Showing posts with label Theory building. Show all posts
Showing posts with label Theory building. Show all posts

Monday, January 31, 2022

Moderating and Mediating Variables

Mediating variable acts as an intermediate variable between independent variable and the criterion variable (dependent variable). Unless the mediating variable is present, the effect between independent variable and criterion variable will be insignificant.

The correlation between the predictor and the mediator variables, and the correlation between the mediator and criterion variables should be significant. The correlation between predictor and criterion should be reduced (to zero in the case of total mediation) after controlling the relation between the mediator and criterion variables.


Moderating variable increases or decreases the effect of an independent variable on the criterion variable (dependent variable).

In analysis of variance (ANOVA), a basic moderator effect can be represented as an interaction between an independent variable and another variable.


http://psych.wisc.edu/henriques/mediator.html

More

https://significantlystatistical.wordpress.com/2014/12/12/confounders-mediators-moderators-and-covariates/ 

https://www.psychologyinaction.org/psychology-in-action-1/2015/02/06/mediating-and-moderating-variables-explained

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2819368/

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4165346/

https://www.frontiersin.org/articles/10.3389/fpsyg.2017.01984/full


Investigation the mediating variable: What is necessary? (case study in management research)
Solimun , Adji Achmad Rinaldo Fernandes 
International Journal of Law and Management
https://www.emerald.com/insight/content/doi/10.1108/IJLMA-09-2016-0077/full/html

The Mediating Role of Perception in the Relationship between 
by Z Akinci · 2018 ·  — As a result of the correlation analysis, a positive relation was identified between the expectation, perception, and satisfaction variables.
https://www.mdpi.com/2071-1050/10/7/2253/pdf


Types of variables in research propositions

http://www.indiana.edu/~educy520/sec5982/week_2/variable_types.pdf  - not working

ud. 2.1.2022
pub. 10.9.2016

Tuesday, December 17, 2019

Grounded Theory Approach


Grounded theory is inductive approach to theory building


Remenyi on Grounded Theory


In business and management  studies established and accepted theories are not many still.   As a result the business and management researcher has opportunity to build new theories. The grounded theory is  a concept developed by Glaser and Strauss(1967). They define it as: ‘ an inductive, theory discovery methodology that allows the researcher to develop a theoretical account of the general features of a topic while simultaneously grounding the account in empirical observations or evidence.’             

The grounded  theory methodology normally relies heavily on the use of in-depth interviews with experts in the field of study for the collection of evidence that will be used in an inductive way to assist in the theory generation.

Theoretical Conjecture

The primary aim of the researcher developing a grounded theory is to describe the phenomena of interest accurately.  The grounded theory emerges through the process of concept discovery, within which the researcher develops abstract concepts and categories from the evidence.   It is important to note that in this approach to research, concepts and theories are regarded simply as more or less useful and not as more or less true or valid.

Once the grounded theory has been developed, the researcher in business and management studies is in a position to  make a theoretical conjecture or thesis, but there is no structured methodology for doing this.  Rather, this aspect of research or scientific study can be regarded as an art that relies almost entirely on the imagination and creative abilities of the researcher.

The researcher develops a theoretical conjecture from the data or evidence, and he or she needs to be able to defend how the concepts and ideas which exist in the literature and which arose from the evidence lead to the theoretical conjecture.

The following is an example of a theoretical conjecture developed through the use of the grounded theory approach for a doctoral dissertation in information systems management (Remenyi,1990a).

Strategic Information Systems (SIS) occur as a result of pressure or opportunities directly related to industry drivers.  The firm’s response to this pressure or opportunity is influenced by its strategy and by its critical success factors (CFS), and these issues determine the formulation of the SIS.  The decision to attempt to take advantage of SIS is made with little attention to detail concerning cost-justification and vendor selection, but with more attention to communicating with the staff, training appropriate people and setting up support facilities.

An important change occurs at this stage of the research.  Whereas the formulation of the research problem began as a description of the known facts from which a narrative theory was developed, this narrative will now be used paradigmatically.  That is to say, it will provide a set of logical conjectures as the basis on which to predict and explain observations. 

Whereas in the physical sciences the theoretical conjecture will frequently be expressed as a formula or as a series of simple propositions, in business and management research the theory or thesis will be presented as a diagram also for the purpose of clarification and presentation.

Hypotheses or Empirical Generalisations

When the new theoretical conjecture or paradigm has been developed the next step is to use it to derive hypotheses or empirical generalisations.  If the theory or thesis has been derived from a review of the literature  then the term hypothesis is more generally used, while if the grounded theory approach was employed then the term empirical generalisation is usually more appropriate. 

Strategic Information Systems occur as a result of pressure or opportunities directly related to industry drivers.

The firm’s response to this pressure or opportunity is influenced by its strategy and by its CSFs and these issues determine the formulation of the SIS.

The decision to attempt to take advantage of SIS is made with little attention to detail concerning cost-justification and supplier selection.

More attention is given to communicating with the staff, training appropriate people and setting up support facilities.

Note that from the theoretical conjecture provided on the previous page, four hypotheses or empirical generalisations were developed.  This is regarded as a reasonable number of empirical generalisations with which to work at a doctoral level.

