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Whenever social injustice tackled by social movements receives heightened media attention, charitable crowdfunding platforms offer an opportunity to proactively advocate for equality by donating money to affected people. This research examines how the Black Lives Matter movement and the associated social protest cycle after the death of George Floyd have influenced donation behavior for campaigns with a personal goal and those with a societal goal supporting the black community.

This paper follows a quantitative research approach by applying a quasi-experimental research design on a GoFundMe dataset. In total, 67,905 campaigns and 1,362,499 individual donations were analyzed.

We uncover a rise in donations for campaigns supporting the black community, which lasts substantially longer for campaigns with a societal than with a personal funding goal. Informed by construal level theory, we attribute this heterogeneity to changes in the level of abstractness of the problems that social movements aim to tackle.

This research advances the knowledge of individual donation behavior in charitable crowdfunding. Our results highlight the important role that charitable crowdfunding campaigns play in promoting social justice and anti-discrimination as part of social protest cycles.

Digital innovation requires organizations to reconfigure their information technology infrastructure (ITI) to cultivate creativity and implement fast experimentation. This research inquiries into ITI generativity, an emerging concept demoting a critical ITI capability for organizational digital innovation. More specifically, it conceptualizes ITI generativity across two dimensions—namely, systems and applications infrastructure (SAI) generativity and data analytics infrastructure (DAI) generativity—and examines their respective social and technical antecedents and their impact on digital innovation.

This research formulates a theoretical model to investigate the social and technical antecedents along with innovation outcomes of ITI generativity. To test this model and its associated hypotheses, a survey was administered to IT professionals possessing knowledge of their organization's IT architecture and digital innovation performance. The dataset, comprising responses from 140 organizations, was analyzed using the partial least squares technique.

Results reveal that both dimensions of ITI generativity contribute to digital innovation performance, with the effect of DAI generativity being more pronounced. In addition, SAI and DAI generativities are driven by social and technical factors within an organization. More specifically, SAI generativity is positively associated with the usage of a digital application services platform and IT human resources, whereas DAI generativity is positively linked to the usage of a data analytics services platform, data analytics services usability and data analytics human resources.

This research contributes to the literature on digital innovation by introducing ITI generativity as a crucial ITI capability and deciphering its role in digital innovation. It also offers useful insights and guidance for practitioners on how to build ITIs to achieve better digital innovation performance.

This paper aims to introduce an alternative for modeling levitation forces between NdFeB magnets and bulks of high-temperature superconductors (HTS). The presented approach should be evaluated through two different formulations and compared with experimental results.

The T-A and H-ϕ formulations are among the most efficient approaches for modeling superconducting materials. COMSOL Multiphysics was used to apply them to magnetic levitation models and predict the forces involved.The permanent magnet movement is modeled by combining moving meshes and magnetic field identity pairs in both 2D and 3D studies.

It is shown that it is possible to use the homogenization technique for the T-A formulation in 3D models combined with mixed formulation boundaries and moving meshes to simulate the whole device’s geometry.

The case studies are limited to the formulations’ implementation and a brief assessment regarding degrees of freedom. The intent is to make the simulation straightforward rather than establish a benchmark.

The H-ϕ formulation considers the HTS bulk domain as isotropic, whereas the T-A formulation homogenization approach treats it as anisotropic. The originality of the paper lies in contrasting these different modeling approaches while incorporating the external magnetic field movement by means of the Lagrangian–Eulerian method.

This study aims to explore the key challenges and drawbacks of smart contracts (SCs) and how they impact digital resilience within small and medium enterprises (SMEs). Whilst this type of technology is seen as a step forward in terms of traceability, transparency and immutability to increase digital resilience, we argue that it should be approached with trepidation.

In developing this paper, the authors conduct a systematic literature search using the Scopus database. Through this, we identified 931 relevant articles, of which 30 were used as the focus of this article. Thematic analysis was used as the analytical approach to develop themes and meaning from the data.

