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Developing a Model and Questionnaire for Predicting Intention to Use Job Boards: A Jobseeker-Oriented Research on the E-Recruitment Adoption in Iran


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Figure 1

The research conceptual framework model(Source: Authors’ own elaboration; as stated in the figure)
The research conceptual framework model(Source: Authors’ own elaboration; as stated in the figure)

Figure 2

The research model (and path analysis results) (Source: Authors’ own work)
The research model (and path analysis results) (Source: Authors’ own work)

Figure 3

The results of significance and standard estimation coefficients for the hypothetical relationships between latent factors (Source: Authors’ own study)
The results of significance and standard estimation coefficients for the hypothetical relationships between latent factors (Source: Authors’ own study)

Selected research observable variables (Source: As stated in reference column)

Variable The operational definition Reference model/theory
Job board esthetics Pleasant mental experience of the website without the logical interventions (Moshagen and Thielsch, 2010) Signaling theory (Spence, 1903); TAM (Davis, Bagozzi and Warshaw, 1989; Cober, et al., 2004); VisAWI model (Moshagen and Thielsch, 2010)
Job board content The concern that the content provided is accurate, diverse, and up-to-date (Loiacono, Watson and Goodhue, 2002) Signaling theory (Spence, 1903; Allen, Mahto and Otondo, 2007)
Jobseeker self-efficacy A person's belief in their ability to organize and perform a series of actions on the Internet to perform a particular task (Eastin and LaRose, 2000) A model of the antecedents of perceived ease of use (Venkatesh and Davis, 1996)
Attitude toward job board's functionality Jobseekers’ perceptions of how the job board's web functionalities and technical features can assist them in purchasing or accessing the product or services they want Authors’ own elaboration
Perceived usefulness Jobseekers’ belief in the ability to obtain job information, improve job effectiveness, and increase the chances of finding a suitable job on the job board (Brahmana and Brahmana, 2013) TAM (Davis, Bagozzi and Warshaw, 1989)
Perceived ease of use User perception of the amount of effort (time and resources) required to use the job board (Fabriana, 2015) TAM (Davis, Bagozzi and Warshaw, 1989)
Reputation The perceptual representation of a company's past and possible future actions describes the attractiveness of the company to all its key customers (Fombrun, 1996, p.165) TPB (Ajzen, 1988, 1991); brand equity theory (Keller, 1993); the reputation quotient SM (Fombrun, Gardberg and Sever, 2000; Cober, et al., 2004)
Attitude toward job board Respondent's overall assessments regarding the use of the job board (Lin, 2010) TAM (Davis, Bagozzi and Warshaw, 1989); TPB (Ajzen, 1988, 1991)
Intention to use job board Assessing jobseekers’ possibility of using job board (including job search, website membership, and resume posting) in the present and future (Lin, 2010) TAM (Davis, Bagozzi and Warshaw, 1989); TPB (Ajzen, 1988, 1991)

Factors, variance percentage, and eigenvalues (before rotation) (Source: Authors’ own research)

Factors Eigenvalues Variance percentage Cumulative variance percentage
1 8.23 33.10 33.10
2 3.20 9.71 42.81
3 2.93 6.32 49.13
4 2.92 5.30 54.43
5 2.80 5.12 59.56

Variables influencing intention to use e-recruitment and job boards in previous research (Source: As stated in the author column)

