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1 – 10 of 204Arman Miri, Akram Karimi-Shahanjarin, Maryam Afshari, Leili Tapak and Saeed Bashirian
This study aims to investigate the impact of message framing (emotional vs rational) on social media users' ability to accurately detect information and their intention to share…
Abstract
Purpose
This study aims to investigate the impact of message framing (emotional vs rational) on social media users' ability to accurately detect information and their intention to share messages about the COVID-19 vaccine.
Design/methodology/approach
Using an experimental design approach, the authors recruited 600 adult participants via a crowdsourcing platform. Participants were randomly assigned to receive emotional or rational messages and their ability to accurately detect information and intention to share messages were assessed.
Findings
The results showed a significant multivariate effect of message framing on both the detection of accurate information and intention to share (p < 0.001). Participants who received emotional messages demonstrated better performance in the detection and sharing task than those who received rational messages. Gender and age also had significant main effects on the outcomes, with women performing better than men and younger participants performing better than older participants in detecting the accuracy of information. The interaction effects of the independent variables were not statistically significant (p = 0.098).
Originality/value
The findings highlight the importance of considering emotional factors in combating the spread of messages about the COVID-19 vaccine on social media. Practitioners responsible for social media content should strengthen the content review mechanism, with an emphasis on screening content with high emotional arousal.
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Malik Brakni, Hélène Gorge and Nil Ozcaglar-Toulouse
This study aims to understand the progressive marketization of health data collection and use, through a study of its historical development in France, from the 1930s to the…
Abstract
Purpose
This study aims to understand the progressive marketization of health data collection and use, through a study of its historical development in France, from the 1930s to the present day.
Design/methodology/approach
The authors collected a set of legal, institutional, political and media data. These came from the INA (National Audiovisual Institute), the French national newspaper websites and the websites legifrance.gouv.fr and vie-publique.fr. The authors then conducted a thematic content analysis.
Findings
The study results highlight the changes in the health-care system related to the increased use of data in France over three major periods. The first period – 1930s to 1980s – is marked by the creation of the French social security system to collect large sets of data to better manager people’s health care. The second period – 1980s to 2000s – is characterized by the adoption and assimilation of tools to manage patient data through several national and European regulations. The last period – 2000s to the present – saw the introduction of measures in favor of the digitalization of health care, and consequently of data, in parallel with the advancement of digital technologies in general. The institutional dynamics in healthcare have evolved with the nature of the actors and their practices, in connection with new perceptions about health data.
Originality/value
This research sheds light on the historical transformation of health data collection and use in France, revealing the involvement of diverse stakeholders, the discourses driving data development and the need for regulation. It exposes the dual nature of health data collection and use, initially sanctioned by the state and public entities but later exploited for private interests.
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Keith S. Jones, McKenna K. Tornblad, Miriam E. Armstrong, Jinwoo Choi and Akbar Siami Namin
This study aimed to investigate how honest participants perceived an attacker to be during shoulder surfing scenarios that varied in terms of which Principle of Persuasion in…
Abstract
Purpose
This study aimed to investigate how honest participants perceived an attacker to be during shoulder surfing scenarios that varied in terms of which Principle of Persuasion in Social Engineering (PPSE) was used, whether perceived honesty changed as scenarios progressed, and whether any changes were greater in some scenarios than others.
Design/methodology/approach
Participants read one of six shoulder surfing scenarios. Five depicted an attacker using one of the PPSEs. The other depicted an attacker using as few PPSEs as possible, which served as a control condition. Participants then rated perceived attacker honesty.
Findings
The results revealed honesty ratings in each condition were equal during the beginning of the conversation, participants in each condition perceived the attacker to be honest during the beginning of the conversation, perceived attacker honesty declined when the attacker requested the target perform an action that would afford shoulder surfing, perceived attacker honesty declined more when the Distraction and Social Proof PPSEs were used, participants perceived the attacker to be dishonest when making such requests using the Distraction and Social Proof PPSEs and perceived attacker honesty did not change when the attacker used the target’s computer.
Originality/value
To the best of the authors’ knowledge, this experiment is the first to investigate how persuasion tactics affect perceptions of attackers during shoulder surfing attacks. These results have important implications for shoulder surfing prevention training programs and penetration tests.
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This paper reviews the recent collapse of two cryptocurrency enterprises, FTX and Celsius. These two cases of institutional bankruptcy have generated criminal charges and other…
Abstract
Purpose
This paper reviews the recent collapse of two cryptocurrency enterprises, FTX and Celsius. These two cases of institutional bankruptcy have generated criminal charges and other civil complaints, mainly alleging fraud against the CEOs of the companies. This paper aims to analyse the fraud leading to these bankruptcies, drawing on key concepts from the research literature on economic crime to provide explanations for what happened.
Design/methodology/approach
This paper uses a case study approach to the question of how large financial institutions can go off the rails. Two theoretical perspectives are applied to the cases of the FTX and Celsius collapses. These are the “normalisation of deviance” theory and the “cult of personality”.
