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Tripathi, Nachiketa
- Influence Strategies & Organizational Success: Moderating Effect of Organizational Culture
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Authors
Affiliations
1 Department of Business Administration, North Eastern Regional Institute of Management, Joya Nagar, Guwahati 781022, IN
2 Indian Institute of Technology Guwahati, Guwahati 781 039, IN
1 Department of Business Administration, North Eastern Regional Institute of Management, Joya Nagar, Guwahati 781022, IN
2 Indian Institute of Technology Guwahati, Guwahati 781 039, IN
Source
Indian Journal of Industrial Relations: Economics & Social Dev., Vol 45, No 2 (2009), Pagination: 213-228Abstract
The study investigates how organizational culture affects the relationship between downward influence strategies and organizational success. Organizations were classified into two categories (participative and manipulative) and two separate sets of stepwise multiple regressions were performed for each dependent variable, considering influence strategies as independent variable and organizational success variables as dependent variables. The results indicate that participative culture encourages the use of personalized relationship, exchange of benefits and assertiveness, and discourages the use of asserting expertise and negative sanctions to facilitate the success of the organization. Personalized relationship may increase commitment but it is also likely to make organization less effective.
References
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- Transforming Human Resource Management Processes Through Intelligent Systems
Abstract Views :149 |
PDF Views:1
Authors
Affiliations
1 Department of Humanities and Social Sciences, Indian Institute of Technology Guwahati, 781 039, IN
2 Department of Humanities and Social Sciences, Indian Institute of Technology Guwahati - 781039, IN
3 Infosys Limited, Hyderabad, IN
4 Xavier Institute of Management, Bhubaneswar, IN
1 Department of Humanities and Social Sciences, Indian Institute of Technology Guwahati, 781 039, IN
2 Department of Humanities and Social Sciences, Indian Institute of Technology Guwahati - 781039, IN
3 Infosys Limited, Hyderabad, IN
4 Xavier Institute of Management, Bhubaneswar, IN
Source
Indian Journal of Industrial Relations: Economics & Social Dev., Vol 53, No 4 (2018), Pagination: 707-710Abstract
In order to remain competitive in a highly volatile business environment, organizations are required to engage themselves in constant learning. However, designing an effective learning organization demands acquisition and processing of knowledge distributed within and outside the organization. Technologies such as data warehousing, expert systems, best-practice databases, and intranet/internet systems have potentials to acquire, access, store and interpret explicit and implicit knowledge for an effective organizational action (Stein & Zwass 1995). In this communication, authors have emphasized on the smart-technology enabled Human Resource Management System (HRM) as a potential enabler for organizational learning and development. The objective here is to orient HR leaders towards a systematic data driven human resource decision making system which is flexible, scalable and cost effective. One of the few important considerations for building such an intelligent system is undoubtedly exploring the right HRMIT strategy fit.References
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- Regional Variations in Construction Labor Productivity - The Case of Two Indian States
Abstract Views :144 |
PDF Views:0
Authors
Affiliations
1 M. Tech Students, Infrastructure Engineering and Management Division, Department of Civil Engineering, Indian Institute of Technology Guwahati, Guwahati, IN
2 Professor, Department of Humanities and Social Sciences, Indian Institute of Technology Guwahati, Guwahati, IN
3 Associate Professor, Infrastructure Engineering and Management Division, Department of Civil Engineering, Indian Institute of Technology Guwahati, Guwahati, IN
1 M. Tech Students, Infrastructure Engineering and Management Division, Department of Civil Engineering, Indian Institute of Technology Guwahati, Guwahati, IN
2 Professor, Department of Humanities and Social Sciences, Indian Institute of Technology Guwahati, Guwahati, IN
3 Associate Professor, Infrastructure Engineering and Management Division, Department of Civil Engineering, Indian Institute of Technology Guwahati, Guwahati, IN