bluuebunny/crossref_metadata_2025_split huggingface dataset:
Revisiting the effects of renewable and non-renewable energy consumption on economic growth for eight countries: asymmetric panel quantile approach
Authors: Alqaralleh Huthaifa , Hatemi-J. Abdulnasser 
Published: March 2023

Purpose
This study aims to investigate the dynamic relationship between renewable and non-renewable energy sources on the economic growth of eight countries, the capital stock and labour force being used as control variables in each case. Questions that need to be asked include the following: Is there is an asymmetric and, hence, a non-linear relationship between variables? If yes, how does economic growth interact with both renewable and non-renewable energy consumption (EC)? How different are these relationships in the countries highly rated in the performance of renewable EC compared to those lowly rated?

Design/methodology/approach
This paper uses asymmetric quantile-based methods to extract possible asymmetric and, hence, non-linear relationships between the underlying variables.

Findings
A newly developed asymmetric panel quantile approach suggests that EC has a significant effect on economic growth in both directions of shocks as well as for the considered sample. The results further support the findings in recent literature on renewable energy deployment, given the importance of renewable EC for economic growth with the increased levels of renewable EC, although the initial investments may have a negative effect on economic growth for some countries.

Originality/value
This study contributes to the literature in twofold. Firstly, it aims to contribute to the ongoing debate in literature by incorporating both renewable and non-renewable energy resources in the production function with labour and capital to test their asymmetric impact on economic growth. Secondly, this paper uses asymmetric quantile-based methods to extract possible asymmetric and, hence, non-linear relationships between the underlying variables. Another point that should be emphasised in this study is the need for studies analysing economic growth and EC for a sample of G20 countries based on a comparative view for the renewable and non-renewable EC in literature.
Consumers' (ir)responsible shopping during emergencies: drivers and concerns
Authors: Scarpi Daniele , Pantano Eleonora , Marikyan Davit 
Published: March 2023

PurposeDuring emergencies and times of widespread social fear, such as wars and epidemics, society witnesses many instances of consumer misbehaviour (e.g. panic buying). Therefore, this study aims to understand what drives consumers to enact socially irresponsible while shopping during emergencies.Design/methodology/approachThis study employs a quantitative approach with 400 responses from consumers who shopped during the pandemic.FindingsResults show a positive relationship between consumers' awareness of the negative social consequences of shopping misbehaviour and their ascription of responsibility, which is positively moderated by death-by-emergency-related anxiety. Ascription of responsibility, in turn, has a positive impact on socially responsible behaviour.Originality/valueThis research is the first to examine new applications of norm activation theory in retailing. Furthermore, this research is the first to extend the theory by examining psychological factors that may regulate socially irresponsible behaviour. The research demonstrates the significant role of anxiety and attachment in facilitating the impact of awareness of negative consequences and aspirations of responsibility in the retailing during emergencies.
Smart home devices and B2C e-commerce: a way to reduce failed deliveries
Authors: Seghezzi Arianna , Mangiaracina Riccardo 
Published: March 2023

PurposeFailed deliveries (i.e. deliveries not accomplished due to the absence of customers) represent a critical issue in B2C (Business-to-consumer) e-commerce last-mile deliveries, implying high costs for e-commerce players and negatively affecting customer satisfaction. A promising option to reduce them would be scheduling deliveries based on the probability to find customers at home. This work proposes a solution based on presence data (gathered through Internet of Things [IoT] devices) to organise the delivery tours, which aims to both minimise the travelled distance and maximise the probability to find customers at home.Design/methodology/approachThe adopted methodology is a multi-method approach, based on interviews with practitioners. A model is developed and applied to Milan (Italy) to compare the performance of the proposed innovative solution with traditional home deliveries (both in terms of cost and delivery success rate).FindingsThe proposed solution implies a significant reduction of missed deliveries if compared to the traditional operating mode. Accordingly, even if allocating the customers to time windows based on their availability profiles (APs) entails an increase in the total travel time, the average delivery cost per parcel decreases.Originality/valueOn the academic side, this work proposes and evaluates an innovative last-mile delivery (LMD) solution that exploits new AI (Artificial Intelligence)-based technological trends. On the managerial side, it proposes an efficient and effective novel option for scheduling last-mile deliveries based on the use of smart home devices, which has a significant impact in reducing costs and increasing the service level.
A systematic review of customer behavior in business-to-business markets and agenda for future research
Authors: Bilro Ricardo Godinho , Loureiro Sandra Maria Correia , Souto Pedro 
Published: March 2023

