scholarly journals Innovation management: perspectives from strategy, product, process and human resource research

2020 ◽  
pp. 2-14
Author(s):  
Vida Škudienė ◽  
Jason Li-Ying ◽  
Fabian Bernhard
2020 ◽  
Vol 16 (3) ◽  
pp. 238-247
Author(s):  
Mbithi Mutua

This article attempts to find out if there is breadth in application of quantitative techniques in published literature within the field of human resource management (HRM). In addition, it investigates the holistic use of specific categories of statistics, and if there are categories that are neglected. The study utilises a combination of research questions and hypotheses. The broad categories of statistics that this study focussed on include descriptive, data science statistics, exploratory graphical, advanced statistics such as structural equation modelling, Bayesian statistics and inferential statistics. It goes further to study application of machine learning statistics in HRM research. Using archival methodology, the article utilises a sample of 120 journal papers to answer formulated research questions and hypotheses. Descriptive statistics, exploratory graphical analysis and inferential statistics are used in the analysis. The findings indicate that there are neglected statistics in HRM research. Overall, most statistical categories are underutilised. HRM journal editors, researchers and practitioners must stock HRM methodological toolbox.


2014 ◽  
Vol 1 (1) ◽  
pp. 1-2
Author(s):  
Yusuf Yakupogullari ◽  
Adam KOSE

(Extract) The well-being has been the highest topic for humanity throughout the adventure of mankind on the earth. Therefore, extensive efforts have been performed on the science of medicine, and glorious advances have been gained especially in the last two centuries. Research is essential for medicine to develop new therapeutic methods and to monitor the results of the current treatment given to the patient. These are possibly the simplest reasons for investigations in medicine. On the other hand, qualified human resource, research ethics, financial supports, regular data recording and analysis, and publication are important issues for improvement of the medical researches in the developing countries.


Author(s):  
Y Klius ◽  
Ye Ivchenko ◽  
Y Ivchenko ◽  
M Manukhina ◽  
M Melnik

Purpose. To establish integrated innovation management based on developing a corporate innovation base at industrial enterprises in the context of post-conflict transformation. Methodology. In the course of the works, the methods of theoretical generalization, comparison, synthesis, analysis were used to reveal the general principles and to determine the basic categories of the study. Findings. A model of the integrated innovation management approach at industrial enterprises is developed. In modern corporate structures, innovations are divided into groups according to their independent properties. The innovation management system, if it exists, is considered as an independent system that has its own set of goals which are not integrated into the goals of the corporation itself. The paper considers the goals of innovation management in an integrated structure as the implementation of the goals of a corporation, where innovation management processes are integrated horizontally and vertically according to business processes. Innovation management is based on three approaches: transfer, algorithmic and creative ones. Originality. The paper offers the authors methods for managing innovation by using the system of methodological approaches (algorithmic, transfer, creative managements), based on processes of innovation management at the industrial enterprises in the context of post-conflict transformation, which have been identified applying the mathematical models. The study has developed: - the authors approach to the formation of innovation management objectives at industrial enterprises in post-conflict transformation context, based on eight key spaces, with the identification of five groups of goals: financial, production, marketing, human resource management, and information support; - a system of innovation management objectives with a of innovation management task subsystem in the field of financial activities, production process, marketing, human resource management and information technology support. Practical value. The practical significance of the results is that they can be applied in corporate integration structures to increase economic efficiency, making a profit from introduction.


