bluuebunny/crossref_metadata_2025_split huggingface dataset:
Consumers’ snack choices: current factors contributing to obesity
Authors: Mielmann Annchen , Brunner Thomas A. 
Published: November 2018

Purpose
The purpose of this paper is to indicate the need for and create an insightful understanding of the current factors contributing to consumer’s obesity levels due to their snack choices.

Design/methodology/approach
This paper reports on previous literature using publications from the Emerald Insight Journals, Google Scholar, ScienceDirect and Web of Science electronic database from 1999 to 2018 that validate and support existing literature. The retrieved literature is organised and classified into specific constructs.

Findings
Research into consumers’ choice of snacks from an environmental, cultural and health perspective is still underrepresented in the international scientific literature. More research is required on the specific effects of specific levels of the stated factors contributing to obesity. Health and cross-cultural studies are needed for a more comprehensive understanding of the relation between snack choices and factors contributing to obesity that will help to implement more efficient health measures.

Originality/value
This paper is of value to academics studying consumers’ snacking behaviour and public health practitioners evaluating qualitative and quantitative methods to address the obesity epidemic.
Corporate governance dynamics and wealth effects: evidence from large loss acquisitions and large gain acquisitions in the USA
Authors: Choi Seung Hee , Szewczyk Samuel H. , Chhabria Maneesh 
Published: November 2018

PurposeWhen major reallocations of the firm’s assets are strategically necessary, the corporation’s decision system is perhaps put to its severest test. This paper aims to argue that a relevant balance in the corporate governance structure is highly important to assure those strategic decisions taken are successful and economically beneficial to shareholders’ wealth.Design/methodology/approachThis study examines US firms making major acquisitions resulting in large losses or large gains and identify weaknesses and strengths in their respective governance structures.FindingsFirms making large loss acquisitions demonstrate a balance in the corporate governance structure that heavily favors the CEO. Firms making large gain acquisitions present a more efficient balance in the configuration their corporate governance dynamics. Finally, the authors present evidence that making a major acquisition triggers rebalancing of the corporate governance dynamics to increase the effectiveness of monitoring the implementation of the acquisition. The authors find firms making large loss acquisitions make more extensive changes in the professional expertise on their boards.Originality/valueThis study provides a broad understanding of the role of corporate governance by examining overall governance dynamics and offers how one corporate governance structure does not fit all firms, at all times, in all circumstances. Instead, timely imbalances within the configurations of corporate governance dynamics over the major strategic acquisition process can be consistent with the goal of increasing shareholders’ wealth.
An evolutionary modelling approach to predicting stress-strain behaviour of saturated granular soils
Authors: Ahangar Asr Alireza , Faramarzi Asaad , Javadi Akbar A. 
Published: November 2018

Purpose
This paper aims to develop a unified framework for modelling triaxial deviator stress – axial strain and volumetric strain – axial strain behaviour of granular soils with the ability to predict the entire stress paths, incrementally, point by point, in deviator stress versus axial strain and volumetric strain versus axial strain spaces using an evolutionary-based technique based on a comprehensive set of data directly measured from triaxial tests without pre-processing. In total, 177 triaxial test results acquired from literature were used to develop and validate the models. Models aimed to not only be capable of capturing and generalising the complicated behaviour of soils but also explicitly remain consistent with expert knowledge available for such behaviour.

Design/methodology/approach
Evolutionary polynomial regression (EPR) was used to develop models to predict stress – axial strain and volumetric strain – axial strain behaviour of granular soils. EPR integrates numerical and symbolic regression to perform EPR. The strategy uses polynomial structures to take advantage of favourable mathematical properties. EPR is a two-stage technique for constructing symbolic models. It initially implements evolutionary search for exponents of polynomial expressions using a genetic algorithm (GA) engine to find the best form of function structure; second, it performs a least squares regression to find adjustable parameters, for each combination of inputs (terms in the polynomial structure).

Findings
EPR-based models were capable of generalising the training to predict the behaviour of granular soils under conditions that have not been previously seen by EPR in the training stage. It was shown that the proposed EPR models outperformed ANN and provided closer predictions to the experimental data cases. The entire stress paths for the shearing behaviour of granular soils using developed model predictions were created with very good accuracy despite error accumulation. Parametric study results revealed the consistency of developed model predictions, considering roles of various contributing parameters, with physical and engineering understandings of the shearing behaviour of granular soils.

