bluuebunny/crossref_metadata_2025_split huggingface dataset:
An experimental investigation of BPMN-based corporate communications modeling
Authors: Polančič Gregor , Orban Boštjan 
Published: January 2023

PurposeDespite corporate communications having an immense impact on corporate success, there is a lack of dedicated techniques for their management and visualization. A potential strategy is to apply business process management (BPM) approach with business process model and notation (BPMN) modeling techniques.Design/methodology/approachThe goal of this study was to gain empirical insights into the cognitive effectiveness of BPMN-based corporate communications modeling. To this end, experimental research was performed in which subjects tested two modeling notations – standardized BPMN conversation diagrams and a BPMN extension with corporate communications-specific concepts.FindingsStandard conversation diagrams were demonstrated to be more time-efficient for designing and interpreting diagrams. However, the subjects made significantly fewer mistakes when interpreting the diagrams modeled in the BPMN extension. Subjects also evolved positive perceptions toward the proposed extension.Practical implicationsBPMN-based corporate communications modeling may be applied to organizations to depict how formal communications are or should be performed consistently, effectively and transparently by following and integrating with BPM approaches and modeling techniques.Originality/valueThe paper provides empirical insights into the cognitive effectiveness of corporate communications modeling based on BPMN and positions the corresponding models into typical process architecture.
Trends in knowledge management research in small businesses
Authors: Shekhar  , Valeri Marco 
Published: January 2023

Purpose
This paper aims to map the knowledge management research in small businesses and suggest future actions to strengthen managerial practices. Knowledge management practices foster the growth of small businesses. They allow innovation to grow within the institutions, enhance customer satisfaction and reduce employee absenteeism and attrition.

Design/methodology/approach
The study adopts a bibliometric protocol to retrieve the 686 articles published in the Web of Science (WoS) database. The WoS database is selected to ensure only quality and peer-reviewed publications are analysed in the study. It then identifies the top contributions, and existing thematic areas, and suggests future research and policy actions for boosting economic growth through small business. The study uses VOSviewer, Science of Science (Sci2) and Gephi to conduct the bibliometric and network analysis.

Findings
The results from keyword co-occurrence and co-citation analysis helps in identifying thematic areas. The findings highlight that there exist five major themes in knowledge management research for small businesses. The dynamic co-citation analysis helps in tracing the evolution of these clusters and suggests future themes, research directions and methodological advances in the theme. PageRank analysis helps in identifying the top articles published on high-impact journals in the theme.

Research limitations/implications
The study helps researchers by summarising existing literature and identifying key thematic areas. It also assists policymakers by recommending actions to improve knowledge management practises in small businesses to gain a competitive advantage. The paper suffers from the limitations of bibliometric analysis. The sample is collected from a single data source and a single type (journal articles) and the statistical accuracy of the analysis depends on the quality of the sample.

Originality/value
The study’s originality lies in using fit-for-purpose software in clustering the research and suggesting actions. To the best of the authors’ knowledge, this study is one of its kind in applying bibliometrics in studying and covering several aspects of knowledge management in small businesses with a combination of software.
An SEM-ANN analysis of the impacts of Blockchain on competitive advantage
Authors: Leong Lai-Ying , Hew Jun-Jie , Lee Voon-Hsien , Tan Garry Wei-Han , Ooi Keng-Boon , Rana Nripendra P. 
Published: January 2023

