Skip to main content Accessibility help
×
Hostname: page-component-77c89778f8-5wvtr Total loading time: 0 Render date: 2024-07-21T12:17:09.892Z Has data issue: false hasContentIssue false

32 - Advantages and Unintended Consequences of Using Electronic Human Resource Management (eHRM) Processes

from Part VII - Interdisciplinary Perspectives on Employees and Technology

Published online by Cambridge University Press:  18 February 2019

Richard N. Landers
Affiliation:
University of Minnesota
Get access

Summary

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2019

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Adams, T. (2008). Kia receives 43,000 applications for West Point auto plant. Columbus Ledger-Enquirer. Retrieved from www.ledger-enquirer.com/news/local/article28988608.html.Google Scholar
Aguinas, H., Henle, C. A., & Jr. Beaty, J. C. (2001). Virtual reality technology: A new tool for personnel selection. International Journal of Selection and Assessment, 9(1–2), 7083.CrossRefGoogle Scholar
Alavi, M., Marakas, G. M., & Yoo, Y. (2002). A comparative study of distributed learning environments on learning outcomes. Information Systems Research, 13(4), 404415.CrossRefGoogle Scholar
Alkhadher, O., Anderson, N., & Clarke, D. (1994). Computer-based testing: A review of recent developments in research and practice. European Work and Organizational Psychologist, 4(2), 169189.CrossRefGoogle Scholar
Allen, D. G., Biggane, J. E., Pitts, M., Otondo, R., & Van Scotter, J. (2013). Reactions to recruitment web sites: Visual and verbal attention, attraction, and intentions to pursue employment. Journal of Business and Psychology, 28(3), 263285.CrossRefGoogle Scholar
Allen, D. G., Mahto, R. V., & Otondo, R. F. (2007). Web-based recruitment: Effects of information, organizational brand, and attitudes towards website on applicant attraction. Journal of Applied Psychology, 92(6), 16961708.CrossRefGoogle Scholar
Alliger, G. M., Tannenbaum, S. I., Bennett Jr., W., Traver, H., & Shotland, A. (1997). A meta analysis of the relations among training criteria. Personnel Psychology, 50, 341358.CrossRefGoogle Scholar
Anderson, N. (2003). Applicant and recruiter reactions to new technology in selection: A critical review and agenda for future research. International Journal of Selection and Assessment, 11(2–3), 121136.CrossRefGoogle Scholar
Arbaugh, J. B. (2001). How instructor immediacy behaviors affect student satisfaction and learning in web-based courses. Business Communication Quarterly, 64(4), 4254.CrossRefGoogle Scholar
Arbaugh, J. B. (2005). Is there optimal design for on-line MBA courses? Academy of Management Learning & Education, 4(2), 135149.CrossRefGoogle Scholar
Arbaugh, J. B. (2014). System, scholar or students? Which most influences online MBA course effectiveness? Journal of Computer Assisted Learning, 30(4), 351362.CrossRefGoogle Scholar
Arbaugh, J. B. & Benbunan-Fich, R. (2007). The importance of participant interaction in online environments. Decision Support Systems, 43(3), 853865.CrossRefGoogle Scholar
Arbaugh, J. B. & Hornik, S. (2006). Do Chickering and Gamson’s seven principles also apply to online MBAs. The Journal of Educators Online, 3(2), 118.CrossRefGoogle Scholar
Arbaugh, J. B. & Rau, B. L. (2007). A study of disciplinary, structural, and behavioral effects on course outcomes in online MBA courses. Decision Sciences Journal of Innovative Education, 5(1), 6595.CrossRefGoogle Scholar
Astor, M. (2017). Microchip implants for employees? One company says yes. New York Times. Retrieved from www.nytimes.com/2017/07/25/technology/microchips-wisconsin-company-employees.html.Google Scholar
Baker, W. H., DeTienne, K., & Smart, K. L. (1998). How Fortune 500 companies are using electronic resume management systems. Business Communication Quarterly, 61(3), 819.CrossRefGoogle Scholar
Barber, A. E., Dunham, R. B., & Formisano, R. A. (1992). The impact of flexible benefits on employee satisfaction: A field study. Personnel Psychology, 45(1), 5574.CrossRefGoogle Scholar
Baturay, M. H. (2011). Relationships among sense of classroom community, perceived cognitive learning and satisfaction of students at an e-learning course. Interactive Learning Environments, 19(5), 563575.CrossRefGoogle Scholar
Bauer, T. N., Truxillo, D. M., Paronto, M. E., Weekley, J. A., & Campion, M. A. (2004). Applicant reactions to different selection technology: Face-to-face, interactive voice response, and computer-assisted telephone screening interviews. International Journal of Selection and Assessment, 12, 135148.CrossRefGoogle Scholar
Bell, B. S. & Kozlowski, S. W. J. (2008). Active learning: Effects of core training design elements on self-regulatory processes, learning, and adaptability. Journal of Applied Psychology, 93, 296316.CrossRefGoogle ScholarPubMed
Boese, S. (May 6, 2015). The engagement solution. Human Resource Executive.Google Scholar
