scholarly journals Translating emotional insights from hospitality employees’ comments

2018 ◽  
Vol 32 (1) ◽  
pp. 75-92 ◽  
Author(s):  
Lisa M. Young ◽  
Swapnil Rajendra Gavade
Keyword(s):  
Job Satisfaction ◽  
Sentiment Analysis ◽  
Big Data Analytics ◽  
Large Data ◽  
Hospitality Management ◽  
Data Set ◽  
Employee Survey ◽  
Content Type ◽  
Employee Job Satisfaction ◽  
The Usa

PurposeThe purpose of this paper is to use the data analysis method of sentiment analysis to improve the understanding of a large data set of employee comments from an annual employee job satisfaction survey of a US hospitality organization.Design/methodology/approachSentiment analysis is used to examine the employee comments by identifying meaningful patterns, frequently used words and emotions. The statistical computing language, R, uses the sentiment analysis process to scan each employee survey comment, compare the words with the predefined word dictionary and classify the employee comments into the appropriate emotion category.FindingsEmployee responses written in English and in Spanish are compared with significant differences identified between the two groups, triggering further investigation of the Spanish comments. Sentiment analysis was then conducted on the Spanish comments comparing two groups, front-of-house vs back-of-house employees and employees with male supervisors vs female supervisors. Results from the analysis of employee comments written in Spanish point to higher scores for job sadness and anger. The negative comments referred to desires for improved healthcare, requests for increased wages and frustration with difficult supervisor relationships. The findings from this study add to the growing body of literature that has begun to focus on the unique work experiences of Latino employees in the USA.Originality/valueThis is the first study to examine a large unstructured English and Spanish text database from a hospitality organization’s employee job satisfaction surveys using sentiment analysis. Applying this big data analytics process to advance new insights into the human capital aspects of hospitality management is intriguing to many researchers. The results of this study demonstrate an issue that needs to be further investigated particularly considering the hospitality industry’s employee demographics.

Corporate lawyers in the USA: pathway to gender parity?

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alicia R. Ingersoll ◽  
Christy Glass ◽  
Alison Cook
Keyword(s):  
Wage Gap ◽  
Large Data ◽  
Gender Disparities ◽  
Law Firms ◽  
Data Set ◽  
Public Companies ◽  
Content Type ◽  
Representation Of Women ◽  
Gender Parity ◽  
The Usa

Purpose The current study aims to analyze the connection between gender disparities and employment in senior legal roles within large American firms. Specifically, this study seeks to uncover whether legal positions in large corporations reproduce inequalities in representation and wages, or whether these roles provide women with a pathway to greater gender parity. Design/methodology/approach Investigating a large data set of over 2,000 USA public companies over a ten-year period, this study examines the representation of women in senior legal roles, the likelihood of women’s appointment to those roles as a function of the gender composition of the industry and if a wage gap exists between men and women serving in the top legal roles in corporate America. Findings Findings suggest that rather than moving women closer to gender parity, in-house counsel positions reproduce many of the same inequalities found in large law firms, particularly with regard to representation in senior ranks and compensation. Originality/value Research has illustrated that women experience disadvantage in terms of representation, wages and advancement in large law firms and in corporate executive suites. Women lawyers who occupy senior executive roles, however, may benefit relative to their non-legal counterparts given their education and expertise. Their credentials and relative status may contribute in reducing or eliminating gender disparities. This study extends current research by investigating this potential path to greater gender equality.

The effect of actual workplace learning on job satisfaction and organizational commitment

2019 ◽  
Vol 31 (8) ◽  
pp. 481-497 ◽  
Author(s):  
Geunpil Ryu ◽  
Seong-Gin Moon
Keyword(s):  
Job Satisfaction ◽  
Organizational Commitment ◽  
Human Resource Development ◽  
Workplace Learning ◽  
Learning Experience ◽  
Work Attitudes ◽  
Moderating Effect ◽  
Data Set ◽  
Content Type ◽  
Learning Programs

Purpose This study aims to examine the effect of workplace learning experience and intrinsic learning motive on job satisfaction and organizational commitment. In addition, the study examined the moderating effect of intrinsic learning motives on the relationship between learning experience and job satisfaction and organizational commitment. Design/methodology/approach The current research used the Human Capital Corporate Panel survey data set, which aimed to explore how human resource development practices influence corporate performance. In all, 10,003 samples from 441 companies were used for data analysis. Findings Results indicate that taking part in workplace learning programs positively affects job satisfaction and organizational commitment. Likewise, intrinsic learning motives are also positively related to work attitudes. However, no interaction effect between the intrinsic learning motive and the learning experience was found, which may imply that an autonomous extrinsic learning motive is a better predictor for explaining job satisfaction than is a purely intrinsic learning motive within an organizational context. Originality/value Little research has examined the actual effect of workplace learning programs on employees’ attitudes regarding job satisfaction and organizational commitment. Furthermore, to the authors’ knowledge, no research has examined the moderating effect of intrinsic learning motive with workplace learning experience on employees’ positive work attitudes.

