/s12144-024-07135-6 · Cited by 72 · see citing works
“Previous studies have primarily focused on AI’s impact on other behavioral outcomes such as job performance (Tang et al., 2023), job engagement (Braganza et al., 2021), and work-related attitudes (Li et al., 2024), neglecting the critical aspect of creativity.”
Cardon, P. W., Ma, H., & Fleischmann, C. (2021) · International Journal of Business Communication · doi:10.1177/23294884211037009 · Cited by 58 · see citing works
“Similarly, emerging research about AI used for people analytics suggests that such factors such as organizational commitment and loyalty may suffer (Braganza et al., 2021; Newman et al., 2020).”
BackgroundMotivation as an indicator of performance and productivity from the perspective of employees
Uka, A., & Prendi, A. (2021) · Management & Marketing · doi:10.2478/mmcks-2021-0016 · Cited by 53 · see citing works
“Others prefer to be motivated by being acknowledged or recognized by the managers in front of the colleagues who might look at the employee as a role model in the workplace (Doyle, 2005; Braganza, Chen, Canhoto, & Sap, 2021).”
Arias-Pérez, J., & Huynh, T. (2023) · Industrial Marketing Management · doi:10.1016/j.indmarman.2023.03.005 · Cited by 53 · see citing works
Drivers of salespeople’s AI acceptance: what do managers think?
Chen, J., & Zhou, W. (2022) · Journal of Personal Selling and Sales Management · doi:10.1080/08853134.2021.2016058 · Cited by 59 · see citing works
“Thus, it is important to build the confidence among employees in believing AI’s benefits (Braganza et al. 2021).”
BackgroundSharma, R., Jabbour, A. B. L. D. S., Jain, V., & Shishodia, A. (2021) · Journal of Enterprise Information Management · doi:10.1108/jeim-07-2021-0293 · Cited by 51 · see citing works
Braganza, A., Chen, W., Canhoto, A. I., & Sap, S. (2021) · Production Planning & Control · doi:10.1080/09537287.2021.1882692 · Cited by 56 · see citing works
“As jobs become more gigified, workers take up piecemeal, temporary work, leading not only to jobs becoming precarious but also workers’ identity as experts or professionals becoming precarious (Braganza et al., 2020; Petriglieri, Ashford and Wrzesniewski, 2019).”
BackgroundSelf-citationMitigating employee resistance and achieving well-being in digital transformation
Valtonen, A., & Holopainen, M. (2025) · Information Technology and People · doi:10.1108/itp-05-2024-0701 · Cited by 76 · see citing works
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Decoding AI readiness: An in-depth analysis of key dimensions in multinational corporations
Tehrani, A. N., Ray, S., Roy, S. K., Gruner, R. L., & Appio, F. P. (2023) · Technovation · doi:10.1016/j.technovation.2023.102948 · Cited by 60 · see citing works
Application of AI/ML techniques in achieving SDGs: a bibliometric study
Meitei, A. J., Rai, P., & Rajkishan, S. S. (2023) · Environment Development and Sustainability · doi:10.1007/s10668-023-03935-1 · Cited by 47 · see citing works
“Braganza et al. (2021) test the impact of AI adoption on workers’ psychological contract involvement based on an analysis of 232 questionnaires from businesses based in West London.”
Can artificial intelligence’s limitations drive innovative work behaviour?
Zirar, A. (2023) · Review of Managerial Science · doi:10.1007/s11846-023-00621-4 · Cited by 53 · see citing works
“However, a core issue for workers with workplace AI is the loss of employment (Braganza et al. 2020 ; Rampersad 2020 ).”
BackgroundInfluentialGenerative AI as a catalyst for HRM practices: mediating effects of trust
Prasad, K., & De, T. (2024) · Humanities and Social Sciences Communications · doi:10.1057/s41599-024-03842-4 · Cited by 81 · see citing works
“Braganza et al. (2021) investigated the effects of psychological contracts, job engagement, and trust in the context of the adoption of AI tools.”
Armenia, S., Franco, E., Iandolo, F., Maielli, G., & Vito, P. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.123131 · Cited by 46 · see citing works
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Kim, B., Kim, M., & Lee, J. (2025) · Humanities and Social Sciences Communications · doi:10.1057/s41599-025-05040-2 · Cited by 63 · see citing works
“This model is especially applicable in scenarios of AI adoption within workplaces, which introduces substantial job demands (Braganza et al. 2021; Brougham and Haar, 2018; Budhwar et al. 2023).”
Gvili, Y., & Levy, S. (2023) · Journal of Business Research · doi:10.1016/j.jbusres.2023.114131 · Cited by 47 · see citing works
The influence of the psychological contract on employee engagement in a South African bank
Ngobeni, D. A., Saurombe, M. D., & Joseph, R. M. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.958127 · Cited by 38 · see citing works
“These relational aspects are still important, however, the recent insecure and changing work environment has brought a shift so that we are starting to see transactional exchange becoming more prevalent (Braganza et al., 2021).”