Brasil, I. S., Neto, F. M. M., Chagas, J. F. S., de Lima, R. M., Souza, D. F. L., Bonates, M. F., & Dantas, A. (2011). An intelligent agent-based virtual game for oil drilling operators training. Paper presented at the Virtual Reality (SVR), 2011 XIII Symposium on, Uberlandia.CrossRefGoogle Scholar
Breaugh, J. A. & Starke, M. (2000). Research on employee recruitment: So many studies, so many remaining questions. Journal of Management, 26(3), 405434.CrossRefGoogle Scholar
Brink, S. & McDonnell, S. (2003). IHRIM Go-To-Guides: e-compensation. The e-merging technology series. Burlington, MA: IHRIM.Google Scholar
Brown, K. G., Howardson, G., & Fisher, S. L. (2016). Learner control and e-learning: Taking stock and moving forward. Annual Review of Organizational Psychology and Organizational Behavior, 3, 267291.CrossRefGoogle Scholar
Brynjolfsson, E. & Hitt, L. M. (1998). Beyond the productivity paradox. Communications of the ACM, 41(8), 4955.CrossRefGoogle Scholar
Buchanan, T. & Smith, J. L. (1999). Research on the internet: Validation of a World-Wide Web mediated personality scale. Behavior Research Methods, Instruments. & Computers, 31(4), 565571.CrossRefGoogle ScholarPubMed
Cappelli, P. (July/August 2015). Can Machines Ponder HR? Human Resource Executive, p. 5.Google Scholar
Carolan, T. F., Hutchins, S. D., Wickens, C. D., & Cumming, J. M. (2014). Costs and benefits of more learner freedom: Meta-analyses of exploratory and learner control training methods. Human Factors, 56, 9991014.CrossRefGoogle ScholarPubMed
Carswell, A. D. & Venkatesh, V. (2002). Learner outcomes in an asynchronous distance education environment. International Journal of Human-Computer Studies, 56, 475494.CrossRefGoogle Scholar
Cascio, W. F. (2016). Managing human resources: Productivity, quality of work life, profits (10th edn.). New York, NY: McGraw Hill.Google Scholar
CBS News. (2017). The Data Brokers: Selling Your Personal Information. Retrieved from www.cbsnews.com/news/the-data-brokers-selling-your-personal-information/.Google Scholar
Cedar. (1999). 1999 Human Resources Self-Service Survey. Baltimore, MD: Cedar.Google Scholar
CedarCrestone. (2010). CedarCrestone 2009–2010 HR Systems Survey. Retrieved from www.cedarcrestone.com/research.php.Google Scholar
Cennamo, L. & Gardner, D. (2008). Generational differences in work values, outcomes and person-organisation values fit. Journal of Managerial Psychology, 23(8), 891906.CrossRefGoogle Scholar
Chapman, D. S. & Godollei, A. (2017). E-Recruiting: Using technology to attract job applicants. In Hertel, G., Stone, D. L., Johnson, R. D., & Passmore, J. (Eds.), The Wiley-Blackwell handbook of the psychology of the internet at work (pp. 213230). Chichester, UK: Wiley Blackwell.Google Scholar
Chapman, D. S., Uggerslev, K. L., Carroll, S. A., Piasentin, K. A., & Jones, D. A. (2005). Applicant attraction to organizations and job choice: A meta-analytic review of the correlates of recruiting outcomes. Journal of Applied Psychology, 90, 928944.CrossRefGoogle Scholar
Chapman, D. S., Uggerslev, K. L., & Webster, J. (2003). Applicant reactions to face-to-face and technology-mediated interviews: A field of investigation. Journal of Applied Psychology, 88, 944953.CrossRefGoogle Scholar
Chapman, D. S. & Webster, J. (2003). The use of technologies in the recruiting, screening, and selection processes for job candidates. International Journal of Selection and Assessment, 11, 113120.CrossRefGoogle Scholar
Chuah, S. C., Drasgow, F., & Roberts, B. W. (2006). Personality assessment: Does the medium matter?. Journal of Research in Personality, 40, 359376.CrossRefGoogle Scholar
Cober, R. T., Brown, D. J., Blumental, A. J., Doverspike, D., & Levy, P. (2000). The quest for the qualified job surfer: It’s time the public sector catches the wave. Public Personnel Management, 29(4), 479494.CrossRefGoogle Scholar
Cober, R. T., Brown, D. J., Levy, P. E., Keeping, L. M., & Cober, A. L. (2003). Organizational web sites: Web site content and style as determinants of organizational attraction. International Journal of Selection and Assessment, 11, 158168.CrossRefGoogle Scholar
Cooper, J. (2006). The digital divide: The special case of gender. Journal of Computer Assisted Learning, 22, 320334.CrossRefGoogle Scholar
Coyne, I., Warszta, T., Beadle, S., & Sheehan, N. (2005). The impact of mode of administration on the equivalence of a test battery: A quasi-experimental design. International Journal of Selection and Assessment, 13, 220223.CrossRefGoogle Scholar
Cronk, B. C. & West, J. L. (2002). Personality research on the internet: A comparison of web-based and traditional instruments in take-home and in-class settings. Behavior Research Methods, Instruments, & Computers, 34, 177180.CrossRefGoogle ScholarPubMed
Daft, R. L. & Lengel, R. H. (1986). Organizational information requirements, media richness and structural design. Management Science, 32, 554571.CrossRefGoogle Scholar
Davenport, T. & Ronanki, R. (2018). Artificial intelligence for the real world: Don’t start with moon shots. Harvard Business Review (January-February), 108116.Google Scholar
