Who commits? Who engages?

2018 ◽  
Vol 40 (1) ◽  
pp. 23-42 ◽  
Author(s):  
John Sutherland
Keyword(s):  
Design Methodology ◽  
Personal Characteristics ◽  
Series Data ◽  
Statistical Methodology ◽  
Cross Sectional ◽  
Data Set ◽  
Content Type ◽  
Ordered Logit Model ◽  
Survey Instruments ◽  
The Individual

Purpose The purpose of this paper is to address two questions: who commits? And who engages? For example, does an individual’s likelihood of committing/engaging vary with his/her age; or with the level of his/her qualifications; or with his/her occupation? Of what consequences are the characteristics of the workplace at which the individual is employed? Design/methodology/approach The investigation uses the Skills and Employment Surveys Series Data set to construct the indicators of commitment and engagement. Using an ordered-logit model and an OLS model, these indicators are analysed to identify their covariates. Findings Who commits and who engages depends upon the indicator used to measure the attitude/behaviour in question. Changing these indicators sometimes means that an individual no longer commits/engages. Further, even for the same indicator of commitment/engagement, who commits/engages varies across individuals. Research limitations/implications The indicators of commitment and engagement examined are derived from the responses in a pre-existing data set which has its origins in survey instruments which had quite comprehensive terms of reference. Owning to the cross-sectional nature of this data set and the statistical methodology applied, the statistical results are correlations between some possible indicators of commitment and engagement and some variables which denote the personal characteristics of individuals and the characteristics of the organisations with which they are employed. Causation cannot be inferred from these correlations. Originality/value Commitment and engagement are central to many models of the management of human resources. However, the likelihood that an individual commits and/or engages differs across the workforce has rarely been examined. This paper addresses this research lacuna using a data set which is rich in detail about an individual’s personal characteristics.

Employee well-being in Britain: perspectives from the margins of the labour market

2017 ◽  
Vol 44 (12) ◽  
pp. 2378-2395
Author(s):  
John Sutherland
Keyword(s):  
Labour Market ◽  
Design Methodology ◽  
Personal Characteristics ◽  
Well Being ◽  
Series Data ◽  
Data Set ◽  
Content Type ◽  
Positive Experiences ◽  
The Subject ◽  
Time To Learn

Purpose The purpose of this paper is to examine the employee well-being from the perspectives of: first, individuals who have personal characteristics stereotypically associated with employment at the margins of the labour market and second, of individuals employed in jobs stereotypically associated with jobs at the margins of the labour market. Design/methodology/approach A set of OLS regressions is used to analyse a data set which has its origins in the Skills and Employment Surveys Series Data Set. Findings The expectation was that, for the individuals identified, their well-being as measured by a series of indicators would be relatively low. This proved to be not always the case. To illustrate: individuals without qualifications (relative to those who possess qualifications) reported positive experiences of well-being; and individuals in jobs which took little time to master (relative to those in jobs which took time to learn) also reported positive experiences of well-being. Research limitations/implications The subjective indicators of employee well-being available from the data set offer only a partial psychological perspective of the concept. Originality/value Although the subject of employee well-being is well-researched, this paper focusses upon an increasingly prevalent group of workers within the labour market, often described as “disadvantaged” (or, using Standing’s terminology, the “precariat”). Furthermore, it reports some outcomes which do not conform to the conventional wisdom.

scholarly journals Negative equity in Ireland: estimates using loan-level data

2014 ◽  
Vol 7 (3) ◽  
pp. 327-344 ◽  
Author(s):  
David Duffy ◽  
Niall O’Hanlon
Keyword(s):  
Design Methodology ◽  
Time Series Data ◽  
House Prices ◽  
Age Groups ◽  
Series Data ◽  
Data Set ◽  
Content Type ◽  
Equity Analysis ◽  
Level Data ◽  
Younger Age

