bluuebunny/crossref_metadata_2025_split huggingface dataset:
Online or offline? Spillover effect of customer-to-customer interaction in a multichannel background
Authors: Liu Yucheng , Fu Xiaorong , Ren Xiangming 
Published: January 2023

PurposeEnterprises' multichannel operations provide various avenues for customer interaction; however, existing literature investigating customer-to-customer interaction (CCI) mainly focuses on a single channel. The purpose of this paper is to investigate the spillover effect of CCI and potential underlying mediating mechanisms in different information channels.Design/methodology/approachThree between-subjects experiments with 946 participants were employed to empirically validate the proposed hypotheses in the context of an experiential product and a material product.FindingsResults suggest the clear spillover effect of CCI, indicating that positive CCI improves focal customers' satisfaction and purchase intention, whereas negative CCI reduces focal customers' satisfaction and purchase intention. Moreover, CCI's spillover effect varies based on the CCI channel. Offline CCI has a stronger positive spillover effect than online CCI. Contrarily, online CCI has a stronger negative spillover effect than offline CCI. Customer experience and trust are demonstrated to have mediating roles in this process.Originality/valueThis study is the first to comprehensively understand and compare the CCI spillover effect of the two information channels. The findings add to the existing knowledge of information processing in the psychological mechanisms influencing the belief in addition to providing insights for companies engaged in multichannel operations management across different channels.
Andragogical principles in a gamification concept: how does it work for adult learners in an online class?
Authors: Zainuddin Zamzami , Rasyidin Rasyidin , Zanzibar Zanzibar , Aruni Fidhia , Nurmasyahyati Nurmasyahyati 
Published: January 2023

PurposeA lack of research has reported how playful gamification is applied to adult learners as an idea of andragogical instruction. Thus, this study aims to identify how the concept of gamification was used for adult learners in an online class during the COVID-19 pandemic and its impact on learning performance and motivation with the guidance of Knowles' andragogical principle.Design/methodology/approachThe study applied an explanatory sequential mixed method in collecting the data. Assessments' scores during the experimental research and questionnaires were used as the quantitative data. For the qualitative data, personal semi-structured interviews were employed.FindingsThe findings indicate that gamification raises student enthusiasm and interest and improves learning outcomes. Students who previously lacked attentiveness to the online class are now waiting for game quiz activities during the class meeting. Furthermore, the experimental groups reported statistically improved assessments compared to their counterparts. Indeed, some recommended other courses with whole activities of gamification and discussion rather than listening to talks.Originality/valueFor its implications, this study has enriched the literature on gamification implementation for adult learners. Regarding its originality, it has discussed an old issue of Knowles' andragogical principle from the novelty angle of gamification.
Implications of AI-based robo-advisory for private banking investment advisory
Authors: Dietzmann Christian , Jaeggi Timon , Alt Rainer 
Published: January 2023

PurposeAI-based robo-advisory (RA) represents a FinTech application that is already replacing retail investment advisors. In private banking (PB), clients also increasingly expect service provision across different digital channels, but with a higher degree of personalization. Hence, the present study investigates the impact of intelligent RA on the PB investment advisory process to derive both process (re)design knowledge and strategic guidance for artificial intelligence (AI) usage for PB investment advisory.Design/methodology/approachThe present study applies an AI process impact analysis approach by decomposing AI-based RA into three AI application types: conversational agent, customer segmentation and predictive analytics. The analysis results along a reference PB investment advisory process reveal sub-process transformations which are applied for process redesign integrating AI.FindingsThe study results imply that AI systems (1) enable seamless client journeys, (2) increase advisor flexibility, (3) support the client–advisor relationship by applying an omnichannel approach and (4) demand advisor skills to be augmented with technical and statistical knowledge.Originality/valueThe research study contributes (1) an AI process impact analysis approach, (2) derives process (re)design knowledge for AI deployment and (3) develops strategic guidance for AI usage in PB investment advisory.
Political connections and cost of debt: a meta-analysis
Authors: Khelil Imen 
Published: January 2023

Purpose
This paper aims to conduct a meta-analysis regarding the association between political connections and the cost of debt and tests for the moderating effect of the level of creditor protection on this relationship.

Design/methodology/approach
Keywords used to collect relevant empirical papers include “political connections, political ties, and political connectedness” from the one side, and “cost of loan finance, and cost of debt” from the other side. The search yields 24 published empirical papers from 2005 to 2022.

Findings
Findings show that there is a significant negative association between political connections and the cost of debt; this relationship is more pronounced only for countries characterized by a strong level of creditor protection. This moderating effect is further confirmed using meta-regression.