deNoyelles, A., Hornik, S. R., & Johnson, R. D. (2014). Exploring the Dimensions of Self-Efficacy in Virtual World Learning: Environment, Task, and Content. Journal of Online Learning and Teaching, 10, 255271.Google Scholar
DeRouin, R. E., Fritzsche, B. A., & Salas, E. (2004). Optimizing e‐learning: Research‐based guidelines for learner‐controlled training. Human Resource Management, 43(2–3), 147162.CrossRefGoogle Scholar
DeSanctis, G. & Poole, M. S. (1994). Capturing the complexity in advanced technology use: Adaptive structuration theory. Organization Science, 5(2), 121147.CrossRefGoogle Scholar
Dineen, B. R., Ash, S. R., & Noe, R. A. (2002). A web of applicant attraction: Person-organization fit in the context of web-based recruitment. Journal of Applied Psychology, 87(4), 723734.CrossRefGoogle ScholarPubMed
Dineen, B. R. & Noe, R. A. (2009). Effects of customization on application decisions and applicant pool characteristics in a web-based recruitment context. Journal of Applied Psychology, 94, 224234.CrossRefGoogle Scholar
Dixon, L. (2017). This Firm Uses Virtual Reality to Recruit. Should Others Follow? Retrieved from www.talenteconomy.io/2017/03/13/firm-uses-virtual-reality-recruit-others-follow/.Google Scholar
Dominguez, A., Saenz-de-Navarrete, J., De-Marcos, L., Fernandez-Sanz, L., Pages, C., & Martinez-Herraiz, J. J. (2013). Gamifying learning experiences: Practical implications and outcomes. Computers & Education, 63, 380392.CrossRefGoogle Scholar
Drasgow, F. (1984). Scrutinizing psychological tests: Measurement equivalence and equivalent relations with external variables are the central issues. Psychological Bulletin, 95, 134135.CrossRefGoogle Scholar
Dulebohn, J. H. (2003). Information technology implementation: The need for compensation system congruency. In Stone, D. L. (Eds.), Advances in human performance and cognitive engineering research (vol. 3, pp. 153186). Greenwich, CT: JAI Press.CrossRefGoogle Scholar
Dulebohn, J. H. & Johnson, R. D. (2013). Human resource metrics and decision support: A classification framework. Human Resource Management Review, 23, 7183.CrossRefGoogle Scholar
Eaton, C., Deutsch, T., Deroos, D., Lapis, G., & Zikopoulos, P. (2012). Understanding big data: Analytics for enterprise class hadoop and streaming data. San Francisco, CA: McGraw Hill.Google Scholar
Eddy, E. R., Stone, D. L., & Stone-Romero, E. F. (1999). The effects of information management policies on reactions to human resource information systems: An integration of privacy and procedural justice perspectives. Personnel Psychology, 52(2), 335358.CrossRefGoogle Scholar
Efron, L. (2016). How gaming is helping organizations accelerate recruitment. Forbes. Retrieved from www.forbes.com/sites/louisefron/2016/06/12/how-gaming-is-helping-organizations-accelerate-recruitment/.Google Scholar
Fallaw, S. S., Solomonson, A. L., & McClelland, L. (2009). Current trends in assessment use: A multi-organizational survey. Paper presented at the 24th Annual Meeting of the Society for Industriall and Organizational Psychology, New Orleans, LA.Google Scholar
Fetzer, M. (2015). Serious games for talent selection and development. TIP: The Industrial-Organizational Psychologist, 52(3), 117125.Google Scholar
Fisher, S. L., Howardson, G., Wasserman, M., & Orvis, K. (forthcoming). How do learners interact with elearning? Examining patterns of learner control behaviors. AIS Transactions on Human Computer Interaction, 9(2), 7598.CrossRefGoogle Scholar
Fisher, S. L., Wasserman, M., & Orvis, K. (2010). Trainee reactions to learner control: An important link in the e-learning equation. International Journal of Training and Development, 14(3), 198210.CrossRefGoogle Scholar
Fleck, C. (2016). An algorithm for success. HR Magazine (June), 130135.Google Scholar
Flood, J. (2002). Read all about it: On-line learning facing 80 percent attrition rates. Turkish Journal Online of Distance Education, 3(2).Google Scholar
Foster, J. A., Sheridan, P. K., Irish, R., & Frost, G. S. (2012). Gamification as a strategy for promoting deeper investigation in a reverse engineering activity. Paper presented at the 2012 American Society for Engineering Education Conference.CrossRefGoogle Scholar
Furtmüller, E., Wilderom, C., & Van Dick, R. (2010). Sustainable e-Recruiting portals: How to motivate applicants to stay connected throughout their careers? International Journal of Technology and Human Interaction, 6(3), 120.CrossRefGoogle Scholar
Galanaki, E. (2002). The decision to recruit online: A descriptive study. Career Development International, 7, 243251.CrossRefGoogle Scholar
Garrison, D. R. & Arbaugh, J. B. (2007). Researching the community of inquiry framework: Review, issues, and future directions. The Internet and Higher Education, 10(3), 157172.CrossRefGoogle Scholar
Gartner. (2015). Gartner Reveals Top Predictions for IT Organizations and Users for 2016 and Beyond. Retrieved from www.gartner.com/newsroom/id/3143718.Google Scholar
Gherson, D. & Jackson, A. P. (2000). Web-based compensation planning. In Walker, A. J. (Ed.), Web-based human resources (pp. 8395). New York, NY: McGraw-Hill.Google Scholar
