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Managing job applications online: integrating website informativeness and compatibility in theory of planned behaviour and technology acceptance model

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Abstract

Governmental jobs in India are the most desirable choice that demand effective and transparent public administration for better government–citizen relationships. This study integrates technology acceptance model and theory of planned behaviour as conceptual framework to explain the adoption of online job application system in Indian e-government context. Website’s ability provides accurate information to facilitate job application online and more specifically the degree of fit applicants perceive between online behaviour and traditional behaviour is notable in influencing acceptance of such systems. Data were collected personally from usable response of 443 respondents in Gujarat, India, using intercept survey. The data were analysed through structural equation modelling. Findings revealed that combined TPB–TAM model with website informativeness and compatibility provided an empirical confirmation in explaining online job application system.

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References

  • Ajzen I (1985) From intentions to actions: a theory of planned behaviour. Springer, Berlin, pp 11–39

    Google Scholar 

  • Ajzen I (1991) The theory of planned behaviour. Organ Behav Hum Decis Process 50:179–211

    Article  Google Scholar 

  • Ajzen I (2002) Perceived behavioural control, self-efficacy, locus of control, and the theory of planned behaviour. J Appl Soc Psychol 32(4):665–683

    Article  Google Scholar 

  • Ajzen I, Fishbein M (1980) Understanding attitudes and predicting social behaviour. Prentice-Hall, Englewood Cliffs

    Google Scholar 

  • Anderson N (2003) Applicant and recruiter reactions to new technology in selection: a critical review and agenda for future research. Int J Select Assess 11(2–3):121–136

    Article  Google Scholar 

  • Armitage CJ, Conner M (2001) Efficacy of the theory of planned behaviour: a meta-analytic review. Br J Soc Psychol 40:471–499

    Article  Google Scholar 

  • Arnold J, Loan-Clarke J, Coombs C, Wilkinson A, Park J, Preston D (2006) How well can the theory of planned behaviour account for occupational intentions? J Vocat Behav 69:374–390

    Article  Google Scholar 

  • Bagozzi R, Yi Y (1988) On the evaluation of structural equation models. J Acad Mark Sci 16:74–94

    Article  Google Scholar 

  • Bagozzi R, Yi Y, Phillips W (1991) Assessing construct validity in organizational research. Adm Sci Q 36:421–458

    Article  Google Scholar 

  • Bandura A (1982) Self-efficacy mechanism in human agency. Am Psychol 37:122–147

    Article  Google Scholar 

  • Banerjee P, Gupta R (2019) Talent attraction through online recruitment websites: application of Web 2.0 Technologies. Austr J Inf Syst. https://doi.org/10.3127/ajis.v23i0.1762

    Article  Google Scholar 

  • Baroudi JJ, Olson MH, Ives B (1986) An empirical study of the impact of user involvement on system usage and information satisfaction. Commun ACM 29(3):232–238

    Article  Google Scholar 

  • Bhattacharya D, Gulla U, Gupta MP (2011) E-service quality model for Indian government portals: Citizens’ perspective. J Enterp Inf Manag 25(3):246–271

    Article  Google Scholar 

  • Bhattacherjee A (2000) Acceptance of e-commerce services: the case of electronic brokerages. IEEE Trans Syst Man Cybern A Syst Hum 30(4):411–420

    Article  Google Scholar 

  • Boomsma A (1987) The robustness of maximum likelihood estimation in structural equation models. In: Cuttance P, Ecob R (eds) Structural modeling by example Place of publication? Cambridge University Press, Cambridge, pp 160–188

    Google Scholar 

  • Bryant S (2000) Top executives shun Internet recruitment. Manag Account Mag Chart Manag Account 78(4):1–4

    Google Scholar 

  • Byrne BM (1998) Structural equation modeling with LISREL, PRELIS, and SIMPLIS. Lawrence Erlbaum, Hillsdale

    Google Scholar 

  • Cappelli P (2001) Making the most of on-line recruiting. Harv Bus Rev 79(3):139

    Google Scholar 

  • Chakraborty G, Lala V, Warren D (2003) What do customers consider important in B2B websites? J Advert Res 43(1):50–61