Some research studies stop at the stage of theoretical conjecture, perhaps having developed some hypotheses or empirical generalisations.  It is argued that at this stage a contribution has already been made to knowledge and this may well be so.  Certainly achieving a theoretical conjecture and producing empirical generalisation would normally be more than adequate for a masters degree and depending on the subject area it might even be enough for a doctorate.

However, if the newly discovered knowledge is to be more widely useful, then it is usually necessary to progress to a further stage in the research in which the new thesis is tested against a larger sample population.  In most circumstances this additional step would be required for a doctorate degree.

Reference: Positivist Approach to Empirical Research - Dan Remenyi - Chapter Summary
https://phd-research-methodology.blogspot.com/2013/06/the-positivist-approach-to-empirical.html

Books


Glaser, Barney G & Strauss, Anselm L., 1967. The Discovery of Grounded Theory: Strategies for Qualitative Research, Chicago, Aldine Publishing Company - Brief Summaries of the chapters
http://faculty.babson.edu/krollag/org_site/craft_articles/glaser_strauss.html


Glaser and Strauss - Grounded Theory - Chapter 2 - Generating Theory - Quotations and Summary

Papers on the Method


Guiding the Use of Grounded Theory in Doctoral Studies – An Example from the Australian Film Industry
International Journal of Doctoral Studies,  Volume 6, 2011

The place of the literature review in grounded theory research
Ciarán Dunne
International Journal of Social Research Methodology
Vol. 14, No. 2, March 2011, 111–124

Thomas, G. & James, D. (2006) ―Re-inventing grounded theory: some questions about theory, ground and discovery‖ British Educational Research Journal, 32, 6, 767–795.
http://eprints.bham.ac.uk/501/2/Thomas_BriEdResJ_2006.pdf

Remodeling Grounded Theory
Barney G. Glaser with the assistance of Judith Holton
Volume 5, No. 2, Art. 4 – May 2004
http://www.qualitative-research.net/index.php/fqs/article/view/607/1315

Conceptualization: On Theory and Theorizing Using Grounded Theory
Barney G. Glaser, PhD, Hon PhD, The Grounded Theory Institute.
International Journal of Qualitative Methods 1 (2) Spring 2002
https://sites.ualberta.ca/~iiqm/backissues/1_2Final/pdf/glaser.pdf



Papers and Dissertations Using Grounded Theory


Leadership under Severe Stress:
A Grounded Theory Study
Gerry Larsson, Ann Johansson, Tina Jansson, Gunilla Grönlund
http://www.au.af.mil/au/awc/awcgate/au-24/larsson2.pdf


Updated on 18 December 2019, 2 September 2013

Saturday, September 10, 2016

Glaser and Strauss - Grounded Theory - Chapter 2 - Generating Theory - Quotations and Summary



From the data based on coding, categories (conceptual categories or concepts) have to identified. From the data only properties of categories are also identified. Then relations among categories are identified. The theory developed that can be expressed as a descriptive note or proposition. Glaser and Strauss prefer descriptive note. They say descriptive note provides an indication that theory needs to be further developed. A proposition indicates finality.   But they stated that from descriptive note, propositions can be created as necessary say for testing purpose.


Quotations

Comparative analysis is a general method, just as are the experimental and statistical methods. (All use the logic of comparison.)


A concept may be generated from one fact, which then becomes merely one of a universe of many possible diverse indicators for, and data on, the concept. These indicators are then sought for the comparative analysis.

In discovering theory, one generates conceptual categories or their properties from evidence; then the evidence from which the category emerged is used to illustrate the concept. The evidence may not necessarily be accurate beyond a doubt (nor is it even in studies concerned only with accuracy), but
the concept is undoubteclly a relevant theoretical abstraction about what is going on in the area studied. Furthermore, the concept itself will not change, while even the most accurate facts change. Concepts only have their meanings respecified at times because other theoretical and research purposes have evolved.

Our goal of generating theory also subsumes this establishing of empirical generalizations, for the generalizations not only help delimit a grounded theory's boundaries of applicability; more important, they help us broaden the theory so that it is more generally applicable and has greater explanatory and
predictive power. By comparing where the facts are similar or different, we can generate properties of categories that increase the categories' generality and explanatory power.

While verifYing is the researcher's principal and vital task for existing theories, we suggest that his main goal in developing new theories is their purposeful systematic generation from the data of social research.

A grounded theory can be used as a fuller test of a logico-deductive theory pertaining to the same area by comparison of both theories than an accurate description used to verify a few propositions would provide. ·whether or not there is a previous speculative theory, discovery gives us a theory
that "fits or works" in a substantive or formal area (though further testing, clarification, or reformulation is still necessary), since the theory has been derived from data, not deduced from
logical assumptions. . .

The sociologist with theoretical generation ·as his major aim need not know the concrete situation better than the people involved in it (an impossible task anyway). His job and his training are to do what these laymen cannot do-generate general categories and their properties for general and specific situations and problems. Thesevcan provide theoretical guides to the layman's action

Grounded theory can be presented either as a wellcodified set of propositions or in a running theoretical discussion, using conceptual categories and their properties.

