bluuebunny/crossref_metadata_2025_split huggingface dataset:
Two-decade journey of green human resource management research: a bibliometric analysis
Authors: Bahuguna Prakash Chandra , Srivastava Rajeev , Tiwari Saurabh 
Published: March 2022

PurposeDuring the past decade, the green workplace has attracted the attention of academics and industry alike. As a result, new research areas like green human resource management (GHRM) started emerging. Green workplace means greening of traditional business functions, namely, human resource management, marketing, operations and supply chain. GHRM can play a strategic role in enabling organizations to implement and formulate sustainable strategies and help them achieve corporate sustainability. This paper helps understand the GHRM scholarship and provides an up-to-date account of GHRM practices.Design/methodology/approachIn this paper, the authors have adopted the bibliometric analysis method to analyse and draw inferences from 247 articles retrieved from the Web of Science (WoS) database for the time horizon of almost two decades: 2005 to June 2021. The methodology's schematic view comprises four steps: data collection, data analysis, data visualization and interpretation. The present study intends to understand GHRM scholarship using Bibliometric R-package and VOSviewer software.FindingsThe study offers some interesting insights that may help scholars, line managers and top management to conceptualize the GHRM practices in their organization, which is currently limited to a few HR practices (hiring, training and reward), geographies, developed countries and industries. These can be extended to other HR practices (e.g. industrial relations). In addition, this paper contributes to the GHRM literature in identifying the keywords, authors, journals, intellectual, conceptual and social structure.Research limitations/implicationsThe study underpins the research in the area of GHRM in order to understand the trends on this topic over the past 17 years in terms of prolific authors, most impactful journals, key themes and the field's intellectual and social structure. The study indicates that this field is still in its development stage. Hence, there is a need for more arduous research on the topic to help develop a better understanding of this new field.Originality/valueThe paper helps understand green practices in human resource functions, focusing on corporate sustainability goals. It helps the line managers and top management make GHRM a central function for achieving sustainability goals. In addition, these findings can be a road map for the researchers to investigate the field of GHRM further.
Government subsidies, R&D expenditures and overcapacity: empirical analysis in photovoltaic companies
Authors: Chen Jing , Wang Tianchi 
Published: March 2022

Purpose
This study aims to investigate the relationship between government subsidies, R&D expenditures and overcapacity, and to explore the heterogeneity effects in different time periods and different types of companies. It can provide theoretical and practical guidance for the development of the photovoltaic industry.

Design/methodology/approach
This paper constructs a mediation model to explore the impact of government subsidies on overcapacity and on R&D expenditures, and to propose an indirect way to disentangle the impact of government subsidies on the creation of overcapacity from the positive aspect of increased R&D expenditures. A total of 94 listed enterprises in the Chinese photovoltaic industry were selected as the sample over the period 2012–2019.

Findings
There was significant overcapacity in the photovoltaic industry. Government subsidies had a positive effect in promoting overcapacity and R&D expenditures. The influence of government subsidies on excess capacity increased and on R&D expenditures decreased over time. Compared with large enterprises, government subsidies the small enterprises received had a greater positive impact on the overcapacity and a smaller positive impact on R&D expenditure. R&D expenditures restrained the influence of government subsidies on overcapacity, but the suppression effect was limited and decreased over time. The indirect effect in small enterprises was greater than that of large enterprises.

Originality/value
This paper studied government subsidies, R&D expenditure and overcapacity in the same framework and used bias-corrected bootstrapping to explore the path of “government subsidies–R&D expenditures–overcapacity”. The heterogeneous effects in different periods and different types of firms are discussed.
Thin Plates Spline Based Differential Quadrature for numerical solution of groundwater flow
Authors: Behroozi Abdol Mahdi , Vaghefi Mohammad 
Published: March 2022

PurposeThe main purpose of this paper is presenting Thin Plates Spline-based Differential Quadrature (TPS-DQM) as a meshless numerical method to solve the steady and transient groundwater equation in complex geometry.Design/methodology/approachThe computational nodes are randomly distributed in domain, and the governing equations of groundwater flow are solved, relying on the capability of present model for solving the partial differential equations (PDEs) in irregular domains. To show the accuracy of the proposed model, several seepage problems in both homogenous and non-homogenous soils are solved, and the results are compared with those existing analytical solution and well-known finite element-based software SEEP/W.FindingsThe results indicate that the present meshless method is capable of simulating steady-state and unsteady seepage problems, especially in complex geometry and it provides sufficient accuracy and reliability, despite the low computational effort and no need for additional parameters like shape factor.Originality/valueThe main advantage of the method is its meshless characteristic, which does not require structured grid generation and able to solve governing equation in arbitrary geometry.
An optimal derivative-free King's family for multiple zeros and its dynamics
Authors: Rani Litika , Kansal Munish 
Published: March 2022

