bluuebunny/crossref_metadata_2025_split huggingface dataset:
A load-balanced hybrid heuristic for allocation of batch of tasks in cloud computing environment
Authors: Shiekh Sophiya , Shahid Mohammad , Sambare Manas , Haidri Raza Abbas , Yadav Dileep Kumar 
Published: October 2022

Purpose
Cloud computing gives several on-demand infrastructural services by dynamically pooling heterogeneous resources to cater to users’ applications. The task scheduling needs to be done optimally to achieve proficient results in a cloud computing environment. While satisfying the user’s requirements in a cloud environment, scheduling has been proven an NP-hard problem. Therefore, it leaves scope to develop new allocation models for the problem. The aim of the study is to develop load balancing method to maximize the resource utilization in cloud environment.

Design/methodology/approach
In this paper, the parallelized task allocation with load balancing (PTAL) hybrid heuristic is proposed for jobs coming from various users. These jobs are allocated on the resources one by one in a parallelized manner as they arrive in the cloud system. The novel algorithm works in three phases: parallelization, task allocation and task reallocation. The proposed model is designed for efficient task allocation, reallocation of resources and adequate load balancing to achieve better quality of service (QoS) results.

Findings
The acquired empirical results show that PTAL performs better than other scheduling strategies under various cases for different QoS parameters under study.

Originality/value
The outcome has been examined for the real data set to evaluate it with different state-of-the-art heuristics having comparable objective parameters.
Enhanced cipher text-policy attribute-based encryption and serialization on media cloud data
Authors: R. Mohan Naik , Gadiyar H. Manoj T. , M. Sharath S. , Bharathrajkumar M. , K. Sowmya T. 
Published: October 2022

Purpose
There are various system techniques or models which are used for access control by performing cryptographic operations and characterizing to provide an efficient cloud and in Internet of Things (IoT) access control. Particularly in cloud computing environment, there is a large-scale distribution of these traditional symmetric cryptographic techniques. These symmetric cryptographic techniques use the same key for encryption and decryption processes. However, during the execution of these phases, they are under the problems of key distribution and management. The purpose of this study is to provide efficient key management and key distribution in cloud computing environment.

Design/methodology/approach
This paper uses the Cipher text-Policy Attribute-Based Encryption (CP-ABE) technique with proper access control policy which is used to provide the data owner’s control and share the data through encryption process in Cloud and IoT environment. The data are shared with the the help of cloud storage, even in presence of authorized users. The main method used in this research is Enhanced CP-ABE Serialization (E-CP-ABES) approach.

Findings
The results are measured by means of encryption, completion and decryption time that showed better results when compared with the existing CP-ABE technique. The comparative analysis has showed that the proposed E-CP-ABES has obtained better results of 2373 ms for completion time for 256 key lengths, whereas the existing CP-ABE has obtained 3129 ms of completion time. In addition to this, the existing Advanced Encryption Standard (AES) scheme showed 3449 ms of completion time.

Originality/value
The proposed research work uses an E-CP-ABES access control technique that verifies the hidden attributes having a very sensitive dataset constraint and provides solution to the key management problem and access control mechanism existing in IOT and cloud computing environment. The novelty of the research is that the proposed E-CP-ABES incorporates extensible, partially hidden constraint policy by using a process known as serialization procedure and it serializes to a byte stream. Redundant residue number system is considered to remove errors that occur during the processing of bits or data obtained from the serialization. The data stream is recovered using the Deserialization process.
Integrating an evolutionary perspective of “self-concept” in consumer research
Authors: Das Parthasarathi , Pingali Venugopal 
Published: October 2022

PurposeThe purpose of the study is to propose a framework for understanding the dynamism of the human self-system from evolutionary and socio-psychological perspective. The study aims to help scholars interested to use an evolutionary lens for examining consumer behaviour.Design/methodology/approachRelying on the principle of self-cybernetics, the study proposed a general framework explaining the operating mechanism of human self-system. The proposed framework incorporates the socio-psychological and the evolutionary perspective of the human self-concept.FindingsThe framework may help consumer scholars to integrate socio-psychological and evolutionary theories to produce novel and testable hypotheses.Originality/valueTo the best of the authors’ knowledge, this is the first attempt to propose a framework based on the principle of cybernetics to facilitate the use of an evolutionary lens in consumer research.
Role of Industry 4.0 in circular supply chain management: a mixed-method analysis
Authors: Faisal Mohd Nishat 
Published: October 2022