If necessary for verillcational studies, parts of the theoretical discussion can at any point be rephrased
as a set of propositions. This repht:asing is simply a formal exercise, though, since the concepts are already related in the discussion. Also, with either a propositional or discussional grounded theory, the sociologist can then logically deduce further hypotheses. Indeed, deductions from grounded theory, as it develops, are the method by which the researcher directs his theoretical sampling

Our approach, allowing substantive concepts and hypotheses to emerge first, on their own, enables the analyst to ascertain which, if any, existing formal theory may help him generate his substantive theories. He can then be more faithful to his data, rather than forcing it to fit a theory. He can be
more objective and less theoretically biased. Of course, this also means that he cannot merely apply Parsonian or Mertonian categories at the start, but must wait to see whether they are linked to the emergent substantive theory concerning the issue in focus.

the elements of theory that are generated by comparative analysis are, first, conceptual categories and their conceptual properties; and second, hypotheses or generalized relations among the categories and their properties.

A category stands by itself as a conceptual element of the theory. A property, in turn, is a conceptual aspect or element of a category. We have, then, both categories and their properties.

It must be kept in mind that both categories and properties are concepts indicated by the data (and not the data itself); also that both vary in degree of conceptual abstraction. Once a category or property is conceived, a change in the evidence that indicated it will not necessarily alt~r, clarify or destroy it.
It takes much more evidence-usually from different substantive areas-as well as the creation of a better category to achieve such changes in the original category. In short, conceptual categories
and properties have a life apart from the evidence that gave rise to them.

Lower level categories emerge rather quickly during the early phases of data collection. Higher level,
overridLllg and integrating, conceptualizations-and the properties that elaborate them-tend to come later during the joint collection, coding and analysis of the data.

The comparison of differences and similarities among groups not only generates categories, but also rather speedily generates generalized relations among them. It must be emphasized that these hypotheses have at first the status of suggested, not tested, relations among categories and !heir properties, though they are verified as much as possible in the course of research.

Joint collection, coding, and analysis of data is the underlying operation. The generation of theory,
coupled with the notion of theory as process, requires that all three operations be done together as much as possible. They should blur and intertwine continually, from the beginning of an investigation to its end.


Summary of Glaser, Barney G & Strauss, Anselm L., 1967. The Discovery of Grounded Theory: Strategies for Qualitative Research,
http://faculty.babson.edu/krollag/org_site/craft_articles/glaser_strauss.html

Thursday, April 2, 2015

What is a Research Thesis?




What is a thesis?


A thesis is 'a proposition to be discussed and proved or to be maintained against objections' (Oxford dictionary 2004). The whole thesis needs to be focused around one major idea for which you provide evidence and can defend in discussion with other scholars.

http://resource.unisa.edu.au/mod/book/view.php?id=10112&chapterid=4106

Actual entry in the Concise Oxford Dictionary, 1982

Proposition to be maintained or proved;   Dissertation  esp. by candidate for degree

Saturday, December 27, 2014

Proposition: A Building Block of Theory

The purpose and  categories of propositions are explained well in the article The Proposition: An insight into research  by   B. I. Avan  ( The Human Development Programme, The Aga Khan University, Karachi. )  and F. White  ( Department of Community Health Sciences, The Aga Khan University, Karachi. )
http://www.jpma.org.pk/full_article_text.php?article_id=2499
http://www.jpma.org.pk/PdfDownload/2499.pdf

Each category is given examples. See the above paper for examples. Only the explanations of  types of  propositions are included in this blog post.




Propositions form the basis for scientific research.

Propositions form the premise for the deduction of hypothesis.






A proposition is a statement.

Propositions can be broadly categorised into non-relational and relational propositions.


A concept is a title given to an abstract idea, event or object. These are based on real world experiences and represent a generalised mental picture of characteristics of that phenomenon.

The non-relational proposition is a declarative statement, which serves the purpose of identification of concepts and defining the distinct characteristics of the concept to the required level. The concept can have various facets and a declarative statement can be about any aspect of the concept.


The Existential non-Relational Proposition recognises the presence of a concept

Or it can go one step further by recognising the level or intensity of presence of a concept.


The Definitional proposition is a statement, which describes the characteristics of the concept. A concept can have a multitude of aspects. It is not necessary in research that a concept should be considered in a holistic manner.

Defining a concept aims to state it in a precise nature and give it distinct characteristics. The focus of this effort is to limit the idea of the concept so that it becomes identifiable and calculable. Sometimes it even describes the degree of distinctness so that it can be better differentiated from other concepts.

Any concept when we grade it for measurement purposes is conventionally known as a variable in research terminology.

Definition propositions are not limited to the concepts that are evaluated in the research. They are even extended to the methodology aspect of the research. Well known general methodology concepts, unless some innovation is considered, explicit definitions are usually not given e.g. study designs. But concepts which are specific to the study; are defined explicitly and precisely e.g. study population.

Initially for the theory, definitions of concepts are delineated by a parameter of convention not of verification. It is later in the process of theory development, that steps are taken to measure and study the concepts empirically. The process takes place at two levels.


Nominal definitions are constitutive statements, which are an aspect or aspects of the concept that we are considering for research.