Originality/value
In this paper, an evolutionary-based data-mining method was implemented to develop a novel unified framework to model the complicated stress-strain behaviour of saturated granular soils. The proposed methodology overcomes the drawbacks of artificial neural network-based models with black box nature by developing accurate, explicit, structured and user-friendly polynomial models and enabling the expert user to obtain a clear understanding of the system.
Stochastic design optimization accounting for structural and distributional design variables
Authors: Ren Xuchun , Rahman Sharif 
Published: November 2018

Purpose
This paper aims to present a new method, named as augmented polynomial dimensional decomposition (PDD) method, for robust design optimization (RDO) and reliability-based design optimization (RBDO) subject to mixed design variables comprising both distributional and structural design variables.

Design/methodology/approach
The method involves a new augmented PDD of a high-dimensional stochastic response for statistical moments and reliability analyses; an integration of the augmented PDD, score functions, and finite-difference approximation for calculating the sensitivities of the first two moments and the failure probability with respect to distributional and structural design variables; and standard gradient-based optimization algorithms.

Findings
New closed-form formulae are presented for the design sensitivities of moments that are simultaneously determined along with the moments. A finite-difference approximation integrated with the embedded Monte Carlo simulation of the augmented PDD is put forward for design sensitivities of the failure probability.

Originality/value
In conjunction with the multi-point, single-step design process, the new method provides an efficient means to solve a general stochastic design problem entailing mixed design variables with a large design space. Numerical results, including a three-hole bracket design, indicate that the proposed methods provide accurate and computationally efficient sensitivity estimates and optimal solutions for RDO and RBDO problems.
Post termination interaction in international joint ventures (IJV)
Authors: Parameswar Nakul , Dhir Sanjay 
Published: November 2018

PurposeThis paper aims to explore dynamics of post termination interaction between international joint venture (IJV) partners and empirically examines IJV level and dyad level factors that influence the choice of post IJV termination interaction as supplier, complement or competitor.Design/methodology/approachIn-depth literature review is undertaken to identify IJV and dyad level that could influence the choice of post termination interaction between terminated IJV partners. Hypotheses are empirically validated using multinomial logistic regression on data collected on terminated IJV headquartered in India.FindingsThe results denote that the choice of post-IJV termination interaction between IJV partners as supplier, complement or competitor is influenced by interdependence, bargaining power, foreign partner’s purpose of IJV, complementarity and type of IJV termination.Research limitations/implicationsThis paper explores an under researched area in extant IJV literature that could be taken up for study by academicians. The paper upholds and strengthens the dynamic capabilities view of strategic management in IJV context.Practical implicationsThis paper examines a practice adopted by businesses in emerging markets and determines important factors that influence the choice of interaction post IJV termination between partners. Practitioners will be encouraged to understand and plan post termination dynamics with their terminated IJV partner.Originality/valueThe paper undertakes examination of a practical business phenomena, i.e. interaction post termination between terminated IJV partners.
Negative externalities in the sharing economy: sources, paths and recommendations
Authors: Jing Wenjun , Sun Baowen 
Published: November 2018

Purpose
This paper aims to clarify the complex path of negative externalities in the sharing economy and proposes corresponding policy recommendations.

Design/methodology/approach
This paper aims to establish an analytical framework for the negative externalities of the sharing economy and to extract the main factors that produce negative externalities, and then, through qualitative comparative analysis method find out how these factors interact to form a negative externality.

Findings
Negative externalities in the sharing economy come from the joint effect of the sharing degree of the product or service and constraint mechanism, and the current main modes of the shared economy increase the possibility of negative externalities.

Originality/value
The paper proposes a complex path resulting from negative externalities in the shared economy.
Economic implications of domestic natural gas allocation in Indonesia
Authors: Hutagalung Aldi M. , Hartono Djoni , Arentsen Maarten J. , Lovett Jon C. 
Published: November 2018

Purpose
The purpose of the paper is to provide to a better scientific understanding of Indonesia’s domestic gas allocation policy and its effects on the national economy and to answer the question of what best priorities can be set in allocating the natural gas for the domestic market to maximize the benefits for the national economy.