PurposeThough Blockchain has been studied in numerous contexts, the understanding of the impacts of Blockchain in achieving competitive advantages remains unexplored. Many industries, organizations and firms are still in a “wait and see” mode. This study aims at examining the effects of the technological, organizational and environmental factors drawn from the TOE framework in generating competitive advantage.Design/methodology/approachA dual-staged deep learning structural equation modeling artificial neural network analysis was conducted on 211 samples of small and medium enterprises. Four neural network models were engaged to rank the normalized importance of each of the predictor variables.FindingsThe research model can expound 57.99 and 47.33% of the variance in Blockchain adoption and competitive advantage correspondingly. The study successfully identified nonlinear relationships. The theoretical and managerial contributions are useful to scholars and practitioners such as industrial players, investors, chief executive officers (CEOs), managers, decision-makers and other stakeholders that intend to use Blockchain technology.Originality/valueUnlike the existing technological–organizational–environmental (TOE) framework that uses a linear model and theoretically assumes that all relationships are linear, this has been the first study, which has successfully validated that there exist nonlinear relationships in the TOE framework. Further, very little has been theorized on the impacts of Blockchain adoption on competitive advantage, especially in the context of SMEs. Therefore, this study is the first one to provide the necessary theoretical foundation that may further extend the current knowledge of Blockchain technology adoption and its impacts.
Should the monetary authorities be sensitive to inequality concerns? Empirical evidence for a panel of 62 countries
Authors: Martín-Legendre Juan Ignacio , Castellanos-García Pablo , Sánchez-Santos José Manuel 
Published: January 2023

PurposeThis paper aims to study, by means of an empirical approach, how monetary policy might affect the distribution of individual income.Design/methodology/approachAfter describing the channels through which monetary policy could impinge on income distribution, the authors carry out a panel analysis of 62 countries that control their monetary policy for the period 1996–2015.FindingsUsing two possible proxy variables for monetary policy (the monetary aggregate M3 and the real interest rates), the results reveal a significant positive relationship between real interest rates and income inequality measured through the market Gini coefficient and polarization ratios. The findings suggest that central bankers should be more aware of the redistributive effects of monetary policy.Research limitations/implicationsIt should be mentioned the major challenge of data limitation in the empirical investigation on the relationship between monetary policies and inequalities.Practical implicationsThe empirical evidence presented in this paper supports the premise that central bankers should not ignore the unintended redistributive consequences of their actions. In this regard, it is worth noting that if, in addition to price stability, central banks are also responsible for financial stability; the rationale behind central bank independence needs to be reconsidered.Originality/valueAn outstanding feature of the paper is its sample size and the variety of countries included in the sample, which includes countries from all continents and with very different levels of economic development. Also, unlike papers based on forecasting modeling – e.g. Vector autoregression (VAR) or Structural vector autoregression (SVAR) models, the study follows an explanatory approach, including not only monetary variables, but also a series of regressors that may have a meaningful and significant impact on inequality, according to a wide literature.
Development of halal supply chain risk management framework for frozen food industries
Authors: Kristanto Dwi , Kurniawati Dwi Agustina 
Published: January 2023

Purpose
This study aims to identify the risks, the risk agents, and the mitigation steps and then propose a halal supply chain risk management framework for frozen food halal industries, especially for the milkfish brain product.

Design/methodology/approach
Following the quantitative research design, semi-interviews with the owner of the milkfish brain company and data were analyzed using the supply chain operations reference model and the House of Risk method. The development of halal supply chain risk management framework involves several phases. First, to map the supply chain activities. Next is identifying the risk and risk agent. Then measurements of mitigations are based on the company’s resources that have a profound effect on risks such as employee activity, machinery and work environment.

Findings
The findings in this study are the prioritized mitigations for the frozen food companies, especially the milkfish brain products, are training of good manufacturing practice, making and applying halal standard operating procedure, the creation of clean-up watch schedules, halal use of raw materials and additional materials, and additional purses and facility.

Research limitations/implications
This study may further use various perspectives in supply chains such as suppliers, distributors, agents and consumers.

Practical implications
The risks, risk agents, and mitigation steps are used to develop a general framework for halal supply chain risk management which can be used by all frozen food companies, especially for milkfish brain products.

