bluuebunny/crossref_metadata_2025_split huggingface dataset:
Counting heads vs making heads count
Authors: Vargas Emily , Westmoreland Amy Seon , Robotham Kathrina , Lee Fiona 
Published: October 2018

PurposeResearch on organizational diversity initiatives generally focus on either numerical diversity or racial climate. Both facets of diversity are critical, however, research has rarely examined their impact simultaneously. The paper aims to discuss these issues.Design/methodology/approachIn the current study, the authors use the context of higher education, to examine how variations in the composite of numerical diversity and racial climate predict psychological disparities between faculty of color (FOC) and White faculty. The authors test how institutions that engage in authentic diversity (i.e. institutions that are both numerically diverse and have a positive racial climate) compare to other diversity composites.FindingsUsing a data set ofn=37,406 faculty members in US colleges/universities, this study found that racial disparities between FOC and White faculty for various psychological outcomes are smaller in authentic diversity institutions compared to institutions with low numeric diversity/ poor racial climate. Further, the data demonstrate that authentic diversity institutions have reduced psychological disparities compared to institutions with high numeric diversity/poor racial climate, but have similar disparities to institutions with low numeric/positive racial climate.Originality/valueThese results suggest that diversity climate may be the primary driver of mitigating psychological disparities between FOC and White faculty. However, it is necessary for institutions to authentically engage in diversity – by promoting both entities – to become more effective in reducing disparities.
Can workplaces foster an openness to diversity surreptitiously?
Authors: Moss Simon Andrew , Ennis Gretchen , Zander Kerstin Z. , Bartram Timothy , Hedley Darren 
Published: October 2018

PurposeTo enhance their innovation and reputation, many organizations introduce programs that are intended to attract, retain and support diverse communities. Yet, these programs are often unsuccessful, partly because explicit references to diversity tend to evoke defensive reactions in employees from the dominant culture. To circumvent this problem, the purpose of this paper is to explore the hypothesis that individuals tend to be more receptive to diversity whenever they experience meaning in life. Furthermore, four workplace characteristics – informational justice, a manageable workload, equality in status and a compelling vision of the future – should foster this meaning in life.Design/methodology/approachTo assess these possibilities, 177 employees completed a survey that assessed workplace practices, meaning in life and openness to diversity.FindingsThe results showed that informational justice, a manageable workload and a compelling vision were positively associated with openness to other cultures, constituencies and perspectives, and these relationships were partly or wholly mediated by meaning in life.Originality/valueThese findings imply that leaders might be able to foster an openness to diversity, but without explicit references to this diversity, circumventing the likelihood of defensive reactions. Specifically, a program that simultaneously encourages transparent communication, diminishes workload and clarifies the vision or aspirations of the future may represent an inexpensive but powerful means to foster an openness to diversity.
An optimal homotopy asymptotic method applied to the nonlinear thin film flow problems
Authors: Manafian Jalil , Teymuri sindi Cevat 
Published: October 2018

Purpose
This paper aims to discuss the approximate solution of the nonlinear thin film flow problems. A new analytic approximate technique for addressing nonlinear problems, namely, the optimal homotopy asymptotic method (OHAM), is proposed and used in an application to the nonlinear thin film flow problems.

Design/methodology/approach
This approach does not depend upon any small/large parameters. This method provides a convenient way to control the convergence of approximation series and to adjust convergence regions when necessary.

Findings
The obtained solutions show that the OHAM is more effective, simpler and easier than other methods. The results reveal that the method is explicit. By applying the method to nonlinear thin film flow problems, it was found to be simpler in applicability, and more convenient to control convergence. Therefore, the method shows its validity and great potential for the solution of nonlinear problems in science and engineering.

Originality/value
The proposed method is tested upon nonlinear thin film flow equation from the literature and the results are compared with the available approximate solutions including Adomian decomposition method (ADM), homotopy perturbation method, modified homotopy perturbation method and HAM. Moreover, the exact solution is compared with the available numerical solutions. The graphical representation of the solution is given by Maple and is physically interpreted.
Beyond gambling: mediating roles of brand experience and attitude
Authors: Ahn Jiseon , Back Ki-Joon 
Published: October 2018

Purpose
The purpose of this paper is to explore the effect of customers’ perception of the integrated resort by focusing on brand-related variables, namely, brand reputation, brand experience, brand attitude, and behavioral intention. Integrated resorts have become popular in the tourism industry. However, despite the popularity of integrated resorts, little is known about how the integrated resort brand contributes to customer attitude.

