bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparative analyses of electrical circuits with conventional and revisited definitions of circuit elements: a fractional conformable calculus approach
Authors: Banchuin Rawid 
Published: December 2021

PurposeThe purpose of this paper is to comparatively analyze the electrical circuits defined with the conventional and revisited time domain circuit element definitions in the context of fractional conformable calculus and to promote the combined usage of conventional definitions, fractional conformable derivative and conformable Laplace transform.Design/methodology/approachThe RL, RC, LC and RLC circuits described by both conventional and revisited time domain circuit element definitions has been analyzed by means of the fractional conformable derivative based differential equations and conformable Laplace transform. The comparison among the obtained results and those based on the methodologies adopted in the previous works has been made.FindingsThe author has found that the conventional definitions-based solution gives a physically reasonable result unlike its revisited definitions-based counterpart and the solutions based on those previous methodologies. A strong agreement to the time domain state space concept-based solution can be observed. The author has also shown that the scalar valued solution can be directly obtained by singularity free conformable Laplace transform-based methodology unlike such state space concept based one.Originality/valueFor the first time, the revisited time domain definitions of resistance and inductance have been proposed and applied together with the revisited definition of capacitance in electrical circuit analyses. The advantage of the combined usage of conventional time definitions, fractional conformable derivative and conformable Laplace transform has been suggested and the impropriety of applying the revisited definitions in circuit analysis has been pointed out.
Carbon emissions management in construction operations: a systematic review
Authors: Joseph Verona Ramas , Mustaffa Nur Kamaliah 
Published: December 2021

PurposeThe demand to reduce carbon emissions has become an increasingly important social factor due to the unprecedented impacts of climate change. However, most existing publications have focused on minimizing emissions during the operational phase of buildings. At the same time, there is a lack of comprehensive research conducted on carbon emissions, specifically during the construction phase. The purpose of this paper is to identify, review and classify current practices related to carbon emissions management in construction operations to gain greater insight into how to reduce and mitigate emissions and achieve more sustainable solutions.Design/methodology/approachThis study reviewed the published literature on carbon emissions from construction. A total of 198 bibliographic records were extracted from the Scopus collection database and analyzed using Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA). PRISMA is used as a basis for reporting possible trends, research methods and strategies used in published literatures. A total of 99 papers related to carbon emissions in the construction operations were further reviewed and analyzed. This review paper draws on existing research and identifies current carbon management patterns in construction projects.FindingsData indicated an upward trend in the number of publications in carbon emissions research during the last few years, particularly in 2015, 2017 and 2019. The most significant contributions to the domain were reported from China, Europe and the USA. This paper found that most studies conduct the Life Cycle Assessment (LCA) method to estimate carbon emissions. This paper found that the primary studies have focused on construction machinery and equipment emissions. The strategies such as establishing uniform standards for carbon emissions policies and regulations, equipment and logistic planning and low carbon design material will potentially impact carbon emissions reductions.Practical implicationsThis paper provides information that will be beneficial for the construction industry to design and manage construction operations. It will also be of interest to those looking to reduce or manage construction emissions.Originality/valueAlthough there is a diversity of current thinking related to the practical estimation and management of carbon emissions in construction projects, there is no consolidated set of keys of standardized carbon emissions management in practice. By assessing the existing paradigms of carbon assessment methods and tactics in the construction industry, this study contributed to the existing knowledge base by providing insights into current techniques in the construction sector for monitoring and mitigating emissions.
Information and material delays effect on price setting, operating contribution margins and cash conversion cycles in feed ingredients supply chain
Authors: Fraiha Marcos 
Published: December 2021

PurposeThe purpose of this report was to evaluate the effectiveness and practicality of system dynamics modeling in integrating econometric equations to describe the effects of supply chain material and information delays on pricing decisions and consequent financial results in an animal feed export business.Design/methodology/approachAn empirical dynamic model, loaded with econometric theory of price effect on competitive demand, was used to describe the input data.FindingsThe model simulation outputs proved themselves relevant in analyzing the complex interconnections of multiple variables affecting the profitability in a commercial routine, supporting the decision process among sales managers. The impact of information delay on price decisions and business financial results were estimated using the model proposed.Originality/valueThis paper describes an empirical model, based on system dynamics, that predicts operating contribution margins and cash conversion cycles based on estimation of information and material delays in a supply chain. The method is pragmatic and simple for business routine implementation.
Selection of strategy for reverse logistics implementation
Authors: Prajapati Himanshu , Kant Ravi , Shankar Ravi 
Published: December 2021

Purpose
Reverse logistics has attracted many industries due to product recalls, enormous waste generation, competitive reasons, vast opportunity in the waste management market, and to get the maximum value out of waste recovery. Selection of the right implementation strategy is vital for reverse logistics to function efficiently. Therefore, this research aims to evaluate the criteria for selecting reverse logistics strategy and help to choose the preferred strategy for its implementation.