BackgroundMachine learning-based automation of accounting services: An exploratory case study
Bavaresco, R. S., Nesi, L. C., Barbosa, J. L. V., Antunes, R. S., Righi, R. D. R., da Costa, C. A., Vanzin, M., Dornelles, D., Junior, S. C., Gatti, C., et al. (2023) · International Journal of Accounting Information Systems · doi:10.1016/j.accinf.2023.100618 · Cited by 44 · see citing works
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Humanizing GenAI at work: bridging the gap between technological innovation and employee engagement
Manresa, A., Sammour, A., Mas‐Machuca, M., Chen, W., & Botchie, D. (2024) · Journal of Managerial Psychology · doi:10.1108/jmp-05-2024-0356 · Cited by 49 · see citing works
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“As human beings, employees depend on their employers for decent work; this means, at a minimum, not being exploited or harmed and being treated with dignity regardless of one’s organizational role (Braganza et al., 2020).”
BackgroundPerson–Skill Fit: Why a New Form of Employee Fit Is Required
Gal, H. C. (2023) · Academy of Management Perspectives · doi:10.5465/amp.2022.0024 · Cited by 36 · see citing works
Bai, S., Zhang, X., Yu, D., & Yao, J. (2024) · Frontiers in Public Health · doi:10.3389/fpubh.2024.1449561 · Cited by 47 · see citing works
Mekawy, M. A., Elbaz, A. M., Shabana, M. M. M., & Soliman, M. S. A. (2021) · Tourism and Hospitality Research · doi:10.1177/14673584211054602 · Cited by 33 · see citing works
Khandelwal, K., Upadhyay, A. K., & Rukadikar, A. (2024) · Human Resource Development International · doi:10.1080/13678868.2024.2375935 · Cited by 35 · see citing works
“While potentially enhancing organisational efficiency, AI impacts employees and tasks (Braganza et al., 2020).”
Ghosh, D., Ghosh, R., Chowdhury, S. R., & Ganguly, B. (2024) · Management Review Quarterly · doi:10.1007/s11301-023-00393-x · Cited by 41 · see citing works
Artificial intelligence: the way ahead for employee engagement in corporate India
Saxena, M., & Mishra, D. K. (2023) · Global Knowledge, Memory and Communication · doi:10.1108/gkmc-09-2022-0215 · Cited by 41 · see citing works
AI in Human Resource Management: Literature Review and Research Implications
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“Concerns about data privacy and security also come into play as HR departments handle sensitive employee information (Johnson et al., 2008; Piccoli et al, 2001; Ritzer, 2011; Duggan et al., 2020; Braganza et al., 2021; Jeske & Santuzzi, 2015).”
Artificial intelligence to manage workplace bullying
de Obesso, M. D. L. M., Rivero, C. A. P., & Márquez, Ó. C. (2023) · Journal of Business Research · doi:10.1016/j.jbusres.2023.113813 · Cited by 31 · see citing works
Employee engagement and the service profit chain in a quick-service restaurant organization
Lambert, A., Jones, R. P., & Clinton, S. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2021.06.009 · Cited by 39 · see citing works
Costa, A., Crupi, A., Césaroni, F., & Abbate, T. (2025) · Technovation · doi:10.1016/j.technovation.2025.103335 · Cited by 42 · see citing works
The ‘bright’ side of innovation management for international new ventures
Giudice, M. D., Scuotto, V., Papa, A., & Singh, S. K. (2023) · Technovation · doi:10.1016/j.technovation.2023.102789 · Cited by 28 · see citing works
Verboom, A. D. P. R., Pais, L., Zijlstra, F., Oswald, F. L., & dos Santos, N. R. (2025) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-025-00546-w · Cited by 42 · see citing works
“Given AI’s transformative power AI, researchers emphasize the need to further study its influence and conceive good integration practices (Braganza et al., 2021; Desh-pande et al., 2021; Özkiziltan & Hassel, 2021).”
Jiang, F., Wang, L., Li, J.-X., & Liu, J. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.768440 · Cited by 30 · see citing works
“At the same time, these smart technologies have a significant impact on jobs and tasks in addition to generating potential improvements in organizational efficiency (Braganza et al., 2021).”
BackgroundMoin, M. F., Behl, A., Zhang, J. Z., & Shankar, A. (2025) · Information Systems Frontiers · doi:10.1007/s10796-024-10561-3 · Cited by 29 · see citing works
“In contrast, favorable PC fulfillment aids employers with workers’ dedication and job contentment (Agarwal, 2014; Braganza et al., 2021).”
