Are new work practices applied together with ICT and AMT?

References

• Arnal, E., Ok, W., & Torres, R. (2003). Knowledge, work organization and economic growth. In C. E. Barfield, G. Heiduk, & P. J. J. Welfens, (Eds.), Internet, economic growth and globalization (pp. 327–336). Berlín: Springer.10.1787/18151981
   Google Scholar
• Arvanitis, S., & Loukis, E. (2009). Information and communication technologies, human capital, workplace organization and labor productivity: A comparative study based on firm-level data for Greece and Switzerland. Information Economics and Policy, 21, 43–61.10.1016/j.infoecopol.2008.09.002
   Web of Science ®Google Scholar
• Balan, A. (2009). The knowledge management – Necessity for the modernization of the organizations. Journal of Applied Economics Sciences, 4, 494–501.
   Google Scholar
• Bartel, A., Ichinowski, C., & Shaw, K. (2007). How does information technology really affect productivity? Plant-level comparisons of product innovation, process improvement and worker skills. Quarterly Journal of Economics, 122, 1721–1758.
   Web of Science ®Google Scholar
• Basaglia, S., Caporarello, L., Magni, M., & Pennarola, F. (2010). IT knowledge integration capability and team performance: The role of team climate. International Journal of Information Management, 30, 542–551.10.1016/j.ijinfomgt.2010.04.003
   Web of Science ®Google Scholar
• Battisti, G., & Iona, A. (2009). The intra-firm diffusion of complementary innovations: Evidence from the adoption of management practices by British establishments. Research Policy, 38, 1326–1339.10.1016/j.respol.2009.06.002
   Web of Science ®Google Scholar
• Bayo-Moriones, A., & Merino-Díaz de Cerio, J. (2004). Employee involvement: Its interaction with advanced manufacturing technologies, quality management, and inter-firm collaboration. Human Factors and Ergonomics in Manufacturing & Service Industries, 12, 117–134.
   Web of Science ®Google Scholar
• Bayo-Moriones, A., Bello-Pintado, A., & Merino-Díaz-de-Cerio, J. (2010). The effects of integrated manufacturing on job characteristics. New Technology, Work and Employment, 25, 63–79.10.1111/ntwe.2010.25.issue-1
   Web of Science ®Google Scholar
• Bayo-Moriones, A., Merino-Díaz-de-Cerio, J., Escamilla-de-León, S. A., & Selvam, R. M. (2011). The impact of ISO 9000 and EFQM on the use of flexible work practices. International Journal of Production Economics, 130, 33–42.10.1016/j.ijpe.2010.10.012
   Web of Science ®Google Scholar
• Beer, M., Spector, B., Lawrence, P., Mills, D. Q., & Walton, R. (1984). Human resource management: A general’s management perspective. New York, NY: Free Press.
   Google Scholar
• Bloom, N., & Van Reenen, J. (2010). Why do management practices differ across firms and countries? Journal of Economic Perspectives, 24, 203–224.10.1257/jep.24.1.203
   Web of Science ®Google Scholar
• Bloom, N., Garicano, L., Sadun, R., & Van Reenen, J. (2014). The distinct effects of information technology and communication technology on firm organization. Management Science, 60, 2859–2885.
   Web of Science ®Google Scholar
• Bloom, N., Sadun, R., & Van Reenen, J. (2010). Recent advances in the empirics of organizational economics. Annual Review of Economics, 2, 105–137.10.1146/annurev.economics.050708.143328
   Web of Science ®Google Scholar
• Blumberg, M., & Gerwin, D. (1984). Coping with advanced manufacturing technology. Journal of Organizational Behavior, 5, 113–130.10.1002/(ISSN)1099-1379
   Google Scholar
• Breaugh, J. (1985). The measurement of work autonomy. Human Relations, 38, 551–570.10.1177/001872678503800604
   Web of Science ®Google Scholar
• Bresnahan, T., Brynjolfsson, E., & Hitt, L. (2002). Information technology, workplace organization, and the demand for skilled labor: Firm-level evidence. The Quarterly Journal of Economics, 117, 339–376.10.1162/003355302753399526
   Web of Science ®Google Scholar
• Brynjolfsson, E., Hitt, L., & Yang, S. (2002). Intangible assets: Computers and organizational capital. Brookings Papers on Economic Activity, 1, 137–180.10.1353/eca.2002.0003
   Google Scholar
• Buech, V., Michel, A., & Sonntag, K. (2010). Suggestion systems in organizations: What motivates employees to submit suggestions? European Journal of Innovation Management, 13, 507–525.10.1108/14601061011086311
   Google Scholar
• Cairncross, F. (1997). The death of the distance. Cambridge, MA: Harvard University Press.