PurposeThe purpose of this paper is to offer a comprehensive overview of current research on customer behavior in the business-to-business (B2B) context and propose a research agenda for future studies. Despite being a relatively recent area of interest for academics and practitioners, a literature review that synthesizes existing knowledge into coherent topics and outlines a research agenda for future research is still lacking.Design/methodology/approachDrawing on a systematic literature review of 219 papers and using a text-mining approach based on the Latent Dirichlet Allocation algorithm, this paper enhances the existing knowledge of B2B customer behavior and provides a descriptive analysis of the literature.FindingsFrom this review, ten major research topics are found and analyzed. These topics were analyzed through the lens of the Theory, Context, Characteristics and Method framework, providing a summary of key findings from prior studies. Additionally, an integrative framework was developed, offering insights into future research directions.Originality/valueThis study presents a novel contribution to the field of B2B by providing a systematic review of the topic of customer behavior, filling a gap in the literature and offering a valuable resource for scholars and managers seeking to advance the field.
Global supply chain resilience with the flexible partnership
Authors: Pratono Aluisius Hery , Han Ling , Maharani Asri 
Published: March 2023

PurposeThis paper aims to examine how multinational corporations respond to environmental turbulence by adopting a flexible supply chain (SC).Design/methodology/approachThis study adopts a case study in the medical industry to identify effective strategic approaches by taking advantage of new business opportunities and navigating complex business partnerships. This study focuses on medical diagnostic equipment, including computed tomography, magnetic resonance imaging and X-ray, that involves the suppliers, channel partners and medical users.Findings(1) The market turbulence brought the SC leaders to adopt multiple partnership approaches, i.e. funnel-based and area-based partnerships. (2) Adopting a funnel-based partnership allows the SC to seize new market opportunities. Still, it brought a risk element of SC failure from the flawed selection process and professional misconduct. (3) SC leaders adopted flexible partnerships to help address the risk of professional misconduct and select partners for long-term collaboration.Originality/valueThis paper contributes to emergent literature on social exchange theory by exposing the global SC when the SC leaders set up agility approaches. This paper also extends the discussion on the industrial marketing and purchasing theory, which seeks to promote an active buyer–seller relationship.
Disney princess speaks out
Authors: Sherman Kimberly , Ruane Sinéad G. 
Published: March 2023

Research methodology
This case was developed with information gathered from publicly available secondary sources, including news articles, company annual reports, various organizational websites and social media posts. The authors pilot-tested the case in two undergraduate courses: Leadership and Labor-Management Relations.

Case overview/synopsis
In 2019, Abigail Disney, granddaughter of Roy Disney (co-founder of the entertainment giant The Walt Disney Company), gained considerable media attention when she publicly criticized the high compensation paid to the current Disney CEO, Robert Iger. In fact, Iger had one of the largest ratios of CEO-to-average worker pay in corporate America. Abigail Disney called for the company to reduce Iger’s compensation and to increase pay for the average Disney worker to address the perceived pay inequity.

Complexity academic level
This case is primarily written for the undergraduate level. The topics would be appropriate for Human Resource Management, Labor Relations, Business Ethics, Leadership, and an upper level Compensation course. It is possible that the case could also be used in a Business Strategy or Economics course if supporting documents are provided.
ChatGPT for tourism: applications, benefits and risks
Authors: Carvalho Inês , Ivanov Stanislav 
Published: March 2023

Purpose
The rapid growth of artificial intelligence is disrupting various industries, including the tourism sector. This paper aims to outline the applications, benefits and risks of ChatGPT and large language models in general on tourism. It also aims to establish a research agenda for investigating the implications of these models in tourism.

Design/methodology/approach
Drawing on the available literature on ChatGPT, large language models and artificial intelligence, the paper identifies areas of application of ChatGPT for several tourism stakeholders. Potential benefits and risks are then considered.

Findings
ChatGPT and other similar models are likely to have a profound impact on several tourism processes. They will contribute to further streamline customer service in front-of-house operations and increase productivity and efficiency in back-of-house operations. Although negative consequences for human resources are expected, this technology mostly enhances tourism employees.

Originality/value
To the best of the authors’ knowledge, this is one of the first studies that explore the potential implications of ChatGPT in tourism and hospitality.
High temperature frequently increases facilitation between aquatic foundation species: A global meta‐analysis of interaction experiments between angiosperms, seaweeds and bivalves
Authors: Clemente Ken Joseph E. , Thomsen Mads S. 
Published: March 2023

Abstract

Many studies have quantified the ecological impacts of individual foundation species (FS). However, emerging data suggest that FS often co‐occur, potentially inhibiting or facilitating one another, thereby causing indirect, cascading effects on surrounding communities. Furthermore, global warming is accelerating, but little is known about how interactions between co‐occurring FS vary with temperature.