Findings
In these two case studies, there is an interaction between the “normalisation of deviance” on the institutional level and the “cult of personality” at the level of individual leadership. The CEOs of the two companies promoted themselves as eccentric but successful examples of the visionary tech finance genius. This fostered the normalisation of deviance within their organisations. Employees, investors and regulators allowed criminal and highly financially risky practices to become normalised as they were caught up in the attractive story of the trailblazing entrepreneur making millions in the new cryptoeconomy.
Originality/value
This paper makes a contribution both to the case study literature on economic crime and to the development of general theory in economic criminology.
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Ani Hayrapetyan and Alexandra Simon
Family businesses (FBs) are considered an essential type of entrepreneurship that impacts economic growth. However, statistics show that after a period of performance they…
Abstract
Purpose
Family businesses (FBs) are considered an essential type of entrepreneurship that impacts economic growth. However, statistics show that after a period of performance they ultimately fail, and comparatively little is known about the reasons for their failing when compared to the amount of research focusing on keys to success.
Design/methodology/approach
Through the implementation of an case study technique, which is widely used in research to address the complex phenomenon of failure, this paper aims to analyse the antecedents of failure in the case of four Catalan FBs. In doing so, this article develops propositions based on Institutional Economics Theory and Dynamic Capability Theory, with a focus on innovation and product diversification in family firms.
Findings
Using interviews as a means of obtaining a large amount of information, it is observed that problems related to governmental regulations and constantly changing social behaviour can lead to failure for FBs. Additionally, a link between R&D activities and new product development and FB failure is observed. More specifically, this research highlights that a lack of product diversification and innovation can become a hindrance for FB performance when the institutional environment is unstable. It reveals the importance of developing dynamic capabilities that can meet the demands of fast-changing consumer behaviour. From a practical perspective, these findings can be used by governments in developing regulations focused on the dynamic capabilities of FBs, and by managers in order to learn from these experiences and implement appropriate strategies for long-term development and crisis management.
Originality/value
This paper theoretically contributes to both the FB literature, as well as to institutional economics and dynamic capability theories by offering a combined perspective on how FB's dynamic capabilities change based on environmental factors and impact FB failure.
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Herman Belgraver, Ernst Verwaal and Antonio J. Verdú‐Jover
Prior research from transaction costs economics argued that central firms perform better because they have superior access to information to discipline their alliance partners…
Abstract
Purpose
Prior research from transaction costs economics argued that central firms perform better because they have superior access to information to discipline their alliance partners. Central firms may also, however, face higher costs and risks of unintentional learning and weaken their competence through structural inertia. We propose that these costs and risks are influenced by the learning capacities of the firms in the network and can explain different outcomes for focal firm performance.
Design/methodology/approach
To test our predictions, we use instrumental variable–generalized method of moments estimation techniques on 15,517 firm-year observations from equity alliance portfolios in the global food industry across a 21-year window.
Findings
We find support for our predictions and show that the relationship between network degree centrality and firm performance is negatively influenced by partners’ learning capacity and positively influenced by focal firms’ learning capacity, while firms with low network degree centrality benefit less from their learning capacity.
Research limitations/implications
Future developments in transaction cost economics may consider partner and focal firms’ learning capacity as moderators of the network degree centrality – firm performance relationship.
Practical implications
In alliance decisions, managers must consider that the combination of high network degree centrality and partners’ learning capacity can lead to high costs, risks of unintentional learning, and structural inertia, all of which have negative consequences for performance. In concentrated industries where network positions are controlled by a few large firms, policymakers must acknowledge that firms may face substantial barriers to collaboration with learning-intensive firms.
Originality/value
This study is the first to develop and test a comprehensive transaction cost analysis of the central firm’s unintended knowledge flows and structural inertia in alliance networks. It is also the first to incorporate theoretically and empirically the hazards of complex and unintended information flows on the relationship of network degree centrality to performance in equity alliance portfolios.
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Juliano Endrigo Endrigo Sordan, Pedro Carlos Oprime, José Leonardo Ferreira, Clesio Aparecido Marinho and Arminda Pata
The lean manufacturing (LM) approach is a highly effective method that can be implemented in any industry to streamline production processes, meet customer demand and eliminate…
Abstract
Purpose
The lean manufacturing (LM) approach is a highly effective method that can be implemented in any industry to streamline production processes, meet customer demand and eliminate any unnecessary waste. This paper aims to propose and evaluate a generic project-based framework grounded on the LM approach for reducing lead time in foundry processes.
Design/methodology/approach
Using design science research (DSR), we developed a generic LM project-based framework for reducing lead time in foundry processes.
Findings
The developed framework provides an alternative method to implement LM projects to reduce lead time and nonvalue activities in foundry factories.
Practical implications
The findings of this research can guide better lean practitioners for lead time reduction in foundry processes.
Originality/value
This paper contributes to the operational excellence literature when discussing the impact of the LM approach on foundry processes. In addition, the paper provides a roadmap for reducing lead time in a foundry company.
