The purpose of this study is to explore the effect of AI-powered chatbots on LIS professionals’ job performance using Goal-Setting Theory (GST). AI-Powered Chatbots (AIPC) serve as an independent variable, and a relation was observed with Innovation Capability (IC), Soft Skills (SS), and Job Performance (JP). The study employs quantitative survey techniques. Online survey questionnaire was used as a data collection tool from 300 LIS professionals working in the academic universities of Islamabad and Lahore, Pakistan. Data was collected through non-probability sampling. Sample size was determined using literature. This study used SmartPLS to examine the relationship between independent and dependent variables. The results showed a significant relationship between AIPC, SS, IC, and JP. The findings indicate that AIPC can be used to enhance the SS, IC, and JP of LIS professionals. The findings also reveal that AIPC adoption not only improves efficiency in the work environment but fosters adaptability, creativity, and collaboration between LIS professionals to strengthen the positive organizational outcome. The mediating role of IC, and SS was also found significant on LIS professional's JP. In the context of Library and Information Sciences (LIS), this is the first study to explore the effect of AIPC on JP with the mediating role of SS and IC. This study can help in practical application of policy making and administrative decision making regarding the job performance of LIS professionals in an AI-driven technology-based environment.
AbusalmaA (2021) The effect of implementing artificial intelligence on job performance in commercial banks of Jordan. Management Science Letters11(7): 2061–2070. 10.5267/j.msl.2021.3.003.
2.
AharonyN (2013) Librarians’ attitudes towards mobile services. Aslib Proceedings65(4): 358–375.
3.
AhmadSAmeenKAhmadS (2021) Information professionals’ soft skills status and barriers in its development: A mixed method study. Library Management42(1/2): 80–92.
4.
AlAfnanMADishariSMohdZukiSF (2024) Developing soft skills in the artificial intelligence era: Communication, business writing, and composition skills. Journal of Artificial Intelligence and Technology. 10.37965/jait.2024.0496.
5.
AlamRIslamMAKhanAR (2019) Usage of chatbot as a new digital communication tool for customer support: A case study on banglalink. Independent Bussiness Review12(1–2): 31–37.
6.
AliIWarraichNFButtK (2025) Acceptance and use of artificial intelligence and AI-based applications in education: A meta-analysis and future direction. Information Development41(3 Special Issue: “Artificial Intelligence initiatives”): 859–874.
7.
ArifaiAMHidayatHAuliaT, et al. (2024) Optimizing sustainable supply chain performance through technological innovation: A case study of ai chatbot adoption in pt. lion parcel center. Advances in Transportation and Logistics Research7: 595–612.
8.
ArnoutBAAlshehriSM (2024) Causal relationships between the use of AI, therapeutic alliance, and job engagement among psychological service practitioners. Behavioral Sciences15(1): 21.
9.
AyindeLAjayiAOAdedejiA (2025) Reimagining the roles and skills of information professionals in the 5IR. Business Information Review42(1): 10–19.
10.
BakkerABDemeroutiEVerbekeW (2004) Using the job demands-resources model to predict burnout and performance. Human Resource Management43(1): 83–104.
11.
BakkerABVan EmmerikHVan RietP (2008) How job demands, resources, and burnout predict objective performance: A constructive replication. Anxiety, Stress & Coping21(3): 309–324.
12.
BanerjeeSAgarwalAGhoshP, et al. (2024) Boosting workplace well-being: A novel approach with a mental health chatbot for employee engagement and satisfaction. American Journal of Artificial Intelligence. 10.11648/j.ajai.20240801.12.
13.
BanoAAshrafSKhanMM, et al. (2021) Negative events at workplace and in role performance: Implications of affective events theory (AET). Journal of Contemporary Issues in Business and Government27(3). 10.47750/cibg.2021.27.03.299.
14.
