What do we know about career and development? Insights from Career Development International at age 25

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Arup Varma ◽  
Satish Kumar ◽  
Riya Sureka ◽  
Weng Marc Lim
Keyword(s):  
Career Development ◽  
Negative Binomial ◽  
Citation Impact ◽  
Negative Binomial Regression ◽  
Key Factors ◽  
Thematic Structure ◽  
Content Type ◽  
Factors Affecting ◽  
Binomial Regression ◽  
Bibliographic Data

PurposeCareer Development International (CDI) is an established source of scientific research on careers and development. The journal reached its 25-years milestone in 2021. To commemorate the occasion, the article aims to provide a retrospective of the major trends, research constituents, thematic structure and key factors explaining the citation impact of CDI articles between 1996 and 2020.Design/methodology/approachThe article extracts bibliographic data of CDI from Scopus and uses that data in (1) a series of bibliometric analyses to explain the major trends, research constituents and thematic structure and (2) a negative binomial regression analysis to explain the key factors affecting the citation impact of CDI.FindingsThe article finds that CDI has progressed and contributed substantially to the scientific community since its inception 25 years ago. The contributions in CDI are mainly from America and Europe and can be organized around five major clusters, namely career development, work engagement, entrepreneurship career, career outcomes and career mentoring.Research limitations/implicationsThe article provides a rich overview of CDI, but the findings are limited to the accuracy and availability of bibliographic data of CDI from Scopus.Originality/valueThe article extends Akkermans and Kubasch's (2017) 5-years retrospection of major journals on career and development through a 25-years retrospection of CDI, and in doing so, the article provides a longer and more accurate representation of CDI's contributions to the extant literature on career and development.

Systemic Determinants in Surgery: Nonclinical Factors Affecting Time to Operation for Incarcerated Ventral Hernias

2021 ◽  
pp. 000313482110111
Author(s):  
David E. Wang ◽  
Paul J. Chung ◽  
Rafael Barrera ◽  
Gene F. Coppa ◽  
Antonio E. Alfonso ◽  
...  
Keyword(s):  
Operating Room ◽  
Negative Binomial ◽  
Private Insurance ◽  
Negative Binomial Regression ◽  
Outcome Variable ◽  
Hospital Size ◽  
Factors Affecting ◽  
Binomial Regression ◽  
Comorbidity Status ◽  
Ventral Hernias

Introduction We explore nonclinical factors affecting the amount of time from admission to the operating room for patients requiring nonelective repair of ventral hernias. Methods Using the 2005-2012 Nationwide Inpatient Sample, we identified adult patients with a primary diagnosis of ventral hernia without obstruction/gangrene, who underwent nonelective repair. The outcome variable of interest was time from admission to surgery. We performed univariate and multivariable analyses using negative binomial regression, adjusting for age, sex, race, income, insurance, admission day, comorbidity status (van Walraven score), diagnosis, procedure, hospital size, location/teaching status, and region. Results 7,253 patients met criteria, of which majority were women (n = 4,615) and white (n = 5,394). The majority of patients had private insurance (n = 3,015) followed by Medicare (n = 2,737). Median time to operation was 0 days. Univariate analysis comparing operation <1 day to ≥1 day identified significant differences in race, day of admission, insurance, length of stay, comorbidity status, hospital location, type, and size. Negative binomial regression showed that weekday admission (IRR 4.42, P < .0001), private insurance (IRR 1.53-2.66, P < .0001), rural location (IRR 1.39-1.76, P < .01), small hospital size (IRR 1.26-1.36, P < .05), white race (IRR 1.30-1.34, P < .01), healthier patients (van Walraven score IRR 1.05, P < .0001), and use of mesh (IRR 0.39-0.56, P < .02) were associated with shorter time until procedure. Conclusion Shorter time from admission to the operating room was associated with several nonclinical factors, which suggest disparities may exist. Further prospective studies are warranted to elucidate these disparities affecting patient care.

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.

scholarly journals Factors Affecting Crash Frequencies: A Negative Binomial Regression Based Analysis of Indus Highway, Pakistan

2019 ◽  
Vol 296 ◽  
pp. 01005
Author(s):  
Rafi Ullah Khan ◽  
Jingbo Yin ◽  
Faluk Shair Mustafa
Keyword(s):  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Crash Frequency ◽  
Risk Recognition ◽  
Factors Affecting ◽  
Trade Routes ◽  
Vital Importance ◽  
Behavior Understanding ◽  
Binomial Regression ◽  
Spss Software

The increase in vehicular traffic have also increased the highway crash frequency with the passage of time. Improvements in highway safety is of vital importance as it could save vast life and monetary losses. The highway crash frequency analysis of major Pakistani highways is a subject less discovered and many important strategic and trade routes are not studied in this regard. This study is aimed to analyze the crash frequency and the prominent factors that cause these crashes on a 302 km section of Indus highway; one of the most important trade routes of the country. Eight years’ data from 2011 till 2018 was arranged into 19 variables where the crash frequency is set as dependent variable, while the eighteen prominent causation factors as independent variables. The tool used for analysis was negative binomial regression being run in the SPSS software. The results indicate that the driver’s behavior, understanding & risk recognition, negligence and law adherence have a significant effect on the crash frequency. Furthermore, highway crash frequency significantly increases with increase in highway segment lengths, number of lanes and lane widths. Similarly, the highway crash frequency significantly enhances when the light, pavement surface and climate condition gets deteriorated. The results of this study are of vital importance to government, transportation companies and general public in order to recognize the most important accident causing factors and devise the transport policies, rules and behaviors accordingly.

