scholarly journals Can cognitive biases be good for entrepreneurs?

2020 ◽  
Vol 26 (4) ◽  
pp. 793-813
Author(s):  
Haili Zhang ◽  
Hans van der Bij ◽  
Michael Song
Keyword(s):  
Cognitive Biases ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Entrepreneurial Behavior ◽  
Content Type ◽  
Entrepreneurial Performance ◽  
Statistics And Probability ◽  
Entrepreneurial Action ◽  
And Performance ◽  
Normative Rule

PurposeWhile some studies have found that cognitive biases are detrimental to entrepreneurial performance, others have conjectured that cognitive biases may stimulate entrepreneurial action. This study uses a typology of availability and representative heuristics to examine how two patterns of biases affect entrepreneurial performance. Drawing on ideas from cognitive science, this study predicts that various levels of biases in each pattern stimulate entrepreneurial behavior and performance.Design/methodology/approachA profile-deviation approach was employed to analyze data from 253 entrepreneurs and zero-truncated Poisson regression and the zero-truncated negative binomial regression to test hypotheses.FindingsThis study finds some positive associations between a particular level of cognitive biases in each of the two patterns and entrepreneurial behavior and performance. Results show that the patterns of biases often stimulate and never hurt entrepreneurial behavior and performance. The opposite holds for a lack of cognitive biases, which hurts and never stimulates entrepreneurial behavior and performance.Originality/valueThis study examines patterns of cognitive biases of entrepreneurs instead of single biases. The study broadens the perspective on the heuristics and cognitive biases of entrepreneurs by examining patterns of biases emanating from the availability and the representativeness heuristic that make a difference for entrepreneurial behavior and performance. The study also brings the “great rationality debate” closer to the entrepreneurship field by showing that a normative rule based on statistics and probability theory does not benefit entrepreneurial behavior and performance.

The homicide circumplex: a new conceptual model and empirical examination

2018 ◽  
Vol 8 (4) ◽  
pp. 314-332 ◽  
Author(s):  
Matt DeLisi ◽  
Alan Drury ◽  
Michael Elbert
Keyword(s):  
Social Cognitive ◽  
Cognitive Biases ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Severe Form ◽  
Criminal Careers ◽  
Empirical Examination ◽  
Content Type ◽  
Lethal Violence ◽  
Gang Activity

PurposeHomicide is the most severe form of crime and one that imposes the greatest societal costs. The purpose of this paper is to introduce the homicide circumplex, a set of traits, behaviors, psychological and psychiatric features that are associated with greater homicidal ideation, homicidal social cognitive biases, homicide offending and victimization, and psychopathology that is facilitative of homicide.Design/methodology/approachUsing the data from a near population of federal supervised release offenders from the Midwestern USA, ANOVA, multinomial logistic, Poisson and negative binomial regression models were developed.FindingsGreater homicidal ideation is associated with homicide offending, attempted homicide offending and attempted homicide victimization and predicted by gang activity, alias usage, antisocial personality disorder and intermittent explosive disorder. These behavioral disorders, more extensive criminal careers, African American status and gang activity also exhibited significant associations with dimensions of the homicide circumplex.Originality/valueDeveloping behavioral profiles of offenders that exhibit homicidal ideation and behaviors are critical for identifying clients at greatest risk for lethal violence. The homicide circumplex is an innovation toward the goal that requires additional empirical validation.

Patient hospital experience and satisfaction on social media

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Subhajit Chakraborty ◽  
E. Mitchell Church
Keyword(s):  
Health Care ◽  
Social Media ◽  
Patient Satisfaction ◽  
Mixed Methods ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Health Service Delivery ◽  
Health Care Team ◽  
Care Team ◽  
Content Type

