bluuebunny/crossref_metadata_2025_split huggingface dataset:
Does slowness bring social change through Cittaslow?
Authors: Kucukergin Fulden Nuray , Ozturk Yuksel 
Published: May 2020

Purpose
The preservation of social structure in slow cities has not been adequately examined in the literature. Therefore, the aim of this study is to examine social change perceptions of local people in a slow city. Whether the dimensions of social change differ according to gender and inhabitancy was investigated.

Design/methodology/approach
Multivariate analysis of variances was used for data analysis. Data were collected from 399 participants in Seferihisar.

Findings
Results showed that the perception of local people related to social change differs according to their gender and duration of stay in Seferihisar. Differences were also examined for each sub-dimension of social change.

Originality/value
The preservation of social structure in slow cities has not been adequately examined in the literature. Accordingly, this study explores social change with five sub-dimensions in the context of Cittaslow.
Measurement of roller chain wear lubricated with palm oil-based hexagonal boron nitride nanoparticles
Authors: Amiruddin Hilmi , Abdollah Mohd Fadzli Bin , Mohamad Nizar Muhamad Aliff Danial 
Published: May 2020

Purpose
This study aims to introduce a novel technique which helped in quantifying the wear performance of a roller chain which was lubricated by using the palm oil-based hexagonal boron nitride (hBN) nanoparticles (nano-biolubricant).

Design/methodology/approach
The efficiency of the nano-biolubricant was evaluated by using a custom-made roller chain tribometer, at different resistance torque values at a constant speed and running time. Prior to the test, 2 different lubrication conditions were applied. The mass loss and elongation behaviour of a roller chain was selected as a degradation metric for monitoring the amount of the chain wear. The predominant wear mechanism of a roller chain was identified by surface morphological analysis.

Findings
Regardless of the lubrication conditions, the wear performance of the roller chain was significantly increased, at increasing resistance torque values. Higher wear was noted when the roller chain was lubricated using a nano-biolubricant, however, the wear curve showed a promising high chain life. The predominant wear mechanism involved is abrasive wear.

Originality/value
Although an increase in the elongation during running is based on the wear between the pins and roller, none of the earlier studies quantified the wear performance of a roller chain under differing lubrication conditions. Hence, for bridging the gap, this study described a new method for measuring the wear performance of the roller chain which was lubricated using the palm oil-based hBN nanoparticles or a nano-biolubricant.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-02-2020-0061/
Effect of taper error on the performance of gas foil conical bearing
Authors: Hu Hongyang , Feng Ming , Ren Tianming 
Published: May 2020

Purpose
This paper aims to study the bearing performance with different cone angle errors, to study the effect law of manufacturing taper error on the properties of gas foil conical bearing (GFCB).

Design/methodology/approach
For the GFCB supported by separated bump foil strips, a nonlinear structure stiffness model considering Coulomb friction and arch characteristics was proposed. The finite element method and finite difference method were used to solve the Reynolds equation and the film thickness equation by coupling, and the properties of the GFCB were obtained. The effect of foil and bearing structure parameters on the static and dynamic performance under different taper error cases was analyzed. Moreover, a test on the air compressor supported by GFCBs was conducted to verify the practicability.

Findings
The taper error has a largely adverse effect on the load capacity of GFCB. When the taper error is −0.03°, the radial load capacity Fr and axial load capacity Fz decrease by 37.5 and 58.3%, respectively. The taper error decreases the direct stiffness and cross-coupled damping of GFCB, which will weaken the bearing stability. Moreover, the performance of GFCB is closely related to the foil and bearing parameters.

Originality/value
The taper error adversely affects the static and dynamic characteristics of GFCB, which should be concerned by bearing designers, researchers and academicians.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-03-2020-0089/
Understanding President Trump supporters’ behaviors about a political controversy
Authors: Krishna Arunima , Kim Soojin 
Published: May 2020

PurposeThis study seeks to understand Trump supporters’ behaviors on social media in the wake of a political controversy: US President Trump’s continued support for Judge Roy Moore’s candidacy for the US Senate representing the state of Alabama despite several allegations of sexual assault against him.Design/methodology/approachFew days before the special election was held in Alabama, an online survey was conducted among 325 supporters of President Trump to explore Trump supporters’ social media behaviors, including the unfriending/unfollowing contacts and speaking out about the controversy.FindingsWe found a negative presidential image to influence individuals’ loss of face, and such loss of face to impact unfriending/unfollowing behaviors on social media, as well as outspokenness. Furthermore, the differences between strong issue supporters and weak issue supporters’ opinions of climate perceptions and outspokenness were investigated.Originality/valueRather than using fear of isolation as the mediator between opinion climate and willingness to speak out, as is generally the case in the spiral of silence model (Moy et al., 2001), this study investigated the role of another affective indicator, loss of face on two social media behaviors, outspokenness, and unfollowing/unfriending contacts on social media.
Exploring the intersections: researchers and communication professionals' perspectives on the organizational role of science communication
Authors: Koivumäki Kaisu , Wilkinson Clare 
Published: May 2020