Design/methodology/approach
A descriptive online survey was carried out with customers who had experience using the integrated resort. This study used the regression analysis and process macro to test hypothesized relationships among variables.

Findings
These results demonstrate that brand reputation increases customers’ perception of brand experience and brand attitude; brand experience, brand attitude and brand reputation affect behavioral intention toward the integrated resort brand; and brand experience and attitude plays a fully mediating role in the relationship between brand reputation and behavioral intention. These results suggest that customers’ perception associated with the integrated resort brand name is likely to generate a favorable experience and attitude, which, in turn, develops customers’ revisit intention.

Research limitations/implications
A theoretical implication is that the pleasant brand experience and attitude emphasize the significance of the brand reputation in the formation of behavioral intention toward the integrated resort brand. Another theoretical implication is that integrated resort brand reputation might not be a strong indicator of the behavioral loyalty. It is worth conducting additional research on joint effects of brand reputation and customers’ type (e.g. recreational gamblers, problem gamblers, business travelers and family travelers).

Practical implications
The findings offer additional insights into managers on the integrated resort brand concept. This research provides opportunities for managers to identify rational/emotional linkages in differentiating, distinguishing and positioning integrated resort.

Originality/value
Although both brand experience and brand attitude have received past research attention, no researchers have studied them in an integrated resort setting. The main contribution of this research lies in testing the direct and indirect and fills a major gap in the integrated resort literature and research in stressing the need to consider about brand management.
Validation of the Spanish version of the intragroup conflict scale (ICS-14)
Authors: Nieto-Guerrero Manuel , Antino Mirko , Leon-Perez Jose M. 
Published: October 2018

PurposeThere is increasing evidence about the key role that intragroup conflicts have for teams’ performance and its members’ well-being. However, the existing measures in the Spanish-speaking context to address intragroup conflicts suffer from important theoretical and methodological flaws. In response, this study aims to provide a valid and reliable scale to measure intragroup conflicts in organizational settings: the Intragroup Conflict Scale in its 14-item version (ICS-14: Jehn et al., 2008).Design/methodology/approachIn a cross-sectional survey design, the authors analyze the ICS’s internal consistency and reliability, factor solution and external validity by using a multilevel approach in a sample consisting of 588 workers nested in 55 production teams from a Spanish company.FindingsResults indicated that the ICS-14 exhibited good Cronbach’s alpha (0.62-0.95), omega (0.63-0.95) and multilevel alpha coefficient (0.82-0.98). In addition, in line with the theoretical conception of three types of intragroup conflicts, results from a multilevel confirmatory factor analysis revealed that a three multilevel-factor solution presented the best fit to the data. Finally, multilevel analyses also showed that intragroup conflicts are associated to burnout, engagement at work and perceived team’s quality of service, which provided additional support for using the ICS-14 in the Spanish context.Practical implicationsThis study offers a reliable and valid measurement of intragroup conflict, considering the whole instrument and its different dimensions, which can be used to develop team strategies and evaluate the effect of specific interventions on conflict.Originality/valueThe authors validate the most recent 14-item version of the ICS-14 by applying a multilevel approach to a group-level construct that overcomes previous methodological flaws.
A methodology for increasing revenue in fashion retail industry
Authors: Nucamendi-Guillén Samuel , Moreno Miguel A. , Mendoza Abraham 
Published: October 2018

PurposeFashion retail companies typically exhibit short life-cycles, high volatility and low predictability. Therefore, their success is largely determined by the organisation’s flexibility and responsiveness. The purpose of this paper is to present a methodology to facilitate inventory control to minimise both shortages and excess inventory for a multi-product, multi-period finite time horizon inventory problem by using statistical and stochastic analysis.Design/methodology/approachThe proposed methodology operates in two phases: the first phase consists on determining an aggregate plan (AP) that will be used for monitoring the behaviour of the items during the time horizon. This plan is obtained by statistically analysing historical data related to sales and inventory shortages and is used to determine a demand forecast during the time horizon that allows to handle with potential disruptions derived from real demand variations. Finally, supply replenishment policies are defined to facilitate the monitoring process during the second phase. For the second phase, the behaviour of real demand for every item is captured into a database and compared against its projected demand (from the AP). If needed, adjustments are made in the procurement of future deliveries to reduce the probability of having shortages and/or excess inventory.FindingsA case study in a Mexican fashion retail company was conducted to assess the performance of the methodology. Results indicate that shortage in early periods can be reduced totally for certain products while, for others, the reduction is about 90.5 per cent. In addition, the incomes of the company were increased over 57 per cent.Research limitations/implicationsEven when the success of the methodology has been shown, cultural and behavioural factors were not considered. An extensive study is suggested to determine if these factors should be included to enhance the performance of the methodology.Practical implicationsA case study of a Mexican fashion retail company was conducted to assess the performance of the proposed methodology. The methodology is easy to implement and effectively and quickly responds to disruptions in the demand and it also significantly reduces the level of shortages while increasing sales and revenue for the company.Originality/valueThis paper proposes a methodology that is able to anticipate product’s behaviour from early weeks. Additionally, replenishment policies allow to quickly adjust future orders to guarantee the availability of items and minimise overstock.
Digital literacies: preparing pupils and students for their information journey in the twenty-first century
Authors: Gibson Poppy Frances , Smith Sarah 
Published: October 2018

