bluuebunny/crossref_metadata_2025 huggingface dataset:
Stability and generalization in seed dispersal networks: a case study of frugivorous fish in Neotropical wetlands
Authors: Correa Sandra Bibiana , Arujo Joisiane K. , Penha Jerry , Nunes da Cunha Catia , Bobier Karen E. , Anderson Jill T.
Published: August 2016

When species within guilds perform similar ecological roles, functional redundancy can buffer ecosystems against species loss. Using data on the frequency of interactions between fish and fruit, we assessed whether co-occurring frugivores provide redundant seed dispersal services in three species-rich Neotropical wetlands. Our study revealed that frugivorous fishes have generalized diets; however, large-bodied fishes had greater seed dispersal breadth than small species, in some cases, providing seed dispersal services not achieved by smaller fish species. As overfishing disproportionately affects big fishes, the extirpation of these species could cause larger secondary extinctions of plant species than the loss of small specialist frugivores. To evaluate the consequences of frugivore specialization for network stability, we extracted data from 39 published seed dispersal networks of frugivorous birds, mammals and fish (our networks) across ecosystems. Our analysis of interaction frequencies revealed low frugivore specialization and lower nestedness than analyses based on binary data (presence–absence of interactions). In that case, ecosystems may be resilient to loss of any given frugivore. However, robustness to frugivore extinction declines with specialization, such that networks composed primarily of specialist frugivores are highly susceptible to the loss of generalists. In contrast with analyses of binary data, recently developed algorithms capable of modelling interaction strengths provide opportunities to enhance our understanding of complex ecological networks by accounting for heterogeneity of frugivore–fruit interactions.
The impact of fossil data on annelid phylogeny inferred from discrete morphological characters
Authors: Parry Luke A. , Edgecombe Gregory D. , Eibye-Jacobsen Danny , Vinther Jakob
Published: August 2016

As a result of their plastic body plan, the relationships of the annelid worms and even the taxonomic makeup of the phylum have long been contentious. Morphological cladistic analyses have typically recovered a monophyletic Polychaeta, with the simple-bodied forms assigned to an early-diverging clade or grade. This is in stark contrast to molecular trees, in which polychaetes are paraphyletic and include clitellates, echiurans and sipunculans. Cambrian stem group annelid body fossils are complex-bodied polychaetes that possess well-developed parapodia and paired head appendages (palps), suggesting that the root of annelids is misplaced in morphological trees. We present a reinvestigation of the morphology of key fossil taxa and include them in a comprehensive phylogenetic analysis of annelids. Analyses using probabilistic methods and both equal- and implied-weights parsimony recover paraphyletic polychaetes and support the conclusion that echiurans and clitellates are derived polychaetes. Morphological trees including fossils depict two main clades of crown-group annelids that are similar, but not identical, to Errantia and Sedentaria, the fundamental groupings in transcriptomic analyses. Removing fossils yields trees that are often less resolved and/or root the tree in greater conflict with molecular topologies. While there are many topological similarities between the analyses herein and recent phylogenomic hypotheses, differences include the exclusion of Sipuncula from Annelida and the taxa forming the deepest crown-group divergences.
Population differences in olfaction accompany host shift in
Drosophila mojavensis
Authors: Crowley-Gall Amber , Date Priya , Han Clair , Rhodes Nicole , Andolfatto Peter , Layne John E. , Rollmann Stephanie M.
Published: August 2016

Evolutionary shifts in plant–herbivore interactions provide a model for understanding the link among the evolution of behaviour, ecological specialization and incipient speciation.
Drosophila mojavensis
uses different host cacti across its range, and volatile chemicals emitted by the host are the primary cue for host plant identification. In this study, we show that changes in host plant use between distinct
D. mojavensis
populations are accompanied by changes in the olfactory system. Specifically, we observe differences in olfactory receptor neuron specificity and sensitivity, as well as changes in sensillar subtype abundance, between populations. Additionally, RNA-seq analyses reveal differential gene expression between populations for members of the odorant receptor gene family. Hence, alterations in host preference are associated with changes in development, regulation and function at the olfactory periphery.
Interpreting BOLD: towards a dialogue between cognitive and cellular neuroscience
Authors: Hall Catherine N. , Howarth Clare , Kurth-Nelson Zebulun , Mishra Anusha
Published: August 2016