2020 ◽  
Vol 42 (5) ◽  
pp. 1055-1100
Author(s):  
Elizabeth A. Cooper ◽  
Aimee DuVall Phelps ◽  
Sean Edmund Rogers

PurposeThis paper systematically reviews the past four years of research on human resource management (HRM) in nonprofit organizations (NPOs) to better understand: (1) recent theoretical and empirical developments and where scholarship in the field is headed (i.e. trends); (2) what topics and findings are especially important to understanding how the thought and practice of nonprofit HRM differs from that in public and for-profit organizations (i.e. insights); and (3) what gaps exist in current knowledge and scholarship and some real-world, practice-driven developments in people management that illuminate promising future research directions (i.e. opportunities).Design/methodology/approachSixty-seven peer-reviewed journal articles covering the period 2015–2018 were identified using a university library database search, as well as by-hand searches through every issue of 22 nonprofit and 36 human resources-related journals during the four-year period.FindingsThe findings highlight strong continued interest by scholars in a wide range of nonprofit HRM issues, coverage of these issues by a worldwide network of researchers who bring global perspectives and contexts to the study of nonprofit HRM, and rich theoretical and methodological diversity. Yet, compared with the universe of possible human resource topics and several leading-edge developments in organizations and societies that might affect the way people are managed in nonprofits, the paper uncovers gaps in the most recent knowledge base.Originality/valueThe paper creates a compilation of the most recent nonprofit human resource research to be used as a tool for scholars, students, and practitioners for many years to come.


2018 ◽  
Vol 56 (6) ◽  
pp. 1306-1335 ◽  
Author(s):  
Daria Podmetina ◽  
Klas Eric Soderquist ◽  
Monika Petraite ◽  
Roman Teplov

PurposeFrom the organisational perspective, the authors know that management, including innovation management, becomes less “organised” by bureaucracy and administrative tools, and much more impacted by organisational capabilities, competences and hidden, “soft” routines, bringing innovation and creativity to the core of organisation. The purpose of this paper is to focus on competency sets for open innovation (OI) and is to provide recommendations for OI competency development in companies, linked to the core OI processes.Design/methodology/approachThe research is exploratory and aims at theory-based practical indication combining deductive identification of competency clusters and inductive model development. Thus, the authors apply quantitative methods to data collection and analysis. The authors conducted an extensive literature review on competence challenges with regard to execution of OI, and empirical data analysis based on a large-scale structured industrial survey in Europe (N=264), leading to the development of competency sets for companies. SPSS tools are applied for empirical tests.FindingsThe authors develop a generic OI competency model applicable across industries, combined with organisational implications for sustaining OI management capabilities. The research clusters competencies based on the empirical analysis, which addresses the various challenges of OI, leading to recommendations for competency management in an OI context.Research limitations/implicationsThe data were collected from one key informant per company. Although the authors made efforts to ensure that this was a senior manager responsible for innovation, the authors cannot exclude some bias in the way that OI activities and related competencies are perceived. Exploratory nature of the research, which calls for a more systematic investigation of the OI activity modes and the OI competencies resulting competency model. In particular, the competencies could be tested on an inter-professional sample of employees with involvement in and/or responsibility for innovation, development, and HR management, as well as on leaders of innovating companies. Third, although significant in size for the analyses undertaken, the sample is not large enough to enable a more fine-tuned analysis of regional differences across Europe in the way that OI is managed through the development and implementation of competencies.Practical implicationsThe research contributes to the OI management field with an outlined OI competency profile that can be implemented flexibly and tailored to individual firm’s needs. It brings indications for both further theory building and practice of innovation organisation, especially with regard to human resource development and organisational capability building for OI.Social implicationsThe social implications of the paper result from the contribution to innovation management competency development in OI regimes, which is an important tool for designing contemporary educational programmes, contributes to OI management sophistication in business which is especially important during the economy slowdown and search for new sources of growth and productivity, and supports firms productive engagement in OI ecosystems and collective technology upgrading towards higher societal benefits and stakeholder involvement.Originality/valueAn empirically grounded OI competency model is proposed with an implication to support human resource development for OI. To the best of the authors’ knowledge, there has been no prior attempt to build such a model. The distinguished feature of the research is its extensive European coverage of 35 countries and multinational scope. The empirical validation strategy makes the research extremely relevant for management decisions related to human factors related OI capability development in organisations.


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