bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dual signaling of Wamide myoinhibitory peptides through a peptide-gated channel and a GPCR in Platynereis
Authors: Schmidt Axel , Bauknecht Philipp , Williams Elizabeth A. , Augustinowski Katrin , Gründer Stefan , Jékely Gáspár 
Published: February 2018

AbstractNeuropeptides commonly signal by metabotropic G-protein coupled receptors (GPCRs). In some mollusks and cnidarians, RFamide neuropeptides mediate fast ionotropic signaling by peptide-gated ion channels that belong to the DEG/ENaC family. Here we describe a neuropeptide system with a dual mode of signaling by both a peptide-gated channel and a GPCR. We identified and characterised a peptide-gated channel in the marine annelid Platynereis dumerilii that is specifically activated by Wamide myoinhibitory peptides derived from the same proneuropeptide. The myoinhibitory peptide-gated ion channel (MGIC) belongs to the DEG/ENaC family and is paralogous to RFamide-gated channels. Platynereis myoinhibitory peptides also activate a previously described GPCR, MAG. We measured the potency of all Wamides on both MGIC and MAG and identified peptides that preferentially activate one or the other receptor. Analysis of a single-cell transcriptome resource indicates that MGIC and MAG signal to distinct target neurons. The identification of a Wamide-gated channel suggests that peptide-gated channels are more diverse and widespread in animals than previously appreciated. The possibility of neuropeptide signaling by both ionotropic and metabotropic receptors to different target cells in the same organism highlights an additional level of complexity in peptidergic signaling networks.
Emissions and production penalties/bonuses associated with non-standard earthmoving loading policies
Authors: Carmichael David G. , Mustaffa Nur Kamaliah 
Published: February 2018

Purpose
The performance of earthmoving operations, in terms of emissions, production and cost, is dependent on many variables and has been the study of a number of publications. Such publications look at typical operation design and management, without establishing what the penalties or bonuses might be for non-standard, but still observed, practices. To fill this gap in knowledge, this paper examines alternative loading policies of zero waiting-time loading, fractional loading and double-sided loading, and compares the performance of these with standard single-sided loading.

Design/methodology/approach
Original recursive relationships, that are amenable to Monte Carlo simulation, are derived. Case study data are used to illustrate the emissions, production and cost penalties or bonuses.

Findings
Double-sided loading contributes the least impact to the environment and is the most cost effective. Zero waiting-time loading performs the worst in terms of environmental impact and cost. Minimizing truck waiting times through using fractional loading is generally not an attractive policy because it leads to an increase in unit emissions and unit costs. The consequences of adopting fractional loading are detailed. Optimum unit emissions and optimum unit cost are coincident with respect to fleet size for single- and double-sided loading policies. That is, by minimizing unit cost, as in traditional practice, then least impact on the environment is obtained. Not minimizing unit cost will lead to unnecessary emissions.

Practical implications
The results of this paper will be of interest to those designing and managing earthmoving operations.

Originality/value
All modeling and results presented in the paper do not exist elsewhere in the literature.
Co-producing and re-connecting: a pilot study of recovery community engagement
Authors: Edwards Michael , Soutar Josie , Best David 
Published: February 2018

Purpose
The purpose of this paper is to discuss the design and methodology of the REC-CONNECT project and to determine whether a co-produced approach to research in this area between those with lived experience, those delivering recovery support, and those investigating recovery evidence, generated greater project impact.

Design/methodology/approach
A co-productive approach was taken during project planning, training delivery, data collection and community connecting activity. Workshop evaluations were collected at each training session that provided data on worker/peer volunteer wellbeing, workshop efficacy and organisational factors. Community connectors used REC-CAP for evaluating improvements in clients’ community engagement.

Findings
Whilst co-production as a research approach broke down barriers between theory and practice and delivered a wider community asset map, a number of hurdles emerged: buy-in of all participants; culture/competing agendas; overcoming sense of disenfranchisement of people in recovery; and resources, tools and timescales of research requirements.

Research limitations/implications
This is a small study in Sheffield. As such, data are limited. However, the implications spread to other vulnerable groups in other areas are evidenced, and the principles offer sustainability and partnership that go beyond time-limited projects.

Social implications
Co-production as an approach to research in the substance misuse field has a meaningful impact on the “end-user” of people in recovery through empowerment, better connected recovery pathways and evidence-to-practice-based support models.

