bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of message orientation/vividness on consumer engagement for travel brands on social networking sites
Authors: Yousaf Anish , Amin Insha , Jaziri Dhouha , Mishra Abhishek 
Published: May 2020

Purpose
The purpose of this study is to examine how consumer-brand engagement on social networking sites (SNS) is an outcome of the message orientation/vividness.

Design/methodology/approach
Message design is proposed to include two components, namely, orientation and vividness. The message orientation is classified as either task/instrumental or socioemotional. The message vividness is measured through content type. The consumer-brand engagement is conceptualized at three levels, namely, cognitive (comment), affective (shares) and conative (likes). A total of 1,000 posts were collected from the official Facebook pages of the 10 most popular travel brands, five each from India and the USA. These two countries were chosen as they are culturally different, with the former representing a largely collectivist culture and greater social connectivity and the latter representing primarily an individualistic culture.

Findings
The study reveals that greater message vividness, with more interactive/audio-visual content, leads to higher engagement. The task/instrumental message orientation leads to low-/medium-level engagement. Overall, a combination of high-vividness and socioemotional orientation generates maximum engagement. India and the USA depict unique effects of message orientations/vividness on the consumer-brand engagement levels, indicating cultural implications for the brand SNS messages – effectiveness.

Research limitations/implications
The study’s conceptualization of consumer-brand engagement reflected through the consumers – responses to brands – SNS messages, represents new knowledge. The unique effects of message vividness and orientation on consumer-brand engagement and the variations across cultures is also a novel contribution to the extant branding literature.

Practical implications
The brand marketers should not only design their SNS messages with appropriate vividness/orientation but also tweak them across cultures, for maximum consumer engagement.

Originality/value
The study is a novel attempt to deploy the interaction process analysis framework in an SNS setting.
Managers' disruptive innovation activities: the construct, measurement and validity
Authors: Sadiq Fawad , Hussain Tasweer , Naseem Afshan 
Published: May 2020

PurposeThe purpose of this paper is to present results of a study that operationalizes the construct of disruptive innovation activities (DIA) at managerial level and to examine its validity.Design/methodology/approachA sequential mixed method approach is adopted in this study where a Likert-type scale to measure DIA is developed basing on the interviews of thirteen managers and conceptualization of disruptive innovation at manager level. Later, the scale validity and reliability are examined through quantitative data from 390 managers. The data are analyzed using IBM SPSS 23 and AMOS 21.FindingsThe findings of the study indicate that managers' DIA are spread across four phases of the disruptive innovation process, i.e. initiation, introduction, evolution and convergence. Furthermore, the reliability measures, exploratory factor analyses, confirmatory factor analysis and subsequent convergent and discriminant validity tests support the DIA scale. Nomological validity of DIA is also presented which demonstrates its predictive validity.Research limitations/implicationsLimitations include research methods used in this study, such as cross-sectional design and nonprobabilistic sampling technique. Implications for future research are also provided.Originality/valueDespite highlighting the importance of managers regarding disruptive innovation outcomes, prior research lacked to provide empirical foundations to understand the phenomenon from managerial perspective. This study fills this gap in the literature by providing a measure of DIA at manager level and distinguishing it from similar constructs. The construct validity of DIA can help measure an organization's disruptive potential in terms of its key human resource. Moreover, the DIA scale can be used to substantiate the alignment of the managerial activities with the innovation roles in organizational settings and to develop more relevant incentive plans.
Do sentimental investors price rational information? Evidence from the Boston Celtics
Authors: Carter Kelly 
Published: May 2020

PurposeMuch evidence exists that rational investors factor rational information into their valuation of shares. This paper aims to examine whether sentimental investors do the same.Design/methodology/approachTo investigate this issue, the author measures sentimental investors’ reaction to the surprise player transactions of the Boston Celtics, which traded on the New York Stock Exchange for 18 years. The team’s shares were bought mainly as souvenirs by sports fans, whose largely unwavering support makes them perhaps the least likely investors to be influenced by rational information. Thus, if the team’s share price changes because of the arrival of rational information, evidence that sentimental traders price rational information into their valuation of a stock will exist.FindingsAn acquired player’s salary, education and firm-specific experience with the Boston Celtics cause higher returns. This result provides evidence that sentimental traders factor rational information into their valuations of shares. On a broader scale, the findings underscore the importance of rational information to the valuation process, as even sentimental investors price rational information into a stock that is held for sentimental reasons. Moreover, the results are consistent with the nudge theory, in that the arrival of rational information encourages (i.e. nudges) sentimental investors to price the rational information as a rational investor world.Originality/valueThis study is the first to show that sentimental traders also factor rational information into the valuation process – an idea that was likely assumed prior to this study, but was never substantiated.
HE-Co-HOG and k-SVM classifier for finger knuckle and palm print-based multimodal biometric recognition
Authors: Veluchamy S. , Karlmarx L.R. 
Published: May 2020

Purpose
Biometric identification system has become emerging research field because of its wide applications in the fields of security. This study (multimodal system) aims to find more applications than the unimodal system because of their high user acceptance value, better recognition accuracy and low-cost sensors. The biometric identification using the finger knuckle and the palmprint finds more application than other features because of its unique features.