    Article  Google Scholar 

  • Chapman DS, Uggerslev KL, Carroll SA, Piasentin KA, Jones DA (2005) Applicant attraction to organizations and job choice: A meta-analytic review of the correlates of recruiting outcomes. J Appl Psychol 90:928–944

    Article  Google Scholar 

  • Chau PK, Hu PJ (2002) Examining a model of information technology acceptance by individual professionals. J MIS 18(4):191–229

    Google Scholar 

  • Chen Y-H, Corkindale D (2008) Towards an understanding of the behavioural intention to use online news services: an exploratory study. Internet Res 18(3):286–312

    Article  Google Scholar 

  • Chen M-F, Lu T-Y (2011) Modeling e-coupon proneness as a mediator in the extended TPB model to predict consumers’ usage intentions. Internet Res 21(5):508–526

    Article  Google Scholar 

  • Cheng Y-M (2014) Exploring the intention to use mobile learning: the moderating role of personal innovativeness. J Syst Inf Technol 16(1):40–61

    Article  Google Scholar 

  • Cober RT, Brown DJ, Blumental AJ, Doverspike D, Levy P (2000) The quest for the qualified job surfer: it’s time the public sector catches the wave. Public Pers Manag 29(4):479–496

    Article  Google Scholar 

  • Cober RT, Brown DJ, Levy PE (2004) Form, content, and function: an evaluative methodology for corporate employment websites. Hum Resource Manag 43(2–3):201–218

    Article  Google Scholar 

  • Costantini A, Ceschi A, Sartori R (2019) The theory of planned behaviour as a frame for job crafting: explaining and enhancing proactive adjustment at work. In: Van Zyl LE, Rothmann S (eds) Theoretical approaches to multi-cultural positive psychological interventions. Springer, Cham, pp 161–177

    Chapter  Google Scholar 

  • Davis FD (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q 13(3):319–340

    Article  Google Scholar 

  • Davis FD, Bagozzi RP, Warshaw PR (1989) User acceptance of computer technology: a comparison of two theoretical models. Manage Sci 35(8):982–1003

    Article  Google Scholar 

  • Davis FD, Venkatesh V (1996) A critical assessment of potential measurement biases in the technology acceptance model: three experiments. Int J Hum Comput Stud 45:19–45

    Article  Google Scholar 

  • Davis FD (1986) A technology acceptance model for empirically testing new end-user information systems: Theory and results. (Unpublished doctoral dissertation). MIT Sloan School of Management, Cambridge.

  • Derous E, de Fruyt F (2016) Developments in recruitment and selection research. Int J Select Assess 24(1):1–3

    Article  Google Scholar 

  • Deshpande R, Zaltman G (1982) Factors Affecting the use of market research information: a path analysis. J Mark Res 19:14–31

    Article  Google Scholar 

  • Deshpande R, Zaltman G (1987) A comparison of factors affecting use of marketing information in consumer & industrial firms. J Mark Res 24(February):114–118

    Article  Google Scholar 

  • Faiers A, Neame C, Cook M (2007) The adoption of domestic solar-power systems: Do consumers assess product attributes in a stepwise process? Energy Policy 35(6):3418–3423

    Article  Google Scholar 

  • Fan L, Gu J-C, Suh Y-H, Lee S-C (2012) How to attract Chinese online game users: an empirical study on the determinants affecting intention to use Chinese online games. Asian J Qual 13(1):7–21

    Article  Google Scholar 

  • Fornell C, Larcker D (1981) Evaluating structural equation models with unobservable variances and measurement error. J Mark Res 18:39–50

    Article  Google Scholar 

  • Fusilier M, Durlabhji S (2005) An exploration of student Internet use in India. Campus-Wide Inf Syst 22(4):233–246

    Article  Google Scholar 

  • Gaskin (2017). Confirmatory factor analysis http://statwiki.kolobkreations.com/index.php?title5Confirmatory_Factor_Analysis. Accessed 15 Sept 2019.