Cognitive neuroscience depends on the use of blood oxygenation level-dependent (BOLD) functional magnetic resonance imaging (fMRI) to probe brain function. Although commonly used as a surrogate measure of neuronal activity, BOLD signals actually reflect changes in brain blood oxygenation. Understanding the mechanisms linking neuronal activity to vascular perfusion is, therefore, critical in interpreting BOLD. Advances in cellular neuroscience demonstrating differences in this neurovascular relationship in different brain regions, conditions or pathologies are often not accounted for when interpreting BOLD. Meanwhile, within cognitive neuroscience, the increasing use of high magnetic field strengths and the development of model-based tasks and analyses have broadened the capability of BOLD signals to inform us about the underlying neuronal activity, but these methods are less well understood by cellular neuroscientists. In 2016, a Royal Society Theo Murphy Meeting brought scientists from the two communities together to discuss these issues. Here, we consolidate the main conclusions arising from that meeting. We discuss areas of consensus about what BOLD fMRI can tell us about underlying neuronal activity, and how advanced modelling techniques have improved our ability to use and interpret BOLD. We also highlight areas of controversy in understanding BOLD and suggest research directions required to resolve these issues.

This article is part of the themed issue ‘Interpreting BOLD: a dialogue between cognitive and cellular neuroscience’.
Neuronal networks and mediators of cortical neurovascular coupling responses in normal and altered brain states
Authors: Lecrux C. , Hamel E.
Published: August 2016

Brain imaging techniques that use vascular signals to map changes in neuronal activity, such as blood oxygenation level-dependent functional magnetic resonance imaging, rely on the spatial and temporal coupling between changes in neurophysiology and haemodynamics, known as ‘neurovascular coupling (NVC)’. Accordingly, NVC responses, mapped by changes in brain haemodynamics, have been validated for different stimuli under physiological conditions. In the cerebral cortex, the networks of excitatory pyramidal cells and inhibitory interneurons generating the changes in neural activity and the key mediators that signal to the vascular unit have been identified for some incoming afferent pathways. The neural circuits recruited by whisker glutamatergic-, basal forebrain cholinergic- or locus coeruleus noradrenergic pathway stimulation were found to be highly specific and discriminative, particularly when comparing the two modulatory systems to the sensory response. However, it is largely unknown whether or not NVC is still reliable when brain states are altered or in disease conditions. This lack of knowledge is surprising since brain imaging is broadly used in humans and, ultimately, in conditions that deviate from baseline brain function. Using the whisker-to-barrel pathway as a model of NVC, we can interrogate the reliability of NVC under enhanced cholinergic or noradrenergic modulation of cortical circuits that alters brain states.

This article is part of the themed issue ‘Interpreting BOLD: a dialogue between cognitive and cellular neuroscience’.
Functional magnetic resonance imaging in chronic ischaemic stroke
Authors: Lake Evelyn M. R. , Bazzigaluppi Paolo , Stefanovic Bojana
Published: August 2016

Ischaemic stroke is the leading cause of adult disability worldwide. Effective rehabilitation is hindered by uncertainty surrounding the underlying mechanisms that govern long-term ischaemic injury progression. Despite its potential as a sensitive non-invasive
in vivo
marker of brain function that may aid in the development of new treatments, blood oxygenation level-dependent (BOLD) functional magnetic resonance imaging (fMRI) has found limited application in the clinical research on chronic stage stroke progression. Stroke affects each of the physiological parameters underlying the BOLD contrast, markedly complicating the interpretation of BOLD fMRI data. This review summarizes current progress on application of BOLD fMRI in the chronic stage of ischaemic injury progression and discusses means by which more information may be gained from such BOLD fMRI measurements. Concomitant measurements of vascular reactivity, neuronal activity and metabolism in preclinical models of stroke are reviewed along with illustrative examples of post-ischaemic evolution in neuronal, glial and vascular function. The realization of the BOLD fMRI potential to propel stroke research is predicated on the carefully designed preclinical research establishing an ischaemia-specific quantitative model of BOLD signal contrast to provide the framework for interpretation of fMRI findings in clinical populations.

This article is part of the themed issue ‘Interpreting BOLD: a dialogue between cognitive and cellular neuroscience’.
The roadmap for estimation of cell-type-specific neuronal activity from non-invasive measurements
Authors: Uhlirova Hana , Kılıç Kıvılcım , Tian Peifang , Sakadžić Sava , Gagnon Louis , Thunemann Martin , Desjardins Michèle , Saisan Payam A. , Nizar Krystal , Yaseen Mohammad A. , Hagler Donald J. , Vandenberghe Matthieu , Djurovic Srdjan , Andreassen Ole A. , Silva Gabriel A. , Masliah Eliezer , Kleinfeld David , Vinogradov Sergei , Buxton Richard B. , Einevoll Gaute T. , Boas David A. , Dale Anders M. , Devor Anna
Published: August 2016

