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The purpose of this study is to present the state of the art for fiber Bragg grating (FBG) acceleration sensing technologies from two aspects: the principle of the measurement dimension and the principle of the sensing configuration. Some commercial sensors have also been introduced and future work in this field has also been discussed. This paper could provide an important reference for the research community.

This review is to present the state of the art for FBG acceleration sensing technologies from two aspects: the principle of the measurement dimension (one-dimension and multi-dimension) and the principle of the sensing configuration (beam type, radial vibration type, axial vibration type and other composite structures).

The current research on developing FBG acceleration sensors is mainly focused on the sensing method, the construction and design of the elastic structure and the design of a new information detection method. This paper hypothesizes that in the future, the following research trends will be strengthened: common single-mode fiber grating of the low cost and high utilization rate; high sensitivity and strength special fiber grating; multi-core fiber grating for measuring single-parameter multi-dimensional information or multi-parameter information; demodulating equipment of low cost, small volume and high sampling frequency.

The principle of the measurement dimension and principle of the sensing configuration for FBG acceleration sensors have been introduced, which could provide an important reference for the research community.

Consumers tend to form their perceptions about a company via two associations: corporate ability (CA) that centers on expertise in producing quality products and corporate social responsibility (CSR) that focuses on societal obligations. To date, investigations on the adoption of such association-based corporate communication strategies are yet to address the interactive and multi-source features of social media. Drawing theoretical insights from corporate associations and the warranting principle, the purpose of this paper is to fill the gap and examine the joint effect of association-based corporate posting strategy and corresponding electronic word-of-mouth (eWOM) comment valence on social media.

A three (corporate posting strategy: CSR vs CA vs hybrid (CSR + CA)) by two (eWOM comment valence: positive vs negative) between-subjects experiment (n=193) was conducted.

The effect of corporate posting strategy on consumers’ CSR associations was found to be significant only when eWOM comment valence was positive. Significant main effects of both posting strategy and eWOM comment valence were found on CA associations, perceived corporate reputation, and purchase intention.

This study extends the theoretical framework of corporate associations to the interactive context on social media and provides empirical evidence for the effectiveness of association-based posting strategies when they are jointly presented with eWOM comments at different valence levels. Findings of this study also provide implications for business and communication professionals to communicate with consumers on social media more effectively.

The purpose of this paper is to adopt the uses and gratifications theory (Katz et al., 1974) to understand the phenomenon of relationship building on Facebook. In addition to company-related uses and gratifications, self-related uses and gratifications – expressing self-concept and seeking social interactions and entertainment – were identified. Company reputation and tribalism were incorporated in the theoretical model as underlying mechanisms to explain the effect of the company Facebook page usage on relationship building and engagement behaviors.

A survey was conducted in a Southeastern university in the USA with 459 college students. A three-phased model was proposed and analyzed using structural equational modeling.

The study results demonstrated that the use and gratification of expressing self-concept led to better perceptions of company tribalism and improved relational outcomes (trust and satisfaction). Company-related uses and gratifications, on the other hand, increased trust and satisfaction by increasing perceived company reputation. Satisfaction was found to significantly encourage individuals’ word-of-mouth activities about the company as well as Facebook engagement.

Although extensive research has been conducted on the topic of companies’ social media pages, most prior studies focused on company communication practices and strategies. This study explored this phenomenon from the public’s perspective regarding various usage motivations and patterns. Company tribalism, as a relatively new concept, was introduced to explain how expressing self-concept through companies’ social media pages could benefit relationship building and eventually result in engagement behaviors.

Narrative comments about dentists on physician review sites have been documented to increasingly influence people's selection of their dentists. From a communication standpoint, these comments are a type of narrative communication that people share their experiences with dentists by telling stories. Based on the frameworks of rhetoric structure theory and extended elaborated likelihood model, this study aimed to examine the effects of such storytelling from two perspectives including narrative structure and narrative focus.

