Elliot Goledema, PhD Scholar

23/01/2026

21/01/2026

04/07/2025

CHANGE MANAGEMENT IN ORGANIZATIONS
By: Elliot Goledema.
In my deliberations around change management in institutions,I always endeavor to teach my students about this fundamental theory in the area of change and how it gets to impact organizational performance.
Organizational performance is arrived at when individual and collective actions are positively exhibited without resistance.In all fairness, resistance comes as a result of among many, failure to inculcate the spirit of participation and involvement and effective communication.
Managers who take this route are bound to fail.Others may argue that they may force things to ensure implementation is achieved however the end result is negative outcomes....Goals may not be achieved.Hence,every team member regardless of their role play a crucial stake in so far as overall goal achievement is concerned.
I always reference the Kurt Lewin change process,this is not to say it's the best however it's applicability in modern day business is evident to those that have implemented it.
In light of the above,
Kurt Lewin's Change Process (Three-Stage Model) is a foundational theory in change management and organizational development. It outlines how to successfully implement change in an organization or group. The model consists of three key stages:

1. Unfreeze
This is the preparation stage for change.
Goal: Create awareness of the need for change.
Activities here include:
-Challenging the status quo.
-Identifying existing problems or threats.
-Communicating the benefits of change.
-Reducing resistance by involving stakeholders.
🔑 Key idea: People are naturally resistant to change. Unfreezing helps them let go of old behaviors or mindsets.

2. Change (or Transition)
This is where the actual transformation happens.
Goal: Move from the old way of doing things to the new.
Activities include here includes;
-Implementing new processes, behaviors, or systems.
-Providing training, support, and communication.
-Encouraging experimentation and adaptation.
🔑 Key idea: Change is a process, not an event. It requires time, clarity, and continuous support.
3. Refreeze
This final stage stabilizes the new state.
Goal: Make the new change permanent.
Activities may include:
-Reinforcing new behaviors.
-Embedding change into organizational culture and systems.
-Recognizing and rewarding progress.
-Monitoring for consistency.
🔑 Key idea: Without refreezing, people may revert to old ways. Reinforcement helps solidify the change.
Arising from the above,it is advisable to every manager , leader to be cautious about change.In all fairness,Change is Paramount.Change is a way to do things better.Organizations that don't go through change remain in the past and it is difficult to outwit and outfit competitors,therefore this component is critical in so far as organization performance is concerned.
Therefore, are you leader who goes straight to change/transition without unfreezing?,what action or change theory do you adopt?Is it that change that culminate to better results?

Hello! We’re Better Industries. Creating mission-driven communities, companies, and causes. Alumni.org Beginner.org Board.org (sold) Campaign.org Community.org Discuss.org Disruptor.org Evolucion.org Fixer.org Frontpage.org Great.org Hurry.org Hypothetical.org Interplanetary.org IndependentFilm.or...

10/06/2025

😭😭😭😭😭

06/06/2025

STEM PHD

Pursuing a PhD in fields such as Science, Technology, Engineering, and Mathematics (STEM) can lead to some of the highest paying careers.

The demand for individuals with advanced knowledge in STEM fields is continually increasing. As technology advances and society relies more heavily on scientific research and engineering innovations, employers seek highly skilled professionals to fill specialized roles.

For instance, the technology sector has seen tremendous growth due to the rise of artificial intelligence, data science, and cybersecurity. Companies in the technology sector actively recruit PhD graduates, offering competitive salaries often exceeding six figures. This trend reflects the higher level of expertise required in these roles, justifying the large financial investment businesses make in hiring advanced degree holders.

Additionally, STEM PhD graduates often have the opportunity to work in academia, research institutions, or government roles. Professors and researchers with a PhD can earn substantial salaries, particularly at well-funded universities or research labs.

For example, in some institutions and places, a tenure-track professor in engineering or computer science typically earns a starting salary that can range from $80,000 to over $120,000 per year.

Furthermore, research positions that receive grants can lead to additional benefits and funding, increasing overall compensation.

Another factor contributing to the high salaries associated with STEM PhDs is the nature of the work involved. Many positions require advanced problem-solving skills and a deep understanding of complex theories, making them more valuable to employers.

For instance, in the field of biotechnology, professionals who can develop new medical therapies or improve existing technologies command impressive salaries. The specialized skills and knowledge gained during a PhD program equip graduates to tackle difficult challenges, further elevating their worth in the job market.