PurposeThe major purpose of this study is to investigate the role of Industry 4.0 in circular supply chain management (CSCM). The study also identifies variables that positively influence circular performance of a supply chain and examines the relationships among them.Design/methodology/approachThis research uses a novel mixed-method exploratory methodology with sequential design. To understand the relationships among the enablers and the role of Industry 4.0 in circular performance of supply chain, a qualitative method (interpretive structural modeling) was utilized. Following the qualitative phase, a questionnaire based quantitative study was conducted and the hypothesized mediating relationships were evaluated through smart-PLS structural equation modeling tool.FindingsThe findings of interpretive structural modeling (ISM) model revealed the hierarchical relationships among the enablers of circular supply chain management based on their relative importance. The variables were clustered in three groups of driver, dependent and linkage variables. The results of the structural model indicated that Industry 4.0 play a mediating role between the driver and dependent variables that influence circular performance in a supply chain.Practical implicationsThe research offers practical insights for supply chains moving in the direction of zero waste by highlighting the important variables that require actions from different stakeholders. The research also reveals the importance of integrating Industry 4.0 technologies in restorative and regenerative cycles of circular supply chain.Originality/valueThe originality of the research stems from the scarcity of research on circular supply chain management. The authors argue about the critical role that Industry 4.0 can play in achieving circularity in supply chains.
Corporate governance, competition and earnings management: evidence from Asian emerging economies
Authors: Shira Ruba Khalid 
Published: October 2022

Purpose
This paper aims to explore the nexus between corporate governance, competition and earnings management (EM) in Asian emerging economies.

Design/methodology/approach
The authors used a sample of 116 banks from 10 Asian emerging economies from 2010 to 2021. To measure corporate governance, the board size, chief executive officer duality and ownership concentration are used. Competition is captured with Herfindahl-Hirschman Index (HHI) and Lerner index (LI). Although earning management is measured through discretionary accruals. The authors use fixed effect regression for hypothesis testing. However, dynamic panel system generalised method of moments estimation is used to confirm the robustness of the results.

Findings
The authors find that corporate governance and competition are significantly related to earning management practices of banks in emerging Asian economies. The authors report similar outcomes with both estimation methods verifying the reliability of results.

Originality/value
The findings of the study have implications for corporate regulatory authorities, management and investors in the Asian emerging economies. Banks in the Asian emerging economies need to pay more attention to factors such as governance and competition to avoid EM.
Embedded finance: assessing the benefits, use case, challenges and interest over time
Authors: Ozili Peterson K. 
Published: October 2022

PurposeThis paper presents an overview of embedded finance. It identifies the applications, use case examples, benefits and challenges of embedded finance. The paper also analyzes global interest in embedded finance and compares it with interest in related finance concepts such as open finance, open banking, decentralized finance, financial innovation, Fintech and digital finance.Design/methodology/approachGranger causality test and two-stage least square regression were used to assess interest over time in embedded finance.FindingsThe empirical result show that interest in embedded finance increased significantly during the COVID-19 pandemic. The United States, the United Kingdom and India witnessed the highest interest in embedded finance compared to other countries. There is bi-directional Granger causality between interest in information about embedded finance and interest in information about financial innovation. There is uni-directional Granger causality between interest in information about embedded finance and interest in information about digital finance and open finance. The findings also reveal that interest in decentralized finance and open finance are significant determinants of interest in embedded finance. On the other hand, interest in embedded finance is a significant determinant of interest in digital finance, decentralized finance, Fintech and open banking. Also, interest in embedded finance is significantly correlated with interest in digital finance, decentralized finance, open banking and Fintech.Originality/valuePresently, there is little academic interest in embedded finance despite the fact that embedded finance is part of the on-going digital finance revolution. This paper fills this gap in the literature by assessing the benefits, use case, challenges of embedded finance.
Love the star, love the team? The spillover effect of athlete sub brand to team brand advocacy in online brand communities
Authors: Wong Amy , Hung Yu-Chen 
Published: October 2022

Purpose
This paper aims to examine the antecedents of brand passion and brand community commitment, namely, self-congruity and athlete attraction, as well as their effects on online brand advocacy in online brand communities.

Design/methodology/approach
The sample comprises members of a Facebook football fan club brand community. An online survey measuring athlete-level factors, team-level factors and online brand advocacy provides data to test the conceptual framework using structural equation modeling with partial least squares (PLS-SEM).

Findings
The findings of this paper support the positive spillover effect from athlete subbrand to team brand advocacy, as self-congruity exerted positive effects on brand passion and brand community commitment, while athlete attraction influenced brand community commitment, leading to online brand advocacy.

Research limitations/implications
The findings validate the dimensions of online brand advocacy and advance research on sports brand hierarchy in brand architecture by establishing the transference effect from athlete to the team brand.

Practical implications
To effectively manage their brands online, brand managers need to pay attention to the powerful and multifaceted tool of online brand advocacy. Brand managers can capitalize on their active advocates by working closely with them to co-create uplifting and authentic brand stories that are worthwhile for sharing, especially in times of crisis.