A 4 (narrative structure) × 2 (narrative focus) between-subjects experiment was conducted to examine the proposed hypotheses and research questions

The results showed that a one-sided comprehensive comment focusing on technical competence generated the strongest persuasion effects measured by attitude and behavioral intention. These effects were mediated by perceived narrative credibility and enjoyment.

This study contributes to the extant literature in two ways. First, it extends previous studies of online narrative comments by showing which narrative structure and focus are deemed to be more persuasive when selecting a dentist. Second, it offers a test of two routes of information processing (i.e. cognitive and experiential) to understand the mechanism underlying the effects of narrative comments.

The peer-review history for this article is available at: https://publons.com/publon/10.1108/OIR-08-2020-0359

As the epidemic of online fake news is causing major concerns in contexts such as politics and public health, the current study aimed to elucidate the effect of certain “heuristic cues,” or key contextual features, which may increase belief in the credibility and the subsequent sharing of online fake news.

This study employed a 2 (news veracity: real vs fake) × 2 (social endorsements: low Facebook “likes” vs high Facebook “likes”) between-subjects experimental design (N = 239).

The analysis revealed that a high number of Facebook “likes” accompanying fake news increased the perceived credibility of the material compared to a low number of “likes.” In addition, the mediation results indicated that increased perceptions of news credibility may create a situation in which readers feel that it is necessary to cognitively elaborate on the information present in the news, and this active processing finally leads to sharing.

The results from this study help explicate what drives increased belief and sharing of fake news and can aid in refining interventions aimed at combating fake news for both communities and organizations.

The current study expands upon existing literature, linking the use of social endorsements to perceived credibility of fake news and information, and sheds light on the causal mechanisms through which people make the decision to share news articles on social media.

This paper aims to focus on corporate social responsibility in relation to economic policy uncertainty in mergers and acquisitions (M&A). The following questions are addressed: How does policy uncertainty impact corporate M&A? Does social responsibility play a mediating role in this process? How does policy uncertainty affect corporate M&A through social responsibility?

This paper selects the major M&A events in China as the research object, and uses the Probit model to analyze the impact of policy uncertainty on M&A behavior and the business performance after the event, and further analyzes the internal mechanisms that cause these phenomena.

This paper shows that the higher the policy uncertainty, the lower the probability of a successful M&A, and the worse the business performance of the business after the event.

This paper provides useful reference for the study of M&A and social responsibility in different policy environments. At the same time, it provides direct empirical evidence to enhance the success rate of M&A.

This paper studies the lateral stability regulation of intelligent electric vehicle (EV) based on model predictive control (MPC) algorithm.

Firstly, the bicycle model is adopted in the system modelling process. To improve the accuracy, the lateral stiffness of front and rear tire is estimated using the real-time yaw rate acceleration and lateral acceleration of the vehicle based on the vehicle dynamics. Then the constraint of input and output in the model predictive controller is designed. Soft constraints on the lateral speed of the vehicle are designed to guarantee the solved persistent feasibility and enforce the vehicle’s sideslip angle within a safety range.

The simulation results show that the proposed lateral stability controller based on the MPC algorithm can improve the handling and stability performance of the vehicle under complex working conditions.

The MPC schema and the objective function are established. The integrated active front steering/direct yaw moments control strategy is simultaneously adopted in the model. The vehicle’s sideslip angle is chosen as the constraint and is controlled in stable range. The online estimation of tire stiffness is performed. The vehicle’s lateral acceleration and the yaw rate acceleration are modelled into the two-degree-of-freedom equation to solve the tire cornering stiffness in real time. This can ensure the accuracy of model.

This study examines the effects of employees' personal social media posts on external publics' online engagement and offline word-of-mouth (WOM) intentions about a company. Specifically, it investigates how employee post characteristics including valence and content and employer reputation jointly influence publics' online and offline behaviors.