Design/methodology/approach
The proposed model performs the user authentication through the extracted features from both the palmprint and the finger knuckle images. The two major processes in the proposed system are feature extraction and classification. The proposed model extracts the features from the palmprint and the finger knuckle with the proposed HE-Co-HOG model after the pre-processing. The proposed HE-Co-HOG model finds the Palmprint HE-Co-HOG vector and the finger knuckle HE-Co-HOG vector. These features from both the palmprint and the finger knuckle are combined with the optimal weight score from the fractional firefly (FFF) algorithm. The layered k-SVM classifier classifies each person's identity from the fused vector.

Findings
Two standard data sets with the palmprint and the finger knuckle images were used for the simulation. The simulation results were analyzed in two ways. In the first method, the bin sizes of the HE-Co-HOG vector were varied for the various training of the data set. In the second method, the performance of the proposed model was compared with the existing models for the different training size of the data set. From the simulation results, the proposed model has achieved a maximum accuracy of 0.95 and the lowest false acceptance rate and false rejection rate with a value of 0.1.

Originality/value
In this paper, the multimodal biometric recognition system based on the proposed HE-Co-HOG with the k-SVM and the FFF is developed. The proposed model uses the palmprint and the finger knuckle images as the biometrics. The development of the proposed HE-Co-HOG vector is done by modifying the Co-HOG with the holoentropy weights.
The impact of knowledge management practice on digital financial innovation: the role of bank managers
Authors: Al-Dmour Ahmed , Al-Dmour Rand , Rababeh Nafissa 
Published: May 2020

Purpose
This paper aims to examine the impact of knowledge management functions (acquisition, integration and utilization) on digital financial innovation through the moderating role of managers’ demographic characteristics (age, sex, education, experience and position) in commercial banks operating in Lebanon.

Design/methodology/approach
To accomplish this aim, a conceptual framework based on knowledge-based theory and literature review was developed the data for this research was collected through a self-administered questionnaire with 181 respondents. The target respondents were managers of commercial banks in Lebanon.

Findings
The empirical findings of the study suggest that the practice of knowledge management functions practice has a positive and significant relationship with digital financial innovation. The findings also provide support for the moderating effect of only two demographic characteristics of bank managers; experience and position on the relationship between knowledge management and digital financial innovation in commercial banks in Lebanon.

Practical implications
The managers of commercial banks in Lebanon and similar countries could use the study findings to better understand the practices of knowledge management in the banks and also the skills acquired or existing in the individuals working in their organizations and is also helpful to enhance their level of digital financial innovations.

Originality/value
This study has investigated the unexplored impact of knowledge management on digital financial innovation via moderating role of managers' demographic characteristics among commercial banks operating in Lebanon as a developing country.
Modeling the enablers of supply chain strategies and information technology: improving performance through TISM approach
Authors: Irfan Muhammad , Wang Mingzheng , Zafar Abaid Ullah , Shahzad Mohsin , Islam Tahir 
Published: May 2020

Purpose
This study aims to investigate the hierarchical relationship between industry-specific attributes of supply chain (SC) strategies and information technology (IT) to improve the performance of firms in textile industry in Pakistan.

Design/methodology/approach
This study presents a mix of enablers through literature review and experts’ opinions. Next, the driving and dependence powers of enablers were identified, using the interpretive structural modeling (ISM) approach.

Findings
The ISM model suggests eight levels, with customer satisfaction at the top of the model. Process automation and TQM are placed at second and third level, respectively, whereas flexible sourcing and flexible capacity are positioned at fourth level. The key enablers of IT have high driving power, hence positioned at the bottom of ISM model.

Originality/value
This study has value for firms in garment manufacturing and exporting industry to invest into IT and sustainable SC design for competitive performance. The theoretical and managerial implications are provided.
Building smart communities for sustainable development:
Authors: McNaughton Maurice , Rao Lila , Verma Sameer 
Published: May 2020

Purpose
Tourism is an important economic activity, and a significant contributor to employment, growth and sustainable development for most of the predominantly small island developing states of the Caribbean. Community-based tourism, given its intuitively natural alignment with the interests and greater inclusiveness of local actors and communities, is considered to be an important contributor to sustainable tourism. This study aims to evaluate the potential for digital technologies to amplify the distinctiveness, enhance service delivery and ultimately contribute to the sustainability of community tourism contexts.

