bluuebunny/crossref_metadata_2025_split huggingface dataset:
Authentic leadership in a pandemic world: an exploratory study in the Indian context
Authors: Chully Arun Antony , Jose Jerin , M Luthufi 
Published: August 2022

PurposeThe purpose of this paper is to explore the strategies that helps leaders be authentic in order to be able to respond proactively and become effective in helping their organisations they lead in the context of the COVID-19 pandemic.Design/methodology/approachUsing a qualitative approach, 25 business leaders from diverse sectors were interviewed to understand what sustained them in an adverse context.FindingsResults reveal various dimensions of authentic leadership in a disruptive environment. Authentic leaders have to exhibit distinct behaviours that stems from re-examining oneself to reaffirming organisational purpose. Reimagining the work is emerged as the newer dimension to the authentic leadership considering the context of COVID-19.Practical implicationsThe results of the study provides insights for anyone leading organisations in today's disruptive business environment. The findings of this study can be used further to undertake quantitative studies to test professional relationships and understand the leadership strategies at different time frames.Originality/valueThis paper addresses the strategies that leaders successfully follow to withstand the COVID crisis and highlights the different roles and behaviours that helped leaders to address the crisis confidently.
Foreign market selection of suppliers through a novel REF-Sort technique
Authors: Aytekin Ahmet , Görçün Ömer Faruk , Ecer Fatih , Pamucar Dragan , Karamaşa Çağlar 
Published: August 2022

PurposeThe present study aims to provide a practical and robust assessment technique for assessing countries' investability in global supply chains to practitioners. Thus, the proposed approach can help decision-makers evaluate and select appropriate countries in the expansion process of the global supply chains and reduce risks concerning country (market) selection.Design/methodology/approachThe present study proposes a novel decision-making approach, namely the REF-Sort technique. The proposed approach has many valuable contributions to the literature. First, it has an efficient basic algorithm and can be applied to solve highly complicated decision-making problems without requiring advanced mathematical knowledge. Besides, some characteristics differentiate REF-Sort apart from other techniques. REF-Sort employs the value or value range that reflects the most typical characteristic of the relevant class in assignment processes. The reference values in REF-Sort and center profiles are similar in this regard. On the other hand, class references can be defined as ranges in REF-Sort. Secondary values, called successors, can also be employed to assign a value to the appropriate class. REF-Sort can also determine the reference and successor values/ranges independently of the decision matrix. In addition, the proposed model is a maximally stable and consistent decision-making tool, as it is resistant to the rank reversal problem.FindingsThe current papers' findings indicate that countries have different features concerning investment. Hence, the current paper pointed out that only 22% of the 95 countries are investable, whereas 19% are risky. Thus, decision-makers should make detailed evaluations using robust, powerful, and practical decision-making tools to make more reasonable and logical decisions concerning country selection.Originality/valueThe current paper proposes a novel decision-making approach to evaluate. According to the authors' information, the proposed model has been applied to evaluate investable countries for the global supply chains for the first time.
Climate change mitigation technologies detection and evaluation: case of buildings
Authors: Usta Ahmet Tarık , Gök Mehmet Şahin 
Published: August 2022

PurposeThe building and construction industry has a significant potential to reduce adverse climate change effects. There are plans to improve the natural resource use and greenhouse gas emissions caused by the buildings by choosing energy-efficient technologies, renewable energy sources and sustainable architectural and constructional elements. This study systematically reviews the patent data for climate change mitigation technologies related to buildings, aiming to detect their relative importance and evaluate each technology in the Y02B network.Design/methodology/approachThe applied approach covers the process of (1) selecting high-impact technology, (2) collecting patent data from the USPTO database, (3) creating a citation frequency matrix using cooperative patent classification codes, (4) linking high-impact patents with analytical network process method, (5) limiting centrality of identifying core technologies from indicators and (6) creating a technology network map with social network analysis.FindingsThe study results show that energy-saving control techniques, energy-efficient lighting devices, end-user electricity consumption, management technologies and systems that convert solar energy into electrical energy are core solutions that reduce the effects of climate change. In addition, solutions that will support core technologies and whose effects are expected to increase in the coming years are energy-efficient heating, ventilating and air conditioning systems, smart grid integration, hybrid renewable energy systems, fuel cells, free cooling and heat recovery units and glazing technologies.Originality/valueMost of the studies on patent analysis have failed to demonstrate any convincing evidence down to the lowest component groups of an entire technology network. The applied approach considers and evaluates each component included in a technology network from a holistic perspective.
Investigation of the effect of AWJ drilling parameters for delamination factor and surface roughness on GFRP composite material
Authors: Altin Karataş Meltem , Gökkaya Hasan , Akincioğlu Sıtkı , Biberci Mehmet Ali 
Published: August 2022

