Making the right move. Investigating employers’ recruitment strategies

2015 ◽  
Vol 44 (5) ◽  
pp. 781-800 ◽  
Author(s):  
Klarita Gërxhani ◽  
Ferry Koster
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Agency Theory ◽  
Logistic Regression Analysis ◽  
Recruitment Strategy ◽  
Recruitment Strategies ◽  
Content Type ◽  
Job Type ◽  
Hiring Process ◽  
The Right

Purpose – The purpose of this paper is to investigate employers’ recruitment strategies to address distinct job-related agency problems before establishing an employment relationship. Insights from agency theory and the social embeddedness perspective are combined to hypothesize whether and why employers adapt their recruitment strategies to the job type (differing in level of discretion) for which they are externally hiring. Design/methodology/approach – The hypotheses are empirically tested using data from a survey of 288 Dutch employers. Questions were asked about the two types of jobs. Multi-level logistic regression analysis is applied to investigate the effect of social context on the choice of recruitment strategy. In addition to that, separate analyses are conducted for the two job types, using logistic regression analysis. Findings – As predicted, employers have the tendency to use informal recruitment channels more often for jobs with high degree of discretion (i.e. managerial, professional, and specialists jobs (MPS)) than for jobs with low degree of discretion (i.e. administrative and supporting jobs). In addition, the type of information transmitted through employers’ social contacts matters for their recruitment strategies. In particular, the reliable and trustworthy information from contacts with friends and family is more important for MPS jobs. This seems to be the way employers deal with the high agency costs characterizing this type of jobs. Originality/value – This study extends prior research as follows. First, while earlier studies more closely looked at why organizations use formal or informal recruitment, this study specifically focusses on the role the job type plays in the hiring process. Second, it provides an extension of agency theory by including job type in the analyses. And, third, the study examines how the networks of employers, rather than employees, affect the hiring process.

Trust in police as an influencing factor on trust in government: 2SLS analysis using perception of safety

2020 ◽  
Vol 43 (4) ◽  
pp. 541-558
Author(s):  
Jisu Jeong ◽  
Seunghui Han
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Trust In Government ◽  
Content Type ◽  
Perception Of Safety ◽  
Ordered Logistic Regression ◽  
The Impact ◽  
The Relationship ◽  
Trust In Police

PurposeCitizen trust in police is important in terms of citizen consent to government policies and of police achieving their organizational goals. In the previous study, improvements in police policy, organizational operation and policing activities were developed to clarify which factors influence trust in police and how trust can be improved. This research raises the question, would changes in trust in police have an impact on trust in government? In this paper, this research question is discussed theoretically and the causal relationship analyzed empirically by applying OLS, ordered logistic, 2SLS and logistic regressions.Design/methodology/approachThe basic analysis methods are to apply the OLS and the ordered logistic regression. OLS regression analysis is an analytical method that minimizes an error range of a regression line. The assumptions for OLS are: linearity, independence, equilibrium, extrapolation and multicollinearity issues. These problems were statistically verified and analyzed, in order to confirm the robustness of the analysis results by comparing the results of the ordered logistic regression because of the sequence characteristic of the dependent variable. The data to be used in this study is the Asia Barometer Survey in 2013.FindingsTrust in police and citizen perception of safety are analyzed as important factors to increase trust in the government. The effects of trust in police are more significant than the effects of control variables, and the direction and strength of the results are stable. The effect of trust in police on trust in government is strengthened by the perception of safety (IV). In addition, OLS, ordered logistic regression analysis, which analyzed trust in central government and local government, and logistic regression analysis categorized by trust and distrust show the stability.Research limitations/implicationsThis paper has implications in terms of theoretical and empirical analysis of the relationship between trust in police and trust in government. In addition, the impact of perception of safety on trust in police can be provided to police officers, policymakers and governors who are seeking to increase trust in government. This paper is also meaningful in that it is the microscopic research based on the citizens' survey. One of the limitations of macroscopic research is that it does not consider the individual perceptions of citizens.Practical implicationsThe results of this paper can confirm the relationship of the virtuous cycle, which is perception of safety – trust in police – trust in government. The police will need to provide security services to improve citizens' perception of safety and make great efforts to create safer communities and society. Trust in police formed through this process can be an important component of trust in government. By making citizens feel safer and achieving trust in police, ultimately, trust in government will be improved.Originality/valueThe police perform one of the essential roles of government and are one of the major components of trust in government, but the police sector has been neglected compared to the roles of the economic and political sectors. These influences of macro factors are too abstract to allow specific policy directions to be suggested. If we consider trust in police, and factors that can improve trust in government, we can suggest practical policy alternatives.