Gill, M. (2000). E-learning technology and strategy for organisations. In Fry, K. (Ed.), The Business of e-learning: Bringing your Organization in the Knowledge Economy. Sydney, Australia University of Technology.Google Scholar
Granger, B. & Levine, E. (2010). The perplexing role of learner control in e-learning: Will learning and the transfer benefit suffer? International Journal of Training and Development, 14(3), 180197.CrossRefGoogle Scholar
Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7), 16451660.CrossRefGoogle Scholar
Gueutal, H. G. & Falbe, C. M. (2005). eHR: Trends in delivery methods. In Gueutal, H. G. & Stone, D. L. (Eds.), The brave new world of eHR: Human resources management in the digital age (pp. 190225). San Francisco, CA: Jossey-Bass.Google Scholar
Gueutal, H. G. & Stone, D. L. (2005). The brave new world of eHR:Human resources management in the digital age. San Francisco, CA: Jossey-Bass.Google Scholar
Gunawardena, C. N. & Zittle, F. J. (1997). Social presence as a predictor of satisfaction within a computer-mediated conferencing environment. The American Journal of Distance Education, 11(3), 826.CrossRefGoogle Scholar
Gutek, B. A. (1995). The dynamics of service: Reflections on the changing nature of customer/provider interactions. San Francisco, CA: Jossey-Bass.Google Scholar
Gutek, B. A., Bhappu, A. D., Liao-Troth, M. A., & Cherry, B. (1999). Distinguishing between service relationships and encounters. Journal of Applied Psychology, 84(2), 218233baker.CrossRefGoogle Scholar
Hall, B. & LeCavalier, J. (2000). E-learning across the enterprise: The benchmarking study of best practices. Retrieved from www.brandon-hall.com/elacenbenstu.html.Google Scholar
Harris, M. M., Van Hoye, G., & Lievens, F. (2003). Privacy and attitudes towards internet-based selection systems: A cross-cultural comparison. International Journal of Selection and Assessment, 11(2/3), 230236.CrossRefGoogle Scholar
Harrison, T. L. & Stone, D. L. (2015). Understanding an e-recruiting method: Aligning website features and applicants’ values. Paper presented at the Academy of Management Annual Meeting, Vancouver, CA.CrossRefGoogle Scholar
Hawking, P., Stein, A., & Foster, S. (2004). E-HR and employee self service: A case study of a Victorian public sector organisation. Journal of Issues in Informing Science and Information Technology, 1, 10191026.Google Scholar
Hays, R. T., Jacobs, J. W., Prince, C., & Salas, E. (1992). Flight simulator training effectiveness: A meta-analysis. Military Psychology, 4(2), 6374.CrossRefGoogle Scholar
Heinssen, R. K., Glass, C. R., & Knight, L. A. (1987). Assessing computer anxiety: Development and validation of the computer anxiety rating scale. Computers in Human Behavior, 3(1), 4959.CrossRefGoogle Scholar
Hornik, S. & Thornburg, S. (2010). Really engaging accounting: Second Life™ as a learning platform. Issues in Accounting Education, 25(3), 361378.CrossRefGoogle Scholar
Huang, J.-H., Jin, B.-H., & Yang, C. (2004). Satisfaction with business-to-employee benefit ssytems and organiational citizenship behavior. International Journal of Manpower, 25(2), 195210.CrossRefGoogle Scholar
Huang, J.-H., Yang, C., Jin, B.-H., & Chiu, H. (2004). Measuring satisfaction with business-to-employee systems. Computers in Human Behavior, 20, 1735.CrossRefGoogle Scholar
Hughes, M. G., Day, E. A., Wang, X., Schuelke, M. J., Arsenault, M. L., Harkrider, L. N., & Cooper, O. D. (2013). Learner-controlled practice difficulty in the training of a complex task: Cognitive and motivational mechanisms. Journal of Applied Psychology, 98, 8098.CrossRefGoogle ScholarPubMed
Huselid, M. A. (1995). The impact of human resource management practices on turnover, productivity, and corporate financial performance. Academy of Management Journal, 38, 635672.CrossRefGoogle Scholar
Inayat, I., Amin, R., Inayat, Z., & Salim, S. S. (2013). Effects of collaborative web based vocational education and training (VET) on learning outcomes. Computers & Education, 68, 153166.CrossRefGoogle Scholar
Jackson, S. E. & Schuler, R. S. (1995). Understanding human resource management in the context of organizations and their environments. Annual review of psychology, 46(1), 237264.CrossRefGoogle ScholarPubMed
Johnson, R. D. & Brown, K. G. (2017). e-Learning. In Hertel, G., Stone, D. L., Johnson, R. D., & Passmore, J. (Eds.), The Wiley-Blackwell handbook of the psychology of the internet at work. Chichester, UK: Wiley-Blackwell.Google Scholar
Johnson, R. D. & Gueutal, H. G. (2012). Transforming HR through technology: The use of eHR and human resource information system in organisations. Alexandria, VA: Society for Human Resource Management. Retrieved from www.shrm.org/about/foundation/products/Documents/HR%20Tech%20EPG-%20Final.pdfGoogle Scholar
Johnson, R. D., Gueutal, H. G., & Falbe, C. M. (2009). Technology, trainees, metacognitive activity and e-learning effectiveness. Journal of Managerial Psychology, 24(6), 545566.CrossRefGoogle Scholar
