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Cyber risk has significantly increased over the past twenty years. In many organizations, data and operations are managed through a complex technology stack underpinned by an Enterprise Resource Planning (ERP) system such as systemanalyse programmentwicklung (SAP). The ERP environment by itself can be overwhelming for a typical ERP Manager, coupled with increasing cybersecurity issues that arise creating periods of intense time pressure, stress and workload, increasing risk to the organization. This paper aims to identify a pragmatic approach to prioritize vulnerabilities for the ERP Manager.

Applying attention-based theory, a pragmatic approach is developed to prioritize an organization’s response to the National Institute of Standards and Technology (NIST) National Vulnerability Database (NVD) vulnerabilities using a Classification and Regression Tree (CART).

The application of classification and regression tree (CART) to the National Institute of Standards and Technology’s National Vulnerability Database identifies prioritization unavailable within the NIST’s categorization.

The ERP Manager is a role between technology, functionality, centralized control and organization data. Without CART, vulnerabilities are left to a reactive approach, subject to overwhelming situations due to intense time pressure, stress and workload.

To the best of the authors’ knowledge, this work is original and has not been published elsewhere, nor is it currently under consideration for publication elsewhere. CART has previously not been applied to the prioritizing cybersecurity vulnerabilities.

Cute products have found market success. The literature has identified various factors of cuteness, but the effect of size is under-addressed. This study aims to investigate whether and how size perception influences consumers’ cuteness perception.

In three experiments, size was manipulated in terms of visual cue, product description and product name to determine its impact on cuteness perception.

The results of the three experiments demonstrate that a size cue of smallness can heighten consumers’ perception of product cuteness. The first two studies provided converging evidence for the main hypothesis that smaller objects are evaluated as cuter. Study 3 not only replicated the findings of the first two studies but also revealed that vulnerability acts as the underlying process for the smallness-cuteness relationship. Study 3 also showed that the purchase likelihood for an extended product warranty is higher in the small condition compared to the control condition.

While the findings were robust across product types and size manipulations, possible boundary conditions related to product types or individual characteristics were not tested.

The findings suggest how brand managers can use size perceptions to influence consumers’ perceptions of the cuteness of their products and brands.

The findings inform brand managers about the nuances of size cues that may affect how customers perceive their products and identify a more generally applicable cuteness factor that may have downstream implications for marketing practitioners.

This paper aims to explore how service organizations can improve the effectiveness of well-being creation efforts given the pressing societal issues and global crises. In this paper, the authors examine two essential dimensions (dignity and vulnerability approach) to develop a theoretical framework. This framework can be used to increase the effectiveness of well-being outcomes created by transformative service initiatives (TSIs) and minimize their negative unintentional consequences.

Drawing on social marketing and humanistic management literature, this paper develops a framework for TSIs based on whether human dignity is recognized or ignored and whether a deficit-based or strength-based approach to vulnerability is used. This framework explains different types of TSIs and provides real-life examples.

The framework developed in this paper discusses four different types of TSIs: (1) exclusionary, a deficit-based approach where dignity is ignored; (2) opportunistic, a strength-based approach where dignity is ignored; (3) paternalistic, a deficit-based approach where dignity is recognized; and (4) humanistic, a strength-based approach where dignity is recognized. The paper also identifies five pathways that service organizations could use to implement these approaches, including two traps (utility and charity) and three opportunities (resourcing, humanizing and full awakening) embedded within these pathways.

This paper provides examples of service industries and specific companies to exemplify the framework developed. Also, it discusses the well-being implications and potential well-being outcomes associated with each type of TSI.

This paper offers a novel framework based on two dimensions that are relatively new to the service literature, i.e. dignity and vulnerability approach. This paper also highlights the importance of including these two dimensions in future service research.

This paper offers a novel framework based on two relatively new dimensions to the service literature: dignity and strengths-based approach. This paper also highlights the importance of including these two dimensions in future service research.

The COVID-19 pandemic accelerated many organisations’ reliance on the Internet, with schools, companies, and government agencies, among other institutions, all shifting their operations online in a relatively short period of time. This sudden shift created opportunities for cybercriminals, as did the burden on the healthcare sector, the rush for unemployment benefits, and the desire for up-to-date information about outbreaks and health precautions. This chapter examines the trends in cybercrime during the COVID-19 pandemic that were spurred by these changes, as well as the mitigation measures implemented by government and private industry stakeholders to help protect critical infrastructure and online operations. It argues that the nature of cybercrime and the most common forms of criminal activity did not change substantially during the pandemic, but rather that criminals’ focus on whom to target and how to exploit evolving current events enabled them to wield existing criminal tools to greater effect, and potentially also at greater scale, though reliable statistics on the frequency and size of cybercrimes are scarce. Finally, the chapter considers how these trends in cybercrime forced private organisations and governments to undertake new cybersecurity measures and programs and whether the long-term effects of the pandemic might actually include stronger cybersecurity if these efforts continue past the end of the public health crisis.

The rising number of food recalls has raised concerns about complexity, globalization and weak governance in the food supply chain. This paper aims to investigate the recall of plant-based products with data from the US Food and Drug Administration.

Introducing the structural topic modeling method allowed us to test theories on recall in the context of sustainable food consumption, enhancing the understanding of food recall processes. This approach helps identify latent topics of product recalls and their interwoven relationships with various stakeholders.

The results answer a standing research call for empirical investigation in a nascent food industry to identify stakeholders’ engagements for food safety crisis management for corporate social responsibility practices. This finding provides novel insights on managing threats to food safety at an industry level to extend existing antecedents and consequences of product recall at a micro level.

For practitioners, this empirical finding may provide insights into stakeholder management and develop evidence-based strategies to prevent threats to food safety. For public policymakers, this analysis may help identify patterns of recalls and assist guidelines and alarm systems (e.g. EU’s Rapid Alert System for Food and Feed) on threats in the food supply chain.