PurposeThe purpose of this study is to optimize processing parameters to get the smallest average surface roughness (Ra) and delamination damage (Fd) values during drilling via abrasive water jet (AWJ) of the glass fiber-reinforced polymer composite material produced at [0°/90°]s fiber orientation angles.Design/methodology/approachDrilling experiments were done via AWJ with three-axis computer numerical control (CNC) control system. Machine processing parameters such as water pressure of 3,600, 4,300, 4,800 and 5,300 bar; stand-off distance of 1, 2, 3 and 4 mm; traverse rate of 750, 1,500, 2,000 and 3,000 mm/min; and hole diameters of 8, 10, 12 and 14 mm have been selected. The effects of processing parameters in drilling experiments were investigated in conformity with the Taguchi L16 orthogonal array and the data obtained were analyzed using Minitab 17 software. The signal/noise (S/N) ratio was taken as a basis for evaluating the test results. Optimum processing conditions were determined by calculating the S/N ratio for both Ra and Fd in conformity with the “smaller is better” approximation. The effects of processing parameters on Ra and Fd were statistically investigated using analysis of variance, S/N ratio and Taguchi-based gray relational analysis. Ra and Fd were predicted by evaluating with the ANN model and were predicted with the least amount of error.FindingsIt has been determined that the most effective parameter for Ra and Fd is the water pressure and then the stand-off distance.Originality/valueThe novel approach is to reduce cost and the time spent by using Taguchi optimization as a result of AWJ drilling the material in this fiber orientation [0°/90°]s.
Helping as an opportunity and risk: an alternative side to gratitude in co-worker dyads
Authors: Harrison Jennifer A. , Budworth Marie-Hélène , Stone Thomas H. 
Published: August 2022

PurposeAs workplaces and relationships evolve with increasing complexity, co-worker dynamics have become a key concern for HR managers and scholars. An important yet overlooked aspect of co-worker dynamics is gratitude. This paper adopts a relationship-specific conceptualization of gratitude and explores its influence on prosocial behaviors within co-worker dyads. The proposed model also suggests structural-relational factors under which these relationships are affected.Design/methodology/approachThe conceptual paper draws insights from personal relationships to consider an alternative side of gratitude’s prosocial action tendencies, thereby highlighting two: risk-oriented and opportunity-oriented. These assumptions are then situated within the affect theory of social exchange to predict gratitude’s influence on prosocial behaviors within co-worker dyads.FindingsThe proposed model illuminates the importance of studying relationship-specific gratitude within co-worker relations by illustrating its effects on two types of prosocial action tendencies – opportunity-oriented and risk-oriented and varying prosocial behaviors (from convergent to divergent). Structural-relational factors, such as positional and physical distance between co-workers, are considered to affect these relationships.Originality/valueWhile the study of gratitude in the workplace is emerging, little research has examined its influence on the nature of prosocial behaviors within co-worker relations. This paper advances the notion that gratitude serves an adaptive function in co-worker dyads, thereby highlighting the risk-oriented and opportunity-oriented continuum, and its implications for the type and scope of prosocial behaviors exchanged.
The impact of institutional distance in export management: insights from Peruvian agro-exporting SMEs
Authors: Malca Oscar , Rubio Donet Jorge Luis , Marcilla-Vigo Miguel , Acedo Francisco J. 
Published: August 2022

Purpose
This study aims to analyse the joint impact of institutional distance (ID) and the generation of commercial intelligence (GCI) on export proactivity and coordination capacity, as well as the effect of these last ones on the export performance.

Design/methodology/approach
This analysis was carried out by using structural equation modelling for 89 Peruvian agro-exporting small and medium enterprises (SMEs).

Findings
This study demonstrates the positive impact of relational norms on intelligence generation, and that of the latter on coordination capacity and export proactivity. Likewise, ID has a negative impact on coordination capacity, revealing its inverse effect on this relationship.

Research limitations/implications
The paper has limitations due to its cross-sectional nature. In addition, future studies could increase the sample size and studies in other sectors for comparison purposes. Also, studies on ID in emerging countries should be deepened.

Practical implications
Managerial implications are reported and show the influence of the institutional context on the coordination capacity and export proactivity of the firm.

Originality/value
In the literature review on exporting SMEs in emerging countries, it has been little studied the impact of activities such as relationship management and ID from markets as antecedents to the GCI, export proactivity and coordination capacity as well as their effect on their export performance. Therefore, the originality relies on the insights provided by Peru, because this country bases its exports on its comparative advantages and the reactive behaviour of most of its small and medium enterprises (SMEs).
Towards a co-creation approach in the European Interoperability Framework
Authors: Casiano Flores Cesar , Rodriguez Müller A. Paula , Virkar Shefali , Temple Lucy , Steen Trui , Crompvoets Joep 
Published: August 2022

Purpose
The purpose of this paper is to propose an enhanced conceptual model for the integrated public service (IPS) functionality of the European interoperability framework (EIF). The enhanced model incorporates co-creation within the three stages of the IPS cycle. While co-creation can provide innovative routes to overcome interoperability challenges, how co-creation can be a part of the EIF has not been tackled before (Casiano Flores, et al., 2021).