Originality/value
Building on the developmental trajectory of brand love and vicarious brand experience, the findings verify the directionality of the spillover effect and offer insights into the development of brand advocacy across different brand levels.
Salesmanship: the influence of social networks on sales-service ambidexterity
Authors: Zheng Xiaoyong 
Published: October 2022

PurposeAlthough social networks play an important role in individual ambidexterity, few studies have examined the impact of salespeople's social networks on sales-service ambidexterity. The purpose of this paper is to explore how salespeople's internal and external social networks affect sales-service ambidexterity.Design/methodology/approachThe unique data of 331 salespeople from 39 units in retail banking industry and insurance industry were collected, and the hierarchical linear model was adopted to test the hypotheses. Finally, the alternative measure of the dependent variable and the alternative estimation method were adopted for robustness test.FindingsThe results show that the strength of salespeople's internal social networks and the extensiveness of salespeople's external social networks could facilitate sales-service ambidexterity of salespeople separately and synergistically. Salespeople's role breadth self-efficacy partially mediates the influences of internal and external social networks on sales-service ambidexterity, while empowerment climate and transformational leadership positively moderate the aforementioned mediational process by strengthening the relationship between salespeople's role breadth self-efficacy and sales-service ambidexterity.Practical implicationsPractical guidelines are provided for managers to shape ambidextrous salespeople by facilitating salespeople's internal and external social networks, promoting transformational leadership and creating empowerment climate within the unit.Originality/valueTo the best of the author's knowledge, this paper is the first to systematically examine the impact of salespeople's social network on sales-service ambidexterity. Drawing from social cognitive theory and the ambidexterity literature, this research reveals the mechanism of how salespeople's internal and external social networks contribute to sales-service ambidexterity.
Effect of synbiotics on inflammatory markers and white blood cell count in COVID-19 patients: a randomized, double-blind, placebo-controlled clinical trial
Authors: Khodadoostan Mahsa , Aghadavood Marnani Majid , Moravejolahkami Amir Reza , Askari Gholamreza , Iraj Bijan 
Published: October 2022

Purpose
Today, coronavirus disease-19 (COVID-19) treatment is an evolving process, and synbiotic administration has been suggested as a new therapeutic strategy. This study aims to investigate the effect of synbiotic supplementation in COVID-19 patients.

Design/methodology/approach
In this placebo-controlled trial, 80 patients were randomized to receive oral synbiotic capsule (containing fructooligosaccharide and seven bacterial strains; Lactobacillus (L) casei, L. rhamnosus, Streptococcus thermophilus, Bifidobacterium breve, L. acidophilus, Bifidobacterium longum, L. bulgaricus, each one 109 colony-forming units) or placebo for two months. Inflammatory markers (Interleukin-6 [IL-6], C-reactive protein [CRP], erythrocyte sedimentation rate [ESR]) and white blood cell (WBC) count were evaluated at two timepoints (baseline, two months later). The measured variables were adjusted for confounders and analyzed by SPSS v21.0.

Findings
All 80 enrolled patients completed the study. The study adherence was good (approximately 70%). The mean changes for IL-6 were not significant (Δ = −0.6 ± 10.4 pg/mL vs Δ = +11.2 ± 50.3 pg/mL, p > 0.05). There were no significant improvements for CRP, ESR and WBC.

Originality/value
Administration of synbiotics for two months did not improve inflammatory markers in COVID-19 patients.
Transparency in the digitalization choices and the cost of equity capital
Authors: Salvi Antonio , Petruzzella Felice , Raimo Nicola , Vitolla Filippo 
Published: October 2022

PurposeDigitalization is an element capable of improving companies’ financial performance. Despite the relevance of the topic, the financial effects associated with extensive transparency in digitalization choices have rarely been explored in extant literature. This study aims to close this important gap by examining the effect of digitalization-related information on the cost of equity capital.Design/methodology/approachThis study uses manual content analysis on a sample of 122 international listed firms to measure the level of transparency in digitalization choices and a regression model to test the effect of this transparency on the cost of equity capital.FindingsThe results show that broad transparency allows firms to benefit from a lower cost of equity capital. From this perspective, disseminating information about digitalization choices in a signaling theory key represents the signal that companies send to investors.Originality/valueThis study extends the knowledge about the potential of transparency to facilitate access to finance by examining the effect of another type of information, namely, those relating to digitalization choices, on the cost of equity capital.
Examination of a community-based, multifaceted program for juvenile offenders and their families
Authors: Scott David A. 
Published: October 2022

Purpose
The purpose of this study was to examine the results of a community-based program addressing the mental health needs of at-risk youth (n = 196) and their families.