Purpose
In a fast-moving world where technology has become intertwined with our daily lives, meaning information is available at our fingertips, information overload (Khabsa and Giles, 2014) is just one of many challenges that this technological overhaul has presented for learners from the primary classroom up to studies within higher education (HE). This paper aims to present skills needed by both pupils and students to navigate their information journey, and discusses how educators can support the acquisition and development of these skills.

Design/methodology/approach
Drawing on key literature in the fields of education and academia through the process of systematic review and adopting the analogy of a journey to represent lifelong learning, this bipartite paper explores how both primary school pupils and university students are required to access information in their very own information journeys in this “Information Age”.

Findings
The similarities and differences between child and adult learners are considered. This paper shares practical strategies for promoting the smarter use of information – and a shorter journey – for these “travelers” along the way. This paper essentially aims to raise questions in the minds of educators as they help to prepare their learners to learn.

Originality/value
This paper offers an interesting insight for teachers and lecturers as the crossover between two sets of learners, primary-age pupils and students in HE, is considered in terms of how we, as educators, can help to provide more effective and efficient information journeys, and therefore promote successful learning. A five-stage model is presented for the information journey.
A green vehicle routing model based on modified particle swarm optimization for cold chain logistics
Authors: Li Yan , Lim Ming K. , Tseng Ming-Lang 
Published: October 2018

PurposeThis paper studies green vehicle routing problems of cold chain logistics with the consideration of the full set of greenhouse gas (GHG) emissions and an optimization model of green vehicle routing for cold chain logistics (with an acronym of GVRPCCL) is developed. The purpose of this paper is to minimize the total costs, which include vehicle operating cost, quality loss cost, product freshness cost, penalty cost, energy cost and GHG emissions cost. In addition, this research also investigates the effect of changing the vehicle maximum load in relation to cost and GHG emissions.Design/methodology/approachThis study develops a mathematical optimization model, considering the total cost and GHG emission. The standard particle swarm optimization and modified particle swarm optimization (MPSO), based on an intelligent optimization algorithm, are applied in this study to solve the routing problem of a real case.FindingsThe results of this study show the extend of the proposed MPSO performing better in achieving green-focussed vehicle routing and that considering the full set of GHG costs in the objective functions will reduce the total costs and environmental-diminishing emissions of GHG through the comparative analysis. The research outputs also evaluated the effect of different enterprises’ conditions (e.g. customers’ locations and demand patterns) for better distribution routes planning.Research limitations/implicationsThere are some limitations in the proposed model. This study assumes that the vehicle is at a constant speed and it does not consider uncertainties, such as weather conditions and road conditions.Originality/valuePrior studies, particularly in green cold chain logistics vehicle routing problem, are fairly limited. The prior works revolved around GHG emissions problem have not considered methane and nitrous oxides. This study takes into account the characteristics of cold chain logistics and the full set of GHGs.
Determination of economic sector in East Kalimantan, Indonesia
Authors: Achmad Zaini 
Published: October 2018

Purpose
This paper aims to analyze the superior economic sector by looking at its contribution to the gross regional domestic product (GRDP) of East Kalimantan Province, the economic base, the multiplier effect and the strength of inter-sectoral linkages.

Design/methodology/approach
This study was designed through two research approaches, namely, quantitative and qualitative method. This is intended to complement the results of the phenomenon under study and to strengthen the analysis. Secondary data were analyzed by the level of contribution of the economic sectors to the GRDP, and the base sector was determined through the location quotient approach. The two methods of calculation helped to reveal the dominant economic sectors in East Kalimantan Province. The Input Output (IO) Table in 2016 was made up dated from the 2009 IO Table to be used as a basis for building Social Accounting Matrix data or known as the East Kalimantan Regional Socio-Economic Balance System (SEBS) (a matrix of 49 × 49 sectors) in 2017 by using the RAS method. To be consistent, these SEBS data are then aggregated so all commodities are combined into economic sectors used to determine the leading sector on the East Kalimantan Province SEBS in 2016 (a matrix of 41 × 41 sectors).