BarakatKADabbousA (2019) Understanding the factors that affect the sustained use of chatbots within organizations. IADIS International Journal on WWW/Internet17(2): 71–84. https://www.iadisportal.org/ijwi/papers/2019172106.pdf
15.
BorkovskaIKolosovaHKozubskaI, et al. (2024) Integration of AI into the distance learning environment: Enhancing soft skills. Arab World English Journal (AWEJ) Special Issue on ChatGPT. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4814514
16.
BüyükgözeHÖzdemirM (2017) Examining job satisfaction and teacher performance within affective events theory. Journal of the Faculty of Education18(1): 311–311.
17.
CardonPFleischmannCLogemannM, et al. (2024) Competencies needed by business professionals in the AI age: Character and communication lead the way. Business and Professional Communication Quarterly87(2): 223–246.
18.
CarlsonDKacmarKMZivnuskaS, et al. (2011) Work-family enrichment and job performance: A constructive replication of affective events theory. Journal of Occupational Health Psychology16(3): 297–312.
19.
ChenDWangS (2024) Digital transformation, innovation capabilities, and servitization as drivers of ESG performance in manufacturing SMEs. Scientific Reports14(1): 24516.
20.
ChiHVuTNguyenHV, et al. (2023) How financial and non–financial rewards moderate the relationships between transformational leadership, job satisfaction, and job performance. Cogent Business & Management10(1). 10.1080/23311975.2023.2173850.
21.
ChiganzeTSağsanM (2022) Relationship between human capital, innovation capability and employee job performance in academic libraries in Namibia, South Africa, and Zimbabwe. Libri72(3): 317–334.
22.
ChuaJLMougammadouZLimRBT, et al. (2024) In the shoes of junior doctors: a qualitative exploration of job performance using the job-demands resources model. Frontiers in Psychology15. 10.3389/fpsyg.2024.1412090.
23.
ClarkDGillDProwseV, et al. (2017) Using goals to motivate college students: Theory and evidence from field experiments. The Review of Economics and Statistics102(4): 648–663.
DeciELRyanRM (1985) Intrinsic motivation and self-determination in human behavior. New York, NY: Springer. 10.1007/978-1-4899-2271-7.
26.
DemeroutiEBakkerABNachreinerF, et al. (2001) The job demands-resources model of burnout. Journal of Applied Psychology86(3): 499–512. https://psycnet.apa.org/buy/2001-06715-012
27.
DengHDuanSXWibowoS (2023) Digital technology driven knowledge sharing for job performance. Journal of Knowledge Management27(2): 404–425.
28.
DuanLSongHHuangX, et al. (2023) The influence of feedback on employees’ goal setting and performance in online corporate training: A moderation effect. Information and Learning Sciences124(11/12): 442–459.
29.
EdokpolorJOkosunHImafidonA, et al. (2024) Mediating effect of work burnout in the relationships between job demands and job performance of business educators. Insight: Jurnal Ilmiah Psikologi26(1): 126–141.
30.
FanXZhaoSZhangX, et al. (2023) The impact of improving employee psychological empowerment and job performance based on deep learning and artificial intelligence. Journal of Organizational and End User Computing35(3): 1–14.
31.
FatmahD (2020) Mastery of information technology and organizational learning culture impact on job performance in education institute Sabilillah East Java. Sinergi : Jurnal Ilmiah Ilmu Manajemen10(1). 10.25139/sng.v10i1.1061.
32.
GamaFMagistrettiS (2025) Artificial intelligence in innovation management: A review of innovation capabilities and a taxonomy of AI applications. Journal of Product Innovation Management42(1): 76–111.
33.
GaspariniAKautonenH (2022) Understanding artificial intelligence in research libraries – extensive literature review. LIBER Quarterly: The Journal of the Association of European Research Libraries32(1). 10.53377/lq.10934.
GuptaV (2025) Factors influencing librarian adoptions of ChatGPT technology for entrepreneurial support. Library Hi Tech. 10.1108/LHT-09-2024-0463.
39.
