bluuebunny/crossref_metadata_2025_split huggingface dataset:
Overcoming stakeholder social media fatigue: a trialogue approach
Authors: Seo Youngji , Primovic Marilyn J. , Jin Yan 
Published: October 2019

Purpose
The continuation of rapid changes in Web 2.0 has transformed the practice of business communication and stakeholders’ expectations. This paper aims to paramount one issue facing corporate communicators is stakeholders’ social media fatigue that leads to online disengagement and social media strategy ineffectiveness.

Design/methodology/approach
A systematic review of research literature and a deep dive in the professional reports regarding corporate communication and social media strategies are conducted.

Findings
To tackle the challenge of stakeholder social media fatigue, a conceptual model is provided to guide the development of alternative social media strategies that capitalize on the impact of vicarious interaction and reenergize stakeholders via trialogue based on the corporate-influencer-stakeholder (parasocial) relationships.

Originality/value
A model for overcoming stakeholder social media fatigue via optimizing corporate-influencer-stakeholder (parasocial) relationship is proposed and elaborated, with actionable social media strategies recommended for corporate communicators to use.
Promoting digitally enabled growth in SMEs: a framework proposal
Authors: North Klaus , Aramburu Nekane , Lorenzo Oswaldo Jose 
Published: October 2019

Purpose
The purpose of this paper is to provide guidance to SMEs to sense and seize digitally enabled growth opportunities as well as start a project-based learning process to transform the organization in order to remain competitive in turbulent environments.

Design/methodology/approach
The proposed framework is nurtured from a dynamic capabilities approach as well as from digital transformation studies and mitigates shortcomings of existing frameworks on IT-enabled business transformation. A pilot study has also been carried out for testing the proposed framework.

Findings
The results of the pilot study show that the framework is well understood by SME owners or managers and contributes to a comprehensive perception of digitalization challenges and potentials. The overall maturity level of the 52 companies analyzed is moderate. Firms are better at “sensing” than “seizing”, that is, at identifying digitally based growth opportunities than in profiting from them. The test of the proposed framework also contributes to its further adjustment and refinement.

Practical implications
The developed framework is useful for owners and managers of SMEs as a self-assessment of digital maturity. It sets a baseline regarding the current position and supports coordinated initiatives for digitally enabled growth.

Originality/value
Few frameworks regarding digital maturity have been developed. Most of them lack a sound theoretical foundation and are less suited to the needs of SMEs. There are few studies on digitalization in SMEs and they are not focussed on capabilities development but mostly on processes (Trung Pham 2010; Blatz et al., 2018; Mittal et al., 2018). Therefore, the originality of this paper is to propose a framework that allows SMEs to assess their digital maturity level and the capabilities associated with each level to enhance digitally enabled growth, contributing to expand the research on the relationship between dynamic capabilities and digitalization (Teece, 2017).
An accessible STEM editor customizable for various local languages
Authors: Yamaguchi Katsuhito , Suzuki Masakazu 
Published: October 2019

Purpose
The purpose of this paper is to facilitate the spread of accessible e-books, especially ones of STEM much more in developing countries, an efficient/systematic scheme to localize tools for producing/reading them should be established. Furthermore, even in many advanced countries, Print-disabled people still do not have a good tool to write a content including technical notations such as mathematical formulas in their own local language. This work is aimed at giving a practical solution for those problems.

Design/methodology/approach
Here, multilingual support in a tool to produce accessible STEM contents and its new localization scheme are discussed.

Findings
It is shown that the accessible STEM-document editor can be customized easily for print-disabled people so that they can read and author a material including complicated technical notations in their own local language. The localization for Vietnamese and other various languages actually has been worked on.

Originality/value
The Vietnamese version was completed, and some prototype versions for the other languages were also given. It is expected that the software can contribute to improve STEM accessibility much more in many countries.
Demand forecasting at retail stage for selected vegetables: a performance analysis
Authors: Priyadarshi Rahul , Panigrahi Akash , Routroy Srikanta , Garg Girish Kant 
Published: October 2019

Purpose
The purpose of this study is to select the appropriate forecasting model at the retail stage for selected vegetables on the basis of performance analysis.