Originality/value
This study is one of few studies about halal supply chain risk management for frozen food industries. The study contributes to the effort of halal supply chain risk management by proposing general framework for milkfish brain halal supply chain risk management. The risks, risk agents and mitigation efforts are established based on impact and intensity that affect risk occurrence.
A risk-neutral approach to the RAROC method of loan pricing using account-level data
Authors: Misra Arun Kumar , Rahman Molla Ramizur , Tiwari Aviral Kumar 
Published: January 2023

PurposeThis paper has used account-level data of corporate and retail borrowers, assessed their credit risk through the risk-neutral principle and examined its implication on loan pricing.Design/methodology/approachIt derives the capital charge and credit risk-premium for expected and unexpected losses through a risk-neutral approach. It estimates the risk-adjusted return on capital as the pricing principle for loans. Using GMM regression, the article has assessed the determinants of risk-based pricing.FindingsIt has been found that risk-premium is not reflected in the current loan pricing policy as per Basel II norms. However, the GMM estimation on RAROC can price risk premium and probability of default, LGD, risk weight, bank beta and capital adequacy, which are the prime determinants of loan pricing. The average RAROC for retail loans is more than that of corporate loans despite the same level of risk capital requirement for both categories of loans. The robustness tests indicate that the RAROC method of loan pricing and its determinants are consistent against the time and type of borrowers.Research limitations/implicationsThe RAROC method of pricing effectively assesses the inherent risk associated with loans. Though the empirical findings are confined to the sample bank, the model can be used for any bank implementing the Basel principle of risk and capital assessments.Practical implicationsThe article has developed and validated the model for estimating RAROC, as per Basel II guidelines, for loan pricing that any bank can use.Social implicationsIt has developed the risk-based loan pricing model for retail and corporate borrowers. It has significant practical utility for banks to manage their risk, reduce their losses and productively utilise the public deposits for societal developments.Originality/valueThe article empirically validated the risk-neutral pricing principle using a unique 1,520 retail and corporate borrowers dataset.
The metaverse era: leveraging augmented reality in the creation of novel customer experience
Authors: Habil Sandra Gamil Metry , El-Deeb Sara , El-Bassiouny Noha 
Published: January 2023

PurposeThe main aim of this research is to portray how augmented reality (AR) characteristics (augmentation, interactivity, personalization, spatial presence, novelty, entertainment and informativeness) can enhance online customer experience (OCE).Design/methodology/approachThis study conceptualizes a new framework that proposes various relationships between AR characteristics and OCE.FindingsThis study is extending the relationships between AR and OCE by including various AR characteristics that have not been tackled by the previous research.Originality/valueThis research provides an original framework on the relationship between AR characteristics and OCE through highlighting the role of media richness theory. The study is considered the first of its kind to combine these AR characteristics and customer experience in a comprehensive framework.
Forecasting agricultural price volatility of some export crops in Egypt using ARIMA/GARCH model
Authors: Mahmoud Sayed Agbo Hanan 
Published: January 2023

PurposeThis study focuses on forecasting the price of the most important export crops of vegetables and fruits in Egypt from 2016 to 2030.Design/methodology/approachThe study applied generalized autoregressive conditional heteroskedasticity (GARCH) model and autoregressive integrated moving average (ARIMA) model.FindingsThe results show that ARIMA (1,1,1), ARIMA (2.1,2), ARIMA (1,1,0), ARIMA (1,1,2), ARIMA (0,1,0) and ARIMA (1,1,1) are the most appropriate fitted models to evaluate the volatility of price of green beans, tomatoes, onions, oranges, grapes and strawberries, respectively. The results also revealed the presence of ARCH effect only in the case of Potatoes, hence it is suggested that the GARCH approach be used instead. The GARCH (1,1) is found to be a better model in forecasting price of potatoes.Originality/valueThe study of food price volatility in developing countries is essential, since a significant share of household budgets is spent on food in these economies, so forecasting agricultural prices is a substantial requirement for drawing up many economic plans in the fields of agricultural production, consumption, marketing and trade.
Passive acoustic monitoring provides a fresh perspective on fundamental ecological questions
Authors: Ross Samuel R. P.‐J. , O'Connell Darren P. , Deichmann Jessica L. , Desjonquères Camille , Gasc Amandine , Phillips Jennifer N. , Sethi Sarab S. , Wood Connor M. , Burivalova Zuzana 
Published: January 2023