   Google Scholar
• Cappelli, P., & Neumark, D. (2001). Do high-performance work practices improve establishment-level outcomes? Industrial and Labor Relations Review, 54, 737–775.10.1177/001979390105400401
   Web of Science ®Google Scholar
• Colombo, M., & Delmastro, M. (2002). The determinants of organizational change and structural inertia: Technological and organizational factors. Journal of Economics & Management Strategy, 11, 595–635.
   Web of Science ®Google Scholar
• Crespi, G., Criscuolo, C., & Haskel, J. (2007). Information technology, organizational change and productivity growth: Evidence from UK firms. CEP Discussion Paper No. 783. London: Centre for Economic Performance, London School of Economics and Political Science.
   Google Scholar
• Cummings, T., & Blumberg, M. (1987). Advanced manufacturing technology and work design. In T. Wall, C. Clegg, & N. Kemp (Eds.), The human side of advanced manufacturing technology (pp. 37–60). Manchester, NH: Wiley.
   Google Scholar
• Darbanhosseiniamirkhiz, M., & Ismail, W. (2012). Advanced manufacturing technology adoption in SMEs: An integrative model. Journal of Technology Management & Innovation, 7, 112–120.
   Google Scholar
• Das, A., & Jayaran, J. (2003). Relative importance of contingency variables for advanced manufacturing technology. International Journal of Production Research, 41, 4429–4452.10.1080/00207540310001595819
   Web of Science ®Google Scholar
• Davis, C., & Hufnagel, E. (2007). Through the eyes of experts: A socio-cognitive perspective of the automatization of fingerprint work. MIS Quarterly, 31, 681–703.
   Web of Science ®Google Scholar
• De Menezes, L. M., & Wood, S. (2006). The reality of flexible work systems in Britain. The International Journal of Human Resource Management, 17, 106–138.10.1080/09585190500366599
   Web of Science ®Google Scholar
• Dean, J. W., & Snell, S. A. (1991). Integrated manufacturing and job design: Moderating effects of organizational inertia. Academy of Management Journal, 34, 776–804.10.2307/256389
   Web of Science ®Google Scholar
• Dedrick, J., Gurbaxani, V., & Kraemer, K. (2003). Information technology and economic performance: A critical review of the empirical evidence. ACM Computing Surveys, 55, 1–28.10.1145/641865
   Google Scholar
• Delbridge, R., & Whitfield, K. (2001). Employee perceptions of job influence and organizational participation. Industrial Relations, 40, 472–487.
   Web of Science ®Google Scholar
• Den Hertog, F., & Tolner, T. (1998). Groups and teams. In M. Poole & M. Warner (Eds.), The handbook of human resource management (pp. 62–71). London: International Thomson Business Press.
   Google Scholar
• Denton, K., & Richardson, P. (2006). Team-building webs. Team Performance Management, 12, 17–22.10.1108/13527590610667011
   Google Scholar
• Dewet, T., & Jones, G. R. (2001). The role of information technology in organization: A review, a model, and assessment. Journal of Management, 27, 313–346.10.1177/014920630102700306
   Web of Science ®Google Scholar
• Dewhurst, F., Martínez-Lorente, A., & Sánchez-Rodríguez, C. (2003). An initial assessment of the influence of IT on TQM: A multiple case study. International Journal of Operations & Production Management, 23, 348–374.
   Web of Science ®Google Scholar
• Ding, W., Stephan, L., & Winkler, A. (2010). the impact of information technology on academic scientists’ productivity and collaboration patterns. Management Science, 56, 1439–1461.10.1287/mnsc.1100.1195
   Web of Science ®Google Scholar
• Evans, W. R., & Davis, W. D. (2005). High-performance work systems and organizational performance: The mediating role of internal social structure. Journal of Management, 31, 758–775.10.1177/0149206305279370
   Web of Science ®Google Scholar
• Fairuz, M., Chong, S., & Chew, K. (2008). Learning organization disciplines and Internet usage: An empirical study from Malaysia. International Journal of Management and Enterprise Development, 5, 462–483.10.1504/IJMED.2008.018762
   Google Scholar
• Forman, C., & van Zeebroeck, N. (2012). From wires to partners: How the internet has fostered R&D collaborations within firms. Management Science, 58, 1549–1568.10.1287/mnsc.1110.1505
   Web of Science ®Google Scholar
• Gouvea Da Costa, S. E., & Pinheiro De Lima, E. (2009). Advanced manufacturing technology adoption: An integrated approach. Journal of Manufacturing Technology Management, 20, 74–96.