Originality/value
Findings are relevant for policymakers and managers in settings where relationship-based capitalism represents a prevailing feature as they highlight the important legal and institutional characteristics when considering the impact of political connections on the cost of debt. The paper also discusses some limitations inherent to this stream of research and proposes future research perspectives.
Moderated mediation between organizational culture and employee performance: the role of similarities in religious teachings and high-performance managerial practices
Authors: Deogaonkar Anant , Nanoty Sampada 
Published: January 2023

Purpose
The purpose of this study is to investigate the moderated mediation between organizational culture (OC) and employee performance (EP), with a focus on how high-performance managerial practices (HPMPs) affect OC’s indirect effect via similarities in religious teachings (SRT), which was put to the test.

Design/methodology/approach
Data was collected from 275 working professionals. Partial least square structural equation modeling (PLS-SEM) was used for data analysis.

Findings
The results indicate that SRT mediate the relationship between OC and EP. HPMPs enhance EP by increasing the effect of OC on SRT.

Research limitations/implications
As a part of people and performance management as a function of the human resource management team this study contributes to OC literature by exploring the role of similarities in religious teaching in enhancing EP and OC. The HPMPs are complemented by the SRT that enhance OC thereby improving EP.

Practical implications
This study paves way for addressing the OC problems being faced by the organizations. Organizational development interventions to enhance the OC and its effectiveness in overall performance enhancement are complemented by SRT. This becomes a trigger point for practitioners to initiate interventions based SRT.

Originality/value
Till now, there is no evidence examining the role of moderated mediation based on the SRT complementing HPMPs.
An analysis of customer-based and supplier-based trade credit gaps
Authors: Luo Haowen , Hanke Steven A. , Hanke Hui 
Published: January 2023

PurposeThis paper aims to examine the customer-based and supplier-based trade credit gaps for USA firms from 1970 to 2020.Design/methodology/approachThe authors' study examines USA companies from 1970 to 2020. The authors begin with an analysis of the trends in aggregate working capital, the capital's components and the trade credit gaps. Various regression models are used to estimate the impacts of identified firm characteristics and unidentified sources on customer-based and supplier-based trade credit gaps over time. The authors then decompose the impacts of firm characteristics to further understand whether changing firm characteristics and/or changing sensitivity to firm characteristics drive the variation in trade credit gaps.FindingsThere is a gradual reduction in the customer-based trade credit gap and a substantial expansion in the supplier-based trade credit gap. Though identified firm characteristics have dominant impacts on observed trade credit gaps, there is evidence of the effects of time and unobservable factors. The main source of changes in customer-based and supplier-based trade credit gaps lies in changes in sensitivity to firm characteristics. In addition, the authors find that firm age is the factor with the largest average effect on both trade credit gaps when examining the full sample period. However, different firm characteristics appear to be the key driver of variations in trade credit gaps over time and across the two types of trade credit gaps. The authors also find that financial distress has the least impact on both customer-based and supplier-based trade gaps. There are variations in the firm characteristics with the largest impacts when evaluating decade-long evaluation periods.Originality/valueTo the authors' knowledge, this is the first paper to examine the customer-based and supplier-based trade credit gaps. The connection between trade credit and the trade credit's corresponding inventory (INV) component extends prior literature on the joint management of trade credit and INV. The authors analyze both identified firm characteristics and unidentified sources in the search for explanations of the trade credit gaps. Furthermore, the authors' study explores the channels through which firm characteristics affect different types of trade credit gaps. The authors' findings help identify relevant and irrelevant risk factors of corporate working capital policy.
Prudence as an ethical foundation for risk management
Authors: Marshall Alasdair , Ojiako Udechukwu , Abdoush Tony , Vasilakos Nicholas , Chipulu Maxwell 
Published: January 2023

Purpose
This paper aims to draw on historical conceptions of true and false prudence within the broader context of virtue ethics ideas, to create a prudence framework for developing risk-and-ethics cultures in organisations.

Design/methodology/approach
The authors use a theoretical analytical approach as a means of examining plausible representations of risk as ethical practice.

Findings
While the ethical ideal of true prudence is explained primarily with reference to psychological theories of generativity, false prudence is explained as undesirable, primarily with reference to psychological problems of narcissism and the broader dark triad. True and false prudence are represented as centring upon very different motivations for foresight, each of which might set the cultural tone for organisational risk management.

Originality/value
This paper’s main contribution is therefore to call attention to the benefits for organisations of reflecting upon differences between true and false prudence when planning the risk management they want.
Big data in tourism marketing: past research and future opportunities
Authors: Blanco-Moreno Sofía , González-Fernández Ana M. , Muñoz-Gallego Pablo Antonio 
Published: January 2023

Purpose
The purpose of this study was to uncover representative emergent areas and to examine the research area of marketing, tourism and big data (BD) to assess how these thematic areas have developed over a 27-year time period from 1996 to 2022. This study analyzed 1,152 studies to identify the principal thematic areas and emergent topics, principal theories used, predominant forms of analysis and the most productive authors in terms of research.

