bluuebunny/crossref_metadata_2025_split huggingface dataset:
Moving critical management education to praxis: integrating professional services within the critical classroom
Authors: Dyer Suzette , Lowery-Kappes Heather , Hurd Fiona 
Published: February 2021

PurposeThis paper details how we adapted a critically informed third-year career management and development course to address an identified gap in our Human Resource Management students learning at both practical and theoretical levels. In order to address this gap, we explored and challenged the aims of our critically informed pedagogy, and alongside our campus career development services, collaboratively redesigned the course to enhance theoretical and practical learning outcomes of students.Design/methodology/approachWe detail changes made through three stages of curriculum redesign and provide an exploratory analysis of 106 student reflections on the third iterative redesign. This exploratory analysis focuses on student learning outcomes resulting from their engagement with the career practitioner and the revised course content.FindingsStudents found the course theoretically challenging and practically relevant and were readily able to incorporate career theory into descriptions of their own careers. However, more significantly, students were also able to situate themselves within a wider critique of the context of careers, demonstrating the development of critical reasoning skills and moving towards practical and critical action, demonstrating praxis.Originality/valueOur experience provides an example of bridging the seeming paradox of critical pedagogy and practice. Specific details of curriculum design may be of interest to those looking to improve both theoretical and practice engagement.
Testing ZELPH ['sɛlf] – a self-assessment instrument to surface intended and unintended outcomes of work-integrating pedagogies
Authors: Dadze-Arthur Abena , Mörth Anita 
Published: February 2021

PurposeThis paper's twofold purpose is, first, to present ZELPH ['sɛlf], a self-assessment instrument that enables those developing the pedagogy of work-integrating study programmes in higher education (HE) systematically to surface the intended and unintended outcomes of their programme's approach to integrating professional practice into an academic course. Secondly, the paper reports on a small pilot study with programme staff from five different HE institutions in various countries who tested ZELPH.Design/methodology/approachZELPH operationalises aspects of key theories on work-integrating learning pedagogy, and thereby enables a simplified depiction of the reality of combining classroom-based and worksite-based learning. Programme staff from Germany, the United Kingdom, France, South Africa and Taiwan applied the instrument to their respective work-integrating study programmes and evaluated its perceived value and feasibility.FindingsThe findings suggest that ZELPH offers value as a practical instrument, in particular to those less familiar with developing work-integrating learning pedagogy as well as to those keen to compare programmes across national, cultural and institutional contexts.Originality/valueZELPH contributes to addressing the lack of practically applicable instruments to support the design and international benchmarking of work-integrating learning pedagogy in HE.
Intelligent portfolio asset prediction enabled by hybrid Jaya-based spotted hyena optimization algorithm
Authors: Sharma Meeta , Shekhawat Hardayal Singh 
Published: February 2021

Purpose
The purpose of this study is to provide a novel portfolio asset prediction by means of the modified deep learning and hybrid meta-heuristic concept. In the past few years, portfolio optimization has appeared as a demanding and fascinating multi-objective problem, in the area of computational finance. Yet, it is accepting the growing attention of fund management companies, researchers and individual investors. The primary issues in portfolio selection are the choice of a subset of assets and its related optimal weights of every chosen asset. The composition of every asset is chosen in a manner such that the total profit or return of the portfolio is improved thereby reducing the risk at the same time.

Design/methodology/approach
This paper provides a novel portfolio asset prediction using the modified deep learning concept. For implementing this framework, a set of data involving the portfolio details of different companies for certain duration is selected. The proposed model involves two main phases. One is to predict the future state or profit of every company, and the other is to select the company which is giving maximum profit in the future. In the first phase, a deep learning model called recurrent neural network (RNN) is used for predicting the future condition of the entire companies taken in the data set and thus creates the data library. Once the forecasting of the data is done, the selection of companies for the portfolio is done using a hybrid optimization algorithm by integrating Jaya algorithm (JA) and spotted hyena optimization (SHO) termed as Jaya-based spotted hyena optimization (J-SHO). This optimization model tries to get the optimal solution including which company has to be selected, and optimized RNN helps to predict the future return while using those companies. The main objective model of the J-SHO-based RNN is to maximize the prediction accuracy and J-SHO-based portfolio asset selection is to maximize the profit. Extensive experiments on the benchmark datasets from real-world stock markets with diverse assets in various time periods shows that the developed model outperforms other state-of-the-art strategies proving its efficiency in portfolio optimization.

Findings
From the analysis, the profit analysis of proposed J-SHO for predicting after 7 days in next month was 46.15% better than particle swarm optimization (PSO), 18.75% better than grey wolf optimization (GWO), 35.71% better than whale optimization algorithm (WOA), 5.56% superior to JA and 35.71% superior to SHO. Therefore, it can be certified that the proposed J-SHO was effective in providing intelligent portfolio asset selection and prediction when compared with the conventional methods.

