bluuebunny/crossref_metadata_2025_split huggingface dataset:
Correlations between patterns of activity and the response to treatment yield distinct signatures for different antidepressive treatments
Authors: Spulber Stefan , Elberling Frederik , Ceccatelli Sandra , Gärde Martin , Tiger Mikael , Lundberg Johan 
Published: September 2023

AbstractAlterations in circadian patterns of activity have been described in several psychiatric disorders, and in major depressive disorder (MDD) have been associated with symptom severity. The aim of this study was to investigate the correlations between activity patterns and the response to different antidepressive treatments. We used actigraphy recordings acquired in three independent clinical trials investigating the response to internet-delivered cognitive behavioral therapy (iCBT), escitalopram, or ketamine, where symptom severity was assessed on MADRS scale. Data processing procedure was designed to extract features describing individual circadian cycles, as well as the average circadian profile for each subject. The analysis of effects of antidepressive treatments on single features (independently from magnitude of response) showed alterations in treatment-specific subsets of features. Further analysis revealed distinct correlations between longitudinal changes in individual features and the response to iCBT, escitalopram, or ketamine. Linear regression ensembles modeling the response to treatment were trained on actigraphy recorded during the depressive episode, before intervention. The analysis of coefficients following Bayesian model averaging showed that better response to iCBT was associated with weaker circadian entrainment; better response to ketamine was associated with more robust circadian entrainment and higher fragmentation of activity patterns; while higher age and steeper propensity to sustain activity was associated with better response to either iCBT or ketamine. Our data suggest that the analysis of circadian patterns of activity can potentially be used for predicting the response to specific MDD treatments, however larger confirmatory studies are required.HighlightsDifferent antidepressant treatments alter specific subsets of features of activity patterns.The magnitude of response to treatment correlate with changes in patterns of activity.Patterns of activity correlate with the response to specific antidepressive treatments.
Non-linearity in the Phillips curve: evidence from Nigeria
Authors: Onatunji Olufemi Gbenga , Adeleke Oluwayemisi Kadijat , Adejumo Akintoye Victor 
Published: September 2023

PurposeThis study reinvestigates the validity of the Phillips curve in Nigeria for the period 1980–2020 by considering the asymmetric nexus between unemployment and inflation.Design/methodology/approachThe nonlinear autoregressive distributed lag (NARDL) technique was used to decompose the unemployment variable into two components: tight and loosened labour markets.FindingsThe empirical outcome shows that unemployment has a significant negative effect on inflation when the labour market is tight and a weakly negative and significant effect on inflation when the labour market is loose. The study confirms an asymmetric Phillips curve in Nigeria since the positive (tight) unemployment rate exerts a greater effect on inflation than the negative (loosened) unemployment rate.Practical implicationsThe findings of this study have important implications for implementing monetary policy in Nigeria.Originality/valueTo the best of the authors’ knowledge, this is the first study to investigate the existence of a nonlinear Phillip curve in Nigeria.
Navigating the postpandemic theme park experience: an experiencescape perspective
Authors: Samuel Saragih Harriman 
Published: September 2023

Purpose
The aim of this study is to ascertain the fundamental characteristics that influence the theme park experience during the period following the pandemic, using the experiencescape framework.

Design/methodology/approach
To obtain electronic word-of-mouth data, this research leverages Google Maps reviews and uses diverse Python libraries for computational and natural language processing-based analyses.

Findings
In the context of theme parks during a pandemic, visitors tend to convey favorable attitudes and engage in discourse pertaining to six primary themes or subjects, i.e. health and safety protocols, ride and queue management, sanitation measures, promotional pricing, family-oriented amenities and exciting escapades.

Research limitations/implications
This study highlights the continued relevance of the experiencescape framework during the COVID-19 pandemic and the dynamic nature of its five dimensions. Furthermore, it underscores the intricate interplay between these dimensions and advocates for a comprehensive approach to experiencescape management.

Originality/value
The research addresses a notable gap in existing literature by examining the pandemic’s impact on theme park experiences, using natural language processing techniques for insights gleaned from online reviews. In doing so, this study contributes a more profound and nuanced comprehension of the theme park experience in the post-COVID era.
The adoption of digital payments in emerging economies: challenges and policy responses
Authors: Putrevu Jayaprada , Mertzanis Charilaos 
Published: September 2023

Purpose
This paper aims to present a comprehensive overview of the emergence and significance of digital payments, focusing on their impact on competitiveness and the need for policy interventions. In addition, it explores the design of policies that promote the adoption of digital payments, highlighting the benefits they offer to providers and users.