Thus, earning a PhD in Science, Technology, Engineering, or Mathematics can lead to rewarding financial opportunities. The increasing demand for skilled professionals in these areas, combined with the high-level expertise required and the nature of the work, results in very competitive salaries.

As society continues to advance technologically, the significance of a PhD in STEM fields is likely to grow, making these degrees a wise investment for future students seeking financial success and professional fulfillment.

20/05/2025

Happy birthday to me!

28/04/2025

ISSUES TO CONSIDER WHEN DEVELOPING A RESEARCH TOPIC

Choosing a good research topic is one of the challenges facing postgraduate students in their research journey. Here are some of the issues to consider when developing a research topic:

*PERSONAL INTEREST: choose a research topic that draws your attention, concern and curiosity to want to know or learn about it. Your research topic should bring direct or indirect benefits to you as an individual and other people.

*TIME: ensure that you have enough time to consciously complete your study within the timeframe given to you the university.

*RESEARCH SKILLS: ensure that you have research skills to operationalise research methods chosen to underpin your research topic. You cannot use, for example, quantitative approach if you do not have quantitative knowledge and skills to implement quantitative research techniques. It is, therefore, important to first acquire knowledge and skills on the research method selected for the study.

*MANAGEABILITY: choose a research topic that will be easy or possible to study. Conventional wisdom holds that a shorter hairstyle is easy to manage; so is a narrow research topic.

*ETHICAL ISSUES: choose a research topic that will allow you to easily get permission to conduct the study and uphold all human rights.

*RESOURCES: a postgraduate student should have a supply of money, materials, people, and other assets that can be drawn on to study the research topic.

*RELEVANCE: a good research topic must be beneficial to the student, science or body of knowledge and the society in general.

*AVAILABILITY OF DATA: choose a research topic that will allow you to easily collect data needed to achieve the aim of the study.

*FEASIBILITY: a good research topic should be easy to study without too much to do or difficulty. There is no need to generate a research topic you are not capable of studying successfully.

27/04/2025

THEMATIC ANALYSIS AND CONTENT ANALYSIS

One of the often asked topics by students is about: 𝘛𝘩𝘦 𝘥𝘪𝘧𝘧𝘦𝘳𝘦𝘯𝘤𝘦 𝘣𝘦𝘵𝘸𝘦𝘦𝘯 𝘛𝘩𝘦𝘮𝘢𝘵𝘪𝘤 𝘈𝘯𝘢𝘭𝘺𝘴𝘪𝘴 𝘢𝘯𝘥 𝘊𝘰𝘯𝘵𝘦𝘯𝘵 𝘈𝘯𝘢𝘭𝘺𝘴𝘪𝘴 𝘪𝘯 𝘳𝘦𝘴𝘦𝘢𝘳𝘤𝘩.

Thematic Analysis focuses on extracting high-level themes from within data, while Content Analysis focuses on the recurrences of concepts or keywords at a more surface-level of analysis, to be exact, their frequency.

To all intents and purposes, the main difference between the two methods lies in the possibility of quantification of data in Content Analysis by measuring the frequency of different categories and themes. While frequency is generally a core tenet of qualitative Content Analysis where statistical findings are tabulated or visualized in the final write-up, it is not a focus of Thematic Analysis.

Instead, in contrast to tallying concepts or keywords to extrapolate meaning as a student would in Content Analysis, a theme is not necessarily reflective of the frequency of its appearance within the data in a Thematic Analysis.

In short, statistical data is core to most Content Analysis but is not typically cited in Thematic Analysis. And while the former tends to focus on more manifest data that is apparent through surface-level analysis, neither method is inherently more beneficial or astute than the other.

Therefore, for clarity purposes, the main differences between Thematic Analysis and Content Analysis are:

(1). Thematic Analysis is a qualitative method used to uncover themes in textual data, while Content Analysis is either a quantitative or a qualitative approach that also involves some quantification of data.

(2) Content Analysis generally counts the occurrence of concepts or keywords to infer meaning, while Thematic Analysis assigns meaning by extracting high-level ideas.

(3) Thematic Analysis focuses on the overarching themes in the data and how those themes relate to one another, while in Content Analysis students count instances of coded concepts and keywords within large amounts of textual data with less focus on comparing or contrasting those codes.

What is important for a student to understand is how each qualitative research method works to confidently decide which one best suits his or her research needs bearing in mind that these methods have a lot of similarities.