scholarly journals Towards a neo-configurational theory of intrinsic motivation

2021 ◽  
Author(s):  
Martyna Daria Swiatczak
Keyword(s):  
Intrinsic Motivation ◽  
Chain Structure ◽  
Causal Chain ◽  
Public Utility ◽  
Empowerment Theory ◽  
Causal Factors ◽  
Theoretical Perspectives ◽  
Configurational Theory ◽  
Perceived Impact ◽  
Perceived Challenge

AbstractThis research seeks to improve our understanding of how intrinsic motivation is instantiated. Three motivation theories, flow theory, self-determination theory, and empowerment theory, have informed our understanding of the foundations of intrinsic motivation at work. Taken jointly, they suggest six causal factors for intrinsic motivation: (1) perceived competence, (2) perceived challenge, (3) perceived autonomy, (4) perceived impact, (5) perceived social relatedness, and (6) perceived meaningfulness. Integrating different theoretical perspectives, I employ a case-based configurational approach and conduct coincidence analyses on survey data from a German public utility to analyse the nuanced interplay of these six causal factors for intrinsic motivation. My data show that high perceived meaningfulness or high perceived autonomy is sufficient for high perceived intrinsic motivation and at least one of the two conditions must be present. Further, my findings reveal a common cause structure in which perceived impact is not a causal factor for intrinsic motivation but an additional outcome factor. Subsequent analyses shed light on possible roles of the remaining proposed causal factors by drawing a tentative causal chain structure. The results of this study enhance our understanding of the causal complexity underlying the formation of intrinsic motivation.

Research to Determine the Frequency and Cause of Injury Accidents in Underground Mining

1987 ◽  
Vol 31 (8) ◽  
pp. 926-930
Author(s):  
Brian E. Shaw ◽  
Mark S. Sanders
Keyword(s):  
Human Error ◽  
Systems Approach ◽  
Underground Mining ◽  
Causal Chain ◽  
Causal Factors ◽  
Relative Contribution ◽  
Accident Case

A systems approach was used to investigate 188 underground mining accidents. A team of raters assessed the relative contribution of 10 causal factors in each accident case. The results illustrate the importance of human error and management in the causal chain of accidents.

What Can Gamification Learn From Sensory Marketing?

2020 ◽  
pp. 52-85
Author(s):  
Miralem Helmefalk
Keyword(s):  
Behavioral Outcomes ◽  
Interaction Effects ◽  
Causal Chain ◽  
Future Research ◽  
Sensory Marketing ◽  
Game Mechanics ◽  
Theoretical Perspectives ◽  
Similarities And Differences ◽  
Shed Light

While gamification research is multidisciplinary and has grown in popularity during the last decade, it still requires further evidence and direction on which and how much various game mechanics impact on cognitive, emotional, and behavioral outcomes in digital and physical servicescape contexts. To shed light on this problem, a novel perspective on sensory marketing and gamification was chosen. This chapter has discussed and analyzed the similarities and differences between sensory marketing and gamification, as well as what theoretical perspectives and practices gamification can borrow from sensory marketing. Six issues have surfaced that require more research on this matter: (1) The interaction effects, (2) Weight and impact, (3) Congruency, (4) Complexity, (5) (sub)Conscious/(non)visible elements, and (6) The causal chain. This chapter explains and discusses these issues and offers future research avenues.

Relationships between Perceived Learning Environment and Intrinsic Motivation in Middle School Physical Education

1996 ◽  
Vol 15 (3) ◽  
pp. 369-383 ◽  
Author(s):  
Stephen A. Mitchell
Keyword(s):  
Middle School ◽  
Physical Education ◽  
Middle School Students ◽  
Learning Environment ◽  
Intrinsic Motivation ◽  
Student Perceptions ◽  
Perceived Control ◽  
Perceived Threat ◽  
School Students ◽  
Perceived Challenge

In this article, a study focusing on the perceptions and motivations of middle school students in physical education classes is described. The Physical Education Learning Environment Scale (PELES) was developed to measure student perceptions of learning environment, or class climate, in physical education on dimensions of perceived challenge, perceived threat to sense of self, perceived competitiveness, and perceived control. The PELES was administered, together with the Intrinsic Motivation Inventory (IMI) to a sample (N = 622) of middle school students. Exploratory factor analyses provided evidence of adequate construct validity for the PELES, following elimination of the perceived control subscale. Multiple regression analyses indicated that perceived threat and perceived challenge predicted intrinsic motivation for both males and females. These findings are discussed in terms of their implications for practicing teachers and for future research.