Design/methodology/approach
The paper examines the technological advances that have driven the growth of digital payment systems. It identifies key requirements for successful adoption and discusses the associated risks, along with potential strategies to mitigate these risks.

Findings
The findings emphasize the importance of responsible implementation and safeguarding the well-being of end users to fully realize the benefits of digital payment adoption. Understanding the inherent risks and establishing effective risk mitigation mechanisms are crucial. This necessitates the development of appropriate infrastructure to support the provision of digital payment services.

Research limitations/implications
More research is needed to gain deeper insights into how emerging global trends in financial technology should be analyzed and understood by policymakers, service providers and users.

Practical implications
The findings of this study can guide policymakers, private sector managers and consumers in comprehending the effects of emerging digitalization trends and determining their adoption responses accordingly.

Originality/value
This paper stands out as one of the few research contributions that provide comprehensive and actionable policy recommendations to facilitate a smooth transition to a digital payments ecosystem that benefits all stakeholders.
Accounting information quality in the digital era – a perspective from ERP system adoption?
Authors: Abu Afifa Malik , Saleh Isam , Vo Van Hien 
Published: September 2023

Purpose
Based on the technology acceptance model theory, this study aims to explore whether perceived usefulness (PU), perceived ease of use (PE) and the availability to embrace technology (AET) influence the intention to accept an enterprise resource planning (ERP) system in Jordanian companies. It also analyses the influence of the intention to accept ERP system on ERP system adoption. More crucially, the current research fills a gap in earlier investigations by exploring the influence of adopting an ERP system on accounting information quality moderated by a company size.

Design/methodology/approach
This research seeks to provide evidence about the study context from Jordanian companies, as the research population and sample consist of all companies listed on the Amman Stock Exchange in 2022 (totally 170 companies). This signifies that the research method is a complete survey of the study population. The core data were collected using an online survey via Google Forms. It was emailed to the selected companies’ chief financial officers. Because each company received one online survey questionnaire, this unit of analysis is a company. Finally, 141 questionnaires were returned, reflecting an 82.94% response rate.

Findings
Empirically, the findings reveal that PU, PE and AET influence the intention to accept an ERP system, and that there is a positive relation between the intention to accept an ERP system and ERP system adoption. Furthermore, ERP system adoption positively influences relevance and faithful representation of accounting information moderated by company size.

Originality/value
This research adds to the accounting information quality literature by investigating the direct influence of ERP system adoption. Furthermore, the findings show the effectiveness of ERP system adoption and its regulatory roles in companies. Finally, this research was conducted to provide empirical knowledge on ERP system adoption in developing countries, notably Jordan.
Analyzing the online public sentiments related to Russia-Ukraine war over Twitter
Authors: Gulzar Rahat , Gul Sumeer , Verma Manoj Kumar , Darzi Mushtaq Ahmad , Gulzar Farzana , Shueb Sheikh 
Published: September 2023

Purpose
Sharing and obtaining information over social media has enabled people to express their opinions regarding any event. Since the tweets regarding the Russia-Ukraine war were extensively publicized on social media, this study aims to analyse the temporal sentiments people express through tweets related to the war.

Design/methodology/approach
Relevant hashtag related to the Russia-Ukraine war was identified, and tweets were downloaded using Twitter API, which were later migrated to Orange Data mining software. Pre-processing techniques like transformation, tokenization, and filtering were applied to the extracted tweets. VADER (Valence Aware Dictionary for Sentiment Reasoning) sentiment analysis module of Orange software was used to categorize tweets into positive, negative and neutral ones based on the tweet polarity. For ascertaining the key and co-occurring terms and phrases in tweets and also to visualize the keyword clusters, VOSviewer, a data visualization software, was made use of.

Findings
An increase in the number of tweets is witnessed in the initial days, while a decline is observed over time. Most tweets are negative in nature, followed by positive and neutral ones. It is also ascertained that tweets from verified accounts are more impactful than unverified ones. russiaukrainewar, ukraine, russia, false, war, nato, zelensky and stoprussia are the dominant co-occurring keywords. Ukraine, Russia and Putin are the top hashtags for sentiment representation. India, the USA and the UK contribute the highest tweets.