Design/methodology/approach
The authors apply a Computabled General Equilibrium (CGE). The Social Accounting Matrix 2008 is used to calibrate the CGE Model. There are two scenarios proposed, each is simulated with certain percentage of gas supply curtailment (50 MMSCFD, Scenario A), (100 MMSCFD, Scenario B).

Findings
It is confirmed that government’s current policy to give priority to oil production is not the optimum way to maximize added value of natural gas to Indonesian economy. While oil production generates state revenue, it is industry and petrochemical sector that induces high economic impacts because of strong backward and forward linkages.

Research limitations/implications
Due to the limited data availability, it is assumed that the data on the SAM 2008 are valid for describing the structure of Indonesian economy.

Practical implications
The paper provides recommendation to the government to revise gas allocation policy by changing the rank of consumers’ priority.

Originality/value
This paper provides instruments to measure the impact of Indonesia’s domestic gas allocation policy. Finding the best hierarchy of consumer priorities is essential for maximizing added value of natural gas for the national economy.
Critical literacy in #DigitalActivism: collaborative choice and action
Authors: Amgott Natalie 
Published: November 2018

Purpose
The purpose of this paper is to explore the intersection between critical literacy and digital activism. Critical literacy is a form of instruction that teaches students to question power structures and societal injustices, while digital activism introduces methods for individuals and groups to use digital tools to effect social and political change. This review argues that digital literacy is the natural partner to pedagogical approaches informed by critical literacy, which attempts to uncover, address, question and solve social problems.

Design/methodology/approach
An illustrative example of collaborative student choice and action is offered through a multimedia project with actionable hashtags for sharing online. The paper concludes with a discussion of how educators can foster more collaborative choice and action by intertwining critical and digital literacies at all levels of education. However, implementation and application of these ideas lies not only with educators and administrators, but most importantly, with students themselves.

Findings
In order for students to be most prepared for meaningful interactions in the global and digital world, critical literacy, digital literacy and digital activism must become a core part of classroom instruction. Multimedia projects that are easily sharable and can track analytics are a successful way to raise consciousness and advocate for local and global action.

Originality/value
The powerful instructional practices that link critical and digital literacies provide students with the skills to continue questioning multiple viewpoints and promoting social justice issues within and beyond classroom walls.
Level of detail, information and accuracy in building information modelling of existing and heritage buildings
Authors: Graham Katie , Chow Lara , Fai Stephen 
Published: November 2018

Purpose
Over the past decade, national and international organisations concerned with regulating the architecture, engineering, construction and operations industry have been working to create guidelines for the integration of building information modelling (BIM) through the establishment of benchmarks to measure the quality and quantity of information in a given model. Until recently, these benchmarks – and BIM guidelines in general – have been developed for the design and construction of new projects, providing very little guidance for using BIM in the context of conservation and rehabilitation. The purpose of this paper is to introduce a new benchmark specific to existing and heritage buildings developed by Carleton Immersive Media Studio (CIMS).

Design/methodology/approach
To create the new benchmark, CIMS conducted a critical evaluation of established and emerging BIM guidelines including: Level of Development Specification 2016 (BIMFORUM), architecture, engineering and construction (Can) BIM Protocol (CanBIM), PAS 1102-2: Specification for Information Management for the Capital Delivery Phase of Construction Projects Using BIM (British Standards Institution) and Level of Accuracy Specification Guide (US Institute of Building Documentation).

Findings
Using the authors’ on-going work at the Parliament Hill National Historic Site in Ottawa, Canada, the CIMS created and applied a three-category system that evaluated the level of detail, information and accuracy within the building information model independently.

Originality/value
In this paper, the authors discuss the CIMS’ work to date and propose next steps.
Exploring consumer collecting behavior: a conceptual model and research agenda
Authors: Ijams Spaid Brian 
Published: November 2018

PurposeThe purpose of this paper is to explore the behaviors that revolve around collecting, the motivations behind these behaviors and the psychological benefits collectors receive from engaging in these collecting behaviors.Design/methodology/approachA thorough literature review and integration of prominent psychological and social psychology theories are used to propose a conceptual model, several research propositions and potential research questions for future scholarship.FindingsThis paper proposes that a collector salient identity and collecting motives drive tension-inducing social and solitary collecting behaviors and that these behaviors in turn reinforce the collector salient identity. Relevant aspects of the collecting phenomenon are explored, and included propositions provide future research direction to validate a proposed conceptual model designed to provide insights into a common consumer behavior.Originality/valueThis paper provides a broad conceptual model and explores several details of consumer collecting behavior as a basis for future research.
Influence of automated driving on driver’s own localization: a driving simulator study
Authors: Umeno Ryuichi , Itoh Makoto , Kitazaki Satoshi 
Published: November 2018