Johnson, R. D., Hornik, S., & Salas, E. (2008). An empirical examination of factors contributing to the creation of successful e-learning environments. International Journal of Human-Computer Studies, 66(5), 356369.CrossRefGoogle Scholar
Johnson, R. D., Lukaszewski, K. M., & Stone, D. L. (2016). The evolution of the field of human resource information systems: Co-evolution of technology and HR processes. Communications of the Association for Information Systems, 38, 533553.CrossRefGoogle Scholar
Johnson, R. D., Marakas, G. M., & Palmer, J. W. (2006). Differential social attributions toward computing technology: An empirical investigation. International Journal of Human Computer Studies, 64(5), 446460.CrossRefGoogle Scholar
Johnson, R. D., Marakas, G. M., & Palmer, J. W. (2008). Beliefs about the social role and capabilities of computing technology: Development of the computing technology continuum of perspective. Behaviour & Information Technology, 27(2), 169181.CrossRefGoogle Scholar
Johnson, R. D., Stone, D. L., & Navas, D. S. (2011). Factors Related to the Digital Divide and Hispanics’ Use of Computers. Paper presented at the Academy of Management Annual Meeting, San Antonio, TX.Google Scholar
Johnson, R. D., Thatcher, J. B., & Burleson, J. (2016). A framework and research agenda for studying eHRM: Automating and informating capabilities of HR technology. In Stone, D. L. & Dulebohn, J. H. (Eds.), Research in human resource management: Human resource management theory and research on new employment relationships (pp. 225-253). Charlotte, NC: Information Ag.Google Scholar
Karim, M. N. & Behrend, T. S. (2014). Reexamining the nature of learner control: Dimensionality and effects on learning and training reactions. Journal of Business and Psychology, 29(1), 8799.CrossRefGoogle Scholar
Katz, D., & Kahn, R. L. (1978). The social psychology of organizations (2nd edn.). New York, NY: Wiley.Google Scholar
Kavanagh, M. J. & Johnson, R. D. (2018). Human resource information systems: Basics, applications, and future directions (4th edn.). Thousand Oaks, CA: Sage.Google Scholar
Kehoe, J. F., Dickter, D. N., Russell, D. P., & Sacco, J. M. (2005). E-selection. In Gueutal, H. G. & Stone, D. L. (Eds.), The brave new world of e HR: Human resource management in the digitalaAge. San Francisco, CA: Jossey-Bass.Google Scholar
Keith, N. & Frese, M. (2005). Self-regulation in error management training: Emotion control and metacognition as mediators of performance effects. Journal of Applied Psychology, 90, 677691.CrossRefGoogle ScholarPubMed
Kiesler, S., Siegel, J., & McGuire, T. W. (1984). Social psychological aspects of computer-mediated communication. American Psychologist, 39, 11231134.CrossRefGoogle Scholar
Kraichy, D. & Chapman, D. S. (2014). Tailoring web-based recruiting messages: Individual differences in the persuasiveness of affective and cognitive messages. Journal of Business and Psychology, 29(2), 253268.CrossRefGoogle Scholar
Kraiger, K., Ford, J. K., & Salas, E. (1993). Application of cognitive, skill-based, and affective theories of learning outcomes to new methods of training evaluation. Journal of Applied Psychology, 78(2), 311328.CrossRefGoogle Scholar
Kraiger, K. & Jerden, E. (2007). A meta-analytic investigation of learner control: Old findings and new directions. In Fiore, S. M. & Salas, E. (Eds.), Toward a science of distributed learning (pp. 6590). Washington, DC: American Psychological Association.CrossRefGoogle Scholar
Larsen, C. R., Oestergaard, J., Ottesen, B. S., & Soerensen, J. L. (2012). The efficacy of virtual reality simulation training in laparoscopy: a systematic review of randomized trials. Acta obstetricia et gynecologica Scandinavica, 91(9), 10151028.CrossRefGoogle ScholarPubMed
Lim, C. K. (2001). Computer self-efficacy, academic self-concept, and other predictors of satisfaction and future participation of adult distance learners. The American Journal of Distance Education, 15(2), 4151.CrossRefGoogle Scholar
Long, L. K., Dubois, C., & Faley, R. (2009). A case study analysis of factors that influence attrition rates in voluntary online training programs. International Journal of E-learning, 8(3), 347359.Google Scholar
Lukaszewski, K. M., Stone, D. L., & Johnson, R. D. (2016). Impact of human resource information system policies on privacy. AIS Transactions on Human-Computer Interaction, 8(2), 5873.CrossRefGoogle Scholar
Makransky, G. & Glas, C. A. (2011). Unproctored internet test verification: Using adaptive confirmation testing. Organizational Research Methods, 14(4), 608630.CrossRefGoogle Scholar
Marakas, G. M., Yi, M. Y., & Johnson, R. D. (1998). The multilevel and multifaceted character of computer self-efficacy: Toward clarification of the construct and an integrative framework for research. Information Systems Research, 9(2), 126163.CrossRefGoogle Scholar
Markus, M. L. & Robey, D. (1988). Information technology and organizational change: Causal structure in theory and research. Management Science, 34(5), 583598.CrossRefGoogle Scholar
