Inductive reasoning: The promise of big data

McAbee, Samuel T.; Landis, Ronald S.; Burke, Maura I.

doi:10.1016/j.hrmr.2016.08.005

Cited by 104 publications

(91 citation statements)

References 77 publications

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“…In order for the organizational sciences to maintain the highest level of integrity and forward progress, we need a better balance of induction, abduction, and deduction (McAbee et al 2017). Induction can provide the raw inputs into the scientific effort by providing a base of data that is the foundation of any science.…”

Section: Final Thoughtsmentioning

confidence: 99%

The Lost Art of Discovery: The Case for Inductive Methods in Occupational Health Science and the Broader Organizational Sciences

Spector

2017

Occup Health Sci

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This paper makes a case for the necessity of inductive and abductive approaches to research in occupational health science and the broader organizational sciences. Three forms of scientific inference are described: induction (exploratory research that generalizes from observations), abduction (deriving explanations for observations), and deduction (confirmatory research that tests theory-derived hypotheses). It is argued that the current deductive exclusiveness in the major journals of many fields has created unintended challenges to research integrity of confirmation bias, phacking, HARKing, and the chrysalis effect. Recommendations are given for writing and reviewing research papers that adopt an inductive and/or abductive approach.Keywords Abduction . Exploratory research . Inductive research . Philosophyofscience . Research integrity . Research methods Discovery can be considered the most important aspect of scientific progress, both for the field and individual scientists. Famous scientists are generally known mostly for what they discovered, such as Einstein for relativity, Fleming for penicillin, and Newton for mechanics of motion. Although these examples are from the physical sciences, social and organizational sciences have discoveries too, for example, that goals improve performance (E. A. Locke and Latham 1990), or that introducing new work technologies can be disruptive and stressful (Trist and Bamforth 1951). These discoveries add to the knowledge base of the field, help direct future research, and are often the basis for evidence-based intervention in the field. Yet despite the fact that discovery is vitally important in science, for more than two decades, the organizational sciences have rejected discovery, considering it somehow inferior and unimportant as

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Section: Final Thoughtsmentioning

confidence: 99%

The Lost Art of Discovery: The Case for Inductive Methods in Occupational Health Science and the Broader Organizational Sciences

Spector

2017

Occup Health Sci

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“…Therefore, methodological issues such as source reliability are more relevant than ever [5], [28]. Specifically, data collected through digital channels only represent some of the more active users, and in the best-case scenario, only those with access to information and communication technologies (ICT), whose penetration rate in Latin America and the Caribbean is far below 100 percent [61].…”

Section: Data Analysis Methodologies and Technologiesmentioning

confidence: 99%

“…The term "big data" originated in the field of computer science, and typically refers to datasets whose sizes exceed the processing capacity of standard software and hardware available for data capture, storage, and analysis [1], [5], [11]- [15]. Initially, multiple authors used the so-called "Three Vs" to characterize what big data is.…”

Section: Big Data: How It Has Been Defined Until Nowmentioning

confidence: 99%

“…Initially, multiple authors used the so-called "Three Vs" to characterize what big data is. As shown in [5], [16]- [20], the "Three Vs" stand for:…”

Section: Big Data: How It Has Been Defined Until Nowmentioning

confidence: 99%

“…The emergence of this trend has enabled the development of a series of technologies and expertise that depend on storage and computing capacities [5]. Big data can have positive impacts on many sectors, from retail and manufacturing to health and public administration [1].…”

Section: Introductionmentioning

confidence: 99%

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This exploratory study examines the importance of firm‐supply chain relationships for tourism development. Based upon prior observations, two firms seeking to boost their tourism offerings and operating in a popular Vietnamese tourist destination were selected. Semi‐structured face‐to‐face and online interviews were conducted and complemented by on‐site visits, and firm information. Various salient dimensions emerged from the data analysis. The ‘performance catalyst’ and ‘detectable value adding’ dimensions underscore the supply chain's benefits, while the ‘discerning relations’ dimension highlights deeper relationships through mutual support, building trust, or demonstrating care. Conceptually, the study proposes a framework with associated theoretical and practical implications.

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Inductive reasoning: The promise of big data

Cited by 104 publications

References 77 publications

The Lost Art of Discovery: The Case for Inductive Methods in Occupational Health Science and the Broader Organizational Sciences

The Lost Art of Discovery: The Case for Inductive Methods in Occupational Health Science and the Broader Organizational Sciences

El uso de datos masivos y sus técnicas analíticas para el diseño e implementación de políticas públicas en Latinoamérica y el Caribe

The nexus between firm‐supply‐chain relationships and the potential for tourism development: A case study approach

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