PurposeThis paper reports on research exploring the intersections between researchers and communication professionals' perspectives on the objectives, funders and organizational influences on their science communication practices.Design/methodology/approachExamining one context, the inter-organizational BCDC Energy Research project based at five different research organizations in Finland, this paper presents data from semi-structured interviews with 17 researchers and 15 communication professionals.FindingsThe results suggest that performance-based funding policies that drive the proliferation of large-scale research projects can create challenges. In particular, a challenge arises in generating a shared sense of identity and purpose amongst researchers and communication professionals. This may have unintended negative impacts on the quality and cohesiveness of the science communication which occurs.Research limitations/implicationsThe study was exploratory in nature and focuses on one organizational and institutional environment. Further research with a wider number of projects, as well as funders, would be conducive to a greater understanding of the issues involved.Practical implicationsOn a practical level, this research suggests that the creation of clearer communications awareness and guidance may be helpful in some large-scale projects, particularly involving broad numbers of organizations, individual researchers and funders.Originality/valueThis is one of the first studies examining the perspectives of both researchers and communication professionals working over one project, drawing together a range of different institutional and disciplinary perspectives. The results highlight the importance of the influences of funding on science communication aims, assumptions, cultures and structures. The article articulates the need for further research in this area.
Two-directional convergence of platform and pipeline business models
Authors: Mody Makarand , Wirtz Jochen , Fung So Kevin Kam , Chun Helen HaeEun , Liu Stephanie Q. 
Published: May 2020

PurposeThis article examines the new phenomenon of the convergence of platform and pipeline business models. It examines the potential synergies and challenges for platforms to add pipeline components and vice versa for pipeline businesses.Design/methodology/approachThis paper uses a conceptual approach that synthesizes and integrates the literature from service, hospitality, and strategy, and supplements them with two illustrative mini-case studies.FindingsWhile the extant literature typically focuses on the dichotomy between incumbent pipeline businesses that create value by controlling a linear series of activities and network effects-driven platforms, we differentiate between two types of platform business models (i.e. platforms with asset control and platforms with peer-provided assets). Further, we identify three common pathways of convergence; that is, pipelines moving towards (1) platforms with asset control and (2) those with peer-provided assets, and (3) platforms with peer-provided assets adopting defining business characteristics of pipelines. Furthermore, we contrast key characteristics of the three business models and examine potential synergies and challenges for business model convergence. Our findings suggest that convergence from pipelines to platforms with asset control seems to be a natural extension that offers many potential synergies and relatively minor challenges. In contrast, convergence from pipelines to platforms with peer-provided assets is likely to encounter more serious challenges and few synergies. Finally, the synergies and challenges of convergence from platforms with peer-provided assets to pipelines seem to be in between the other two in terms of synergies and challenges.Practical implicationsThis article helps managers think through key considerations regarding potential synergies to develop and challenges to mitigate for embarking on convergence strategies between pipeline and platform business models.Originality/valueThis article is the first in the service, business model and strategy literature to identify, define, and conceptualize business model convergence between platforms with asset control, those with peer-provided assets and pipeline businesses. It is also the first to examine potential synergies and challenges these different paths of business model convergence may entail.
Strange attractor in the Auckland commercial property market
Authors: Szweizer Moshe 
Published: May 2020

PurposeThe purpose of this study is to provide a chaos theory-based framework, which can be used to model commercial property market dynamics.Design/methodology/approachThe paper is presented in two parts. In the first, rigorous mathematical reasoning is entertained, so to derive an attractor describing a set of feedback formulae. In the second part, the attractor definition is used to model the Auckland commercial office market. The model is exposed through a set of seven scenarios allowing for analysis of the market behaviour under various exogenously imposed conditions.FindingsThe general behaviour of the model is in agreement with the commercial property market conduct observed in Auckland. The model provides information related to the market turning points and allows for an explanation of some intricate market dynamics. These include the anatomy of a market peak and its response to the liquidity oversupply.Practical implicationsThe model may be used to expand our understanding of the market performance under various exogenically imposed conditions, which allows for planning of market interventions in a more refined manner.Originality/valueThe paper is original, in the way the chaos theory is applied to the property markets modelling and allows for expanding the understanding of the market behaviour.
Joint optimization of production and maintenance for multi-machines subject to degradation and subcontracting constraints
Authors: Hafidi Nouhayla , El Barkany Abdellah , EL Mhamedi Abderrahman , Mahmoudi Morad 
Published: May 2020