Originality/value
The study tries to explore the public sentiments expressed over Twitter related to Russia-Ukraine war.
CEO overconfidence and tax avoidance: role of institutional and family ownership
Authors: Souguir Zahra , Lassoued Naima , Bouzgarrou Houssam 
Published: September 2023

PurposeThis study aims to investigate the effect of overconfident chief executive officers (CEOs) on corporate tax avoidance and whether this relationship is affected by institutional and family ownership.Design/methodology/approachUsing a sample of French-listed firms from 2009 to 2021, the authors find that firms managed by overconfident CEOs engage in more tax avoidance practice.FindingsThe authors further find that institutions and families are likely to discourage tax avoidance practices, paying close attention to their long-term horizons and reputational concerns. Overall, the authors' findings shed light on the monitoring role of institutional and family shareholders in restraining the effect of CEO behavioral bias on companies' tax avoidance.Originality/valueTo the authors' knowledge, no study has investigated the impact of managerial overconfidence on the tax behavior of French firms. The authors also extend the growing literature regarding managerial effects by providing new evidence that French firms held by concentrated institutional and family ownership curtail CEO overconfidence behavior toward corporate tax avoidance practices.
Embracing paradox and contingency: integration mechanisms for ambidextrous innovation portfolio management
Authors: Killen Catherine P. , Sankaran Shankar , Knapp Michael , Stevens Chris 
Published: September 2023

PurposeThe purpose of this paper is to explore how organizations manage and integrate exploration and exploitation across the innovation project portfolio. Such ambidextrous capabilities are required for organizations to innovate and succeed in today's rapidly changing competitive environment. Understanding how exploration and exploitation projects are integrated can illustrate ways to enhance ambidexterity and boost learning for the benefit of both approaches.Design/methodology/approachA multiple-case study approach was used to explore innovation portfolio management in six large organizations that emphasize innovation in their strategies.FindingsThe findings draw upon concepts of paradox and contingency to reveal that the inherent tension between formality and flexibility in managing innovation project portfolios is aligned with the need for organizational ambidexterity that maintains effective exploitative innovation while supporting explorative innovation capabilities. Four integration mechanisms are identified that enhance ambidexterity across the innovation portfolio by embedding processes for transition from exploration to exploitation and cross-fertilizing knowledge to build innovation capability across both exploration and exploitation.Practical implicationsManagers may find inspiration on ways to enhance learning by bridging exploration and exploitation projects from the four types of integration mechanisms. Recognizing the paradoxical nature of the tension between formality and flexibility in project and portfolio management may also help guide organizations to effectively develop ambidextrous approaches to enhance overall innovation outcomes.Originality/valueIn contrast to perspectives which suggest that paradox and contingency approaches represent disparate perspectives, the authors demonstrate how they can complement each other and work together through innovation portfolio management to support ambidexterity at the portfolio and project levels.
Prioritizing the attributes of sustainable banking performance
Authors: Sharma Deergha , Kumar Pawan 
Published: September 2023

PurposeGrowing concern over sustainability adoption has presented an array of challenges to businesses. While vital to an economy's success, banking is not immune to societal, environmental and economic consequences of business practices. The study has examined the sustainable performance of banking institutions on the suggested multidimensional framework comprising economic, environmental, social, governance and financial dimensions and 52 sustainability indicators. The study benchmarks the significant performance indicators of leading banks indispensable to sustainable banking performance. The findings attempt to address research questions concerning the extent of sustainable banking performance, ranking the sustainability dimensions and indicators and standardizing sustainability adoption metrics.Design/methodology/approachTo determine the responsiveness of the banking industry to sustainability dimensions, content analysis was conducted using NVivo software for the year 2021–2022. Furthermore, a hybrid multicriteria decision-making (MCDM) approach is used by integrating entropy, the technique for order preference by similarity to ideal solution (TOPSIS) and VlseKriterijumska Optimizacija KOmpromisno Resenje (VIKOR) to provide relative weights to performance indicators and prioritize banks based on their sustainable performance. Sensitivity analysis is used to ensure the robustness of results.FindingsIn the context of the Indian banking industry, the pattern of sustainability reporting is inconsistent and concentrated on addressing environmental and social concerns. The results of the entropy methodology prioritized “Environmental” sustainability over other selected dimensions while “Financial” dimension has been assigned the least priority in the ranking order. The significant sustainable performance indicators delineated in this study should be used as standards to ensure the accountability and credibility of the sustainable banking industry. Additionally, the research findings will provide valuable inputs to policymakers and regulators to assure better contribution of the banking sector in meeting sustainability goals.Originality/valueConsidering the paucity of studies on sustainable banking performance, this study makes two significant contributions to the literature. First, the suggested multidimensional disclosure model integrating financial and nonfinancial indicators would facilitate banking institutions in addressing the five aspects of sustainability. As one of the first studies in the context of the Indian banking industry, the findings would pave the way for better diffusion of sustainability practices. Second, the inclusion of MCDM techniques prioritizes the significance of sustainability indicators and benchmarks the performance of leading banks to achieve better profits and more substantial growth.
Virtual assets and the prevention of money laundering: a critical and comparative analysis of the laws of Mauritius, Japan and South Africa
Authors: Beebeejaun Ambareen , Mahadew Bhavna 
Published: September 2023

Purpose
Due to their particular nature, virtual assets (VA) are vulnerable to financial crimes such as money laundering and if the appropriate legal mechanisms are not established, this may result in the financial collapse of various economies. To this effect, best practices and standards have been published by some international organisations such as the Financial Action Task Force and IMF which are now domesticated in the national laws of several countries. Therefore, the purpose of this study is to analyse the anti-money laundering (AML) legislative framework in the context of VA in three countries, namely, Mauritius, Japan and South Africa.

