Effective Decision Making Process and its Impact on Strategic Planning Process: A Case Study of Nigerian Oil Industry

2018 ◽  
Author(s):  
Stanley Chiedozie Nwosu ◽  
2005 ◽  
Vol 11 (1) ◽  
pp. 133-166
Author(s):  
M. Iqbal

ABSTRACTIn the recent past life companies have made many decisions which they have had cause to deeply regret. This paper looks at the range of decision making theories available. It then examines recent examples of decisions that had unfavourable consequences and explores why they were taken, and goes on to describe a systematic approach to decision making which can help management assess more objectively the difficult choices confronting them today. The approach does not require espousal of any specific decision theory or method of value measurement. The focus is on the decision making process and the organisation's capacity to handle change. The paper identifies the three requirements for effective decision making.


2018 ◽  
Vol 29 (1) ◽  
Author(s):  
Marisa Zapata ◽  
Stephen Percy ◽  
Sona Karentz Andrews

Propelled by many factors, including a newly appointed Board of Trustees responsible for governance of our university, resource shortages, and enrollment swings, Portland State University embarked on a strategic planning effort in 2014 with the intent of reunifying a divided campus and creating a bold vision for moving forward in the next five years. While committed from the start to goals of diversity and inclusion, the planning process itself generated greater awareness of and commitment to equity—a bolder vision of empowerment that creates a responsibility to understand and mitigate negative, but often unintended consequences of, campus decisions and action—particularly as they impact groups that have experienced institutional racism and injustice. Equity emerged not only as a goal, with intendant initiatives for action, but also as a commitment to conscientious ongoing attention to decision-making that embraces utilization of an equity lens.


Author(s):  
Tanushri Banerjee ◽  
Arindam Banerjee

There are several challenges faced by decision makers while deploying Business Analytics in their organization. There may not be one resolution approach that is suitable for creating a Business Analytics culture in all organizations. However, it is easy to perceive that most India-based organizations may have similar issues of data organization that may be impeding their progression in the field of Analytics. Based on their research, the authors have proposed a framework for adoption of Analytics in Indian firms in their book “Weaving Analytics for Effective Decision Making” by SAGE. They propose to use that model for explaining certain domain specific adoption of Business Analytics in organizations in India. They have used a case study of a Global Bank which is in the process of establishing its consumer lending USA operations, an offshore captive operation, in India to describe the process of building an Analytics team in an organization in India. Data processed using R has been added as screenshots for supporting the findings.


Conflict ◽  
2019 ◽  
pp. 120-137
Author(s):  
Neil D. Shortland ◽  
Laurence J. Alison ◽  
Joseph M. Moran

In many military and critical incident situations, teams operate as part of a coalition or collective of other organizations. Interoperation adds complexity to the decision-making process because it brings together organizations with (potentially) disparate (and competing) values, priorities, and organizational practices. This chapter examines the issues of value congruence between the person and the organization. Specifically, it discusses value congruence at a situation-specific level (i.e., how does organizational/personal value congruence affect least-worst decision-making in operation) and also the factors within the organization that can facilitate or hinder effective decision-making. Finally, value congruence is extrapolated to examine the overall effects of “person–organization” fit, especially as it pertains to moral behavior and issues of retention.


2020 ◽  
Vol 16 (3) ◽  
pp. 279-297
Author(s):  
Jennifer Capler

PurposeThis article details a qualitative descriptive case study of affective factors of effective decision-making of one local government organization in the United States of America. The specific problem was that many elected American local government representatives lack effective decision-making strategies. This research focus indicated a lack of qualitative research on the real-world experience of factors that were taken into consideration during decision-making within American local government organizations.Design/methodology/approachUsing a local government organization in southwest Illinois, elected representatives were interviewed and observed. The interviews and observations surfaced how the representatives made decisions. Data were analyzed using manual coding and theming to determine themes and patterns.FindingsThe results produced six themes about factors, including emotional intelligence, which impacted decision-making. They are: (1) remembering the past, (2) communication and respect, (3) spurring economic growth and development, (4) fairness, (5) recognizing and removing emotions and bias and (6) accountability.Research limitations/implicationsBeing a single case study, this research is limited in generalization. The research was limited to the identification of current, real-world experience of elected local government representatives.Practical implicationsThe findings of this research can be used to create more effective decision-making practices for local government organizations of similar size.Originality/valueThis is the first study to review, in-depth, the decision-making and emotional intelligence factors of local government organizations in the United States of America. The conceptual background, discussion, implications to local government organizations, limitations and recommendations for future studies are discussed.