Operational definitions are real statements of measurement-orientated interpretation of concepts. These definitions deal with the practical aspects of research in relation to concepts. They can be further categorised into measured and experimental.

Experimental Operational Definitions’ describe how a nominal concept is manipulated, to make it measurable in the research process, in a manner devised by the researcher.



Measured operational Definitions state how a nominal proposition can be measured in a standardised conventional manner.


Sometimes it becomes more meaningful to combine various measurements, as relying on only one type of measurement could not effectively capture the required scope of the concept. Therefore an index is formed. The indices are usually a combination of the measurement,

Example: - Human Development index (HDI) of a country.

Empirical Indicators are the next logical step of operational definitions. To increase the utility of the indices, indicators are constructed upon them. A cut off value is decided conventionally among the range of values of an index. The ones that have achieved above that cut off value constitute one category and those below are also labelled as another category.







The Relational Proposition is a declarative statement that serves the purpose for identification of association between concepts and defining distinctive characteristics to a required level.

The Existential Relational Proposition is a declaration that the association between the two concepts is a repetitious association and is not a solitary, onetime phenomenon.



Nature of Relational Proposition

The Correlation Proposition states the covariation between related concepts. The direction and degree of change are specific for each association.
The Positively correlated Proposition states that if one-concept changes, the other concept would also change in the same direction.

The Negatively correlated Proposition states that if one-concept changes, the other concept also changes inversely or indirectly.

The Symmetrical Relational Proposition
(ambivalent) states that two concepts have a reversible relationship. i. c. if a change occurs in one concept, then the other concept will also change, and vice versa. (Two way causality)

The Non-Symmetrical Relational Proposition states that two concepts have a non-reversible relationship i.e., if change occur in one concept then other concept will change also but not vice versa. (One way causality)



Order of Relational Proposition states that either the concepts exist simultaneously or they are following one another. Propositions are usually assessed over a period of time.

The Concurrent Relational Proposition recognises the existence of  two concepts together but is not sure of their time order and both concepts are observable simultaneously. Usually such propositions are found in case series, cross sectional studies etc.


The Sequential Relational Proposition goes one step further in identifying. the following concept. In other words in a relation, the preceding and proceeding concepts are identified. Usually such propositions are found in longitudinal studies.



The Magnitude of effect proposition states what proportion people, exposed to a preceding concept, develop a sequential or proceeding concept or vice versa. There are specific measures for the magnitude of effect according to the study methodology applied for data collection.



The Stochastic Relational Proposition states that there is an element of probability or chance in the occurrence of a specified relationship between the concepts.




The Causality of Relational Proposition introduces the idea of a relationship between input and outcome concepts. Causality can be viewed in a number of ways in the relational propositions, i.e. necessary, sufficient, substitutive and contingency.


The Necessary Relational Proposition states that if and only if an input concept is present then the outcome concept will occur, or it is not possible for outcome concept to occur without the first occurrence of specific input concept.



The Sufficient Relational Proposition of causality states that an input concept alone is enough to cause outcome concept to occur.


The Substitutive Relational Proposition of causality states that from a certain group of specified input concepts, if any one is present the outcome concept will occur.



The Regulatory Relational Proposition of causality states that the relationship between the input and outcome concept is contingent upon or influenced by the presence of a third concept.


In causal propositions, the intervening concept could be an intermediary step of input concept producing an outcome.


In such cases, the state of contingency is being decided by what we have decided as our limit or outcome in a process. Furthermore, different contingency concepts are identified as research methods become more advanced, or instruments become more sophisticated. Another variant of regulatory proposition is when the intervening concept is not an actual part of the relationship between concepts but acts as an extraneous factor which could influence the magnitude of effect of association between the relational concepts. This extraneous factor is also known as confounding.



The proposition justifies a concept in terms of its existence, explanation and relationship with other concepts.


Many scientific papers do not spell out propositions clearly - It needs to be emphasized. 


One of the main objectives of scientific literature review is to identify the propositions presented in the reports. Unfortunately, they are not obvious mostly. Instead of formally stating, the writer of a scientific report assumes that the readers background knowledge and intellect is enough to allow him comprehend the implicit notions of propositions. Sometimes it requires several readings by the reviewer before all potential propositions are identified. A clear and simple categorical statement of non-relational and relational propositions in a scientific report not only enhances the quality of a paper by providing better comprehension, but also minimises the ambiguities and misinterpretations.
Another advantage of a better understanding of the dynamics of propositions is that. right from the beginning, a researcher becomes more focussed and develops a niche for the theoretical precision that he wants, and how to measure that. This helps in specifying the methods of measurement, but also formulating the study goals, objectives, hypotheses and research questions.