Design/methodology/approach
A preferred Reporting Items for systematic reviews and meta-analyses scoping literature review was used to develop the model and identify decisive aspects of co-creation, service users and service providers. Next, a purposive snowball sampling of grey literature comprising primarily of official documentation produced by the European Union was then undertaken to further inform the central argument. Finally, the subsequent validation of the model and derived conclusions was undertaken both internally and externally by peers and experts.

Findings
Relationships between key sets of actors during co-creation are bi-directional. Furthermore, different sets of actors are, in turn, service providers and service users depending on the service provided and the stage in the public service cycle under consideration. Understanding these bi-directional interrelationships can help improve public services provided by governmental actors through collaboration with users.

Originality/value
Most public service delivery models see relationships between key stakeholders as unidirectional and one-dimensional. By contrast, this study proposes a shift in paradigm where IPS users are not passive actors and mere consumers of services but instead are key stakeholders actively participating in IPS provision.
Capturing the month of the year effect in the Indian stock market using GARCH models
Authors: Acharya Pramath Nath , Kaliyaperumal Srinivasan , Mahapatra Rudra Prasanna 
Published: August 2022

Purpose
In the research of stock market efficiency, it is argued that the stock market moves randomly and absorbs all the available information. As a result, it is quite impossible to make predictions about the possible future movement by the investors. But literatures have detected certain calendar anomalies where a day(s) in a week or month(s) in a year or a particular event in a year becomes conducive for investors to earn more than the normal. Hence, the purpose of this study is to find out the month of the year effect in the Indian stock market.

Design/methodology/approach
In this study, daily time series data of Sensex and Nifty from 1996 to 2021 is used. The study uses month dummies to capture the effect. Different variants of generalised autoregressive conditional heteroskedasticity (GARCH) models, both symmetric and asymmetric, are used in the study to model the conditional volatility in the presence month effect.

Findings
This study found the September effect in the return series of both the stock market. Apart from that, asymmetric GARCH models are found to be the best fit model to estimate conditional volatility.

Originality/value
This study is an endeavour to study month of the year effect in the Indian context. This research will provide valuable insight for studying the different calendar anomalies.
Binding pancreaticogastrostomy after pancreaticoduodenectomy and central pancreatectomy
Authors: Fan Sheung Tat 
Published: August 2022

AbstractObjectiveThe pancreatic fistula rate is high when pancreaticojejunostomy is performed in patients with soft pancreas, narrow pancreatic duct, major intraoperative bleeding and pathology of the resected pancreas other than pancreatic cancer and pancreatitis. Binding pancreaticogastrostomy (BPG) was proposed to reduce pancreatic fistula. This study aims at evaluation of BPG in prevention of pancreatic fistula.MethodsOne hundred and thirteen patients had BPG after pancreaticoduodenectomy (n = 105) or central pancreatectomy (n = 8). The BPG consisted of two purse string sutures around the pancreas stump and inner anchoring within the stomach and without suturing of the pancreas outside the stomach. The patients were categorised as negligible risk, low risk, intermediate risk and high risk of developing pancreatic fistula according to the presence of risks factors such as pancreas texture, size of pancreatic duct, volume of intraoperative bleeding and pathology of the resected pancreas. Pancreatic fistula of Grade B and C were considered as clinically relevant pancreatic fistulas (CRPF).ResultsPatients with negligible and low risk did not have pancreatic fistula. Three (6%) of 50 patients with intermediate risk and four (8.6%) of 46 patients with high risk developed CRPF (Grade B, 3 patients; Grade C, 4 patients). The overall CRPF rate was 6.2%. Non‐fistulous complication rate was 14.2%.ConclusionBPG is a feasible alternative to pancreaticojejunostomy for patients with high risk of developing pancreatic fistula.
C allele in transforming growth factor‐β1 rs1800471 gene polymorphisms might indicate a protective feature in encapsulating peritoneal sclerosis development
Authors: Bora Feyza , Aslan Bengisu , Sarı Funda , Yılmaz Fatih , Ersoy Fettah Fevzi , Köksoy Sadi , Özdem Sebahat , Küçükçetin İkbal Özen , Sipahioğlu Murat , Karakaya İbrahim , Koç Yener , Ulu Memnune Sena 
Published: August 2022

