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As the concentration of environmental samples was generally very low and existing analytical instruments had limited sensitivity, developing mini pre-treatment systems for effectively concentrating the components was very important and necessary. The purposed of this paper is to develop mini pretreatment system integrated with micro pre-concentrator and micro GC column.

In this work, a mini pre-treatment system integrated with a micro pre-concentrator and a micro gas chromatograph (GC) column was proposed. The micro pre-concentrator filled with single-walled carbon nanotubes as adsorbent materials was able to effectively concentrate the trace environmental sample, which dramatically improved the response of detectors. In addition, instead of conventional columns, micro GC columns were able to effectively separate gas mixtures, which are able to overcome low resolution and poor anti-interference ability of portable instruments.

The results demonstrated that the proposed pre-treatment system was able to concentrate the trace sample with a concentration factor of 15 and effectively separate the gas mixtures with a resolution over 1.5.

A mini pre-treatment system integrated with a micro pre-concentrator and a micro GC column was proposed.

The purpose of this paper is to explore factors influencing social media usage effectiveness of publishing-related entities and discuss the differences between publishing-related individuals and organizations in their usage of social media and the differences between commercial organizations and public service organizations (such as libraries).

This paper studied 546 publishing-related entities’ accounts on the leading Chinese social media and built a theoretical model for the usage of social media by publishing-related entities. Furthermore, it examined the influencing factors from two aspects: power of influence of an entity (entity influence) and the relational interaction of a publishing-related entity with its audience (interactive relationship).

The study found that for publishing-related individual users of social media, entity influence has a greater positive effect on the effectiveness of social media usage than on the effect of interactive relationship. For publishing-related commercial organizations, the entity influence and interactive relationship have equal impacts on the effectiveness of social media usage. It is also found that interactive relationship has a stronger positive effect on the usage effectiveness of social media, especially for publishing-related public service organizations.

This research fills the gap in the research of comparative analysis in the understanding of social media usage by individuals and organizations related to publishing activities. Moreover, it has tried to propose a theoretical model that can help promote the effectiveness of social media usages by various publishing-related entities and their business strategies.

This study aims to provide a literature review and bibliometric analysis of sustainable supply chain management using big data. We reviewed the literature on sustainable supply chain management under big data from 2012 to 2019 and extracted 777 articles.

We conducted quantitative analysis and data network visualization of the chosen literature, including authors, journals, countries, research institutions and citations.

We discovered that the development of this interdisciplinary field has gained increasing popularity among researchers around the world, such as China and the US publishing the most articles and Western states having more cooperation, which indicates this research topic is growing in significance globally.

Scientific and technological revolutions such as big data have been incorporated in various industries. Modern supply chain management has also been combined with the advances in data science to achieve sustainability goals. No studies have reviewed the sustainable supply chain management based on big data. This study fills this gap.

The aim of this study was to conduct a primary examination of people’s perceptions toward the concept of selling of naming rights for publicly owned sports facilities in Greece to explore the possibilities for this sponsorship practice to be introduced in the future.

In all, 410 research participants filled out a questionnaire that focused on the level of acceptance, in relation to variations of agreements, and considering decision outcomes scenarios, as also on other naming rights parameters, such as sponsors’ fit features. A modification of methods used in previous research in the context of consumers’ price perceptions in sport was adopted to investigate the potential effects from the provision of decision outcomes messages.

The research findings indicated that, in terms of acceptance from the public, there might be grounds to implement this type of sponsorship. It is suggested that an optimal way of introducing the concept should be with marketing campaigns outlining the main purpose and the prospective benefits.

Possibly, the participants perceived the prospect and scenarios provided as not very likely to happen and this might influence their responses. Future research should investigate the effects of other factors, such as attitudes toward commercialization, stadium identification and perceived financial status.

The study provides a basis for the consideration of naming rights as a sponsorship option for public sports facilities in Greece, and also offers a new perspective in the use of treatment messages as a tool for altering potential negative perceptions.

This study proposes marketing strategies for global fast-moving consumer good (FMCG) brands to survive and thrive in the turbulent economic environment created by COVID-19. The authors investigate the indirect effects of consumer ethnocentrism (CET) and consumer confidence (CC) on customer equity drivers (CEDs)’ effectiveness in influencing repurchase intention (RI) for global FMCG brands.

This study uses the mall-intercept technique. Respondents were randomly approached at popular retail and shopping destinations in Athens, Greece, and 228 customer participants completed the survey.

CET and CC weaken the positive relationship between certain CEDs and RI of FMCG brands. Particularly, the effects of relationship equity (RE) and value equity (VE) on strengthening repeated purchases are higher for low-confidence or low-ethnocentric consumers. Thus, marketing strategies for enhancing value and creating stronger consumer–brand relationships are more effective in boosting repeated purchases during economic turbulence.

Practitioners and academicians can use the insights obtained from this study to determine how to allocate resources and adopt the most effective marketing strategies in local environments based on consumer preference for domestic or global products and consumer morale and expectations for future financial status.

This research unveils the mechanism behind the moderating effects of CET and CC on the effectiveness of CEDs in global FMCG settings using social identity and system justification theory. Turbulence in international and local markets due to the pandemic has revealed that marketing function needs to redesign strategies and coordinate practices to boost repeat purchases.

Purpose – This chapter gives an overview of methods for defining and analysing crash severity.