In this paper, there is an emphasis on the importance of understanding the potential risks associated with SC implementation, as well as identifying appropriate strategies for mitigating any negative impact. In our findings, we puts forward three key themes, namely legality, security and human error, which we argue are key smart contract challenges that impact SME digital resilience.

In this paper, we propose the notion of “centralised control in decentralised solutions”. This comes from the research highlighting SC weaknesses in digital resilience for SMEs. We argue that there is a need for standards, regulations and legislation to address these issues, advocating, ironically, a centralised approach to decentralised technology.

Doctoral degrees are generally the highest level of education provided by educational institutions in Western countries. Nevertheless, doctoral degree holders – i.e. Philosophiae Doctors (PhDs) – struggle to find a job that matches their knowledge and expertise. This article investigates the effects that PhDs' satisfaction with different attributes of educational services has on their ability to obtain employment either in academia or outside it.

Secondary data were accessed from a nationwide survey performed in Italy between February and July 2014. More than 16,000 people who achieved a doctoral degree between January 2008 and December 2010 were involved in the analysis. The four-years' time-span was justified by the need to avoid potential biases produced by a short time lapse between data collection and the awarding of the respondents' doctoral degree. A logistic regression model was designed to shed light on the relationship between doctoral degree holders' satisfaction and their ability to find employment.

This study results suggested that the attributes of educational services had varying effects on the doctoral degree holders' ability to obtain work. More specifically, the perceived quality of research and methodological courses delivered by educational institutions and the quality of the technologies and digital resources available at the host university were found to positively affect the ability of doctoral degree holders to get a job in academia. Conversely, the satisfaction with the quality of the teaching activities was positively related to the doctoral degree holders' employability outside academia.

The quality of educational services provided to students attending a doctoral degree course affects their ability to find work. Enhancing the quality of educational services may reduce the risk of unemployment amongst doctoral degree holders.

To the best of the authors' knowledge, few attempts have been made to investigate the interplay between the quality of educational services and doctoral degree holders' employability.

Applying resource-based view and the configurational approach theory, this study seeks to understand the moderating role of age and gender between human resource practices and employee competencies relationship.

43 food processing firms of India participated in the study. Applying multilevel approach, the responses of 295 human resource managers and 3,557 employees were used for the analysis.

The human resource practices–employee competencies relationship was stronger in the case of young employees. Furthermore, the relationship was better in case of male employees over female employees. The results urge for greater attention toward age and gender diversity issues while tailoring human resource practices for enhancing employee skills. This article contributes the human resource management literature by exploring the role of age and gender, which has been used as the control variables as the moderating variables for governing the human resource practices–employee competencies relationship.

Special focus can be placed on extensive custom in-house training and development activities. Proper division of work can be done for new employees and experienced employees depending upon their learning capabilities. The firms can do so by either implementing formal or informal organizational structures to achieve full gains. Firms should focus largely on narrowing the development practices adopted for diverse age groups of workforce population. The four practices proposed by the Organization for Economic Cooperation and Development (2006) for ensuring effectiveness of development practices and its impact on old age employee effectiveness and attitude should be put in practice.

The originality of this study lies in its exploration of the intricate interplay among age, gender and human resource practices in shaping employee competencies. By understanding how these factors interact within the human resource practices–employee competencies framework, this research offers a unique perspective on the evolving workforce dynamics. It goes beyond the conventional human resource management strategies to uncover nuanced insights, shedding light on tailored approaches that consider the specific needs and aspirations of diverse employees. This innovative perspective contributes to a more inclusive, efficient and adaptable work environment, enriching both the academic understanding of human resources and the practical implementation of strategies for contemporary organizations.

Leveraging signalling theory and institutional environment theory, this study aims to examine how the entrepreneurial orientation of emerging market firms impacts initial public offering (IPO) performance.

The authors conduct regression analysis based on archival data from 312 firms’ IPOs in India.