AbstractIntroductionPeritoneal fibrosis may progress in peritoneal dialysis (PD) patients to a fatal clinical condition called encapsulating peritoneal sclerosis (EPS). Transforming growth factor (TGF)‐β plays a pivotal role in the pathogenesis of peritoneal fibrosis. We aimed to investigate the association among polymorphisms in the gene encoding TGF‐β1, which were −509C/T (rs1800469), +869T/C (rs1982073), and +915G/C (rs1800471) in EPS patients.MethodsA total of 16 PD patients who were clinically and radiologically diagnosed with EPS were enrolled and 22 age‐ and gender‐matched PD patients were selected as the non‐EPS group.ResultsG allele frequency at the rs1800471 gene polymorphism was significantly higher in the EPS group than non‐EPS group (p = 0.005). Interestingly, the non‐EPS group patients had CC or CG polymorphisms.ConclusionC allele in TGF‐β1 rs1800471 gene polymorphisms might indicate a protective feature in EPS development. Knowing the presence of polymorphism may be effective in selecting renal replacement therapy in patients.
Efficacy of certain conventional and non‐conventional insecticides against a vector of dengue fever, the Aedes aegypti Mosquito in Saudi Arabia
Authors: Algamdi Abdullah G. , Mahyoub Jazem A. 
Published: August 2022

AbstractDengue fever (DF) was originally discovered and registered in the Kingdom of Saudi Arabia within the premises of the Jeddah governate (province) during 1994. Currently there is no vaccine against this type of dengue virus, however, the most practical methods of suppression and control of this fatal disease are confined to the control of its vector. This study aimed to investigate the effectiveness of six types of conventional pesticides of the pyrethroid (Icon 2.5% and Residex C‐10EC), organophosphorous (Rizfin 50% EC and Keen 600EC) and biocide (Bacilod and VectoMax) groups against the Aedes aegypti mosquito, as well as four pesticides in the insect growth regulators (IGR) groups (In 2 Mix and Starycide) and the plant oils group (lemon oil and peppermint oil). Taking the LC50 values (the concentration required for killing 50% of the individuals) into consideration, larvae of Ae. aegypti mosquitoes exhibited more susceptibility to Icon 2.5% (0.023 ppm) than Rizfin (0.032 ppm), Residex C‐10EC (0.05 ppm), Keen (0.052 ppm), VectoMax FG (0.115 ppm) and Bacilod (0.174 ppm) by approximately 1.39, 2.18, 2.26, 5.1 and 7.6 fold, respectively. Based on the IC50 values (the concentration that prevents the emergence of 50% of adults), the IGR In 2 Mix (IC50 = 0.0023 ppm) revealed more larvicidal activity against Ae. aegypti than did Starycide 480 SC (0.0047 ppm), lemon oil (11.842 ppm) and peppermint oil (17.213 ppm) by approximately 2.04, 5.15 and 7.5 fold, respectively. The differences in susceptibility levels can be attributed to the mode of action and the nature of the active ingredients of each pesticide. Generally, these bioassay tests are of great importance to provide reference for mosquito control managers and make informed decisions on the best usage of insecticides.
Tumor suppressor effect of an antibody on xenotransplanted sarcomatoid mesothelioma cells
Authors: Hasegawa Masayoshi , Hanamatsu Yuki , Saigo Chiemi , Kito Yusuke , Takeuchi Tamotsu 
Published: August 2022

AbstractBackgroundAs mesothelioma generally has an unfavorable prognosis, further advances are needed to improve the outcomes in patients with mesothelioma. In the present study, we generated and characterized a monoclonal antibody that could inhibit mesothelioma cell proliferation in a xenotransplantation mouse model.MethodsWe generated monoclonal antibodies by immunizing mice with cultured mesothelioma cells. These antibodies were then characterized by immunofluorescence staining, immunohistochemical staining, secondary antibody‐drug conjugate assay, antibody inoculation in a xenotransplantation mesothelioma mouse model, and mass spectrometry followed by small interfering RNA (siRNA) analysis. 5' rapid amplification of complementary DNA ends followed by sequencing was performed to deduce the amino acid sequences of the variable regions of the light and heavy chains of AX10.ResultsAn IgG2b κ‐type AX10 antibody against the cell surface membrane of sarcomatoid mesothelioma cells was generated. AX10 immunoreactivity was detected in 12 out of 22 different mesothelioma tissue specimens, but there was little AX10 immunoreactivity in a normal human tissue array. AX10 decreased Matrigel invasion by MPM‐1 cells but did not affect cell proliferation. Notably, AX10 significantly inhibited the proliferation of MPM‐1 cells xenotransplanted into Severe combined immunodeficiency‐Nonobese diabetic mice. Matrix‐assisted laser desorption ionization time‐of‐flight mass spectrometry followed by siRNA silencing indicated that AX10 reacted to a unique alternatively spliced isoform of sarcolemma‐associated protein. AX10 is composed of as yet unregistered amino acid sequences in its variable region.ConclusionsAX10 could have therapeutic potential for patients with sarcomatoid mesothelioma.