Design/methodology/approach
To achieve the research objective, the Mauritian AML laws in the context of VA were compared with the corresponding laws of some other countries, namely, Japan and South Africa. As such, a qualitative research method was adopted. In particular, the black letter approach was used to examine the relevant laws of these countries. A comparative analysis was conducted concerning the relevance of AML laws for each country when dealing with VA with the view of suggesting recommendations for Mauritian stakeholders to adopt to enhance the existing AML legal and regulatory framework.

Findings
The comparative study conducted has revealed that there are both similarities and divergences among the AML framework of the three countries further to which this research recommends that the Mauritian laws must be amended concerning the duration of information storage on VA, the definition of VA, advertisement by VA service providers and the electronic submission of annual reports. The Mauritian regulatory bodies also need to play a more active role in their joint collaboration to monitor suspicious VA transactions to combat money laundering.

Originality/value
At present, this study will be among the first academic writings on the efficiency of AML laws in the context of VA in Mauritius and also, because existing literature is quite scarce on assessing the adequacy of AML legislation in developing countries, this research aims at filling in the gap in literature. This study is carried out with the aim of combining a large amount of empirical, theoretical and factual information that can be of use to various stakeholders and not only to academics.
Organizational stakeholders and environmental sustainability investment: does China’s regional heterogeneity matter?
Authors: Khalid Fahad , Naveed Khwaja , Voinea Cosmina Lelia , L. Curseu Petru , Xinhui Sun 
Published: September 2023

Purpose
Given the regional diversity in China, this study aims to provide an empirical evaluation of how organizational stakeholders (i.e. customers, employees, suppliers and shareholders) affect corporate environmental sustainability investment (ESI).

Design/methodology/approach
To empirically investigate the influence of organizational stakeholders on ESI, this study used regional-level data consists of Chinese A-share stocks for the years 2009–2019.

Findings
This study’s findings show that pressure from customers, employees and suppliers has a significant effect on corporate ESI, with customers being the most important stakeholder group. Shareholders, by contrast, have no significant influence on ESI. The influence of these pressures is more pronounced in developed regions (the east) than in less developed (the west) localities of China.

Research limitations/implications
This study complements the stakeholder–institutional perspective by implying to consider the differentiated logics of the contesting stakeholders in the nonmarket operations.

Practical implications
Practically, this study poses that managers must realize the heterogeneity of pressures from stakeholders and the differentiated impact of these pressures keeping in view the institutional differences in different regions.

Originality/value
Our study reports initial empirical evidence that shows how regional differences influence the role of stakeholders in determining corporate environmental strategy.
Digital tourism research: a bibliometric visualisation review (2002–2023) and research agenda
Authors: Li Zhiyong , Huo Mingmin , Huo Tingting , Luo Hemin 
Published: September 2023

Purpose
This study aims to review the diversified existing literature on digital tourism from 2002 to 2023 using bibliometric analysis to present a holistic review of the current scientific structure of digital tourism and sets the future research agenda.

Design/methodology/approach
A detailed search of 646 SSCI articles collected from the Web of Science Core Collection (WOSCC) database was analysed through CiteSpace.

Findings
The findings indicate that developed countries are at the core of the co-authorship network, although developing countries represented by China increasingly contribute valued research findings. The conceptual structure of digital tourism mainly evolves from exploration (2002–2006), and acceleration (2007–2014), to diversification (2015-2023), with the most recent focus on consumer-oriented value creation and potential technological risks. Three well-established thematic groups have been identified, namely, technological innovation and application, destination digital management and consumer value creation. Constructive insights for future research are also offered, including digital scenarios, digital production and digital governance.

Practical implications
The research helps scholars and practitioners grasp the current issues and needs of digital tourism and provides a guide for policymakers in the tourism industry who seek to intelligently improve tourism performance.

Originality/value
This study thoroughly evaluates 22 years of digital tourism literature through bibliometric analysis. It creates a framework for understanding how digital tourism is theorised and developed and indicates future research directions.