bluuebunny/crossref_metadata_2025_split huggingface dataset:
The prioritization of technologies and public R&D roles between the manufacturing and service industries in the fourth industrial revolution
Authors: Kang Jinwon , Kim Jong-Seok , Seol Seonmi 
Published: October 2019

PurposeThe purpose of this study is to reveal the similarities and differences between the manufacturing and service industries in their prioritization of technologies and public research and development (R&D) roles, along with the complementation of properties of technology and public R&D role in the context of Fourth Industrial Revolution.Design/methodology/approachTwo rounds of Delphi surveys were designed to meet the purpose of this study, which used rigorous triangulation techniques. The Delphi method was combined with the brainstorming method in the first-round Delphi survey, while the second-round Delphi survey focused on experts’ judgments. Finally, language network analysis was performed on the properties of technology and public R&D roles to complement the data analyses regarding prioritization.FindingsThis study identifies different prioritizations of five similar key technologies in each industry, so that it can note different technological impacts to the two industries in the Fourth Industrial Revolution. Smart factory technology is the first priority in the manufacturing industry, whereas artificial intelligence is the first priority in the service industry. The properties of the three common technologies: artificial intelligence, big data and Internet of things in both industries are summarized in hyper-intelligence on hyper-connectivity. Moreover, it is found that different technological priorities in the service and manufacturing industries require different approaches to public R&D roles, while public R&D roles cover market failure, system failure and government failure. The highest priority public R&D role for the service industry is the emphasis of non-R&D roles. Public R&D role to solve dy-functions, focus basic technologies and support challenging areas of R&D is prioritized at the highest for the manufacturing industry.Originality/valueThis study of the different prioritizations of technologies in the manufacturing and service industries offers practical lessons for executive officers, managers and policy-makers. They, by noting the different technological impacts in the manufacturing and service industries, can prepare for current actions and establish the priority of technology for R&D influencing the future paths of their industries in the context of the Fourth Industrial Revolution. While managers in the service industry should pay greater attention to the technological content of hyper-intelligence and hyper-connectivity, managers in the manufacturing industry should consider smart factory and robot technology.
A multi-scenario assessment of the seismogenic tsunami hazard for Bangladesh
Authors: Wijetunge Janaka J. 
Published: October 2019

PurposeThis paper aims to describe a multi-scenario assessment of the seismogenic tsunami hazard for Bangladesh from active subduction zones in the Indian Ocean region. Two segments of the Sunda arc, namely, Andaman and Arakan, appear to pose a tsunamigenic seismic threat to Bangladesh.Design/methodology/approachHigh-resolution numerical simulations of tsunami propagation toward the coast of Bangladesh have been carried out for eight plausible seismic scenarios in Andaman and Arakan subduction zones. The numerical results have been analyzed to obtain the spatial variation of the maximum tsunami amplitudes as well as tsunami arrival times for the entire coastline of Bangladesh.FindingsThe results suggest that the tsunami heights are amplified on either side of the axis of the submarine canyon which approaches the nearshore sea off Barisal in the seaboard off Sundarban–Barisal–Sandwip. Moreover, the computed tsunami amplitudes are comparatively higher north of the latitude 21.5o in the Teknaf–Chittagong coastline. The calculated arrival times indicate that the tsunami waves reach the western half of the Sundarban–Barisal–Sandwip coastline sooner, while shallow water off the eastern half results in a longer arrival time for that part of the coastline, in the event of an earthquake in the Andaman seismic zone. On the other hand, most parts of the Chittagong–Teknaf coastline would receive tsunami waves almost immediately after an earthquake in the northern segment of the Arakan seismic zone.Originality/valueThe present assessment includes probabilistic measures of the tsunami hazard by incorporating several probable seismic scenarios corresponding to recurrence intervals ranging from 25 years to over 1,000 years.
Symmetric and asymmetric modeling of entrepreneurial ecosystem in developing entrepreneurial intentions among female university students in Saudi Arabia
Authors: Ali Imran , Ali Murad , Badghish Saeed 
Published: October 2019

Purpose
Unlike previous studies that examine the role of different entrepreneurial ecosystem factors in predicting entrepreneurial intentions. The purpose of this study is to explain the direct effects of entrepreneurial ecosystem factors effecting entrepreneurial intentions and configurational combinations of entrepreneurial ecosystem factors that cause high or low entrepreneurial intentions among female university students in Saudi Arabia.