A study of equality of educational opportunity in Nepal using logistic regression analysis

2020 ◽  
Vol 22 (4) ◽  
pp. 249-262
Author(s):  
Naruho Ezaki
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Private Schools ◽  
Logistic Regression Analysis ◽  
Educational Opportunity ◽  
Quality Education ◽  
High Quality ◽  
Content Type ◽  
High Quality Education ◽  
Equality Of Educational Opportunity

PurposeWhile privatisation in education is expanding, the number of children transferring from public to private schools seeking high-quality education has increased. This study examined equality of educational opportunity, focussing on the attributes of individual children and their familial backgrounds. The target country is Nepal, which has been facing an educational disparity problem between public and private schools.Design/methodology/approachThis study performed a logistic regression analysis with the objective variable as the binary capability to attend a private school and analysed the differences between children who attended public versus private schools. Semi-structured interviews with subjects and teachers and home-visit surveys were conducted to collect and confirm data.FindingsThis study revealed that particular children were excluded from seeking high-quality education in form of attending private schools. These children's characteristics correspond to lower economic status, illiterate mothers, being only children and female. Moreover, the study observed changes in awareness due to the modernisation and globalisation of Nepali society and growing enthusiasm for education, amongst others.Originality/valueResearch on privatisation and access to quality education, which has attracted scholarly attention in recent years, requires a broader scope regarding target countries and more in-depth analyses. This study focussed on Nepal since, in the country, the phenomenon of children leaving public for private schools is prominent and little research has been conducted on this context. Additionally, since the study gathered extensive data on individual children and did not rely on secondary data, it was possible to perform an in-depth analysis and accurately portray the real situation faced by Nepali children.

The benchmarking of the use of toolkit for mass customization in the automobile industry

2017 ◽  
Vol 24 (6) ◽  
pp. 1767-1783 ◽  
Author(s):  
Diego Castro Fettermann ◽  
Márcia Elisa Soares Echeveste ◽  
Guilherme Luz Tortorella
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Automobile Industry ◽  
Mass Customization ◽  
Design Methodology ◽  
Market Conditions ◽  
Content Type ◽  
Corporate Brands ◽  
The Relationship

Purpose The purpose of this paper is to examine the relation between the utilization of the customization strategy and the availability of the online toolkit and its features with the commercial variables of businesses. Design/methodology/approach The sample used in this paper consists of 134 cases of corporate brands in the automobile industry; their sales correspond to 49.12 percent of vehicles produced in 2012. The logistic regression analysis was then applied to the sample. Findings This paper confirmed the relationship between the use of toolkits for customization and business variables, like vehicle sales. Originality/value The generated model allows the prediction of market conditions which recommended to provide the toolkit for customization, and if implemented, what combination of features it must have.

Perceived social support and its relationship with depression among Bangkok's trans women

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pankaew Tantirattanakulchai ◽  
Nuchanad Hounnaklang
Keyword(s):  
Social Support ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Transgender Women ◽  
Multivariable Logistic Regression Analysis ◽  
Snowball Sampling ◽  
Content Type ◽  
Multivariable Logistic Regression ◽  
Prevalence Of Depression