Design/methodology/approach
Various forecasting models such as the Box–Jenkins-based auto-regressive integrated moving average model and machine learning-based algorithms such as long short-term memory (LSTM) networks, support vector regression (SVR), random forest regression, gradient boosting regression (GBR) and extreme GBR (XGBoost/XGBR) were proposed and applied (i.e. modeling, training, testing and predicting) at the retail stage for selected vegetables to forecast demand. The performance analysis (i.e. forecasting error analysis) was carried out to select the appropriate forecasting model at the retail stage for selected vegetables.

Findings
From the obtained results for a case environment, it was observed that the machine learning algorithms, namely LSTM and SVR, produced the better results in comparison with other different demand forecasting models.

Research limitations/implications
The results obtained from the case environment cannot be generalized. However, it may be used for forecasting of different agriculture produces at the retail stage, capturing their demand environment.

Practical implications
The implementation of LSTM and SVR for the case situation at the retail stage will reduce the forecast error, daily retail inventory and fresh produce wastage and will increase the daily revenue.

Originality/value
The demand forecasting model selection for agriculture produce at the retail stage on the basis of performance analysis is a unique study where both traditional and non-traditional models were analyzed and compared.
Modeling customer satisfaction and revisit intention in Bangladeshi dining restaurants
Authors: Mannan Mahafuz , Chowdhury Nusrat , Sarker Priodorshine , Amir Riasat 
Published: October 2019

PurposeThe purpose of this study is to provide an insight into the crucial antecedents of customer satisfaction and revisit intention in the context of dining restaurants in a holistic approach, taking Bangladesh as a unit of analysis.Design/methodology/approachThe research design was cross-sectional. Data were collected from 30 dining restaurants in Dhaka city, Bangladesh. The proposed model was tested using partial least square structural equation modeling with a sample size of 600 respondents.FindingsThe antecedents of customer satisfaction (i.e. service quality, food quality, atmospherics, other customers and perceived value/price) were found to have significant positive effects on customer satisfaction. Customer satisfaction and restaurant reputation were found to have significant positive effects on revisit intention, while variety seeking tendency was found to have a significant negative effect on revisit intention. Trust was found to partially mediate the customer satisfaction-revisit intention and restaurant reputation-revisit intention relationships.Originality/valueThis study is among the first to provide a holistic approach toward the crucial antecedents of customer satisfaction (i.e. service quality, food quality, atmospherics, other customers and perceived value) and revisit intention (i.e. customer satisfaction, variety seeking tendency, trust and restaurant reputation) in one structural equation model, and investigated their interrelationships in the context of dining restaurants. To the authors’ knowledge, this is the first study that has investigated the mediating role of trust between the customer satisfaction-revisit intention and restaurant reputation-revisit intention relationships in the context of dining restaurants. From a market-specific context, this the first study to investigate and link the examined variables in the context of Bangladeshi dining restaurants.
Studying the sustainability of third party logistics growth using system dynamics
Authors: Sundarakani Balan , Lai Yin Sian , Goh Mark , de Souza Robert 
Published: October 2019