PurposeThe purpose of this paper is to consider various possible constraints of the problem of production and maintenance planning control for a multi-machine under subcontracting constraint, in order to bring the manufacturer industry closer to real mode. In this paper, we present an efficient and feasible optimal solution, by comparing optimization procedures.Design/methodology/approachOur manufacturing system is composed of parallel machines producing a single product, to satisfy a random demand under a given service level. In fact, the demand is greater than the total capacity of the set of machines; hence there rises a necessity of subcontracting to complete the missing demand. In addition, we consider that the unit cost of subcontracting is a variable depending on the quantity subcontracted. As a result, we have developed a stochastic optimal control model. Then, to solve the problem we compared three optimization methods: (exact/approximate), the genetic algorithm (GA), the Pattern Search (PS) and finally fmincon. Thus, we validate our approach via a numerical example and a sensitivity analysis.FindingsThis paper defines an internal production plan, a subcontracting plan and an optimal maintenance strategy. The optimal solution presented in this paper significantly improves the ability of the decision maker to consider larger instances of the integrated model. In addition, the decision maker can answer the following question: Which is the most optimal subcontractor to choose?Practical implicationsThe approach developed deals with the case of the real-mode manufacturing industry, taking into consideration different constraints and determining decision variables which allow it to expand the profits of the manufacturing industry in different domains such as automotive, aeronautics, textile and pharmacies.Originality/valueThis paper is one of the few documents dealing with the integrated maintenance in subcontracting constraint production which considers the complex aspect of the multi-machine manufacturing industry. We also dealt with the stochastic aspect of demand and failures. Then, we covered the impact of the unit cost variation of subcontracting on the total cost. Finally, we shed light on a comparison between three optimization methods in order to arrive at the most optimal solution.
Measuring dynamic absorptive capacity in national innovation surveys
Authors: Alves Marlon F.R. , Galina Simone V.R. 
Published: May 2020

PurposeThe dynamic capability view reshaped the understanding of how firms can achieve a sustained competitive advantage through innovation. However, studies based on national innovation surveys have not incorporated this vision when measuring absorptive capacity, especially the evolutionary aspects of dynamic capabilities. This study addresses this gap.Design/methodology/approachWe empirically validate a scale using a national innovation survey based on the Oslo Manual standards. Using a five-wave survey, we demonstrate the scale's reliability, convergent and discriminant validity and stable structure across industries and over time.FindingsThis research integrates the dynamic capability literature with absorptive capacity measurement to propose and validate a multi-item and bidimensional scale for national innovation surveys.Originality/valueWe provide a measurement model that captures an evolutionary conceptualization of absorptive capacity as a dynamic capability. Hence, our contribution enhances the quality and validity of studies on absorptive capacity and advances the understanding of how firms develop and deploy absorptive capacity to drive performance.
Entrepreneurial decisions in tourism and hospitality during crisis
Authors: Pappas Nikolaos , Brown Alyssa Eve 
Published: May 2020

PurposeThe article examines the entrepreneurial decision-making in the Greek tourism and hospitality sector during a period of an economic crisis.Design/methodology/approachThe nationwide study includes the responses of 503 entrepreneurs engaged in the Greek travel, tourism and hospitality industry. The research employs fuzzy-set Qualitative Comparative Analysis (fsQCA), and examines trust, enterprising negotiation power, tourism decision-making considerations and crisis effects. It also includes the categorical data of operational mode and company type.FindingsThe analysis has generated three different pathways for entrepreneurial decision-making during crisis in the Greek tourism and hospitality sector. These pathways are (1) crisis conditions, (2) enterprising operations and focus and (3) enterprising capabilities.Research limitations/implicationsDue to the limited employment of fsQCA in the tourism sector, its full potential is still to be explored.Practical implicationsThe study provides three different pathways that Greek tourism entrepreneurs select for their decision-making according to the characteristics of their firms and their market orientation.Originality/valueTheoretically, the study contributes by enhancing understanding of entrepreneurial decision-making during periods of crisis. In the methodological domain, the research employs fsQCA, which has only recently started to be used in tourism and hospitality, and generally the service sector.
Predicting of proactive environmental management for unhairing wastewater treatment in Tunisia using neural network learning algorithms
Authors: Turki Mohamed , Zahrani Hamden , Ayadi Meriem , Kallel Monem , Bouzid Jalel 
Published: May 2020

