bluuebunny/crossref_metadata_2025_split huggingface dataset:
Competing logics in a hybrid organization: ICT service provision in the Italian health care sector
Authors: Maran Laura , Lowe Alan 
Published: April 2021

PurposeThis paper reports an investigation of a hybrid ex-state-owned enterprise (ex-SOE) providing ICT (Information and Communication Technology) services in the Italian healthcare sector (in-house provision). The authors aim to offer a framing that reflects the concerns expressed in the interdisciplinary literature on hybrid SOEs from management, public administration and, more recently, accounting.Design/methodology/approachThis study operationalizes Besharov and Smith’s (2014) theoretical model on multiple logics to analyze institutional structures and organizational outcomes at an ICT in-house provider. It builds on extensive textual analysis of regulatory, archival, survey and interview data.FindingsThe study results show that the combination of hybridity in the form of layering of multiple logics in the health care sector (Polzeret al., 2016) creates problems for the effectiveness of ICT provision. In particular, the hybrid organization the authors study remained stuck in established competing relationships despite a restructure of regional health care governance. The study findings also reflect on the design of organizational control mechanisms when balancing different logics.Research limitations/implicationsThe identified case-study accountability practices and performance system add to the debate on hybrid organizations in the case of ex-SOEs and facilitate the understanding and management of hybrids in the public sector. The authors note policymaking implications.Originality/valueThe authors’ operationalization of Besharov and Smith's (2014) model adds clarity to key elements of their model, notably how to identify evidence in order to disentangle notions of centrality and compatibility. By doing this, the authors’ analysis offers potential insights into both managerial design and policy prescription. The authors provide cautionary tales around institutional reorganization regarding the layered synthesis of logics within these organizations.
Benchmarking framework for sustainable manufacturing based MCDM techniques
Authors: Hichem Aouag , Mohyeddine Soltani , Abdessamed Kobi 
Published: April 2021

PurposeThe purpose of this paper is to develop a model for sustainable manufacturing by adopting a combined approach using AHP, fuzzy TOPSIS and fuzzy EDAS methods. The proposed model aims to identify and prioritize the sustainable factors and technical requirements that help in improving the sustainability of manufacturing processes.Design/methodology/approachThe proposed approach integrates both AHP, Fuzzy EDAS and Fuzzy TOPSIS. AHP method is used to generate the weights of the sustainable factors. Fuzzy EDAS and Fuzzy TOPSIS are applied to rank and determine the application priority of a set of improvement approaches. The ranks carried out from each MCDM approach is assessed by computing the spearman's correlation coefficient.FindingsThe results reveal the proposed model is efficient in sustainable factors and the technical requirements prioritizing. In addition, the results carried out from this study indicate the high efficiency of AHP, Fuzzy EDAS and Fuzzy TOPSIS in decision making. Besides, the results indicate that the model provides a useable methodology for managers' staff to select the desirable sustainable factors and technical requirements for sustainable manufacturing.Research limitations/implicationsThe main limitation of this paper is that the proposed approach investigates an average number of factors and technical requirements.Originality/valueThis paper investigates an integrated MCDM approach for sustainable factors and technical requirements prioritization. In addition, the presented work pointed out that AHP, Fuzzy EDAS and Fuzzy TOPSIS approach can manipulate several conflict attributes in a sustainable manufacturing context.
COVID-19: main challenges during construction stage
Authors: Sierra Francisco 
Published: April 2021

PurposeThis paper reviews the current literature on the major challenges faced by building contractors in the UK due to COVID-19 to create an evaluation framework.Design/methodology/approachA PRISMA scoping review systematically maps the information published and establishes the potential challenges, as a precursor to a literature review that synthesises the data available to establish an initial COVID-19 evaluation framework to build a rationale for a future series of studies.FindingsThe research identified these seven challenges: health and safety on-site, economic cost, possible legal exposures, manpower availability, instability of the supply chain and subcontractors, and the uncertainty related to the constant and unpredictable evolution of the pandemic. The magnitude of each challenge was also found to differ depending on the size of the contractor, the rigor of local regulations and the sector where the contractor works.Research limitations/implicationsThis research contributes to increasing understanding on the subject and provides an initial assessment framework, based on these seven parameters, so that contractors can analyse their weaknesses and plan specific priorities so that their companies can remain competitive, minimising the impact of COVID-19 and possible future waves.Originality/valueThis research is timely and relevant as it produces the first academic review on how COVID-19 has affected contractors and the construction stage. This document gives a holistic view of the new scenario created by COVID-19 and creates a self-assessment system for contractors to test their resistance to COVID-19.
The power of balance: interplay effects of exploitative leadership style, work–family balance and family-friendly workplace practices on innovation implementation
Authors: Garlatti Costa Grazia , Aleksić Darija , Bortoluzzi Guido 
Published: April 2021