PurposeThe purpose of this article is to develop and analyze a new derivative-free class of higher-order iterative methods for locating multiple roots numerically.Design/methodology/approachThe scheme is generated by using King-type iterative methods. By employing the Traub-Steffensen technique, the proposed class is designed into the derivative-free family.FindingsThe proposed class requires three functional evaluations at each stage of computation to attain fourth-order convergency. Moreover, it can be observed that the theoretical convergency results of family are symmetrical for particular cases of multiplicity of zeros. This further motivates the authors to present the result in general, which confirms the convergency order of the methods. It is also worth mentioning that the authors can obtain already existing methods as particular cases of the family for some suitable choice of free disposable parameters. Finally, the authors include a wide variety of benchmark problems like van der Waals's equation, Planck's radiation law and clustered root problem. The numerical comparisons are included with several existing algorithms to confirm the applicability and effectiveness of the proposed methods.Originality/valueThe numerical results demonstrate that the proposed scheme performs better than the existing methods in terms of CPU timing and absolute residual errors.
Exploring relationships of urban seismic resilience assessment indicators with a fuzzy total interpretive structural model method
Authors: Zhao Yonggang , Yang Xiaodong , Zhai Changhai , Wen Weiping 
Published: March 2022

PurposeThe purpose of this paper is to investigate relationships of urban seismic resilience assessment indicators.Design/methodology/approachTo achieve this aim, construction of the urban seismic resilience assessment indicators system was conducted and 20 indicators covering five dimensions, namely building and lifeline infrastructure, environment, society, economy and institution were identified. Following this, this study used evidence fusion theory and intuitionistic fuzzy sets to process the information from experts then developed the fuzzy total interpretive structure model.FindingsA total of 20 urban seismic resilience assessment indicators are reconstructed into a hierarchical and visual system structure including five levels. Indicators in the bottom level including debris flow risk, landslide risk, earthquake experience and demographic characteristics are fundamental indicators that significantly impact other indicators. Indicators in the top level including open space, gas system and public security are direct indicators influenced more by other indicators. Other indicators are in middle levels. Results of MICMAC analysis visually categorize these indicators into independent indicators, linkage indicators, autonomous indicators and dependent indicators according to driving power and dependence.Originality/valueThis paper attempts to explore relationships of urban seismic resilience assessment indicators with the interpretive structural model method. Additionally, Fuzzy total interpretive structure model is developed combined with evidence fusion theory and intuitionistic fuzzy sets, which is the extension of total interpretive structure model. Research results can assist the analytic network process method in assessing urban seismic resilience in future research.
Assessing sustainable tourism development through service supply chain process maturity and service quality model
Authors: Balouei Jamkhaneh Hadi , Shahin Reza , Shahin Arash 
Published: March 2022

PurposeThis study aims to propose a framework for identifying and measuring the gaps between evaluation and goal setting in service supply chain (SSC) processes towards planning and development of sustainable tourism aligned with the firm's real conditions and capabilities.Design/methodology/approachBy the concept of the service quality gap model, the existing gaps between auditors' evaluation and the managers' goals in SSC processes maturity were examined. Then, each of the designed gaps was measured considering the goals addressed by managers’ and auditors' evaluation. Finally, the strategy and priority of sustainable tourism planning and development were determined based on importance–performance analysis (IPA).FindingsThe gaps caused by the expectations and perceptions of the firm about the dissatisfaction of managers regarding their addressed goals and the evaluation of auditors in the planning and development of sustainable tourism can be classified into three categories of goals gap, assessment gap and main gap. To improve the performance of the firm in each of the evaluation criteria under the results of IPA analysis, solutions were provided.Practical implicationsRealistic evaluation and recognition of the capabilities of the organization's processes through the proposed framework can be effective in goal setting and sustainable tourism development policies.Originality/valueThe framework proposed in this study can be a suitable approach for the balanced growth of all aspects of the firm in planning and developing sustainable tourism and helps firms in setting the right and logical goals.
A fuzzy-set qualitative comparative analysis of factors influencing successful shared service center implementation
Authors: Plugge Albert , Nikou Shahrokh , Janssen Marijn 
Published: March 2022