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Sujeet Deshpande and Manoj Hudnurkar
According to extant Supply Chain Risk Management (SCRM) literature, manufacturing firms must align their choice of SC bridging or buffering strategies with their operating…
Abstract
Purpose
According to extant Supply Chain Risk Management (SCRM) literature, manufacturing firms must align their choice of SC bridging or buffering strategies with their operating environment to achieve high plant performance and minimize SC disruption impacts. However, very few empirical studies have examined the relative performance of these strategies in dynamic industry environments. This study aims to address this research gap. This study also seeks to supplement the limited empirical research that has examined the empirical relationships between a firm’s Supply Base Complexity (SBC), the likelihood of SC disruptions, and plant performance.
Design/methodology/approach
This study uses data from a cross-sectional survey of 202 manufacturing firms in India. The data is analyzed, and the study hypotheses are tested using PLS path modeling and SPSS PROCESS Macro.
Findings
The study shows that increased SBC leads to an increased frequency of SC disruptions with a negative impact on plant performance. The study also finds that the firm’s implementation of SC bridging or buffering strategies effectively moderates this performance impact. However, the study results do not support the hypothesis that industry dynamism moderates the relative effectiveness of SC bridging or buffering strategies in mitigating the negative impact of SC disruptions.
Originality/value
The study adds to the limited empirical research examining the SC disruption risk associated with SBC and the resulting performance impact. It addresses a gap in extant research by evaluating the efficacy of SC bridging and buffering strategies in mitigating this performance impact in dynamic industry environments.
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Yanina Espegren and Mårten Hugosson
Human resource analytics (HRA) is an HR activity that companies and academics increasingly pay attention to. Existing literature conceptualises HRA mostly from an objectivist…
Abstract
Purpose
Human resource analytics (HRA) is an HR activity that companies and academics increasingly pay attention to. Existing literature conceptualises HRA mostly from an objectivist perspective, which limits understanding of actual HRA activities in the complex organisational environment. This paper therefore draws on the practice-based approach, using a novel framework to conceptualise HRA-as-practice.
Design/methodology/approach
The authors conducted a systematic literature review of 100 academic and practitioner-oriented publications to analyse existing HRA literature in relation to practice theory, using the “HRA-as-practice” frame.
Findings
The authors identify the main practices involved in HRA, by whom and how these practices are enacted, and reveal three topics in nomological network of HRA-as-practice: HRA technology, HRA outcomes and HRA hindrances and facilitators, which the authors suggest might actualize enactment of HRA practices.
Practical implications
The authors offer HR function and HR professionals a basic ground to evaluate HRA as a highly contextual activity that can potentially generate business value and increase HR impact when seen as a complex interaction between HRA practices, HRA practitioners and HRA praxis. The findings also help HR practitioners understand multiple factors that influence the practice of HRA.
Originality/value
This systematic review differs from the previous reviews in two ways. First, it analyses both academic and practitioner-oriented publications. Second, it provides a novel theoretical contribution by conceptualising HRA-as-practice and comprehensively compiling scattered topics and themes related to HRA.
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Naveed Yasin, Khalid Hafeez and Aidin Salamzadeh
This paper responds to several calls for a cross-national comparative study of immigrant entrepreneurship throughout the longstanding discourse of this phenomenon. This study aims…
Abstract
Purpose
This paper responds to several calls for a cross-national comparative study of immigrant entrepreneurship throughout the longstanding discourse of this phenomenon. This study aims to comparatively analyze the nature of immigrant enclave entrepreneurship among one immigrant community across three different jurisdictional contexts (UK, Denmark and Norway) based on comparative ethnographic methods of inquiry.
Design/methodology/approach
The data was collected in person from April 2022 to June 2023 by the researchers to identify the similarities and differences of migrant entrepreneurial activities in three immigrant enclaves (Manchester, Oslo and Copenhagen). Comparative ethnographic narrative analysis methods and template analysis approaches were combined to analyze interviews, observations and secondary published data.
Findings
This study examines spatiality, sectoral occupation and market orientation for comparative analysis. Through detailed analysis, it uncovers the spatiality and nuances in market demands and sectoral similarities across diverse regulatory environments. Notably, it identifies traditional migrant sectoral occupations shared across regions and its relevance to immigrant enclaves.
Originality/value
This scholarly contribution explores immigrant entrepreneurship in various national contexts, emphasising their engagement in neglected and low-value sectors within immigrant enclaves. The study addresses the influence of the host economy’s conditions on immigrant entrepreneurs, impacting their strategic orientation and the extent of their “embeddedness”. It responds to the theoretical gap in immigrant entrepreneurship literature by conducting a cross-national investigation across countries, extending the comparative dimension to Norway and Denmark. The research employs a unique design focusing on a specific immigrant group and emphasizes spatial contexts, sectoral proliferation and market orientation within immigrant enclaves, offering insights into the mixed embeddedness perspective and the broader environmental forces shaping migrant entrepreneurial activities in the UK and Scandinavia.
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