Originality/value
This paper presents a technique for providing a novel portfolio asset prediction using J-SHO algorithm. This is the first work uses J-SHO-based optimization for providing a novel portfolio asset prediction using the modified deep learning concept.
COVID-19 and the administrative concepts neglected: reflections for leaders to enhance organizational development
Authors: Anholon Rosley , Silva Dirceu , Souza Pinto Jefferson , Rampasso Izabela Simon , Domingos Maria L.C. , Dias Janice H.O. 
Published: February 2021

Purpose
The purpose of this paper is to discuss how COVID-19 pandemic forced several companies to reflect on their activities. Many organizational changes have been conducted and others will still be necessary. Some reflections are presented, as some aspects are well consolidated in academic literature while they are neglected by many leaders of companies. The authors believe that this viewpoint can support leaders to enhance organizational development.

Design/methodology/approach
Part of the information presented here is characterized by the authors’ points of view, as it is a viewpoint. However, the authors carried out searches on scientific bases and published press reports aiming to support the reflections presented in this text.

Findings
The reflections presented in this viewpoint focus on the following aspects: periodic critical analysis of companies business models, business continuity management systems, risk management, resilience principles in supply chain management, necessary changes in production systems, occupational health and safety systems and new ways of working. For the authors, the correct conduction of these aspects can guarantee companies survival; however, many leaders worldwide still neglect them.

Originality/value
The reflections presented here can be useful for leaders interested in conducting a critical analysis in their business, considering necessary organizational changes to face the COVID-19 pandemic consequences.
The COVID-19 pandemic and the role of responsible leadership in health care: thinking beyond employee well-being and organisational sustainability
Authors: Haque Amlan 
Published: February 2021

PurposeThe unprecedented crisis of the COVID-19 pandemic has posed an enormous challenge ever for health-care organisations to find strategies to deal with their survival. The health-care employees are the frontline soldiers to fight against COVID-19 pandemic. Currently, there is a lack of research regarding the conceptualisation of COVID-19 and its impact on health-care employees’ well-being and their organisational sustainability. Extending the role of responsible leadership (RL), the purpose of this paper is to develop a multi-level conceptual model to overcome the crisis of COVID-19 pandemic and promote employee (e.g. workers, nurses and professionals) well-being and organisational sustainability.Design/methodology/approachWith a comprehensive literature review, this paper presents five testable propositions and highlights the impact of COVID-19 pandemic on employee well-being and organisational sustainability.FindingsThe proposed model counsels that organisations need to go beyond the simple application of strategic climate and should enable RL to protect and maintain employee well-being and organisational sustainability.Research limitations/implicationsThe proposed conceptual model is a step forward to not only explore future empirical research but also it will help the health-care policymakers to take responsible initiatives to increase employee well-being and uphold organisational sustainability.Originality/valueThere is a lack of research regarding the conceptualisation of the COVID 19 pandemic and its impact on health-care employees’ well-being and organisational sustainability. The proposed conceptual model opens and guides a novel research avenue for the alignment of strategic management (as a moderator) and RL on the relationships among the COVID-19 pandemic, employee well-being and organisational sustainability.
Green computing intent and behavior of Pakistani academic librarians: PLS-SEM analysis
Authors: Soroya Saira Hanif , Mahmood Khalid , Shahid Soroya Muhammad , Hussain Sumaira , Ilyas Aleeha 
Published: February 2021

PurposeIn the age of global warming where there is a need to go green in various sectors of life, it is also an urgent need for different IT industries and companies to incorporate green agenda. The green agenda is also dependent on human behavior. Therefore, it is equally important to explore the factors that positively affect green computing behavior. In this regard, contextual considerations are important. Thus, the purpose of this study is to explore the green computing intent and behavior of heavy IT users, i.e. librarians underpinning the theory of planned behavior.Design/methodology/approachThe study was based on a quantitative research design. A total of 181 survey-based online questionnaires were filled by Pakistani university librarians. The proposed hypothetical model was tested using structural equation modeling in SmartPLS v3.2.FindingsThe study findings confirm that attitude and perceived behavioral control have a significant positive impact on the intention to adopt green computing behavior (GC behavior) among academic librarians. The findings further reveal that green computing awareness proved a strong predictor of green computing behavior, as it not only affects GC behavior but also impacts positively on attitude and perceived behavioral control that ultimately affects GC behavior through intention.Originality/valueThe study argues that green computing behavior is dependent on several predictors that can be deployed to develop a positive behavior towards green computing. The study is important as it is the first time conducted on one of the heavy IT user groups, i.e. librarians.
Impact analysis of e-Databases' job relevance, output quality and result demonstrability on faculty research motivation
Authors: Izuagbe Roland , Olawoyin Olajumoke Rebecca , Nkiko Christopher , Ilo Promise Ifeoma , Yusuf Felicia , Iroaganachi Mercy , Ilogho Julie , Ifijeh Goodluck Israel 
Published: February 2021