  • Gefen D, Karahanna E, Straub DW (2003) Trust and TAM in online shopping: an integrated model. MIS Q 27(1):51–90

    Article  Google Scholar 

  • Gopi M, Ramayah T (2007) Applicability of theory of planned behaviour in predicting intention to trade online: some evidence from a developing country. Int J Emerg Markets 2(4):348–360

    Article  Google Scholar 

  • Government of India (2005) National e-Governance Plan, Department of Information Technology, Ministry of Communications & Information Technology, Government of India

  • Hair JF, Anderson RE, Tatham RL, Black WC (1998) Multivariate data analysis, vol 5. Pearson Education Inc., Boston

    Google Scholar 

  • Ho R (2006) Handbook of univariate and multivariate data analysis and interpretation with SPSS. Taylor & Francis Group, New York

    Book  Google Scholar 

  • Van Hooft EAJ, Born MPh, Taris TW, Van der Flier H (2006) Ethnic and gender differences in applicants’ decision-making processes: An application of the theory of reasoned action. Int J Select Assess 14:156–166

    Article  Google Scholar 

  • Hussein R, Mohamed N, Rahman A, Mahmud A, Mahmud M (2011) E-government application: an integrated model on G2C adoption of online tax. Transform Govern People Process Policy 5(3):225–248

    Google Scholar 

  • Irani Z, Dwivedi YK, Williams MD (2009) Understanding consumer adoption of broadband: an extension of the technology acceptance model. J Oper Res Soc 60(10):1322–1334

    Article  Google Scholar 

  • Jaidi Y, Van Hooft E, Arendas L (2011) Recruiting highly educated graduates: A study on the relationship between recruitment information sources, the theory of planned behaviour and actual job pursuit. Hum Perform 24:135–157

    Article  Google Scholar 

  • Kashi K, Zheng C (2013) Extending technology acceptance model to the e-recruitment context in Iran. Int J Select Assess 21(1):121–129

    Article  Google Scholar 

  • Kelloway EK (1998) Using LISREL for structural equation modeling: A researcher’s guide. SAGE Publications Inc, Thousand Oaks

    Google Scholar 

  • Kline RB (2005) Principles and practice of structural equation modeling, vol 2. Guilford, New York

    Google Scholar 

  • Kulkarni M, Nithyanand S (2013) Social influence and job choice decisions. Employee Relat 35(2):139–156

    Article  Google Scholar 

  • Kurfali M, Arifoglu A, Tokdemir G, Pacin Y (2017) Adoption of e-government services in Turkey. Comput Hum Behav 66:168–178

    Article  Google Scholar 

  • Lau ASM (2002) Strategies to motivate brokers adopting on-line trading in Hong Kong financial market. Rev Pac Basin Financ Mark Policies 5(4):471–489

    Article  Google Scholar 

  • Lee J, Chen C, Song H, Lee C (2014) The role of responsible gambling strategy and gambling passion in the online gamblers’ decision-making process: Revising the theory of planned behaviour. J Gambl Stud 30(2):403–422

    Article  Google Scholar 

  • Lee Y-C, Hsieh Y-F, Guo Y-B (2013) Construct DTPB model by using DEMATEL: A study of a university library website. Program Electr Lib Inf Syst 47(2):155–169

    Google Scholar 

  • Lee J (2003) Factors affecting intention to use online financial services. (Order No. 3159914, The Ohio State University). ProQuest Dissertations and Theses: 201.

  • Lievens F, Harris M (2003) Research on internet recruiting and testing: current status and future directions, vol 18. Wiley, Chichester

    Google Scholar 

  • Lin H-F (2010) Applicability of the extended theory of planned behaviour in predicting job seeker intentions to use job-search websites. Int J Select Assess 18:64–74

    Article  Google Scholar 

  • Llorens JJ (2009) E-Recruiting. Paper presented at the Annual Meeting of the American Political Science Association, September 3–6, 2009, Toronto

  • Luo X (2002) Trust production and privacy concerns on the Internet: a framework based on relationship marketing and social exchange theory. Ind Mark Manage 31(2):111–118