HairJFRingleCMSarstedtM (2011) PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice19(2): 139–152.
40.
HairJFRisherJJSarstedtM, et al. (2019) When to use and how to report the results of PLS-SEM. European Business Review31(1): 2–24.
41.
HamidAYounusM (2021) An analysis of library professionals’ communication skills: Status and effectiveness on workplace productivity. Library Philosophy and Practice (e-Journal). https://digitalcommons.unl.edu/libphilprac/4736/
42.
HamidAYounusM (2022) Why soft skills matter: Analyzing the relationship between soft skills and productivity in workplace of academic library professionals. Libri72(3): 263–277.
43.
HarisantyDAnnaNEVPutriTE, et al. (2024) Leaders, practitioners and scientists’ awareness of artificial intelligence in libraries: A pilot study. Library Hi Tech42(3): 809–825.
44.
HeGZhengXLiW, et al. (2024) The mixed blessing of leaders’ artificial intelligence (AI)-oriented change behavior: Implications for employee job performance and unethical behavior. Applied Research in Quality of Life19(2): 469–497.
45.
HewKFHuangWWangS, et al. (2025) Towards a large-language-model-based chatbot system to automatically monitor student goal setting and planning in online learning. Educational Technology & Society28(3): 112–132. https://www.jstor.org/stable/48827953
46.
HiltK (2017) What does the future hold for the law librarian in the advent of artificial intelligence? / Que réserve l’avenir pour le bibliothécaire de droit avec la venue de l’intelligence artificielle?Canadian Journal of Information and Library Science41(3): 211–227. https://muse.jhu.edu/pub/50/article/686190/summary
47.
IbrahimNHMakhbulZKM (2025) Analyzing the impact of work events on emotions: Exploring dimensional influences. Semarak Advanced Research in Organizational Behaviour1(1): 10–18.
JustinMAJoyMM (2024) Gamification, intrinsic motivation, and task performance of employees: The moderating role of goal difficulty. Behaviour & Information Technology43(16): 3993–4015.
50.
KaushalVYadavR (2022) The role of chatbots in academic libraries: An experience-based perspective. Journal of the Australian Library and Information Association71(3): 215–232.
51.
KaushikRSinsinwarJ (2024) Significance of soft skills in career development. International Journal of English Literature and Social Sciences9(1): 271–275.
52.
KrejcieRVMorganDW (1970) Determining sample size for research activities. Educational and Psychological Measurement30(3): 607–610.
53.
kumariJKumarJ (2023) Influence of motivation on teachers’ job performance. Humanities and Social Sciences Communications10(1): 58.
54.
LathamGPBrownTC (2006) The effect of learning vs. outcome goals on self-efficacy, satisfaction and performance in an MBA program. Applied Psychology55(4): 606–623.
55.
LawsonBSamsonD (2001) Developing innovation capability in organisations: A dynamic capabilities approach. International Journal of Innovation Management05(03): 377–400.
56.
LinXWangXShaoB, et al. (2024) How chatbots augment human intelligence in customer services: A mixed-methods study. Journal of Management Information Systems41(4): 1016–1041.
57.
LockeEALathamGP (2002) Building a practically useful theory of goal setting and task motivation: A 35-year odyssey. American Psychologist57(9): 705–717.
58.
LockeEALathamGP (2013) New developments in goal setting and task performance. Routledge. 10.4324/9780203082744
LuoXChangYFangZ, et al. (2020) AI Chatbots vs. human agents: Improving job performance with positive and negative sentiments in a field experiment. AMA Summer Academic Conference: Bridging Gaps Marketing in an Age of Disruption: 10–16. https://core.ac.uk/download/pdf/572217779.pdf#page=46
61.
LyriaRK (2015) Effect of talent management on organizational performance in companies listed in Nairobi securities exchange in Kenya (Doctoral dissertation) [Jomo Kenyatta University of Agriculture and Technology]. http://ir.jkuat.ac.ke/handle/123456789/1571?show=full
62.