PurposeThe purpose of the study is to ascertain whether or not faculty members would be motivated to use e-Databases for research considering the impact of the Technology Acceptance Model2 (TAM2) cognitive instrumental processes of job relevance, output quality and result demonstrability.Design/methodology/approachThe survey research design was applied. The selection of samples was based on a multistage sampling technique involving; purposive, simple/systematic random and total enumeration procedures. Five colleges and departments each were selected from the three universities that provided the setting for the conduct of this study, out of which a sample of 135 was drawn from the total population of 209. The questionnaire method was used for data gathering. Ninety-five percent return rate of the administered instrument was observed. Descriptive and inferential statistical tools were employed for data analyses.FindingsJob relevance, output quality and result demonstrability are motivators of faculty use of e-Databases for research with result demonstrability wielding the strongest influence. Use of e-Databases for research is based on the usefulness level perceived of them. Faculty are highly predisposed to using the technology for research with the chances of getting published in reputable journal outlets ranked highest among other factors that influence faculty use of e-Databases.Originality/valueThe conceptualization of TAM2 cognitive instrumental processes as system characteristics and motivators of e-Databases use among faculty towards research engagement advances the understanding of intention to use e-Databases for research.
Influence of satisfaction and loyalty on Net Promoter Score (NPS) in academic libraries in Indonesia
Authors: Srirahayu Dyah Puspitasari , Anugrah Esti Putri , Layyinah Khoirotun 
Published: February 2021

PurposeThis study aims to determine the NPS score of state academic libraries users in Indonesia, the relationship between user loyalty and NPS scores and the relationship between user satisfaction with NPS.Design/methodology/approachThe method used in this research is quantitative explanatory method, which surveyed the relationship between satisfaction, loyalty and NPS variables based on the development of previous studies and existing theories. The population in this study were students visiting the state university library in Surabaya, Indonesia, namely Library A, Library B, Library C and Library D. The total number of samples taken was 200 divided equally to each of the universities, with 50 respondents respectively. Data collection was done with a questionnaire.FindingsThe Result shows that NPS value for academic library in Indonesia was 8. (1) The probability value of satisfaction with NPS is 0.18 (greater than 0.01) so H1 is rejected, meaning that satisfaction has no significant effect on NPS, (2) The probability value of satisfaction with loyalty is < 0.01 so that H0 is accepted. This means that satisfaction has a significant effect on loyalty and (3) The probability value of loyalty to NPS is < 0.01 so that H0 is accepted. This indicates that loyalty has a significant effect on NPS.Research limitations/implicationsTo get user satisfaction, libraries need to improve facilities and services in accordance with the characteristics and needs of users, so that user expectations will be met and achieve satisfaction. When user satisfaction has been fulfilled, user loyalty to library products will be formed, so the NPS score will increase which is manifested by users recommending the library to others. This research has limitations, namely that the object of research is only in public higher education centers, so for generalization it is necessary to add research objects such as private college libraries, public libraries or school libraries.Originality/valueResearch on loyalty by using NPS has not been done much especially in Indonesia. This study also examines the relationship between satisfaction and loyalty on NPS scores.
When does abusive supervision mitigate work effort? Moderating roles of cognitive reappraisal and rumination
Authors: Dedahanov Alisher Tohirovich , Miao Siyuan , Semyonov Aleksey Aleksandrovich 
Published: February 2021

PurposeThe purpose of this study is to examine the boundary condition roles of cognitive reappraisal and rumination in the link between abusive supervision and work effort.Design/methodology/approachSurvey data were collected from 545 highly skilled employees of manufacturing companies. We excluded 161 of these questionnaires because they were incomplete and used 384 questionnaires in the analyses. To assess the validity of proposed hypotheses, we conducted hierarchical regression analysis.FindingsThe results indicate that cognitive reappraisal weakens the negative link between abusive supervision and work effort. Moreover, individuals who ruminate tend to exhibit reduced work effort when they experience abusive behavior from their supervisors.Originality/valueThis study is the first to investigate the moderating roles of cognitive reappraisal and rumination in the link between abusive supervision and work effort. The findings can help organizations understand the situations when abusive supervision decreases levels of work effort among employees and when subordinates maintain their levels of work effort.
How different types of performance management systems affect organizational performance?
Authors: Kadak Tarmo , Laitinen Erkki K. 
Published: February 2021

Purpose
The purpose of this paper is to analyze the relationships between different types of performance management system (PMS) and organizational performance. The main task is based on an empirical typology of PMS to show how the different types of PMS are related to organizational performance.