   Google Scholar
• Green, F. (2012). Employee involvement, technology, and evolution in job skills: A task-based analysis. Industrial & Labor Relations Review, 65, 36–67.
   Google Scholar
• Greenan, N. (2003). Organizational change, technology, employment and skills: An empirical study of French manufacturing. Cambridge Journal of Economics, 27, 287–316.10.1093/cje/27.2.287
   Web of Science ®Google Scholar
• Greenan, N., & Guellec, D. (1998). Firm organization, technology and performance: An empirical study. Economics of Innovation and New Technology, 6, 313–347.10.1080/10438599800000024
   Google Scholar
• Greenan, N., & Walkowiak, E. (2005). ‘Informatique. Organization du travail et interactions sociales’ [Computerisation. Work organization and social interactions]. Economie et statistique, 387, 35–63.10.3406/estat.2005.7179
   Google Scholar
• Gressgård, L. J. (2011). Virtual team collaboration and innovation in organizations. Team Performance Management: An International Journal, 17, 102–119.10.1108/13527591111114738
   Google Scholar
• Grimshaw, D., Cooke, F., Grugulis, I., & Vicent, S. (2002). New technology and changing organizational forms: Implications for managerial control and skills. New Technology, Work and Employment, 17, 186–203.10.1111/ntwe.2002.17.issue-3
   Web of Science ®Google Scholar
• Guthrie, J., Flood, P., Liu, W., & MacCurtain, S. (2009). High peformance work systems in Ireland: Human resource and organizational outcomes. The International Journal of Human Resource Management, 20, 112–125.10.1080/09585190802528433
   Web of Science ®Google Scholar
• Hackman, R., & Oldham, G. (1976). Motivation through the design of work: Test of a theory. Organizational Behavior and Human Performance, 16, 250–279.10.1016/0030-5073(76)90016-7
   Web of Science ®Google Scholar
• Han, T.-S., Chiang, H.-H., & Chang, A. (2010). Employee participation in decision making, psychological ownership and knowledge sharing: Mediating role of organizational commitment in Taiwanese high-tech organizations. The International Journal of Human Resource Management, 21, 2218–2233.10.1080/09585192.2010.509625
   Web of Science ®Google Scholar
• Hempell, T., & Zwick, T. (2008). New technology, work organization and innovation. Economics of Innovation and New Technology, 17, 331–354.10.1080/10438590701279649
   Google Scholar
• Hitt, L., & Brynjolfsson, E. (1997). Information technology and internal firm organization: An exploratory analysis. Journal of Management Information Systems, 14, 81–101.
   Google Scholar
• Hoogervorst, J., Koopman, P., & van der Flier, H. (2002). Human resource strategy for the new ICT-driven business context. International Journal of Human Resource Management, 13, 1245–1265.10.1080/09585190210149501
   Web of Science ®Google Scholar
• Hsu, B., Wan, M., Chen, W., & Yu, H. (2007). Effect of virtualization level on team effectiveness in information and electronic industries: The moderating effect of task characteristics, PICMET 2007 proceedings, 5–9 August, Oregon, Portland.
   Google Scholar
• Ichniowski, C., & Shaw, K. (2003). Beyond incentive pay: Insiders’ estimates of the value of complementary human resource management practices. Journal of Economic Perspectives, 17, 155–180.10.1257/089533003321164994
   Web of Science ®Google Scholar
• Jackson, P. R., & Wall, T. (1991). How does operator control enhance performance of advanced manufacturing technology? Ergonomics, 34, 1301–1311.10.1080/00140139108964869
   Web of Science ®Google Scholar
• Jiménez-Jiménez, D., & Sanz-Valle, R. (2008). Could HRM support organizational innovation. The International Journal of Human Resource Management, 19, 1208–1221.10.1080/09585190802109952
   Web of Science ®Google Scholar
• Kelly, M. (1990). New process technology, job design, and work organization: A contingency model. American Sociological Review, 55, 191–208.
   Web of Science ®Google Scholar
• Kwon, K., Chung, K., Roh, H., Chadwick, C., & Lawler, J. (2012). The moderating effects of organizational context on the relationship between voluntary turnover and organizational performance: Evidence from Korea. Human Resource Management, 51, 47–70.10.1002/hrm.v51.1
   Web of Science ®Google Scholar
• Larraza Quintana, M., Urtasun Alonso, A., & Garcia Olaverri, C. (2006). High-performance work systems and firms’ operational performance: The moderating role of technology. The International Journal of Human Resource Management, 17, 70–85.