MelindaWP (2024) Impact of workforce on the innovation capability: Knowledge as mediated. AMMER : Journal of Academic & Multidicipline Research: 30–36. 10.31538/iijse.v7i2.5220.
63.
MumfordJ (2025) Scenario-based assessment tasks to develop empathy: Reflections on teaching soft skills. Scope: Contemporary Research Topics (Learning & Teaching)15: 44–49.
64.
NadeemM (2024) The golden key: Unlocking sustainable artificial intelligence through the power of soft skills!. Journal of Management and Sustainability14(2): 71.
65.
NakagawaYInoueAKawakamiN, et al. (2014) Job demands, job resources, and job performance in Japanese workers: A cross-sectional study. Industrial Health52(6): 471–479.
66.
NgZM (2024) Employee performance and artificial intelligence [Master’s Dissertation, Tunku Abdul Rahman University of Management and Technology]. https://eprints.tarc.edu.my/id/eprint/27537
67.
OlumoyegunPMAlabiJONurudeeenYZ (2024) Contemporary issues on artificial intelligence and performance of employees at selected deposit money banks in Lagos, Nigeria. Journal of Business Management, Innovation and Creativity3(2): 2971–6896.
68.
PanigrahiRRShrivastavaAKQureshiKM, et al. (2023) AI Chatbot adoption in SMEs for sustainable manufacturing supply chain performance: A mediational research in an emerging country. Sustainability15(18): 13743.
PermzadianVShenT (2024) Assessing the predictive validity of expectancy theory for academic performance. BMC Psychology12(1): 37.
71.
PratamaRKusumahSAEndangR, et al. (2024) The achievement of goals related to employee performance in private sector organizations provides significant insights. International Journal of Scientific and Management Research07(10): 90–108.
72.
PrenticeCNguyenM (2020) Engaging and retaining customers with AI and employee service. Journal of Retailing and Consumer Services56: 102186.
73.
RahmanSAhmadSUllahS, et al. (2025) Influence of emotional intelligence on the job performance of librarians: Evidence from public libraries in Khyber Pakhtunkhwa. Journal for Current Sign3(4): 93–113.
74.
RaissouniDHrichNReklaouiK, et al (2025) Advancing towards an educational revolution: Artificial intelligence’s contribution to developing soft skills for future educators. In: KhaldiMKaddouriMErradiM (eds) Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2024). Atlantis Press, 227–240. 10.2991/978-2-38476-408-2_17.
75.
RautedaKR (2025) Quantitative research in education: Philosophy, uses and limitations. Journal of Multidisciplinary Research and Development2(1): 1–11.
76.
RechkemmerAYinM (2020) Motivating novice crowd workers through goal setting: An investigation into the effects on complex crowdsourcing task training. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing8: 122–131.
77.
RichBLLepineJACrawfordER (2010) Job engagement: Antecedents and effects on job performance. Academy of Management Journal53(3): 617–635.
78.
RodriguesRDiasA (2024) Influence of soft skills on career development: Exploring performance appraisal as a mediating mechanism. Problems and Perspectives in Management22(4): 14–24.
79.
RukaniSDRatnasariSD (2024) Mediation of dynamic innovation capability on digital transformation and employee collaborative innovation on employee performance. Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE)7(2). 10.31538/iijse.v7i2.5220.
80.
SaengrithWViriyavejakulCPimdeeP (2022) Problem-based blended training via chatbot to enhance the problem-solving skill in the workplace. Emerging Science Journal6: 1–12.
81.
SakarkarSD (2014) Knowledge management in academic libraries. Library Science-An International Registered and Referred Monthly Journal12(11.
82.
SalaudeenBO (2025) Effect of job knowledge on job performance of library personnel in public universities in oyo state, Nigeria. International Journal of Information Resource Management (IJIRM)2(4). https://www.ijirm.com.ng/article.php?id=536
83.
