Technology And Organizational Behavior Issues 644976

Technology And Organizational Behavior Issues 200poin

During the 1970s, the U.S. Air Force Program for Integrated Computer-Aided Manufacturing (ICAM) sought to increase manufacturing productivity through systematic application of computer technology. As companies, systems products and markets become even more complex we will need even more complex modeling to guide and help us make decisions. Describe the culture of your organizational behavior issues and what challenges are present. Discuss the systems that are the most appropriate to introduce into your organization. Analyze a few of the systems that can have the greatest impact on your organization.

Paper For Above instruction

Introduction

Organizational culture and system implementation are critical factors influencing the success of technological integration within organizations. As technological complexity increases, understanding the internal cultural dynamics and selecting suitable systems become essential in navigating organizational change and achieving strategic goals. This paper offers an in-depth analysis of organizational culture and behavioral issues, identifies appropriate technological systems for integration, and evaluates systems with the greatest potential impact.

Organizational Culture and Challenges

The organizational culture encompasses shared values, beliefs, norms, and behaviors that shape how members interact and approach work. In many organizations, this culture influences openness to technological change, resistance levels, and readiness for adaptation. Common cultural challenges include resistance to change, fear of job redundancy, and lack of technical proficiency among employees. Resistance often stems from uncertainty and fear of the unknown, which can hinder the successful adoption of new systems (Schein, 2010). Furthermore, organizational silos and communication barriers can impede the diffusion of innovation and hinder collaboration necessary for system integration.

For example, a hierarchical corporate culture may resist decentralization of decision-making, which modern integrated systems often require. Conversely, an innovative culture that encourages experimentation and continuous learning may be more receptive to adopting complex systems. Addressing these challenges involves fostering a culture of openness, providing adequate training, and aligning system goals with organizational values to enhance acceptance and utilization (Cameron & Quinn, 2011).

Appropriate Systems for Implementation

The selection of appropriate systems hinges on the organization's strategic objectives, operational needs, and cultural readiness. Enterprise Resource Planning (ERP) systems, Customer Relationship Management (CRM), and Business Intelligence (BI) tools are among the most effective for integrated management. ERP systems facilitate seamless information flow across departments, enabling real-time decision-making and operational efficiency (Klaus, Rosemann, & Ginsberg, 2000). CRM systems enhance customer engagement and data-driven marketing strategies, aligning with customer-centric organizational cultures.

Business Intelligence tools further support complex decision-making processes by aggregating data from various sources, offering insights, and predicting future trends (Shang, 2014). For organizations aiming to improve manufacturing productivity, integrating these systems can streamline processes, improve coordination, and foster innovation. The selection should consider technological compatibility, scalability, usability, and alignment with organizational culture (Markus & Tanis, 2000).

Impact of Specific Systems

Among various systems, ERP and Business Intelligence (BI) systems stand out for their transformative potential. ERP systems integrate core functions such as supply chain management, finance, and manufacturing, fostering transparency and operational efficiency. The integration of ERP can eliminate data redundancies, reduce delays, and improve resource allocation (Umble, Haft, & Rao, 2003). This systematic approach aligns with the principles of computer-aided manufacturing from the 1970s, emphasizing systematic control and optimization.

BI systems, on the other hand, leverage advanced analytics and data visualization to support strategic decision-making. For manufacturing organizations, BI tools can analyze production processes, identify bottlenecks, and optimize workflows. They can also support predictive maintenance, reducing downtime and costs (Watson & Wixom, 2007). Implementing these systems requires cultural readiness for data-driven decision-making and technological infrastructure capable of supporting analytics capabilities.

Conclusion

In conclusion, organizational culture significantly influences the success of integrating new systems, especially complex technological tools aimed at improving productivity. Recognizing cultural challenges and fostering a proactive environment are crucial steps. Selecting appropriate systems such as ERP and BI enhances organizational capabilities, streamlines operations, and bolsters decision-making processes. Critical analysis of these systems reveals their potential to revolutionize operations and maintain competitiveness amidst increasing market and technological complexity.

References

  • Cameron, K. S., & Quinn, R. E. (2011). Diagnosing and Changing Organizational Culture: Based on the Competing Values Framework. Jossey-Bass.
  • Klaus, H., Rosemann, M., & Ginsberg, A. (2000). Extending the ERP lifecycle: Insights from case studies. Journal of Enterprise Information Management, 13(5), 318-327.
  • Markus, M. L., & Tanis, C. (2000). The Enterprise System Experience — From Adoption to Success. In R. W. Zmud (Ed.), Framing the Domains of Information Technology Management: Proceedings of the 23rd International Conference on Information Systems (pp. 173–184). AIS.
  • Schein, E. H. (2010). Organizational Culture and Leadership (4th ed.). Jossey-Bass.
  • Shang, Q. (2014). Business intelligence systems and organizational decision-making. Journal of Business & Management, 20(2), 45-60.
  • Umble, E. J., Haft, R. R., & Rao, H. R. (2003). Enterprise resource planning: Implementation procedures and critical success factors. European Journal of Operational Research, 146(2), 241–257.
  • Watson, H. J., & Wixom, B. H. (2007). The Current State of Business Intelligence. Computer, 40(9), 96–99.
  • Schien, E. H. (2010). Organizational Culture and Leadership (4th ed.). Jossey-Bass.
  • Additional scholarly sources to support analysis (if needed)