Design/methodology/approach
The research uses a form of participatory action research that involves active collaboration between researchers and practitioners. The authors propose a framework approach for implementing smart community initiatives within a community tourism context.

Findings
The human-centered, participatory framework approach described in this research can help to empower community tourism by providing increased visibility and enhanced service delivery for small operators. These outcomes can become important contributions to enhancing inclusive and sustainable development and capacity for participatory, integrated and sustainable local communities – a key outcome for sustainable development goal 11 – sustainable cities and communities.

Research limitations/implications
The research is ongoing with the value outcomes still emerging. The empirical domain is confined to a single geographical context, so the findings and insights may not be generalizable.

Practical implications
Beyond the emerging research insights, the project produced specific digital artifacts such as geospatial data and technology platforms; and process outcomes such as training, capacity-building and empowerment of community members. In particular, youth trained to create and maintain the digital infrastructure (community mapping) provide an important local capability that can be re-purposed for other types of field-based data collection activities, thus providing alternative economic opportunities.

Originality/value
The map-based information and digital content are localized to a specific geographical context, using data mapped by local actors, who possess the best local knowledge about what the community has to offer. The approach and supporting technologies can be readily replicated into other communities.
Food web properties vary with climate and land use in South African streams
Authors: Jackson Michelle C. , Fourie Hermina E. , Dalu Tatenda , Woodford Darragh J. , Wasserman Ryan J. , Zengeya Tsungai A. , Ellender Bruce R. , Kimberg Peter K. , Jordaan Martine S. , Chimimba Christian T. , Weyl Olaf L. F. 
Published: May 2020

Abstract

Land use intensification and climate change are two prominent drivers of variation in biological communities. However, we know very little about how these two potential environmental stressors interact. Here we use a stable isotope approach to quantify how animal communities respond to urban and agriculture land use, and to latitudinal variation in climate (rainfall and temperature), in 29 streams across South Africa.

Community structure was shaped by both land use and climatic factors. The taxonomic diversity of invertebrates was best explained by an independent negative effect of urbanization, while abundance declined in summer. However, we could not use our variables to predict fish diversity (suggesting that other factors may be more important).

Both trophic functional diversity (quantifed using isotopic richness) and food chain length declined with increasing temperature. Functional redundancy (quantifed using isotopic uniqueness) in the invertebrate community was high in wet areas, and a synergistic interaction with urbanization caused the lowest values in dry urban regions. There was an additive effect of agriculture and rainfall on abundance‐weighted vertebrate functional diversity (quantified using isotopic dispersion), with the former causing a decline in dispersion, with this partially compensated for by high rainfall.

In most cases, we found that a single dominant driver (either climate or land use) explained variation between streams. We only found two incidences of combined effects improving the model, one of which was amplified (i.e. the drivers combined to cause an effect larger than the sum of their independent effects), indicating that management should first focus on mitigating the dominant stressor in stream ecosystems for successful restoration efforts.

Overall, our study indicates subtle food web responses to multiple drivers of change, only identified by using functional isotope metrics—these are a useful tool for a whole‐systems biology understanding of global change.

A free Plain Language Summary can be found within the Supporting Information of this article.
Post‐stack impedance blocky inversion based on analytic solution of viscous acoustic wave equation
Authors: Li Yuanqiang , Li Jingye , Chen Xiaohong , Zhang Jian , Bo Xin 
Published: May 2020

ABSTRACTThe conventional impedance inversion method ignores the attenuation effect, transmission loss and inter‐layer multiple waves; the smooth‐like regularization approach makes the corresponding impedance solution excessively smooth. Both fundamentally limit the resolution of impedance result and lead to the inadequate ability of boundary characterization. Therefore, a post‐stack impedance blocky inversion method based on the analytic solution of viscous acoustic equation is proposed. Based on the derived recursive formula of reflections, the 1D viscous acoustic wave equation is solved analytically to obtain zero‐offset full‐wave field response. Applying chain rule, the analytical expression of the Fréchet derivative is derived for gradient‐descent non‐linear inversion. Combined with smooth constraints, the blocky constraints can be introduced into the Bayesian inference framework to obtain stable and well‐defined inversion results. According to the above theory, we firstly use model data to analyse the influence of incompleteness of forward method on seismic response, and further verify the effectiveness of the proposed method. Then the Q‐value sensitivity analysis of seismic trace is carried out to reduce the difficulty of Q‐value estimation. Finally, the real data from Lower Congo Basin in West Africa indicate that the proposed approach provide the high‐resolution and well‐defined impedance result. As a supplement and development of linear impedance inversion method, the non‐linear viscous inversion could recover more realistic and reliable impedance profiles.
Plant dispersal strategies of high tropical alpine communities across the Andes
Authors: Tovar Carolina , Melcher Inga , Kusumoto Buntarou , Cuesta Francisco , Cleef Antoine , Meneses Rosa Isela , Halloy Stephan , Llambí Luis Daniel , Beck Stephan , Muriel Priscilla , Jaramillo Ricardo , Jácome Jorge , Carilla Julieta 
Published: May 2020