Martin, C. L. & Nagao, D. H. (1989). Some effects of computerized interviewing on job applicant responses. Journal of Applied Psychology, 74(1), 7280.CrossRefGoogle Scholar
Mauldin, E. G. (2003). An experimental examination of information technology and compensation structure complementarities in an expert system context. Journal of Information Systems Research, 17, 1941.CrossRefGoogle Scholar
Maurath, D. (2014). A critical incident for big data. TIP: The Industrial-Organizational Psychologist, 51(3), 1625.Google Scholar
McDaniel, R., Lindgren, R., & Friskics, J. (2012). Using badges for shaping interactions in online learning environments. Paper presented at the 2012 IEEE International Professional Communication Conference, Orlando, FL.CrossRefGoogle Scholar
McManus, M. A. & Ferguson, M. W. (2003). Biodata, personality, and demographic differences of recruits from threes sources. International Journal of Selection and Assessment, 11, 175183.CrossRefGoogle Scholar
Mennecke, B. E., Hassall, L. M., & Triplett, J. (2008). The mean business of Second Life: Teaching entrepreneurship, technology and e-commerce in immersive environments. MERLOT Journal of Online Learning and Teaching, 4(3), 339348.Google Scholar
Mennecke, B. E., Triplett, J. L., Hassall, L. M., Conde, Z. J., & Heer, R. (2011). An examination of a theory of embodied social presence in virtual worlds. Decision Sciences, 42(2), 413450.CrossRefGoogle Scholar
Merchant, Z., Goetz, E. T., Keeney-Kennicutt, W., Kwok, O., Cifuentes, L., & Davis, T. J. (2012). The learner characteristics, features of desktop 3D virtual reality environments, and college chemistry instruction: A structural equation modeling analysis. Computers & Education, 59(2), 551568.CrossRefGoogle Scholar
Mohamed, A. A., Orife, J. N., & Wibowo, K. (2002). The legality of key word search as a personnel selection tool. Employee Relations, 24, 516522.CrossRefGoogle Scholar
Mooney, A. (May 15, 2017). US faces crisis as pension funding hole hits $3.85tn. Financial Times. Retrieved from www.ft.com/content/f2891b34-3705-11e7-99bd-13beb0903fa3.Google Scholar
Mujber, T. S., Szecsi, T., & Hashimi, M. S. (2004). Virtual reality applications in manufacturing process simulation. Journal of materials processing technology, 155, 18341838.CrossRefGoogle Scholar
Mullich, J. (2004). A second act for e-learning. Workforce Management, 83, 5155.Google Scholar
Nguyen, H. H. D., & Ryan, A. M. (2008). Does stereotype threat affect test performance of minorities and women? A meta-analysis of experimental evidence. Journal of Applied Psychology, 24, 645662.Google Scholar
Nikolaou, I. (2014). Social networking web sites in job search and employee recruiting. International Journal of Selection and Assessment, 22, 179189.CrossRefGoogle Scholar
Organ, D. (1988). Organizational citizenship behavior: The good soldier syndrome. Lexington, MA: Lexington Books.Google Scholar
Orlikowski, W. J. (1992). The duality of technology: Rethinking the concept of technology in organizations. Organization Science, 3(3), 398427.CrossRefGoogle Scholar
Orvis, K. A., Brusso, R. C., Wasserman, M. E., & Fisher, S. L. (2010). E-nabled for e-learning? The moderating role of personality in determining the optimal degree of learner control in an e-learning environment. Human Performance, 24(1), 6078.CrossRefGoogle Scholar
Orvis, K. A., Fisher, S. L., & Wasserman, M. E. (2009). Power to the people: Using learner control to improve trainee reactions and learning in web-based instructional environments. Journal of Applied Psychology, 94, 960971.CrossRefGoogle Scholar
Oswald, F. L., Carr, J. Z., & Schmidt, A. M. (2001). The medium and the message: Dual effects of supervision and web-based testing on measurement equivalence for ability and personality measures. Paper presented at the Society for Industrial and Organizational Psychoogy Annual Meeting, San Diego, CA.Google Scholar
Overton, R. C., Harms, H. J., Taylor, L. R., & Zickar, M. J. (1997). Adapting to adaptive testing. Personnel Psychology, 50, 171185.CrossRefGoogle Scholar
Panepinto, R. (1995). Voice technology for 401(k) plans. Benefits Quarterly, 11, 811.Google Scholar
Pew Internet. (2017). Minorities use of the internet and broadband. Retrieved from www.pewinternet.org/fact-sheet/internet-broadband/.Google Scholar
Piccoli, G., Ahmad, R., & Ives, B. (2001). Web-based virtual learning environments: A research framework and a preliminary assessment of effectiveness in basic IT skills training. MIS Quarterly, 25(4), 401426.CrossRefGoogle Scholar
Ployhart, R. E., Weekley, J. A., Holtz, B. C., & Kemp, C. (2003). Web‐based and paper‐and‐pencil testing of applicants in a proctored setting: Are personality, biodata, and situational judgment tests comparable? Personnel Psychology, 56(3), 733752.CrossRefGoogle Scholar
Potosky, D., & Bobko, P. (2004). Selection testing via the internet: Practical considerations and exploratory empirical findings. Personnel Psychology, 57, 10031034.CrossRefGoogle Scholar