A 2 (post valence: positive vs. negative) × 2 (post content: organization-related vs. job-related) × 2 (employer reputation: good vs. bad) between-subjects experiment was conducted. Participants were asked to view a stimulus social media post created by a fictitious company employee, reflecting one of the eight experimental conditions on a random basis. After viewing, they were requested to report their online engagement intentions (i.e., “like,” “share” and “comment”) with the post and offline WOM intentions about the company.

The experimental results showed that participants expressed more “like” intentions when they viewed a positive post than a negative post. Further, they were more likely to “comment” on a job-related post as opposed to an organization-related post. In addition, a significant interaction effect between post valence and employer reputation on publics' online engagement was found, which in turn influenced their offline WOM intentions about the company.

This study is among the first empirical attempts to examine the effectiveness of employees' personal social media posts on external publics' online and offline behaviors. The experimental findings highlight the importance of managing employee relations from a corporate reputation perspective.

Cryptoassets have recently attracted the attention of national and international financial regulators. Since the mid-2010s blockchains have increasingly been adapted to automate and replace many aspects of financial intermediation, and by 2015 Ethereum had created the smart contract language that underpins the digitization of real assets as asset-backed tokens (ABTs). Those were initially issued by FinTech companies, but more recently banks active on international capital and financial markets, and even central banks, for example, the Bank of Thailand, have developed their own digital platforms and blockchains. A wide variety of real and financial assets underpins ABTs, viz., real-estate, art, corporate and sovereign bonds, and equity. Consequently, owing to the significant market capitalization of cryptocurrencies, the Basel Committee on Banking Supervision (BCBS) published two consultative papers delineating its approach on cryptoasset regulation. In this study, the authors analyze the mechanics of ABTs and their potential risks, relying on case studies of recent issuance of tokens in equity, real-estate, and debt markets, to highlight their main characteristics. The authors also investigate the consequences of the increasingly oligopolistic structure of blockchain mining pools and Bitcoin exchanges for the integrity and security of unregulated distributed ledgers. Finally, the authors analyze the BCBS’ regulatory proposals, and discuss the reaction of international financial institutions and cryptocurrency interest groups. The main findings are, firstly, that most ABTs are akin to asset-backed securities. Secondly, nearly all ABTs are “off-chain/on-chain,” that is, the underlying is a traditional asset that exists off-chain and is subsequently digitized. The main exception is the World Bank’s bond-i that is genuinely native to the blockchain created by the Commonwealth Bank of Australia, and has no existence outside it. Thirdly, all ABTs are issued on permissioned blockchains, where anti-money laundering/anti-terrorist funding and know-your-customer regulations are enforced. From a prudential regulatory perspective, ABTs do not appear to pose serious systemic risks to international financial markets. This may account for the often negative reactions of banks, banking associations, and cryptocurrency interest groups to the BCBS’ 2021 proposals for risk-weighted capital provisions for cryptoassets, which are viewed as excessive. Finally, we found that issuance of ABTS and other smart contracts on permissionless blockchains such as Bitcoin and Ethereum could potentially generate financial instability. A precedent involving Ethereum and The DAO in 2016 shows that (i) there is a significant accountability gap in permissionless blockchains, and (ii) the core developers of blockchains and smart contract technology, and Bitcoin mining pools, exercise an unexpectedly high- and completely unregulated-amount of power in what is supposedly a decentralized network.

Utility tokens are digital currencies that serve as the only accepted means of payment for services and products provided through a blockchain-based platform. They finance the development of their product or service, reward and incentivize early adopters and network promoters, align economic incentives between supply, demand, and the marketplace, and enhance network effects among all participants. Their tokenomic design consists of the rules and regulations governing a token’s issuance, distribution, allocation, and potential destruction. The chapter describes utility tokens, compares them with other types of cryptoassets, and discusses their value creation process and role in network economics. It also reviews common tokenomic designs, discusses different regulatory approaches, and provides examples of current utility token applications in decentralized applications such as decentralized finance and virtual reality platforms (metaverses).