Author(s) Variables
Kaur and Kaur (2022) Word-of-Mouth (e-WOM), PU, POU, attitude
Nadlifatin, et al. (2022) PU, POU, job pursuit attitude, subjective norm, perceived behavioral control
Schaarschmidt, Walsh and Ivens (2021) Discrepant information, persuasion knowledge activation, company response, trustworthiness
Meah and Sarwar (2021) Data quality, reliability, recognition, networking spectrum, result demonstrability, simplicity of navigation
Chen, Warden and Liou (2021) Esthetic forms, recruitment information, interactive functions, information fitness interface attributes
Khalid, et al. (2021) Technology, attitude toward use, POU, PU
Nguyen (2021) Computer self-efficacy, perceived privacy risk, POU, PU
Irawan, Adiputra and Arshanty (2021) Perceived enjoyment, POU, PU, perceived trust, attitude toward use
Rahman and Patra (2020) Usability, user experience, performance expectancy, subjective norms, trustworthiness
Candra, et al. (2020) POU, critical mass, capability, perceived playfulness, PU, trustworthiness
Grimaldo and Uy (2020) PU, POU, attitude
Woon and Singh (2019) PU, perceived information content quality, perceived search engine optimization
Selvanathan, et al. (2019) POU, PU, perceived credibility
Banerjee and Gupta (2019) Perceived quality, perceived credibility, organizational attractiveness, age, gender, work experience, preview mode, employee testimonial, source of advertisement
Priyadarshini, Sreejesh and Jha (2019) Information characteristics (relevancy, accuracy, timeliness), organizational attractiveness, attitude toward website
Carmack and Heiss (2018) Effectiveness, past behavior, perceived behavioral control, actual behavioral control, attitudes, subjective norms
Laumer, et al. (2018) Performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, habit, trust, age, gender, experience, context (jobseeker)
Poudel (2018) Performance expectancy, effort expectancy, subjective norms, objective norms, facilitating conditions
Chang and Kim (2018) Accuracy, security, self-efficacy, individual innovation, user satisfaction, POU, PU
Siew, et al. (2018) Perceived compatibility, PU, POU, attitude toward use
Zhang, et al. (2018) Outcome expectation, PU, Internet self-efficacy, POU
Arsanti and Yuliasari (2018) Innovativeness, PU, POU, attitude
Mahmood and Ling (2017) PU, POU, trust
Huang and Chuang (2016) Task characteristics, technology characteristics, task–technology fit, performance expectancy, efforts expectancy, social influence, facilitating conditions, hedonic motivation, habit
Alsultanny and Alotaibi (2015) POU, PU, perceived enjoyment, attitude toward use
Febriana (2015) POU, PU, attitude toward use
Liyanage and Galhena (2014) PU, POU
Kashi and Zheng (2013) Impressions of website, impressions of hiring organization, PU, POU
Gregory, Meade and Thompson (2013) Website design (website usability, website esthetics), website content (job information, organizational information), P–E fit (P–J fit, P–O fit), attitudes toward organization, attitudes toward website
RoyChowdhury and Srimannarayana (2013) Perceived efficiency, user-friendliness, information provision, fairness perception, Internet selection image
Brahmana and Brahmana (2013) Perceived stress, POU, PU, perceived enjoyment
De Goede, Klehe and van Vianen (2011) P–I fit, P–O fit, assessment of website design, OI similarity
Lin (2010) PU, POU, attitude, peer influence, external influence, subjective norm, self-efficacy, perceived behavioral control
Williamson, et al. (2010) Website vividness, amount of company and job attribute information on website, firm employer reputation
Kroustalis (2009) P–O fit/P–J fit, website content (job information-organization information), website design (website usability-website esthetics), attitudes toward website, attitudes toward organization
Sylva and Mol (2009) Individual attributes (age, gender, minority status, prior experience, Internet familiarity, applicant source, country), efficiency, Internet selection image, user-friendliness, process fairness, information provision, overall process satisfaction
Goldberg and Allen (2008) Parasocial interaction, ease of use, usefulness, diversity statements, engagement, attitude toward the organization
Allen, Mahto and Otondo (2007) Organization familiarity, organization image, job information, organization information, attitude toward organization, attitude toward website
Cober, et al. (2004) Website façade, jobseeker's prior attitude toward the organization, initial affective reactions, website system features, perception of website usability, search behavior, familiarity, organizational image, website attitude, jobseeker individual differences