PurposeThe purpose of this paper is to evaluate the prevalence of depression and to determine the association between social support and depression among transgender women in Bangkok, Thailand.Design/methodology/approachA cross-sectional study was conducted among 280 transgender women in Bangkok, Thailand between March 2019 and May 2019 using the snowball sampling method. Data were collected through a self-administered questionnaire. The questionnaire included demographic questions and measures of social support (MSPSS) and depression (CES-D). Multivariable logistic regression analysis was employed to explore the association between social support and depression.FindingsThe prevalence of depression among transgender women was 58.2%. Multivariable logistic regression analysis indicated that depression was significantly associated with perceived low social support (OR: 9.55, 95%CI: 2.10–43.39) and moderate social support (OR: 2.03, 95%CI: 1.19–3.46) after being adjusted for religion, sufficient income and alcohol drinking.Originality/valueTransgender women were prone to experience a higher prevalence of depression than the general population. Social support would reduce the risk of depression among transgender women. Therefore, social support service systems for transgender women should be embedded into organizations concerned.

Logistic regression analysis for factors influencing cost performance of design-bid-build and design-build projects

2017 ◽  
Vol 24 (1) ◽  
pp. 118-132 ◽  
Author(s):  
Wenxue Lu ◽  
YuanYuan Hua ◽  
SuJuan Zhang
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Influencing Factors ◽  
Logistic Regression Analysis ◽  
Cost Performance ◽  
Project Cost ◽  
Content Type ◽  
Factors Influencing ◽  
Design Build ◽  
Design Bid Build

Purpose The purpose of this paper is to explore the influencing factors of cost performance of design-bid-build (DBB) and design-build (DB) projects and comparing the differences of influencing factors between these two delivery methods. Design/methodology/approach This research identified and refined 14 influencing factors through literature review and academic expert discussions. Questionnaire survey was conducted to collect data about the influencing factors and project cost performance. Then those factors were reduced to four components by factor analysis. Logistic regression analysis is used to investigate the relationship between four principal components and project cost performance. Findings The results indicate that the significant influencing factors of project cost performance of DBB projects and DB projects are different. For DBB projects, owner abilities, such as owner team ability, owner experience, and owner finance, are important influencing factors causing cost overruns, while for DB projects cost performance is more sensitive to the contractor abilities, namely, contractor team ability, contractor finance, contractor experience, etc. Research limitations/implications The results of the paper are mainly derived by quantitative research method based on the survey of 144 samples, so the results may need validation by qualitative studies. Further research could apply case study or interview to validate the findings in this research. In addition, project type and location are not considered as control variables due to the limited number of samples, future research could be conducted to investigate their relationship with project performance. Practical implications The findings of this research not only help practitioners have a better understanding of the factors influencing project cost performance, but also provide some guidelines for practitioners to pay attention to different factors to better control the cost performance within different delivery systems. Originality/value Owner ability and contractor ability are found to be of different importance in influencing cost performance of DBB and DB projects. This research extends previous research on cost management by considering different significant factors in influencing project cost performance within DBB and DB projects.

Characteristics of New Zealand dividend omissions and resumptions

2019 ◽  
Vol 46 (1) ◽  
pp. 40-55
Author(s):  
Nicholas Kraiger ◽  
Warwick Anderson
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
New Zealand ◽  
Logistic Regression Analysis ◽  
Multinomial Logistic Regression ◽  
Abnormal Returns ◽  
Market Value ◽  
Firm Characteristics ◽  
Content Type ◽  
Dividend Omissions

Purpose For firms listed on the New Zealand Stock Exchange, which is a relatively thinly traded market, the purpose of this paper is to examine the nature of stock returns associated with a dividend omission announcement when computations specifically address thin trading, and whether specific firm characteristics affect the likelihood and nature of a dividend omission. Design/methodology/approach First, event study analysis is used to check if dividend omissions actually do impact share prices in terms of short-term abnormal returns and longer-term cumulative abnormal returns (CARs) in a thinly traded market. Second, binomial logistic regression analysis is used to determine what, if any, company characteristics are associated with the decision to omit a dividend. Third, multinomial logistic regression analysis is employed to determine what firm characteristics are associated with continuing (or ending) a phase of no dividends before a dividend resumption. Findings Dividend omissions generate immediate negative abnormal returns, and there is a longer-term persistence of negative CARs. The size and duration of these abnormal returns are smaller, but still significant, when thin-market-specific methodology is employed. With respect to firm characteristic, smaller firms, firms with decreased earnings, a higher level of extraordinary charges, greater leverage and firms with a higher book-to-market value are associated with a greater likelihood of making an omission. With respect to the length of time between an omission and resumption of dividend payments, earnings decreases, a higher book-to-market value, a higher level of extraordinary charges and a decrease in firm debt level become significant. Originality/value This paper adds value in two dimensions. First, it considers dividend omissions in three different, but inter-connected ways. Second, the use of multinomial logistic regression to examine an aspect of the non-payment hiatus breaks new ground.