Purpose The purpose of this paper is to show the value of open-ended narrative patient reviews on social media for elucidating aspects of hospital patient satisfaction. Design/methodology/approach Mixed methods analyses using qualitative (manual content analyses using grounded theory and algorithmic analyses using the Natural Language Toolkit) followed by quantitative analyses (negative binomial regression). Findings Health-care team communication, health-care team action orientation and patient hospital room environment are positively related to patient hospital satisfaction. Patients form their hospital satisfaction perceptions based on the three facets of their hospital stay experience. Research limitations/implications In the spirit of continuous quality improvement, periodically analyzing patient social media comments could help health-care teams understand the patient satisfaction inhibitors that they need to avoid to offer patient-centric care. Practical implications By periodically analyzing patient social media comments hospital leaders can quickly identify the gaps in their health service delivery and plug them, which could ultimately give the hospital a competitive advantage. Originality/value To the best of the authors’ knowledge, this is one of the first studies to apply mixed methods to patient hospital review comments given freely on social media to critically understand what drives patient hospital satisfaction ratings.

How marketer-generated content characteristics affect consumer engagement? Empirical evidence from China's WeChat food marketing

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Si Tan ◽  
Weiping Chen
Keyword(s):  
Body Text ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Food Marketing ◽  
Consumer Engagement ◽  
Content Type ◽  
Positive Effects ◽  
Binomial Regression ◽  
Media Research ◽  
Text Content

Purpose Leveraging marketer-generated content (MGC) can increase firms' success. However, few studies uncover the effects of MGC-related attributes on consumer engagement in the context of food marketing. This paper aims to explore the influence of MGC characteristics (valence, content types, vividness and interactivity) on consumer engagement.Design/methodology/approachThis study uses WeChat official account data of seven food companies from China and conducts negative binomial regression models.FindingsThe findings indicate that different MGC-related characteristics have separate impacts on consumer WeChat engagement. Title valence, transactional title content and title with punctuation vividness negatively affect consumers' consuming engagement. Knowledgeable or entertaining title content and title with interactivity both positively affect consumers' consuming engagement. Moreover, transactional body text content negatively influences consumers' contributing engagement, whereas entertaining body text content shows positive effects. Vivid and interactive MGC body text attributes enhance consumers' contributing engagement behavior.Originality/value This study contributes to social media research in food marketplaces and sheds light on the effect of different WeChat MGC characteristics on separate consumer engagement.

The role of online leadership in open collaborative innovation

2019 ◽  
Vol 119 (9) ◽  
pp. 1969-1987 ◽  
Author(s):  
Wen Mu ◽  
Yiyang Bian ◽  
J. Leon Zhao
Keyword(s):  
Social Capital ◽  
Open Source ◽  
Negative Binomial ◽  
Leadership Behaviors ◽  
Negative Binomial Regression ◽  
Content Type ◽  
Joint Effects ◽  
Collaborative Innovation ◽  
Online Leadership ◽  
Task Oriented

Purpose The purpose of this paper is to investigate the roles of online leadership in open collaborative innovation success by extending functional leadership theory in the context of open source projects. Design/methodology/approach This study uses negative binomial regression models to empirically test the proposed hypotheses with samples of blockchain open source projects on GitHub. Findings The results indicate that task-oriented leadership behaviors in forms of technical contributions have little influence on open collaborative innovation success; relation-oriented leadership behaviors embedded in internal social capital and external social capital contribute to open collaborative innovation success prominently. Furthermore, the joint effects of technical contributions, internal social capital and community commitment with openness orientation are positively significant on open collaborative innovation success, respectively. Practical implications For leaders and participants of open collaborative innovation projects, they should attach importance to both leadership behaviors and the joint effects with openness orientation so as to make informed decisions. Originality/value This study offers a new fine-grained framework of open collaborative innovation success by investigating specific dimensions of task-oriented and relation-orientated leadership behaviors, as well as their joint effects with openness orientation.