The computational properties of the human brain arise from an intricate interplay between billions of neurons connected in complex networks. However, our ability to study these networks in healthy human brain is limited by the necessity to use non-invasive technologies. This is in contrast to animal models where a rich, detailed view of cellular-level brain function with cell-type-specific molecular identity has become available due to recent advances in microscopic optical imaging and genetics. Thus, a central challenge facing neuroscience today is leveraging these mechanistic insights from animal studies to accurately draw physiological inferences from non-invasive signals in humans. On the essential path towards this goal is the development of a detailed ‘bottom-up’ forward model bridging neuronal activity at the level of cell-type-specific populations to non-invasive imaging signals. The general idea is that specific neuronal cell types have identifiable signatures in the way they drive changes in cerebral blood flow, cerebral metabolic rate of O
2
(measurable with quantitative functional Magnetic Resonance Imaging), and electrical currents/potentials (measurable with magneto/electroencephalography). This forward model would then provide the ‘ground truth’ for the development of new tools for tackling the inverse problem—estimation of neuronal activity from multimodal non-invasive imaging data.

This article is part of the themed issue ‘Interpreting BOLD: a dialogue between cognitive and cellular neuroscience’.
Neural–metabolic coupling in the central visual pathway
Authors: Freeman Ralph D. , Li Baowang
Published: August 2016

Studies are described which are intended to improve our understanding of the primary measurements made in non-invasive neural imaging. The blood oxygenation level-dependent signal used in functional magnetic resonance imaging (fMRI) reflects changes in deoxygenated haemoglobin. Tissue oxygen concentration, along with blood flow, changes during neural activation. Therefore, measurements of tissue oxygen together with the use of a neural sensor can provide direct estimates of neural–metabolic interactions. We have used this relationship in a series of studies in which a neural microelectrode is combined with an oxygen micro-sensor to make simultaneous co-localized measurements in the central visual pathway. Oxygen responses are typically biphasic with small initial dips followed by large secondary peaks during neural activation. By the use of established visual response characteristics, we have determined that the oxygen initial dip provides a better estimate of local neural function than the positive peak. This contrasts sharply with fMRI for which the initial dip is unreliable. To extend these studies, we have examined the relationship between the primary metabolic agents, glucose and lactate, and associated neural activity. For this work, we also use a Doppler technique to measure cerebral blood flow (CBF) together with neural activity. Results show consistent synchronously timed changes such that increases in neural activity are accompanied by decreases in glucose and simultaneous increases in lactate. Measurements of CBF show clear delays with respect to neural response. This is consistent with a slight delay in blood flow with respect to oxygen delivery during neural activation.

This article is part of the themed issue ‘Interpreting BOLD: a dialogue between cognitive and cellular neuroscience’.
Validation and optimization of hypercapnic-calibrated fMRI from oxygen-sensitive two-photon microscopy
Authors: Gagnon Louis , Sakadžić Sava , Lesage Frédéric , Pouliot Philippe , Dale Anders M. , Devor Anna , Buxton Richard B. , Boas David A.
Published: August 2016

Hypercapnic-calibrated fMRI allows the estimation of the relative changes in the cerebral metabolic rate of oxygen (rCMRO
2
) from combined BOLD and arterial spin labelling measurements during a functional task, and promises to permit more quantitative analyses of brain activity patterns. The estimation relies on a macroscopic model of the BOLD effect that balances oxygen delivery and consumption to predict haemoglobin oxygenation and the BOLD signal. The accuracy of calibrated fMRI approaches has not been firmly established, which is limiting their broader adoption. We use our recently developed microscopic vascular anatomical network model in mice as a ground truth simulator to test the accuracy of macroscopic, lumped-parameter BOLD models. In particular, we investigate the original Davis model and a more recent heuristic simplification. We find that these macroscopic models are inaccurate using the originally defined parameters, but that the accuracy can be significantly improved by redefining the model parameters to take on new values. In particular, we find that the parameter
α
that relates cerebral blood-volume changes to cerebral blood-flow changes is significantly smaller than typically assumed and that the optimal value changes with magnetic field strength. The results are encouraging in that they support the use of simple BOLD models to quantify BOLD signals, but further work is needed to understand the physiological interpretation of the redefined model parameters.

This article is part of the themed issue ‘Interpreting BOLD: a dialogue between cognitive and cellular neuroscience’.
What is feasible with imaging human brain function and connectivity using functional magnetic resonance imaging
Authors: Ugurbil Kamil
Published: August 2016

When we consider all of the methods we employ to detect brain function, from electrophysiology to optical techniques to functional magnetic resonance imaging (fMRI), we do not really have a ‘golden technique’ that meets all of the needs for studying the brain. We have methods, each of which has significant limitations but provide often complimentary information. Clearly, there are many questions that need to be answered about fMRI, which unlike other methods, allows us to study the human brain. However, there are also extraordinary accomplishments or demonstration of the feasibility of reaching new and previously unexpected scales of function in the human brain. This article reviews some of the work we have pursued, often with extensive collaborations with other co-workers, towards understanding the underlying mechanisms of the methodology, defining its limitations, and developing solutions to advance it. No doubt, our knowledge of human brain function has vastly expanded since the introduction of fMRI. However, methods and instrumentation in this dynamic field have evolved to a state that discoveries about the human brain based on fMRI principles, together with information garnered at a much finer spatial and temporal scale through other methods, are poised to significantly accelerate in the next decade.

