Measuring the use of human resources practices and employee attitudes

2016 ◽  
Vol 4 (2) ◽  
pp. 94-115 ◽  
Author(s):  
Patrick Kampkötter ◽  
Jens Mohrenweiser ◽  
Dirk Sliwka ◽  
Susanne Steffes ◽  
Stefanie Wolter

Purpose – The purpose of this paper is to introduce a new data source available for researchers with interest in human resources management (HRM) and personnel economics, the Linked Personnel Panel (LPP). Design/methodology/approach – The LPP is a longitudinal and representative employer-employee data set covering establishments in Germany and a subset of their workforce and is designed for quantitative empirical human resource research. Findings – The LPP employee survey applies a number of established scales to measure job characteristics and job perceptions, personal characteristics, employee attitudes towards the organization and employee behaviour. This paper gives an overview of both the employer and employee survey and outlines the definitions, origins, and statistical properties of the scales used in the individual questionnaire. Practical implications – The paper describes how researchers can access the data. Originality/value – First, the data set combines employer and employee surveys that can be matched to each other. Second, it can also be linked to a number of additional administrative data sets. Third, the LPP covers a wide range of firms and workers from different backgrounds. Finally, because of its longitudinal dimension, the LPP should facilitate the study of causal effects of HRM practices.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Martinson Ankrah Twumasi ◽  
Yuansheng Jiang ◽  
Salina Adhikari ◽  
Caven Adu Gyamfi ◽  
Isaac Asare

PurposeThis paper aims to examine the determinants of rural dwellers financial literacy in Ghana.Design/methodology/approachA cross-sectional primary data set was used to estimate the factors influencing rural farm households' financial literacy using the IV-Tobit model.FindingsThe findings reveal that most rural residents are financially illiterate. The econometrics model results depicted that respondents' socioeconomic and demographic characteristics such as gender, income, age and education significantly affect financial literacy. Again, respondents who are risk seekers and listen or watch education programs are more likely to be financially literate.Research limitations/implicationsThe paper examined the determinants of rural dwellers financial literacy in four regions in Ghana. Future research should consider all or many regions for an informed generalization of findings.Practical implicationsThis paper provides evidence that rural dwellers are financially illiterate and it would require the policymakers or non-governmental organizations (NGOs) to establish a village or community group that comprises a wide range of bankers and government officials to help rural dwellers acquire some financial skills. Also, the positive relationship between media (whether respondent watches or listens to educational programs) and financial literacy implies that policymakers should focus on improving individuals' financial knowledge through training programs and utilize the media as a channel to propagate financial education to the public.Originality/valueAlthough previous studies have examined the determinants of financial literacy, little is known in developing countries and, in particular, rural communities. The authors fill this gap by contributing to the scanty existing literature in developing countries in several ways. First, this is the first study to examine the financial literacy level of rural dwellers in Ghana. Second, to not undermine the credibility of the estimation results, this study addresses the potential endogeneity issue, which other researchers have not adequately recognized. Finally, the study expands the scant literature on the subject and provides critical policy implications that will help policymakers formulate financial market policies that will contribute to rural dwellers financial literacy enhancement.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Simona Popa ◽  
Pedro Soto-Acosta ◽  
Daniel Palacios-Marqués

Purpose This paper aims to examine the effect of technological, organizational and environmental factors on the level of innovation outcomes in manufacturing small- and medium-sized enterprises (SMEs). Design/methodology/approach Drawing on the technology-organization-environment theory this paper conducts a discriminant analysis of firms’ innovation level based on a data set of manufacturing SMEs. Findings The results show that low- and high-innovative firms can be distinguished in terms of information technology (IT) knowledge and infrastructure, commitment-based human resources (HR) selection practices, exploitative innovation and organizational capital. Practical implications The study findings support the idea that innovation is a complex phenomenon explained by multiple factors. As a consequence, firms need to devote extra efforts to develop IT knowledge and infrastructure, commitment-based HR selection practices and organizational capital because these are crucial for obtaining greater innovation outcomes. In addition, the identification of exploitative innovation as a strong discriminant variable highlights that the most effective way to be a highly innovative SME is through incremental innovation, which permits the firm to capitalize as much as possible on previous exploratory efforts. Originality/value Although many studies have highlighted that innovation is more challenging for SMEs than for their larger counterparts, the vast majority of studies has been conducted in large companies. This paper extends prior literature by analyzing the discriminant variables that may distinguish between low- and high-innovative manufacturing SMEs.