Robson, K., Plangger, K., Kietzman, J. H., McCarthy, I., & Pitt, L. (2015). Is it all a game? Understanding the principles of gamification. Business Horizons, 588(4), 411420.CrossRefGoogle Scholar
Rosenbloom, J. S., & Hallman, G. V. (1991). Employee benefit planning. Upper Saddle River, NJ: Prentice Hall.Google Scholar
Rynes, S. L. (1991). Recruitment, job choice, and post-hire consequences: A call for new research directions. In Dunnette, M. D. & Hough, L. M. (Eds.), Handbook of industrial and organizational psychology (2nd edn., vol. 2, pp. 399444). Palo Alto, CA: Consulting Psychologists.Google Scholar
Salas, E., DeRouin, R., & Littrell, L. (2005). Research-based guidelines for designing distance learning: What we know so far. In Guetal, H. G. & Stone, D. L. (Eds.), The brave new world of eHr (pp. 104137. San Francisco, CA: Jossey-Bass.Google Scholar
Salgado, J. F. & Moscoso, S. (2003). Internet-based personality testing: Equivalence of measures and assesses’ perceptions and reactions. International Journal of Selection and Assessment, 11, 194205.CrossRefGoogle Scholar
Scheu, C., Ryan, A. M., & Nona, F. (1999). Company web sites as a recruiting mechanism: What influences applicant impressions. Paper presented at the Society for Industrial and Organizational Psychology Annual Conference, Atlanta, GA.Google Scholar
Schmidt, A. M. & Ford, J. K. (2003). Learning within a learner control training environment: The interactive effects of goal orientation and metacognitive instruction on learning outcomes. Personnel Psychology, 56, 405429.CrossRefGoogle Scholar
Schmidt, J. A., Chapman, D. S., & Jones, D. A. (2015). Does emphasizing different types of person–environment fit in online job ads influence application behavior and applicant quality? Evidence from a field experiment. Journal of Business and Psychology, 30(2), 267282.CrossRefGoogle Scholar
Searle, R. H. (2002). Organizational justice in e-recruiting: Issues and controversies. Surveillance & society, 1(2), 227231.CrossRefGoogle 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. International Journal of Selection and Assessment, 19(1), 3140.CrossRefGoogle Scholar
Sierra-Cedar. (2016). Sierra-Cedar 2015–2016 HRSystems Survey: 18th Annual Edition. Alpharetta, GA: SierraCedar.Google Scholar
Silvester, J., Anderson, N., Haddleton, E., Cunningham-Snell, N., & Gibb, A. (2000). A cross-modal comparison of telephone and face-to-face selection interviews in graduate recruitment. International Journal of Selection and Assessment, 8(1), 1621.CrossRefGoogle Scholar
Sinar, E. F. & Reynolds, D. H. (2001). Applicant reactions to internet-based selection techniques. Paper presented at the 16th Annual Conference of the Society for Industrial and Organizational Psychology, San Diego, CA.Google Scholar
Sitzmann, T., Brown, K. G., Casper, W. J., Ely, K., & Zimmerman, R. D. (2008). A review and meta-analysis of the nomological network of trainee reactions. Journal of Applied Psychology, 93(2), 280295.CrossRefGoogle ScholarPubMed
Sitzmann, T. & Ely, K. (2010). Sometimes you need a reminder: The effects of self-regulation on regulatory processes, learning and attrition. Journal of Applied Psychology, 95(1), 132144.CrossRefGoogle Scholar
Sitzmann, T., Kraiger, K., Stewart, D., & Wisher, R. (2006). The comparative effectiveness of web-based and classroom instruction: A meta-analysis. Personnel Psychology, 59(3), 623664.CrossRefGoogle Scholar
Smith, T. L. (1996). Using computer technology to enhance learning: Compensation in the real world. Journal of Education for Business, 72(2), 98101.CrossRefGoogle Scholar
Snyder, E. & Hartig, J. R. (2013). Gamification of board review: A residency curricular innovation. Medical Education, 47(5), 524525.CrossRefGoogle ScholarPubMed
Society for Human Resource Management. (2002). The future of the HR profession: Eight leading consulting firms share their visions for the future of human resources. Retrieved from www.shrm.org/pressroom/Documents/future_of_hr.pdf.Google Scholar
Society for Human Resource Management. (2007). SHRM case study: Manager self-service. Retrieved from www.shrm.org/hrdisciplines/technology/Articles/Pages/CMS_006604.Google Scholar
Steele, C. M., & Aronson, J. (1995). Stereotype threat and the intellectual test performance of African Americans. Journal of Personality and Social Psychology, 69(5), 797811.CrossRefGoogle ScholarPubMed
Stone, D. L., Deadrick, D. L., Lukaszewski, K. M., & Johnson, R. D. (2015). The influence of technology on the future of human resource management. Human Resource Management Review, 25(2), 216231.CrossRefGoogle Scholar
Stone, D. L., & Dulebohn, J. H. (2013). Emerging issues in theory and research on electronic human resource management (eHRM). Human Resource Management Review, 23(1), 15.CrossRefGoogle Scholar
Stone, D. L., Johnson, R. D., Stone-Romero, E. F., & Hartman, M. (2006). A comparative study of Hispanic-American and Anglo-American cultural values and job choice preferences. Management Research, 4, 722.Google Scholar