Friday, November 28, 2014

Theory Building in Applied Disciplines - 2013 Book - Richard A. Swanson, Thomas J. Chermack - Book Information

Theory Building in Applied Disciplines


Richard A. Swanson, Thomas J. Chermack
Berrett-Koehler Publishers, 05-Aug-2013 -  240 pages


A Comprehensive Method, Tools, and Techniques for Building Sound Theory Richard Swanson and Thomas Chermack present a complete five-step approach for developing sound theory in applied disciplines, from conceptualizing a theory to creating relevant assessment criteria, establishing a research agenda to test the theory’s validity, applying the theoretical concepts in the real world, and using that experience to further refine and improve the theory. The method is not restricted to any single discipline, nor is it limited by any research ideology. The authors provide a set of tools for each phase of the process, making this book accessible to a wide audience. And in addition to examples in each chapter, they offer two extended case examples of full theory building.

http://books.google.co.in/books?id=mPP2UVTRse4C



Theory Building - Robert Dubin -1969-1978 Book Information

Thursday, September 11, 2014

Theory Building - Robert Dubin -1969-1978 Book Information



1969 is the first edition and 1978 is the second edition of the book published by Free Press, New York and Collier-Macmillan Limited, London.

Dubin,s was summarized in a chapter in a Sage publication by Susan A. Lynham in a book of 2002. The chapter is available as a free download from Sage's website on 11 September 2014.
http://adh.sagepub.com/content/4/3/242.full.pdf


The theory development side of the Theory-Research Cycle

1. Units
2. Laws of interaction
3. Boundaries
4. System States
5. Propositions

The above  five steps result in an informed, conceptual framework of the theory. Propositions are the output of the first part.

Part Two:
The research operation side of the Theory-Research Cycle
5. Propositions
6. Empirical indicators of key terms
7. Hypotheses
8. Testing

The above four steps result in an empirically verified, and trustworthy theory. Propositions are the starting point of empirical testing of the theory. Rejecting or not rejecting the theory and accepting it as a useful one to use in practice is the outcome of the second part.



Theory Building in Applied Disciplines - 2013 Book - Richard A. Swanson, Thomas J. Chermack - Book Information


Note: The first edition is in Nitie library   Acq.No. 9424, 001.42/DUB

Wednesday, June 4, 2014

Theory Building - Course Page



Grounded Theory - A Methodology for Generating Theory


Glaser and Strauss - Grounded Theory - Chapter 2 - Generating Theory - Quotations and Summary


Theory Building Course Page


http://badm.au.dk/uddannelse/badm-phd-courses/badm-phd-courses-2013/theroleoftheoryinbusinessresearch/



Suggested Reading:

Andersen, P.H.; Kragh, H. (2010) Sense and Sensibility: Two approaches for using existing theory in theory-building qualitative research, Industrial Marketing Management, 39, 49-55.

Anderson, Paul F. (1983) Marketing, Scientific Progress, and Scientific Method, Journal of Marketing, Vol. 47, No. 4, pp. 18-31

Argyris, Chris (1991) Teaching Smart People How to Learn, Harvard Business Review, 99-109, May-June.

Astley, W.G. and Van de Ven, A.H. (1983) Central Perspectives and Debates in Organization Theory. Administrative Science Quarterly, Vol. 28, June, pp. 245-273.

Bacharach, S. (1989) Organizational theories: Some criteria for evaluation, AMR 14: 496-515.

Booth, W.C., Colomb, G.C., Williams, J.M. (1995) 2nd edition, The Craft of Research. Chicago, Ill.: The University of Chicago Press

Colquitt, Jason A. & Zapata-Phelan, Cindy P. (2007) Trends in Theory Building and Theory Testing: A Five-Decade Study of the Academy of Management Journal, Academy of Management Journal, 50: 1281-1303

Corley Kevin G. & Dennis A. G. (2011) Building Theory About Theory Building: What Constitutes a Theoretical Contribution? Academy of Management Review, 36: 12-32

Davis, M. (1971) That’s interesting! Philosophy of the Social Sciences, 1: 309-344.

Eisenhardt, K. (1989) Building theories from case study research, Academy of Management Review, 14(4): 532-550.

Ghoshal, S. (2005) Bad management theories are destroying good management practices, AMLE, 4(1): 75-91.

Grunert, K.G., Shepherd, R., Traill, W.B. & Wold, B. (forthcoming) Food choice, energy balance and its determinants: Views of human behaviour in economics and Psychology, Trends in Food Science & Technology

Huber, G.P. (2010) “Organizations: Theory, Design, Future.” APA Handbook of Industrial and Organizational Psychology

Hunt, Shelby D. & Morgan, R.M. (1996) The Resource-Advantage Theory of Competition: Dynamics, Path Dependencies, and Evolutionary Dimensions, Journal of Marketing, Vol. 60, No. 4, pp. 107-114.

Langley, A. (1999) Strategies for theorizing from process data, Academy of Management Review, 24(4): 691-710.

Lewis, M & Grimes, A. (1999) Metatriangulation: Building theory from multiple paradigms, Academy of Management Review, 24: 672-690.

Locke, K.; Golden-Biddle, K. (1997) Constructing opportunities for contribution: structuring intertextual coherence and 'problematizing' in organizational studies, AMJ, 40(5), 1023-1062.

March (1991) “Exploration and Exploitation in Organizational Learning”, Organization Science, Vol. 1, No. 1; pp. 71-87.

McGrath, J.E.; Brinberg D. (1983) External Validity and the Research Process: A Comment on the Calder/Lynch Dialogue, The Journal of Consumer Research, 10(1), 115-124.