Design/methodology/approach
The articles for this research were all selected from the Web of Science database. A systematic and quantitative literature review was performed. This study used SciMAT software to extract indicators. Specifically, this study analyzed productivity and produced a science map.

Findings
The findings suggest that interest in this area has increased gradually. The outputs also reveal the innovative effort of industry in new technologies for developing models for tourism marketing. Ten research areas were identified: “destination marketing,” “mobility patterns,” “co-creation,” “gastronomy,” “sustainability,” “tourist behavior,” “market segmentation,” “artificial neural networks,” “pricing” and “tourist satisfaction.”

Originality/value
This work is unique in proposing an agenda for future research into tourism marketing research with new technologies such as BD and artificial intelligence techniques. In addition, the results presented here fill the current gap in the research since while there have been literature reviews covering tourism with BD or marketing, these areas have not been studied as a whole.
Small- and medium-sized tourism enterprises and smart tourism: Tourism Agenda 2030 perspective article
Authors: O’Connor Peter 
Published: January 2023

Purpose
By highlighting the important role of information and communications technologies (ICTs) in readdressing the competitive balance between tourism small- and medium-sized enterprises (SMEs) and larger firms, this paper serves as a call to action to governments, regional tourism organisations and other policy-level stakeholders to facilitate more rapid diffusion of the developing smart tourism concept, helping to support tourism agenda 2030 and multiple UN’s Sustainable Development Goals.

Design/methodology/approach
Reviewing the literature on ICT use in tourism, this paper builds a case for deploying smart tourism to enhance the competitiveness of SMEs.

Findings
Without a collaborative approach, tourism SMEs are unlikely to use emerging technologies effectively to compete against larger peers and online platforms. By adopting a smart tourism approach, network effects between stakeholders can trump scale, allowing SMEs to compete more effectively and destinations to promote inclusivity and sustainable economic growth.

Originality/value
Highlighting the pivotal role that ICTs in general and Smart Tourism in particular can play in addressing the competitive imbalance between SMEs and larger players, this paper serves as a call for action for governments’ regional tourism organisations and other policy-level stakeholders to hasten their adoption of smart tourism principles as a means of supporting tourism agenda 2030 and furthering the UN’s Sustainable Development Goals.
Spore production monitoring reveals contrasting seasonal strategies and a trade‐off between spore size and number in wood‐inhabiting fungi
Authors: Norros Veera , Halme Panu , Norberg Anna , Ovaskainen Otso 
Published: January 2023

Abstract

Traits related to reproduction and dispersal drive the assembly and dynamics of species communities and can explain and predict how species respond to habitat loss and fragmentation and to the changing climate. For fungi, such links remain poorly known.

We examine how spore production rate, a key demographic trait, is influenced by the interaction between environmental conditions and species traits. We monitored the spore production of 97 wood‐inhabiting fungal species on 107 decaying logs for 2 years and analysed the data with a hierarchical community model.

Our analysis demonstrates clear species differences in seasonal patterns, with spring and summer release dominating in perennial species, contrary to the commonly held view of autumn as the primary “mushroom season”. Many species follow a diurnal pattern with a higher spore release rate during the night. Such patterns in release timing have important implications for dispersal, as shown by recent model simulations.

The overall level of spore release was negatively correlated with spore size, providing new evidence that fungi face the classic trade‐off of investing either in the number or size of offspring.

We found that different species within the functional group of wood‐inhabiting fungi display alternative strategies in spore release timing and along the trade‐off between offspring size and number. Linking our findings to previously reported correlations between spore size and other traits, we propose a new conceptualization of life history strategies in wood‐inhabiting fungi, with implications for species' ability to survive the ongoing biodiversity crisis.

Read the free Plain Language Summary for this article on the Journal blog.
Reversing declines in farmland birds: How much agri‐environment provision is needed at farm and landscape scales?
Authors: Sharps Elwyn , Hawkes Robert W. , Bladon Andrew J. , Buckingham David L. , Border Jennifer , Morris Antony J. , Grice Philip V. , Peach Will J. 
Published: January 2023

Abstract

Agri‐environment schemes (AES) are the primary policy mechanism for addressing farmland biodiversity declines across Europe. Despite previous studies on the impacts of AES on biodiversity, there is little empirical evidence on the scale of provision required to reverse declines.

Across three regions of lowland England with contrasting farm systems (arable, pastoral, mixed), we estimated avian population growth rates (PGRs) on farmland with high AES provision (‘higher‐tier’: average bird‐friendly option cover = 7.4%), low AES provision (‘lower‐tier’: 2.3%) and no bird‐friendly AES (‘no AES’). Ten‐year PGRs were derived for 24 species and three multi‐species groups comprising farmland‐associated species (‘farmland birds’), species of conservation concern (‘priority birds’) and species restricted to farmland (‘specialist birds’). We used PGRs to simulate the proportion of the regional farmland landscape that would have to be assigned to higher‐ and lower‐tier agreements to stabilise or increase populations.