PurposeThe purpose of this paper is to investigate the inverted U-shaped relationship that exists between exploitative leadership styles and innovation implementation. In addition, drawing on the social cognitive theory, the paper explores the effect of the three-way interaction between exploitative leadership style (ELS), work–family balance (WFB) and family-friendly workplace practices (FFWPs) on innovation implementation.Design/methodology/approachA quantitative study of 440 employees from 38 medium and large companies based in Italy and Croatia was conducted, using an online survey. The proposed hypotheses were tested using hierarchical regression analysis.FindingsThe results show that there is an inverted U-shaped curvilinear relationship between ELS and innovation implementation. Furthermore, the findings support the existence of the three-way interaction suggesting that the combination of high-level WFB and high-level FFWPs strengthens the relationship between ELS² and innovation implementation.Originality/valueThis is the first contribution that examines a curvilinear relationship between ELS and innovation implementation. Additionally, it contributes to the work–family literature by providing the first empirical examination of the joint impact of WFB and FFWPs in enhancing innovation implementation. Our results suggest that individuals who perceive a high level of WFB and who work in an organization with family-friendly practices are more accepting of an exploitative leader, and that the positive feelings from the family domain encourage the implementation of innovation. These results may change the attitudes of managers, encouraging them to consider WFB and FFWPs as important for the implementation of innovation.
Efficient path planning of drone swarms over clustered human crowds in social events
Authors: Bulut Faruk , Bektaş Melike , Yavuz Abdullah 
Published: April 2021

PurposeIn this study, supervision and control of the possible problems among people over a large area with a limited number of drone cameras and security staff is established.Design/methodology/approachThese drones, namely unmanned aerial vehicles (UAVs) will be adaptively and automatically distributed over the crowds to control and track the communities by the proposed system. Since crowds are mobile, the design of the drone clusters will be simultaneously re-organized according to densities and distributions of people. An adaptive and dynamic distribution and routing mechanism of UAV fleets for crowds is implemented to control a specific given region. The nine popular clustering algorithms have been used and tested in the presented mechanism to gain better performance.FindingsThe nine popular clustering algorithms have been used and tested in the presented mechanism to gain better performance. An outperformed clustering performance from the aggregated model has been received when compared with a singular clustering method over five different test cases about crowds of human distributions. This study has three basic components. The first one is to divide the human crowds into clusters. The second one is to determine an optimum route of UAVs over clusters. The last one is to direct the most appropriate security personnel to the events that occurred.Originality/valueThis study has three basic components. The first one is to divide the human crowds into clusters. The second one is to determine an optimum route of UAVs over clusters. The last one is to direct the most appropriate security personnel to the events that occurred.
Two sides, but not of the same coin: digitalization, productivity and unemployment
Authors: Krutova Oxana , Koistinen Pertti , Turja Tuuli , Melin Harri , Särkikoski Tuomo 
Published: April 2021

PurposeThis paper aims to examine how input from the digital restructuring of the workplace and productivity affects the risk of job loss and unemployment.Design/methodology/approachRelying on the concepts of technological unemployment and the productivity paradox as well as the theory of skills-biased technological change, the analysis incorporated micro-level individual determinants of job loss, macro-level economic determinants of input and the contribution from traditional (machinery and equipment) vs innovative (ICT) factors of production. The model has been also controlled for “traditional” indicators of “outsiderness” in the labour market. The Quality of Work Life Survey, which is a broad-based national interview survey produced by Statistics Finland, for 2018, the latest year available (N = 4,110) has been used in the analysis. Binomial logistic regression has been applied in order to estimate the effects of individual- and macro-level factors on the risk of job loss.FindingsThe results support arguments for the divergence between effects from labour- vs total-factor productivity on the risks of job loss, as well as the divergence between effects for temporary (layoff) vs permanent job loss (dismissal or unemployment). While the contribution from “traditional” factors of production to labour productivity potentially decreases the risk of permanent job loss, input from “innovative” factors of production on total-factor productivity potentially causes adverse effects (e.g. growing risks of permanent job loss).Originality/valueThe paper contributes to the theoretical discussion about technological unemployment and productivity by means of including two different concepts into a single econometric model, thus enabling examination of the research problem in an innovative way.
System reliability-redundancy allocation by the multiobjective plant propagation algorithm
Authors: Mellal Mohamed Arezki , Salhi Abdellah 
Published: April 2021