PurposeIn this Industry 4.0 era, third-party logistics (3PL) industries face huge cost pressure to deliver their service. With increase in competition among the players, constant mergers and acquisitions (M&A) have been taking place to sustain competitive advantage. Therefore, this study aims to investigate the growth dynamics among the 3PL service providers.Design/methodology/approachIn this research, the system dynamics methodology was applied to the study of the growth of 3PL industry in Singapore. A population growth model incorporating the predator–prey interaction is developed to account for growth through M&As among 3PLs and their interaction phenomenon are modeled through modified Lotka–Volterra method. The two-species system model consisting of small and medium logistics service providers (SMLSPs as the prey) and the lead logistics providers (LLPs as the predator) are gauged according to the firm size.FindingsResults from the baseline model indicates that Singapore’s logistics industry looks very optimistic for SMLSPs for another 6 years from 2018, while the LLP population will achieve a peak at about 12 years from 2018. Further sensitivity analysis through macroeconomic and microeconomic changes reveals increase in trend of M&As. By varying competitive pressures between firms, results indicate that the LLP population experiences a decreasing rate of increasing SMLSP population falls.Research limitations/implicationsThe research provides guidance for logistics and supply chain managers to better understand the critical factors that impact and determine competitive dynamics. The paper further recommends managers to build sustainable logistics strategies to retain competitive advantages.Originality/valueThe research contributes to both economic and social dimensions of logistics sustainability of how resilient the industries are during uncertain conditions. Some of the limitations of this research include the geographic coverage of the study region and other methodological aspects. The research value thus helps policymakers for developing strategic policies for sustainable industrial growth.
Coping with customer mistreatment
Authors: Wu Haibo , Wang Xiaohui , Chen Peter 
Published: October 2019

PurposeDrawing on the transaction theory of stress, the purpose of this paper is to conceptualize customer mistreatment as a stressor and examine how job routinization and proactive personality help employees cope with the effects of customer mistreatment on emotional exhaustion and work engagement. The interaction of job routinization and proactive personality was also tested.Design/methodology/approachIn total, 128 hundred nurses were recruited to participate in the current study, which was a daily survey for two consecutive weeks (10 working days).FindingsThe results revealed that job routinization and proactive personality attenuated the effects of customer mistreatment on emotional exhaustion and work engagement. The analyses also showed that, with more proactive personality and high job routinization, the effects of customer mistreatment were minimized.Originality/valueJob routinization is a type of job resources that attenuates the negative influence of customer mistreatment. Proactive personality strengthens job routinization’s function, when proactive personality and job routinization are both high, the ill effect of customer mistreatment will be minimized.
How does abusive supervision restrict employees’ feedback-seeking behavior?
Authors: Shen Chuangang , Yang Jing , He Peixu , Wu Yenchun Jim 
Published: October 2019

PurposeThe purpose of this paper is to explore the restrictive effect of abusive supervision on employees’ feedback-seeking behavior (FSB) through organizational-based self-esteem (OBSE) and the moderation of this mediation by leader-member exchange (LMX).Design/methodology/approachThis study conducted hierarchical regression and path analysis to analyze the 312 manager–employee dyads data gathered from five companies in China.FindingsThe authors found that abusive supervision had a detrimental effect on employee FSB, partially through OBSE, and that both the direct and indirect effects were moderated by LMX.Practical implicationsOrganizations should seek to inhibit supervisors’ abusive behavior in the workplace. Supervisors should not occasionally mistreat subordinates with whom they have a good relationship.Originality/valueThis study reveals the underlying influence mechanism of abusive supervision on employee FSB using the self-concept theory and suggests that OBSE is critical in determining how abusive supervision influences employee FSB. Furthermore, LMX quality (especially high LMX) moderates the above mediation.
Research on relationship between government innovation funding and firms value creation using clustering-rough sets
Authors: Zhu Weidong , Tian Yufei , Hu Xue , Ku Quan , Dai Xiaoya 
Published: October 2019