Stone, D. L., Krueger, D., & Takach, S. (2017). Social issues associated with the internet at work. In Hertel, G., Stone, D. L., Johnson, R. D., & Passmore, J. (Eds.), Handbook of the Psychology of the Internet at Work (pp. 423448). Chichester, UK: Wiley Blackwell.Google Scholar
Stone, D. L., & Lukaszewski, K. M. (2009). An expanded model of the factors affecting the acceptance and effectiveness of electronic human resource management systems. Human Resource Management Review, 19(2), 134143.CrossRefGoogle Scholar
Stone, D. L., Lukaszewski, K. M., & Isenhour, L. C. (2005). E-recruiting: Online strategies for attracting talent. In Gueutal, H. G. & Stone, D. L. (Eds.), The brave new world of eHR: Human resources management in the digital age (pp. 2253). San Francisco, CA: Jossey Bass.Google Scholar
Stone, D. L., Lukaszewski, K. M., Stone-Romero, E. F., & Johnson, T. L. (2013). Factors affecting the effectiveness and acceptance of electronic selection systems. Human Resource Management Review, 23(1), 5070.CrossRefGoogle Scholar
Stone, D. L., Stone-Romero, E. F., & Lukaszewski, K. (2003). The functional and dysfunctional consequences of human resource information technology for organizations and their employees. In Stone, D. L. (Ed.), Advances in human performance and cognitive engineering research (pp. 3768). Oxford, UK: JAI Press.CrossRefGoogle Scholar
Stone, E. F. & Stone, D. L. (1990). Privacy in organizations: Theoretical issues, research findings, and protection mechanisms. Research in personnel and human resources management, 8(3), 349411.Google Scholar
Stone-Romero, E. F., Isenhour, L. C., & Stone, D. L. (2011). Relations among values,ethnicity, and job choice trade off preferences. Paper presented at the Academy of Management Annual Meeting, San Antonio, TX.Google Scholar
Sturman, M. C., Hannon, J. M., & Milkovich, G. T. (1996). Computerized decision aids for flexible benefits decisions: The effects of an expert system and decision support system on employee intentions and satisfaction with benefits. Personnel Psychology, 49(4), 883908.CrossRefGoogle Scholar
Sturman, M. C. & Milkovich, G. T. (1995). Validating expert systems: a demonstration using personal choice expert, a flexible employee benefit system. Decision Sciences, 26(1), 105118.CrossRefGoogle Scholar
Thatcher, M. E. & Oliver, J. R. (2001). The impact of technology investments on a firm’s production efficiency, product quality, and productivity. Journal of Management Information Systems, 18(2), 1745.CrossRefGoogle Scholar
Todd, P. & Benbasat, I. (1991). An experimental investigation of the impact of computer based decision aids on decision making strategies. Information Systems Research, 2(2), 87115.CrossRefGoogle Scholar
Twenge, J. M., Campbell, S. M., Hoffman, B. J., & Lance, C. E. (2010). Generational differences in work values: Leisure and extrinsic values increasing, social and intrinsic values decreasing. Journal of Management, 36(5), 11171142.CrossRefGoogle Scholar
Ulrich, D. (2001). From e-Business to e-HR. IHRIM Journal, 5, 9097.Google Scholar
Webster, J. & Hackley, P. (1997). Teaching effectiveness in technology-mediated distance learning. Academy of Management Journal, 40(6), 12821309.CrossRefGoogle Scholar
Welsh, E. T., Wanberg, C. R., Brown, K. G., & Simmering, M. J. (2003). E-learning: emerging uses, empirical results and future directions. International Journal of Training and Development, 7(4), 245258.CrossRefGoogle Scholar
Whitman, T. S. & Hyde, A. C. (1978). HRIS: Systematically matching the right person to the right position. Defense Management Journal, 14(2), 2834.Google Scholar
Wiechmann, D. & Ryan, A. M. (2003). Reactions to computerized testing in selection contexts. International Journal of Selection and Assessment, 11(2/3), 215229.CrossRefGoogle Scholar
Workscape. (2010). Automated compensation planning process enables more strategic decision making at Raytheon. Retrieved from www.workscape.com/~/media/Files/Client_Case_Studies/WorkscapeRaytheonCaseStudy.ashx.Google Scholar
Yanson, R. & Johnson, R. D. (2016). An empirical examination of e-learning design: The role of trainee socialization and complexity in short term training. Computers & Education, 101, 4354.CrossRefGoogle Scholar
Zhang, D. (2003). Powering e-learning in the new millennium: An overview of e-learning and enabling technology. Information Systems Frontiers, 5(2), 201212.CrossRefGoogle Scholar
Zielinski, D. (2000). The lie of online learning. Training, 37(2), 3840.Google Scholar
Zingheim, P. & Schuster, J. R. (2004). What’s the next great pay and reward innovation? Business value, paying for skill, and the internet. IHRIM Journal, 3(5), 4750.Google Scholar
Zuboff, S. (1985). Automate/informate: The two faces of intelligent technology. Organizational Dynamics, 14(2), 518.CrossRefGoogle Scholar
Zusman, R. R. & Landis, R. S. (2002). Applicant preferences for web-based versus traditional job postings. Computers in Human Behavior, 18, 285296.CrossRefGoogle Scholar

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×