PurposeIncreasing the system reliability is one of the most important concerns in an industrial plant to become competitive. However, focusing on the overall system reliability increases the overall design cost. The problem is investigated as a multiobjective optimization problem.Design/methodology/approachIt implements the Multiobjective Plant Propagation Algorithm (PPA), also known as the Strawberry Algorithm for the system reliability-redundancy allocation problem.FindingsThe Pareto set of a pharmaceutical plant involving ten subsystems connected in series is generated in order to highlight the applicability of the algorithm.Research limitations/implicationsLimitations include the study of two objective functions.Practical implicationsIt allows the decision-maker to select the best solution according to his target.Originality/valueThis work represents the first implementation of the multiobjective PPA for solving the multiobjective system reliability optimization in the literature.
Exploring demand-side barriers to credit uptake and financial inclusion
Authors: Singh Anshu 
Published: April 2021

PurposeThe purpose of this study is to explore the demand side factors affecting financial inclusion in general and credit uptake in particular.Design/methodology/approachThe present study is descriptive and exploratory in nature and is purely based on primary data. The data collection instrument has been scientifically after thorough review of literature and seeking expert opinion. Primary data have been collected from the respondents of lower socioeconomic class in selected rural areas in the State of Maharashtra, India. Exploratory technique like factor analysis and structural equation modelling have been used to identify the inter-relations between financial inclusion and underlying barriers.FindingsThe study concludes that there are major latent issues that determine the uptake and usage of financial services, major being “operational and implementation challenges”, “financial literacy” and “affordability”. The “usage” aspect further impacts financial inclusion along with “access” variable. These are some of the most important factor for creating demand-driven approach towards financial products and services specially credit. The author concludes that the identified latent barriers with respect to the “usage” dimension of financial inclusion require greater policy attention so that it can complement the supply-side measures.Practical implicationsThe study establishes that merely having “access” through bank account ownership will not fulfil the objective of financial inclusion, and it is the “usage”, which is also important to realize the full potential of financial inclusion at the bottom of the pyramid. So, policy actions should be directed toward enhancing the “usage” aspect of financial services. The “usage” dimension could be enhanced through targeted interventions to mitigate the effect of identified latent barriers.Originality/valueThough researchers have made a mention of demand-side barriers to financial inclusion, detailed study on the topic is missing. The study is one of its kinds in exploring the severity of various demand-side barriers that determine financial inclusion. In the context of emerging economies like India, financial inclusion is often measured in terms of banking outreach and “access”. There are limited studies capturing the “usage” dimension of financial inclusion.
The influence of knowledge management on adoption intention of electric vehicles: perspective on technological knowledge
Authors: Huang Xingjun , Lin Yun , Lim Ming K. , Tseng Ming-Lang , Zhou Fuli 
Published: April 2021

PurposeTechnological innovation is one of the remarkable characteristics of electric vehicles (EVs). This study aims to analyze how consumers' technological knowledge affects their intention to adopt EVs.Design/methodology/approachOriginal data were collected via a survey of 443 participants in China. An extended technology acceptance model was constructed to identify the factors influencing consumers' intention to adopt EVs and related technological knowledge pathways.FindingsThe results show that consumer technological knowledge is positively and significantly related to EVs' perceived usefulness, perceived ease of use, perceived fun to use and consumers' intention to adopt EVs. In addition, no direct and significant relationship is found between perceived fun to use and willingness to adopt EVs, from the technical knowledge dimension.Practical implicationsImparting consumers with EV technological knowledge and usefulness may be an effective way to enhance their awareness and willingness to use EVs. Moreover, the role of females in the decision to adopt EVs should not be ignored, especially in decisions to purchase a family car.Originality/valuePrior studies lack a technological knowledge-based view, and few studies have discussed how to explore the effects of consumer technological knowledge about EVs on their adoption intention. This study fills the research gap.
Citing and referencing habits in medicine and social sciences journals in 2019
Authors: Santos Erika Alves dos , Peroni Silvio , Mucheroni Marcos Luiz 
Published: April 2021