Originality/value
The project advanced the emerging principle of reciprocal asset-based community development and designed a co-produced model to create a team of professional, volunteer and peer community connectors to engage and connect new individuals to recovery with existing community assets, and who themselves emerged as a community asset through the project.
Dynamic marketing capabilities view on creating market change
Authors: Kachouie Reza , Mavondo Felix , Sands Sean 
Published: February 2018

PurposeThe purpose of this paper is to examine the indirect relationship between dynamic capabilities (DCs) and organizational outcomes through matching and creating market change. In addition, the research aims to gain a deeper understanding of the role of marketing in DCs and to extend beyond a simplistic discussion of DCs by studying proactive market orientation and value innovation as specific DCs.Design/methodology/approachA questionnaire was developed and data were collected from 270 senior executives. After ensuring reliability and validity, the hypotheses were examined by applying structural equation modeling and Monte Carlo simulation.FindingsThe findings indicate that dynamic marketing capabilities (DMCs) are critical in the reconfiguration of operational marketing capabilities, which in turn lead to enhanced organizational performance. The results also suggest that organizations with enhanced DMCs are able to initiate market disruption and achieve superior performance by out-competing their rivals.Practical implicationsThe research provides guidelines for managers wanting to exploit their DMCs by showing that organizations can match the environment, create market turbulence or combine both strategies to fully exploit their DMCs. This study also provides managers with actionable tools that are specific, robust and easily applied.Originality/valueThis study is one of the few to incorporate induced market turbulence into the DC literature and conceptualize, develop and validate scales to measure it. The study provides empirical evidence for the claim that operational marketing capabilities are necessary to utilize the benefits of DMCs.
Market reaction to the transitory effects of IFRS: an examination of disaggregated measures
Authors: Hilliard Theresa , Neidermeyer Presha 
Published: February 2018

PurposeThis study examines how International Financial Reporting Standards (IFRS) are applied, disaggregates the cumulative effect of the IFRS transition into magnitude measurements of the standard-to-standard differences (by standard) and management discretionary choices (by choice) and tests which transitory effects at every level of disaggregation alter investor behavior.Design/methodology/approachUsing hand-collected data from the IFRS 1 disclosures, the research design consists of eight regression models which test fluctuations in investment behavior as a function of varying measures of IFRS adjustments at aggregated and disaggregated levels including magnitude measurements of pronouncements and management choices.FindingsFindings from the study identify specific standards and management discretionary choices associated with market reaction. Evidence from this study demonstrates the value of disaggregated measures to obtain a more comprehensive understanding of market reaction and associations with transitory effects of IFRS. Findings from the study suggest that the market favors management discretionary choices that decrease retained earnings and potentially increase future net income. Overall, model results suggest that a more comprehensive understanding of the specific standards is obtained that alters market behavior and how the market responds to positive and negative equity adjustments.Originality/valueThis study contributes to the literature examining the capital market effects of IFRS by decomposing the generally accepted accounting principle (GAAP) transition into magnitude measurements of specific standard-to-standard differences (by standard) and management discretionary choices (by choice) to understand how the market responds to the transitory effects of a GAAP change. This is important because it puts regulators, standard setters, investors and researchers on notice that the way in which the authors analyze and measure equity components could be consequential to the authors ability to assess a GAAP change. This study informs all jurisdictions which have adopted or are deliberating the adoption of IFRS how IFRS is being implemented and which areas of application are relevant to investors. Further, market reactions to accounting information pertaining to a GAAP change may only be revealed at the disaggregated and decomposed levels of the retrospective application of the GAAP implementation.
Intellectual capital and firm performance
Authors: Hamdan Allam 
Published: February 2018

Purpose
This study sheds light on the relation between intellectual capital and firm performance. The study argues that traditional performance measurement based on accounting is still able to explore the relation between intellectual capital and performance.

Design/methodology/approach
The study was conducted at 198 firms from two Gulf Cooperation Council countries: Kingdom of Saudi Arabia and Kingdom of Bahrain for the period 2014–2016. To measure intellectual capital, the value added intellectual coefficient model was adopted along with two measures of performance: accounting-based performance which is return on assets and market-based performance which is Tobin’s Q, in addition to the Random-Effects Regression.

Findings
Study findings came up with evidences that support the relationship between intellectual capital and accounting-based performance, but negates any relation between intellectual capital and market-based performance. The findings also revealed different results, between Saudi Arabia’s and those of Bahrain.

