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Information distortion affects the perception of quality, which, in turn, influences investment decisions and determines the pledge results of fundraising. This study combines signalling theory with persuasion theory to empirically study the effects of linguistic information distortion from fraudulent cues on a crowdfunding campaign's fundraising outcomes using text analytics, with implications for entrepreneurs, platforms and investors.

This study empirically analyzes 328,974 crowdfunding projects from the Kickstarter platform. Information distortion is detected using four indicators, based on text mining analytics. An econometric model is built to estimate the impact of information distortion, while the predictive power of the information distortion is detected through machine learning.

The results inform that distortion in the blurb, detailed description and reward statement dampen a campaign's success, but embellishing the entrepreneur's biography enhances the success of financing. Furthermore, information distortion exhibits a significant inverted U-shaped influence. The effect of the interaction terms suggests that campaigns with high pledge goals are more sensitive to information distortion, and that native-speaking entrepreneurs are adept at applying linguistic skills to promote the campaign.

This study provides a linguistic method to detect the influence of information distortion on crowdfunding campaigns. Further, the study offers some practical suggestions for entrepreneurs on how to generate attractive narratives, and contributes to the investor's decision-making and informs the platform's promotion strategy.

The purpose of this research is to analyse the upstream information distortion among the various members of the agro-food supply chain, regarding the consumers’ quality perceptions.

The study focused on the beef chain, which is one of the most active in quality management terms. The study involved different actors in the chain: consumers (402), retailers (98), agro-industrials (40) and cattle farmers (84).

The results demonstrated that the more the upstream agents move away from consumers, the more the information becomes distorted. The research also highlighted that the greater the number of links in the chain, the more the consumer’s upstream information tends to be distorted.

The information flow is one of the important aspects on which the supply chain management focuses. This paper contributes to information flow research between different actors in the supply chain regarding product quality from the consumer perspective. Therefore, for the members of the supply chain, this research represents the potential to direct management’s value-added activities towards what consumers value the most.

The COVID-19 pandemic has spurred a concurrent outbreak of false information online. Debunking false information about a health crisis is critical as misinformation can trigger protests or panic, which necessitates a better understanding of it. This exploratory study examined the effects of debunking messages on a COVID-19-related public chat on WhatsApp in Singapore.

To understand the effects of debunking messages about COVID-19 on WhatsApp conversations, the following was studied. The relationship between source credibility (i.e. characteristics of a communicator that affect the receiver's acceptance of the message) of different debunking message types and their effects on the length of the conversation, sentiments towards various aspects of a crisis, and the information distortions in a message thread were studied. Deep learning techniques, knowledge graphs (KG), and content analyses were used to perform aspect-based sentiment analysis (ABSA) of the messages and measure information distortion.

Debunking messages with higher source credibility (e.g. providing evidence from authoritative sources like health authorities) help close a discussion thread earlier. Shifts in sentiments towards some aspects of the crisis highlight the value of ABSA in monitoring the effectiveness of debunking messages. Finally, debunking messages with lower source credibility (e.g. stating that the information is false without any substantiation) are likely to increase information distortion in conversation threads.

The study supports the importance of source credibility in debunking and an ABSA approach in analysing the effect of debunking messages during a health crisis, which have practical value for public agencies during a health crisis. Studying differences in the source credibility of debunking messages on WhatsApp is a novel shift from the existing approaches. Additionally, a novel approach to measuring information distortion using KGs was used to shed insights on how debunking can reduce information distortions.

An effective supply chain requires a smoothly operating information system. Accurate information must flow among the links in a timely, coordinated fashion, which minimizes distortion. The system must incorporate supply‐and‐demand information, and constantly changing information about real world events that affect the chain. This paper provides a structure for these flows through a data flow diagram (DFD) and with a case study of its application to the Alaskan North Slope Oil (ANS) supply chain. The properties of this DFD are presented for push, pull and hybrid push/pull supply chains. Management can use the DFD approach to improve supply‐chain operations. Information flows can be rationalized and streamlined and feedback loops can be defined to measure performance. IT professionals can apply the generic nature of the DFD to a wide variety of logistics activities, including warehouse and carrier operations.

This paper breaks through the limitations of the research on bullwhip effect in the traditional supply chain, extends the research perspective to digital supply chain and discusses the weakening effect of digital supply chain on bullwhip effect by comparing the overall performance of the two.

This paper starts with the weakening mechanism of supply chain digitization on bullwhip effect, builds bullwhip effect models of traditional supply chain and digital supply chain, respectively, simulates the influence of supply chain digitization transformation on bullwhip effect by using Matlab software and analyzes the causes of bullwhip effect in supply chain led by T company and the digitization process.

Firstly, digitization can reduce bullwhip effect in multi-level supply chain by reducing information feedback deviation. Second, digital transformation is conducive to improving the overall performance of the supply chain. Third, government incentives can promote the digital transformation of supply chain and inhibit bullwhip effect.

Although the study considers the heterogeneous subject -- the government's incentive effect on digital transformation and information sharing – it does not include the influence of the end node in the supply chain, that is the consumer. In addition, this paper only analyzes and discusses the bullwhip effect on the amplification of demand, without considering the situation that the market contraction will lead to the reduction of demand.

This paper considers the distortion degree and delay degree of information feedback, carries out quantitative analysis of bullwhip effect, builds the bullwhip effect model of traditional supply chain and digital supply chain, uses Matlab software to analyze the difference of the influence of supply chain digital transformation on bullwhip effect suppression and puts forward the corresponding control strategy.

