Theory Development

2021 ◽  
pp. 14-39
Author(s):  
Davia C. Downey
Keyword(s):  
2017 ◽  
Vol 24 (2) ◽  
pp. 107-115
Author(s):  
Amin Wibowo

Knowledge is created and learned by academicians for the purpose of further theory development. Academician’role in disseminating knowldege is very important. To reach a convergent understanding both theory and practice, it’s a need of flexibility between methodology and sources of data so that it stimulates actionable insight.One of the problems between theory and practice differencesis customers focus.For practicians customer focus raised three foundamentals questions: can the knowledge phylosophy reduce cost?. Can the knowledge phylosophy increse sales?, and can the knowledge phylosophy increase the profit?. This paper discuss the development of marketing knowledge based on the marketing practice to bridge the gap between academicians and practicians. Issues being discussed in this paper are the meaning of marketing knowledge from practician perspective, the theory of marketing in practician’s world, actionable research as the bridge of knowledge development, and the difference perspective between academician and parctician.


Author(s):  
O. S. Gaydukova ◽  
◽  
D. O. Glushkov ◽  
A. G. Nigay ◽  
A. G. Kosintsev ◽  
...  

Recently, prospective direction of the combustion theory development is the preparation of fuel compositions and study of the composite fuels ignition characteristics, for example, in the form of emulsions and suspensions. Such fuels and their combustion processes are characterized by higher environmental, energy, economic, and operational properties. Of great interest is the use of gel fuels prepared by thickening emulsions and suspensions to the state of elastically deformable materials for the aerospace industry and thermal power engineering. Gel fuels have advantages over widespread liquid fuels in environmental and fire safety aspects of storage processes, transportation, and combustion.


Author(s):  
Rani Lill Anjum ◽  
Stephen Mumford

There is a diminishing return to repeated confirmations, since each new instance adds less to the case for a causal theory. In such a situation, experimental failure, unexpected findings, and negative results can be what make for the bigger theoretical breakthroughs. Such results should contribute to theory development and not, as Popper urged, their outright falsification. The failure can show where a theory is to be improved or refined: it is an opportunity for the growth or new knowledge in response to a discrepancy experience. Such a norm is reflected in the non-monotonic reasoning that is useful in thinking about causation.


Author(s):  
Ronald E. Rice ◽  
Simeon J. Yates ◽  
Jordana Blejmar

We conclude the Handbook of Digital Technology and Society by identifying topics that appear in multiple chapters, are more unique to some chapters, and that represent general themes across the material. Each of these is considered separately for the ESRC theme chapters and the non-ESRC chapters. In the ESRC theme chapters, cross-cutting research topics include digital divides and inequalities; data and digital literacy; governance, regulation, and legislation; and the roles and impacts of major platforms. Cross-cutting challenges include methods; theory development, testing, and evaluation; ethics; big data; and multi-platform/holistic studies. Gaps include policy implications, and digital culture. In the non-ESRC chapters, more cross-cutting themes include future research and methods; technology venues; relationships; content and creation; culture and everyday life; theory; and societal effects. More unique, these were digitization of self; managing digital experience; names for the digital/social era; ethics; user groups; civic issues; health, and positive effects. The chapter also shows how the non-ESRC chapters may be clustered together based on their shared themes and subthemes, identifying two general themes of more micro and more macro topics. The identification of both more and less common topics and themes can provide the basis for understanding the landscape of prior research, what areas need to be included in ongoing research, and what research areas might benefit from more attention. The chapter ends with some recommendations for such ongoing and future research in the rich, important, and challenging area of digital technology and society.


Author(s):  
Craig R. Carter ◽  
Marc R. Hatton ◽  
Chao Wu ◽  
Xiangjing Chen

Purpose The purpose of this paper is to update the work of Carter and Easton (2011), by conducting a systematic review of the sustainable supply chain management (SSCM) literature in the primary logistics and supply chain management journals, during the 2010–2018 timeframe. Design/methodology/approach The authors use a systematic literature review (SLR) methodology which follows the methodology employed by Carter and Easton (2011). An evaluation of this methodology, using the Modified AMSTAR criteria, demonstrates a high level of empirical validity. Findings The field of SSCM continues to evolve with changes in substantive focus, theoretical lenses, unit of analysis, methodology and type of analysis. However, there are still abundant future research opportunities, including investigating under-researched topics such as diversity and human rights/working conditions, employing the group as the unit of analysis and better addressing empirical validity and social desirability bias. Research limitations/implications The findings result in prescriptions and a broad agenda to guide future research in the SSCM arena. The final section of the paper provides additional avenues for future research surrounding theory development and decision making. Originality/value This SLR provides a rigorous, methodologically valid review of the continuing evolution of empirical SSCM research over a 28-year time period.


2021 ◽  
pp. 174569162096679
Author(s):  
Ivan Grahek ◽  
Mark Schaller ◽  
Jennifer L. Tackett

Discussions about the replicability of psychological studies have primarily focused on improving research methods and practices, with less attention paid to the role of well-specified theories in facilitating the production of reliable empirical results. The field is currently in need of clearly articulated steps to theory specification and development, particularly regarding frameworks that may generalize across different fields of psychology. Here we focus on two approaches to theory specification and development that are typically associated with distinct research traditions: computational modeling and construct validation. We outline the points of convergence and divergence between them to illuminate the anatomy of a scientific theory in psychology—what a well-specified theory should contain and how it should be interrogated and revised through iterative theory-development processes. We propose how these two approaches can be used in complementary ways to increase the quality of explanations and the precision of predictions offered by psychological theories.


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