This article is part of the themed issue ‘Interpreting BOLD: a dialogue between cognitive and cellular neuroscience’.
Gene transcription profiles associated with inter-modular hubs and connection distance in human functional magnetic resonance imaging networks
Authors: Vértes Petra E. , Rittman Timothy , Whitaker Kirstie J. , Romero-Garcia Rafael , Váša František , Kitzbichler Manfred G. , Wagstyl Konrad , Fonagy Peter , Dolan Raymond J. , Jones Peter B. , Goodyer Ian M. ,   the NSPN Consortium, Bullmore Edward T.
Published: August 2016

Human functional magnetic resonance imaging (fMRI) brain networks have a complex topology comprising integrative components, e.g. long-distance inter-modular edges, that are theoretically associated with higher biological cost. Here, we estimated intra-modular degree, inter-modular degree and connection distance for each of 285 cortical nodes in multi-echo fMRI data from 38 healthy adults. We used the multivariate technique of partial least squares (PLS) to reduce the dimensionality of the relationships between these three nodal network parameters and prior microarray data on regional expression of 20 737 genes. The first PLS component defined a transcriptional profile associated with high intra-modular degree and short connection distance, whereas the second PLS component was associated with high inter-modular degree and long connection distance. Nodes in superior and lateral cortex with high inter-modular degree and long connection distance had local transcriptional profiles enriched for oxidative metabolism and mitochondria, and for genes specific to supragranular layers of human cortex. In contrast, primary and secondary sensory cortical nodes in posterior cortex with high intra-modular degree and short connection distance had transcriptional profiles enriched for RNA translation and nuclear components. We conclude that, as predicted, topologically integrative hubs, mediating long-distance connections between modules, are more costly in terms of mitochondrial glucose metabolism.

This article is part of the themed issue ‘Interpreting BOLD: a dialogue between cognitive and cellular neuroscience’.
How networks communicate: propagation patterns in spontaneous brain activity
Authors: Mitra Anish , Raichle Marcus E.
Published: August 2016

Initially regarded as ‘noise’, spontaneous (intrinsic) activity accounts for a large portion of the brain's metabolic cost. Moreover, it is now widely known that infra-slow (less than 0.1 Hz) spontaneous activity, measured using resting state functional magnetic resonance imaging of the blood oxygen level-dependent (BOLD) signal, is correlated within functionally defined resting state networks (RSNs). However, despite these advances, the temporal organization of spontaneous BOLD fluctuations has remained elusive. By studying temporal lags in the resting state BOLD signal, we have recently shown that spontaneous BOLD fluctuations consist of remarkably reproducible patterns of whole brain propagation. Embedded in these propagation patterns are unidirectional ‘motifs’ which, in turn, give rise to RSNs. Additionally, propagation patterns are markedly altered as a function of state, whether physiological or pathological. Understanding such propagation patterns will likely yield deeper insights into the role of spontaneous activity in brain function in health and disease.

This article is part of the themed issue ‘Interpreting blood oxygen level-dependent: a dialogue between cognitive and cellular neuroscience’.
Inferring brain-computational mechanisms with models of activity measurements
Authors: Kriegeskorte Nikolaus , Diedrichsen Jörn
Published: August 2016

High-resolution functional imaging is providing increasingly rich measurements of brain activity in animals and humans. A major challenge is to leverage such data to gain insight into the brain's computational mechanisms. The first step is to define candidate brain-computational models (BCMs) that can perform the behavioural task in question. We would then like to infer which of the candidate BCMs best accounts for measured brain-activity data. Here we describe a method that complements each BCM by a measurement model (MM), which simulates the way the brain-activity measurements reflect neuronal activity (e.g. local averaging in functional magnetic resonance imaging (fMRI) voxels or sparse sampling in array recordings). The resulting generative model (BCM-MM) produces simulated measurements. To avoid having to fit the MM to predict each individual measurement channel of the brain-activity data, we compare the measured and predicted data at the level of summary statistics. We describe a novel particular implementation of this approach, called probabilistic representational similarity analysis (pRSA) with MMs, which uses representational dissimilarity matrices (RDMs) as the summary statistics. We validate this method by simulations of fMRI measurements (locally averaging voxels) based on a deep convolutional neural network for visual object recognition. Results indicate that the way the measurements sample the activity patterns strongly affects the apparent representational dissimilarities. However, modelling of the measurement process can account for these effects, and different BCMs remain distinguishable even under substantial noise. The pRSA method enables us to perform Bayesian inference on the set of BCMs and to recognize the data-generating model in each case.