Purpose
Level 3 automated driving, which has been defined by the Society of Automotive Engineers, may cause driver drowsiness or lack of situation awareness, which can make it difficult for the driver to recognize where he/she is. Therefore, the purpose of this study was to conduct an experimental study with a driving simulator to investigate whether automated driving affects the driver’s own localization compared to manual driving.

Design/methodology/approach
Seventeen drivers were divided into the automated operation group and manual operation group. Drivers in each group were instructed to travel along the expressway and proceed to the specified destinations. The automated operation group was forced to select a course after receiving a Request to Intervene (RtI) from an automated driving system.

Findings
A driver who used the automated operation system tended to not take over the driving operation correctly when a lane change is immediately required after the RtI.

Originality/value
This is a fundamental research that examined how the automated driving operation affects the driver's own localization. The experimental results suggest that it is not enough to simply issue an RtI, and it is necessary to tell the driver what kind of circumstances he/she is in and what they should do next through the HMI. This conclusion can be taken into consideration for engineers who design automatic driving vehicles.
Attitudes to antipsychotics: a multi-site survey of Canadian psychiatry residents
Authors: Bahji Anees , Bajaj Neeraj 
Published: November 2018

Purpose
The purpose of this paper is to identify the training needs of the next generation of psychiatrists, and barriers in prescribing first-generation antipsychotics (FGAs), long-acting injectable (LAIs) antipsychotics and clozapine.

Design/methodology/approach
An electronic survey was sent to psychiatry residents (N= 75/288, 26 percent) at four Canadian residency programs in late December 2017. The survey was based on an instrument originally developed at the University of Cambridge and consisted of 31 questions in 10 content domains.

Findings
Nearly 80 percent of residents were aware that FGAs and second-generation antipsychotics (SGAs) have similar efficacy. However, extra-pyramidal symptoms and lack of training experience were the leading concerns associated with the prescribing of FGAs. Although over 90 percent of residents felt confident about initiating an oral SGA as a regular medication, only 40 percent did so with FGAs. Confidence with initiating LAIs and clozapine was 60 and 61 percent, respectively.

Practical implications
The survey highlights the need for better training in the use of FGAs, clozapine and LAIs. These medications can be effectively used in providing patients with the most appropriate evidence-based treatment options to improve treatment outcomes, while ensuring that these resources are not lost to the future generations of psychiatrists.

Originality/value
The survey may be the first of its kind to assess antipsychotic prescribing attitudes in Canadian psychiatry residents in multiple sites.
Virtual reality: a new channel in sport consumption
Authors: Rynarzewska Ania Izabela 
Published: November 2018

PurposeThe purpose of this study is to determine which factors affect virtual reality (VR) adoption by sports fans. Second, this paper seeks to evaluate consumer expectations of experience as related to introduction of VR. Based on the technology acceptance model, modified for the purpose of this study, and expectancy value theory, it was hypothesized that the frequency of sports-related information consumption, via different media channels, the expected improvement in the consumption of sports related information after adoption and attitude toward VR positively affect the likelihood of adoption.Design/methodology/approachThe study relied on a quantitative questionnaire design method embedded in Qualtrics online survey tool. In addition, participants were exposed to a 75-s video about VR.FindingsThis study found that attitude toward VR, frequency of sports-related information consumption and expected improvements to information consumption after technology introduction positively affect adoption. The findings encourage adoption of a new channel, as it is likely to improve sports fan experiences related to information seeking and sports service consumption.Originality/valueThis study attempted to explore a relatively untapped area of research in VR usage particularly focusing on sports consumers. Most importantly, this applied study explored whether fans are willing to adopt VR, a relatively new technology that may have a high impact on the sports industry. Finally, this study relied on the modified technology adoption model and attempted to minimize its shortcomings. With that, this study should be viewed as beneficial to both theory and practice.