In the arable and pastoral regions, 13/23 and 13/22 species, respectively, had more positive PGRs under higher‐tier AES than on no AES farmland (none had more negative PGRs), compared to 4/22 (positive) and 1/22 (negative) in the mixed region. Only two to four species per region exhibited more positive PGRs under lower‐tier AES compared to no AES farmland.

Multi‐species PGRs in the arable and pastoral regions increased from no AES (strong decline), to lower‐tier (decline or stability) to higher‐tier (moderate or strong increase). There was no overall AES effect in the mixed region.

To increase regional farmland bird populations by 10% over 10 years, 47% and 26% of the farmed landscape would need to be devoted to higher‐tier agreements in arable and pastoral landscapes respectively. This falls to 34% and 17% when higher‐tier is targeted at localities supporting higher abundances of target species, and to 29% and 10% when 30% of the farmed landscape is also devoted to lower‐tier. Priority and specialist birds require higher provision levels.

Policy implications. Where farmland bird recovery is an AES objective, farms should prioritise higher‐tier agreement delivery over lower‐tier. Farmland bird responses to AES provision are likely to vary regionally, but careful targeting will reduce the amount needed in the landscape.
The Impact of Government Policy Responses to the COVID‐19 Pandemic and Brexit on the UK Financial Market: A Behavioural Perspective
Authors: Paterson Audrey , Sakariyahu Rilwan , Lawal Rodiat , Alabi Adedayo 
Published: January 2023

AbstractAt the height of the COVID‐19 pandemic in the United Kingdom, the Governor of the Bank of England, while granting an interview, described the pandemic as an unprecedented economic emergency and said that the Bank could go as far as radical money‐printing operations. In reaction, the UK financial market, particularly the FTSE 100 and pound sterling, witnessed record‐breaking losses. Considering this evidence, we hypothesized that the emotions and moods of investors towards the financial market might have been impacted by the information they obtained from frequent government policy announcements. Furthermore, we proposed that the United Kingdom's final exit from the European Union (Brexit), which coincided with the pandemic, could have worsened the outlook of the UK financial market, as investors began to diversify their portfolios. Consequently, we examined the impact of government's policy announcements on investors’ reactions to the concurrence of the COVID‐19 pandemic and Brexit. Our findings reveal that the psychology of investors during the pandemic was significantly shaped by frequent policy announcements, which in turn affected overall market behaviour.
Biosynthesis of gold and silver nanoparticles using Senna alexandrina Miller extract against Culex pipiens L. (Diptera: Culicidae)
Authors: Alhag Sadeq K. 
Published: January 2023

AbstractThe use of nanoparticles for various purposes, including pest control, has become increasingly popular because of their cost and environmental safety. In the present study, gold nanoparticles (AuNPs) and silver nanoparticles (AgNPs) were synthesized in an extract of Senna alexandrina Miller leaves with the aim of use against vectors of disease such as Culex pipiens L. (the filarial vector in Saudi Arabia). The nanoparticles were characterized by scanning electron microscopy and spectroscopic techniques. The larvicidal activity of the nanoparticles against Cx. pipiens was evaluated according to the protocol of the World Health Organization. According to the lethal concentration LC50, the result shows differentiation in the sensitivity on mosquitoes. The AuNPs (51.383 ppm) the best one followed by AgNPs (52.525 ppm) while S. alexandrina leaf extract alone (355.25 ppm), the lowest effectiveness. Generally, the Cx. pipiens mosquito larvae proved to be more susceptible to AuNPs and AgNPs than leaf extract alone by about 6.91 and 6.76 times, respectively.
COVID‐19 causing death in a rheumatoid arthritis patient who retested positive for SARS‐CoV‐2 RNA: A case report
Authors: Tiantian Chen , Jing Zhang , Yiwen Ma , Yiming Yu , Haifeng Yang , Feng Hu , Xiaoyan Jin , Jin Yan 
Published: January 2023

AbstractBackgroundIn the first half 2022, SARS‐CoV‐2 variant omicron rapidly spread in Shanghai.Case presentationA 74‐year‐old woman, diagnosed as having rheumatoid arthritis for almost 30 years and treated with prednisone and cyclophosphamide, went through nasopharyngeal swab RNA test for SARS‐CoV‐2 for routine screening and was positive. She was then sent to the designated hospital. After negative RNA test, the patient returned to the former hospital for the treatment of basic disease. Unfortunately, the RNA test of this patient became positive again. And in this period, the clinical manifestations and computed tomography scans were more progressive. Finally, the patient passed away.ConclusionThere is a long way to go for us to study expression characteristics of SARS‐CoV‐2.