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This study aims to discuss whether the lasting Confucian philosophy could be used in responding to the consequences of technological impacts on jobs in the Age of Robots from a human resource management and development (HRMD) perspective.

Related literature concerning traditional Confucian philosophy and the power of Confucianism was examined. Key perspectives on this topic relating to smart technology were analyzed. Whether Confucian humanity could be used to promote ethical behavior and continuous improvement in the workplace in the Age of Robots was then discussed.

Three propositions were made: humans can better coexist with artificial intelligence (AI) and robots if humanity is valued, cultivated and practiced; some concepts of traditional Confucian philosophy can be applied to support management, employees and organizations to go through the technology-driven social change; and managements and human resource professionals can be the change agent and adopt Confucian paradigm for employees’ and organizational effectiveness in the Age of Robots.

Future research on human–machine interactions and strategic plans to apply Confucian humanity on job restructuring in robotic workplace is recommended.

For organizational development implication, human resource professionals may identify business opportunities, develop human–machine interactions strategic plans, build out creative process and promote moral behaviors and ethical conduct with a growth mindset.

For corporate social responsibility, management and human resource professionals can upskill and reskill employees to develop talents, avoid technology unemployment and advance their human skills to be competitive in the robotic workplace.

This study highlighted how human workers should work like a human, not as a robot, by building a lifelong character through a moral refinement process for self-fulfillment, social responsibility and social stability.

This study aims to use a novel data set of 636 murderers sentenced to death in California to investigate homicide offenses that are committed but not prosecuted or officially solved, a concept known as the dark figure of crime.

Uaing appellate records from the Supreme Court of California, which contain extensive information about the offender’s background, criminal offense history and mental health diagnoses, it was revealed that one-third of the offenders in the sample have additional homicide offenses for which they likely bear responsibility, but were not prosecuted.

Most of these involve one or two additional homicides, though a wide range was observed spanning 0 to 93 additional victims. Those with a dark figure of murder and unsolved homicides had substantially more prior arrests, convictions and prison incarcerations and were higher in psychopathy, sexual sadism, homicidal ideation and gang involvement than offenders without a dark figure. Psychopathy and homicidal ideation were the most robust predictors of both the presence and magnitude of a dark figure of murder and unsolved homicides, whereas sexual sadism was inconsistently associated.

A disproportionate amount of the unsolved murders in the USA are likely perpetrated by the most pathological types of offenders, those with extensive antisocial careers and severe externalizing psychopathology.

The purpose of this study is to offer a checklist that can be used for both creating and evaluating digital collections, which are also sometimes referred to as data sets as part of the collections as data movement, suitable for computational use.

The checklist was built by synthesising and analysing the results of relevant research literature, articles and studies and the issues and needs obtained in an observational study. The checklist was tested and applied both as a tool for assessing a selection of digital collections made available by galleries, libraries, archives and museums (GLAM) institutions as proof of concept and as a supporting tool for creating collections as data.

Over the past few years, there has been a growing interest in making available digital collections published by GLAM organisations for computational use. Based on previous work, the authors defined a methodology to build a checklist for the publication of Collections as data. The authors’ evaluation showed several examples of applications that can be useful to encourage other institutions to publish their digital collections for computational use.

While some work on making available digital collections suitable for computational use exists, giving particular attention to data quality, planning and experimentation, to the best of the authors’ knowledge, none of the work to date provides an easy-to-follow and robust checklist to publish collection data sets in GLAM institutions. This checklist intends to encourage small- and medium-sized institutions to adopt the collection as data principles in daily workflows following best practices and guidelines.

A nation's economic development is adversely affected by the rising population and the lack of employment opportunities, necessitating the promotion of entrepreneurial activities. This study aims to unfurl the critical factors shaping university students' entrepreneurial intentions (EI) in an emerging economy.

The study assessed the EI of 640 university students across India's top 5 central universities through structural equation modeling by extending the entrepreneurial event model (EEM) and dark triad theory. Mediation and moderation techniques were used to examine the model's direct and indirect linkages.

The results show that propensity to act (PTA), perceived resilience (PRS) and narcissism (NAR) magnify desirability, significantly increasing students' EI. The association between the underlying constructs is partially mediated by the PTA and perceived desirability (PD). In addition, the linkage between PD and students' EI is strengthened by the pursuit of excellence (PoE) and weakened by perceived risk (PR).

The study's findings could assist educators, universities, aspiring entrepreneurs, financial institutions, policymakers, investors, venture capitalists, incubators and accelerators in reinforcing entrepreneurial culture in India by establishing a link between crucial personality traits and intentions to start entrepreneurial ventures.

