Achieving Organizational Agility, Intelligence, and Resilience Through Information Systems

2022 ◽  
Keyword(s):  
Information Systems ◽  
Organizational Agility

Implementing Cloud Information Systems for Organizational Agility and Competitive Advantage

2022 ◽  
pp. 39-71
Author(s):  
Kamran Janamian
Keyword(s):  
Information Systems ◽  
Competitive Advantage ◽  
Business Models ◽  
Change Agents ◽  
Business Environment ◽  
Software As A Service ◽  
Organizational Agility ◽  
It Managers ◽  
New Generation ◽  
Theoretical Foundations

In today's competitive business environment, information systems are not a luxury; rather they are vital for survival. A new generation of ISs has been established on cloud capabilities. Moving toward software as a service is not the goal in a business, and if not implemented properly, competitive advantage may even suffer. Managers and change agents should undertake deep study over SaaS implementation before migration. In this chapter, the main elements and features in which CEOs and IT managers should consider in evaluating the SaaS migration option will be provided, and enterprises may be acquainted with the concept, goals, and theoretical foundations of SaaS as a main cloud-based service in the business environment. On the other hand, businesses should undertake some necessary changes in the operating circumstances which are utilization of a proper and modified business models established over a knowledge base strategic movement. This will lead enterprises to achieve the main goals of migrating to SaaS and cloud platforms (i.e., agility, competitive advantage, and innovation).

scholarly journals Knowledge Retention Challenges in Information Systems Development Teams

2022 ◽  
Vol 18 (1) ◽  
pp. 0-0
Keyword(s):  
Information Systems ◽  
Knowledge Retention ◽  
Business Environment ◽  
Systems Development ◽  
Work Environments ◽  
Information Systems Development ◽  
Organizational Agility ◽  
High Turnover ◽  
Financial Organization ◽  
Development Teams

Information systems development (ISD) is an integral part of organizational agility in today’s competitive business environment. High turnover, agile ways of working, and fluid work environments pose challenges for ISD. This paper explores the erosion of knowledge retention (KR) arising from ISD staff churn in a New Zealand-based financial organization in the aftermath of a major earthquake. In this exploratory study, the authors develop a causal model of KR in the ISD context, which articulates the challenges to and consequences of ineffective KR at the routine and exiting stages of KR. The model identifies four challenges—coordination complexity, insufficient resources for knowledge retention, insufficient attention to knowledge retention, and slow staff replacement and handover processes—that can affect the loss of ISD knowledge when routine and exiting KR fall into disarray. This study also reveals that role stress and reduced ISD agility reinforce the cycle of knowledge loss.

Cost Containment in Information Systems

1984 ◽  
Vol 1 (1) ◽  
pp. 175-185
Author(s):  
Michael E. D. Koenig
Keyword(s):  
Information Systems ◽  
Cost Containment

Trust in Management Information Systems (MIS)

2020 ◽  
Vol 64 (1) ◽  
pp. 6-16 ◽  
Author(s):  
Sarah M. Meeßen ◽  
Meinald T. Thielsch ◽  
Guido Hertel
Keyword(s):  
Information Systems ◽  
Information Overload ◽  
Management Information Systems ◽  
Empirical Work ◽  
Future Research ◽  
Management Information ◽  
Trust In Management ◽  
Actual Use ◽  
Trust In Technology ◽  
The Internet Of Things

Abstract. Digitalization, enhanced storage capacities, and the Internet of Things increase the volume of data in modern organizations. To process and make use of these data and to avoid information overload, management information systems (MIS) are introduced that collect, process, and analyze relevant data. However, a precondition for the application of MIS is that users trust them. Extending accounts of trust in automation and trust in technology, we introduce a new model of trust in MIS that addresses the conceptual ambiguities of existing conceptualizations of trust and integrates initial empirical work in this field. In doing so, we differentiate between perceived trustworthiness of an MIS, experienced trust in an MIS, intentions to use an MIS, and actual use of an MIS. Moreover, we consider users’ perceived risks and contextual factors (e. g., autonomy at work) as moderators. The introduced model offers guidelines for future research and initial suggestions to foster trust-based MIS use.

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