Originality/value
The study contributes to the debate on the validity of relating intellectual capital to the traditional accounting-based performance.
H2020 – RentalCal – European rental housing framework for the profitability calculation of energy efficiency retrofitting investments
Authors: Zeitler Joseph-Alexander 
Published: February 2018

Purpose
Most of the European apartment blocks are rental units of which the majority needs major refurbishments in upcoming years to achieve climate goals. On the other hand, it is still difficult for property owners to evaluate the profitability of energetic retrofitting investments. The purpose of this paper is to contribute to the situation by forming a standardized framework and tool to calculate profitability of energy efficiency investments throughout Europe.

Design/methodology/approach
From a European perspective, several different areas of interest (technical, legal, institutional and financial) have been screened to develop an extensive compendium. This has been performed by literature research and several national surveys. Based on these findings, an online-based tool for profitability calculation has been developed to support the decision-making process of each individual, regardless his knowledge on energy efficiency.

Findings
This paper provides a short overview on main investment barriers in Germany. It is found that both market conditions and information deficits harm energy efficiency investments. Frequently, the decision-making process is found difficult due to inflexible regulations and lack of knowledge. This dramatically reduces market incentives that are already in place. Most often, the investor user dilemma is seen as the main investment obstacle. In this context, transparency and reliability are found to trigger energy-efficient investments.

Practical implications
Findings are used to identify best practice examples and to assess their transferability to other markets and countries. Innovative solutions have been extracted to improve the overall investment climate.

Originality/value
The paper contributes to a sound foundation for energy-related investments and the fulfillment of EU reduction targets.
Beyond chemistry: the role of employee emotional competence in personalized services
Authors: Matute Jorge , Palau-Saumell Ramon , Viglia Giampaolo 
Published: February 2018

PurposeThis paper aims to investigate how employees’ emotional competences affect customers’ responses in the context of emotional-driven and personalized services. Specifically, it proposes a model to analyze the influence of employees’ emotional competence on rapport, trust and loyalty toward the service employee and the company.Design/methodology/approachThe empirical context to validate the proposed theory is the fitness realm. The sample comprises 296 clients from fitness personal training services. Data collection was carried out by means of personal surveys in three relevant fitness clubs in the city of Barcelona (Spain). The study uses partial least squares to test and validate the proposed theoretical model.FindingsEmployee emotional competence (EEC) directly affects personal loyalty, trust toward the service employee and rapport. However, higher levels of emotional skills are not significantly associated with loyalty toward the company. The results also suggest that trust significantly enhances loyalty. Interestingly, high levels of rapport between the service worker and the employee could even damage the level of loyalty toward the company.Originality/valuePrior research documents that emotional intelligence enhances diverse positive customer outcomes, especially in emotionally charged interactions. Nonetheless, few studies have focused on analyzing how customers’ perceptions about services employees’ emotional skills are determining their attitudes and behavioral intentions. This study provides evidence on employee’s influences on consumer behaviors and outcomes, with a specific focus on EEC. It also sheds light on the unintuitive impact of customer employee rapport on loyalty toward the company.
Customer journeys: a systematic literature review
Authors: Følstad Asbjørn , Kvale Knut 
Published: February 2018

Purpose
Customer journeys have become an increasingly important topic in service management and design. The purpose of this paper is to review customer journey terminology and approaches within the research literature prior to 2013, mainly from the fields of design, management, and marketing.

Design/methodology/approach
The study was conducted as a systematic literature review. Searches in Google Scholar, Scopus, Web of Knowledge, ACM Digital Library, and ScienceDirect identified 45 papers for the analysis. The papers were analyzed with respect to customer journey terminology and approaches, the relation to customer experience, the referenced background, and the use of visualizations.

Findings
Across the reviewed literature, customer journeys are described not only as a means to take the viewpoint of the customer, but also to reach insight into their experiences. A rich and at times incoherent customer journey terminology is analyzed and discussed, as are two emerging customer journey approaches: customer journey mapping (analysis of a service process “as is”) and customer journey proposition (generative activities leading toward a possible service “to be”).

Research limitations/implications
The review is limited to analyzing and making claims on research papers that explicitly apply the term customer journey. In most of the reviewed papers, customer journeys are not the main object of interest but are discussed as one of several topics.

Practical implications
A nuanced discussion of customer journey terminology and approaches is provided, supporting the practical application of a customer journey perspective.

Originality/value
The review contributes a needed common basis for future customer journey research and practice.
A credit rating model based on a customer number bell-shaped distribution
Authors: Zhang Yajing , Chi Guotai 
Published: February 2018

Purpose
The purpose of this paper is to split loan customers to different credit ratings to ensure the results that show that customers with lower credit ratings have higher loss rates, and the number of customers that satisfies the bell-shaped distribution. Hence, the number of credit ratings, the distribution of the rated obligors among ratings can achieve a meaningful differentiation of risk, which can avoid the loan pricing confusion.