PurposeOrganizations nowadays require services supplied by shared service centers (SSCs) to achieve organizational responsiveness. Previous contributions focused on distinct qualitative-explorative factors for explaining successful SSC implementation but failed to consider the interdependencies and combined effects between factors.Design/methodology/approachDrawing on complexity and configuration theories, this research employed a fuzzy-set qualitative comparative analysis (fsQCA). A unique dataset of 121 international firms was obtained to examine the combined effects of five conditions (factors), namely, modularization, standardization, decision-rights, portfolio and customer-orientation .FindingsThe findings show that multiple configurations of conditions (or solutions) can lead to successful SSC implementation. The fsQCA results indicated that portfolio and standardization are perceived as core conditions in all configurations. Firms that focus on portfolio and continuous evaluation of customer-orientation are more likely to be successful. Furthermore, in some configurations, the size of the firm size matters.Research limitations/implicationsThe cross-sectional survey data might be a potential limitation. In future research, a more extensive survey can be collected to help generalize the results.Practical implicationsSuccess factors are dependent on the SSC configuration. Standardization, portfolio management and regular evaluations of changing customer services by executive management are needed.Originality/valueTo the best of the authors' knowledge, there is no academic study that examines SSC implementation based on salient conditions using a configurational thinking approach. As such, the findings of the research allow us to better understand the causal complexity and interdependencies between essential SSC factors.
Historical inclusion and exclusion: New Zealand archives as primary resources for historical research
Authors: Kennedy Ann-Marie , Krisjanous Jayne , Welland Sarah 
Published: March 2022

Purpose
In response to the special issue call for papers on international sources for advertising and marketing history, this paper aims to provide information, this paper provides information on two prominent New Zealand archives: Archives New Zealand and the Alexander Turnbull Library (ATL).

Design/methodology/approach
Archives New Zealand and the ATL were chosen as they are the two largest archives in New Zealand, and both have different but complementary roles – one for the preservation of government records and the other for the preservation of private collections. The history of each is provided as well as a discussion of relevant materials for marketing historians. This is followed by a discussion of the limitations of the archives with regards to their colonial contexts and potential for ignoring the “other” over the years.

Findings
Archives New Zealand houses official government documents and thus occupational registrations, licences, trademarks, patents and copyright records are held, along with unique product design registration files and the complete history of health promotion in New Zealand. The ATL houses personal and thus biographically useful photographs, society records and minutes, personal letters and diaries, photos and glass plate negatives, portraits and paintings, architectural works and music.

Originality/value
For researchers pursuing historical research in marketing, the archival documents offered by government archives and donated private collections from throughout the world provide invaluable resources. This paper also provides a discussion of the colonial focus on record-keeping and potential bias stemming from colonial structures of government and lack of representation of marginalised groups.
Consumer privacy and distribution contract
Authors: Wang Min , Du Jiahao 
Published: March 2022

Purpose
In the Information Age, an increasing number of firms and researchers focus on consumer privacy. Meanwhile, many firms that collect consumer information through, information disclosure, consumer privacy, agency model, distribution contracts products or services often adopt the agency contract or the wholesale contract to sell through the online platform. This study aims to examine how different distribution contracts affect supply chain decisions when the firm can profit from disclosing consumer information.

Design/methodology/approach
The authors use Stackelberg model to describe the relationship between consumer privacy and distribution contracts. Solve the model and analyze the monotonicity of the equilibrium results. The optimal contract choice and win-win conditions are obtained by comparing the profits under different contracts.

Findings
The authors find that when consumers’ maximal valuation is low in the market, the firm prefers to profit from disclosing consumer information under both the agency contract and the wholesale contract. As consumers’ maximal valuation increases, the firm turns to profit from product sales. Under the agency contract, the platform only generates profit when the consumers’ maximal valuation is high. By comparing the profits of the platform under the two types of contracts, the authors find the platform’s optimal contract choice under different consumers’ maximal valuations and platform commission rates. Combined with the comparison results of the firm’s profit, the authors provide the win-win conditions under the agency contract and wholesale contract.