Shallow aquatic sedimentary systems are often dominated by three types of FS: slower‐growing clonal angiosperms, faster‐growing solitary seaweeds and shell‐forming filter‐ and deposit‐feeding bivalves. Here, we tested the impacts of one FS on another by analyzing manipulative interaction experiments from 148 papers with a global meta‐analysis.

We calculated 1942 (non‐independent) Hedges' g effect sizes, from 11,652 extracted values over performance responses, such as abundances, growth or survival of FS and their associated standard deviations and replication levels. Standard aggregation procedures generated 511 independent Hedges' g that were classified into six types of reciprocal impacts between FS.

We found that (i) seaweeds had consistent negative impacts on angiosperms across performance responses, organismal sizes, experimental approaches and ecosystem types; (ii) angiosperms and bivalves generally had positive impacts on each other (e.g. positive effects of angiosperms on bivalves were consistent across organismal sizes and experimental approaches, but angiosperm effect on bivalve growth and bivalve effect on angiosperm abundance were not significant); (iii) bivalves positively affected seaweeds (particularly on growth responses); (iv) there were generally no net effects of seaweeds on bivalves (except for the positive effect on growth) or angiosperms on seaweeds (except for the positive effect on ‘other processes’) and (v) bivalve interactions with other FS were typically more positive at higher temperatures, but angiosperm‐seaweed interactions were not moderated by temperature.

Synthesis. Despite variations in experimental and spatiotemporal conditions, the stronger positive interactions at higher temperatures suggest that facilitation, particularly involving bivalves, may become more important in a future warmer world. Importantly, addressing research gaps, such as the scarcity of FS interaction experiments from tropical and freshwater systems and for less studied species, as well as testing for density‐dependent effects, could better inform aquatic ecosystem conservation and restoration efforts and broaden our knowledge of FS interactions in the Anthropocene.
Long‐term fluctuations and mechanisms of seed production of riparian tree canopy species
Authors: Sakio Hitoshi , Kon Ayumi , Kubo Masako , Nakano Yosuke 
Published: March 2023

AbstractAnnual seedfall was measured over a 24‐year period for three canopy species, Fraxinus platypoda, Pterocarya rhoifolia, and Cercidiphyllum japonicum, in a riparian forest in the Chichibu Mountains, central Japan. We collected seeds from 20 traps approximately every month, except in the winter. Fraxinus platypoda and P. rhoifolia seedfall fluctuated, with a 2‐year cycle. The seedfall of C. japonicum also fluctuated, but this species produced seeds every year, with an approximate 4‐year cycle. The simple moving average over 5 years for F. platypoda and P. rhoifolia was maintained at a constant level over the 24‐year period, but it gradually increased for C. japonicum. Each year's seedfall for the three species was influenced by the previous year's seedfall. The results for F. platypoda suggest that the fluctuations in the amount of seedfall were almost entirely dependent on fluctuations in stored resources, regardless of the previous year's weather. Conversely, the amount of seedfall for P. rhoifolia and C. japonicum was influenced by fluctuations in stored resources and the average temperature or precipitation in the summer of the year before flowering. These differences in seed production patterns were associated with differences in life history characteristics such as seed size and regeneration mechanisms.
Microbe–sediment interactions in Great Lakes recreational waters: Implications for human health risk
Authors: VanMensel Danielle , Chaganti Subba Rao , Droppo Ian G. , Weisener Christopher G. 
Published: March 2023

AbstractMicrobial assessments of recreational water have traditionally focused on culturing or DNA‐based approaches of the planktonic water column, omitting influence from microbe–sediment relationships. Sediment (bed and suspended) has been shown to often harbour levels of bacteria higher than the planktonic phase. The fate of suspended sediment (SS) bacteria is extensively related to transport dynamics (e.g., deposition) of the associated sediment/floc. When hydraulic energy allows, SS will settle, introducing new (potentially pathogenic) organisms to the bed. With turbulence, including waves, currents and swimmers, the risk of human ingestion is elevated due to resuspension of bed sediment and associated microbes. This research used multiplex nanofluidic reverse transcriptase quantitative PCR on RNA of bacteria associated with bed and SS to explore the active bacteria in freshwater shorelines. Bacterial genes of human health concern regarding recreational water use were targeted, such as faecal indicator bacteria (FIB), microbial source tracking genes and virulence factors from waterborne pathogens. Results indicate avian sources (i.e., gulls, geese) to be the largest nonpoint source of FIB associated with sediment in Great Lakes shorelines. This research introduces a novel approach to microbial water quality assessments and enhances our understanding of microbe–sediment dynamics and the quality of freshwater beaches.
Benefiting signatories at others’ expense: Effects and spatial spillover of local emergency cooperation agreements in China
Authors: Wang Fan‐Fan , Mao Qingduo 
Published: March 2023