Design/methodology/approach
Three reverse logistics implementation strategies, namely, in-house, joint venture and outsourcing, are proposed. A novel hybrid fuzzy analytical hierarchy process (F-AHP) and fuzzy measurement of alternatives and ranking according to COmpromise Solution (F-MARCOS) based framework is developed to fulfil the research objective. A survey is performed on Indian manufacturing industry to demonstrate the applicability of the proposed framework.

Findings
The result shows that government policy and regulations, reverse logistics risks and reduced emission have prime importance for a manufacturing industry which needs to implement reverse logistics into its supply chain. Outsourcing is the preferred reverse logistics strategy followed by joint venture and in-house that a manufacturing firm in India can implement.

Research limitations/implications
The research results are based on the responses of the survey received. This research considers various industry sectors to test the applicability of the framework. However, for actual implementation, this survey must first be limited to a particular industry as the results will apply to that industrial sector only.

Practical implications
This developed framework simplifies the procedure of selecting the strategy when the industry needs to implement reverse logistics. For industries working with a smaller set of criteria, this framework is a powerful and dynamic approach for reducing and choosing the most pertinent one that helps accomplish their objectives of reverse logistics implementation strategy selection.

Originality/value
Based on the literature and current applicability of reverse logistics, this research proposes three models to implement reverse logistics in Indian industries. A novel hybrid F-AHP and F-MARCOS based framework is developed to handle the selection of suitable reverse logistics strategy.
Economics of savings-based finance: an interest-free model of rotating savings and credit association in Turkey
Authors: Dinç Yusuf , Jahangir Rashed , Nagayev Ruslan , Çakır Fahrettin 
Published: December 2021

Purpose
The emerging markets have been witnessing a remarkable revival of rotating savings and credit associations (ROSCAs) serving as alternative informal financing and investment platforms, also known as savings-based finance (SBF) in Turkey. The purpose of this study is to present the SBF model mathematically, analyse the performance of the SBF sector and propose a new Sharīʿah-compliant SBF model for the acquisition of durables.

Design/methodology/approach
The paper thoroughly reviews the concept and practice of ROSCA across the globe, mathematically models and empirically analyses the performance of Turkish SBF companies using a unique data set.

Findings
The study formulates a two-person SBF model and proposes a Mudarabah-Wakalah hybrid model with a new investment feature. It is found that the concept of ROSCA is being operationalized in 105 countries across the globe under different names with slight business model modifications. The research also reveals that the demand for financing of durables in Turkey significantly increased in recent years with the demand for housing is twice greater compared to vehicles. Most importantly, a strong significant inter- and intra-comovement is observed between these durables implying that the success of the sector in one segment has attracted the customers to other SBF products. It shows that the SBF institutions can effectively serve as the alternative financing houses for pooling savings and financing the durables, and they have strong potential to capture a larger financial market share in Turkey and even globally.

Originality/value
The study constructs mathematical models and proposes a new investment wing to an existing SBF wealth fund.
Industry 4.0 transition: a systematic literature review combining the absorptive capacity theory and the data–information–knowledge hierarchy
Authors: Ardito Lorenzo , Cerchione Roberto , Mazzola Erica , Raguseo Elisabetta 
Published: December 2021