Educator and dairy farmer: the psychological empowerment of entrepreneur V.G. Jayakrishnan

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sridevi Shivarajan
Keyword(s):  
Transformational Leadership ◽  
Intrinsic Motivation ◽  
Organizational Behavior ◽  
Theoretical Basis ◽  
Psychological Empowerment ◽  
State Of The Art ◽  
Dairy Farm ◽  
Empowerment Theory ◽  
Content Type ◽  
Set Up

Theoretical basis The psychological empowerment theory of intrinsic motivation is the primary theoretical basis for the case. Other theories discussed include personality theories and transformational leadership theory. Research methodology This is a field-researched case, based on face to face interviews with V.G. Jayakrishnan. The author also visited Jayakrishnan’s institution and attended an event there. The author also relied upon archival data in the form of newspaper reports: both print and video. The case is based on events before July 31, 2017. Case overview/synopsis This case examines how entrepreneur V.G. Jayakrishnan, between 1995–2017, set up two successful, yet distinct businesses, namely, ICD (Institute for Career Development), a leading banking test prepping center in Kerala, India and JK Farms, a state-of-the-art dairy farm. Jayakrishnan’s vision and ability to think far ahead of his competition led to ICD becoming one of the most successful banking test prep centers in Kerala, India. Similarly, Jayakrishnan’s vision of scientific dairy farming allowed him to set up the state of the art JK Farms. The case allows students to examine the concepts of intrinsic motivation and transformational leadership. Complexity academic level The case can be used both at the graduate and undergraduate levels. At the graduate level, it can be used at the beginning of any leadership class to foster discussion about intrinsic motivation and transformational leadership. At the undergraduate level, it would be better positioned at the middle of the organizational behavior course after the students have discussed the chapters on motivation, leadership and personality in principal textbooks (Colquitt, LePine and Wesson, McGraw Hill, 2018).

The Importance of Challenge for the Enjoyment of Intrinsically Motivated, Goal-Directed Activities

2011 ◽  
Vol 38 (3) ◽  
pp. 317-330 ◽  
Author(s):  
Sami Abuhamdeh ◽  
Mihaly Csikszentmihalyi
Keyword(s):  
Intrinsic Motivation ◽  
Sampling Method ◽  
Rock Climbing ◽  
Activity Type ◽  
Art Making ◽  
Everyday Activities ◽  
Wide Range ◽  
Perceived Challenge ◽  
Consistent Support ◽  
Subjective Level

Although early interview-based analyses of the enjoyment of intrinsically motivated, goal-directed activities (e.g., chess, rock climbing, art making) suggested the importance of relatively difficult, “optimal” challenges, subsequent findings derived from a wider range of activities have not provided consistent support for this proposition. Two studies were conducted to clarify the relation between challenge and enjoyment. Study 1 focused on a single activity—Internet chess. The importance of challenge was evident at the subjective level (perceived challenge strongly predicted enjoyment) as well as the objective level (games against superior opponents were more enjoyable than games against inferior opponents, and close games were more enjoyable than blowouts). In Study 2, the experience sampling method was used to examine the enjoyment of challenge across a wide range of everyday activities. Activity motivation (intrinsically motivated, non-intrinsically motivated) and activity type (goal directed, non-goal directed) moderated the relation. Implications for theories of intrinsic motivation are discussed.

scholarly journals The evolved psychological mechanisms of fertility motivation: hunting for causation in a sea of correlation