Two detected clusters, such as opportunisms of market actors in the plant-based food system and food culture, from the analysis help understand corporate social responsibility and food safety in the plant-based food industry.

This study aims to reconstruct how smallholder farmers implement livelihood adaptation strategies to survive and escape poverty, thereby mitigating or eliminating potential livelihood risks by utilizing their available assets.

This research employed a qualitative approach. For the collection of primary data, the researcher conducted observations and in-depth interviews and engaged with the lives of smallholder farmers during the data collection period.

Among the various livelihood adaptation strategies, only migration and profit-sharing strategies enable smallholder farmers to escape poverty. However, migration is an unsustainable adaptation strategy. When farmers move to new locations, they often resort to slash-and-burn methods for clearing land, which can lead to forest degradation and deforestation. Profit sharing is a sustainable livelihood adaptation strategy that falls into a different category. This approach can lift farmers out of poverty, increase their income and have no negative environmental impact. Other adaptation strategies include adjustments to traditional agriculture, both on and off-farm diversification, involving the family in income generation, reducing farming costs, practicing frugality in post-harvest processes, converting land from coffee cultivation to other crops and borrowing money and selling owned assets. Smallholder farmers implement these strategies to survive the existing economic conditions.

The profit-sharing strategy was a novel livelihood adaptation approach that previous studies had yet to uncover at the research site. In this strategy, farmers assume the roles of both managers and laborers simultaneously during farming, while toke (the capital owners) play the role of farming funders. The generated profit is then shared between farmers and toke based on the agreement established at the outset of their collaboration.

This research aims to provide a predictive model assessment on the effect of information sharing on fresh produce supply chain (FPSC) performance during the COVID-19 pandemic by incorporating information quality as an important part of information sharing, as well as cognitive and affective appraisals as part of a social learning process (mediators) into the model.

An online survey was conducted on 197 small fresh produce (fruits and vegetables) retailers in Indonesia during the COVID-19 pandemic. The data were analysed using Partial Least Squares Structural Equation Modeling (PLS-SEM) particularly PLSpredict supported by SmartPLS 4 software.

This research reveals that information sharing is positively and significantly associated with information quality and that the two constructs are not directly associated with FPSC performance. The path analysis suggests that the effect of information sharing on FPSC performance is fully mediated by cognitive and affective appraisals to the information-sharing activity. It also suggests that the effect of information quality on FPSC performance is fully mediated by affective rather than cognitive appraisal. This model shows a high predictive power and highlights the pivotal role of the learning process during the COVID-19 pandemic.

This research is the first to employ a predictive model assessment in PLS-SEM to empirically predict the effect of information sharing on FPSC performance using a social learning perspective, particularly in the context of the COVID-19 pandemic.

COVID-19 has affected most business activities, including technology-based business. The higher the business vulnerability rating, the greater the impacts. After identifying three dimensions of vulnerability (exposure, business sensitivity and response capacity), this study aims to determine the potential components and indicators of the vulnerability of technology-based businesses.

Using the indicator approach, a comprehensive vulnerability model was developed for assessing the vulnerability of the technology-based business against COVID-19.

In this study, COVID-19, as a biological threat and an exogenous shock, was considered the exposure dimension. Business characteristics, job characteristics, business owner-manager demographics, product and supplier characteristics were identified as the sensitivity dimension, while resources, human capital, technological capitals, social capitals, institutional capitals, infrastructures, management capacity and supply chain capabilities were defined as the adaptive business capability or response capacity. To determine vulnerability and response capacity against exogenous shocks and a pandemic crisis, the framework can act as a useful checklist for managers and owners of technology-based businesses.

Research on the COVID-19, especially in the technology-based business, is still at the emergent stage. This study is a pioneering effort to review the literature on business vulnerability and provide a framework to reduce business vulnerability using the indicator-based approach.

The main aim of this study is to explore the appropriate factors in measuring COVID-19-induced supply chain disruptions and the impact of these disruptions on the economic vulnerability of small-scale farmers in Sri Lanka.

The findings revealed that most of the farmers have continued to cultivate even during the pandemic despite several challenges which affected their economic status. Therefore, it is concluded that COVID-19-induced transportation and demand disruptions exacerbated the economic vulnerability of small-scale farmers over the disruptions in supply and production.

The findings of this study are crucial for formulating novel policies to improve the sustainability of the Sri Lankan agricultural sector and alleviate the poverty level of Agri-communities in the countryside. As farming is a vital sector in the economy, increased attention ought to be given on facilitating farmers with government-encouraged loans or allowances for their financial stability. Further, the respective government authorities should develop programs for importing and distributing adequate quantities of fertilizers among all the farmers at controlled prices so that they can continue their operations without any interruption. Moreover, the government could engage in collaboratively work with private organizations to streamline the Agri-input supply process. There should be a government initiative for critical consideration of the issues of farming families and their continued motivation to engage in agriculture. Thus, farmers' livelihoods and agricultural prosperity could be upgraded through alternative Agri-inputs and marketing strategies, providing financial assistance, encouraging innovative technology, etc.

Despite the significance and vulnerability of the vegetable and fruit sector in Sri Lanka, there is a limitation in the empirical studies conducted on the supply chain disruptions caused by COVID-19 measures and their implications on the farmers' livelihood. Furthermore, previous empirical research has not employed adequate quantitative tools to analyze the situation or appropriate variables in evaluating COVID-19-induced disruptions. Hence, the current study explored the appropriate factors for measuring COVID-19-induced supply chain disruption using exploratory factor analysis. Then, the impact of those factors on the economic vulnerability of the small scale farmers was revealed through the ordinal logistics regression analysis.