PurposeThe effect of the transition toward digital technologies on today’s businesses (i.e. Industry 4.0 transition) is becoming increasingly relevant, and the number of studies that have examined this phenomenon has grown rapidly. However, systematizing the existing findings is still a challenge, from both a theoretical and a managerial point of view. In such a setting, the knowledge management (KM) discipline can provide guidance to address such a gap. Indeed, the implementation of fundamental digital technologies is reshaping how firms manage knowledge. Thus, this study aims to critically review the existing literature on Industry 4.0 from a KM perspective.Design/methodology/approachFirst, the authors defined a structuring framework to highlight the role of Industry 4.0 transition along with absorptive capacity (ACAP) processes (acquisition, assimilation, transformation and exploitation), while specifying what is being managed, that is data, information and/or (actual) knowledge, according to the data-information-knowledge (DIK) hierarchy. The authors then followed the systematic literature review methodology, which involves the use of explicit criteria to select publications to review and outline the stages a process has to follow to provide a transparent and replicable review and to analyze the existing literature according to the theoretical framework. This procedure yielded a final list of 150 papers.FindingsBy providing a clear picture of what scholars have studied so far on Industry 4.0 transition, in terms of KM, this literature review highlights that among all the studied digital technologies, the big data analytics technology is the one that has been explored the most in each phase of the ACAP process. A constructive body of research has also emerged in recent years around the role played by the internet of things, especially to explain the acquisition of data. On the other hand, some digital technologies, such as cyber security and smart manufacturing, have largely remained unaddressed. An explanation of the role of these technologies has been provided, from a KM perspective, together with the business implications.Originality/valueThis study is one of the first attempts to revise the literature on Industry 4.0 transition from a KM perspective, and it proposes a novel framework to read existing studies and on which to base new ones. Furthermore, the synthesis makes two main contributions. First, it provides a clear picture of the different digital technologies that support the four ACAP phases in relation to the DIK hierarchy. Accordingly, these results can emphasize what the literature has looked at so far, as well as which digital technologies have gained the most attention and their impacts in terms of KM. Second, the synthesis provides prescriptive considerations on the development of future research avenues, according to the proposed research framework.
Corporate social responsibility and biotechnological foods: an experimental study on consumer’s behaviour
Authors: Boccia Flavio , Covino Daniela 
Published: December 2021

PurposeNew food technologies based on biotechnological organisms are increasingly becoming a cause for debate and conflicting discussions. This paper aims to investigate hypothetical consumer behaviour, and the willingness to pay (WtP), towards a specific type of genetically modified food in relation to particular indications on the label about the implementation of corporate social responsibility (CSR) initiatives by manufacturing companies.Design/methodology/approachFor this purpose a choice experiment was used on a representative sample of more 1,300 Italian families, interviewing the component in charge of the buying choices within the selected household. A random parameter logit-error component model allows for heterogeneity in consumer preferences and potential correlation across utilities and across taste parameters. Beyond investigating consumers’ preferences regarding that product through a choice experiment, the aim was to detect the drivers of that purchase and preference heterogeneity across consumers’ choice, and the WtP, for the products with those features.FindingsResults also offer a topic for further discussion and are useful for companies’ strategies to understand how to address such concerns through appropriate CSR policies. The main results are: CSR initiatives always have a strong effect on consumer choice; the price is consistently important, exerting a negative influence in the decision-making process for individuals; consumers may also know possible effects of genetically modified foods, but that does not always translate into purchase behaviour.Originality/valueThe research considers a particular link between genetically modified food and CSR not addressed in details; moreover, it is also based on the author’s own previous research and is its natural continuation and development, but also important for future researches.
Antecedent factors of violation of information security rules
Authors: Cappellozza Alexandre , Moraes Gustavo Hermínio Salati Marcondes de , Perez Gilberto , Simões Alessandra Lourenço 
Published: December 2021

Purpose
This paper aims to investigate the influence of moral disengagement, perceived penalty, negative experiences and turnover intention on the intention to violate the established security rules.

Design/methodology/approach
The method used involves two stages of analysis, using techniques of structural equation modeling and artificial intelligence with neural networks, based on information collected from 318 workers of organizational information systems.

Findings
The model provides a reasonable prediction regarding the intention to violate information security policies (ISP). The results revealed that the relationships of moral disengagement and perceived penalty significantly influence such an intention.

Research limitations/implications
This research presents a multi-analytical approach that expands the robustness of the results by the complementarity of each analysis technique. In addition, it offers scientific evidence of the factors that reinforce the cognitive processes that involve workers’ decision-making in security breaches.

Practical implications
The practical recommendation is to improve organizational communication to mitigate information security vulnerabilities in several ways, namely, training actions that simulate daily work routines; exposing the consequences of policy violations; disseminating internal newsletters with examples of inappropriate behavior.

Social implications
Results indicate that information security does not depend on the employees’ commitment to the organization; system vulnerabilities can be explored even by employees committed to the companies.