Oswick, C., Fleming, P. & Hanlon, G. (2011) From borrowing to blending: Rethinking the processes of organizational theory building, Academy of Management Review, 36: 318-337.

Oxley, J. E., Rivkin, J. W., and Ryall, M. D. (2010). The strategy research initiative: Recognizing and encouraging high-quality research in strategy, Strategic Organization, 8(4): 377-386.

Rindova, V. (2008). Publishing theory when you are new to the game, Academy of Management Review, 33: 300-303.

Smith, K. & Hitt, M. (2005) Epilogue: Learning to develop theory from the masters, Great Minds in Management: The Process of Theory Development, Oxford University Press, pp. 572-589.

Suddaby, R. (2006) What Grounded Theory Is Not, Academy of Management Journal, 49, 4, 633-642.

Sutton, Robert I. & Staw, B.M. (1995) What theory is not, Administrative Science Quarterly, 40: 371-385.

Weick, K.E. (1989) Theory construction as disciplined imagination, AMR, 14(4), 516–531.

Whetten, David A. (1989) What constitutes a theoretical contribution? Academy of Management Review, 14: 490-495.

Whetten, D., Felin, T. & King, B. (2009) The practice of theory borrowing in organizational studies: Current issues and future directions, Journal of Management, 35: 537-563.


Theory Development and Testing in Organization-Related Empirical Research

Spring 2007, Prof Mason A. Carpenter
http://cmsdev.aom.org/uploadedFiles/Publications/AMR/CarpenterUWisconsin.pdf

Tuesday, June 3, 2014

Theory Building - Resources



http://aom.org/Publications/AMR/Theory-Building-Resources.aspx




AMR Best Articles

Allan Afuah, and Christopher L. Tucci
Crowdsourcing As a Solution to Distant Search
AMR 2012 37:355-375; doi:10.5465/amr.2010.0146
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Sim B. Sitkin, Kelly E. See, C. Chet Miller, Michael W. Lawless, and Andrew M. Carton
The Paradox of Stretch Goals: Organizations in Pursuit of the Seemingly Impossible
AMR 2011 36:544-566;
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Charalampos Mainemelis
Stealing Fire: Creative Deviance in the Evolution of New Ideas
AMR 2010 35:558-578;
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Richard Makadok, and Russell Coff
Both Market and Hierarchy: An Incentive-System Theory of Hybrid Governance Forms
AMR 2009 34:297-319; doi:10.5465/AMR.2009.36982628
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Julian Birkinshaw, Gary Hamel, and Michael J. Mol
Management Innovation
AMR 2008 33:825-845; doi:10.5465/AMR.2008.34421969
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Exploring Intuition and its Role in Managerial Decision Making
AMR 2007 32:33-54; doi:10.5465/AMR.2007.23463682
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Elizabeth George, Prithviraj Chattopadhyay, Sim B. Sitkin, and Jeff Barden
Cognitive Underpinnings of Institutional Persistence and Change: A Framing Perspective
AMR 2006 31:347-365; doi:10.5465/AMR.2006.20208685
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Fabrizio Ferraro, Jeffrey Pfeffer, and Robert I. Sutton
Economics Language and Assumptions: How Theories can Become Self-Fulfilling
AMR 2005 30:8-24; doi:10.5465/AMR.2005.15281412
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Nicole Woolsey Biggart, and Rick Delbridge
Systems of Exchange
AMR 2004 29:28-49; doi:10.5465/AMR.2004.11851707
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Mary J. Benner, and Michael L. Tushman
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http://amr.aom.org/cgi/collection/amr_article_winners_collect

Inventing a New Theory of Nature - Constraints

Inventing a new theory of nature requires, as Feynman [1] said, ‘imagination in a terrible strait–jacket’. Unlike the artist who need not obey constraints, as scientists we are not free to imagine whatever we want—the new theory must obey a ‘correspondence principle’. It must, obviously, give different predictions from those of the old theory for some phenomena, but at the same time it must agree with the old theory in all the places in which the old theory was already experimentally verified. For all those experiments the new theory must give numerical results that are very similar to those of the old theory; the only acceptable difference must be smaller than the precision of the measurements that seemed to confirm the old theory.


Insofar as the numerical predictions of a theory are concerned, the correspondence principle is fairly obvious and straightforward. However, theories are not only mathematical devices for making numerical predictions—they contain concepts that tell us a story of what the nature of physical reality is and, as Feynman also noted, even in situations when the numerical predictions of two theories are almost identical, the concepts they involve may be completely different. Indeed, it is a fundamental conceptual difference between, say, mass being an absolute constant or mass changing with the speed even when the speed is so low that the change of mass is negligible.

The Classical Limit of Quantum Optics: Not what it seems at first sight
2013

Sunday, June 2, 2013

The Positivist Approach to Empirical Research - Dan Remenyi - Chapter Summary

The Central Role of Observation

The essence of modern ‘knowledge is that it is derived from observations made on the world.  All our research derives from, and ultimately refers back, directly or indirectly to our observations, our experiences and our measurements.  Things that cannot be observed either directly or indirectly through their effects of consequences are generally regarded as being outside the domain of science and thus not amenable to research.