Purpose – This paper aims to, using a unique loan-level data set, show the extent to which negative equity in Ireland is concentrated in younger age groups. The sharp decline in house prices since 2007 has led to the emergence of widespread negative equity in Ireland. However, little is known about the type of borrower experiencing negative equity. Design/methodology/approach – This paper uses a unique data set that, for a large sample of mortgages, provides details on both the characteristics of the borrowers and their mortgages. Using this data set, the paper estimates the incidence of negative equity by analysing loans taken out to purchase a primary residence in the period 2005-2012. Findings – The analysis finds the situation in Ireland to be much more severe than that being experienced in other housing market downturns at present, with 64 per cent of borrowers in the period 2005-2012 experiencing negative equity. Analysis by age gives rise to concern, with the majority of those in negative equity aged under 40 years. The paper also points to the large wealth loss experienced by Irish households, in the order of 43 billion, as a result of the fall in property values. Originality/value – The paper is one of the first using loan-level time-series data in Ireland. It highlights the growth in negative equity during the crisis and the extent to which it is concentrated in the younger age groups. It also provides an estimate of the loss in wealth suffered by all households due to the fall in Irish house prices.

scholarly journals The politics of the executive, legislative veto players and foreign debt

2019 ◽  
Vol 3 (2) ◽  
pp. 82-99
Author(s):  
Seung-Whan Choi ◽  
Shali Luo
Keyword(s):  
Design Methodology ◽  
Time Series Data ◽  
Foreign Debt ◽  
Series Data ◽  
Curvilinear Relationship ◽  
Cross Sectional ◽  
Content Type ◽  
Legislative Veto ◽  
Time Series Data Analysis ◽  
Curvilinear Effect

Purpose The purpose of this paper is to examine a curvilinear effect of legislative constraints on foreign debt. Design/methodology/approach A cross-sectional, time-series data analysis of 68 developing countries during the period from 1981 to 1999 was performed. Findings Foreign borrowing is most likely to increase at both low and high levels of legislative constraints, while it is most likely to decrease at moderate levels. Originality/value The paper is a first-cut empirical analysis of a curvilinear relationship between legislative constraints and foreign debt.

scholarly journals Providing a piece of the puzzle: insights into the aircraft availability conundrum

2019 ◽  
Vol 3 (1) ◽  
pp. 29-40
Author(s):  
Jonathan D. Ritschel ◽  
Tamiko L. Ritschel ◽  
Nicole B. York
Keyword(s):  
Regression Analysis ◽  
Air Force ◽  
Design Methodology ◽  
Stepwise Regression ◽  
Moderate Correlation ◽  
Data Set ◽  
Content Type ◽  
Fleet Size ◽  
Operational Readiness ◽  
The Individual

Purpose Aircraft availability (AA) is a key metric for assessing operational readiness. The declining trend in AA is a documented concern for senior Air Force leaders. This paper aims to investigate the components of non-available time and subsequently focuses on the largest and fastest growing category: not mission capable maintenance unscheduled (NMCMU). Then, utilization of aircraft platforms is examined to determine the readiness benefits of increasing available hours. Design/methodology/approach Stepwise regression is conducted on a data set of 30 aircraft platforms, consisting of 542 observations from 1998 to 2017, to reveal drivers of NMCMU. Next, utilization of aircraft platforms is examined through regression and correlation analysis of aircraft platforms and sorties or hours flown. Findings Regression analysis reveals drivers of NMCMU include platform type, average age of aircraft, fleet size, breaks and cannibalization. These factors explain 80.6 per cent of the variance in the data set when predicting NMCMU. Additionally, the utilization results show that when more hours are made available, 5 per cent of each new hour is used for flying. Further analysis at the individual platform level finds a strong or moderate correlation between available hours and sorties flown for 93 per cent of the platforms. Originality/value Implications from the regression analysis demonstrate there are remedies to increase AA, but many of these remedies may be costly. The utilization analysis expresses the potential readiness benefits of increasing available hours.