2020 ◽  
pp. 1364-1384
Author(s):  
Wayne P. Webster ◽  
Rick C. Jakeman ◽  
Susan Swayze

This chapter describes how constituencies of a four-year, private liberal arts and science college perceived the effect of philanthropy on the strategic planning process. Due to their reliance upon tuition revenues and private support, liberal arts and science colleges are particularly susceptible to ebbs and flows in the economy. How these institutions plan for the future and the extent to which philanthropy factors into strategic plans provides crucial information about the future of these higher education institutions (Connell, 2006). Gaining a deep understanding of how philanthropy shapes a strategic planning process and the decision-making model that was used during the process provides insight into how philanthropy, strategic planning, and decision-making models intersect to form a new decision-making model, described as feedback and revenue.


2020 ◽  
Vol 10 (3) ◽  
pp. 35
Author(s):  
Zdenek Dytrt ◽  
Radomir Serek

The management theory did not develop equally with the changes in technologies. The consequence of this shortcoming is a prevalence of quantitative management which puts an emphasis on the quantitative values. This represents a risk for the sustainable growth. Therefore, the managerial ethics, which biases qualitative values and attitudes, is important for the managers' decision-making. The effective decision-making process is further based not only on the manager's experience, which may lead to a certain routine, but also on the cooperation among the other departments and educational institutions. Furthermore, the successful innovations, which are often an outcome of the systemic and complex decision-making, require to follow certain rules during their implementation. A person may become an initiator, leader, subject or a consumer of the innovation and should be adequately prepared for all these roles. Despite the abrupt development in the technical areas there is not such progress in the humanities. Education is still more focused on the content and form (thus quantity) rather than on the applications and relations (quality).


2018 ◽  
Vol 29 (3) ◽  
Author(s):  
Ed Cunliff ◽  
Jeff King

The Challenge Finding a sense of authentic self as an institution, a true sense of mission, and the means to live that mission were the central focus of a strategic planning process addressed by the University of Central Oklahoma about fifteen years ago. As the institution grew within a metropolitan-serving mission, the goal to transform students from adolescents to adults and find new potential in their lives led to an exciting journey that is still vibrant and relevant today. Potential Consequences The theoretical base provided within transformative learning has helped students, staff, and faculty align efforts. Description This case study provides replicable processes and specifics that may help others find a clearer path for fulfilling their mission. The study describes how the University of Central Oklahoma’s (UCO’s) transformative learning focus coalesced and became the point of distinction for a UCO education, helping to ensure that all activity supported our mission—helping students learn. Reflection The compelling, lived sense of mission developed from the initial strategic planning process has helped to strengthen the learner-centered culture of the campus while providing a structure that facilitates implementation and assessment.


2019 ◽  
Vol 9 (4) ◽  
pp. 293-302
Author(s):  
Oded Koren ◽  
Carina Antonia Hallin ◽  
Nir Perel ◽  
Dror Bendet

Abstract Big data research has become an important discipline in information systems research. However, the flood of data being generated on the Internet is increasingly unstructured and non-numeric in the form of images and texts. Thus, research indicates that there is an increasing need to develop more efficient algorithms for treating mixed data in big data for effective decision making. In this paper, we apply the classical K-means algorithm to both numeric and categorical attributes in big data platforms. We first present an algorithm that handles the problem of mixed data. We then use big data platforms to implement the algorithm, demonstrating its functionalities by applying the algorithm in a detailed case study. This provides us with a solid basis for performing more targeted profiling for decision making and research using big data. Consequently, the decision makers will be able to treat mixed data, numerical and categorical data, to explain and predict phenomena in the big data ecosystem. Our research includes a detailed end-to-end case study that presents an implementation of the suggested procedure. This demonstrates its capabilities and the advantages that allow it to improve the decision-making process by targeting organizations’ business requirements to a specific cluster[s]/profiles[s] based on the enhancement outcomes.


Sign in / Sign up

Export Citation Format

Share Document