2003 ◽  
Vol 9 (4) ◽  
pp. 300-307 ◽  
Author(s):  
Gyles Glover

Since the start of the National Health Service, data have been collected on admissions to psychiatric in-patient units, first as the Mental Health Enquiry, then as part of Hospital Episode Statistics. Some details have changed but many have stayed remarkably consistent. Published literature on the wide range of research and policy work undertaken using this data source is reviewed. Early work was central to the government's deinstitutionalisation policy in the early 1960s. Subsequent studies cover a wide range of epidemiological and health services research issues. A new statistical base, the Mental Health Minimum Data Set, covering individuals receiving all types of health care is currently being set up. This will supplement (but not replace) admission statistics.


2018 ◽  
Vol 7 (4) ◽  
pp. 357-376 ◽  
Author(s):  
Giri Aryal ◽  
John Mann ◽  
Scott Loveridge ◽  
Satish Joshi

Purpose The innovation creation literature primarily focuses on urban firms/regions or relies heavily on these data; less studied are rural firms and areas in this regard. The purpose of this paper is to employ a new firm-level data set, national in scale, and analyze characteristics that potentially influence innovation creation across rural and urban firms. Design/methodology/approach The authors use the 2014 National Survey of Business Competitiveness (NSBC) covering multiple firm-level variables related to innovation creation combined with secondary data reflecting the regional business and innovative environments where these firms operate. The number of patent applications filed by these firms measures their innovation creation, and the paper employs a negative binomial regression estimation for analysis. Findings After controlling for industry, county and state factors, rural and urban firms differ in their innovation creation characteristics and behaviors, suggesting that urban firms capitalize on their resources better than rural firms. Other major findings of the paper provide evidence that: first, for rural firms, the influence of university R&D is relevant to innovation creation, but their perception of university-provided information is not significant; and second, rural firms that are willing to try, but fail, in terms of innovation creation have a slight advantage over other rural firms less willing to take on the risk. Originality/value This paper is one of the first to analyze the 2014 NSBC, a firm-level national survey covering a wide range of innovation-related variables. The authors combine it with other regional secondary data, and use appropriate analytical modeling to provide empirical evidence of influencing factors on innovation creation across rural and urban firms.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wilson Aparecido Costa de Amorim ◽  
Marcus Vinicius Gonçalves da Cruz ◽  
Amyra Moyzes Sarsur ◽  
André Luiz Fischer

PurposeThe purpose of this work is to comparatively study human resources management (HRM) areas in Brazil, at the national level, analyzing how companies considered labor market and labor relations aspects when building their strategies and when configuring people management models in place in the country (2014–2019), based on local conditions.Design/methodology/approachThe subject was approached through qualitative analysis, encompassing document survey, systematic literature review, specialists' panel discussions, eight focus groups (43 human resources [HR] managers), interviews (16 union members), applying institutional approach to people management.FindingsIn regards to labor market and unions, HR areas faced different conditions across Brazilian regions. They have dealt with those influences on their strategic and quotidian decisions in an unstructured fashion. HR areas remain constructed as traditional, adjuvant and far from strategic level. In the institutionalization process – normative isomorphism – a professional HR jargon use was identified. HR areas usually act in collective bargaining, resorting to specialized professionals or consulting companies. During the economic crisis, HR professionals' attitude had a reactive nature, responding to organizations leadership, with little dedication to the emerging context.Practical implicationsThis work enables important players like HR managers, union members and specialists in public policies to interpret the institutionalization phenomena of practices related to management, labor market and labor relations in the country.Social implicationsUnderstanding the effects of the relations among state, companies and unions allows the different power vectors, acting upon the institutionalization process of people management areas in the Brazilian case, to be outlined.Originality/valueThis study applies the institutional approach to understand the economic and social heterogeneity affecting organizations in Brazil. It enhances the knowledge on HRM areas scope and their articulation toward labor market and relations.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Denise Jackson ◽  
Ian Li

PurposeThere are ongoing concerns regarding university degree credentials leading to graduate-level employment. Tracking graduate underemployment is complicated by inconsistent measures and tendencies to report on outcomes soon after graduation. Our study explored transition into graduate-level work beyond the short-term, examining how determining factors change over time.Design/methodology/approachWe considered time-based underemployment (graduates are working less hours than desired) and overqualification (skills in employment not matching education level/type) perspectives. We used a national data set for 41,671 graduates of Australian universities in 2016 and 2017, surveyed at four months and three years' post-graduation, to explore determining factors in the short and medium-term. Descriptive statistical techniques and binary logistic regression were used to address our research aims.FindingsGraduates' medium-term employment states were generally positive with reduced unemployment and increased full-time job attainment. Importantly, most graduates that were initially underemployed transited to full-time work at three years post-graduation. However, around one-fifth of graduates were overqualified in the medium-term. While there was some evidence of the initially qualified transitioning to matched employment, supporting career mobility theory, over one-third remaining overqualified. Skills, personal characteristics and degree-related factors each influenced initial overqualification, while discipline was more important in the medium-term.Originality/valueOur study explores both time-based underemployment and overqualification, and over time, builds on earlier work. Given the longer-term, negative effects of mismatch on graduates' career and wellbeing, findings highlight the need for career learning strategies to manage underemployment and consideration of future labour market policy for tertiary graduates.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bowen Yi ◽  
Da Shi ◽  
Fangfang Shi ◽  
Liang Zhang