Financial distress determinants among SMEs: empirical evidence from Sweden

2020 ◽  
Vol 47 (3) ◽  
pp. 547-560 ◽  
Author(s):  
Darush Yazdanfar ◽  
Peter Öhman
Keyword(s):  
Financial Crisis ◽  
Financial Distress ◽  
Large Scale ◽  
Global Financial Crisis ◽  
Binary Logistic Regression ◽  
Data Availability ◽  
Cross Sectional ◽  
Data Set ◽  
Content Type ◽  
The Global Financial Crisis

PurposeThe purpose of this study is to empirically investigate determinants of financial distress among small and medium-sized enterprises (SMEs) during the global financial crisis and post-crisis periods.Design/methodology/approachSeveral statistical methods, including multiple binary logistic regression, were used to analyse a longitudinal cross-sectional panel data set of 3,865 Swedish SMEs operating in five industries over the 2008–2015 period.FindingsThe results suggest that financial distress is influenced by macroeconomic conditions (i.e. the global financial crisis) and, in particular, by various firm-specific characteristics (i.e. performance, financial leverage and financial distress in previous year). However, firm size and industry affiliation have no significant relationship with financial distress.Research limitationsDue to data availability, this study is limited to a sample of Swedish SMEs in five industries covering eight years. Further research could examine the generalizability of these findings by investigating other firms operating in other industries and other countries.Originality/valueThis study is the first to examine determinants of financial distress among SMEs operating in Sweden using data from a large-scale longitudinal cross-sectional database.

Do information technology (IT) capabilities affect hotel competitiveness?

2020 ◽  
Vol 11 (3) ◽  
pp. 447-460
Author(s):  
Nan Hua
Keyword(s):  
Design Methodology ◽  
Financial Data ◽  
Content Type ◽  
It Systems ◽  
Study Results ◽  
It Capabilities ◽  
The Usa ◽  
Lagged Effects ◽  
The Individual ◽  
Direct Measures

Purpose This paper aims to examine the impacts of IT capabilities on hotel competitiveness. Design/methodology/approach This study adapts and extends Hua et al. (2015) and O’Neill et al. (2008) by incorporating the specific measures of IT expenditures as proxies for the relevant IT capabilities to explore the impacts of IT capabilities on hotel competitiveness. Findings This study finds that expenditures on IT Labor, IT Systems and IT Websites exert different impacts on hotel competitiveness. In addition, IT capabilities exert both contemporary and lagged effects on hotel competitiveness. Originality/value This study is the first that uses financial data to capture direct measures of individual IT capabilities and tests the individual impacts of IT capabilities on hotel competitiveness from both contemporaneous and lagged perspectives. It uses a large same store sample of hotels in the USA from 2011 to 2017; as a result, the study results can be reasonably representative of the hotel population in the USA.

scholarly journals A surrogate-based generic classifier for Chinese TV series reviews

2017 ◽  
Vol 45 (2) ◽  
pp. 66-74
Author(s):  
Yufeng Ma ◽  
Long Xia ◽  
Wenqi Shen ◽  
Mi Zhou ◽  
Weiguo Fan
Keyword(s):  
Design Methodology ◽  
Experimental Result ◽  
Digital Information ◽  
Data Set ◽  
Content Type ◽  
Category Labels ◽  
Information Supply Chain ◽  
Feature Selection Techniques ◽  
Practical Implications

Purpose The purpose of this paper is automatic classification of TV series reviews based on generic categories. Design/methodology/approach What the authors mainly applied is using surrogate instead of specific roles or actors’ name in reviews to make reviews more generic. Besides, feature selection techniques and different kinds of classifiers are incorporated. Findings With roles’ and actors’ names replaced by generic tags, the experimental result showed that it can generalize well to agnostic TV series as compared with reviews keeping the original names. Research limitations/implications The model presented in this paper must be built on top of an already existed knowledge base like Baidu Encyclopedia. Such database takes lots of work. Practical implications Like in digital information supply chain, if reviews are part of the information to be transported or exchanged, then the model presented in this paper can help automatically identify individual review according to different requirements and help the information sharing. Originality/value One originality is that the authors proposed the surrogate-based approach to make reviews more generic. Besides, they also built a review data set of hot Chinese TV series, which includes eight generic category labels for each review.