User password repetitive patterns analysis and visualization

2016 ◽  
Vol 24 (1) ◽  
pp. 93-115 ◽  
Author(s):  
Xiaoying Yu ◽  
Qi Liao
Keyword(s):  
Security Policy ◽  
Large Data ◽  
Efficient Algorithms ◽  
Privacy And Security ◽  
Data Set ◽  
Web Based ◽  
Content Type ◽  
Word Cloud ◽  
Individual Privacy ◽  
Password Security

Purpose – Passwords have been designed to protect individual privacy and security and widely used in almost every area of our life. The strength of passwords is therefore critical to the security of our systems. However, due to the explosion of user accounts and increasing complexity of password rules, users are struggling to find ways to make up sufficiently secure yet easy-to-remember passwords. This paper aims to investigate whether there are repetitive patterns when users choose passwords and how such behaviors may affect us to rethink password security policy. Design/methodology/approach – The authors develop a model to formalize the password repetitive problem and design efficient algorithms to analyze the repeat patterns. To help security practitioners to analyze patterns, the authors design and implement a lightweight, Web-based visualization tool for interactive exploration of password data. Findings – Through case studies on a real-world leaked password data set, the authors demonstrate how the tool can be used to identify various interesting patterns, e.g. shorter substrings of the same type used to make up longer strings, which are then repeated to make up the final passwords, suggesting that the length requirement of password policy does not necessarily increase security. Originality/value – The contributions of this study are two-fold. First, the authors formalize the problem of password repetitive patterns by considering both short and long substrings and in both directions, which have not yet been considered in past. Efficient algorithms are developed and implemented that can analyze various repeat patterns quickly even in large data set. Second, the authors design and implement four novel visualization views that are particularly useful for exploration of password repeat patterns, i.e. the character frequency charts view, the short repeat heatmap view, the long repeat parallel coordinates view and the repeat word cloud view.

Modeling debt choice in agriculture: the effect of endogenous asset values

2017 ◽  
Vol 77 (1) ◽  
pp. 95-110 ◽  
Author(s):  
Maria Bampasidou ◽  
Ashok K. Mishra ◽  
Charles B. Moss
Keyword(s):  
Panel Data ◽  
Interest Rate ◽  
Agricultural Sector ◽  
Macroeconomic Policy ◽  
Rate Of Return ◽  
Data Set ◽  
Content Type ◽  
Asset Values ◽  
The Usa ◽  
Non Parametric

Purpose The purpose of this paper is to investigate the endogeneity of asset values and how it relates to farm financial stress in US agriculture. The authors conceptualize an implied measure of farm financial stress as a function of debt position. The authors posit that there are variations in the asset values that are beyond the farmer’s control and therefore have implications on farm debt. Design/methodology/approach The framework recognizes the endogeneity of return on assets (ROA). It uses a non-parametric technique to approximate the variance of expected ROA (VEROA). The authors model the rate of return on agricultural assets and interest rate with a formulation that focuses on macroeconomic policy. Further, the authors use a dynamic balanced panel data set from 1960 to 2011 for 15 US agricultural states from the Agricultural Resource Management Survey, and information from traditional state-level financial statements. Findings Estimation of linear dynamic debt panel data models accounting for the endogeneity of ROA and VEROA is a challenging task. Estimated variances are unstable. Hence, the authors focus on variance specification that uses the residuals squared from the ARIMA specification and non-parametric estimators. Arellano-Bover/Blundell-Bond generalized method of moments estimation procedures, although may be biased, show that VEROA has a negative and significant effect on the total amount of debt in the agricultural sector. Research limitations/implications The instruments used in this analysis are lagged regressors which may be weakly correlated with the relevant first-order condition, hence not properly identifying the parameters of interest. Future research could include the identification of better instruments, potentially use of sequential moment conditions. Originality/value Unlike previous study, the authors use non-parametric approximation of VEROA. The authors model the rate of return on agricultural assets and interest rate with a formulation that focuses on macroeconomic policy. Second, the authors make use of a large dynamic balanced panel data set from 1960 to 2011 for 15 agricultural states in the USA. To the best of the authors’ knowledge, this study is one of the few that provides evidence on risk-balancing behavior at the agricultural sector level, of the USA.