Methodology – Commonly used methods for defining crash severity are surveyed and reviewed. Factors commonly found to be associated with crash severity are discussed. Approaches for formulating and estimating models for predicting crash severity are presented and critiqued. Two examples of crash severity modelling exercises are presented and findings are discussed. Suggestions are offered for future research in crash severity modelling.

Findings – Crash severity is usually defined according to the outcomes for the persons involved. The definition of severity levels used by law enforcement or crash investigation professionals is less detailed and consistent than what is used by medical professionals. Defining crash severity by vehicle damage can be more consistent, as vehicle response to crash forces is more consistent than that of humans. Factors associated with crash severity fall into three categories – human, vehicle/equipment and environmental/road – and can apply before, during or after the crash event. Crash severity can be modelled using ordered, nominal or several different types of mixed models designed to overcome limitations of the ordered and nominal approaches. Two mixed modelling examples demonstrate better prediction accuracy than ordered or nominal modelling.

Research Implications – Linkage of crash, roadway and healthcare data sets could create a more accurate picture of crash severity. Emerging statistical analysis methods could address remaining limitations of the current best methods for crash severity modelling.

Practical Implications – Medical definitions of injury severity require observation by trained medical professionals and access to private medical records, limiting their use in routine crash data collection. Crash severity is more sensitive to human and vehicle factors than environmental or road factors. Unfortunately, human and vehicle factor data are generally not available for aggregate forecasting.

With the rapid development of social media in the past few years, some dark aspects of usage have appeared, e.g., Weibo addiction. Therefore, the purpose of this paper is to address the question of how Weibo keeps users hooked.

The study utilizes the netnography method to explore the symptoms of Weibo addiction and how it is formed.

First, some Weibo users have typical symptoms of addictive behavior, such as withdrawal, loss of control and general living problems; second, narcissism plays an important role in the process of Weibo addiction and has a stronger effect on content generation than content consumption; third, some users use Weibo as a means to alleviate anxiety, but they can then become more anxious owing to addiction; and fourth, the effect of comments has two sides – on the one hand, comments are one kind of feedback to posts, satisfying posters’ social needs, while on the other hand, a storytelling system consists of one post and its comments, upon which some Weibo users become more dependent.

This research is only a preliminary, exploratory study. Therefore, care should be taken when interpreting these findings.

This study should help social media service providers and users to pay attention to the risk of social media addiction. Social media service providers should take social responsibility, design more user-oriented guidelines for marketing ethics and launch more responsible marketing activities. Users should enhance self-control and better balance social media use and offline real life.

Netnography has not been widely used as an addictive behavior research technique. This study is further bolstered because it has also noticed the difference of addiction mechanisms between addictive micro-bloggers and their followers.

The purpose of this study is to present a methodology for enhancing the quality and usefulness of online reviews for prospective customers to investigate how this contemporary form of instrumental support can be facilitated to strengthen customer-to-customer support.

This study develops an analytics framework with applications of machine learning models using customer review data from Amazon.com. Linear regression is commonly used for review helpfulness and sales prediction. In this study, Random Forest model is applied because of its strong performance and reliability. To advance the methodology, a custom script in Python is created to generate Partial Dependence Plots for intensive exploration of the dependency interpretations of review helpfulness and sales. The authors also apply K-Means to cluster reviewers and use the results to generate reviewer qualification scores and collective reviewer scores, which are incorporated into the review facilitation process.

The authors find the average helpfulness ratio of the reviewer as the most important determinant of reviewer qualification. The collective reviewer qualification for a product created based on reviewers’ characteristics is found important to customers’ purchase intentions and can be used as a metric for product comparison.

The findings of this study suggest that service improvement efforts can be performed by developing software applications to monitor reviewer qualifications dynamically, bestowing a badge to top quality reviewers, redesigning review sorting interfaces and displaying the consumer rating distribution on the product page, resulting in improved information reliability and consumer trust.

This study adds to the research on customer-to-customer support in the service literature. As customer reviews perform as a contemporary form of instrumental support, the authors validate the determinants of review helpfulness and perform an intensive exploration of its dependency interpretation. Reviewer qualification and the collective reviewer qualification scores are generated as new predictors and incorporated into the helpfulness-based review facilitation services.

China adopted its new Accounting Standards for Business Enterprises No. 6 in 2007, which substantially converges with the International Financial Reporting Standards. It stipulates that firms operating in China shall capitalize development costs provided specific criteria have been met. This paper aims to examine the effects of the new accounting policies of R&D on the value-relevance and stock performance of 36,299 Chinese firms-years from 2007 to 2020.

A comprehensive multi-stage analysis was conducted. Multiple linear regressions were performed on the pooled cross-sectional time-series total R&D, capitalized expenditures, expensed costs and other key financial factors to test for the effects of R&D on the stock prices, contemporaneous stock returns and subsequent stock returns for the full sample, capitalizer sample and expenser sample, respectively.

First, majority of Chinese firms (about 80% of those reported) elect to adopt expensing R&D approach, while about 20% deploys capitalization treatment. Second, key attributes such as size, profitability, leverage and R&D intensity are highly associated with capitalization propensity. Third, current capitalization affects the contemporaneous stock prices and stock returns (priced-in) with yearly volatility. Finally, intertemporal association exists between firms’ expensing costs and subsequent returns due to a delayed reaction.

As the world largest emerging economy, the results show that research and development information adds value, and capitalizers outperforms expensers in the area of stock performance. This strategy works irrespectively of economic development stage or capital market maturity. The findings call for more capitalization.