Design/methodology/approach
The study used structured survey-questionnaire based data collected from 310 female students enrolled in different universities in Saudi Arabia. The study used symmetric analysis using structural equation modeling technique, whereas asymmetric analysis is performed using the fuzzy-set qualitative comparative analysis, necessary condition analysis is also used to identify the role of different entrepreneurial ecosystem factors in increasing and/or decreasing entrepreneurial intentions among young Saudi women.

Findings
The results of symmetrical analysis show that access to finance, access to physical infrastructure, and cultural factors are not significantly associated with entrepreneurial intentions, whereas government policies and regulations, government programs and support, social factors and entrepreneurship education and training are significantly associated with the development of entrepreneurial intentions among female Saudi university students. While the result of asymmetrical analysis provides 15 configurational models that explains the high levels of certain factors to predict entrepreneurial intentions among female university students in Saudi Arabia. Specifically, social support is found as necessary condition in majority of models to predict high levels of entrepreneurial intentions among female Saudi university students.

Practical implications
The results of the study provide empirical evidence to policymakers in Saudi Arabia. The study proposes that it is not mandatory that the high levels of all entrepreneurial ecosystem factors are important to predict high entrepreneurial intentions, rather in some conditions the low levels of certain factors are obligatory to predict high levels of entrepreneurial intentions.

Originality/value
Two-step mix-method approach is used in this study containing analysis of symmetric within entrepreneurial ecosystem increase or decrease entrepreneurial intentions among female university students in Saudi Arabia. There has been plenty of research that examines the role of entrepreneurial ecosystem factors in development of university students’ entrepreneurial intentions, however there is less research evident in the entrepreneurship literature that examine the configurational effects of factors within entrepreneurial ecosystem in increasing and/or decreasing entrepreneurial intentions among female university students.
Performance evaluation of table type RFID reader for library automatic book identification
Authors: Fujisaki Kiyotaka 
Published: October 2019

Purpose
The purpose of this paper is to evaluate the performance of table type radio frequency identification (RFID) reader and verify the effect of the use of a parasitic element on the table type RFID reader to increase the communication performance and improve the automatic identification of books in the library.

Design/methodology/approach
In this study, the authors observe the magnetic field at each point on the reader by using a small probe antenna and evaluate the reading performance of table type RFID reader at each point on the reader by using a RFID tag. Furthermore, to increase the communication performance, they add a parasitic element on the table type RFID reader and evaluate its usefulness.

Findings
The power distribution on the table type RFID reader and the communication performance of the table type REID reader were clearly shown. From the experiments of the magnetic field observation, when the coil surface of a tag is put in the parallel with the antenna plane of the reader, the tag can obtain electric power from the reader most effectively. Furthermore, by using a loop coil between the reader and the tag as a parasitic element, the points where communication is enabled with tag increased as the number of turns of coil increased.

Originality/value
In this research work, the author clearly showed the table type RFID reader’s performance by experiment. Moreover, to increase the communication performance, the author proposed to add a parasitic element to the table type RFID leader.
Capital regulation and ownership structure on bank risk
Authors: Siddika Aysa , Haron Razali 
Published: October 2019

Purpose
This paper aims to examine the impact of capital regulation, ownership structure and the degree of ownership concentration on the risk of commercial banks.

Design/methodology/approach
This study uses a sample of 565 commercial banks from 52 countries over the period of 2011-2015. A dynamic panel data model estimation using the maximum likelihood with structural equation modelling (SEM) was followed considering the panel nature of this study.

Findings
The study found that the increase of capital ratio decreases bank risk and the regulatory pressure increases the risk-taking of the bank. No statistically significant relationship between banks’ ownership structure and risk-taking was found. The concentration of ownership was found negatively associated with bank risk. Finally, the study found that in the long term, bank increases the capital level that decreases the default risk.

Originality/value
This study presents an empirical analysis on the global banking system focusing on the Basel Committee member and non-member countries that reflect the implementation of Basel II and Basel III. Therefore, it helps fill the gap in the banking literature on the effect of recent changes in the capital regulation on bank risk. Maximum likelihood with SEM addresses the issue of endogeneity, efficiency and time-invariant variables. Moreover, this study measures the risk by different proxy variables that address total, default and liquidity risks of the banks. Examining from a different perspective of risk makes the study more robust.
A deterministic inventory model in reverse supply chain
Authors: Mohapatra Sasmita , Behera Ajay Kumar , Mahapatra Rabindra , Das Harish 
Published: October 2019

Purpose
The purpose of this paper is to present a unique model for the production–recycling–reuse of aluminium refreshment cans. It is presumed that disposed-off 250-ml aluminium cans are collected from the retail outlet. The cans are thereafter arranged into non-tainted and tainted categories.