    Article  Google Scholar 

  • Maree M, Kmail AB, Belkhatir M (2018) Analysis and shortcomings of e-recruitment systems: towards a semantics-based approach addressing knowledge incompleteness and limited domain coverage. J Inf Sci 45:713

    Article  Google Scholar 

  • McGorr S (2000) Measurement in a cross-cultural environment: survey translation issues. Qual Market Res 3:74–81

    Article  Google Scholar 

  • Montoya-Weiss M, Voss GB, Grewal D (2003) Determinants of online channel use and overall satisfaction with a relational, multichannel service provider. J Acad Mark Sci 31(4):448–458

    Article  Google Scholar 

  • Mostafa MM (2010) A structural equation modeling analysis of the animosity model of foreign product purchase in Egypt. Glob Bus Rev 11(3):347–363

    Article  Google Scholar 

  • Nunnally JC (1978) Assessment of reliability. In: Nunnally JC (ed) Psychometric theory. McGraw-Hill International, New York, pp 193–197

    Google Scholar 

  • Panneervel P (2005) E-governance: a Change management tool. Rawat Publications, Jaipur

    Google Scholar 

  • Pavlou PA (2003) Consumer acceptance of electronic commerce: integrating trust and risk with the technology acceptance model. Int J Electr Commerce 7(3):101–134

    Article  Google Scholar 

  • Pavlou PA, Fygenson M (2006) Understanding and prediction electronic commerce adoption: an extension of the theory of planned behaviour. MIS Q 30(1):115–143

    Article  Google Scholar 

  • Pavlou PA, Liang H, Xue Y (2007) Understanding an(d?) mitigating uncertainty in online exchange relationships: a principal agent perspective. MIS Q 31(1):105–135

    Article  Google Scholar 

  • Pdsakoff PM, MacKenzie SB, Lee J-Y, Podsakoff NP (2003) Common method biases in behavioural research: a critical review of the literature and recommended remedies. J Appl Psychol 88:879–903

    Article  Google Scholar 

  • Pfieffelmann B, Wagner SH, Libkuman T (2010) Recruiting on corporate websites: perceptions of fit and attraction. Int J Select Assess 18:40–47

    Article  Google Scholar 

  • Rana NP, Dwivedi YK, Williams MD (2013) A meta-analysis of existing research on citizen adoption of e-government. Inf Syst Front 17(3):547–563

    Article  Google Scholar 

  • Richard M-O (2005) Modeling the impact of Internet atmospherics on surfer behaviour. J Bus Res 12:1632–1642

    Article  Google Scholar 

  • Richard M-O, Chebat J-C (2016) Modeling online consumer behaviour: preeminence of emotions and moderating influences of need for cognition and optimal stimulation level. J Bus Res 69:541–553

    Article  Google Scholar 

  • Rogers EM (1962) Diffusion of innovations. The Free Press, New York

  • Rogers EM (1995) Diffusion of innovations. The Free Press, New York

  • Roy M-C, Chartier A, Crete J, Poulin D (2015) Factors influencing e-government use in non-urban areas. Electr Commerce Res 15:349–363

    Article  Google Scholar 

  • Rynes SL (1991) Recruitment, job choice, and post-hire consequences. In: Dunnette MD (ed) Handbook of industrial and organizational psychology, vol 2. Consulting Psychologists Press, Palo Alto, pp 399–444

    Google Scholar 

  • Ryu MH, Kim S, Lee E (2009) Understanding the factors affecting online elderly user’s participation in video UCC services. Comput Hum Behav 25:619–632

    Article  Google Scholar 

  • Schmit MJ, Ryan AM (1997) Applicant withdrawal: the role of test-taking attitudes and racial differences. Pers Psychol 50:855–876

    Article  Google Scholar 

  • Schreurs B, Derous EV, Hooft E, Proost K, Witte K (2009) Predicting applicants’ job pursuit behaviour from their selection expectation: the mediating role of the theory of planned behaviour. J Organ Behav 30:761–783

    Article  Google Scholar 

  • Selden S, Orenstein J (2011) Government e-recruiting web sites: the influence of e-recruitment content and usability on recruiting and hiring outcomes in US state governments. Int Jo Select Assess 19(1):31–40