PurposeThe purpose of this paper is to reveal the pattern between government innovation funding and enterprise value creation. Many factors, including government innovation funding, R&D ability, corporate governance and some company characteristics significantly affected the efficiency of firm value creation.Design/methodology/approachThis paper proposed a novel methodology based on clustering-rough sets to explore the characteristics of enterprise value creation behavior, and map the relationship between government innovation funding and enterprise value creation. The agglomerative hierarchical clustering (AHC) algorithm were used to classify firm performance and get two types of value creation efficiencies and to discretize condition attributes because the rough set theory cannot deal with continuous attributes. This paper utilized the rough sets method to realize data mining and get rules of government innovation funding and enterprise value creation.FindingsR&D ability, proportion of independent directors, remuneration of directors, operating revenue, number of employees, price-earnings ratio, quick ratio, capital intensity and ROA were important to identify firm value creation efficiency when government funded the firms. Firms of high level of government innovation funding, high lagged R&D ratio, high remuneration of directors, low price-earnings ratio, low quick ratio, moderate capital intensity and high ROA were more likely to have high efficiency of value creation.Originality/valueSince China implemented the innovation-driven development strategy, facilitating enterprise innovation has become an important way to achieve high-quality economic growth. With constantly increasing of Chinese government innovation funding, studying on the effect of government innovation funding on firm’s value creation is significant to improve the efficiency of government resource allocation. It is valuable to reveal the pattern between government innovation funding and enterprise value creation based on the value added theory. The rules obtained could be used to provide decision-making support to improve the efficiency of government innovation funding and prevent waste of government resources effectively.
Sensitivity of dryland plant allometry to climate
Authors: Rudgers Jennifer A. , Hallmark Alesia , Baker Stephanie R. , Baur Lauren , Hall Kristofer M. , Litvak Marcy E. , Muldavin Esteban H. , Pockman William T. , Whitney Kenneth D. 
Published: October 2019

Abstract

Patterns of plant biomass partitioning are fundamental to estimates of primary productivity and ecosystem process rates. Allometric relationships between above‐ground plant biomass and non‐destructive measures of plant size, such as cover, volume or stem density are widely used in plant ecology. Such size‐biomass allometry is often assumed to be invariant for a given plant species, plant functional group or ecosystem type.

Allometric adjustment may be an important component of the short‐ or long‐term response of plants to abiotic conditions. We used 18 years of size‐biomass data describing of 85 plant species to investigate the sensitivity of allometry to precipitation, temperature or drought across two seasons and four ecosystems in central New Mexico, USA.

Size‐biomass allometry varied with climate in 65%–70% of plant species. Closely related plant species had similar sensitivities of allometry to natural spatiotemporal variation in precipitation, temperature or drought. Annuals were less sensitive than perennials, and forbs were less sensitive than grasses or shrubs. However, the differences associated with plant life history or functional group were not independent of plant evolutionary history, as supported by the application of phylogenetically independent contrasts.

Our results demonstrate that many plant species adjust patterns in the partitioning of above‐ground biomass under different climates and highlight the importance of long‐term data for understanding functional differences among plant species.

A free Plain Language Summary can be found within the Supporting Information of this article.
Food Safety Interventions to Control Listeria monocytogenes in the Fresh Apple Packing Industry: A Review
Authors: Pietrysiak Ewa , Smith Stephanie , Ganjyal Girish M 
Published: October 2019

AbstractListeria monocytogenes, in fresh and ready‐to‐eat produce such as whole fresh apples, is of concern as there is no “kill step” in their packing process that would eliminate the pathogenic bacteria. Recent listeriosis outbreaks revealed that insufficient cleaning and sanitation practices in fresh apple packing houses may lead to contamination of fruit with L. monocytogenes. This article discusses three fundamental aspects for ensuring microbiological safety of fresh apples: protection of fresh apples from microbial contamination during the packing process, decontamination intervention techniques, and the challenges in removal of L. monocytogenes from fresh apples. Currently used and novel methods of fresh produce decontamination are discussed and evaluated on their usefulness for the apple packing process. Additionally, present regulatory requirements, possible routes of produce contamination, and bacteria attachment and survival mechanisms are described. Optimum methods for microbial decontamination of whole fresh apples are still to be determined. Critical aspects that should be considered in developing the interventions include apple morphology, conditions and scale of the packing process, and influence of the interventions on apple quality. Evaluation of the currently used and emerging decontamination methods indicated that the hurdle technology and rotating use of sanitizers to avoid development of bacterial biofilm resistance may give the best results, although not conclusively.
Evaluation Methods of Profitable Tight Oil Reservoir of Lacustrine Coquina: A Case Study of Da'anzhai Member of Jurassic in the Sichuan Basin
Authors: PANG Zhenglian , TAO Shizhen , ZHANG Qin , ZHANG Bin , ZHANG Tianshu , YANG Xiaoping , WU Yinye , FAN Jianwei , YUAN Miao 
Published: October 2019