Design/methodology/approach
The program served as an alternative to secure detention for youth residing in several rural counties in the southeastern part of the country. Several measures were used to evaluate the program’s effectiveness over a four-year timeframe.

Findings
The multifaceted program produced favorable results in reducing delinquent behaviors and improving relationships within their family.

Practical implications
This study demonstrated that using a multifaceted intervention can be beneficial to juveniles in the juvenile justice system and their families. This study set out to provide services and interventions aimed at reducing re-offending, exploring career development and improving overall family functioning.

Originality/value
This study is original work and is not being submitted elsewhere.
Systemic risks in supply chains: a need for system-level governance
Authors: Colon Celian , Hochrainer-Stigler Stefan 
Published: October 2022

Purpose
Global and interconnected supply chains are increasingly exposed to systemic risks, whereby individual failures propagate across firms, sectors and borders. Systemic risks have emerged from the decisions of individual firms, e.g., outsourcing and buffer reduction, and are now beyond their control. This paper aims to identify appropriate approaches to mitigating those risks.

Design/methodology/approach
Systemic risks require analyzing supply chains beyond a dyadic perspective. This study approaches the problem through the lenses of complex systems and network theories. Drawing on the lessons learned from other systemic-risk-prone systems, e.g. energy and financial networks, both in research and practice, this study analyzes the adequate level of governance to monitor and manage systemic risks in supply chains.

Findings
The authors argue that governance institutions should be mandated to overview and reduce systemic risks in supply chains from the top down, as central bankers do for the financial system. Using firm-level data and tools from network analysis and system dynamics, they could quantify systemic risks, identify risk-prone interconnections in supply chains and design mitigating measures. This top-down approach would complement the bottom-up supply chain management approach and could help insurers design policies for contingent business interruptions.

Originality/value
Instead of looking at supply chains purely from the firms’ angle, the perspective of insurers and governments is brought in to reflect on the governance of risks.
Impregnation of dye-conjugated miniaturized system on paper strip for detection of biomarker in renal cancer
Authors: Takke Anjali , Shende Pravin 
Published: October 2022

Purpose
The purpose of this study was to design a paper strip-based non-invasive urine analysis system for the qualitative detection of biomarker aquaporin-1 (AQP1) in renal cancer (RC). RC accounts for 3% of all cancers and 85% of all kidney tumors and mainly originates from the kidney cortex. In recent times, higher urine concentration of AQP1 in patients with RC was confirmed as a specific biomarker of the disease. Hence, the noninvasive, user-friendly and self-diagnostic method is required for the detection of aquaporin biomarkers in RC.

Design/methodology/approach
The present research work was focused on the development and characterization of a dye conjugated cyclodextrin-based miniaturized system for impregnation on Whatman filter paper to identify RC using AQP1 biomarker present in urine samples.

Findings
It was observed that the test strip dipped into the urine sample, and the yellow color intensity increased with a decrease in AQP1 concentration due to the transformation of the dye system of free basic form into bound acidic form. The Hue-Saturation-Value profiling was used to observe the effect of color change using a smartphone application. The paper strip-based urine analysis system is highly sensitive for the detection of AQP1 in the range of 10 to 1,000 ng.

Originality/value
The successful validation indicated that this biosensor is likely to contribute to the development of point-of-care, novel, personalized diagnostics and ensure prolonged survival of RC patients in the near future.
3D reflection seismic imaging of volcanogenic massive sulphides at Neves‐Corvo, Portugal
Authors: Donoso George A. , Malehmir Alireza , Carvalho Joao , Araujo Vitor 
Published: October 2022

AbstractThree‐dimensional reflection seismic data from the Neves‐Corvo area, southern Portugal, were reprocessed with the main objective of improving the seismic signature of the Lombador and Semblana volcanogenic massive sulphide deposits. The sensitivity for choosing adequate parameters for targeted imaging, even during the pre‐processing stage, such as common‐depth point binning size, was studied in detail before the main processing work began helping to optimize bin size parameters; preliminary stacking results from this analysis presented severe acquisition footprint, and seismic targets were not clearly identifiable. Processing results using pre‐stack dip move‐out and post‐stack migration methods show strong moderate to steeply dipping reflections. Several of the observed reflections can be correlated with known lithological contacts, some of which are interpreted to originate from the Semblana and Lombador deposits. Despite the mixed signal‐to‐noise ratio, the seismic cube reveals both shallow and deep three‐dimensional structures, allowing to account for the deposits’ lateral extension beyond the capabilities of two‐dimensional seismic imaging alone. Given the data processing approach taken it was possible to distinguish strong diffraction patterns, interpreted as originating from faults and edges of the Lombador deposit, illustrating the usefulness of diffraction patterns for better interpretation of geological features in hard‐rock environments.