Abstract

Dispersal is a key ecological process that influences plant community assembly. Therefore, understanding whether dispersal strategies are associated with climate is of utmost importance, particularly in areas greatly exposed to climate change. We examined alpine plant communities located in the mountain summits of the tropical Andes across a 4,000‐km latitudinal gradient. We investigated species dispersal strategies and tested their association with climatic conditions and their evolutionary history.

We used dispersal‐related traits (dispersal mode and growth form) to characterize dispersal strategies for 486 species recorded on 49 mountain summits. Then we analysed the phylogenetic signal of traits and investigated the association between dispersal traits, phylogeny, climate and space using structural equation modelling and fourth‐corner analysis together with RLQ ordination.

A median of 36% species in the communities was anemochorous (wind‐dispersed) and herbaceous. This dispersal strategy was followed by the barochory‐herb combination (herbaceous with unspecialized seeds, dispersed by gravity) with a median of 26.3% species in the communities. The latter strategy was common among species with distributions restricted to alpine environments.

While trait states were phylogenetically conserved, they were significantly associated with a temperature gradient. Low minimum air temperatures, found at higher latitudes/elevations, were correlated with the prevalence of barochory and the herb growth form, traits that are common among Caryophyllales, Brassicaceae and Poaceae. Milder temperatures, found at lower latitudes/elevations, were associated with endozoochorous, shrub species mostly from the Ericaceae family. Anemochorous species were found all along the temperature gradient, possibly due to the success of anemochorous Compositae species in alpine regions. We also found that trait state dominance was more associated with the climatic conditions of the summit than with community phylogenetic structure. Although the evolutionary history of the tropical Andean flora has also shaped dispersal strategies, our results suggest that the environment had a more predominant role.

Synthesis. We showed that dispersal‐related traits are strongly associated with a gradient of minimum air temperatures in the Andes. Global warming may weaken this key filter at tropical alpine summits, potentially altering community dispersal strategies in this region and thus, plant community structure and composition.
Effects of grass competition on tree seedlings growth under different light and nutrient availability conditions in tropical dry forests in India
Authors: Bhadouria Rahul , Srivastava Pratap , Singh Rishikesh , Tripathi Sachchidanand , Verma Pramit , Raghubanshi Akhilesh Singh 
Published: May 2020

AbstractThe interactive effects of light, nutrient availability and grass competition on seedlings of four tropical dry forest tree species, namely, Indian jujube (Ziziphus mauritiana), arjun (Terminalia arjuna), gum arabic (Acacia nilotica) and catechu (Acacia catechu), were evaluated in an experimental study at Banaras Hindu University, Varanasi, India. Full‐ and reduced‐ (20% of the full) sunlight, no‐nutrient and nutrient supplementation, and presence of grass and no‐grass conditions were taken in a split‐plot design to observe the effects on the plant growth and leaf nutrient parameters. We observed a significant interaction between light and nutrient availability on total dry weight and relative growth rate for the tree seedlings of all the species. Seedling growth was lower in presence of grass under full sunlight condition with/without nutrient addition, and also under reduced sunlight condition with nutrient addition. However, leaf‐N and ‐P concentration showed slight increase following nutrient addition across the species and light conditions. All the species responded positively to nutrient addition irrespective of light and grass conditions. Our study further indicates that nutrient addition under reduced light condition in tropical dry forests may be a possible strategy to ameliorate the negative impact of grasses on tree seedling growth. Overall, a better understanding of tree seedling establishment in the presence of grasses is of utmost importance for the development of management plans that may improve the diversity of tree species in tropical dry forests.
Trustee affiliation and servicer oversight: Evidence from CMBS markets
Authors: D'Lima Walter , Lopez Luis Arturo 
Published: May 2020

AbstractWe study the effect of a change in trustees' incentives to monitor servicers in CMBS markets. Our identification strategy rests on variation in servicer–trustee affiliation that arises from mergers. We present evidence that affiliation is associated with excessive principal and interest advances on delinquent loans that are not in the interest of bondholders. We observe that a servicer–trustee affiliation affects the waterfall cash flows of senior, mezzanine, and junior bond‐tranches. Additionally, we find that affiliation increases the loss rate by $0.05 or $0.07 per dollar of outstanding debt and estimate an economic impact of $5.5 billion in market‐wide liquidation losses.