Abstract

Passive acoustic monitoring (PAM) has emerged as a transformative tool for applied ecology, conservation and biodiversity monitoring, but its potential contribution to fundamental ecology is less often discussed, and fundamental PAM studies tend to be descriptive, rather than mechanistic.

Here, we chart the most promising directions for ecologists wishing to use the suite of currently available acoustic methods to address long‐standing fundamental questions in ecology and explore new avenues of research. In both terrestrial and aquatic habitats, PAM provides an opportunity to ask questions across multiple spatial scales and at fine temporal resolution, and to capture phenomena or species that are difficult to observe. In combination with traditional approaches to data collection, PAM could release ecologists from myriad limitations that have, at times, precluded mechanistic understanding.

We discuss several case studies to demonstrate the potential contribution of PAM to biodiversity estimation, population trend analysis, assessing climate change impacts on phenology and distribution, and understanding disturbance and recovery dynamics. We also highlight what is on the horizon for PAM, in terms of near‐future technological and methodological developments that have the potential to provide advances in coming years.

Overall, we illustrate how ecologists can harness the power of PAM to address fundamental ecological questions in an era of ecology no longer characterised by data limitation.

Read the free Plain Language Summary for this article on the Journal blog.
Unravelling the relationship between plant diversity and vegetation structural complexity: A review and theoretical framework
Authors: Coverdale Tyler C. , Davies Andrew B. 
Published: January 2023

AbstractVegetation structural complexity (VSC)—the three‐dimensional distribution of plants within an ecosystem—is an important ecological trait. To date, research has focused primarily on theeffectsof VSC on ecological patterns and processes, but comparatively little is known about what drives variation in VSC.Recent advances in active remote sensing technology, particularly light detection and ranging and radio detection and ranging, have allowed the measurement of VSC at unprecedented spatial scales and resolutions. Out of this and earlier work has emerged evidence that VSC is typically associated with greater ecosystem functioning (especially microclimate regulation, productivity, faunal diversity and habitat provisioning), making restoration of vegetation complexity a potentially powerful restoration tool.Recent studies of VSC across natural and experimental gradients of plant diversity have also revealed that more diverse plant communities tend to be more structurally complex. However, the shape and generality of this relationship—and the mechanism(s) by which phytodiversity might contribute to structural complexity—remain poorly understood.Here, we review how active remote sensing has facilitated recent VSC research and shaped our understanding of the relationship between vegetation complexity and ecosystem function. We then present a theoretical framework for the relationship between phytodiversity and VSC based on classic biodiversity‐ecosystem functioning principles. Finally, we evaluate the evidence for the notion that diverse plant assemblages tend to be more structurally complex and explore the shape of the relationship between phytodiversity and VSC using data from 13 recent remote sensing studies.Synthesis. The relationship between phytodiversity and VSC appears to be almost universally positive. Preliminary evidence further suggests that the most common relationships between phytodiversity and VSC are linear or saturating, indicating that the extent of functional redundancy between species varies across plant communities and ecosystems. In contrast, we find little evidence for exponential or negative relationships between plant diversity and VSC, suggesting that even modest increases in plant diversity could markedly increase structural complexity. Additional investigations of phytodiversity‐VSC relationships are necessary to establish whether the observed positive relationships are causal (and, if so, in which direction) and to clarify the potential impact of plant community restoration on structural complexity and broader ecosystem function.
A systemic‐oriented child and adolescent psychiatric unit in Piraeus, Greece: Sailing in troubled waters
Authors: Kottorou Dimitra , Karantoni Maria , Georgitsi Athena , Rigizou Fotini , Margaroni Ariadni , Pomini Valeria 
Published: January 2023