Findings
Based on the assessment by scoring of the criteria for determining the leading economic sectors in East Kalimantan, i.e. the contribution of the economic sector to GRDP, the economic base, the multiplier effect (income, production factor, and output) and the linkages between sectors, both backward and forward linkage, shows the ten leading sectors as follows: the trade; paper and printed goods; financial institutions and other financial services; fertilizer; chemical and other rubber products; hotel and restaurant; general government; fisheries; excavation; and mining without oil and gas.

Originality/value
Similar research has never been done before in East Kalimantan; this is one of the originalities of this present study. No previous study has comprehensively studied the mediating effects of tourist value perception on the determination of economic sector, especially in Kalimantan, Indonesia.
Assessing the effects of exchange rate depreciation on the US economy
Authors: Sun Wei , Kim Gil 
Published: October 2018

PurposeThe purpose of this paper is to examine the effects of exchange rate shock on the broad spectrum of the US economy using a factor-augmented VAR model (FAVAR).Design/methodology/approachThe authors developed a two-factor FAVAR model and estimated it with the single-step Bayesian likelihood approach using the Gibbs sampling technique. The two factors represented, respectively, the economic activity and price pressures. The exchange rate shock was identified with the Choleski decomposition method for VARs. The authors used the data of 117 time series for the period from 1973:02 to 2007:12. Impulse responses and variance decompositions were computed as the main results.FindingsThe authors found that exchange rate shock has pervasive effects on the US economy as the following: depreciation does not appear to help reduce the US trade deficit as both import and export rise with the depreciation shock; in the short run, depreciation appears expansionary as industrial production, manufacturing and employment all increase within a year; in the medium run, depreciation appears inflationary, as consumer price, producer price, import price and export price all increase; and in the medium run, depreciation appears contractionary as personal consumption, consumer confidence, stock price and housing start tend to fall.Research limitations/implicationsSome caveats remain: first, our simple model symmetrically estimates depreciation shock and appreciation shock and, hence, cannot draw inferences for how exchange rate appreciation and depreciation may affect the US economy asymmetrically. Second, the simple model used did not distinguish the different possible sources of exchange rate depreciation shock, the knowledge of which may lead to richer policy implications and is the direction of research for the future.Originality/valueThis research contributes to the literature of whether exchange rate is expansionary or contractionary to the US economy using the FAVAR model. This is the first comprehensive study in the literature studying the pervasive effects of the exchange rate on the broad spectrum of the US economy in one integrated model.
Resource misallocation and production inefficiency
Authors: Salas-Velasco Manuel 
Published: October 2018

Purpose
Recent studies have linked differences in aggregate productivity to misallocation of resources across firms. In contrast, the purpose of this paper is to study the macroeconomic performance of OECD economies from a production efficiency point of view and estimated the determinants of (in)efficiency with particular emphasis on misallocation of labor.

Design/methodology/approach
Following the pioneering work of Battese and Coelli, the authors proposed a parametric methodology to construct a world frontier that serves as a benchmark to compare the relative position of each country. The non-negative technical inefficiency effects are assumed to be a function of explanatory variables. By doing this, determinants of technical inefficiency are explicitly introduced in the model.

Findings
The results revealed that OECD countries to operate efficiently should expand their aggregate output by 22.6 percent without consuming more resources. A novel finding is that higher skill mismatch is associated with higher production inefficiency. Conversely, more flexible labor markets, and better management and human resource practices, lowered the inefficiency in production. The paper also analyzed the underlying factors driving skill misallocation in the job market. In this regard, a well-functioning education and training system and greater flexibility in the determination of wages are associated with lower levels of mismatch between the skills of individuals and those required by the jobs.

Practical implications
The measurement of the productive efficiency of an economy (or country) is crucial to governments. It is important to know how far a given economy can be expected to increase its output by simply increasing its efficiency, without absorbing further resources. In other words, it is relevant to know if a country could produce more with the same resources and, therefore, could increase per capita income and welfare. In this type of analysis what also matters is to identify what factors or variables explain that greater or lesser ability of a country to convert its resources into aggregate production.

Originality/value
Much research on efficiency measurement has focused on the firm or industry level, mainly to study the efficiency of financial institutions. Efficiency studies using aggregated data across countries are rare in the literature of efficiency. This paper aimed to contribute to filling that shortage evaluating the macroeconomic performance of a sample of OECD countries from the production efficiency point of view.