Originality/value
This study analyzes the supply chain decision under the agency contract and wholesale contract, and it helps deepen the understanding of the interaction between consumer information disclosure and channel distribution contract.
Toward a framework for a maintenance architecture
Authors: Sigsgaard Kristoffer Vandrup , Soleymani Iman , Mortensen Niels Henrik , Khalid Waqas , Hansen Kasper Barslund 
Published: March 2022

PurposeThis paper aims to investigate how the product architecture and service architecture methodology can be applied in strategic maintenance optimization to reduce the non-value-adding variance of maintenance, decrease the complexity and ensure alignment in maintenance practices in asset-intensive companies. The proposed maintenance architecture model will make it possible to make data-driven decisions regarding how the equipment should be grouped and maintained.Design/methodology/approachThe research approach is considered exploratory, and the main research strategy is a case study. The maintenance architecture model is developed based on the product architecture methodology and then tested in three different cases in the oil and gas sector.FindingsThrough the maintenance architecture model, it is possible to pair a quantitative data-driven approach with qualitative understanding of dependencies between equipment, maintenance actions and maintenance work management processes, enabling a more holistic and top-down data-driven approach to improving maintenance, than what currently exists in literature.Originality/valueThe proposed model provides a contribution to the understanding of maintenance and is positioned at a detailed level, different from other maintenance improvement models. This model is focused on the main drivers of maintenance that can be utilized at the strategic level compared to optimization of maintenance for individual pieces of equipment.
Biomimicry in the built environment: energy-saving assessment of a novel biomimetic window system
Authors: Son Juntae Jake , Kim Suk-Kyung , Syal M.G. Matt 
Published: March 2022

PurposeThe purpose of this study is to examine the energy savings in the indoor environment, using strategies that adopt the characteristics of nature, called biomimetic solutions. This research designed a biomimetic window system to bring daylight into interior spaces in educational buildings where daylight cannot be reached. Specifically, this study assessed how the daylight that was achieved via a biomimetic window system would affect energy savings using an energy simulation method.Design/methodology/approachThis study explored how biomimetic methods would affect the building environment and which biomimetic method would involve the building's energy saving with daylight. The research intended to develop a novel biomimetic window system that can bring daylight to the basement floor of an existing building on a university campus to find out how much the biomimetic window system would affect the energy savings of the building. Referring to the existing building's layout and structure, energy simulation models were developed, and the energy consumptions were estimated.FindingsSimulation models proved that the biomimetic window system has sufficient performance to bring more daylight to the basement floor of the building. Furthermore, it was confirmed that the use of the biomimetic window system for the building could reduce energy usage compared to the actual energy usage of the current building without biomimetic windows.Research limitations/implicationsFirst, this study was adopted as a computer-designed simulation method instead of using a real-world system. Although this study designed the biomimetic window system based on previous studies, it should be considered the possibility of other problems when the system is actually built in. Second, it is necessary to predict how much an initial budget is required when the system is built. It means that this study did not calculate the lifecycle cost of the biomimetic window system. It will also be necessary to compare energy consumption to the required initial budget. Lastly, this study was simulated based on weather data in cold regions, and it did not compare/analyze different climate regions. Different results may be predicted if the biomimetic window system is built in different climatic regions.Originality/valueThis research showed new practical ways to capture and transmit solar heat and light using a biomimetic solution. Furthermore, using the proposed novel biomimetic window system, the amount of energy reduction can be calculated, and this method could be applied in the interior non-window spaces of academic and related types of buildings.
GIS mapping used as supplementary tool to experimentally investigated subgrade soil for robust pavement design in rural area of Ethiopia
Authors: Anka Eldana Ayka , Dasho Defaru Katise , Dirate Democracy Dilla , Lohani Tarun Kumar 
Published: March 2022

Purpose
This paper aims to present physical and geotechnical study in terms of experimental field and laboratory investigations of the subgrade soils in severely damaged and highly degraded road section with numerous potholes between Chencha to Ezo towns of Ethiopia needs to be addressed for a robust pavement.

Design/methodology/approach
Eighteen soil samples were collected from 18 km road stretch at a kilometer interval by considering variation and composition of soils along the road alignment. The field density with dry density, natural moisture content, consistency limit, compaction and California Bearing Ratio (CBR) were determined.

Findings
Soils were classified predominantly as silty-clay that replicates its expansive nature, characterized as bad to medium subgrade. The average optimum moisture content and maximum dry density are 17.18% and 1.83 g/cc, whereas the average CBR and swell as 8.40% and 1.49%, respectively. The investigated results indicated that the indispensable way for a stable and durable road subgrade in the existing silty clayey soil requires a capping layer. The results were uploaded into ArcGIS platform to create interactive maps for spatial distribution, composition and strength of the subgrade properties.

Originality/value
Experimental investigation of subgrade soils by scientific procedures and presenting important properties through integrated approach using ArcGIS Mapping for the road pavement design and construction purpose of under developed areas like Chencha-Ezo. ArcGIS-based mapping of all required and numerical subgrade properties with a single click using ArcGIS tool is the main significance and contribution of this study. To the best of the authors’ knowledge, this paper is original, and all the references are properly cited.