   Web of Science ®Google Scholar
• Leonardi, P. (2007). Activating the informational capabilities of information technology for organizational change. Organization Science, 18, 813–831.10.1287/orsc.1070.0284
   Web of Science ®Google Scholar
• Leonardi, P. M., & Bailey, D. E. (2008). Transformational technologies and the creation of new work practices: Making implicit knowledge explicit in task-based offshoring. MIS Quarterly, 32, 411–436.
   Web of Science ®Google Scholar
• Lindbeck, S., & Snower, D. (2000). Multitask learning and the reorganisation of work: From tayloristic to holistic organization. Journal of Labor Economics, 18, 353–376.10.1086/jole.2000.18.issue-3
   Web of Science ®Google Scholar
• Martin, L. (2011). The effects of ICT use on employee’s motivations: An empirical situation. Economics Bulletin, 31, 1592–1605.
   Google Scholar
• Meyer, J. P., Stanley, D. J., Herscovitch, L., & Topolnytsky, L. (2002). Affective, continuance, and normative commitment to the organization: A meta-analysis of antecedents, correlates, and consequences. Journal of Vocational Behavior, 61, 20–52.10.1006/jvbe.2001.1842
   Web of Science ®Google Scholar
• Milgrom, P., & Roberts, J. (1990). The economics of modern manufacturing: Technology, strategy and organization. American Economic Review, 80, 511–528.
   Web of Science ®Google Scholar
• Morgeson, F., & Humphrey, E. (2006). The work design questionnaire (WDQ): Developing and validating a comprehensive measure for assessing job design and the nature of the work. Journal of Applied Psychology, 91, 1321–1339.10.1037/0021-9010.91.6.1321
   PubMed Web of Science ®Google Scholar
• Morris, M., & Venkatesh, V. (2010). Job characteristics and job satisfaction: Understanding the role of enterprise resource planning system implementation. MIS Quarterly, 34, 143–161.
   Web of Science ®Google Scholar
• Morrison, D., Cordery, J., Girardi, A., & Payne, R. (2005). Job design, opportunities for skill utilization, and intrinsic job satisfaction. European Journal of Work and Organizational Psychology, 14, 59–79.10.1080/13594320444000272
   Web of Science ®Google Scholar
• Nunnally, J. C. (Ed.). (1978). Psychometric theory. New York, NY: McGraw-Hill.
   Google Scholar
• Ordiz-Fuentes, M., & Fernández-Sánchez, E. (2003). High-involvement practices in human resource management: Concept and factors that motivate their adoption. International Journal of Human Resource Management, 14, 511–529.10.1080/0958519032000057565
   Web of Science ®Google Scholar
• Osterman, P. (1994). How common is workplace transformation and how can we explain it? Industrial and Labor Relation Review, 47, 173–188.10.1177/001979399404700202
   Web of Science ®Google Scholar
• Parker, S. (2003). Longitudinal effects of lean production on employee outcomes and the mediating role of work characteristics. Journal of Applied Psychology, 88, 620–634.10.1037/0021-9010.88.4.620
   PubMed Web of Science ®Google Scholar
• Patterson, M., West, M., & Wall, T. (2004). Integrated manufacturing, empowerment, and company performance. Journal of Organizational Behavior, 25, 641–665.10.1002/(ISSN)1099-1379
   Web of Science ®Google Scholar
• Ramirez, M., Guy, F., & Beale, D. (2007). Contested resources: Unions, employers, and the adoption of new work practices in US and UK telecommunications. British Journal of Industrial Relations, 45, 495–517.10.1111/bjir.2007.45.issue-3
   Web of Science ®Google Scholar
• Ramsay, H., Scholarios, D., & Harley, B. (2000). Employees and high-performance work systems: Testing inside the black box. British Journal of Industrial Relations, 38, 501–531.10.1111/bjir.2000.38.issue-4
   Web of Science ®Google Scholar
• Rico, R., Sánchez-Manzanares, M., Gil, F., & Gibson, C. (2008). Team implicit coordination processes: A team knowledge-based approach. Academy of Management Review, 33, 163–184.10.5465/AMR.2008.27751276
   Web of Science ®Google Scholar
• Roche, W. (1999). In search of commitment-oriented human resource management practices and the conditions that sustain them. Journal of Management Studies, 36, 653–678.10.1111/1467-6486.00153
   Web of Science ®Google Scholar
• Rosholm, M., Roed, M., & Schone, P. (2013). Are new work practices and new technologies biased against immigrant workers? International Journal of Manpower, 34, 995–1014.