scholarly journals Simultaneous Damage of the Cingulate Cortex Zone II and Fronto-Striatal Circuit Causes Prolonged Selective Attentional Deficits

2021 ◽  
Vol 15 ◽  
Author(s):  
Riho Nakajima ◽  
Masashi Kinoshita ◽  
Mitsutoshi Nakada
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Selective Attention ◽  
Logistic Regression Analysis ◽  
Multiple Logistic Regression Analysis ◽  
Cingulate Cortex ◽  
Multiple Logistic Regression ◽  
Attentional Deficits ◽  
Zone Ii ◽  
The Right

Selective attention is essential for successful cognitive performance. Although several brain areas are known to be involved in selective attention, damage to some of these areas does not necessarily cause attentional deficits. In the current study, we hypothesized that damage to specific parts of the right cerebral hemisphere, especially the cingulate cortex (CC), causes prolonged selective attentional deficits, and examined the influence of focal brain damage on selective attention. We recruited 36 patients with right cerebral hemispheric WHO grade 2 and 3 brain tumors who underwent surgery. We assessed selective attention over time from pre-operation to 3 months postoperatively using the cancelation test and color Stroop test, and calculated the percentage of deficit. Additionally, two types of imaging analyses were performed: voxel-based lesion symptom mapping (VLSM) and multiple logistic regression analysis, to reveal related brain regions for selective attention. Consequently, we found that the CC and deep part of the middle frontal gyrus were associated with deficits in selective attention via VLSM. Using multiple logistic regression analysis, the CC zone II at the cortical level (p < 0.0001) and the fronto-striatal tract (FST) at the subcortical level (p = 0.0079) were associated with attentional deficit among several regions identified in the VLSM. At 3 months postoperatively, selective attention was impaired in patients who underwent resection of these regions. Moreover, only patients with simultaneous damage of the CC zone II and FST had prolonged attentional deficits until the chronic phase. Our results suggest that the right CC zone II and FST are critical areas for the selective attentional networks.

Attitudes towards accounting and intention to major in accounting: a logistic regression analysis

2018 ◽  
Vol 8 (4) ◽  
pp. 459-475 ◽  
Author(s):  
Rita Amoah Bekoe ◽  
Godfred Matthew Yaw Owusu ◽  
Charles Gyamfi Ofori ◽  
Anthony Essel-Anderson ◽  
Edem Emerald Welbeck
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Business Students ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Analysis ◽  
Accounting Profession ◽  
Content Type ◽  
Business Educators ◽  
High Level

PurposeThe purpose of this paper is to examine the attitude of business students towards the accounting profession and investigate the relationship between students’ attitude and their intention to pursue a degree in accounting.Design/methodology/approachA self-administered survey was used to collect data from students from the University of Ghana Business School (UGBS). A total of 457 questionnaires were used in the empirical analysis. A binary logistic regression analysis technique was employed to analyse the data.FindingsThe logistic regression analysis demonstrates that intrinsic interest in the accounting discipline, prior exposure to accounting at the senior high level and the desire to pursue professional accounting qualification in future are good predictors of students’ intention to major in accounting. The results also indicate family members, course instructors and other referent group play a crucial role in influencing students’ intention to pursue a career in accounting.Practical implicationsThe findings of this study have important implications for the professional accountancy body and business educators interested in addressing the skill shortage in the accounting profession.Originality/valueThis study does not only examine students’ attitude towards the accounting discipline but also investigates how such attitudes influence intentions to major in accounting.