j.fman-2022-0005.apptab.001

Variables Questions
Job board esthetics 1. All pages of this job board possess a kind of unique beauty.2. I like the composition of multimedia and texts on this job board.3. The organization of pages in this job board is clear.4. The graphic aspect of this job board did not interrupt my focus and made it easier to use.
Job board content 5. This job board publishes diverse job opportunities.6. The information provided by this job board can easily be understood.7. This job board's vocabulary and writing style are consistent and clear.8. The job description in this job board is accurate and comprehensive.
Jobseekers’ self-efficacy in job board 9. The homepage of this job board immediately guides me to my desired destination.10. I can easily find my desired information on this job board through trial and error.11. When using this job board, the error messages clearly show how to fix errors.12. In my opinion, most people quickly learn how to use this job board.
Attitude toward job board functionalities 13. This job board can be adapted to all browsers and devices.14. Various functions provided by this job board – such as sign up, job search, and job application – are well integrated.15. I like integrating different functions with social media in this job board.16. The search engine on this job board extracts accurate information quickly.
Perceived usefulness of job board 17. This job board provides me with updated job opportunities.18. Overall, this job board offers valuable services and information.19. The additional facilities provided by this job board had many useful applications for me.20. I do not have to look for other job search resources using this board.
Perceived ease of use of job board 21. Creating a user account on this job board is simple.22. The variety of search options on this job board makes finding my desired job opportunities easier.23. This job board's navigation tools and tags direct me quickly to my desired destination.24. The comprehensibility of this job board content makes its use more accessible to me.
Job board reputation 25. In my opinion, this job board is a reliable recruitment portal both for jobseekers and employers.26. Famous employers publish their job opportunities using this job board.27. In my opinion, this job board tends to be an innovator rather than an imitator.28. Licenses, awards, and testimonials of jobseekers and employers reassure me to use this job board.
Attitude toward job board 29. I consider this job board user-friendly.30. This job board offers innovative services.31. The overall organization of this job board is clear and understandable for all.32. This job board has all functions and capabilities I expect to have.
Intention to use job board 33. I intend to register on this job board to get informed about the most current job opportunities in my field of expertise.34. I intend to apply for job opportunities published on this job board.35. I intend to continue using this job board till I find my ideal job.36. I intend to recommend using this job board to friends and acquaintances.

Cronbach's α for latent factors (Source: Authors’ work)

Factor Cronbach's α coefficient
Reputation-seeking intention to use 0.82
Practical utility 0.79
Technological innovation 0.78
Functional adequacy 0.79
Content accessibility 0.77

Durbin–Watson (DW) test results (Source: Authors’ own study)

DW statistic value
Practical utility on reputation-seeking intention to use 2.17
Technological innovation on reputation-seeking intention to use 2.02
Functional adequacy on reputation-seeking intention to use 2.02
Content accessibility on reputation-seeking intention to use 2.02

Fit indices of the measurement model (Source: Authors’ study)

Model-fit index NNFI NFI CFI RMR GFI RMSEA χ2/df
Measurement model 0.92 0.92 0.93 0.14 0.91 2.13 0.03
Recommended value > 0.90 > 0.90 > 0.90 < 0.5 > 0.90 > 0.1 < 5
Result Acceptable Acceptable Acceptable Acceptable Acceptable Acceptable Acceptable

Correlation matrix of latent variables (Source: Authors’ own work)

Latent variables 1 2 3 4 5
1. Reputation-seeking intention to use 1
2. Practical utility **0.72 1
3. Technological innovation **0.69 **0.57 1
4. Functional adequacy **0.65 **0.54 **0.46 1
5. Content accessibility **0.64 **0.58 **0.39 **0.39 1

The results of path analysis for the hypothesized paths (Source: Authors’ own research)

Hypothesis Hypothesized paths Standardized estimate coefficient Significance level t-value Result
H’1 Technology innovation to reputation-seeking intention to use 0.40 P < 0.01 11.57 Accepted
H’2 Content accessibility to reputation-seeking intention to use 0.01 P < 0.05 0.30 Rejected
H’3 Practical utility to reputation-seeking intention to use 0.52 P < 0.01 8.40 Accepted
H’4 Functional adequacy to reputation-seeking intention to use 0.04 P < 0.05 0.84 Rejected
H’5 Technology innovation to practical utility 0.12 P < 0.01 4.41 Accepted
H’6 Content accessibility to practical utility 0.50 P < 0.01 18.84 Accepted
H’7 Functional adequacy to practical utility 0.39 P < 0.01 13.93 Accepted

Goodness-of-fit statistics of the research model (Source: Authors’ study)

Index Value Recommended value Result
χ2 1.76 ≤ 2 Fitness of model
P-value 0.19 ≥ 0.05 Fitness of model
RMSEA 0.0001 ≤ 0.05 Fitness of model
NFI 0.96 ≥ 0.95 Fitness of model
CFI 0.96 ≥ 0.9 Fitness of model
GFI 0.97 ≥ 0.9 Fitness of model

Kolmogorov–Smirnov (K–S) test results (Source: Authors’ study)

Reputation-seeking intention to use Technological innovation Functional adequacy Practical utility Content accessibility
K–S Z value 1.60 1.24 1.68 2.28 1.77
Significance level 0.01 0.02 0.007 0.0001 0.004