Design/methodology/approach
The current model considers all the factors, i.e. producing, recycling and remanufacturing, whereas the previous models provide emphasis only one factor. Six procedures were considered in the improvement of the mathematical model.

Findings
In this paper, a recycling–reuse model that remanufactures non-tainted aluminium beverage cans and uses regrind from damaged non-tainted aluminium beverage cans mixed with parent aluminium material in the production of new cans was developed and analysed to reduce the amount of aluminium beverage cans that are disposed off in a scrapyard. The model is assumed to have no shortcomings, and the different percentages regarding the classes of cans are taken to be deterministic.

Originality/value
The model incorporates several unique aspects, including accounting for the cost of land use and associated environmental damage through the calculation of a present value that is charged to the manufacturer.
Simultaneous balancing and worker assignment problem for mixed-model assembly lines in a make-to-order environment considering control points and assignment restrictions
Authors: Tanhaie Fahimeh , Rabbani Masoud , Manavizadeh Neda 
Published: October 2019

Purpose
In this study, a mixed-model assembly line (MMAL) balancing problem is applied in a make-to-order (MTO) environment. One of the important problems in MTO systems is identifying the control points, which is considered by designing a control system. Furthermore, the worker assignment problem is defined by considering abilities and operating costs of workers. The proposed model is solved in two stages. First, a multi-objective model by simultaneously minimizing the number of stations and the total cost of the task duplication and workers assignment is considered. The second stage is designing a control system to minimize the work in process.

Design/methodology/approach
To solve this problem, a non-dominated sorting genetic algorithm (NSGA-II) is introduced and the proposed model is compared with four multi-objective algorithms (MOAs).

Findings
The proposed model is compared with four MOAs, i.e. multi-objective particle swarm optimization, multi-objective ant colony optimization, multi-objective firefly algorithm and multi-objective simulated annealing algorithm. The computational results of the NSGA-II algorithm are superior to the other algorithms, and multi-objective ant colony optimization has the best running time of the four MOA algorithms.

Practical implications
With attention to workers assignment in a MTO environment for the MMAL balancing problem, the present research has several significant implications for the rapidly changing manufacturing challenge.

Originality/value
To the best of the authors’ knowledge, no study has provided for the MMAL balancing problem in a MTO environment considering control points. This study provides the first attempt to fill this research gap. Also, a usual assumption in the literature that common tasks of different models must be assigned to a single station is relaxed and different types of real assignment restrictions like resource restrictions and tasks restrictions are described.
Frontline backlash: service employees’ deviance from digital processes
Authors: Christ-Brendemühl Sonja , Schaarschmidt Mario 
Published: October 2019

PurposeThe purpose of this study is to investigate how the implementation of digital interfaces into service encounters is transforming demands toward frontline service employees. In addition to having the potential to enhance employee–customer interactions, changes related to new technologies can be perceived as stressful by employees and might foster deviation from prescribed processes.Design/methodology/approachUsing the transactional theory of stress and coping as a theoretical framework, this paper aims to develop and test a research model to investigate the influence of technology-induced role ambiguity on constructive and destructive process deviance. Data were collected via an online survey of 123 frontline service employees in restaurants that have online reservation systems in use.FindingsThe results confirm that employee resistance to change fosters role ambiguity, while self-efficacy reduces the latter. Technology-induced role ambiguity leads to both constructive and destructive process deviance.Originality/valueBy revealing the above relationships, this study contributes to research in services marketing by examining two types of employees’ deviance from customer-facing processes.
An integrated supplier selection approach incorporating decision maker’s risk attitude using ANN, AHP and TOPSIS methods
Authors: Yu Chunxia , Zou Zhiqin , Shao Yifan , Zhang Fengli 
Published: October 2019

Purpose
The purpose of this paper is to develop a novel integrated supplier selection approach incorporating decision maker’s risk attitude using the artificial neural network (ANN), analytic hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS) methods.

Design/methodology/approach
In the proposed approach, the ANN model is used to classify decision maker’s risk attitude; the fuzzy AHP method is used to determine the relative weights of evaluation criteria; and the fuzzy TOPSIS method is used to evaluate ratings of suppliers. Finally, experiments are conducted to verify the feasibility and efficiency of the proposed integrated approach.

Findings
Experiments results show that the proposed integrated approach is effective and efficient to help decision makers to select suitable suppliers according to their risk attitudes.