2016 ◽  
Vol 371 (1692) ◽  
pp. 20150151 ◽  
Author(s):  
Lisa S. McAllister ◽  
Gillian V. Pepper ◽  
Sandra Virgo ◽  
David A. Coall
Keyword(s):  
Experimental Methods ◽  
Economic Factors ◽  
Physiological Factors ◽  
Causal Factors ◽  
Fertility Decisions ◽  
Psychological Mechanisms ◽  
Theoretical Perspectives ◽  
Human Fertility ◽  
Evolved Psychological Mechanisms ◽  
Cultural Ecological

Cultural, ecological, familial and physiological factors consistently influence fertility behaviours, however, the proximate psychological mechanisms underlying fertility decisions in humans are poorly understood. Understanding the psychological mechanisms underlying human fertility may illuminate the final processes by which some of these known predictors have their influence. To date, research into the psychological mechanisms underlying fertility has been fragmented. Aspects of reproductive psychology have been examined by researchers in a range of fields, but the findings have not been systematically integrated in one review. We provide such a review, examining current theories and research on psychological mechanisms of fertility. We examine the methods and populations used in the research, as well as the disciplines and theoretical perspectives from which the work has come. Much of the work that has been done to date is methodologically limited to examining correlations between ecological, social and economic factors and fertility. We propose, and support with examples, the use of experimental methods to differentiate causal factors from correlates. We also discuss weaknesses in the experimental research, including limited work with non-WEIRD (western, educated, industrialized, rich and democratic) populations.

scholarly journals A Proposed Framework to Understand the Intrinsic Motivation Factors on University Students’ Behavioral Intention to Use a Mobile Application for Learning

10.28945/3694 ◽  
2017 ◽  
Vol 16 ◽  
pp. 143-168 ◽  
Author(s):  
Ronnie H. Shroff ◽  
Christopher J Keyes
Keyword(s):  
Intrinsic Motivation ◽  
Technology Acceptance ◽  
Behavioral Intention ◽  
Mobile Application ◽  
Perceived Competence ◽  
Intention To Use ◽  
Motivation Factors ◽  
Perceived Challenge ◽  
Behavioral Intention To Use ◽  
Perceived Choice

Aim/Purpose: By integrating a motivational perspective into the Technology Acceptance Model, the goal of this study is to empirically test the causal relationship of intrinsic motivational factors on students’ behavioral intention to use (BIU) a mobile application for learning. Background: Although the Technology Acceptance Model is a significant model, it largely remains incomplete as it does not take into consideration the motivation factors and/or outside influences in the adoption of new technology. Methodology: A Mobile Application Motivation Instrument (MAMI) was developed from a comprehensive review of literature on intrinsic motivation and verified using a formalized card sorting procedure. Four intrinsic motivation scales were developed: perceived competence (COM), perceived challenge (CHA), perceived choice (CHO), and perceived interest (INT). Consequently, a scale to assess students’ behavioral intention (BIU) to use mobile applications was developed using existing scales from prior TAM instruments. Contribution: Incorporating the motivational factors into TAM may provide better explanation and prediction of student acceptance and usage of mobile applications. A potential contribution of this study is the development of a reliable and valid instrument that could be further used by a growing community of researchers, instructional designers, and instructors. Findings: Data were collected from 193 participants to test the causal relationship of perceived competence (COM), perceived challenge (CHA), perceived choice (CHO), and perceived interest (INT) on students’ behavioral intention to use (BIU) a mobile application, using a structural equation modeling approach. The structural path model indicated that perceived competence (COM), perceived challenge (CHA), perceived choice (CHO), and perceived interest (INT) had a significant influence on students’ behavioral intention to use (BIU) a mobile application for learning. Implications of this study are important for researchers and educational practitioners. Future Research: One environmental dimension, understudied but with likely implications for intrinsic motivation, is the social environment.