   Web of Science ®Google Scholar
• Rubery, J., & Grimshaw, D. (2001). ICTs and employment: The problem of job quality. International Labour Review, 140, 165–192.10.1111/ilr.2001.140.issue-2
   Web of Science ®Google Scholar
• Saberi, S., Yusuff, M., Zulkifli, N., & Ahmad, M. (2010). Effective factors on advanced manufacturing technology implementation performance: A review. Journal of Applied Sciences, 10, 1229–1242.
   Google Scholar
• Sahaym, A., Steensma, K., & Schilling, M. (2007). The influence of information technology on the use of loosely coupled organizational forms: An industry-level analysis. Organization Science, 18, 865–880.10.1287/orsc.1070.0285
   Web of Science ®Google Scholar
• Schuler, R. S., & Jackson, S. E. (1987). Linking competitive strategies with human resource management practices. Academy of Management Executive, 1, 209–213.
   Google Scholar
• Shaw, J. D., Gupta, N., & Delery, J. E. (2001). Congruence between technology and compensation systems: implications for strategy implementation. Strategic Management Journal, 22, 379–386.10.1002/(ISSN)1097-0266
   Web of Science ®Google Scholar
• Snell, S., & Dean, J. (1992). Integrated manufacturing and human resource management: A human capital perspective. Academy of Management Journal, 35, 467–504.10.2307/256484
   Web of Science ®Google Scholar
• Snell, S., Lepak, D., Dean, J., & Youndt, M. (2000). Selection and training for integrated manufacturing: The moderating effects of job characteristics. Journal of Management Studies, 37, 445–466.10.1111/joms.2000.37.issue-3
   Web of Science ®Google Scholar
• Stock, G., & McDermott, C. (2001). Organizational and strategic predictors of manufacturing technology implementation success: An exploratory study. Technovation, 21, 625–636.10.1016/S0166-4972(01)00051-7
   Web of Science ®Google Scholar
• Sun, X., Tian, Y., & Cui, G. (2008). The empirical study of the impact of advanced manufacturing technology on organizational structure and human resources management, Proceedings of 2007 international conference on management science and engineering, ICMSE’07 (14th), 1548–1553.
   Google Scholar
• Susman, G., & Chase, R. (1986). A sociotechnical systems analysis of the integrated factory. The Journal of Applied Behavioral Science, 22, 257–270.10.1177/002188638602200306
   Web of Science ®Google Scholar
• Symon, G. (2000). Information and communication technologies and the network organization: A critical analysis. Journal of Occupational and Organizational Psychology, 73, 389–414.10.1348/096317900167100
   Web of Science ®Google Scholar
• Thomson, J. D. (1967). Organizations in action. New York, NY: McGraw-Hill.
   Google Scholar
• Van Yperen, N., Rietzschel, E., & De Jonge, K. (2014). Blended working: For whom it may (not) work. PLoS One, 9, 1–8.10.1371/journal.pone.0102921
   Web of Science ®Google Scholar
• Venkatesh, V., Bala, H., & Sykes, T. A. (2010). Impacts of information and communications technology implementation on employee’s jobs in service organizations in India: A multi-method longitudinal field study. Production and Operations Management, 19, 591–613.10.1111/j.1937-5956.2010.01148.x
   Web of Science ®Google Scholar
• Voudouris, I. (2007). The co-evolution of functional and numerical flexibility: Do technology and networking matter? New Technology, Work and Employment, 22, 224–245.10.1111/ntwe.2007.22.issue-3
   Web of Science ®Google Scholar
• Waldeck, N., & Leffakis, Z. (2007). HR perceptions and the provision of workforce training in an AMT environment: An empirical study. Omega, 35, 161–172.10.1016/j.omega.2005.05.001
   Web of Science ®Google Scholar
• Waldeck, N. E. (2007). Worker assessment and the provision of developmental activities with advanced technology: An empirical study. International Journal of Production Economics, 107, 540–554.10.1016/j.ijpe.2006.10.009
   Web of Science ®Google Scholar
• Wall, T., Corbett, J., Margin, R., Clegg, C., & Jackson, P. (1990). Advanced manufacturing technology and work design: Towards a theoretical framework. Journal of Organizational Behavior, 11, 201–219.10.1002/(ISSN)1099-1379
   Web of Science ®Google Scholar
• Wall, T., Jackson, P., & Davids, K. (1992). Operator work design and robotics system performance: A serendipitous field study. Journal of Applied Psychology, 77, 353–362.10.1037/0021-9010.77.3.353
   Web of Science ®Google Scholar
• Walton, R. (1985). From ‘Control’ to ‘Commitment’ in the workplace. Harvard Business Review, 73, 77–84.
   Google Scholar
• Woodward, J. (1965). Industrial organization: Theory and practice. Oxford: Oxford University Press.
   Google Scholar