Personality traits such as NAR, resilience and the PoE have not received much attention in the entrepreneurship literature and call for a rigorous inquiry. The study tries to embrace these dominant personality traits by broadening the perspectives of EEM and dark triad theory via a comprehensive conceptual model. It also explores the role of the PoE and PR as moderators to examine the possible association between the identified constructs.

This paper considers how knowledge has been organized about museum objects and belongings at the Museum of Anthropology, in what is now known as British Columbia, and proposes the concept of historical or provenance warrant to understand how cataloguing decisions were made and are limited by current museum systems.

Through interviews and archival research, we trace how cataloguing was done at the museum through time and some of the challenges imposed by historical documentation systems.

Reading from the first attempts at standardizing object nomenclatures in the journals of private collectors to the contemporary practices associated with object documentation in the digital age, we posit that historic or provenance warrant is crafted through donor attribution or association, object naming, the concept of geo-cultural location and the imposition of unique identifiers, numbers and direct labels that physically mark belongings.

The ultimate goal and contribution of this research is to understand and describe the systems that structure and organize knowledge, in an effort to repair the history and terminologies moving forward.

This study aims to provide an overview of the dimension of stored collections displayed in visible storage and to indicate the main factors which hinder their accessibility.

This study is based on quantitative analysis: a survey was conducted through the offices of International Council of Museums and direct invitations to 2,558 museums located worldwide.

The study estimated 32% on average the share of stored collections displayed in visible storage. The analysis provides a picture of how many stored items are made accessible in visible storage across the continents, according to the collection’s type and size and the museums’ legal status. In addition, several aspects of visible storage are investigated to highlight whether or not it truly enables museums to achieve accessibility of their stored collections and which factors might hinder the accessibility. Amid them, the foremost factors involve the inadequacy of resources, such as the lack of staff (71%) and poor budget (68%). Because of it, museums are prone to setting up offsite storage (37%), often 16 km far from the city centre, thereby questioning the concept of accessibility itself.

One major limitation of this study is that it does not consider people’s standpoints. Therefore, the author recommends that future studies focus on what people opine on visible storage, such as their appreciation of the display format, the behind-the-scenes, their need for interpretation and the degree of satisfaction with their information needs, as well as their perception of the size of stored collections.

These findings suggest that museums could take action in areas whereby the data demonstrated weaknesses in terms of accessibility. For instance, museums could set up a shuttle service or arrange public transportation service to allow people to visit offsite storage. Additionally, financial accessibility might be achieved by not charging some groups (elderly, students, etc.).

The topic of stored collections and their accessibility has crucial social implications because not displaying collections triggers inequality amid social groups of excluded people and a small elite.

This study focuses on visible storage as a possible solution to enhance the accessibility of collections and indicates to what extent visible storage provides this accessibility. On the contrary, previous research did not estimate how much visible storage impacts the accessibility of stored collections.

This study aims to examine the younger generations’ experiential consumption of foreign contemporary music online (i.e. digital music streaming services) by generation and gender in the US market.

The author proposes a sequential experiential consumption model by applying Jacoby’s refined stimulus-organism-response (S-O-R) theory to better understand the experiential sequences in foreign music consumption among young generations in the US market. The proposed model, using structural equation modeling (SEM), examines a cognitive permeable role and a hierarchical affective mediating role. Also, moderating roles of generation and gender are simultaneously tested in overall and specific causal relationships.

The refined S-O-R framework is superior to a linear one in better understanding young consumers’ online experiential foreign music consumption behavior. Moreover, hierarchical sequenced affective organismic behavior is crucial to enhance young consumers’ online music consumption experiences to regulate subsequent behavioral responses. Furthermore, gender differences but no generational differences exist in the experiential consumption process among young consumers. Nevertheless, the strength of S-O-R factors affecting experiential consumption seems idiosyncratic simultaneously in gender and generation.

The study suggests foreign music streaming services boost profitability by focusing on young consumers' psychological ownership and tailored experiences, encouraging a shift from freemium to premium subscriptions. Also, the findings recommend adopting phygital experiences using technologies like AR, VR and MR to enhance engagement and create unique, emotionally resonant experiences for young consumers, thus fostering a more profitable business model.

The authors address under-researched topics relevant to young generations by applying Jacoby’s refined S-O-R framework to foreign music consumption through online streaming. This approach delves into a lesser-explored consumer behavior framework, highlighting young generations’ musical trends. The model reveals cognitive and affective roles, offering advantages over traditional linear S-O-R models. It also uniquely incorporates the moderating effects of generation and gender in music consumption studies, addressing a gap in music-related studies.

This paper studies the impact of societal trust on the conservative financing policy puzzle, aiming to cover a gap in the relationship between cultural values and the conservative financing policy.

We use a sample of 14,509 privately held medium-sized manufacturing firms from 26 European countries between 2015 and 2020 and rely on logistic regression methods controlling for firm-specific and macroeconomic factors.