SallehFDzulkifliZAbdullahWAW, et al. (2011) The effect of motivation on job performance of state government employees in Malaysia. International Journal of Humanities and Social Science1(4). https://www.academia.edu/download/78758429/19.pdf
84.
SaunilaMPekkolaSUkkoJ (2014) The relationship between innovation capability and performance. International Journal of Productivity and Performance Management63(2): 234–249.
85.
SchislyaevaERSaychenkoOA (2022) Labor market soft skills in the context of digitalization of the economy. Social Sciences11(3): 91.
86.
ShahidMSarwarFAslamS, et al. (2025) Team goal clarity and individual adaptive performance of sme employees: A sequential mediated multilevel model. Sage Open15(3). 10.1177/21582440251362645.
87.
SilvaEKLDSantosAADJacinthoEMdSB, et al. (2024) Trends in library services and the competencies of the librarian. The Canadian Journal of Information and Library Science47(2): 3–10.
88.
SusantoS (2023) The effect of knowledge sharing and individual innovation capability on employee performance with work motivation as an intervening variable. Oeconomia Copernicana14(2): 85–104.
89.
SusilanaRSetiawanBHerlina, et al. (2025) Soft skills in jeopardy: The impact of AI on future generations of students. Indonesian Journal of Educational Research and Review8(1): 133–145.
90.
SyukurAAnsarATamsahH, et al. (2024) Understanding the impact of talent management on lecturer performance: The role of soft skill competence and innovation within the framework of goal setting theory. Educational Administration: Theory and Practice30(5): 1292–1312.
91.
TongiaSJainCIqbalSMA, et al. (2024) The relevance of soft skills in career success. Educational Administration Theory and Practices. 10.53555/kuey.v30i1.6642.
92.
UnegbuVEOwolabiROMichaelJP (2025) Influence of professional competence on job performance of medical librarians in health institutions in Southern Nigeria. Samaru Journal of Information Studies25(1): 283–298. https://www.ajol.info/index.php/sjis/article/view/305201
93.
VicenteMAbrantesJLTeixeiraMS (2015) Measuring innovation capability in exporting firms: The INNOVSCALE. International Marketing Review32(1): 29–51.
94.
VisserCTerblancheN (2025) The soft-skills characteristics of Generation Z employees: A scoping review and research agenda. SA Journal of Human Resource Management23. 10.4102/sajhrm.v23i0.2975.
WaliJMuthuvelooRTeohAP, et al. (2023) Disentangling the relationship between employees’ dynamic capabilities, innovative work behavior and job performance in public hospitals. International Journal of Innovation Science15(2): 368–384.
97.
WangJWangYZhuN, et al. (2024) Special education teachers’ emotional intelligence and its relationships with social support, work engagement and job performance: A job demands-resources theory’s perspective. International Journal of Developmental Disabilities70(5): 814–823.
98.
WeiFXuLHuX, et al. (2024) Negative feedback change and employee performance: A goal-setting theory perspective. Asia Pacific Journal of Management41(4): 2155–2178.
99.
WeissHMCropanzanoR (1996) Affective events theory: A theoratical discussion of the structure, causes and consequences of affective experiences at work. In: StawBMCummingsLL (eds) Research in Organizational Behavior: An Annual Series of Analytical Essays and Critical Reviews. Elsevier Science / JAI Press, Vol. 18, 1–74. https://psycnet.apa.org/record/1996-98665-001
100.
XueJJusohNHBMAlanR, et al. (2024) Research on the impact of performance evaluation cycle on the relationship between performance pay intensity and employee exploratory innovation behavior: A conceptual paper. International Journal of Academic Research in Business and Social Sciences14(4). 10.6007/IJARBSS/v14-i4/21195.
101.
ZhengQJinYXuX (2024) Artificial intelligence and job performance of healthcare providers in China. Frontiers in Public Health12. 10.3389/fpubh.2024.1398330.