PurposeThe purpose of this study is to focus on Tunisian tannery sector that causes a considerable damage to the environment and consequently leads to serious health problems due to the untreated effluents generated from the various leather processing stages.Design/methodology/approachThis paper discusses a voluntary initiative taken by the top managers of tannery enterprise to prevent pollution and disseminate the concept of eco-industrial activities between employees and stakeholders. In addition, this research assesses the performance of such treatment that characterizes the chemical parameters of generated pollutants. It also aims at optimizing the industrial process for cleaner production. Coagulation–flocculation process is investigated in this study. Moreover, oxidation phase by ozone is taking into account before and after coagulation–flocculation process to measure the effectiveness of the combined method for reducing the main pollutant concentrations.FindingsThe unhairing and chrome (Cr) tanning steps are considered the most polluting steps. Therefore, the application of various treatment techniques, including chemical and physicochemical processes, is realized to reduce the toxicity of the effluents. The correlation between experimental and modeling results, using artificial neural network (ANN) method, was investigated in this research. The results of the constructed ANN model are measured by the correlation of experimental and model results during coagulation–flocculation and oxidation stages. The validation of the elaborated model through the error calculation (MSE) and the correlation coefficient (R) confirm the reliability of ANN method.Originality/valueEventually, the establishment of ANN model for performance prediction of wastewater parameters is investigated due to different measurements of physical effluent outputs, such as: pH, turbidity, TSS, DS, COD, fat, TSS, S2- and Cr. This study uses predictive modeling, a machine learning technique to tackle the problem of accurately predicting the behavior of unseen configuration.
Improving sustainability and encouraging innovation in traditional craft sectors: the case of the Sri Lankan handloom industry
Authors: Wanniarachchi Thushari , Dissanayake Kanchana , Downs Carolyn 
Published: May 2020

Purpose
The purpose of this study is to assess sustainability across the handloom industry in Sri Lanka and identify opportunities for sustainable innovations supporting new markets, development of small-and-medium enterprises (SMEs) and growth in the Sri Lankan craft sector.

Design/methodology/approach
Using a multiple case studies methodology, 10 case studies and 37 semi-structured interviews were analysed along with the triple-layered business model canvas.

Findings
The study reveals the handloom industry to be fundamentally sustainable but with structural barriers that hinder both innovation and growth. The environmentally conscious production process and social inclusion within weaving communities are the key driving forces of sustainability in the sector; however, the structure of the industry and lack of access to markets and information act as barriers to both innovation and growth. The incorporation of design interventions, closed-loop manufacturing strategies and the encouragement of community-based entrepreneurship would support sustainability-orientated business innovation in the handloom industry.

Originality/value
The rapidly increasing market share for high-quality, hand-made goods indicates the potential of the creative industries to accelerate socio-economic growth. Handloom textiles is attracting growing interest in fashion markets because of increasing concern about exploitation in production, thus encouraging interest in the economic benefits of fairly traded, high quality materials and the potential contribution of handloom to sustainability in the fashion industry. The results of this study will support the handloom industry and policy-makers in developing support for sustainable innovation in the handloom industry.
Hedging positions in US wheat markets: a disaggregated data analysis
Authors: Hoang Nam , Grieb Terrance 
Published: May 2020

Purpose
This study aims to spot wheat data and disaggregated commitment of trader data for CME traded wheat futures to examine the effect of exogenous shocks for hedging positions of Producers and Swap Dealers on cash-futures basis and excess futures returns.

Design/methodology/approach
A Bayesian vector autoregression (BVAR) methodology is used to capture volatility transfer effects.

Findings
Evidence is presented that institutional short hedging positions play a major role in the pricing of asymmetric information held by Swap Dealers into the basis. The results also indicate that producer hedging contains information when conditions in the supply chain create a shift in long vs short hedging demand. Finally, the results demonstrate that that Swap Dealer short hedging has the greatest effect on risk premium size and historical volatility.

Originality/value
Various proxies for spot prices are used in the literature, although actual spot price data is not common. In addition, stationarity for basis and open interest data is induced using the Baxter-King filter which allows us to work with levels, rather than percentage changes, in the time series data. This provides the ability to directly observe the effect of outright open interest positions for hedgers on contemporaneous innovations in basis and in excess returns. The use of a BVAR methodology represents an improvement over other structural VAR models by capturing contemporaneous systemic effects within an endogeneity based structural framework.