Purpose By building on cooperation–competition theory, this study aims to investigate the multidimensional flipped effects of neighborhood hotels on Airbnb listings’ popularity, examining the degree to which such impacts are influenced by hotel types and geographical areas. Design/methodology/approach This study explores the interdependent and competitive relationship between neighborhood hotels and Airbnb from the perspective of effects on Airbnb listings’ popularity by exploring a data set covering 10,492 Airbnb listings and 2,691 hotels from Ctrip. Findings Results reveal that neighborhood hotels’ number of reviews, review ratings and prices each have positive spillover effects on Airbnb listings’ popularity, while quality assurance labels and negative review topic sentiments exert competitive effects on Airbnb popularity. Moreover, the number of budget chain hotels and high-star hotels have positive and negative effects on Airbnb popularity, respectively. Geographical areas also have a moderating effect on the relationship between various hotel-related influencing factors and Airbnb. Practical implications This study can offer hotel managers and Airbnb operators a clearer understanding of these businesses’ coexisting relationship. Findings can also provide Airbnb-specific guidelines for practitioners in terms of site selection, promotional features and development strategies for Airbnb listings. Originality/value This study establishes a cooperation–competition relationship model between hotels and Airbnb and considers the flipped effects of hotels on Airbnb for the first time. It expands previous studies by considering the multidimensional effects of hotels on Airbnb listings’ popularity and by examining the influences of hotel types and geographical areas on hotels’ impacts on Airbnb.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mehdi Barati ◽  
Hadiseh Fariditavana

PurposeThe purpose of this study is to first assess how the US healthcare financing system is influenced by income variation. Then, it examines whether or not the impact of income variation is asymmetric.Design/methodology/approachFor the analyses of this paper, the autoregressive distributed lag (ARDL) model is implemented to a data set covering the period from 1960 to 2018.FindingsThe results provide evidence that major funding sources of aggregate healthcare expenditure (HCE) respond differently to changes in income. The results also imply that the effect of income is not always symmetric.Originality/valueMany studies have attempted to identify the relationship between income and HCE. A common feature of past studies is that they have only focused on aggregate HCE, while one might be interested in knowing how major funders of aggregate HCE would be affected by changes in income. Another common feature of past studies is that they have assumed that the relationship between income and HCE is symmetric.


2018 ◽  
Vol 32 (1) ◽  
pp. 75-92 ◽  
Author(s):  
Lisa M. Young ◽  
Swapnil Rajendra Gavade

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.


2019 ◽  
Vol 41 (7) ◽  
pp. 1081-1096 ◽  
Author(s):  
Peter Adjei-Bamfo ◽  
Bernard Bempong ◽  
Jane Osei ◽  
Simonov Kusi-Sarpong

Purpose The purpose of this paper is to propose a new typological environmentally sustainable human resources management evaluation framework to aid green candidate selection process for environmental management in developing economy local government agencies. Design/methodology/approach Presenting the narrative of developing economies local government context, this paper conducts an extensive review of relevant literature on green human resources management (GHRM) and green recruitment and selection. Findings Drawing on Siyambalapitiya et al. (2018) and the resource-based theory (RBT), the paper proposes and discusses an evaluation framework for guiding organizations’ green candidate selection process. The framework comprises of seven stages which begins with “training recruiters on green candidate assessment” to “making selection decision and inducting selected candidate” on organization’s environmental management policies and practices, and its green values. Research limitations/implications Application of the proposed framework has implications for enhancing organizations’ efficiency, reducing cost, eliminating environment waste, as well as fostering green culture among employees. This paper also extends the strand of RBT by explaining how organizations could assess and select job applicants with significant intangible capability such as environmental management skills, knowledge and values to foster its competitive urge and sustainability. Originality/value This paper makes two main contribution to the GHRM literature. First, the paper proposes a new typological environmentally sustainable human resources management evaluation framework. Secondly, the paper focuses the framework on developing economies and local government organizations context, something that is currently non-existent.


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