AbstractLocal emergency cooperation agreements (LECA) led by local governments have increasingly become an important measure to address public crisis. In China, local governments have also launched such LECA to deal with occupational accidents and diseases. In this study, a quasi‐experimental design was used to evaluate the effects and spatial spillover of LECA on work safety performance improvements. Several econometric models were applied based on provincial panel data (2001–2019). The results show that: (1) LECA reduce both the number and mortality rate of workplace accidents in signatory provinces. (2) LECA can also induce a scale effect, which means that signatories can induce positive spillover effects on work safety performance in neighboring signatory provinces. (3) The analysis also identified negative spillover effects for neighboring non‐signatory provinces, indicating that LECA may lead to spatial spillover of industrial risks. (4) Further analysis indicated that the comprehensive effect of LECA is positive but not significant. (5) The spatial spillover of industrial risks due to LECA mainly occurs in the midwestern region, and positive spillover effect exists between the eastern and western regions due to the economic correlation factors. In addition, general recommendations for regional crisis cooperation among subnational governments are provided.
Bursts in biosynthetic gene cluster transcription are accompanied by surges of natural compound production in the myxobacterium Sorangium sp.
Authors: Boldt Judith , Lukoševičiūtė Laima , Fu Chengzhang , Steglich Matthias , Bunk Boyke , Junker Vera , Gollasch Aileen , Trunkwalter Birte , Mohr Kathrin I. , Beckstette Michael , Wink Joachim , Overmann Jörg , Müller Rolf , Nübel Ulrich 
Published: March 2023

AbstractA better understanding of the genetic regulation of the biosynthesis of microbial compounds could accelerate the discovery of new biologically active molecules and facilitate their production. To this end, we have investigated the time course of genome‐wide transcription in the myxobacterium Sorangium sp. So ce836 in relation to its production of natural compounds. Time‐resolved RNA sequencing revealed that core biosynthesis genes from 48 biosynthetic gene clusters (BGCs; 92% of all BGCs encoded in the genome) were actively transcribed at specific time points in a batch culture. The majority (80%) of polyketide synthase and non‐ribosomal peptide synthetase genes displayed distinct peaks of transcription during exponential bacterial growth. Strikingly, these bursts in BGC transcriptional activity were associated with surges in the net production rates of known natural compounds, indicating that their biosynthesis was critically regulated at the transcriptional level. In contrast, BGC read counts from single time points had limited predictive value about biosynthetic activity, since transcription levels varied >100‐fold among BGCs with detected natural products. Taken together, our time‐course data provide unique insights into the dynamics of natural compound biosynthesis and its regulation in a wild‐type myxobacterium, challenging the commonly cited notion of preferential BGC expression under nutrient‐limited conditions. The close association observed between BGC transcription and compound production warrants additional efforts to develop genetic engineering tools for boosting compound yields from myxobacterial producer strains.
Detection of sexual dimorphism of the foramen magnum in cats using computed tomography
Authors: Akbaş Zarife Selin , Duro Sokol , Yalin Ebru Eravcı , Gündemir Ozan , Özkan Ermiş , Szara Tomasz 
Published: March 2023

AbstractThe foramen magnum is a large round or oval opening surrounded by parts of the occipital bone. It connects the cranial cavity with the vertebral canal. The foramen magnum is an important structure having various applications in veterinary practice and forensic medicine. The variability of its shape and sexual dimorphism allow it to be exploited for sex and age identification in different species. This retrospective study used computed tomographic (CT) images of the caudal region of the 102 mixed‐breed cat heads (55 males and 47 females). Eight linear measurements of the foramen magnum (FM) and occipital condyles were performed on CT images. The aim of the study was to find out if the linear measurements of the CT images of the foramen magnum showed variability between the sexes of the cats. In general, the values of the linear measurements in male cats were higher than in females. The mean maximum length of the foramen magnum (MLFM) was 11.18 ± 0.84 mm and 10.63 ± 0.72 mm in male and female cats, respectively. The mean maximum internal width of the foramen magnum (MWFM) was 14.43 ± 0.72 mm in males and 13.75 ± 1.01 mm in females. The difference between FM measurements in female and male cats was statistically significant (pvalue; FML: 0.001, FMW: 0.000). The MLFM confidence interval was 10.41 mm to 10.86 mm in female cats and 10.97 mm to 11.39 mm in males. The confidence interval of MWFM was 13.5 mm to 14.0 mm in female cats and 14.2 mm to 14.66 mm in male cats. With these intervals, we can predict the probability of sex in cats with 95% confidence. It was noted that measurements of the occipital condyles were not sex‐determining. The difference in foramen magnum index in female and male cats was statistically insignificant (pvalue; 0.875). As a result of the study, it was seen that the linear measurements of the foramen magnum were sex‐determining.