There are several ways in which observations can be made of the world around us, including passive observations, observations of the consequences of uncontrolled interventions, or observations of the results of deliberate interventions.  These three types of observation are not mutually exclusive and a single research project could include any or all of these approaches.

Passive Observation is the method most frequently used in business and management research when the researcher is unable to conduct an experiment and has to rely on evidence that already exists.  The researcher collects evidence in the form of interviews, written reports, questionnaires, artefacts and so on.

2.   Uncontrolled Intervention   involves observing the effect of a major change in a driving variable  on one or more dependent variables.

3. Observation of Deliberate Intervention also involves observing the effect of a major change in a driving variable on one or more dependent variables, but in this case the researcher deliberately brings about the change in the driving variable.

Combinations of Approaches

In a research project it is possible to employ more than one of the above three approaches.  This is especially true in business and management studies at the doctoral level where the researcher might begin with a study based on passive observation, follow this by studying the effects of an uncontrolled intervention, and then try a deliberate intervention to see if it confirms the deductions made from the earlier studies.

Literature Review

Once the literature has been fully and critically reviewed, the researcher should be able to provide a narrative description of the current understanding in the field of study, including at least one area where there is incomplete knowledge which could be further investigated.

Assessment of the Established Theory

There are agreed facts and established (if sometimes conflicting) theories, and the researcher may have deduced a new theory by analysing and then sythesising ideas and concepts, already present in the literature of the discipline.

In business and management  studies established and accepted theories are unlikely to be available.  There is little grand theory and few, if any, authors who have developed seminal theories of the kind offered by Freud, Marx or Keynes.  As a result the business and management researcher needs to generate a grounded theory, a concept developed by Glaser and Strauss(1967), which they define as: ‘ an inductive, theory discovery methodology that allows the researcher to develop a theoretical account of the general features of a topic while simultaneously grounding the account in empirical observations or evidence.’              

The grounded  theory methodology normally relies heavily on the use of in-depth interviews with experts in the field of study for the collection of evidence that will be used in an inductive way to assist in the theory generation.

Theoretical Conjecture

The primary aim of the researcher developing a grounded theory is to describe the phenomena of interest accurately.  The grounded theory emerges through the process of concept discovery, within which the researcher develops abstract concepts and categories from the evidence.   It is important to note that in this approach to research, concepts and theories are regarded simply as more or less useful and not as more or less true or valid.

Once the grounded theory has been developed, the researcher in business and management studies is in a position to  make a theoretical conjecture or thesis, but there is no structured methodology for doing this.  Rather, this aspect of research or scientific study can be regarded as an art that relies almost entirely on the imagination and creative abilities of the researcher.

It is not acceptable for the researcher completely to invent a theoretical conjecture, and he or she needs to be able to defend how the concepts and ideas which exist in the literature and which arose from the evidence lead to the theoretical conjecture.

The following is an example of a theoretical conjecture developed through the use of the grounded theory approach for a doctoral dissertation in information systems management(Remenyi,1990a).

Strategic Information Systems (SIS) occur as a result of pressure or opportunities directly related to industry drivers.  The firm’s response to this pressure or opportunity is influenced by its strategy and by its critical success factors (CFS), and these issues determine the formulation of the SIS.  The decision to attempt to take advantage of SIS is made with little attention to detail concerning cost-justification and vendor selection, but with more attention to communicating with the staff, training appropriate people and setting up support facilities.

An important change occurs at this stage of the research.  Whereas the formulation of the research problem began as a description of the known facts from which a narrative theory was developed, this narrative will now be used paradigmatically.  That is to say, it will provide a set of logical conjectures as the basis on which to predict and explain observations.  

Whereas in the physical sciences the theoretical conjecture will frequently be expressed as a formula or as a series of simple propositions, in business and management research the theory or thesis will often be reduced to a diagram for the purpose of clarification

Hypotheses or Empirical Generalisations

When the new theoretical conjecture or paradigm has been developed the next step is to use it to derive hypotheses or empirical generalisations.  If the theory or thesis has been derived from a review of the literature without recourse to grounded theory then the term hypothesis is more generally used, while if the grounded theory approach was employed then the term empirical generalisation is usually more appropriate.  

Strategic Information Systems occur as a result of pressure or opportunities directly related to industry drivers.
The firm’s response to this pressure or opportunity is influenced by its strategy and by its CSFs and these issues determine the formulation of the SIS.

The decision to attempt to take advantage of SIS is made with little attention to detail concerning cost-justification and supplier selection.

More attention is given to communicating with the staff, training appropriate people and setting up support facilities.

Note that from the theoretical conjecture provided on the previous page, four hypotheses or empirical generalisations were developed.  This is regarded as a reasonable number of empirical generalisations with which to work at a doctoral level.

Some research studies stop at the stage of theoretical conjecture, perhaps having developed some hypotheses or empirical generalisations.  It is argued that at this stage a contribution has already been made to knowledge and this may well be so.  Certainly achieving a theoretical conjecture and producing empirical generalisation would normally be more than adequate for a masters degree and depending on the subject area it might even be enough for a doctorate.