Faculty research productivity under alternative appointment types: tenure vs non-tenure track

2017 ◽  
Vol 43 (12) ◽  
pp. 1348-1357
Author(s):  
Marcus T. Allen ◽  
Carol A. Sweeney
Keyword(s):  
Higher Education ◽  
Research Productivity ◽  
Negative Binomial ◽  
Cost Savings ◽  
Negative Binomial Regression ◽  
Tenure Track ◽  
Content Type ◽  
Higher Education System ◽  
The Usa ◽  
The Impact

Purpose The increasing use of non-tenure employment contracting as a cost savings and/or management flexibility increasing mechanism in colleges and universities raises concerns about the impact of this strategy on other aspects of the higher education system. The purpose of this paper is to document reduced research productivity at a university that uses rolling contracts in comparison to research productivity at another university in the same state university system in the USA that uses tenure track contracting. Design/methodology/approach Negative binomial regression analysis allows investigation of the primary variable of interest (appointment type) while controlling for other factors that may also affect research productivity. Findings The findings suggest that non-tenure track employment contracting may have other long-term implications for institutions of higher education that warrant consideration. Originality/value No prior study has investigated the topic of comparative research productivity in business schools using this methodology or data source.

Intuition and mood of investors in financial markets

2017 ◽  
Vol 30 (2) ◽  
pp. 231-248
Author(s):  
Robson Braga ◽  
Luiz Paulo Lopes Fávero ◽  
Renata Turola Takamatsu
Keyword(s):  
Regression Models ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Real Data ◽  
Financial Assets ◽  
Risky Assets ◽  
Content Type ◽  
Binomial Regression ◽  
Investor Behaviour ◽  
Investment Portfolios

Purpose The purpose of this paper is to evaluate investor behaviour related to the timing of selling financial assets based on an intuitive evaluation of the current market trend and growth expectation. Design/methodology/approach The experiment involved 1,052 volunteer participants who made decisions about stock sales in an environment that simulated a home broker platform to negotiate stocks. Zero-inflated regression models were used. Findings The results show that investors’ attitudes, or beliefs, determine whether they will buy or keep risky assets in their investment portfolios; they may decide to sell such assets, even though market shows an upward trend. Such results make a new contribution to behavioural finance within the context of prospect theory and the disposition effect. Originality/value The originality of this paper lies in the use of new and innovative techniques (zero-inflated Poisson and negative binomial regression models) applied to real data obtained experimentally.

scholarly journals Quantifying the effects of online review content structures on hotel review helpfulness

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wenjie Fan ◽  
Yong Liu ◽  
Hongxiu Li ◽  
Virpi Kristiina Tuunainen ◽  
Yanqing Lin
Keyword(s):  
Attribution Theory ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Review Literature ◽  
Online Review ◽  
Emotional Intensity ◽  
Content Type ◽  
Sentence Level ◽  
Review Helpfulness ◽  
The Impact

PurposeDrawing on attribution theory, the current paper aims to examine the effects of review content structures on online review helpfulness, focusing on three pertinent variables: review sidedness, information factuality, and emotional intensity at the beginning of a review. Moreover, the moderating roles of reviewer reputation and review sentiment are investigated.Design/methodology/approachThe review sentiment of 144,982 online hotel reviews was computed at the sentence level by considering the presence of adverbs and negative terms. Then, the authors quantified the impact of variables that were pertinent to review content structures on online review helpfulness in terms of review sidedness, information factuality and emotional intensity at the beginning of a review. Zero-inflated negative binomial regression was employed to test the model.FindingsThe results reveal that review sidedness negatively affects online review helpfulness, and reviewer reputation moderates this effect. Information factuality positively affects online review helpfulness, and positive sentiment moderates this impact. A review that begins with a highly emotional statement is more likely to be perceived as less helpful.Originality/valueUsing attribution theory as a theoretical lens, this study contributes to the online customer review literature by investigating the impact of review content structures on online review helpfulness and by demonstrating the important moderating effects of reviewer reputation and review sentiment. The findings can help practitioners develop effective review appraisal mechanisms and guide consumers in producing helpful reviews.

scholarly journals Post content and its effect on consumer engagement rate in Indian life insurance Facebook brand pages

2018 ◽  
Vol 7 (2) ◽  
pp. 795 ◽  
Author(s):  
Sudarsan Jayasingh ◽  
T. Thiruvenkadam ◽  
S. Arunkumar
Keyword(s):  
Life Insurance ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Statistical Technique ◽  
Insurance Companies ◽  
Consumer Engagement ◽  
Content Type ◽  
Related Information ◽  
Binomial Regression ◽  
Research Findings