This article is part of the themed issue ‘Interpreting BOLD: a dialogue between cognitive and cellular neuroscience’.
A topological coordinate system for the diamond cubic grid
Authors: Čomić Lidija , Nagy Benedek
Published: August 2016

Topological coordinate systems are used to address all cells of abstract cell complexes. In this paper, a topological coordinate system for cells in the diamond cubic grid is presented and some of its properties are detailed. Four dependent coordinates are used to address the voxels (triakis truncated tetrahedra), their faces (hexagons and triangles), their edges and the points at their corners. Boundary and co-boundary relations, as well as adjacency relations between the cells, can easily be captured by the coordinate values. Thus, this coordinate system is apt for implementation in various applications, such as visualizations, morphological and topological operations and shape analysis.
Improved ligand geometries in crystallographic refinement usingAFITTinPHENIX
Authors: Janowski Pawel A. , Moriarty Nigel W. , Kelley Brian P. , Case David A. , York Darrin M. , Adams Paul D. , Warren Gregory L.
Published: August 2016

Modern crystal structure refinement programs rely on geometry restraints to overcome the challenge of a low data-to-parameter ratio. While the classical Engh and Huber restraints work well for standard amino-acid residues, the chemical complexity of small-molecule ligands presents a particular challenge. Most current approaches either limit ligand restraints to those that can be readily described in the Crystallographic Information File (CIF) format, thus sacrificing chemical flexibility and energetic accuracy, or they employ protocols that substantially lengthen the refinement time, potentially hindering rapid automated refinement workflows.PHENIX–AFITTrefinement uses a full molecular-mechanics force field for user-selected small-molecule ligands during refinement, eliminating the potentially difficult problem of finding or generating high-quality geometry restraints. It is fully integrated with a standard refinement protocol and requires practically no additional steps from the user, making it ideal for high-throughput workflows.PHENIX–AFITTrefinements also handle multiple ligands in a single model, alternate conformations and covalently bound ligands. Here, the results of combiningAFITTand thePHENIXsoftware suite on a data set of 189 protein–ligand PDB structures are presented. Refinements usingPHENIX–AFITTsignificantly reduce ligand conformational energy and lead to improved geometries without detriment to the fit to the experimental data. For the data presented,PHENIX–AFITTrefinements result in more chemically accurate models for small-molecule ligands.
Structural studies of a cold-adapted dimeric β-D-galactosidase fromParacoccussp. 32d
Authors: Rutkiewicz-Krotewicz Maria , Pietrzyk-Brzezinska Agnieszka J. , Sekula Bartosz , Cieśliński Hubert , Wierzbicka-Woś Anna , Kur Józef , Bujacz Anna
Published: August 2016

The crystal structure of a novel dimeric β-D-galactosidase fromParacoccussp. 32d (ParβDG) was solved in space groupP212121at a resolution of 2.4 Å by molecular replacement with multiple models using theBALBESsoftware. This enzyme belongs to glycoside hydrolase family 2 (GH2), similar to the tetrameric and hexameric β-D-galactosidases fromEscherichia coliandArthrobactersp. C2-2, respectively. It is the second known structure of a cold-active GH2 β-galactosidase, and the first in the form of a functional dimer, which is also present in the asymmetric unit. Cold-adapted β-D-galactosidases have been the focus of extensive research owing to their utility in a variety of industrial technologies. One of their most appealing applications is in the hydrolysis of lactose, which not only results in the production of lactose-free dairy, but also eliminates the `sandy effect' and increases the sweetness of the product, thus enhancing its quality. The determined crystal structure represents the five-domain architecture of the enzyme, with its active site located in close vicinity to the dimer interface. To identify the amino-acid residues involved in the catalytic reaction and to obtain a better understanding of the mechanism of action of this atypical β-D-galactosidase, the crystal structure in complex with galactose (ParβDG–Gal) was also determined. The catalytic site of the enzyme is created by amino-acid residues from the central domain 3 and from domain 4 of an adjacent monomer. The crystal structure of this dimeric β-D-galactosidase reveals significant differences in comparison to other β-galactosidases. The largest difference is in the fifth domain, named Bgal_windup domain 5 inParβDG, which contributes to stabilization of the functional dimer. The location of this domain 5, which is unique in size and structure, may be one of the factors responsible for the creation of a functional dimer and cold-adaptation of this enzyme.
Customer-based brand equity and human resource management image
Authors: Anselmsson Johan , Bondesson Niklas , Melin Frans
Published: August 2016

Purpose

The purpose of this study is to investigate the relationship between an organization’s human resource management (HRM) image and its customer-based brand equity. Research into HRM in relation to branding has mostly dealt with how to attract and maintain employees through employer branding. The present study attempts to link HRM directly to marketing and branding aimed at customers as an altruistic dimension of the brand image and as something that applies to customers’ sociological needs.