AbstractA systemic approach to child and adolescent psychiatry involves not only the immediate family but also the wider environment in which the subject lives. Despite growing evidence confirming the effectiveness of systemic family therapy in child and adolescent psychiatry, this approach is not well represented in inpatient services in Greece. We present systemic principles as practiced at a child and adolescent psychiatric inpatient clinic embedded in a general hospital. We consider the competencies and strengths achieved by the team within a systemic epistemology, the difficulties of functioning in a biomedical‐oriented environment, and the challenges faced during the 10‐year socioeconomic crisis and the COVID‐19 pandemic.
THE POWER OF IMPENDING ZONING: Governance through Inaction in a Secondary City in Burkina Faso
Authors: Bjarnesen Jesper 
Published: January 2023

AbstractA comprehensive zoning plan has been under way for more than a decade for an urban informal settlement in Bobo‐Dioulasso, Burkina Faso. In this article I explore the narratives and strategies of its residents in response to the impending restructuring, suggesting that the continual postponements of the zoning plan's implementation may be understood as constituting an elusive form of urban governance that relegates strategies of both resistance and accommodation to formal governance to the sphere of micro‐politics at the level of the neighbourhood. Urban governance is thus approached here neither as a set of formal policies nor through the day‐to‐day workings of the state bureaucracy, but as a much less tangible form of urban governance that is best studied through its perceivable effects instead of its stated intentions or institutionalized techniques. In the relative absence of the state in the everyday lives of urban residents, the main effects of the workings of the state bureaucracy in this context seem to be to discourage citizen involvement and to slow official procedures to a halt. I argue that the force with which impending evictions and yet‐to‐be‐implemented urban zoning shape residents’ outlook and opportunities for negotiation and mobilization constitutes a form of governance through inaction.
The long‐term outcomes of vaginoplasty using acellular porcine small intestinal submucosa grafts in patients with Mayer–Rokitansky–Küster–Hauser syndrome: A case series
Authors: Xu Zhi‐yang , Li Ling‐xia , Wang Xing‐guo , Wang Meng‐xin , Cao Gai‐jing , Chen Bi‐liang , Liu Shu‐juan 
Published: January 2023

AbstractObjectiveTo investigate the long‐term outcomes for Mayer–Rokitansky–Küster–Hauser syndrome (MRKH) patients undergoing vaginoplasty using acellular porcine small intestinal submucosa grafts (SIS).DesignA case series.PopulationSeventy‐eight MRKH syndrome patients and a post‐SIS patient who delivered a baby following the world's first robot‐assisted uterus transplantation.MethodsMayer–Rokitansky–Küster–Hauser syndrome patients were grouped based on the postoperative time and the diagnosis–surgery interval. Outcomes of sexual function and psychological status were assessed using the female sexual function index (FSFI), self‐rating scale of body image (SSBI) and self‐acceptance questionnaire (SAQ). Anatomical outcomes were measured by clinicians.Main Outcome MeasuresThe primary outcome was restoration of sexual function, defined by an FSFI score in the ‘good’ range. Anatomical and psychological outcomes were also analysed.ResultsSexual function was restored in 42.3% (33/78) of patients and the total FSFI score was 23.44 ± 4.43. Three factors (body defect, recognition of physical appearance and willingness to change physical appearance scores) in the SSBI and two in the SAQ decreased as the postoperative time increased. Based on the interval between diagnosis and surgery, the total SSBI score was lower in the short‐interval group than in the long‐interval group (7.25 ± 5.55 versus 12.04 ± 10.21, p = 0.038).ConclusionsNearly half of MRKH patients in our study had good long‐term sexual function after SIS vaginoplasty. Sexual function and psychological status improved as postoperative time increased. In addition, reducing the diagnosis to surgery interval was associated with improved psychological function.