PurposeThis article explores citing and referencing systems in social sciences and medicine articles from different theoretical and practical perspectives, considering bibliographic references as a facet of descriptive representation.Design/methodology/approachThe analysis of citing and referencing elements (i.e. bibliographic references, mentions, quotations and respective in-text reference pointers) identified citing and referencing habits within disciplines under consideration and errors occurring over the long term as stated by previous studies now expanded. Future expected trends of information retrieval from bibliographic metadata was gathered by approaching these referencing elements from the Functional Requirements for Bibliographic Records (FRBR) entities concepts.FindingsReference styles do not fully accomplish with their role of guiding authors and publishers on providing concise and well-structured bibliographic metadata within bibliographic references. Trends on representative description revision suggest a predicted distancing on the ways information is approached by bibliographic references and bibliographic catalogs adopting FRBR concepts, including the description levels adopted by each of them under the perspective of the FRBR entities concept.Research limitations/implicationsThis study was based on a subset of medicine and social sciences articles published in 2019 and, therefore, it may not be taken as a final and broad coverage. Future studies expanding these approaches to other disciplines and chronological periods are encouraged.Originality/valueBy approaching citing and referencing issues as descriptive representation's facets, findings on this study may encourage further studies that will support information science and computer science on providing tools to become bibliographic metadata description simpler, better structured and more efficient facing the revision of descriptive representation actually in progress.
Documenting information making in archaeological field reports
Authors: Huvila Isto , Sköld Olle , Börjesson Lisa 
Published: April 2021

PurposeSharing information about work processes has proven to be difficult. This applies especially to information shared from those who participate in a process to those who remain outsiders. The purpose of this article is to increase understanding of how professionals document their work practices with a focus on information making by analysing how archaeologists document their information work in archaeological reports.Design/methodology/approachIn total 47 Swedish archaeological reports published in 2018 were analysed using close reading and constant comparative categorisation.FindingsEven if explicit narratives of methods and work process have particular significance as documentation of information making, the evidence of information making is spread out all over the report document in (1) procedural narratives, (2) descriptions of methods and tools, (3) actors and actants, (4) photographs, (5) information sources, (6) diagrams and drawings and (7) outcomes. The usability of reports as conveyors of information on information making depends more on how a forthcoming reader can live with it as a whole rather than how to learn of the details it recites.Research limitations/implicationsThe study is based on a limited number of documents representing one country and one scholarly and professional field.Practical implicationsIncreased focus on the internal coherence of documentation and the complementarity of different types of descriptions could improve information sharing. Further, descriptions of concepts that refer to work activities and the situation when information came into being could similarly improve their usability.Originality/valueThere is little earlier research on how professionals and academics document and describe their information activities.
Does marketing analytics capability boost firms' competitive marketing performance in data-rich business environment?
Authors: Rahman Muhammad Sabbir , Hossain Md Afnan , Abdel Fattah Fadi Abdel Muniem 
Published: April 2021

PurposeFew well-documented studies have explained the importance of researching firms' marketing analytics capability (FMAC). In spite of its significance, there is scant attention to conceptualising and empirically investigating FMAC and its consequences in a data-driven business context. Thus, this study aims to develop and test a conceptual model that relates FMAC and its repercussions in the data-rich business environment.Design/methodology/approachThis study analysed the data from 250 managers amongst large and medium-sized manufacturing and service-intensive firms. Furthermore, this research performed an empirical study by using operationalised questionnaire survey method to verify the hypotheses and reach its theoretical and managerial implications. Structural equation modelling with maximum-likelihood estimation method was applied to verify the validity of the proposed research model.FindingsMultivariate analysis results show that FMAC significantly influences firms' competitive marketing performance (FCMP) with the presence of holistic marketing decision-making (HMDM) as a mediator. Moreover, adoption of artificial intelligence (AAI) enhances the relationship of FMAC-HMDM and FMAC-FCMP linkages.Practical implicationsThis study analyses how FMAC can enhance FCMP and contributes to resource-based views and technological capability theories. From a managerial perspective, guidelines are provided for marketers to adopt advance technologies, such as AI, to optimise FMAC and HMDM to achieve competitive marketing performance.Originality/valueBelieving that “how to be competitive in marketing performance under data-rich-environment”, this research is the first to use the data of a firm manager to facilitate the understanding of FMAC, which provides a new direction for improving marketing performance. In addition, HMDM and AAI are also proposed for firms to optimise FCMP.