Root-Cause Analysis

2020 ◽  
pp. 101-107
Author(s):  
Greg Fisher ◽  
John E. Wisneski ◽  
Rene M. Bakker
Keyword(s):  
Problem Solving ◽  
Root Cause Analysis ◽  
Causal Chain ◽  
Causal Factors ◽  
Cause Analysis ◽  
Root Cause ◽  
Underlying Theory ◽  
Core Idea ◽  
Undesirable Outcome

A root-cause analysis is used to identify the initiating, or root, of a causal chain that leads to an observed undesirable outcome. It is useful in helping managers to focus their problem-solving efforts on providing remedies to issues that actually prevent the undesirable outcome from recurring. Failure to identify the root cause of a problem often leads to time spent on removing causal factors, which can alleviate the symptoms of a problem yet may not prevent recurrence with full certainty. This chapter discusses the underlying theory, core idea, depiction, process, insight or value created, and risks and limitations of root-cause analysis. The chapter also discusses the illustration of the DISH Network and applies the steps of root-cause analysis to this case.

scholarly journals Path Analysis of Causal Factors Influencing Marine Traffic Accident via Structural Equation Numerical Modeling

2019 ◽  
Vol 7 (4) ◽  
pp. 96 ◽  
Author(s):  
Shenping Hu ◽  
Zhuang Li ◽  
Yongtao Xi ◽  
Xunyu Gu ◽  
Xinxin Zhang
Keyword(s):  
Human Factors ◽  
Structural Equation ◽  
Human Error ◽  
Structural Model ◽  
Causal Chain ◽  
Equation Modeling ◽  
Prevention Measures ◽  
Hypothetical Model ◽  
Causal Factors ◽  
Marine Traffic

Many causal factors to marine traffic accidents (MTAs) influence each other and have associated effects. It is necessary to quantify the correlation path mode of these factors to improve accident prevention measures and their effects. In the application of human factors to accident mechanisms, the complex structural chains on causes to MTA systems were analyzed by combining the human failure analysis and classification system (HFACS) with theoretical structural equation modeling (SEM). First, the accident causation model was established as a human error analysis classification in sight of a MTA, and the constituent elements of the causes of the accident were conducted. Second, a hypothetical model of human factors classification was proposed by applying the practice of the structural model. Third, with the data resources from ship accident cases, this hypothetical model was discussed and simulated, and as a result, the relationship path dependency mode between the latent independent variable of the accident was quantitatively analyzed based on the observed dependent variable of human behavior. Application examples show that relationships in the HFACS are verified and in line with the path developing mode, and resource management factors have a pronounced influence and a strong relevance to the causal chain of the accidents. Appropriate algorithms for the theoretical model can be used to numerically understand the safety performance of marine traffic systems under different parameters through mathematical analysis. Hierarchical assumptions in the HFACS model are quantitatively verified.

scholarly journals Path Analysis of Causal Factors Influencing Marine Traffic Accident via Structural Equation Numerical Modeling

2019 ◽  
Author(s):  
Shenping Hu ◽  
Zhuang Li ◽  
Yongtao Xi ◽  
Xunyu Gu ◽  
Xinxin Zhang
Keyword(s):  
Human Factors ◽  
Structural Equation ◽  
Human Error ◽  
Structural Model ◽  
Causal Chain ◽  
Equation Modeling ◽  
Prevention Measures ◽  
Hypothetical Model ◽  
Causal Factors ◽  
Marine Traffic

Many causal factors to marine traffic accidents (MTA) influence each other and have associated effects. It is necessary to quantify the correlation path mode of these factors to improve accident prevention measures and their effects. In the application of human factors to the accident mechanisms, the complex structural chains on causes to MTA systems were analyzed combining the Human Failure Analysis and Classification System (HFACS) with theoretical Structural Equation Modeling (SEM). First, the accident causation model was established as a human error analysis classification in sight of MTA, and the constituent elements of the causes of accident was conducted. Second, a hypothetical model of Human factors classification was proposed applying the practice of the structural model. Third, with the data resource from ship accident cases, this hypothetical model was discussed and simulated, and as a result the relationship path dependency mode between the latent independent variable of the accident was quantitatively analyzed based on the observed dependent variable of human behaviors. Application examples show that relationships in HFACS are verified and in line with the path developing mode, and resource management factors have a pronounced influence and a strong relevance to the causal chain of the accidents. Appropriate algorithms for the theoretical model can be used to numerically understand the safety performance of marine traffic systems under different parameters through mathematical analysis. Hierarchical assumptions in the HFACS model are quantitatively verified.

Sign in / Sign up

Export Citation Format

Share Document