Indian insurance companies are new in adopting social media marketing and this research paper try to identify the post characteristics that drive consumer engagement in Facebook brand pages. The data used for this study was obtained from the post of five brands of Indian life insurance companies’ official Facebook brand pages. The data collection was gathered using Fanpage Karma over a period of three months, from the 1st of Jan to the 31st of March 2017. The posts collected during the period were 448 brand-initiated posts in total. This study calculated consumer engagement rate as total number of likes, comments and shares by total number of fans. The analysis is done using negative binomial regression statistical technique. The results show that media format and content type significantly affects the consumer engagement in Facebook brand pages. Content that provides brand related information was found to be one of important factor to increase the consumer engagement rate. The consumer engagement is found to be high for images of low vividness. The recommendations provided to marketers based on the research findings in this study.

Beyond direct relationships

2019 ◽  
Vol 31 (2) ◽  
pp. 392-412
Author(s):  
Dong-Young Kim
Keyword(s):  
Resource Dependence ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Resource Dependence Theory ◽  
Content Type ◽  
Dependent Relationship ◽  
Binomial Regression ◽  
Holistic Understanding ◽  
Technology Industries

Purpose The purpose of this paper is to investigate whether supplier dependence is related to innovation in supplier firms. Drawing on resource dependence theory, the authors hypothesized that supplier dependence has both positive and negative relationships to the quantity and quality of innovation. Design/methodology/approach The study is based on data collected from US companies. Negative binomial regression analysis was used to test the proposed hypothesis. Findings The authors found that the quantity of innovation of a supplier firm initially decreased and then increased with the extent of the dependence upon major customers. This finding supports the idea that the benefits of supplier dependence mitigate the negative outcomes of dependence upon major customers. Originality/value This study extends the literature on supplier dependence by empirically examining the relationship between supplier dependence and the quantity and quality of innovation within the context of high-technology industries. The authors provide a holistic understanding of the value of the dependent relationship in boosting innovation in the context of supply chain management.

scholarly journals Servant leaders, ethical followers? The effect of servant leadership on employee deviance

2019 ◽  
Vol 40 (5) ◽  
pp. 624-646
Author(s):  
Heidi Paesen ◽  
Kristel Wouters ◽  
Jeroen Maesschalck
Keyword(s):  
Servant Leadership ◽  
Protective Effect ◽  
Online Survey ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Situational Factor ◽  
Strengthening Effect ◽  
Content Type ◽  
Employee Deviance ◽  
The Impact

Purpose Leadership is considered to be a crucial situational factor in predicting and explaining employee deviance. The purpose of this paper therefore is to investigate the relationship between servant leadership on the one hand and employee deviance on the other. While previous studies on the impact of servant leadership on employee deviance typically aggregated all its dimensions into a single scale, this study also explores the impact of the various dimensions of servant leadership separately. Design/methodology/approach Data were collected via an online survey in two ministries of the Belgian Federal Government (n=3,445). The analyses were conducted using confirmatory factor analysis and multiple linear and negative binomial regression analysis. Findings The empirical results suggest that the generic servant leadership scale has the expected negative, protective effect on both self-reported and observer-reported employee deviance. As for the dimensions, the authors found that only the “putting subordinates first” dimension had a significant negative, protective effect on both self-reported and observer-reported employee deviance. The dimensions “behaving ethically” and “emotional healing” negatively impacted only observer-reported employee deviance and the dimension “creating value for society” negatively impacted only self-reported employee deviance. Surprisingly, the dimension “empowering” had a significant positive, strengthening effect on both self-reported and observer-reported employee deviance. Originality/value While most research assesses servant leadership’s impact on desirable behaviour, this study is about its impact on employee deviance. Also unlike most previous research, this study looks not only at the overall effect of servant leadership, but also at the impact of the various dimensions of servant leadership separately.

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