InfluentialThe Impact of Artificial Intelligence on Hospitality Employees’ Work Outcomes
Ersoy, A., & Ehtíyar, R. (2023) · Advances in Hospitality and Tourism Research (AHTR) · doi:10.30519/ahtr.1264966 · Cited by 31 · see citing works
Understanding Organizations’ Artificial Intelligence Journey: A Qualitative Approach
Radhakrishnan, J., Gupta, S., & Prashar, S. (2022) · Pacific Asia journal of the Association for Information Systems · doi:10.17705/1pais.14602 · Cited by 26 · see citing works
Identify the effect of government regulations on the live streaming e-commerce
Shou, M., Yu, J., & Dai, R. (2023) · Industrial Management & Data Systems · doi:10.1108/imds-10-2022-0655 · Cited by 31 · see citing works
Dark sides of algorithmic control in app-based gig work: An objectification perspective
Yang, Y., Chi, M., Bi, X., & Xu, Y. (2025) · Journal of Business Research · doi:10.1016/j.jbusres.2025.115407 · Cited by 30 · see citing works
Impact of artificial intelligence (AI) on operational performance: The role of dynamic capabilities
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Decent Work, Employee Satisfaction, and the Mediating Role of Social Courage in Reducing Turnover
Namal, M. K., Tufan, C., Mert, İ. S., & Arun, K. (2024) · SAGE Open · doi:10.1177/21582440241242060 · Cited by 32 · see citing works
“For example, decent work, employee commitment (Braganza et al., 2021), job satisfaction (Seubert et al., 2021), and organizational commitment are positively related (DeConinck & Stilwell, 2004).”
Xia, M. (2023) · SHS Web of Conferences · doi:10.1051/shsconf/202315503022 · Cited by 28 · see citing works
“Braganza et al. investigated AI adoption as a moderating factor that decreased the positive relationship between psychological contract and job engagement [32].”
BackgroundMao, H., Fu, Y. M., Cao, G., & Chen, S. (2021) · Environmental Science and Pollution Research · doi:10.1007/s11356-021-15934-8 · Cited by 30 · see citing works
Alzamel, S. (2024) · Sustainability · doi:10.3390/su16177605 · Cited by 31 · see citing works
Exploring psychological well‐being in business and economics arena: A bibliometric analysis
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“According to recent research, technological innovation may significantly impact both job design and employee performance.(95) Artificial intelligence technology, advanced analytics, digitalization, and automation are all posing challenges to workers' workflows, which can be irritating for some.”
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Unravelling psychological contracts in a digital age of work: a systematic literature review
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Preparing to work with artificial intelligence: assessing WHS when using AI in the workplace
Cebulla, A., Szpak, Z. L., & Knight, G. (2023) · International Journal of Workplace Health Management · doi:10.1108/ijwhm-09-2022-0141 · Cited by 25 · see citing works
Healthcare Employee Engagement Using the Internet of Things: A Systematic Overview
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AI learning intention, learning engagement and behavioral outcomes: an empirical study
Bhatt, P., & Muduli, A. (2024) · Journal of Management Development · doi:10.1108/jmd-05-2024-0173 · Cited by 21 · see citing works
The Role of Artificial Intelligence in Achieving the United Nations Sustainable Development Goals
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“When addressing social impacts, the threats of resistance of job categories in different fields through the employment of AI could worsen economic inequalities and the SDGs, as the targets for inclusive and sustainable economic growth concerning decent work might be hindered (Braganza et al., 2021).”
BackgroundInfluentialNammari, R. H. A., Simsekler, M. C. E., Gabor, A. F., & Qazi, A. J. (2022) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2022.3209879 · Cited by 21 · see citing works
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“The shift towards more specialized IT profiles may displace low-skilled positions, and AI applications are expected to fill permanent jobs, with short-term tasks being outsourced (Braganza et al., 2021).”
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A new competitive edge: crafting a service climate that facilitates optimal human–AI collaboration
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“role of self-extension in fostering psychological contract which ultimately enhances the engagement of employees in breakthrough innovation.(58)”
BackgroundCan Decent Work Explain Employee-Level Outcomes? The Roles of Work–Family and Family–Work Conflict
Aybas, M., Özçelik, G., & Uyargil, C. (2022) · Sustainability · doi:10.3390/su141811488 · Cited by 21 · see citing works
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- Authors
- Braganza, A., Chen, W., Canhoto, A., & Sap, S.
- Affiliations
- Brunel University of London (GB)
- Abdullah Gül University (TR)
- Corresponding author
- Chen, Weifeng
- Venue
- Journal of Business Research
- Publisher
- Elsevier BV
- Published
- 2021-07
- Volume
- 131
- Pages
- 485-494
- ISSN
- 0148-2963 (ISSN-L)
- PMC
- PMC7434459
- OpenAlex
- W3075346249
- Cited by
- 431
- References
- 92
- Citations by year
- 2026: 113 · 2025: 120 · 2024: 81 · 2023: 64 · 2022: 35 · 2021: 16 · 2020: 2
- FWCI
- 31.60
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Business Research (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Brunel University Research Archive (BURA) (Brunel University London) (acceptedVersion, cc-by-nc-nd)
- RePEc: Research Papers in Economics (submittedVersion)
- Brunel University Research Archive (BURA) (Brunel University London) (submittedVersion, cc-by-nc-nd)
- Topics
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Job Satisfaction and Organizational Behavior
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
- Health Sciences › Health Professions › General Health Professions › Employment and Welfare Studies
- Keywords
- artificial intelligence adoption, psychological contract, work engagement, employee trust, productive employment, decent work, SDG 8, human-AI relationship, employee-organization relationship
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