Design/methodology/approach
The empirical typology is used on the creation on the sample of Estonian and Finnish firms.

Findings
The results show that the highest performance out of the four clusters is achieved by firms from strategy-focused multi-level and strategy-focused one-level clusters. They also show the highest quality of the key characteristics of PMS. Firms from the not-strategy-focused one-level cluster have the lowest performance and quality of the key characteristics of PMS.

Practical implications
The findings give a set of consistent guidelines on how to develop a PMS to achieve high organizational performance in different situations. These give hints, if strategic objectives are important to firm, then for achieving these objectives, also a strong emphasis of strategic aspects in PMS is necessary to gain performance; if the firm suffers from a lack of strategy, the firm should invest on the information aspects of PMS to get more relevant information to increase performance; if the firm, however, decides to move more strategy-oriented, then the strategy aspects of the PMS should get relatively more attention than other aspects in PMS, and they should be developed with care, otherwise performance will suffer.

Originality/value
This paper shows relations between empirically extracted clusters and organizational performance. The results show that clusters of PMS are systematically associated with the level of performance. Firms with different aspects of PMS do not achieve the equal level of performance. Firms with higher performance inside different PMS types have more desirable characteristics and aspects of PMS.
Performance habitus: performance management and measurement in UK higher education
Authors: Hutaibat Khaled , Alhatabat Zaidoon , von Alberti-Alhtaybat Larissa , Al-Htaybat Khaldoon 
Published: February 2021

Purpose
What academic and managerial elements are particularly influential regarding performance? This study aims to address these questions as part of a broader longitudinal study. The current paper focusses on the results relating to performance management and measurement, and how the sectorial developments impacted on individuals and institutions.

Design/methodology/approach
An interpretive research methodology was used, which illustrates the institutional performance management and measurement system. The first part of the interpretive study was a single case study, focussing on one “old” research-intensive university. The second part included five institutions, three UK top-tier universities, focussing on top-level research and education, and two “new” universities with a greater teaching than research portfolio.

Findings
The current paper focusses on the results relating to performance management and measurement, and how higher education (HE) developments impacted on individuals and institutions, reflected in the notion of performance habitus. The qualitative element of the study sought to gain insight into which factors influence performance management and measurement and what changing effect these have on academic members of staff. The findings illustrate how academic values and managerial control practices create an academia-specific performance management approach, measured by particular key performance indicators that are used for the institution as a whole and then applied to units and individuals within institutions. With regard to institutional performance, more established and institutionalised performance management and measurement practices are relied upon. Both elements are addressed in this study, and the authors conclude that the interplay of human capital and institutional structure creates the most successful performance-related outcome.

Originality/value
The current study adds additional insights on how the changing HE context affects academic members and how the future of the UK HE sector is perceived. Insights can be derived for other HE sectors, as the contextual factors of international competition, tightening of resources and nature of the academic sector transcend national borders. Thus, practices illustrated in the current study are useful for institutions and academic managers of other HE sectors as well.
Corporate social responsibility and firm default risk in the Eurozone: a market-based approach
Authors: Shahrour Mohamad Hassan , Girerd-Potin Isabelle , Taramasco Ollivier 
Published: February 2021

PurposeThe purpose of this study is to examine the relationship between corporate social responsibility (CSR) and the default risk level of firms operating in the Eurozone and how CSR can provide insurance-like protection during financial/economic downturns.Design/methodology/approachBased on prior empirical studies and by integrating the insights of different theories, this study proposes a framework linking CSR, firm default risk and corporate financial performance to explain firms' social behavior that can trigger default risk determinants (e.g. cost of capital, leverage, sales level) directly or indirectly. The authors use a panel regression approach.FindingsThe results support the mitigating effect of CSR on firm default risk. This effect is higher during a financial crisis, suggesting that CSR could provide insurance-like protection during economic downturns. These results hold even after using an alternative risk measure. Granger causality test results strongly suggest that reverse causality is not a concern. An instrumental variable approach is proposed to deal with potential endogeneity issues.Originality/valueWhile other studies examine the CSR–firm default risk relationship in US samples, this study focuses on the Eurozone. The novelty of this work is based on its sample and how financial crises are addressed within this relationship. Insurance-like protection concerns both negative announcements and periods (e.g. financial crises, recessions). The study's results are useful for investors and risk managers who intend to manage default risk in their portfolios or firms.