AbstractBased on core observation, cast and fluorescent thin sections, FESEM and ESEM, coquina in Da'anzhai Member of Jurassic in Sichuan Basin were examined systematically. Together with production data and logging evaluation, a method for lacustrine coquina evaluation based on geological theory was established up. In the article, two aspects of the study were elaborated, characteristics of favorable reservoirs, and a “five‐step” evaluation method for favorable coquina reservoir. According to the correlation between porosity and production data, porosity is not effective in finding high quality coquina reservoir of this area. Whereas micro research of reservoir samples from a high productivity well revealed that sparry coquina is the best lithofacies, with the most developed micro storage space of various kinds. After the favorable reservoir was sorted out, a five‐step method evaluating the coquina reservoir was worked out. Correlation of GR value and rock types suggests that GR<30 API is an effective evaluation parameter in identifying profitable reservoir lithofacies. Meanwhile, the combination of profitable reservoir rock thickness and production data revealed that the reservoirs with the highest potentiality are those with thickness of 3–18 m. Fractures are more developed in faults, folds and structural noses in the study area. Organic acid is discharged massively before the peak of hydrocarbon generation, leading to the formation of dissolution pores in the reservoir. The evaluation of organic acid was made by using the source rock indexes. After evaluating the four factors, and compiling their distribution maps, the maps were overlapped to predict favorable reservoir zones, and 7 first class and 9 second class favorable zones of coquina were picked out.
Timing and Processes of Ore Formation in the Qingchengzi Polymetallic Orefield, Northeast China: Evidence from40Ar/39Ar Geochronology
Authors: WANG Yinzhi , WANG Fei , SHI Wenbei , YANG Liekun , WU Lin 
Published: October 2019

AbstractThe Qingchengzi orefield is a large polymetallic ore concentration area in the Liaodong peninsula, northeastern China, that includes twelve Pb‐Zn deposits and five Au‐Ag deposits along its periphery. The ore‐forming age remains much disputed, which prevents the identification of the relationship between the mineralization and the associated magmatism. In this paper, we quantitatively present the feasibility of making ore mineral40Ar/39Ar dating and report reliable40Ar/39Ar ages of lamprophyre groundmass, K‐feldspar and sphalerite from the Zhenzigou deposit. Direct and indirect methods are applied to constrain the timing of mineralization, which plays a vital role in discussing the contribution of multistage magmatism to ore formation. The low‐potassium sphalerite yielded an inverse isochron age of 232.8±41.5 Ma, which features a relatively large uncertainty. Two lamprophyre groundmasses got reliable inverse isochron ages of 193.2±1.3 Ma and 152.3±1.5 Ma, respectively. K‐feldspar yielded a precise inverse isochron age of 134.9±0.9 Ma. These four ages indicate that the mineralization is closely associated with Mesozoic magmatism. Consequently, regarding the cooling age of the earliest Mesozoic Shuangdinggou intrusion (224.2±1.2 Ma) as the initial time of mineralization, we can further constrain the age of the sphalerite to 224–191 Ma. These new and existing geochronological data, combined with the interaction cutting or symbiotic relationship between the lamprophyre veins and ore veins, suggest that the Pb‐Zn‐Au‐Ag mineralization in the Qingchengzi orefield mainly occurred during three periods: the late Triassic (ca. 224–193 Ma), the late Jurassic (ca. 167–152 Ma) and the early Cretaceous (ca. 138–134 Ma). This polymetallic deposits are shown to have been formed during multiple events coinciding with periods of the Mesozoic magmatic activity. In contrast, the Proterozoic magmatism and submarine exhalative and hydrothermal sedimentation in the Liaolaomo paleorift served mainly to transport and concentrate the ore‐forming substances at the Liaohe Group with no associated Pb‐Zn‐Au‐Ag mineralization.