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 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.

The liability of newer than newness: aspiring entrepreneurs and legitimacy

2019 ◽  
Vol 26 (3) ◽  
pp. 539-558 ◽  
Author(s):  
Jay O’Toole ◽  
Michael P. Ciuchta
Keyword(s):  
Design Methodology ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Content Type ◽  
Business Loan ◽  
Binomial Regression ◽  
The Social ◽  
Explicit Theory ◽  
New Business ◽  
Original Emphasis

Purpose The purpose of this paper is to return to Stinchcombe’s original emphasis on emerging vs existing organizations by examining the cognitive legitimacy challenges aspiring entrepreneurs face vis-à-vis entrepreneurs with existing businesses. Design/methodology/approach The data collection included content analysis of profiles of an online crowdfunding, peer-to-peer lending market leading to a sample of 507 business loan requests, 123 of which were requests to support new business ideas rather than existing businesses. Negative binomial regression was used to test hypotheses regarding whether aspiring entrepreneurs seeking convenience-based support for their new business ideas would be less successful than their counterpart entrepreneurs seeking support for their existing businesses. Findings The findings show that aspiring entrepreneurs received less convenience-based support for their new business ideas from key resource providers than their peer entrepreneurs asking for support for existing businesses. The findings also suggest that this liability of newer than newness may be able to be mitigated by reputational signals such as the creditworthiness of the entrepreneur making the request. Originality/value This study focuses on the original insights Stinchcombe introduced when he described the social conditions that produce the liability of newness. Moreover, this study offers explicit theory as to the key mechanisms that cause the liability of newness by focusing on an aspiring entrepreneur’s ability to secure convenience-based support and potential ways an aspiring entrepreneur may offset that liability.

Armed burglary: a marker for extreme instrumental violence

2017 ◽  
Vol 7 (1) ◽  
pp. 3-12 ◽  
Author(s):  
Matt DeLisi ◽  
Eric Beauregard ◽  
Hayden Mosley
Keyword(s):  
Regression Models ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Criminal Careers ◽  
Content Type ◽  
Violent Offending ◽  
Binomial Regression ◽  
Material Gain ◽  
Sexually Abuse ◽  
Severe Type

Purpose Most burglaries are property offenses yet some offenders perpetrate burglary for the purpose of violent instrumental crimes. Sexual burglars are distinct from non-sexual burglars because the former seek to rape or sexually abuse victims within the homes they burgle whereas the latter seek theft and material gain. It is unclear to what degree burglars who are armed with firearms or knives represent a type of sexual burglar, or perhaps a more severe type of offender who enters homes not merely to rape a victim, but to perhaps murder them as well. The paper aims to discuss these issues. Design/methodology/approach Drawing on data from 790 felons in Florida, t-test and negative binomial regression models were used to compare armed burglars to offenders who were not convicted of armed burglary. Findings Compared to offenders not convicted of armed burglary, armed burglars were involved in significantly more instrumental crimes of violence including first-degree murder, kidnapping, armed rape, armed robbery and assault with intent to murder. Armed burglary may be a marker of extreme instrumental violent offending and warrants further study. Originality/value To the authors’ knowledge, this is among the first studies of armed burglary offenders and adds understanding to the heterogeneity of burglary offenders and their criminal careers.

Gang organization and violence in youth correctional facilities

2016 ◽  
Vol 2 (2) ◽  
pp. 81-94 ◽  
Author(s):  
Daniel Walter Scott ◽  
Cheryl Lee Maxson
Keyword(s):  
Negative Binomial ◽  
Violent Behavior ◽  
Negative Binomial Regression ◽  
Correctional Facilities ◽  
Cross Sectional ◽  
Content Type ◽  
Institutional Violence ◽  
Binomial Regression ◽  
Gang Organization ◽  
The Relationship

Purpose – The purpose of this paper is to examine characteristics of gang organization in youth correctional facilities as reported by youth and staff as well as to analyze the relationship between institutional violence and level of gang organization. Design/methodology/approach – The data were collected through interviews with staff and youth in correctional facilities. Gang organization level averages are compared across youth and official perspectives, and the variability of responses among youth is also examined. Negative binomial regression models are conducted to determine the association between perceived level of gang organization and officially recorded violent behavior, both prior to and subsequent to the interview. Findings – Perceptions of institutional gang organization vary notably depending on who is reporting. In contrast with prior studies of street gangs, controlling for youth demographics and offense characteristics, the authors find no significant relationship between gang organization and violence. Research limitations/implications – The sample size is small and the data are cross-sectional. Future studies will need to be conducted in order to confirm these findings, as they contradict prior studies. The analysis of street gang organization may need to be approached differently by scholars. Originality/value – Research has not been conducted on the organizational structure of gangs in youth correctional facilities or its relationship to institutional violence.

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