The research shows that digital transformation can reduce the bullwhip effect in multi-layer supply chain by reducing the information feedback deviation, which is conducive to improving the overall supply chain performance, and government support can accelerate the digital transformation of supply chain to a certain extent.

First, break through the limitations of traditional supply chain research, expand the research perspective to digital supply chain and discuss the weakening effect of digital supply chain on bullwhip effect by comparing the overall performance of the two. Second, quantify the bullwhip effect through information feedback bias and provide an analysis method for the weakening of the bullwhip effect. Third, the driving role of the government in the digital transformation of the supply chain is considered in the study, so that the model is more close to the actual situation of enterprise operation.

The purpose of this paper is to investigate whether analysts’ personal cognitive traits mitigate the efficacy of graphical impression management.

Three experiments are conducted wherein 525 professional accountants working as financial analysts rate a hypothetical company’s performance graph depicting its net income trend. The manipulation is the presence (absence) of impression management techniques. Hypotheses test whether different techniques are effective and whether analysts’ cognitive reflection ability mitigates manipulation efficacy.

Presentation enhancement is effective only with impulsive analysts, showing the weakness of this technique through the use of colors. Measurement distortion and selectivity techniques are effective for reflective and impulsive analysts; however, reflective analysts are more critical about graphs prepared via selectivity that emphasize profit recovery following crises.

Each impression management technique is investigated in isolation and in controlled conditions. Further research could consider how personal cognitive traits impact the efficacy of combined techniques and whether imbedding manipulated graphs with other information mitigates impression management efficacy.

Research on impression management is mostly “task-oriented;” few “people-oriented” studies focus on decision making by those using financial reports. Users’ cognitive reflection ability is shown to undermine the efficacy of some impression management techniques.

Financial analysts, auditors and regulators could develop mechanisms to avoid pervasive usage of (or enhance skepticism regarding) techniques not mitigated by users’ reflectiveness.

Evidence from financial analysts with an accounting background provides insights on individual characteristics’ influence on graphical impression management efficacy.

The need to gain theoretical and practical understanding into the communication performance challenges in public private partnership (PPP) projects is considered as a precursor to effective communication strategies, management, planning and improvement in PPP models in both developed and developing countries. Hence, the purpose of this paper is to investigate the nature of communication performance challenges in PPP projects.

By adopting a deductive research design, a questionnaire survey of participants in the communication network of PPP projects in two countries (Ghana and South Africa) was conducted. The responses were analyzed using mean scores, Kendall’s concordance and Mann–Whitney U test.

The results revealed communication performance challenges that are unique to PPP project environment. Additionally, there were other typologies of communication challenges such as untimeliness, distortions and protocols that were frequently experienced in Ghana and not in South Africa. Also the emergence of misunderstanding affirmed that indeed this is a communication problem that is common and not peculiar to any project context or country.

With communication challenges and information asymmetries as notable challenges in PPP coupled with suggestions that effective communication is central to success of PPP projects and management, the insight into the communication performance challenges given by this study could be very useful to effective planning and strategies towards communication in construction project delivery in PPP and thus underline the importance of deriving mechanisms and protocols that suit PPP project environments.

These findings can be a precursor for developing bespoke communication systems, tools, protocols and communication behaviours to facilitate information flow aimed at overcoming information asymmetries and ultimately improving the quality of communication actions, tasks and outcomes in PPP project delivery.

Using information effectively has become a critical determinant for gaining competitive advantage and enhancing business performance. In this context, the need for further research into export information use is particularly pressing, given the increased recognition that mere export information acquisition is not sufficient to ensure optimal decision‐making quality for foreign markets. Information use has been conceptualised in the past as a multi‐dimensional construct encompassing instrumental, conceptual, and symbolic use, with most studies focusing on the first two dimensions. However, the nature of the export‐non‐export dichotomy within firms sets the scene for political information‐related activity and thus symbolic use of export information. This paper presents a multidimensional conceptualisation of symbolic use of export information, anchored in a cross‐disciplinary review of the literature. Key propositions regarding the impact of symbolic use of export information on export performance are also proposed. Conclusions are drawn and a future research agenda is outlined.

End‐user demand information suffers from delay and distortion as it moves upstream in a supply chain. Co‐ordination between organisations in the supply chain, through sharing of demand information, is a possible solution to counter this distortion. Modelling and analysing supply chains, however, is not an easy task, as the supply chains contain multiple echelons and are faced with uncertain demand and lead‐times. For multi‐echelon supply chains adopting different inventory and forecasting policies at the echelon level, simulation is the most appropriate analysis tool. In this paper, we describe the development of a simulation workbench for modelling and analysing multi‐echelon supply chains. The workbench facilitates study of inventory and forecasting policies practised by the echelons, and models different information exchange mechanisms adopted by them. An experiment conducted, to test the workbench and demonstrate its capabilities, confirms that the workbench is a useful tool for gaining valuable insights into information exchange in a particular supply chain.

The paper starts with a description of a risk management model more suited to the current business environment. Key to the introduction of the model is the success of organizational communication and culture. Aspects of culture are explained using cultural theory. This is followed by a discussion of the critical role of communication, and the theory of the social amplification of risk is presented and analysed. From here the paper moves to the development of a framework explaining communications behaviour during crisis. The notions of structural distortion and communications degradation during crises are used to explain behavioural (cultural changes) distortion. Total risk management is presented as a notional solution to these problems.