Design/methodology/approach

The study is based on a survey of Swedish customers in two different retail categories: groceries and home decoration.

Findings

The results show that HRM image is distinct from a more traditional service image and that there is a significant relationship between favourable customer perceptions of an organization’s HRM and customers’ willingness to buy and pay a premium for products provided by the retail chain. This finding leads to the conclusion that HRM is not only relevant for employer branding, internal branding and operations management but also plays a significant role in building customer-based brand equity. The results show that further integration of HRM and brand management is needed, both in theory and practice.

Originality/value

This study takes a holistic approach to marketing and is one of the first attempts to incorporate HRM and employer branding into the customer-based brand equity framework. Implications for future research, retailing and other businesses are discussed in the conclusion.
Retaining the primetime television audience
Authors: Jardine Bryony , Romaniuk Jenni , Dawes John G. , Beal Virginia
Published: August 2016

Purpose

This paper aims to investigate factors associated with higher or lower television audience retention from one programme aired sequentially after another, referred to as lead-in audience retention. Lead-in is a primary determinant of television programme audience size.

Design/methodology/approach

The study models a series of factors linked to lead-in audience retention, such as rating of the second programme, genre match and competitor options. The hypothesised relationships are tested across over 1,000 pairs of programmes aired in the UK and Australia, using multivariate linear regression models.

Findings

The study finds the factors consistently related to significantly higher lead-in audience retention are the rating of the second programme in the pair and news genre match in programming. Factors consistently linked to lower audience retention include the rating of the initial programme and the number of competitor options starting at the same time as the second programme.

Practical implications

The findings help television networks understand drivers of lead-in audience retention. Knowledge that can be used to inform the design of tailored marketing plans for programmes based on schedule, timing and adjacent programming. Further, the findings help advertisers and media buyers with scheduling television advertising to achieve reach or frequency objectives.

Originality/value

No previous studies have comprehensively combined all four factors driving lead-in audience retention into a single model. The testing across multiple markets adds to the robustness of the findings. In particular, the discoveries about the impact of competitor network activities and genre build considerably on past research.
Recapturing place identification through community heritage marketing
Authors: Alexander Matthew , Hamilton Kathy
Published: August 2016

Purpose

The purpose of this paper is to explore how community involvement can support the authors who are guided by the following research questions: how do community residents contribute to heritage marketing strategies that represent their local area? How does community involvement in heritage marketing encourage place identification? How can organisations facilitate community participation in heritage marketing?

Design/methodology/approach

The authors draw on an ethnographic study of the adopted railway stations in Scotland. They use in-depth interviews and participant observation alongside visual and archival data.

Findings

The authors present and discuss three themes: community involvement in heritage activities, community heritage marketing and place identification, facilitating community participation through Adopt a Station.

Research limitations/implications

Initiatives that empower residents should be prioritised to capitalise on their latent knowledge, skills and expertise. The authors suggest that bringing heritage outside the museum space into key places used by local residents will support the increased accessibility of heritage.

Originality/value

While there are often strong arguments in favour of local community involvement in place marketing, it is much less common to find successful reports of this working in practice. Research either questions the capabilities of local residents to make meaningful contributions or hints at a tokenistic form of involvement. The authors contribute by offering insights into successful heritage-based community activity. Unlike previous research which focuses on the economic impact of place marketing, this paper focuses on place identification for local residents. The authors also observe how offering a sense of ownership and freedom allows community management of the heritage message to flourish.
Are two arguments always better than one?
Authors: Kim Jungkeun , Kim Jae-Eun , Marshall Roger
Published: August 2016

Purpose

This research aims to examine the moderating role of consumers’ persuasion knowledge (PK) on the persuasive effect of combined advertising and publicity within the same medium. The synergistic effect experienced when two messages are thus combined is reversed for readers with high PK who are first exposed to publicity then to advertising. Believability of the message is found to be a mediator within this context.

Design/methodology/approach

Based on a review of the appropriate literatures on PK and integrated marketing communication (IMC), this paper tests the hypotheses using two experimental studies.

Findings

The results of two experiments show that publicity-then-advertising yields poorer persuasion than advertising-then-publicity, especially under a high PK condition. The reduced synergistic effect of combinations of advertising and publicity is found especially when consumers activate temporary PK and/or when they have chronically high PK. A mediator for a decrease in the synergistic effect of combinations of advertising and publicity, believability, is examined.