The results in the Indian context suggest it differs from IPO performance in developed markets. In an emerging market context, the findings suggest that only competitive aggressiveness is valued by investors in IPOs. The findings further show that proactiveness and autonomy negatively influence IPO underpricing.

The research propositions imply that, owing to institutional voids in emerging markets, investors’ risk propensity and, hence, rewarding a firm’s entrepreneurial orientation differ from those in developed markets.

Extant literature has given limited attention to the dynamics of entrepreneurial orientation and the effect of each dimension of entrepreneurial orientation on IPO performance in emerging markets.

The purpose of this study is to examine the influence of perceived risk (perceived susceptibility and perceived severity), self-efficacy and individual differences (personal innovativeness and mobile payment knowledge) on consumers’ intention to use contactless mobile payment services (MPS). Additionally, it also empirically tested the moderating effect of hygiene consciousness in the proposed conceptual model.

The present research developed a conceptual model based on the health belief model (HBM) and diffusion of innovation theory (DOI) to empirically assess whether and how perceived risk, self-efficacy and individual differences influence consumer intention to use contactless MPS. The data was collected using the survey method from 251 smartphone users and analyzed with structural equation modeling. The moderating role of hygiene consciousness was studied in the relationship that self-efficacy and personal innovativeness shares with consumers’ intention toward contactless MPS.

The results of this study disclose that among all precursors of consumers’ intention toward contactless MPS, only perceived severity, self-efficacy, personal innovativeness and mobile payment knowledge positively affect consumers’ intention to use contactless MPS. However, the effect of perceived susceptibility on consumers’ intention toward contactless MPS was found to be non-significant. The results further depict that hygiene consciousness acts as a moderator in driving consumers’ intention toward contactless mobile payment services.

The HBM model and DOI, which incorporate perceived risk, self-efficacy, individual differences and hygiene consciousness, give light on the factors influencing consumer intention to use contactless MPS in a pandemic situation such as COVID-19. The study will provide useful insights to marketers on how to frame their strategies in the aftermath of pandemics, as the contactless mobile payment method may be perceived as a defensive behavior during and after pandemics.

The study will provide useful insights to marketers on how to frame their strategies in the aftermath of pandemics, as the contactless mobile payment method may be perceived as a defensive behavior during and after pandemics.

By uniting perceived risk, self-efficacy and individual differences with consumers’ intention toward contactless MPS in a conceptual model, along with examining the moderating role of hygiene consciousness, this work responds to the calls for upcoming research concerning mobile payment systems as means of future payment. Thus, it offers an understanding of particular consumer motivations that may guide consumers’ intention toward contactless MPS through the theoretical lens of HBM and DOI.

The authors designed a science and engineering curricular program that includes design features that promote student interest and motivation and examined teachers' and students' views on meaningfulness, motivation and interest.

The research approach consisted of mixed methods, including content analyses and descriptive statistics.

The curricular program successfully included all four of the US National Academies of Sciences' design features for promoting interest and motivation through scientific investigation and engineering design. During interviews, teachers and students expressed evidence of design features associated with interest and motivation. After experiencing the program, more than 60% of all students scored high on all four science and engineering meaningfulness and interest survey items.

A curricular program that extends science learning through the engineered design of solutions is an innovative approach to foster both conceptual knowledge development and interest and motivation in science and engineering.

The purpose of this paper is to investigate the process of family equity creation and its role for transgenerational entrepreneurship.

This paper combines a systematic literature review on family equity with conceptual theory building, resulting in a model of family equity creation.

The proposed model contains three phases of equity creation that ulitmately leads to transgenerational entrepreneurship: harvesting, institutionalization (via a single family office) and reinvestment.

This paper conceptually introduces the family equity creation model, which may serve as integrative framework for future research on transgenerational value creation by entrepreneurial families. The presented findings are of relevance for family entrepreneurship scholars, entrepreneurial families, as well as for practitioners.