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The outbreak of Covid-19 increased the average time spent on social media (SM). This led to a transformation in how companies manage their digital marketing channels and created additional pressure for business-to-business (B2B) and family businesses, which tend to focus more on personal relationships with customers and stakeholders than on the implementation of digital marketing strategies on SM. The present research examines the case study of a Facebook advertising campaign created to promote the products and business values of an Italian family firm specialising in the production and commercialisation of biostimulants for agriculture.

The research aims to combine digital marketing avenues (i.e. a Facebook advertising campaign) with established psychological and behavioural theories, such as the dual process theories, by comparing the effects of two promotional videos (emotional vs functional).

The results suggest that emotional videos generate more passive behaviours, such as views, as well as active behaviours in the form of likes, comments and shares, while functional videos induce people to search for more information about the advertised products.

This is the first study to validate the role of Facebook advertising campaigns in developing an information-based approach to B2B family firms by testing the effectiveness of a targeted campaign comparing the impact of emotional and functional cues on increasing users' engagement while optimising the circulation of video content. The study helps to reduce the academic–practice gap by investigating the example of a fruitful integration between academic research and management practice.

The purpose of this study is to investigate how the emotion expressed by a fictitious proposer influences the responder’s decision to accept or reject a severely unfair deal, represented by the splitting of a predetermined sum of money between the two players during an ultimatum game (UG). Rejection leads both parts to dissipate that sum. Critically the authors consider the situation in which both players have the best alternative to negotiation agreement (BATNA), which simulates a backup plan to rely on in case of no agreement.

The participants played a UG and, to foster the ecological validity of the paradigm, the parts could both rely on a more or less generous BATNA. The critical manipulation was the emotion expressed by the proposer while their BATNA was either hidden (Exp. 1) or communicated (Exp. 2).

The proposer’s emotions influenced participants’ own emotions, affected their social evaluations about the proposer, the desire for future interactions with the proposer and were used to infer the proposer’s BATNA when it was unknown. In this latter case, proposers’ emotions and in particular his/her happiness, decreased dramatically the participants’ tendency to reject even severely unfair offers.

Past research on UG has been predominantly aimed to investigate the effect of responders’ emotions or the effects of responders’ emotions on the proposer, devoting little attention to how the critical responder’s acceptance/rejection decision might be affected by the proposer’s emotion. Especially in the ecological situation where the parts have a BATNA in case of non-agreement.

During the past few decades, Lean Six Sigma (LSS) in the health-care sector has received increasing attention from both researchers and practitioners because it plays an imperative role in quality improvement and cost reduction initiatives. Although researchers have often focussed on evidence of model effectiveness through the study of performance indicators, too little attention has been given to the factors that lead to implementation failure and the causal relationships among them. This study aims to investigate the factors that may inhibit the successful implementation of the method by focussing on Italian public hospitals.

Through the use of the Delphi technique and fuzzy cognitive maps, this paper derives new and relevant results for researchers, hospital managers and policymakers.

The results show the factors with the greatest impact on LSS implementation and provide insight into the causal links and degrees of influence between critical failure factors and performance variables.

The findings could be considered useful, in particular, to hospital managers and policymakers, who could leverage the suggestions derived from the study to address LSS implementation.

This work overcomes a gap in the literature related to the absence of studies on the causal relationships between factors that determine the success or failure of LSS implementation.

With the increasingly complex global environment companies are facing increased regulations. Financial and social risks are often overlooked but the key in establishing the necessary framework for risk management. Under pressure(s) from the media, public and government, the current companies within the oil and gas fields have taken precautionary steps to reduce their carbon footprint and have allowed technological innovations to take a proactive role in maintaining efficiency and sustainability. The purpose of this paper is to propose a framework outlining how organizations are implementing risk assessment and analysis to determine sustainable operations and methods in developing low-risk outcomes.

The authors used a case study approach to develop and illustrate the risk management framework.

This study provides a theoretical framework for analyzing and reducing risk within the oil and gas sector through explaining various means of innovation and sustainability. Risk integration and mitigation are modeled and quantified within an evolutionary framework. The case study illustrates the risk management techniques currently used in a corporate setting.

Using innovation and sustainable technologies, organizations can take a proactive role in reducing risk in the oil and gas industry in northern Alberta. Providing shareholders with an innovative framework dealing with strategic implications to reduce risk in compliance with operational costs.

Things will never be the same, some say, because of 9.11. We feel more vulnerable, more threatened, more at risk. It was the worst terrorist attack on U.S. soil, goes the refrain. It was dramatic beyond our worst nightmares. Like millions of others, I watched the events of that lovely morning unfold on television. When the South Tower fell for a few seconds I could not see it collapsing. My blindness wasn’t because of the smoke and dust. It was a cognitive blindness. I could not believe my eyes and so, somehow, my mind denied my brain the truth of the moment.

Because of the rapid progress of global value chains (GVCs), it is worthwhile to study their impact on innovation. This study aims to explore the impact of GVC position of high-tech industries in the developing-country context of China on innovation performance; it also aims to explore the moderating effects of industrial agglomeration (specialization agglomeration and diversification agglomeration) on the relationship between GVC position and innovation performance.

The study is based on data gathered on Chinese high-tech industries in 30 provinces from the 2005–2015 period. The econometric analysis relies on merged data from the China Premium Database and the Trade in Value Added 2018 Database.

The regression results show that GVC position of China’s high-tech industries significantly affects their innovation performance, and both specialization agglomeration and diversification agglomeration significantly enhance the positive relationship between GVC position and innovation performance of China’s high-tech industries. After dividing the country into coastal and inland regions, new findings appear.

This study highlights the importance of GVC position and its effect on innovation performance of China’s high-tech industries. It contributes to the literature on the relationship between GVCs and innovation by elaborating on the moderating effects of industrial agglomeration on this relationship.

In this study, scales are developed for phantasy and its determinants, which is accepted as an important variable in investment preference with an emotional finance perspective. The scales developed in this framework are narrative, divided mind, group feel, informed herding, uninformed herding and phantasy. In addition, the power of these determinants to explain phantasy was investigated.

For this purpose, the data was obtained between May 01, 2019 and November 30, 2019 via an online survey with convenience sampling. First, a pilot study consisting of 200 subjects was performed. Then, additional data was collected. The total number of subjects was 648. The authors used IBM SPSS Statistics and AMOS for analysis. Exploratory factor analysis and discriminant analysis were performed. In addition, confirmatory factor analysis was performed after an additional data collection process with structural equation modeling.

As a result of analyses, the validity and reliability of these scales were ensured statistically. It was also found that divided mind directly affects phantasy, but group feel and narrative indirectly affect by informed herding. The “unknown and new investment” preference, which is accepted as a typical feature of the bubble periods, is modeled with the relevant variables. In this framework, it has been found that the variables that refer individuals to the relevant investment preferences are phantasy, group feel, uninformed herding and divided mind.

The study is unique because of its findings and developed scales. The findings are valuable in that the theoretically alleged relations were also obtained empirically.