Originality/value
The study expands the knowledge about the individual factors that make information security in companies vulnerable, one of the few in the literature which aims to offer an in-depth perspective on which individual antecedent factors affect the violation of ISP.
How preferences for types of appreciation differ across employee age groups
Authors: White Paul , George Gene 
Published: December 2021

PurposeOrganizational leaders and human resource professionals affirm that to have (and keep) an effective workforce, understanding one’s employees is critical. Thus, understanding the differences between employees of different age groups is important. Simultaneously, studies have demonstrated the significant positive impact appreciation has on the functioning of organizations. When team members feel truly valued, numerous positive benefits result, including lower staff turnover, less absenteeism, higher customer ratings and greater profitability.Design/methodology/approachBecause individuals prefer to be shown appreciation in different ways and prior research has shown some age differences, this study examined how appreciation preferences differ across seven employee age groups. Over 190,000 individuals completed an online assessment based on the five languages of appreciation, which identifies employees’ preferred ways of receiving appreciation. The respondents were separated into seven age groups, from 19 years old and younger to 70 years old and above.FindingsThe results of an analysis of variance found that there were significant differences across groups. Although the patterns of preferences were largely the same across many groups, post hoc analyses found both the youngest and oldest age groups differed from employees in their 30s with regards to their desire for quality time. Additionally, older employees were extremely low in their desire for tangible gifts.Originality/valueAs the proportion of employees shifts from older to younger groups of employees, these results raise important implications for organizations’ approaches regarding how appreciation and other motivators should be adjusted for different groups of employees.
Biogeography of culturable marine bacteria from both poles reveals that ‘everything is not everywhere’ at the genomic level
Authors: Qin Qi‐Long , Wang Zhi‐Bin , Cha Qian‐Qian , Liu Sha‐Sha , Ren Xue‐Bing , Fu Hui‐Hui , Sun Mei‐Ling , Zhao Dian‐Li , McMinn Andrew , Chen Yin , Chen Xiu‐Lan , Zhang Yu‐Zhong , Li Ping‐Yi 
Published: December 2021

SummaryBased on 16S rRNA gene analyses, the same bacterial operational taxonomic units (OTUs) are common to both the Arctic and Antarctic oceans, supporting the concept ‘everything is everywhere’. However, whether the same OTUs from both poles have identical genomes, i.e. whether ‘everything is still everywhere’ at the genomic level has not yet been examined systematically. Here, we isolated, sequenced and compared the genomes of 45 culturable marine bacteria belonging to three genera of Salinibacterium, Psychrobacter and Pseudoalteromonas from both polar oceans. The bacterial strains with identical 16S rRNA genes were common to both poles in every genus, and four identical genomes were detected in the genus Salinibacterium from the Arctic region. However, no identical genomes were observed from opposite poles in this study. Our data, therefore, suggest that ‘everything is not everywhere’ at the genomic level. The divergence time between bacteria is hypothesized to exert a strong impact on the bacterial biogeography at the genomic level. The geographical isolation between poles was observed for recently diverged, highly similar genomes, but not for moderately similar genomes. This study thus improves our understanding of the factors affecting the genomic‐level biogeography of marine microorganisms isolated from distant locations.
Organizational Behaviour in the COVID‐19 Context: Effects of Supervisor‐Directed Deviance on Retaliation against Subordinates
Authors: Kakarika Maria , Lianidou Theano , Qu Yuanmei (Elly) , Bligh Michelle C. 
Published: December 2021

AbstractPrevious research mostly examines supervisor‐directed deviance as a subordinate's reaction to the supervisor's abusive behaviour while ignoring the perspective of supervisors as potential victims of deviant behaviour. Additionally, COVID‐19 has deeply affected organizational climate and workplace behaviour. Therefore, drawing on the affective events theory, we examined the COVID‐19 pandemic as a context shaping the effects of supervisor‐directed deviance on retaliation against subordinates in the United States. We conducted two quasi‐experiments with pre‐ and post‐COVID‐19 (Study 1, n = 97) and Wave 1–Wave 3 pandemic study designs (Study 2, n = 94), respectively, and found that supervisor‐directed deviance triggered felt leader identity threat, consequently leading to retaliation against subordinates; this indirect effect strengthened as the pandemic progressed. We replicated these findings using a field study during the third wave of the pandemic (Study 3, n = 190), which established external validity by expanding the types of deviant and retaliatory behaviours examined. The results further showed that low COVID‐19‐induced empathic concern strengthened the effect of felt leader identity threat on retaliatory responses. Overall, our paper contributes to the literatures on retaliation and supervisor‐directed deviance and opens avenues for research on the pandemic's impact on organizational behaviour.