Strategic factors predicting the likelihood of youth entrepreneurship in Ghana: a logistic regression analysis

2020 ◽  
Vol 16 (4) ◽  
pp. 389-401
Author(s):  
Obi Berko Obeng Damoah
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Regression Model ◽  
Logistic Regression Analysis ◽  
Research Question ◽  
Economic Benefits ◽  
Content Type ◽  
Analytical Technique ◽  
Youth Entrepreneurship ◽  
Practical Implications

PurposeThe paper sought to make contribution to youth entrepreneurship research field. This is because whilst youth entrepreneurship presents enormous socio-economic benefits, including economic growth, diversification, innovation and poverty elimination earlier research have paid more attention to adults' entrepreneurship with less attention been paid to youth entrepreneurship resulting in a compelling research gap following the present huge youth unemployment across the world. Consequently, the motivation of the paper is to guide public policy and practice on the promotion of youth entrepreneurship, especially in developing countries.Design/methodology/approachThe study employs the survey research design based on logistic regression analysis as the key analytical technique to examine data. The choice of the logistic regression model is due to the fact that the main research question that informs the study is a dichotomous one. Hence it was found appropriate to select the logit regression model based on similar works in the field.FindingsOver all, the results show that lack of financial support from one's family background, early entry into formal employment, as well as being born into entrepreneurial dominated families significantly predict the probability of a youth considering entrepreneurship as an attractive life venture.Research limitations/implicationsThe study is based on non-probability sampling method and so readers must bear that in mind when they are interpreting the results.Practical implicationsFollowing from the findings, one of the practical implications is that youth entrepreneurs must align the external influences to the internal capacity of the businesses to initiate and/or start sustainable entrepreneurial ventures.Originality/valueThe study sheds light from an under-explored and new geographical context to advance existing knowledge in the field.

Role of angiography following aneurysm surgery

1993 ◽  
Vol 79 (6) ◽  
pp. 826-832 ◽  
Author(s):  
R. Loch Macdonald ◽  
M. Christopher Wallace ◽  
John R. W. Kestle
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Neurological Deficit ◽  
Unexpected Finding ◽  
Aneurysm Surgery ◽  
Content Type ◽  
Postoperative Neurological Deficit ◽  
Major Vessel ◽  
Fine Print

✓ The postoperative angiograms in 66 patients who underwent craniotomy for clipping of 78 cerebral aneurysms were reviewed. Indications for urgent postoperative angiography included neurological deficit or repeat subarachnoid hemorrhage. Routine postoperative angiograms were carried out in the remaining patients. Postoperative angiograms were reviewed to determine the incidence of unexpected findings such as unclipped aneurysms, residual aneurysms, and unforeseen major vessel occlusions. Logistic regression analysis was used to test if the following were factors that predicted an unexpected finding on postoperative angiography: aneurysm site or size; the intraoperative impression that residual aneurysm was left or a major vessel was occluded; intraoperative aneurysm rupture; opening or needle aspiration of the aneurysm after clipping; or development of a new neurological deficit after surgery. Kappa values were calculated to assess the agreement between some of these clinical factors and unexpected angiographic findings. Unexpected residual aneurysms were seen in three (4%) of the 78 occlusions. In addition, three aneurysms were completely unclipped (4%); these three patients were returned to the operating room and had their aneurysms successfully obliterated. There were nine unexpected major vessel occlusions (12%); six of these resulted in disabling stroke and two patients died. Of six major arteries considered to be occluded intraoperatively and shown to be occluded by postoperative angiography, two were associated with cerebral infarction. Logistic regression analysis showed that a new postoperative neurological deficit predicted an unforeseen vessel occlusion on postoperative angiography. Factors could not be identified that predicted unexpected residual aneurysm or unclipped aneurysm. The inability to predict accurately the presence of residual or unclipped aneurysm suggests that all patients should undergo postoperative angiography. Since a new postoperative neurological deficit is one factor predicting unexpected arterial occlusion, intraoperative angiography may be necessary to help reduce the incidence of stroke after aneurysm surgery. With study of more patients or of factors not examined in this series, it may be possible to select cases more accurately for intraoperative or postoperative angiography.

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