However, if the newly discovered knowledge is to be more widely useful, then it is usually necessary to progress to a further stage in the research in which the new thesis is tested against a larger sample population.  In most circumstances this additional step would be required for a doctorate degree.

Measuring Instrument
In business and management studies the collection of evidence for the purposes of testing empirical generalisations frequently, although not by any means always, requires the preparation of a questionnaire which is sometimes referred to as a measuring instrument (Oppenheim,1966).  The researcher needs to ensure that the questionnaire is unambiguous, reliable and valid for the purpose for which it is to be used.

Testing and Analysis
To establish super-variables that simplify the interpretation of the evidence.

Confirmation and Refinement of  Theory
Testing and analysing the evidence may lead the researcher to confirm or reject the theoretical conjecture or to develop a fuller or more refined theory.
In addition, provided that the sample was representative of the broader population and the measuring instrument was valid and reliable, it should be possible, at least to some extent to generalise the theory.

Research is almost always too complex for each step to follow from the previous step in the planned or desired way the first time it is attempted, and sometimes a problem that arises in one step will only become apparent when a later step is in progress.  Thus the researcher may have to retrace his or her steps several time during a major project such as a doctorate degree.

Uncontrolled Interventions
The second research category or approach referred to as uncontrolled intervention arises as a result of a change that has been brought about by an agency external to and independent of the researcher.  This approach to research comes close to what could be regarded as a field experiment.

Literature Review
In this case however, the literature review might be used to identify and consider likely events which could be regarded as uncontrolled interventions and which thus could provide the focus for the research.

Evidence Collection Design
Evidence needs to be collected relating to the situation both before and after the uncontrolled intervention and, where possible, for a control group that is unaffected by the intervention.

Primary and Control Evidence
The use of control evidence is typical of an experimental design that will be discussed below under research based on deliberate interventions.

Testing and Analysis
However univariate stastistical analysis is more likely to be the central analytical tool in the case of this category of research.

Confirmation and Refined Theory
Thus this approach is much more focused in the type of research problem or question than research based on passive observation.

Deliberate Intervention
There are circumstances where some degree of experimentation in an organisation is possible and the controlled introduction of a computer system to a part of the firm on a trial basis might be just such an example.

Experimental Design
The design of experiments is an extensive and involved topic of considerable importance to the researcher.  The key issues involved are:
the form that the intervention will take.
What evidence will be collected before, during and after the intervention;
What sort of control group(s) is required;
How a sample may be chosen to represent the whole population;
Who will make up the experimental team;
Who in the organisation will provide the interface for the purposes of evidence collection.


Measuring the variables Ex-Ante
If an organisation is to be studied by way of an experiment, the first stage is to collect evidence concerning the performance of the organisation before the deliberate intervention occurs.  This evidence might be based on accounting or statical data or on opinion surveys.  This is the base evidence that will be compared to the corresponding evidence after the intervention has been completed.

If, as is desirable, there is a separate control group to which the intervention is not applied, the evidence for the control group should clearly be collected at the same time as the evidence for the intervention group.  The importance of a control group, which should match the intervention group in all of the relevant parameters, is that if the change is not in fact due to the intervention, it should be observed in the control group.  Conversely, it it is due to the intervention it should not be observed in the control group.

Testing and Analysis
It is worth pointing out that in this context modelling refers to the creation of simplified abstractions of reality which capture the critical or key features of the situation.

Relationship Between the three Categories
Passive observation is the most general category.  Here there may not be a prior theory and therefore the researcher may have to develop a grounded theory by induction from a priori observations.  The development of theories of gravitation, from Keppler through to Newton and eventually Einstein represents the most important example of this in the natural sciences.

These approaches are attempts to create knowledge in such a way that theory may be developed with some sort of predictive power.  Category one research actually has holistic undertones, while categories two and three are clearly reductionistic.



Saturday, June 1, 2013

Grounded Theory Approach - Videos


The Creation of Theory:A Recent Application of the Grounded Theory Method 
by Naresh R. Pandit
The Qualitative Report, Volume 2, Number 4, December, 1996
(http://www.nova.edu/ssss/QR/QR2-4/pandit.html)
Pandit's Ph.d thesis used grounded theory method to develop theory on corporate turnaround.


Prof Tony Bryant

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http://www.youtube.com/watch?v=fmWKf5L0mfA
Video uploaded by Leeds Metropolitan University






Discovering Theory of Organizational Indifference: A Grounded
Theory Strategy
European Journal of Scientific Research
ISSN 1450-216X Vol.40 No.3 (2010), pp.450-460
http://www.eurojournals.com/ejsr_40_3_13.pdf

Phd Thesis

The Effects of Organizational Culture on Marketing Programs: Grounded Theory Approach
University St. Thomas, Minnesota, 2011
http://ir.stthomas.edu/cgi/viewcontent.cgi?article=1002&context=caps_ed_orgdev_docdiss



A good explanatory paper on grounded theory with good case examples
George Allan, The Use of Grounded Theory as a Research Method - Warts and All
Second paper in European Conference on Research Methodology in Business and Management, 2003
Google Book Link with Preview facility
http://books.google.co.in/books?id=ln-dxm6xxFAC

Knol 4808