Originality/value
The aim of this paper is to develop a novel integrated supplier selection approach incorporating decision maker’s risk attitude using the ANN, AHP and TOPSIS methods. The decision maker’s risk attitude toward procurement transaction is originally considered in supplier selection process.
A grid model to address the behaviour of the nodes in the dissemination of information
Authors: Signes-Pont María Teresa , Mora Higinio , Cortés-Castillo Antonio , Mollá-Sirvent Rafael 
Published: October 2019

Purpose
This paper aims to present a framework to address the impact of people’s behaviour in the dissemination of information through mobile social networks.

Design/methodology/approach
This approach follows the epidemical compartmental models and uses a grid to model the nodes’ (people) behaviour in the dissemination process. The nodes’ status is determined by binary rules that update and define the flow of information between neighbour nodes. An improved stacked-layer grid model is used to implement modulations in the application of the rules and neighbourhoods to model the impact of people’s attitude, which may improve or jeopardize the efficiency of the process.

Findings
This proposal shows how grid architecture is a valuable tool to model different causes of malfunction of data dissemination. Combining different grids with different neighbourhoods and different local rules provides a wide range of possibilities to depict the impact of human awareness and decision on the dissemination of data.

Originality/value
This works develops a new approach for the analysis of dissemination of information which add new features to traditional methods for modelling local interactions and describing the dynamics of the communication patterns in the population.
Recognizing activities of the elderly using wearable sensors: a comparison of ensemble algorithms based on boosting
Authors: Wu Yuchuan , Qi Shengfeng , Hu Feng , Ma Shuangbao , Mao Wen , Li Wei 
Published: October 2019

Purpose
In human action recognition based on wearable sensors, most previous studies have focused on a single type of sensor and single classifier. This study aims to use a wearable sensor based on flexible sensors and a tri-axial accelerometer to collect action data of elderly people. It uses a statistical modeling approach based on the ensemble algorithm to classify actions and verify its validity.

Design/methodology/approach
Nine types of daily actions were collected by the wearable sensor device from a group of elderly volunteers, and the time-domain features of the action sequences were extracted. The dimensionality of the feature vectors was reduced by linear discriminant analysis. An ensemble learning method based on XGBoost was used to build a model of elderly action recognition. Its performance was compared with the action recognition rate of other algorithms based on the Boosting algorithm, and with the accuracy of single classifier models.

Findings
The effectiveness of the method was validated by three experiments. The results show that XGBoost is able to classify nine daily actions of the elderly and achieve an average recognition rate of 94.8 per cent, which is superior to single classifiers and to other ensemble algorithms.

Practical implications
The research could have important implications for health care, including the treatment and rehabilitation of the elderly, and the prevention of falls.

Originality/value
Instead of using a single type of sensor, this research used a wearable sensor to obtain daily action data of the elderly. The results show that, by using the appropriate method, the device can obtain detailed data of joint action at a low cost. Comparing differences in performance, it was concluded that XGBoost is the most suitable algorithm for building a model of elderly action recognition. This method, together with a wearable sensor, can provide key data and accurate feedback information to monitor the elderly in their rehabilitation activities.
Understanding the social construction of crises: Comparing the crisis‐as‐claim model with securitization theory
Authors: Kalkman Jori Pascal 
Published: October 2019

AbstractSpector (2019) introduced the crisis‐as‐claim model to analyze the social construction of crises. Securitization theory offers insights that can complement this crisis‐as‐claim model. Both approaches share an interest in the crisis declarations of actors, the motivations behind such claims, and the public's evaluations of crisis claims. In addition, securitization theory helps us to understand how various actors negotiate crisis declarations, how certain practices can constitute a crisis reality, and how crisis perceptions enable the use of exceptional crisis response measures.
Understanding motivated publics during disasters: Examining message functions, frames, and styles of social media influentials and followers
Authors: Zhao Xinyan , Zhan Mengqi Monica , Liu Brooke Fisher 
Published: October 2019

AbstractThere has been a growing body of research regarding how organizations and general publics communicate on social media during crises. Integrating the uses and gratifications perspective, the social‐mediated crisis communication model, and the framing approach, our study offers a consolidated framework explaining how and why motivated social media publics communicate during crises. Namely, we examined whether and how influentials and followers employed different message functions through communicative devices including frames and styles. A content analysis was conducted on 800 tweets sampled from influentials and followers discussing the 2017 Ariana Grande concert bombing disaster. Our results (N = 800) suggested that influentials and followers adopted distinct communicative functions on social media during the disaster. Influentials engaged in information sharing and support exchange, whereas followers engaged in opinion expression and emotional coping. Influentials and followers also adopted specific frames and styles to achieve these communicative functions. Our findings can help crisis communicators understand the needs, concerns, and communication features of different publics and construct effective messages to reach them.