The relationship between risk, capital and efficiency in Indian banking: Does ownership matter?

2019 ◽  
Vol 11 (2) ◽  
pp. 218-231
Author(s):  
Sanjukta Sarkar ◽  
Rudra Sensarma ◽  
Dipasha Sharma
Keyword(s):  
Public Sector ◽  
Credit Risk ◽  
Large Data ◽  
Foreign Banks ◽  
Risk Capital ◽  
Lower Efficiency ◽  
Data Set ◽  
Content Type ◽  
Balance Sheets ◽  
Indian Banks

Purpose This paper aims to examine the interplay between risk, capital and efficiency of Indian banks and study how their relationship differs across different ownership types. Design/methodology/approach Panel regression techniques are used to analyze a large data set of all Indian scheduled commercial banks operating during the period 2008-2016. Findings The results show that lower efficiency is associated with higher credit risk in the case of public sector and old private sector banks (”bad management hypothesis”). However, higher efficiency leads to higher credit risk in the case of foreign banks (“cost skimping hypothesis”). The authors further find that the more efficient institutions among public sector hold more capital. Finally, they find that the better-capitalized banks among those in the public sector have lower risks on their balance sheets (“moral hazard hypothesis”). Originality/value There is a paucity of papers on the interplay between risk, capital and efficiency of banks in emerging economies. This paper is the first to study the inter-relationship between risk, capital and efficiency of Indian banks across ownership groups using a number of different measures of risk.

The impact of emotional intelligence and servant leadership on employee job satisfaction

2021 ◽  
Vol 13 (2) ◽  
pp. 205-217
Author(s):  
Pallavi Jha ◽  
Sanjay Bhattacharya
Keyword(s):  
Job Satisfaction ◽  
Emotional Intelligence ◽  
Servant Leadership ◽  
Positive Impact ◽  
Pearson Correlation ◽  
Work Productivity ◽  
Content Type ◽  
Significance Level ◽  
Employee Job Satisfaction ◽  
The Impact

Purpose The concept of emotional intelligence (EI) and servant leadership (SL) are two variables that have been essential for the organization leaders to ensure a healthy and happy work–life for their subordinates. The purpose of this study to be conducted was for leaders understand the role EI and SL play in maintaining employee job satisfaction and help them to create engaging environment and bring effectiveness in the work productivity of the assets. Design/methodology/approach Quantitative method was used and a total of 150 people were taken as a sample which consisted of several leaders and their subordinates and an emotional intelligence questionnaire by NHS and SL: multidimensional questionnaire was floated to rate the leaders EI and SL behavior comparing it with the leaders self-rating. The result was analyzed using SPSS, Pearson correlation and regression was used to understand the significance level and reliability of all the independent and dependent variables, respectively. Findings Through correlation and regression, it was found that presence of EI and SL style in a leader plays a huge role in employee job satisfaction. It was also found that EI and SL are the substantial predictor which have positive impact over employee job satisfaction. Originality/value The outcome of the study will help the leaders understand the significance that the EI and SL have in their role to maintain employee job satisfaction, as well as the training and development measures for leaders.

A meta-analysis of the variables related to turnover intention among IT personnel

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ahmet Hakan Özkan
Keyword(s):  
Job Satisfaction ◽  
Organizational Commitment ◽  
Effect Size ◽  
Turnover Intention ◽  
Meta Analysis ◽  
It Industry ◽  
Data Set ◽  
Content Type ◽  
It Personnel ◽  
The Relationship

PurposeThis study aims to investigate the relationships between job satisfaction, organizational commitment and turnover intention of information technology (IT) personnel.Design/methodology/approach3,844 studies which are published between 1998 and 2019 are screened on ScienceDirect, Scopus and ProQuest databases. 10,523 subjects formed the first data set regarding the relationship between job satisfaction and turnover intention, 7,903 subjects formed the second data set regarding the relationship between organizational commitment and turnover intention, 843 subjects formed the third data set regarding the relationship between empowerment and turnover intention, and 3,430 subjects formed the fourth data set regarding the relationship between job satisfaction and organizational commitment.FindingsResults showed that the effect size of the relationship between job satisfaction and organizational commitment is the strongest (r = 0.59). The effect size of the relationship between job satisfaction and turnover intention (r = −0.50), and the effect size of the relationship between organizational commitment and turnover intention r = −0.51) were also large. But the effect size of the relationship between empowerment and turnover intention was medium (r = −0.34).Originality/valueThis study is rare, and it can be used by the managers working in the IT industry.