    Article  Google Scholar 

  • Shrout PE, Bolger N (2002) Mediation in experimental and nonexperimental studies: new procedures and recommendations. Psychol Methods 7:422–445

    Article  Google Scholar 

  • Shukla A, Sharma N, Swami S (2010) Website characteristics, user characteristics and purchase intention: mediating role of website satisfaction. Int J Internet Market Advert 6(2):142–167

    Google Scholar 

  • Singh G, Pathak RD, Naz R, Belwal R (2010) E-governance for improved public sector service delivery in India, Ethiopia and Fiji. Int J Public Sector Manag 23(3):254–275

    Article  Google Scholar 

  • So JCF, Bolloju N (2005) Explaining the intentions to share and reuse knowledge in the context of IT service operations. J Knowl Manag 9(6):30–41

    Article  Google Scholar 

  • Spence M (1974) Market signaling: informational transfer in hiring and related screening processes. Harvard University Press, Cambridge

    Google Scholar 

  • Sylva H, Mol T (2009) E-recruitment: a study into applicant perceptions of an online application system. Int J Select Assess 17(3):311–323

    Article  Google Scholar 

  • Taylor S, Todd P (1995) Understanding information technology usage: a test of competing models. Inf Syst Res 6(2):144–176

    Article  Google Scholar 

  • Thielsch MT, Träumer L, Pytlik L (2012) E-recruiting and fairness: the applicant’s point of view. Inf Technol Manage 13(2):59–67

    Article  Google Scholar 

  • Tong DYK (2009) A study of e-recruitment technology adoption in Malaysia. Ind Manag Data Syst 109(2):281–300

    Article  Google Scholar 

  • Tung FC, Chang S-C (2008) Nursing students’ behavioural intention to use online courses: a questionnaire survey. Int J Nurs Stud 45(9):1299–1309

    Article  Google Scholar 

  • Venkatesh V, Bala H (2008) Technology acceptance model 3 and a research agenda on interventions. Decis Sci 39:273–315

    Article  Google Scholar 

  • Venkatesh V, Morris MG, Ackerman PL (2000) A longitudinal field investigation of gender differences in individual technology adoption decision-making processes. Organ Behav Hum Decis Processes 83(1):33–60

    Article  Google Scholar 

  • Venkatesh V, Morris MG, Davis GB, Davis FD (2003) User acceptance of information technology: toward a unified view. MIS Q. 27(3):425–478

    Article  Google Scholar 

  • Wu J-H, Wang S-C (2005) What drives mobile commerce? An empirical evaluation of the revised technology acceptance model. Inf Manag 42(5):719–729

    Article  Google Scholar 

  • Wu J-H, Wang S-C, Lin L-M (2007) Mobile computing acceptance factors in the healthcare industry: a structural equation model. Int J Med Inf 76(1):66–77

    Article  Google Scholar 

  • Xue L, Yen CC, Chang L, Chan HC, Tai BC, Tan SB, Duh HBL, Choolani M (2012) An exploratory study of ageing women’s perception on access to health informatics via a mobile phone-based intervention. Int J Med Inf 81(9):637–648

    Article  Google Scholar 

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Acknowledgements

We acknowledge that this study is supported from research funds of Indian Institute of Management, Ahmedabad, Gujarat, India.

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  1. Ganpat University, V. M. Patel Institute of Management, Ganpat Vidyanagar, Mehsana, Gujarat, 384012, India

    Abhishek Parikh & Jayesh D. Patel

  2. Indian Institute of Management Ahmedabad, Ahmedabad, Gujarat, India

    Anand Kumar Jaiswal

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  1. Abhishek Parikh
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Appendix

Appendix

See Tables 8 and 9.

Table 8 Study’s constructs
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Table 9 Correlation among constructs
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Parikh, A., Patel, J.D. & Jaiswal, A.K. Managing job applications online: integrating website informativeness and compatibility in theory of planned behaviour and technology acceptance model. Decision 48, 97–113 (2021). https://doi.org/10.1007/s40622-020-00266-2

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