Risk-based capital regulation revisited: evidence from the early 2000s

2015 ◽  
Vol 23 (2) ◽  
pp. 115-134 ◽  
Author(s):  
Thomas L. Hogan ◽  
Neil R. Meredith ◽  
Xuhao (Harry) Pan
Keyword(s):  
Design Methodology ◽  
Banking Regulation ◽  
Bank Performance ◽  
Capital Regulation ◽  
Data Set ◽  
Content Type ◽  
Future Performance ◽  
Capital Ratios ◽  
Using Data ◽  
Capital Regulations

Purpose – The purpose of this study is to replicate Avery and Berger’s (1991) analysis using data from 2001 through 2011. Although risk-based capital (RBC) regulation is a key component of US banking regulation, empirical evidence of the effectiveness of these regulations has been mixed. Among the first studies of RBC regulation, Avery and Berger (1991) provide evidence from data on US banks that new RBC regulations outperformed old capital regulations from 1982 through 1989. Design/methodology/approach – Using data from the Federal Reserve’s Call Reports, the authors compare banks’ capital ratios and RBC ratios to five measures of bank performance: income, standard deviation of income, non-performing loans, loan charge-offs and probability of failure. Findings – Consistent with Avery and Berger (1991), the authors find banks’ risk-weighted assets to be significant predictors of their future performance and that RBC ratios outperform regular capital ratios as predictors of risk. Originality/value – The study improves on Avery and Berger (1991) by using an updated data set from 2001 through 2011. The authors also discuss some potential limitations of this method of analysis.

Examining the influence of mindfulness on organizational role stress (ORS): a monitor acceptance theory perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Uma Warrier ◽  
Cyril Foropon ◽  
Melinda Chehimi
Keyword(s):  
Design Methodology ◽  
Negative Relationship ◽  
Role Stress ◽  
Role Overload ◽  
Cross Sectional ◽  
Content Type ◽  
Organizational Role ◽  
It Organization ◽  
Context Specific ◽  
Personal Inadequacy

PurposeThe purpose of this paper is to examine the influence of mindfulness on organizational role stress (ORS) based on the Monitor Acceptance Theory (MAT) perspective.Design/methodology/approachThis study is based on a cross-sectional data analysis collected from 137 employees working at an Indian IT organization located in Bangalore (India). ORS and MAAS scales have been used for measuring ORS and mindfulness, respectively.FindingsOverall, the study findings have indicated a negative relationship (r = −0.588) between mindfulness (M) and ORS. First, both personal inadequacy (PI) and self-role distance (SRD) are found to be predominantly impacted by M, whereas both role erosion (RE) and role overload (RO) appear to be less affected by mindfulness. Second, SRD appears to be the highest ORS sub-dimension among IT employees. Third, building on the extant literature, it can be inferred that “no one size fits all”, ORS is both organization and context specific.Originality/valueThis study pioneers to establish empirical evidence between M and ORS. Training employees on M can help in effectively handling ORS.

The impact of the COVID-19 pandemic on autistic adults – a survey

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Conor James Davidson ◽  
Keri Lodge ◽  
Alwyn Kam
Keyword(s):  
Coping Strategies ◽  
Design Methodology ◽  
Online Survey ◽  
Negative Impact ◽  
Significant Deterioration ◽  
Cross Sectional ◽  
Content Type ◽  
Autistic People ◽  
Autistic Adults ◽  
The Impact

Purpose To date there has been limited research on the impact of the COVID-19 pandemic on autistic people. This study aims to present the results of a survey of autistic people (n = 51) conducted by a UK specialist autism team. Design/methodology/approach A cross-sectional online survey. Findings A total of 72% respondents reported either some or significant deterioration in mental health during the pandemic. The issues that caused most negative impact were uncertainty over what will happen next and disruption of normal routine. Respondents reported a variety of coping strategies to help them through the pandemic. Originality/value To date there has been little research looking specifically at the impact of the COVID-19 pandemic on autistic people. This paper adds weight to the evidence that the pandemic has had a particularly severe impact on autistic adults and includes useful information on potential coping strategies for this population.

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