Which professional skills value more under digital transformation?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sofia Paklina ◽  
Elena Shakina
Keyword(s):  
Text Mining ◽  
Labour Market ◽  
Empirical Evidence ◽  
Labour Force ◽  
Sample Selection ◽  
Large Data ◽  
Hedonic Pricing ◽  
Data Set ◽  
Content Type ◽  
Computing Skills

PurposeThis study seeks to explore the demand side of the labour market influenced by the digital revolution. It aims at identifying the new composition of skills and their value as implicitly manifested by employers when they look for the new labour force. The authors analyse the returns to computing skills based on text mining techniques applied to the job advertisements.Design/methodology/approachThe methodology is based on the hedonic pricing model with the Heckman correction to overcome the sample selection bias. The empirical part is based on a large data set that includes more than 9m online vacancies on one of the biggest job boards in Russia from 2006 to 2018.FindingsEmpirical evidence for both negative and positive returns to computing skills and their monetary values is found. Importantly, the authors also have found both complementary and substitutional effects within and between non-domain (basic) and domain (advanced) subgroups of computing skills.Originality/valueApart from the empirical evidence on the value of professional computing skills and their interrelations, this study provides the important methodological contribution on applying the hedonic procedure and text mining to the field of human resource management and labour market research.

Knowledge management and social entrepreneurship education: lessons learned from an exploratory two-country study

2019 ◽  
Vol 23 (10) ◽  
pp. 1984-2006 ◽  
Author(s):  
George Thomas Solomon ◽  
Nawaf Alabduljader ◽  
Ravi S. Ramani
Keyword(s):  
Knowledge Management ◽  
Social Entrepreneurship ◽  
Social Issues ◽  
Entrepreneurship Education ◽  
Growth Potential ◽  
Data Set ◽  
Content Type ◽  
Course Offerings ◽  
The Future ◽  
The Usa

Purpose Social entrepreneurship courses are among the fastest growing category of course offerings to entrepreneurship students (Brock and Kim, 2011) because both high growth potential- and steady growth-social ventures can create value and help solve social issues effectively and efficiently. As knowledge disseminators, entrepreneurship educators are in prime position to develop the knowledge, skills and abilities of students, which, in turn, increases their intentions to start a social venture and their ability to manage and grow their venture. Students gain an understanding about the role of entrepreneurship in addressing social opportunities, as well as knowledge related to starting, managing and growing social entrepreneurship ventures. This paper is divided into three parts. First, the authors broadly discuss the concept of social entrepreneurship. Second, the authors present an overview of the field of social entrepreneurship education (SEE) and its evolution. Finally, the authors supplement this review with an analytical examination of SEE, in which the authors present results of a cross-country analysis survey of over 200 entrepreneurship education programs in the USA and Canada. This paper aims to present information about: student enrollment in social entrepreneurship courses in comparison to other entrepreneurship courses; the frequency of offering social entrepreneurship courses and programs compared to other entrepreneurship courses and programs; and future trends in SEE. The results revealed a strong demand for social entrepreneurship from students, room for improvement in terms of the supply of course offerings, and a strong belief in the continued growth of social entrepreneurship. The authors conclude with suggestions about the future of SEE. Design/methodology/approach Analysis of secondary data derived from the oldest and most-frequently cited sources regarding entrepreneurship education in the USA and a novel data set examining entrepreneurship education in Canada. Both data sets were collected using an online self-report survey. Findings Demand for SEE continues to rise in both the USA and Canada. However, course and program offerings have not kept pace. Prominent trends in social entrepreneurship such as cross-campus programs and addressing the evolving demographics of students in higher education institutions need more attention. Originality/value A cross-cultural study of SEE that provides a high-level view of the state of the field today. In addition, the paper outlines the potential of the field of knowledge management for the future of SEE.

Increasing employee job satisfaction

2020 ◽  
Vol 34 (4) ◽  
pp. 53-55
Keyword(s):  
Job Satisfaction ◽  
Design Methodology ◽  
Critical Role ◽  
Supervisor Support ◽  
Content Type ◽  
Employee Job Satisfaction ◽  
Work Atmosphere ◽  
Pertinent Information ◽  
The Impact ◽  
Practical Implications

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings Job satisfaction plays a critical role in the retention of key talent. Firms can enhance prospects by creating a work environment that incorporates a positive atmosphere. Both supervisor support and potential for career development help optimize the impact of work atmosphere on employee job satisfaction levels. Originality/value The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

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