Practical implications

This study contains significant managerial implications for marketing communicators about how to most effectively combine and coordinate publicity and advertising in the implementation of an IMC strategy.

Originality/value

Other than making a contribution to the IMCs’ literature, this research extends understanding of the power of PK within an IMC framework. The research contributes yet another extension to the original PK model of Friestad and Wright (1994) by suggesting an underlying theoretical mechanism to explain how PK works in the IMC domain.
Thinking styles affect reactions to brand crisis apologies
Authors: Wang Liangyan , Wang Shijian , Keller L. Robin , Li Jie
Published: August 2016

Purpose

This article aims to examine how a person’s thinking style, specifically holistic versus analytic, and a firm’s crisis apology with the remedial solution framed in “why” (vs “how”) terms can interactively impact consumers’ perceived efficacy of the firm to respond to the crisis and their impression or evaluation of the brand.

Design/methodology/approach

Hypotheses were tested through three experimental studies involving 308 participants recruited in China. Participants answered survey questions investigating the interactive effects from consumers’ thinking style (culture as a proxy in Study 1, measured in Study 2 or primed in Study 3) and a brand’s crisis apology with the remedial solution framed in “why” (vs “how”) terms on consumers’ perceived efficacy and evaluation of the firm.

Findings

The frame of the remedial solution resulting in a higher evaluation improvement depended on a consumer’s thinking style. For holistic thinkers, a “why” (vs “how”) framed remedial solution resulted in a higher evaluation improvement; however, for analytic thinkers, a “how” (vs “why”) framed remedial solution resulted in a higher evaluation improvement. Additionally, the results showed that a consumer’s perceived efficacy of the brand being able to successfully respond to the crisis mediated the interactive effects of the remedial solution framing and thinking styles on the evaluation improvement.

Practical Implications

The findings provide evidence that framing of the remedial solution can be leveraged as a tool to reduce negative impact resulting from a brand crisis. Specifically, the results suggest that companies may do well to employ a “why” framed remedial solution, particularly in cases where consumers are likely to process information holistically. Conversely, a “how” framed remedial solution may be effective in situations where consumers are likely to process information analytically.

Originality/value

This research contributes to the literature, being among the first to consider how the remedial solution framing in a firm’s apology can enhance people’s evaluation of the brand and decrease the perceived negative impact resulting from the brand crisis.
Consumer motivations for mainstream “ethical” consumption
Authors: Davies Iain Andrew , Gutsche Sabrina
Published: August 2016

Purpose

This paper aims to explore why consumers absorb ethical habits into their daily consumption, despite having little interest or understanding of the ethics they are buying into, by looking at the motivation behind mainstream ethical consumption.

Design/methodology/approach

Fifty in-depth field interviews at point of purchase capture actual ethical consumption behavior, tied with a progressive-laddering interview technique yields over 400 consumption units of analysis.

Findings

Ethical attitudes, values and rational information processing have limited veracity for mainstream ethical consumption. Habit and constrained choice, as well as self-gratification, peer influence and an interpretivist understanding of what ethics are being purchased provide the primary drivers for consumption.

Research limitations/implications

Use of qualitative sampling and analysis limits the generalizability of this paper. However, the quantitative representation of data demonstrates the strength with which motivations were perceived to influence consumption choice.

Practical implications

Ethical brands which focus on explicit altruistic ethical messaging at the expense of hedonistic messaging, or ambiguous pseudo ethics-as-quality messaging, limit their appeal to mainstream consumers. Retailers, however, benefit from the halo effect of ethical brands in store.

Social implications

The paper highlights the importance of retailer engagement with ethical products as a precursor to normalizing ethical consumption, and the importance of normative messaging in changing habits.

Originality/value

The paper provides original robust critique of the current field of ethical consumption and an insight into new theoretical themes of urgent general interest to the field.
A development of the dimensions of personal reputation in organizations
Authors: Zinko Robert , Gentry William A. , Laird Mary Dana
Published: August 2016

Purpose

The current, established scale used to measure personal reputation treats the construct as a unidimensional measure. For example, the scale fails to distinguish between individuals who are known for being socially popular versus those who are known for being experts in their field. This study aims to address this issue by developing a multidimensional personal reputation scale.

Design/methodology/approach

Based on existing theory, a scale is developed and validated against existing, similar constructs. First, a panel of three academic experts who have done research on personal reputation, and also two professional experts who have rich experience in the management field, evaluated the items for face validity. Then 112 working adults were asked to rate the reputation of a co-worker. Each dimension of personal reputation was validated against an existing, similar scale (e.g. social reputation was validated against an existing “popularity” scale).