Design/methodology/approach
The authors introduce a multi-objective programming to establish the credit rating model. Objective function 1 minimizes the absolute difference between the obligor number proportion and perfect client proportion, following a standard normal distribution. Objective function 2 minimizes the total difference of the deviation between two adjacent credit ratings’ loss rates. This study combines the two objective functions to ensure the obligor number distribution and the monotonicity of the loss rate, and applies genetic algorithm to solve the model.

Findings
This study’s analysis is based on data from 6,155 enterprises, provided by a Chinese bank and Prosper P2P loan data. The empirical results reveal that the proposed approach can ensure the balance between both criteria and avoid undue concentration of obligors in particular grades.

Originality/value
The proposed credit model could help building a reasonable credit rating system, which is the prerequisite of loan pricing; thus, inaccurate credit rating can cause incorrect loss rate estimates and loan pricing.
CEO turnover and the new leader propensity to open innovation
Authors: Biscotti Anna Maria , Mafrolla Elisabetta , Giudice Manlio Del , D’Amico Eugenio 
Published: February 2018

PurposeIn an increasingly turbulent and competitive environment, open innovation could be critical for a firm’s success, favoring organizational flexibility and accelerating innovation processes. However, sharing innovation projects with external partners often requires changes in traditional organizational behavior and visions of CEOs. The purpose of this paper is to theorize and empirically verify how the CEO turnover and some socially relevant characteristics of the old and the new CEO may impact firms’ propensity toward open innovation under an integrated agency-resource dependence view and social identity perspective.Design/methodology/approachThe empirical analysis was carried out on 264 companies drawn from 16 developed European markets included in the S&P Europe 350 Dow Jones index over the years 2006-2015. To test the predictions, the authors adopted regression analysis by employing the panel two-stages least squares model and the ordinary least squares econometric model.FindingsConsistently with the predictions, the authors found that CEO turnover stimulates open innovation. Particularly, the results suggest that the organizational identity rationale may motivate a divergent propensity between insider and outsider new CEOs, with outsiders more prone to open innovation. The higher tendency of new outsider CEOs to undertake innovation projects jointly with external organizations prevails also within firms that experienced a long tenure of the former CEO, thereby suggesting that a new outsider CEO appears able to renovate corporate strategic directions also in highly orthodox organizational cultures.Originality/valueTo the best of the authors’ knowledge, this is the first study that theorizes why CEO turnover might impact the propensity of the firm toward open innovation. The authors use an integrated agency-resource dependence perspective, and the results from the empirical analysis mostly support the predictions. Moreover, the authors adopt the social identity theory to show that the organizational identification of the CEO matters in the decision of engaging in open innovation.
A multidisciplinary approach for assessing open innovation model impact on stock return dynamics
Authors: Ballestra Luca Vincenzo , Fontana Stefano , Scuotto Veronica , Solimene Silvia 
Published: February 2018

Purpose
The purpose of this paper is to propose a new statistical approach to evaluate complex open innovation projects on a quantitative basis. In certain circumstances, open innovation entails a radical change of policy that involves various different functions of a company such as R&D, production, and management over a period of years and gives rise to mechanisms of mutual interaction with several business partners, such as collaboration with other companies, universities and R&D institutions, and new suppliers. Then, the question arises of how to measure the impact of such complex open innovation processes on the overall performances of companies.

Design/methodology/approach
A holistic case study is applied to analyze the effect of open innovation projects on a corporate company’s stock price dynamics. The scope is to identify two different scenarios pre- and post-adoption of an open innovation model by a multinational company, Fujifilm. In particular, a stochastic model, namely the log-normal model, is applied along with three statistical tests: Kolmogorov-Smirnov, Cramer von Mises, and F-test for equal variances, in order to verify if the adoption of an open innovation model causes any significant change in the stock price dynamics of the corporate company.

Findings
From the findings emerges evidence that open innovation projects have a moderate effect on Fujifilm’s stock price dynamics, but a greater improvement of the perception of Fujifilm’s stock value. This enhances the management and financial literature review by offering a novel, empirical perspective on the effect of the adoption of an open innovation model on a corporate company’s stock price dynamics.

Research limitations/implications
This research is limited to a single case study, but it can be extended to other stock market companies and therefore improve on the present study.

Originality/value
An original application of Kolmogorov-Smirnov tests to detect and measure the differences between the two regimes of pre-open innovation and post-innovation regimes.