We show that societal trust decreases the odds of being a zero-leverage or almost zero-leverage firm. Also, the probability of being a conservatively financed firm increases for older and more profitable firms and decreases with tangibility. In more trustworthy national environments, firms are less averse to debt as a source of financing. Our results are robust to the specific measure of trust, estimation methods, sampling procedures, and annual financial constraint status. Moreover, we show that the effect is noticed both in the long-term debt and the short-term debt with a lower economic impact in the latter situation and that increased societal trust attenuates (reinforces) the effect of being a financially constrained (unconstrained) firm on the odds of adopting a conservative financing policy.

Societal trust strategically impacts debt financing policy and could help foster firms’ growth, particularly for those facing heavier financial constraints.

Novel evidence on the impact of societal trust on the conservative financing policy, for privately held medium-sized European firms.

This paper aims to empirically examine the presence of a balance sheet channel (BSC) of monetary transmission mechanism (MTM) using firm-level panel data of Pakistan. It also explores the role of financial sector development (FSD) and firm age (FAge) in formulating the effect of monetary policy (MP) on the investment decisions of firms.

The authors applied the two-step system generalized method of moments (SYS-GMM) estimator proposed by Blundell and Bond (1998) to carry out the empirical analysis. The final sample of the study includes 450 nonfinancial firms listed at the Pakistan Stock Exchange (PXS) during the period 1988–2021. The empirical framework of the study is based on the new classical model of investment. Different measures of MP are used to obtain the robust empirical evidence. To take into account the different dimensions of FSD, the index developed by Svirydzenka (2016) is utilized. To examine the moderating role of FSD and FAge, the interacted model is estimated, which enables the authors to estimate the MP effects at different percentiles of the moderating variables.

The study’s findings confirm the existence of BSC by revealing that MP instruments have negative, significant effects on firms’ investment decisions. These findings suggest that during periods of tight MP, firms significantly cut their investment expenditures. The results of the interacted model show that both FSD and FAge play an important role in lessening the adverse effects of MP on firms’ investment policy. Specifically, the calculated total effects suggest that the negative effect of MP on investment is considerably weaker at the higher percentiles of FSD and FAge.

The findings of the study have several important policy implications for different stakeholders. Specifically, the evidence suggests that the monetary authorities should keep in mind the adverse effects of MP while designing tight MP. The tight MP will have a negative effect on firm investment, which, in turn, will adversely affect firm growth and subsequently the growth rate and level of employment in the economy. Thus, during episodes of tight MP, the authorities should provide other facilities such as a friendly tax environment, better legal and regulatory framework, special credit arrangements, and provisions of loan guarantees. The findings of the moderating role suggest that the government may improve FSD to minify the adverse impacts of tight MP. Finally, the findings suggest that the government should design external financing-friendly policies to provide more opportunities to newly established firms to avoid tight MP’s effects.

The findings of the moderating role suggest that the government may improve FSD to minify the adverse impacts of tight MP. Finally, the findings suggest that the government should design external financing-friendly policies to provide more opportunities to newly established firms to avoid tight MP’s effects.

There are three significant contributions of the paper. Firstly, it provides empirical evidence on the existing of BSC of MTM using firm-level panel data spanning over 43 years for an emerging and small economy, namely Pakistan. Secondly, it examines the moderating role of FSD and FAge in formulating the effects of MP. Finally, it presents the total impact of MP at different percentiles of FSD and FAge, which definitely broadens the understanding of MTM through indirect channels.

The purpose of this study was to examine how two socio-historical contexts within the United States, the Movement for Black Lives and the COVID-19 pandemic, informed approaches to improving racial climate in science, technology, mathematics and engineering (STEM) graduate education.

The authors used a general qualitative inquiry research study design to conduct focus groups (n = 121) with graduate students, postdoctoral fellows and faculty members from across STEM disciplines as well as administrators whose work involves STEM graduate students. Participants were from two US institutions involved in a National Science Foundation networked improvement community seeking to create inclusive environments for STEM graduate students.

This study demonstrates how these socio-historical contexts illuminated and amplified on-going efforts to address racial climate for graduate students in US-based graduate education. In response to these events, STEM faculty devoted time that otherwise might have gone to purely technical or scientific endeavors to addressing racial climate. However, some faculty members remain hesitant to address racial climate and efforts appear to have further waned over time. While diversity, inclusion and equity efforts came to the forefront of the collective consciousness during this time, participants worry that these efforts are not sustainable, particularly without support from faculty and administrators.

The findings from this study will inform efforts to improve racial climate in STEM graduate programs.

This study fills an identified need to capture how socio-historical contexts, like the US Movement for Black Lives and the COVID-19 pandemic, have influenced approaches to improving racial climate in STEM graduate programs.