Findings

A multi-dimensional, personal reputation scale is presented. This measure purports that personal reputation has three dimensions: task, social and integrity.

Originality/value

The presented scale allows researchers to distinguish different types of reputations in the workplace. This is significant because both anecdotal evidence and empirical findings suggest that to simply assume that reputation based upon being a person of high integrity and upon being an expert at a specific task will present the same outcomes is a fallacy. To further the knowledge of personal reputation, a need exists to be able to measure the different dimensions of reputation.
Job characteristics model (JCM): utility and impact on working professionals in the UAE
Authors: Singh Abhilasha , Singh Sanjay Kumar , Khan Saleena
Published: August 2016

Purpose

This study aimed to see the impact of various dimensions of the job characteristic model (JCM) through the motivating potential scores (MPSs) on professionals residing in the UAE.

Design/methodology/approach

A sample of 60 professionals, aged from 20 to 45 years were randomly selected from different organizations in UAE. They were administered an online questionnaire to explore their perceptions on job characteristics as per the JCM. Analysis of results was done by factor analysis using SPSS.

Findings

Results reveal the impact of increasing age on high MPSs, higher MPSs of white-collared jobs than the blue-collared jobs, owing to high skill variety in white-collar jobs. It was also noticed that women scored higher on MPSs than men, and the men of Indian origin showed high motivation as compared to their counterparts from other countries.

Research limitations/implications

Based on the study conducted, it can be concluded that JCM used for calculating MPS gives an insight into the motivational levels of an employee and the cause for the same. Plotting the scores of JCM characteristics with respect to variables such as age, gender, type of job and country of residence gives a fair idea of motivation and its dependence on these variables.

Originality/value

The findings of this study have significant implications for developing and sustaining a motivated workforce in the organizations in the UAE. A critical analysis of the data gives many areas where the company can focus to increase the motivation level of its employees.
Guiding metaphors for knowledge-intensive firms
Authors: P. Arunprasad
Published: August 2016

Purpose

The purpose of this paper is to conceptualize and empirically test the impact of strategic human resource management (HRM) practices on learning outcomes and also to examine whether this relationship is contingent on knowledge strategy in a sample of knowledge-intensive firms like software companies in India.

Design/methodology/approach

Data were collected through a questionnaire, and the software companies were chosen based on the listing in the NASSCOM annual report. A total of 32 companies participated in this research study, and the survey was conducted in two phases.

Findings

The universalistic approach revealed that organizational learning outcomes can be enhanced by focusing on specific individual HRM practices. Also, the fit between HRM practices and knowledge strategy revealed that the interaction effect between individual and knowledge strategy have had an increased impact on the learning outcomes.

Practical implications

HRM practices can be aligned to the targeted knowledge strategy of the organization and maximize specific organizational learning outcome to achieve sustained competitive advantage. Knowledge-intensive firms can measure their knowledge strategy and gauge whether it is complemented with HRM practices for better tangible and intangible outcomes.

Originality/value

The proposed model can benefit the firms to analyse the extent of contribution of HRM practices towards the organizational learning process. It also helps to understand how an organization can be productive by focusing on specific learning outcomes and establishing a tighter link between the select individual HRM practices and the defined knowledge strategy.
The fuzziness of mindsets
Authors: French II Robert P.
Published: August 2016

Purpose

The purpose of this paper is to explore conceptualizations of mindset across disciplines with particular attention to scholars’ care in defining and operationalizing the construct of mindset. Theories of mindset have witnessed increased attention through a variety of disciplines for their applicability as processes with the potential to influence individual and/or organizational outcomes. Exploration of mindset conceptualizations and characterizations reveal substantial divergences.

Design/methodology/approach

This conceptual paper generally examines the utilization of mindset constructs via a multidisciplinary review of literature and specifically details three mindset theories (implemental and deliberative, global and growth and fixed mindsets) to illuminate such disparities.

Findings

This paper categorizes the significant variations of the mindset construct and research via three distinct streams. Each stream highlights knowledge as instrumental in the mindset construct; however, the ways in which varying aspects of knowledge, knowledge mechanisms or knowledge as a component of an individuals and/or organization’s identity correspond to the inherent presuppositions of varying articulations of mindset theory and praxis.

Practical implications

Effectively influencing an individual and/or organization’s mindset necessitates an accurate assessment of the mindset construct. Further, evaluating the applicability of mindset research and/or feedback from a consultant warrants attention to the assumptions undergirding the mindset construct.

Originality/value

Generally, mindset studies and theories have scantly attended to both the historical development of mindset research as well as divergences in the research record within and across disciplines. This paper attempts to address this deficiency. Further, this paper appears to be the first attempt to compare and identify varying conceptualizations and characterizations of mindset theory and, therefore, identifies previously unidentified assumptions.